Home › Studies › PRJDB16312
PRJDB16312 DRP010337

Gut microbiome, multiple chemical sensitivity, Japan

Gut Microbiome Analysis of Japanese Patients with Multiple Chemical Sensitivity

Cross-sectional study of 30 fecal samples from Japanese patients with multiple chemical sensitivity/idiopathic environmental intolerance, profiled by MiSeq shotgun metagenomic sequencing. machine-written summary

30 samples · 30 runs · JP · Age unknown · 2023 · 1.71 Gbp / sample

Sources
✓Sequence archive 60○Abstract / description✓Full text 120○Supplementary tables✓External resources 60–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive60 sample values (collection date, country)
○ Abstract / descriptionread; no usable statement
✓ Full text120 sample values (antibiotic exposure, location site, sex, subject id) · PMC10926566
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources60 sample values (health condition, health condition detail) · from GMrepo v3
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
unknown30
Condition
other_disease30
Sex
female30
Country
JP30
Body site
primary30
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 1 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 27 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 2 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)all projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 1.71 Gbp per sample0130Gbp
Community composition
Blautia_A 9.2%Bifidobacterium 9.1%Streptococcus 5.7%Bacteroides 5.6%Faecalibacterium 5.6%Phocaeicola 5.0%Ruminococcoides 4.7%Roseburia 4.2%Mediterraneibacter 3.8%Collinsella 3.2%Fusicatenibacter 2.3%Gemmiger 2.2%not assigned to a genus 7.5%other genera 32.0%

Genera, mean relative abundance over 30 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country30 100%30
health_condition30 100%30
subject_id30 100%30
antibiotic_exposure30 100%30
collection_date30 100%30
detailed_location30 100%
health_condition_detail30 100%30
location_site30 100%30
sex30 100%30
Papers (1)
  • Metagenomic gut microbiome analysis of Japanese patients with multiple chemical sensitivity/idiopathic environmental intolerance. 2024 PMID 38468206 PMC10926566 own_data
Details
Archive description

Feces samples of 30 Japanese patients with multiple chemical sensitivity/Idiopathic Environmental Intolerance were collected. The fecal DNA samples were sequenced using the MiSeq (Illumina, Inc. San Diego, CA, USA). For microbial genome/species assignment of the metagenomic reads, 500,000 high-quality metagenomic reads per individual were mapped to reference genomes using Bowtie232 (v2.2.1). For each individual, the filter-passed MiSeq reads were assembled using MEGAHIT (v1.2.4). Prodigal (v2.6.3) was used to predict protein-coding genes (greater than or equal to 100 bp) in contigs (greater than or equal to 500 bp) and singletons (greater than or equal to 300 bp). The non-redundant genes were functionally assigned by alignments against the Kyoto Encyclopedia of Genes and Genomes (KEGG) database (release 2019-10-07) using DIAMOND (e-value less than or equal to 1.0e-5) [20] to obtain KEGG orthologies (KOs).

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.80. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.title · “Gut Microbiome Analysis of Japanese Patients”
  • body site run.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMD00633985antibiotic_exposurenoR30.70paper.body.methods_resultsreceiving treatment with antibiotics and/or proton pump inhibitors (PPIs) within the last six months
SAMD00633985collection_date2018-01-21R10.90biosample.attribute:collection_date2018-01-21
SAMD00633985countryJPR10.90sample.attr.geo_loc_nameJapan
SAMD00633985health_conditionother_diseaseR20.75external.gmrepo sourcephenotype: Multiple Chemical Sensitivity
SAMD00633985health_condition_detailMultiple Chemical SensitivityR20.75external.gmrepo sourcephenotype: Multiple Chemical Sensitivity
SAMD00633985location_siteSagamihara National HospitalR30.70paper.body.methods_resultsThirty consecutive Japanese female patients with MCS visiting Sagamihara National Hospital were included in the study.
SAMD00633985sexfemaleR30.70paper.body.methods_resultsThirty consecutive Japanese female patients with MCS visiting Sagamihara National Hospital were included in the study.
SAMD00633985subject_idSAMD00633985R30.75design.one_sample_per_subject:fulltextdue to the cross-sectional nature of the study, we cannot show a causal relationship
Sequencing

30 runs over 30 samples · mean 1.91 Gbp per run (median 1.71 Gbp, total 57.28 Gbp; 30 runs with a base count) · layout PAIRED 30 · platform ILLUMINA 30 · models Illumina MiSeq (30) · 100% of runs with a Sandpiper profile · first public 2023-08-06

Authors (0)

No author record.

Downloads

PRJDB16312.csv.gz (1.8 KB) · parquet (71.3 KB) — all 30 samples, every field with route and confidence · PRJDB16312_determinations.csv.gz (2.8 KB) — 240 evidence rows

Samples (30 · every field this project has values for · hover a cell for its source)
Loading the sample table…