Evidence map›Paper›PMID 42819450›Full record

ArticleFood chemistry: X2026

Divergent metabolic shifts of lactic acid bacteria strains shape the quality and predicted antioxidant mechanisms of a fermented fish-rice matrix (Yucha).

Jiaqi Wang, Xiaojing Li, Jiaxin Shi, Binbin Wang, Qiwei Liu, Junli Feng, Changlong Liu, Jing Xue, Guofang Shen, Miaoyu Li and 1 more

Abstract read
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.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Jiaqi WangZhejiang Key Laboratory of Food Microbiology and Nutritional Health, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310018, China.
Xiaojing LiZhejiang Key Laboratory of Food Microbiology and Nutritional Health, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310018, China.
Jiaxin ShiZhejiang Key Laboratory of Food Microbiology and Nutritional Health, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310018, China.
Binbin WangZhejiang Key Laboratory of Food Microbiology and Nutritional Health, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310018, China.
Qiwei LiuZhejiang Key Laboratory of Food Microbiology and Nutritional Health, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310018, China.
Junli FengZhejiang Key Laboratory of Food Microbiology and Nutritional Health, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310018, China.
Changlong LiuKey Laboratory for Traceability and Efficacy Research of Genuine Medicinal Materials, Hangzhou Linping Hospital of Traditional Chinese Medicine, Linping, 311106, Zhejiang, China.
Jing XueZhejiang Key Laboratory of Food Microbiology and Nutritional Health, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310018, China.
Guofang ShenHangzhou Institute for Food and Drug Control, Hangzhou 310022, China.
Miaoyu LiCenter for General Practice Medicine, Department of General Practice Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou 310018, China.
Qing ShenZhejiang Key Laboratory of Food Microbiology and Nutritional Health, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functional potential of fish-rice co-fermented high-protein matrices remains difficult to harness because of the unpredictability of spontaneous fermentation. This study employed metabolomics and network pharmacology to decode the metabolic reprogramming orchestrated by three lactic acid bacteria strains. Inoculation rapidly stabilized physicochemical properties and mitigated lipid oxidation. Metabolomic profiling revealed distinct strain-specific metabolite profiles: YC202 was associated with differences in carbohydrate-related metabolites and the antioxidant dipeptide carnosine; YDN29 showed higher abundances of umami-associated amino acids; and FY27 showed higher abundances of selected polyunsaturated fatty acids. In vitro antioxidant assays further showed that LAB inoculation increased chemical antioxidant capacity. Bridging these chemical phenotypes to biological functions, network pharmacology integrated 129 bioactive metabolites with 421 oxidative damage-associated targets. The in silico analysis suggested that the identified metabolites may be associated with antioxidant-related PI3K-Akt and MAPK signaling pathways. These findings may support rational LAB selection for standardized fermented aquatic foods.

Indexed as

Antioxidant activityFood safetyLactic acid bacteriaNetwork pharmacologyUntargeted metabolomicsYucha

Identifiers

PMID42819450
PMCPMC13625886

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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.