Baseline cell proliferation rates and response to UV differ in lymphoblastoid cell lines derived from healthy individuals of extreme constitution types
Sumita Chakraborty,Sunanda Singhmar,Dayanidhi Singh,Mahua Maulik,Mahua Maulik,Rutuja Patil,Satyam Kumar Agrawal,Anushree Mishra,Madeeha Ghazi,Madeeha Ghazi,Archana Vats,Vivek T. Natarajan,Vivek T. Natarajan,Sanjay Juvekar,Bhavana Prasher,Mitali Mukerji +15 more
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In this paper, the authors developed lymphoblastoid cell line (LCL) from eight healthy individuals belonging to three extreme constitution types, deep phenotyped on the basis of Ayurveda.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 molecular players for individualized and early interventions. Functional studies of lymphoblastoid cell line (LCL) model of phenotypically well-characterized healthy individuals can help deconvolute and validate these molecular mechanisms. In this study, LCLs are developed 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 were studied in these LCLs. Significant differences in cell proliferation rates were observed between the contrasting groups such that one type (Kapha) proliferates significantly slower than the other two (Vata, Pitta). In response to UV, one of the fast growing groups (Vata) shows higher cell death but recovers its numbers due to an inherent higher rates of proliferation. This study reveals that baseline differences in cell proliferation could be a key to understanding the survivability of cells under UV stress. Variability in baseline cellular phenotypes not only explains the cellular basis of different constitution types but can also help set priors during the design of an individualized therapy with DNA damaging agents. This is the first study of its kind that shows variability of intermediate patho-phenotypes among healthy individuals with potential implications in precision medicine.read more
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Whole Exome Sequencing in Healthy Individuals of Extreme Constitution Types Reveals Differential Disease Risk: A Novel Approach towards Predictive Medicine
Tahseen Abbas,Gaurav Chaturvedi,P. Prakrithi,Ankit K. Pathak,Rintu Kutum,Pushkar Dakle,Ankita Narang,Vijeta Manchanda,Rutuja Patil,Dhiraj Aggarwal,Bhushan Girase,Ankita Srivastava,Manav Kapoor,Ishaan Gupta,Rajesh Pandey,Sanjay Juvekar,Debasis Dash,Mitali Mukerji,Bhavana Prasher +18 more
TL;DR: It is hypothesize that exome sequencing in healthy individuals of phenotypically homogeneous Prakriti types might enable the identification of functional variations associated with the constitution types and highlight novel SNPs that could explain differential trajectories for immune response, bleeding or thrombosis.
Journal ArticleDOI
Heart rate variability during head‐up tilt shows inter‐individual differences among healthy individuals of extreme Prakriti types
Ritu Rani,Prathiban Rengarajan,Tavpritesh Sethi,Bharat Krushna Khuntia,Arvind Kumar,Deep Shikha Punera,Deepika Singh,Bhushan Girase,Ankita Shrivastava,Sanjay Juvekar,Bala Kondareddy Pesala,Mitali Mukerji,Kishore Kumar Deepak,Bhavana Prasher +13 more
TL;DR: In this paper , the authors explored the differential response to orthostatic stress in different Prakriti types using HRV and found that Kapha group had lower baseline HRV than other two groups, although not statistically significant.
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Genetic differences between extreme and composite constitution types from whole exome sequences reveal actionable variations
Tahseen Abbas,Rintu Kutum,Rajesh Pandey,Pushkar Dakle,Ankita Narang,Vijeta Manchanda,Rutuja Patil,Dheeraj Aggarwal,G. Bansal,Pooja Sharma,Gaura Chaturvedi,Bhushan Girase,Ankita Srivastava,Sanjay Juvekar,Debasis Dash,Bhavana Prasher,Mitali Mukerji +16 more
TL;DR: A novel method for identifying pleiotropic genes and variants that associate with healthy individuals of three extreme and contrasting “Prakriti” constitutions through exome sequencing and state-of-the-art computational methods is reported.
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