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PRJNA379741 SRP102150

ME/CFS fecal metagenomics case-control study, USA

MECFS metagenomics

100 fecal metagenome samples from adults in the USA, comparing patients with another condition (ME/CFS-related subgroup) to healthy controls (50 each) in a case-control design. machine-written summary

100 samples · 100 runs · US · Age unknown · 2018 · 5.23 Gbp / sample

Sources
✓Sequence archive 500○Abstract / description○Full text○Supplementary tables✓External resources 300–User contribution–Human verified

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

what each source gave
✓ Sequence archive500 sample values (bmi, collection date, country, health condition, health condition detail, sex)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10154212, PMC13260335, PMC13526866, PMC5405467, PMC8485520, PMC9465070
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources300 sample values (age, antibiotic exposure, health condition, health condition detail) · from curatedMetagenomicData 3 (cMD 3)
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
adult100
Condition
healthy_control50
other_disease50
Sex
female82
male18
Country
US100
Body site
primary100
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 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 15 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 74 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 11 samplesall 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 5.23 Gbp per sample0130Gbp
Community composition
Bacteroides 20.1%Phocaeicola 12.8%Alistipes 8.7%Faecalibacterium 5.4%Prevotella 4.3%Roseburia 3.3%Akkermansia 1.9%Parabacteroides 1.9%Oscillibacter 1.3%Vescimonas 1.2%Ruminococcoides 1.2%Blautia_A 1.0%not assigned to a genus 5.8%other genera 31.1%

Genera, mean relative abundance over 88 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category100 100%
country100 100%100
health_condition100 100%5050
subject_id0 0%
age_at_collection_days100 100%100
antibiotic_exposure100 100%100
bmi100 100%100
collection_date100 100%100
health_condition_detail100 100%5050
sex100 100%100
Papers (6)
  • Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome. 2017 PMID 28441964 PMC5405467 own_data
  • TOFU-MAaPO: fast, scalable and reproducible analysis of large metagenome sequence data from the Sequence Read Archive. 2026 PMID 42277027 PMC13260335 own_data
  • MetaGeneBank: a standardized database to study deep sequenced metagenomic data from human fecal specimen. 2021 PMID 34592929 PMC8485520 unsure
  • Helicobacter cinaedi is a human-adapted lineage in the Helicobacter cinaedi/canicola/'magdeburgensis' complex. 2022 PMID 35536747 PMC9465070 unsure
  • Toward an improved definition of a healthy microbiome for healthy aging. 2022 PMID 37118093 PMC10154212 unsure
1 more
  • Fatigue-associated gut bacteria in Japanese healthy adults characterized by metagenomic analysis. 2026 PMID 42289444 PMC13526866
Details
Archive description

Fecal metagenomic profiles in subgroups of patients with Myalgic Encephalomyelitis/ Chronic Fatigue Syndrome

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.description · “Fecal metagenomic profiles in subgroups”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN06619222age_at_collection_days18627.75R20.75external.cmd sourceage: 51; age_unit: Year; age_group: Adult
SAMN06619222antibiotic_exposurenoR20.75external.cmd sourceantibiotics_current_use: No
SAMN06619222bmi22.09R10.90sample.attr.bmi22.09428571
SAMN06619222collection_date2014-06-22R10.90biosample.attribute:collection_date2014-06-22
SAMN06619222countryUSR10.90sample.attr.geo_loc_nameUSA
SAMN06619226health_conditionhealthy_controlR10.85biosample.attribute:descControl
SAMN06619222health_conditionother_diseaseR20.75external.cmd sourcedisease: Chronic Fatigue Syndrome
SAMN06619226health_condition_detailControlR10.85biosample.attribute:descControl
SAMN06619222health_condition_detailChronic Fatigue SyndromeR20.75external.cmd sourcedisease: Chronic Fatigue Syndrome
SAMN06619222sexfemaleR10.90sample.attr.sexfemale
Sequencing

100 runs over 100 samples · mean 6.05 Gbp per run (median 5.23 Gbp, total 605.37 Gbp; 100 runs with a base count) · layout PAIRED 100 · platform ILLUMINA 100 · models Illumina HiSeq 4000 (100) · 88% of runs with a Sandpiper profile · first public 2018-02-27 – 2018-03-03

Authors (45)

Shao L first · Liao J · Qian J · Chen W · Fan X last · Gotoh Y first · Atsuta Y · Taniguchi T · Nishida R · Nakamura K · Ogura Y · Misawa N · Hayashi T last · Ghosh TS first · Shanahan F · O'Toole PW last · Argentini C first · Lugli GA · Tarracchini C · Fontana F · Mancabelli L · Viappiani A · Anzalone R · Angelini L · Alessandri G · Longhi G · Bianchi MG · Taurino G · Bussolati O · Milani C · van Sinderen D · Turroni F · Ventura M last · Wacker EM first · Rühlemann MC · Franke A · Ellinghaus D last · Masuoka H first · Miyatake T · Park J · Negishi H · Kurokawa R · Tsuchihashi H · Makino S · Suda W last

Downloads

PRJNA379741.csv.gz (3.9 KB) · parquet (74.9 KB) — all 100 samples, every field with route and confidence · PRJNA379741_determinations.csv.gz (8.4 KB) — 800 evidence rows

Samples (100 · every field this project has values for · hover a cell for its source)
Loading the sample table…