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PRJNA1273449 SRP590718

Gut microbiota in lymph node tuberculosis, Shenzhen, China

Gut Microbiota Are Associated with Lymph Node Tuberculosis

Case-control metagenomic study of 17 gut microbiome samples from adults in Shenzhen, China, comparing lymph node tuberculosis patients with healthy individuals, alongside plasma metabolomics to assess SCFA-related dysbiosis. machine-written summary

17 samples · 17 runs · CN · Age unknown · 2025 · 13.42 Gbp / sample

Sources
✓Sequence archive 136○Abstract / description○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 archive136 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 · PMC12298930
○ Supplementary tablesfiles read; no table could be matched to the samples
– 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
Samples at a glance
1 sampling locations · 1 country
Age
adult17
Condition
other_infection9
healthy_control8
Country
CN17
Body site
primary17
Collected 2024–2025
2024: 11 samples2025: 6 samples20242025
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 %)all projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 17 samplesall 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 13.42 Gbp per sample0130Gbp
Community composition
Bifidobacterium 11.8%Bacteroides 11.6%Blautia_A 8.0%Phocaeicola 6.4%Faecalibacterium 4.9%Escherichia 4.0%Gemmiger 3.6%Roseburia 3.4%Anaerostipes 2.9%Ruminococcoides 2.5%Mediterraneibacter 2.5%Prevotella 2.2%not assigned to a genus 2.6%other genera 33.5%

Genera, mean relative abundance over 17 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category17 100%
country17 100%17
health_condition17 100%17
subject_id0 0%
collection_date17 100%17
detailed_location17 100%
health_condition_detail17 100%17
latitude17 100%17
location_locality17 100%17
location_region17 100%17
longitude17 100%17
Papers (1)
  • Disorders of Gut Microbiota and Plasma Metabolic Profiles May Be Associated with Lymph Node Tuberculosis. 2025 PMID 40731966 PMC12298930 own_data
Details
Archive description

The association of gut microbiota with lymph node tuberculosis (LNTB) remains unexplored. This study employed metagenomic sequencing and plasma metabolomics analyses to investigate the role of gut microbiota in LNTB patients. Significant alterations in gut microbial diversity were observed in LNTB patients, characterized by a notable reduction in bacterial taxa involved in short chain fatty acid (SCFA) synthesis, including Ruminococcus, Faecalibacterium, Roseburia, and Blautia, compared to healthy individuals.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.60. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host study.description · “gut microbiota in LNTB patients”
  • body site study.title · “Gut Microbiota Are Associated with Lymph Node Tuberculosis”
  • body site run.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN48946918collection_date2025-01R10.90biosample.attribute:collection_date2025-01
SAMN48946918countryCNR10.90sample.attr.geo_loc_nameChina:Shenzhen
SAMN48946918health_conditionhealthy_controlR10.70sample.name_rule:aliasHealth4
SAMN48946918health_condition_detailHealthR10.70sample.name_rule:aliasHealth4
SAMN48946918latitude22.5500R10.90biosample.attribute:lat_lon22.55 N 114.05 E
SAMN48946918location_localityShenzhenR10.85biosample.attribute:geo_loc_nameChina:Shenzhen
SAMN48946918location_regionGuangdongR10.60biosample.attribute:lat_lon22.55 N 114.05 E
SAMN48946918longitude114.0500R10.90biosample.attribute:lat_lon22.55 N 114.05 E
Sequencing

17 runs over 17 samples · mean 13.09 Gbp per run (median 13.42 Gbp, total 222.61 Gbp; 17 runs with a base count) · layout PAIRED 17 · platform ILLUMINA 17 · models Illumina NovaSeq 6000 (17) · 100% of runs with a Sandpiper profile · first public 2025-06-09

Authors (12)

Long Y first · Huang J · Zheng S · Bai S · Liu Z · Li X · Gao W · Ke X · Tang Y · Yang L · Wang H · Li G last

Downloads

PRJNA1273449.csv.gz (1.4 KB) · parquet (70.5 KB) — all 17 samples, every field with route and confidence · PRJNA1273449_determinations.csv.gz (1.5 KB) — 136 evidence rows

Samples (17 · every field this project has values for · hover a cell for its source)
Loading the sample table…