Table 1_Sex-specific variations in subgingival microbiome of elderly patients with moderat

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 published the dataset on figshare in April 2026. Microbial composition was analyzed via 16S rRNA gene sequencing, and functional prediction was conducted using the KEGG database.

Use Cases

• Compare microbial diversity (Chao1) between sexes based on the reported sex-based clustering.
• Identify taxa enriched in specific sexes based on the mention of Lactobacillus enrichment in females.
• Predict functional pathways (e.g., Immune system, Metabolic pathways) associated with microbiome differences.
• Investigate potential links between sex-specific microbiome variations and alveolar bone loss.

Strengths

• Dataset includes 25 patient samples with explicit demographic breakdown (8 males, 17 females).
• Analysis includes both taxonomic (16S rRNA sequencing) and functional (KEGG prediction) dimensions.
• Specific findings, such as Lactobacillus enrichment in females, are reported.

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 exploratory with a small sample size (25 patients), limiting generalizability.

Provenance

Source

Ya-Qiong Zhao

Collection Method

Subgingival plaque samples collected from patients, analyzed via 16S rRNA gene sequencing (V3–V4 region).

Freshness

Last updated 2026-04-24 02:01:14; freshness should be verified.