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Abstract
Objective: The polymorphisms/mutations of genes encoding proteins and enzymes involved in lipoprotein metabolism play important roles in the development of diabetic dyslipidemia. The aim of our study was to investigate the effects of LPL (rs320), LIPC (rs2070895), SCARB1 (rs5888), LCAT (rs2292318), CETP (rs708272), ADIPOQ (rs1501299), RETN (rs3745367), PON1 (rs662), and MNSOD (rs4880) gene polymorphisms on lipid metabolism and diabetic dyslipidemia. Methods: This case-control study included 217 patients with diabetic dyslipidemia and 212 healthy age- and gender-matched individuals. Genomic DNA isolation was performed from blood samples, and genotype analysis was performed using melting curve analysis on a LightCycler® 480 Instrument. The chi-square test was used to compare genotype distribution and allele frequencies between the groups. Results: Significant associations were observed between LPL (rs320) (p<0.001), LIPC (rs2070895) (p<0.001), SCARB1 (rs5888) (p<0.001), LCAT (rs2292318) (p<0.001), CETP (rs708272) (p<0.001), ADIPOQ (rs1501299) (p=0.01), RETN (rs3745367) (p<0.001), and MNSOD (rs4880) (p<0.001) polymorphisms and diabetic dyslipidemia. However, no association was observed between PON1 (rs662) polymorphisms and diabetic dyslipidemia (p=0.611). Conclusion: LPL (rs320), LIPC (rs2070895), SCARB1 (rs5888), LCAT (rs2292318), CETP (rs708272), ADIPOQ (rs1501299), RETN (rs3745367), and MNSOD (rs4880) polymorphisms play an important role in basic molecular metabolism in diabetic dyslipidemia. Therefore, these polymorphisms may be used as a predictive marker for diabetic dyslipidemia in high-risk patients. (Anatol J Cardiol 2017; 17: 313-21)
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Saleh R, Zahid ZI, Rahman MA, Jain P, Alam A, Kawaichi M, Reza HM. Prevalence of PPAR-γ2 (rs1801282), RETN (rs3745367) and ADIPOQ (rs2241766) SNP markers in the Bangladeshi type 2 diabetic population. Meta Gene 2016. [DOI: 10.1016/j.mgene.2016.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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Apalasamy YD, Rampal S, Salim A, Moy FM, Su TT, Majid HA, Bulgiba A, Mohamed Z. Polymorphisms of the Resistin Gene and Their Association with Obesity and Resistin Levels in Malaysian Malays. Biochem Genet 2015; 53:120-31. [DOI: 10.1007/s10528-015-9678-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2014] [Accepted: 05/12/2015] [Indexed: 12/12/2022]
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Miyamoto Y, Morisaki H, Kokubo Y, Yamanaka I, Tomoike H, Okayama A, Yoshimasa Y, Morisaki T. Resistin gene variations are associated with the metabolic syndrome in Japanese men. Obes Res Clin Pract 2013; 3:I-II. [PMID: 24345560 DOI: 10.1016/j.orcp.2008.11.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2008] [Revised: 09/16/2008] [Accepted: 11/18/2008] [Indexed: 01/03/2023]
Abstract
SUMMARY OBJECTIVES Metabolic syndrome is defined as a cluster of risk factors for cardiovascular disease and is intimately related to insulin resistance. Resistin, a hormone secreted by adipocytes, may play an important role in communication between adiposity and insulin resistance. We investigated whether variations in the resistin gene associated with metabolic syndrome in a Japanese population. METHOD We analyzed five SNPs, two of which were located in the promoter region (-420C > G, -358G > A), two in intron 2 (+157C > T, +299G > A), and one in the 3'-untranslated region (3'UTR) (+1263G > C) across the resistin gene in 2968 residents from an urban Japanese cohort. The associations of SNPs and haplotypes with metabolic syndrome were analyzed. RESULTS The GAC and CGC haplotypes (comprising -420C > G, -358G > A, and +157C > T) had opposite influences on metabolic syndrome susceptibility in men; the former was associated with an increased risk and the latter with a decreased risk. We also found that the -420G allele was significantly associated with an increased risk of metabolic syndrome and significantly correlated with high diastolic blood pressure, high HOMA-IR values, high serum triglyceride levels, low HDL-cholesterol levels and high serum levels of adiponectin. CONCLUSION We identified a risk-conferring SNP and haplotype of the resistin gene for metabolic syndrome in a Japanese population. Our data suggested that resistin gene is a susceptibility gene for metabolic syndrome in Japanese men.
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Affiliation(s)
- Yoshihiro Miyamoto
- Department of Bioscience, National Cardiovascular Center Research Institute, Osaka, Japan.
| | - Hiroko Morisaki
- Department of Bioscience, National Cardiovascular Center Research Institute, Osaka, Japan
| | - Yoshihiro Kokubo
- Department of Bioscience, National Cardiovascular Center Research Institute, Osaka, Japan
| | - Itaru Yamanaka
- Department of Bioscience, National Cardiovascular Center Research Institute, Osaka, Japan
| | - Hitonobu Tomoike
- Department of Bioscience, National Cardiovascular Center Research Institute, Osaka, Japan
| | - Akira Okayama
- Department of Bioscience, National Cardiovascular Center Research Institute, Osaka, Japan
| | - Yasunao Yoshimasa
- Department of Bioscience, National Cardiovascular Center Research Institute, Osaka, Japan
| | - Takayuki Morisaki
- Department of Bioscience, National Cardiovascular Center Research Institute, Osaka, Japan
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Arráiz N, Escalona C, Prieto C, Bermúdez V, Mújica E, Sánchez MP, Mújica A. Polimorfismo 3’UTR +62G>A del gen RETN codificante de resistina y asociación con componentes del síndrome metabólico. Med Clin (Barc) 2013; 141:325-31. [DOI: 10.1016/j.medcli.2012.07.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2012] [Revised: 07/11/2012] [Accepted: 07/12/2012] [Indexed: 11/24/2022]
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El-Shal AS, Pasha HF, Rashad NM. Association of resistin gene polymorphisms with insulin resistance in Egyptian obese patients. Gene 2012. [PMID: 23178185 DOI: 10.1016/j.gene.2012.09.136] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
BACKGROUND Obesity associated insulin resistance is a major risk factor for type 2 diabetes mellitus. Resistin is recently reported to provide a link between obesity, insulin resistance and type 2 diabetes mellitus. We aimed to investigate the possible associations of resistin gene (RETN) polymorphisms with obesity, and to detect whether these polymorphisms are associated with glucose intolerance and type 2 diabetes mellitus in obese patients. METHODS One hundred and forty-five Egyptian obese patients with or without glucose intolerance and 155 unrelated healthy controls were enrolled in this study. Polymorphisms of RETN +299G>A and RETN -420 C>G gene were detected by polymerase chain reaction - restriction fragment length polymorphism (PCR-RFLP). Serum resistin was measured by ELISA. RESULTS RETN +299 AA and RETN -420 GG genotypes were significantly associated with obesity in Egyptian population. Moreover, the mutant alleles or genotypes of both examined polymorphisms were associated with impaired glucose tolerance and diabetes mellitus compared to normal glucose tolerant obese patients. Furthermore, our results revealed elevated waist/hip ratio, BMI, blood pressure, fasting blood glucose level, HOMA-IR, triglycerides, total cholesterol, resistin level, and decreased HDL cholesterol level in homozygote mutant genotypes carriers of both RETN polymorphisms among obese patients. CONCLUSION Resistin gene polymorphisms may play an important role in pathogenesis and susceptibility to obesity, impaired glucose tolerance, and type 2 diabetes mellitus in Egyptian population.
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Affiliation(s)
- Amal S El-Shal
- Medical Biochemistry Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
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Snyder EE, Walts B, Pérusse L, Chagnon YC, Weisnagel SJ, Rankinen T, Bouchard C. The Human Obesity Gene Map: The 2003 Update. ACTA ACUST UNITED AC 2012; 12:369-439. [PMID: 15044658 DOI: 10.1038/oby.2004.47] [Citation(s) in RCA: 207] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
This is the tenth update of the human obesity gene map, incorporating published results up to the end of October 2003 and continuing the previous format. Evidence from single-gene mutation obesity cases, Mendelian disorders exhibiting obesity as a clinical feature, quantitative trait loci (QTLs) from human genome-wide scans and animal crossbreeding experiments, and association and linkage studies with candidate genes and other markers is reviewed. Transgenic and knockout murine models relevant to obesity are also incorporated (N = 55). As of October 2003, 41 Mendelian syndromes relevant to human obesity have been mapped to a genomic region, and causal genes or strong candidates have been identified for most of these syndromes. QTLs reported from animal models currently number 183. There are 208 human QTLs for obesity phenotypes from genome-wide scans and candidate regions in targeted studies. A total of 35 genomic regions harbor QTLs replicated among two to five studies. Attempts to relate DNA sequence variation in specific genes to obesity phenotypes continue to grow, with 272 studies reporting positive associations with 90 candidate genes. Fifteen such candidate genes are supported by at least five positive studies. The obesity gene map shows putative loci on all chromosomes except Y. Overall, more than 430 genes, markers, and chromosomal regions have been associated or linked with human obesity phenotypes. The electronic version of the map with links to useful sites can be found at http://obesitygene.pbrc.edu.
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Affiliation(s)
- Eric E Snyder
- Human Genomics Laboratory, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana 70808-4124, USA
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Heritability of genetic variants of resistin gene in patients with coronary artery disease: A family-based study. Clin Biochem 2011; 44:618-22. [DOI: 10.1016/j.clinbiochem.2011.02.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2010] [Revised: 01/29/2011] [Accepted: 02/23/2011] [Indexed: 12/20/2022]
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Hivert MF, Manning AK, McAteer JB, Dupuis J, Fox CS, Cupples LA, Meigs JB, Florez JC. Association of variants in RETN with plasma resistin levels and diabetes-related traits in the Framingham Offspring Study. Diabetes 2009; 58:750-6. [PMID: 19074981 PMCID: PMC2646076 DOI: 10.2337/db08-1339] [Citation(s) in RCA: 79] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE The RETN gene encodes the adipokine resistin. Associations of RETN with plasma resistin levels, type 2 diabetes, and related metabolic traits have been inconsistent. Using comprehensive linkage disequilibrium mapping, we genotyped tag single nucleotide polymorphisms (SNPs) in RETN and tested associations with plasma resistin levels, risk of diabetes, and glycemic traits. RESEARCH DESIGN AND METHODS We examined 2,531 Framingham Offspring Study participants for resistin levels, glycemic phenotypes, and incident diabetes over 28 years of follow-up. We genotyped 21 tag SNPs that capture common (minor allele frequency >0.05) or previously reported SNPs at r2 > 0.8 across RETN and its flanking regions. We used sex- and age-adjusted linear mixed-effects models (with/without BMI adjustment) to test additive associations of SNPs with traits, adjusted Cox proportional hazards models accounting for relatedness for incident diabetes, and generated empirical P values (Pe) to control for type 1 error. RESULTS Four tag SNPs (rs1477341, rs4804765, rs1423096, and rs10401670) on the 3' side of RETN were strongly associated with resistin levels (all minor alleles associated with higher levels, Pe<0.05 after multiple testing correction). rs10401670 was also associated with fasting plasma glucose (Pe = 0.02, BMI adjusted) and mean glucose over follow-up (Pe = 0.01; BMI adjusted). No significant association was observed for adiposity traits. On meta-analysis, the previously reported association of SNP -420C/G (rs1862513) with resistin levels remained significant (P = 0.0009) but with high heterogeneity across studies (P < 0.0001). CONCLUSIONS SNPs in the 3' region of RETN are associated with resistin levels, and one of them is also associated with glucose levels, although replication is needed.
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Affiliation(s)
- Marie-France Hivert
- General Medicine Division, Massachusetts General Hospital, Boston, Massachusetts, USA
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Suriyaprom K, Phonrat B, Namjuntra P, Chanchay S, Tungtrongchitr R. The +299(G>A) resistin gene polymorphism and susceptibility to type 2 diabetes in Thais. J Clin Biochem Nutr 2008; 44:104-10. [PMID: 19177195 PMCID: PMC2613493 DOI: 10.3164/jcbn.08-224] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2008] [Accepted: 09/26/2008] [Indexed: 11/22/2022] Open
Abstract
The prevalence of type 2 diabetes has been increased in Thais. Resistin is an adipokine that involve in glucose homeostasis and is a candidate gene for type 2 diabetes. We performed a case-control study in representative sample of 200 Thai volunteers, 105 controls and 95 type 2 diabetes subjects. The purposes of the present study were to investigate the association between two SNPs (single nucleotide polymorphisms) in the resistin gene, at positions +299(G>A) and -420(C>G), and biochemical parameters; to determine whether these polymorphisms are linked to increased risk of type 2 diabetes. At position +299(G>A) of the resistin gene, the resistin concentration among type 2 diabetes subjects was significantly higher in GA/AA genotypes (3.40 ng/ml) than the GG genotype (1.99 ng/ml). Resistin gene polymorphism at position +299(G>A) in type 2 diabetes patients was significantly more frequent than in the control group (p = 0.004). Polymorphism at position -420(C>G) showed no significant relationship with type 2 diabetes (p = 0.095). Logistic regression analysis was shown that +299(G>A) gene polymorphism was increased risk factors for type 2 diabetes (p = 0.013). In conclusion, these finding suggest that resistin gene polymorphism at position +299(G>A) has impact on the increased resistin concentrations and may influence susceptibility to type 2 diabetes in Thais.
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Affiliation(s)
- Kanjana Suriyaprom
- Department of Medical Technology, Faculty of Medical Technology, Rangsit University, Paholyothin Road, Pathumthani 12000, Thailand
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Aruna B, Islam A, Ghosh S, Singh AK, Vijayalakshmi M, Ahmad F, Ehtesham NZ. Biophysical Analyses of Human Resistin: Oligomer Formation Suggests Novel Biological Function. Biochemistry 2008; 47:12457-66. [DOI: 10.1021/bi801266k] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Battu Aruna
- National Institute of Nutrition, Indian Council for Medical Research, Jamai Osmania, Tarnaka, Hyderabad 500007, India, Centre for Interdisciplinary Research in Basic Sciences (CIRBSc), Jamia Millia Islamia, New Delhi 110025, India, and Centre for DNA Fingerprinting and Diagnostics, ECIL Road, Nacharam, Hyderabad 500076, India
| | - Asimul Islam
- National Institute of Nutrition, Indian Council for Medical Research, Jamai Osmania, Tarnaka, Hyderabad 500007, India, Centre for Interdisciplinary Research in Basic Sciences (CIRBSc), Jamia Millia Islamia, New Delhi 110025, India, and Centre for DNA Fingerprinting and Diagnostics, ECIL Road, Nacharam, Hyderabad 500076, India
| | - Sudip Ghosh
- National Institute of Nutrition, Indian Council for Medical Research, Jamai Osmania, Tarnaka, Hyderabad 500007, India, Centre for Interdisciplinary Research in Basic Sciences (CIRBSc), Jamia Millia Islamia, New Delhi 110025, India, and Centre for DNA Fingerprinting and Diagnostics, ECIL Road, Nacharam, Hyderabad 500076, India
| | - Anil K. Singh
- National Institute of Nutrition, Indian Council for Medical Research, Jamai Osmania, Tarnaka, Hyderabad 500007, India, Centre for Interdisciplinary Research in Basic Sciences (CIRBSc), Jamia Millia Islamia, New Delhi 110025, India, and Centre for DNA Fingerprinting and Diagnostics, ECIL Road, Nacharam, Hyderabad 500076, India
| | - Malladi Vijayalakshmi
- National Institute of Nutrition, Indian Council for Medical Research, Jamai Osmania, Tarnaka, Hyderabad 500007, India, Centre for Interdisciplinary Research in Basic Sciences (CIRBSc), Jamia Millia Islamia, New Delhi 110025, India, and Centre for DNA Fingerprinting and Diagnostics, ECIL Road, Nacharam, Hyderabad 500076, India
| | - Faizan Ahmad
- National Institute of Nutrition, Indian Council for Medical Research, Jamai Osmania, Tarnaka, Hyderabad 500007, India, Centre for Interdisciplinary Research in Basic Sciences (CIRBSc), Jamia Millia Islamia, New Delhi 110025, India, and Centre for DNA Fingerprinting and Diagnostics, ECIL Road, Nacharam, Hyderabad 500076, India
| | - Nasreen Z. Ehtesham
- National Institute of Nutrition, Indian Council for Medical Research, Jamai Osmania, Tarnaka, Hyderabad 500007, India, Centre for Interdisciplinary Research in Basic Sciences (CIRBSc), Jamia Millia Islamia, New Delhi 110025, India, and Centre for DNA Fingerprinting and Diagnostics, ECIL Road, Nacharam, Hyderabad 500076, India
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Kimbell JL, Koropatnick TA, Grove JS, Huang YH, Chiang FT, Quertermous T, Chen R, Donlon TA, Rodriguez BL, Curb JD. Absence of evidence for an association between resistin gene variants and insulin resistance in an Asian population with low and high blood pressure. Diabetes Res Clin Pract 2008; 81:231-7. [PMID: 18501464 PMCID: PMC4156032 DOI: 10.1016/j.diabres.2008.04.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2007] [Accepted: 04/01/2008] [Indexed: 11/18/2022]
Abstract
AIMS Although the function of resistin in human biology is unclear, some evidence suggests resistin gene variants influence insulin resistance, and insulin resistance-related hypertension. We searched for associations between common resistin gene variants and factors related to insulin resistance in Asian individuals with high or low blood pressure (BP). METHODS Non-diabetic Chinese or Japanese sibling pairs were included if one had extreme hypertension and the other was either hypertensive or hypotensive. Four common, non-coding single nucleotide polymorphisms (SNPs) were identified by sequencing the resistin gene in 24 hypertensive probands. Generalized estimating equations (GEEs)-based regressions were then performed to test for SNP associations using the entire study population (n=1556). RESULTS Of 72 tests, only one was significant at the 0.05 level; 3.5 significant tests were expected by chance alone. High variability in insulin and triglyceride levels created wide confidence intervals, thus the negative results are not conclusive for these phenotypes. However, the large sample size resulted in narrow confidence intervals for BMI, fasting and 120min post-load glucose, and high and low density lipoprotein cholesterol (LDL-C). CONCLUSION Several factors associated with insulin resistance are not likely influenced by the resistin gene in non-diabetic Asian individuals with high and low blood pressure.
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Affiliation(s)
| | | | - John S. Grove
- John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii
| | | | | | - Thomas Quertermous
- Donald W. Reynolds Cardiovascular Research Center, Stanford University, Stanford, California
| | - Randi Chen
- Pacific Health Research Institute, Honolulu, Hawaii
| | - Timothy A. Donlon
- Pacific Health Research Institute, Honolulu, Hawaii
- Kuakini Medical Center, Honolulu, Hawaii
| | - Beatriz L. Rodriguez
- Pacific Health Research Institute, Honolulu, Hawaii
- John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii
- Kuakini Medical Center, Honolulu, Hawaii
| | - J. David Curb
- Pacific Health Research Institute, Honolulu, Hawaii
- John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii
- Kuakini Medical Center, Honolulu, Hawaii
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Beckers S, Peeters AV, Freitas FD, Mertens IL, Hendrickx JJ, Van Gaal LF, Van Hul W. Analysis of genetic variations in the resistin gene shows no associations with obesity in women. Obesity (Silver Spring) 2008; 16:905-7. [PMID: 18239575 DOI: 10.1038/oby.2007.131] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Resistin is thought to be involved in the development of obesity and insulin resistance. Polymorphisms in the gene encoding resistin could contribute to this link, but different studies have yielded contradictory results. In this study, we investigated whether polymorphisms in resistin are involved in the development of obesity in a Belgian female population. We selected three single-nucleotide polymorphisms (SNPs; rs1862513, rs3745367, and rs3745369) and compared their genotype and allele frequencies between female obese patients (N = 541) and control individuals (N = 235). This analysis showed association with neither obesity for any of the variants nor with the haplotypes of these SNPs. Furthermore, we also investigated whether these variants have an influence on BMI. After Kruskal-Wallis analysis, we found that there was no difference in BMI between the genotypes for all variants. Together, these results suggest that these variants in resistin are not associated with obesity in the female population.
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Affiliation(s)
- Sigri Beckers
- Department of Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
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Duman BS, Cagatay P, Hatemi H, Ozturk M. Association of Resistin Gene 3'-Untranslated Region EX4-44G-->A Polymorphism with Obesity- and Insulin-Related Phenotypes in Turkish Type 2 Diabetes Patients. Rev Diabet Stud 2007; 4:49-55. [PMID: 17565416 PMCID: PMC1892521 DOI: 10.1900/rds.2007.4.49] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Resistin, an adipocyte-secreted hormone, has been associated with obesity, insulin resistance and type 2 diabetes mellitus (T2DM) in some, but not all, rodent models. In humans, the exact function of resistin is unkown. Because 3'-untranslated region (3'-UTR) single nucleotide substitutions (SNPs) have been shown to affect gene expression, we examined the EX4-44G-->A SNP in the 3'-UTR of exon 3 within the resistin gene. The objective of this study was to investigate, for the first time in a Turkish study group, whether the 3'-UTR EX4-44G-->A variation in the resistin gene influences the development of T2DM, obesity and insulin-related phenotypes. We analyzed the genotype frequencies of the EX4-44G-->A polymorphism of the resistin gene in 116 type 2 diabetic and 102 normal subjects. Serum lipids, obesity-related and insulin-related phenotypes were analyzed. No significant difference for genotypic frequencies were observed for the BseRI restriction site in type 2 diabetic patients as compared to controls. Waist-to-hip ratio, BMI, body fat and apoAI levels were found to be affected by resistin genotype. In the control group, BMI (p < 0.01), HIS (p < 0.05) and BF (p < 0.05) levels were found to be elevated, whereas HOMA beta-cell index (p < 0.01) and apo AI (p < 0.05) levels were found to be decreased in GG genotype carriers. In the diabetic group, the GG genotype carriers were found to have higher BMI levels (p < 0.001), waist-to-hip ratio (p < 0.05), body fat (p < 0.01), HOMA (p < 0.001) and fasting insulin (p < 0.05), but lower HbA1c levels in comparison to GC + AA carriers. These data suggest that, in the Turkish study group, the EX4-44G-->A polymorphism of the resistin gene is associated with insulin and obesity-related phenotypes.
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Affiliation(s)
- Belgin Susleyici Duman
- Department of Medical Biology and Genetics, Faculty of Medicine, Istanbul Science University, Istanbul, Turkey
| | - Penbe Cagatay
- Department of Biostatistics, Cerrahpasa Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Husrev Hatemi
- Turkish Diabetes Hospital, Dr. Celal Oker Street. No. 10, Harbiye, Turkey
| | - Melek Ozturk
- Department of Medical Biology, Cerrahpasa Faculty of Medicine, Istanbul University, Istanbul, Turkey
- Address correspondence to: Melek Ozturk, e-mail:
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Nishida N, Tanabe T, Takasu M, Suyama A, Tokunaga K. Further development of multiplex single nucleotide polymorphism typing method, the DigiTag2 assay. Anal Biochem 2007; 364:78-85. [PMID: 17359929 DOI: 10.1016/j.ab.2007.02.005] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2006] [Revised: 02/02/2007] [Accepted: 02/02/2007] [Indexed: 12/01/2022]
Abstract
A number of single nucleotide polymorphisms (SNPs) are considered to be candidate susceptibility or resistance genetic factors for multifactorial disease. Genome-wide searches for disease susceptibility regions followed by high-resolution mapping of primary genes require cost-effective and highly reliable technology. To accomplish successful and low-cost typing for candidate SNPs, new technologies must be developed. We previously reported a multiplex SNP typing method, designated the DigiTag assay, that has the potential to analyze nearly any SNP with high accuracy and reproducibility. However, the DigiTag assay requires multiple washing steps in manipulation and uses genotyping probes modified with biotin for each target SNP. Here we describe the next version of the assay, DigiTag2, which works with simple protocols and uses unmodified genotyping probes. We investigated the feasibility of the DigiTag2 assay by genotyping 96 target SNPs spanning a 610-kb region of human chromosome 5. The DigiTag2 assay is suitable for genotyping an intermediate number of SNPs (tens to hundreds of sites) with a high conversion rate (>90%), high accuracy, and low cost.
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Affiliation(s)
- Nao Nishida
- Department of Human Genetics, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.
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Kusminski CM, McTernan PG, Kumar S. Role of resistin in obesity, insulin resistance and Type II diabetes. Clin Sci (Lond) 2005; 109:243-56. [PMID: 16104844 DOI: 10.1042/cs20050078] [Citation(s) in RCA: 203] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Resistin is a member of a class of cysteine-rich proteins collectively termed resistin-like molecules. Resistin has been implicated in the pathogenesis of obesity-mediated insulin resistance and T2DM (Type II diabetes mellitus), at least in rodent models. In addition, resistin also appears to be a pro-inflammatory cytokine. Taken together, resistin, like many other adipocytokines, may possess a dual role in contributing to disease risk. However, to date there has been considerable controversy surrounding this 12.5 kDa polypeptide in understanding its physiological relevance in both human and rodent systems. Furthermore, this has led some to question whether resistin represents an important pathogenic factor in the aetiology of T2DM and cardiovascular disease. Although researchers still remain divided as to the role of resistin, this review will place available data on resistin in the context of our current knowledge of the pathogenesis of obesity-mediated diabetes, and discuss key controversies and developments.
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Affiliation(s)
- Christine M Kusminski
- Diabetes and Metabolism Research Laboratory, Clinical Sciences Research Institute, UHCW Trust, Clifford Bridge Road, Walsgrave, Coventry CV2 2DX, UK
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Gouni-Berthold I, Giannakidou E, Faust M, Kratzsch J, Berthold HK, Krone W. Resistin gene 3'-untranslated region +62G-->A polymorphism is associated with hypertension but not diabetes mellitus type 2 in a German population. J Intern Med 2005; 258:518-26. [PMID: 16313475 DOI: 10.1111/j.1365-2796.2005.01566.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVES Resistin, a peptide hormone produced by adipocytes, has been associated with diabetes mellitus type 2 (DM-2) in some rodent models. In humans the exact function of resistin remains unknown. Some, but not all studies have found associations between polymorphisms in the resistin gene with DM-2. Recently a 3'-untranslated region +62G-->A polymorphism of the resistin gene has been associated with decreased risk for DM-2 and for hypertension in diabetics in a Chinese population. Purpose of the present study was to examine for the first time in a German Caucasian population the possible association between this polymorphism and DM-2, hypertension, lipoprotein levels, resistin levels as well as atherosclerosis. DESIGN, SETTING AND SUBJECTS A total of 818 subjects participated in the study. The presence of the +62G-->A polymorphism of the resistin gene was investigated using polymerase chain reaction-restriction fragment length polymorphism in 384 subjects with DM-2 [224 men, 160 women, age 63.4 +/- 10.6 years, body mass index (BMI) 28.7 +/- 5.1 kg m(-2)] and in 434 nondiabetic age- and sex-matched control subjects (248 men, 186 women, age 64.4 +/- 6.5 years, BMI 26.5 +/- 3.7 kg m(-2)). RESULTS Thirty-four subjects were found to be carrying the +62G-->A polymorphism in the control and 24 in the diabetic group (allelic frequencies 4% and 3.2% respectively). Subjects with DM-2 were not found to have a different frequency of the genotypes (93.75% and 6.258%, for GG:GA/AA respectively) than the control subjects (92.2% and 7.8% for GG:GA/AA respectively) (OR 0.75, 95% CI 0.44-1.3, P = 0.31). In the total cohort, carriers of the A allele had a higher prevalence of hypertension (OR 1.82, 95% CI 1.03-3.21, P = 0.039). When analysed separately, the control group showed a strong association between the presence of the A allele and hypertension (OR 2.92, 95% CI 1.38-6.15, P = 0.005), whilst no such association could be established in the diabetic group (OR 1.05, 95% CI 0.43-2.54, P = 0.92). Multiple regression analysis confirmed that the presence of the A variant is associated with hypertension in control but not in diabetic subjects, independent of age and BMI. The polymorphism had no significant influence on the presence of atherosclerotic disease, BMI, and on triglyceride, HDL and LDL cholesterol levels, both, in the control and the diabetic groups. There was no difference in the serum resistin levels between the 62G-->A variant carriers and noncarriers. CONCLUSIONS In conclusion, the present data suggest that in a German Caucasian population the +62G-->A polymorphism of the resistin gene is associated with hypertension but not with DM-2.
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Affiliation(s)
- I Gouni-Berthold
- Department of Internal Medicine II, University of Cologne and Center of Molecular Medicine Cologne, Germany.
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Conneely KN, Silander K, Scott LJ, Mohlke KL, Lazaridis KN, Valle TT, Tuomilehto J, Bergman RN, Watanabe RM, Buchanan TA, Collins FS, Boehnke M. Variation in the resistin gene is associated with obesity and insulin-related phenotypes in Finnish subjects. Diabetologia 2004; 47:1782-8. [PMID: 15517149 PMCID: PMC1249496 DOI: 10.1007/s00125-004-1537-x] [Citation(s) in RCA: 57] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2004] [Accepted: 07/22/2004] [Indexed: 10/26/2022]
Abstract
AIMS/HYPOTHESIS Resistin is a peptide hormone produced by adipocytes that is present at high levels in sera of obese mice and may be involved in glucose homeostasis through regulation of insulin sensitivity. Several studies in humans have found associations between polymorphisms in the resistin gene and obesity, insulin sensitivity and blood pressure. An association between variation in the resistin gene and type 2 diabetes has been reported in some, but not all studies. The aim of this study was to analyse variants of the resistin gene for association with type 2 diabetes and related traits in a Finnish sample. METHODS In 781 cases with type 2 diabetes, 187 spouse controls and 222 elderly controls of Finnish origin, we genotyped four previously identified non-coding single-nucleotide polymorphisms (SNPs): -420C>G from the promoter region, +156C>T and +298G>A from intron 2, and +1084G>A from the 3' untranslated region. We then tested whether these SNPs were associated with type 2 diabetes and related traits. RESULTS The SNPs were not significantly associated with type 2 diabetes. However, SNPs -420C>G, +156C>T and +298G>A and the common haplotype for these three markers were associated with increased values of weight-related traits and diastolic blood pressure in cases, lower weight in elderly control subjects, and lower insulin sensitivity and greater acute insulin response in spouses. Furthermore, the +1084G allele was associated with lower HDL cholesterol in both cases and controls, higher systolic blood pressure and waist circumference in cases, and greater acute insulin response in spouse controls. CONCLUSIONS/INTERPRETATION Our results add to growing evidence that resistin is associated with variation in weight, fat distribution and insulin resistance.
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Affiliation(s)
- K. N. Conneely
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, USA
| | - K. Silander
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
- Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
| | - L. J. Scott
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, USA
| | - K. L. Mohlke
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - K. N. Lazaridis
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - T. T. Valle
- Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki, Finland
| | - J. Tuomilehto
- Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - R. N. Bergman
- Department of Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - R. M. Watanabe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - T. A. Buchanan
- Department of Medicine, Division of Endocrinology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - F. S. Collins
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - M. Boehnke
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, USA
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