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

Mobeen, Fauzul; Sharma, Vikas; Prakash, Tulika

doi:10.1007/s13205-020-02376-1

Cited by 5 publications

(4 citation statements)

References 71 publications

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“…Moreover, the relationship between the fecal microbiota and ICC might be obscured by variations in data [ 11 ]. Not only this, the fact that different bacterial compositions may provide similar functionality is also one of the difficulties [ 12 ]. These problems are analogous to the challenges faced by the geneticists [ 13 ], where there are a number of genetic interactions that can be associated with cervical cancer, making it difficult to determine the causative agents [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Dynamics of Fecal Microbiota with and without Invasive Cervical Cancer and Its Application in Early Diagnosis

Kang

Jung

Lee

et al. 2020

Cancers

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The fecal microbiota is being increasingly implicated in the diagnosis of various diseases. However, evidence on changes in the fecal microbiota in invasive cervical cancer (ICC) remains scarce. Here, we aimed to investigate the fecal microbiota of our cohorts, develop a diagnostic model for predicting early ICC, and identify potential fecal microbiota-derived biomarkers using amplicon sequencing data. We obtained fecal samples from 29 healthy women (HC) and 17 women with clinically confirmed early ICC (CAN). Although Shannon’s diversity index was not reached at statistical significance, the Chao1 and Observed operational taxonomic units (OTUs) in fecal microbiota was significantly different between CAN and HC group. Furthermore, there were significant differences in the taxonomic profiles between HC and CAN; Prevotella was significantly more abundant in the CAN group and Clostridium in the HC group. Linear discriminant analysis effect size (LEfSe) analysis was applied to validate the taxonomic differences at the genus level. Furthermore, we identified a set of seven bacterial genera that were used to construct a machine learning (ML)-based classifier model to distinguish CAN from patients with HC. The model had high diagnostic utility (area under the curve [AUC] = 0.913) for predicting early ICC. Our study provides an initial step toward exploring the fecal microbiota and helps clinicians diagnose.

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Section: Introductionmentioning

confidence: 99%

Dynamics of Fecal Microbiota with and without Invasive Cervical Cancer and Its Application in Early Diagnosis

Kang

Jung

Lee

et al. 2020

Cancers

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“…Besides these, there are differences in different cellular and physiological axes that are associated with development, cell adhesion, signaling, and transport functions as well as processes that govern circadian rhythm, olfaction, and so on. Differences in gut microbiome that are correlated with many disease predispositions have also been reported amongst Prakriti type (Chauhan et al, 2018;Chaudhari et al, 2019;Mobeen et al, 2020;Shalini et al, 2021). Recently a study on two cohorts has also reported physiological difference in response to orthostatic stress that was evaluated by heart rate variability (Rani et al, 2022).…”

Section: Molecular Correlates From Studies On Extreme Prakriti Types ...mentioning

confidence: 85%

“…These display contrasting phenotyping attributes comprise 10% of the population and have predominance of either of dosha s. Prakriti of individuals is assessed using a compendium of composite phenotypes that encompass anatomical, physiological, response, and activity-associated attributes. Nearly two decades of exploratory research carried out by different groups have provided molecular correlates of Prakriti from different functional hierarchies – phenomic, genetic, genomic, epigenomic, transcriptomic, metagenomic as well as at biochemical, immunological, and cellular levels, and most recently, at the physiological level (Bhushan et al, 2005 ; Prasher et al, 2008 ; Aggarwal et al, 2010 , 2015 ; Joshi et al, 2011 ; Rotti et al, 2014 , 2015 ; Satyamoorthy et al, 2014 ; Govindaraj et al, 2015 ; Tiwari et al, 2017 ; Chauhan et al, 2018 ; Chaudhari et al, 2019 ; Abbas et al, 2020 , 2022 ; Mobeen et al, 2020 ; Chakraborty et al, 2021 ; Shalini et al, 2021 ; Rani et al, 2022 ). These studies have been primarily conducted on healthy individuals of extreme and contrasting constitution types that are most easily discernible at the level of composite phenotypes, and who also have contrasting responses and vulnerability (Prasher et al, 2017 ).…”

Section: Ayurgenomics: a Framework For Probing Ontological Links Betw...mentioning

confidence: 99%

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

Mukerji¹

2023

Camb. prisms Precis. med.

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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.

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“…Another clinically important target for metagenomic studies to analyze the novel gene pools includes the anaerobic human gut environment to perform studies related to gut associated diseases and their potential treatment methods ( Mobeen et al., 2020 ). Overcoming the challenges in the field of “Probiotics” can be another important area of research in this direction.…”

Section: The Futurementioning

confidence: 99%

Decoding the roles of extremophilic microbes in the anaerobic environments: Past, Present, and Future

Patidar

Prakash

2022

Current Research in Microbial Sciences

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

Cited by 5 publications

References 71 publications

Dynamics of Fecal Microbiota with and without Invasive Cervical Cancer and Its Application in Early Diagnosis

Dynamics of Fecal Microbiota with and without Invasive Cervical Cancer and Its Application in Early Diagnosis

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

Decoding the roles of extremophilic microbes in the anaerobic environments: Past, Present, and Future

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