Evidence map›Paper›PMID 41472769›Full record

ArticleVeterinary world2025

Integrative metabolomics and hormonal profiling reveal biomarkers of milk yield efficiency in Sapera dairy goats under tropical conditions.

Rohmiyatul Islamiyati, Ismah Ulfiyah Azis, Ichlasul Amal, Muhammad Ridwan Bahar, Syahriana Sabil, Santoso Santoso, Faheem Ahmad Khan, Aeni Nurlatifah, Athhar Manabi Diansyah, Fahrul Irawan and 1 more

Abstract read
In one paragraph

Article in Veterinary world, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Rohmiyatul IslamiyatiDepartment of Feed and Animal Nutrition, Faculty of Animal Science, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Ismah Ulfiyah AzisDepartment of Feed and Animal Nutrition, Faculty of Animal Science, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Ichlasul AmalDepartment of Animal Feed Technology, Faculty of Vocational Study, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Muhammad Ridwan BaharDepartment of Animal Feed Technology, Faculty of Vocational Study, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Syahriana SabilDepartment of Animal Production, Faculty of Animal Science, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Santoso SantosoDepartment of Transfusion Medicine and Clinical Microbiology, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Faheem Ahmad KhanDepartment of Transfusion Medicine and Clinical Microbiology, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Aeni NurlatifahDepartment of Nutrition and Feed Technology, Faculty of Animal Science, Gadjah Mada University, Yogyakarta, Indonesia.
Athhar Manabi DiansyahDepartment of Animal Production, Faculty of Animal Science, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Fahrul IrawanDepartment of Feed and Animal Nutrition, Faculty of Animal Science, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Erni DamayantiDepartment of Animal Production, Faculty of Animal Science, Hasanuddin University, Makassar, South Sulawesi, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Milk yield variability in tropical dairy goats is driven not only by nutrition but also by complex metabolic and hormonal regulation. Conventional nutrition studies often overlook the physiological mechanisms underlying lactation efficiency. This study aimed to integrate metabolomic and hormonal analyses to identify biomarkers associated with high and low milk yield performance in Sapera goats. It provides the first untargeted ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS)-based metabolomics characterization linking metabolic and endocrine profiles to lactational efficiency in tropical dairy systems. Materials and Methods: Twenty lactating Sapera goats were categorized into two groups: High-yielding (HY) (>1000 mL/day) and low-yielding (LY) (≤1000 mL/day). All animals were fed identical diets formulated according to National Research Council (2007) standards and managed under uniform housing conditions. Milk composition, blood metabolites (glucose, cholesterol, total protein, and triglycerides), and plasma hormones (leptin and insulin-like growth factor-1) were quantified using colorimetric and enzyme-linked immunosorbent assay assays. Untargeted metabolomics of milk samples was performed using UHPLC-HRMS. Metabolites were identified through multi-database annotation, and statistical comparisons were conducted using independent t-tests with p < 0.05. Results: Milk composition did not differ significantly between groups (p > 0.05). However, HY goats exhibited higher glucose and cholesterol concentrations and lower leptin levels (2.39 ± 0.42 ng/mL vs. 3.00 ± 0.44 ng/mL). Metabolomic analysis identified 213 metabolites, 19 unique to HYs, 28 to LYs, and 166 metabolites were found in both groups. HY goats showed enrichment of metabolites linked to lipid metabolism, membrane synthesis, and antioxidant defense (e.g., uric acid and phosphoserine derivatives), while LY goats displayed compounds indicative of metabolic stress and detoxification load (e.g., glycocholic acid and 3-furoic acid). Integrative correlation mapping revealed coordinated regulation between blood and milk metabolites in HY animals. Conclusion: HY and LY goats possess distinct metabolic and hormonal signatures despite similar milk composition. Identified biomarkers such as uric acid and glycerophosphoserine highlight pathways supporting efficient nutrient utilization and milk synthesis. These findings provide a foundation for precision feeding and biomarker-guided selection strategies to enhance productivity and sustainability in tropical dairy goat systems.

Indexed as

biomarkersgoat milkinsulin-like growth factor-1leptinmetabolomicsprecision nutritionSapera breedultra-high-performance liquid chromatography–high-resolution mass spectrometry

Identifiers

PMID41472769
PMCPMC12745071

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.