Immunophenotyping of normal individuals classified on the basis of human dosha prakriti

Ayurvedic practice, education and research, beyond dilemmas and confessions

Emergent diseases and the pursuit of universal health coverage have incited a renewed interest in the role of traditional medicines (TM) in healthcare. Ayurveda, a widely accepted and practised system in India, is gaining attention globally owing to its holistic and individualised therapeutic approaches. Addressing the contemporary relevance of Ayurveda in healthcare, the article examines concerns surrounding its core principles, educational methodologies, and research validation. Pertinent queries are raised about Ayurveda's relevance today and challenges in aligning Ayurvedic theories with current scientific paradigms and pedagogical dilemmas in Ayurvedic education. Further, we propose solutions, charting a course for Ayurveda's evolution in contemporary healthcare. This includes bridging epistemological differences by integrating modern scientific methodologies with Ayurvedic concepts. Addressing the educational challenges, we recommend comprehensive curriculum revisions considering contemporary healthcare needs. The teaching methodologies are to be enhanced to impart Ayurvedic principles effectively, acknowledging the limitations of ancient anatomical and physiological constructs. Training programs must prioritise equipping teachers with the ability to impart a critical understanding of Ayurveda's philosophy without undermining modern scientific concepts. In conclusion, this article underscores the importance of policy reforms in Ayurvedic curriculum design and teaching methodologies to ensure Ayurveda's sustained relevance and integration within contemporary healthcare systems.

A case-control study for exploring the association of Prakriti with Rheumatoid Arthritis

BACKGROUND

Deha-Prakriti (DP) is a unique contribution of Ayurveda, which distinguishes the population into three main groups viz., Vata, Pitta, and Kapha predominant individuals. Its assessment helps physicians to prescribe a suitable diet, daily regimen, and lifestyle that prevents non-communicable diseases. Amavata (Rheumatoid Arthritis) is a disease that needs personalized management approach.

AIM

To evaluate the association of DP with Amavata (∼Rheumatoid Arthritis).

OBJECTIVE

To evaluate DP-based susceptibility in the manifestation of Amavata vis-à-vis Rheumatoid Arthritis.

METHODOLOGY

A case-control study was conducted from 18.04.2018 to 09.01.2020, involving 150 cases (patients of Amavata), and 150 controls (healthy volunteers), matching in age (between 18 to 50 years), and sex, selected from Jamnagar. CCRAS-PAS for both the groups, Health Assessment proforma of TRISUTRA project CSIR-AYURGENOMICS, were used. Logistic regression analyses were conducted to determine the relationship between DP and Amavata.

RESULTS

The proportion of people with Vata dosha in the case group (53.79%) was substantially higher (P < 0.0001) than in the control group (24.91%). Pitta (39.35%) and Kapha (36.27%) doshas were found to be more prevalent in the control group (P < 0.0001). There was a six-percent rise in the likelihood of developing Amavata with every unit increase in Vata percentage, according to logistic regression analysis.

CONCLUSION

Vata predominant DP has a significant association with Amavata. Vata predominant DP individuals are more susceptible to Amavata than Pitta and Kapha predominant DP individuals.

Ayurgenomics-based frameworks in precision and integrative medicine: Translational opportunities

In today's globalized and flat world, a patient can access and seek multiple health and disease management options. A digitally enabled participatory framework that allows an evidence-based informed choice is likely to assume an immense importance in the future. In India, traditional knowledge systems, like Ayurveda, coexist with modern medicine. However, due to limited crosstalk between the clinicians of both disciplines, a patient attempts integrative medicine by seeking both options independently with limited understanding and evidence. There is a need for an integrative medicine platform with a formalized approach, which allows practitioners from the two diverse systems to crosstalk, coexist, and coevolve for an informed cross-referral that benefits the patients. To be successful, this needs frameworks that enable the bridging of disciplines through a common interface with shared ontologies. Ayurgenomics is an emerging discipline that explores the principles and practices of Ayurveda combined with genomics approaches for mainstream integration. The present review highlights how in conjunction with different disciplines and technologies this has provided frameworks for (1) the discovery of molecular correlates to build ontological links between the two systems, (2) the discovery of biomarkers and targets for early actionable interventions, (3) understanding molecular mechanisms of drug action from its usage perspective in Ayurveda with applications in repurposing, (4) understanding the network and P4 medicine perspective of Ayurveda through a common organizing principle, (5) non-invasive stratification of healthy and diseased individuals using a compendium of system-level phenotypes, and (6) developing evidence-based solutions for practice in integrative medicine settings. The concordance between the two contrasting streams has been built through extensive explorations and iterations of the concepts of Ayurveda and genomic observations using state-of-the-art technologies, computational approaches, and model system studies. These highlight the enormous potential of a trans-disciplinary approach in evolving solutions for personalized interventions in integrative medicine settings.

S, Patel AB, Chen ZS. An Ayurgenomics Approach: Prakriti-Based Drug Discovery and Development for Personalized Care

Originating in ancient India, Ayurveda is an alternative medicinal approach that provides substantial evidence for a theoretical-level analysis of all aspects of life. Unlike modern medicine, Ayurveda is based upon tridoshas (Vata, pitta, and Kapha) and Prakriti. On the other hand, the research of all the genes involved at the proteomics, metabolomics, and transcriptome levels are referred to as genomics. Geoclimatic regions (deshanupatini), familial characteristics (kulanupatini), and ethnicity (jatiprasakta) have all been shown to affect phenotypic variability. The combination of genomics with Ayurveda known as ayurgenomics provided new insights into tridosha that may pave the way for precision medicine (personalized medicine). Through successful coordination of “omics,” Prakriti-based treatments can help change the existing situation in health care. Prakriti refers to an individual’s behavioral trait, which is established at the moment of birth and cannot be fully altered during one’s existence. Ayurvedic methodologies are based on three Prakriti aspects: aushadhi (medication), vihara (lifestyle), and ahara (diet). A foundation of Prakriti-based medicine, preventative medicine, and improvement of life quality with longevity can be accomplished through these ayurvedic characteristics. In this perspective, we try to understand prakriti’s use in personalized medicine, and how to integrate it with programs for drug development and discovery.

Exploring AyuGenomics approach for understanding COVID-19 predisposition and progression

Recent reports on COVID-19 suggest that, the susceptibility to COVID-19 infection and its progression have a genetic predisposition. Majorly associated genetic variants are found in human leukocyte antigen (HLA), angiotensin convertase enzyme (ACE; rs1799752: ACE2; rs73635825), and transmembrane protease serine 2 (TMPRSS-2; rs12329760) genes. Identifying highly prone population having these variants is imperative for determining COVID-19 therapeutic strategies. Ayurveda (Indian traditional system of medicine) concept of Prakriti holds potential to predict genomic and phenotypic variations. Reported work on Prakriti correlates HLA-DR alleles with three broad phenotypes (Tridosha) described in Ayurveda (AyuGenomics). This is suggestive of differences in immune responses in individuals with specific constitutions. Therefore, the reported studies provide clues for clinically relevant hypotheses to be tested in systematic studies. The proposed approach of Ayurveda-based phenotype screening may offer a way ahead to design customized strategies for management of COVID-19 based on differences in Prakriti, immune response, and drug response. However, this needs clinical evaluation of the relation between Prakriti and genetic or phenotypic variants in COVID-19 prone and resistant populations.

Ayurgenomics and Modern Medicine

Within the disciplines of modern medicine, P4 medicine is emerging as a new field which focuses on the whole patient. The development of Ayurgenomics could greatly enrich P4 medicine by providing a clear theoretical understanding of the whole patient and a practical application of ancient and modern preventative and therapeutic practices to improve mental and physical health. One of the most difficult challenges today is understanding the ancient concepts of Ayurveda in terms of modern science. To date, a number of researchers have attempted this task, of which one of the most successful outcomes is the creation of the new field of Ayurgenomics. Ayurgenomics integrates concepts in Ayurveda, such as Prakriti, with modern genetics research. It correlates the combination of three doshas, Vata, Pitta and Kapha, with the expression of specific genes and physiological characteristics. It also helps to interpret Ayurveda as an ancient science of epigenetics which assesses the current state of the doshas, and uses specific personalized diet and lifestyle recommendations to improve a patient’s health. This review provides a current update of this emerging field.

An Ayurvedic personalized prophylactic protocol in COVID-19

The current COVID-19 pandemic brought about by the SARS-CoV-2, a novel β coronavirus is creating intense health havoc globally. Researchers suspect the situation to stay for long in the community, considering this virus’s pathogenesis, high rate transmission and tendency to provoke uncontrolled immune response activation. Immune mechanisms are highly individualistic. We put forward a hypothetical model of prakruti (Ayurvedic body phenotyping character) based personalized prophylactic-therapeutic strategies aiming at a better immunomodulation and quicker resolution of host immune mechanisms. We propose this model in symptomatic, mild to moderate, COVID-19 diagnosed cases and in cases quarantined for high to low risk primary contact with a positive case. We also suggest a community level personalized Ayurvedic prophylactic-therapeutic strategy based on the DOTS model.

Person-centered body purificatory measures (panchakarma procedures) like therapeutic purgation (virechana) and medicated enema (basti) are suggested in this hypothetical protocol with justification on evidence-based links between immune responses and prakruti along with specific jwara (fevers of varied origin as per Ayurvedic sciences) and COVID-19 symptomatology. The paper also appraises the importance of pitta dosha/ama dosha in the manifestation of inflammation driven destructive phase of immune responses along with its stage-wise intervention. This hypothetical model intends to open up discussions on significance of prakruti assessment as a predictive marker to screen people who are at risk of succumbing into deteriorating states if infected with COVID-19. It also intends to discuss the predictive personalized medicine measures based on prakruti in yielding individual host immune homeostasis which may positively reduce the chances of untoward events of an aggravated immune responsiveness and subsequent inflammation driven tissue destruction – the candidate causes for COVID-19 related casualties. Testing this model may give insight towards emphasizing personalized host immune coping mechanisms that may prove crucial in any infectious outbreaks in near future too.

Comparative gut microbiome analysis of the Prakriti and Sasang systems reveals functional level similarities in constitutionally similar classes

The traditional medicinal systems (TMS) of India (Prakriti) and Korea (Sasang) classify human individuals based on their constitution determined by the physiological and psychological traits of individuals. Similarities in the constitutions are already found between the classes of Prakriti (Vata, Pitta, and Kapha) and Sasang (TE: Taeeumin, SE: Soeumin, and SY: Soyangin) systems. Gut health is an important aspect of this constitution based classification in TMS. To determine the role of gut microbes in such classifications, we have analyzed the gut microbiome (taxa and imputed functions) in the constitutionally similar Prakriti and Sasang classes. An enrichment of Bacteroides and Prevotella enterotypes is observed in the Sasang and Prakriti samples, respectively. The impact of the constitution is found to be more prominent with respect to the taxa and predicted-functions within the Prakriti classes. Gut microbiome functional-level similarities are found to correlate well with the host phenotypes of the constitutionally similar Prakriti and Sasang classes. An enrichment of carbohydrate and amino-acid metabolism is observed in the Vata and SE classes which may be responsible for meeting with their high energy demands and lean phenotype. The Pitta and SY classes exhibit the high capacity to metabolize toxins. An enrichment of functions responsible for predisposition to obesity and high drug metabolism is observed in the Kapha and TE classes. The contribution of gut adaptive functions is found to correlate with the constitution-based classification in both Prakriti and Sasang systems. The TE class harboured the highest number of biofilm-forming and stress-tolerant microbes thus exhibiting the maximum tolerance of environmental stress. Similarities in the gut microbiota and the resulting disease predisposition patterns are found to exist between the constitutionally matching Prakriti and Sasang classes.

Functional signature analysis of extreme Prakriti endophenotypes in gut microbiome of western Indian rural population

Ayurveda is practiced in India from ancient times and stratifies the individuals based on their Prakriti constitution. Advancements in modern science have led to the association of Prakriti with molecular, biochemical, genomic and other entities. We have recently explored the gut microbiome composition and microbial signatures in healthy extreme Prakriti endo-phenotypes. However, their functional potentials are still lacking. The present study includes 63 females (29 Vata, 11 Pitta, and 23 Kapha) and 50 males (13 Vata, 18 Pitta, and 19 Kapha) samples. The predictive functional profiling and organism level functional traits of the human gut microbiome have been carried out in Prakriti groups using imputed metagenomic approach. A higher functional level redundancy is found than the taxonomy across the Prakriti groups, however the dominant taxa contributing to the functional profiles are found to be different. A high number of functional signatures specific to the Prakriti groups were identified in female datasets. Some of the functional signatures were found to be gender specific. For example, a higher abundance of microbes contributing potential pathogenic and stress tolerance related functions was found in Kapha in female and Pitta in male. The functional signatures correlated well with phenotypes and disease predisposition of Prakriti groups.

Reliability of Ayurvedic Diagnosis for Knee Osteoarthritis Patients: A Nested Diagnostic Study Within a Randomized Controlled Trial

Background: Ayurveda is a traditional Indian system of medicine. The customized Ayurvedic approach consists of a combination of several diagnostic procedures and subsequent individualized therapeutic interventions. Evaluation of inter-rater reliability (IRR) of Ayurvedic diagnoses has rarely been performed. The aim of this study was to evaluate IRR of Ayurvedic diagnosis for patients with knee osteoarthritis.

Methods: A diagnostic reliability study of 30 patients and 4 Ayurvedic experts was nested in a randomized controlled trial. Patients were diagnosed in a sequential order by all experts utilizing a semistructured patient history form. A nominal group technique as consensus procedure was performed to reach agreement on the items to be diagnosed. An IRR analysis using Fleiss' and Cohen's kappa statistics was performed to determine a chance-corrected measure of agreement among raters.

Results: One hundred and twenty different ratings and 30 consensus ratings were performed and analyzed. While high percentages of agreement for main diagnostic entities and the final Ayurveda diagnosis (95% consensus agreement on main diagnosis) could be observed, this was not reflected in the corresponding kappa values, which largely yielded fair-to-poor inter-rater agreement kappas for central diagnostic aspects such as prakriti and agni (κ values between 0 and 0.4). Notably, agreement on disease-related entities was better than that on constitutional entities.

Conclusions: This is the first diagnostic study embedded in a clinical trial on patients with knee osteoarthritis utilizing a multimodality whole systems approach. Results showed a contrast between the high agreement of the consented final diagnosis and disagreement on certain diagnostic details. Future diagnostic studies should have larger sample sizes and a methodology more tailored to the specificities of traditional whole systems of medicine. Equal emphasis will need to be placed on all core diagnostic components of Ayurveda, both constitutional and disease specific, using detailed structured history taking forms.

Significance of arterial stiffness in Tridosha analysis: A pilot study

Background

The variations in Tridoshas are the basis for disease diagnosis and treatment in Ayurveda. The doshas are assessed by sensing the pulse manually with fingers which depends on skill of the physician. There is a need to measure doshas using instruments and study them objectively.

Objective

Arterial stiffness is well established pulse parameter in modern medicine and is closely associated to kathinya in the context of Ayurveda. The aim of our study was to measure arterial stiffness using Nadi Tarangini, a pulse acquisition system, and investigate the significant variations of stiffness across Tridosha locations.

Materials and methods

A total of 42 samples of vata, pitta and kapha pulses with proper systolic and diastolic peaks were included in the study. The arterial stiffness parameters namely stiffness index (SI) and reflection index (RI) were considered for the study. The data was analyzed using one-way ANOVA followed by Tamhane's T2 test. The changes in SI and RI between males and females were assessed using independent samples t test.

Results

SI at vata (5.669 ± 1.165) was significantly low compared to pitta (8.910 ± 3.509) and kapha (8.021 ± 2.814); RI at vata (0.846 ± 0.071) was significantly low compared to pitta (0.945 ± 0.043) and kapha (0.952 ± 0.033). SI at kapha was significantly low in females compared to males.

Conclusion

The SI and RI acquired using Nadi Tarangini have shown significant variations across Tridosha locations. The framework developed to measure the arterial stiffness across Tridosha locations can be used for the interventional studies in Ayurveda which in turn can help in disease diagnosis and treatment.

Genome-wide analysis correlates Ayurveda Prakriti

The practice of Ayurveda, the traditional medicine of India, is based on the concept of three major constitutional types (Vata, Pitta and Kapha) defined as “Prakriti”. To the best of our knowledge, no study has convincingly correlated genomic variations with the classification of Prakriti. In the present study, we performed genome-wide SNP (single nucleotide polymorphism) analysis (Affymetrix, 6.0) of 262 well-classified male individuals (after screening 3416 subjects) belonging to three Prakritis. We found 52 SNPs (p ≤ 1 × 10⁻⁵) were significantly different between Prakritis, without any confounding effect of stratification, after 10⁶ permutations. Principal component analysis (PCA) of these SNPs classified 262 individuals into their respective groups (Vata, Pitta and Kapha) irrespective of their ancestry, which represent its power in categorization. We further validated our finding with 297 Indian population samples with known ancestry. Subsequently, we found that PGM1 correlates with phenotype of Pitta as described in the ancient text of Caraka Samhita, suggesting that the phenotypic classification of India’s traditional medicine has a genetic basis; and its Prakriti-based practice in vogue for many centuries resonates with personalized medicine.

DNA methylation analysis of phenotype specific stratified Indian population

Background

DNA methylation and its perturbations are an established attribute to a wide spectrum of phenotypic variations and disease conditions. Indian traditional system practices personalized medicine through indigenous concept of distinctly descriptive physiological, psychological and anatomical features known as prakriti. Here we attempted to establish DNA methylation differences in these three prakriti phenotypes.

Methods

Following structured and objective measurement of 3416 subjects, whole blood DNA of 147 healthy male individuals belonging to defined prakriti (Vata, Pitta and Kapha) between the age group of 20-30years were subjected to methylated DNA immunoprecipitation (MeDIP) and microarray analysis. After data analysis, prakriti specific signatures were validated through bisulfite DNA sequencing.

Results

Differentially methylated regions in CpG islands and shores were significantly enriched in promoters/UTRs and gene body regions. Phenotypes characterized by higher metabolism (Pitta prakriti) in individuals showed distinct promoter (34) and gene body methylation (204), followed by Vata prakriti which correlates to motion showed DNA methylation in 52 promoters and 139 CpG islands and finally individuals with structural attributes (Kapha prakriti) with 23 and 19 promoters and CpG islands respectively. Bisulfite DNA sequencing of prakriti specific multiple CpG sites in promoters and 5′-UTR such as; LHX1 (Vata prakriti), SOX11 (Pitta prakriti) and CDH22 (Kapha prakriti) were validated. Kapha prakriti specific CDH22 5′-UTR CpG methylation was also found to be associated with higher body mass index (BMI).

Conclusion

Differential DNA methylation signatures in three distinct prakriti phenotypes demonstrate the epigenetic basis of Indian traditional human classification which may have relevance to personalized medicine.

Electronic supplementary material

The online version of this article (doi:10.1186/s12967-015-0506-0) contains supplementary material, which is available to authorized users.

Determinants of prakriti, the human constitution types of Indian traditional medicine and its correlation with contemporary science

Background:

Constitutional type of an individual or prakriti is the basic clinical denominator in Ayurveda, which defines physical, physiological, and psychological traits of an individual and is the template for individualized diet, lifestyle counseling, and treatment. The large number of phenotype description by prakriti determination is based on the knowledge and experience of the assessor, and hence subject to inherent variations and interpretations.

Objective:

In this study we have attempted to relate dominant prakriti attribute to body mass index (BMI) of individuals by assessing an acceptable tool to provide the quantitative measure to the currently qualitative ayurvedic prakriti determination.

Materials and Methods:

The study is cross sectional, multicentered, and prakriti assessment of a total of 3416 subjects was undertaken. Healthy male, nonsmoking, nonalcoholic volunteers between the age group of 20-30 were screened for their prakriti after obtaining written consent to participate in the study. The prakriti was determined on the phenotype description of ayurvedic texts and simultaneously by the use of a computer-aided prakriti assessment tool. Kappa statistical analysis was employed to validate the prakriti assessment and Chi-square, Cramer's V test to determine the relatedness in the dominant prakriti to various attributes.

Results:

We found 80% concordance between ayurvedic physician and software in predicting the prakriti of an individual. The kappa value of 0.77 showed moderate agreement in prakriti assessment. We observed a significant correlations of dominant prakriti to place of birth and BMI with Chi-square, P < 0.01 (Cramer's V-value of 0.156 and 0.368, respectively).

Conclusion:

The present study attempts to integrate knowledge of traditional ayurvedic concepts with the contemporary science. We have demonstrated analysis of prakriti classification and its association with BMI and place of birth with the implications to one of the ways for human classification.