인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Background Obesity is a major global health concern closely linked to various disorders related to metabolism. Ayurveda, a traditional Indian system of medicine, categorizes individuals into three Prakriti types, Vata, Pitta, and Kapha, based on their physiological and psychological traits. This study investigates the relationship between the rs1137101 (Q223R) polymorphism and obesity, exploring the connection through Prakriti, which integrates genomic data with traditional health concepts. Methods The study included 300 participants selected based on their responses to the questionnaire and an Ayurvedic consultation. Blood samples were collected from these individuals, and DNA was extracted and analyzed for the rs1137101 variation using the PCR–RFLP method. Principal component analysis (PCA) was used to examine clustering patterns among Prakriti, genetic variants, and body composition. Additionally, the pathogenicity of the Q223R variant was evaluated using computational tools such as PANTHER, PhD-SNP, SIFT, SNAP, META-SNP, I-Mutant 2.0, MUpro, and iStable, employing sequence- and structure-based methods. Results The prevalence of the risk allele G was 50% in the obese group, compared to 38% in the normal group. PCA indicated that Kapha Prakriti is linked to the obese group, whereas Pitta and Vata correspond to the normal group. Genotype clustering revealed that the AG genotype is associated with both Kapha and Pitta, and the AA genotype is related to all three Prakriti types. In contrast, the GG genotype lacks a distinct connection. This suggests that rs1137101 polymorphism influences metabolic profiles variably across different constitutional types. Our research identified a statistically significant association between Kapha Prakriti and obesity ( p -value < 0.01). Furthermore, in silico analyses revealed that alterations in the amino acids of the leptin receptor are pathogenic and decreased protein stability. Conclusion This study suggests that the rs1137101 polymorphism in the leptin receptor gene is a notable risk factor for obesity among individuals with Kapha Prakriti. The in silico findings indicate that the Q223R variant is pathogenic, as it destabilizes protein structures and impairs leptin receptor activity. Our study shows how Prakriti classification combines with a genetic risk assessment to demonstrate ayurgenomics’ role in personalized obesity management.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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