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PRJNA1081608 SRP492182

Gut microbiome in peritoneal dialysis peritonitis, case-control

Risk factor assessment and microbiome analysis in peritoneal dialysis-related peritonitis reveal etiological characteristics

75 samples (anal swabs and peritoneal dialysis fluid) from peritoneal dialysis patients with kidney disease, used to study peritonitis risk factors and gut microbiota via mNGS in a case-control design. machine-written summary

75 samples · 75 runs · CN · Age unknown · 2024 · 31.5 Mbp / sample

Sources
○Sequence archive✓Abstract / description 185✓Full text 150○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 archiverecords read; no usable sample values
✓ Abstract / description185 sample values (health condition, health condition detail, subject id)
✓ Full text150 sample values (collection date, country) · PMC11602453
○ 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
Samples at a glance
1 country
Age
unknown75
Condition
kidney_disease75
Country
CN75
Body site
excluded40
primary35
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 37 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 18 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 9 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 11 samplesall 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 %)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 0.03 Gbp per sample0130Gbp
Community composition
Prevotella 18.9%Bacteroides 11.7%Phocaeicola 9.8%Anaerococcus 2.4%Peptoniphilus_A 2.3%Porphyromonas 2.2%Porphyromonas_A 2.2%Faecalibacterium 2.0%Finegoldia 2.0%Bifidobacterium 1.9%Parabacteroides 1.9%Dialister 1.5%not assigned to a genus 21.6%other genera 19.5%

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_category0 0%
country75 100%75
health_condition75 100%75
subject_id35 47%35
collection_date75 100%75
health_condition_detail75 100%75
Papers (1)
  • Risk factor assessment and microbiome analysis in peritoneal dialysis-related peritonitis reveal etiological characteristics. 2024 PMID 39611142 PMC11602453 own_data
Details
Archive description

Peritoneal dialysis-related peritonitis (PDRP) is one of the most common complications of peritoneal dialysis (PD). Understanding the risk factors and etiological characteristics is indispensable for infection prevention and improving the outcome and life quality. In this study, mNGS was performed on peritoneal dialysis fluid and anal swabs of 41 PD patients to evaluate the detection performance of mNGS in PDRP patients and the intestinal microecological characteristics of PD patients.

How this project entered the registry

Classified as human gut / stool / other human site / blood / tissue / internal fluids shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.60. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.description · “peritoneal dialysis fluid and anal swabs”
  • body site sample.attr.isolation_source · “dialysis effluent (n=40/75)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN40181175collection_date2015-08/2022-08R30.70paper.fulltext.methodsFrom 01/08/2015 to 31/08/2022
SAMN40181175countryCNR30.70paper.fulltext.methodsThe First Hospital of Jilin University
SAMN40181175health_conditionkidney_diseaseR40.50study.descriptionPD patients
SAMN40181175health_condition_detailperitoneal dialysis patients (kidney disease requiring dialysis)R40.50study.descriptionPD patients
SAMN40181175subject_idSAMN40181175R40.60design.one_sample_per_subject:abstractGut microbiota analysis was performed in 35 PDRP patients based on mNGS data.
Sequencing

75 runs over 75 samples · mean 0.12 Gbp per run (median 31.5 Mbp, total 8.90 Gbp; 75 runs with a base count) · layout SINGLE 75 · platform ILLUMINA 75 · models NextSeq 550 (75) · 24% of runs with a Sandpiper profile · first public 2024-03-03

Authors (9)

Zhang L first · Zhang H · Su S · Jia Y · Liang C · Fang Y · Hong D · Li T · Ma F last

Help complete this project

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

Downloads

PRJNA1081608.csv.gz (2.7 KB) · parquet (72.9 KB) — all 75 samples, every field with route and confidence · PRJNA1081608_determinations.csv.gz (2.1 KB) — 335 evidence rows

Samples (75 · every field this project has values for · hover a cell for its source)
Loading the sample table…