Evidence map›Paper›PMID 40515933›Full record

ArticleAMB Express2025

Bidirectional two-sample Mendelian randomization reveals causal link between genetic blood metabolites and tuberculosis.

Zhenyu Shi, Chenyi Zhao, Xiaowen Yu, Dingding Zhao, Yongqiang Li

Abstract read
In one paragraph

Article in AMB Express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Zhenyu Shi *Huaihe Hospital, Henan University, Kaifeng, People's Republic of China.
Chenyi Zhao *Huaihe Hospital, Henan University, Kaifeng, People's Republic of China.
Xiaowen Yu *Chongqing Key Laboratory of Traditional Chinese Medicine to Prevent and Treat Autoimmune Diseases, Chongqing, People's Republic of China.
Dingding ZhaoHuaihe Hospital, Henan University, Kaifeng, People's Republic of China.
Yongqiang LiHuaihe Hospital, Henan University, Kaifeng, People's Republic of China. liyongqiang@vip.henu.edu.cn.

Funding

Henan Provincial Science and Technology Research Project 242102310091
6 · The paper itself

Abstract

Tuberculosis (TB), caused by infectious agent Mycobacterium tuberculosis (Mtb) seriously poses a great threat to health. An array of metabolites generated by metabolic pathways are essential for Mtb pathophysiology. However, a specific causal relationship between TB and human metabolites remains indistinct. This study aimed to investigate the relationship between 1400 metabolites and TB by Mendelian randomization (MR) analysis. In this study, a total of 1400 metabolites were utilized as exposure factors, while TB-related data served as the outcomes. And TwoSampleMR package and R software were adopted to perform this MR analysis. Various regression fitting methods were employed to conduct MR analysis, including inverse variance weighted (IVW), MR-Egger, weighted median, simple mode, and weighted mode. In addition, potential biases arising from linkage disequilibrium and weak instrumental variables were considered. Metabolites that failed to meet the criteria in both the heterogeneity and pleiotropy tests were considered to have no substantial causal influence on the results, ensuring the robustness and reliability of our analysis. IVW analysis showed that six human metabolites exhibited a significant causal influence (P < 0.05) on TB. Among them, dodecanedioate, myristoleate (14:1n5), and 1-(1-enyl-palmitoyl)-2-arachidonoyl-GPE(p-16:0/20:4) demonstrated a strong causally positive effect on TB, indicating that with the increase of these metabolites, TB progressed robustly. Glycerol 3-phosphate, sphingomyelin (d18:1/20:2, d18:2/20:1, and d16:1/22:2), and 2-methylserine were significantly negatively associated with TB, an increase in these metabolites inhibited TB progression. This is the first time to reveal the causal effects of human metabolites on TB through MR, and the metabolites may be potential biomarkers candidate for TB diagnosis, and monitoring these metabolites might have great clinic significance for TB diagnosis and treatment in the future.

Indexed as

Casual effectMendelian randomizationMetabolitesTB

Identifiers

PMID40515933
PMCPMC12167190

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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.