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da Fonseca ACP, Assis ISDS, Salum KCR, Palhinha L, Abreu GDM, Zembrzuski VM, Campos Junior M, Nogueira-Neto JF, Cambraia A, Souza Junior MLF, Maya-Monteiro CM, Cabello PH, Bozza PT, Carneiro JRI. Genetic variants in DBC1, SIRT1, UCP2 and ADRB2 as potential biomarkers for severe obesity and metabolic complications. Front Genet 2024; 15:1363417. [PMID: 38841722 PMCID: PMC11151296 DOI: 10.3389/fgene.2024.1363417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 05/01/2024] [Indexed: 06/07/2024] Open
Abstract
Introduction Obesity is a multifactorial disease associated with the development of many comorbidities. This disease is associated with several metabolic alterations; however, it has been shown that some individuals with obesity do not exhibit metabolic syndrome. Adipose tissue neutralizes the detrimental effects of circulating fatty acids, ectopic deposition, and inflammation, among others, through its esterification into neutral lipids that are stored in the adipocyte. However, when the adipocyte is overloaded, i.e., its expansion capacity is exceeded, this protection is lost, resulting in fatty acid toxicity with ectopic fat accumulation in peripheral tissues and inflammation. In this line, this study aimed to investigate whether polymorphisms in genes that control adipose tissue fat storage capacity are potential biomarkers for severe obesity susceptibility and also metabolic complications. Methods This study enrolled 305 individuals with severe obesity (cases, BMI≥35 kg/m2) and 196 individuals with normal weight (controls, 18.5≤BMI≤24.9 kg/m2). Demographic, anthropometric, biochemical, and blood pressure variables were collected from the participants. Plasma levels of leptin, resistin, MCP1, and PAI1 were measured by Bio-Plex 200 Multiplexing Analyzer System. Genomic DNA was extracted and variants in DBC1 (rs17060940), SIRT1 (rs7895833 and rs1467568), UCP2 (rs660339), PPARG (rs1801282) and ADRB2 (rs1042713 and rs1042714) genes were genotyped by PCR allelic discrimination using TaqMan® assays. Results Our findings indicated that SIRT1 rs7895833 polymorphism was a risk factor for severe obesity development in the overdominant model. SIRT1 rs1467568 and UCP2 rs660339 were associated with anthropometric traits. SIRT1 rs1467568 G allele was related to lower medians of body adipose index and hip circumference, while the UCP2 rs660339 AA genotype was associate with increased body mass index. Additionally, DBC1 rs17060940 influenced glycated hemoglobin. Regarding metabolic alterations, 27% of individuals with obesity presented balanced metabolic status in our cohort. Furthermore, SIRT1 rs1467568 AG genotype increased 2.5 times the risk of developing metabolic alterations. No statistically significant results were observed with Peroxisome Proliferator-Activated Receptor Gama and ADRB2 polymorphisms. Discussion/Conclusion This study revealed that SIRT1 rs7895833 and rs1467568 are potential biomarkers for severe obesity susceptibility and the development of unbalanced metabolic status in obesity, respectively. UCP2 rs660339 and DBC1 rs17060940 also showed a significant role in obesity related-traits.
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Affiliation(s)
- Ana Carolina Proença da Fonseca
- Laboratory of Immunopharmacology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- Human Genetics Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- Genetics Laboratory, Grande Rio University/AFYA, Rio de Janeiro, Brazil
- Postgraduate Program in Translational Biomedicine, Grande Rio University/AFYA, Rio de Janeiro, Brazil
| | - Izadora Sthephanie da Silva Assis
- Laboratory of Immunopharmacology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- Human Genetics Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Kaio Cezar Rodrigues Salum
- Laboratory of Immunopharmacology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- Human Genetics Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Lohanna Palhinha
- Laboratory of Immunopharmacology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Gabriella de Medeiros Abreu
- Human Genetics Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Mario Campos Junior
- Human Genetics Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | | | - Amanda Cambraia
- Human Genetics Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | | | | | - Pedro Hernán Cabello
- Human Genetics Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Patrícia Torres Bozza
- Laboratory of Immunopharmacology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - João Regis Ivar Carneiro
- Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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Manco L, Albuquerque D, Aranda B, Rodrigues D, Machado-Rodrigues AM, Padez C. Differential sex-association between PCSK1 polymorphisms and obesity risk in Portuguese children. Am J Hum Biol 2024; 36:e24023. [PMID: 38009939 DOI: 10.1002/ajhb.24023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 11/03/2023] [Accepted: 11/15/2023] [Indexed: 11/29/2023] Open
Abstract
OBJECTIVES The proprotein convertase subtilisin/Kexin type 1 gene (PCSK1) is implicated in hypothalamic appetite control. Several studies have addressed the relationship between PCSK1 polymorphisms and obesity, although conflicting results were observed. We tested the potential association of four PCSK1 variants with the risk of overweight/obesity and related variables in Portuguese children. METHODS This is a case-control study, where four PCSK1 variants, rs6230 (c.-101T>C), rs6232 (p.N221D), rs6235 (p.S690T), and rs3811942 (c.*265T>C), were analyzed in Portuguese children (aged 5-13 years-old). Anthropometric measures were objectively collected and used to provide weight-for-age, height-for-age, and body mass index (BMI) for age. The indices generated were compared to standard reference values of WHO to obtain the corresponding Z-scores. RESULTS Logistic regression, in the dominant model, revealed no significant associations between the four individual PCSK1 variants and the risk of overweight/obesity in the total population. However, stratifying the sample by sex, a marginally significant association was found between the rs6235 minor C-allele and increased overweight/obesity in boys (n = 345) (OR 1.55 [1.01-2.38] p = .044), but not in girls (n = 340) (OR 0.73 [0.46-1.14] p = .169). Consistently, boys with genotype GG presented lower BMI Z-score (0.62) when compared to those with the genotypes GC + CC (1.04). Testing for different effects in males versus females, a significant interaction was found between the rs6235 polymorphism and sex for BMI Z-score (p = .025). CONCLUSIONS Results of this study suggest for a sex-differentiated association between PCSK1 rs6235 and overweight/ obesity in Portuguese children.
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Affiliation(s)
- Licínio Manco
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, Portugal
- Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - David Albuquerque
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, Portugal
| | - Beatriz Aranda
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, Portugal
| | - Daniela Rodrigues
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, Portugal
| | - Aristides M Machado-Rodrigues
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, Portugal
- Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal
| | - Cristina Padez
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, Portugal
- Department of Life Sciences, University of Coimbra, Coimbra, Portugal
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Mazurkiewicz Ł, Czernikiewicz K, Grygiel-Górniak B. Immunogenetic Aspects of Sarcopenic Obesity. Genes (Basel) 2024; 15:206. [PMID: 38397196 PMCID: PMC10888391 DOI: 10.3390/genes15020206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 01/28/2024] [Accepted: 02/01/2024] [Indexed: 02/25/2024] Open
Abstract
Sarcopenic obesity (SO) is a combination of obesity and sarcopenia, with diagnostic criteria defined as impaired skeletal muscle function and altered body composition (e.g., increased fat mass and reduced muscle mass). The mechanism of SO is not yet perfectly understood; however, the pathogenesis includes aging and its complications, chronic inflammation, insulin resistance (IR), and hormonal changes. Genetic background is apparent in the pathogenesis of isolated obesity, which is most often polygenic and is characterized by the additive effect of various genetic factors. The genetic etiology has not been strictly established in SO. Still, many data confirm the existence of pathogenic gene variants, e.g., Fat Mass and Obesity Associated Gene (FTO), beta-2-adrenergic receptor (ADRB2) gene, melanocortin-4 receptor (MC4R) and others with obesity. The literature on the role of these genes is scarce, and their role has not yet been thoroughly established. On the other hand, the involvement of systemic inflammation due to increased adipose tissue in SO plays a significant role in its pathophysiology through the synthesis of various cytokines such as monocyte chemoattractant protein-1 (MCP-1), IL-1Ra, IL-15, adiponectin or CRP. The lack of anti-inflammatory cytokine (e.g., IL-15) can increase SO risk, but further studies are needed to evaluate the exact mechanisms of implications of various cytokines in SO individuals. This manuscript analyses various immunogenetic and non-genetic factors and summarizes the recent findings on immunogenetics potentially impacting SO development.
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Affiliation(s)
| | | | - Bogna Grygiel-Górniak
- Department of Rheumatology, Rehabilitation and Internal Diseases, Poznan University of Medical Sciences, 61-701 Poznan, Poland
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Zhang Y, Chen L, Zhu J, Liu H, Xu L, Wu Y, He C, Song Y. Minor alleles of FTO rs9939609 and rs17817449 polymorphisms confer a higher risk of type 2 diabetes mellitus and dyslipidemia, but not coronary artery disease in a Chinese Han population. Front Endocrinol (Lausanne) 2023; 14:1249070. [PMID: 38161971 PMCID: PMC10754952 DOI: 10.3389/fendo.2023.1249070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/17/2023] [Indexed: 01/03/2024] Open
Abstract
Background Relationships of the polymorphisms in fat mass and obesity-associated gene (FTO) and peroxisome proliferator-activated receptor delta gene (PPARD) with metabolic-related diseases remain to be clarified. Methods One thousand three hundred and eighty-one subjects were enrolled. Metabolic-related diseases including obesity, dyslipidemia, hyperhomocysteinemia, hyperuricemia, hypertension, type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD) were defined based on diagnostic criteria. FTO rs9939609 and rs17817449, and PPARD rs2016520 and rs2267668 polymorphisms were genotyped by using polymerase chain reaction-restricted fragment length polymorphism method. Results Patients with T2DM or dyslipidemia had a higher frequency of AA, AT or AA + AT genotypes as well as A allele of FTO rs9939609 polymorphism than those free of T2DM or dyslipidemia (P ≤ 0.04 for all). Patients with T2DM or dyslipidemia had a higher frequency of GG, GT or GG + GT genotypes as well as G allele of FTO rs17817449 polymorphism than those free of T2DM or dyslipidemia (P ≤ 0.03 for all). Multivariate logistic regression analyses showed that FTO rs9939609 and rs17817449 polymorphisms were independently associated with T2DM as well as dyslipidemia after adjustment for age, sex, smoking and other metabolic diseases. FTO rs9939609 and rs17817449 polymorphisms were not associated with obesity, hyperhomocysteinemia, hyperuricemia, hypertension and CAD. Obese or T2DM carriers of the AA or AT genotype of the FTO rs9939609 polymorphism had a higher prevalence of dyslipidemia compared to non-obese or non-T2DM carriers of the AA or AT genotype (P = 0.03 for both). Among the carriers of GG or GT genotype of the FTO rs17817449 polymorphism, the prevalence of dyslipidemia in obese patients was higher than that in non-obese subjects (P < 0.01). PPARD rs2016520 and rs2267668 polymorphisms were not correlated with any of the metabolic-related diseases in the study population. Conclusion Minor alleles of FTO rs9939609 and rs17817449 polymorphisms confer a higher risk of T2DM and dyslipidemia, and the risk is further increased among obese individuals. PPARD rs2016520 and rs2267668 polymorphisms are not associated with metabolic-related diseases.
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Affiliation(s)
- Youjin Zhang
- Central Laboratory, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Lvlin Chen
- Department of Critical Care Medicine, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Junchen Zhu
- Department of Critical Care Medicine, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Hao Liu
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Luying Xu
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Yang Wu
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Chuan He
- Department of Cardiology, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Yongyan Song
- Central Laboratory, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
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Fajardo CM, Cerda A, Bortolin RH, de Oliveira R, Stefani TIM, Dos Santos MA, Braga AA, Dorea EL, Bernik MMS, Bastos GM, Sampaio MF, Damasceno NRT, Verlengia R, de Oliveira MRM, Hirata MH, Hirata RDC. Influence of polymorphisms in IRS1, IRS2, MC3R, and MC4R on metabolic and inflammatory status and food intake in Brazilian adults: An exploratory pilot study. Nutr Res 2023; 119:21-32. [PMID: 37716291 DOI: 10.1016/j.nutres.2023.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 09/18/2023]
Abstract
Polymorphisms in genes of leptin-melanocortin and insulin pathways have been associated with obesity and type 2 diabetes. We hypothesized that polymorphisms in IRS1, IRS2, MC3R, and MC4R influence metabolic and inflammatory markers and food intake composition in Brazilian subjects. This exploratory pilot study included 358 adult subjects. Clinical, anthropometric, and laboratory data were obtained through interview and access to medical records. The variants IRS1 rs2943634 A˃C, IRS2 rs1865434 C>T, MC3R rs3746619 C>A, and MC4R rs17782313 T>C were analyzed by real-time polymerase chain reaction. Food intake composition was assessed in a group of subjects with obesity (n = 84) before and after a short-term nutritional counseling program (9 weeks). MC4R rs17782313 was associated with increased risk of obesity (P = .034). Multivariate linear regression analysis adjusted by covariates indicated associations of IRS2 rs1865434 with reduced low-density lipoprotein cholesterol and resistin, MC3R rs3746619 with high glycated hemoglobin, and IRS1 rs2943634 and MC4R rs17782313 with increased high-sensitivity C-reactive protein (P < .05). Energy intake and carbohydrate and total fat intakes were reduced after the diet-oriented program (P < .05). Multivariate linear regression analysis showed associations of IRS2 rs1865434 with high basal fiber intake, IRS1 rs2943634 with low postprogram carbohydrate intake, and MC4R rs17782313 with low postprogram total fat and saturated fatty acid intakes (P < .05). Although significant associations did not survive correction for multiple comparisons using the Benjamini-Hochberg method in this exploratory study, polymorphisms in IRS1, IRS2, MC3R, and MC4R influence metabolic and inflammatory status in Brazilian adults. IRS1 and MC4R variants may influence carbohydrate, total fat, and saturated fatty acid intakes in response to a diet-oriented program in subjects with obesity.
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MESH Headings
- Adult
- Humans
- Pilot Projects
- Diabetes Mellitus, Type 2/genetics
- Polymorphism, Single Nucleotide
- Brazil
- Obesity/genetics
- Obesity/metabolism
- Eating
- Carbohydrates
- Fatty Acids
- Receptor, Melanocortin, Type 4/genetics
- Receptor, Melanocortin, Type 4/metabolism
- Insulin Receptor Substrate Proteins/genetics
- Insulin Receptor Substrate Proteins/metabolism
- Receptor, Melanocortin, Type 3/genetics
- Receptor, Melanocortin, Type 3/metabolism
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Affiliation(s)
- Cristina Moreno Fajardo
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Alvaro Cerda
- Department of Basic Sciences, Center of Excellence in Translational Medicine, CEMT-BIOREN, Universidad de La Frontera, Temuco 4810296, Chile
| | - Raul Hernandes Bortolin
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, United States
| | - Raquel de Oliveira
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Tamires Invencioni Moraes Stefani
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Marina Aparecida Dos Santos
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Aécio Assunção Braga
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Egídio Lima Dorea
- Medical Clinic Division, University Hospital, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | | | - Gisele Medeiros Bastos
- Laboratory of Molecular Research in Cardiology, Institute of Cardiology Dante Pazzanese, Sao Paulo 04012-909, Brazil; Hospital Beneficiencia Portuguesa de Sao Paulo, Sao Paulo 01323-001, Brazil
| | - Marcelo Ferraz Sampaio
- Hospital Beneficiencia Portuguesa de Sao Paulo, Sao Paulo 01323-001, Brazil; Medical Clinic Division, Institute of Cardiology Dante Pazzanese, Sao Paulo 04012-909, Brazil
| | | | - Rozangela Verlengia
- Research Laboratory in Human Performance, Methodist University of Piracicaba, Piracicaba 13400-901, Brazil
| | | | - Mario Hiroyuki Hirata
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Rosario Dominguez Crespo Hirata
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil.
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Chermon D, Birk R. Predisposition of the Common MC4R rs17782313 Female Carriers to Elevated Obesity and Interaction with Eating Habits. Genes (Basel) 2023; 14:1996. [PMID: 38002939 PMCID: PMC10671328 DOI: 10.3390/genes14111996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 10/22/2023] [Accepted: 10/25/2023] [Indexed: 11/26/2023] Open
Abstract
The global rise in obesity is attributed to genetic predisposition interaction with an obesogenic environment. Melanocortin 4 receptor (MC4R) rs17782313 polymorphism has been linked to common obesity with varying influence across different populations. MC4R is a crucial player in the leptin proopiomelanocortin pathway that regulates weight hemostasis. We aimed to study MC4R rs17782313 and its interaction with eating behaviors on obesity predisposition in the Israeli population. Adults' (n = 5785, >18 y) genotype and anthropometric and demographic data were analyzed using logistic regression models adjusting for age, sex, T1DM, and T2DM. MC4R rs17782313 significantly predisposes to elevated obesity risk under the recessive and additive models (OR = 1.38, 95% CI: 1.1-1.72, p = 0.005 and OR = 1.1, 95% CI: 1.01-1.2, p = 0.03, respectively) adjusted for confounders (age, sex, T1DM, and T2DM). Stratification by sex demonstrated that carrying the common MC4R rs17782313 is significantly associated with an elevated predisposition to obesity under the recessive model among females only (OR = 1.41, 95% CI: 1.09-1.82, p = 0.01), with an average of 0.85 BMI increment compared with wild type and one risk allele carriers. MC4R rs17782313 significantly interacted with several eating behaviors to enhance the risk of obesity. Our findings demonstrate that MC4R rs17782313 homozygous female carriers are significantly predisposed to obesity amplified by eating behaviors.
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Affiliation(s)
| | - Ruth Birk
- Nutrition Department, Health Sciences Faculty, Ariel University, Ariel 40700, Israel;
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Velazquez-Roman J, Angulo-Zamudio UA, Leon-Sicairos N, Flores-Villaseñor H, Benitez-Baez M, Espinoza-Salomón A, Karam-León A, Villamil-Ramírez H, Canizales-Quinteros S, Macías-Kauffer L, Monroy-Higuera J, Acosta-Smith E, Canizalez-Roman A. Association of PCSK1 and PPARG1 Allelic Variants with Obesity and Metabolic Syndrome in Mexican Adults. Genes (Basel) 2023; 14:1775. [PMID: 37761915 PMCID: PMC10531047 DOI: 10.3390/genes14091775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
Metabolic diseases, including obesity, diabetes, and metabolic syndrome, are among the most important public health challenges worldwide. Metabolic diseases are classified as multifactorial diseases in which genetic variants such as single-nucleotide polymorphisms (SNPs) may play an important role. The present study aimed to identify associations linking allelic variants of the PCSK1, TMEM18, GPX5, ZPR1, ZBTB16, and PPARG1 genes with anthropometric and biochemical traits and metabolic diseases (obesity or metabolic syndrome) in an adult population from northwestern Mexico. METHODS Blood samples were collected from 523 subjects, including 247 with normal weight, 276 with obesity, and 147 with metabolic syndrome. Anthropometric and biochemical characteristics were recorded, and single-nucleotide polymorphisms (SNPs) were genotyped by real-time PCR. RESULTS PCSK1 was significantly (p < 0.05) associated with BMI, weight, and waist-to-hip ratio; TMEM18 was significantly associated with systolic blood pressure and triglyceride levels; GPX5 was significantly associated with HDL cholesterol levels. In addition, PCSK1 was associated with obesity (p = 1.0 × 10-4) and metabolic syndrome (p = 3.0 × 10-3), whereas PPARG1 was associated with obesity (p = 0.044). CONCLUSIONS The associations found in this study, mainly between allelic variants of PCSK1 and metabolic traits, obesity, and metabolic syndrome, may represent a risk for developing metabolic diseases in adult subjects from northwestern Mexico.
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Affiliation(s)
- Jorge Velazquez-Roman
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
| | - Uriel A. Angulo-Zamudio
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
| | - Nidia Leon-Sicairos
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
- Pediatric Hospital of Sinaloa, Constitución 530, Jorge Almada, Culiacan Sinaloa 80200, Mexico
| | - Hector Flores-Villaseñor
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
- The Sinaloa State Public Health Laboratory, Secretariat of Health, Culiacan Sinaloa 80020, Mexico
| | - Miriam Benitez-Baez
- Programa de Doctorado, Posgrado Integral en Biotecnología, FCQB, UAS, Culiacan Sinaloa 80013, Mexico; (M.B.-B.); (A.K.-L.); (J.M.-H.)
| | - Ana Espinoza-Salomón
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
| | - Alejandra Karam-León
- Programa de Doctorado, Posgrado Integral en Biotecnología, FCQB, UAS, Culiacan Sinaloa 80013, Mexico; (M.B.-B.); (A.K.-L.); (J.M.-H.)
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City 04510, Mexico; (H.V.-R.); (S.C.-Q.); (L.M.-K.)
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City 04510, Mexico; (H.V.-R.); (S.C.-Q.); (L.M.-K.)
| | - Luis Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City 04510, Mexico; (H.V.-R.); (S.C.-Q.); (L.M.-K.)
| | - Jose Monroy-Higuera
- Programa de Doctorado, Posgrado Integral en Biotecnología, FCQB, UAS, Culiacan Sinaloa 80013, Mexico; (M.B.-B.); (A.K.-L.); (J.M.-H.)
| | - Erika Acosta-Smith
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
| | - Adrian Canizalez-Roman
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
- The Women’s Hospital, Secretariat of Health, Culiacan Sinaloa 80020, Mexico
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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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9
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Association of common genetic variants with body mass index in Russian population. Eur J Clin Nutr 2023; 77:574-578. [PMID: 36690773 DOI: 10.1038/s41430-023-01265-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 01/09/2023] [Accepted: 01/12/2023] [Indexed: 01/24/2023]
Abstract
BACKGROUND Overweight is the scourge of modern society and a major risk factor for many diseases. For this reason, understanding the genetic component predisposing to high body mass index (BMI) seems to be an important task along with preventive measures aimed at improving eating behavior and increasing physical activity. METHODS We analyzed genetic data of a European cohort (n = 21,080, 47.25% women, East Slavs ancestry >80%) for 5 frequently found genes in the context of association with obesity: IPX3 (rs3751723), MC4R (rs17782313), TMEM18 (rs6548238), PPARG (rs1801282) and FTO (rs9939609). RESULTS Our study revealed significant associations of FTO (rs9939609) (β = 0.37 (kg/m2)/allele, p = <2 × 10-16), MC4R (rs17782313) (β = 0.28 (kg/m2)/allele, p = 5.79 × 10-9), TMEM18 (rs6548238) (β = 0.29 (kg/m2)/allele, p = 2.43 × 10-8) with BMI and risk of obesity. CONCLUSIONS The results confirm the contribution of FTO, M4CR, and TMEM18 genes to the mechanism of body weight regulation and control.
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10
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Wong SK, Ramli FF, Ali A, Ibrahim N‘I. Genetics of Cholesterol-Related Genes in Metabolic Syndrome: A Review of Current Evidence. Biomedicines 2022; 10:biomedicines10123239. [PMID: 36551995 PMCID: PMC9775320 DOI: 10.3390/biomedicines10123239] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/06/2022] [Accepted: 12/08/2022] [Indexed: 12/15/2022] Open
Abstract
Metabolic syndrome (MetS) refers to a cluster of metabolic dysregulations, which include insulin resistance, obesity, atherogenic dyslipidemia and hypertension. The complex pathogenesis of MetS encompasses the interplay between environmental and genetic factors. Environmental factors such as excessive nutrients and sedentary lifestyle are modifiable and could be improved by lifestyle modification. However, genetic susceptibility to MetS, a non-modifiable factor, has attracted the attention of researchers, which could act as the basis for future diagnosis, prognosis, and therapy for MetS. Several cholesterol-related genes associated with each characteristic of MetS have been identified, such as apolipoprotein, lipoprotein lipase (LPL), cholesteryl ester transfer protein (CETP) and adiponectin. This review aims to summarize the genetic information of cholesterol-related genes in MetS, which may potentially serve as biomarkers for early prevention and management of MetS.
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Affiliation(s)
- Sok Kuan Wong
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras 56000, Kuala Lumpur, Malaysia
| | - Fitri Fareez Ramli
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras 56000, Kuala Lumpur, Malaysia
- Clinical Psychopharmacology Research Unit, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
| | - Adli Ali
- Department of Pediatrics, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras 56000, Kuala Lumpur, Malaysia
| | - Nurul ‘Izzah Ibrahim
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras 56000, Kuala Lumpur, Malaysia
- Correspondence: ; Tel.: +60-39145-9545
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11
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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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Duis J, Butler MG. Syndromic and Nonsyndromic Obesity: Underlying Genetic Causes in Humans. Adv Biol (Weinh) 2022; 6:e2101154. [PMID: 35680611 DOI: 10.1002/adbi.202101154] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 03/13/2022] [Indexed: 01/28/2023]
Abstract
Growing evidence supports syndromic and nonsyndromic causes of obesity, including genome-wide association studies, candidate gene analysis, advanced genetic technology using next-generation sequencing (NGS), and identification of copy number variants. Identification of susceptibility genes impacts mechanistic understanding and informs precision medicine. The cause of obesity is heterogeneous with complex biological processes playing a role by controlling peptides involved in regulating appetite and food intake, cellular energy, and metabolism. Evidence for heritability shows genetic components contributing to 40%-70% of obesity. Monogenic causes and obesity-related syndromes are discussed and illustrated as well as biological pathways, gene interactions, and factors contributing to the obesity phenotype. Over 550 obesity-related single genes have been identified and summarized in tabular form with approximately 20% of these genes have been added to obesity gene panels for testing by commercially available laboratories. Early studies show that about 10% of patients with severe obesity using NGS testing have a pathogenic gene variant. Discussion to help characterize gene-gene interactions and disease mechanisms for early diagnosis, treatment, and risk factors contributing to disease is incorporated in this review.
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Affiliation(s)
- Jessica Duis
- Section of Genetics and Inherited Metabolic Disorders, Children's Hospital Colorado, University of Colorado, Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, 80045, USA
| | - Merlin G Butler
- Division of Research and Genetics, Departments of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, 3901 Rainbow Boulevard, MS 4015, Kansas City, KS, 66160, USA
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Genetics of Obesity in Humans: A Clinical Review. Int J Mol Sci 2022; 23:ijms231911005. [PMID: 36232301 PMCID: PMC9569701 DOI: 10.3390/ijms231911005] [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: 07/31/2022] [Revised: 09/09/2022] [Accepted: 09/10/2022] [Indexed: 11/23/2022] Open
Abstract
Obesity is a complex multifactorial disorder with genetic and environmental factors. There is an increase in the worldwide prevalence of obesity in both developed and developing countries. The development of genome-wide association studies (GWAS) and next-generation sequencing (NGS) has increased the discovery of genetic associations and awareness of monogenic and polygenic causes of obesity. The genetics of obesity could be classified into syndromic and non-syndromic obesity. Prader–Willi, fragile X, Bardet–Biedl, Cohen, and Albright Hereditary Osteodystrophy (AHO) syndromes are examples of syndromic obesity, which are associated with developmental delay and early onset obesity. Non-syndromic obesity could be monogenic, polygenic, or chromosomal in origin. Monogenic obesity is caused by variants of single genes while polygenic obesity includes several genes with the involvement of members of gene families. New advances in genetic testing have led to the identification of obesity-related genes. Leptin (LEP), the leptin receptor (LEPR), proopiomelanocortin (POMC), prohormone convertase 1 (PCSK1), the melanocortin 4 receptor (MC4R), single-minded homolog 1 (SIM1), brain-derived neurotrophic factor (BDNF), and the neurotrophic tyrosine kinase receptor type 2 gene (NTRK2) have been reported as causative genes for obesity. NGS is now in use and emerging as a useful tool to search for candidate genes for obesity in clinical settings.
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