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PRJNA687957 SRP300268

Gut microbiome & clinical improvement in RA, US, long.

Gut Microbial Determinants of Clinically Important Improvement in Patients with Rheumatoid Arthritis

32 stool samples from adult and elderly rheumatoid arthritis patients in the USA, studied longitudinally to identify gut microbiome features associated with minimum clinically important improvement in disease activity. machine-written summary

32 samples · 32 runs · US · Adult · 2021 · 6.64 Gbp / sample · cohort Gut microbial determinants of clinically important

Sources
✓Sequence archive 192✓Abstract / description 64○Full text–Supplementary tables–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive192 sample values (age, collection date, country, sex, subject id, timepoint)
✓ Abstract / description64 sample values (health condition, health condition detail)
○ Full textread; no usable statement or table · PMC8439035
– Supplementary tablesno supplementary tables available (or none open access)
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
elderly19
adult13
Condition
autoimmune_inflammatory32
Sex
female21
male11
Country
US32
Body site
primary32
Collected 2014–2016
2014: 2 samples2015: 16 samples2016: 14 samples20142016
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 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 32 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 6.64 Gbp per sample0130Gbp
Community composition
Bacteroides 24.6%Phocaeicola 12.1%Alistipes 7.0%Roseburia 5.3%Faecalibacterium 4.8%Blautia_A 2.4%Prevotella 2.0%Parabacteroides 2.0%Anaerostipes 1.5%Vescimonas 1.3%Lachnospira 1.3%Gemmiger 1.2%not assigned to a genus 4.7%other genera 29.7%

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_category32 100%
country32 100%32
health_condition32 100%32
subject_id32 100%32
age_at_collection_days32 100%32
collection_date32 100%32
health_condition_detail32 100%32
sex32 100%32
timepoint_label32 100%32
Papers (1)
  • Gut microbial determinants of clinically important improvement in patients with rheumatoid arthritis. 2021 PMID 34517888 PMC8439035 unsure
Details
Archive description

Within the past decade, several studies have shown that dysbiosis of the gut microbiome is a key hallmark of rheumatoid arthritis (RA). Yet, the relationship between gut microbiome and clinical improvement in the disease activity of patients with RA remains. In this study, we explored the gut microbiome of patients with RA to identify features that are associated with, as well as predictive of, minimum clinically important improvement (MCII) in disease activity.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly 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 · “Gut Microbial Determinants of”
  • body site study.description · “dysbiosis of the gut microbiome is a”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • life stage sample.attr.host_age · “65 (n=18/32)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN17161291age_at_collection_days20434.0R10.85sample.attr.host_age56
SAMN17161291collection_date2014-12-23R10.90biosample.attribute:collection_date2014-12-23
SAMN17161291countryUSR10.90sample.attr.geo_loc_nameUSA
SAMN17161291health_conditionautoimmune_inflammatoryR40.50study.descriptionpatients with RA
SAMN17161291health_condition_detailRheumatoid arthritisR40.50study.descriptionpatients with RA
SAMN17161291sexfemaleR10.90sample.attr.host_sexfemale
SAMN17161291subject_idRHB_RAM_0004_V-2R10.85sample.attr.host_subject_idRHB_RAM_0004_V-2
SAMN17161291timepoint_labelV-2R10.70sample.name_rule:host_subject_idRHB_RAM_0004_V-2
Sequencing

32 runs over 32 samples · mean 6.62 Gbp per run (median 6.64 Gbp, total 211.73 Gbp; 32 runs with a base count) · layout PAIRED 32 · platform ILLUMINA 32 · models Illumina HiSeq 4000 (32) · 94% of runs with a Sandpiper profile · first public 2021-04-02

Authors (10)

Gupta VK first · Cunningham KY · Hur B · Bakshi U · Huang H · Warrington KJ · Taneja V · Myasoedova E · Davis JM · Sung J last

Downloads

PRJNA687957.csv.gz (2.1 KB) · parquet (71.6 KB) — all 32 samples, every field with route and confidence · PRJNA687957_determinations.csv.gz (2.8 KB) — 256 evidence rows

Samples (32 · every field this project has values for · hover a cell for its source)
Loading the sample table…