Evidence map›Paper›PMID 42761470›Full record

ArticleFood chemistry: X2026

Comparative multi-omics analysis of microbial succession, metabolite profiles, and antioxidant properties in fermented black and yellow highland barley.

Mengru Han, Hanghang Hou, Honglu Wang, Miaomiao Zhang, Xinyu Tang, Xirong Zhou, Meijin Liu, Changshou Ma, Qinghua Yang, Baili Feng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food chemistry: X, 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

10 authors.

Mengru HanCollege of Agronomy, Northwest A&F University, State Key Laboratory of Crop Stress Biology in Arid Areas, Yangling 712100, China.
Hanghang HouCollege of Agronomy, Northwest A&F University, State Key Laboratory of Crop Stress Biology in Arid Areas, Yangling 712100, China.
Honglu WangCollege of Agronomy, Northwest A&F University, State Key Laboratory of Crop Stress Biology in Arid Areas, Yangling 712100, China.
Miaomiao ZhangCollege of Agronomy, Northwest A&F University, State Key Laboratory of Crop Stress Biology in Arid Areas, Yangling 712100, China.
Xinyu TangCollege of Agronomy, Northwest A&F University, State Key Laboratory of Crop Stress Biology in Arid Areas, Yangling 712100, China.
Xirong ZhouGannan Tibetan Autonomous Prefecture Agricultural Science Research Institute, Hezuo 747000, China.
Meijin LiuGannan Tibetan Autonomous Prefecture Agricultural Science Research Institute, Hezuo 747000, China.
Changshou MaHaibei Tibetan Autonomous Prefecture Agriculture and Animal Husbandry Integrated Service Center, Haibei 812200, China.
Qinghua YangCollege of Agronomy, Northwest A&F University, State Key Laboratory of Crop Stress Biology in Arid Areas, Yangling 712100, China.
Baili FengCollege of Agronomy, Northwest A&F University, State Key Laboratory of Crop Stress Biology in Arid Areas, Yangling 712100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colored highland barley is rich in bioactive compounds, but fermentation-associated links among microbes, metabolites, and antioxidant properties remain unclear. Black (BHB) and yellow highland barley (YHB) were comparatively fermented using microbial profiling, non-volatile metabolomics, and antioxidant assays. Both cultivars showed reduced microbial diversity, lactic acid bacterial enrichment, fungal dominance by

Indexed as

Antioxidant capacityColored highland barleyFermentationMicrobial community successionNon-volatile metabolites

Identifiers

PMID42761470
PMCPMC13586749

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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 OpenQuestion graph.