Evidence map›Paper›PMID 31919502›Full record

ArticleSchizophrenia bulletin2020

Assessing the Causal Effects of Human Serum Metabolites on 5 Major Psychiatric Disorders.

Jian Yang, Bin Yan, Binbin Zhao, Yajuan Fan, Xiaoyan He, Lihong Yang, Qingyan Ma, Jie Zheng, Wei Wang, Ling Bai and 2 more

Open access · bronzeAbstract readTwin Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Schizophrenia bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 6 pooled it
3.7field-weighted citation impact, top 6% 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

91 citing papers in PubMed, 6 syntheses or guidelines pooled it, 151 citations in OpenAlex.

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31 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

12 authors at 1 institution in 1 country.

Jian YangClinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Bin YanClinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Binbin ZhaoDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yajuan FanDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaoyan HeDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Lihong YangClinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Qingyan MaDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jie ZhengClinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wei WangDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ling BaiClinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Feng ZhuCenter for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiancang MaDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychiatric disorders are the leading cause of disability worldwide while the pathogenesis remains unclear. Genome-wide association studies (GWASs) have made great achievements in detecting disease-related genetic variants. However, functional information on the underlying biological processes is often lacking. Current reports propose the use of metabolic traits as functional intermediate phenotypes (the so-called genetically determined metabotypes or GDMs) to reveal the biological mechanisms of genetics in human diseases. Here we conducted a two-sample Mendelian randomization analysis that uses GDMs to assess the causal effects of 486 human serum metabolites on 5 major psychiatric disorders, which respectively were schizophrenia (SCZ), major depression (MDD), bipolar disorder (BIP), autism spectrum disorder (ASD), and attention-deficit/hyperactivity disorder (ADHD). Using genetic variants as proxies, our study has identified 137 metabolites linked to the risk of psychiatric disorders, including 2-methoxyacetaminophen sulfate, which affects SCZ (P = 1.7 × 10-5) and 1-docosahexaenoylglycerophosphocholine, which affects ADHD (P = 5.6 × 10-5). Fourteen significant metabolic pathways involved in the 5 psychiatric disorders assessed were also detected, such as glycine, serine, and threonine metabolism for SCZ (P = .0238), Aminoacyl-tRNA biosynthesis for both MDD (P = .0144) and ADHD (P = .0029). Our study provided novel insights into integrating metabolomics with genomics in order to understand the mechanisms underlying the pathogenesis of human diseases.

Indexed as

Attention Deficit Disorder with HyperactivityAutism Spectrum DisorderBipolar DisorderGenome-Wide Association StudyGermanyHumansMajor Depressive DisorderMendelian Randomization AnalysisMetabolic Networks and PathwaysMetabolomeSchizophreniaUnited Kingdom1-docosahexaenoylglycerophosphocholine2-methoxyacetaminophen sulfateMendelian randomizationmetabolic pathwaypsychiatric disorderserum metabolite

Identifiers

PMID31919502
PMCPMC7342080
OpenAlexW3000004934

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.