Evidence map›Paper›PMID 40399513›Full record

ArticleScientific reports2025

Bidirectional mendelian randomization assessment of causality between lactate levels and multiple autoimmune diseases.

Hua Fan, Hongna Song, Qizhi Fu, Ganqin Du, Yongjie Bai, Canfei Zhang, Xiaofei Shi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Hua Fan *Office of Research & Innovation, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, No. 25, Jinghua Road, Jianxi District, Luoyang, 471003, Henan, China. fanhua19860208@gmail.com.
Hongna Song *Department of Neuro-auricular vertigo, The Second Affiliated Hospital of Henan, University of Science and Technology, Luoyang, 471003, Henan, China.
Qizhi Fu *Department of Neurology, The First Affiliated Hospital, College of Clinical Medicine of Henan, University of Science and Technology, Luoyang, 471003, Henan, China.
Ganqin DuDepartment of Neurology, The First Affiliated Hospital, College of Clinical Medicine of Henan, University of Science and Technology, Luoyang, 471003, Henan, China.
Yongjie BaiDepartment of Neurology, The First Affiliated Hospital, College of Clinical Medicine of Henan, University of Science and Technology, Luoyang, 471003, Henan, China.
Canfei ZhangDepartment of Neurology, The First Affiliated Hospital, College of Clinical Medicine of Henan, University of Science and Technology, Luoyang, 471003, Henan, China.
Xiaofei ShiDepartment of Rheumatology and Immunology, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, No. 25, Jinghua Road, Jianxi District, Luoyang, 471003, Henan, China. xiaofeis@haust.edu.cn.

Funding

Heluo Young Talents Support Program 2024HLTJ08
6 · The paper itself

Abstract

Bidirectional two-sample Mendelian randomization (MR) was performed to provide genetic evidence for the causal association between multiple sclerosis (MS), type 1 diabetes(T1D), rheumatoid arthritis (RA) and inflammatory bowel disease (IBD), Crohn's disease (CD), systemic lupus erythematosus (SLE), ulcerative colitis (UC) and lactate levels. Inverse variance weighted (IVW), weighted median estimator (WME), weighted mode, and MR-Egger regression were used to assess the potential causal links. Sensitivity analysis included Cochran's Q test for heterogeneity, Steiger test of directionality for directionality, MR-Egger regression, MR pleiotropy residual sum and outlier (MR-PRESSO), and leave-one-out method. MR analysis utilized 510 SNPs associated with seven different kinds of autoimmune diseases and 11 SNPs associated with lactate levels as IVs. No significant genetic association between any autoimmune diseases and lactate levels was discovered by IVW. While IVW revealed no significant associations, exploratory analyses using WME and weighted mode methods identified nominal links between RA/IBD and lactate levels (RA: WME OR = 1.01, P = 0.010; weighted mode OR = 1.01, P = 0.008; IBD: weighted mode OR = 1.01, P = 0.042). These findings, though not surviving FDR correction, warrant further investigation. In reverse MR analysis, there was no significant association between lactate level exposure and any autoimmune disease outcomes. MR-Egger regression indicated potential horizontal pleiotropy in the RA-lactate analysis and Cochran's Q test suggest no absence of heterogeneity. Potential reverse causality in the analysis of SLE as outcomes and lactate levels as exposures was discovered by MR Steiger. Based on limited evidence, Our MR Analysis found a possible genetic causal association between RA and lactate level difference.

Indexed as

Autoimmune DiseasesLactic AcidMendelian Randomization AnalysisGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideLactic AcidAutoimmune diseaseGeneticsLactate levelsMendelian randomizationSingle nucleotide polymorphisms

Identifiers

PMID40399513
PMCPMC12095665

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