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Genetics
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The rs2304256 Polymorphism in TYK2 Gene Is Associated with Protection for Type 1 Diabetes Mellitus
Felipe Mateus Pellenz, Cristine Dieter, Guilherme Coutinho Kullmann Duarte, Luís Henrique Canani, Bianca Marmontel de Souza, Daisy Crispim
Diabetes Metab J. 2021;45(6):899-908.   Published online May 24, 2021
DOI: https://doi.org/10.4093/dmj.2020.0194
  • 5,091 View
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  • 3 Web of Science
  • 3 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
Background
Tyrosine kinase 2 (TYK2) is a candidate gene for type 1 diabetes mellitus (T1DM) since it plays an important role in regulating apoptotic and pro-inflammatory pathways in pancreatic β-cells through modulation of the type I interferon signaling pathway. The rs2304256 single nucleotide polymorphism (SNP) in TYK2 gene has been associated with protection for different autoimmune diseases. However, to date, only two studies have evaluated the association between this SNP and T1DM, with discordant results. This study thus aimed to investigate the association between the TYK2 rs2304256 SNP and T1DM in a Southern Brazilian population.
Methods
This case-control study comprised 478 patients with T1DM and 518 non-diabetic subjects. The rs2304256 (C/A) SNP was genotyped by real-time polymerase chain reaction technique using TaqMan minor groove binder (MGB) probes.
Results
Genotype and allele frequencies of the rs2304256 SNP differed between T1DM patients and non-diabetic subjects (P<0.0001 and P=0.001, respectively). Furthermore, the A allele was associated with protection against T1DM under recessive (odds ratio [OR], 0.482; 95% confidence interval [CI], 0.288 to 0.806) and additive (OR, 0.470; 95% CI, 0.278 to 0.794) inheritance models, adjusting for human leukocyte antigen (HLA) DR/DQ genotypes, gender, and ethnicity.
Conclusion
The A/A genotype of TYK2 rs2304256 SNP is associated with protection against T1DM in a Southern Brazilian population.

Citations

Citations to this article as recorded by  
  • Associations of genetic variants within TYK2 with pulmonary tuberculosis among Chinese population
    Mingwu Zhang, Zhengwei Liu, Yelei Zhu, Kunyang Wu, Lin Zhou, Ying Peng, Junhang Pan, Bin Chen, Xiaomeng Wang, Songhua Chen
    Molecular Genetics & Genomic Medicine.2024;[Epub]     CrossRef
  • Host genetic variants associated with COVID-19 reconsidered in a Slovak cohort
    Maria Skerenova, Michal Cibulka, Zuzana Dankova, Veronika Holubekova, Zuzana Kolkova, Vincent Lucansky, Dana Dvorska, Andrea Kapinova, Michaela Krivosova, Martin Petras, Eva Baranovicova, Ivana Baranova, Elena Novakova, Peter Liptak, Peter Banovcin, Anna
    Advances in Medical Sciences.2024; 69(1): 198.     CrossRef
  • Cross-Domain Text Mining of Pathophysiological Processes Associated with Diabetic Kidney Disease
    Krutika Patidar, Jennifer H. Deng, Cassie S. Mitchell, Ashlee N. Ford Versypt
    International Journal of Molecular Sciences.2024; 25(8): 4503.     CrossRef
Genetics
Article image
Association of Combined TCF7L2 and KCNQ1 Gene Polymorphisms with Diabetic Micro- and Macrovascular Complications in Type 2 Diabetes Mellitus
Rujikorn Rattanatham, Nongnuch Settasatian, Nantarat Komanasin, Upa Kukongviriyapan, Kittisak Sawanyawisuth, Phongsak Intharaphet, Vichai Senthong, Chatri Settasatian
Diabetes Metab J. 2021;45(4):578-593.   Published online March 22, 2021
DOI: https://doi.org/10.4093/dmj.2020.0101
  • 6,119 View
  • 152 Download
  • 8 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Vascular complications are the major morbid consequences of type 2 diabetes mellitus (T2DM). The transcription factor 7-like 2 (TCF7L2), potassium voltage-gated channel subfamily Q member 1 (KCNQ1), and inwardly-rectifying potassium channel, subfamily J, member 11 gene (KCNJ11) are common T2DM susceptibility genes in various populations. However, the associations between polymorphisms in these genes and diabetic complications are controversial. This study aimed to investigate the effects of combined gene-polymorphisms within TCF7L2, KCNQ1, and KCNJ11 on vascular complications in Thai subjects with T2DM.
Methods
We conducted a case-control study comprising 960 T2DM patients and 740 non-diabetes controls. Single nucleotide polymorphisms in TCF7L2, KCNQ1, and KCNJ11 were genotyped and evaluated for their association with diabetic vascular complications.
Results
The gene variants TCF7L2 rs290487-T, KCNQ1 rs2237892-C, and KCNQ1 rs2237897-C were associated with increased risk of T2DM. TCF7L2 rs7903146-C, TCF7L2 rs290487-C, KCNQ1 rs2237892-T, and KCNQ1 rs2237897-T revealed an association with hypertension. The specific combination of risk-alleles that have effects on T2DM and hypertension, TCF7L2 rs7903146-C, KCNQ1 rs2237892-C, and KCNQ1 rs2237897-T, as genetic risk score (GRS), pronounced significant association with coronary artery disease (CAD), cumulative nephropathy and CAD, and cumulative microvascular and macrovascular complications (respective odds ratios [ORs] with 95% confidence interval [95% CI], comparing between GRS 2–3 and GRS 5–6, were 7.31 [2.03 to 26.35], 3.92 [1.75 to 8.76], and 2.33 [1.13 to 4.79]).
Conclusion
This study demonstrated, for the first time, the effect conferred by specific combined genetic variants in TCF7L2 and KCNQ1 on diabetic vascular complications, predominantly with nephropathy and CAD. Such a specific pattern of gene variant combination may implicate in the progression of T2DM and life-threatening vascular complications.

Citations

Citations to this article as recorded by  
  • Genetic Risk Scores Identify People at High Risk of Developing Diabetic Kidney Disease: A Systematic Review
    Aleena Shujaat Ali, Cecilia Pham, Grant Morahan, Elif Ilhan Ekinci
    The Journal of Clinical Endocrinology & Metabolism.2024; 109(5): 1189.     CrossRef
  • Saudi Community-Based Screening Study on Genetic Variants in β-Cell Dysfunction and Its Role in Women with Gestational Diabetes Mellitus
    Amal F. Alshammary, Malak Mohammed Al-Hakeem, Imran Ali Khan
    Genes.2023; 14(4): 924.     CrossRef
  • Association between KCNJ11 E23K polymorphism and the risk of type 2 diabetes mellitus: A global meta-analysis
    Yaxuan Ren, Wenfei Zhu, Jikang Shi, Aiyu Shao, Yi Cheng, Yawen Liu
    Journal of Diabetes and its Complications.2022; 36(5): 108170.     CrossRef
  • Association between carotid atherosclerosis and presence of intracranial atherosclerosis using three-dimensional high-resolution vessel wall magnetic resonance imaging in asymptomatic patients with type 2 diabetes
    Ji Eun Jun, You-Cheol Hwang, Kyu Jeong Ahn, Ho Yeon Chung, Geon-Ho Jahng, Soonchan Park, In-Kyung Jeong, Chang-Woo Ryu
    Diabetes Research and Clinical Practice.2022; 191: 110067.     CrossRef
  • Multiple Single Nucleotide Polymorphism Testing Improves the Prediction of Diabetic Retinopathy Risk with Type 2 Diabetes Mellitus
    Yu-Ting Hsiao, Feng-Chih Shen, Shao-Wen Weng, Pei-Wen Wang, Yung-Jen Chen, Jong-Jer Lee
    Journal of Personalized Medicine.2021; 11(8): 689.     CrossRef
  • Oxidative Stress Genes in Diabetes Mellitus Type 2: Association with Diabetic Kidney Disease
    Athanasios Roumeliotis, Stefanos Roumeliotis, Fotis Tsetsos, Marianthi Georgitsi, Panagiotis I. Georgianos, Aikaterini Stamou, Anna Vasilakou, Kalliopi Kotsa, Xanthippi Tsekmekidou, Peristera Paschou, Stylianos Panagoutsos, Vassilios Liakopoulos, Elena Az
    Oxidative Medicine and Cellular Longevity.2021; 2021: 1.     CrossRef
  • Analysis of the association of polymorphisms of genes markers functions of endothelium and vascular-plate hemostasis with development of diabetic foot syndrome
    N. I. Troitskaya, K. G. Shapovalov, V. A. Mudrov
    Acta Biomedica Scientifica.2021; 6(4): 18.     CrossRef
Genetics
APO A2 -265T/C Polymorphism Is Associated with Increased Inflammatory Responses in Patients with Type 2 Diabetes Mellitus
Fariba Koohdani, Haleh Sadrzadeh-Yeganeh, Mahmoud Djalali, Mohammadreza Eshraghian, Elham Zamani, Gity Sotoudeh, Mohammad-Ali Mansournia, Laleh Keramat
Diabetes Metab J. 2016;40(3):222-229.   Published online June 20, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.3.222
  • 3,336 View
  • 28 Download
  • 12 Web of Science
  • 11 Crossref
AbstractAbstract PDFPubReader   
Background

Apolipoprotein A2 (APO A2) is the second most abundant structural apolipoprotein in high density lipoprotein. Several studies have examined the possible effect of APO A2 on atherosclerosis incidence. Due to the role of inflammation in atherosclerosis, we aimed to determine the relationship between APO A2 -265T/C polymorphism and inflammation as a risk factor in type 2 diabetes mellitus (T2DM) patients.

Methods

In total, 180 T2DM patients, with known APO A2 -265T/C polymorphism, were recruited for this comparative study and were grouped equally based on their genotypes. Dietary intakes, anthropometric parameters, lipid profile, and inflammatory markers (i.e., pentraxin 3 [PTX3], high-sensitivity C-reactive protein [hs-CRP], and interleukin 18) were measured. The data were analyzed using an independent t-test, a chi-square test, and the analysis of covariance.

Results

After adjusting for confounding factors, in the entire study population and in the patients with or without obesity, the patients with the CC genotype showed higher hs-CRP (P=0.001, P=0.008, and P=0.01, respectively) and lower PTX3 (P=0.01, P=0.03, and P=0.04, respectively) in comparison with the T allele carriers. In the patients with the CC genotype, no significant differences were observed in the inflammatory markers between the obese or non-obese patients. However, regarding the T allele carriers, the plasma hs-CRP level was significantly higher in the obese patients compared to the non-obese patients (P=0.01).

Conclusion

In the T2DM patients, the CC genotype could be considered as a risk factor and the T allele as a protective agent against inflammation, which the latter effect might be impaired by obesity. Our results confirmed the anti-atherogenic effect of APO A2, though more studies are required to establish this effect.

Citations

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  • Proteomic Profiling of Extracellular Vesicles Isolated from Plasma and Peritoneal Exudate in Mice Induced by Crotalus scutulatus scutulatus Crude Venom and Its Purified Cysteine-Rich Secretory Protein (Css-CRiSP)
    Armando Reyes, Joseph D. Hatcher, Emelyn Salazar, Jacob Galan, Anton Iliuk, Elda E. Sanchez, Montamas Suntravat
    Toxins.2023; 15(7): 434.     CrossRef
  • ApoA2–256T > C polymorphism interacts with Healthy Eating Index, Dietary Quality Index-International and Dietary Phytochemical Index to affect biochemical markers among type 2 diabetic patients
    Zahra Esmaeily, Gity Sotoudeh, Masoumeh Rafiee, Fariba Koohdani
    British Journal of Nutrition.2022; 127(9): 1343.     CrossRef
  • Interaction between Apo A-II –265T > C polymorphism and dietary total antioxidant capacity on some oxidative stress and inflammatory markers in patients with type 2 diabetes mellitus
    Banafsheh Jafari Azad, Mehdi Yaseri, Elnaz Daneshzad, Fariba Koohdani
    British Journal of Nutrition.2022; 128(1): 13.     CrossRef
  • Deletion allele of Apo B gene is associated with higher inflammation, oxidative stress and dyslipidemia in obese type 2 diabetic patients: an analytical cross-sectional study
    Nasim Mokhtary, Seyedeh Neda Mousavi, Gity Sotoudeh, Mostafa Qorbani, Maryam Dehghani, Fariba Koohdani
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • Interaction between Apo A-II -265T>C polymorphism and dietary total antioxidant capacity on some anthropometric indices and serum lipid profile in patients with type 2 diabetes mellitus
    Banafsheh Jafari Azad, Mehdi Yaseri, Elnaz Daneshzad, Fariba Koohdani
    Journal of Nutritional Science.2021;[Epub]     CrossRef
  • A personalised diet study: The interaction between ApoA2 −265T > C polymorphism and dietary inflammatory index on oxidative and inflammatory markers and lipid profile in patients with type 2 diabetes mellitus: A cross‐sectional study
    Elmira Karimi, Pourya Tondkar, Gity Sotoudeh, Mostafa Qorbani, Masoumeh Rafiee, Fariba Koohdani
    International Journal of Clinical Practice.2021;[Epub]     CrossRef
  • Interaction between the dietary indices and PPAR‐γ Pro12Ala gene variants on cardiovascular risk factors in patients with type 2 diabetes mellitus
    Faezeh Abaj, Gity Sotoudeh, Elmira Karimi, Masoumeh Rafiee, Fariba Koohdani
    International Journal of Clinical Practice.2021;[Epub]     CrossRef
  • A Genetic Score of Predisposition to Low-Grade Inflammation Associated with Obesity May Contribute to Discern Population at Risk for Metabolic Syndrome
    Sebastià Galmés, Margalida Cifre, Andreu Palou, Paula Oliver, Francisca Serra
    Nutrients.2019; 11(2): 298.     CrossRef
  • Study of the relationship between APOA-II −265T>C polymorphism and HDL function in response to weight loss in overweight and obese type 2 diabetic patients
    Masoumeh Moradi, Maryam Mahmoudi, Ahmad Saedisomeolia, Mohammad Ali Mansournia, Roxana Zahirihashemi, Fariba Koohdani
    Clinical Nutrition.2018; 37(3): 965.     CrossRef
  • Apolipoprotein A-II induces acute-phase response associated AA amyloidosis in mice through conformational changes of plasma lipoprotein structure
    Mu Yang, Yingye Liu, Jian Dai, Lin Li, Xin Ding, Zhe Xu, Masayuki Mori, Hiroki Miyahara, Jinko Sawashita, Keiichi Higuchi
    Scientific Reports.2018;[Epub]     CrossRef
  • Prenatal Exposure to Lipopolysaccharide Induces PTX3 Expression and Results in Obesity in Mouse Offspring
    Shugang Qin, Xin Chen, Meng Gao, Jianzhi Zhou, Xiaohui Li
    Inflammation.2017; 40(6): 1847.     CrossRef
Genetics
Non-Association between rs7903146 and rs12255372 Polymorphisms in Transcription Factor 7-Like 2 Gene and Type 2 Diabetes Mellitus in Jahrom City, Iran
Mohammad Pourahmadi, Saiedeh Erfanian, Malihe Moradzadeh, Abdolreza Sotoodeh Jahromi
Diabetes Metab J. 2015;39(6):512-517.   Published online November 13, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.6.512
  • 3,316 View
  • 32 Download
  • 22 Web of Science
  • 19 Crossref
AbstractAbstract PDFPubReader   
Background

Transcription factor 7-like 2 (TCF7L2) is a transcription factor in the Wnt signaling pathway. High levels of TCF7L2 have been reported in most human tissues, including the heart, lung, brain, liver, kidney, placenta, adipose tissues, and pancreatic β-cells. The purpose of this study was to assess the association between TCF7L2 polymorphisms (rs12255372 and rs7903146) and type 2 diabetes mellitus in the city of Jahrom, Iran.

Methods

This case-control study was conducted with 200 patients referred to Diabetes Clinics and 200 healthy subjects in Jahrom City. Biochemical characteristics were first determined. TCF7L2 rs1255372 and rs7903146 polymorphisms were then genotyped using the polymerase chain reaction-restriction fragment length polymorphism method.

Results

T-allele frequencies of both single nucleotide polymorphisms (SNPs) were significantly higher in diabetic patients than in normal glucose-tolerant subjects (rs12255372: 20.3% vs. 14.5%; rs7903146: 28.5% vs. 22.25%). The rs12255372 (G/T) polymorphism analysis showed an odds ratio of 0.473 (95% confidence interval [CI], 0.170 to 1.314; P=0.151) for the TT genotype and 0.646 (95% CI, 0.410 to 1.019; P=0.060) for the TG genotype, compared with the GG genotype. The rs7903146 (C/T) polymorphism odds ratios for TT and TC genotypes were 0.564 (95% CI, 0.280 to 1.135; P=0.109) and 0.751 (95% CI, 0.487 to 1.157; P=0.194) compared with the CC genotype, respectively.

Conclusion

The rs12255372 and rs7903146 SNPs of the TCF7L2 gene were not associated with insulin resistance in the evaluated population.

Citations

Citations to this article as recorded by  
  • Association between Transcription Factor 7-Like 2 Gene Polymorphisms rs7903146 and rs12255372 with the Risk of Diabetic Nephropathy among South Indian Population
    Balaji Ramanathan, Kumaravel Velayutham
    Chronicle of Diabetes Research and Practice.2024; 3(1): 8.     CrossRef
  • Metabolic and genetic risk factors associated with pre-diabetes and type 2 diabetes in Thai healthcare employees: A long-term study from the Siriraj Health (SIH) cohort study
    Pichanun Mongkolsucharitkul, Apinya Surawit, Thamonwan Manosan, Suphawan Ophakas, Sophida Suta, Bonggochpass Pinsawas, Tanyaporn Pongkunakorn, Sureeporn Pumeiam, Winai Ratanasuwan, Mayuree Homsanit, Keerati Charoencholvanich, Yuthana Udomphorn, Bhoom Sukt
    PLOS ONE.2024; 19(6): e0303085.     CrossRef
  • Association between OX40L polymorphism and type 2 diabetes mellitus in Iranians
    Abdolreza Sotoodeh Jahromi, Saiedeh Erfanian, Abazar Roustazadeh
    BMC Medical Genomics.2024;[Epub]     CrossRef
  • Association between TCF7L2 polymorphism and type 2 diabetes mellitus susceptibility: a case–control study among the Bangladeshi population
    Asma Salauddin, Kallyan Chakma, Md. Mahbub Hasan, Farhana Akter, Nowshad Asgar Chowdhury, Sumon Rahman Chowdhury, Adnan Mannan
    Molecular Biology Reports.2023; 50(1): 609.     CrossRef
  • Role of rs7903146 polymorphism and adropin serum level in patients with diabetes mellitus; a case–control study from Isfahan, Iran
    Abbas-Ali Palizban, Abdol-Hamid Yazdani, Hamidreza Jahanbani-Ardakani
    Archives of Physiology and Biochemistry.2022; 128(2): 378.     CrossRef
  • PPARɣ2, aldose reductase, and TCF7L2 gene polymorphisms: relation to diabetes mellitus
    Hadeel Ahmed Shawki, Ekbal M. Abo-hashem, Magdy M. Youssef, Maha Shahin, Rasha Elzehery
    Journal of Diabetes & Metabolic Disorders.2022; 21(1): 241.     CrossRef
  • Case-control study on the association between the GATA2 gene and premature myocardial infarction in the Iranian population
    Peyman Izadpanah, Ehsan Khabbzi, Saiedeh Erfanian, Simin Jafaripour, Mohammad Shojaie
    Herz.2021; 46(1): 71.     CrossRef
  • Polymorphic genetic markers and how they are associated with clinical and metabolic indicators of type 2 diabetes mellitus in the Kazakh population
    Valeriy V. Benberin, Tamara A. Vochshenkova, Gulshara Zh. Abildinova, Anna V. Borovikova, Almagul A. Nagimtayeva
    Journal of Diabetes & Metabolic Disorders.2021; 20(1): 131.     CrossRef
  • The role of transcription factor 7‐like 2 in metabolic disorders
    Zhensheng Zhang, Li Xu, Xiao Xu
    Obesity Reviews.2021;[Epub]     CrossRef
  • Association of transcription factor 7-like 2 (rs7903146) gene polymorphism with diabetic retinopathy
    Hadeel Ahmed Shawki, Ekbal M.Abo-Hashem, Magdy M. Youssef, Maha Shahin, Rasha Elzehery
    Ophthalmic Genetics.2020; 41(5): 420.     CrossRef
  • Association of SLC30A8, CDKAL1, TCF7L2 and HHEX Gene Polymorphisms with Type 2 Diabetes in the Population of North East India
    A. Bhowmick, P. Sarkar, M. P. Baruah, D. Bodhini, V. Radha, V. Mohan, S. Banu
    Cytology and Genetics.2020; 54(2): 165.     CrossRef
  • Transcription Factor 7-Like-2 (TCF7L2) rs7903146 (C/T) Polymorphism in Patients with Type 2 Diabetes Mellitus
    Ahmed Mohamed Bahaaeldin, Arig Aly Seif, Amira Ibrahim Hamed, Walaa Ahmed Yousry Kabiel
    Dubai Diabetes and Endocrinology Journal.2020; 26(3): 112.     CrossRef
  • The antileukemic effects of saffron (Crocus sativus L.) and its related molecular targets: A mini review
    Maliheh Moradzadeh, Mohamad Reza Kalani, Amir Avan
    Journal of Cellular Biochemistry.2019; 120(4): 4732.     CrossRef
  • Association of transcription factor 7-like 2 (TCF7L2) gene polymorphism with type 2 diabetes mellitus in Chinese Korean ethnicity population
    Kui-Chen Zhou, Hong-Wei Liu, Chen Wang, Yan-Jun Fu, Feng Jin
    Medicine.2019; 98(5): e14288.     CrossRef
  • Targeted deletion of Tcf7l2 in adipocytes promotes adipocyte hypertrophy and impaired glucose metabolism
    Gisela Geoghegan, Judith Simcox, Marcus M. Seldin, Timothy J. Parnell, Chris Stubben, Steven Just, Lori Begaye, Aldons J. Lusis, Claudio J. Villanueva
    Molecular Metabolism.2019; 24: 44.     CrossRef
  • Association study of the rs46522 polymorphism in UBE2Z and rs7903146 polymorphism in TCF7L2 gene with T2DM in Arab population of Khuzestan province: case-control study
    Sana Shafidelpour, Ali Mohammad Foroughmand, Merhrnoosh Zakerkish, Mahdi Pourmahdi Borujeni
    Medical Journal of Tabriz University of Medical Sciences and Health Services.2019; 41(6): 59.     CrossRef
  • Transcription factor 7-like 2 single nucleotide polymorphisms are associated with lipid profile in the Balinese
    Sukma Oktavianthi, Made R. Saraswati, Ketut Suastika, Pande Dwipayana, Asri Sulfianti, Rahma F. Hayati, Hidayat Trimarsanto, Clarissa A. Febinia, Herawati Sudoyo, Safarina G. Malik
    Molecular Biology Reports.2018; 45(5): 1135.     CrossRef
  • Association of TCF7L2 mutation and atypical diabetes in a Uruguayan population
    Carolina Beloso, Jorge Souto, Matias Fábregat, Gerardo Romanelli, Gerardo Javiel, Adriana Mimbacas
    World Journal of Diabetes.2018; 9(9): 157.     CrossRef
  • Associations of TCF7L2 gene polymorphisms with the risk of diabetic nephropathy
    Yan Zhuang, Fukun Niu, Defeng Liu, Juanjuan Sun, Xiaowei Zhang, Jian Zhang, Shuxia Guo
    Medicine.2018; 97(40): e8388.     CrossRef
Review
Resistin in Rodents and Humans
Hyeong Kyu Park, Rexford S. Ahima
Diabetes Metab J. 2013;37(6):404-414.   Published online December 12, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.6.404
  • 6,040 View
  • 58 Download
  • 122 Crossref
AbstractAbstract PDFPubReader   

Obesity is characterized by excess accumulation of lipids in adipose tissue and other organs, and chronic inflammation associated with insulin resistance and an increased risk of type 2 diabetes. Obesity, type 2 diabetes, and cardiovascular diseases are major health concerns. Resistin was first discovered as an adipose-secreted hormone (adipokine) linked to obesity and insulin resistance in rodents. Adipocyte-derived resistin is increased in obese rodents and strongly related to insulin resistance. However, in contrast to rodents, resistin is expressed and secreted from macrophages in humans and is increased in inflammatory conditions. Some studies have also suggested an association between increased resistin levels and insulin resistance, diabetes and cardiovascular disease. Genetic studies have provided additional evidence for a role of resistin in insulin resistance and inflammation. Resistin appears to mediate the pathogenesis of atherosclerosis by promoting endothelial dysfunction, vascular smooth muscle cell proliferation, arterial inflammation, and formation of foam cells. Indeed, resistin is predictive of atherosclerosis and poor clinical outcomes in patients with coronary artery disease and ischemic stroke. There is also growing evidence that elevated resistin is associated with the development of heart failure. This review will focus on the biology of resistin in rodents and humans, and evidence linking resistin with type 2 diabetes, atherosclerosis, and cardiovascular disease.

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  • Resistin – A Plausible Therapeutic Target in the Pathogenesis of Psoriasis
    Manupati Srikanth, Mahaboobkhan Rasool
    Immunological Investigations.2024; 53(2): 115.     CrossRef
  • MHO or MUO? White adipose tissue remodeling
    Jing Yi Zhao, Li Juan Zhou, Kai Le Ma, Rui Hao, Min Li
    Obesity Reviews.2024;[Epub]     CrossRef
  • Resistin in endocrine pancreas of sheep: Presence and expression related to different diets
    Margherita Maranesi, Elisa Palmioli, Cecilia Dall'Aglio, Daniele Marini, Polina Anipchenko, Elena De Felice, Paola Scocco, Francesca Mercati
    General and Comparative Endocrinology.2024; 348: 114452.     CrossRef
  • Adipocytokines levels as potential biomarkers for discriminating patients with a diagnosis of depressive disorder from healthy controls
    Elżbieta Małujło-Balcerska, Tadeusz Pietras
    Journal of Psychiatric Research.2024; 171: 163.     CrossRef
  • Adipokines in atopic dermatitis: the link between obesity and atopic dermatitis
    Shiyun Zhang, Bingjie Zhang, Yuehua Liu, Li Li
    Lipids in Health and Disease.2024;[Epub]     CrossRef
  • The Role of Adipokines in the Control of Pituitary Functions
    Barbara Kaminska, Beata Kurowicka, Marta Kiezun, Kamil Dobrzyn, Katarzyna Kisielewska, Marlena Gudelska, Grzegorz Kopij, Karolina Szymanska, Barbara Zarzecka, Oguzhan Koker, Ewa Zaobidna, Nina Smolinska, Tadeusz Kaminski
    Animals.2024; 14(2): 353.     CrossRef
  • Adipokine imbalance and its role in the pathogenesis of novel coronavirus infection
    I. D. Bespalova, U. M. Mitrichenko, V. V. Kalyuzhin, E. S. Koroleva, Yu. I. Koshchavtseva, D. S. Romanov, D. E. Pershina
    Bulletin of Siberian Medicine.2024; 22(4): 164.     CrossRef
  • Association of adipokine levels with obesity in periodontal health and disease: A systematic review with meta‐analysis and meta‐regression
    Eswar Kandaswamy, Chun‐Teh Lee, Soumya Bardvalli Gururaj, Sachin Shivanaikar, Vinayak M. Joshi
    Journal of Periodontal Research.2024; 59(4): 623.     CrossRef
  • Role of epicardial adipose tissue in the pathogenesis of chronic inflammation in heart failure with preserved ejection fraction
    O. N. Dzhioeva, Yu. S. Timofeev, V. A. Metelskaya, A. A. Bogdanova, T. Yu. Vedenikin, O. M. Drapkina
    Cardiovascular Therapy and Prevention.2024; 23(3): 3928.     CrossRef
  • Association of maternal body composition and diet on breast milk hormones and neonatal growth during the first month of lactation
    David Ramiro-Cortijo, Pratibha Singh, Gloria Herranz Carrillo, Andrea Gila-Díaz, María A. Martín-Cabrejas, Camilia R. Martin, Silvia M. Arribas
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Upregulation of peripheral blood mononuclear cells resistin gene expression in severe obstructive sleep apnea and obstructive sleep apnea with coexisting type 2 diabetes mellitus
    Branislava Rajkov, Marija Zdravković, Ana Ninić, Milica Brajković, Slobodan Klašnja, Vera Gardijan, Lidija Memon, Jelena Munjas, Marija Mihajlović, Vesna Spasojević- Kalimanovska, Vojislav Radosavljević, Miron Sopić
    Sleep and Breathing.2023; 27(5): 2031.     CrossRef
  • Fat-to-heart crosstalk in health and disease
    Fleur Lodewijks, Timothy A. McKinsey, Emma L. Robinson
    Frontiers in Genetics.2023;[Epub]     CrossRef
  • Adipokines as Diagnostic and Prognostic Markers for the Severity of COVID-19
    Thomas Grewal, Christa Buechler
    Biomedicines.2023; 11(5): 1302.     CrossRef
  • Role of adipokines in sarcopenia
    Wenhao Lu, Wenjie Feng, Jieyu Lai, Dongliang Yuan, Wenfeng Xiao, Yusheng Li
    Chinese Medical Journal.2023; 136(15): 1794.     CrossRef
  • Resistin, TNF-α, and microRNA 124-3p expressions in peripheral blood mononuclear cells are associated with diabetic nephropathy
    Amin Monjezi, Azam Khedri, Mehrnoosh Zakerkish, Ghorban Mohammadzadeh
    International Journal of Diabetes in Developing Countries.2022; 42(1): 62.     CrossRef
  • Resistin in Urine and Breast Milk: Relation to Type of Feeding and Anthropometry at 1-Month
    Irena Santosa, Hiromichi Shoji, Kentaro Awata, Yoshiteru Arai, Hiroki Suganuma, Toshiaki Shimizu
    Pediatric Reports.2022; 14(1): 86.     CrossRef
  • High Serum Levels of Resistin is Associated With Acute Cerebral Infarction
    Kee Ook Lee, Kyung-Yul Lee, Cheol-Young Lee, Ji Hoon Kim, Jaeku Kang, Hoi Young Lee, Sang-Jun Na, Seung-Hun Oh, Ji Hoe Heo
    The Neurologist.2022; 27(2): 41.     CrossRef
  • Resistin production does not affect outcomes in a mouse model of acute surgical sepsis
    Anthony S. Bonavia, Zissis C. Chroneos, Victor Ruiz-Velasco, Charles H. Lang, Partha Mukhopadhyay
    PLOS ONE.2022; 17(3): e0265241.     CrossRef
  • Single-nucleotide polymorphisms as important risk factors of diabetes among Middle East population
    Iman Akhlaghipour, Amir Reza Bina, Mohammad Reza Mogharrabi, Ali Fanoodi, Amir Reza Ebrahimian, Soroush Khojasteh Kaffash, Atefeh Babazadeh Baghan, Mohammad Erfan Khorashadizadeh, Negin Taghehchian, Meysam Moghbeli
    Human Genomics.2022;[Epub]     CrossRef
  • Synergistic Effects of Weighted Genetic Risk Scores and Resistin and sST2 Levels on the Prognostication of Long-Term Outcomes in Patients with Coronary Artery Disease
    Hsin-Hua Chou, Lung-An Hsu, Jyh-Ming Jimmy Juang, Fu-Tien Chiang, Ming-Sheng Teng, Semon Wu, Yu-Lin Ko
    International Journal of Molecular Sciences.2022; 23(8): 4292.     CrossRef
  • Hypoxia Increases the Potential for Neutrophil-mediated Endothelial Damage in Chronic Obstructive Pulmonary Disease
    Katharine M. Lodge, Arlette Vassallo, Bin Liu, Merete Long, Zhen Tong, Paul R. Newby, Danya Agha-Jaffar, Koralia Paschalaki, Clara E. Green, Kylie B. R. Belchamber, Victoria C. Ridger, Robert A. Stockley, Elizabeth Sapey, Charlotte Summers, Andrew S. Cowb
    American Journal of Respiratory and Critical Care Medicine.2022; 205(8): 903.     CrossRef
  • The Role of the Adipokine Resistin in the Pathogenesis and Progression of Epithelial Ovarian Cancer
    Klaudia Parafiniuk, Wiktoria Skiba, Anna Pawłowska, Dorota Suszczyk, Aleksandra Maciejczyk, Iwona Wertel
    Biomedicines.2022; 10(4): 920.     CrossRef
  • Resistin Modulates Low-Density Lipoprotein Cholesterol Uptake in Human Placental Explants via PCSK9
    Sonia Nava-Salazar, Arturo Flores-Pliego, Giovanni Pérez-Martínez, Sandra Parra-Hernández, America Vanoye-Carlo, Francisco Ibarguengoitia-Ochoa, Otilia Perichart-Perera, Enrique Reyes-Muñoz, Juan Mario Solis-Paredes, Salvador Espino y Sosa, Guadalupe Estr
    Reproductive Sciences.2022; 29(11): 3242.     CrossRef
  • Differential Association of Selected Adipocytokines, Adiponectin, Leptin, Resistin, Visfatin and Chemerin, with the Pathogenesis and Progression of Type 2 Diabetes Mellitus (T2DM) in the Asir Region of Saudi Arabia: A Case Control Study
    Mohammad Muzaffar Mir, Rashid Mir, Mushabab Ayed Abdullah Alghamdi, Javed Iqbal Wani, Zia Ul Sabah, Mohammed Jeelani, Vijaya Marakala, Shahzada Khalid Sohail, Mohamed O’haj, Muffarah Hamid Alharthi, Mohannad Mohammad S. Alamri
    Journal of Personalized Medicine.2022; 12(5): 735.     CrossRef
  • Immune system and sarcopenia: Presented relationship and future perspective
    Xuzhi Zhang, Hengzhen Li, Miao He, Jingyu Wang, Yuxiang Wu, Yusheng Li
    Experimental Gerontology.2022; 164: 111823.     CrossRef
  • Adipose Tissue Secretion Pattern Influences β-Cell Wellness in the Transition from Obesity to Type 2 Diabetes
    Giuseppina Biondi, Nicola Marrano, Anna Borrelli, Martina Rella, Giuseppe Palma, Isabella Calderoni, Edoardo Siciliano, Pasquale Lops, Francesco Giorgino, Annalisa Natalicchio
    International Journal of Molecular Sciences.2022; 23(10): 5522.     CrossRef
  • Supplemental hydroxychloroquine therapy regulates adipokines in patients with systemic lupus erythematosus with stable disease
    Risa Wakiya, Kiyo Ueeda, Hiromi Shimada, Shusaku Nakashima, Tomohiro Kameda, Nobuyuki Miyatake, Mikiya Kato, Taichi Miyagi, Koichi Sugihara, Mao Mizusaki, Rina Mino, Norimitsu Kadowaki, Hiroaki Dobashi
    Clinical Rheumatology.2022; 41(11): 3345.     CrossRef
  • Can soy isoflavones in combination with soy protein change serum concentration of adiponectin and resistin? A systematic review and meta‐analysis on randomized clinical trials
    Mitra Hariri, Bahareh Amirkalali, Ensiyeh Mollanoroozy, Ali Gholami
    Food Science & Nutrition.2022; 10(12): 4126.     CrossRef
  • Adipokines: Deciphering the cardiovascular signature of adipose tissue
    Joseph C. Galley, Shubhnita Singh, Wanessa M.C. Awata, Juliano V. Alves, Thiago Bruder-Nascimento
    Biochemical Pharmacology.2022; 206: 115324.     CrossRef
  • Evaluation of the Anti-Obesity Effect of Zeaxanthin and Exercise in HFD-Induced Obese Rats
    Mona Al-thepyani, Salha Algarni, Hana Gashlan, Mohamed Elzubier, Lina Baz
    Nutrients.2022; 14(23): 4944.     CrossRef
  • Single High-Dose Vitamin D Supplementation as an Approach for Reducing Ultramarathon-Induced Inflammation: A Double-Blind Randomized Controlled Trial
    Jan Mieszkowski, Andżelika Borkowska, Błażej Stankiewicz, Andrzej Kochanowicz, Bartłomiej Niespodziński, Marcin Surmiak, Tomasz Waldziński, Rafał Rola, Miroslav Petr, Jędrzej Antosiewicz
    Nutrients.2021; 13(4): 1280.     CrossRef
  • Resistin mitigates stemness and metabolic profile of human adipose-derived mesenchymal stem cells via insulin resistance
    Komal Rawal, Kishan M. Purohit, Tushar P. Patel, Neeta Karont, Sarita Gupta
    Cytokine.2021; 138: 155374.     CrossRef
  • Resistin is co-secreted with adiponectin in white mouse adipocytes
    Saliha Musovic, Man Mohan Shrestha, Ali M. Komai, Charlotta S. Olofsson
    Biochemical and Biophysical Research Communications.2021; 534: 707.     CrossRef
  • Resistin: Potential biomarker and therapeutic target in atherosclerosis
    Li Zhou, Jun-Yi Li, Ping-Ping He, Xiao-Hua Yu, Chao-Ke Tang
    Clinica Chimica Acta.2021; 512: 84.     CrossRef
  • The circulating levels of CTRP1 and CTRP5 are associated with obesity indices and carotid intima-media thickness (cIMT) value in patients with type 2 diabetes: a preliminary study
    Ziba Majidi, Solaleh Emamgholipour, Abolfazl Omidifar, Soheil Rahmani Fard, Hossein Poustchi, Mehrnoosh Shanaki
    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
  • Corylin reduces obesity and insulin resistance and promotes adipose tissue browning through SIRT-1 and β3-AR activation
    Chin-Chuan Chen, Chen-Hsin Kuo, Yann-Lii Leu, Shu-Huei Wang
    Pharmacological Research.2021; 164: 105291.     CrossRef
  • A Focused Review of the Metabolic Side-Effects of Clozapine
    Jessica W. Y. Yuen, David D. Kim, Ric M. Procyshyn, William J. Panenka, William G. Honer, Alasdair M. Barr
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • A Negative Energy Balance Is Associated with Metabolic Dysfunctions in the Hypothalamus of a Humanized Preclinical Model of Alzheimer’s Disease, the 5XFAD Mouse
    Antonio J. López-Gambero, Cristina Rosell-Valle, Dina Medina-Vera, Juan Antonio Navarro, Antonio Vargas, Patricia Rivera, Carlos Sanjuan, Fernando Rodríguez de Fonseca, Juan Suárez
    International Journal of Molecular Sciences.2021; 22(10): 5365.     CrossRef
  • Resistin in pregnancy: Analysis of determinants in pairs of umbilical cord blood and maternal serum
    Anne Floeck, Nina Ferrari, Christine Joisten, Maria T. Puth, Brigitte Strizek, Ramona Dolscheid-Pommerich, Ulrich Gembruch, Waltraut M. Merz
    Cytokine: X.2021; 3(2): 100052.     CrossRef
  • Is resistin the master link between inflammation and inflammation-related chronic diseases?
    Mohammed Taouis, Yacir Benomar
    Molecular and Cellular Endocrinology.2021; 533: 111341.     CrossRef
  • The dynamics of human bone marrow adipose tissue in response to feeding and fasting
    Pouneh K. Fazeli, Miriam A. Bredella, Gisela Pachon-Peña, Wenxiu Zhao, Xun Zhang, Alexander T. Faje, Megi Resulaj, Sai P. Polineni, Tara M. Holmes, Hang Lee, Elizabeth K. O’Donnell, Ormond A. MacDougald, Mark C. Horowitz, Clifford J. Rosen, Anne Klibanski
    JCI Insight.2021;[Epub]     CrossRef
  • Resistin: A journey from metabolism to cancer
    Ankita Deb, Bhavana Deshmukh, Pranay Ramteke, Firoz Khan Bhati, Manoj Kumar Bhat
    Translational Oncology.2021; 14(10): 101178.     CrossRef
  • Obesity is the basis of metabolic syndrome
    A. F. Verbovoy, N. I. Verbovaya, Yu. A. Dolgikh
    Obesity and metabolism.2021; 18(2): 142.     CrossRef
  • Human Milk Metabolic Hormones: Analytical Methods and Current Understanding
    Majed A. Suwaydi, Zoya Gridneva, Sharon L. Perrella, Mary E. Wlodek, Ching Tat Lai, Donna T. Geddes
    International Journal of Molecular Sciences.2021; 22(16): 8708.     CrossRef
  • Adipokines as Immune Cell Modulators in Multiple Sclerosis
    Merel Rijnsburger, Niek Djuric, Inge A. Mulder, Helga E. de Vries
    International Journal of Molecular Sciences.2021; 22(19): 10845.     CrossRef
  • The Role of Adipokines in Cardiovascular Pathology
    Valery Podzolkov , Anna Pokrovskaya, Ulyana Bazhanova , Tatyana Vargina , Svetlana Anatolievna Knyazeva , Daria Vanina
    Open Access Macedonian Journal of Medical Sciences.2021; 9(F): 794.     CrossRef
  • Measurement of Plasma Resistin Concentrations in Horses with Metabolic and Inflammatory Disorders
    Beatriz Fuentes-Romero, Alberto Muñoz-Prieto, José J. Cerón, María Martín-Cuervo, Manuel Iglesias-García, Escolástico Aguilera-Tejero, Elisa Díez-Castro
    Animals.2021; 12(1): 77.     CrossRef
  • EFFECT OF DIET AND EXERCISE-INDUCE WEIGHT LOSS ON LEVEL OF RESISTIN IN PATIENT WITH OBESITY
    О. I. Tokarenko, I. O. Andreieva, O. O. Tokarenko, M. M. Surmilo
    Modern medical technology.2021; (4): 11.     CrossRef
  • Alteration of gut microbiota affects expression of adiponectin and resistin through modifying DNA methylation in high-fat diet-induced obese mice
    Hongyang Yao, Chaonan Fan, Yuanyuan Lu, Xiuqin Fan, Lulu Xia, Ping Li, Rui Wang, Tiantian Tang, Yuanyuan Wang, Kemin Qi
    Genes & Nutrition.2020;[Epub]     CrossRef
  • Resistin hormone in diabetic kidney disease and its relation to iron status and hepcidin
    Zhian Sherzad Hayder, Zrar Saleem Kareem
    International Urology and Nephrology.2020; 52(4): 749.     CrossRef
  • Proteoglycans in Obesity-Associated Metabolic Dysfunction and Meta-Inflammation
    Ariane R. Pessentheiner, G. Michelle Ducasa, Philip L. S. M. Gordts
    Frontiers in Immunology.2020;[Epub]     CrossRef
  • Resistin Is Increased in Periodontal Cells and Tissues: In Vitro and In Vivo Studies
    Andressa V. B. Nogueira, Marjan Nokhbehsaim, Sema Tekin, Rafael S. de Molon, Luis C. Spolidorio, Svenja Memmert, Anna Damanaki, Andreas Jäger, Sigrun Eick, James Deschner, Joni A. Cirelli
    Mediators of Inflammation.2020; 2020: 1.     CrossRef
  • Adipose Tissue Distribution, Inflammation and Its Metabolic Consequences, Including Diabetes and Cardiovascular Disease
    Alan Chait, Laura J. den Hartigh
    Frontiers in Cardiovascular Medicine.2020;[Epub]     CrossRef
  • The possible role of endocrine dysfunction of adipose tissue in gestational diabetes mellitus
    Patrik Šimják, Kateřina Anderlová, Anna Cinkajzlová, Antonín Pařízek, Michal Kršek, Martin Haluzík
    Minerva Endocrinologica.2020;[Epub]     CrossRef
  • High Plasma Resistin Levels Portend the Insulin Resistance-Associated Susceptibility to Early Cognitive Decline in Patients with Type 2 Diabetes Mellitus
    Chenchen Wang, Xi Huang, Sai Tian, Rong Huang, Dan Guo, Hongyan Lin, Jiaqi Wang, Shaohua Wang
    Journal of Alzheimer's Disease.2020; 75(3): 807.     CrossRef
  • Resistin in metabolism, inflammation, and disease
    Deeksha Tripathi, Sashi Kant, Saurabh Pandey, Nasreen Z. Ehtesham
    The FEBS Journal.2020; 287(15): 3141.     CrossRef
  • Adipokines: New Potential Therapeutic Target for Obesity and Metabolic, Rheumatic, and Cardiovascular Diseases
    Lucia Recinella, Giustino Orlando, Claudio Ferrante, Annalisa Chiavaroli, Luigi Brunetti, Sheila Leone
    Frontiers in Physiology.2020;[Epub]     CrossRef
  • Correlation of CCL18 with Levels of Adi-pokines in the Sera of Patients with Myocardial Infarction in a 6-Month Period: Case Series
    Atefeh GamarTalepoor, Ehsan Dowlatshahi, Mehrnoush Doroudchi
    Iranian South Medical Journal.2020; 23(3): 222.     CrossRef
  • The Mesentery, Systemic Inflammation, and Crohn’s Disease
    Edgardo D Rivera, John Calvin Coffey, Dara Walsh, Eli D Ehrenpreis
    Inflammatory Bowel Diseases.2019; 25(2): 226.     CrossRef
  • Resistin and adenylyl cyclase-associated protein 1 (CAP1) regulate the expression of genes related to insulin resistance in BNL CL.2 mouse liver cells
    Dimiter Avtanski, Karin Chen, Leonid Poretsky
    Data in Brief.2019; 25: 104112.     CrossRef
  • Proteomic profile of patients with atrial fibrillation undergoing cardiac surgery†
    Ilias P Doulamis, George Samanidis, Aspasia Tzani, Asier Antoranz, Anastasios Gkogkos, Panagiotis Konstantopoulos, Vaia Pliaka, Angeliki Minia, Leonidas G Alexopoulos, Despina N Perrea, Konstantinos Perreas
    Interactive CardioVascular and Thoracic Surgery.2019; 28(1): 94.     CrossRef
  • Angiotensin-(1-7), Adipokines and Inflammation
    Deborah de Farias Lelis, Daniela Fernanda de Freitas, Amanda Souto Machado, Thaísa Soares Crespo, Sérgio Henrique Sousa Santos
    Metabolism.2019; 95: 36.     CrossRef
  • New Insights into Adipokines as Potential Biomarkers for Type-2 Diabetes Mellitus
    Marta Olivera-Santa Catalina, Pedro C. Redondo, Maria P. Granados, Carlos Cantonero, Jose Sanchez-Collado, Letizia Albarran, Jose J. Lopez
    Current Medicinal Chemistry.2019; 26(22): 4119.     CrossRef
  • Myokine–adipokine cross-talk: potential mechanisms for the association between plasma irisin and adipokines and cardiometabolic risk factors in Mexican children with obesity and the metabolic syndrome
    Adrian M. Gonzalez-Gil, Mariana Peschard-Franco, Elena C. Castillo, Gustavo Gutierrez-DelBosque, Victor Treviño, Christian Silva-Platas, Luisa Perez-Villarreal, Gerardo Garcia-Rivas, Leticia Elizondo-Montemayor
    Diabetology & Metabolic Syndrome.2019;[Epub]     CrossRef
  • Early Life Exposures to Perfluoroalkyl Substances in Relation to Adipokine Hormone Levels at Birth and During Childhood
    Colleen Shelly, Philippe Grandjean, Youssef Oulhote, Peter Plomgaard, Ruth Frikke-Schmidt, Flemming Nielsen, Denis Zmirou-Navier, Pal Weihe, Damaskini Valvi
    The Journal of Clinical Endocrinology & Metabolism.2019; 104(11): 5338.     CrossRef
  • Overweight and obesity in childhood: Dietary, biochemical, inflammatory and lifestyle risk factors
    Samah R. Albataineh, Eman F. Badran, Reema F. Tayyem
    Obesity Medicine.2019; 15: 100112.     CrossRef
  • Effects of major adipokines and the −420 C > G resistin gene polymorphism on the long-term outcome of patients with acute ischemic stroke
    Stella Bouziana, Konstantinos Tziomalos, Antonis Goulas, Timoleon-Achilleas Vyzantiadis, Maria Papadopoulou, Athanasia Panderi, Apostolos Ι. Ηatzitolios
    International Journal of Neuroscience.2019; 129(10): 978.     CrossRef
  • The Complex Interactions Between Obesity, Metabolism and the Brain
    Romina María Uranga, Jeffrey Neil Keller
    Frontiers in Neuroscience.2019;[Epub]     CrossRef
  • Resistin: A reappraisal
    E. Acquarone, F. Monacelli, R. Borghi, A. Nencioni, P. Odetti
    Mechanisms of Ageing and Development.2019; 178: 46.     CrossRef
  • Implications of resistin in type 2 diabetes mellitus and coronary artery disease: Impairing insulin function and inducing pro‐inflammatory cytokines
    Melissa Emamalipour, Khaled Seidi, Ali Jahanban‐Esfahlan, Rana Jahanban‐Esfahlan
    Journal of Cellular Physiology.2019; 234(12): 21758.     CrossRef
  • Serum-based soluble markers differentiate psoriatic arthritis from osteoarthritis
    Vinod Chandran, Fatima Abji, Anthony V Perruccio, Rajiv Gandhi, Suzanne Li, Richard J Cook, Dafna D Gladman
    Annals of the Rheumatic Diseases.2019; 78(6): 796.     CrossRef
  • Telmisartan prevents diet-induced obesity and preserves leptin transport across the blood-brain barrier in high-fat diet-fed mice
    Franziska Schuster, Gianna Huber, Ines Stölting, Emily E. Wing, Kathrin Saar, Norbert Hübner, William A. Banks, Walter Raasch
    Pflügers Archiv - European Journal of Physiology.2018; 470(11): 1673.     CrossRef
  • Adipokines in human breast milk
    Juergen Kratzsch, Yoon Ju Bae, Wieland Kiess
    Best Practice & Research Clinical Endocrinology & Metabolism.2018; 32(1): 27.     CrossRef
  • Addressing the Perfect Storm: Biomarkers in Obesity and Pathophysiology of Cardiometabolic Risk
    Krasimira Aleksandrova, Dariush Mozaffarian, Tobias Pischon
    Clinical Chemistry.2018; 64(1): 142.     CrossRef
  • Adipocytokine Involvement in Innate Immune Mechanisms
    Paulina Żelechowska, Elżbieta Kozłowska, Joanna Pastwińska, Justyna Agier, Ewa Brzezińska-Błaszczyk
    Journal of Interferon & Cytokine Research.2018; 38(12): 527.     CrossRef
  • The effect of a garlic supplement on the pro-inflammatory adipocytokines, resistin and tumor necrosis factor-alpha, and on pain severity, in overweight or obese women with knee osteoarthritis
    Sahar Dehghani, Elham Alipoor, Ahmad Salimzadeh, Mehdi Yaseri, Mostafa Hosseini, Christine Feinle-Bisset, Mohammad Javad Hosseinzadeh-Attar
    Phytomedicine.2018; 48: 70.     CrossRef
  • Perivascular adipose tissue (PVAT) in atherosclerosis: a double-edged sword
    Xiao-Yan Qi, Shun-Lin Qu, Wen-Hao Xiong, Oren Rom, Lin Chang, Zhi-Sheng Jiang
    Cardiovascular Diabetology.2018;[Epub]     CrossRef
  • Usefulness of the Adipokines as Biomarkers of Ischemic Cardiac Dysfunction
    Larisa-Diana Mocan Hognogi, Cerasela-Mihaela Goidescu, Anca-Daniela Farcaş
    Disease Markers.2018; 2018: 1.     CrossRef
  • Circulating fibroblast growth factor 21 in patients with liver cirrhosis
    Sabrina Krautbauer, Lisa Rein-Fischboeck, Elisabeth M Haberl, Rebekka Pohl, Reiner Wiest, Christa Buechler
    Clinical and Experimental Medicine.2018; 18(1): 63.     CrossRef
  • Association of Cord Blood Resistin with Neonatal Birth Weight and Gestational Age
    Shahnaz Pourarian, Saeed Fotouhikia, Forough Saki
    Journal of Comprehensive Pediatrics.2018;[Epub]     CrossRef
  • Major Adipokines and the −420C>G Resistin Gene Polymorphism as Predictors of Acute Ischemic Stroke Severity and In-Hospital Outcome
    Styliani D. Bouziana, Konstantinos Tziomalos, Antonios Goulas, Timoleon-Achilleas Vyzantiadis, Athanasia Panderi, Apostolos Ι. Ηatzitolios
    Journal of Stroke and Cerebrovascular Diseases.2018; 27(4): 963.     CrossRef
  • Resistin and NGAL are associated with inflammatory response, endothelial activation and clinical outcomes in sepsis
    Stephen P. J. Macdonald, Erika Bosio, Claire Neil, Glenn Arendts, Sally Burrows, Lisa Smart, Simon G. A. Brown, Daniel M. Fatovich
    Inflammation Research.2017; 66(7): 611.     CrossRef
  • Reference values for fasting serum resistin in healthy children and adolescents
    Ulrik Lausten-Thomsen, Michael Christiansen, Paula Louise Hedley, Tenna Ruest Haarmark Nielsen, Cilius Esmann Fonvig, Oluf Pedersen, Torben Hansen, Jens-Christian Holm
    Clinica Chimica Acta.2017; 469: 161.     CrossRef
  • Sarcopenic obesity or obese sarcopenia: A cross talk between age-associated adipose tissue and skeletal muscle inflammation as a main mechanism of the pathogenesis
    Alexander Kalinkovich, Gregory Livshits
    Ageing Research Reviews.2017; 35: 200.     CrossRef
  • Is There Any Relationship between Plasma 25-Hydroxyvitamin D3, Adipokine Profiles and Excessive Body Weight in Type 2 Diabetic Patients?
    Joanna Kocot, Piotr Dziemidok, Małgorzata Kiełczykowska, Jacek Kurzepa, Grzegorz Szcześniak, Irena Musik
    International Journal of Environmental Research and Public Health.2017; 15(1): 19.     CrossRef
  • Exogenous Adipokine Peptide Resistin Protects Against Focal Cerebral Ischemia/Reperfusion Injury in Mice
    Jiangtao Zhu, Di Wu, Chenyu Zhao, Man Luo, Ronald C. Hamdy, Balvin H. L. Chua, Xingshun Xu, Zhigang Miao
    Neurochemical Research.2017; 42(10): 2949.     CrossRef
  • Adipokines in Liver Cirrhosis
    Christa Buechler, Elisabeth Haberl, Lisa Rein-Fischboeck, Charalampos Aslanidis
    International Journal of Molecular Sciences.2017; 18(7): 1392.     CrossRef
  • The role of sex steroids in white adipose tissue adipocyte function
    A E Newell-Fugate
    Reproduction.2017; 153(4): R133.     CrossRef
  • Odanacatib Inhibits Resistin-induced Cardiomyocyte Hypertrophy Through the Inactivation of ERK Signaling Pathway
    Xian Zheng, Guanchang Cheng, Jianwei Luo, Qunhui Ye, Yongzhi Deng, Lin Wu
    International Journal of Pharmacology.2017; 13(2): 212.     CrossRef
  • Linking resistin, inflammation, and cardiometabolic diseases
    Hyeong Kyu Park, Mi Kyung Kwak, Hye Jeong Kim, Rexford S. Ahima
    The Korean Journal of Internal Medicine.2017; 32(2): 239.     CrossRef
  • Translating the biology of adipokines in atherosclerosis and cardiovascular diseases: Gaps and open questions
    M. Ruscica, A. Baragetti, A.L. Catapano, G.D. Norata
    Nutrition, Metabolism and Cardiovascular Diseases.2017; 27(5): 379.     CrossRef
  • Differences in Mean Levels of Maternal Resistin Serum between Early Onset Preeclampsia (EOPE) and Late Onset Preeclampsia (LOPE)
    Yusrawati ., P. Alfajra, R. Machmud
    Research Journal of Obstetrics and Gynecology.2016; 10(1): 1.     CrossRef
  • Secret talk between adipose tissue and central nervous system via secreted factors—an emerging frontier in the neurodegenerative research
    Avinash Parimisetty, Anne-Claire Dorsemans, Rana Awada, Palaniyandi Ravanan, Nicolas Diotel, Christian Lefebvre d’Hellencourt
    Journal of Neuroinflammation.2016;[Epub]     CrossRef
  • The role of adipokines in ischemic stroke risk stratification
    Styliani Bouziana, Konstantinos Tziomalos, Antonios Goulas, Apostolos Ι Ηatzitolios
    International Journal of Stroke.2016; 11(4): 389.     CrossRef
  • The endocrine function of human placenta: an overview
    Mariana A. Costa
    Reproductive BioMedicine Online.2016; 32(1): 14.     CrossRef
  • Ursolic acid plays a protective role in obesity-induced cardiovascular diseases
    Yu-Ting Lin, Ya-Mei Yu, Weng-Cheng Chang, Su-Yin Chiang, Hsu-Chin Chan, Ming-Fen Lee
    Canadian Journal of Physiology and Pharmacology.2016; 94(6): 627.     CrossRef
  • Determinants of body weight regulation in humans
    Milene Moehlecke, Luis Henrique Canani, Lucas Oliveira Junqueira e Silva, Manoel Roberto Maciel Trindade, Rogerio Friedman, Cristiane Bauermann Leitão
    Archives of Endocrinology and Metabolism.2016; 60(2): 152.     CrossRef
  • Sitagliptin decreases ventricular arrhythmias by attenuated glucose-dependent insulinotropic polypeptide (GIP)-dependent resistin signalling in infarcted rats
    Tsung-Ming Lee, Wei-Ting Chen, Nen-Chung Chang
    Bioscience Reports.2016;[Epub]     CrossRef
  • Les adipokines : état des lieux et nouveautés
    J.-P. Bastard, C. Bastard, S. Fellahi, C. Vatier, J. Capeau, B. Fève
    Obésité.2016; 11(3): 181.     CrossRef
  • Factors that promote macrophage homing to adipose tissue in metabolic syndrome
    Ishwarlal Jialal, Beverley Adams-Huet, Sridevi Devaraj
    Journal of Diabetes and its Complications.2016; 30(8): 1434.     CrossRef
  • Uncovering Factors Related to Pancreatic Beta-Cell Function
    Aoife M. Curran, Miriam F. Ryan, Elaine Drummond, Eileen R. Gibney, Michael J. Gibney, Helen M. Roche, Lorraine Brennan, Nigel Irwin
    PLOS ONE.2016; 11(8): e0161350.     CrossRef
  • Resistin’s, obesity and insulin resistance: the continuing disconnect between rodents and humans
    X. Huang, Z. Yang
    Journal of Endocrinological Investigation.2016; 39(6): 607.     CrossRef
  • Adipocytokines in renal transplant recipients
    Kristof Nagy, Shankar Prasad Nagaraju, Connie M. Rhee, Zoltan Mathe, Miklos Z. Molnar
    Clinical Kidney Journal.2016; 9(3): 359.     CrossRef
  • Endocrine alterations from concentric vs. eccentric muscle actions: A brief review
    Robert R. Kraemer, V. Daniel Castracane
    Metabolism.2015; 64(2): 190.     CrossRef
  • Non-traditional cytokines: How catecholamines and adipokines influence macrophages in immunity, metabolism and the central nervous system
    Mark A. Barnes, Monica J. Carson, Meera G. Nair
    Cytokine.2015; 72(2): 210.     CrossRef
  • Local and serum levels of adipokines in patients with obesity after periodontal therapy: one‐year follow‐up
    Tiago Eduardo Dias Gonçalves, Glaucia Santos Zimmermann, Luciene Cristina Figueiredo, Monique de Carvalho Souza, Daniele Ferreira da Cruz, Marta Ferreira Bastos, Hélio Doyle Pereira da Silva, Poliana Mendes Duarte
    Journal of Clinical Periodontology.2015; 42(5): 431.     CrossRef
  • Newborn Adipokines and Birth Outcomes
    Edwina H. Yeung, Alexander C. McLain, Nancy Anderson, David Lawrence, Nansi S. Boghossian, Charlotte Druschel, Erin Bell
    Paediatric and Perinatal Epidemiology.2015; 29(4): 317.     CrossRef
  • The effect of a preparation of minerals, vitamins and trace elements on the cardiac gene expression pattern in male diabetic rats
    Márta Sárközy, Gergő Szűcs, Márton Pipicz, Ágnes Zvara, Katalin Éder, Veronika Fekete, Csilla Szűcs, Judit Bárkányi, Csaba Csonka, László G. Puskás, Csaba Kónya, Péter Ferdinandy, Tamás Csont
    Cardiovascular Diabetology.2015;[Epub]     CrossRef
  • Diet-induced variability of the resistin gene (Retn) transcript level and methylation profile in rats
    Joanna Nowacka-Woszuk, Ewa Pruszynska-Oszmalek, Maciej Szydlowski, Slawomir Sadkowski, Izabela Szczerbal
    BMC Genetics.2015;[Epub]     CrossRef
  • INFLUENCE OF RESISTIN ON THE COURSE OF ISCHEMIC HEART DISEASE IN PATIENTS WITH TYPE 2 DIABETES MELLITUS
    A. T. Teplyakov, Sh. D. Akhmedov, T. Ye. Suslova, А. V. Andriyanova, A. V. Kuznetsova, N. V. Protopopova, V. V. Kalyuzhin, O. N. Nasanova
    Bulletin of Siberian Medicine.2015; 14(5): 73.     CrossRef
  • The Effects of a Single Developmentally Entrained Pulse of Testosterone in Female Neonatal Mice on Reproductive and Metabolic Functions in Adult Life
    Hyeran Jang, Shalender Bhasin, Tyler Guarneri, Carlo Serra, Mary Schneider, Mi-Jeong Lee, Wen Guo, Susan K. Fried, Karol Pencina, Ravi Jasuja
    Endocrinology.2015; 156(10): 3737.     CrossRef
  • The Resin fromProtium heptaphyllumPrevents High-Fat Diet-Induced Obesity in Mice: Scientific Evidence and Potential Mechanisms
    Karine Maria Martins Bezerra Carvalho, José Delano Barreto Marinho Filho, Tiago Sousa de Melo, Ana Jérsia Araújo, Josiane da Silva Quetz, Maria do Perpétuo Socorro Saldanha da Cunha, Karina Moura de Melo, Armenio Andre de Carvalho Almeida da Silva, Adrian
    Evidence-Based Complementary and Alternative Medicine.2015; 2015: 1.     CrossRef
  • Evolution of the Vertebrate Resistin Gene Family
    Qingda Hu, Huanran Tan, David M. Irwin, Marc Robinson-Rechavi
    PLOS ONE.2015; 10(6): e0130188.     CrossRef
  • Obesity, adipokines and neuroinflammation
    Argel Aguilar-Valles, Wataru Inoue, Christoph Rummel, Giamal N. Luheshi
    Neuropharmacology.2015; 96: 124.     CrossRef
  • Adipokines at the crossroad between obesity and cardiovascular disease
    Filippo Molica, Sandrine Morel, Brenda Kwak, Françoise Rohner-Jeanrenaud, Sabine Steffens
    Thrombosis and Haemostasis.2015; 113(03): 553.     CrossRef
  • Resistin – 420 C/G polymorphism and serum resistin level in Iranian patients with gestational diabetes mellitus
    Mohammad Ali Takhshid, Zinab Zare
    Journal of Diabetes & Metabolic Disorders.2015;[Epub]     CrossRef
  • Ictal adipokines are associated with pain severity and treatment response in episodic migraine
    Nu Cindy Chai, Bizu Gelaye, Gretchen E. Tietjen, Paul D. Dash, Barbara A. Gower, Linda W. White, Thomas N. Ward, Ann I. Scher, B. Lee Peterlin
    Neurology.2015; 84(14): 1409.     CrossRef
  • Inflammation and insulin/IGF-1 resistance as the possible link between obesity and neurodegeneration
    Lindsay J. Spielman, Jonathan P. Little, Andis Klegeris
    Journal of Neuroimmunology.2014; 273(1-2): 8.     CrossRef
  • Wild Blueberries (Vaccinium myrtillus) Alleviate Inflammation and Hypertension Associated with Developing Obesity in Mice Fed with a High-Fat Diet
    Otto T. Mykkänen, Anne Huotari, Karl-Heinz Herzig, Thomas W. Dunlop, Hannu Mykkänen, Pirkka V. Kirjavainen, Michael Müller
    PLoS ONE.2014; 9(12): e114790.     CrossRef
  • Role of fat and adipokines in intestinal inflammation
    LeaI Kredel, Arvind Batra, Britta Siegmund
    Current Opinion in Gastroenterology.2014; 30(6): 559.     CrossRef
  • 13C metabolic flux analysis shows that resistin impairs the metabolic response to insulin in L6E9 myotubes
    Shirley Guzmán, Silvia Marin, Anibal Miranda, Vitaly A Selivanov, Josep J Centelles, Romain Harmancey, Fatima Smih, Annie Turkieh, Yves Durocher, Antonio Zorzano, Philippe Rouet, Marta Cascante
    BMC Systems Biology.2014;[Epub]     CrossRef
  • Bee Pollen Improves Muscle Protein and Energy Metabolism in Malnourished Old Rats through Interfering with the Mtor Signaling Pathway and Mitochondrial Activity
    Jérôme Salles, Nicolas Cardinault, Véronique Patrac, Alexandre Berry, Christophe Giraudet, Marie-Laure Collin, Audrey Chanet, Camille Tagliaferri, Philippe Denis, Corinne Pouyet, Yves Boirie, Stéphane Walrand
    Nutrients.2014; 6(12): 5500.     CrossRef
Sulwon Lecture 2011
Post-Renal Transplant Diabetes Mellitus in Korean Subjects: Superimposition of Transplant-Related Immunosuppressant Factors on Genetic and Type 2 Diabetic Risk Factors
Hyun Chul Lee
Diabetes Metab J. 2012;36(3):199-206.   Published online June 14, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.3.199
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AbstractAbstract PDFPubReader   

Postrenal transplantation diabetes mellitus (PTDM), or new-onset diabetes after organ transplantation, is an important chronic transplant-associated complication. Similar to type 2 diabetes, decreased insulin secretion and increased insulin resistance are important to the pathophysiologic mechanism behind the development of PTDM. However, β-cell dysfunction rather than insulin resistance seems to be a greater contributing factor in the development of PTDM. Increased age, family history of diabetes, ethnicity, genetic variation, obesity, and hepatitis C are partially accountable for an increased underlying risk of PTDM in renal allograft recipients. In addition, the use of and kinds of immunosuppressive agents are key transplant-associated risk factors. Recently, a number of genetic variants or polymorphisms susceptible to immunosuppressants have been reported to be associated with calcineurin inhibition-induced β-cell dysfunction. The identification of high risk factors of PTDM would help prevent PTDM and improve long-term patient outcomes by allowing for personalized immunosuppressant regimens and by managing cardiovascular risk factors.

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  • Risk Factors Related to New-Onset Diabetes after Renal Transplantation in Patients of a High Complexity University Hospital in Colombia, 20 Years of Experience
    Guillermo E. Guzmán, Angela M. Victoria, Isabella Ramos, Alejandro Maldonado, Eliana Manzi, Juan F. Contreras-Valero, Liliana Mesa, Johanna Schweineberg, Juan G. Posada, Jorge I. Villegas, Luis A. Caicedo, Carlos E. Durán
    International Journal of Endocrinology.2020; 2020: 1.     CrossRef
  • Synthesis of Fructose Biosensors and Progressing Their Efficiency Using Californium Colloidal Nanoparticles for Detecting Fructose and Triglycerides
    Alireza Heidari
    Advanced Science, Engineering and Medicine.2020; 12(8): 1002.     CrossRef
  • Comparison of Glucose Tolerance between Kidney Transplant Recipients and Healthy Controls
    Hisao Shimada, Junji Uchida, Shunji Nishide, Kazuya Kabei, Akihiro Kosoku, Keiko Maeda, Tomoaki Iwai, Toshihide Naganuma, Yoshiaki Takemoto, Tatsuya Nakatani
    Journal of Clinical Medicine.2019; 8(7): 920.     CrossRef
  • Diabètes post-transplantation rénale
    Danièle Dubois-Laforgue
    Néphrologie & Thérapeutique.2017; 13: S137.     CrossRef
  • Risk assessment and management of post-transplant diabetes mellitus
    Eugene Han, Myoung Soo Kim, Yu Seun Kim, Eun Seok Kang
    Metabolism.2016; 65(10): 1559.     CrossRef
  • Renal posttransplantation diabetes mellitus: An overview
    Ana Laura Pimentel, Andrea Carla Bauer, Joíza Lins Camargo
    Clinica Chimica Acta.2015; 450: 327.     CrossRef
  • HMG CoA Reductase Inhibitor Treatment Induces Dysglycemia in Renal Allograft Recipients
    Eun Yeong Choe, Hye Jin Wang, Obin Kwon, Yongin Cho, Kyu Ha Huh, Myoung Soo Kim, Yu Seun Kim, Chul Woo Ahn, Bong Soo Cha, Hyun Chul Lee, Eun Seok Kang
    Transplantation.2014; 97(4): 419.     CrossRef
  • Statin therapy is associated with the development of new-onset diabetes after transplantation in liver recipients with high fasting plasma glucose levels
    Yongin Cho, Min Jung Lee, Eun Yeong Choe, Chang Hee Jung, Dong Jin Joo, Myoung Soo Kim, Bong Soo Cha, Joong-Yeol Park, Eun Seok Kang
    Liver Transplantation.2014; 20(5): 557.     CrossRef
  • Post-Transplant Diabetes Mellitus: Is It Associated With Poor Allograft Outcomes in Renal Transplants?
    J.Y. Choi, O.J. Kwon
    Transplantation Proceedings.2013; 45(8): 2892.     CrossRef
Sulwon Lecture 2009
The Search for Genetic Risk Factors of Type 2 Diabetes Mellitus
Kyong Soo Park
Diabetes Metab J. 2011;35(1):12-22.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.12
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  • 25 Crossref
AbstractAbstract PDFPubReader   

Type 2 diabetes mellitus (T2DM) is caused by complex interplay between multiple genetic and environmental factors. The three major approaches used to identify the genetic susceptibility include candidate gene approach, familial linkage analysis and genome- wide association analysis. Recent advance in genome-wide association studies have greatly improved our understanding of the pathophysiology of T2DM. As of the end of 2010, there are more than 40 confirmed T2DM-associated genetic loci. Most of the T2DM susceptibility genes were implicated in decreased β-cell function. However, these genetic variations have a modest effect and their combination only explains less than 10% of the T2DM heritability. With the advent of the next-generation sequencing technology, we will soon identify rare variants of larger effect as well as causal variants. These advances in understanding the genetics of T2DM will lead to the development of new therapeutic and preventive strategies and individualized medicine.

Citations

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  • Comparative analysis of the association of polymorphism rs9939609 of the FTO gene in patients with type 2 diabetes mellitus in the Tatar and Yakut populations
    Farida V. Valeeva, Nadezhda I. Pavlova, Alexey A. Bochurov, Alexey V. Krylov, Lyubov A. Sydykova, Vladislav A. Alekseev, Kamilya B. Khasanova, Ildus I. Ahmetov, Tatyana А. Kiseleva
    Consilium Medicum.2024; 26(4): 232.     CrossRef
  • Diabetes: Risk factor and translational therapeutic implications for Alzheimer's disease
    Jeffrey Cummings, Andrew Ortiz, Janelle Castellino, Jefferson Kinney
    European Journal of Neuroscience.2022; 56(9): 5727.     CrossRef
  • Association of gene polymorphisms with body weight changes in prediabetic patients
    Farida V. Valeeva, Mariya S. Medvedeva, Kamilya B. Khasanova, Elena V. Valeeva, Tatyana A. Kiseleva, Emiliya S. Egorova, Craig Pickering, Ildus I. Ahmetov
    Molecular Biology Reports.2022; 49(6): 4217.     CrossRef
  • Analysis of the association of FTO, PPARG and PPARGC1A gene polymorphisms with carbohydrate metabolism disorders
    Farida V. Valeeva, Kamilya B. Khasanova, Elizaveta A. Sozinova, Tatyana A. Kiseleva, Elena V. Valeeva, Emiliya S. Egorova, Ildus I. Ahmetov
    Kazan medical journal.2022; 103(4): 592.     CrossRef
  • Associations between new and old anthropometric indices with type 2 diabetes mellitus and risk of metabolic complications: a cross-sectional analytical study
    Parichehr Amiri, Ahmad Zare Javid, Leila Moradi, Neda Haghighat, Rahim Moradi, Hossein Bavi Behbahani, Milad Zarrin, Hadi Bazyar
    Jornal Vascular Brasileiro.2021;[Epub]     CrossRef
  • When will individuals meet their personalized probabilities? A philosophical note on risk prediction
    Olaf M. Dekkers, Jesse M. Mulder
    European Journal of Epidemiology.2020; 35(12): 1115.     CrossRef
  • From Pre-Diabetes to Diabetes: Diagnosis, Treatments and Translational Research
    Radia Khan, Zoey Chua, Jia Tan, Yingying Yang, Zehuan Liao, Yan Zhao
    Medicina.2019; 55(9): 546.     CrossRef
  • Systematic analysis of genes and diseases using PheWAS-Associated networks
    Ali Khosravi, Morteza Kouhsar, Bahram Goliaei, B. Jayaram, Ali Masoudi-Nejad
    Computers in Biology and Medicine.2019; 109: 311.     CrossRef
  • Protective effects of asiatic acid in a spontaneous type 2 diabetic mouse model
    Wen Sun, Guangyuan Xu, Xuan Guo, Guangbin Luo, Lili Wu, Yi Hou, Xiangyu Guo, Jingxin Zhou, Tunhai Xu, Lingling Qin, Yixin Fan, Li Han, Motlalepula Matsabisa, Xuesheng Ma, Tonghua Liu
    Molecular Medicine Reports.2017; 16(2): 1333.     CrossRef
  • Are We in the Same Risk of Diabetes Mellitus? Gender- and Age-Specific Epidemiology of Diabetes in 2001 to 2014 in the Korean Population
    Bo Kyung Koo, Min Kyong Moon
    Diabetes & Metabolism Journal.2016; 40(3): 175.     CrossRef
  • Efficient Strategy to Identify Gene-Gene Interactions and Its Application to Type 2 Diabetes
    Donghe Li, Sungho Won
    Genomics & Informatics.2016; 14(4): 160.     CrossRef
  • Genetic Polymorphisms Associated with Overweight and Obesity in Uncontrolled Type 2 Diabetes Mellitus
    Nor Bahirah Kasim, Hasniza Zaman Huri, Shireene Ratna Vethakkan, Luqman Ibrahim, Bashar Mudhaffar Abdullah
    Biomarkers in Medicine.2016; 10(4): 403.     CrossRef
  • A multicenter clinical study to determine the efficacy of a novel fenugreek seed (Trigonella foenum-graecum) extract (Fenfuro™) in patients with type 2 diabetes
    Narsingh Verma, Kauser Usman, Naresh Patel, Arvind Jain, Sudhir Dhakre, Anand Swaroop, Manashi Bagchi, Pawan Kumar, Harry G. Preuss, Debasis Bagchi
    Food & Nutrition Research.2016; 60(1): 32382.     CrossRef
  • Association between -308G/A TNFA Polymorphism and Susceptibility to Type 2 Diabetes Mellitus: A Systematic Review
    Geisa Izetti Luna, Izabel Cristina Rodrigues da Silva, Mauro Niskier Sanchez
    Journal of Diabetes Research.2016; 2016: 1.     CrossRef
  • Decision tree-based modelling for identification of potential interactions between type 2 diabetes risk factors: a decade follow-up in a Middle East prospective cohort study
    Azra Ramezankhani, Esmaeil Hadavandi, Omid Pournik, Jamal Shahrabi, Fereidoun Azizi, Farzad Hadaegh
    BMJ Open.2016; 6(12): e013336.     CrossRef
  • Metabolomics – the complementary field in systems biology: a review on obesity and type 2 diabetes
    Mohamad Hafizi Abu Bakar, Mohamad Roji Sarmidi, Kian-Kai Cheng, Abid Ali Khan, Chua Lee Suan, Hasniza Zaman Huri, Harisun Yaakob
    Molecular BioSystems.2015; 11(7): 1742.     CrossRef
  • Predictive modeling for incident and prevalent diabetes risk evaluation
    Katya L Masconi, Justin Basile Echouffo-Tcheugui, Tandi E Matsha, Rajiv T Erasmus, Andre Pascal Kengne
    Expert Review of Endocrinology & Metabolism.2015; 10(3): 277.     CrossRef
  • Polymorphism of gene UBE2E2 and the risk of developing diabetes type 2
    Elena Vladimirovna Kazakova, Yanhui Wu, Meijun Chen, Tongtong Wang, Lulu Sun, Hong Qiao
    Diabetes mellitus.2015; 18(3): 46.     CrossRef
  • The Architecture of Risk for Type 2 Diabetes: Understanding Asia in the Context of Global Findings
    Noraidatulakma Abdullah, John Attia, Christopher Oldmeadow, Rodney J. Scott, Elizabeth G. Holliday
    International Journal of Endocrinology.2014; 2014: 1.     CrossRef
  • Translational medicine as a new clinical tool and application which improves metabolic diseases: perspectives from 2012 Sino‐American symposium on clinical and translational medicine
    Lin Shi, Elena López Villar, Chengshui Chen
    Clinical and Translational Medicine.2014;[Epub]     CrossRef
  • Frequency of Fat Mass and Obesity-Associated Gene rs9939609 and Peroxisome Proliferator-Activated Receptor Gamma 2 Gene rs1801282 Polymorphisms among Trinidadian Neonates of Different Ethnicities and Their Relationship to Anthropometry at Birth
    Candace E. Cuthbert, D. Dan Ramdath, Jerome E. Foster
    Lifestyle Genomics.2014; 7(1): 39.     CrossRef
  • Genetics of type 2 diabetes and potential clinical implications
    Soo Heon Kwak, Kyong Soo Park
    Archives of Pharmacal Research.2013; 36(2): 167.     CrossRef
  • Genetics in Diabetes Mellitus - Contribution to the Classification and Management
    Jeesuk Yu
    Annals of Pediatric Endocrinology & Metabolism.2012; 17(4): 211.     CrossRef
  • Genome-wide association studies with metabolomics
    Jerzy Adamski
    Genome Medicine.2012; 4(4): 34.     CrossRef
  • Typ-2-Diabetes-assoziierte Gene
    J. Kriebel, H. Grallert, T. Illig
    Der Diabetologe.2012; 8(1): 26.     CrossRef
Original Articles
R1467H Variants of Rho Guanine Nucleotide Exchange Factor 11 (ARHGEF11) are Associated with Type 2 Diabetes Mellitus in Koreans
Qing Song Jin, So Hun Kim, Shan-Ji Piao, Hyun Ae Lim, Seung Youn Lee, Seong Bin Hong, Yong Seong Kim, Hun-Jae Lee, Moonsuk Nam
Korean Diabetes J. 2010;34(6):368-373.   Published online December 31, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.6.368
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AbstractAbstract PDFPubReader   
Background

The human Rho guanine nucleotide exchange factor 11 (ARHGEF11) functions as an activator of Rho GTPases and is thought to influence insulin signaling. The R1467H variant of ARHGEF11 has been reported to be associated with susceptibility to type 2 diabetes mellitus (T2DM) in Western populations.

Methods

We investigated the effects of the R1467H variant on susceptibility to T2DM as well as related traits in a Korean population. We genotyped the R1467H (rs945508) of ARHGEF11 in 689 unrelated T2DM patients and 249 non-diabetic individuals and compared the clinical and biochemical characteristics according to different alleles.

Results

The H allele was significantly more frequent in T2DM cases than in controls (P = 0.037, 17.1% and 13.1%; respectively). H homozygocity was associated with a higher risk of T2DM compared to those with R/R or R/H genotype (odds ratio, 5.24; 95% confidence interval, 1.06 to 25.83; P = 0.042). The fasting plasma glucose, HbA1c, fasting insulin, HOMA2-IR and HOMA2-%β levels did not differ significantly between different genotypes.

Conclusion

Our study replicated associations of the ARHGEF11 polymorphism with increased risk of T2DM in a Korean population and thus supports previous data implicating a potential role of ARHGEF11 in the etiology of T2DM. Further studies revealing the underlying mechanism for this association are needed.

Citations

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  • Epigenetic alteration of Rho guanine nucleotide exchange Factor 11 (ARHGEF11) in cord blood samples in macrosomia exposed to intrauterine hyperglycemia
    Jie Yan, Rina Su, Wanyi Zhang, Yumei Wei, Chen Wang, Li Lin, Hui Feng, Huixia Yang
    The Journal of Maternal-Fetal & Neonatal Medicine.2021; 34(3): 422.     CrossRef
  • Loss of Arhgef11 in the Dahl Salt-Sensitive Rat Protects Against Hypertension-Induced Renal Injury
    Ashley C. Johnson, Wenjie Wu, Esinam M. Attipoe, Jennifer M. Sasser, Erin B. Taylor, Kurt C. Showmaker, Patrick B. Kyle, Merry L. Lindsey, Michael R. Garrett
    Hypertension.2020; 75(4): 1012.     CrossRef
  • Transgenerational Obesity and Alteration of ARHGEF11 in the Rat Liver Induced by Intrauterine Hyperglycemia
    Wanyi Zhang, Rina Su, Hui Feng, Li Lin, Chen Wang, Huixia Yang
    Journal of Diabetes Research.2019; 2019: 1.     CrossRef
  • ARHGEF11 affecting the placental insulin signaling pathway in fetal macrosomia of normal glucose tolerance pregnant women
    Wanyi Zhang, Rina Su, Li Lin, Huixia Yang
    Placenta.2018; 63: 7.     CrossRef
  • Genetic variants and clinical relevance associated with gestational diabetes mellitus in Chinese women: a case-control study
    Jie Yan, Rina Su, Deng Ao, Yan Wang, Haijun Wang, Huixia Yang
    The Journal of Maternal-Fetal & Neonatal Medicine.2018; 31(16): 2115.     CrossRef
  • Human Rho Guanine Nucleotide Exchange Factor 11 (ARHGEF11) Regulates Dendritic Morphogenesis
    Yutaka Mizuki, Manabu Takaki, Shinji Sakamoto, Sojiro Okamoto, Makiko Kishimoto, Yuko Okahisa, Masahiko Itoh, Norihito Yamada
    International Journal of Molecular Sciences.2016; 18(1): 67.     CrossRef
  • Allelic Variants in Arhgef11 via the Rho-Rock Pathway Are Linked to Epithelial–Mesenchymal Transition and Contributes to Kidney Injury in the Dahl Salt-Sensitive Rat
    Zhen Jia, Ashley C. Johnson, Xuexiang Wang, Zibiao Guo, Albert W. Dreisbach, Jack R. Lewin, Patrick B. Kyle, Michael R. Garrett, Maria Pia Rastaldi
    PLOS ONE.2015; 10(7): e0132553.     CrossRef
  • The Rho-guanine nucleotide exchange factor PDZ-RhoGEF governs susceptibility to diet-induced obesity and type 2 diabetes
    Ying-Ju Chang, Scott Pownall, Thomas E Jensen, Samar Mouaaz, Warren Foltz, Lily Zhou, Nicole Liadis, Minna Woo, Zhenyue Hao, Previn Dutt, Philip J Bilan, Amira Klip, Tak Mak, Vuk Stambolic
    eLife.2015;[Epub]     CrossRef
  • Human Rho guanine nucleotide exchange factor 11 gene is associated with schizophrenia in a Japanese population
    Yutaka Mizuki, Manabu Takaki, Yuko Okahisa, Shinji Sakamoto, Masafumi Kodama, Hiroshi Ujike, Yosuke Uchitomi
    Human Psychopharmacology: Clinical and Experimental.2014; 29(6): 552.     CrossRef
  • Small G proteins and their regulators in cellular signalling
    Roland Csépányi-Kömi, Magdolna Lévay, Erzsébet Ligeti
    Molecular and Cellular Endocrinology.2012; 353(1-2): 10.     CrossRef
  • The Duration of Sulfonylurea Treatment Is Associated withβ-Cell Dysfunction in Patients with Type 2 Diabetes Mellitus
    Mi-Seon Shin, Jee Hee Yu, Chang Hee Jung, Jenie Yoonoo Hwang, Woo Je Lee, Min-Seon Kim, Joong-Yeol Park
    Diabetes Technology & Therapeutics.2012; 14(11): 1033.     CrossRef
Polymorphisms of the Reg1α Gene and Early Onset Type 2 Diabetes in the Korean Population
Bo Kyung Koo, Young Min Cho, Kuchan Kimm, Jong-Young Lee, Bermseok Oh, Byung Lae Park, Hyun Sub Cheong, Hyoung Doo Shin, Kyung Soo Ko, Sang Gyu Park, Hong Kyu Lee, Kyong Soo Park
Korean Diabetes J. 2010;34(4):229-236.   Published online August 31, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.4.229
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AbstractAbstract PDFPubReader   
Background

The Reg gene has been reported to be expressed in regenerating islets and Reg1 protein to be up-regulated at an early stage of diabetes in mice. As human Reg1α is homologous with murine Reg1, we investigated whether common variants in Reg1α are associated with type 2 diabetes in the Korean population.

Methods

We sequenced the Reg1α gene to identify common polymorphisms using 24 Korean DNA samples. Of 11 polymorphisms found, five common ones (g.-385T>C [rs10165462], g.-36T>G [rs25689789], g.209G>T [rs2070707], g.1385C>G [novel], and g.2199G>A [novel]) were genotyped in 752 type 2 diabetic patients and 642 non-diabetic subjects.

Results

No polymorphism was associated with the risk of type 2 diabetes. However, g.-385C and g.2199A lowered the risk of early-onset type 2 diabetes, defined as a diagnosis in subjects whose age at diagnosis was 25 years or more but less than 40 years (odds ratio [OR], 0.721 [0.535 to 0.971] and 0.731 [0.546 to 0.977] for g.-385C and g.2199A, respectively) and g.1385G increased the risk of early-onset diabetes (OR, 1.398 [1.055 to 1.854]). Although adjusting for errors in multiple hypotheses-testing showed no statistically significant association between the three individual polymorphisms and early-onset diabetes, the haplotype H1, composed of g.-385C, g.1385C, and g.2199A, was associated with a reduced risk of early-onset diabetes (OR, 0.590 [0.396 to 0.877], P = 0.009).

Conclusion

Polymorphisms in the Reg1α were not found to be associated with overall susceptibility to type 2 diabetes, though some showed modest associations with early-onset type 2 diabetes in the Korean population.

Citations

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  • A Novel Variant Of Regenerating Iα Gene (REG) In Type II Diabetics Among Pakistani Targeted Population
    Sadaf Saleem, Saeeda Baig, Sadia Farrukh, Mazhar Shafiq
    Journal of Rawalpindi Medical College.2023;[Epub]     CrossRef
  • Glycemic Effects of Once-a-Day Rapid-Acting Insulin Analogue Addition on a Basal Insulin Analogue in Korean Subjects with Poorly Controlled Type 2 Diabetes Mellitus
    Eun Yeong Choe, Yong-ho Lee, Byung-Wan Lee, Eun-Seok Kang, Bong Soo Cha, Hyun Chul Lee
    Diabetes & Metabolism Journal.2012; 36(3): 230.     CrossRef
Genetic Association of Mitochondrial DNA Polymorphisms with Type 2 Diabetes Mellitus.
Tae Su Han, Jee Hye Choi, Jina Park, Kwang Ho Lee, Ae Ja Park
Korean Diabetes J. 2009;33(5):382-391.   Published online October 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.5.382
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AbstractAbstract PDF
BACKGROUND
Although many single nucleotide polymorphisms (SNPs) of mtDNA have been found to be associated with type 2 diabetes mellitus, the results of studies using different population samples and different methods are mixed. Therefore, we conducted a genetic association study of mtDNA SNPs and type 2 diabetes mellitus in a Korean sample and compared our results with those of studies conducted in other human populations. METHODS: A total of 298 blood samples from 147 type 2 diabetic patients and 151 normal controls were surveyed for SNPs via PCR directed sequencing. Sequencing analyses were performed using the SeqMan module of the DNASTAR program. The identified SNPs were compared to previously reported SNP lists on NCBI and V-mitoSNP. RESULTS: A total of 24 SNPs were identified in the MT-RNR2, MR-TL1 and MT-ND1 mtDNA genes in Korean type 2 diabetes mellitus patients and normal controls. The SNPs identified in the Korean sample were not closely associated with the type 2 diabetes mellitus phenotype, a significantly different result from those previously observed in European, Chinese and Japanese samples. Additionally, a haplotype and prevalence analysis could not detect any differences between the type 2 diabetes mellitus patients and normal controls. CONCLUSION: The 24 mtDNA SNPs were not associated with type 2 diabetes mellitus risk in our Korean sample. The results of the present study support the possibility that mtDNA SNPs have a differential effect on the risk of type 2 diabetes mellitus according to geographical origin.
Matrix Metalloproteinase-3 Gene Polymorphism is Associated with Coronary Artery Calcification Scores in Patients with Type 2 Diabetes Mellitus.
Sang Wook Kim, Eun Hee Cho
Korean Diabetes J. 2009;33(2):113-123.   Published online April 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.2.113
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AbstractAbstract PDF
BACKGROUND
Matrix metalloproteinase-3 (MMP-3) is expressed in human coronary atherosclerotic lesions and is known to be involved in the degradation of plaque. This study examines the association of MMP-3 gene promoter 5A/6A and -709A>G polymorphisms with coronary artery calcium scores in type 2 diabetes patients. METHODS: The study comprises 140 type 2 diabetes patients aged 34~85 years, who showed no evidence of clinical cardiovascular disease before recruitment. Recruitment was based on patient's coronary artery calcium (CAC) scores and polymorphisms were identified. RESULTS: Multiple regression analysis showed that the CAC scores were significantly associated with age (P = 0.008), waist circumference (P = 0.03), duration of diabetes (P = 0.003) and the serum creatinine level (P = 0.012). MMP-3 5A/6A and -709A>G polymorphisms were not associated with CAC across all subjects. However, in the subgroup with a duration of diabetes over 10 years, MMP-3 -709A>G were significantly associated with CAC (P = 0.037) adjusted for age, body mass index, waist circumference and duration of diabetes. CONCLUSION: Our data suggest that the CAC scores in patients with type 2 diabetes were related with age, waist circumference, duration of diabetes and higher serum creatinine levels. MMP-3 polymorphisms with -709A>G are associated with high CAC in patients with a duration of diabetes over 10 years.
An Association between 609 C --> T Polymorphism in NAD(P)H: Quinone Oxidoreductase 1 (NQO1) Gene and Blood Glucose Levels in Korean Population.
Dohee Kim
Korean Diabetes J. 2009;33(1):24-30.   Published online February 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.1.24
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BACKGROUND
NAD(P)H: quinone oxidoreductase 1 (NQO1), which is an obligate two-electron reductase that utilizes NAD(P)H as an electron donor and is involved in the protection against oxidative stress, is likely involved in beta-cell destruction. We evaluated the frequency of the NQO1 polymorphism and its association with blood glucose levels. METHODS: Genotypes were determined using a polymerase chain reaction restriction fragment length polymorphism-based assay in 56 patients and 48 healthy subjects. Fasting blood glucose, insulin, and lipid profiles were measured and homeostasis model assessment (HOMA)-insulin resistance (IR) was calculated from fasting glucose and insulin levels in the healthy subjects. RESULTS: The genotype frequencies of NQO1 polymorphism were C/C (56.7%), C/T (42.3%), and T/T (1.0%). There were no associations between the NQO1 polymorphism and body mass index, blood pressure, lipid profile, HbA1c, postprandial glucose, and HOMA-IR. However, NQO1 mutants (C/T and T/T) showed weak but significantly higher fasting blood glucose levels compared with wild type (C/C). CONCLUSION: Our data suggest that NQO1 609 C --> T polymorphism may be associated with glucose metabolism.

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  • Association of Nuclear Factor-Erythroid 2-Related Factor 2, Thioredoxin Interacting Protein, and Heme Oxygenase-1 Gene Polymorphisms with Diabetes and Obesity in Mexican Patients
    Angélica Saraí Jiménez-Osorio, Susana González-Reyes, Wylly Ramsés García-Niño, Hortensia Moreno-Macías, Martha Eunice Rodríguez-Arellano, Gilberto Vargas-Alarcón, Joaquín Zúñiga, Rodrigo Barquera, José Pedraza-Chaverri
    Oxidative Medicine and Cellular Longevity.2016; 2016: 1.     CrossRef
Association Study of the Peroxisome Proliferators-Activated Receptor gamma2 Pro12Ala Polymorphism with Diabetic Nephropathy.
Kyu Ho Lee, Hee Seog Jeong, Khan Young Choi, Hyun Kim, Dal Sic Lee, Ji Young Kang, Hyun Jeong Jeon, Tae Keun Oh
Korean Diabetes J. 2008;32(5):402-408.   Published online October 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.5.402
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BACKGROUND
Peroxisome proliferators-activated receptor gamma (PPARgamma) is a member of the nuclear hormone receptor superfamily of ligand-activated transcription factors and known to play a role in regulating the expression of numerous genes involved in lipid metabolism, metabolic syndrome, inflammation, and atherosclerosis. The PPARgamma2 Pro12Ala polymorphism has recently been shown to be associated with diabetic nephropathy. In this study, we evaluated the relationship between PPARgamma2 Pro12Ala polymorphism and type 2 diabetic nephropathy whose duration of diabetes was over 10 years. METHODS: We conducted a case-control study, which enrolled 367 patients with type 2 diabetes. Genotyping of PPARgamma2 Pro12Ala polymorphism was performed using polymerase chain reaction followed by digestion with Hae III restriction enzyme. RESULTS: The genotype or allele frequencies of PPARgamma2 Pro12Ala polymorphism were not significantly different in diabetic patients with or without diabetic nephropathy. The genotype frequencies in terms of diabetic retinopathy and macrovascular complications such as coronary artery disease or stroke were not different either. Interestingly, nephropathy patients with Ala/Pro genotype showed lower C-peptide levels than those of Pro/Pro genotype. CONCLUSION: Our results suggest that PPARgamma2 Pro12Ala polymorphism is not associated with diabetic nephropathy in type 2 diabetic patients.
Association of the Polymorphisms in the PSMA6 (rs1048990) and PSMB5 (rs2230087) Genes with Type 2 Diabetes in Korean Subjects.
Hee Kyoung Kim, Su Won Kim, Yun Jeong Doh, Sae Rom Kim, Mi Kyung Kim, Keun Gyu Park, Hye Soon Kim, Kyong Soo Park, Min Yoo, Jung Guk Kim, Bo Wan Kim, In Kyu Lee
Korean Diabetes J. 2008;32(3):204-214.   Published online June 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.3.204
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AbstractAbstract PDF
BACKGROUND
The 26S ubiquitin-proteasome system (UPS) is a principal proteolytic pathway of intracellular molecules regulating apoptosis, cell cycle, cell proliferation or differentiation, inflammation and etc. The recent study suggests that the rs1048990 (C/G) polymorphism of the proteasome subunit alpha type 6 (PSMA6) gene is associated with the increase of the risk of myocardial infarction by the dysregulation of IkappaB degradation. We hypothesized that 26S UPS is important in the development of insulin resistance and type 2 diabetes (T2DM) by controlling the degradation of IkappaB and insulin receptor substances as a substrate. We therefore investigated whether the rs1048990 (C/G) polymorphism of PSMA6 gene and the rs2230087 (G/A) polymorphism of proteasome subunit beta type 5 gene (PSMB5), that is chymotrypsin-like protease determining the rate of proteolysis, are associated with susceptibility to T2DM in Korean subjects. METHODS: We examined the polymorphisms of these genes in 309 diabetic subjects and 170 non-diabetic controls. The polymorphisms of rs1048990 (C/G) and rs2230087 (G/A) were genotyped by real-time PCR. RESULTS: The frequency of the G allele of rs1048990 (C/G) and the A allele of rs2230087 (G/A) polymorphisms was significantly higher in diabetic patients (28% and 13%) compared to that in controls (13% and 1%; P = 0.000 and P = 0.000, respectively). Logistic regression analysis of the rs1048990 (C/G) polymorphism showed that the odds ratio (OR) (adjusted for age, smoking, waist circumference, fasting plasma glucose, systolic blood pressure, HDL-C, triglyceride, and total cholesterol) was 3.93 (95% confidence interval [CI], 2.35-6.59; P = 0.000) for the G allele and 5.09 (95% CI, 2.71-9.57; P = 0.000) for CG and GG genotype when compared with the CC genotype. Logistic regression analysis of the rs2230087 (G/A) polymorphism showed that the adjusted OR was 5.70 (95% CI, 1.63-19.98; P = 0.007) for the A allele and 6.08 (95% CI, 1.66-22.29; P = 0.006) for GA and AA genotype when compared with the GG genotype. In multiple logistic regression analysis with T2DM as the independent Variable rs1048990 (C/G) and rs2230087 (G/A) polymorphisms were the predictor for T2DM. CONCLUSION: We suggest that the G allele of rs1048990 (C/G) polymorphism and the A allele of rs2230087 (G/A) polymorphism may be genetic risk factor to type 2 diabetes mellitus in Korean subjects.

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  • Ubiquitin-proteasome system in diabetic retinopathy
    Zane Svikle, Beate Peterfelde, Nikolajs Sjakste, Kristine Baumane, Rasa Verkauskiene, Chi-Juei Jeng, Jelizaveta Sokolovska
    PeerJ.2022; 10: e13715.     CrossRef
  • 1,4‐Dihydropyridine derivatives without Ca2+‐antagonist activity up‐regulate Psma6 mRNA expression in kidneys of intact and diabetic rats
    Kristīne Ošiņa, Evita Rostoka, Jelizaveta Sokolovska, Natalia Paramonova, Egils Bisenieks, Gunars Duburs, Nikolajs Sjakste, Tatjana Sjakste
    Cell Biochemistry and Function.2016; 34(1): 3.     CrossRef
  • Genetic variations in the PSMA3, PSMA6 and PSMC6 genes are associated with type 1 diabetes in Latvians and with expression level of number of UPS-related and T1DM-susceptible genes in HapMap individuals
    Tatjana Sjakste, Natalia Paramonova, Kristine Osina, Kristine Dokane, Jelizaveta Sokolovska, Nikolajs Sjakste
    Molecular Genetics and Genomics.2016; 291(2): 891.     CrossRef
Association between Apolipoprotein E Polymorphism and Type 2 Diabetes in Subjects Aged 65 or Over.
You Jin Lee, Hak Chul Jang, Eun Hye Kim, Hye Jin Kim, Seok Bum Lee, Sung Hee Choi, Soo Lim, Kyoung Un Park, Young Joo Park, Ki Woong Kim
Korean Diabetes J. 2008;32(1):30-37.   Published online February 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.1.30
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AbstractAbstract PDF
BACKGROUND
Increased prevalence of diabetes in recent years is linked with increased cardiovascular morbidity and mortality. Apolipoprotein E (apo E) polymorphism is well known to be related to hyperlipidemia and coronary heart disease, but only a few studies investigated the association between apo E polymorphism and diabetes or insulin resistance. In Korea, two studies with relatively small subjects reported controversial results. Therefore, we investigated the association between apo E polymorphism and diabetes in elderly community population. METHODS: 982 elderly people aged 65 or over in Seongnam city were enrolled. We measured anthropometric variables and blood pressure and performed biochemical tests including fasting glucose, fasting insulin, HbA1c, and lipid profiles. Apo E polymorphism was determined by PCR-RFLP method. RESULTS: Frequencies of apo E isoforms and alleles were similar to those of other reports. Subjects with e4 allele had significantly higher total and LDL-cholesterol levels. However, there were no differences in cholesterol levels between normal subjects and diabetes. Diabetes was not related to apo E polymorphism. CONCLUSION: In Korean aged 65 or over, subjects with diabetes didn't have increased total or LDL-cholesterol, triglyceride, and decreased HDL-cholesterol levels. Diabetes and apo E polymorphism were not related.

Citations

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  • Association of APOE genotype with lipid profiles and type 2 diabetes mellitus in a Korean population
    Jung Yeon Seo, Byeong Ju Youn, Hyun Sub Cheong, Hyoung Doo Shin
    Genes & Genomics.2021; 43(7): 725.     CrossRef
  • Sarcopenia, Frailty, and Diabetes in Older Adults
    Hak Chul Jang
    Diabetes & Metabolism Journal.2016; 40(3): 182.     CrossRef

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