Baseline cell proliferation rates and response to UV differ in Lymphoblastoid Cell Lines derived from healthy individuals of extreme constitution types

Abstract

Differences in human phenotypes and susceptibility to complex diseases are an outcome of genetic and environmental interactions. This is evident in diseases that progress through a common set of intermediate patho-endophenotypes. Precision medicine aims to delineate the molecular players for individualized and early interventions. Functional studies in Lymphoblastoid Cell Line (LCL) model of phenotypically well characterized healthy individuals can help deconvolute and validate these molecular mechanisms. We developed LCLs from eight healthy individuals belonging to three extreme constitution types, deep phenotyped on the basis of Ayurveda. LCLs were characterized by karyotyping and immunophenotyping. Growth characteristics and response to UV was studied in these LCLs. We observed significant differences in cell proliferation rates between the contrasting groups such that one type (Kapha) proliferates significantly slower than the other two (Vata, Pitta). In response to UV, one fast growing group (Vata) shows higher cell death but recovers its numbers due to inherent higher rates of proliferation. The baseline differences in cell proliferation are key to understanding the survival of cells in UV stress. Variability in baseline cellular phenotypes not only explains the cellular basis of different constitutions types but can also help set priors during designing an individualized therapy with DNA damaging agents. This is the first study of its kind that shows variability of intermediate patho-phenotypes amongst healthy individuals that have implications in precision medicine.

Heart rate variability during head‐up tilt shows inter‐individual differences among healthy individuals of extreme Prakriti types

“…These constitution types also differ with respect to their physiological responses and some of these attributes are examined during the assessment of Prakriti for example food habits and digestive capacity, taste preferences, tendency to gain and lose weight, tolerance for specific weather, and response to stress (Prasher et al, 2008, 2016; Sethi et al, 2011). Our earlier studies were able to explain inter‐individual variability at the genetic, genomic, molecular, microbiome, and cellular levels by utilizing a unique Ayurgenomics framework (Aggarwal et al, 2010, 2015; Chakraborty et al, 2021; Chauhan et al, 2018; Prasher et al, 2008). The baseline differences have also been shown to predict differences in response to hypoxia that are relevant in high altitude adaptation and thrombotic outcomes (Aggarwal et al, 2010, 2015).…”