Evidence map›Paper›PMID 42792217›Full record

ArticleAntioxidants (Basel, Switzerland)2026

Guanidinoacetic Acid and Cysteamine Hydrochloride Improve Beef Cattle Growth and Antioxidant Capacity via Fecal Microbiome and Serum Metabolome.

Baoshan Feng, Hongwei Zhang, Jianjun Guo, Meishu Tan, Sen Mao, Bin Yu, Yiran Xu, Yanan Wang, Man Feng, Lianjie Song and 2 more

Abstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Baoshan FengCollege of Animal Science and Technology, Hebei Agricultural University, Baoding 071001, China.
Hongwei ZhangChengde Academy of Agriculture and Forestry Sciences, Chengde 067000, China.
Jianjun GuoChengde Academy of Agriculture and Forestry Sciences, Chengde 067000, China.
Meishu TanChengde Academy of Agriculture and Forestry Sciences, Chengde 067000, China.
Sen MaoChengde Academy of Agriculture and Forestry Sciences, Chengde 067000, China.
Bin YuChengde Academy of Agriculture and Forestry Sciences, Chengde 067000, China.
Yiran XuChengde Academy of Agriculture and Forestry Sciences, Chengde 067000, China.
Yanan WangChengde Academy of Agriculture and Forestry Sciences, Chengde 067000, China.
Man FengChengde Academy of Agriculture and Forestry Sciences, Chengde 067000, China.
Lianjie SongChengde Academy of Agriculture and Forestry Sciences, Chengde 067000, China.
Yinghao ZhouChengde Academy of Agriculture and Forestry Sciences, Chengde 067000, China.
Hongjian XuCollege of Animal Science and Technology, Hebei Agricultural University, Baoding 071001, China.

Funding

the Central Government Guides Local Science and Technology Development Fund Project-Key Technology Integration, Innovation, and Demonstration for Efficient Ecological Beef Cattle Farm-ing 264Z6601G
6 · The paper itself

Abstract

Balancing muscle growth and antioxidant/anti-inflammatory homeostasis is a core requirement for modern beef production. This study investigated whether cysteamine hydrochloride (CSH) co-supplementation with guanidinoacetic acid (GAA) enhances growth and antioxidant status through fecal microbiome and serum metabolome modulation in Simmental beef cattle. A 60-day trial randomly assigned 45 10-month-old cattle to control (CON), GAA-supplemented, and GAA + CSH-supplemented groups (

Indexed as

antioxidant capacitycysteamine hydrochloridefecal microbiomegrowth performanceguanidinoacetic acidserum metabolomics

Identifiers

PMID42792217
PMCPMC13603768

What OpenQuestion holds

Textmetadata
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.