Evidence map›Paper›PMID 42046775›Full record

ReviewInternational journal of food science2026

Modern Advances in Velvet Antler Research: From Identification Methods to Pharmacological Mechanisms.

Maodie Zhang, Xiaopeng Liu, Ning Jiang

Abstract readReview
In one paragraph

Review in International journal of food science, 2026. 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. Review
  2. Review
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

3 authors.

Maodie ZhangHubei Key Laboratory of Biologic Resources Protection and Utilization, Hubei Minzu University, Enshi, 445000, China, hbmy.edu.cn.ORCID https://orcid.org/0009-0009-7823-7925
Xiaopeng LiuHubei Key Laboratory of Biologic Resources Protection and Utilization, Hubei Minzu University, Enshi, 445000, China, hbmy.edu.cn.ORCID https://orcid.org/0000-0001-5859-1550
Ning JiangHubei Key Laboratory of Biologic Resources Protection and Utilization, Hubei Minzu University, Enshi, 445000, China, hbmy.edu.cn.ORCID https://orcid.org/0009-0008-0830-8567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Velvet antler, a valued traditional medicine of animal origin, contains an abundance of bioactive compounds including amino acids, peptides, proteins, and nucleosides. It exhibits notable health-promoting properties such as wound repair, antioxidant activity, and metabolic regulation, making it a high-quality natural ingredient for functional foods and biopharmaceutical applications. Currently, velvet antler has gained widespread global use as a dietary supplement. Nevertheless, challenges remain in species authentication, mechanistic understanding of active constituents, and quality standardization, which impede the modern development and efficient utilization of this resource. This review summarizes recent advances in identification techniques for velvet antler-encompassing traditional, chemical, and molecular methods-analyzes its chemical composition and influencing factors, and explores the potential mechanisms behind its various pharmacological effects. Furthermore, key issues concerning safety evaluation, quality control standardization, and industry regulation are critically discussed. The findings provide a solid theoretical basis for improving the quality consistency and application reliability of velvet antler products, with the aim of promoting the scientific development and global industrialization of velvet antler resources in food science and biomedicine.

Indexed as

bioactivitychemical compositionidentificationpharmacological effectstraditional Chinese medicinevelvet antler

Identifiers

PMID42046775
PMCPMC13110349

What OpenQuestion holds

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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.