Evidence map›Paper›PMID 29094161›Full record

ArticleJAMA psychiatry2017

Inflammatory Biomarkers and Risk of Schizophrenia: A 2-Sample Mendelian Randomization Study.

Fernando Pires Hartwig, Maria Carolina Borges, Bernardo Lessa Horta, Jack Bowden, George Davey Smith

Open access · hybridAbstract read
In one paragraph

Article in JAMA psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed, 11 pooled it
7.5field-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

176 citing papers in PubMed, 11 syntheses or guidelines pooled it, 327 citations in OpenAlex.

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  13. Causal links among gut microbiota, immune-inflammatory and compensatory immune-regulatory systems, and schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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116 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Fernando Pires HartwigPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Maria Carolina BorgesPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Bernardo Lessa HortaPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Jack BowdenMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, England.
George Davey SmithMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, England.
Universidade Federal de Pelotas · BRMedical Research Council · GBUniversity of Bristol · GB

Funding

Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/9
6 · The paper itself

Abstract

Importance: Positive associations between inflammatory biomarkers and risk of psychiatric disorders, including schizophrenia, have been reported in observational studies. However, conventional observational studies are prone to bias, such as reverse causation and residual confounding, thus limiting our understanding of the effect (if any) of inflammatory biomarkers on schizophrenia risk. Objective: To evaluate whether inflammatory biomarkers have an effect on the risk of developing schizophrenia. Design, Setting, and Participants: Two-sample mendelian randomization study using genetic variants associated with inflammatory biomarkers as instrumental variables to improve inference. Summary association results from large consortia of candidate gene or genome-wide association studies, including several epidemiologic studies with different designs, were used. Gene-inflammatory biomarker associations were estimated in pooled samples ranging from 1645 to more than 80 000 individuals, while gene-schizophrenia associations were estimated in more than 30 000 cases and more than 45 000 ancestry-matched controls. In most studies included in the consortia, participants were of European ancestry, and the prevalence of men was approximately 50%. All studies were conducted in adults, with a wide age range (18 to 80 years). Exposures: Genetically elevated circulating levels of C-reactive protein (CRP), interleukin-1 receptor antagonist (IL-1Ra), and soluble interleukin-6 receptor (sIL-6R). Main Outcomes and Measures: Risk of developing schizophrenia. Individuals with schizophrenia or schizoaffective disorders were included as cases. Given that many studies contributed to the analyses, different diagnostic procedures were used. Results: The pooled odds ratio estimate using 18 CRP genetic instruments was 0.90 (random effects 95% CI, 0.84-0.97; P = .005) per 2-fold increment in CRP levels; consistent results were obtained using different mendelian randomization methods and a more conservative set of instruments. The odds ratio for sIL-6R was 1.06 (95% CI, 1.01-1.12; P = .02) per 2-fold increment. Estimates for IL-1Ra were inconsistent among instruments, and pooled estimates were imprecise and centered on the null. Conclusions and Relevance: Under mendelian randomization assumptions, our findings suggest a protective effect of CRP and a risk-increasing effect of sIL-6R (potentially mediated at least in part by CRP) on schizophrenia risk. It is possible that such effects are a result of increased susceptibility to early life infection.

Indexed as

SchizophreniaAdultAgedBiomarkersC-Reactive ProteinFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansInflammationInterleukin 1 Receptor Antagonist ProteinMaleMendelian Randomization AnalysisMiddle AgedBiomarkersC-Reactive ProteinInterleukin 1 Receptor Antagonist ProteinReceptors, Interleukin-6

Identifiers

PMID29094161
PMCPMC6583386
OpenAlexW2765391558

What OpenQuestion holds

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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 OpenQuestion graph.