Evidence mapPaperPMID 41527025Full record

ArticleBMC microbiology2026

Potential host-gut microbiota-metabolite associations in cardiorenal syndrome progression: a multi-omics integrative analysis.

Chongyou Rao, You Zhou, Lifan Han, Pei Li, Aoyi Geng, Qin Zhong, Jian Zhou, Kunlun He, Feihu Zhou

Abstract read
In one paragraph

Article in BMC 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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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

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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

9 authors.

Chongyou Rao *Department of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
You Zhou *Department of Cardiology, the First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China.
Lifan Han *Medical Big Data Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Pei LiMedical Big Data Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Aoyi GengKey Laboratory of Major Brain Disease and Aging Research (Ministry of Education), Institute for Brain Science and Disease, Chongqing Medical University, Chongqing, 400016, China.
Qin ZhongDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Jian ZhouDepartment of General Practice, Affiliated Hospital of Chengde Medical University, Chengde, 067000, China.
Kunlun HeMedical Big Data Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China. kunlunhe@plagh.org.
Feihu ZhouDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China. feihuzhou301@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coexistence of heart failure (HF) and renal insufficiency, termed cardiorenal syndrome (CRS), significantly increases mortality in HF patients. Although gut microbiota-host metabolic interactions contribute to the pathology of both conditions, their regulatory mechanisms in CRS remain unclear.

methodsThis cross-sectional study enrolled 451 subjects from two medical institutions across different regions of China, comprising 155 patients with CRS, 225 with HF alone, and 71 controls. Using integrated metabolomics and 16S rRNA sequencing, we compared 801 serum metabolites, 36,956 microbial amplicon sequence variants, and 14 clinical parameters across the three groups. Additionally, associations between serum metabolites, gut microbiota, and clinical parameters in the HF and CRS groups were analyzed.

resultsCRS patients had significantly higher serum uric acid, creatinine, and N-terminal pro-brain natriuretic peptide (NT-proBNP) levels, along with lower hemoglobin and albumin levels, compared with HF patients (P < 0.05). Serum metabolomics identified 100 upregulated metabolites in CRS vs. HF (q-value < 0.1), including endogenous metabolites (3-hydroxybutanoic acid, L-homocitrulline) and gut-derived uremic toxins (3-methyloxindole, p-cresol). Additionally, the CRS group showed significantly reduced gut microbiota α-diversity compared with HF and controls, along with a trend toward reduction in several taxa with key metabolic functions, including Lachnospiraceae, Faecalibacterium, and Faecalibacterium_prausnitzii. Moreover, these microbial abundances negatively correlated with endogenous or gut-derived metabolites, while metabolite levels positively correlated with cardiorenal function markers (NT-proBNP, creatinine).

conclusionThis multi-omics study reveals a host-gut microbiota-metabolite association network in CRS, linking aberrant metabolites to microbiota dysbiosis and organ-toxic metabolite accumulation. These findings provide novel insights into CRS pathogenesis and potential targeted therapies.

trial registrationClinical trial number: ChiCTR2300071422.

Indexed as

Cardio-Renal SyndromeGastrointestinal MicrobiomeHost Microbial InteractionsAgedBacteriaBiomarkersChinaCross-Sectional StudiesDisease ProgressionFemaleHeart FailureHumansMaleMetabolomicsMiddle AgedMultiomicsBiomarkersNatriuretic Peptide, BrainRNA, Ribosomal, 16SCardiorenal syndromeGut microbiotaMetabolomics

Identifiers

PMID41527025
PMCPMC13011437

What Socratic holds

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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 Socratic graph.