Interaction between the &lt;i&gt;RGS6&lt;/i&gt; gene and psychosocial stress on obesity-related traits

Kim, Hyun Jin; Min, Jin Young; Min, Kyoung-Bok

doi:10.1507/endocrj.ej16-0438

Cited by 7 publications

(7 citation statements)

References 22 publications

(23 reference statements)

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“…Obesity is often the result of pathological behaviours implemented in an eating disorder . Vice versa, psychosocial stress may affect the risk of obesity, modifying food intake and choice …”

Section: Discussionmentioning

confidence: 99%

Oral health‐related quality of life in patients with disorders of nutrition

Shay

Ami

Ianculovici

et al. 2018

J of Oral Rehabilitation

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Background: Researchers demonstrated a correlation between nutrition and healthrelated quality of life (HRQoL). Little is known about the correlation between disorders of nutrition (DON) and Oral HRQoL (OHRQoL). Objectives: (a) To measure OHRQoL in DON patients compared to patients attending nutritional counselling for other reasons (eg, systemic diseases or general dietary counselling) (NCOR) and to healthy controls attending routine dental screenings. (b) To analyse associations between OHRQoL and demographics, health-related behaviours and nutritional practices. We hypothesised that OHRQoL is impaired in DON patients and correlates with poor health-related behaviours and nutritional practices Methods: Demographic, smoking, alcohol and physical activity habits, verbal pain scale, oral health impact profile-14 (OHIP-14) and nutritional practice data were collected from 63 DON, 35 NCOR and 100 controls. Results: Compared to controls, DON patients exhibited poorer OHIP-14 global scores and had more functional limitation, physical disability, psychological disability, social disability and handicap. OHIP-14 global score was positively associated with maternal origin, oral symptoms, eggs and eggplant consumption, avoiding seasoning, hot drinks and fibrous food and negatively associated with physical activity and fresh vegetable consumption. In the conceptual hierarchical multiple regression model, verbal pain scale, eggplant consumption and physical activity were mediators in the relationship between DON and OHIP-14. DON, physical activity and eggplant consumption also directly associated with OHRQoL. Conclusions: Oral HRQoL was impaired in DON patients and correlated with poor health-related behaviours and nutritional practices. Routine workup of DON patients should include OHRQoL assessment. K E Y W O R D S disorders of nutrition, human study, nutrition, oral health-related quality of life, quality of life

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Section: Discussionmentioning

confidence: 99%

Oral health‐related quality of life in patients with disorders of nutrition

Shay

Ami

Ianculovici

et al. 2018

J of Oral Rehabilitation

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“…24 RGS6 was closely associated with abdominal obesity and interacted with psychosocial stress for obesity-related traits. 25 Furthermore, the ST8SIA5 gene has emerged as a novel locus associated with central obesity in healthy subjects and was detected by epigenetic association studies. Modifying the ST8SIA5 transcriptional regulatory region resulted in the disturbance of ganglioside synthesis.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the knockdown of RGS6 affected adult hippocampal neurogenesis 24 . RGS6 was closely associated with abdominal obesity and interacted with psychosocial stress for obesity‐related traits 25 . Furthermore, the ST8SIA5 gene has emerged as a novel locus associated with central obesity in healthy subjects and was detected by epigenetic association studies.…”

Section: Discussionmentioning

confidence: 99%

Interaction of environmental factors with the polygenic risk scores of thinness‐related genes in preventing obesity risk in middle‐aged adults: The KoGES

Zhou

Liu

Park

2023

J Human Nutrition Diet

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Background Some persons are genetically resistant to obesity, but only a few studies have evaluated thinness genes for preventing obesity. We aimed to investigate the association of polygenic variants with being underweight and their interaction with the lifestyles of middle‐aged and elderly persons and identify potential new genetic approaches for managing body weight. Methods In total, 58,701 participants aged 40–77 years were recruited from urban hospitals in Korea. Underweight (case) was defined as body mass index (BMI) < 18.5 kg m2 (n = 991) and normal weight (control, n = 21,921) was defined as 18.5 ≤ BMI < 23 kg m2. A genome‐wide association study was run to identify thinness‐related single nucleotide polymorphisms (SNPs) after adjustment for compound factors using Gplink. The generalised multifactor dimensionality reduction program was used to identify the genetic variants with SNP–SNP interactions. The polygenic risk score (PRS) was calculated by summing up the number of risk alleles in each SNP and classifying them into low‐, medium‐ and high‐PRS. Results The best model included the ANK2_rs7656666, CAST_rs28042, SLC1A3_rs928431867, CHST12_rs2906173, ALOX5_rs1051713, RGS6_rs17180754, ST8SIA5_rs79491311 and DCC_rs35721894 alleles. The participants with high‐PRS had a lower BMI (p < 0.0001) than those with low‐PRS and were 3.834 (2.58–5.70) times more likely to be underweight after multivariate adjustment (p < 0.001). The selected SNPs were correlated with each other and highly expressed in brain‐related genes. The genes with minor alleles of CAST_rs28042 and CHST12_rs2906173 exhibited a higher expression frequency in brain‐related tissues. PRS had significant interactions with protein, sodium, indigestible carbohydrates, calcium intake and exercise (p < 0.05), influencing the underweight state. People with a high‐PRS were more underweight than those with low‐PRS under high protein, sodium, high calcium, low indigestible carbohydrate intake and low exercise by 3.75, 3.88, 7.05, 3.18 and 3.80 times, respectively (p < 0.0001). Conclusions In conclusion, adults having a high‐PRS were significantly correlated with being underweight, especially in combination with a particular nutritional status. These results show the potential for thinness genes to be applied to personalised nutrition for preventing obesity through targeted gene therapy.

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“…However, it is difficult to detect gene-environment interactions evaluated on a genome-wide scale due to the massive sample sizes needed to detect interaction effects. The few studies that have examined interaction between genetics and the psychosocial environment interaction have focused only on a few key SNPs from one or two genes [ 56 ]. The present study is the first study to our knowledge to survey a variety of social/psychosocial factors and more than 113K SNPs from 97 genes/regions.…”

Section: Discussionmentioning

confidence: 99%

Interaction between Social/Psychosocial Factors and Genetic Variants on Body Mass Index: A Gene-Environment Interaction Analysis in a Longitudinal Setting

Zhao

Ware

et al. 2017

IJERPH

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Obesity, which develops over time, is one of the leading causes of chronic diseases such as cardiovascular disease. However, hundreds of BMI (body mass index)-associated genetic loci identified through large-scale genome-wide association studies (GWAS) only explain about 2.7% of BMI variation. Most common human traits are believed to be influenced by both genetic and environmental factors. Past studies suggest a variety of environmental features that are associated with obesity, including socioeconomic status and psychosocial factors. This study combines both gene/regions and environmental factors to explore whether social/psychosocial factors (childhood and adult socioeconomic status, social support, anger, chronic burden, stressful life events, and depressive symptoms) modify the effect of sets of genetic variants on BMI in European American and African American participants in the Health and Retirement Study (HRS). In order to incorporate longitudinal phenotype data collected in the HRS and investigate entire sets of single nucleotide polymorphisms (SNPs) within gene/region simultaneously, we applied a novel set-based test for gene-environment interaction in longitudinal studies (LGEWIS). Childhood socioeconomic status (parental education) was found to modify the genetic effect in the gene/region around SNP rs9540493 on BMI in European Americans in the HRS. The most significant SNP (rs9540488) by childhood socioeconomic status interaction within the rs9540493 gene/region was suggestively replicated in the Multi-Ethnic Study of Atherosclerosis (MESA) (p = 0.07).

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Interaction between the <i>RGS6</i> gene and psychosocial stress on obesity-related traits

Cited by 7 publications

References 22 publications

Oral health‐related quality of life in patients with disorders of nutrition

Oral health‐related quality of life in patients with disorders of nutrition

Interaction of environmental factors with the polygenic risk scores of thinness‐related genes in preventing obesity risk in middle‐aged adults: The KoGES

Interaction between Social/Psychosocial Factors and Genetic Variants on Body Mass Index: A Gene-Environment Interaction Analysis in a Longitudinal Setting

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