Gut microbiome in TB patients vs healthy donors, Ufa, Russia
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
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 630 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude) |
| ○ Abstract / description | read; no usable statement |
| ○ Full text | read; no usable statement or table · PMC10910113, PMC11705824, PMC13433188 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| ✓ External resources | 70 sample values (antibiotic exposure) · from BugSigDB |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
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 | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 70 | 100% | 70 | |||
| health_condition | 70 | 100% | 70 | |||
| subject_id | 70 | 100% | 70 | |||
| antibiotic_exposure | 70 | 100% | 70 | |||
| collection_date | 70 | 100% | 70 | |||
| detailed_location | 70 | 100% | ||||
| health_condition_detail | 70 | 100% | 70 | |||
| latitude | 70 | 100% | 70 | |||
| location_locality | 70 | 100% | 70 | |||
| location_region | 70 | 100% | 70 | |||
| longitude | 70 | 100% | 70 |
- 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
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)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN39257264 | antibiotic_exposure | no | R2 | 0.60 | external.bugsigdb source | Antibiotics exclusion: 1 month |
| SAMN39257264 | collection_date | 2019-10-21 | R1 | 0.90 | biosample.attribute:collection_date | 2019-10-21 |
| SAMN39257264 | country | RU | R1 | 0.90 | sample.attr.geo_loc_name | Russia: Bashkortostan, Ufa |
| SAMN39257264 | health_condition | healthy_control | R1 | 0.70 | sample.name_rule:library_names | HC10 |
| SAMN39257264 | health_condition_detail | HC | R1 | 0.70 | sample.name_rule:library_names | HC10 |
| SAMN39257264 | latitude | 54.7337 | R1 | 0.90 | biosample.attribute:lat_lon | 54.733742 N 55.961797 E |
| SAMN39257264 | location_locality | Ufa | R1 | 0.85 | biosample.attribute:geo_loc_name | Russia: Bashkortostan, Ufa |
| SAMN39257264 | location_region | Bashkortostan | R1 | 0.85 | biosample.attribute:geo_loc_name | Russia: Bashkortostan, Ufa |
| SAMN39257264 | longitude | 55.9618 | R1 | 0.90 | biosample.attribute:lat_lon | 54.733742 N 55.961797 E |
| SAMN39257264 | subject_id | health control 10 | R1 | 0.70 | biosample.attribute:source_material_id | health 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