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Research| Volume 106, ISSUE 5, P3576-3585, May 2023

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Metabolic and physiological adaptations to first and second lactation in Holstein dairy cows: Postprandial patterns

  • L. Cattaneo
    Affiliations
    Department of Animal Science, Food and Nutrition (DIANA), Faculty of Agricultural, Food and Environmental Sciences, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy
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  • F. Piccioli-Cappelli
    Affiliations
    Department of Animal Science, Food and Nutrition (DIANA), Faculty of Agricultural, Food and Environmental Sciences, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy
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  • A. Minuti
    Affiliations
    Department of Animal Science, Food and Nutrition (DIANA), Faculty of Agricultural, Food and Environmental Sciences, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy
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  • E. Trevisi
    Correspondence
    Corresponding author
    Affiliations
    Department of Animal Science, Food and Nutrition (DIANA), Faculty of Agricultural, Food and Environmental Sciences, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy

    Romeo and Enrica Invernizzi Research Center for Sustainable Dairy Production of the Università Cattolica del Sacro Cuore (CREI), 29122 Piacenza, Italy
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Open AccessPublished:March 10, 2023DOI:https://doi.org/10.3168/jds.2022-22685

      ABSTRACT

      Dairy cows during their first and second lactation have different milk yield, body development, feed intake, and metabolic and endocrine statuses. However, large diurnal variations can also exist in terms of biomarkers and hormones related to feeding behavior and energy metabolism. Thus, we investigated the diurnal patterns of the main metabolic plasma analytes and hormones in the same cows during their first and second lactations in different stages of the lactation cycle. Eight Holstein dairy cows were monitored during their first and second lactation, during which they were reared under the same conditions. Blood samples were collected before the morning feeding (0 h) and after 1, 2, 3, 4.5, 6, 9, and 12 h on scheduled days between −21 d relative to calving (DRC) and 120 DRC for the assessment of some metabolic biomarkers and hormones. Data were analyzed using the GLIMMIX procedure of SAS (SAS Institute Inc.). Regardless of parity and stage of lactation, glucose, urea, β-hydroxybutyrate, and insulin peaked a few hours after the morning feeding, whereas nonesterified fatty acids decreased. The insulin peak was attenuated during the first month of lactation, whereas postpartum growth hormone spiked on average 1 h after the first meal in cows during their first lactation. This peak occurred earlier than during the second lactation. Most of the differences in diurnal trends between lactations were observed in the postpartum period (and in some cases even in early lactation). Glucose and insulin were higher during the first lactation throughout the day, and the differences increased 9 h after feeding. Conversely, nonesterified fatty acids and β-hydroxybutyrate showed the opposite trend, and their plasma concentrations at 9 and 12 h after feeding differed between lactations. These results confirmed the differences observed between the first 2 lactations in prefeeding metabolic marker concentrations. Furthermore, plasma concentrations of investigated analytes showed high variability during the day, and thus we advise caution when interpreting metabolic biomarker data in dairy cows, especially during the periods close to calving.

      Key words

      INTRODUCTION

      Lactating dairy cows have massive energy requirements that are required to support milk production, reproduction, and growth at a time when they also need energy to maintain their health status and welfare. The onset of lactation represents the most critical phase for nutrient regulation as an impressive number of physiological adaptations occur aimed at supporting mammary activity (
      • Baumgard L.H.
      • Collier R.J.
      • Bauman D.E.
      A 100-Year Review: Regulation of nutrient partitioning to support lactation.
      ). During this period, lactating mammals mobilize body reserves to prioritize milk synthesis, in particular if the animals are highly selected and highly producing, such as Holstein cows (
      • Coffey M.P.
      • Simm G.
      • Oldham J.D.
      • Hill W.G.
      • Brotherstone S.
      Genotype and diet effects on energy balance in the first three lactations of dairy cows.
      ). In fact, the hierarchy of nutrient partitioning becomes completely reorganized, and dairy cows' metabolism is finely coordinated to support the increased metabolic demands of milk synthesis.
      Glucose plays a pivotal role in this scenario because it is the main source of energy for nervous tissue and the only precursor of lactose (
      • Kronfeld D.S.
      Major metabolic determinants of milk volume, mammary efficiency, and spontaneous ketosis in dairy cows.
      ). To produce 1 kg of milk, 72 g of glucose is required (
      • Kronfeld D.S.
      Major metabolic determinants of milk volume, mammary efficiency, and spontaneous ketosis in dairy cows.
      ), and the mammary gland is responsible for about 50 to 85% of whole-body glucose consumption (
      • Rigout S.
      • Lemosquet S.
      • van Eys J.E.
      • Blum J.W.
      • Rulquin H.
      Duodenal glucose increases glucose fluxes and lactose synthesis in grass silage-fed dairy cows.
      ;
      • Lemosquet S.
      • Raggio G.
      • Lobley G.E.
      • Rulquin H.
      • Guinard-Flament J.
      • Lapierre H.
      Whole-body glucose metabolism and mammary energetic nutrient metabolism in lactating dairy cows receiving digestive infusions of casein and propionic acid.
      ). After calving, glucose requirements dramatically increase by up to 2.5-fold compared with those of the dry period (
      • Bell A.W.
      • Bauman D.E.
      Adaptations of glucose metabolism during pregnancy and lactation.
      ;
      • Drackley J.K.
      • Overton T.R.
      • Douglas G.N.
      Adaptations of glucose and long-chain fatty acid metabolism in liver of dairy cows during the periparturient period.
      ) and even more if an immune response occurs during this period (
      • Kvidera S.K.
      • Horst E.A.
      • Abuajamieh M.
      • Mayorga E.J.
      • Fernandez M.V.S.
      • Baumgard L.H.
      Glucose requirements of an activated immune system in lactating Holstein cows.
      ). Cows cannot cope with this increase in energy intake, which leads to an energy imbalance after which body reserves are mobilized (
      • Drackley J.K.
      Biology of dairy cows during the transition period: The final frontier?.
      ). This framework is also supported by an insulin-resistant state of peripheral tissues (
      • De Koster J.D.
      • Opsomer G.
      Insulin resistance in dairy cows.
      ) and changes that occur in the somatotropic axis (
      • Lucy M.C.
      • Jiang H.
      • Kobayashi Y.
      Changes in the somatotrophic axis associated with the initiation of lactation.
      ).
      To further complicate this situation, heifers that give birth for the first time have a different metabolic and endocrine status than that of mature cows. In fact, despite lower milk yield, growth requirements add up to those of lactation (
      • NASEM (National Academies of Sciences, Engineering, and Medicine)
      Nutrient Requirements of Dairy Cattle.
      ). Moreover, compared with multiparous cows, they have different feeding behavior, eating less DM during the transition period and taking more time to eat. Thus, because of the slower rate of consuming food, they suffer more from competition and can be replaced at the feeder by multiparous cows (
      • Neave H.W.
      • Lomb J.
      • von Keyserlingk M.A.G.
      • Behnam-Shabahang A.
      • Weary D.M.
      Parity differences in the behavior of transition dairy cows.
      ). Conversely, previous studies carried out later during lactation showed the inverse trend with multiparous (
      • Dado R.G.
      • Allen M.S.
      Variation in and relationships among feeding, chewing, and drinking variables for lactating dairy cows.
      ;
      • Maekawa M.
      • Beauchemin K.A.
      • Christensen D.A.
      Chewing activity, saliva production, and ruminal pH of primiparous and multiparous lactating dairy cows.
      ). In addition, lying and activity times differ with parity number (
      • Stone A.E.
      • Jones B.W.
      • Becker C.A.
      • Bewley J.M.
      Influence of breed, milk yield, and temperature-humidity index on dairy cow lying time, neck activity, reticulorumen temperature, and rumination behavior.
      ). Taken together, these behavioral changes can influence metabolic responses throughout the day.
      The analysis of plasma metabolites is commonly used to monitor the metabolic status of dairy cows (
      • Bertoni G.
      • Trevisi E.
      Use of the Liver Activity Index and other metabolic variables in the assessment of metabolic health in dairy herds.
      ;
      • Calamari L.
      • Ferrari A.
      • Minuti A.
      • Trevisi E.
      Assessment of the main plasma parameters included in a metabolic profile of dairy cow based on Fourier transform mid-infrared spectroscopy: Preliminary results.
      ;
      • Premi M.
      • Mezzetti M.
      • Ferronato G.
      • Barbato M.
      • Piccioli Cappelli F.
      • Minuti A.
      • Trevisi E.
      Changes of plasma analytes reflecting metabolic adaptation to the different stages of the lactation cycle in healthy multiparous Holstein dairy cows raised in high-welfare conditions.
      ). Samples are usually collected once a day before the morning feeding. However, many metabolites have large variations during the day, and sampling at different hours might lead to a different interpretation of results (
      • Fröhli D.M.
      • Blum J.W.
      Nonesterified fatty acids and glucose in lactating dairy cows: diurnal variations and changes in responsiveness during fasting to epinephrine and effects of beta-adrenergic blockade.
      ;
      • Blum J.W.
      • Bruckmaier R.M.
      • Vacher P.-Y.
      • Unger A.M.
      • Jans F.
      Twenty-four-hour patterns of hormones and metabolites in week 9 and 19 of lactation in high-yielding dairy cows fed triglycerides and free fatty acids.
      ;
      • Piccioli-Cappelli F.
      • Seal C.J.
      • Parker D.S.
      • Loor J.J.
      • Minuti A.
      • Lopreiato V.
      • Trevisi E.
      Effect of stage of lactation and dietary starch content on endocrine-metabolic status, blood amino acid concentrations, milk yield, and composition in Holstein dairy cows.
      ). Diurnal patterns of plasma metabolites may better explain the metabolic condition of animals. Daily variations can be related to feeding frequency, behavior, and rumen fermentation pattern. In fact, rumen pH and VFA production vary throughout the day (
      • van Lingen H.J.
      • Edwards J.E.
      • Vaidya J.D.
      • van Gastelen S.
      • Saccenti E.
      • van den Bogert B.
      • Bannink A.
      • Smidt H.
      • Plugge C.M.
      • Dijkstra J.
      Diurnal dynamics of gaseous and dissolved metabolites and microbiota composition in the bovine rumen.
      ;
      • Salfer I.J.
      • Morelli M.C.
      • Ying Y.
      • Allen M.S.
      • Harvatine K.J.
      The effects of source and concentration of dietary fiber, starch, and fatty acids on the daily patterns of feed intake, rumination, and rumen pH in dairy cows.
      ) in relation to feeding and eating frequency (
      • Sutton J.D.
      • Hart I.C.
      • Brosters W.H.
      • Elliott R.J.
      • Schuller E.
      Feeding frequency for lactating cows: Effects on rumen fermentation and blood metabolites and hormones.
      ). Also, feed intake shows a diurnal rhythm, with the frequency and distribution of meals mostly related to the time of feed delivery and milking, and more frequent meals during the day and less during the overnight period (
      • DeVries T.J.
      • von Keyserlingk M.A.G.
      • Beauchemin K.A.
      Frequency of feed delivery affects the behavior of lactating dairy cows.
      ). Moreover, milking and mammary uptake influence the release of many hormones (
      • Bruckmaier R.M.
      • Blum J.W.
      Oxytocin release and milk removal in ruminants.
      ) that, in turn, can lead to alterations in plasma concentrations of several metabolites.
      We hypothesized that hormonal and metabolic diurnal variations would differ between cows at their first and second calving. Thus, the aim of this observational study was to characterize postprandial variations (until 12 h after the first meal) of the main plasma metabolic markers and hormones in the same dairy cows during their first and second lactations from late gestation through the first 4 mo of lactation.

      MATERIALS AND METHODS

      Animal Management and Experimental Design

      The research was carried out at the Università Cattolica del Sacro Cuore research dairy barn (Experiment Station, San Bonico, Piacenza, Italy) in accordance with Italian laws on animal experimentation (DL n. 116, 27/01/1992) and ethics. This study used the same experimental design and animals as described by
      • Cattaneo L.
      • Piccioli-Cappelli F.
      • Minuti A.
      • Trevisi E.
      Metabolic and physiological adaptations to first and second lactation in Holstein dairy cows.
      . Briefly, 8 Holstein dairy cows were housed in individual tiestalls under controlled environmental conditions (room temperature of 20°C, relative humidity of 65%, 14 h of light) from −55 to 120 d relative to calving (DRC). The same group of animals was monitored throughout their first and second calvings. From −55 until −7 DRC, animals received hay-based feed combined with corn silage (10 kg) and concentrate (1.5 kg). Seven days before the expected day of calving, 1 kg of lactation concentrate was added to the diet, and just after calving, alfalfa-dehydrated hay was fixed to 3 kg and grass hay was gradually reduced to 2.0 kg/d. Moreover, after calving, corn silage was incremented at a rate of 2 kg/wk (to a maximum of 20 kg/d), and concentrate was increased by 0.5 kg/d until it satisfied the requirement of 1 kg of concentrate for every 3 kg of produced milk. Daily amounts of forage were individually fed twice a day (0730 and 1930 h), and the daily amount of concentrate (delivered in pelleted form) was fed in 8 equal meals at 3-h intervals during the day, using an automatic feeder; 2 of the 8 meals were programmed to deliver the concentrate 30 min before the forage meals (Figure 1). Thus, the diet was fed in 2 identical modules repeated every 12 h, and the 2 main meals were given at 0730 and 1930 h. Representative samples were collected from each feed at every batch change; after DM determination, samples were analyzed for CP, crude fiber, NDF, ether extract, ash, and starch contents (
      • AOAC International
      ). Full details of feeding and diet composition can be found in
      • Cattaneo L.
      • Piccioli-Cappelli F.
      • Minuti A.
      • Trevisi E.
      Metabolic and physiological adaptations to first and second lactation in Holstein dairy cows.
      . Average DMI and composition of the diet consumed by cows are reported based on physiological phase in Table 1.
      Figure thumbnail gr1
      Figure 1Schematic representation of the daily schedule of meal delivery times and blood samples collected during the trial.
      Table 1Mean (±SD) DMI and dietary chemical composition for 8 Holstein cows followed through their first and second lactations
      Physiological phase
      Dry period includes −21 and −7 d relative to calving (DRC); postpartum period includes 7 and 21 DRC; early lactation includes 35 and 49 DRC; mid lactation includes 63, 90, and 120 DRC.
      DMI, kg/dNEL, Mcal/kg of DMCP, % of DMNFC,
      Calculated by difference: NFC = 100 − (NDF + CP + fat + ash).
      % of DM
      NFC, % of DM
      FirstSecondFirstSecondFirstSecondFirstSecondFirstSecond
      Dry period10.6 ± 1.314.2 ± 2.21.5 ± 0.11.4 ± 0.114.2 ± 1.312.9 ± 1.345.2 ± 4.447.6 ± 3.328.7 ± 3.727.6 ± 2.6
      Postpartum period16.5 ± 2.318.4 ± 3.81.7 ± 0.11.6 ± 0.117.3 ± 0.616.7 ± 0.836.4 ± 3.634.9 ± 1.732.7 ± 3.134.9 ± 1.8
      Early lactation20.3 ± 1.523.2 ± 2.41.6 ± 0.11.6 ± 0.116.8 ± 0.916.7 ± 0.736.5 ± 4.433.5 ± 1.033.7 ± 2.836.1 ± 1.3
      Mid lactation21.9 ± 1.624.6 ± 2.01.6 ± 0.11.6 ± 0.116.6 ± 0.516.4 ± 0.435.8 ± 3.333.4 ± 1.234.0 ± 2.836.5 ± 0.8
      1Dietary forage and concentrates were fed separately to individual cows throughout the study period (refer to text for details of feeding procedure).
      2 Dry period includes −21 and −7 d relative to calving (DRC); postpartum period includes 7 and 21 DRC; early lactation includes 35 and 49 DRC; mid lactation includes 63, 90, and 120 DRC.
      3 Calculated by difference: NFC = 100 − (NDF + CP + fat + ash).

      Blood Sample Collection and Analysis

      At −21, −7, 7, 21, 35, 49, 63, 90, and 120 DRC immediately before the delivery of morning feed (0 h), and after 1, 2, 3, 4.5, 6, 9, and 12 h, blood samples were harvested from the jugular vein (Figure 1). For the metabolic profile assessment, samples were collected into 10-mL heparinized vacuum tubes (Vacutainer, Becton Dickinson) and placed on ice until centrifugation. Within 1 h of collection, a small amount of blood was used for the determination of packed cell volume (Centrifugette 4203, ALC International Srl), and the remainder was centrifuged at 3,500 × g for 16 min at 4°C (
      • Calamari L.
      • Ferrari A.
      • Minuti A.
      • Trevisi E.
      Assessment of the main plasma parameters included in a metabolic profile of dairy cow based on Fourier transform mid-infrared spectroscopy: Preliminary results.
      ). Aliquots of the resulting plasma were frozen at −20°C until further analysis (
      • Cattaneo L.
      • Piccioli-Cappelli F.
      • Minuti A.
      • Trevisi E.
      Metabolic and physiological adaptations to first and second lactation in Holstein dairy cows.
      ). Briefly, blood metabolites were analyzed at 37°C using a clinical analyzer (ILAB 600, Werfen). Commercial kits were used to determine plasma concentrations of glucose, urea, and creatinine (Werfen), BHB (Randox Laboratories Ltd.), and nonesterified fatty acids (NEFA; Wako Chemicals GmbH).
      Plasma concentration of bST was quantified by a heterologous double-antibody RIA using materials and procedures obtained from the National Hormone and Peptide Program and the National Institute of Diabetes and Digestive and Kidney Diseases (Torrance, CA). Highly purified bST (reagent AFP-11182B/AFP-9884C) was used for standards (useful concentration range: 0–100 ng/mL) and for iodination (based on the iodogen method of
      • Salacinski P.R.P.
      • McLean C.
      • Sykes J.E.C.
      • Clement-Jones V.V.
      • Lowry P.J.
      Iodination of proteins, glycoproteins, and peptides using a solid-phase oxidizing agent, 1,3,4,6-tetrachloro-3α,6α-diphenyl glycoluril (Iodogen).
      ). Monkey anti-bovine bST serum (AFP-B55Bb) was used as the primary antibody (1:500,000 final tube dilution). Precipitation of the antigen–antibody complexes was obtained using a goat anti-human γ-globulin (Jackson ImmunoResearch Labs) as a second antibody (2.0% final dilution) together with normal human serum (0.2%) and diluted polyethylene glycol (PEG 6000, 3.0% final tube dilution). Spike, recovery, and linearity testing yielded results within the 85 to 120% range of expected concentrations. Inter- and intraassay coefficients of variation (CV) were 4.0 and 6.2%, respectively. Insulin concentrations in plasma were assayed using a double-antibody RIA kit for human insulin (DSL 1600; Diagnostic Systems Laboratories Inc.) that used a polyclonal antibody with high cross-reactivity to bovine insulin. For bovine plasma samples, the kit was validated by performing linearity testing in which observed, compared with expected results were in the range of 85 to 115%. The intra- and interassay CV were 7.5 and 9.5%, respectively.

      Statistical Analysis

      The sample size was calculated to achieve a power >0.80 with an α = 0.05 using the G*Power package (
      • Faul F.
      • Erdfelder E.
      • Lang A.-G.
      • Buchner A.
      G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences.
      ). The effect size was calculated using the variance of blood parameters (mainly glucose and insulin) as observed in our previous studies. Statistical analysis was performed using SAS software (release 9.4, SAS Institute Inc.). Data were subjected to ANOVA using repeated-measures mixed models (GLIMMIX procedure of SAS). Sampling days were grouped into physiological phases, considering −21 and −7 DRC as dry period (DP), 7 and 21 DRC as postpartum period (PP), 35 and 49 DRC as early lactation (EL), and 63, 90, and 120 DRC as mid lactation (ML). The model included the fixed effects of lactation (L; first and second), physiological phase (P; dry period, onset of lactation, early and mid lactation), hour of the day (H; 0, 1, 2, 3, 4.5, 6, 9, 12 h), and the interactions L × H, P × H, and L × P × H. The random effect of cow was included in the model. Hour of the day was specified as a repeated measure with compound symmetry covariance structure, and the subject was defined as cow × physiological phase (
      • Tao J.
      • Kiernan K.
      • Gibbs P.
      Advanced techniques for fitting mixed models using SAS/STAT® software. Paper 1919 in Proceedings of the SAS Global Forum 2015 Conference.
      ). Distributions of residuals were visually assessed. The pairwise comparisons were performed using the least significant difference test with Tukey adjustment. Statistical significance was declared at P ≤ 0.05, and differences among means with 0.05 < P ≤ 0.10 were considered in the context of tendencies.

      RESULTS

      Blood Biomarkers

      Least squares means of plasma biomarker concentrations are shown in Table 2. Hematocrit was constant throughout the day (H; P = 0.57) without relevant differences in daily patterns among lactations and physiological phases. Glucose concentration peaked 1 h after the morning feeding, decreased for 3 h thereafter, and increased again (3.89 vs 3.73 vs 3.82 ± 0.08 mmol/L, respectively at 1, 3, and 6 h; H, P < 0.01; Figure 2A). Plasma glucose diurnal patterns varied with phases between lactations (L × P × H; P < 0.01), whereas trends did not differ between lactations in DP and ML. In the PP period, glucose showed the lowest values, particularly during the second lactation. In EL, glycemia did not differ during the first hours of the day but second-lactation cows had more marked declines in glucose concentrations between 2 and 9 h.
      Table 2Least square means of plasma metabolites and hormones from 0 to 12 h from the morning feeding in different physiological phases (dry period, postpartum, early lactation, and mid lactation) in 8 Holstein dairy cows during their first and second lactations
      Each physiological phase included 2 or 3 sampling days. Means present summarized diurnal data by parity within cow and across physiological phases for the first 120 DIM.
      ItemLactationSEMP-value
      P-values of the main effects: lactation (L), physiological phase (P), hour of the day (H), and their interactions.
      FirstSecondLPHL × HP × HL × P × H
      Packed cell volume, L/L0.300.290.005<0.01<0.010.570.070.730.91
      Glucose, mmol/L3.913.720.08<0.01<0.01<0.010.300.95<0.01
      Urea, mmol/L4.805.380.18<0.01<0.01<0.010.980.650.34
      NEFA,
      NEFA = nonesterified fatty acids.
      mmol/L
      0.170.210.02<0.01<0.01<0.010.100.13<0.01
      BHB, mmol/L0.510.620.06<0.010.010.060.990.96<0.01
      Creatinine, μmol/L94.694.22.530.30<0.010.360.711.00<0.01
      Insulin, mU/mL10.28.90.53<0.01<0.01<0.010.140.040.06
      bST, ng/mL2.322.160.170.11<0.010.160.080.040.27
      1 Each physiological phase included 2 or 3 sampling days. Means present summarized diurnal data by parity within cow and across physiological phases for the first 120 DIM.
      2 P-values of the main effects: lactation (L), physiological phase (P), hour of the day (H), and their interactions.
      3 NEFA = nonesterified fatty acids.
      Figure thumbnail gr2
      Figure 2Diurnal patterns of plasma glucose (A), urea (B), nonesterified fatty acids (NEFA; C), and BHB (D) from 0 to 12 h relative to the first feeding in different physiological phases (dry period, postpartum, early lactation, and mid lactation) in 8 Holstein dairy cows during their first and second lactations. Dry period includes −21 and −7 d relative to calving (DRC); postpartum period includes 7 and 21 DRC; early lactation includes 35 and 49 DRC; mid lactation includes 63, 90, and 120 DRC. Data are presented as LSM ± SEM. Significant differences (P ≤ 0.05) between first and second lactation at each time point are denoted with an asterisk (*).
      Urea concentrations increased from 5.02 to 5.29 ± 0.19 mmol/L at baseline to 3 h after the main meal, after which they decreased, reaching their lowest concentration at 12 h (4.82 ± 0.19 mmol/L; H, P < 0.01; Figure 2B). No significant interaction effects were achieved, with urea having the same diurnal pattern among lactations and physiological phases, maintaining during the day the differences observed between the lactations at the baseline (time zero) with gradually increasing concentrations from DP to the ML period, as reported in the companion paper (
      • Cattaneo L.
      • Piccioli-Cappelli F.
      • Minuti A.
      • Trevisi E.
      Metabolic and physiological adaptations to first and second lactation in Holstein dairy cows.
      ).
      The concentration of NEFA was at its daily highest concentration at the moment of the morning feeding (0.26 ± 0.02 mmol/L; H, P < 0.01; Figure 2C) and then stabilized around 0.16 mmol/L and increased again 9 h later (0.20 mmol/L). Cows in their second lactation tended to have a slower decrease after the main meal and an earlier increase in the evening (L × H; P = 0.10). The latter was more evident during PP when there was a plunge in both groups after the main feeding (though slower in second lactation) and a large increase at the end of the 12-h period (L × P × H; P < 0.01); diurnal patterns of NEFA were similar in the other periods. Plasma BHB tended to peak at 3 h (0.61 ± 0.06 mmol/L; H, P = 0.06; Figure 2D), and a significant L × P × H interaction was observed (P < 0.01). Overall, values were similar and stable during the day throughout the phases considered, except during PP. In fact, in this period, BHB concentrations were higher compared with other phases, especially during the second lactation, when they were significantly higher than during the first lactation (P < 0.01). Furthermore, primiparous cows showed a marked decline in BHB concentrations at 9 and 12 h, whereas values were stable during second lactation. Creatinine did not show any difference with regard to parity and hour of the day.

      Blood Hormones

      During the day, circulating insulin was lowest before the meal, peaked 1 h later (7.26 and 11.07 ± 0.58 mU/mL, respectively; H, P < 0.01; Figure 3A) and increased again at 12 h (10.04 ± 0.60 mU/mL). Regardless of parity, the periods under consideration showed different diurnal patterns (P × H; P = 0.04). Circulating insulin was lower in PP and EL, and the postprandial peak was reduced during these phases compared with that during DP and ML. Moreover, there was a tendency toward a triple interaction effect (P = 0.06; Figure 3A) as a result of the specific pattern of the 2 phases mentioned before. That is, while both lactations in DP and ML showed the usual pattern in terms of the postprandial peak, in PP and EL the aforementioned peak was greatly reduced, and the 2 lactations showed a divergent trend starting from 6 h with an increase of plasma insulin in first-lactation cows and a decrease in second-lactation cows. No differences were observed throughout the day in blood bST. Compared with second-lactation cows, cows in their first lactation had an anticipated peak after a meal and a second peak at 9 h (L × H; P = 0.08; Figure 3B), which was particularly noticeable postpartum. Although overall bST concentrations were relatively stable during the day, a peak at 1 h during PP and another peak at 9 h in PP and EL were found (P × H; P = 0.04).
      Figure thumbnail gr3
      Figure 3Postprandial patterns of insulin (A) and bST (B) from 0 to 12 h relative to the first feeding in different physiological phases (dry period, postpartum, early lactation, and mid lactation) in 8 Holstein dairy cows during their first and second lactations. Dry period includes −21 and −7 d relative to calving (DRC); postpartum period includes 7 and 21 DRC; early lactation includes 35 and 49 DRC; mid lactation includes 63, 90, and 120 DRC. Data are presented as LSM ± SEM. Significant differences (P ≤ 0.05) between first and second lactation at each time point are denoted with an asterisk (*).

      DISCUSSION

      Large differences exist in dairy cattle productivity, BW, DMI, and metabolic and endocrine profiles between their first and second lactations (
      • Meikle A.
      • Kulcsar M.
      • Chilliard Y.
      • Febel H.
      • Delavaud C.
      • Cavestany D.
      • Chilibroste P.
      Effects of parity and body condition at parturition on endocrine and reproductive parameters of the cow.
      ;
      • Wathes D.C.
      • Cheng Z.
      • Bourne N.
      • Taylor V.J.
      • Coffey M.P.
      • Brotherstone S.
      Differences between primiparous and multiparous dairy cows in the inter-relationships between metabolic traits, milk yield and body condition score in the periparturient period.
      ;
      • Cattaneo L.
      • Piccioli-Cappelli F.
      • Minuti A.
      • Trevisi E.
      Metabolic and physiological adaptations to first and second lactation in Holstein dairy cows.
      ). However, these comparisons were carried out only once daily, and samples for metabolic profile assessment and hormone determination are usually collected before the morning feeding. Much effort has been directed toward disentangling the diurnal patterns of blood metabolites and hormones in response to different diets or feeding patterns (
      • Ametaj B.N.
      • Emmanuel D.G.V.
      • Zebeli Q.
      • Dunn S.M.
      Feeding high proportions of barley grain in a total mixed ration perturbs diurnal patterns of plasma metabolites in lactating dairy cows.
      ;
      • Rottman L.W.
      • Ying Y.
      • Zhou K.
      • Bartell P.A.
      • Harvatine K.J.
      The effects of feeding rations that differ in neutral detergent fiber and starch concentration within a day on production, feeding behavior, total-tract digestibility, and plasma metabolites and hormones in dairy cows.
      ;
      • Salfer I.J.
      • Morelli M.C.
      • Ying Y.
      • Allen M.S.
      • Harvatine K.J.
      The effects of source and concentration of dietary fiber, starch, and fatty acids on the daily patterns of feed intake, rumination, and rumen pH in dairy cows.
      ) but, to our knowledge, this study is the first to investigate the differences in these patterns in cows during their first and second lactations. Moreover, we followed the same cows raised under equal conditions (environment, diet, and management) in the 2 lactations considered, thus limiting as far as possible the confounding effects of genetics and environment. Cows were in good health overall, as supported by the absence of severe periparturient diseases and the low levels of SCC and haptoglobin (
      • Cattaneo L.
      • Piccioli-Cappelli F.
      • Minuti A.
      • Trevisi E.
      Metabolic and physiological adaptations to first and second lactation in Holstein dairy cows.
      ), except for the first week of lactation when a certain degree of inflammation is necessary to support adaptation to the transition period (
      • Bionaz M.
      • Trevisi E.
      • Calamari L.
      • Librandi F.
      • Ferrari A.
      • Bertoni G.
      Plasma paraoxonase, health, inflammatory conditions, and liver function in transition dairy cows.
      ;
      • Bradford B.J.
      • Yuan K.
      • Farney J.K.
      • Mamedova L.K.
      • Carpenter A.J.
      Invited review: Inflammation during the transition to lactation: New adventures with an old flame.
      ;
      • Trevisi E.
      • Minuti A.
      Assessment of the innate immune response in the periparturient cow.
      ). The main target of the present research was to investigate postprandial variations in a condition where cows were fed according to a feeding system that included meals of forage and concentrates distributed at identical intervals every 12 h, with no competition among animals for feeding or bedding space. Therefore, samples were not harvested during the overnight period, somewhat limiting the visualization of the complete rhythms over a day. Particularly, bST has a pulsatile secretion, and we were not able to identify the peaks in its secretion.
      In the companion paper, we highlighted how different DMI (18.5 kg/d overall during the first lactation, and 21.2 kg/d during the second) and milk yields (33.4 kg/d in the first 4 mo of the first lactation, and 42.1 kg/d in the second) drive variations between the 2 lactations, resulting in a more marked negative energy balance during second lactation (
      • Cattaneo L.
      • Piccioli-Cappelli F.
      • Minuti A.
      • Trevisi E.
      Metabolic and physiological adaptations to first and second lactation in Holstein dairy cows.
      ). In the present work, we investigated the postprandial trends of the main metabolism biomarkers and hormones that have shown diurnal changes. Glucose is the key molecule in energy metabolism and nutrient partitioning (
      • De Koster J.D.
      • Opsomer G.
      Insulin resistance in dairy cows.
      ). Plasma glycemia showed similar patterns during the day in the different phases under consideration but, consistent with baseline concentrations, was constantly higher during the dry period and lower during the postpartum period compared with early and mid lactation, reflecting the overall energy balance. An increase immediately after the first meal was observed only during the dry period. During lactation, glucose concentration decreased, likely as a result of mammary uptake and insulin activity, which redirects glucose toward peripheral tissues. The likely higher intensity of rumen fermentation, supported by the concentrate meals delivered with automatic feeders, and the greater availability of substrates for gluconeogenesis likely caused the slight increase observed in the evening, similar to the results observed by
      • Rottman L.W.
      • Ying Y.
      • Zhou K.
      • Bartell P.A.
      • Harvatine K.J.
      The effects of feeding rations that differ in neutral detergent fiber and starch concentration within a day on production, feeding behavior, total-tract digestibility, and plasma metabolites and hormones in dairy cows.
      with different feeding strategies. Moreover, glucose had a similar pattern during first and second lactations, but concentrations were markedly different, particularly during the first stage of lactation, a result consistent with the difference observed in terms of the energy balance (
      • Cattaneo L.
      • Piccioli-Cappelli F.
      • Minuti A.
      • Trevisi E.
      Metabolic and physiological adaptations to first and second lactation in Holstein dairy cows.
      ). The relevant decrease in glycemia observed during the central hours of the day, particularly at the onset of second lactation and despite the applied feeding strategy, suggests the need for feeding strategies that allow for a more constant supply of gluconeogenetic substrates after the main meal (
      • Bertoni G.
      • Lombardelli R.
      • Trevisi E.
      Circadian blood variations and performance effects in dairy cows fed during the day or the night.
      ).
      During the dry and mid-lactation periods, blood urea concentrations increased during the first hours of the day. Urea concentration usually peaks and subsequently declines during the first few hours after a meal (
      • Gustafsson A.H.
      • Palmquist D.L.
      Diurnal variation of rumen ammonia, serum urea, and milk urea in dairy cows at high and low yields.
      ;
      • Rottman L.W.
      • Ying Y.
      • Zhou K.
      • Bartell P.A.
      • Harvatine K.J.
      The effects of feeding rations that differ in neutral detergent fiber and starch concentration within a day on production, feeding behavior, total-tract digestibility, and plasma metabolites and hormones in dairy cows.
      ) due to hepatic conversion of greater ammonia flux resulting from microbial dietary protein degradation (
      • Spek J.W.
      • Dijkstra J.
      • Van Duinkerken G.
      • Bannink A.
      A review of factors influencing milk urea concentration and its relationship with urinary urea excretion in lactating dairy cattle.
      ). However, the variations after the meal were dampened in the first weeks of lactation, likely due to a higher rate of gluconeogenesis from AA due to the negative energy balance. The diurnal pattern of urea was not different between parities, but there was a higher concentration during second lactation due to the higher DM and protein intake (and likely an increased ammonia flux from the rumen, despite not being measured). The latter occurred although the same protein sources were used, thus with the same rumen degradability and the likely higher rumen passage rate during the second lactation. Particularly, during the first stage of lactation, this difference between lactations was more evident as a result of higher AA catabolism related to more pronounced negative energy balance during second lactation.
      The effect of the negative energy balance and fat mobilization can also be observed in terms of NEFA and BHB trends. At times other than the postpartum period, NEFA concentrations decreased immediately after the morning feeding and remained relatively stable during the day, as previously observed (
      • Bertoni G.
      • Trevisi E.
      • Bani P.
      Metabolic effects of two different lapses without concentrate in early lactating dairy cows.
      ). Nonesterified fatty acids usually increase overnight (
      • Niu M.
      • Ying Y.
      • Bartell P.A.
      • Harvatine K.J.
      The effects of feeding rations that differ in fiber and fermentable starch within a day on milk production and the daily rhythm of feed intake and plasma hormones and metabolites in dairy cows.
      ;
      • Couperus A.M.
      • Schroeder F.
      • Klukas R.
      • Huber J.
      • Wittek T.
      • Peham J.R.
      Influence of different lactation stages on circadian rhythmicity of metabolic biomarkers in dairy cows: A pilot study.
      ;
      • Seely C.R.
      • Bach K.D.
      • Barbano D.M.
      • McArt J.A.A.
      Effect of hyperketonemia on the diurnal patterns of energy-related blood metabolites in early-lactation dairy cows.
      ) because of low intake paired with the constant demand for milk synthesis (
      • Rottman L.W.
      • Ying Y.
      • Zhou K.
      • Bartell P.A.
      • Harvatine K.J.
      The effects of feeding rations that differ in neutral detergent fiber and starch concentration within a day on production, feeding behavior, total-tract digestibility, and plasma metabolites and hormones in dairy cows.
      ), which results in an increase in lipid mobilization. Without overnight data, we could not observe this course in our study. Nevertheless, a decline in plasma NEFA during the first hours of the day was observed and could be justified by insulin and bST changes. Particularly during the postpartum period, the bST variations were larger with a likely reduction in lipolysis and a higher peripheral NEFA utilization facilitated by the hormone (
      • Burton J.L.
      • McBride B.W.
      • Block E.
      • Glimm D.R.
      • Kennelly J.J.
      A review of bovine growth hormone.
      ). Nevertheless, the limited postprandial variation in insulin concentration postpartum was not consistent with the concurrent decrease in NEFA, suggesting a modest effect of insulin on lipolysis in this phase, in agreement with the reduced adipose tissue sensitivity to insulin at the turn of the calving event (
      • Vernon R.G.
      • Sasaki S.
      Control of responsiveness of tissues to hormones.
      ). Particularly during the transition period, the upregulated basal and catecholamine-stimulated lipolytic activity might explain these variations (
      • De Koster J.
      • Van den Broeck W.
      • Hulpio L.
      • Claeys E.
      • Van Eetvelde M.
      • Hermans K.
      • Hostens M.
      • Fievez V.
      • Opsomer G.
      Influence of adipocyte size and adipose depot on the in vitro lipolytic activity and insulin sensitivity of adipose tissue in dairy cows at the end of the dry period.
      ;
      • Contreras G.A.
      • Strieder-Barboza C.
      • Raphael W.
      Adipose tissue lipolysis and remodeling during the transition period of dairy cows.
      ). During the postpartum phase, samples taken at 9 and 12 h after the morning feeding showed a relevant increase in NEFA concentration, similar to those observed at night during the second lactation (0 h), consistent with the findings of other authors (
      • Fröhli D.M.
      • Blum J.W.
      Nonesterified fatty acids and glucose in lactating dairy cows: diurnal variations and changes in responsiveness during fasting to epinephrine and effects of beta-adrenergic blockade.
      ;
      • Blum J.W.
      • Bruckmaier R.M.
      • Vacher P.-Y.
      • Unger A.M.
      • Jans F.
      Twenty-four-hour patterns of hormones and metabolites in week 9 and 19 of lactation in high-yielding dairy cows fed triglycerides and free fatty acids.
      ). This fact could be indicative of a different feeding pattern exacerbated by a more severe negative energy balance, likely with lower DMI in these cows late in the afternoon, or a different endocrine framework. Moreover, this was the only different pattern observed between lactations; in the other phases, NEFA had a similar pattern and concentration between the 2 lactations. For BHB, we observed a moderate postprandial increase. Other authors (
      • Piccioli-Cappelli F.
      • Loor J.J.
      • Seal C.J.
      • Minuti A.
      • Trevisi E.
      Effect of dietary starch level and high rumen-undegradable protein on endocrine-metabolic status, milk yield, and milk composition in dairy cows during early and late lactation.
      ;
      • Couperus A.M.
      • Schroeder F.
      • Klukas R.
      • Huber J.
      • Wittek T.
      • Peham J.R.
      Influence of different lactation stages on circadian rhythmicity of metabolic biomarkers in dairy cows: A pilot study.
      ) reported an increase in BHB after meals due to an increase in conversion of butyrate into BHB in the rumen epithelium (
      • Borrebaek B.
      • Halse K.
      • Tveit B.
      • Dahle H.K.
      • Ceh L.
      Plasma glucose, ketone bodies, insulin, glucagon and enteroglucagon in cows: Diurnal variations related to ketone levels before feeding and to the ketogenic effects of feeds.
      ). Furthermore, patterns of BHB after a meal were similar among parity and stage of lactation, except for a higher overall concentration postpartum during the second lactation. A possible explanation could be related to a higher basal BHB concentration maintained by liver ketogenesis (
      • Nielsen N.I.
      • Ingvartsen K.L.
      • Larsen T.
      Diurnal variation and the effect of feed restriction on plasma and milk metabolites in TMR-fed dairy cows.
      ) and driven by the negative energy balance. Moreover, the concentrations of NEFA and BHB seemed negatively correlated with those of glucose, and consequently insulin, and positively correlated with those of bST.
      All trends and differences among phases reported for metabolic markers were consistent with those observed by
      • Plaizier J.C.
      • Fairfield A.M.
      • Azevedo P.A.
      • Nikkhah A.
      • Duffield T.F.
      • Crow G.H.
      • Bagg R.
      • Dick P.
      • McBride B.W.
      Effects of monensin and stage of lactation on variation of blood metabolites within twenty-four hours in dairy cows.
      in multiparous Holstein cows. Hormonal and intake patterns, also mediated by vagal reflexes (
      • Weekes T.E.C.
      • Godden P.M.M.
      Nutrition and metabolic hormones.
      ), might help explain the metabolic variations. The postprandial peak in insulin concentration was present in all phases, although that postpartum (and to a lesser extent in early lactation) was minimal. The latter is the most complex phase in which insulin secretion is reduced in addition to the tissue sensitivity to its action (
      • De Koster J.D.
      • Opsomer G.
      Insulin resistance in dairy cows.
      ). During the first 2 mo of lactation, an opposite trend in circulating insulin in the afternoon was observed between the 2 lactations. This process occurred during a phase of negative energy balance, particularly during second lactation (
      • Cattaneo L.
      • Piccioli-Cappelli F.
      • Minuti A.
      • Trevisi E.
      Metabolic and physiological adaptations to first and second lactation in Holstein dairy cows.
      ), as supported by the low glucose concentrations. Glucose itself was the only other variable showing differences until early lactation.
      Conversely, bST was much higher in the postpartum phase compared with the other parameters considered, with a peak immediately after the main meal. These results are consistent with the findings of
      • Bradford B.J.
      • Allen M.S.
      Negative energy balance increases periprandial ghrelin and growth hormone concentrations in lactating dairy cows.
      . They suggested that, in cows in negative energy balance (as cows physiologically are in the immediate postpartum period), the postprandial bST surge can be explained by an adaptation mechanism involving increased premeal ghrelin secretion and greater bST response to ghrelin. Another possible explanation might be related to lower insulin concentration (
      • Steyn F.J.
      • Ngo S.T.
      Endocrine rhythms of growth hormone release: Insights from animal studies.
      ), with the variations in the 2 hormones often linked by a negative relationship. A 1-h shift in postprandial bST peak between the 2 lactations and a decline during the first lactation at 12 h occurred, concurrent with the insulin increase. Although the bST surge in this phase was previously reported (
      • Bradford B.J.
      • Allen M.S.
      Negative energy balance increases periprandial ghrelin and growth hormone concentrations in lactating dairy cows.
      ), the difference in the peak between the 2 lactations might have been influenced by the pulsatile secretion of this hormone or the different glycemia.
      Particularly in multiparous cows, the first 2 wk of lactation were confirmed to be crucial to manage the negative energy balance, and feeding strategies have a key role in mitigating this deficit. In the present study, the feeding system used (autofeeders and equal intervals between concentrate and forage distributions) ensured that meals were well distributed through the day, likely enabling a more constant flux of nutrients compared with TMR feeding. Additionally, the gradual increase in dietary concentrates (and energy and protein contents) could improve DMI and energy intake in a critical phase when DMI and gut capacity are limiting factors (
      • Drackley J.K.
      Biology of dairy cows during the transition period: The final frontier?.
      ). In our opinion, cows fed TMR may have more pronounced variations in the metabolic markers investigated, either because of meal frequency or drastic diet change (
      • Eicher R.
      • Liesegang A.
      • Bouchard E.
      • Tremblay A.
      Effect of cow-specific factors and feeding frequency of concentrate on diurnal variations of blood metabolites in dairy cows.
      ;
      • Esposito G.
      • Irons P.C.
      • Webb E.C.
      • Chapwanya A.
      Interactions between negative energy balance, metabolic diseases, uterine health and immune response in transition dairy cows.
      ). Developing alternative feeding systems, either in terms of gradual release of gluconeogenic substrates or feeding frequency after the main meal, might help cows better support the onset of lactation and improve rumen fermentation profile and feed efficiency.

      CONCLUSIONS

      Milk yield and energy balance differ greatly between first and second lactation, resulting in altered metabolic responses. The analysis of plasma markers and hormones during the day not only confirmed the differences observed at the prefeeding state but also provided information about nutrient utilization in different stages of lactation. Our results confirmed that the blood markers of energy (glucose, NEFA, and BHB) and protein (urea) metabolism undergo relevant changes during the lactation cycle. During the second lactation, the more pronounced negative energy balance, which reflects the greater difficulty in guaranteeing an appropriate flux of glucogenic substrates during the day (in particular some hours after the main meal), resulted in exacerbated responses. Regardless of parity, diurnal variations in plasma metabolic markers and hormones investigated were relevant, with large differences throughout the lactation cycle. Therefore, when analyzing metabolic responses in blood, consideration of these changes and sampling time is essential.

      ACKNOWLEDGMENTS

      This study was funded by the Romeo ed Enrica Invernizzi Foundation (Milan, Italy) and supported by the Doctoral School on the Agro-Food System (Agrisystem) of the Università Cattolica del Sacro Cuore (Italy). The authors are grateful to Emeritus Professor Giuseppe Bertoni (Università Cattolica del Sacro Cuore, Piacenza, Italy) for the advice and assistance during the planning and realization of the experiment. The authors have not stated any conflicts of interest.

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      Linked Article

      • Metabolic and physiological adaptations to first and second lactation in Holstein dairy cows
        Journal of Dairy ScienceVol. 106Issue 5
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          Huge differences exist between cow yields and body sizes during their first and second lactations. The transition period is the most critical and investigated phase of the lactation cycle. We compared metabolic and endocrine responses between cows at different parities during the transition period and early lactation. Eight Holstein dairy cows were monitored at their first and second calving during which they were reared under the same conditions. Milk yield, dry matter intake (DMI), and body weight (BW) were regularly measured, and energy balance, efficiency, and lactation curves were calculated.
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