Genetic Contributions to Childhood Obesity: Association of Candidate Gene Polymorphisms and Overweight/Obesity in Korean Preschool Children

The Level of Inflammatory Markers and Their Relationship with Fat Tissue Distribution in Children with Obesity and Type 2 Diabetes Mellitus

OBJECTIVE

This study aimed to determine the changes in proinflammatory and anti-inflam- matory markers in children aged 10-18, who were not diagnosed with type 2 diabetes mel- litus, were obese/overweight, and children with type 2 diabetes mellitus. In addition, we aimed to investigate whether these markers were associated with clinical and laboratory parame- ters, subcutaneous adipose tissue, preperitoneal adipose tissue, visceral adipose tissue, and hepatosteatosis.

MATERIALS AND METHODS

Children between the ages of 10 and 18, obese/overweight, with type 2 diabetes mellitus, and with a normal body mass index were included. Fat tissue thick- ness was measured. Tumor necrosis factor-α, interleukin-1β, interleukin-6, interleukin-18, and interferon-γ as proinflammatory markers and transforming growth factor-β and interleukin-10 levels as anti-inflammatory markers were studied.

RESULTS

Twenty-eight (31.8%) controls, 44 (50%) obese/overweight, and 16 (18.2%) patients with type 2 diabetes mellitus were included in our study. Age, sex, and puberty were similar between the groups. In the type 2 diabetes mellitus group, the subcutaneous fat tissue thick- ness was higher than that in the obese group, and the preperitoneal and visceral fat tissue thicknesses were similar to those in the obese group. Proinflammatory markers and interleu- kin-10 levels were similar in the obese/overweight, type 2 diabetes mellitus, and control groups. Transforming growth factor-β levels were significantly lower in the type 2 diabetes mellitus group than in the control group (P = .039). Transforming growth factor-β levels and other labo- ratory variables did not differ significantly in the type 2 diabetes mellitus group.

CONCLUSION

While there was no change in all markers in the obese/overweight group com- pared with the control group, proinflammatory markers in the type 2 diabetes mellitus group were similar to those in the obese/overweight and control groups, and transforming growth factor-β level, an anti-inflammatory marker, was lower in the type 2 diabetes mellitus group than in the control group.

Association of ACE1 I/D rs1799752 and ACE2 rs2285666 polymorphisms with the infection and severity of COVID-19: A meta-analysis

BACKGROUND

ACE1 I/D rs1799752 and ACE2 rs2285666 genetic polymorphisms could play a critical role in altering the clinical outcomes of SARS-CoV-2. The findings of previous studies remained inconclusive. This meta-analysis was performed to evaluate the association and provide a more reliable outcome.

METHODS

This study was completed following the updated recommendations of PRISMA using RevMan 5.4.1 statistical software.

RESULTS

A total of 11 studies with 950 severe cases and 1573 non-severe cases with COVID-19 infection were included. Pooled analysis showed that ACE1 I/D polymorphism was correlated with the severity of SARS-CoV-2 in the DD genotype and D allele for the fixed-effects model (OR:1.27 and OR:1.17). Besides, codominant 3, recessive, and allele models were associated with the severity of the fixed-effects model (OR:1.35, OR:1.37, and OR:1.20) in Caucasian ethnicity. ACE2 rs2285666 was linked with the severity in codominant 3 (OR:2.63, for both random- and fixed effects-models), overdominant (OR:1.97, for random-effects model and OR:1.97, for fixed effects-model), and recessive model (OR:0.41 for fixed- and random-effects model). Allele model of rs2285666 showed a significant association in the fixed-effects model (OR:1.61).

CONCLUSION

Our present meta-analysis suggests that ACE1 I/D rs1799752 and ACE2 rs2285666 variants may enhance the severity in SARS-CoV-2 infected patients. Future studies are warranted to verify our findings.

Metabolomic Signatures for the Effects of Weight Loss Interventions on Severe Obesity in Children and Adolescents

Childhood obesity has increased worldwide, and many clinical and public interventions have attempted to reduce morbidity. We aimed to determine the metabolomic signatures associated with weight control interventions in children with obesity. Forty children from the “Intervention for Children and Adolescent Obesity via Activity and Nutrition (ICAAN)” cohort were selected according to intervention responses. Based on changes in body mass index z-scores, 20 were responders and the remaining non-responders. Their serum metabolites were quantitatively analyzed using capillary electrophoresis time-of-flight mass spectrometry at baseline and after 6 and 18 months of intervention. After 18 months of intervention, the metabolite cluster changes in the responders and non-responders showed a difference on the heatmap, but significant metabolites were not clear. However, regardless of the responses, 13 and 49 metabolites were significant in the group of children with obesity intervention at 6 months and 18 months post-intervention compared to baseline. In addition, the top five metabolic pathways (D-glutamine and D-glutamate metabolism; arginine biosynthesis; alanine, aspartate, and glutamate metabolism; TCA cycle (tricarboxylic acid cycle); valine, leucine, and isoleucine biosynthesis) including several amino acids in the metabolites of obese children after 18 months were significantly changed. Our study showed significantly different metabolomic profiles based on time post obesity-related intervention. Through this study, we can better understand and predict childhood obesity through metabolite analysis and monitoring.

Tracking Preschoolers' Lifestyle Behaviors and Testing Maternal Sociodemographics and BMI in Predicting Child Obesity Risk

BACKGROUND

Longitudinal data investigating tracking of children's lifestyle behaviors and predictors of childhood obesity are limited.

OBJECTIVES

We examined changes in children's lifestyle behaviors (dietary, physical activity, and screen time) from ages 2-5 y to determine if maternal sociodemographic factors and BMI predict child obesity at 3.5 y and 5 y.

METHODS

Data were obtained from 667 first-time mothers who were recruited into the Healthy Beginnings Trial at 24-34 weeks of gestation in Sydney, Australia. Child lifestyle behaviors were assessed using face-to-face questionnaire interviews with mothers. To measure child and maternal anthropometry, BMI (in kg/m2) was calculated using measured height and weight. Children were categorized as overweight or obese based on the International Obesity Task Force criteria. We used 1-factor repeated-measures ANOVA to track preschoolers' lifestyle behaviors and multiple logistic regression to determine obesity predictors.

RESULTS

In children aged 2-5 y, consumption of vegetables (ηp2 = 0.06; P < 0.005) and milk (ηp2 = 0.02; P < 0.001) decreased, whereas physical activity (ηp2 = 0.07; P < 0.001) increased. Discretionary foods (sweet snacks, fast foods, salty snacks, processed meats, confectionary) (ηp2 = 0.03-0.25; P ≤ 0.01) and screen time (ηp2 = 0.39; P < 0.001) increased. Maternal BMI (in kg/m2) (Exp β: 1.06; 95% CI:1.01, 1.12 ; P=0.02), marital status (married/de facto compared with single) (Exp β: 0.06; 95% CI:0.01, 0.26; P < 0.001), and child BMI at 2 y (Exp β: 1.82; 95% CI: 1.46, 2.27; P < 0.001) predicted overweight/obesity at 3.5 y. Child BMI at 3.5 y (Exp β: 3.51; 95% CI: 2.50, 4.93; P < 0.001) predicted obesity at 5 y.

CONCLUSIONS

Poor dietary and lifestyle behaviours track in early childhood, with maternal single-parent status and high maternal and child BMI at 2 y predicting earlier obesity onset.

Association of angiotensin-converting enzyme gene insertion/deletion polymorphism and obstructive sleep apnoea in a Chinese population: A meta-analysis

Introduction:

Many studies have investigated the association between angiotensin-converting enzyme (ACE) gene insertion/deletion (I/D) polymorphism and susceptibility to obstructive sleep apnoea (OSA). However, few have confirmed the relationship between ACE and OSA in the Chinese population. We performed a meta-analysis of studies relating the ACE I/D polymorphism to the risk of OSA in a Chinese population.

Methods:

We evaluated eligible published studies from several databases for this meta-analysis. Subgroup analyses were performed for hypertension. Pooled odds ratios and 95% confidence intervals were calculated using a fixed- or random-effects model.

Results:

Ten studies were identified to analyse the association between ACE I/D polymorphism and OSA risk. No marked associations were found in any genetic model (p>0.05). Subgroup analysis showed an association with hypertension (D vs. I, DD vs. II, ID vs. DD+II, DD+ID vs. II, ID vs. II; p<0.05), which was confirmed by sensitivity analyses. No obvious publication bias was found using Egger’s test (p>0.05).

Conclusions:

The ACE I/D polymorphism was not associated with an increased risk of OSA in a Chinese population. However, within the hypertensive subgroup, we detected a significant association between the ACE polymorphism and OSA. More case-control investigations are required.

Angiotensin-converting enzyme gene insertion/deletion polymorphism is not associated with BMI in Korean adults

PURPOSE

Recent studies have demonstrated a probable association between ACE I/D polymorphism and obesity. Thus, this study aimed to investigate whether ACE I/D polymorphism influenced the susceptibly of developing obesity in Korean adults.

METHODS

A total of 353 healthy Korean adults aged between 30 and 82 years were recruited, including 157 males and 196 females. Among the participants, 103 (29.2 %) were classified as normal (BMI < 23 kg/m2), 117 (33.1 %) as overweight (23 kg/m2 ≤ BMI < 25 kg/m2), and 133 (37.7 %) as obese (BMI ≥ 25 kg/m2). ACE polymorphism (rs1799752) analysis was performed using the MGB TaqMan® SNP Genotyping assay with 3 types of primers and 2 types of probes. The distributions of the ACE genotypes and allele frequencies were analyzed among the three groups using the Hardy-Weinberg equilibrium, chi-square tests, and multiple regression analysis.

RESULTS

The distribution of the ACE genotypes were as follows: normal [II: n=38 (36.9 %), ID: n=46 (36.8 %), DD: n=19 (18.4 %)], overweight [II: n=43 (36.8 %), ID: n=55 (47.0 %), DD: n=19 (16.2 %)], and obese [II: n=41 (30.8 %), ID: n=76 (57.0 %), DD: n=16 (12.0 %)]. Unexpectedly, the I allele, rather than the D allele, was common in the obese group.

CONCLUSION

ACE I/D polymorphism is not associated with BMI in Korean adults. Thus, it is unlikely to be a powerful candidate gene for obesity in Korean adults.