Evidence map›Paper›PMID 42082513›Full record

ArticleScientific reports2026

Comparative metabolomic analysis of antler-derived medicinal materials from red deer and sika deer.

Zhibiao Yu, Zheng Hu, Xuzhong Yang, Yuanmiao Huang, Daiquan Jiang, Zhangfeng Ding, Lei Liang, Yu Shu, Yihao Jiang

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Zhibiao YuSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang, China.
Zheng HuSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang, China.
Xuzhong YangGansu Qilian Mountain Biotechnology Development Co., Ltd., Zhangye, China.
Yuanmiao HuangGansu Qilian Mountain Biotechnology Development Co., Ltd., Zhangye, China.
Daiquan JiangJiangxi University of Traditional Chinese Medicine, Nanchang, China.
Zhangfeng DingSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang, China.
Lei LiangSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang, China.
Yu ShuSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang, China.
Yihao JiangSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang, China. jiangyihao@ncu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a TM widely-targeted metabolomics approach was employed to systematically characterize endogenous metabolites in the antlers(ANT), velvet antler(PA), and antler base(SDAB) of sika deer and red deer. A total of eighteen samples were selected and divided into six groups for metabolomic profiling. Based on ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS), metabolic features were comprehensively identified by combining untargeted metabolite screening with a self-constructed database from MWE, leading to the detection of 2,361 metabolites. Multivariate statistical analyses, including PCA (principal component analysis) and OPLS-DA (orthogonal partial least squares-discriminant analysis), were applied to investigate metabolic differences among tissues and between species. The results revealed significant tissue-specific metabolic profiles, particularly in antler tips, as well as species-specific differences between sika and red deer. Multiple differentially abundant metabolites were identified and predominantly enriched in pathways related to ABC transporters, glycerophospholipid metabolism, and nucleotide metabolism. These findings reveal distinct metabolic profiles associated with antler-derived materials and provide a scientific foundation for quality assessment, species discrimination, and biocompound discovery.It should be noted that this study has limitations, including a small sample size (n = 3 per group) and the geographical separation of sample sources. Future studies with larger cohorts and controlled environments are needed to validate these findings.

Indexed as

AntlersDeerMetabolomeMetabolomicsAnimalsChromatography, High Pressure LiquidPrincipal Component AnalysisTandem Mass SpectrometryDifferential metabolitesRed deerSika deerTissue specificityTM wide-target metabolomics

Identifiers

PMID42082513
PMCPMC13333806

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.