Evidence map›Paper›PMID 42827958›Full record

ArticleFrontiers in microbiology2026

Multi-omics profiling identifies intestinal microbial shifts and tissue-specific immunometabolic changes associated with experimental

Luyun Ni, Bo Xian, Feiyang Li, Qiaolin Zou, Jun Du, Jiansheng Lai, Ya Liu

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Article in Frontiers in microbiology, 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

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Luyun NiFisheries Research Institute, Sichuan Academy of Agricultural Sciences (Sichuan Fisheries Research Institute), Chengdu, China.
Bo XianFisheries Research Institute, Sichuan Academy of Agricultural Sciences (Sichuan Fisheries Research Institute), Chengdu, China.
Feiyang LiFisheries Research Institute, Sichuan Academy of Agricultural Sciences (Sichuan Fisheries Research Institute), Chengdu, China.
Qiaolin ZouFisheries Research Institute, Sichuan Academy of Agricultural Sciences (Sichuan Fisheries Research Institute), Chengdu, China.
Jun DuFisheries Research Institute, Sichuan Academy of Agricultural Sciences (Sichuan Fisheries Research Institute), Chengdu, China.
Jiansheng LaiFisheries Research Institute, Sichuan Academy of Agricultural Sciences (Sichuan Fisheries Research Institute), Chengdu, China.
Ya LiuFisheries Research Institute, Sichuan Academy of Agricultural Sciences (Sichuan Fisheries Research Institute), Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: Hybrid sturgeons were experimentally challenged with N. seriolae. PBS-injected control fish were sampled at 0 days post-infection (dpi) as the baseline reference, whereas infected fish were sampled at 7 and 14 dpi for microbiome, transcriptome, and metabolome profiling. Full-length Results: Compared with the baseline control group, fish sampled at 7 and 14 dpi showed differences in intestinal bacterial community composition, whereas bacterial alpha diversity did not differ significantly among the three sampled groups. ITS profiling also showed differences in fungal diversity and community composition among groups, although no fungal genus remained significant after false discovery rate (FDR) correction. RNA-seq revealed tissue-specific transcriptional responses, with the liver showing a larger number of differentially expressed genes than the spiral valve intestine. Hepatic pathways were mainly related to immune recognition, complement and coagulation cascades, antigen processing, and stress-related responses, whereas intestinal transcriptional changes involved phagosome, cell adhesion, and mucosal immune-related pathways. Metabolomic analysis showed tissue- and stage-related metabolic changes, with clearer pathway-level evidence in the spiral valve intestine at 14 dpi, particularly involving amino acid metabolism and protein digestion and absorption. Representative metabolites related to lipid and bile acid metabolism, carnitine-associated lipid utilization, energy metabolism, and purine/nicotinamide metabolism also showed sampling-stage-related variation. Genus-metabolite association analysis further identified candidate relationships between intestinal bacterial genera and representative metabolites. Discussion: These findings provide a multi-omics view of intestinal microbial and tissue-specific immunometabolic changes associated with experimental N. seriolae challenge in hybrid sturgeon. The candidate genus-metabolite relationships provide a basis for future targeted validation of microbial and metabolic features associated with nocardial infection.

Indexed as

hybrid sturgeonimmunometabolismintestinal microbiotametabolomeNocardia seriolaetranscriptome

Identifiers

PMID42827958
PMCPMC13631057

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