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PRJNA445968 SRP136611

Stool microbiome in TB therapy, Port-au-Prince, Haiti

Innate, Transcriptomic, and Microbiomic Correlates of Tuberculosis Infection and Disease

92 fecal samples from TB patients and healthy controls in Port-au-Prince, Haiti, studying gut microbiome changes with antibiotic therapy; case-control design. machine-written summary

92 samples · 92 runs · HT · Adult · 2018 · 0.69 Gbp / sample

Sources
✓Sequence archive 518✓Abstract / description 63✓Full text 92○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 archive518 sample values (age, collection date, country, health condition, health condition detail, location locality, sex)
✓ Abstract / description63 sample values (health condition detail)
✓ Full text92 sample values (location site) · PMC5589918, PMC6237486, PMC7892575, PMC8534371
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

intervention — arms not resolved

Antibiotic given as the study intervention (incl. eradication therapy design single_arm_before_after · population other_infection · Multidrug anti-TB antibiotic therapy (6 months standard regimen, or short-course monotherapy) with pre/post sampling

“cases during antimycobacterial treatment and following cure by 6 months of antibiotics” — abstract:28883399 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
adult77
adolescent11
child3
elderly1
Condition
healthy_control29
Sex
female54
male38
Country
HT92
Body site
primary92
Collected 2015–2017
2015: 56 samples2016: 23 samples2017: 13 samples20152017
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: 69 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 23 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)all 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 0.69 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolvedhouseholds — not resolved

Schedule stated by the source: “baseline/day 14 (HRZE vs NTZ arm) and 6-month longitudinal HRZE treatment follow-up” (time origin: intervention_start); stated follow-up 6 mo.

Household contacts of active TB cases (DESCRIPTION=family_contact) vs community controls; household/index-case links not reported.

How longitudinal and relatedness information is derived

Community composition
Prevotella 20.9%Faecalibacterium 7.6%Roseburia 5.0%Bifidobacterium 4.0%Bacteroides 3.3%Vescimonas 2.3%Ruminococcoides 1.9%Phocaeicola 1.9%Blautia_A 1.8%Succinivibrio 1.6%Cryptobacteroides 1.5%Dialister 1.5%not assigned to a genus 15.4%other genera 31.3%

Genera, mean relative abundance over 84 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_condition29 32%29
subject_id0 0%
age_at_collection_days92 100%92
collection_date92 100%92
detailed_location92 100%
health_condition_detail92 100%2963
location_locality92 100%92
location_site92 100%92
sex92 100%92
Papers (4)
  • Antibiotic treatment for Tuberculosis induces a profound dysbiosis of the microbiome that persists long after therapy is completed. 2017 PMID 28883399 PMC5589918 own_data
  • Mucosal-associated invariant and γδ T cell subsets respond to initial Mycobacterium tuberculosis infection. 2018 PMID 30282828 PMC6237486 own_data
  • Gastrointestinal microbiota composition predicts peripheral inflammatory state during treatment of human tuberculosis. 2021 PMID 33602926 PMC7892575 own_data
  • Transcriptomic Biomarkers for Tuberculosis: Validation of NPC2 as a Single mRNA Biomarker to Diagnose TB, Predict Disease Progression, and Monitor Treatment Response. 2021 PMID 34685683 PMC8534371 own_data
Details
Archive description

The lifecycle of M. tuberculosis within the human host is marked by critical transition points between the major phases of infection: Initial infection, latent disease, active tuberculosis, and resolution with antibiotic therapy. Through observation of patients in each of these stages, we have some knowledge about host determinants that maintain each of these stages, such as the need for sufficient CD4 T cells, interferon gamma and tumor necrosis factor alpha in the control of latency. However, the vast majority of HIV negative TB patients do not have defined deficiencies in these immune factors and therefore the host determinants of the heterogeneous ability of TB patients to control M. tuberculosis infection, either in the context of initial infection after exposure, reactivation of latent infection, or relapse-free elimination of M. tuberculosis after antimicrobial therapy, are unknown. To address these knowledge gaps, we have assembled a set of patient cohorts to examine three interrelated host factors that we hypothesize may contribute to the heterogeneity in host control of M. tuberculosis during the transition from uninfected> LTBl and infected>cured. These factors are Mucosal Associated Invariant T (MAIT) cells, whole blood transcriptomic signatures, and stool microbiomic composition. We will initially examine these factors in two cohorts of TB patients: 1) Patients either resistant to initial infection or recently infected from a household contact, a comparison which will yield correlates of innate resistance to infection and 2) Patients undergoing therapy for active pulmonary tuberculosis, either with short course monotherapy or standard multidrug therapy, to determine correlates of clearance of replicating and persister M. tuberculosis. We anticipate that these studies will provide a set of quantitative molecular assays that will both expand our knowledge ofthe heterogeneity of host control of M. tuberculosis infection, and potentially supply biomarkers that will allow identification of patients resistant to infection, destined to reactivate from latency, or to relapse after antimicrobial therapy.

How this project entered the registry

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

  • host study.description · “lifecycle of M. tuberculosis within the human host”
  • body site run.scientific_name · “human gut metagenome”
  • life stage study.description · “active tuberculosis, and resolution with antibiotic therapy”
  • life stage sample.attr.age · “13 (n=12/92)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN08804291age_at_collection_days17872.0R10.85sample.attr.age49
SAMN08804291collection_date2015-05-22R10.90biosample.attribute:collection_date2015-05-22
SAMN08804291countryHTR10.90sample.attr.geo_loc_nameHaiti:Port-au-Prince
SAMN08804296health_conditionhealthy_controlR10.85biosample.attribute:descriptiondescription: community_control
SAMN08804296health_condition_detailcommunity_controlR10.85biosample.attribute:descriptiondescription: community_control
SAMN08804291health_condition_detailmixed_case_control: Longitudinal study of TB patients before, during, and after treatmentR40.50paper.abstractTB cases during antimycobacterial treatment and following cure
SAMN08804291location_localityPort-au-PrinceR10.85biosample.attribute:geo_loc_nameHaiti:Port-au-Prince
SAMN08804291location_siteGHESKIO CentersR30.70paper.fulltext.methodsin conjunction with the GHESKIO Centers, in Port-au-Prince
SAMN08804291sexfemaleR10.90sample.attr.sexfemale
Sequencing

92 runs over 92 samples · mean 0.80 Gbp per run (median 0.69 Gbp, total 73.70 Gbp; 92 runs with a base count) · layout PAIRED 92 · platform ILLUMINA 92 · models Illumina HiSeq 4000 (92) · 91% of runs with a Sandpiper profile · first public 2018-03-30

Authors (44)

Wipperman MF first · Fitzgerald DW · Juste MAJ · Taur Y · Namasivayam S · Sher A · Bean JM · Bucci V · Glickman MS last · Vorkas CK first · Li K · Bean J · Bhattarai SK · Adamow M · Wong P · Aubé J · Maringati VS · Mathurin L · McAulay K · Vilbrun SC · Francois D · Walsh KF · Nathan C · de Araujo LS first · Ribeiro-Alves M · Pessler F · Saad MHF last · Mancabelli L first · Milani C · De Biase R · Bocchio F · Fontana F · Lugli GA · Alessandri G · Tarracchini C · Viappiani A · De Conto F · Nouvenne A · Ticinesi A · Bussolati O · Meschi T · Cecchi R · Turroni F · Ventura M last

Help complete this project

2 of the 4 core fields are below 50% coverage: health_condition, subject_id. Share metadata

Downloads

PRJNA445968.csv.gz (3.9 KB) · parquet (75.0 KB) — all 92 samples, every field with route and confidence · PRJNA445968_determinations.csv.gz (5.7 KB) — 673 evidence rows

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