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Book ChapterDOI

Genomics and Traditional Indian Ayurvedic Medicine

TL;DR: Ayurgenomics is proposed as a novel approach for integration of Ayurveda into current medical practice to address the variability in therapeutic outcome as well as evolve preventive measures in health and disease.
Abstract: In the present times need is being felt for a change in paradigm from the current practice of modern medicine. This is not only to meet the challenges in diagnosis and treatment of chronic and complex diseases but also to address the variability in therapeutic outcome as well as evolve preventive measures in health and disease. The advent of genomics has provided a tremendous impetus to this area. However, there are a number of gaps before this is realized. Ayurveda, the ancient Indian system of predictive and personalized medicine still holds contemporary in the current era of P4 (predictive, preventive, personalized, and participatory) medicine and also has a promotive component. Ayurveda has documented methods for maintenance of health and personalized management of diseases. It is also widely practiced in most Indian communities despite sociocultural variations and many aspects for preventive health are also integrated into Indian traditional living. Despite this a large number of challenges exist in getting this system to mainstream and for its global acceptability. This review highlights some of these aspects and also proposes Ayurgenomics as a novel approach for integration of Ayurveda into current medical practice.
Citations
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Journal Article
TL;DR: Why interactome networks are important to consider in biology, how they can be mapped and integrated with each other, what global properties are starting to emerge from interactome network models, and how these properties may relate to human disease are detailed.
Abstract: Complex biological systems and cellular networks may underlie most genotype to phenotype relationships. Here, we review basic concepts in network biology, discussing different types of interactome networks and the insights that can come from analyzing them. We elaborate on why interactome networks are important to consider in biology, how they can be mapped and integrated with each other, what global properties are starting to emerge from interactome network models, and how these properties may relate to human disease.

1,323 citations

Journal ArticleDOI
TL;DR: 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.
Abstract: 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.

9 citations

Book Chapter
01 Mar 2010
TL;DR: The list of compounds derived from such knowledge is very long indeed and includes morphine, codeine, and aspirin to name just a few but also drugs licensed relatively recently like galanthamine and artemisinine as mentioned in this paper.
Abstract: Drug discovery and development (very often unknowingly) is based on traditional and local knowledge about a species’ medical use or toxicological effects (both desired and undesired effects). The list of compounds ultimately derived from such knowledge is very long indeed and includes morphine, codeine, and aspirin to name just a few but also drugs licensed relatively recently like galanthamine and artemisinine. Here I review this link and – using examples of new drugs currently under development preclinically or in clinical trials – discuss how such new drugs have been ‘discovered’, or more precisely developed into a clinically used medication.

3 citations

References
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01 Jan 2001
TL;DR: This analysis of metabolic networks of 43 organisms representing all three domains of life shows that, despite significant variation in their individual constituents and pathways, these metabolic networks have the same topological scaling properties and show striking similarities to the inherent organization of complex non-biological systems.

4,357 citations

Journal ArticleDOI
TL;DR: Advances in this direction are essential for identifying new disease genes, for uncovering the biological significance of disease-associated mutations identified by genome-wide association studies and full-genome sequencing, and for identifying drug targets and biomarkers for complex diseases.
Abstract: Given the functional interdependencies between the molecular components in a human cell, a disease is rarely a consequence of an abnormality in a single gene, but reflects the perturbations of the complex intracellular and intercellular network that links tissue and organ systems. The emerging tools of network medicine offer a platform to explore systematically not only the molecular complexity of a particular disease, leading to the identification of disease modules and pathways, but also the molecular relationships among apparently distinct (patho)phenotypes. Advances in this direction are essential for identifying new disease genes, for uncovering the biological significance of disease-associated mutations identified by genome-wide association studies and full-genome sequencing, and for identifying drug targets and biomarkers for complex diseases.

3,978 citations

Journal ArticleDOI
Qun Pan1, Ofer Shai1, Leo J. Lee1, Brendan J. Frey1, Benjamin J. Blencowe1 
TL;DR: It is estimated that transcripts from ∼95% of multiexon genes undergoAlternative splicing and that there are ∼100,000 intermediate- to high-abundance alternative splicing events in major human tissues.
Abstract: We carried out the first analysis of alternative splicing complexity in human tissues using mRNA-Seq data. New splice junctions were detected in approximately 20% of multiexon genes, many of which are tissue specific. By combining mRNA-Seq and EST-cDNA sequence data, we estimate that transcripts from approximately 95% of multiexon genes undergo alternative splicing and that there are approximately 100,000 intermediate- to high-abundance alternative splicing events in major human tissues. From a comparison with quantitative alternative splicing microarray profiling data, we also show that mRNA-Seq data provide reliable measurements for exon inclusion levels.

3,455 citations

Journal ArticleDOI
20 Oct 2005-Nature
TL;DR: An initial version of a proteome-scale map of human binary protein–protein interactions is described, which increases by ∼70% the set of available binary interactions within the tested space and reveals more than 300 new connections to over 100 disease-associated proteins.
Abstract: Systematic mapping of protein-protein interactions, or 'interactome' mapping, was initiated in model organisms, starting with defined biological processes and then expanding to the scale of the proteome. Although far from complete, such maps have revealed global topological and dynamic features of interactome networks that relate to known biological properties, suggesting that a human interactome map will provide insight into development and disease mechanisms at a systems level. Here we describe an initial version of a proteome-scale map of human binary protein-protein interactions. Using a stringent, high-throughput yeast two-hybrid system, we tested pairwise interactions among the products of approximately 8,100 currently available Gateway-cloned open reading frames and detected approximately 2,800 interactions. This data set, called CCSB-HI1, has a verification rate of approximately 78% as revealed by an independent co-affinity purification assay, and correlates significantly with other biological attributes. The CCSB-HI1 data set increases by approximately 70% the set of available binary interactions within the tested space and reveals more than 300 new connections to over 100 disease-associated proteins. This work represents an important step towards a systematic and comprehensive human interactome project.

2,936 citations

Journal ArticleDOI
TL;DR: The large-scale dynamics of the microbiome can be described by many of the tools and observations used in the study of population ecology, andiphering the metagenome and its aggregate genetic information can also be used to understand the functional properties of the microbial community.
Abstract: Interest in the role of the microbiome in human health has burgeoned over the past decade with the advent of new technologies for interrogating complex microbial communities. The large-scale dynamics of the microbiome can be described by many of the tools and observations used in the study of population ecology. Deciphering the metagenome and its aggregate genetic information can also be used to understand the functional properties of the microbial community. Both the microbiome and metagenome probably have important functions in health and disease; their exploration is a frontier in human genetics.

2,650 citations