IBD Surgery Effects on Gut Microbiome and Metabolome (UCSD)
382 stool samples from IBD patients (Crohn's disease, ulcerative colitis, and unspecified IBD) at UC San Diego, studying surgery (ileocolonic resection, colectomy) effects on microbiome and metabolome in a longitudinal design. machine-written summary
382 samples · 382 runs · US · Age unknown · 2021 · 8.68 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 3,044 sample values (antibiotic exposure, collection date, health condition, health condition detail, intervention, intervention detail, medication, sex) |
| ✓ Abstract / description | 114 sample values (health condition, health condition detail) |
| ✓ Full text | 1,528 sample values (country, location locality, location region, location site) · PMC8047854 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
intervention · arms resolved
6 people have samples in more than one arm.
Surgical procedure studied before/after (bariatric surgery design observational_with_procedure · population ibd_unspecified · Ileocolonic resection or colectomy in IBD patients
“ileocolonic resections, and 17 had colectomies” — bioproject.description (study level; per-sample arms are in the intervention column below)
antibiotic exposure: two sequence archives disagree for 4 samples (e.g. no vs yes) — withheld; sex differs between samples of the same subject id (3 subjects, 11 samples) — sex withheld; subject ids shared by samples of both sexes (1 ids, 2 samples) — ids withheld.
The sources disagree on 15 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 (17)
| sample | field | value | other value | handling |
|---|---|---|---|---|
| SAMEA6844973 | antibiotic exposure | no (sequence archive) | yes (sequence archive) | withheld: neither value published |
| SAMEA6844989 | antibiotic exposure | no (sequence archive) | yes (sequence archive) | withheld: neither value published |
| SAMEA6845187 | antibiotic exposure | no (sequence archive) | yes (sequence archive) | withheld: neither value published |
| SAMEA6845256 | antibiotic exposure | no (sequence archive) | yes (sequence archive) | withheld: neither value published |
| SAMEA6845002 | sex | female (sequence archive) | subject 100033: female in 1 sample, male in 1 sample | withheld: neither value published |
| SAMEA6845010 | sex | male (sequence archive) | subject 100033: female in 1 sample, male in 1 sample | withheld: neither value published |
| SAMEA6845018 | sex | male (sequence archive) | subject 100046: male in 4 samples, female in 1 sample | withheld: neither value published |
| SAMEA6845019 | sex | male (sequence archive) | subject 100046: male in 4 samples, female in 1 sample | withheld: neither value published |
| SAMEA6845020 | sex | male (sequence archive) | subject 100046: male in 4 samples, female in 1 sample | withheld: neither value published |
| SAMEA6845021 | sex | male (sequence archive) | subject 100046: male in 4 samples, female in 1 sample | withheld: neither value published |
| SAMEA6845023 | sex | female (sequence archive) | subject 100046: male in 4 samples, female in 1 sample | withheld: neither value published |
| SAMEA6845113 | sex | female (sequence archive) | subject 100089: female in 3 samples, male in 1 sample | withheld: neither value published |
| SAMEA6845114 | sex | female (sequence archive) | subject 100089: female in 3 samples, male in 1 sample | withheld: neither value published |
| SAMEA6845115 | sex | female (sequence archive) | subject 100089: female in 3 samples, male in 1 sample | withheld: neither value published |
| SAMEA6845120 | sex | male (sequence archive) | subject 100089: female in 3 samples, male in 1 sample | withheld: neither value published |
| SAMEA6845002 | subject id | 100033 | female (sequence archive) | subject id withheld (samples of both sexes share it) |
| SAMEA6845010 | subject id | 100033 | male (sequence archive) | subject id withheld (samples of both sexes share it) |
longitudinal
102 of 179 people sampled more than once (303 samples; median 3, up to 5 per person) · follow-up median 12 mo (max 2.0 y) · median interval between samples 6 mo (time from timepoint numbers, unit from the stated sampling schedule). Schedule stated by the source: “Stool collected at baseline and follow-up months up to 24 months post initial sampling (e.g., 0,1,3,6,9,12,15,18,19,24)”.
Each row is one person (36 shown of 102); dots are samples at days since that person's first sample.
Genera, mean relative abundance over 259 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 382 | 100% | 382 | |||
| health_condition | 382 | 100% | 325 | 57 | ||
| subject_id | 380 | 99% | 380 | |||
| collection_date | 382 | 100% | 382 | |||
| detailed_location | 382 | 100% | ||||
| health_condition_detail | 382 | 100% | 325 | 57 | ||
| location_locality | 382 | 100% | 382 | |||
| location_region | 382 | 100% | 382 | |||
| location_site | 382 | 100% | 382 | |||
| intervention | 325 | 85% | 325 | |||
| medication | 325 | 85% | 325 | |||
| timepoint_label | 325 | 85% | 325 | |||
| antibiotic_exposure | 321 | 84% | 321 | |||
| sex | 314 | 82% | 314 | |||
| intervention_detail | 22 | 6% | 22 |
- Gastrointestinal Surgery for Inflammatory Bowel Disease Persistently Lowers Microbiome and Metabolome Diversity. 2021 PMID 33026068 PMC8047854 own_data
Archive description
Background Many studies have investigated the role of the microbiome in inflammatory bowel disease (IBD), but few have focused on surgery specifically or its consequences on the metabolome that may differ by surgery type and require longitudinal sampling. Our objective was to characterize and contrast microbiome and metabolome changes after different surgeries for IBD, including ileocolonic resection and colectomy. Methods The UC San Diego IBD Biobank was used to prospectively collect 332 stool samples from 129 subjects (50 ulcerative colitis 79 Crohn’s disease). Of these, 21 with Crohn’s disease had ileocolonic resections, and 17 had colectomies. We used shotgun metagenomics and untargeted liquid chromatography followed by tandem mass spectrometry metabolomics to characterize the microbiomes and metabolomes of these patients up to 24 months after the initial sampling. Results The species diversity and metabolite diversity both differed significantly among groups (species diversity: Mann-Whitney U test P value = 7.8e-17 metabolomics, P-value = 0.0043). Escherichia coli in particular expanded dramatically in relative abundance in subjects undergoing surgery. The species profile was better able to classify subjects according to surgery status than the metabolite profile (average precision 0.80 vs 0.68). Conclusions Intestinal surgeries seem to reduce the diversity of the gut microbiome and metabolome in IBD patients, and these changes may persist. Surgery also further destabilizes the microbiome (but not the metabolome) over time, even relative to the previously established instability in the microbiome of IBD patients. These long-term effects and their consequences for health outcomes need to be studied in prospective longitudinal trials linked to microbiome-involved phenotypes.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.65. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- host run.scientific_name · “human gut metagenome”
- body site study.description · “332 stool samples from 129 subjects”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA6844943 | antibiotic_exposure | yes | R1 | 0.90 | biosample_attr | y |
| SAMEA6844885 | collection_date | 2017 | R1 | 0.85 | biosample.attribute:collection_timestamp | 2017 |
| SAMEA6844885 | country | US | R3 | 0.70 | paper.fulltext.methods | University of California, San Diego (UCSD) at the Inflammatory Bowel Disease Center |
| SAMEA6844943 | health_condition | crohns_disease | R1 | 0.90 | biosample_attr | cd |
| SAMEA6844885 | health_condition | ibd_unspecified | R4 | 0.50 | study.description | inflammatory bowel disease (IBD) |
| SAMEA6844943 | health_condition_detail | cd | R1 | 0.90 | sample.attr.disease | cd |
| SAMEA6844885 | health_condition_detail | Mixed IBD cohort: ulcerative colitis and Crohn's disease | R4 | 0.50 | study.description | inflammatory bowel disease (IBD) |
| SAMEA6844943 | intervention | surgery | R1 | 0.80 | biosample.attribute:weeks_from_surgery | weeks_from_surgery: 74 |
| SAMEA6844944 | intervention | no_intervention | R1 | 0.85 | biosample.attribute:colon_present;biosample.attribute:has_surgery;biosample.attribute:ic_valve_removed;biosample.attribute:interval_surgery;biosample.attribute:small_bowel_resection | colon;n |
| SAMEA6845040 | intervention | surgery | R1 | 0.85 | biosample.attribute:ic_valve_removed | y |
| SAMEA6845136 | intervention | surgery | R1 | 0.85 | biosample.attribute:has_surgery;biosample.attribute:small_bowel_resection | y |
| SAMEA6845243 | intervention | surgery | R1 | 0.85 | biosample.attribute:ic_valve_removed;biosample.attribute:interval_surgery | y |
| SAMEA6844943 | intervention_detail | weeks_from_surgery = 74 (after intervention start) | R1 | 0.80 | biosample.attribute:weeks_from_surgery | weeks_from_surgery: 74 |
| SAMEA6844885 | location_locality | San Diego | R3 | 0.70 | paper.fulltext.methods | University of California, San Diego (UCSD) |
| SAMEA6844885 | location_region | California | R3 | 0.70 | paper.fulltext.methods | University of California, San Diego |
| SAMEA6844885 | location_site | UCSD Inflammatory Bowel Disease Center | R3 | 0.70 | paper.fulltext.methods | seen at the University of California, San Diego (UCSD) |
| SAMEA6844943 | medication | immunosuppressant_or_biologic | R1 | 0.85 | biosample.attribute:current_tnf_inhibitor;biosample.attribute:tnf_exposure | y |
| SAMEA6844946 | medication | corticosteroid | R1 | 0.90 | biosample.attribute:current_steroid_use | y |
| SAMEA6844948 | medication | other_medication | R1 | 0.85 | biosample.attribute:use_5asa | y |
| SAMEA6844952 | medication | immunosuppressant_or_biologic | R1 | 0.85 | biosample.attribute:current_integrin_inhibitor_use;biosample.attribute:immune_modulator_use;biosample.attribute:tnf_exposure | y |
| SAMEA6844953 | medication | immunosuppressant_or_biologic | R1 | 0.85 | biosample.attribute:tnf_exposure | y |
| SAMEA6844963 | medication | other_medication;probiotic_or_prebiotic | R1 | 0.85 | biosample.attribute:probiotics;biosample.attribute:use_5asa | y |
| SAMEA6844975 | medication | corticosteroid | R1 | 0.90 | biosample.attribute:steroid_course | y |
| SAMEA6845099 | medication | immunosuppressant_or_biologic;other_medication | R1 | 0.85 | biosample.attribute:tnf_exposure;biosample.attribute:use_5asa | y |
| SAMEA6845166 | medication | immunosuppressant_or_biologic | R1 | 0.85 | biosample.attribute:immune_modulator_use;biosample.attribute:tnf_exposure;biosample.attribute:ustekinumab_use | y |
| SAMEA6844943 | sex | male | R1 | 0.90 | sample.attr.sex | male |
| SAMEA6844885 | subject_id | MG.BLANK.1.11D | R1 | 0.85 | sample.attr.host_subject_id | MG.BLANK.1.11D |
| SAMEA6844943 | timepoint_label | 24 | R1 | 0.85 | sample.attr.time_point_month | 24 |
Sequencing
382 runs over 382 samples · mean 8.19 Gbp per run (median 8.68 Gbp, total 3,126.76 Gbp; 382 runs with a base count) · layout PAIRED 382 · platform ILLUMINA 382 · models Illumina HiSeq 2500 (382) · 68% of runs with a Sandpiper profile · first public 2021-05-07
Authors (26)
Fang X first · Vázquez-Baeza Y · Elijah E · Vargas F · Ackermann G · Humphrey G · Lau R · Weldon KC · Sanders JG · Panitchpakdi M · Carpenter C · Jarmusch AK · Neill J · Miralles A · Dulai P · Singh S · Tsai M · Swafford AD · Smarr L · Boyle DL · Palsson BO · Chang JT · Dorrestein PC · Sandborn WJ · Knight R · Boland BS last
Downloads
PRJEB38352.csv.gz (12.6 KB) · parquet (88.1 KB) — all 382 samples, every field with route and confidence · PRJEB38352_determinations.csv.gz (30.6 KB) — 4,686 evidence rows