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Fulltext Gene coexpression network analysis reveals perirenal adipose tissue as an important target of prenatal malnutrition in sheep

Ahmad S, Drag MH, Mohamad Salleh S, Cai Z, Nielsen MO

Physiol Genomics, 2023 Sep 01;55(9):392-413.
PMID: 37458462 DOI: 10.1152/physiolgenomics.00128.2022

We have previously demonstrated that pre- and early postnatal malnutrition in sheep induced depot- and sex-specific changes in adipose morphological features, metabolic outcomes, and transcriptome in adulthood, with perirenal (PER) as the major target followed by subcutaneous (SUB) adipose tissue. We aimed to identify coexpressed and hub genes in SUB and PER to identify the underlying molecular mechanisms contributing to the early nutritional programming of adipose-related phenotypic outcomes. Transcriptomes of SUB and PER of male and female adult sheep with different pre- and early postnatal nutrition histories were used to construct networks of coexpressed genes likely to be functionally associated with pre- and early postnatal nutrition histories and phenotypic traits using weighted gene coexpression network analysis. The modules from PER showed enrichment of cell cycle regulation, gene expression, transmembrane transport, and metabolic processes associated with both sexes' prenatal nutrition. In SUB (only males), a module of enriched adenosine diphosphate metabolism and development correlated with prenatal nutrition. Sex-specific module enrichments were found in PER, such as chromatin modification in the male network but histone modification and mitochondria- and oxidative phosphorylation-related functions in the female network. These sex-specific modules correlated with prenatal nutrition and adipocyte size distribution patterns. Our results point to PER as a primary target of prenatal malnutrition compared to SUB, which played only a minor role. The prenatal programming of gene expression and cell cycle, potentially through epigenetic modifications, might be underlying mechanisms responsible for observed changes in PER expandability and adipocyte-size distribution patterns in adulthood in both sexes.

Matched MeSH terms: Obesity/genetics
Transcriptomics expression analysis to unveil the molecular mechanisms underlying the cocoa polyphenol treatment in diet-induced obesity rats

Ali F, Ismail A, Esa NM, Pei CP

Genomics, 2015 Jan;105(1):23-30.
PMID: 25451742 DOI: 10.1016/j.ygeno.2014.11.002

Cocoa polyphenol (CP), due to their biological actions, may be supplementary treatments for adipose tissue-fat gain. However, the molecular mechanism of CPs is still ambiguous. This study investigated the hypothesis that CP treatment modulates expressing of lipid metabolism genes in mesenteric white adipose tissue (MES-WAT). Sprague-Dawley (SD) rats were fed a low-fat (LF) or high-fat (HF) diet for 12 weeks. Thereafter, HFD rats (n = 10/group) were treated at a dose of 600 mg/kg bw/day CPs (HFD + CPs) for 4 weeks. DNA microarray analysis resulted in 753 genes of the 13,008 genes expressed. Bioinformatics tools showed CP treatment significantly decreased gene expression levels for lipogenic enzymes, while increased the mRNA levels responsible for lipolysis enzymes. CP administration differentially regulates gene expression involved in lipid metabolism in MES-WAT. These data unveil a new insight into the molecular mechanisms underlying the pharmacological effect of CPs on obesity biomarkers in obese rats.

Matched MeSH terms: Obesity/genetics*
Khat (Catha edulis) upregulates lipolytic genes in white adipose tissue of male obese mice (C57BL/6J)

Alshagga MA, Mohamed Z, Seyedan A, Ebling FJP, Alshawsh MA

J Ethnopharmacol, 2020 Nov 15;262:113187.
PMID: 32730892 DOI: 10.1016/j.jep.2020.113187

ETHNOPHARMACOLOGICAL RELEVANCE: Khat (Catha edulis (Vahl) Forssk.) is a herb from the Celastraceae family (also known as qat, gaad, or mirra) that is widely-consumed in East Africa and in the Arabian peninsula. The green leaves and small stems are consumed primarily at recreational and social gatherings, and medicinally for their antidiabetic and appetite-suppression effects.
AIMS: The objectives of this study were to determine the effects of khat and its active alkaloid, cathinone, on food intake and body weight in mice maintained on a high-fat diet, and to investigate its mechanism of action in white adipose tissue and in the hypothalamus.
MATERIALS & METHOD: Adult male mice (C57BL/6J) were fed a high fat diet (HFD) for 8 weeks (n = 30), then divided into 5 groups and treated daily for a further 8 weeks with HFD + vehicle [control (HFD)], HFD + 15 mg/kg orlistat (HFDO), HFD + 200 mg/kg khat extract (HFDK200), HFD + 400 mg/kg khat extract (HFDK400) and HFD + 3.2 mg/kg cathinone (HFDCAT). Treatments were carried out once daily by gastric gavage. Blood and tissue samples were collected for biochemical, hormonal and gene expression analyses.
RESULTS: Khat extracts and orlistat treatment significantly reduced weight gain as compared to control mice on HFD, and cathinone administration completely prevented weight gain in mice fed on HFD. Khat treatment caused a marked reduction in body fat and in serum triglycerides. A dose-dependent effect of khat was observed in reducing serum leptin concentrations. Analysis of gene expression in adipose tissue revealed a significant upregulation of two lipolysis pathway genes:(adipose triglyceride lipase (PNPLA-2) and hormone-sensitive lipase (LIPE). In the hypothalamic there was a significant (P

Matched MeSH terms: Obesity/genetics*
Fulltext Genetic associations of the INSIG2 rs7566605 polymorphism with obesity-related metabolic traits in Malaysian Malays

Apalasamy YD, Moy FM, Rampal S, Bulgiba A, Mohamed Z

Genet. Mol. Res., 2014;13(3):4904-10.
PMID: 25062423 DOI: 10.4238/2014.July.4.4

A genome-wide association study showed that the tagging single nucleotide polymorphism (SNP) rs7566605 in the insulin-induced gene 2 (INSIG2) was associated with obesity. Attempts to replicate this result in different populations have produced inconsistent findings. We aimed to study the association between the rs7566605 SNP with obesity and other metabolic parameters in Malaysian Malays. Anthropometric and obesity-related metabolic parameters and DNA samples were collected. We genotyped the rs7566605 polymorphism in 672 subjects using real-time polymerase chain reaction. No significant associations were found between the rs7566605 tagging SNP of INSIG2 with obesity or other metabolic parameters in the Malaysian Malay population. The INSIG2 rs7566605 SNP may not play a role in the development of obesity-related metabolic traits in Malaysian Malays.

Matched MeSH terms: Obesity/genetics*
Association of ADIPOQ gene with obesity and adiponectin levels in Malaysian Malays

Apalasamy YD, Rampal S, Salim A, Moy FM, Bulgiba A, Mohamed Z

Mol Biol Rep, 2014 May;41(5):2917-21.
PMID: 24449366 DOI: 10.1007/s11033-014-3147-0

Studies have shown that single-nucleotide polymorphisms (SNPs) on the ADIPOQ gene have been linked with obesity and with adiponectin levels in various populations. Here, we aimed to investigate the association of ADIPOQ rs17366568 and rs3774261 SNPs with obesity and with adiponectin levels in Malaysian Malays. Obesity parameters and adiponectin levels were measured in 574 subjects. Genotyping was performed using real-time polymerase chain reaction and Sequenom MassARRAY. A significant genotypic association was observed between ADIPOQ rs17366568 and obesity. The frequencies of AG and AA genotypes were significantly higher in the obese group (11%) than in the non-obese group (5%) (P=0.024). The odds of A alleles occurring among the obese group were twice those among the non-obese group (odds ratio 2.15; 95% confidence interval 1.13-4.09). However, no significant association was found between allelic frequencies of ADIPOQ rs17366568 and obesity after Bonferroni correction (P>0.025) or between ADIPOQ rs3774261 and obesity both at allelic and genotypic levels. ADIPOQ SNPs were not significantly associated with log-adiponectin levels. GA, GG, and AG haplotypes of the ADIPOQ gene were not associated with obesity. We confirmed the previously reported association of ADIPOQ rs17366568 with the risk of obesity. ADIPOQ SNPs are not important modulators of adiponectin levels in this population.

Matched MeSH terms: Obesity/genetics*
Genetic association of SNPs in the FTO gene and predisposition to obesity in Malaysian Malays

Apalasamy YD, Ming MF, Rampal S, Bulgiba A, Mohamed Z

Braz. J. Med. Biol. Res., 2012 Dec;45(12):1119-26.
PMID: 22911346

The common variants in the fat mass- and obesity-associated (FTO) gene have been previously found to be associated with obesity in various adult populations. The objective of the present study was to investigate whether the single nucleotide polymorphisms (SNPs) and linkage disequilibrium (LD) blocks in various regions of the FTO gene are associated with predisposition to obesity in Malaysian Malays. Thirty-one FTO SNPs were genotyped in 587 (158 obese and 429 non-obese) Malaysian Malay subjects. Obesity traits and lipid profiles were measured and single-marker association testing, LD testing, and haplotype association analysis were performed. LD analysis of the FTO SNPs revealed the presence of 57 regions with complete LD (D' = 1.0). In addition, we detected the association of rs17817288 with low-density lipoprotein cholesterol. The FTO gene may therefore be involved in lipid metabolism in Malaysian Malays. Two haplotype blocks were present in this region of the FTO gene, but no particular haplotype was found to be significantly associated with an increased risk of obesity in Malaysian Malays.

Matched MeSH terms: Obesity/genetics*
Gender-dependent association of a β(2)-adrenergic gene variant with obesity parameters in Malaysian Malays

Apalasamy YD, Ming MF, Rampal S, Bulgiba A, Mohamed Z

Asia Pac J Public Health, 2015 Mar;27(2):NP154-65.
PMID: 22199155 DOI: 10.1177/1010539511430250

Recent findings have shown that the rs1042714 (Gln27Glu) single-nucleotide polymorphism (SNP) on the β2-adrenoceptor gene may predispose to obesity. The findings from other studies carried on different populations, however, have been inconsistent. The authors investigated the association between the rs1042714 SNP with obesity-related parameters. DNA of 672 Malaysian Malays was analyzed using real-time polymerase chain reaction. Univariate and multivariate linear regression analyses revealed significant associations between rs1042714 and diastolic blood pressure in the pooled Malaysian Malay subjects under additive and recessive models. After gender stratification, however, a significant association was found between the rs1042714 and triglyceride and the rs1042714 and log-transformed high-density lipoprotein cholesterol levels in Malaysian Malay men. No significant association was found between the SNP and log-transformed body mass index. This polymorphism may have an important role in the development of obesity-related traits in Malaysian Malays. Gender is an effect modifier for the effect of the rs1042714 polymorphism on obesity-related traits in Malaysian Malays.

Matched MeSH terms: Obesity/genetics*
Obesity and genomics: role of technology in unraveling the complex genetic architecture of obesity

Apalasamy YD, Mohamed Z

Hum Genet, 2015 Apr;134(4):361-74.
PMID: 25687726 DOI: 10.1007/s00439-015-1533-x

Obesity is a complex and multifactorial disease that occurs as a result of the interaction between "obesogenic" environmental factors and genetic components. Although the genetic component of obesity is clear from the heritability studies, the genetic basis remains largely elusive. Successes have been achieved in identifying the causal genes for monogenic obesity using animal models and linkage studies, but these approaches are not fruitful for polygenic obesity. The developments of genome-wide association approach have brought breakthrough discovery of genetic variants for polygenic obesity where tens of new susceptibility loci were identified. However, the common SNPs only accounted for a proportion of heritability. The arrival of NGS technologies and completion of 1000 Genomes Project have brought other new methods to dissect the genetic architecture of obesity, for example, the use of exome genotyping arrays and deep sequencing of candidate loci identified from GWAS to study rare variants. In this review, we summarize and discuss the developments of these genetic approaches in human obesity.

Matched MeSH terms: Obesity/genetics*
Polymorphisms of the resistin gene and their association with obesity and resistin levels in Malaysian Malays

Apalasamy YD, Rampal S, Salim A, Moy FM, Su TT, Majid HA, et al.

Biochem Genet, 2015 Jun;53(4-6):120-31.
PMID: 25991560 DOI: 10.1007/s10528-015-9678-9

Single nucleotide polymorphisms (SNP) in the resistin gene (RETN) are linked to obesity and resistin levels in various populations. However, results have been inconsistent. This study aimed to investigate association between polymorphisms in the resistin gene with obesity in a homogenous Malaysian Malay population. This study is also aimed to determine association between resistin levels with certain SNPs and haplotypes of RETN. A total of 631 Malaysian Malay subjects were included in this study and genotyping was carried out using Sequenom MassARRAY. There was no significant difference found in both allelic and genotype frequencies of each of the RETN SNPs between the obese and non-obese groups after Bonferroni correction. RETN rs34861192 and rs3219175 SNPs were significantly associated with log-resistin levels. The GG genotype carriers are found to have higher levels of log-resistin compared to A allele carriers. The RETN haplotypes (CAG, CGA and GA) were significantly associated with resistin levels. However, the haplotypes of the RETN gene were not associated with obesity. Resistin levels were not correlated to metabolic parameters such as body weight, waist circumference, body mass index, and lipid parameters. RETN SNPs and haplotypes are of apparent functional importance in the regulation of resistin levels but are not correlated with obesity and related markers.

Matched MeSH terms: Obesity/genetics*
Association of melanocortin-4 receptor gene polymorphisms with obesity-related parameters in Malaysian Malays

Apalasamy YD, Ming MF, Rampal S, Bulgiba A, Mohamed Z

Ann Hum Biol, 2013 Jan;40(1):102-6.
PMID: 22989167 DOI: 10.3109/03014460.2012.720709

Melanocortin-4 receptor (MC4R) is an important regulator of body weight and energy intake. Genetic polymorphisms of the MC4R gene have been found to be linked to obesity in many recent studies across the globe.

Matched MeSH terms: Obesity/genetics*
High-intensity interval training induced PGC-1∝ and AdipoR1 gene expressions and improved insulin sensitivity in obese individuals

Asilah Za'don NH, Amirul Farhana MK, Farhanim I, Sharifah Izwan TO, Appukutty M, Salim N, et al.

Med J Malaysia, 2019 12;74(6):461-467.
PMID: 31929469

INTRODUCTION: High-intensity interval training (HIIT) has been found to improve cardiometabolic health outcome as compared to moderate-intensity continuous exercise. However, there is still limited data on the benefits of HIIT on the expression of regulatory proteins that are linked to skeletal muscle metabolism and insulin sensitivity in obese adults. This study investigated the effects of HIIT intervention on expressions of peroxisome proliferatoractivated receptor-γ coactivator 1-∝ (PGC-1∝) and adiponectin receptor-1 (AdipoR1), insulin sensitivity (HOMAIR index), and body composition in overweight/obese individuals.
METHODS: Fifty overweight/obese individuals aged 22-29 years were assigned to either no-exercise control (n=25) or HIIT (n=25) group. The HIIT group underwent a 12-week intervention, three days/week, with intensity of 65-80% of age-based maximum heart rate. Anthropometric measurements, homeostatic model of insulin resistance (HOMA-IR) and gene expression analysis were conducted at baseline and post intervention.
RESULTS: Significant time-by-group interactions (p<0.001) were found for body weight, BMI, waist circumference and body fat percentage. The HIIT group had lower body weight (2.3%, p<0.001), BMI (2.7%, p<0.001), waist circumference (2.4%, p<0.001) and body fat percentage (4.3%, p<0.001) post intervention. Compared to baseline, expressions of PGC-1∝ and AdipoR1 were increased by approximately three-fold (p=0.019) and two-fold (p=0.003) respectively, along with improved insulin sensitivity (33%, p=0.019) in the HIIT group.
CONCLUSION: Findings suggest that HIIT possibly improved insulin sensitivity through modulation of PGC-1∝ and AdipoR1. This study also showed that improved metabolic responses can occur despite modest reduction in body weight in overweight/obese individuals undergoing HIIT intervention.

Matched MeSH terms: Obesity/genetics
The PPARgamma coding region and its role in visceral obesity

Boon Yin K, Najimudin N, Muhammad TS

Biochem Biophys Res Commun, 2008 Jun 27;371(2):177-9.
PMID: 18413145 DOI: 10.1016/j.bbrc.2008.04.013

Peroxisome proliferator-activated receptor gamma (PPARgamma) is a ligand activated transcription factor, plays many essential roles of biological function in higher organisms. The PPARgamma is mainly expressed in adipose tissue. It regulates the transcriptional activity of genes by binding with other transcription factor. The PPARgamma coding region has been found to be closest to that of monkey in ours and other research groups. Thus, monkey is a more suitable animal model for future PPARgamma studying, although mice and rat are frequently being used. The PPARgamma is involved in regulating alterations of adipose tissue masses result from changes in mature adipocyte size and/or number through a complex interplay process called adipogenesis. However, the role of PPARgamma in negatively regulating the process of adipogenesis remains unclear. This review may help we investigate the differential expression of key transcription factor in adipose tissue in response to visceral obesity-induced diet in vivo. The study may also provide valuable information to define a more appropriate physiological condition in adipogenesis which may help to prevent diseases cause by negative regulation of the transcription factors in adipose tissue.

Matched MeSH terms: Obesity/genetics*
Fulltext Blood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort

Carayol M, Leitzmann MF, Ferrari P, Zamora-Ros R, Achaintre D, Stepien M, et al.

J Proteome Res, 2017 Sep 01;16(9):3137-3146.
PMID: 28758405 DOI: 10.1021/acs.jproteome.6b01062

Metabolomics is now widely used to characterize metabolic phenotypes associated with lifestyle risk factors such as obesity. The objective of the present study was to explore the associations of body mass index (BMI) with 145 metabolites measured in blood samples in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolites were measured in blood from 392 men from the Oxford (UK) cohort (EPIC-Oxford) and in 327 control subjects who were part of a nested case-control study on hepatobiliary carcinomas (EPIC-Hepatobiliary). Measured metabolites included amino acids, acylcarnitines, hexoses, biogenic amines, phosphatidylcholines, and sphingomyelins. Linear regression models controlled for potential confounders and multiple testing were run to evaluate the associations of metabolite concentrations with BMI. 40 and 45 individual metabolites showed significant differences according to BMI variations, in the EPIC-Oxford and EPIC-Hepatobiliary subcohorts, respectively. Twenty two individual metabolites (kynurenine, one sphingomyelin, glutamate and 19 phosphatidylcholines) were associated with BMI in both subcohorts. The present findings provide additional knowledge on blood metabolic signatures of BMI in European adults, which may help identify mechanisms mediating the relationship of BMI with obesity-related diseases.

Matched MeSH terms: Obesity/genetics
Fulltext No association of peptide tyrosine-tyrosine (PYY) gene R72T variant with obesity in the Kampar Health Clinic cohort, Malaysia

Chan PM, Fan SH, Say YH

Malays J Nutr, 2011 Aug;17(2):201-12.
PMID: 22303574 MyJurnal

Peptide Tyrosine-Tyrosine (PYY) is a 36-amino acid peptide hormone released post-prandially from the endocrine cells in the intestinal tract to suppress pancreatic secretions and eventually reduce appetite. The R72T variant in the PYY gene (rs1058046) has been associated with increased susceptibility to obesity. Therefore, the objective of this study was to investigate the association of this variant with obesity and its related anthropometric measurements among the Kampar Health Clinic cohort, Malaysia.

Matched MeSH terms: Obesity/genetics*
Fulltext Screening of Peroxisome Proliferator-Activated Receptors (PPARs) α, γ and α Gene Polymorphisms for Obesity and Metabolic Syndrome Association in the Multi-Ethnic Malaysian Population

Chia PP, Fan SH, Say YH

Ethn Dis, 2015;25(4):383-90.
PMID: 26673968 DOI: 10.18865/ed.25.4.383

This study aimed to investigate the association of peroxisome proliferator-activated receptor (PPAR) genes PPARα L162V, PPARγ2 C161T and PPARδ T294C single nucleotide polymorphisms (SNPs) with obesity and metabolic syndrome (Met-S) in a multi-ethnic population in Kampar, Malaysia.

Matched MeSH terms: Obesity/genetics*
Fulltext Prevalence of melanocortin receptor 4 (MC4R) V103I gene variant and its association with obesity among the Kampar Health Clinic cohort, Perak, Malaysia

Chua HN, Fan SH, Say YH

Med J Malaysia, 2012 Apr;67(2):234-5.
PMID: 22822657 MyJurnal

This study investigated the prevalence of the Melanocortin receptor 4 (MC4R) V1031 gene variant and its association with obesity among a cohort of 254 patients (101 males; 118 obese) attending the Kampar Health Clinic. Genotyping revealed the mutated I allele frequency of 0.02, no homozygous mutated (II), and similar distribution of V and I alleles across BMI groups, genders and ethnic groups. No significant difference was found for the means of anthropometric measurements between alleles. Prevalence of this gene variant among the Malaysian cohort was similar with previous populations (2-4% of mutated allele carrier), but was not associated with obesity.

Matched MeSH terms: Obesity/genetics*
The paradox of low body mass index and high body fat percentage among Chinese, Malays and Indians in Singapore

Deurenberg-Yap M, Schmidt G, van Staveren WA, Deurenberg P

Int. J. Obes. Relat. Metab. Disord., 2000 Aug;24(8):1011-7.
PMID: 10951540

OBJECTIVE: To study the relationship between body fat percentage and body mass index (BMI) in three different ethnic groups in Singapore (Chinese, Malays and Indians) in order to evaluate the validity of the BMI cut-off points for obesity.
DESIGN: Cross-sectional study.
SUBJECTS: Two-hundred and ninety-one subjects, purposively selected to ensure adequate representation of range of age and BMI of the general adult population, with almost equal numbers from each ethnic and gender group.
MEASUREMENTS: Body weight, body height, sitting height, wrist and femoral widths, skinfold thicknesses, total body water by deuterium oxide dilution, densitometry with Bodpod(R) and bone mineral content with Hologic(R) QDR-4500. Body fat percentage was calculated using a four-compartment model.
RESULTS: Compared with body fat percentage (BF%) obtained using the reference method, BF% for the Singaporean Chinese, Malays and Indians were under-predicted by BMI, sex and age when an equation developed in a Caucasian population was used. The mean prediction error ranged from 2.7% to 5.6% body fat. The BMI/BF% relationship was also different among the three Singaporean groups, with Indians having the highest BF% and Chinese the lowest for the same BMI. These differences could be ascribed to differences in body build. It was also found that for the same amount of body fat as Caucasians who have a body mass index (BMI) of 30 kg/m2 (cut-off for obesity as defined by WHO), the BMI cut-off points for obesity would have to be about 27 kg/m2 for Chinese and Malays and 26 kg/m2 for Indians.
CONCLUSIONS: The results show that the relationship between BF% and BMI is different between Singaporeans and Caucasians and also among the three ethnic groups in Singapore. If obesity is regarded as an excess of body fat and not as an excess of weight (increased BMI), the cut-off points for obesity in Singapore based on the BMI would need to be lowered. This would have immense public health implications in terms of policy related to obesity prevention and management.

Matched MeSH terms: Obesity/genetics
Replication of 13 obesity loci among Singaporean Chinese, Malay and Asian-Indian populations

Dorajoo R, Blakemore AI, Sim X, Ong RT, Ng DP, Seielstad M, et al.

Int J Obes (Lond), 2012 Jan;36(1):159-63.
PMID: 21544081 DOI: 10.1038/ijo.2011.86

Recent genome-wide association studies (GWAS) have identified 38 obesity-associated loci among European populations. However, their contribution to obesity in other ethnicities is largely unknown.

Matched MeSH terms: Obesity/genetics*
Fulltext Gene-environment Interaction: The Causes of High Obesity Incidence

Ellulu MS, Jalambo MO

Kathmandu Univ Med J (KUMJ), 2018 2 16;15(57):91-93.
PMID: 29446373

Urbanization has provided experimental settings for testing the interactive relationship between genetic background and changes in lifestyle and dietary patterns. The concept of gene-environment interaction was described by epidemic of obesity along with urbanization. Genome-wide association has identified several genes such as melanocortin-4 receptor that associates with environmental influences of obesity. Gene environment (GxE) interaction refers to modification by an environmental factor of the effect of a genetic variant on a phenotypic trait. GxE interactions can serve to modulate the adverse effects of a risk allele, or can exacerbate the genotype-phenotype relationship and increase risk.

Matched MeSH terms: Obesity/genetics
Fulltext Leptin and leptin receptor gene polymorphisms and their association with plasma leptin levels and obesity in a multi-ethnic Malaysian suburban population

Fan SH, Say YH

J Physiol Anthropol, 2014;33:15.
PMID: 24947733 DOI: 10.1186/1880-6805-33-15

BACKGROUND: This study was to investigate the prevalence of single nucleotide polymorphisms (SNPs) in leptin gene LEP (A19G and G2548A) and leptin receptor gene LEPR (K109R and Q223R) and their association with fasting plasma leptin level (PLL) and obesity in a Malaysian suburban population in Kampar, Perak.
METHODS: Convenience sampling was performed with informed consents, and the study sample was drawn from patients who were patrons of the Kampar Health Clinic. A total of 408 subjects (mean age, 52.4 +/- 13.7 years; 169 men, 239 women; 190 obese, 218 non-obese; 148 Malays, 177 ethnic Chinese, 83 ethnic Indians) participated. Socio-demographic data and anthropometric measurements were taken, and genotyping was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP).
RESULTS: The LEP A19G, G2548A and LEPR K109R, Q223R variant allele frequencies were 0.74, 0.67 and 0.61, 0.79, respectively. The genotype and allele distributions of these gene variants were significantly different among ethnic groups, but not among body mass index (BMI) classes. Subjects with LEPR K109 and Q223 allele had significantly higher systolic blood pressure and adiposity indices after adjustment for ethnicity (higher BMI, total body and subcutaneous fat; lower skeletal muscle percentage). Subjects with LEPR 109R allele had lower PLL than their wild-type allele counterparts. The influence of LEP A19G and G2548A SNPs on blood pressures, anthropometrics, and PLL was not evident. Interestingly, synergistic effect of the LEP and LEPR SNPs was observed as subjects homozygous for all four SNPs studied exhibited significantly higher subcutaneous fat and PLL than those with other genotype combinations.
CONCLUSIONS: The LEP and LEPR SNPs in this study may not be an obesity marker among Malaysians in this population, but were associated with ethnicity. Our findings suggest that each of these SNPs contributes to minor but significant variation in obesity-related traits and in combination they display synergistic effects on subcutaneous fat and PLL.

Matched MeSH terms: Obesity/genetics*

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