Influence of vitamin D and calcium-sensing receptor gene variants on calcium metabolism in end-stage renal disease: insights from machine learning analysis

  • 0Department of Pharmacology and Therapeutics, College of Medicine & Health Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain. kannans@agu.edu.bh.

Summary

This summary is machine-generated.

Specific genetic variations in vitamin D and calcium-sensing receptors impact calcium metabolism in end-stage renal disease (ESRD) patients. Machine learning identified key single nucleotide polymorphisms (SNPs) linked to vitamin D deficiency, aiding personalized renal care.

Area Of Science

  • Nephrology
  • Genetics
  • Biochemistry

Background

  • End-stage renal disease (ESRD) is characterized by disrupted calcium balance and renal osteodystrophy.
  • Genetic variations in vitamin D and calcium-sensing receptors may influence calcium homeostasis in ESRD.
  • Identifying genetic predictors is crucial for managing calcium metabolism in ESRD patients.

Purpose Of The Study

  • To identify genetic predictors related to vitamin D and calcium-sensing receptors affecting calcium metabolism in ESRD.
  • To utilize machine learning algorithms to analyze single nucleotide polymorphisms (SNPs) and their association with calcium metabolism biomarkers in ESRD.
  • To pinpoint genetic markers predictive of vitamin D deficiency in the ESRD population.

Main Methods

  • Cross-sectional analysis of adult ESRD patients.
  • Measurement of serum calcium metabolism biomarkers, including calcium, phosphate, vitamin D, parathyroid hormone (PTH), sclerostin, procollagen type 1 alpha 1, osteocalcin, and bone-specific alkaline phosphatase.
  • Machine learning algorithms applied to identify significant SNPs associated with vitamin D deficiency and calcium metabolism.

Main Results

  • Specific genotypes of calcium-sensing receptor (rs10190) and vitamin D receptor (rs739837) were associated with decreased procollagen type 1 alpha 1 levels.
  • The TT genotype of rs10190 correlated with lower serum phosphate levels.
  • Machine learning identified rs2221266 and rs1042636 as significant SNPs predicting vitamin D deficiency with high accuracy.

Conclusions

  • Specific single nucleotide polymorphisms in vitamin D and calcium-sensing receptors significantly influence calcium metabolism biomarkers in ESRD.
  • These genetic variations have clinical implications for personalized medicine in renal care.
  • Further assessment of these genetic factors can optimize management strategies for ESRD patients.

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