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PRJNA682730 SRP301755

Gut microbiome and MTX response in new-onset RA, USA

human gut microbiome predicts response to MTX treatment

92 gut microbiome samples from adults (and a few elderly) in the USA, mostly with autoimmune/inflammatory conditions, studied for methotrexate treatment response in new-onset rheumatoid arthritis; case-control design. machine-written summary

92 samples · 92 runs · US · Adult · 2021 · 2.63 Gbp / sample

Sources
✓Sequence archive 552✓Abstract / description 23○Full text✓Supplementary tables 4✓External resources 339–User contribution–Human verified

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

what each source gave
✓ Sequence archive552 sample values (collection date, country, latitude, location region, longitude, subject id)
✓ Abstract / description23 sample values (health condition detail)
○ Full textread; no usable statement or table · PMC10289814, PMC11293279, PMC9024311
✓ Supplementary tables4 sample values (age, sex)
✓ External resources339 sample values (age, antibiotic exposure, health condition, health condition detail, sex) · 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 sampling locations · 1 country
Age
adult88
elderly4
Condition
autoimmune_inflammatory69
Sex
female55
male13
Country
US92
Body site
primary92
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 %)this project, 0.3–1 Gbp: 14 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 43 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 35 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 2.63 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

23 of 69 people sampled more than once (46 samples; median 2, up to 2 per person).

How longitudinal and relatedness information is derived

Community composition
Prevotella 20.1%Bacteroides 7.7%Phocaeicola 6.5%CAG-177 5.6%Vescimonas 3.5%Roseburia 3.5%Alistipes 3.2%Faecalibacterium 2.1%Fimenecus 1.8%Hominimerdicola 1.5%Parabacteroides 1.5%Lachnospira 1.4%not assigned to a genus 7.3%other genera 34.3%

Genera, mean relative abundance over 83 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category92 100%
country92 100%92
health_condition69 75%69
subject_id92 100%92
collection_date92 100%92
detailed_location92 100%
health_condition_detail92 100%6923
latitude92 100%92
location_region92 100%92
longitude92 100%92
antibiotic_exposure69 75%69
age_at_collection_days68 74%68
sex68 74%68
Papers (3)
  • The Pretreatment Gut Microbiome Is Associated With Lack of Response to Methotrexate in New-Onset Rheumatoid Arthritis. 2021 PMID 33314800 PMC11293279 own_data
  • The Potential of Gut Microbiota Metabolic Capability to Detect Drug Response in Rheumatoid Arthritis Patients. 2022 PMID 35464950 PMC9024311 unsure
  • SIMMER employs similarity algorithms to accurately identify human gut microbiome species and enzymes capable of known chemical transformations. 2023 PMID 37306300 PMC10289814 unsure
Details
Archive description

Although oral methotrexate (MTX) remains the anchor drug for RA, up to 50% of patients do not achieve a clinically adequate outcome. Concomitantly, there is a lack of prognostic tools for treatment response prior to drug initiation. Here we study whether inter-individual differences in the human gut microbiome can aid in the prediction of MTX efficacy in new-onset RA (NORA).

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.65. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.title · “human gut microbiome predicts response”
  • life stage study.description · “new-onset RA (NORA)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN17006387age_at_collection_days10227.0R20.75external.cmd sourceage: 28; age_unit: (empty); age_group: Adult
SAMN17006402age_at_collection_days23741.2R20.85paper.supp.elife-82401-fig9-data1.xlsx[Figure9!Age]65
SAMN17006387antibiotic_exposurenoR20.75external.cmd sourceantibiotics_current_use: No
SAMN17006387collection_date2017R10.90biosample.attribute:collection_date2017
SAMN17006387countryUSR10.90sample.attr.geo_loc_nameUSA
SAMN17006387health_conditionautoimmune_inflammatoryR20.75external.cmd sourcedisease: Rheumatoid Arthritis
SAMN17006387health_condition_detailRheumatoid ArthritisR20.75external.cmd sourcedisease: Rheumatoid Arthritis
SAMN17006456health_condition_detailmixed_case_control: Study includes RA patients (cases) and an independent validation cohort; no explicit statement of coR40.50paper.abstractdrug-naive patients with new-onset RA
SAMN17006387latitude40.7300R10.90biosample.attribute:lat_lon40.73 N 74.01 W
SAMN17006387location_regionNew YorkR10.60biosample.attribute:lat_lon40.73 N 74.01 W
SAMN17006387longitude-74.0100R10.90biosample.attribute:lat_lon40.73 N 74.01 W
SAMN17006387sexfemaleR20.75external.cmd sourcesex: Female
SAMN17006456sexfemaleR20.85paper.supp.elife-82401-fig9-data1.xlsx[Figure9!Gender]F
SAMN17006387subject_id5R10.70sample.name_rule:alias5_metagenome_nextseq
Sequencing

92 runs over 92 samples · mean 2.59 Gbp per run (median 2.63 Gbp, total 238.45 Gbp; 92 runs with a base count) · layout PAIRED 92 · platform ILLUMINA 92 · models NextSeq 550 (69), Illumina MiSeq (23) · 90% of runs with a Sandpiper profile · first public 2021-01-15

Authors (36)

Artacho A first · Isaac S · Nayak R · Flor-Duro A · Alexander M · Koo I · Manasson J · Smith PB · Rosenthal P · Homsi Y · Gulko P · Pons J · Puchades-Carrasco L · Izmirly P · Patterson A · Abramson SB · Pineda-Lucena A · Turnbaugh PJ · Ubeda C · Scher JU last · Han M first · Zhang N · Mao Y · Huang B · Ren M · Peng Z · Bai Z · Chen L · Liu Y · Wang S · Huang S · Cheng Z last · Bustion AE first · Nayak RR · Agrawal A · Pollard KS last

Downloads

PRJNA682730.csv.gz (3.8 KB) · parquet (75.4 KB) — all 92 samples, every field with route and confidence · PRJNA682730_determinations.csv.gz (10.1 KB) — 918 evidence rows

Samples (92 · every field this project has values for · hover a cell for its source)
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