Gut microbiome in schizophrenia, case-control, Shaanxi China

The gut-brain axis has been enthusiastically discussed in recent years. Gut bacteria are known to promote serotonin biosynthesis from colonic enterochromaffin cells1. Germ-free mice are also known to have impaired blood-brain barrier, which could be rescued by short-chain fatty acids2. However, there has been little evidence from human studies, not to mention a study that combined human cohorts with animal models. Here we provide metagenomic shotgun sequencing data for a typical psychiatric disease, schizophrenia, for which tens of thousands of samples have been characterized in genome-association studies (GWAS). Metagenome-wide association studies (MWAS) identified bacteria that differ between patients and controls, which was partially recapitulated in mice transplanted with the human faeces. We show that the schizophrenic gut microbiome was causally responsible for core symptoms such as psychomotor hyperactivity and impaired learning and memory, whereas non-specific symptoms such as anxiety were lost in the mice model. Our findings pave the road for better diagnosis as well as mechanistic understandings of this devastating disease.

Classified as human gut / stool / blood / tissue / internal fluids shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.

• host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
• body site study.title · “role of the gut microbiome in schizophrenia”
• body site study.description · “The gut -brain axis has”
• body site study.description · “to have impaired blood -brain barrier, which”
• life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”

171 runs over 171 samples · mean 11.21 Gbp per run (median 11.32 Gbp, total 1,917.40 Gbp; 171 runs with a base count) · layout PAIRED 171 · platform ILLUMINA 171 · models HiSeq X Ten (171) · 92% of runs with a Sandpiper profile · first public 2020-01-06

Tarracchini C first · Fontana F · Mancabelli L · Lugli GA · Alessandri G · Turroni F · Ventura M · Milani C last · Tomofuji Y first · Sonehara K · Kishikawa T · Maeda Y · Ogawa K · Kawabata S · Nii T · Okuno T · Oguro-Igashira E · Kinoshita M · Takagaki M · Yamamoto K · Kurakawa T · Yagita-Sakamaki M · Hosokawa A · Motooka D · Matsumoto Y · Matsuoka H · Yoshimura M · Ohshima S · Nakamura S · Inohara H · Kishima H · Mochizuki H · Takeda K · Kumanogoh A · Okada Y last · Zhu J first · Xie H · Yang Z · Chen J · Yin J · Tian P · Wang H · Zhao J · Zhang H · Lu W · Chen W last · De Biase R · Bocchio F · Viappiani A · De Conto F · Nouvenne A · Ticinesi A · Bussolati O · Meschi T · Cecchi R · Jin DM first · Morton JT · Bonneau R last · Ren Y first · Zhang P · Yu H · Li S · Jiang H last · Mohammadzadeh R first · Mahnert A · Zurabishvili T · Wink L · Kumpitsch C · Habisch H · Sprengel J · Filek K · Mertelj P · Pernitsch D · Hingerl K · Durdevic M · Gorkiewicz G · Diener C · Loy A · Kolb D · Trautwein C · Madl T · Moissl-Eichinger C last

PRJEB29127.csv.gz (6.9 KB) · parquet (80.2 KB) — all 171 samples, every field with route and confidence · PRJEB29127_determinations.csv.gz (24.5 KB) — 2,223 evidence rows