The functional Q84R polymorphism of TRIB3 gene is associated with diabetic nephropathy in Chinese type 2 diabetic patients

Zhang, Weiwei; Yang, Zhen; Li, Xiaoyong; Wen, Jie; Zhang, Hongmei; Wang, Suijun; Wang, Xuanchun; Zhou, Houguang; Fang, Wenjun; Qin, Li; Su, Qing

doi:10.1016/j.gene.2014.11.031

Cited by 12 publications

(13 citation statements)

References 31 publications

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“…Genes LRP2, NGAL, IGFBP7, CUBN, CHIT1 are recently reported genes in diabetic nephropathy. The TRIB3 ‘G’ allele was identified as associated with diabetic nephropathy and it was suggested that this observation may help to improve targeting of therapy to diabetic patients 55 . Zhang et al .…”

Section: Resultsmentioning

confidence: 99%

T2DiACoD: A Gene Atlas of Type 2 Diabetes Mellitus Associated Complex Disorders

Rani

Mittal

Pramanik

et al. 2017

Sci Rep

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We performed integrative analysis of genes associated with type 2 Diabetes Mellitus (T2DM) associated complications by automated text mining with manual curation and also gene expression analysis from Gene Expression Omnibus. They were analysed for pathogenic or protective role, trends, interaction with risk factors, Gene Ontology enrichment and tissue wise differential expression. The database T2DiACoD houses 650 genes, and 34 microRNAs associated with T2DM complications. Seven genes AGER, TNFRSF11B, CRK, PON1, ADIPOQ, CRP and NOS3 are associated with all 5 complications. Several genes are studied in multiple years in all complications with high proportion in cardiovascular (75.8%) and atherosclerosis (51.3%). T2DM Patients’ skeletal muscle tissues showed high fold change in differentially expressed genes. Among the differentially expressed genes, VEGFA is associated with several complications of T2DM. A few genes ACE2, ADCYAP1, HDAC4, NCF1, NFE2L2, OSM, SMAD1, TGFB1, BDNF, SYVN1, TXNIP, CD36, CYP2J2, NLRP3 with details of protective role are catalogued. Obesity is clearly a dominant risk factor interacting with the genes of T2DM complications followed by inflammation, diet and stress to variable extents. This information emerging from the integrative approach used in this work could benefit further therapeutic approaches. The T2DiACoD is available at www.http://t2diacod.igib.res.in/.

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Section: Resultsmentioning

confidence: 99%

T2DiACoD: A Gene Atlas of Type 2 Diabetes Mellitus Associated Complex Disorders

Rani

Mittal

Pramanik

et al. 2017

Sci Rep

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“…This random- effects model was developed by DerSimonian and Laird, which robustly considers heterogeneity among studies [ 27 ]. We used a fixed effects model to obtain overall combined estimates for DN risk for studies that reported results separately for different pack-years of smoking [ 16 , 28 ], before and after diagnosis of diabetes [ 5 ], men and women [ 14 ] and whether there was different expression of the rs2295490 genotype [ 1 ]. For studies reporting risk estimates according to continuous measure of pack-years [ 10 ], we calculated the risk estimates according to the mean smoking dose.…”

Section: Methodsmentioning

confidence: 99%

“…The incidence of diabetes mellitus (DM) is increasing worldwide and not only does it affect quality of life for these patients but the condition also results in a huge economic burden for individuals and countries [ 1 ]. Diabetic nephropathy (DN) is one of the most common and severe microvascular complications of DM and is the leading cause of end-stage renal disease (ESRD) [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…However, data supporting this statement have been inconsistent. To the best of our knowledge, no systematic reviews or meta-analyses have assessed smoking as a risk factor for the development of DN, although there are many observational studies on this issue [ 1 , 5 , 10 – 25 ]. Therefore, to better characterize the association between tobacco smoking status and the development of DN in patients with type 1 (T1DM) and type 2 diabetes (T2DM), we conducted a comprehensive meta-analysis of observational studies.…”

Section: Introductionmentioning

confidence: 99%

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Smoking and the risk of diabetic nephropathy in patients with type 1 and type 2 diabetes: a meta-analysis of observational studies

2017

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BackgroundConflicting evidence exists for observational studies on whether tobacco smoking is a risk factor for diabetic nephropathy (DN) in patients with type 1 (T1DM) and type 2 diabetes mellitus (T2DM). In this meta-analysis, we aimed to assess the effects of tobacco smoking on the development of DN.Materials and MethodsWe searched MEDLINE and EMBASE databases from their inception to March 31st, 2017 for cross-sectional, case-control, and prospective cohort studies. We screened reference lists of retrieved articles. Summary relative risks (SRRs) and 95% confidence intervals (CIs) were calculated using a random-effects model.ResultsA total of nineteen observational studies (1 case-control, 8 cross-sectional and 10 prospective cohort studies) were identified, involving more than 78,000 participants and a total of 17,832 DN cases. Compared with never-smokers, there was an augmented SRR (95% CI) of DN in ever-smokers in patients with T1DM (1.31 [1.06–1.62]; P = 0.006) and T2DM (1.44 [1.24–1.67]; P < 0.001), respectively. In patients with T1DM, the SRR (95% CI) was 1.25 (0.86–1.83) for microalbuminuria only, 1.27 (1.10–1.48) for macroalbuminuria only, and 1.06 (0.97–1.15) for end-stage renal disease (ESRD). In patients with T2DM, the SRR (95% CI) associated with ever smoking was 1.46 (0.94–2.26) for microalbuminuria only, 1.72 (1.04–2.84) for macroalbuminuria only, and 1.10 (0.36–3.33) for ESRD.ConclusionsOur meta-analysis suggests evidence for cigarette smoking as an independent risk factor for the development of DN in patients with both T1DM and T2DM.

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“…s1 in the Supplementary Appendix), and it was consistent with the results reported previously (Patel et al, 2008). Data from Zhang et al have revealed that the induction of TRIB3 by high glucose was reversed to baseline by euglycemia achieved in vivo and in vitro (Zhang et al, 2015). It is suggested that the significant difference in blood glucose levels between intensive and standard glucose control groups may be a leading cause to the reverse role of TRIB3 (rs2295490) genetic variation between the two groups, while the exact mechanism needs to be confirmed by further research.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Human Tribbles Homolog 3 Genetic Variation (rs2295490) Effects on Type 2 Diabetes Patients with Glucose Control and Blood Pressure Lowering Treatment

Liu

Chen

et al. 2016

EBioMedicine

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Effects of human tribbles homolog 3 (TRIB3) genetic variation (c.251 A > G, Gln84Arg, rs2295490) on the clinical outcomes of vascular events has not been evaluated in patients with type 2 diabetes after blood pressure lowering and glucose controlling treatment. We did an analysis of a 2 × 2 factorial (glucose control axis and blood pressure lowering axis) randomized controlled clinical trial at 61 centers in China, with a follow-up period of 5 years. The major vascular endpoints were the composites of death from cardio-cerebral vascular diseases, non-fatal stroke and myocardial infraction, new or worsening renal and diabetic eye disease. A total of 1884 participants were included in our research with a 4.8 years median follow-up. For glucose lowering axis, patients with TRIB3 (rs2295490) AA (n = 609) genotype exhibited significantly reduced risk of major vascular events compared with AG + GG (n = 335) genotype carriers (Hazard ratio 0.72, 95% CI 0.55–0.94, p = 0.016), Paradoxically, the risk of vascular events were significantly increased in patients with AA (n = 621) compared to AG + GG (n = 319) genotype for intensive glucose control (Hazard ratio 1.46, 95% CI, 1.06–2.17, 35 p = 0.018). For blood pressure lowering axis, marginally significant difference was found between TRIB3 variant and coronary events. Our findings suggest that good glucose and blood pressure control exhibited greater benefits on vascular outcomes in patients with TRIB3 (rs2295490) G allele.

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The functional Q84R polymorphism of TRIB3 gene is associated with diabetic nephropathy in Chinese type 2 diabetic patients

Cited by 12 publications

References 31 publications

T2DiACoD: A Gene Atlas of Type 2 Diabetes Mellitus Associated Complex Disorders

T2DiACoD: A Gene Atlas of Type 2 Diabetes Mellitus Associated Complex Disorders

Smoking and the risk of diabetic nephropathy in patients with type 1 and type 2 diabetes: a meta-analysis of observational studies

Assessment of Human Tribbles Homolog 3 Genetic Variation (rs2295490) Effects on Type 2 Diabetes Patients with Glucose Control and Blood Pressure Lowering Treatment

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