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PRJNA891875 SRP404263

Gut virome in T2D and diabetic nephropathy, Sichuan, China

Human gut Metagenome

Case-control study of 132 fecal samples from adults in Sichuan province, China, comparing gut virome and 16S profiles across type 2 diabetes, diabetic nephropathy, and healthy controls. machine-written summary

132 samples · 132 runs · CN · Adult · 2023 · 10.11 Gbp / sample

Sources
✓Sequence archive 578○Abstract / description✓Full text 396✓Supplementary tables 82–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive578 sample values (collection date, country, health condition, health condition detail, location region)
○ Abstract / descriptionread; no usable statement
✓ Full text396 sample values (antibiotic exposure, location site, subject id) · PMC10291934
✓ Supplementary tables82 sample values (health condition, health condition detail)
– 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 country
Age
adult132
Condition
type2_diabetes90
healthy_control42
Country
CN132
Body site
primary132
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: 3 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 61 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 67 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)this project, 30–100 Gbp: 1 samplesall projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 10.11 Gbp per sample0130Gbp
Community composition
Prevotella 12.0%Burkholderia 10.4%Faecalibacterium 6.7%Megamonas 6.6%Phocaeicola 4.9%Paraburkholderia 4.3%Romboutsia 3.9%Bacteroides 3.8%Ruminococcus_C 3.5%Gemmiger 1.9%Caballeronia 1.6%Intestinibacter 1.0%not assigned to a genus 20.1%other genera 19.2%

Genera, mean relative abundance over 119 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category132 100%
country132 100%132
health_condition132 100%9141
subject_id132 100%132
antibiotic_exposure132 100%132
collection_date132 100%132
detailed_location132 100%
health_condition_detail132 100%9141
location_region132 100%132
location_site132 100%132
Papers (2)
  • Alterations in the gut virome are associated with type 2 diabetes and diabetic nephropathy. 2023 PMID 37349979 PMC10291934 own_data
  • Characterization of the phyllosphere virome of fresh vegetables and potential transfer to the human gut. 2025 PMID 40210629 PMC11986028 unsure
Details
Archive description

Human gut virome and 16S sequencing

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • body site study.title · “Human gut Metagenome”
  • body site study.description · “Human gut virome and 16S”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN31628617antibiotic_exposurenoR30.70paper.fulltext.methodshad received antibiotics, probiotics or immunosuppressive medications in the previous 3 months
SAMN31628617collection_date2021R10.90biosample.attribute:collection_date2021
SAMN31628617countryCNR10.90sample.attr.geo_loc_nameChina:Sichuan province
SAMN31628617health_conditionhealthy_controlR10.70sample.name_rule:library_namesControl-1
SAMN31628659health_conditiontype2_diabetesR20.85paper.supp.Supplementary Table S1.xls[Table S1!Group]T2D-Ne
SAMN31628617health_condition_detailControlR10.70sample.name_rule:library_namesControl-1
SAMN31628659health_condition_detailT2D-NeR20.85paper.supp.Supplementary Table S1.xls[Table S1!Group]T2D-Ne
SAMN31628617location_regionSichuanR10.85biosample.attribute:geo_loc_nameChina:Sichuan province
SAMN31628617location_siteAffiliated Hospital of Chengdu University of Traditional Chinese MedicineR30.70paper.fulltext.methodsAffiliated Hospital of Chengdu University of Traditional Chinese Medicine
SAMN31628617subject_idSAMN31628617R30.70design.one_sample_per_subject:fulltextA total of 132 participants were enrolled.
Sequencing

132 runs over 132 samples · mean 10.51 Gbp per run (median 10.11 Gbp, total 1,387.00 Gbp; 132 runs with a base count) · layout PAIRED 132 · platform ILLUMINA 132 · models Illumina NovaSeq 6000 (132) · 90% of runs with a Sandpiper profile · first public 2023-06-25

Authors (30)

Fan G first · Cao F · Kuang T · Yi H · Zhao C · Wang L · Peng J · Zhuang Z · Xu T · Luo Y · Xie Y · Li H · Zhang K · Zeng Y · Zhang X · Peng S · Qiu X · Zhou D · Liang H · Yang B · Kang J · Liu Y · Zhang Y last · Park JW first · Yun YE · Cho JA · Yoon SI · In SA · Park EJ · Kim MS last

Downloads

PRJNA891875.csv.gz (4.6 KB) · parquet (76.6 KB) — all 132 samples, every field with route and confidence · PRJNA891875_determinations.csv.gz (7.4 KB) — 1,056 evidence rows

Samples (132 · every field this project has values for · hover a cell for its source)
Loading the sample table…