Evidence map›Paper›PMID 42376405›Full record

ArticleOpen veterinary journal2026

Breed-specific plasma metabolomic profiles of tropical goats as a basis for precision nutrition.

Ismah Ulfiyah Azis, Athhar Manabi Diansyah, Andi Nimahtul Churriyah, Muhammad Ihsan Andi Dagong, Fahrul Irawan, Erni Damayanti, Masturi Masturi, Rusli Fidriyanto, Tulus Maulana, Aeni Nurlatifah and 1 more

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Article in Open veterinary journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ismah Ulfiyah AzisFaculty of Animal Science, Hasanuddin University, Makassar, Indonesia.
Athhar Manabi DiansyahFaculty of Animal Science, Hasanuddin University, Makassar, Indonesia.
Andi Nimahtul ChurriyahDepartment of Animal Science, Faculty of Agriculture, Lambung Mangkurat University, Banjarmasin, Indonesia.
Muhammad Ihsan Andi DagongFaculty of Animal Science, Hasanuddin University, Makassar, Indonesia.
Fahrul IrawanFaculty of Animal Science, Hasanuddin University, Makassar, Indonesia.
Erni DamayantiFaculty of Animal Science, Hasanuddin University, Makassar, Indonesia.
Masturi MasturiFaculty of Animal Science, Hasanuddin University, Makassar, Indonesia.
Rusli FidriyantoResearch Center for Applied Zoology, National Research and Innovation Agency, Cibinong, Indonesia.
Tulus MaulanaResearch Center for Applied Zoology, National Research and Innovation Agency, Cibinong, Indonesia.
Aeni NurlatifahFaculty of Animal Science, Gadjah Mada University, Yogyakarta, Indonesia.
Sitti NurhalizaFaculty of Mathematics and Natural Science, Tadulako University, Palu City, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The productivity of goats in the tropics is largely hampered by low feeding efficiency and inefficient nutrient utilization. Understanding the breed-specific metabolic response is essential for developing a feeding strategy under low environmental conditions. Metabolomics provides a systemic approach to identifying metabolic changes that would not be detected by conventional biochemical markers. Aim: This study aimed to identify breed-specific metabolic differences among tropical goat breeds and identify potential nutritional biomarkers for precision feeding. Methods: An integrated biochemical and Gas Chromatography-Mass Spectrometry (GC-MS)-based metabolomic profiling approach was used in Kacang, Etawa crossbred, and Saanen goats ( Results: A distinct breed-specific clustering and metabolite patterns characterized the two biotic groups of Saanen goats, which were characterized by enriched carbohydrate-related metabolites, including sorbitol and D-xylose, potentially reflecting increased energy turnover associated with high milk production potential. Compared with the Etawa crossbred goat, the kacang goat (L-alanine), L-isoleucine, L-methionine etc were higher suggesting that glucoseand alanine -aspartate- glutamate metabolism pathway was a predominant pathway supporting energy regulation and protein turnover. Conclusion: This study revealed clear breed-specific plasma metabolomic profiles among Kacang, Etawa crossbred, and Saanen goats, highlighting distinct carbohydrate- and amino acid-related pathways that underlie differences in energy and protein metabolism. These findings yield preliminary candidate plasma metabolites linked to feed efficiency and environmental adaptation, providing a basis for precision nutrition strategies to improve productivity and sustainability in tropical goat farming.

Indexed as

Animal Nutritional Physiological PhenomenaGoatsMetabolomeAnimal FeedAnimalsBiomarkersFemaleGas Chromatography-Mass SpectrometryMetabolomicsSpecies SpecificityTropical ClimateBiomarkersGoat breedsNutritional biomarkersPathway enrichmentPlasma metabolomicsPrecision nutrition

Identifiers

PMID42376405
PMCPMC13314153

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.