An exploratory study analyzing subgingival plaque samples from 25 elderly patients (8 males, 17 females aged 50-73 years) with moderate periodontitis. Ya-Qiong Zhao collected and sequenced samples using 16S rRNA gene sequencing (V3–V4 region) and performed functional prediction via the KEGG database. The dataset was last updated on 2026-04-24.
Use Cases
- Compare microbial diversity (Chao1) between sexes based on the described analysis.
- Identify sex-specific bacterial taxa enrichment (e.g., Lactobacillus in females) based on Wilcoxon rank-sum and LEfSe results.
- Predict functional pathway differences (e.g., Immune system and Metabolic pathways) between sexes based on KEGG analysis.
- Explore clustering patterns in microbiome composition using beta diversity analysis described in the results.
Strengths
- Includes 16S rRNA gene sequencing data from 25 patient samples.
- Provides sex-stratified results (8 males, 17 females) and age range (50-73 years).
- Contains functional pathway predictions using the KEGG database.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is small (203.7 KB), indicating limited scope.
Provenance
- Source
- Ya-Qiong Zhao via figshare.
- Collection Method
- Subgingival plaque samples collected and analyzed via 16S rRNA gene sequencing (V3–V4 region).
- Freshness
- Last updated 2026-04-24 02:01:15; freshness should be verified.