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Interaction of genetic and environmental factors for body fat mass control: observational study for lifestyle modification and genotyping.
Kang, Joon Ho; Kim, Heewon; Kim, Jinki; Seo, Jong-Hwa; Cha, Soyeon; Oh, Hyunjung; Kim, Kyunga; Park, Seong-Jin; Kim, Eunbin; Kong, Sunga; Lee, Jae-Hak; Bae, Joon Seol; Won, Hong-Hee; Joung, Je-Gun; Yang, Yoon Jung; Kim, Jinho; Park, Woong-Yang.
Afiliação
  • Kang JH; Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, 16419, South Korea.
  • Kim H; Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University, Ilwon-ro 81, Gangnam-gu, Seoul, 06351, South Korea.
  • Kim J; Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University, Ilwon-ro 81, Gangnam-gu, Seoul, 06351, South Korea.
  • Seo JH; AI&SW Center, SAIT, SEC, 130, Samsung-ro, Yeongtong-gu, Suwon, Gyeonggi, 16678, South Korea.
  • Cha S; AI&SW Center, SAIT, SEC, 130, Samsung-ro, Yeongtong-gu, Suwon, Gyeonggi, 16678, South Korea.
  • Oh H; Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University, Ilwon-ro 81, Gangnam-gu, Seoul, 06351, South Korea.
  • Kim K; Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University, Ilwon-ro 81, Gangnam-gu, Seoul, 06351, South Korea.
  • Park SJ; Samsung Medical Center, Gangnam-gu, Seoul, 06351, South Korea.
  • Kim E; AI&SW Center, SAIT, SEC, 130, Samsung-ro, Yeongtong-gu, Suwon, Gyeonggi, 16678, South Korea.
  • Kong S; Department of Clinical Nutrition, School of Public Health, Dongduk Women's University, Seoul, 02748, Korea.
  • Lee JH; Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea.
  • Bae JS; Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University, Ilwon-ro 81, Gangnam-gu, Seoul, 06351, South Korea.
  • Won HH; Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University, Ilwon-ro 81, Gangnam-gu, Seoul, 06351, South Korea.
  • Joung JG; Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University of Medicine, Seoul, 06351, South Korea.
  • Yang YJ; Samsung Medical Center, Gangnam-gu, Seoul, 06351, South Korea.
  • Kim J; Department of Foods and Nutrition, College of Natural Sciences, Dongduk Women's University, 60, Hwarang-ro 13-gil, Seongbuk-gu, Seoul, 02748, Korea. yjyang@dongduk.ac.kr.
  • Park WY; Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University, Ilwon-ro 81, Gangnam-gu, Seoul, 06351, South Korea. jinho.jk.kim@samsung.com.
Sci Rep ; 11(1): 13180, 2021 06 23.
Article em En | MEDLINE | ID: mdl-34162918
Previous studies suggested that genetic, environmental factors and their interactions could affect body fat mass (BFM). However, studies describing these effects were performed at a single time point in a population. In this study, we investigated the interaction between genetic and environmental factors in affecting BFM and implicate the healthcare utilization of lifestyle modifications from a personalized and genomic perspective. We examined how nutritional intake or physical activity changes in the individuals affect BFM concerning the genetic composition. We conducted an observational study including 259 adult participants with single nucleotide polymorphism (SNP) genotyping and longitudinal lifestyle monitoring, including food consumption and physical activities, by following lifestyle modification guidance. The participants' lifelog data on exercise and diet were collected through a wearable device for 3 months. Moreover, we measured anthropometric and serologic markers to monitor their potential changes through lifestyle modification. We examined the influence of genetic composition on body fat reduction induced by lifestyle changes using genetic risk scores (GRSs) of three phenotypes: GRS-carbohydrate (GRS-C), GRS-fat (GRS-F), and GRS-exercise (GRS-E). Our results showed that lifestyle modifications affected BFM more significantly in the high GRS class compared to the low GRS class, indicating the role of genetic factors affecting the efficiency of the lifestyle modification-induced BFM changes. Interestingly, the influence of exercise modification in the low GRS class with active lifestyle change was lower than that in the high GRS class with inactive lifestyle change (P = 0.022), suggesting the implication of genetic factors for efficient body fat control.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tecido Adiposo / Interação Gene-Ambiente / Estilo de Vida Tipo de estudo: Observational_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tecido Adiposo / Interação Gene-Ambiente / Estilo de Vida Tipo de estudo: Observational_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article