Vitamin D and Aging Gene Associations in Prediabetic Asian Indians
by Surya Prakash Bhatt·Updated 2mo ago
24.7 KB1files
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Description
290 prediabetic subjects aged 20–60 years were assessed for serum vitamin D levels, leukocyte telomere length (LTL), telomerase activity (TA), and genetic polymorphisms in ACTN3, FOXO3A, VDR, SIRT1, and MSTN. The cross-sectional study found a modest positive correlation between vitamin D and LTL and identified significant gene-gene interactions among SIRT1, MSTN, VDR, and FOXO3A. The data was collected and analyzed by Surya Prakash Bhatt and published in 2026.
Use Cases
Analyze the correlation between serum vitamin D levels and leukocyte telomere length (LTL) across 290 prediabetic subjects.
Investigate associations between ACTN3 polymorphism and telomerase activity (TA) using adjusted regression models.
Examine gene-gene interaction networks among SIRT1, MSTN, VDR, and FOXO3A for coordinated influence on aging.
Model the relationship between vitamin D and aging markers while adjusting for covariates like age, sex, BMI, and fasting blood glucose.
Strengths
Data from 290 prediabetic subjects provides a focused clinical cohort.
Includes multiple biological markers: vitamin D levels, LTL, TA, and genotyping for 5 specific genes.
Analysis reports specific statistical results, such as correlation coefficients (r = 0.56–0.82) and p-values.
Limitations
Small dataset at 24.7 KB, indicating limited raw data or a summary document rather than a full tabular dataset.
Cross-sectional design limits causal inference regarding vitamin D and aging markers.
Findings are specific to Asian Indian prediabetic individuals, limiting generalizability.
Provenance
Source
Surya Prakash Bhatt via figshare.
Collection Method
Cross-sectional study with anthropometry, biochemical assays (qPCR for LTL, TRAP for TA), and PCR-RFLP genotyping.
Time Range
null
Freshness
Last updated March 2026.
Geography
Asian Indian population.
Primary data is a 24.7 KB DOCX file, likely containing a research paper or summary rather than a machine-readable table; users may need to extract data manually. License is CC BY 4.0.