Metabolomic fingerprinting of dialysis patients for early detection of vascular calcification

Abstract

Vascular calcification (VC) is one of the dreaded long-term dialysis complications. Its effect
on cardiac morbidity and mortality is still appalling and sadly undervalued. The inefficiency and absence
of modern methods of diagnosis are also illogical reasons for the distress of the health system. It implies
distressing the potential opportunity cost by early diagnosis. The research aimed to alleviate pain in patients
with VC and dialysis by targeting early diagnosis using new metabolomic techniques. The samples and
serum samples following LCM were gathered, normalized, and established by pre-treatment multivariate
statistical methods of principal component analysis and partial least squares discriminant analysis.
The metabolic profiles of VC patients and non-VC patients exhibited typical patterns. Apart from that,
understanding precisely which biomarkers it utilized actually had proper diagnostic accuracy because it
is noted in sensitivity, specificity, and AUC results. It was found that metabolomic fingerprinting is a potent
tool, which consequently implies that the current invasive diagnostic methods for VC in dialysis patients
must be put on the shelf in favor of a less invasive technique. It is also recommended as a second tool to
complement the pre- and post-diagnosis reaction to the VC.