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Altered circulating concentrations of active glucagon-like peptide (GLP-1) and dipeptidyl peptidase 4 (DPP4) in obese subjects and their association with insulin resistance

Ahmed RH, Huri HZ, Muniandy S, Al-Hamodi Z, Al-Absi B, Alsalahi A, et al.

Clin Biochem, 2017 Sep;50(13-14):746-749.
PMID: 28288852 DOI: 10.1016/j.clinbiochem.2017.03.008

OBJECTIVES: Soluble DPP4 (sDPP4) is a novel adipokine that degrades glucagon-like peptide (GLP-1). We evaluated the fasting serum levels of active GLP-1 and sDPP4 in obese, overweight and normal weight subjects to assess the association between sDPP4 levels, active GLP-1 levels and insulin resistance in obese subjects.
METHODS: The study involved 235 Malaysian subjects who were randomly selected (66 normal weight subjects, 97 overweight, 59 obese subjects, and 13 subjects who were underweight). Serum sDPP4 and active GLP-1 levels were examined by enzyme-linked immunosorbent assay (ELISA). Also, body mass index kg/m(2) (BMI), lipid profiles, insulin and glucose levels were evaluated. Insulin resistance (IR) was estimated via the homeostasis model assessment for insulin resistance (HOMA-IR).
RESULTS: Serum sDPP4 levels were significantly higher in obese subjects compared to normal weight subjects (p=0.034), whereas serum levels of active GLP-1 were lower (p=0.021). In obese subjects, sDPP4 levels correlated negatively with active GLP-1 levels (r(2)=-0.326, p=0.015). Furthermore, linear regression showed that sDPP4 levels were positively associated with insulin resistance (B=82.28, p=0.023) in obese subjects.
CONCLUSION: Elevated serum sDPP4 levels and reduced GLP-1 levels were observed in obese subjects. In addition, sDPP4 levels correlated negatively with active GLP-1 levels but was positively associated with insulin resistance. This finding provides evidence that sDPP4 and GLP-1 may play an important role in the pathogenesis of obesity, suggesting that sDPP4 may be valuable as an early marker for the augmented risk of obesity and insulin resistance.

Matched MeSH terms: Obesity/ethnology
Fulltext Interleukin-1 Receptor Antagonist and Interleukin-4 Genes Variable Number Tandem Repeats Are Associated with Adiposity in Malaysian Subjects

Kok YY, Ong HH, Say YH

J Obes, 2017;2017:4104137.
PMID: 28293435 DOI: 10.1155/2017/4104137

Interleukin-1 receptor antagonist (IL1RA) intron 2 86 bp repeat and interleukin-4 (IL4) intron 3 70 bp repeat are variable number tandem repeats (VNTRs) that have been associated with various diseases, but their role in obesity is elusive. The objective of this study was to investigate the association of IL1RA and IL4 VNTRs with obesity and adiposity in 315 Malaysian subjects (128 M/187 F; 23 Malays/251 ethnic Chinese/41 ethnic Indians). The allelic distributions of IL1RA and IL4 were significantly different among ethnicities, and the alleles were associated with total body fat (TBF) classes. Individuals with IL1RA I/II genotype or allele II had greater risk of having higher overall adiposity, relative to those having the I/I genotype or I allele, respectively, even after controlling for ethnicity [Odds Ratio (OR) of I/II genotype = 12.21 (CI = 2.54, 58.79; p = 0.002); II allele = 5.78 (CI = 1.73, 19.29; p = 0.004)]. However, IL4 VNTR B2 allele was only significantly associated with overall adiposity status before adjusting for ethnicity [OR = 1.53 (CI = 1.04, 2.23; p = 0.03)]. Individuals with IL1RA II allele had significantly higher TBF than those with I allele (31.79 ± 2.52 versus 23.51 ± 0.40; p = 0.005). Taken together, IL1RA intron 2 VNTR seems to be a genetic marker for overall adiposity status in Malaysian subjects.

Matched MeSH terms: Obesity/ethnology
Fulltext The GReat-Child™ Trial: A Quasi-Experimental Intervention on Whole Grains with Healthy Balanced Diet to Manage Childhood Obesity in Kuala Lumpur, Malaysia

Koo HC, Poh BK, Abd Talib R

Nutrients, 2018 Jan 30;10(2).
PMID: 29385769 DOI: 10.3390/nu10020156

Background: The GReat-Child Trial was a quasi-experimental intervention that has emphasized whole grain as a strategy to manage childhood obesity. Methods: Two schools in Kuala Lumpur with similar demographic characteristics were assigned as intervention (IG) and control (CG). Eligibility criteria were overweight/obese children aged 9 to 11 years who had no serious co-morbidity. Children who reported consuming wholegrain foods in their 3-day diet-recall during screening were excluded. A total of 63 children (31 IG; 32 CG) completed the entire intervention program. The IG children underwent six 30-min nutrition education lessons and had school delivery of wholegrain food on a daily basis over a 12-week period. Parents of IG children attended 1-h individual diet counseling. Anthropometric outcomes including BMI-for-age z-score (BAZ), body fat percentage and waist circumference were measured at baseline [T0], post-intervention [T1] (3rd month) and follow-up [T2] (9th month). Results: IG showed significantly lower BAZ (weighted difference: -0.12; 95% CI: -0.21, -0.03; p = 0.009), body fat percentage (weighted difference: -2.6%; 95% CI: -3.7, -1.5; p < 0.001) and waist circumference (weighted difference: -2.4 cm; 95% CI: -3.8, -1.0; p = 0.001) compared to CG. IG reported significantly lower body fat percentage (weighted difference: -3.4%; 95% CI: 1.8, 5.0; p < 0.001) and waist circumference (weighted difference: -2.1 cm; 95% CI: -3.7, -0.5; p = 0.014) at T1 compared to T0. Conclusions: The GReat-Child Trial made a positive impact in managing childhood obesity. It can be incorporated into childhood obesity intervention programs that are being implemented by the policy makers.

Matched MeSH terms: Pediatric Obesity/ethnology
Fulltext Racial Differences in Rates of Change of Childhood Body Mass Index and Blood Pressure Percentiles

Akhabue E, Perak AM, Chan C, Greenland P, Allen NB

J Pediatr, 2018 Nov;202:98-105.e6.
PMID: 30177351 DOI: 10.1016/j.jpeds.2018.07.023

OBJECTIVE: To assess whether racial differences in rates of change in body mass index (BMI) and blood pressure (BP) percentiles emerge during distinct periods of childhood.
STUDY DESIGN: In this retrospective cohort study, we included children aged 5-20 years who received regular outpatient care at a large academic medical center between January 1996 and April 2016. BMI was expressed as age- and sex-specific percentiles and BP as age-, sex-, and height-specific percentiles. Linear mixed models incorporating linear spline functions with 2 breakpoints at 9 and 12 years of age were used to estimate the changes in BMI and BP percentiles over time during age periods: <9, 9-<12, and >12 years of age.
RESULTS: Among 5703 children (24.8% black, 10.1% Hispanic), Hispanic females had an increased rate of change in BMI percentile per year relative to white females during ages 5-9 years (+2.94%; 95% CI, 0.24-5.64; P = .033). Black and Hispanic males also had an increased rate of change in BMI percentile per year relative to white males that occurred from ages 5-9 (+2.35% [95% CI, 0.76-3.94; P = .004]; +2.63% [95% CI, 0.31-4.95; P = .026], respectively). There were no significant racial differences in the rate of change of BP percentiles, although black females had higher hypertension rates compared with white females (10.0% vs 5.7%; P

Matched MeSH terms: Pediatric Obesity/ethnology
Prevalence and Risk Factors of Hypertension in the Vietnamese Elderly

Bui Van N, Vo Hoang L, Bui Van T, Anh HNS, Minh HT, Do Nam K, et al.

High Blood Press Cardiovasc Prev, 2019 Jun;26(3):239-246.
PMID: 31020550 DOI: 10.1007/s40292-019-00314-8

INTRODUCTION: Hypertension (HT) is considered as a major determinant of cardiovascular complications. However, few studies have addressed HT prevalence among adults aged 60 years and older in the northern mountainous region of Vietnam.
AIM: To determine the prevalence of HT and its risk factors in the elderly in that area.
METHODS: A cross-sectional study was conducted in a study area in the northern of Vietnam. We interviewed 354 adults aged 60 years or over who were randomly selected, and then measured their blood pressure.
RESULTS: The overall HT prevalence was 62.15%. The isolated systolic hypertension (ISH) prevalence was 22.88%. There was a slight decrease in the proportion of HT by stage 1, stage 2 and stage 3 respectively. The univariate and multivariate logistic regression analysis indicated some risk factors for HT including age groups, body mass index (BMI) and waist-hip ratio (WHR) (p

Matched MeSH terms: Obesity/ethnology
Fulltext Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

Salarzadeh Jenatabadi H, Bt Wan Mohamed Radzi CWJ, Samsudin N

Int J Environ Res Public Health, 2020 07 18;17(14).
PMID: 32708480 DOI: 10.3390/ijerph17145201

As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created postpartum obesity modeling; (ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women's BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.

Matched MeSH terms: Obesity/ethnology*