Evidence map›Paper›PMID 33711016›Full record

ArticlePLoS medicine2021

The potential shared role of inflammation in insulin resistance and schizophrenia: A bidirectional two-sample mendelian randomization study.

Benjamin I Perry, Stephen Burgess, Hannah J Jones, Stan Zammit, Rachel Upthegrove, Amy M Mason, Felix R Day, Claudia Langenberg, Nicholas J Wareham, Peter B Jones and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 5 pooled it
5.7field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 5 syntheses or guidelines pooled it, 87 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

11 authors at 3 institutions in 2 countries.

Benjamin I PerryDepartment of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, England.ORCID 0000-0002-1533-026X
Stephen BurgessMRC Biostatistics Unit, University of Cambridge, Cambridge, England.ORCID 0000-0001-5365-8760
Hannah J JonesNIHR Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, United Kingdom.
Stan ZammitNIHR Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, United Kingdom.
Rachel UpthegroveInstitute for Mental Health, University of Birmingham, Birmingham, England.
Amy M MasonDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, England.ORCID 0000-0002-8019-0777
Felix R DayMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, England.ORCID 0000-0003-3789-7651
Claudia LangenbergMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, England.ORCID 0000-0002-5017-7344
Nicholas J WarehamMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, England.ORCID 0000-0003-1422-2993
Peter B JonesDepartment of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, England.ORCID 0000-0002-0387-880X
Golam M KhandakerDepartment of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, England.ORCID 0000-0002-4935-9220
University of Cambridge · GBUniversity Hospitals Bristol NHS Foundation Trust · GBUniversity of Birmingham · GB

Funding

British Heart Foundation CH/12/2/29428British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946Department of Health 127700Department of Health DRF-2018-11-ST2-018Department of Health RP-PG- 0616-20003Medical Research Council MC_PC_17213Medical Research Council MC_UU_00002/7Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_00006/2Medical Research Council MC_UU_12015/1Medical Research Council MR/L010305/1Medical Research Council MR/S037675/1Wellcome Trust 201486/Z/16/ZWellcome Trust 204623/Z/16/Z
6 · The paper itself

Abstract

backgroundInsulin resistance predisposes to cardiometabolic disorders, which are commonly comorbid with schizophrenia and are key contributors to the significant excess mortality in schizophrenia. Mechanisms for the comorbidity remain unclear, but observational studies have implicated inflammation in both schizophrenia and cardiometabolic disorders separately. We aimed to examine whether there is genetic evidence that insulin resistance and 7 related cardiometabolic traits may be causally associated with schizophrenia, and whether evidence supports inflammation as a common mechanism for cardiometabolic disorders and schizophrenia. METHODS AND

findingsWe used summary data from genome-wide association studies of mostly European adults from large consortia (Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) featuring up to 108,557 participants; Diabetes Genetics Replication And Meta-analysis (DIAGRAM) featuring up to 435,387 participants; Global Lipids Genetics Consortium (GLGC) featuring up to 173,082 participants; Genetic Investigation of Anthropometric Traits (GIANT) featuring up to 339,224 participants; Psychiatric Genomics Consortium (PGC) featuring up to 105,318 participants; and Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium featuring up to 204,402 participants). We conducted two-sample uni- and multivariable mendelian randomization (MR) analysis to test whether (i) 10 cardiometabolic traits (fasting insulin, high-density lipoprotein and triglycerides representing an insulin resistance phenotype, and 7 related cardiometabolic traits: low-density lipoprotein, fasting plasma glucose, glycated haemoglobin, leptin, body mass index, glucose tolerance, and type 2 diabetes) could be causally associated with schizophrenia; and (ii) inflammation could be a shared mechanism for these phenotypes. We conducted a detailed set of sensitivity analyses to test the assumptions for a valid MR analysis. We did not find statistically significant evidence in support of a causal relationship between cardiometabolic traits and schizophrenia, or vice versa. However, we report that a genetically predicted inflammation-related insulin resistance phenotype (raised fasting insulin (raised fasting insulin (Wald ratio OR = 2.95, 95% C.I, 1.38-6.34, Holm-Bonferroni corrected p-value (p) = 0.035) and lower high-density lipoprotein (Wald ratio OR = 0.55, 95% C.I., 0.36-0.84; p = 0.035)) was associated with schizophrenia. Evidence for these associations attenuated to the null in multivariable MR analyses after adjusting for C-reactive protein, an archetypal inflammatory marker: (fasting insulin Wald ratio OR = 1.02, 95% C.I, 0.37-2.78, p = 0.975), high-density lipoprotein (Wald ratio OR = 1.00, 95% C.I., 0.85-1.16; p = 0.849), suggesting that the associations could be fully explained by inflammation. One potential limitation of the study is that the full range of gene products from the genetic variants we used as proxies for the exposures is unknown, and so we are unable to comment on potential biological mechanisms of association other than inflammation, which may also be relevant.

conclusionsOur findings support a role for inflammation as a common cause for insulin resistance and schizophrenia, which may at least partly explain why the traits commonly co-occur in clinical practice. Inflammation and immune pathways may represent novel therapeutic targets for the prevention or treatment of schizophrenia and comorbid insulin resistance. Future work is needed to understand how inflammation may contribute to the risk of schizophrenia and insulin resistance.

Indexed as

Cardiometabolic Risk FactorsGenome-Wide Association StudyMendelian Randomization AnalysisAdultAgedAged, 80 and overEuropeHumansInflammationInsulin ResistanceMiddle AgedPhenotypeSchizophreniaYoung Adult

Identifiers

PMID33711016
PMCPMC7954314
OpenAlexW3135254827

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Registered trials

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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.