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  1. Chew EGY, Liany H, Tan LCS, Au WL, Prakash KM, Annuar AA, et al.
    Neurobiol Aging, 2019 02;74:235.e1-235.e4.
    PMID: 30337193 DOI: 10.1016/j.neurobiolaging.2018.09.013
    Recent whole-exome sequencing studies in European patients with Parkinson's disease (PD) have identified potential risk variants across 33 novel PD candidate genes. We aim to determine if these reported candidate genes are similarly implicated in Asians by assessing common, rare, and novel nonsynonymous coding variants by sequencing all 33 genes in 198 Chinese samples and genotyping coding variants in an independent set of 9756 Chinese samples. We carried out further targeted sequencing of CD36 in an additional 576 Chinese and Korean samples. We found that only 8 of 43 reported risk variants were polymorphic in our Chinese samples. We identified several heterozygotes for rare loss-of-function mutations, including the reported CD36 p.Gln74Ter variant, in both cases and controls. We also observed 2 potential compound heterozygotes among PD cases for rare loss-of-function mutations in CD36 and SSPO. The other reported variants were common in East Asians and not associated with PD, completely absent, or only found in controls. Therefore, the 33 reported candidate genes and associated variants are unlikely to confer significant PD risk in the East Asian population.
    Matched MeSH terms: Antigens, CD36/genetics*
  2. Hatmal MM, Alshaer W, Mahmoud IS, Al-Hatamleh MAI, Al-Ameer HJ, Abuyaman O, et al.
    PLoS One, 2021;16(10):e0257857.
    PMID: 34648514 DOI: 10.1371/journal.pone.0257857
    CD36 (cluster of differentiation 36) is a membrane protein involved in lipid metabolism and has been linked to pathological conditions associated with metabolic disorders, such as diabetes and dyslipidemia. A case-control study was conducted and included 177 patients with type-2 diabetes mellitus (T2DM) and 173 control subjects to study the involvement of CD36 gene rs1761667 (G>A) and rs1527483 (C>T) polymorphisms in the pathogenesis of T2DM and dyslipidemia among Jordanian population. Lipid profile, blood sugar, gender and age were measured and recorded. Also, genotyping analysis for both polymorphisms was performed. Following statistical analysis, 10 different neural networks and machine learning (ML) tools were used to predict subjects with diabetes or dyslipidemia. Towards further understanding of the role of CD36 protein and gene in T2DM and dyslipidemia, a protein-protein interaction network and meta-analysis were carried out. For both polymorphisms, the genotypic frequencies were not significantly different between the two groups (p > 0.05). On the other hand, some ML tools like multilayer perceptron gave high prediction accuracy (≥ 0.75) and Cohen's kappa (κ) (≥ 0.5). Interestingly, in K-star tool, the accuracy and Cohen's κ values were enhanced by including the genotyping results as inputs (0.73 and 0.46, respectively, compared to 0.67 and 0.34 without including them). This study confirmed, for the first time, that there is no association between CD36 polymorphisms and T2DM or dyslipidemia among Jordanian population. Prediction of T2DM and dyslipidemia, using these extensive ML tools and based on such input data, is a promising approach for developing diagnostic and prognostic prediction models for a wide spectrum of diseases, especially based on large medical databases.
    Matched MeSH terms: Antigens, CD36/genetics*
  3. Ong HH, Tan YN, Say YH
    Physiol Behav, 2017 01 01;168:128-137.
    PMID: 27847178 DOI: 10.1016/j.physbeh.2016.11.006
    We determined whether single nucleotide polymorphisms (SNPs; rs1761667 and rs1527483) in the fatty acid translocase CD36 gene - a receptor for fatty acids - is associated with oral fat perception (OFP) of different fat contents in custards and commercially-available foods, and obesity measures in Malaysian subjects (n=313; 118 males, 293 ethnic Chinese; 20 ethnic Indians). A 170-mm visual analogue scale was used to assess the ratings of perceived fat content, oiliness and creaminess of 0%, 2%, 6% and 10% fat content-by-weight custards and low-fat/regular versions of commercially-available milk, mayonnaise and cream crackers. Overall, the subjects managed to significantly discriminate the fat content, oiliness and creaminess between low-fat/regular versions of milk and mayonnaise. Females rated the perception of fat content and oiliness of both milks higher, but ethnicity, obesity and adiposity status did not seem to play a role in influencing most of OFP. The overall minor allele frequencies for rs1761667 and rs1527483 were 0.30 and 0.26, respectively. Females and individuals with rs1527483 TT genotype significantly perceived greater creaminess of 10% fat-by-weight custard. Also, individuals with rs1527483 TT genotype and T allele significantly perceived greater fat content of cream crackers, independent of fat concentration. rs1761667 SNP did not significantly affect OFP, except for cream crackers. Both gene variants were also not associated with obesity measures. Taken together, this study supports the notion that CD36 - specifically rs1527483, plays a role in OFP, but not in influencing obesity in Malaysian subjects. Besides, gender is an important factor for OFP, where females had higher sensitivity.
    Matched MeSH terms: Antigens, CD36/genetics*
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