Literature DB >> 28096764

Leptin receptor gene polymorphisms and morbid obesity in Mexican patients.

Martin Edgardo Rojano-Rodriguez1, Jose Luis Beristain-Hernandez1, Beatriz Zavaleta-Villa2, Pablo Maravilla3, Mirza Romero-Valdovinos2, Angelica Olivo-Diaz2.   

Abstract

BACKGROUND: Human obesity is due to a complex interaction among environmental, behavioral, developmental and genetic factors, including the interaction of leptin (LEP) and leptin receptor (LEPR). Several LEPR mutations and polymorphisms have been described in patients with early onset severe obesity and hyperphagic eating behavior; however, some contradictory findings have also been reported. In the present study we explored the association of six LEPR gene polymorphisms in patients with morbid obesity.
FINDINGS: Twenty eight patients with morbid obesity and 56 non-obese Mexican Mestizo individuals were included. Typing of rs1137100, rs1137101, rs1805134, Ser492Thr, rs1805094 and rs1805096 LEPR polymorphisms was performed by PCR and allele specific hybridization. The LEPR Ser492Thr polymorphism was monomorphic with the presence of only the Ser492Thr-G allele. Allele C and genotype T/C for rs1805134 polymorphism were associated with susceptibility to morbid obesity (p = 0.02 and p = 0.03, respectively). No association was observed with any haplotype. Linkage disequilibrium (LD) showed that five polymorphisms (rs1137100, rs1137101, rs1805134, rs1805094 and rs1805096) were in absolute (D' = 1) but none in perfect (r2 = 1) LD.
CONCLUSIONS: Our results suggest that rs1805134 polymorphism could be involved in the development of morbid obesity, whilst none of the alleles of the LEPR gene, rs1137100, rs1137101, rs1805094 and rs1805096 were associated as risk factors. However, more studies are necessary to confirm or reject this hypothesis.

Entities:  

Keywords:  Genetic susceptibility; LEPR; Morbid obesity; Single nucleotide polymorphisms

Mesh:

Substances:

Year:  2016        PMID: 28096764      PMCID: PMC5224584          DOI: 10.1186/s41065-016-0006-0

Source DB:  PubMed          Journal:  Hereditas        ISSN: 0018-0661            Impact factor:   3.271


Findings

Human obesity is due to a complex interaction among environmental, behavioral, developmental and genetic factors, the latter contributing to 40–70 % of the obese phenotype [1-3]. Leptin (LEP) is a hormone specifically produced by adipocytes, and its serum concentration is proportional to body fat mass which, in turn, has its amount regulated by the hypothalamic effects of LEP. Intravenous administration of LEP reduces appetite; while its deficiency increases food intake [4]. Its action occurs through the leptin receptor (LEPR), which is encoded by the LEPR gene. LEPR is a single-transmembrane-domain receptor of the cytokine-receptor family with widespread tissue distribution and several alternatively spliced isoforms [5]. Several LEPR mutations have been described in patients with early-onset of severe obesity and hyperphagic eating behavior [6, 7]. In contrast, a protective influence of two polymorphisms (rs1137100 and rs1137101) to higher blood pressure levels in men has been identified, increasing the protection when the carriers have the arginine allele in the two single nucleotide polymorphisms (SNPs) [8]. Thereby, several SNPs have been studied, and their replication in detail across different populations, for their potential association with obesity and its complication, has been stated. However, some contradictory findings have also been reported, adding the fact that there are scarce studies in non-Caucasian populations; therefore, the lack of data on this subject emphasizes the need for studies among and across different ethnic groups [9, 10]. In this work we explored the association of several LEPR gene polymorphisms with morbid obesity compared with non-obese Mexican Mestizo adults. Blood samples were obtained from 28 patients with morbid obesity (mean age 39.6 ± 6.6 years, mean body mass index [BMI] 42.7 ± 6.5 Kg/m2) and 56 non-fat (mean age 32.7 ± 14.4, mean BMI 21.5 ± 1.5 Kg/m2) healthy unrelated volunteers. The sex of patients and controls was 89.7 and 93.3 % females, respectively. All participants were unrelated, with no consanguinity at all, and none couple was included. In addition to obesity, two patients presented hypothyroidism, one patient presented type 2 diabetes mellitus and arterial hypertension and one patient presented fat liver. This work complies with the current health laws of Mexico, and was approved by the Ethics and Research Committees of the Hospital General “Dr. Manuel Gea Gonzalez” with the reference number 04-92-2009. All participants were informed about the objectives of the study and were included only after providing written informed consent. DNA was obtained from 10 ml of EDTA-peripheral blood using proteinase K and phenol/chloroform extraction [11]. The LEPR polymorphisms rs1137100 (Lys109Arg), rs1137101 (Gln223Arg), rs1805134 (Ser343Ser), Ser492Thr and rs1805096 (Pro1019Pro) were detected by PCR-restriction fragment length polymorphism (RFLP) technique, using primers described by Gotoda et al. [12] and Matsuoka et al. [13]. For allele determination of rs8179183 (Lys656Asn) SNP, a dot–blot format and the chemiluminescence method was used, employing the specific probes Lys656Asn-G: 5′-CTATGAAAAAGGAGAAAAATG-3' and Lys656Asn-C: 5'-CTATGAAAAACGAGAAAAATG-3′ ddUTP-Digoxigenin labelled [14, 15]. Allele frequencies (AF) and genotype frequencies (GF) were calculated by direct counting and were compared between patients and controls of each group. Chi-square analysis with Yate’s correction, considering p ≤ 0.05 as the minimum level of significance, was performed; exact Fisher test was used when appropriate. Relative risk was calculated as an odds ratio (OR). Ninety-five percent confidence intervals (95 % CI) were obtained by using Cornfield’s approximation. Haplotypes and linkage disequilibrium (LD) blocks were determined by confidence interval method using Haploview 4.2 software [16]. Table 1 summarizes the significant associations found between alleles, genotypes and haplotypes observed in patients with morbid obesity and in controls. Polymorphism Ser492Thr was monomorphic with the only presence of Ser492Thr-G allele. Allele C and genotype T/C for rs1805134 SNP were associated with susceptibility to morbid obesity (p = 0.02 and p = 0.03, respectively). Regarding the haplotype frequency, no association was observed; however, when shorter combinations were analyzed, haplotype rs1137101G-rs1805134C becomes associated with susceptibility (p = 0.036; OR [95 % CI] 3.4 [1.02–11.14]). Finally, according to LD plots generated in Haploview 4.2 (Fig. 1), the LEPR gene showed that five SNPs (rs1137100, rs1137101, rs1805134, rs1805094 and rs1805096) were in absolute but none in perfect LD.
Table 1

Alleles, genotypes and haplotypes frequencies of LEPR SNPs in a Co-dominant model

Patients (n = 28)Controls (n = 56) p valuea OR (95 % CI)b
Alleles
 rs1137100-C (Lys109Arg)0.450.430.991.08 (0.51–2.30)
 rs1137100-T0.550.570.990.92 (0.43–1.96)
 rs1137101-G (Gln223Arg)0.430.390.791.18 (0.58–2.39)
 rs1137101-A0.570.610.790.85 (0.41–1.72)
rs1805134 - C (Ser343Ser) c 0.17 0.06 0.02 3.41 (1.11–10.49)
 rs1805134-T0.830.940.020.29 (0.09–0.90)
 Ser492Thr-G11
 Ser492Thr-C00
 rs1805094-G (Lys656Asn)0.220.120.132.02 (0.89–4.59)
 rs1805094-C0.780.880.130.49 (0.22–1.13)
 rs1805096-G (Pro1019Pro)0.400.400.930.97 (0.48–1.95)
 rs1805096-A0.600.600.931.03 (0.51–2.07)
Genotypes
 rs1137100 C/C0.050.100.870.66 (0.07–6.01)
 rs1137100 C/T0.790.650.421.85 (0.19–0.59)
 rs1137100 T/T0.160.250.650.64 (0.16–2.57)
 rs1137101 A/A0.320.300.881.09 (0.38–3.16)
 rs1137101 A/G0.500.610.540.65 (0.24–1.76)
 rs1137101 G/G0.180.090.452.28 (0.55–9.43)
rs1805134 T/T d 0.65 0.89 0.03 0.24 (0.07–0.83)
rs1805134 T/C d 0.35 0.11 0.03 4.01 (1.20–13.41)
 Ser492Thr G/G1.001.00
 rs1805094 C/C0.590.770.130.43 (0.17–1.13)
 rs1805094 C/G0.380.220.172.19 (0.83–5.77)
 rs1805094 G/G0.030.010.822.09 (0.13–34.61)
 rs1805096 A/A0.330.330.841.05 (0.37–2.92)
 rs1805096 A/G0.540.540.821.01 (0.38–2.66)
 rs1805096 G/G0.130.130.800.99 (0.23–4.20)
Haplotypese
 CGTGCA0.2660.2710.940.97 (0.47–2.01)
 TATGCG0.1730.2230.470.74 (0.32–1.69)
 TATGCA0.1080.1060.981.01 (0.36–2.88)
 CATGCG0.0780.1170.440.64 (0.20–2.00)
 TATGGA0.0840.0880.920.94 (0.30–3.01)
 TGCGCA0.0730.0580.701.28 (0.36–4.62)
 CATGCA0.0370.0410.910.91 (0.17–4.92)
 TGTGCG0.0370.0290.791.27 (0.22–7.53)
 TATGGG0.0470.0240.392.12 (0.37–12.03)
 TACGGG0.0320.0050.137.97 (0.34–185.4)
 TGTGCA0.0050.0160.560.34 (0.01–15.99)

* p value with Yates correction; bOdds ratio (95 % confidence interval); cStatistical power = 0.632; dStatistical power = 0.679; e LEPR haplotypes: rs1137100-rs1137101-rs1805134-Ser492Thr-rs1805094-rs1805096. Characters in bold and italics indicate statistically significant values

Fig. 1

Linkage disequilibrium (LD) in LEPR polymorphisms between obese and control groups. The pairwise LD plot was created by Haploview 4.2. Within each diamond the pairwise standardized coefficient of LD (D’) or the correlation coefficient (r2) is presented in percentage. Standard color coding was used for the Haploview LD plots with the confidence bounds color scheme, for the D’ plot, numbers are representative LD and the logarithm of the odds are in color: white = strong evidence of recombination; light grey = uninformative; dark grey = strong evidence of LD; for r2 LD plots white (r2 = 0), shades of grey (0 < r2 < 1), black (r2 = 1). A marker pair is said to show moderate or usable LD if |D’| is between 0.33 and 0.5, and strong LD if |D’| is 0.5 or above (i.e. at least half the maximum value)

Alleles, genotypes and haplotypes frequencies of LEPR SNPs in a Co-dominant model * p value with Yates correction; bOdds ratio (95 % confidence interval); cStatistical power = 0.632; dStatistical power = 0.679; e LEPR haplotypes: rs1137100-rs1137101-rs1805134-Ser492Thr-rs1805094-rs1805096. Characters in bold and italics indicate statistically significant values Linkage disequilibrium (LD) in LEPR polymorphisms between obese and control groups. The pairwise LD plot was created by Haploview 4.2. Within each diamond the pairwise standardized coefficient of LD (D’) or the correlation coefficient (r2) is presented in percentage. Standard color coding was used for the Haploview LD plots with the confidence bounds color scheme, for the D’ plot, numbers are representative LD and the logarithm of the odds are in color: white = strong evidence of recombination; light grey = uninformative; dark grey = strong evidence of LD; for r2 LD plots white (r2 = 0), shades of grey (0 < r2 < 1), black (r2 = 1). A marker pair is said to show moderate or usable LD if |D’| is between 0.33 and 0.5, and strong LD if |D’| is 0.5 or above (i.e. at least half the maximum value) There are data pointing to the fact that the Hispanic population exhibits predisposition towards obesity ([17, 18], http://www.who.int/topics/obesity/en/). Therefore, it is important to study the genetic mechanisms that predispose individuals to this pathology. In the present study, of the six SNPs analyzed, only allele C and genotype T/C for rs1805134 (Ser343Ser) SNP was associated with morbid obesity. Interestingly, this polymorphism has been scanty studied in obesity; when association between serum lipids and LEP/LEPR gene polymorphisms in obese Japanese children was studied, the rs1805134 SNPs showed a significant relationship with serum lipid profile, since lower triglyceride levels were obtained in rs1805134 C/C homozygotes [19]. In another study performed in Spanish adults with obesity, no significant case–control differences were found in allele/genotype frequencies for rs1137100, rs1137101, rs1805134 and rs8179183 SNPs [20]. Since rs1805134 SNP addresses a synonymous amino acid change and, according to our results, it was in absolute LD with both flanking SNPs (rs1137100 and rs1805096) in the LEPR gene, it suggests that SNPs have not been affected by recombination events, which is in concordance with the literature. The present observations allow us to speculate about the presence of others polymorphisms, probably located in introns, close to rs1805134 SNP in absolute and perfect LD, which might regulate the expression of exon 9 of LEPR gene, as it has been described for other Eukaryotes genes [21]. Regarding rs1137100, rs1137101 and rs8179183 SNPs, our data are similar with those reported in others Mexican populations; Guizar-Mendoza et al. [22] assessed rs1137101 and rs1805096 LEPR polymorphisms in Mexican adolescents from Guanajuato state, finding no differences in the genotype frequencies of these SNPs between obese and non-obese participants. Furthermore, another study in Mexican children and adolescents from Colima state, analyzed rs1137100, rs1137101 and rs8179183 SNPs, and no statistically significant association with obesity was found in any of the alleles [18]. The main limitation of the present study was the small sample size; nevertheless we were able to demonstrate statistically significant differences with an adequate power between case and control groups. Rosmond [10] has made harsh criticisms on the association with risk factors of case–control genetic studies, highlighting that the current literature linking central obesity to genetic variants has many reports of associations that either cannot be reproduced or corroborated. The present study, as opposed to Rosmond’s criticism, does replicate the findings reported by other researchers in the same ethnic group, supporting the consistency of allele and genotype frequency for some LEPR polymorphisms in a specific group of participants; therefore, we propose that the rs1805134 SNP is interesting and might be involved in morbid obesity; however, more studies are necessary to confirm or reject this hypothesis.
  20 in total

1.  Total and regional fat distribution is strongly influenced by genetic factors in young and elderly twins.

Authors:  Charlotte Malis; Eva L Rasmussen; Pernille Poulsen; Inge Petersen; Kaare Christensen; Henning Beck-Nielsen; Arne Astrup; Allan A Vaag
Journal:  Obes Res       Date:  2005-12

2.  Impact of leptin and leptin-receptor gene polymorphisms on serum lipids in Japanese obese children.

Authors:  T Okada; T Ohzeki; Y Nakagawa; S Sugihara; O Arisaka
Journal:  Acta Paediatr       Date:  2010-02-23       Impact factor: 2.299

3.  Association between leptin receptor (LEPR) and brain-derived neurotrophic factor (BDNF) gene variants and obesity: a case-control study.

Authors:  A Marti; J L Santos; M Gratacos; M J Moreno-Aliaga; A Maiz; J A Martinez; X Estivill
Journal:  Nutr Neurosci       Date:  2009-08       Impact factor: 4.994

4.  Positional cloning of the mouse obese gene and its human homologue.

Authors:  Y Zhang; R Proenca; M Maffei; M Barone; L Leopold; J M Friedman
Journal:  Nature       Date:  1994-12-01       Impact factor: 49.962

5.  Association analysis of the Gln223Arg polymorphism in the human leptin receptor gene, and traits related to obesity in Mexican adolescents.

Authors:  J M Guízar-Mendoza; N Amador-Licona; S E Flores-Martínez; M G López-Cardona; R Ahuatzin-Trémary; J Sánchez-Corona
Journal:  J Hum Hypertens       Date:  2005-05       Impact factor: 3.012

6.  Hypertension in obesity and the leptin receptor gene locus.

Authors:  R Rosmond; Y C Chagnon; G Holm; M Chagnon; L Pérusse; K Lindell; B Carlsson; C Bouchard; P Björntorp
Journal:  J Clin Endocrinol Metab       Date:  2000-09       Impact factor: 5.958

7.  Clinical and molecular genetic spectrum of congenital deficiency of the leptin receptor.

Authors:  I Sadaf Farooqi; Teresia Wangensteen; Stephan Collins; Wendy Kimber; Giuseppe Matarese; Julia M Keogh; Emma Lank; Bill Bottomley; Judith Lopez-Fernandez; Ivan Ferraz-Amaro; Mehul T Dattani; Oya Ercan; Anne Grethe Myhre; Lars Retterstol; Richard Stanhope; Julie A Edge; Sheila McKenzie; Nader Lessan; Maryam Ghodsi; Veronica De Rosa; Francesco Perna; Silvia Fontana; Inês Barroso; Dag E Undlien; Stephen O'Rahilly
Journal:  N Engl J Med       Date:  2007-01-18       Impact factor: 91.245

8.  Human leptin receptor gene in obese Japanese subjects: evidence against either obesity-causing mutations or association of sequence variants with obesity.

Authors:  N Matsuoka; Y Ogawa; K Hosoda; J Matsuda; H Masuzaki; T Miyawaki; N Azuma; K Natsui; H Nishimura; Y Yoshimasa; S Nishi; D B Thompson; K Nakao
Journal:  Diabetologia       Date:  1997-10       Impact factor: 10.122

9.  Leptin receptor gene variation and obesity: lack of association in a white British male population.

Authors:  T Gotoda; B S Manning; A P Goldstone; H Imrie; A L Evans; A D Strosberg; P M McKeigue; J Scott; T J Aitman
Journal:  Hum Mol Genet       Date:  1997-06       Impact factor: 6.150

Review 10.  The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis.

Authors:  Daphne P Guh; Wei Zhang; Nick Bansback; Zubin Amarsi; C Laird Birmingham; Aslam H Anis
Journal:  BMC Public Health       Date:  2009-03-25       Impact factor: 3.295

View more
  7 in total

1.  Super-Obese Patient-Derived iPSC Hypothalamic Neurons Exhibit Obesogenic Signatures and Hormone Responses.

Authors:  Uthra Rajamani; Andrew R Gross; Brooke E Hjelm; Adolfo Sequeira; Marquis P Vawter; Jie Tang; Vineela Gangalapudi; Yizhou Wang; Allen M Andres; Roberta A Gottlieb; Dhruv Sareen
Journal:  Cell Stem Cell       Date:  2018-04-19       Impact factor: 24.633

2.  Association between SNPs in Leptin Pathway Genes and Anthropometric, Biochemical, and Dietary Markers Related to Obesity.

Authors:  Ricardo Omar Cadena-López; Lourdes Vanessa Hernández-Rodríguez; Adriana Aguilar-Galarza; Willebaldo García-Muñoz; Lorenza Haddad-Talancón; Ma de Lourdes Anzures-Cortes; Claudia Velázquez-Sánchez; Karla Lucero Flores-Viveros; Miriam Aracely Anaya-Loyola; Teresa García-Gasca; Víctor Manuel Rodríguez-García; Ulisses Moreno-Celis
Journal:  Genes (Basel)       Date:  2022-05-25       Impact factor: 4.141

3.  Immune Response and Lipid Metabolism Gene Polymorphisms Are Associated with the Risk of Obesity in Middle-Aged and Elderly Patients.

Authors:  Anastasia Ponasenko; Maxim Sinitsky; Varvara Minina; Anna Vesnina; Maria Khutornaya; Alexander Prosekov; Olga Barbarash
Journal:  J Pers Med       Date:  2022-02-08

4.  Role of Leu72Met of GHRL and Gln223Arg of LEPR Variants on Food Intake, Subjective Appetite, and Hunger-Satiety Hormones.

Authors:  Tania Sanchez-Murguia; Nathaly Torres-Castillo; Lisset Magaña-de la Vega; Saraí Citlalic Rodríguez-Reyes; Wendy Campos-Pérez; Erika Martínez-López
Journal:  Nutrients       Date:  2022-05-18       Impact factor: 6.706

5.  Molecular dynamic (MD) studies on Gln233Arg (rs1137101) polymorphism of leptin receptor gene and associated variations in the anthropometric and metabolic profiles of Saudi women.

Authors:  Maha Daghestani; Rituraj Purohit; Mazin Daghestani; Mamoon Daghistani; Arjumand Warsy
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

6.  Risk variants of obesity associated genes demonstrate BMI raising effect in a large cohort.

Authors:  Muhammad Saqlain; Madiha Khalid; Muhammad Fiaz; Sadia Saeed; Asad Mehmood Raja; Muhammad Mobeen Zafar; Tahzeeb Fatima; João Bosco Pesquero; Cristina Maglio; Hadi Valadi; Muhammad Nawaz; Ghazala Kaukab Raja
Journal:  PLoS One       Date:  2022-09-20       Impact factor: 3.752

7.  Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records.

Authors:  Olivia J Veatch; Christopher R Bauer; Brendan T Keenan; Navya S Josyula; Diego R Mazzotti; Kanika Bagai; Beth A Malow; Janet D Robishaw; Allan I Pack; Sarah A Pendergrass
Journal:  BMC Med Genomics       Date:  2020-07-25       Impact factor: 3.622

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.