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PRJNA1056456 SRP482507

SMT vs FMT intervention study in IBS-D adults, China

Homo sapiens Metagenome

327 gut metagenome samples from adults (and some elderly) in China with irritable bowel syndrome (diarrhea type), comparing selective microbiota transplantation (SMT) and fecal microbiota transplantation (FMT) in an intervention study. machine-written summary

327 samples · 327 runs · CN · Adult · 2024 · 6.65 Gbp / sample

Sources
✓Sequence archive 2,611✓Abstract / description 654–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 archive2,611 sample values (age, collection date, country, intervention, intervention detail, sex, subject id, timepoint)
✓ Abstract / description654 sample values (health condition, health condition detail)
– Full textno open-access full text linked
– 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
Interventions

intervention · arms resolved

NFaecal microbiota transplantation: 36 people · 176 samplesFMT 36 people · 176 samplesOther administered intervention (see intervention_detail): 34 people · 151 samplesother 34 people · 151 samples
non-randomised arms

Faecal microbiota transplantation Other administered intervention (see intervention_detail) design non_randomized_controlled · population ibs · Selective microbiota transplantation (SMT) vs fecal microbiota transplantation (FMT)

“selective microbiota transplantation (SMT) and fecal microbiota transplantation” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
adult316
elderly11
Condition
ibs327
Sex
male219
female103
Country
CN327
Body site
primary327
Collected 2020–2021
2020: 3 samples2021: 324 samples20202021
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: 327 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 6.65 Gbp per sample0130Gbp
! Self-contradictory metadata

sex differs between samples of the same subject id (1 subjects, 5 samples) — sex withheld.

The sources disagree on 5 samples. Where two incompatible values exist for one sample (or one person's samples disagree on sex), neither value is published: the field is left empty here, in the sample sheet and in the downloads. Both sides, with their sources, are in gut_metadata_contradictions.parquet of the data package (what counts as a contradiction).

Contradicted values (5)
samplefieldvalueother valuehandling
SAMN39098844sexmale (sequence archive)subject FMT-014: female in 4 samples, male in 1 samplewithheld: neither value published
SAMN39098845sexfemale (sequence archive)subject FMT-014: female in 4 samples, male in 1 samplewithheld: neither value published
SAMN39098846sexfemale (sequence archive)subject FMT-014: female in 4 samples, male in 1 samplewithheld: neither value published
SAMN39098847sexfemale (sequence archive)subject FMT-014: female in 4 samples, male in 1 samplewithheld: neither value published
SAMN39098848sexfemale (sequence archive)subject FMT-014: female in 4 samples, male in 1 samplewithheld: neither value published
Sampling design and relatedness

longitudinal

65 of 70 people sampled more than once (322 samples; median 5, up to 5 per person) · follow-up median 3 mo (max 5 mo) · median interval between samples 23 d (time from collection dates). Schedule stated by the source: “timepoints labeled 0, 2, 4, 8, 12 (unit not stated in supplied fields)”.

FMT-003FMT-003: day 0FMT-003: day 14FMT-003: day 24FMT-003: day 62FMT-003: day 93FMT-007FMT-007: day 0FMT-007: day 14FMT-007: day 32FMT-007: day 63FMT-007: day 92FMT-011FMT-011: day 0FMT-011: day 18FMT-011: day 34FMT-011: day 70FMT-011: day 97FMT-014FMT-014: day 0FMT-014: day 12FMT-014: day 29FMT-014: day 57FMT-014: day 89FMT-017FMT-017: day 0FMT-017: day 21FMT-017: day 37FMT-017: day 65FMT-017: day 99FMT-019FMT-019: day 0FMT-019: day 23FMT-019: day 27FMT-019: day 68FMT-019: day 110FMT-020FMT-020: day 0FMT-020: day 13FMT-020: day 27FMT-020: day 55FMT-020: day 78FMT-022FMT-022: day 0FMT-022: day 19FMT-022: day 71FMT-022: day 98FMT-022: day 128FMT-024FMT-024: day 0FMT-024: day 18FMT-024: day 36FMT-024: day 65FMT-024: day 96FMT-028FMT-028: day 0FMT-028: day 19FMT-028: day 34FMT-028: day 67FMT-028: day 92FMT-029FMT-029: day 0FMT-029: day 15FMT-029: day 36FMT-029: day 64FMT-029: day 98FMT-030FMT-030: day 0FMT-030: day 13FMT-030: day 29FMT-030: day 57FMT-030: day 90FMT-031FMT-031: day 0FMT-031: day 14FMT-031: day 27FMT-031: day 56FMT-031: day 84FMT-033FMT-033: day 0FMT-033: day 23FMT-033: day 39FMT-033: day 65FMT-033: day 113FMT-036FMT-036: day 0FMT-036: day 13FMT-036: day 26FMT-036: day 56FMT-036: day 89FMT-037FMT-037: day 0FMT-037: day 16FMT-037: day 39FMT-037: day 56FMT-037: day 88FMT-038FMT-038: day 0FMT-038: day 14FMT-038: day 34FMT-038: day 58FMT-038: day 88FMT-039FMT-039: day 0FMT-039: day 13FMT-039: day 30FMT-039: day 61FMT-039: day 87FMT-040FMT-040: day 0FMT-040: day 20FMT-040: day 34FMT-040: day 62FMT-040: day 87FMT-041FMT-041: day 0FMT-041: day 16FMT-041: day 35FMT-041: day 65FMT-041: day 95FMT-044FMT-044: day 0FMT-044: day 9FMT-044: day 22FMT-044: day 52FMT-044: day 79FMT-046FMT-046: day 0FMT-046: day 17FMT-046: day 34FMT-046: day 63FMT-046: day 89FMT-047FMT-047: day 0FMT-047: day 20FMT-047: day 33FMT-047: day 59FMT-047: day 89FMT-048FMT-048: day 0FMT-048: day 18FMT-048: day 34FMT-048: day 63FMT-048: day 91FMT-053FMT-053: day 0FMT-053: day 22FMT-053: day 36FMT-053: day 62FMT-053: day 92FMT-055FMT-055: day 0FMT-055: day 13FMT-055: day 26FMT-055: day 55FMT-055: day 82FMT-057FMT-057: day 0FMT-057: day 16FMT-057: day 33FMT-057: day 61FMT-057: day 104FMT-058FMT-058: day 0FMT-058: day 15FMT-058: day 35FMT-058: day 68FMT-058: day 99FMT-061FMT-061: day 0FMT-061: day 16FMT-061: day 51FMT-061: day 99FMT-061: day 127FMT-063FMT-063: day 0FMT-063: day 13FMT-063: day 57FMT-063: day 70FMT-063: day 105FMT-064FMT-064: day 0FMT-064: day 13FMT-064: day 31FMT-064: day 61FMT-064: day 92FMT-068FMT-068: day 0FMT-068: day 14FMT-068: day 30FMT-068: day 49FMT-068: day 97FMT-069FMT-069: day 0FMT-069: day 16FMT-069: day 28FMT-069: day 63FMT-069: day 94FMT-070FMT-070: day 0FMT-070: day 13FMT-070: day 27FMT-070: day 57FMT-070: day 79JZ-001JZ-001: day 0JZ-001: day 14JZ-001: day 34JZ-001: day 65JZ-001: day 91JZ-002JZ-002: day 0JZ-002: day 13JZ-002: day 33JZ-002: day 73JZ-002: day 850 d32 d2 mo3 mo4 mo

Each row is one person (36 shown of 65); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Faecalibacterium 8.6%Blautia_A 7.4%Bifidobacterium 6.9%Roseburia 6.8%Mediterraneibacter 3.9%Collinsella 3.6%Phocaeicola 3.5%Ruminococcoides 3.4%Gemmiger 3.1%Bacteroides 3.0%Escherichia 2.9%Prevotella 2.4%not assigned to a genus 4.1%other genera 40.4%

Genera, mean relative abundance over 306 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category327 100%
country327 100%327
health_condition327 100%327
subject_id327 100%327
age_at_collection_days327 100%327
collection_date327 100%327
health_condition_detail327 100%327
intervention327 100%327
intervention_detail327 100%327
timepoint_label327 100%327
sex322 98%322
Details
Archive description

To compare the efficacy, microbiota and metabolite characteristics of selective microbiota transplantation (SMT) and fecal microbiota transplantation (FMT) in the treatment of diarrhea type irritable bowel syndrome (IBS-D)

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.72. Assay shotgun_dna.

  • host run.scientific_name · “Homo sapiens”
  • body site study.description · “fecal microbiota transplantation (FMT)”
  • life stage sample.attr.age · “33 (n=301/327)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN39098828age_at_collection_days13149.0R10.85sample.attr.age36
SAMN39098828collection_date2021-01-11R10.90biosample.attribute:collection_date2021-01-11
SAMN39098828countryCNR10.90sample.attr.geo_loc_nameChina
SAMN39098828health_conditionibsR40.50study.descriptiondiarrhea type irritable bowel syndrome (IBS-D)
SAMN39098828health_condition_detailIBS-D (diarrhea-predominant IBS)R40.50study.descriptiondiarrhea type irritable bowel syndrome (IBS-D)
SAMN39098828interventionfmtR10.90biosample.attribute:treatmenttreatment: FMT
SAMN39098828intervention_detailfecal microbiota transplantation armR10.90biosample.attribute:treatmenttreatment: FMT
SAMN39098828sexmaleR10.90sample.attr.sexmale
SAMN39098828subject_idFMT-003R10.85biosample.attribute:isolateFMT-003
SAMN39098828timepoint_label0R10.70sample.name_rule:library_namesFMT-003-0
Sequencing

327 runs over 327 samples · mean 6.82 Gbp per run (median 6.65 Gbp, total 2,229.14 Gbp; 327 runs with a base count) · layout PAIRED 327 · platform ILLUMINA 327 · models Illumina Genome Analyzer (327) · 94% of runs with a Sandpiper profile · first public 2024-01-10

Authors (0)

No author record.

Downloads

PRJNA1056456.csv.gz (10.5 KB) · parquet (84.2 KB) — all 327 samples, every field with route and confidence · PRJNA1056456_determinations.csv.gz (21.4 KB) — 3,265 evidence rows

Samples (327 · every field this project has values for · hover a cell for its source)
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