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Predicting susceptibility to inflammaging using a genetic inflammatory index through Prakriti-based phenotypic
Neha Bera1, Agaje Gowri S1, Nousheen Syed2
1School of Biosciences, Chanakya University, Bengaluru, Karnataka, India.
Frontiers in Immunology
|August 13, 2026
Summary
Inflammaging, or chronic inflammation, varies between individuals due to genetic and epigenetic factors. This study proposes Prakriti, an Ayurvedic concept, as a biomarker for predicting inflammation susceptibility and guiding healthcare strategies.
Area of Science:
- Immunology
- Genetics
- Aging Research
- Ayurveda
Background:
- Inflammaging is chronic, low-grade inflammation linked to biological aging.
- Interindividual variation in inflammaging is influenced by genetic and epigenetic factors.
- Phenotypic stratification can inform healthcare decisions, especially during public health emergencies.
Purpose of the Study:
- To introduce a novel framework predicting inflammaging susceptibility based on Prakriti, an individual's unique constitutional phenotype.
- To propose Prakriti as a phenotypic biomarker for genetic inflammatory tone.
- To develop a mathematical model, the Genetic Inflammatory Index (GII), for quantifying baseline inflammatory tone.
Main Methods:
- Utilizing ayurgenomics evidence for genotype-phenotype correlations.
- Developing a mathematical model (GII) based on cytokine single nucleotide polymorphism (SNP) scores.
- Hypothesizing Prakriti-based stratification of genetic inflammatory tone (Vata/Pitta pro-inflammatory, Kapha anti-inflammatory).
Main Results:
- Vata and Pitta dominant Prakriti are hypothesized to have a pro-inflammatory genetic predisposition (GII > 0).
- Kapha dominant Prakriti is hypothesized to possess anti-inflammatory genetic resilience (GII < 0).
- Vata and Pitta Prakriti individuals are predicted to show greater epigenetic age acceleration compared to Kapha Prakriti individuals.
Conclusions:
- Prakriti may serve as a valuable phenotypic biomarker for assessing genetic inflammatory tone.
- This framework could enable personalized medical care and vaccination strategies.
- Further research using epigenetic clocks in Prakriti-stratified cohorts is needed to validate these hypotheses.
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