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Longitudinal characterization of fecal amino acid, biogenic amines and amino acid-related metabolites in dairy heifers from birth to first calving

Published online by Cambridge University Press:  12 December 2025

Morteza Hosseini Ghaffari*
Affiliation:
Institute of Animal Science, Physiology Unit, University of Bonn, Bonn, Germany Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
Kira J. Hemmert
Affiliation:
Institute of Animal Science, Physiology Unit, University of Bonn, Bonn, Germany
Constanze Sophie Ostendorf
Affiliation:
Institute of Animal Science, Physiology Unit, University of Bonn, Bonn, Germany
Sven Schuchardt
Affiliation:
Department Bio- and Environmental Analytics, Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany
Christian Koch
Affiliation:
Educational and Research Centre for Animal Husbandry, Hofgut Neumühle, Münchweiler an der Alsenz, Alsenz, Germany
Helga Sauerwein
Affiliation:
Institute of Animal Science, Physiology Unit, University of Bonn, Bonn, Germany
*
Corresponding author: Morteza Hosseini Ghaffari; Email: hosseini-ghaffari@fbn-dummerstorf.de
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Abstract

Metabolomics of faecal samples offers a non-invasive method to monitor gastrointestinal (GI) development and microbial activity in dairy heifers during key physiological transitions. In this longitudinal study, faecal metabolites from 10 Holstein heifers were analyzed from birth to first calving using targeted metabolomics. Faecal samples were collected at 12 h post-birth, week 6 (pre-weaning), week 14 (weaning), 8 months (post-weaning), and at first calving (26 ± 2.3 months). Calves were fed 3.8 L of colostrum within 2 h of birth, followed by 6 L of maternal transition milk for 5 days, then 6 L of milk replacer twice daily. Group housing began at 14 days. Partial least squares discriminant analysis (PLS-DA) showed distinct temporal clustering of faecal metabolites. Heatmap analysis revealed significant metabolite alterations, particularly between pre- and post-weaning stages. A linear mixed-effects model identified significant stage effects for all 17 amino acids. Of the 55 biogenic amines and amino acid-related metabolites, 48 significantly differed across stages. Elevated amino acids and polyamines early in life reflected colostrum intake and immature digestion, decreasing post-weaning, indicating improved nutrient absorption and rumen functionality. Increased microbiota-derived compounds, including β-alanine, serotonin, and indole derivatives, reflected microbial colonization and co-regulation with the host. Elevated dopamine, homocysteine, and phenylethylamine in late gestation indicated neuroactive and redox adaptations. Overall, faecal metabolite profiles provide insights into metabolic remodelling related to nutrition, GI maturation, and reproductive development, highlighting faecal metabolomics as a useful non-invasive tool for monitoring heifer development.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Hannah Dairy Research Foundation.
Figure 0

Figure 1. Schematic representation of the study design and the analytical workflow. (A) Overview of the experimental design and faecal sampling including immediately after birth, pre-weaning (week 6), at weaning (week 14), post-weaning (months 8) and calving (mean age 26 ± 2.3 months). (B) Summary of faecal sampling time points (n = 10 calves), metabolomic profiling using the MxP® Quant 500 kit (Biocrates Life Sciences AG, Innsbruck, Austria), and subsequent analysis by liquid chromatography–electrospray ionization–tandem mass spectrometry (LC-ESI-MS/MS) and statistical data interpretation.

Figure 1

Table 1. Composition of colostrum, transition milk and milk replacer

Figure 2

Table 2. Composition and ingredients of pelleted calf concentrate and total mixed ration

Figure 3

Figure 2. Longitudinal changes in faecal amino acids in dairy heifers. (A) PLS-DA score plot showing distinct clustering at 12 h, week 6, week 14, months 8, and calving. (B) Permutation test confirming model validity.

Figure 4

Figure 3. Longitudinal heatmap of faecal amino acid profiles in dairy heifers from birth to first calving. Normalized metabolite abundance (Z-score) is shown for each sampling time point: after birth (12 h), preweaning (week 6), at weaning (week 14), postweaning (month 8) and at calving. Rows represent individual amino acids; columns indicate developmental stages. Asterisks (*) denote amino acids with significant changes over time (P < 0.05; linear mixed model with post hoc correction). Blue indicates lower, and red higher, relative abundance compared to the mean.

Figure 5

Table 3. P-values for the effect of developmental stage on faecal amino acids, biogenic amines and related metabolites in dairy heifers as determined by linear mixed-effects model

Figure 6

Figure 4. Longitudinal changes in faecal metabolites in dairy heifers. (A) PLS-DA score plot showing distinct clustering at 12 h after birth, week 6, week 14, months 8 and calving. (B) Permutation test confirming model.

Figure 7

Figure 5. Longitudinal heatmap of faecal metabolite profiles in dairy heifers from birth to first calving. Normalized metabolite abundance (Z-score) is shown for each sampling time point: after birth (12 h), pre-weaning (week 6), at weaning (week 14), post-weaning (month 8), and at calving. Rows represent individual metabolites; columns indicate developmental stages. Blue colour represents lower, and red color higher, abundance relative to the mean. Metabolites marked with asterisks (*) show significant changes over time (P < 0.05), # indicates a trend (0.05 < P < 0.10), and "NS" denotes no significant change (P > 0.05) based on linear mixed-effects models with post hoc correction.