Evidence map›Paper›PMID 36038828›Full record

ArticleBMC genomic data2022

Pulmonary embolism and 529 human blood metabolites: genetic correlation and two-sample Mendelian randomization study.

Ruoyang Feng, Mengnan Lu, Jiawen Xu, Feng Zhang, Mingyi Yang, Pan Luo, Ke Xu, Peng Xu

Open access · goldAbstract read
In one paragraph

Article in BMC genomic data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 3 pooled it
28.9field-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

83 citing papers in PubMed, 3 syntheses or guidelines pooled it, 165 citations in OpenAlex.

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23 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 1 country.

Ruoyang FengDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shanxi, China.
Mengnan LuDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Jiawen XuOrthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, People's Republic of China.
Feng ZhangKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiao tong University, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China.
Mingyi YangDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shanxi, China.
Pan LuoDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shanxi, China.
Ke XuDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shanxi, China.
Peng XuDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shanxi, China. sousou369@163.com.
Xi'an Honghui Hospital · CNNational Health and Family Planning Commission · CNSecond Affiliated Hospital of Xi'an Jiaotong University · CNSichuan University · CN

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundThe incidence of pulmonary embolism complications in the literature ranges from 10 to 50%, with a 0.5-10% risk of fatal pulmonary embolism. However, the biological cause of pulmonary embolism is unknown.

methodsThis study used data from the Genome-Wide Association Study (GWAS) of Pulmonary Embolism and Human Blood Metabolites from the UK Biobank, and the data from subjects of European ancestry were analyzed. We explored the relationship between pulmonary embolism and blood metabolites in three ways. We first analyzed the genetic correlation between pulmonary embolism and human blood metabolites using the linkage disequilibrium score regression (LDSC) and then analyzed the causal relationship between pulmonary embolism and meaningful blood metabolites obtained from the LDSC, a procedure for which we used Mendelian randomization analysis. Finally, we obtained transcriptome sequencing data for patients with a pulmonary embolism from the GEO database, analyzed differentially expressed genes (DEGs) in patients with pulmonary embolism versus healthy populations, and compared the DEGs with the resulting blood metabolite genes to further validate the relationship between pulmonary embolism and blood metabolites.

resultWe found six human blood metabolites genetically associated with pulmonary embolism, stearic acid glycerol phosphate ethanolamine (correlation coefficient = 0.2582, P = 0.0493), hydroxytryptophan (correlation coefficient = 0.2894, P = 0.0435), and N1-methyladenosine (correlation coefficient = 0.0439, P = 0.3728), and a significant causal relationship was discovered between hydroxytryptophan and pulmonary embolism. After screening microarray data from the GEO database, we performed differential gene analysis on the GSE19151 dataset and screened a total of 22,216 genes with P values less than 0.05, including 17,361 upregulated genes and 4854 downregulated genes. By comparing the resulting differentially expressed genes with six genes encoding blood metabolites, LIPC and NAT2 were found to be differentially expressed in association with pulmonary embolism.

Indexed as

Arylamine N-AcetyltransferasePulmonary Embolism5-HydroxytryptophanGenome-Wide Association StudyHumansLinkage DisequilibriumMendelian Randomization Analysis5-HydroxytryptophanArylamine N-AcetyltransferaseNAT2 protein, humanGenetic correlationGenome-wide association studyHuman blood metabolitesPulmonary embolism

Identifiers

PMID36038828
PMCPMC9422150
OpenAlexW4293419787

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.