Transcriptome analysis in whole blood reveals increased microbial diversity in schizophrenia
Year: 2018
Type: article
Study design: Observational Study
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 + memory T cells in healthy controls, supporting a link between microbial products found in blood, immunity and schizophrenia.
Source: Translational Psychiatry
Language: English
Topic: Gut microbiota and health
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,290
Funders: National Science Foundation, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Institute on Drug Abuse, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke, National Institute of Environmental Health Sciences
Awards: G1104670545, Substance Abuse & Behavioral Disinhibition: Integrating Genes & Environment, III: Small: Inference of Causal Regulatory Relationships from Genetic Studies, BSF:2012304:Methods for Preprocessing Population Sequence Data, Lipid and Lipoprotein Metabolism in Atherosclerosis, III: Small: Causal and Statistical Inference in the Presence of Confounding Factors, Correcting for Population Structure in Gene-by-Environment Interaction Studies, Genetic Regulation of Gene Expression and its Impact on Phenotypes, Parental Age and Schizophrenia Susceptibility, III: Medium: Private Identification of Relatives and Private GWAS: First Steps in the New Field of CryptoGenomics, III: Medium: Meta-analysis reinterpreted using causal graphs, Discovering the Genetic Basis of Hypertension, Collaborative Research: SEIII: Estimating Haplotype Frequencies, Collaborative Research: SEIII: Estimating Haplotype Frequencies, High-density Genome-wide Association Study of Schizophrenia in Large Dutch Sample, An integrated molecular approach to understand variation in iron metabolism, INTEGRATIVE GENETIC APPROACHES TO GENE-AIR POLLUTION INTERACTIONS IN ASTHMA, Collaborative Research: Design and Analysis of Compressed Sensing DNA Microarrays, Genetics of Gene Expression and Gene Mapping for Amytrophic Lateral Sclerosis, Molecular Genetic Approaches in Atherosclerosis Research, G9000061537, G9000065387, G9000097946, G9000222054, Training Grant in Neurobehavioral Genetics, Genomic Studies of Bipolar Disorder in a Large Cohort from The Netherlands
OpenAlex ID: W2949787012