Evidence map›Paper›PMID 42298631›Full record

ArticleJournal of translational medicine2026

Cross-kingdom microbial associations characterize responsiveness to fecal microbiota transplantation in patients with irritable bowel syndrome.

Qiulong Yan, Min Li, Guangyang Wang, Aiqin Zhang, Yuming Li, Ruochun Guo, Yue Zhang, Wei Yang, Yidi Zhang, Xiaohua Liu and 12 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 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
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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

22 authors.

Qiulong Yan *Center for Microbiome Medicine, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510900, China. qiulongy1988@163.com.ORCID 0000-0002-2697-4562
Min Li *Center for Microbiome Medicine, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510900, China.
Guangyang Wang *Department of Pathology, Central Hospital of Dalian University of Technology, Dalian, 116033, China.
Aiqin Zhang *Center for Microbiome Medicine, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510900, China.
Yuming Li *School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Hospital for Skin Diseases, Shandong First Medical University, Shandong Provincial Institute of Dermatology and Venereology, Jinan, 250022, China.
Ruochun GuoCenter for Microbiome Medicine, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510900, China.
Yue ZhangPuensum Genetech Institute, Wuhan, 430076, China.
Wei YangPuensum Genetech Institute, Wuhan, 430076, China.
Yidi ZhangDepartment of Rheumatology and Immunology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550001, China.
Xiaohua LiuCenter for Microbiome Medicine, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510900, China.
Xin LiDepartment of Microbiology, Department of Biochemistry and Molecular Biology, College of Basic Sciences, Dalian Medical University, Dalian, 116044, China.
Ning ZhengCenter for Microbiome Medicine, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510900, China.
Leyi WangDepartment of Gastroenterology, Loudi Central Hospital, Loudi, 417000, China.
Shao FanCenter for Microbiome Medicine, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510900, China.
Renzhen MaCenter for Microbiome Medicine, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510900, China.
Tong LuCenter for Microbiome Medicine, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510900, China.
Shan ZhouCenter for Microbiome Medicine, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510900, China.
Tianyu GuanDepartment of Microbiology, Department of Biochemistry and Molecular Biology, College of Basic Sciences, Dalian Medical University, Dalian, 116044, China.
Guorui XingPuensum Genetech Institute, Wuhan, 430076, China.
Shenghui LiPuensum Genetech Institute, Wuhan, 430076, China.
Liang WangNational Joint Engineering Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China. wangliang@dmu.edu.cn.
Yanxia LiDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China. liyanxia001@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrecise outcome prediction for fecal microbiota transplantation (FMT) in irritable bowel syndrome (IBS) remains a clinical challenge. The roles of the gut virome and its interplay with bacteria in FMT efficacy are particularly underexplored. This secondary analysis aimed to conduct an exploratory, hypothesis-generating investigation into these cross-kingdom dynamics.

methodsWe conducted a secondary, integrative analysis of a published cohort, performing longitudinal, cross-kingdom metagenomic profiling on 83 samples from 22 IBS patients and healthy donors. We integrative approach combined microbial diversity, species-specific biomarker identification, bacterial-viral associated networks, and exploratory random forest modeling to identify microbial features associated with FMT outcomes.

resultsIBS patients showed higher bacterial and viral alpha diversity than donors. Cross-kingdom profiling identified 223 bacterial and 724 viral biomarkers. Donor-enriched biomarkers were predominantly health-associated Bacteroidetes (e.g., B. ovatus, B. faecis), whereas pre-FMT-enriched biomarkers were largely Firmicutes (e.g., B. obeum) with potential pathobiont roles. The Effect and No effect groups displayed different microbial trajectories. Although both groups shifted toward a donor-like composition initially, only responders maintained a stable donor-like ecology throughout the 12-month follow-up, supported by more resilient bacterial-viral association networks. Exploratory random forest modeling highlighted microbial features, such as R. pickettii, with high relative importance for outcome discrimination. However, permutation testing (p = 0.548-0.616) confirmed that model performance on this small cohort did not exceed chance level, underscoring the risk of overfitting and the exploratory nature of these computational findings.

conclusionsThis integrative re-analysis provides preliminary evidence that cross-kingdom gut microbiome profiles are strongly associated with FMT outcomes in IBS. Successful outcomes appear linked to sustained donor-like remodeling and stable bacterial-viral networks. Our findings are primarily hypothesis-generating and offer a framework of candidate biomarkers for future validation in larger cohorts. This work underscores the necessity of external validation to develop robust, microbiome-based tools for personalized FMT therapy.

Indexed as

Fecal Microbiota TransplantationIrritable Bowel SyndromeBacteriaBiomarkersFecesHumansTreatment OutcomeBiomarkersFecal microbiota transplantation (FMT)Gut microbiomeGut viromeIrritable bowel syndrome (IBS)Treatment outcomes

Identifiers

PMID42298631
PMCPMC13505095

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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.