scholarly journals VEGF Genetic Polymorphisms May Contribute to the Risk of Diabetic Nephropathy in Patients with Diabetes Mellitus: A Meta-Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Li Sun ◽  
Quan Yuan ◽  
Ning Cao ◽  
Wei Guo ◽  
Li Yao ◽  
...  

Objective. This meta-analysis aimed to investigate a comprehensive and reliable conclusion on the correlations of single nucleotide polymorphisms (SNPs) in the vascular endothelial growth factor (VEGF) gene with the risk of diabetic nephropathy (DN) in patients with diabetes mellitus (DM). Methods. We screened PubMed, Embase, Web of Science, Cochrane Library, CISCOM, CINAHL, Google Scholar, CBM, and CNKI databases for those relevant studies that investigated the association of 14,945 subjects with clinicopathological parameters in gastric cancer. Results. Eleven case-control studies that met all inclusion criteria were included in this meta-analysis. A total of 14,945 subjects were involved, including 3,049 DN patients and 11,896 DM patients. Our meta-analysis results revealed that VEGF rs2010963 and rs3025039 polymorphisms might contribute to the risk of DN in DM patients. Ethnicity-stratified analysis suggested that VEGF genetic polymorphisms were associated with an increased risk of DN among Asians. However, we found no correlations of VEGF genetic polymorphisms with susceptibility to DN among Caucasians. Conclusion. Our findings suggest that VEGF rs2010963 and rs3025039 polymorphisms may contribute to the risk of DN in DM patients, especially among Asians. Thus, VEGF genetic polymorphisms could be useful biomarkers for early diagnosis of DN in DM patients.

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Yashuo Wang ◽  
Wei Wang ◽  
Bin Wang ◽  
Yunyang Wang

Background. Our aim was to assess the risk of gastrointestinal (GI) hemorrhage associated with diabetes among patients taking low-dose aspirin (≤325 mg/day). Methods. A systematic search was conducted for publication in English and Chinese using term equivalents for “GI hemorrhage”, “aspirin”, and “diabetes mellitus” up till April 2020. Electronic databases include PUBMED, EMBASE, Cochrane Library databases, Chinese National Knowledge Infrastructure (CNKI), Wanfang Database, and VIP Database. Two independent authors searched databases and reviewed abstracts for comprehensive studies keeping adequate study quality. Data of weighted odds ratios were statistically evaluated and potential bias was checked. Results. Among 446 publications, eight case-control researches, including 1601 patients, were deemed for this meta-analysis. Patients with diabetes were associated with a higher risk of GI hemorrhage than patients without diabetes: the summary ORs were 3.10 (95% CI, 2.35–4.09). The heterogeneity of the reports was not significant (Chi2=3.39, P=0.85; I2=0%). Conclusion. The meta-analysis showed that aspirin users with diabetes were more likely to have GI hemorrhage. Hence, when treating diabetics with aspirin, the increased risk of GI bleeding should be taken in consideration.


2019 ◽  
Vol 8 (3) ◽  
pp. 175-184
Author(s):  
Akriti Gupta ◽  
Shubhangi Sharma ◽  
Saikrishna Lakkakula ◽  
Lakkakula VKS Bhaskar

Methylenetetrahydrofolate reductase (MTHFR) is involved in the homocysteine metabolism. Two common variants of MTHFR gene (677C>T and 1298A>C), have been reported to reduce the MTHFR enzyme activity and leading to plasma hyperhomocysteinemia. There are a number of recent case-control studies that investigated the association between the MTHFR polymorphism and diabetic nephropathy (DN), albeit with inconsistent results. The aim of this meta-analysis is to evaluate the associations between the genetic polymorphisms of MTHFR with susceptibility to DN. A literature search was conducted on PubMed, Embase and Google scholar from inception till March 18, 2019. For MTHFR 677C>T analysis, a total of 23 studies including DM controls (3095 cases and 3187 DM controls) and 12 studies including non-DM controls (1590 cases and 2052 nonDM controls) were taken. For MTHFR 1298A>C analysis, a total of 7 studies using DM controls (959 cases and 1209 DM controls) and 3 studies using non-DM controls (400 cases and 802 nonDM controls) were taken. Meta-analysis showed that mutant genotypes of the 677C>T (OR: 1.58; 95%CI: 1.16-2.14) and 1298A>C (OR: 1.38; 95%CI: 1.16-1.65) polymorphisms in the MTHFR gene were associated with increased risk of DN (diabetic kidney disease). MTHFR 677C>T and 1298A>C polymorphisms revealed significant heterogeneity between studies. Further, there was no evidence for publication bias for these polymorphisms. In conclusion, this meta-analysis provides strong evidence that MTHFR 677C>T and 1298A>C polymorphisms may be associated with increased risks of DN. However, further studies are still needed to accurately determine whether MTHFR genetic polymorphisms are associated with susceptibility to DN.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Yanli Liu ◽  
Yilong Pan ◽  
Yuyao Yin ◽  
Wenhao Chen ◽  
Xiaodong Li

Abstract Background The numbers of confirmed cases of coronavirus disease 2019 (COVID-19) and COVID-19 related deaths are still increasing, so it is very important to determine the risk factors of COVID-19. Dyslipidemia is a common complication in patients with COVID-19, but the association of dyslipidemia with the severity and mortality of COVID-19 is still unclear. The aim of this study is to analyze the potential association of dyslipidemia with the severity and mortality of COVID-19. Methods We searched the PubMed, Embase, MEDLINE, and Cochrane Library databases for all relevant studies up to August 24, 2020. All the articles published were retrieved without language restriction. All analysis was performed using Stata 13.1 software and Mantel–Haenszel formula with fixed effects models was used to compare the differences between studies. The Newcastle Ottawa scale was used to assess the quality of the included studies. Results Twenty-eight studies involving 12,995 COVID-19 patients were included in the meta-analysis, which was consisted of 26 cohort studies and 2 case–control studies. Dyslipidemia was associated with the severity of COVID-19 (odds ratio [OR] = 1.27, 95% confidence interval [CI] 1.11–1.44, P = 0.038, I2 = 39.8%). Further, patients with dyslipidemia had a 2.13-fold increased risk of death compared to patients without dyslipidemia (95% CI 1.84–2.47, P = 0.001, I2 = 66.4%). Conclusions The results proved that dyslipidemia is associated with increased severity and mortality of COVID-19. Therefore, we should monitor blood lipids and administer active treatments in COVID-19 patients with dyslipidemia to reduce the severity and mortality.


BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e020062 ◽  
Author(s):  
Xiaosu Bai ◽  
Zhiming Liu ◽  
Zhisen Li ◽  
Dewen Yan

ObjectivesSeveral patients with type 2 diabetes mellitus (T2DM) have depressive disorders. Whether insulin treatment was associated with increased risk of depression remains controversial. We performed a meta-analysis to evaluate the association of insulin therapy and depression.DesignA meta-analysis.MethodsWe conducted a systematic search of PubMed, PsycINFO, Embase and the Cochrane Library from their inception to April 2016. Epidemiological studies comparing the prevalence of depression between insulin users and non-insulin users were included. A random-effects model was used for meta-analysis. The adjusted and crude data were analysed.ResultsTwenty-eight studies were included. Of these, 12 studies presented with adjusted ORs. Insulin therapy was significantly associated with increased risk of depression (OR=1.41, 95% CI 1.13 to 1.76, p=0.003). Twenty-four studies provided crude data. Insulin therapy was also associated with an odds for developing depression (OR=1.59, 95% CI 1.41 to 1.80, p<0.001). When comparing insulin therapy with oral antidiabetic drugs, significant association was observed for adjusted (OR=1.42, 95% CI 1.08 to 1.86, p=0.008) and crude (OR=1.61, 95% CI 1.35 to 1.93, p<0.001) data.ConclusionsOur meta-analysis confirmed that patients on insulin therapy were significantly associated with the risk of depressive symptoms.


Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5654
Author(s):  
Agnieszka Barańska ◽  
Agata Błaszczuk ◽  
Wiesław Kanadys ◽  
Maria Malm ◽  
Katarzyna Drop ◽  
...  

To perform a meta-analysis of case-control studies that addressed the association between oral contraceptive pills (OC) use and breast cancer (BrCa), PubMED (MEDLINE), Embase, and the Cochrane Library were searched to identify case-control studies of OC and BrCa published between 2009 and 2020. We used the DerSimonian–Laird method to compute pooled odds ratios (ORs) and confidence intervals (CIs), and the Mantel–Haenszel test to assess the association between OC use and cancer. Forty-two studies were identified that met the inclusion criteria and we included a total of 110,580 women (30,778 into the BrCa group and 79,802 into the control group, of which 15,722 and 38,334 were using OC, respectively). The conducted meta-analysis showed that the use of OC was associated with a significantly increased risk of BrCa in general, OR = 1.15, 95% CI: 1.01 to 1.31, p = 0.0358. Regarding other risk factors for BrCa, we found that increased risk was associated significantly with early menarche, nulliparous, non-breastfeeding, older age at first parity, postmenopause, obesity, smoking, and family history of BrCa. Despite our conclusion that birth control pills increase the cancer risk being supported by extensive previous studies and meta-analyzes, further confirmation is required.


2011 ◽  
Vol 17 (4) ◽  
pp. 616-628 ◽  
Author(s):  
Hiroshi Noto ◽  
Tetsuro Tsujimoto ◽  
Takehiko Sasazuki ◽  
Mitsuhiko Noda

2010 ◽  
Vol 103 (04) ◽  
pp. 749-756 ◽  
Author(s):  
Francesca Cesari ◽  
Rosanna Abbate ◽  
Franco Gensini ◽  
George Broze ◽  
Sandra Fedi ◽  
...  

SummaryThe relationship between protein Z levels and thrombosis is controversial. We performed a systematic review and meta-analysis of the available studies to assess the association between protein Z and vascular thrombotic diseases. We conducted an electronic literature search through MedLine, Embase, Google Scholar, Web of Science, The Cochrane Library, bibliographies of retrieved articles and abstracts of congresses up to October, 2009. Studies were included if they analysed protein Z levels in patients with vascular thrombotic diseases. After the review process, 28 case-control studies (33 patient cohorts), including 4,218 patients with thrombotic diseases and 4,778 controls, were selected for analysis. The overall analysis using a random-effects model showed that low protein Z levels were associated with an increased risk of thrombosis (odds ratio [OR] 2.90, 95% confidence interval [CI] 2.05–4.12; p<0.00001). On subgroup analysis, a significant association was found between low protein Z levels and arterial vascular diseases (OR 2.67, 95%CI 1.60–4.48; p=0.0002), pregnancy complications (OR 4.17, 95%CI 2.31–7.52; p<0.00001), and venous thromboembolic diseases (OR 2.18, 95%CI 1.19–4.00; p=0.01). The results of this meta-analysis are consistent with a role for protein Z deficiency in thrombotic diseases, including arterial thrombosis, pregnancy complications and venous thromboembolism.


2021 ◽  
Vol 61 (1) ◽  
Author(s):  
Yu Fu ◽  
Qing Lin ◽  
Zhi-rong Zhang

Abstract Objective To more precisely estimate the association between the tumor necrosis factor ligand superfamily member 4 (TNFSF4) gene polymorphisms and systemic lupus erythematosus (SLE) susceptibility, we performed a meta-analysis on the association of the following single nucleotide polymorphisms (SNPs) of TNFSF4 with SLE: rs1234315, rs844648, rs2205960, rs704840, rs844644, rs10489265. Methods A literature-based search was conducted using PubMed, MEDLINE, Embase, Web of Science databases, and Cochrane Library databases to identify all relevant studies. And the association of TNFSF4 gene polymorphisms and SLE susceptibility was evaluated by pooled odds ratio (OR) with 95% confidence interval (CI). Results The meta-analysis produced overall OR of 1.42 (95% CI 1.36–1.49, P < 0.00001), 1.41 (95% CI 1.36–1.46, P < 0.00001) and 1.34 (95% CI 1.26–1.42, P < 0.00001) for the rs2205960, rs1234315 and rs704840 polymorphisms respectively, confirming these three SNPs confer a significant risk for the development of SLE. On the other hand, the meta-analysis produced overall OR of 0.92 (95% CI 0.70–1.21, P = 0.54) for the rs844644 polymorphism, suggesting no significant association. And no association was also found between either rs844648 1.11 (OR 1.11, 95% CI 0.86–1.43, P = 0.41) or rs10489265 (OR 1.17, 95% CI 0.94–1.47, P = 0.17) polymorphism with SLE susceptibility, respectively. Conclusions Our meta-analysis demonstrated that the TNFSF4 rs2205960, rs1234315 and rs844840 SNPs was significantly associated with an increased risk of SLE.


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