Evidence map›Paper›PMID 40489851›Full record

ArticleMedicine2025

Causal mediation of plasma metabolomics in pancreatitis: A Mendelian randomization study.

Yuge Gao, Jia Mi

Abstract read
In one paragraph

Article in Medicine, 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. Article
  2. 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

2 authors.

Yuge GaoChangchun University of Chinese Medicine, Changchun, Jilin, China.
Jia MiAffiliated Hospital, Changchun University of Chinese Medicine, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatitis frequently leads to hospital stay for digestive system disorders and is in high demand for treatment. To identify possible treatment targets, we utilized Mendelian randomization (MR) to investigate the potential causal effects of metabolites on the outcomes of pancreatitis and examined the intermediary roles of risk factors associated with pancreatitis. We gathered GWAS data on 1091 plasma metabolites and 319 metabolite ratios, along with risk factors and phenotypes associated with pancreatitis and its subtypes. Risk factors included H, T2DM, body mass index (BMI), HLP, cholelithiasis, and Inflammatory bowel disease (IBD). Phenotypic outcomes encompassed acute pancreatitis (AP), chronic pancreatitis, alcohol-induced acute pancreatitis, and alcohol-induced chronic pancreatitis. To test the robustness of the findings, we estimated causality using inverse-variance-weighted MR complemented by sensitivity analyses. Additionally, we performed reverse MR analysis to explore potential reverse causality. This study identified 53 plasma metabolites and 22 metabolite ratios predicted by genetics that were significantly associated with pancreatitis (P < .05). Additionally, 54 metabolite ratios and 193 metabolites were associated with pancreatitis risk factors, with 86 and 27 metabolites, respectively, showing significant associations. The MR analysis confirmed that BMI, IBD, and HLP as pancreatitis risk factors (P < .05). It was also revealed that BMI and IBD mediate the relationship between certain metabolite levels and pancreatitis. The identified metabolites and their ratios have the potential to serve as circulating biomarkers with promising applications in CP screening and prevention strategies.

Indexed as

MetabolomicsPancreatitisBiomarkersBody Mass IndexGenome-Wide Association StudyHumansMendelian Randomization AnalysisRisk FactorsBiomarkersgenome-wide association study (GWAS)mediationMendelian randomizationmetabolite ratiosmetabolitesrisk factors

Identifiers

PMID40489851
PMCPMC12151046

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.