The association between three promoter polymorphisms of IL-1 and stroke: A meta-analysis

Zou, Liwei; Zhao, Hong; Gong, Xijun; Jiang, Anhong; Guan, Song; Wang, Longsheng; Zheng, Suisheng

doi:10.1016/j.gene.2015.04.054

Cited by 13 publications

(10 citation statements)

References 41 publications

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“…However, the recessive model of PSMA6 (-C8G) gene polymorphism showed a protective level of association with susceptibility to IS. Our findings are consistent with the recently published meta-analysis of IL-1α showing no significant association with the risk of IS for C511T, however Zou et al (2015) concluded that IL-1α (-C889T) was found to be associated with the risk of IS ( Zou et al, 2015 ). Previous meta-analysis by Ye et al (2012) also showed no association for IL-1α (C889T and C511T) with the risk of IS in overall population.…”

Section: Discussionsupporting

confidence: 93%

Genetic association between inflammatory genes (IL-1α, CD14, LGALS2, PSMA6) and risk of ischemic stroke: A meta-analysis

Misra

Kumar

et al. 2016

Meta Gene

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BackgroundSequence variations in genes involved in inflammatory system are known to contribute to the risk of cerebrovascular diseases (CVD) including stroke. Very few number of studies have been published in the context of the association between Interleukin-1α(IL-1α), CD14 cell surface glycoprotein (CD14), Galectin-2-encoding gene (LGALS2)and proteasome subunit type 6 (PSMA6) gene polymorphisms with susceptibility to ischemic stroke (IS).ObjectiveThe present meta-analysis aimed to provide a comprehensive account of the association between IL-1α (-C889T and -C511T), CD14 (-C159T), LGALS2 (-C3279T) and PSMA6 (-C8G) gene polymorphisms and susceptibility to IS.MethodsA literature search for eligible genetic studies published before August 31, 2015 was conducted in the PubMed, Medline, EMBASE, OVID, and Google Scholar databases. Fixed or random effects models were used to estimate the Pooled Odds ratio (OR) and 95% confidence interval (CI) using RevMan 5.3 software.ResultsTotal 21 studies were included in our meta-analysis. No significant association was observed between IL-1α (-C889T) [OR = 1.18, 95% CI: 0.67–2.08, P = 0.58], IL-1α (-C511T) [OR = 0.95, 95% CI: 0.66–1.37, P = 0.77], LGALS2(-C2379T) [OR = 0.29, 95% CI: 0.02–4.26, P = 0.37] and CD14 (-C260T) [OR = 0.93, 95% CI: 0.77–1.11, P = 0. 42] gene polymorphisms and risk of IS. However, protective level of association was observed between PSMA6 (-C8G) gene polymorphism and susceptibility to IS under the recessive model [OR = 0.25, 95% CI: 0.08–0.72, P = 0.01].ConclusionOur meta-analysis shows that IL-1α (-C889T and -C511T), CD14 (-C159T), LGALS2 (-C3279T) and gene polymorphisms are not significantly associated with the risk of IS while PSMA6 (-C8G) gene polymorphism may play a protective role with the susceptibility of IS. Further prospective large epidemiological studies are needed to confirm these findings in different populations.

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Section: Discussionsupporting

confidence: 93%

Genetic association between inflammatory genes (IL-1α, CD14, LGALS2, PSMA6) and risk of ischemic stroke: A meta-analysis

Misra

Kumar

et al. 2016

Meta Gene

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“…The pathogenesis of stroke is complex and genetic factors play an important role in stroke susceptibility. The relationship between genes and stroke has been confirmed Brain and Behavior, doi: 10.1002/brb3.482 (7 of 11) in other meta-analysis, such as methylenetetrahydrofolate reductase (MTHFR), IL-1 and matrix metalloproteinases (MMP) (Li and Qin 2014;Wen et al 2014;Zou et al 2015). These meta-analysis revealed that genetic mutations were significant in stroke.…”

Section: Discussionmentioning

confidence: 68%

The association between vascular endothelial growth factor gene polymorphisms and stroke: a meta‐analysis

Qiu

Wang

et al. 2016

Brain and Behavior

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ObjectivesNumerous studies have investigated the relationships between vascular endothelial growth factor (VEGF) gene polymorphisms and stroke. However, their findings remain controversial. The objective of this study was to evaluate the relationships between VEGF gene polymorphisms and stroke by a meta‐analysis.Materials and methodsThe PubMed, Embase, China National Knowledge Infrastructure database, Wanfang Chinese database, and VIP Chinese database were systemically searched. Data were extracted by two independent reviewers, and pooled odds ratio (OR) with 95% confidence interval (CI) were calculated.ResultsTen studies were included, including a total of 2331 cases and 1814 controls for +936C>T, 3040 cases and 2649 controls for −1154G>A. Under the dominant and recessive models, respectively, the overall ORs and 95% CIs of +936 T were 1.44, 1.09–1.90, P = 0.01 (1.53, 1.14–2.05, P = 0.005, in Asians) and 1.19, 0.85–1.65, P = 0.31, and the overall ORs and 95% CIs of −1154 A were 0.98, 0.87–1.10, P = 0.75 and 0.95, 0.82–1.11, P = 0.53. No publication bias was found in this meta‐analysis.ConclusionsThe meta‐analysis showed that +936C>T may be a risk factor for stroke, especially in Asians, while −1154G>A was not associated with stroke.

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“…A meta-analysis by Zou et al (2015), in which 12 studies with 2814 cases and 2986 controls were included, declared no associations of IL-1RN polymorphisms on stroke risk. [ 41 ] However, stroke has a number of different subtypes. Both IS and hemorrhagic stroke were included in the previous meta-analysis.…”

Section: Discussionmentioning

confidence: 99%

Lack of association between interleukin-1 receptor antagonist gene 86-bp VNTR polymorphism and ischemic stroke

Yang

Wu²,

Wang³

et al. 2018

Medicine

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The association between three promoter polymorphisms of IL-1 and stroke: A meta-analysis

Cited by 13 publications

References 41 publications

Genetic association between inflammatory genes (IL-1α, CD14, LGALS2, PSMA6) and risk of ischemic stroke: A meta-analysis

Genetic association between inflammatory genes (IL-1α, CD14, LGALS2, PSMA6) and risk of ischemic stroke: A meta-analysis

The association between vascular endothelial growth factor gene polymorphisms and stroke: a meta‐analysis

Lack of association between interleukin-1 receptor antagonist gene 86-bp VNTR polymorphism and ischemic stroke

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