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Codazzi V, Frontino G, Galimberti L, Giustina A, Petrelli A. Mechanisms and risk factors of metabolic syndrome in children and adolescents. Endocrine 2024; 84:16-28. [PMID: 38133765 PMCID: PMC10987369 DOI: 10.1007/s12020-023-03642-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023]
Abstract
Metabolic syndrome (MetS) is a complex disorder characterized by abdominal obesity, elevated blood pressure, hyperlipidemia, and elevated fasting blood glucose levels. The diagnostic criteria for MetS in adults are well-established, but there is currently no consensus on the definition in children and adolescents. The etiology of MetS is believed to involve a complex interplay between genetic predisposition and environmental factors. While genetic predisposition explains only a small part of MetS pathogenesis, modifiable environmental risk factors play a significant role. Factors such as maternal weight during pregnancy, children's lifestyle, sedentariness, high-fat diet, fructose and branched-chain amino acid consumption, vitamin D deficiency, and sleep disturbances contribute to the development of MetS. Early identification and treatment of MetS in children and adolescents is crucial to prevent the development of chronic diseases later in life. In this review we discuss the latest research on factors contributing to the pathogenesis of MetS in children, focusing on non-modifiable and modifiable risk factors, including genetics, dysbiosis and chronic low-grade inflammation.
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Zhang Y, Li S, Nie H, Wang X, Li X, Wen J, Li M, Song Y. The rs17782313 polymorphism near MC4R gene confers a high risk of obesity and hyperglycemia, while PGC1α rs8192678 polymorphism is weakly correlated with glucometabolic disorder: a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2023; 14:1210455. [PMID: 37621650 PMCID: PMC10445758 DOI: 10.3389/fendo.2023.1210455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023] Open
Abstract
Background The relationships of the rs17782313 polymorphism near melanocortin 4 receptor gene (MC4R) and the rs8192678 polymorphism in peroxisome proliferator-activated receptor gamma coactivator 1 alpha gene (PGC1α) with metabolic abnormalities have been explored in many populations around the world, but the findings were not all consistent and sometimes even a bit contradictory. Methods Electronic databases including Medline, Scopus, Embase, Web of Science, CNKI and Google Scholar were checked for studies that met the inclusion criteria. Data were carefully extracted from eligible studies. Standardized mean differences (SMDs) were calculated by using a random-effects model to examine the differences in the indexes of obesity, glucometabolic disorder and dyslipidemia between the genotypes of the rs17782313 and rs8192678 polymorphisms. Cochran's Q-statistic test and Begg's test were employed to identify heterogeneity among studies and publication bias, respectively. Results Fifty studies (58,716 subjects) and 51 studies (18,660 subjects) were respectively included in the pooled meta-analyses for the rs17782313 and rs8192678 polymorphisms. The C-allele carriers of the rs17782313 polymorphism had a higher average level of body mass index (SMD = 0.21 kg/m2, 95% confidence interval [95% CI] = 0.12 to 0.29 kg/m2, p < 0.001), waist circumference (SMD = 0.14 cm, 95% CI = 0.06 to 0.23 cm, p < 0.001) and blood glucose (SMD = 0.09 mg/dL, 95% CI = 0.02 to 0.16 mg/dL, p = 0.01) than the TT homozygotes. Regarding the rs8192678 polymorphism, no significant associations with the indexes of obesity, glucometabolic disorder and dyslipidemia were detected. However, significant correlations between the rs8192678 polymorphism and multiple glucometabolic indexes were observed in subgroup analyses stratified by sex, age, ethnicity and health status. Conclusion The meta-analysis demonstrates that the C allele of the MC4R rs17782313 polymorphism confers a higher risk of obesity and hyperglycemia, and the PGC1α rs8192678 polymorphism is weakly correlated with glucometabolic disorder. These findings may partly explain the relationships between these variants and diabetes as well as cardiovascular disease. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42022373543.
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Affiliation(s)
- Youjin Zhang
- Central Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Shiyun Li
- Department of Endocrinology, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Haiyan Nie
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Xue Wang
- Central Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Xuanxuan Li
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Jinhui Wen
- Department of Endocrinology, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Mengxi Li
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Yongyan Song
- Central Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
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Marcos-Pasero H, Aguilar-Aguilar E, de la Iglesia R, Espinosa-Salinas I, Molina S, Colmenarejo G, Martínez JA, Ramírez de Molina A, Reglero G, Loria-Kohen V. "GENYAL" Study to Childhood Obesity Prevention: Methodology and Preliminary Results. Front Nutr 2022; 9:777384. [PMID: 35350411 PMCID: PMC8957940 DOI: 10.3389/fnut.2022.777384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 02/04/2022] [Indexed: 11/13/2022] Open
Abstract
Objective This article describes the methodology and summarizes some preliminary results of the GENYAL study aiming to design and validate a predictive model, considering both environmental and genetic factors, that identifies children who would benefit most from actions aimed at reducing the risk of obesity and its complications. Design The study is a cluster randomized clinical trial with 5-year follow-up. The initial evaluation was carried out in 2017. The schools were randomly split into intervention (nutritional education) and control schools. Anthropometric measurements, social and health as well as dietary and physical activity data of schoolchildren and their families are annually collected. A total of 26 single nucleotide polymorphisms (SNPs) were assessed. Machine Learning models are being designed to predict obesity phenotypes after the 5-year follow-up. Settings Six schools in Madrid. Participants A total of 221 schoolchildren (6-8 years old). Results Collected results show that the prevalence of excess weight was 19.0, 25.4, and 32.2% (according to World Health Organization, International Obesity Task Force and Orbegozo Foundation criteria, respectively). Associations between the nutritional state of children with mother BMI [β = 0.21 (0.13-0.3), p (adjusted) <0.001], geographical location of the school [OR = 2.74 (1.24-6.22), p (adjusted) = 0.06], dairy servings per day [OR = 0.48 (0.29-0.75), p (adjusted) = 0.05] and 8 SNPs [rs1260326, rs780094, rs10913469, rs328, rs7647305, rs3101336, rs2568958, rs925946; p (not adjusted) <0.05] were found. Conclusions These baseline data support the evidence that environmental and genetic factors play a role in the development of childhood obesity. After 5-year follow-up, the GENYAL study pretends to validate the predictive model as a new strategy to fight against obesity. Clinical Trial Registration This study has been registered in ClinicalTrials.gov with the identifier NCT03419520, https://clinicaltrials.gov/ct2/show/NCT03419520.
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Affiliation(s)
- Helena Marcos-Pasero
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
- Faculty of Health Sciences, Valencian International University (VIU), Valencia, Spain
| | - Elena Aguilar-Aguilar
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Rocío de la Iglesia
- Departamento de Ciencias Farmaceúticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Isabel Espinosa-Salinas
- Nutritional Genomics and Health Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Susana Molina
- GenyalLab, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Gonzalo Colmenarejo
- Biostatistics and Bioinformatics Unit, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - J. Alfredo Martínez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
- IdisNA, Navarra Institute for Health Research, Pamplona, Spain
- Center of Biomedical Research in Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain
| | - Ana Ramírez de Molina
- Molecular Oncology and Nutritional Genomics of Cancer, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Guillermo Reglero
- Production and Development of Foods for Health, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
- Department of Production and Characterization of Novel Foods, Institute of Food Science Research (CIAL), CEI UAM+CSIC, Madrid, Spain
| | - Viviana Loria-Kohen
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
- Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, Grupo de Investigación VALORNUT-UCM, Madrid, Spain
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Adamska-Patruno E, Bauer W, Bielska D, Fiedorczuk J, Moroz M, Krasowska U, Czajkowski P, Wielogorska M, Maliszewska K, Puckowska S, Szczerbinski L, Lipinska D, Gorska M, Kretowski A. An Association between Diet and MC4R Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters-A Cross Sectional Population-Based Study. Int J Mol Sci 2021; 22:ijms222112044. [PMID: 34769477 PMCID: PMC8584592 DOI: 10.3390/ijms222112044] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 10/27/2021] [Accepted: 11/05/2021] [Indexed: 11/30/2022] Open
Abstract
The melanocortin-4 receptor (MC4R) gene harbours one of the strongest susceptibility loci for obesity and obesity-related metabolic consequences. We analysed whether dietary factors may attenuate the associations between MC4R genotypes and obesity and metabolic parameters. In 819 participants genotyped for common MC4R polymorphisms (rs17782313, rs12970134, rs633265, and rs135034), the anthropometric measurements, body fat content and distribution (visceral and subcutaneous adipose tissue, VAT and SAT, respectively), and blood glucose, insulin, total-, LDL-, HDL-cholesterol, triglycerides concentrations, and daily macronutrient intake were assessed. ANOVA or Kruskal–Wallis tests were used, and multivariate linear regression models were developed. We observed that the CC genotype carriers (rs17782313) presented higher VAT, VAT/SAT ratio, fasting blood glucose and triglyceride concentrations when they were stratified to the upper quantiles of protein intake. An increase in energy derived from proteins was associated with higher BMI (Est. 5.74, R2 = 0.12), body fat content (Est. 8.44, R2 = 0.82), VAT (Est. 32.59, R2 = 0.06), and VAT/SAT ratio (Est. 0.96, R2 = 0.05). The AA genotype carriers (rs12970134) presented higher BMI, body fat, SAT and VAT, fasting blood glucose, triglycerides and total cholesterol concentrations. An increase in energy derived from proteins by AA carriers was associated with higher VAT (Est.19.95, R2 = 0.06) and VAT/SAT ratio (Est. 0.64, R2 = 0.05). Our findings suggest that associations of the common MC4R SNPs with obesity and its metabolic complications may be dependent on the daily dietary intake, which may open new areas for developing personalised diets for preventing and treating obesity and obesity-related comorbidities.
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Affiliation(s)
- Edyta Adamska-Patruno
- Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (W.B.); (U.K.); (P.C.); (S.P.); (L.S.); (A.K.)
- Correspondence:
| | - Witold Bauer
- Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (W.B.); (U.K.); (P.C.); (S.P.); (L.S.); (A.K.)
| | - Dorota Bielska
- Department of Family Medicine, Medical University of Bialystok, Mieszka I 4b, 15-054 Bialystok, Poland;
| | - Joanna Fiedorczuk
- Clinical Research Centre, Medical University of Bialystok Clinical Hospital, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (J.F.); (M.M.)
| | - Monika Moroz
- Clinical Research Centre, Medical University of Bialystok Clinical Hospital, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (J.F.); (M.M.)
| | - Urszula Krasowska
- Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (W.B.); (U.K.); (P.C.); (S.P.); (L.S.); (A.K.)
| | - Przemyslaw Czajkowski
- Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (W.B.); (U.K.); (P.C.); (S.P.); (L.S.); (A.K.)
| | - Marta Wielogorska
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (M.W.); (K.M.); (D.L.); (M.G.)
| | - Katarzyna Maliszewska
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (M.W.); (K.M.); (D.L.); (M.G.)
| | - Sylwia Puckowska
- Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (W.B.); (U.K.); (P.C.); (S.P.); (L.S.); (A.K.)
| | - Lukasz Szczerbinski
- Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (W.B.); (U.K.); (P.C.); (S.P.); (L.S.); (A.K.)
| | - Danuta Lipinska
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (M.W.); (K.M.); (D.L.); (M.G.)
| | - Maria Gorska
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (M.W.); (K.M.); (D.L.); (M.G.)
| | - Adam Kretowski
- Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (W.B.); (U.K.); (P.C.); (S.P.); (L.S.); (A.K.)
- Clinical Research Centre, Medical University of Bialystok Clinical Hospital, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (J.F.); (M.M.)
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; (M.W.); (K.M.); (D.L.); (M.G.)
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Alvarez-Pitti J, Ros-Forés MA, Bayo-Pérez A, Palou M, Lurbe E, Palou A, Picó C. Blood cell transcript levels in 5-year-old children as potential markers of breastfeeding effects in those small for gestational age at birth. J Transl Med 2019; 17:145. [PMID: 31064394 PMCID: PMC6505189 DOI: 10.1186/s12967-019-1896-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 04/25/2019] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Nutrition of the newborn during the early postnatal period seems to be of capital importance and there is clinical evidence showing the protective effect of breastfeeding compared with formula feeding on childhood obesity and its comorbidities. Infants born small for gestation age may be more sensitive to the type of feeding during lactation. Here, we aimed to analyze the impact of birth weight and the type of infant feeding on the expression levels in peripheral blood cells of selected candidate genes involved in energy homeostasis in 5-year-old children, to find out potential early biomarkers of metabolic programming effects during this period of metabolic plasticity. METHODS Forty subjects were recruited at birth and divided in four groups according to birth weight (adequate or small for gestational age) and type of infant feeding (breastfeeding or formula feeding). They were followed from birth to the age of 5 years. RESULTS At 5 years, no significant differences regarding anthropometric parameters were found between groups, and all children had normal biochemical values. Expression levels of UCP2 and MC4R in peripheral blood cells were lower and higher, respectively, in formula feeding children compared with breastfeeding ones (P = 0.002 and P = 0.064, two-way ANOVA). Differences were more marked and significant by Student's t test in small for gestation age children (P < 0.001 and P = 0.017, respectively). Transcript levels of FASN and FTO in peripheral blood cells were also different according to the type of infant feeding, but only in small for gestation age children. CONCLUSIONS Altogether, these results suggest that small for gestation age infants are more sensitive to the type of feeding during lactation, and transcript levels of particular genes in peripheral blood cells, especially the MC4R/UCP2 mRNA ratio, may precisely reflect these effects in the absence of clear differences in phenotypic traits.
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Affiliation(s)
- Julio Alvarez-Pitti
- Pediatric Department, Consorcio Hospital General, University of Valencia, Valencia, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- INCLIVA Biomedical Research Institute, Hospital Clínico. University of Valencia, Valencia, Spain
| | - Maria Amparo Ros-Forés
- Pediatric Department, Consorcio Hospital General, University of Valencia, Valencia, Spain
| | - Ana Bayo-Pérez
- Pediatric Department, Consorcio Hospital General, University of Valencia, Valencia, Spain
| | - Mariona Palou
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics), University of the Balearic Islands (UIB), Palma de Mallorca, Spain
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
| | - Empar Lurbe
- Pediatric Department, Consorcio Hospital General, University of Valencia, Valencia, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- INCLIVA Biomedical Research Institute, Hospital Clínico. University of Valencia, Valencia, Spain
| | - Andreu Palou
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics), University of the Balearic Islands (UIB), Palma de Mallorca, Spain
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
| | - Catalina Picó
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics), University of the Balearic Islands (UIB), Palma de Mallorca, Spain
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
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Boswell N, Byrne R, Davies PSW. Aetiology of eating behaviours: A possible mechanism to understand obesity development in early childhood. Neurosci Biobehav Rev 2018; 95:438-448. [PMID: 30391377 DOI: 10.1016/j.neubiorev.2018.10.020] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 10/24/2018] [Accepted: 10/28/2018] [Indexed: 11/15/2022]
Abstract
Childhood obesity is an issue of public health concern that is understood to emerge due to disequilibrium in energy homeostasis. This commentary explores literature regarding neuro-biological mechanisms of energy homeostasis and the relationship between subjective measures of children's eating behaviours and objective measures of appetite, in order to better understand the aetiology of childhood obesity. Early life influences, such as in utero exposure, breastfeeding, and general disadvantage, appear to have an important influence on neuro-biological mechanisms of appetite and may contribute to inequitable distributions of obesity within the population. Subject measures of eating behaviours appear to capture various aspects of neuro-biologically driven (objective) appetite systems, however, these systems are complex, interdependent and not yet fully understood. Future research focusing attention on early life influences on appetite and eating behaviours is warranted to increase understanding of differences in rates of obesity within the population, to determine opportunities for targeted obesity prevention initiatives, and to explore the potential to measure change in eating behaviours as a marker of appetite and obesity risk.
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Affiliation(s)
- Nikki Boswell
- The University of Queensland, Brisbane QLD, Australia.
| | - Rebecca Byrne
- Queensland University of Technology, Brisbane QLD, Australia.
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Rana S, Rahmani S, Mirza S. MC4R variant rs17782313 and manifestation of obese phenotype in Pakistani females. RSC Adv 2018; 8:16957-16972. [PMID: 35540528 PMCID: PMC9080305 DOI: 10.1039/c8ra00695d] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 04/30/2018] [Indexed: 11/21/2022] Open
Abstract
MC4R represents a key player involved in melanocortin-mediated control of energy balance. Recently identified near MC4R variant rs17782313 (T > C) can serve as a contributing factor for obese phenotype but its association with obesity has never been sought in a sample of the Pakistani population. The role of genetic variants as causal factors varies across populations. Association studies in a specific population can help us to distinguish global from local gene–gene and gene–environment interactions. This is the first study that investigated the association of rs17782313 with obesity and various obesity-linked anthropometric, metabolic, physical, and behavioural traits in Pakistani subjects including 306 OW/OB (overweight and obese) and 300 NW (normal weight) individuals. The comparison of various aforementioned obesity-linked continuous and categorical variables between OW/OB and NW subjects revealed that almost all variables were found significantly aberrant (p < 0.05) in OW/OB subjects as compared to their age- and gender-matched NW controls indicating greater risk of developing various cardio-metabolic disorders. The genotyping of rs17782313 showed significant association of this variant with obesity and obesity-linked anthropometric traits in females suggesting the gender-specific effect of this variant in our population. The minor allele C increased the risk of obesity by 1.55 times (95% CI = 1.1–2.18, p = 0.01) whereas homozygous CC genotype increased the risk by 2.43 times (95% CI = 1.19–4.96, p = 0.015) in females. However, no association of rs17782313 was observed with any of the obesity-linked metabolic, physical, and behavioural traits except random eating timings. In conclusion, the current study significantly contributes to the knowledge of the genetic proneness to obesity in Pakistani females. This could also be helpful for forthcoming meta-analysis studies elucidating which variants are truly associated with the susceptibility to develop an obese phenotype. The current study significantly contributes to the knowledge of the genetic proneness to obesity in Pakistani females and could also be helpful for forthcoming meta-analysis studies.![]()
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Affiliation(s)
- Sobia Rana
- Molecular Biology and Human Genetics Laboratory
- Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD)
- International Center for Chemical and Biological Sciences (ICCBS)
- University of Karachi
- Karachi-75270
| | - Soma Rahmani
- Molecular Biology and Human Genetics Laboratory
- Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD)
- International Center for Chemical and Biological Sciences (ICCBS)
- University of Karachi
- Karachi-75270
| | - Saad Mirza
- Molecular Biology and Human Genetics Laboratory
- Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD)
- International Center for Chemical and Biological Sciences (ICCBS)
- University of Karachi
- Karachi-75270
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