Changes

The body constitution (prakriti) of a person is based upon the relative proportions of the three dosha. The equilibrium or dominance of dosha at the time of formation of embryo determines the body constitution (deha prakriti). [Cha.Sa. Sutra Sthana 7/40] This proportion is further modulated by the diet and lifestyle of mother, age, and the environment in which the person grows to generate the unique dosha-prakriti of the individual.  The individual shows characteristic features of respective dominant dosha in prakriti. It is very similar to the phenotype in modern biology. Thus, the current genetic paradigms believe that the phenotype of individual results from interaction between genotype (established at fertilization) and the environment, which includes epigenetic changes resulting from parental age, diet, lifestyle, and other environmental factors.<ref>Lakhotia S. C. (2014). Translating Ayurveda's Dosha-Prakriti into objective parameters. Journal of Ayurveda and integrative medicine, 5(3), 176.</ref>  Genomic variations with the classification of prakriti are studied. It is observed that PGM1 correlates with phenotype of pitta prakriti. This suggests that the phenotypic classification has a genetic basis; and its prakriti-based practice resonates with personalized medicine.<ref>Govindaraj, P. et al. Genome-wide analysis correlates Ayurveda Prakriti. Sci. Rep. 5, 15786; doi: 10.1038/srep15786 (2015)</ref>  The relation between clinical phenotype and predisposition of disease is studied. The study was carried out on the association of Methylenetetrahydrofolate reductase (MTHFR) C677T and A1298C with type 2 diabetes and prakriti. An extremely strong association between prakriti (kaphaja/kapha-pittaja) and type 2 diabetes (P < 0.00001) was detected in this study.<ref>Gupta A, Ali A, Tewari P, Agrawal NK, Patel R, Byadgi PS. Association of kaphaja and kapha-pittaja prakriti and methylenetetrahydrofolate reductase C677T allele with type 2 diabetes. AYU [serial online] 2018 [cited 2020 Jan 5];39:146-50. Available from: http://www.ayujournal.org/text.asp?2018/39/3/146/255251</ref>

The body constitution (prakriti) of a person is based upon the relative proportions of the three dosha. The equilibrium or dominance of dosha at the time of formation of embryo determines the body constitution (deha prakriti). [Cha.Sa. Sutra Sthana 7/40] This proportion is further modulated by the diet and lifestyle of mother, age, and the environment in which the person grows to generate the unique dosha-prakriti of the individual.  The individual shows characteristic features of respective dominant dosha in prakriti. It is very similar to the phenotype in modern biology. Thus, the current genetic paradigms believe that the phenotype of individual results from interaction between genotype (established at fertilization) and the environment, which includes epigenetic changes resulting from parental age, diet, lifestyle, and other environmental factors.<ref>Lakhotia S. C. (2014). Translating Ayurveda's Dosha-Prakriti into objective parameters. Journal of Ayurveda and integrative medicine, 5(3), 176.</ref>  Genomic variations with the classification of prakriti are studied. It is observed that PGM1 correlates with phenotype of pitta prakriti. This suggests that the phenotypic classification has a genetic basis; and its prakriti-based practice resonates with personalized medicine.<ref>Govindaraj, P. et al. Genome-wide analysis correlates Ayurveda Prakriti. Sci. Rep. 5, 15786; doi: 10.1038/srep15786 (2015)</ref>  The relation between clinical phenotype and predisposition of disease is studied. The study was carried out on the association of Methylenetetrahydrofolate reductase (MTHFR) C677T and A1298C with type 2 diabetes and prakriti. An extremely strong association between prakriti (kaphaja/kapha-pittaja) and type 2 diabetes (P < 0.00001) was detected in this study.<ref>Gupta A, Ali A, Tewari P, Agrawal NK, Patel R, Byadgi PS. Association of kaphaja and kapha-pittaja prakriti and methylenetetrahydrofolate reductase C677T allele with type 2 diabetes. AYU [serial online] 2018 [cited 2020 Jan 5];39:146-50. Available from: http://www.ayujournal.org/text.asp?2018/39/3/146/255251</ref>

   

   

Studies have shown that Ayurvedic body type classification may be associated with genes of inflammation and oxidative stress factors, the rate of DNA methylation and development of cardiovascular diseases.   

Studies have shown that Ayurvedic body type classification may be associated with genes of inflammation and oxidative stress factors, the rate of DNA methylation and development of cardiovascular diseases.<ref>Anna Korossy, Anna Blazovics. Ayurveda for the treatment of Obesity. Orv Hetil 2016 Aug; 157 (34):1349-52. DOI: 10.1556/650.2016.30534.</ref>  

===Influence of dosha on digestion (agni) and gut (koshtha)===

===Influence of dosha on digestion (agni) and gut (koshtha)===

Research studies have suggested the patterns of blood chemistry, genetic expression, physiological states, and chronic diseases are associated with each dosha type. Triglycerides, total cholesterol, high LDL, and low HDL concentrations, common risk factors for cardiovascular diseases were reported to be higher in kapha types as compared to pitta and vata types. Whereas Hemoglobin and RBC count tend to be higher in pitta as compared to other types, while serum prolactin was found to be higher in vata types.  Genetic expression also distinguishes dosha types. Where genes in the immune response pathways were up-regulated in pitta types, genes related to cell cycles up-regulated in vata types, and genes in the immune signaling pathways were found to be up-regulated in kapha types.  

Research studies have suggested the patterns of blood chemistry, genetic expression, physiological states, and chronic diseases are associated with each dosha type. Triglycerides, total cholesterol, high LDL, and low HDL concentrations, common risk factors for cardiovascular diseases were reported to be higher in kapha types as compared to pitta and vata types. Whereas Hemoglobin and RBC count tend to be higher in pitta as compared to other types, while serum prolactin was found to be higher in vata types.  Genetic expression also distinguishes dosha types. Where genes in the immune response pathways were up-regulated in pitta types, genes related to cell cycles up-regulated in vata types, and genes in the immune signaling pathways were found to be up-regulated in kapha types.  

Also, inflammatory genes were up-regulated in vata types, whereas up-regulation of oxidative stress pathway genes were observed in pitta and kapha types. CD25 (activated B cells) and CD56 (natural killer cells) were higher in kapha dosha types. CYP2C19 genotypes, a family of genes that help in detoxification and metabolism of certain drugs were down-regulated in kapha types and up-regulated in pitta types.  A research program using physiological and cortical measures is suggested to explore the utility of dosha brain-types. Dosha brain models may give scope to learn in field of relation of dosha to electroencephalography EEG patterns, autonomic activation and autonomic balance, stress reactivity and behavior.  This line of research could help clarify variable response to drugs and lifestyle modifications in normal and clinical populations and so help target health promotion at all levels of life. There are possible correlations between autonomous nervous systems and dosha.   

Also, inflammatory genes were up-regulated in vata types, whereas up-regulation of oxidative stress pathway genes were observed in pitta and kapha types. CD25 (activated B cells) and CD56 (natural killer cells) were higher in kapha dosha types. CYP2C19 genotypes, a family of genes that help in detoxification and metabolism of certain drugs were down-regulated in kapha types and up-regulated in pitta types.  A research program using physiological and cortical measures is suggested to explore the utility of dosha brain-types. Dosha brain models may give scope to learn in field of relation of dosha to electroencephalography EEG patterns, autonomic activation and autonomic balance, stress reactivity and behavior.  This line of research could help clarify variable response to drugs and lifestyle modifications in normal and clinical populations and so help target health promotion at all levels of life. There are possible correlations between autonomous nervous systems and dosha.<ref>Travis FT, Wallace RK. Dosha brain-types: A neural model of individual differences. J Ayurveda integrative Med 2015;6:280-5. DOI: 10.4103/0975-9476.172385</ref>  

The systems approach proposed by Hankey A. shows how tridosha applies to every living organism from the first cells, and how it is inherited and diversified in the history of life. Ayugenomics study confirms dosha's inheritance. Each dosha is responsible for regulating an essential aspect of organism function, connected to a recognised definition of life: Vata, Input/Output (homeostasis); Pitta, Turnover (negative entropy production); Kapha, Storage (inheritable structure).  

The systems approach proposed by Hankey A. shows how tridosha applies to every living organism from the first cells, and how it is inherited and diversified in the history of life. Ayugenomics study confirms dosha's inheritance. Each dosha is responsible for regulating an essential aspect of organism function, connected to a recognised definition of life: Vata, Input/Output (homeostasis); Pitta, Turnover (negative entropy production); Kapha, Storage (inheritable structure).<ref>Hankey A. (2010). Establishing the Scientific Validity of Tridosha part 1: Doshas, Subdoshas and Dosha Prakritis. Ancient science of life, 29(3), 6–18</ref>

===Relation of vata dosha and vagus nerve===

===Relation of vata dosha and vagus nerve===

Venil Sumantran and Pratibha Nair proposed strong correlations between vagus nerve and vata dosha activity. They have hypothetically provided four possible reasons to assume vagal activity as a reliable candidate biomarker of important vata dosha functions. First, normal vata dosha and the vagus maintain neural, respiratory, and digestive homeostasis, and dysfunctions in both entities cause very similar diseases.  Second, vata dosha regulates higher neural functions such as mental health and behaviour, and the 'polyvagal theory' proposes similar functions for the vagus. Third, the similar roles of vata dosha and vagus in maintaining gut homeostasis, suggest that vagal activity in the 'gut-brain' link is a candidate biomarker of pakwashaya (lower gut), a primary regulatory site for vata dosha. Fourth, the vagus is the only vital nerve whose activity can be reliably measured and manipulated. Vagal nerve stimulation is an approved therapy for certain ailments attributed to impaired vata dosha.  This research can provide better understanding in concept and practical approach towards vata dosha.  

Venil Sumantran and Pratibha Nair proposed strong correlations between vagus nerve and vata dosha activity. They have hypothetically provided four possible reasons to assume vagal activity as a reliable candidate biomarker of important vata dosha functions. First, normal vata dosha and the vagus maintain neural, respiratory, and digestive homeostasis, and dysfunctions in both entities cause very similar diseases.  Second, vata dosha regulates higher neural functions such as mental health and behaviour, and the 'polyvagal theory' proposes similar functions for the vagus. Third, the similar roles of vata dosha and vagus in maintaining gut homeostasis, suggest that vagal activity in the 'gut-brain' link is a candidate biomarker of pakwashaya (lower gut), a primary regulatory site for vata dosha. Fourth, the vagus is the only vital nerve whose activity can be reliably measured and manipulated. Vagal nerve stimulation is an approved therapy for certain ailments attributed to impaired vata dosha.<ref>Venil N Sumantran, Pratibha P Nair. Can the vagus nerve serve as biomarker for vata dosha activity?  J Ayurveda Integr Med, Apr-Jun 2019;10(2):146-151. DOI: 10.1016/j.jaim.2019.04.003</ref> This research can provide better understanding in concept and practical approach towards vata dosha.  

===Nuclear corelation===

===Nuclear corelation===

Sharma H. and Wallace RK proposed that mRNA, tRNA, and protein have features and properties that represent vata, pitta, and kapha at the cellular level. Messenger RNA corresponds with vata (transmission of information), tRNA corresponds with pitta (transformation), and protein corresponds with kapha (structure).  

Sharma H. and Wallace RK proposed that mRNA, tRNA, and protein have features and properties that represent vata, pitta, and kapha at the cellular level. Messenger RNA corresponds with vata (transmission of information), tRNA corresponds with pitta (transformation), and protein corresponds with kapha (structure).<ref>Hari Sharma and Robert Keith Wallace. Ayurveda and Epigenetics. Medicina 2020, DOI: 10.3390/medicina56120687</ref>

===Assessment of dosha===

===Assessment of dosha===

Manohar PR and his team of researchers proposed the heart rate variability analysis to determine functions of dosha in body. Substantial agreement between the HRV analysis and the clinical method of assessing dosha imbalances in pathological conditions is observed in data.  S. Shilpa and C.G.Venkatesha Murthy (2011) developed and standardized Mysore Tridosha Scale, wherein only the psychological aspects of the dosha prakriti have been used to build items for the assessment of personality. The psychometric properties of the scale are established with significant reliability and validity of data.   

Manohar PR and his team of researchers proposed the heart rate variability analysis to determine functions of dosha in body. Substantial agreement between the HRV analysis and the clinical method of assessing dosha imbalances in pathological conditions is observed in data.<ref>Ram Manohar, P., Sorokin, O., Chacko, J., & Nampoothiri, V. (2018). An exploratory clinical study to determine the utility of heart rate variability analysis in the assessment of dosha imbalance. Journal of Ayurveda and integrative medicine, 9(2), 126–130. https://doi.org/10.1016/j.jaim.2017.06.008</ref> S. Shilpa and C.G.Venkatesha Murthy (2011) developed and standardized Mysore Tridosha Scale, wherein only the psychological aspects of the dosha prakriti have been used to build items for the assessment of personality. The psychometric properties of the scale are established with significant reliability and validity of data.   

===Relation of dosha to sleep===

===Relation of dosha to sleep===