Evidence map›Paper›PMID 29743478›Full record

ArticleTranslational psychiatry2018

Transcriptome analysis in whole blood reveals increased microbial diversity in schizophrenia.

Loes M Olde Loohuis, Serghei Mangul, Anil P S Ori, Guillaume Jospin, David Koslicki, Harry Taegyun Yang, Timothy Wu, Marco P Boks, Catherine Lomen-Hoerth, Martina Wiedau-Pazos and 5 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Pathological Alterations in Human Blood Microbiome-An Updated Review.International journal of molecular sciences · 2025
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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

15 authors.

Loes M Olde LoohuisCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-3327-7837
Serghei MangulDepartment of Computer, Science University of California Los Angeles, Los Angeles, CA, USA.
Anil P S OriCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA.
Guillaume JospinDavis Genome Center, University of California, Davis, CA, USA.
David KoslickiMathematics Department, Oregon State University, Corvallis, OR, USA.
Harry Taegyun YangDepartment of Computer, Science University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-9125-5962
Timothy WuCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA.
Marco P BoksDepartment of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
Catherine Lomen-HoerthDepartment of Neurology, University of California San Francisco, San Francisco, CA, USA.
Martina Wiedau-PazosDepartment of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Rita M CantorDepartment of Human Genetics, University of California Los Angeles, Los Angeles, CA, USA.
Willem M de VosLaboratory of Microbiology, Wageningen University, Wageningen, The Netherlands.
René S KahnDepartment of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
Eleazar EskinDepartment of Computer, Science University of California Los Angeles, Los Angeles, CA, USA.
Roel A OphoffCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA. ophoff@ucla.edu.

Funding

ULTRASTRUCTURE OF THE INTIMA IN EARLY LESION FORMATIONP01HL030568 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FOGELMAN, ALAN M · 1985 to 2019
$55.2M
Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 1985 to 2019
$50.2M
Substance Abuse & Behavioral Disinhibition: Integrating Genes & EnvironmentU01DA024417 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2007 to 2010
$10.8M
Genomic Studies of Bipolar Disorder in a Large Cohort from The NetherlandsR01MH090553 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OPHOFF, ROEL A · 2010 to 2014
$6.0M
Training Grant in Neurobehavioral GeneticsT32NS048004 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, OPHOFF, ROEL A · 2004 to 2025
$5.8M
INTEGRATIVE GENETIC APPROACHES TO GENE-AIR POLLUTION INTERACTIONS IN ASTHMAR01ES021801 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AKBARI, OMID, ALLAYEE, HOOMAN · 2012 to 2016
$3.9M
High-density Genome-wide Association Study SchizophreniaR01MH078075 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OPHOFF, ROEL A · 2006 to 2009
$3.7M
An integrated molecular approach to understand variation in iron metabolismR01GM083198 · NIGMS · UNIVERSITY OF FLORIDA · PI VULPE, CHRISTOPHER D · 2012 to 2015
$2.7M
Genetics of Gene Expression and Gene Mapping for Amytrophic Lateral SclerosisR01NS058980 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OPHOFF, ROEL A · 2008 to 2012
$1.6M
Genetic Regulation of Gene Expression and its Impact on Phenotypes - SupplementR01MH101782 · NIMH · STANFORD UNIVERSITY · PI SABATTI, CHIARA · 2013 to 2016
$1.3M
Correcting for Population Structure in Gene-by-Environment Interaction StudiesR01ES022282 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ESKIN, ELEAZAR · 2013 to 2015
$1.2M
Discovering the Genetic Basis of HypertensionK25HL080079 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ESKIN, ELEAZAR · 2006 to 2010
$685k
NHLBI NIH HHS K25 HL080079NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01 HL030568NIDA NIH HHS U01 DA024417NIEHS NIH HHS R01 ES021801NIEHS NIH HHS R01 ES022282NIGMS NIH HHS R01 GM083198NIMH NIH HHS R01 MH078075NIMH NIH HHS R01 MH090553NIMH NIH HHS R01 MH101782NIMH NIH HHS R21 MH098035NINDS NIH HHS R01 NS058980NINDS NIH HHS T32 NS048004
6 · The paper itself

Abstract

The role of the human microbiome in health and disease is increasingly appreciated. We studied the composition of microbial communities present in blood across 192 individuals, including healthy controls and patients with three disorders affecting the brain: schizophrenia, amyotrophic lateral sclerosis, and bipolar disorder. By using high-quality unmapped RNA sequencing reads as candidate microbial reads, we performed profiling of microbial transcripts detected in whole blood. We were able to detect a wide range of bacterial and archaeal phyla in blood. Interestingly, we observed an increased microbial diversity in schizophrenia patients compared to the three other groups. We replicated this finding in an independent schizophrenia case-control cohort. This increased diversity is inversely correlated with estimated cell abundance of a subpopulation of CD8

Indexed as

MicrobiotaAdultAmyotrophic Lateral SclerosisBipolar DisorderFemaleGene Expression ProfilingHumansMaleMiddle AgedSchizophreniaSequence Analysis, RNAYoung Adult

Identifiers

PMID29743478
PMCPMC5943399

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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.