Evidence map›Paper›PMID 40859402›Full record

ArticleGut pathogens2025

Associations between gut microbiome and circulating cytokines: a cross-sectional analysis in the FINRISK 2002 population cohort.

Hassan Diab, Ville Langén, Li-Fang Yeo, Veikko Salomaa, Aki Havulinna, Leo Lahti, Katariina Pärnänen, Rob Knight, Sirpa Jalkanen, Marko Salmi and 2 more

Abstract read
In one paragraph

Article in Gut pathogens, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Gut microbial allies and adversaries in SARS-CoV-2 infection.Current research in microbial sciences · 2026
    Article
  2. Higher abundance ofmSystems · 2026
    Article
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

12 authors.

Hassan DiabDivision of Medicine, Turku University Hospital, Turku, Finland. hassan.h.diab@utu.fi.
Ville LangénDivision of Medicine, Turku University Hospital, Turku, Finland.
Li-Fang YeoDivision of Medicine, Turku University Hospital, Turku, Finland.
Veikko SalomaaDepartment of Public Health, Finnish Institute for Health and Welfare, Helsinki, Finland.
Aki HavulinnaDepartment of Public Health, Finnish Institute for Health and Welfare, Helsinki, Finland.
Leo LahtiDepartment of Computing, University of Turku, Turku, Finland.
Katariina PärnänenDepartment of Computing, University of Turku, Turku, Finland.
Rob KnightDepartment of Pediatrics, University of California San Diego, La Jolla, San Diego, CA, USA.
Sirpa JalkanenMediCity Research Laboratory, University of Turku, Turku, Finland.
Marko SalmiMediCity Research Laboratory, University of Turku, Turku, Finland.
Teemu Niiranen *Division of Medicine, Turku University Hospital, Turku, Finland.
Joonatan Palmu *Division of Medicine, Turku University Hospital, Turku, Finland.

Funding

Research Council of Finland postdoctoral grant [348439]
6 · The paper itself

Abstract

backgroundA growing body of evidence suggests a relationship between gut microbiome and circulating cytokines, yet there is still a lack of large-scale population-based studies investigating gut microbiome-cytokine associations. In this cross-sectional study, we aimed at investigating the associations of gut microbiome (exposure variable) with 45 cytokines and C-reactive protein (CRP) (outcome variables) in the population-based FINRISK 2002 cohort (N = 2,398). Our analyses focused mainly on gut microbiome alpha diversity, beta diversity, differentially abundant taxa, and predicted functions. All statistical models were adjusted for age, sex, BMI, diabetes, and smoking.

resultsUsing linear modeling, we identified an inverse association of the gut microbial alpha diversity (Shannon index) with CRP (β=-0.062 ± 0.019/standard deviation (SD), False Discovery Rate adjusted p-value (FDR-P) = 0.025), interleukin-8 (IL-8) (β=-0.066 ± 0.021/SD, FDR-P = 0.025), and interferon-γ-inducible protein 10 (IP-10) (β=-0.063 ± 0.02/SD, FDR-P = 0.025). For beta diversity, linear modeling revealed that the first axis of Principal Component Analysis (PCA) describing the most strongly varying parts of the microbial community composition across population was inversely associated with CRP (β=-0.071 ± 0.019/SD, FDR-P = 0.008) and the second axis was inversely associated with macrophage inflammatory protein-1β (MIP-1B) (β=-0.082 ± 0.021/SD, FDR-P = 0.008), and monokine induced by interferon-γ (MIG) (β=-0.071 ± 0.019/SD, FDR-P = 0.008). The majority of the top taxa contributing to the first and second PCA axes belonged to class Bacilli (7/10) and class Gammaproteobacteria (9/10), respectively. In addition to this, we detected 8 significant associations of specific gut microbiome taxa (species-level) with cytokines and CRP using linear models. The majority of significant taxa belonged to class Clostridia_258483 (5/8) and class Bacteroidia (2/8). We did not detect any significant associations between species-specific predicted MetaCyc pathways (using all prevalent pathways) and cytokines or CRP. When analysis was limited to pathways associated with significant species only, we observed a positive association between purine synthesis predicted pathways in B. thetaiotaomicron and CRP.

conclusionsTaken together, these results show that CRP, MIP-1B, IL-8, and other cytokines are associated with gut microbial diversity and composition, as well as specific taxa. This could lay the groundwork for future experimental studies to assess the causality of these associations.

Indexed as

C-reactive proteinCytokinesGut microbiome

Identifiers

PMID40859402
PMCPMC12379326

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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.