| Literature DB >> 35441612 |
Alice Giotta Lucifero1, Matias Baldoncini2, Thomas Foiadelli3, Ilaria Brambilla4, Gabriele Savioli5, Renato Galzio6, Alvaro Campero7, Michael T Lawton8, Sabino Luzzi9.
Abstract
Introduction Intracranial aneurysms (IAs) are devastating cerebrovascular diseases with multifactorial etiology. The role of inflammation is indisputable, and interleukins are pivotal in supporting local inflammatory pathways and endothelial dysfunction at the aneurysm wall. In the light of insufficient evidence reported in the literature, this meta-analysis was aimed to investigate the genetic linkage between IL-1β (rs16944) -511C>T polymorphisms and IAs susceptibility. Methods A comprehensive online literature review was completed using the PubMed/Medline and Web of Science databases in accordance with the PRISMA guidelines. "Interleukin-1β," "IL-1β," "polymorphism," "intracranial aneurysm," and "subarachnoid hemorrhage" were the main keywords. Only human case-control studies, published from 2005 to 2021, written in English or translated, were screened. In the statistical analysis, we applied the fixed- and random-effect models, according to the level of heterogeneity, to assess the odds ratios (ORs) and 95% confidence intervals (CIs). RevMan 5.0 software was used for the statistics. Results Only 4 studies were eligible, with a total of 2070 patients, 1050 of which were assigned to the study group. Combined results showed a statistically significant association between the risk of IAs and -511CC (OR=0.79, 95% CI [0.65-0.95], p=0.01), and CT (OR=0.69, 95% CI [0.58-0.82], p<0.0001; OR=0.71, 95% CI [0.55-0.93], p=0.01) allele variations, both in the fixed- and random- models. No correlation was identified for the -511TT genotype (p=0.42; p=0.78). All the texts showed a low level of publication bias. Conclusion The present meta-analysis proved a potential role of IL-1β -511CC/CT genotypes in the pathogenesis of IAs. Additional studies are imperative to explain the underlying neuroimmune mechanisms, also allowing tailoring the potential inflammatory-target therapies for IAs.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35441612 PMCID: PMC9179052 DOI: 10.23750/abm.v92iS4.12668
Source DB: PubMed Journal: Acta Biomed ISSN: 0392-4203
Figure 1.PRISMA flow diagram on the meta-analysis selection process
Overview of the studies about IL-lß gene polymorphisms and IAs № of patients Age Gender Genotype
| Author, Year | Study type | Country Timeframe | IAs Control Group Group | IAs Group (average y-o) | Control Group (average y-o) | IAs Group[№of male (%)] | Control Group [№ of Polymorphism male (%)] | Allele | IAs Group (№ of patients) | Control Group (№ of patients) | NOS | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Slowik et al, 2006 ( | POS | Poland 2003-2005 | 231 231 | 49.9 | 50.4 | 99 ( | 99 ( | IL-lß -511C>T | CC | 100 | 111 | ||||
| CT | 99 | 106 | 7 | ||||||||||||
| TT | 32 | 14 | |||||||||||||
| Fontanella et al, 2010 ( | POS | Italy 2003-2007 | 215 155 | 55 | 53.7 | 74 ( | 50 ( | IL-lß -511C>T | CC | 94 | 64 | ||||
| CT | 88 | 68 | 7 | ||||||||||||
| TT | 33 | 23 | |||||||||||||
| Sathyan et al, 2015 ( | ROS | India 2014 | 220 250 | 41.2 |
| 123 ( |
| IL-lß -511C>T | CC | 79 | 90 | ||||
| CT | 82 | 116 | 6 | ||||||||||||
| TT | 33 | 37 | |||||||||||||
| Xu et al, 2021 ( | POS | China 2016-2020 | 384 384 | 57.1 | 66.5 | 117 ( | 117( | IL-lß -511C>T | CC | 44 | 88 | ||||
| CT | 128 | 187 | 6 | ||||||||||||
| TT | 76 | 109 | |||||||||||||
Figure 2.Forest plot for -511CC polymorphism
Figure 3.Forest plot for -511CT polymorphism
Figure 4.Forest plot for -511TT polymorphism Publication Bias
Figure 5.Funnel plot for -511 CC/CT/TT polymorphisms