Evidence map›Paper›PMID 23049851›Full record

ArticlePloS one2012

Potential of ayurgenomics approach in complex trait research: leads from a pilot study on rheumatoid arthritis.

Ramesh C Juyal, Sapna Negi, Preeti Wakhode, Sulekha Bhat, Bheema Bhat, B K Thelma

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. A scoping review of clinicalFrontiers in medicine · 2026
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  12. Ayurgenomics and Modern Medicine.Medicina (Kaunas, Lithuania) · 2020
    Review
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  14. Article
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  16. Epigenetic Mechanisms of Integrative Medicine.Evidence-based complementary and alternative medicine : eCAM · 2017
    Review
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  18. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Ramesh C JuyalExperimental Animal Facility, National Institute of Immunology, New Delhi, India.
Sapna Negi
Preeti Wakhode
Sulekha Bhat
Bheema Bhat
B K Thelma
Holy Family Hospital · INNational Institute of Immunology · INUniversity of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInconsistent results across association studies including Genome-wide association, have posed a major challenge in complex disease genetics. Of the several factors which contribute to this, phenotypic heterogeneity is a serious limitation encountered in modern medicine. On the other hand, Ayurveda, a holistic Indian traditional system of medicine, enables subgrouping of individuals into three major categories namely Vata, Pitta and Kapha, based on their physical and mental constitution, referred to as Prakriti. We hypothesised that conditioning association studies on prior risk, predictable in Ayurveda, will uncover much more variance and potentially open up more predictive health. OBJECTIVES AND

methodsIdentification of genetic susceptibility markers by combining the prakriti based subgrouping of individuals with genetic analysis tools was attempted in a Rheumatoid arthritis (RA) cohort. Association of 21 markers from commonly implicated inflammatory and oxidative stress pathways was tested using a case-control approach in a total cohort comprising 325 cases and 356 controls and in the three subgroups separately. We also tested few postulates of Ayurveda on the disease characteristics in different prakriti groups using clinico-genetic data.

resultsInflammatory genes like IL1β (C-C-C haplotype, p=0.0005, OR=3.09) and CD40 (rs4810485 allelic, p=0.04, OR=2.27) seem to be the determinants in Vata subgroup whereas oxidative stress pathway genes are observed in Pitta (SOD3 rs699473, p=0.004, OR=1.83; rs2536512 p=0.005; OR=1.88 and PON1 rs662, p=0.04, OR=1.53) and Kapha (SOD3 rs2536512, genotypic, p=0.02, OR=2.39) subgroups. Fixed effect analysis of the associated markers from CD40, SOD3 and TNFα with genotype X prakriti interaction terms suggests heterogeneity of effects within the subgroups. Further, disease characteristics such as severity was most pronounced in Vata group.

conclusionsThis exploratory study suggests discrete causal pathways for RA etiology in prakriti based subgroups, thereby, validating concepts of prakriti and personalized medicine in Ayurveda. Ayurgenomics approach holds promise for biomarker discovery in complex diseases.

Indexed as

Medicine, AyurvedicAdolescentAdultAllelesArthritis, RheumatoidCohort StudiesFemaleGenetic MarkersGenetic Predisposition to DiseaseGenotypeHaplotypesHumansInflammationMaleMiddle AgedModels, GeneticGenetic Markers

Identifiers

PMID23049851
PMCPMC3458907
OpenAlexW2024010930

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.