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Research| Volume 102, ISSUE 2, P1066-1082, February 2019

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Formulation, process conditions, and biological evaluation of dairy mixed gels containing fava bean and milk proteins: Effect on protein retention in growing young rats

  • Author Footnotes
    * These authors contributed equally to this study.
    I. Berrazaga
    Footnotes
    * These authors contributed equally to this study.
    Affiliations
    UNH, Unité de Nutrition Humaine, CRNH, Université Clermont Auvergne, INRA, Auvergne, 63000 Clermont-Ferrand, France

    Unité Mixte de Recherche (UMR), IATE Agropolymers Engineering and Emerging Technologies, Université Montpellier, Montpellier SupAgro, INRA, CIRAD, 34060 Montpellier, France
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  • Author Footnotes
    * These authors contributed equally to this study.
    J.L. Mession
    Footnotes
    * These authors contributed equally to this study.
    Affiliations
    UMR Procédés Alimentaires et Microbiologiques, Agrosup Dijon, Université de Bourgogne Franche-Comté, 21000 Dijon, France
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  • K. Laleg
    Affiliations
    UNH, Unité de Nutrition Humaine, CRNH, Université Clermont Auvergne, INRA, Auvergne, 63000 Clermont-Ferrand, France
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  • J. Salles
    Affiliations
    UNH, Unité de Nutrition Humaine, CRNH, Université Clermont Auvergne, INRA, Auvergne, 63000 Clermont-Ferrand, France
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  • C. Guillet
    Affiliations
    UNH, Unité de Nutrition Humaine, CRNH, Université Clermont Auvergne, INRA, Auvergne, 63000 Clermont-Ferrand, France
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  • V. Patrac
    Affiliations
    UNH, Unité de Nutrition Humaine, CRNH, Université Clermont Auvergne, INRA, Auvergne, 63000 Clermont-Ferrand, France
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  • C. Giraudet
    Affiliations
    UNH, Unité de Nutrition Humaine, CRNH, Université Clermont Auvergne, INRA, Auvergne, 63000 Clermont-Ferrand, France
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  • O. Le Bacquer
    Affiliations
    UNH, Unité de Nutrition Humaine, CRNH, Université Clermont Auvergne, INRA, Auvergne, 63000 Clermont-Ferrand, France
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  • Y. Boirie
    Affiliations
    UNH, Unité de Nutrition Humaine, CRNH, Université Clermont Auvergne, INRA, Auvergne, 63000 Clermont-Ferrand, France

    Service de Nutrition Clinique, Centre Hospitalier Universitaire (CHU) Gabriel Montpied, 63000 Clermont-Ferrand, France
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  • V. Micard
    Affiliations
    Unité Mixte de Recherche (UMR), IATE Agropolymers Engineering and Emerging Technologies, Université Montpellier, Montpellier SupAgro, INRA, CIRAD, 34060 Montpellier, France
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  • F. Husson
    Affiliations
    UMR Procédés Alimentaires et Microbiologiques, Agrosup Dijon, Université de Bourgogne Franche-Comté, 21000 Dijon, France
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  • R. Saurel
    Affiliations
    UMR Procédés Alimentaires et Microbiologiques, Agrosup Dijon, Université de Bourgogne Franche-Comté, 21000 Dijon, France
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  • S. Walrand
    Correspondence
    Corresponding author
    Affiliations
    UNH, Unité de Nutrition Humaine, CRNH, Université Clermont Auvergne, INRA, Auvergne, 63000 Clermont-Ferrand, France
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  • Author Footnotes
    * These authors contributed equally to this study.
Open ArchivePublished:December 04, 2018DOI:https://doi.org/10.3168/jds.2018-14610

      ABSTRACT

      Food formulation and process conditions can indirectly influence AA digestibility and bioavailability. Here we investigated the effects of formulation and process conditions used in the manufacture of novel blended dairy gels (called “mixed gels” here) containing fava bean (Vicia faba) globular proteins on both protein composition and metabolism when given to young rats. Three mixed dairy gels containing casein micelles and fava bean proteins were produced either by chemical acidification (A) with glucono-δ-lactone (GDL) or by lactic acid fermentation. Fermented gels containing casein and fava bean proteins were produced without (F) or with (FW) whey proteins. The AA composition of mixed gels was evaluated. The electrophoretic patterns of mixed protein gels analyzed by densitometry evidenced heat denaturation and aggregation via disulfide bonds of fava bean 11S legumin that could aggregate upon heating of the mixtures before gelation. Moreover, fermented gels showed no particular protein proteolysis compared with gel obtained by GDL-induced acidification. Kinetics of acidification were also evaluated. The pH decreased rapidly during gelation of GDL-induced acid gel compared with fermented gel. Freeze-dried F, A, and FW mixed gels were then fed to 30 young (1 mo old) male Wistar rats for 21 d (n = 10/diet). Fermented mixed gels significantly increased protein efficiency ratio (+58%) and lean mass (+26%), particularly muscle mass (+9%), and muscle protein content (+15%) compared with GDL-induced acid gel. Furthermore, F and FW formulas led to significantly higher apparent digestibility and true digestibility (+7%) than A formula. Blending fava bean, casein, and whey proteins in the fermented gel FW resulted in 10% higher leucine content and significantly higher protein retention in young rats (+7% and +28%) than the F and A mixed gels, respectively. Based on protein gain in young rats, the fermented fava bean, casein, and whey mixed proteins gel was the most promising candidate for further development of mixed protein gels with enhanced nutritional benefits.

      Key words

      INTRODUCTION

      Promoting vegetable protein sources in human food intake can help efforts to prevent health risks associated with an excessive consumption of animal-based foodstuffs and reduce the ecological footprint of animal production (
      • Duranti M.
      • Scarafoni A.
      Modification of storage protein content and quality in legume seeds.
      ;
      • FAO (Food and Agriculture Organization of the United Nations)
      Statistical yearbook.
      ). However, vegetable proteins such as legume proteins are deficient in some essential AA (i.e., sulfur AA;
      • Boye J.
      • Zare F.
      • Pletch A.
      Pulse proteins: Processing, characterization, functional properties and applications in food and feed.
      ). This deficiency could be resolved by mixing animal and legume protein sources. Owing to their wide consumption and appreciation, dairy-based gel products are appropriate for this novel association. In particular, yogurt-like products display both high sensory preference and satisfying nutritional value regarding essential AA and minerals in organic form easily assimilated by the organism (
      • Cayot P.
      • Lorient D.
      Structure et Technofonctions des Protéines du Lait.
      ;
      • Sfakianakis P.
      • Tzia C.
      Conventional and innovative processing of milk for yogurt manufacture; Development of texture and flavor: A review.
      ). Dairy gels such as yogurt are manufactured from milk, and their gel structure results from the coagulation of milk proteins (
      • Chandan R.C.
      History and consumption trends.
      ). Acid gelation of milk can be achieved by fermentation using lactic acid bacteria or chemically using organic acids such as glucono-δ-lactone (GDL;
      • Lucey J.A.
      • Tamehana M.
      • Singh H.
      • Munro P.A.
      A comparison of the formation, rheological properties and microstructure of acid skim milk gels made with a bacterial culture or glucono-δ-lactone.
      ). Moreover, versatility of the different dairy protein fractions regarding their functional properties would allow their incorporation in a wide range of textured food stuffs, alone or with other protein sources (
      • Cayot P.
      • Lorient D.
      Structure et Technofonctions des Protéines du Lait.
      ).
      Several studies have evaluated and compared the physicochemical properties, including rheological behavior, of dairy gels produced by fermentation and chemical acidification (
      • Amice-Quemeneur N.
      • Haluk J.-P.
      • Hardy J.
      • Kravtchenko T.P.
      Influence of the acidification process on the colloidal stability of acidic milk drinks prepared from reconstituted nonfat dry milk.
      ;
      • Vlahopoulou I.
      • Bell A.E.
      Preliminary studies on the gelation processes of fermented and GDL-acidified bovine and caprine milk systems.
      ;
      • Lucey J.A.
      • Tamehana M.
      • Singh H.
      • Munro P.A.
      A comparison of the formation, rheological properties and microstructure of acid skim milk gels made with a bacterial culture or glucono-δ-lactone.
      ;
      • Laligant A.
      • Famelart M.-H.
      • Brulé G.
      • Piot M.
      • Paquet D.
      Fermentation by lactic acid bacteria at two temperatures of pre-heated reconstituted milk. I—Behaviour of proteins and minerals.
      ;
      • Azim Z.
      • Corredig M.
      • Koxholt M.
      • Alexander M.
      Sol gel transitions during acid gelation of milk containing modified waxy maize starch. Differences between chemical and bacterial acidification measured using rheological and spectroscopic techniques.
      ). Authors have studied the effect of mixing milk proteins with legume proteins (i.e., pea, soy, or lentil;
      • Zare F.
      • Boye J.I.
      • Orsat V.
      • Champagne C.P.
      • Simpson B.K.
      Microbial, physical and sensory properties of yogurt supplemented with lentil flour.
      ,
      • Zare F.
      • Champagne C.P.
      • Simpson B.K.
      • Orsat V.
      • Boye J.I.
      Effect of the addition of pulse ingredients to milk on acid production by probiotic and yoghurt starter cultures.
      ,
      • Zare F.
      • Orsat V.
      • Champagne C.P.
      • Simpson B.K.
      • Boye J.I.
      Microbial and physical properties of probiotic fermented milk supplemented with lentil flour.
      ;
      • Beliciu C.M.
      • Moraru C.I.
      Physico-chemical changes in heat treated micellar casein–soy protein mixtures.
      ;
      • Wong D.
      • Vasanthan T.
      • Ozimek L.
      Synergistic enhancement in the co-gelation of salt-soluble pea proteins and whey proteins.
      ;
      • Yousseef M.
      • Lafarge C.
      • Valentin D.
      • Lubbers S.
      • Husson F.
      Fermentation of cow milk and/or pea milk mixtures by different starter cultures: Physico-chemical and sensorial properties.
      ;
      • Akin Z.
      • Ozcan T.
      Functional properties of fermented milk produced with plant proteins.
      ). Interactions between the 2 protein sources in admixture and the formation of aggregates during thermal processing were also investigated (
      • Roesch R.R.
      • Corredig M.
      Heat-induced soy-whey proteins interactions: Formation of soluble and insoluble protein complexes.
      ,
      • Roesch R.R.
      • Corredig M.
      Study of the effect of soy proteins on the acid-induced gelation of casein micelles.
      ;
      • Chihi M.-L.
      • Mession J.
      • Sok N.
      • Saurel R.
      Heat-induced soluble protein aggregates from mixed pea globulins and β-lactoglobulin.
      ;
      • Mession J.-L.
      • Roustel S.
      • Saurel R.
      Interactions in casein micelle–pea protein system (part I): Heat-induced denaturation and aggregation.
      ,
      • Mession J.-L.
      • Roustel S.
      • Saurel R.
      Interactions in casein micelle–pea protein system (part II): Mixture acid gelation with glucono-δ-lactone.
      ). It was reported that fermentation of milk, legume flour, or legume-enriched products could improve their protein efficiency ratio and in vivo and in vitro protein digestibility compared with nonfermented products (
      • Lee H.
      • Friend B.A.
      • Shahani K.M.
      Factors affecting the protein quality of yogurt and acidophilus milk.
      ;
      • Torres A.
      • Frias J.
      • Granito M.
      • Vidal-Valverde C.
      Fermented pigeon pea (Cajanus cajan) ingredients in pasta products.
      ;
      • Chandra-Hioe M.V.
      • Wong C.H.M.
      • Arcot J.
      The potential use of fermented chickpea and faba bean flour as food ingredients.
      ;
      • Rizzello C.G.
      • Verni M.
      • Koivula H.
      • Montemurro M.
      • Seppa L.
      • Kemell M.
      • Katina K.
      • Coda R.
      • Gobbetti M.
      Influence of fermented faba bean flour on the nutritional, technological and sensory quality of fortified pasta.
      ). However, to our knowledge, the influence of both formulation and process conditions (heating and gelation route) of legume–dairy mixed gels on their nutritional properties has not yet been studied.
      In this study, dairy gels were enriched with fava bean proteins to improve the nutritional value of legume proteins. The objective was to evaluate the effects of formulation and process on protein composition of the fava bean–dairy mixed gels and their assimilation in young rats.
      For this purpose, cow milk proteins (casein micelles and whey proteins) and fava bean proteins were laboratory-prepared and characterized separately in terms of composition. Fava bean–dairy mixed gels containing 53 ± 1% fava bean proteins and 47 ± 0.5% total milk proteins were then manufactured. This composition was established on the basis of a typical dairy yogurt containing approximately 40 g of protein/kg (
      • Favier J.C.
      Composition du yaourt.
      ), from which protein content was supplemented 2-fold with legume proteins. Different protein mixtures were prepared and coheated to induce protein thermal denaturation and aggregation to enhance protein gelation abilities (
      • Chihi M.-L.
      • Mession J.
      • Sok N.
      • Saurel R.
      Heat-induced soluble protein aggregates from mixed pea globulins and β-lactoglobulin.
      ). Gelation of coheated mixtures was subsequently performed by 2 different processes: chemical acidification with GDL or lactic acid fermentation. Protein efficiency, protein digestibility, protein retention, and growth rate were evaluated in young rats fed the freeze-dried and crushed fava bean–dairy mixed gels for 21 d to determine the most promising mixed gel formula in terms of nutritional enhancement.

      MATERIALS AND METHODS

      Raw Materials

      The globular fava bean proteins were extracted from an air-classified concentrate supplied by Sotexpro (La Croix Forzy, Bermericourt, France). Fat and CP contents were 8.6 and 58.2% by weight on a DM basis, respectively. Whey protein (Promilk 802 FB) and casein (MPC 852B) commercial isolates were supplied by Ingredia (Arras, France). Total protein content was 77.8% by weight for whey and 83.0% by weight on a DM basis for casein raw materials. A commercial freeze-dried lactic bacteria cocktail (Streptococcus thermophilus and Lactobacillus delbrueckii ssp. bulgaricus) was purchased in a local supermarket (Alsa, Rueil Malmaison, France). All other reagents and chemicals purchased from Sigma-Aldrich (St Louis, MO) were of analytical grade.

      Chemical Assays

      Total moisture and ash content were evaluated according to
      • AOAC International
      Official Methods of Analysis.
      procedures. Protein nitrogen was determined according to EN ISO 20483:2013 method (
      • ISO
      Cereals and pulses. Determination of the nitrogen content and calculation of the crude protein content–Kjeldahl method (ISO 20483:2013).
      ), with a nitrogen-to-protein conversion factor of 6.25 for fava bean proteins and 6.38 for milk proteins. Reducing sugar (lactose) content of milk samples was assessed using 3,5-dinitrosalicylic acid reagent (
      • Miller G.L.
      Use of dinitrosalicylic acid reagent for determination of reducing sugar.
      ). Amino acid composition was determined by Agrobio (Rennes, France) according to the
      • European Commission
      Commission Regulation (EC) No 152/2009 of 27 January 2009 laying down the methods of sampling and analysis for the official control of feed.
      .

      Preparation of Protein Stock Solutions and Suspension from Raw Materials

      Fava Bean Proteins

      The fava bean protein concentrate was suspended in a 50 mM phosphate buffer at pH 7 using a solid-to-buffer ratio of 1:8 (wt/vol) under vigorous stirring for approximately 2 h at 25°C. Insoluble material was removed by centrifugation (10,000 × g, 2 × 30 min, 20°C). The CP extract was then acidified at pH 4.5 by adding 0.5 M HCl dropwise under stirring for 30 min until a stable value was reached. Insoluble protein material was recovered by centrifugation (10,000 × g, 30 min, 25°C) of the acidified extract. Supernatants containing water-soluble material and nonglobular protein (albumins, enzymes) were discarded. Protein pellets were washed with deionized water (DW) using a pellet-to-water ratio of 1:4 (wt/vol) and centrifuged again as above. Washed pellets were pooled and resuspended in DW while applying a pellet-to-water ratio of 1:3 (wt/vol). The pH was adjusted to 7 ± 0.1 by adding 1 M NaOH dropwise under vigorous stirring (∼2 h) until stable. The final suspension was centrifuged using the same parameters as above to obtain the fava bean protein stock solution (10.5 ± 1.5% by weight of soluble protein).

      Milk Proteins: Casein and Whey Proteins

      The MPC 852B powder was suspended in DW using a solid-to-water ratio of 1:10 (wt/vol) under gentle stirring for approximately 4 h at 60°C in a thermostatic bath. The suspension was filtrated through a qualitative ester cellulose paper filter (grade 1, porosity 5 µm; Whatman, Maidstone, UK) deposited on a Büchner funnel under vacuum. The casein micelle suspension solution (7.3 ± 0.5% by weight of total protein) was collected from the filtrate.
      The Promilk 802 FB powder was suspended in 3 quarters of the final volume of DW, and pH was adjusted to 7 ± 0.1 by adding 1 M NaOH dropwise under gentle stirring to avoid foaming. The volume of the suspension was made up with DW to reach a final solid-to-water ratio of 1:5 (wt/vol) while stirring for 2 h at room temperature. The suspension was centrifuged (10,000 × g, 30 min, 25°C). The whey protein stock solution (3.5 ± 0.3% by weight of total protein) was obtained from pooled supernatants. All protein stock solutions and suspensions were stored for less than 48 h at 4°C to minimize bacterial growth because no NaN3 was added.

      Protein Mixture Preparation and Acid Gelation

      Each fava bean–dairy protein mixture was prepared by accurately weighting the fava bean, casein, and whey protein stock solutions and suspensions. Mixtures contained 53 ± 1% of fava bean proteins and 47 ± 0.5% of milk proteins. For the formula with added whey proteins, the weight ratio of casein to whey was 1:0.4, with a slightly higher level of whey proteins than that of raw cow milk; supplementing milk with whey proteins is usually performed during yogurt manufacture to improve texture properties (
      • Cayot P.
      • Lorient D.
      Structure et Technofonctions des Protéines du Lait.
      ). Lactose powder was added to the mixtures to reach 5% by weight final content, and the weight of each mixture was adjusted with DW to 200 g in a hermetically sealed 250-mL vessel (Duran Schott, Mainz, Germany). Stirring was carried out at 25°C for approximately 15 min. Mixtures were then heated from 25°C to 85°C in a temperature-controlled bath at a ramp rate of 1°C/min, incubated at 85°C for 30 min, and then cooled in ice for 15 min.
      Each cooled mixture was transferred to plastic vessels with a screw lid. Two kinds of fava bean–dairy mixed gels were provided. The acid-induced gelation of the mixtures was performed at 42°C in the presence of either GDL (0.5 g of GDL/g of total protein for the GDL-induced acid mixed gel; A) or a commercial cocktail of lactic bacteria for fermented mixed gels [25 mg of lactic ferments/g of total protein; produced without (F) or with (FW) whey proteins]. A protein mixture of fava bean, casein, and whey proteins (AW) was also prepared and acidified with GDL to compare change in protein composition with its fermented counterpart FW. However, AW was not used for the in vivo studies to minimize the number of animal experiments and sample analyses. Preliminary experiments showed that the applied GDL amount (40 g of GDL/L of protein mixture) allowed mixture gelation within less than 5 h at 42°C because samples did not collapse when test tubes were inverted. For fermentation, 0.2 g of lactic acid bacteria powder per liter was added to mixtures F and FW following the manufacturer's instructions.
      All mixtures were incubated at 42°C for 18 h. In parallel, the pH decrease with time was measured by continuous pH monitoring using a model C561 pH meter (Consort, Turnhout, Belgium). All samples had a pH value at equilibrium of 4.1 ± 0.2. Thereafter, gelled mixtures were unmolded and mashed with a spatula as 1-cm-thick layers in trays, then stored at −20°C and freeze-dried. Dried cakes were crushed and packaged in hermetically sealed plastic bags.

      SDS-PAGE

      Sodium dodecyl sulfate PAGE was carried out for each fava bean, casein, and whey protein stock solution and suspension and for the final freeze-dried mixed gels A, AW, F, and FW. Nonreducing (NR) or reducing (R) SDS-PAGE was performed on a discontinuous buffered system using a tris-HCl polyacrylamide:bis-acrylamide (C = 2.7% by weight) stacking gel (T = 4%, wt/vol, pH 6.8) and running gel (T = 12%, wt/vol, pH 8.9) and in the presence of SDS (0.1%, wt/vol; where T = total content of cross-linking monomers (acrylamide + bisacrylamide) within the electrophoresis gel and C = bisacrylamide to total monomers (acrylamide + bisacrylamide) weight ratio;
      • Laemmli U.K.
      Cleavage of structural proteins during the assembly of the head of bacteriophage T4.
      ). The electrophoresis gel dimensions were 14 × 16 cm.
      The protein stock solutions and suspensions were diluted to 2.5 g of protein/L with the sample buffer containing 62.5 mM tris-HCl, pH 6.8, 10% glycerol (wt/vol), 0.005% bromophenol blue (wt/vol), and 0.2% SDS (wt/vol) without (NR) or with (R) 1% (wt/vol) dithiothreitol. The casein micelle suspension was diluted to 5 g of protein/L in a denaturing buffer (weight ratio 1:40) containing 2% SDS (wt/vol), 6 M urea, 100 mM tris-HCl, pH 8.5, and 10 mM EDTA and then mixed (volume ratio 1:1) with the sample buffer as above.
      For protein analysis of the different freeze-dried mixed gels, each dry sample was resuspended in the same denaturing buffer (weight ratio of 1:50) used for casein proteins and stirred under moderate heating (60°C) until complete solubilization. Protein samples were then mixed at volume ratio 1:1 with the sample buffer. Under R conditions, samples were heated for 10 min in boiling water. Each well was loaded with 10 µL of sample (5 mg of protein/mL). Wide-range molecular weight (Mw) standards (S8445, Precision Plus Protein TM standards, Sigma) were deposited in a separate lane. Protein bands precipitated in the presence of TCA (12%, wt/vol) were stained with Coomassie Blue R-250 (0.125%, wt/vol) in 20% (vol/vol) ethanol, whereas destaining was performed using 5% (vol/vol) acetic acid and 20% (vol/vol) ethanol until the background was colorless. The destained gels were scanned with a ChemiDoc XRS+ System (Bio-Rad, Hercules, CA), and densitometric analysis using ImageLab (version 3) software was performed as described elsewhere (
      • Mession J.-L.
      • Roustel S.
      • Saurel R.
      Interactions in casein micelle–pea protein system (part I): Heat-induced denaturation and aggregation.
      ). As determined from the densitogram of total migrating polypeptides with Mw lower than 200 kDa in one lane, the relative content of a polypeptide of interest (P) was correlated with its band intensity (IP; i.e., the integrated area beneath its peak ratioed to total area; Equation 1):
      %P=IPiIi.
      [1]


      Total lane intensity ratio NR/R (≤1; Rtot) was applied to estimate the relative content of migrating polypeptides under NR conditions in the running gel, considering that all polypeptides in the sample under R conditions could migrate in the running gel (Equation 2):
      Rtot=iIiNRiIiR.
      [2]


      To evidence possible proteolysis of a particular polypeptide during gelation of the mixtures by lactic bacteria, patterns under R conditions of the acidified samples A and AW in the presence of GDL were compared with their fermented counterparts F and FW, respectively. Note that the AW gel formula was analyzed in particular to compare its polypeptide composition against that of FW. According to total nitrogen determination, the same total protein amount from the freeze-dried mixed gels could be deposited in each well. Hence, change in electrophoretic patterns of the paired samples A–F and AW–FW could be attributable to proteolysis at lactic acid fermentation of the F and FW samples. Proteolysis level (≤1) of the polypeptide P (of band intensity I) was calculated according to Equation 3:
      proteolysislevel(P)=1-IPF;FWIPA;AW.
      [3]


      A proteolysis level of 0 indicates no apparent proteolysis. To ensure reliable results, the densitometric analysis of each sample was conducted on 3 repetitions of the gel electrophoresis, whereas each sample was deposited under NR and R conditions on the same gel. Given the potential bias from staining and destaining and optical settings (contrast, brightness) from one SDS-PAGE experiment to another, it was estimated via preliminary tests that the standard deviation of the average polypeptide band intensity, calculated from 3 repeated lanes of the protein sample deposited on the same gel electrophoresis, of ±20% was within the experimental error. Thus, a proteolysis level in the range of 0 to 0.2 was not considered significant to evidence proteolysis.

      In Vivo Study

      Animals and Experimental Protocols

      All facilities and procedures were approved by the institution's animal ethics committee (Comité d'Ethique en Matière d'Expérimentation Animale Auvergne; permission no. C2EA-02) and were used in accordance with the European guidelines for the care and use of laboratory animals (2010-63UE). Thirty young (1 mo old) male Wistar rats purchased from Janvier (Le Genest-St-Isle, France) were housed individually in the animal facility of the research unit (agreement no. C6334514) with free access to water and were kept under controlled conditions (12 h–12 h light–dark cycle; temperature: 20°C–22°C). All experiments were conducted to avoid animal discomfort and to minimize animal pain and distress.
      After a week of acclimatization, the rats were randomized into 3 groups (n = 10/group): (1) a group fed a diet containing fava bean and casein proteins from GDL-induced acid gel A, (2) a group fed a diet containing fava bean and casein proteins from the fermented gel F, and (3) a group fed a diet containing a protein mixture of fava bean, casein, and whey proteins from the fermented gel FW. All the diets manufactured from the freeze-dried mixed gels were isoproteic and isocaloric and were provided to rats for 21 d. The powdered diets were packaged in plastic bags and stored at 4°C.
      Weight and food consumption were measured weekly. At the end of the 21-d period, fasted (overnight) rats were killed under anesthesia. Skeletal muscles and liver were quickly removed, weighed, frozen in liquid nitrogen, and stored at −80°C until analysis.

      Body Composition

      Body composition (fat and lean masses) was measured at the beginning and end of the in vivo study (after 21 d) using an EchoMRI device (Echo Medical Systems, Houston, TX). The principle of EchoMRI is based on nuclear magnetic resonance imaging that uses the magnetic properties of atoms to determine body composition of the nonanesthetized living rat. For this measure, rats were fasted overnight with unlimited access to drinking water.

      Nitrogen Digestibility

      In the last week, rats were placed in metabolic cages for 4 d. Urine and feces were collected to determine total nitrogen content using Dumas' method (
      • Dumas A.
      Stickstoffbestimmung nach Dumas. Die Praxis des org. Chemikers. (N-determination according to Dumas).
      ) at Institut UniLaSalle (Beauvais, France). To evaluate the quality of dietary proteins, apparent and true nitrogen (N) digestibility and net protein utilization were calculated using Equations 4, 5, and 6 (
      • Proll J.
      • Petzke K.J.
      • Ezeagu I.E.
      • Metges C.C.
      Low nutritional quality of unconventional tropical crop seeds in rats.
      ):
      apparentdigestibility(%)=ingestedN-fecalNingestedN×100,
      [4]


      truedigestibility(%)=ingestedN-(fecalN-fecalendogenous N)ingestedN×100,
      [5]


      netproteinutilization(%)=ingestedN-(fecalN+urinaryN-fecalendogenous N-urinaryendogenousN)ingestedN×100.
      [6]


      Endogenous nitrogen losses originate from various sources, including saliva, bile, pancreatic secretions, sloughed-off epithelial cells, mucin, and serum albumin (
      • Nyachoti C.M.
      • de Lange C.F.M.
      • McBride B.W.
      • Schulze H.
      Significance of endogenous gut nitrogen losses in the nutrition of growing pigs: A review.
      ). Fecal and urinary endogenous nitrogen were deduced from a young rat group (n = 10) that received a nitrogen-free diet during the metabolic cage period.

      Tissue Protein Extraction and Content

      Total proteins were extracted from 50 mg of soleus, plantaris, and tibialis muscles and liver in 500 μL of SET extraction buffer (sucrose 0.25 M + EDTA 2 mM + Tris 10 mM, pH 7.4). After stirring (10 × 10 s) with a Mini-Beadbeater device (BioSpec Products, Barlesville, OK), the supernatant was transferred into a hemolysis tube and sonicated for 3 × 30 s at 70% of maximum power (Vibracell 75185, VWR International, Radnor, PA). After protein extraction, a colorimetric protein assay was performed. The standard range was made from BSA stock solution at 0.2 mg/mL deposited concurrently with the samples on a 96-well microplate. A bicinchoninic acid (BCA) working reagent consisting of reagents A, B, and C (at a volume ratio of 25:24:1) of the Micro BCA protein assay kit (Thermo Fisher Scientific, Waltham, MA) was also added. Each plate was covered with an adhesive film (VWR International) to prevent sample evaporation. Sample protein determination was estimated as BSA equivalent and measured at a wavelength of 562 nm using a microplate reader (microplate spectrophotometer, Epoch Biotek, Winooski, VT) after incubation for 1 h at 37°C without stirring. Results were given as percentage of DM for protein concentration. Total protein content in muscle and liver was expressed in milligrams of protein.

      Statistical Analyses

      Results were expressed as mean ± standard deviation and tested for significance by 1-way ANOVA using a post hoc test (protected least significant difference) set at P < 0.05. All statistical analyses were performed using Statview (version 5) software (SAS Institute Inc., Cary, NC).

      RESULTS

      Electrophoretic Patterns of Single-Protein Samples (Unheated)

      Single-Casein Micelle Suspension Stock Solution

      Casein monomers appeared as thick bands of Mw in the range of approximately 24 to 35 kDa (Figure 1a). Under R conditions, total casein monomers (αS1-, αS2-, β-, κ-, and γ-casein as considered as partially hydrolyzed β-casein) accounted for around 84.5 ± 13.7% of total proteins (Figure 1a, lane 2; Table 1). As casein monomers are glycoproteins, their migration did not depend only on their Mw, so bands were assigned according to previous data (
      • Beliciu C.M.
      • Moraru C.I.
      Physico-chemical changes in heat treated micellar casein–soy protein mixtures.
      ). Owing to SDS-PAGE under R conditions and densitometric analysis conducted on the casein micelle stock suspension, protein composition is typical of a commercial milk protein concentrate (MPC) enriched in casein micelles. According to the supplier, such raw material is usually used to enhance curd texture during cheese manufacture, displaying a low level of heat-denatured whey proteins. Indeed, it was observed that residual β-LG and low-Mw protein material, including α-LA, accounted for 1.5 and 8.8% (Table 1, R conditions) of total polypeptides, respectively. Compared with conventional cow milk (
      • Cayot P.
      • Lorient D.
      Structure et Technofonctions des Protéines du Lait.
      ), the α-LA and β-LG summed content of the casein-enriched MPC product used in this work was 5-fold lower. Based on relative contents, the total caseins/(α-LA + β-LG) polypeptide ratio is within the reported range of 5 to 9 for natural cow milk (
      • Cayot P.
      • Lorient D.
      Structure et Technofonctions des Protéines du Lait.
      ) and 33.6 ± 1.4 for the casein-enriched MPC product according to densitometric analysis (Table 1). During manufacture of MPC, a great majority of α-LA (hardly detectable at the bottom of the electrophoretic profile) and β-LG were thus eliminated. Comparing the casein stock suspension under NR and R conditions (Figure 1a), the increasing band intensity of β-LG would indicate that this was mainly coaggregated via disulfide bonds to κ-casein (
      • Cayot P.
      • Lorient D.
      Structure et Technofonctions des Protéines du Lait.
      ). Such covalent aggregation, even if limited, resulted from heat sanitization of the milk performed upon manufacture of the MPC product. Additionally, minor whey protein bands (Mw of ∼60–90 kDa) may consist of lactoferrin, IgE, and BSA as well as disulfide-bonded proteins such αS2-casein dimers (∼62 kDa; Figure 1a, lane 1). Under R conditions, the breakup of disulfide bonds released the monomers, and the minor whey protein band disappeared (Figure 1a, lane 2). Likewise, the κ-casein (∼24–25 kDa) band was evidenced below the main β-casein band, whereas it was barely detectable under NR conditions. Micellar κ-casein was mainly associated as disulfide-bonded multimers of high Mw (>500 kDa) and thus could not enter the running gel under NR conditions.
      Figure thumbnail gr1
      Figure 1Electrophoretic patterns [T = 12%, where T = total content of cross-linking monomers (acrylamide + bisacrylamide) within the electrophoresis gel] of single-protein samples: (a) casein micelle suspension, (b) whey protein, and (c) fava bean protein stock solutions. Mw = molecular weight markers; NR = nonreducing condition; R = reducing condition; mPr = minor whey proteins and αS2-CN dimers; αS1–2-, β-, κ-, and γ-CN = casein monomers; LMw-Pr = low-Mw proteins (proteose peptone, α-LA); Lαβ = main legumin subunits: Lα and Lβ = acidic and basic 1–2 polypeptides constitutive of the legumin subunits, respectively; Lox = lipoxygenases; Conv = convicilin; V1–3 = vicilin polypeptides.
      Table 1Polypeptide composition of casein and whey protein stock suspension and solution according to SDS-PAGE and densitometric analysis
      Polypeptide
      mPr = minor whey proteins and αS2-CN dimers; αS1–2-, β-, κ-, and γ-CN = casein monomers; Mw = molecular weight. Low-Mw proteins include proteose peptone and α-LA. Low-Mw proteins are proteins of molecular weight below 14 kDa, as indicated; these included proteose peptone (<10 kDa) and α-LA (14 kDa). The Mw column specifies the Mw range wherein polypeptide bands migrated according to their electrophoretic mobility.
      Mw (kDa)Relative content
      Mean ± SD calculated from densitograms of 3 repeated samples on separated lanes. NR = nonreducing; R = reducing.
      (%)
      CaseinWhey
      NRRNRR
      mPr90–6014.0 ± 0.65.2 ± 1.213.715.1 ± 0.1
      αS1-2-CN35–3240.1 ± 5.033.8 ± 5.72.21.8 ± 0.0
      β-CN28–2627.8 ± 2.423.2 ± 4.71.41.0 ± 0.1
      κ-CN25–245.1 ± 0.117.6 ± 1.5
      γ-CN22–204.6 ± 0.210.5 ± 1.8
      β-LG170.5 ± 0.21.5 ± 0.257.356.1 ± 4.0
      Low-Mw proteins14; <107.8 ± 1.08.8 ± 1.225.426 ± 3
      1 mPr = minor whey proteins and αS2-CN dimers; αS1–2-, β-, κ-, and γ-CN = casein monomers; Mw = molecular weight. Low-Mw proteins include proteose peptone and α-LA. Low-Mw proteins are proteins of molecular weight below 14 kDa, as indicated; these included proteose peptone (<10 kDa) and α-LA (14 kDa). The Mw column specifies the Mw range wherein polypeptide bands migrated according to their electrophoretic mobility.
      2 Mean ± SD calculated from densitograms of 3 repeated samples on separated lanes. NR = nonreducing; R = reducing.

      Single-Whey Protein Stock Solution

      According to electrophoretic patterns, the β-LG band predominated (∼57% of total intensity), whereas the main whey proteins (α-LA + β-LG) accounted for 82% of total polypeptides (Figure 1b, lanes 1 and 2; Table 1). Residual and soluble caseins were also detected (<5%). There was no significant difference between patterns under NR and R conditions, indicating the low denatured state (or noncovalently aggregated) of α-LA and β-LG in the starting Promilk commercial powder.

      Single Fava Bean Protein Stock Solution

      From the SDS-PAGE profile of the fava bean protein stock solution, polypeptides ranged from about 100 to about 14 kDa (Figure 1c, Table 2). Similar to other Leguminosae species, fava bean proteins mainly consist of 7S and 11S globulins (
      • Gueguen J.
      Legume seed protein extraction, processing, and end product characteristics.
      ). The polypeptide band of apparent Mw of approximately 100 kDa was identified as lipoxygenase, a lipase usually coextracted with plant globulins (
      • Eskin N.A.M.
      • Henderson H.M.
      Lipoxygenase in Vicia faba minor.
      ). Under NR conditions, most polypeptide bands were attributable to legumin subunits (Lαβ1, Lαβ2, and Lαβ3), accounting for approximately 35% of total band intensity (∼72, 55–57, and 44 kDa; Table 2), whereas Lαβ2 represented 65% of total (summed) legumin bands intensity (Figure 1c, lane 1). Fava legumin subunits are reported to be peculiarly heterogeneous (
      • Wright D.J.
      • Boulter D.
      Purification and subunit structure of legumin of Vicia faba L. (broad bean).
      ). Under R conditions, the breakup of disulfide bonds led to the dissociation of at least 2 acidic (Lα1 and Lα2; ∼46 and 36 kDa, respectively) and 2 basic (Lβ1 and Lβ2; ∼21 and 18 kDa, respectively) legumin polypeptides (Figure 1c, lane 2), whereas a nonlegumin subunit band with an Mw of approximately 56 kDa was detected at the same position as the disrupted Lαβ2 subunit. Like 11S soy glycinin and pea legumin, 11S fava bean legumins are hexamers with an Mw of approximately 300 to 370 kDa made up with Lαβ subunits with an Mw of on average 50 to 60 kDa, each stabilized by intermolecular disulfide bonds, whereas subunits are held together via noncovalent bonds. Several vicilin polypeptides (V1, V2, and V3; mainly ∼48–52, 26–28, and 15 kDa) and convicilin (11%, 66 kDa;
      • Bailey C.J.
      • Boulter D.
      The structure of vicilin of Vicia faba..
      ) were also observed. Their related bands were not found to differ under NR and R conditions, as 7S proteins are devoid of sulfur-containing AA (
      • Derbyshire E.
      • Wright D.J.
      • Boulter D.
      Legumin and vicilin, storage proteins of legume seeds.
      ).
      Table 2Polypeptide composition of fava bean protein stock solution according to SDS-PAGE and densitometric analysis
      Polypeptide
      Lox = lipoxygenases; Conv = convicilin; Lαβ = main legumin subunits; Lα and Lβ = acidic and basic 1–2 polypeptides constitutive of the legumin subunits, respectively; V1–3 = vicilin polypeptides.
      Mw
      Mw = molecular weight range wherein the polypeptide bands migrated according to their electrophoretic mobility.
      (kDa)
      Relative content
      Mean ± SD calculated from densitograms of 3 repeated samples on separated lanes. NR = nonreducing; R = reducing.
      (%)
      NRR
      Lox1004.6 ± 0.56.3 ± 0.4
      Conv6610.9 ± 0.68.9 ± 0.5
      Lαβ172
      Lαβ25533.3 ± 2.2
      The total legumin subunits content (Lαβ) was calculated from summed intensities Lαβ1 + Lαβ2 + Lαβ3, likewise for Lα (Lα1 + Lα2) and Lβ (Lβ1 + Lβ2).
      7.9 ± 1.7
      The Lαβ1–3 bands disappeared under R conditions. A nonlegumin polypeptide of Mw ~56 kDa remained.
      Lαβ344
      V152–4811.7 ± 0.512.4 ± 0.1
      Lα146
      Lα2367.2 ± 0.1
      The total legumin subunits content (Lαβ) was calculated from summed intensities Lαβ1 + Lαβ2 + Lαβ3, likewise for Lα (Lα1 + Lα2) and Lβ (Lβ1 + Lβ2).
      23.4 ± 0.1
      The total legumin subunits content (Lαβ) was calculated from summed intensities Lαβ1 + Lαβ2 + Lαβ3, likewise for Lα (Lα1 + Lα2) and Lβ (Lβ1 + Lβ2).
      V228–2616.8 ± 3.59.1 ± 0.1
      Lβ121
      Lβ2181.7 ± 0.2
      The total legumin subunits content (Lαβ) was calculated from summed intensities Lαβ1 + Lαβ2 + Lαβ3, likewise for Lα (Lα1 + Lα2) and Lβ (Lβ1 + Lβ2).
      17.8 ± 0.5
      The total legumin subunits content (Lαβ) was calculated from summed intensities Lαβ1 + Lαβ2 + Lαβ3, likewise for Lα (Lα1 + Lα2) and Lβ (Lβ1 + Lβ2).
      V315; <1014.3 ± 1.214.8 ± 0.1
      1 Lox = lipoxygenases; Conv = convicilin; Lαβ = main legumin subunits; Lα and Lβ = acidic and basic 1–2 polypeptides constitutive of the legumin subunits, respectively; V1–3 = vicilin polypeptides.
      2 Mw = molecular weight range wherein the polypeptide bands migrated according to their electrophoretic mobility.
      3 Mean ± SD calculated from densitograms of 3 repeated samples on separated lanes. NR = nonreducing; R = reducing.
      4 The total legumin subunits content (Lαβ) was calculated from summed intensities Lαβ1 + Lαβ2 + Lαβ3, likewise for Lα (Lα1 + Lα2) and Lβ (Lβ1 + Lβ2).
      5 The Lαβ1–3 bands disappeared under R conditions. A nonlegumin polypeptide of Mw ~56 kDa remained.

      Fava Bean–Dairy Protein Mixture Formulation and Chemical Composition of the Dried Mixed Gels

      The protein composition of fava bean–dairy mixtures before gelation and the chemical composition of the resulting freeze-dried gels are given in Table 3. All fava bean–dairy protein mixtures contained 2-fold higher proteins than typical dairy yogurt. All dried mixed gels could be denoted as protein concentrates (≥45% by weight). The gelation process clearly influenced the relative amounts of protein and carbohydrate. Compared with their acidified counterparts, the dried and fermented samples F and FW had lower carbohydrate content (approximately −12% by weight), whereas protein content increased comparably. Lactic bacteria metabolism thus led to a decrease of about 28% of the initial reducing sugar content (lactose) in both F and FW samples. Regardless of mixed gel formulation, the elevated salt content (>5% by weight) in all dried samples may result from the use of acid and base solutions during the fava bean protein extraction procedure.
      Table 3Formulation of the fava bean–milk protein mixtures and chemical composition of the fava bean–dairy mixed gels subsequently freeze-dried
      A = glucono-δ-lactone induced acid mixed gel; AW = glucono-δ-lactone induced acid mixed gel with whey proteins; F = fermented mixed gel; FW = fermented mixed gel with whey proteins.
      ItemAFAWFW
      Stock suspension/solutions (% protein by weight)
       Casein3.7 ± 0.23.7 ± 0.22.7 ± 0.22.7 ± 0.2
       Whey protein1.1 ± 0.11.1 ± 0.1
       Fava bean4.3 ± 0.34.3 ± 0.34.2 ± 0.24.2 ± 0.2
      Lactose powder (% by weight)5555
      Freeze-dried gels (wt% composition)
       Protein
      Results are expressed on a DM basis as mean ± SD.
      45.7 ± 2.158.0 ± 2.449.6 ± 1.161.8 ± 0.5
       Carbohydrate
      Results are expressed on a DM basis as mean ± SD.
      Calculated as wt% carbohydrate = 1 – wt% (protein + fat + ash).
      47.4 ± 334.8 ± 342 ± 2.430.4 ± 1.8
       Fat
      Results are expressed on a DM basis as mean ± SD.
      1.5 ± 0.31.0 ± 0.11.3 ± 0.30.8 ± 0.1
       Ash
      Results are expressed on a DM basis as mean ± SD.
      5.4 ± 0.66.2 ± 0.27.1 ± 1.07.0 ± 1.1
      1 A = glucono-δ-lactone induced acid mixed gel; AW = glucono-δ-lactone induced acid mixed gel with whey proteins; F = fermented mixed gel; FW = fermented mixed gel with whey proteins.
      2 Results are expressed on a DM basis as mean ± SD.
      3 Calculated as wt% carbohydrate = 1 – wt% (protein + fat + ash).

      Electrophoretic Patterns of the Dried Mixed Gels

      Figure 2 shows the electrophoretic patterns of the different dried mixed gels according to total protein composition and gelation process. A densitometric analysis was conducted to estimate difference in polypeptide composition between samples (Table 4). It should be specified that the amount of each dried sample was adjusted before analysis so that the same total protein load (50 µg/sample) was deposited in each lane to allow semiquantitative comparisons between lanes. Polypeptide bands of dried mixed gels were attributed according to their position (Mw) determined in single-protein samples (Figure 1). Bands of Mw in the range of approximately 55 to 70 and below 15 kDa were unresolved because fava bean and milk polypeptides of close Mw could overlap (called x1 and x2, respectively; Table 4).
      Figure thumbnail gr2
      Figure 2Electrophoretic patterns [T = 12%, where T = total content of cross-linking monomers (acrylamide + bisacrylamide) within the electrophoresis gel] of the fava bean–dairy mixed gels. A = glucono-δ-lactone induced acid mixed gel; AW = glucono-δ-lactone induced acid mixed gel with whey proteins; F = fermented mixed gel; FW = fermented mixed gel with whey proteins; Mw = molecular weight markers; NR = nonreducing condition; R = reducing condition; mPr = minor whey proteins and αS2-CN dimers; αS1–2-, β-, κ-, and γ-CN = casein monomers; LMw-Pr = low-Mw proteins (proteose peptone, α-LA); Lαβ = main legumin subunits: Lα and Lβ = acidic and basic 1–2 polypeptides constitutive of the legumin subunits, respectively; Lox = lipoxygenases; Conv = convicilin; V1–3 = vicilin polypeptides.
      Table 4Polypeptide composition of the freeze-dried mixed gels
      A = glucono-δ-lactone induced acid mixed gel; AW = glucono-δ-lactone induced acid mixed gel with whey proteins; F = fermented mixed gel; FW = fermented mixed gel with whey proteins.
      as determined by densitometric analysis (Figure 2)
      Polypeptide
      Lox = lipoxygenases; Conv = convicilin; Vi 1–3 = vicilin polypeptides; Lα and Lβ = acidic and basic 1–2 polypeptides constitutive of the legumin subunits, respectively; total casein = casein monomers and dimers.
      Molecular weight (kDa)A (% of total protein
      From Equation 1, calculated for samples and lanes under reducing conditions only. Results are means ± SD calculated from densitograms of 3 repeated samples on separated lanes.
      )
      F (% of total protein
      From Equation 1, calculated for samples and lanes under reducing conditions only. Results are means ± SD calculated from densitograms of 3 repeated samples on separated lanes.
      )
      Proteolysis level (F/A)AW (% of total protein
      From Equation 1, calculated for samples and lanes under reducing conditions only. Results are means ± SD calculated from densitograms of 3 repeated samples on separated lanes.
      )
      FW (% of total protein
      From Equation 1, calculated for samples and lanes under reducing conditions only. Results are means ± SD calculated from densitograms of 3 repeated samples on separated lanes.
      )
      Proteolysis level (FW/AW)
      Lox
      Bands identified as fava bean polypeptides (Figure 1c).
      1002.4 ± 0.12.0 ± 0.40.3 ± 0.12.1 ± 0.32.6 ± 0.40.2 ± 0.1
      Conv
      Bands identified as fava bean polypeptides (Figure 1c).
      668.2 ± 0.27.7 ± 0.70.0 ± 0.08.3 ± 1.57.8 ± 0.00.2 ± 0.0
      x1
      x1 = mixture of fava bean and milk polypeptides.
      70–551.9 ± 0.12.0 ± 0.10.1 ± 0.01.4 ± 0.32.0 ± 0.30.1 ± 0.0
      V1
      Bands identified as fava bean polypeptides (Figure 1c).
      52–4815.2 ± 3.014.1 ± 3.90.2 ± 0.113.6 ± 3.013.7 ± 2.00.2 ± 0.0
      Lα2
      Bands identified as fava bean polypeptides (Figure 1c).
      3612.2 ± 0.614.4 ± 0.40.1 ± 0.113.3 ± 0.715.5 ± 3.20.2 ± 0.1
      Total casein
      Bands attributed to milk polypeptides (casein and whey proteins; Figure 1a and b).
      35–2431.9 ± 0.933.0 ± 3.50.1 ± 0.126.8 ± 3.323.9 ± 1.60.3 ± 0.1
      Lβ1–2
      Bands identified as fava bean polypeptides (Figure 1c).
      21–1819.2 ± 0.421.6 ± 3.00.1 ± 0.117.5 ± 1.818.4 ± 2.00.1 ± 0.0
      β-LG
      Bands attributed to milk polypeptides (casein and whey proteins; Figure 1a and b).
      176.7 ± 0.55.2 ± 0.40.2 ± 0.012.2 ± 0.69.8 ± 0.50.1 ± 0.0
      x2
      x2 = mixture of fava bean and milk polypeptides.
      ≤156.8 ± 0.65.2 ± 1.30.6 ± 0.16.7 ± 0.75.0 ± 0.20.5 ± 0.1
      Total104.5105.2101.998.7
      Rtot
      Rtot = total lane (summed polypeptide band intensities) intensity ratio NR/R. From Equation 2, applied to total (i.e., sum) band intensities of the lane. Results are means ± SD calculated from densitograms of 3 repeated samples on separated lanes.
      0.75 ± 0.10.64 ± 0.10.74 ± 0.10.56 ± 0.0
      1 A = glucono-δ-lactone induced acid mixed gel; AW = glucono-δ-lactone induced acid mixed gel with whey proteins; F = fermented mixed gel; FW = fermented mixed gel with whey proteins.
      2 Lox = lipoxygenases; Conv = convicilin; Vi 1–3 = vicilin polypeptides; Lα and Lβ = acidic and basic 1–2 polypeptides constitutive of the legumin subunits, respectively; total casein = casein monomers and dimers.
      3 From Equation 1, calculated for samples and lanes under reducing conditions only. Results are means ± SD calculated from densitograms of 3 repeated samples on separated lanes.
      4 Bands identified as fava bean polypeptides (Figure 1c).
      5 x1 = mixture of fava bean and milk polypeptides.
      6 Bands attributed to milk polypeptides (casein and whey proteins; Figure 1a and b).
      7 x2 = mixture of fava bean and milk polypeptides.
      8 Rtot = total lane (summed polypeptide band intensities) intensity ratio NR/R. From Equation 2, applied to total (i.e., sum) band intensities of the lane. Results are means ± SD calculated from densitograms of 3 repeated samples on separated lanes.
      All samples underwent the same heating procedure (85°C, 30 min) before gelation. Lanes of the same preheated sample under NR and R conditions before gelation were compared with evidence polypeptides involved in covalent aggregation (i.e., where new interprotein disulfide bridges are established between heat-denatured proteins containing sulfur AA). Change in protein interaction due to heat denaturation was investigated for the fava bean–casein mixed protein gels in the absence (A, F) or presence (AW, FW) of whey protein.

      Effect of Heat Treatment on Polypeptide Composition

      Under NR conditions, high-Mw covalent aggregates (>200 kDa) were evidenced by a thick band of low resolution entrapped in the stacking gel (Figure 2, lanes 1–4). There was an absence of legumin subunit bands Lαβ1 and Lαβ3 (∼72 and 44 kDa, respectively) compared with the unheated fava bean protein stock solution (Figure 1c, lane 3). According to total lane intensity ratio NR/R calculations (Equation 2), values lower than 1 were indicative of nonmigrating polypeptides (>200 kDa) due to thermal aggregation that involved disulfide bonds (Table 4). These were disrupted under R conditions, releasing several migrating polypeptides, such as Lα2 (∼36 kDa), Lβ1 (21 kDa), and Lβ2 (18 kDa; Figure 2, lanes 5–8). The β-LG band (17 kDa) was also absent under NR but detectable under R conditions, noticeably for both AW and FW samples. Under R conditions, densitometric analysis showed that the relative amount of β-LG monomers was about 2-fold higher in both AW and FW mixed gels than in A and F (Table 4).

      Effect of Gelation Procedure on Polypeptide Composition

      The electrophoretic patterns of the GDL-induced acid mixed gels (A and AW) compared with their fermented counterparts (F and FW) showed no differences in the relative amount of each identified polypeptide (Table 4). Hence, based on these results, there was no noticeable effect of lactic acid fermentation on protein composition due to proteolysis compared with GDL-induced acidification. The band intensity (IP) of a particular polypeptide (P) within the electrophoretic pattern of the GDL-induced acid mixed gels (A and AW samples) was checked as higher or equal to its counterpart detectable in the fermented mixed gels (F and FW samples, respectively). Given the accuracy of the comparative densitometric analysis conducted between lanes, the calculated proteolysis level (Equation 3) for a great majority of the polypeptide bands remained within the experimental error and consequently did not show any marked band fading (i.e., decrease in intensity) by proteolysis. There was a slight effect on lipoxygenase (100 kDa) and x2 polypeptides (a mixture of fava bean and milk minor polypeptides; Mw ≤15 kDa), for which the level of proteolysis was above the experimental error limit, though these accounted for less than approximately 10% of total polypeptides.

      AA Composition of Dried Mixed Gels

      The AA composition of the dried mixed gels A, F, and FW incorporated into in vivo study diets is given in Table 5. The addition of whey protein in the FW formula resulted in an increase in branched-chain AA content. As valine and isoleucine contents in FW formula were in the same range as F and A formulas, increased branched AA content was explained by 10% higher content in leucine compared with A and F formulas. Moreover, the FW formula was also 14% richer in sulfur AA content due to the presence of β-LG, as it is rich in sulfur AA and represents 57% of whey proteins. More precisely, cysteine was 1.4-fold higher in FW formula compared with F and A formulas. Moreover, tryptophan content was 18 and 28% higher in FW than in F and A formulas, respectively. However, aromatic acid content (i.e., phenylalanine and tyrosine) was lower in the FW formula than in the F and A formulas (82 vs. 87 and 92 mg/g protein, respectively). The F and A formulas contained a higher quantity of histidine (+10%) than the FW formula.
      Table 5Composition of the rat diets
      A = glucono-δ-lactone induced acid mixed gel; F = fermented mixed gel; FW = fermented mixed gel with whey proteins.
      Item (% by weight unless noted)AFFW
      Protein13.813.813.7
      Carbohydrate64.362.663.6
      Lipids6.06.06.0
      Minerals5.15.15.1
      Vitamins
      Vitamins added to diets.
      111
      Energy (kcal/100 g)366.7360.3363.3
      AA (mg/g of protein)
       NEAA569.0578.4568.1
       EAA430.9421.6431.9
       Histidine26.325.523.5
       Isoleucine37.736.036.9
       Leucine84.686.694.1
       Lysine69.467.869.5
       Cysteine7.27.010.2
       Methionine20.519.520.7
       Tyrosine42.140.637.9
       Phenylalanine49.546.443.8
       Threonine39.338.139.5
       Tryptophan9.710.612.5
       Valine44.543.443.4
       BCAA
      Branched-chain AA = isoleucine + leucine + valine.
      166.8166.0174.3
       Sulfur AA
      Sulfur AA = cysteine + methionine.
      27.726.530.8
       Aromatic AA
      Aromatic AA = tyrosine + phenylalanine.
      91.687.081.7
      1 A = glucono-δ-lactone induced acid mixed gel; F = fermented mixed gel; FW = fermented mixed gel with whey proteins.
      2 Vitamins added to diets.
      3 Branched-chain AA = isoleucine + leucine + valine.
      4 Sulfur AA = cysteine + methionine.
      5 Aromatic AA = tyrosine + phenylalanine.

      pH Profiles During Gelation

      Kinetics of acidification at 42°C of the protein mixtures upon gelation were followed (Figure 3). As an example, change in pH was measured for the A and F fava bean–casein protein mixtures that underwent acidification in the presence of GDL and lactic acid bacteria, respectively. Differences in pH decrease between the 2 gelled samples were noted. In the presence of GDL, the pH of mixture A decreased rapidly after 2 h to a value of approximately 4.5, within the pH range of minimum solubility for fava bean proteins and the reported isoelectric point of casein proteins. In the case of mixture F, at lactic acid fermentation, pH decreased very slowly from approximately 6.7 to 6.5 after 1 h 30 min then to approximately 4.5 after 4 h of incubation. At a given incubation temperature, the hydrolysis of GDL that released protons in the medium was readily initiated when powder was dissolved. In contrast, fermentation-induced acidification was slower than GDL-induced acidification, possibly due to metabolic activation that converted lactose into lactic acid and to concomitant bacterial growth.
      Figure thumbnail gr3
      Figure 3Kinetics of acidification at 42°C during gelation of the fava bean–milk protein mixtures. A = glucono-δ-lactone induced acidification; F = lactic acid fermentation.

      In Vivo Study

      The effect of different protein formulations (effect of whey protein addition) and gelation processes (GDL-induced acidification or lactic acid fermentation) on growth and protein retention in young rats was evaluated. See Table 6, Table 7 for in vivo data.
      Table 6Body weight, food intake, protein efficiency, fat-free mass gain, nitrogen intake, excretion and balance, digestibility, and protein utilization in rats fed fava bean–dairy mixed gels for 21 d
      A = glucono-δ-lactone induced acid mixed gel; F = fermented mixed gel; FW = fermented mixed gel with whey proteins. Results are means ± SD measured for 10 rats for each group.
      ItemAFFW
      Final BW (g)284 ± 22
      Means within a row with different superscripts are significantly different (P < 0.05).
      324 ± 24
      Means within a row with different superscripts are significantly different (P < 0.05).
      339 ± 31
      Means within a row with different superscripts are significantly different (P < 0.05).
      Food intake (g/d)32.6 ± 5.7
      Means within a row with different superscripts are significantly different (P < 0.05).
      28.2 ± 4.1
      Means within a row with different superscripts are significantly different (P < 0.05).
      30.9 ± 1.4
      Means within a row with different superscripts are significantly different (P < 0.05).
      Growth rate (g/d)5.4 ± 0.8
      Means within a row with different superscripts are significantly different (P < 0.05).
      7.3 ± 0.7
      Means within a row with different superscripts are significantly different (P < 0.05).
      8.1 ± 1.2
      Means within a row with different superscripts are significantly different (P < 0.05).
      Protein efficiency ratio1.2 ± 0.3
      Means within a row with different superscripts are significantly different (P < 0.05).
      1.9 ± 0.4
      Means within a row with different superscripts are significantly different (P < 0.05).
      1.9 ± 0.2
      Means within a row with different superscripts are significantly different (P < 0.05).
      Fat-free mass (g)241 ± 17
      Means within a row with different superscripts are significantly different (P < 0.05).
      266 ± 17
      Means within a row with different superscripts are significantly different (P < 0.05).
      272 ± 21
      Means within a row with different superscripts are significantly different (P < 0.05).
      Fat-free mass gain (%)66 ± 10
      Means within a row with different superscripts are significantly different (P < 0.05).
      83 ± 8
      Means within a row with different superscripts are significantly different (P < 0.05).
      88 ± 13
      Means within a row with different superscripts are significantly different (P < 0.05).
      Nitrogen intake
      Measured in metabolic cages.
      (g)
      1.67 ± 0.131.67 ± 0.221.75 ± 0.10
      Fecal nitrogen (g)0.27 ± 0.06
      Means within a row with different superscripts are significantly different (P < 0.05).
      0.16 ± 0.04
      Means within a row with different superscripts are significantly different (P < 0.05).
      0.15 ± 0.02
      Means within a row with different superscripts are significantly different (P < 0.05).
      Urinary nitrogen (g)0.81 ± 0.02
      Means within a row with different superscripts are significantly different (P < 0.05).
      0.75 ± 0.02
      Means within a row with different superscripts are significantly different (P < 0.05).
      0.71 ± 0.02
      Means within a row with different superscripts are significantly different (P < 0.05).
      Nitrogen balance (g)0.59 ± 0.12
      Means within a row with different superscripts are significantly different (P < 0.05).
      0.76 ± 0.19
      Means within a row with different superscripts are significantly different (P < 0.05).
      0.89 ± 0.10
      Means within a row with different superscripts are significantly different (P < 0.05).
      Apparent digestibility (%)84.0 ± 3.3
      Means within a row with different superscripts are significantly different (P < 0.05).
      90.3 ± 1.5
      Means within a row with different superscripts are significantly different (P < 0.05).
      91.1 ± 1.5
      Means within a row with different superscripts are significantly different (P < 0.05).
      True digestibility (%)89.9 ± 3.3
      Means within a row with different superscripts are significantly different (P < 0.05).
      96.2 ± 1.9
      Means within a row with different superscripts are significantly different (P < 0.05).
      96.7 ± 1.3
      Means within a row with different superscripts are significantly different (P < 0.05).
      Net protein utilization (%)52.7 ± 4.1
      Means within a row with different superscripts are significantly different (P < 0.05).
      62.8 ± 3.7
      Means within a row with different superscripts are significantly different (P < 0.05).
      67.4 ± 2.2
      Means within a row with different superscripts are significantly different (P < 0.05).
      a–c Means within a row with different superscripts are significantly different (P < 0.05).
      1 A = glucono-δ-lactone induced acid mixed gel; F = fermented mixed gel; FW = fermented mixed gel with whey proteins. Results are means ± SD measured for 10 rats for each group.
      2 Measured in metabolic cages.
      Table 7Tissue weight and total protein content in rats fed fava bean–dairy mixed gels for 21 d
      A = glucono-δ-lactone induced acid mixed gel; F = fermented mixed gel; FW = fermented mixed gel with whey proteins. Results are means ± SD measured for 10 rats for each group.
      ItemAFFW
      Total muscle mass (g)0.88 ± 0.07
      Means within a row with different superscripts are significantly different (P < 0.05).
      0.96 ± 0.07
      Means within a row with different superscripts are significantly different (P < 0.05).
      0.99 ± 0.08
      Means within a row with different superscripts are significantly different (P < 0.05).
      Total protein content (mg)140.0 ± 13.6
      Means within a row with different superscripts are significantly different (P < 0.05).
      161.0 ± 14.8
      Means within a row with different superscripts are significantly different (P < 0.05).
      155.1 ± 12.8
      Means within a row with different superscripts are significantly different (P < 0.05).
      Soleus mass (mg)141 ± 20144 ± 9149 ± 15
       Protein concentration (% of DM)57.0 ± 4.958.7 ± 6.155.8 ± 7.8
       Total protein content (mg)20.5 ± 3.622.2 ± 2.122.4 ± 4.5
      Plantaris mass (mg)268 ± 29
      Means within a row with different superscripts are significantly different (P < 0.05).
      289 ± 35
      Means within a row with different superscripts are significantly different (P < 0.05).
      304 ± 30
      Means within a row with different superscripts are significantly different (P < 0.05).
       Protein concentration (% of DM)69.5 ± 7.9
      Means within a row with different superscripts are significantly different (P < 0.05).
      76.7 ± 5.1
      Means within a row with different superscripts are significantly different (P < 0.05).
      66.0 ± 5.3
      Means within a row with different superscripts are significantly different (P < 0.05).
       Total protein content (mg)46.3 ± 7.6
      Means within a row with different superscripts are significantly different (P < 0.05).
      55.1 ± 6.3
      Means within a row with different superscripts are significantly different (P < 0.05).
      50.4 ± 6.1
      Means within a row with different superscripts are significantly different (P < 0.05).
      Tibialis mass (mg)474 ± 34
      Means within a row with different superscripts are significantly different (P < 0.05).
      526 ± 39
      Means within a row with different superscripts are significantly different (P < 0.05).
      546 ± 43
      Means within a row with different superscripts are significantly different (P < 0.05).
       Protein concentration (% of DM)62.1 ± 6.463.2 ± 4.960.0 ± 7.0
       Total protein content (mg)73.2 ± 7.5
      Means within a row with different superscripts are significantly different (P < 0.05).
      83.7 ± 9.0
      Means within a row with different superscripts are significantly different (P < 0.05).
      82.2 ± 10.3
      Means within a row with different superscripts are significantly different (P < 0.05).
      Liver mass (g)9.7 ± 0.910.1 ± 1.110.6 ± 1.6
       Protein concentration (% of DM)59.5 ± 8.460.1 ± 4.560.4 ± 5.1
       Total protein content (mg)1,884 ± 2071,892 ± 2402,099 ± 401
      a,b Means within a row with different superscripts are significantly different (P < 0.05).
      1 A = glucono-δ-lactone induced acid mixed gel; F = fermented mixed gel; FW = fermented mixed gel with whey proteins. Results are means ± SD measured for 10 rats for each group.

      Growth Parameters and Body Composition of Rats

      Final BW were 14% (P = 0.002) and 19% higher (P < 0.001) in rat groups fed F and FW diets, respectively, than the A group (Table 6). Protein efficiency ratio, which represents the contribution of protein diet in rat growth, was about 1.6-fold higher in rats receiving the F and FW diets than in those receiving the A diet (P < 0.001). Growth rate was 35 and 50% higher for rats fed the F and FW diets, respectively, than for those fed the A diet (P < 0.001). However, food intake content was significantly higher in the A group than in the F group (P = 0.03). Furthermore, fat-free mass gain was 26% (P = 0.001) and 33% (P < 0.001) higher in rats receiving the F and FW diets, respectively, than in those receiving the A diet.

      Evaluation of Protein Quality by Nitrogen Balance in Rats

      The nutritional parameters measured served to evaluate the quality of dietary proteins (Table 6). Nitrogen intake was unchanged between groups (P = 0.50). Fecal nitrogen was about 1.7-fold higher for the A group than that for both the F and FW groups (P < 0.001). Urinary nitrogen was 8% (P < 0.001) and 14% (P < 0.001) higher for the A group than for the F and FW groups, respectively. As a result, nitrogen balance, which is the difference between nitrogen intake and nitrogen loss by both fecal and urinary routes, was increased for F and FW groups compared with the A group. Apparent digestibility and true digestibility values were about 7% higher (P < 0.001) for the F and FW groups than for the A group. Finally, the fermented gel FW containing whey protein resulted in improved net protein utilization, which is indicative of increased protein retention. Net protein utilization was 7% (P = 0.01) higher for the FW group than for the F group and 28% (P < 0.001) higher than for the A group.

      Tissue Weight and Protein Content

      Muscle and liver weights and their protein contents are given in Table 7. Total muscle weight was 13% (P = 0.002) and 9% (P = 0.04) higher for the groups fed the FW and F diets than the A group, respectively. Total muscle protein content was 11% (P = 0.02) and 15% (P = 0.003) higher for the FW and F groups, respectively, than for the A group. The increase in muscle weight could thus be due to the increase in protein content. Soleus weight (P = 0.56) and related protein content (P = 0.48) remained unchanged. Plantaris muscle weight was 13% higher in the FW group than the A group (P = 0.02). Tibialis muscle weight was 15% (P < 0.001) and 11% (P = 0.009) higher for the FW and F groups than for the A group, respectively. Plantaris muscle protein content was slightly higher (+9%, P = 0.19) in the FW group and significantly higher (+19%, P = 0.009) in the F group than the A group. Tibialis muscle protein content was 12% (P = 0.04) and 14% (P = 0.02) higher in the FW and F diet groups, respectively, than in the A group. There were no significant differences between groups in liver weight (P = 0.31) and protein content (P = 0.22).

      DISCUSSION

      Dairy gels were enriched with fava bean proteins from 4% by weight of total protein in typical dairy yogurt (
      • Favier J.C.
      Composition du yaourt.
      ) to 8% by weight for the mixed gels designed here. Fava bean (Vicia faba L.) proteins were selected for this study because this legume is extensively cultivated in different parts of the world (
      • Liene S.
      • Sandra M.-B.
      The characteristics of extruded faba beans (Vicia faba L.).
      ). In addition, fava bean is known to have a low beany flavor when added to some cereal-enriched foods and did not decrease their overall sensory acceptability (
      • Rizzello C.G.
      • Verni M.
      • Koivula H.
      • Montemurro M.
      • Seppa L.
      • Kemell M.
      • Katina K.
      • Coda R.
      • Gobbetti M.
      Influence of fermented faba bean flour on the nutritional, technological and sensory quality of fortified pasta.
      ).
      Fava bean–dairy mixed gels were obtained from preheated fava bean–milk protein mixtures and then acidified either with added GDL (A) or by lactic acid fermentation. Indeed, this study aimed to evaluate the effect of gel processes (GDL-induced acidification or lactic acid fermentation) and formulation (effect of whey protein addition) on protein aggregation in these mixed gels and its repercussions on in vivo nutritional parameters in young rats.
      The preheating step (85°C, 30 min) of fava bean–milk protein mixtures performed before gelation formed high-Mw protein aggregates involving disulfide linkages and hydrophobic interactions; the latter ones could not be evidenced by SDS-PAGE. Previous investigations on similar heated plant–milk protein mixtures found that denatured plant globulins were more likely to self-aggregate rather than produce coaggregates involving milk proteins (
      • Beliciu C.M.
      • Moraru C.I.
      Physico-chemical changes in heat treated micellar casein–soy protein mixtures.
      ;
      • Mession J.-L.
      • Roustel S.
      • Saurel R.
      Interactions in casein micelle–pea protein system (part I): Heat-induced denaturation and aggregation.
      ). Here, protein thermal aggregation mainly involved the fava bean legumin polypeptides Lα2 and Lβ1–2 for all mixtures, as evidenced by SDS-PAGE. According to
      • Zheng B.-A.
      • Matsumura Y.
      • Mori T.
      Thermal gelation mechanism of legumin from broad beans.
      ,
      • Zheng B.-A.
      • Matsumura Y.
      • Mori T.
      Molecular forces in thermal association-dissociation and gelation of legumin from broad beans.
      ), the fava bean legumin subunits thermally denatured and unfolded their globular structure, thus increasing the exposure of previously buried reactive groups. This resulted in protein interactions via concomitant hydrophobic interactions and disulfide bonding; the soluble large protein aggregates exhibited cold-set gelation properties upon further acidification. As shown by SDS-PAGE, the β-LG brought by whey protein stock solution in the FW mixture unfolded upon heating and covalently aggregated by sulfhydryl–disulfide bond exchanges involving κ-casein (
      • Cayot P.
      • Lorient D.
      Structure et Technofonctions des Protéines du Lait.
      ;
      • Donato L.
      • Guyomarc'h F.
      Formation and properties of the whey protein/kappa-casein complexes in heated skim milk—A review.
      ). However, the present results did not evidence any interactions between the denatured legumin and β-LG molecules via disulfide bonds.
      Concerning effects of gelation processes (i.e., GDL-induced acidification and lactic acid fermentation), we found no difference between the electrophoretic patterns of A–F and AW–FW mixed gels and thus no significant proteolysis in the fermented mixed gels. These results are in agreement with a previous study that focused on soymilk gelled products using comparable gelation routes (
      • Grygorczyk A.
      A novel approach to structure generation for texture improvement in a soymilk-dairy gel.
      ). However, this differed from data reported by
      • Li Q.
      • Xia Y.
      • Zhou L.
      • Xie J.
      Evaluation of the rheological, textural, microstructural and sensory properties of soy cheese spreads.
      , who found differences in patterns of soy cheese spread samples produced by GDL-induced acidification versus lactic acid fermentation, where 2 distinct bands at approximately 100 kDa were present in patterns of the GDL-induced acid products but absent in the patterns of fermented products. Note that peptides or polypeptide fragments of Mw lower than 10 kDa, which could not be detected with the present SDS-PAGE protocol, may nevertheless have formed.
      Interestingly, there was an effect of gelation process on the kinetics of acidification. Acidification in the presence of GDL started rapidly, whereas pH started to decrease markedly with lactic acid bacteria from 90 min of incubation at 42°C. This may be due to the effect of rapid hydrolysis of GDL to gluconic acid at 42°C responsible for gel acidification (
      • Lucey J.A.
      • Tamehana M.
      • Singh H.
      • Munro P.A.
      A comparison of the formation, rheological properties and microstructure of acid skim milk gels made with a bacterial culture or glucono-δ-lactone.
      ). This finding is consistent with the results of previous studies (
      • Amice-Quemeneur N.
      • Haluk J.-P.
      • Hardy J.
      • Kravtchenko T.P.
      Influence of the acidification process on the colloidal stability of acidic milk drinks prepared from reconstituted nonfat dry milk.
      ;
      • Lucey J.A.
      • Tamehana M.
      • Singh H.
      • Munro P.A.
      A comparison of the formation, rheological properties and microstructure of acid skim milk gels made with a bacterial culture or glucono-δ-lactone.
      ;
      • Azim Z.
      • Corredig M.
      • Koxholt M.
      • Alexander M.
      Sol gel transitions during acid gelation of milk containing modified waxy maize starch. Differences between chemical and bacterial acidification measured using rheological and spectroscopic techniques.
      ). In the case of single milk,
      • Lucey J.A.
      • Tamehana M.
      • Singh H.
      • Munro P.A.
      A comparison of the formation, rheological properties and microstructure of acid skim milk gels made with a bacterial culture or glucono-δ-lactone.
      reported that the different acidification rate in the presence of either GDL or lactic acid bacteria could influence the aggregation rate and rearrangement time of protein molecules involved in the gelled network. Using confocal scanning laser microscopy, they demonstrated that fermented dairy gel at 42°C (the temperature used in our study) appeared to have a more clustered type of network than the GDL-induced acid gel. Another study found no difference in final microstructure of soymilk gels produced by fermentation compared with GDL-induced acidification despite a difference in acidification rate during gelation at 40°C (
      • Grygorczyk A.
      A novel approach to structure generation for texture improvement in a soymilk-dairy gel.
      ).
      Gelation process had an effect on nutrition parameters measured in young rats fed the different formulas of dried mixed gels, as the use of lactic bacteria for gelation of fava bean–casein protein mixtures with (FW) or without (F) whey protein enhanced true protein digestibility (+7%) and retention (+19% and +28% for the F and FW diets, respectively), protein efficiency ratio (+58%), and growth rate (+35% and +50% for the F and FW diets, respectively) compared with the A diet.
      These differences could not be attributed to the protein stock solutions or suspension preparation because GDL-induced acid gel A and fermented gel F were produced using the same formulation (i.e., using the same casein-to-fava bean protein weight ratio of 1:1.3). It is well known from the literature that fermentation enhances the in vitro and in vivo protein digestibility of legume and dairy products (
      • Lee H.
      • Friend B.A.
      • Shahani K.M.
      Factors affecting the protein quality of yogurt and acidophilus milk.
      ;
      • Torres A.
      • Frias J.
      • Granito M.
      • Vidal-Valverde C.
      Fermented pigeon pea (Cajanus cajan) ingredients in pasta products.
      ;
      • Coda R.
      • Melama L.
      • Rizzello C.G.
      • Curiel J.A.
      • Sibakov J.
      • Holopainen U.
      • Pulkkinen M.
      • Sozer N.
      Effect of air classification and fermentation by Lactobacillus plantarum VTT E-133328 on faba bean (Vicia faba L.) flour nutritional properties.
      ;
      • Chandra-Hioe M.V.
      • Wong C.H.M.
      • Arcot J.
      The potential use of fermented chickpea and faba bean flour as food ingredients.
      ).
      • Coda R.
      • Melama L.
      • Rizzello C.G.
      • Curiel J.A.
      • Sibakov J.
      • Holopainen U.
      • Pulkkinen M.
      • Sozer N.
      Effect of air classification and fermentation by Lactobacillus plantarum VTT E-133328 on faba bean (Vicia faba L.) flour nutritional properties.
      and
      • Chandra-Hioe M.V.
      • Wong C.H.M.
      • Arcot J.
      The potential use of fermented chickpea and faba bean flour as food ingredients.
      reported increased in vitro protein digestibility of fermented fava bean flour (Vicia faba) by 2% and fermented desi (Cicer arietinum) by 9.5% compared with the raw products.
      • Lee H.
      • Friend B.A.
      • Shahani K.M.
      Factors affecting the protein quality of yogurt and acidophilus milk.
      and
      • Torres A.
      • Frias J.
      • Granito M.
      • Vidal-Valverde C.
      Fermented pigeon pea (Cajanus cajan) ingredients in pasta products.
      also obtained a significantly higher in vivo protein digestibility in fermented yogurt (+2%) and fermented legume-enriched pasta (+6%), respectively, than in the nonfermented products. We suggest that a residual proteolytic activity of bacteria could be maintained during the in vivo digestive process that could be partially responsible for the improved digestibility of fermented gels compared with GDL-induced acid gel. Indeed,
      • Mater D.D.G.
      • Bretigny L.
      • Firmesse O.
      • Flores M.-J.
      • Mogenet A.
      • Bresson J.-L.
      • Corthier G.
      Streptococcus thermophilus and Lactobacillus delbrueckii ssp. bulgaricus survive gastrointestinal transit of healthy volunteers consuming yogurt.
      reported that Streptococcus thermophilus and Lactobacillus delbrueckii ssp. bulgaricus can survive gastrointestinal transit and exert a probiotic effect. Furthermore, according to
      • Ghosh K.
      • Ray A.K.
      Aquafeed formulation using plant feedstuffs: Prospective application of fish-gut microorganisms and microbial biotechnology.
      , probiotic organisms could improve food digestibility via administration of exogenous enzymes. Moreover,
      • Di Cagno R.
      • De Angelis M.
      • Lavermicocca P.
      • de Vincenzi M.
      • Giovannini C.
      • Faccia M.
      • Gobbetti M.
      Proteolysis by sourdough lactic acid bacteria: Effects on wheat flour protein fractions and gliadin peptides involved in human cereal intolerance.
      and
      • Coda R.
      • Melama L.
      • Rizzello C.G.
      • Curiel J.A.
      • Sibakov J.
      • Holopainen U.
      • Pulkkinen M.
      • Sozer N.
      Effect of air classification and fermentation by Lactobacillus plantarum VTT E-133328 on faba bean (Vicia faba L.) flour nutritional properties.
      previously reported that formation of free AA increased in fermented wheat dough and fava bean flour compared with chemically acidified wheat dough and unfermented fava bean flour. Fermentation, via proteolytic activity of lactic bacteria, could promote the formation of free AA and low-molecular-weight peptides that could not be detected with the SDS-PAGE analysis used here. Protein digestibility may be affected either by level of aggregation and clustering within the gelled network structure or by change in protein structure due to proteolysis phenomena. Given the previous reports discussed above, the higher observable digestibility of proteins in fermented gel formulas F and FW may be more likely attributable to proteolysis giving rise to the release of small peptides and free AA that are readily absorbable by rats fed fermented gels.
      The better net protein utilization measured for young rats fed fermented mixed gels F and FW is in agreement with
      • Aliya S.
      • Geervani P.
      An assessment of the protein quality and vitamin B content of commonly used fermented products of legumes and millets.
      , who reported that rats fed fermented legume products Bengal gram dhokla (from Cicer arietinum) showed 12% higher net protein utilization than rats fed the nonfermented product. Here, lactic acid fermentation of fava bean–casein mixed protein gels resulted in better growth rate (+35%) and protein efficiency ratio (about 1.6-fold higher) than the chemically acidified mixed gels.
      • Rizzello C.G.
      • Verni M.
      • Koivula H.
      • Montemurro M.
      • Seppa L.
      • Kemell M.
      • Katina K.
      • Coda R.
      • Gobbetti M.
      Influence of fermented faba bean flour on the nutritional, technological and sensory quality of fortified pasta.
      showed that pasta products enriched with fermented fava bean flour were characterized by a greater protein efficiency ratio (+10%), calculated using the model evidenced by
      • Ihekoronye A.I.
      A rapid enzymatic and chromatographic predictive model for the in vivo rat-based protein efficiency ratio.
      , compared with the nonfermented pasta.
      • Lee H.
      • Friend B.A.
      • Shahani K.M.
      Factors affecting the protein quality of yogurt and acidophilus milk.
      reported that cultured yogurt produced by fermentation led to a significantly higher growth response (+15%) and computed protein efficiency ratio (+9%) based on AA profile and in vivo digestibility than that evidenced with its acidified counterpart.
      Here we found enhanced protein efficiency and protein retention in young rats fed the fermented fava bean–casein mixed protein gels containing or not containing whey protein compared with GDL-induced acid mixed gel, which resulted in an increase in muscle mass (+9%) and muscle protein content (+15%).
      The improved protein digestibility of fermented gels could increase the release of free AA. In addition, low-molecular-weight peptides and readily available free AA, especially essential AA, may have formed during fermentation (
      • Di Cagno R.
      • De Angelis M.
      • Lavermicocca P.
      • de Vincenzi M.
      • Giovannini C.
      • Faccia M.
      • Gobbetti M.
      Proteolysis by sourdough lactic acid bacteria: Effects on wheat flour protein fractions and gliadin peptides involved in human cereal intolerance.
      ;
      • Kopf-Bolanz K.A.
      • Schwander F.
      • Gijs M.
      • Vergères G.
      • Portmann R.
      • Egger L.
      Impact of milk processing on the generation of peptides during digestion.
      ;
      • Coda R.
      • Melama L.
      • Rizzello C.G.
      • Curiel J.A.
      • Sibakov J.
      • Holopainen U.
      • Pulkkinen M.
      • Sozer N.
      Effect of air classification and fermentation by Lactobacillus plantarum VTT E-133328 on faba bean (Vicia faba L.) flour nutritional properties.
      ). Though not detected in the electrophoretic patterns of the dried mixed protein gels, the contribution of protein proteolysis at lactic acid fermentation could enhance both the protein efficiency and protein retention of fermented gels. This would consequently contribute to the gain in muscle mass and muscle protein content for young rats fed the fermented mixed gels in the presence or absence of whey proteins compared with GDL-induced acid mixed gel.
      Concerning the influence of formulation, the addition of whey protein to fermented mixed gel led to higher protein retention (+7%) than fermented gel without whey protein in young rats. Some studies have established the concept of “slow” proteins (e.g., casein) and “fast” proteins (e.g., whey) depending on protein digestion rate and AA absorption in the intestine (
      • Boirie Y.
      • Dangin M.
      • Gachon P.
      • Vasson M.P.
      • Maubois J.L.
      • Beaufrère B.
      Slow and fast dietary proteins differently modulate postprandial protein accretion.
      ;
      • Dangin M.
      • Boirie Y.
      • Garcia-Rodenas C.
      • Gachon P.
      • Fauquant J.
      • Callier P.
      • Ballèvre O.
      • Beaufrère B.
      The digestion rate of protein is an independent regulating factor of postprandial protein retention.
      ,
      • Dangin M.
      • Boirie Y.
      • Guillet C.
      • Beaufrère B.
      Influence of the protein digestion rate on protein turnover in young and elderly subjects.
      ,
      • Dangin M.
      • Guillet C.
      • Garcia-Rodenas C.
      • Gachon P.
      • Bouteloup-Demange C.
      • Reiffers-Magnani K.
      • Fauquant J.
      • Ballèvre O.
      • Beaufrère B.
      The rate of protein digestion affects protein gain differently during aging in humans.
      ). The whey proteins, which are highly soluble in acidic conditions, could transit rapidly through the stomach and subsequently become hydrolyzed in the duodenum, inducing rapid and significant AA absorption. In contrast, in the presence of stomach acidity, caseins coagulate and induce a slow and prolonged absorption of AA over a longer period (
      • Boirie Y.
      • Dangin M.
      • Gachon P.
      • Vasson M.P.
      • Maubois J.L.
      • Beaufrère B.
      Slow and fast dietary proteins differently modulate postprandial protein accretion.
      ).
      • Dangin M.
      • Guillet C.
      • Garcia-Rodenas C.
      • Gachon P.
      • Bouteloup-Demange C.
      • Reiffers-Magnani K.
      • Fauquant J.
      • Ballèvre O.
      • Beaufrère B.
      The rate of protein digestion affects protein gain differently during aging in humans.
      showed that protein gain was higher after ingestion of a meal containing only whey proteins compared with caseins. The same effect was reported in a study on enzymatically hydrolyzed dairy proteins (
      • Koopman R.
      • Crombach N.
      • Gijsen A.P.
      • Walrand S.
      • Fauquant J.
      • Kies A.K.
      • Lemosquet S.
      • Saris W.H.M.
      • Boirie Y.
      • van Loon L.J.C.
      Ingestion of a protein hydrolysate is accompanied by an accelerated in vivo digestion and absorption rate when compared with its intact protein.
      ), where in vivo digestion and absorption rates were increased after ingestion of a protein hydrolysate compared with its nonhydrolyzed counterpart, leading to a better body protein retention rate. Note that fermented gel with whey protein was 10% richer in leucine than in A and F gels without whey protein. Previous studies showed that leucine supplementation is able to stimulate muscle protein synthesis in young (
      • Anthony J.C.
      • Anthony T.G.
      • Layman D.K.
      Leucine supplementation enhances skeletal muscle recovery in rats following exercise.
      ) and old (
      • Dardevet D.
      • Sornet C.
      • Bayle G.
      • Prugnaud J.
      • Pouyet C.
      • Grizard J.
      Postprandial stimulation of muscle protein synthesis in old rats can be restored by a leucine-supplemented meal.
      ;
      • Rieu I.
      • Sornet C.
      • Bayle G.
      • Prugnaud J.
      • Pouyet C.
      • Balage M.
      • Papet I.
      • Grizard J.
      • Dardevet D.
      Leucine-supplemented meal feeding for ten days beneficially affects postprandial muscle protein synthesis in old rats.
      ) rats and in elderly men (
      • Wall B.T.
      • Hamer H.M.
      • de Lange A.
      • Kiskini A.
      • Groen B.B.L.
      • Senden J.M.G.
      • Gijsen A.P.
      • Verdijk L.B.
      • van Loon L.J.C.
      Leucine co-ingestion improves post-prandial muscle protein accretion in elderly men.
      ). Moreover,
      • Gryson C.
      • Walrand S.
      • Giraudet C.
      • Rousset P.
      • Migné C.
      • Bonhomme C.
      • Le Ruyet P.
      • Boirie Y.
      “Fast proteins” with a unique essential amino acid content as an optimal nutrition in the elderly: Growing evidence.
      suggested that fast-digested protein, such as whey proteins, could induce a high leucine availability and improve postprandial protein retention in older men. Overall, the high anabolic effect of rapidly digested proteins (e.g., hydrolyzed proteins and whey proteins) likely explains the enhanced protein retention observed in young rats fed the fermented gel that contains whey protein and is furthermore liable to have more hydrolyzed proteins and free AA.
      • Borack M.S.
      • Reidy P.T.
      • Husaini S.H.
      • Markofski M.M.
      • Deer R.R.
      • Richison A.B.
      • Lambert B.S.
      • Cope M.B.
      • Mukherjea R.
      • Jennings K.
      • Volpi E.
      • Rasmussen B.B.
      Soy-dairy protein blend or whey protein isolate ingestion induces similar postexercise muscle mechanistic target of rapamycin complex 1 signaling and protein synthesis responses in older men.
      compared the effect of isolated whey protein and soy–dairy protein blends ingested by human subjects and showed that these proteins induced similar responses in hyperaminoacidemia and muscle protein synthesis. This is in agreement with a previous study carried out on young adult humans, where ingestion of a soy–dairy protein blend following exercise prolonged blood aminoacidemia and muscle protein synthesis (
      • Reidy P.T.
      • Walker D.K.
      • Dickinson J.M.
      • Gundermann D.M.
      • Drummond M.J.
      • Timmerman K.L.
      • Fry C.S.
      • Borack M.S.
      • Cope M.B.
      • Mukherjea R.
      • Jennings K.
      • Volpi E.
      • Rasmussen B.B.
      Protein blend ingestion following resistance exercise promotes human muscle protein synthesis.
      ). In this regard,
      • Paul G.L.
      The rationale for consuming protein blends in sports nutrition.
      reported that combining soy, casein, and whey proteins is more efficient than the use of a single protein source because it leads to a better-balanced AA profile.
      It would have been interesting to complete the present study with an additional control group fed a plant protein–based gel containing only fava bean proteins. This experimental design would have assessed the nutritional benefit of blending fava bean proteins with animal proteins regarding a possible compensation of the well-known low anabolic effect of plant proteins. Nevertheless, the results from this group would have been expected. According to previous data, impaired growth rate, food efficiency, and muscle mass were observed in growing rats fed raw fava bean (Vicia faba) or raw pea seeds nonsupplemented in free sulfur AA compared with the casein group (
      • Martínez J.A.
      • Goena M.
      • Santidrián S.
      • Larralde J.
      Response of muscle, liver and whole-body protein turnover to two different sources of protein in growing rats.
      ;
      • Alonso R.
      • Grant G.
      • Frühbeck G.
      • Marzo F.
      Muscle and liver protein metabolism in rats fed raw or heat-treated pea seeds.
      ). In addition, when heated to reduce antinutritional factor content, pea seeds supplemented with free sulfur AA to target rat requirements induced a higher food efficiency and muscle mass than heat-treated but nonsupplemented pea seeds (i.e., results comparable with those obtained with casein;
      • Alonso R.
      • Grant G.
      • Frühbeck G.
      • Marzo F.
      Muscle and liver protein metabolism in rats fed raw or heat-treated pea seeds.
      ). These results highlight the importance of compensating the unbalanced legume proteins with sulfur AA. Feeding growing rats diets deficient in sulfur AA alters the growing rate and nitrogen balance of animals (
      • Heger J.
      • Frydrych Z.
      Efficiency of utilization of essential amino acids in growing rats at different levels of intake.
      ;
      • Sikalidis A.K.
      • Stipanuk M.H.
      Growing rats respond to a sulfur amino acid–deficient diet by phosphorylation of the α subunit of eukaryotic initiation factor 2 heterotrimeric complex and induction of adaptive components of the integrated stress response.
      ). Hence, rats fed only fava bean proteins were not used in the present work to avoid observing the well-known consequences of sulfur AA deficiency of legume proteins.
      It would also have been interesting to evaluate the effect of protein enrichment by comparing mixed gels of the present work (8% by weight protein) with a typical dairy yogurt (4% by weight protein). Digestibility of typical dairy yogurt is well documented in the literature (
      • Alm L.
      Effects of fermentation on curd size and digestibility of milk proteins in vitro of Swedish fermented milk products.
      ;
      • Lee H.
      • Friend B.A.
      • Shahani K.M.
      Factors affecting the protein quality of yogurt and acidophilus milk.
      ). Therefore, it is highly possible to compare protein digestibility observed in this study with that of typical dairy yogurt reported in the literature (
      • Alm L.
      Effects of fermentation on curd size and digestibility of milk proteins in vitro of Swedish fermented milk products.
      ;
      • Lee H.
      • Friend B.A.
      • Shahani K.M.
      Factors affecting the protein quality of yogurt and acidophilus milk.
      ). This comparison led us to conclude that the enrichment of protein from 4 to 8% by weight by the addition of fava bean proteins could improve protein digestibility of fava bean–dairy mixed gels compared with typical dairy yogurt.

      CONCLUSIONS

      Feeding dairy gels fortified with fava bean proteins induced a protein gain in young rats. The gain was significantly improved when rapidly digested whey proteins were added to the formula. Blending fava bean, casein, and whey proteins in a fermented gel resulted in improved protein efficiency and protein retention as well as muscle mass gain in young rats. This high-protein-content fava bean–dairy fermented gel could be proposed in pathophysiological situations involving body protein loss.

      ACKNOWLEDGMENTS

      This work is part of the “VEGAGE” project, which gets funding from Institut Carnot–Qualiment (France), and received financial support from the European Regional Development Fund and the Bourgogne–Franche-Comté (France) regional council. The authors are very grateful to Alexandre Berry, Philippe Lhoste, Phillipe Denis, and Christophe Delhomme (INRA, Clermont Auvergne, France) for their technical assistance and Julien Hermet (INRA, Clermont Auvergne, France) for his welcome and technical support. The authors declare no conflict of interest.

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