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Agrawal, S. K.

Publications and source records attributed to Agrawal, S. K..

2 recordsLinked to original sources

Transcriptomic profiling of healthy individual-derived LCLs revealed inter-individual variability towards-hypoxia-responsive pathways

Hypoxia, or low oxygen levels, affects various developmental, physiological, and pathological processes. Its been consistently reported that there is an inter-individual variability at genetic and molecular pathways related to oxygen sensing and response. Understanding the underlying variability towards hypoxia sensing and response in health and disease conditions is challenging. The Prakriti stratification method of Ayurveda offers solutions, which classifies healthy individuals into different groups based on multisystem phenotyping. Our lab has previously used this method and provided evidence for the variability in hypoxia responsiveness physiologically among healthy individuals at population levels. Our current study seeks to understand hypoxia sensing and response pathways at cellular levels. We used eight Lymphoblastoid cell lines (LCLs) developed from healthy individuals of extreme Prakriti types. Hypoxia challenge experiments were performed using 0.2% oxygen for 24 and 48 hrs. of chronic hypoxia and captured global transcriptomics profiles. Differentially expressed genes revealed activation of core hypoxia-induced transcriptomic signatures, such as HIF-1 signaling and their metabolic reprogramming in pooled as well as in all Prakriti groups. However, there were Prakriti-specific differences, such as activation of TGF-{beta} mediated ROS and PI3K/AKT/mTOR driven mTORC1 complex in Kapha, downregulation of cholesterol homeostasis and regulation of Phosphoinositide biosynthesis in membrane potential observed in the Pitta group. In contrast, ER stress-induced activation of cell survival response via Unfolded protein response in the Vata group. The Prakriti stratification method will provide a novel method to understand inter-individual differences in hypoxia response pathways. SignificanceHypoxia can significantly impact various aspects of our health and well-being. All nucleated cells sense and respond to hypoxia, depending upon their cellular and metabolic activities. Its wide utility and spatiotemporal regulation make it a crucial target to study. We have used the Prakriti stratification method of Ayurveda to explore hypoxia sensing and response at cellular levels. Lymphoblastoid Cell Lines (LCLs) developed from the peripheral blood of stratified healthy individuals have been utilized to study the expression level variability at the baseline and hypoxia-induced conditions. The outcomes of our study will be crucial to understanding inter-individual variability in response to hypoxia overlayed baseline variations. Resulting in differential susceptibility towards hypoxic response in health and contributes to understanding variable outcomes in disease conditions. Molecular targets from our study will further be utilized for interventional drug targets in hypoxia-induced disease conditions.

cell biology↗

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

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.

cell biology↗