Evidence map›Paper›PMID 40296126›Full record

ArticleDiabetology & metabolic syndrome2025

Analysis of causal effects on metabolic syndrome and inflammatory bowel disease: a Mendelian randomization study.

Danyang Zhang, Haitao Shi, Chongcao Wei, Fenrong Chen, Pan Zhang, Xin Gao, Yan Wang

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 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.

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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

7 authors.

Danyang ZhangDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 of Xiwu Road, Xi'an, Shaanxi, 710004, China.
Haitao ShiDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 of Xiwu Road, Xi'an, Shaanxi, 710004, China.
Chongcao WeiDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 of Xiwu Road, Xi'an, Shaanxi, 710004, China.
Fenrong ChenDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 of Xiwu Road, Xi'an, Shaanxi, 710004, China.
Pan ZhangDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 of Xiwu Road, Xi'an, Shaanxi, 710004, China.
Xin GaoDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 of Xiwu Road, Xi'an, Shaanxi, 710004, China.
Yan WangDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 of Xiwu Road, Xi'an, Shaanxi, 710004, China. sarrye@163.com.ORCID https://orcid.org/0000-0003-3192-0400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is a conglomerate of metabolic abnormalities including hypertension, obesity, hyperglycemia, hypertriglyceridemia, and low levels of high-density lipoprotein cholesterol (HDL-C). The relationship between MetS and Inflammatory Bowel Disease (IBD) has received a lot of attention lately. Epidemiological investigation has yet to determine if the two illnesses are causally related. To investigate the causal link between IBD and MetS levels, we screened publically available genome-wide association study (GWAS) data using Mendelian randomization (MR) analysis. The study aimed to comprehensively analyze the causal association of each component of MetS, including fasting blood glucose(FBG), HDL-C, triglyceride(TG), waist circumference(WC), and hypertension, on the risk of IBD and its subtypes via univariate, two-way, and multivariate MR (MVMR) methods.

methodsWe selected independent genetic variants of MetS and IBD as instrumental variables (IVs) from published data from the IEU OpenGWAS project and IIBDGC (International Inflammatory Bowel Disease Genetic Consortium), used MR to infer potential causal effects between them, and used a variety of methods (random effect inverse variance weighting (IVW), weighted median, MR-Egger regression, etc.) to ensure the robustness of causal effects.

resultsUnivariate two-sample MR (TSMR) revealed that WC was significantly linked to the risk of Crohn's disease (CD) (OR = 1.659; 95% CI: 1.144-2.405; p = 0.008) and IBD (OR = 1.383; 95% CI: 1.050-1.822; p = 0.021). However, MVMR did not support this finding. In MVMR analysis, hypertension was predicted to be positively associated with the risk of IBD (OR = 2.322516, 95% CI: 1.097713-4.91392, p = 0.0275365), whereas FBG was confirmed to reduce the risk of CD in MVMR studies (OR = 0.4346427, 95% CI: 0.2685399-0.7034868, p = 0.0006948939). Other elements of the MetS did not significantly correlate with IBD.

conclusionAlthough confounding factors cannot be completely ruled out, certain metabolic components, such as WC, may impact the risk of IBD. In addition to highlighting the need for more research to understand the underlying mechanisms and potential indirect effects between MetS components and IBD, this research offers insight into therapeutic treatment decisions for patients with IBD and MetS.

Indexed as

Inflammatory bowel diseaseMendelian randomizationMetabolic syndrome

Identifiers

PMID40296126
PMCPMC12036182

What Socratic holds

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LicenceCC BY-NC-ND
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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.