Evidence map›Paper›PMID 35704268›Full record

ArticleHepatology international2022

Identification of blood metabolites linked to the risk of cholelithiasis: a comprehensive Mendelian randomization study.

Jiarui Mi, Lingjuan Jiang, Zhengye Liu, Xia Wu, Nan Zhao, Yuanzhuo Wang, Xiaoyin Bai

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In one paragraph

Article in Hepatology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
8.4field-weighted citation impact, top 1% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Jiarui Mi *Graduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
Lingjuan Jiang *Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China.
Zhengye Liu *Second School of Clinical Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430000, Hubei, China.
Xia WuDepartment of Internal Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
Nan ZhaoSecond School of Clinical Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430000, Hubei, China.
Yuanzhuo WangDepartment of Clinical Medicine, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100005, China.
Xiaoyin BaiDepartment of Gastroenterology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China. baixiaoyin@pumch.cn.ORCID http://orcid.org/0000-0002-9092-7592
Chinese Academy of Medical Sciences & Peking Union Medical College · CNWuhan University · CN

Funding

Fundamental Research Funds for the Central Universities 3332021007Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

BACKGROUND AND

aimsObservational and Mendelian randomization (MR) studies have identified several modifiable risk factors of cholelithiasis. However, there is limited evidence about the causal effect of blood metabolites on the cholelithiasis risk.

methodsTo have a comprehensive understanding to causal relations between blood metabolites and cholelithiasis, for the primary discovery, we applied two MR methods to explore the associations between 249 circulating metabolites and cholelithiasis. For secondary validations, we replicated the examinations using another metabolic dataset with 123 metabolites. The summary statistics of cholelithiasis were retrieved from FinnGen Consortium Release 5 and UK Biobank. Inverse-variance weighted, weight median and MR-egger methods were used for calculating causal estimates. Furthermore, Bayesian model averaging MR (MR-BMA) method was employed to detect the dominant causal metabolic traits with adjustment for pleiotropy effects.

resultsIn the primary analysis, sphingomyelin showed consistent protective causal associations with cholelithiasis; while plasma cholesterol-associated traits showed generally inverse correlation with cholelithiasis risk. Notably, large numbers of traits within the (un)saturated fatty acid category demonstrated significant causal effects. Secondary analyses demonstrated similar results, with traits related to the levels of bisallylic groups in fatty acids showing protective effects. Lastly, MR-BMA analyses discovered that the degree of unsaturation plays a predominant role in reducing the risk of cholelithiasis.

conclusionOur MR study provides a complete atlas of associations between plasma metabolites on cholelithiasis risk. It highlighted that genetically predicted sphingomyelin and degree of unsaturation of fatty acid were causally associated with the reduced risk of cholelithiasis.

Indexed as

CholelithiasisMendelian Randomization AnalysisBayes TheoremHumansPolymorphism, Single NucleotideRisk FactorsSphingomyelinsSphingomyelinsBayesian modelCholelithiasisFatty acidFinnGen Consortium ReleaseGenome-wide association studyMendelian randomizationMetabolitesRisk factorSphingomyelinUK Biobank

Identifiers

PMID35704268
OpenAlexW4282961579

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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.