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Chaurasiya A, Khilari AA, Kazi R, Jaiswal MR, Bhoite GM, Padwal MK, Momin AA, Shanmugam D, Kulkarni MJ. Nanopore Sequencing of RAGE Gene Polymorphisms and Their Association with Type 2 Diabetes. ACS OMEGA 2023; 8:25727-25738. [PMID: 37521601 PMCID: PMC10373474 DOI: 10.1021/acsomega.3c00297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 05/22/2023] [Indexed: 08/01/2023]
Abstract
The receptor for advanced glycation end products (RAGE) is a transmembrane protein that interacts with its ligands, advanced glycation end products (AGEs). AGEs are elevated in diabetes and diabetic complications, leading to increased oxidative stress and activation of pro-inflammatory pathways facilitated by AGE-RAGE signaling. Polymorphisms in the RAGE gene can potentially affect AGE-RAGE interaction and its downstream signaling, which plays a crucial role in the progression of diabetes and its complications. In this study, we used nanopore sequencing for genotyping of RAGE polymorphism and identified a maximum number of 33 polymorphisms, including two previously unreported novel mutations in a cohort of healthy, type 2 diabetics without nephropathy and type 2 diabetics with nephropathy in order to identify associations. Two novel RAGE polymorphisms in the intron 8 and 3'UTR region at genomic locations 32181834 and 32181132, respectively, were detected with a low frequency. For four previously reported polymorphisms, cross-validation by PCR-RFLP showed 99.75% concordance with nanopore sequencing. Analysis of genotype distribution and allele frequencies revealed that five single nucleotide polymorphisms, i.e., rs1800625, rs3131300, rs3134940, rs2070600, and rs9391855, were associated with an increased risk for type 2 diabetes.
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Affiliation(s)
- Arvindkumar
H. Chaurasiya
- Biochemical
Sciences Division, CSIR-National Chemical
Laboratory, Pune 411008, India
- Academy
of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Ajinkya A. Khilari
- Biochemical
Sciences Division, CSIR-National Chemical
Laboratory, Pune 411008, India
- Academy
of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Rubina Kazi
- Biochemical
Sciences Division, CSIR-National Chemical
Laboratory, Pune 411008, India
| | - Meera R. Jaiswal
- Biochemical
Sciences Division, CSIR-National Chemical
Laboratory, Pune 411008, India
- Academy
of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Gouri M. Bhoite
- Department
of Biochemistry, Bharati Vidyapeeth (DTU)
Dental College, Pune 411043, India
| | - Meghana K. Padwal
- Department
of Biochemistry, Bharati Vidyapeeth (DTU)
Medical College, Pune 411043, India
| | - Abdulrahaman A. Momin
- Department
of Biochemistry, Bharati Vidyapeeth (DTU)
Medical College, Pune 411043, India
| | - Dhanasekaran Shanmugam
- Biochemical
Sciences Division, CSIR-National Chemical
Laboratory, Pune 411008, India
- Academy
of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Mahesh J. Kulkarni
- Biochemical
Sciences Division, CSIR-National Chemical
Laboratory, Pune 411008, India
- Academy
of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
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Wang J, Liu JJ, Gurung RL, Liu S, Lee J, M Y, Ang K, Shao YM, Tang JIS, Benke PI, Torta F, Wenk MR, Tavintharan S, Tang WE, Sum CF, Lim SC. Clinical variable-based cluster analysis identifies novel subgroups with a distinct genetic signature, lipidomic pattern and cardio-renal risks in Asian patients with recent-onset type 2 diabetes. Diabetologia 2022; 65:2146-2156. [PMID: 35763031 PMCID: PMC9630229 DOI: 10.1007/s00125-022-05741-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/25/2022] [Indexed: 01/11/2023]
Abstract
AIMS/HYPOTHESIS We sought to subtype South East Asian patients with type 2 diabetes by de novo cluster analysis on clinical variables, and to determine whether the novel subgroups carry distinct genetic and lipidomic features as well as differential cardio-renal risks. METHODS Analysis by k-means algorithm was performed in 687 participants with recent-onset diabetes in Singapore. Genetic risk for beta cell dysfunction was assessed by polygenic risk score. We used a discovery-validation approach for the lipidomics study. Risks for cardio-renal complications were studied by survival analysis. RESULTS Cluster analysis identified three novel diabetic subgroups, i.e. mild obesity-related diabetes (MOD, 45%), mild age-related diabetes with insulin insufficiency (MARD-II, 36%) and severe insulin-resistant diabetes with relative insulin insufficiency (SIRD-RII, 19%). Compared with the MOD subgroup, MARD-II had a higher polygenic risk score for beta cell dysfunction. The SIRD-RII subgroup had higher levels of sphingolipids (ceramides and sphingomyelins) and glycerophospholipids (phosphatidylethanolamine and phosphatidylcholine), whereas the MARD-II subgroup had lower levels of sphingolipids and glycerophospholipids but higher levels of lysophosphatidylcholines. Over a median of 7.3 years follow-up, the SIRD-RII subgroup had the highest risks for incident heart failure and progressive kidney disease, while the MARD-II subgroup had moderately elevated risk for kidney disease progression. CONCLUSIONS/INTERPRETATION Cluster analysis on clinical variables identified novel subgroups with distinct genetic, lipidomic signatures and varying cardio-renal risks in South East Asian participants with type 2 diabetes. Our study suggests that this easily actionable approach may be adapted in other ethnic populations to stratify the heterogeneous type 2 diabetes population for precision medicine.
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Affiliation(s)
- Jiexun Wang
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Republic of Singapore
| | - Jian-Jun Liu
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Republic of Singapore
| | - Resham L Gurung
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Republic of Singapore
| | - Sylvia Liu
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Republic of Singapore
| | - Janus Lee
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Republic of Singapore
| | - Yiamunaa M
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Republic of Singapore
| | - Keven Ang
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Republic of Singapore
| | - Yi Ming Shao
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Republic of Singapore
| | - Justin I-Shing Tang
- Department of Medicine, Khoo Teck Puat Hospital, Singapore, Republic of Singapore
| | - Peter I Benke
- Lipidomics Incubator, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Federico Torta
- Lipidomics Incubator, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Markus R Wenk
- Lipidomics Incubator, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | | | - Wern Ee Tang
- National Healthcare Group Polyclinic, Singapore, Republic of Singapore
| | - Chee Fang Sum
- Diabetes Centre, Admiralty Medical Centre, Singapore, Republic of Singapore
| | - Su Chi Lim
- Diabetes Centre, Admiralty Medical Centre, Singapore, Republic of Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore.
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Republic of Singapore.
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Polymorphisms and Gene-Gene Interaction in AGER/IL6 Pathway Might Be Associated with Diabetic Ischemic Heart Disease. J Pers Med 2022; 12:jpm12030392. [PMID: 35330392 PMCID: PMC8950247 DOI: 10.3390/jpm12030392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/10/2022] [Accepted: 02/22/2022] [Indexed: 02/05/2023] Open
Abstract
Background: Although the genetic susceptibility to diabetes and ischemic heart disease (IHD) has been well demonstrated, studies aimed at exploring gene variations associated with diabetic IHD are still limited; Methods: Our study included 204 IHD cases who had been diagnosed with diabetes before the diagnosis of IHD and 882 healthy controls. Logistic regression was used to find the association of candidate SNPs and polygenic risk score (PRS) with diabetic IHD. The diagnostic accuracy was represented with AUC. Generalized multifactor dimensionality reduction (GMDR) was used to illustrate gene-gene interactions; Results: For IL6R rs4845625, the CT and TT genotypes were associated with a lower risk of diabetic IHD than the CC genotype (OR = 0.619, p = 0.033; OR = 0.542, p = 0.025, respectively). Haplotypes in the AGER gene (rs184003-rs1035798-rs2070600-rs1800624) and IL6R gene (rs7529229-rs4845625-rs4129267-rs7514452-rs4072391) were both significantly associated with diabetic IHD. PRS was associated with the disease (OR = 1.100, p = 0.005) after adjusting for covariates, and the AUC were 0.763 (p < 0.001). The GMDR analysis suggested that rs184003 and rs4845625 were the best interaction model after permutation testing (p = 0.001) with a cross-validation consistency of 10/10; Conclusions: SNPs and haplotypes in the AGER and IL6R genes and the interaction of rs184003 and rs4845625 were significantly associated with diabetic IHD.
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Gurung RL, Dorajoo R, M Y, Wang L, Liu S, Liu JJ, Shao YM, Chen Y, Sim X, Ang K, Subramaniam T, Tang WE, Sum CF, Liu JJ, Lim SC. Association of leukocyte telomere length with chronic kidney disease in East Asians with type 2 diabetes: a Mendelian randomization study. Clin Kidney J 2021; 14:2371-2376. [PMID: 34754432 PMCID: PMC8573005 DOI: 10.1093/ckj/sfab067] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 03/11/2021] [Indexed: 12/26/2022] Open
Abstract
Background Chronic kidney disease (CKD) is common among people with type 2 diabetes (T2D), and increases the risk of kidney failure and cardiovascular diseases. Shorter leukocyte telomere length (LTL) is associated with CKD in patients with T2D. We previously reported single-nucleotide polymorphisms (SNPs) associated with LTL in an Asian population. In this study, we elucidated the association of these SNPs with CKD in patients with T2D using the Mendelian randomization (MR) approach. Methods The cross-sectional association of 16 LTL SNPs with CKD, defined as an estimated glomerular filtration rate of <60 mL/min/1.73 m2, was assessed among 4768 (1628 cases and 3140 controls) participants in the Singapore Study of Macro-angiopathy and Micro-vascular Reactivity in T2D and Diabetic Nephropathy cohorts. MR analysis was performed using the random-effect inverse-variance weighted (IVW) method, the weighted median, MR-Egger and Radial MR adjusted for age and sex-stratified by cohorts and ethnicity (Chinese and Malays), then meta-analyzed. Results Genetically determined shorter LTL was associated with increased risk of CKD in patients with T2D (meta-IVW adjusted odds ratio = 1.51, 95% confidence interval 1.12–2.12, P = 0.007, Phet = 0.547). Similar results were obtained following sensitivity analysis. MR-Egger analysis (intercept) suggested no evidence of horizontal pleiotropy (β = 0.010, P = 0.751). Conclusions Our findings suggest that genetically determined LTL is associated with CKD in patients with T2D. Further studies are warranted to elucidate the causal role of telomere length in CKD progression.
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Affiliation(s)
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore
| | - Yiamunaa M
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore
| | - Ling Wang
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore
| | - Sylvia Liu
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore
| | - Jian-Jun Liu
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore
| | - Yi Ming Shao
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore
| | - Yuqing Chen
- Saw Swee Hock School of Public Health, Singapore
| | - Xueling Sim
- Saw Swee Hock School of Public Health, Singapore
| | - Keven Ang
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore
| | | | | | - Chee Fang Sum
- Diabetes Centre, Admiralty Medical Centre, Singapore
| | - Jian-Jun Liu
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore
| | - Su Chi Lim
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore
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Li M, Wu M, Qin Y, Zhou J, Su J, Pan E, Zhang Q, Zhang N, Sheng H, Dong J, Tong Y, Shen C. ACTB Variants Confer the Genetic Susceptibility to Diabetic Kidney Disease in a Han Chinese Population. Front Genet 2019; 10:663. [PMID: 31396261 PMCID: PMC6664243 DOI: 10.3389/fgene.2019.00663] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Accepted: 06/24/2019] [Indexed: 11/16/2022] Open
Abstract
Beta-actin (ACTB) loss-of-function mutations result in a pleiotropic developmental disorder of kidney. The present study aims to explore whether the common variants at the ACTB gene contribute to diabetic kidney disease (DKD) susceptibility in patients with type 2 diabetes mellitus (T2DM). From the baseline population of 20,340 diabetic patients, 1,510 DKD cases and 1,510 age-matched T2DM controls were selected. All subjects were Han Chinese. Three tagging single nucleotide polymorphisms (SNPs), rs852423, rs852426, and rs2966449, at the ACTB gene were genotyped. Logistic regression was performed to estimate the association with DKD. SNPs, rs852426 and rs2966449, were significantly associated with DKD [additive model; odds ratio (OR), 1.217 and 1.151; P = 0.001 and 0.018, respectively]. The association of rs852426 with DKD still remained statistically significant after Bonferroni correction and particularly significant in the population older than 70 years rather than the 70 years or younger (P = 0.047 for heterogeneity test). Furthermore, the association of rs852426 with DKD was observed in populations of male and females without smoking, drinking, and with duration for T2DM 10–20 years. The association of rs2966449 with DKD was also found in the populations older than 70 years, male, not smoking, not drinking, and with duration for T2DM over 20 years. The estimated glomerular filtration rate (eGFR) levels of the individuals with TT or CC genotypes of rs2966449 were significantly lower than that of TC genotype in DKD cases (P = 0.021). The present study provides evidence that the ACTB variants, i.e., rs852426 and rs2966449, may confer the genetic susceptibility to DKD in a Han Chinese population.
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Affiliation(s)
- Mengxia Li
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ming Wu
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Yu Qin
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jinyi Zhou
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jian Su
- Department of Chronic Disease Prevention and Control, Huai'an City Center for Disease Control and Prevention, Huai'an, China
| | - Enchun Pan
- Department of Chronic Disease Prevention and Control, Huai'an City Center for Disease Control and Prevention, Huai'an, China
| | - Qin Zhang
- Department of Chronic Disease Prevention and Control, Huai'an City Center for Disease Control and Prevention, Huai'an, China
| | - Ning Zhang
- Changshu County Center for Disease Control and Prevention, Suzhou, China
| | - Hongyan Sheng
- Changshu County Center for Disease Control and Prevention, Suzhou, China
| | - Jiayi Dong
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ye Tong
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Chong Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
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Gu HF. Genetic and Epigenetic Studies in Diabetic Kidney Disease. Front Genet 2019; 10:507. [PMID: 31231424 PMCID: PMC6566106 DOI: 10.3389/fgene.2019.00507] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 05/08/2019] [Indexed: 01/19/2023] Open
Abstract
Chronic kidney disease is a worldwide health crisis, while diabetic kidney disease (DKD) has become the leading cause of end-stage renal disease (ESRD). DKD is a microvascular complication and occurs in 30–40% of diabetes patients. Epidemiological investigations and clinical observations on the familial clustering and heritability in DKD have highlighted an underlying genetic susceptibility. Furthermore, DKD is a progressive and long-term diabetic complication, in which epigenetic effects and environmental factors interact with an individual’s genetic background. In recent years, researchers have undertaken genetic and epigenetic studies of DKD in order to better understand its molecular mechanisms. In this review, clinical material, research approaches and experimental designs that have been used for genetic and epigenetic studies of DKD are described. Current information from genetic and epigenetic studies of DKD and ESRD in patients with diabetes, including the approaches of genome-wide association study (GWAS) or epigenome-wide association study (EWAS) and candidate gene association analyses, are summarized. Further investigation of molecular defects in DKD with new approaches such as next generation sequencing analysis and phenome-wide association study (PheWAS) is also discussed.
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Affiliation(s)
- Harvest F Gu
- Center for Pathophysiology, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
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7
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Dorajoo R, Chang X, Gurung RL, Li Z, Wang L, Wang R, Beckman KB, Adams-Haduch J, M Y, Liu S, Meah WY, Sim KS, Lim SC, Friedlander Y, Liu J, van Dam RM, Yuan JM, Koh WP, Khor CC, Heng CK. Loci for human leukocyte telomere length in the Singaporean Chinese population and trans-ethnic genetic studies. Nat Commun 2019; 10:2491. [PMID: 31171785 PMCID: PMC6554354 DOI: 10.1038/s41467-019-10443-2] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 05/09/2019] [Indexed: 01/02/2023] Open
Abstract
Genetic factors underlying leukocyte telomere length (LTL) may provide insights into telomere homeostasis, with direct links to disease susceptibility. Genetic evaluation of 23,096 Singaporean Chinese samples identifies 10 genome-wide loci (P < 5 × 10-8). Several of these contain candidate genes (TINF2, PARP1, TERF1, ATM and POT1) with potential roles in telomere biology and DNA repair mechanisms. Meta-analyses with additional 37,505 European individuals reveals six more genome-wide loci, including associations at MPHOSPH6, NKX2-3 and TYMS. We demonstrate that longer LTL associates with protection against respiratory disease mortality [HR = 0.854(0.804-0.906), P = 1.88 × 10-7] in the Singaporean Chinese samples. We further show that the LTL reducing SNP rs7253490 associates with respiratory infections (P = 7.44 × 10-4) although this effect may not be strongly mediated through LTL. Our data expands on the genetic basis of LTL and may indicate on a potential role of LTL in immune competence.
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Affiliation(s)
- Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore
| | - Xuling Chang
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
- Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, 119074, Singapore
| | - Resham Lal Gurung
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
| | - Zheng Li
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore
| | - Ling Wang
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15232, USA
| | - Kenneth B Beckman
- University of Minnesota Genomics Center, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Jennifer Adams-Haduch
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15232, USA
| | - Yiamunaa M
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
| | - Sylvia Liu
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
| | - Wee Yang Meah
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore
| | - Kar Seng Sim
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore
| | - Su Chi Lim
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
- Diabetes Centre, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549, Singapore
| | - Yechiel Friedlander
- School of Public Health and Community Medicine, Hebrew University of Jerusalem, Jerusalem, 12272, Israel
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15232, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549, Singapore
- Health Systems and Services Research, Duke-NUS Medical School Singapore, Singapore, 169857, Singapore
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore.
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore.
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore.
- Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, 119074, Singapore.
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Pathological Implications of Receptor for Advanced Glycation End-Product ( AGER) Gene Polymorphism. DISEASE MARKERS 2019; 2019:2067353. [PMID: 30863465 PMCID: PMC6378764 DOI: 10.1155/2019/2067353] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 01/01/2019] [Accepted: 01/15/2019] [Indexed: 12/12/2022]
Abstract
The receptor for advanced glycation end-products (RAGE) is a cell surface transmembrane multiligand receptor, encoded by the AGER gene. RAGE presents many transcripts, is expressed mainly in the lung, and involves multiple pathways (such as NFκB, Akt, p38, and MAP kinases) that initiate and perpetuate an unfavorable proinflammatory state. Due to these numerous functional activities, RAGE is implicated in multiple diseases. AGER is a highly polymorphic gene, with polymorphisms or SNP (single-nucleotide polymorphism) that could be responsible or co-responsible for disease development. This review was designed to shed light on the pathological implications of AGER polymorphisms. Five polymorphisms are described: rs2070600, rs1800624, rs1800625, rs184003, and a 63 bp deletion. The rs2070600 SNP may be associated with the development of human autoimmune disease, diabetes complications, cancer, and lung diseases such as chronic obstructive pulmonary disease and acute respiratory distress syndrome. The rs1800624 SNP involves AGER gene regulation and may be related to reduced risk of heart disease, cancer, Crohn's disease, and type 1 diabetes complications. The rs1800625 SNP may be associated with the development of diabetic retinopathy, cancer, and lupus but may be protective against cardiovascular risk. The rs184003 SNP seems related to coronary artery disease, breast cancer, and diabetes. The 63 bp deletion may be associated with reduced survival from heart diseases during diabetic nephropathy. Here, these potential associations between AGER polymorphisms and the development of diseases are discussed, as there have been conflicting findings on the pathological impact of AGER SNPs in the literature. These contradictory results might be explained by distinct AGER SNP frequencies depending on ethnicity.
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Genetic markers for urine haptoglobin is associated with decline in renal function in type 2 diabetes in East Asians. Sci Rep 2018; 8:5109. [PMID: 29572449 PMCID: PMC5865208 DOI: 10.1038/s41598-018-23407-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 03/05/2018] [Indexed: 11/08/2022] Open
Abstract
Urine haptoglobin (uHP) level prospectively predicts diabetic kidney disease (DKD) progression. Here, we aim to identify genetic determinants of uHP level and evaluate association with renal function in East Asians (EA) with type 2 diabetes (T2D). Genome-wide association study (GWAS) among 805 [236 Chinese (discovery) and 569 (57 Malay and 512 Chinese) (validation)] found that rs75444904/kgp16506790 variant was robustly associated with uHP level (MetaP = 1.21 × 10-60). rs75444904 correlates well with plasma HP protein levels and multimerization in EA but was not in perfect LD (r2 = 0.911 in Chinese, r2 = 0.536 in Malay) and is monomorphic in Europeans (1000 G data). Conditional probability analysis indicated weakening of effects but residual significant associations between rs75444904 and uHP when adjusted on HP structural variant (MetaP = 8.22 × 10-7). The rs75444904 variant was associated with DKD progression (OR = 1.77, P = 0.014) independent of traditional risk factors. In an additional validation-cohort of EA (410 end-stage renal disease (ESRD) cases and 1308 controls), rs75444904 was associated with ESRD (OR = 1.22, P = 0.036). Furthermore, increased risk of DKD progression (OR = 2.09, P = 0.007) with elevated uHP level through Mendelian randomisation analysis provide support for potential causal role of uHP in DKD progression in EA. However, further replication of our findings in larger study populations is warranted.
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Fasting blood soluble RAGE may be causally implicated in impaired glucose metabolism in Chinese patients with primary hypertension. Gene 2018; 639:11-17. [DOI: 10.1016/j.gene.2017.09.066] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Revised: 09/27/2017] [Accepted: 09/29/2017] [Indexed: 11/22/2022]
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Genetic Variants of the Receptor for Advanced Glycation End-products in Susceptibility to Type 2 Diabetes Mellitus in Primary Hypertensive Patients. Sci Rep 2017; 7:17207. [PMID: 29222432 PMCID: PMC5722821 DOI: 10.1038/s41598-017-17068-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Accepted: 11/16/2017] [Indexed: 01/21/2023] Open
Abstract
Diabetes mellitus is frequently comorbid with hypertension, which is approximately twice as common as diabetes mellitus in China. We designed a case-control association study to inspect the susceptibility of the receptor for advanced glycation end-products (RAGE) gene 6 variants to type 2 diabetes mellitus (T2DM) in 2199 patients with primary hypertension (1252 diabetic cases and 947 nondiabetic controls). The genotypes/alleles of −429T > C and 82Gly > Ser variants differed significantly between the two groups, and their associations with T2DM were significant after Bonferroni correction. Two variants, −374T > A and I/D, showed only marginal associations with T2DM. Haplotype analysis of above 4 significant variants indicated that a low-penetrance haplotype simultaneously bearing −429C and 82Ser alleles was overrepresented in cases relative to controls (4.75% vs. 1.72%, P < 0.001). Moreover, the predictive capability of 6 variants was significantly superior to available risk factors, with better goodness-of-fit. A predictive nomogram of 4 baseline risk factors and 2 variants of statistical significance was structured, with a good predictive accuracy (C-index = 0.761, P < 0.001). Taken together, our findings highlighted a contributory role of the RAGE gene, especially its two functional variants −429T > C and 82Gly > Ser, in susceptibility to T2DM in primary hypertensive patients, which may aid early detection and risk assessment for high-risk individuals.
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Inman CK, Aljunaibi A, Koh H, Abdulle A, Ali R, Alnaeemi A, Al Zaabi E, Oumeziane N, Al Bastaki M, Al-Houqani M, Al-Maskari F, Al Dhaheri A, Shah SM, Abdel Wareth L, Al Mahmeed W, Alsafar H, Al Anouti F, Al Hosani A, Haji M, Galani D, O'Connor MJ, Ahn J, Kirchhoff T, Sherman S, Hayes RB, Li H, Ramasamy R, Schmidt AM. The AGE-RAGE axis in an Arab population: The United Arab Emirates Healthy Futures (UAEHFS) pilot study. J Clin Transl Endocrinol 2017; 10:1-8. [PMID: 29204365 PMCID: PMC5691216 DOI: 10.1016/j.jcte.2017.08.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 07/31/2017] [Accepted: 08/06/2017] [Indexed: 12/18/2022] Open
Abstract
AIMS The transformation of the United Arab Emirates (UAE) from a semi-nomadic to a high income society has been accompanied by increasing rates of obesity and Type 2 diabetes mellitus. We examined if the AGE-RAGE (receptor for advanced glycation endproducts) axis is associated with obesity and diabetes mellitus in the pilot phase of the UAE Healthy Futures Study (UAEHFS). METHODS 517 Emirati subjects were enrolled and plasma/serum levels of AGE, carboxy methyl lysine (CML)-AGE, soluble (s)RAGE and endogenous secretory (es)RAGE were measured along with weight, height, waist and hip circumference (WC/HC), blood pressure, HbA1c, Vitamin D levels and routine chemistries. The relationship between the AGE-RAGE axis and obesity and diabetes mellitus was tested using proportional odds models and linear regression. RESULTS After covariate adjustment, AGE levels were significantly associated with diabetes status. Levels of sRAGE and esRAGE were associated with BMI and levels of sRAGE were associated with WC/HC. CONCLUSIONS The AGE-RAGE axis is associated with diabetes status and obesity in this Arab population. Prospective serial analysis of this axis may identify predictive biomarkers of obesity and cardiometabolic dysfunction in the UAEHFS.
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Affiliation(s)
- Claire K. Inman
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Abdullah Aljunaibi
- Department of Pediatrics, Zayed Military Hospital, Abu Dhabi, United Arab Emirates
| | - Hyunwook Koh
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Abdishakur Abdulle
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Raghib Ali
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Abdullah Alnaeemi
- Department of Cardiology, Zayed Military Hospital, Abu Dhabi, United Arab Emirates
| | - Eiman Al Zaabi
- Department of Pathology, Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates
| | | | | | - Mohammed Al-Houqani
- Department of Medicine, College of Medicine and Health Sciences, UAE University, Al-Ain, United Arab Emirates
| | - Fatma Al-Maskari
- Institute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain, United Arab Emirates
| | - Ayesha Al Dhaheri
- Department of Nutrition, College of Architecture, UAE University, Al-Ain, United Arab Emirates
| | - Syed M. Shah
- Institute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain, United Arab Emirates
| | - Laila Abdel Wareth
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Abu Dhabi, United Arab Emirates
| | - Wael Al Mahmeed
- Department of Cardiovascular Medicine, Cleveland Clinic, Abu Dhabi, United Arab Emirates
| | - Habiba Alsafar
- Center for Biotechnology, Khalifa University of Science, Technology & Research, Abu Dhabi, United Arab Emirates
- Biomedical Engineering Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Fatme Al Anouti
- College of Natural and Health Sciences, Zayed University, Abu Dhabi, United Arab Emirates
| | - Ayesha Al Hosani
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Muna Haji
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Divya Galani
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
| | | | - Jiyoung Ahn
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Tomas Kirchhoff
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Scott Sherman
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Richard B. Hayes
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Huilin Li
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Ravichandran Ramasamy
- Diabetes Research Program, Division of Endocrinology, Diabetes and Metabolism, Department of Medicine New York University School of Medicine, New York, NY, USA
| | - Ann Marie Schmidt
- Diabetes Research Program, Division of Endocrinology, Diabetes and Metabolism, Department of Medicine New York University School of Medicine, New York, NY, USA
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