CD36 gene variant rs1761667(G/A) as a biomarker in obese type 2 diabetes mellitus cases

被引:1
|
作者
Shukla, Ashwin Kumar [1 ]
Shamsad, Amreen [1 ]
Kushwah, Atar Singh [1 ]
Singh, Shalini [2 ]
Usman, Kauser [3 ]
Banerjee, Monisha [1 ,2 ]
机构
[1] Univ Lucknow, Dept Zool, Mol & Human Genet Lab, Lucknow 226007, India
[2] Univ Lucknow, Inst Adv Mol Genet & Infect Dis, ONGC Ctr Adv Studies, Lucknow 226007, India
[3] King Georges Med Univ, Dept Med, Lucknow 226003, India
关键词
CD36 gene variants; Obesity; Prognostic biomarker; Risk assessment; Type 2 diabetes mellitus; Biochemical risk factors; HIGH-DENSITY-LIPOPROTEIN; LIPID TASTE PERCEPTION; FATTY-ACID; CARDIOVASCULAR RISK; METABOLIC SYNDROME; ASSOCIATION; CLUSTER; POLYMORPHISM; GENOTYPE; INSULIN;
D O I
10.1186/s43042-024-00478-6
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background Several reports discussed a connection between CD36 genotypes associated with obesity, influencing the development of Type 2 diabetes mellitus (T2DM). Therefore, this study examines the prognostic value of CD36 polymorphism rs1761667 (G/A) in individuals with obese T2DM. The investigation also explores the correlation between this genetic variation and the clinical/biochemical parameters of the subjects.Methods Blood samples of a total of 475 subjects from north India were collected from the outpatient unit (OPD), Department of Medicine, KGMU, Lucknow as per inclusion/exclusion criteria. Anthropometric details of study subjects were recorded and biochemical parameters were estimated in 250 T2DM cases, 75 obese T2DM cases, and 150 controls. The CD36 gene variant rs1761667 (G/A) was subject to genotypic analysis using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method, utilizing specific primers and HhaI enzyme. All statistical analysis was done using SPSS (ver. 21.0) and Prism (5.01) software.Results Fasting plasma glucose (FPG), systolic blood pressure (SBP), post-prandial glucose (PPG) were significant in T2DM subjects. Lipid profile such as Total Cholesterol (TC), Low-Density Lipoprotein (LDL) and Very Low-Density Lipoprotein (VLDL) were also found significantly associated with obese T2DM cases. GA and AA genotypes of rs1761667 (G/A) showed significant associations in obese T2DM cases. The GA genotype demonstrated a considerable association (P < 0.001) with a 2.77-fold increased susceptibility to the high risk of T2DM. The AA genotype was found to be significantly associated (P = 0.008) with 2.94-fold higher risk of T2DM in obesity while 9.33 folds significant risk of developing obesity in T2DM cases.Conclusions The risk of obesity in T2DM cases can be assessed by genotyping the CD36 genetic variant rs1761667 (G/A). However, raised FPG, PPG, TC, LDL, and VLDL showed poor prognosis in obese T2DM cases. CD36 gene variant can be proposed as a prognostic biomarker for risk prediction of T2DM and obesity, while anthro-biochemical risk factors as preventive biomarker.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Investigating the association of CD36 gene polymorphisms (rs1761667 and rs1527483) with T2DM and dyslipidemia: Statistical analysis, machine learning based prediction, and meta-analysis
    Hatmal, Ma'mon M.
    Alshaer, Walhan
    Mahmoud, Ismail S.
    Al-Hatamleh, Mohammad A. I.
    Al-Ameer, Hamzeh J.
    Abuyaman, Omar
    Zihlif, Malek
    Mohamud, Rohimah
    Darras, Mais
    Al Shhab, Mohammad
    Abu-Raideh, Rand
    Ismail, Hilweh
    Al-Hamadi, Ali
    Abdelhay, Ali
    PLOS ONE, 2021, 16 (10):
  • [22] Impact of CD36 gene polymorphism and methylation on soluble CD36 during type 2 diabetes
    Toure, Maimouna
    Sayed, Amira
    Hichami, Aziz
    Sow, Abdou K.
    Ba--Diop, Awa
    Houndjo, Salimata D.
    Kane, Modou O.
    Sarr, Mamadou
    Samb, Abdoulaye
    Khan, Naim Akhtar
    ACTA PHYSIOLOGICA, 2022, 236
  • [23] Associations between Orosensory Perception of Oleic Acid, the Common Single Nucleotide Polymorphisms (rs1761667 and rs1527483) in the CD36 Gene, and 6-n-Propylthiouracil (PROP) Tasting
    Melis, Melania
    Sollai, Giorgia
    Muroni, Patrizia
    Crnjar, Roberto
    Barbarossa, Iole Tomassini
    NUTRIENTS, 2015, 7 (03): : 2068 - 2084
  • [24] The cluster of differentiation 36 (CD36) rs1761667 polymorphism interacts with dietary patterns to affect cardiometabolic risk factors and metabolic syndrome risk in apparently healthy individuals
    Yazdanpanah, Zeinab
    Salehi-Abargouei, Amin
    Mollahosseini, Mehdi
    Sheikhha, Mohammad Hasan
    Mirzaei, Masoud
    Mozaffari-Khosravi, Hassan
    BRITISH JOURNAL OF NUTRITION, 2023, 130 (09) : 1510 - 1520
  • [25] The Role of CD36 in Type 2 Diabetes Mellitus: β-Cell Dysfunction and Beyond
    Moon, Jun Sung
    Karunakaran, Udayakumar
    Suma, Elumalai
    Chung, Seung Min
    Won, Kyu Chang
    DIABETES & METABOLISM JOURNAL, 2020, 44 (02) : 222 - 233
  • [26] CD36 Gene Variants and Their Association with Type 2 Diabetes in an Indian Population
    Gautam, Sunaina
    Pirabu, Loganathan
    Agrawal, Chandra G.
    Banerjee, Monisha
    DIABETES TECHNOLOGY & THERAPEUTICS, 2013, 15 (08) : 680 - 687
  • [27] The origin of circulating CD36 in type 2 diabetes
    M J Alkhatatbeh
    A K Enjeti
    S Acharya
    R F Thorne
    L F Lincz
    Nutrition & Diabetes, 2013, 3 : e59 - e59
  • [28] The origin of circulating CD36 in type 2 diabetes
    Alkhatatbeh, M. J.
    Enjeti, A. K.
    Acharya, S.
    Thorne, R. F.
    Lincz, L. F.
    NUTRITION & DIABETES, 2013, 3 : e59 - e59
  • [29] The effect of type 2 diabetes on CD36 expression and the uptake of oxLDL Diabetes affects CD36 and oxLDL uptake
    Kanoke, Atsushi
    Nishijima, Yasuo
    Ljungberg, Magnus
    Omodaka, Shunsuke
    Yang, Shih Yen
    Wong, Suwai
    Rabiller, Gratianne
    Tominaga, Teiji
    Hsieh, Christine L.
    Liu, Jialing
    EXPERIMENTAL NEUROLOGY, 2020, 334
  • [30] CD36 gene variants is associated with type 2 diabetes mellitus through the interaction of obesity in rural Chinese adults
    Zhang, Dongdong
    Zhang, Ruiyuan
    Liu, Yu
    Sun, Xizhuo
    Yin, Zhaoxia
    Li, Honghui
    Zhao, Yang
    Wang, Bingyuan
    Ren, Yongcheng
    Cheng, Cheng
    Liu, Xuejiao
    Liu, Dechen
    Liu, Feiyan
    Chen, Xu
    Liu, Leilei
    Zhou, Qionggui
    Xiong, Yihan
    Xu, Qihuan
    Liu, Jiali
    Hong, Shihao
    You, Ziyang
    Hu, Dongsheng
    Zhang, Ming
    GENE, 2018, 659 : 155 - 159