Evidence map›Paper›PMID 42098876›Full record

ArticleMicrobiome2026

Proanthocyanidins inhibit methane emissions by interacting with methyl-coenzyme M reductase and reshaping rumen microbiome function.

Zihao Liu, Yuming Guo, Li Xiao, Jian Guo, Yuxuan Chen, Hui Wang, Xuemei Nan, Mengting Zhou, Fan Zhang, Yue He and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiome, 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

17 authors.

Zihao LiuState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Yuming GuoState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Li XiaoState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Jian GuoState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Yuxuan ChenState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Hui WangState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xuemei NanState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Mengting ZhouState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Fan ZhangState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Yue HeState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Zhixue YuState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Rong WangState Key Laboratory of Forage Breeding-By-Design and Utilization, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, 410125, China.
Zhuqing RenDepartment of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.
Jian WuDepartment of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.
Min WangState Key Laboratory of Forage Breeding-By-Design and Utilization, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, 410125, China. mwang@isa.ac.cn.
Xiangfang TangState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. tangxiangfang@caas.cn.
Benhai XiongState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. xiongbenhai@caas.cn.

Funding

Innovation Program of Chinese Academy of Agricultural Sciences CAAS-CSSAE-202402Integrated Demonstration of Scalable and Efficient Healthy Breeding for Cattle and Sheep 2022YFD1301100National Key R&D Program of China 2023YFD2000701National Key R&D Program of China 2023YFD2000703National Natural Science Foundation of China 32525054
6 · The paper itself

Abstract

backgroundEnteric methane (CH

resultsMolecular docking of 3,900 phytochemicals identified proanthocyanidins (PAC) as top candidate, exhibiting strong predicted affinity to the MCR active site (-8.150 kcal/mol). In vitro rumen fermentation assays showed that PAC supplementation reduced CH

conclusionsThis study provides integrated computational, microbial, and physiological evidence that PAC supplementation can reduce enteric CH

Indexed as

Gastrointestinal MicrobiomeMethaneOxidoreductasesProanthocyanidinsRumenAnimalsCattleDietary SupplementsFemaleFermentationLactationMolecular Docking SimulationMethanemethyl coenzyme M reductaseOxidoreductasesProanthocyanidinsDairy cowsEnteric methane reductionGrape seed extractMicrobial nitrogen metabolismProanthocyanidinsRumen fermentation

Identifiers

PMID42098876
PMCPMC13281618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.