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Nisar T, Arshad K, Abbas Z, Khan MA, Safdar S, Shaikh RS, Saeed A. Prevalence of GCKR rs1260326 Variant in Subjects with Obesity Associated NAFLD and T2DM: A Case-Control Study in South Punjab, Pakistan. J Obes 2023; 2023:6661858. [PMID: 37829557 PMCID: PMC10567336 DOI: 10.1155/2023/6661858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/02/2023] [Accepted: 09/08/2023] [Indexed: 10/14/2023] Open
Abstract
The glucokinase regulatory protein (GCKR) regulates glycogen metabolism and insulin secretion, and the GCKR rs1260326 is a putative single nucleotide polymorphism (SNP) associated with metabolic disorders including nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM). This study was conducted to investigate the genetic association of the GCKR rs1260326 in NAFLD and T2DM in our population. NAFLD (n = 103), T2DM (n = 100), and control (n = 100) samples were collected and genotyped for GCKR rs1260326 by tetra-arm PCR. The genetic variant GCKR rs1260326 was significantly linked with NAFLD and T2DM, while the GCKR rs1260326 was significantly associated with the progression of obesity only in NAFLD subjects. The frequency of the C allele (mutant) was higher in both NAFLD (f = 0.69) and T2DM (f = 0.66) subjects as compared to healthy controls of NAFLD (0.52) and T2DM (f = 0.32). The frequency of the C allele was also positively linked with the progression of obesity in both diseases. The frequency of the C allele was 0.66, 0.67, and 0.74 in NAFLD normal weight, overweight, and obese subjects, respectively, while the frequency of the C allele was 0.60, 0.60, and 0.74 in T2DM in normal weight, overweight, and obese subjects, respectively. Homozygous mutant (CC) was 53% in both NAFLD and T2DM subjects, while heterozygous mutant (CT) was 15.53% in NAFLD and 22% in T2DM subjects. Wild-type allele (TT) was 31.06% in NAFLD and 25% in T2DM subjects. In conclusion, the GCKR rs1260326 is a highly prevalent SNP in NAFLD and T2DM subjects, which possibly contributed to obesity, insulin resistance, and metabolic disorders in our population.
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Affiliation(s)
- Tayyaba Nisar
- Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan 60800, Pakistan
| | - Kashan Arshad
- Department of Pediatric Endocrinology and Diabetes, Pediatric Unit-1, Allied Hospital, Faisalabad 38800, Pakistan
| | - Zahid Abbas
- Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan 60800, Pakistan
| | - Maira Ali Khan
- Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan 60800, Pakistan
| | | | - Rehan Sadiq Shaikh
- Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan 60800, Pakistan
- Centre for Applied Molecular Biology, University of Punjab, Lahore, Pakistan
| | - Ali Saeed
- Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan 60800, Pakistan
- Department of Pediatric Oncology and Medical Microbiology, University Medical Center Groningen, University of Groningen, Groningen 9713, Netherlands
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Muntean C, Sasaran MO, Crisan A, Banescu C. Effects of PPARG and PPARGC1A gene polymorphisms on obesity markers. Front Public Health 2022; 10:962852. [PMID: 36466447 PMCID: PMC9709282 DOI: 10.3389/fpubh.2022.962852] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 10/24/2022] [Indexed: 11/18/2022] Open
Abstract
Pediatric obesity presents a multifactorial etiology, which involves genetic traits as well, including single nucleotide polymorphisms. The aim of the study is to investigate the contribution of PPARG gene polymorphisms (namely Pro12Ala rs1801282, His447His rs3856806, and Pro115Gln rs1800571) and PPARGC1A rs8192678 SNP on the anthropometric and metabolic parameters in a population of Romanian children. We conducted a cross-sectional study of 295 Caucasian children, divided according to the body mass index (BMI) z-score into the study (obese and overweight) group of 130 children and the control (normoponderal) group of 165 children. Anthropometric parameters were greater in the obese and overweight population as opposed to controls, with significant differences (p < 0.01) found for the weight (2.77 ± 1.54 SD vs. -0.04 ± 1.15 SD), body mass index (BMI) (2.28 ± 0.97 SD vs. -0.18 ± 1.19 SD), mid-upper arm circumference (MUAC) (4.59 ± 2.28 SD vs. 0.28 ± 3.45 SD), tricipital skin-fold (TSF) (3.31 ± 3.09 SD vs. 0.62 ± 7.28 SD) and waist-to-height ratio (WHtR) (0.61 ± 1.51 SD vs. -0.35 ± 1.35 SD) z-scores. Moreover, triglyceride values were higher in the study group (118.70 ± 71.99 SD vs. 77.09 ± 37.39 SD). No significant difference in the allele and genotype distribution of investigates gene polymorphisms was observed between the studied groups (p > 0.05). PPARG (rs1801282, rs3856806, and rs1800571) were not associated with demographic, anthropometric, and laboratory parameters. However, PPARGC1A rs8192678 CC genotype was associated with TSF z-score (p = 0.03), whereas total and LDL cholesterol levels were significantly higher among TT homozygotes (p < 0.01). Our data suggest that PPARG (rs1801282, rs3856806, and rs1800571) and PPARGC1A (rs8192678) gene polymorphisms were not associated with childhood and adolescence overweight and obesity. The present study identified a significant increase in fasting glucose levels, triglyceride, albumin, and ALT levels in children with excess weight, as well as expected important upward variation of anthropometric parameters (BMI, MUAC, TSF z-scores).
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Affiliation(s)
- Carmen Muntean
- Department of Paediatrics I, “George Emil Palade” University of Medicine, Pharmacy, Sciences, and Technology of Târgu Mureş, Târgu Mureş, Romania,*Correspondence: Carmen Muntean
| | - Maria Oana Sasaran
- Department of Paediatrics III, “George Emil Palade” University of Medicine, Pharmacy, Sciences, and Technology of Târgu Mureş, Târgu Mureş, Romania
| | - Adriana Crisan
- Center for Advanced Medical and Pharmaceutical Research, “George Emil Palade” University of Medicine, Pharmacy, Science, and Technology of Târgu Mureş, Târgu Mureş, Romania
| | - Claudia Banescu
- Center for Advanced Medical and Pharmaceutical Research, “George Emil Palade” University of Medicine, Pharmacy, Science, and Technology of Târgu Mureş, Târgu Mureş, Romania
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Mihuta MS, Paul C, Borlea A, Cepeha CM, Velea IP, Mozos I, Stoian D. The Oscillometric Pulse Wave Analysis Is Useful in Evaluating the Arterial Stiffness of Obese Children with Relevant Cardiometabolic Risks. J Clin Med 2022; 11:jcm11175078. [PMID: 36079009 PMCID: PMC9457050 DOI: 10.3390/jcm11175078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/27/2022] [Accepted: 08/28/2022] [Indexed: 11/16/2022] Open
Abstract
Early detection of all complications of childhood obesity is imperative in order to minimize effects. Obesity causes vascular disruptions, including early increased arterial stiffness and high blood pressure. This study’s aim is to assess the reliability of pulse wave analysis (PWA) in obese children and how additional risk factors influence the evaluated parameters. We analyzed 55 children aged 6–18 years old by measuring their pulse wave velocity (PWV), augmentation index (AIx), peripheral blood pressure (SBP, DBP), heart rate, central blood pressure (cSBP, cDBP) and central pulse pressure (cPP). We used the oscillometric IEM Mobil-O-Graph and performed a single-point brachial measurement. The subjects were divided into two groups: obese (n = 30) and normal-weight (n = 25) and were clinically and anamnestically assessed. BMI and waist circumference are significantly correlated to higher values for PWV, SBP, DBP, cSBP, and cDBP. Weight significantly predicts PWV, SBP, DBP and cPP. The risk factors that significantly influence the PWA and BP values are: a cardiometabolically risky pregnancy (higher PWV, AIx, SBP), active and passive smoking (higher PWV, SBP, cSBP, cDBP), sleep deprivation (higher PWV, SBP, cSBP) and sedentariness (higher PWV, AIx, peripheral and central BP). We conclude that obese children with specific additional cardiometabolic risk factors present increased arterial stiffness and higher blood pressure values.
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Affiliation(s)
- Monica Simina Mihuta
- Department of Doctoral Studies, Victor Babes University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Corina Paul
- Department of Pediatrics, Victor Babes University of Medicine and Pharmacy, 300041 Timisoara, Romania
- Correspondence:
| | - Andreea Borlea
- 2nd Department of Internal Medicine, Victor Babeș University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Cristina Mihaela Cepeha
- Department of Doctoral Studies, Victor Babes University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Iulian Puiu Velea
- Department of Pediatrics, Pius Brinzeu Emergency County Hospital, 300723 Timisoara, Romania
| | - Ioana Mozos
- Department of Functional Sciences—Pathophysiology, Center for Translational Research and Systems Medicine, Victor Babeş University of Medicine and Pharmacy, 300173 Timisoara, Romania
| | - Dana Stoian
- 2nd Department of Internal Medicine, Victor Babeș University of Medicine and Pharmacy, 300041 Timisoara, Romania
- Center of Molecular Research in Nephrology and Vascular Disease, Faculty of Medicine, Victor Babes University of Medicine and Pharmacy, 300041 Timisoara, Romania
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Vales-Villamarín C, de Dios O, Pérez-Nadador I, Gavela-Pérez T, Soriano-Guillén L, Garcés C. PPARγ2 Pro12Ala Polymorphism is Associated in Children With Traits Related to Susceptibility to Type 2 Diabetes. Front Pharmacol 2021; 12:763853. [PMID: 34887761 PMCID: PMC8650059 DOI: 10.3389/fphar.2021.763853] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 11/10/2021] [Indexed: 12/16/2022] Open
Abstract
Peroxisome proliferator-activated receptor gamma (PPARγ) is a ligand-activated nuclear receptor that regulates glucose and lipid metabolism. Pharmacological activators of PPARγ are being used as a treatment of obesity related disorders such as dyslipidaemia and type 2 diabetes, but questions remain open regarding the effects of PPARγ on traits related to the development of type 2 diabetes. In our study, we have analyzed the relationship of the common variant Pro12Ala in the human PPARγ2 gene with the presence of obesity and with insulin, HOMA and lipid profile in a representative sample of 6-to 8-year-old children free from the confounding factors associated with adults. We found that Ala12Ala genotype was significantly more frequent in females with obesity than in those without obesity, with Ala12Ala carriers having significantly higher weight and body mass index (BMI), however the association disappeared when adjusting by leptin concentrations. The Ala12Ala genotype was associated with significantly higher HDL-cholesterol and apoA-I levels in males but not in females, independently of BMI. In a recessive model, in females, leptin levels appeared higher in Ala12Ala carriers. Although no apparent differences were observed in any sex when analyzing insulin levels and HOMA among genotypes without adjusting, lower insulin levels and lower HOMA appeared associated with Ala12Ala carriers when adjusting for BMI and leptin levels. In summary, our data showed that leptin seems to be having an effect on the association between the PPARγ2 Pro12Ala and BMI. Besides, after controlling for BMI and leptin, a protective effect of the Ala12Ala variant of the PPARγ2 Pro12Ala polymorphism on insulin sensitivity is evident already in prepubertal children.
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Affiliation(s)
| | - Olaya de Dios
- Lipid Research Laboratory, IIS-Fundación Jiménez Díaz UAM, Madrid, Spain
| | - Iris Pérez-Nadador
- Lipid Research Laboratory, IIS-Fundación Jiménez Díaz UAM, Madrid, Spain
| | | | | | - Carmen Garcés
- Lipid Research Laboratory, IIS-Fundación Jiménez Díaz UAM, Madrid, Spain
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Jiao P, Yuan Y, Zhang M, Sun Y, Wei C, Xie X, Zhang Y, Wang S, Chen Z, Wang X. PRL/microRNA-183/IRS1 Pathway Regulates Milk Fat Metabolism in Cow Mammary Epithelial Cells. Genes (Basel) 2020; 11:E196. [PMID: 32069836 PMCID: PMC7073568 DOI: 10.3390/genes11020196] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 02/05/2020] [Accepted: 02/10/2020] [Indexed: 12/12/2022] Open
Abstract
The aim of the study was to understand the internal relationship between milk quality and lipid metabolism in cow mammary glands. A serial of studies was conducted to assess the molecular mechanism of PRL/microRNA-183/IRS1 (Insulin receptor substrate) pathway, which regulates milk fat metabolism in dairy cows. microRNA-183 (miR-183) was overexpressed and inhibited in cow mammary epithelial cells (CMECs), and its function was detected. The function of miR-183 in inhibiting milk fat metabolism was clarified by triglycerides (TAG), cholesterol and marker genes. There is a CpG island in the 5'-flanking promoter area of miR-183, which may inhibit the expression of miR-183 after methylation. Our results showed that prolactin (PRL) inhibited the expression of miR-183 by methylating the 5' terminal CpG island of miR-183. The upstream regulation of PRL on miR-183 was demonstrated, and construction of the lipid metabolism regulation network of microRNA-183 and target gene IRS1 was performed. These results reveal the molecular mechanism of PRL/miR-183/IRS1 pathway regulating milk fat metabolism in dairy cows, thus providing an experimental basis for the improvement of milk quality.
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Affiliation(s)
- Peixin Jiao
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; (P.J.); (M.Z.); (Y.S.); (C.W.); (X.X.); (Y.Z.)
| | - Yuan Yuan
- School of Nursing, Yangzhou University, Yangzhou 225009, China;
| | - Meimei Zhang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; (P.J.); (M.Z.); (Y.S.); (C.W.); (X.X.); (Y.Z.)
| | - Youran Sun
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; (P.J.); (M.Z.); (Y.S.); (C.W.); (X.X.); (Y.Z.)
| | - Chuanzi Wei
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; (P.J.); (M.Z.); (Y.S.); (C.W.); (X.X.); (Y.Z.)
| | - Xiaolai Xie
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; (P.J.); (M.Z.); (Y.S.); (C.W.); (X.X.); (Y.Z.)
| | - Yonggen Zhang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China; (P.J.); (M.Z.); (Y.S.); (C.W.); (X.X.); (Y.Z.)
| | - Sutian Wang
- State Key Laboratory of Livestock and Poultry Breeding, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China;
| | - Zhi Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
| | - Xiaolong Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
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