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PRJNA1061168 SRP482061

Gut microbiome in TB patients vs healthy donors, Ufa, Russia

Excess fermentation and lactic acidosis as detrimental functions of the gut microbes in tuberculosis patients across treatment stages

Case-control study of 70 fecal samples from treatment-naive tuberculosis patients and healthy donors in Bashkortostan, Ufa, Russia, examining gut microbiome taxonomic and metabolic (fermentation) differences. machine-written summary

70 samples · 70 runs · RU · Age unknown · 2024 · 3.61 Gbp / sample · cohort Bifidobacterium- and Escherichia-dominant ecologic

Sources
✓Sequence archive 630○Abstract / description○Full text○Supplementary tables✓External resources 70–User contribution–Human verified

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

what each source gave
✓ Sequence archive630 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10910113, PMC11705824, PMC13433188
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources70 sample values (antibiotic exposure) · from BugSigDB
– 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
unknown70
Condition
healthy_control47
other_infection23
Country
RU70
Body site
primary70
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 %)this project, 1–3 Gbp: 1 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 69 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 3.61 Gbp per sample0130Gbp
Community composition
Prevotella 18.8%Bacteroides 12.4%Phocaeicola 11.2%Alistipes 5.3%Faecalibacterium 2.1%Parabacteroides 1.9%Roseburia 1.8%Megamonas 1.5%Limisoma 1.4%Hominicoprocola 1.4%Vescimonas 1.4%CAG-568 1.2%not assigned to a genus 5.1%other genera 34.5%

Genera, mean relative abundance over 60 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country70 100%70
health_condition70 100%70
subject_id70 100%70
antibiotic_exposure70 100%70
collection_date70 100%70
detailed_location70 100%
health_condition_detail70 100%70
latitude70 100%70
location_locality70 100%70
location_region70 100%70
longitude70 100%70
Papers (3)
  • Excess fermentation and lactic acidosis as detrimental functions of the gut microbes in treatment-naive TB patients. 2024 PMID 38440790 PMC10910113 own_data
  • Gut dysbiosis narrative in psoriasis: matched-pair approach identifies only subtle shifts correlated with elevated fecal calprotectin. 2025 PMID 39656003 PMC11705824 unsure
  • Bifidobacterium- and Escherichia-dominant ecological guilds shape altered microbial metabolic capacity of the gut microbiome in tuberculosis patients. 2026 PMID 42553090 PMC13433188 unsure
Details
Archive description

Gut microbiota link to host immunity motivated numerous studies of the gut microbiome in tuberculosis (TB) patients. However, these studies did not explore the metabolic capacity of the gut community, which is a key axis of impact on the host's immunity. We used deep sequencing of fecal samples from 23 treatment-naive TB patients, 23 TB patients after treatment, and 47 healthy donors to reconstruct the metabolic capacity and strain/species-level content of the gut microbiome. We show that the strong taxonomic divergence of the gut community in TB patients is explained by the systematic depletion of the commensal flora of the large intestine, Bacteroidetes, and an increase in Actinobacteria, Firmicutes, and Proteobacteria such as Streptococcaceae, Erysipelotrichaceae, Lachnospiraceae, and Enterobacteriaceae. The cumulative expansion of diverse disease-associated pathobionts in patients reached 1/4 of the total gut microbiota, suggesting a heavy toll on host immunity along with MTB infection. Reconstruction of metabolic pathways showed that the microbial community in patients shifted toward rapid growth using glycolysis and excess fermentation to produce acetate and lactate. Higher glucose availability in the intestine likely drives fermentation to lactate and growth, causing acidosis and endotoxemia. Excessive fermentation and lactic acidosis are likely characteristics of TB patients' disturbed gut microbiomes. Since lactic acidosis strongly suppresses the normal gut flora, directly interferes with macrophage function, and is linked to mortality in TB patients, our findings highlight gut lactate acidosis as a novel research focus. If confirmed, gut acidosis may prove as a novel potential host-directed treatment target that can augment traditional TB treatment.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site study.description · “fecal samples from 23 treatment-naive TB patients”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN39257264antibiotic_exposurenoR20.60external.bugsigdb sourceAntibiotics exclusion: 1 month
SAMN39257264collection_date2019-10-21R10.90biosample.attribute:collection_date2019-10-21
SAMN39257264countryRUR10.90sample.attr.geo_loc_nameRussia: Bashkortostan, Ufa
SAMN39257264health_conditionhealthy_controlR10.70sample.name_rule:library_namesHC10
SAMN39257264health_condition_detailHCR10.70sample.name_rule:library_namesHC10
SAMN39257264latitude54.7337R10.90biosample.attribute:lat_lon54.733742 N 55.961797 E
SAMN39257264location_localityUfaR10.85biosample.attribute:geo_loc_nameRussia: Bashkortostan, Ufa
SAMN39257264location_regionBashkortostanR10.85biosample.attribute:geo_loc_nameRussia: Bashkortostan, Ufa
SAMN39257264longitude55.9618R10.90biosample.attribute:lat_lon54.733742 N 55.961797 E
SAMN39257264subject_idhealth control 10R10.70biosample.attribute:source_material_idhealth control 10
Sequencing

70 runs over 70 samples · mean 4.19 Gbp per run (median 3.61 Gbp, total 293.46 Gbp; 70 runs with a base count) · layout PAIRED 70 · platform ILLUMINA 70 · models Illumina NovaSeq 6000 (47), Illumina HiSeq 2500 (23) · 86% of runs with a Sandpiper profile · first public 2024-01-28 – 2024-02-25

Authors (17)

Yunusbaeva M first · Borodina L · Terentyeva D · Bogdanova A · Zakirova A · Bulatov S · Altinbaev R · Bilalov F · Yunusbayev B last · Nadyrchenko N · Danilov L · Bogdanov V · Sergeev G · Sabirova D · Khasanova K · Yunusbayeva A · Ganiev I

Downloads

PRJNA1061168.csv.gz (2.2 KB) · parquet (73.0 KB) — all 70 samples, every field with route and confidence · PRJNA1061168_determinations.csv.gz (5.9 KB) — 700 evidence rows

Samples (70 · every field this project has values for · hover a cell for its source)
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