Evidence map›Paper›PMID 42254500›Full record

ArticleFrontiers in microbiology2026

Systems-level investigation of the anxiolytic gut-brain interactions induced by paraprobiotic

Azusa Kubota, Liqing Zang, Takuro Shinkai, Misa Nakai, Atsushi Tajima, Yasuhito Shimada

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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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

6 authors.

Azusa KubotaDepartment of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa, Japan.
Liqing ZangGraduate School of Regional Innovation Studies, Mie University, Tsu, Japan.
Takuro ShinkaiGraduate School of Regional Innovation Studies, Mie University, Tsu, Japan.
Misa NakaiGraduate School of Regional Innovation Studies, Mie University, Tsu, Japan.
Atsushi TajimaDepartment of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa, Japan.
Yasuhito ShimadaZebrafish Research Center, Mie University, Tsu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Anxiety disorders are among the most prevalent mental health conditions worldwide, and interest in psychobiotics-live or inactivated microorganisms that beneficially modulate the microbiota-gut-brain axis-is increasing. Heat killed Methods: Adult male AB-strain zebrafish were fed a diet containing heat killed SBC8803 for 4 weeks, and anxiety-like behavior was evaluated using the novel tank test. To explore the underlying mechanisms, we performed brain RNA sequencing and V3-V4 region of 16S rRNA amplicon sequencing of intestinal contents, followed by integrative multi omics analyses, including Gene Set Variation Analysis (GSVA) combined with DIABLO-based data integration and residual correlation analysis. Results: SBC8803-treated fish exhibited a shorter latency to enter the upper half of the tank and more frequent entries into this region, consistent with reduced anxiety-like behavior. Brain transcriptomic profiling identified differentially expressed genes and enrichment of serotonin receptor, CREB, and oxytocin signaling pathways, suggesting enhanced monoaminergic and plasticity-related signaling. Microbiome functional prediction indicated SBC8803-associated shifts in lipid and vitamin metabolism, including pathways related to riboflavin (vitamin B2) and tryptophan. GSVA combined with DIABLO-based data integration revealed coordinated changes between microbial metabolic and brain signaling pathways, consistent with a vitamin B-serotonin-anti-inflammatory axis linking gut metabolism to neural regulation. Furthermore, residual correlation analysis showed innate gut-brain coordination independent of the SBC8803 effect, such as the coupling between brain arachidonic acid and gut histidine metabolism. Discussion: These findings support the biological validity of the SBC8803 administration-associated interactions observed in the multi-omics analyses. These findings suggest that the paraprobiotic SBC8803 may exert anxiolytic-like effects in zebrafish and reshape gut-brain network states at behavioral, microbial, and transcriptomic levels, providing a potential mechanistic framework for considering heat killed SBC8803 as a candidate psychobiotic for anxiety-related conditions.

Indexed as

Danio reriohost-microbe interactionsPICRUSt2RNA-seqteleost model

Identifiers

PMID42254500
PMCPMC13233490

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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.