Data · dataset · 2026
16S rRNA Gene Amplicon Sequencing Dataset of Gut Microbiota from Chronic Kidney Disease Patients and Healthy Controls in Baghdad, Iraq
Listed in Teesside University Research Data Repository
A comprehensive dataset profiling the gut microbiome of patients diagnosed with chronic kidney disease (CKD) who are not receiving dialysis.
Description
This cross-sectional observational study includes clinical, socio-demographic, and high-throughput metagenomic sequencing data from 154 patients aged 18 to 70 years, recruited from Al-Karama Teaching Hospital, Al-Noor Center, and Al-Hayat Center. The dataset integrates structured questionnaire outputs, clinical profiles (including age, gender, body weight, smoking status, medical history, disease stage, serum creatinine levels, and GFR), and 16S rRNA gene sequencing data.
This dataset was generated to support the comparative metagenomic analysis of gut microbiota across different CKD stages. It enables comprehensive microbial profiling, including Alpha and Beta diversity indices, taxonomy distribution, and composition comparisons between CKD patients and healthy controls. The Mendeley Data repository contains both raw and processed datasets generated from the 16S rRNA sequencing analysis.
Read the rest (1 more)
The repository includes the feature abundance tables (ASV representative sequences in FASTA format, taxonomy assignment tables, sample metadata, diversity analysis results, distance matrices, and PCoA coordinates. The raw sequencing outputs are stored in the "Raw" folder, while the processed and filtered datasets used for downstream analyses are available in the "Processed" folder. All scripts and workflow files used for bioinformatics processing, statistical analysis, and figure generation are provided in the "Code" folder.
Links
Where it is published
- DOI doi.org/10.17632/k4vxvwypg5.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Life Sciences · Medicine & Health · Microbiology
- Inferred from text
- Disease 75% · Sequencing 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/k4vxvwypg5.1 | 10 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3107 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:sequencing | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |