{"title":"Association between TNF-α and IFN-γ levels and severity of acute viral bronchiolitis.","authors":"Carolina Frizzera Dias, Maurício Menegatti Rigo, Daniele Cristovao Escouto, Bárbara Porto, Rita Mattiello","doi":"10.1080/08830185.2021.1889534","DOIUrl":null,"url":null,"abstract":"<p><p>Acute bronchiolitis caused by the respiratory syncytial virus triggers an inflammatory response with the production and release of several pro-inflammatory cytokines. Evidence suggests that their levels are associated with the severity of the infection. This systematic review and meta-analysis aim to assess whether the levels of TNF-α and IFN-γ are associated with the severity of acute viral bronchiolitis. We searched MEDLINE libraries (via PUBMED), EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL), Scientific Electronic Library Online (SciELO), Latin American Caribbean Health Sciences Literature (LILACS), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, and the gray literature through April 2020. Random effect models were used for general and subgroup analysis. In total, six studies were included with a total of 744 participants. The mean TNF-α levels between the severe group did not differ from the control group 0.14 (95% CI: -0.53 to 0.82, I<sup>2</sup> = 91%, <i>p</i> < 0.01); the heterogeneity was high. The results remained insignificant when the analyses were performed including only studies with high quality 0.25 (95% CI: -0.46 to 0.96, I<sup>2</sup> = 92%, <i>p</i> < 0.01) I<sup>2</sup> = 95%, <i>p</i> = 0.815), when TNF-α was nasal 0.60 (95% CI: -0.49 to 1.69), I<sup>2</sup> = 94%, <i>p</i> < 0.01), or serum -0.08 (95% CI: -0.48 to 0.31), I<sup>2</sup> = 29%, <i>p</i> = 0.24). In the analysis of studies measuring IFN-γ, there was also no significance of -0.67 (95% CI: -1.56 to 0.22, I<sup>2</sup> = 76%, <i>p</i> = 0.04). In conclusion, this meta-analysis suggests that the most severe patients do not have different mean TNF-α and IFN-γ values than patients with mild disease, but the heterogeneity of the studies was high. Supplemental data for this article is available online at https://doi.org/10.1080/08830185.2021.1889534.</p>","PeriodicalId":14333,"journal":{"name":"International Reviews of Immunology","volume":"40 6","pages":"433-440"},"PeriodicalIF":4.3000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08830185.2021.1889534","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Reviews of Immunology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/08830185.2021.1889534","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/2/22 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 3
Abstract
Acute bronchiolitis caused by the respiratory syncytial virus triggers an inflammatory response with the production and release of several pro-inflammatory cytokines. Evidence suggests that their levels are associated with the severity of the infection. This systematic review and meta-analysis aim to assess whether the levels of TNF-α and IFN-γ are associated with the severity of acute viral bronchiolitis. We searched MEDLINE libraries (via PUBMED), EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL), Scientific Electronic Library Online (SciELO), Latin American Caribbean Health Sciences Literature (LILACS), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, and the gray literature through April 2020. Random effect models were used for general and subgroup analysis. In total, six studies were included with a total of 744 participants. The mean TNF-α levels between the severe group did not differ from the control group 0.14 (95% CI: -0.53 to 0.82, I2 = 91%, p < 0.01); the heterogeneity was high. The results remained insignificant when the analyses were performed including only studies with high quality 0.25 (95% CI: -0.46 to 0.96, I2 = 92%, p < 0.01) I2 = 95%, p = 0.815), when TNF-α was nasal 0.60 (95% CI: -0.49 to 1.69), I2 = 94%, p < 0.01), or serum -0.08 (95% CI: -0.48 to 0.31), I2 = 29%, p = 0.24). In the analysis of studies measuring IFN-γ, there was also no significance of -0.67 (95% CI: -1.56 to 0.22, I2 = 76%, p = 0.04). In conclusion, this meta-analysis suggests that the most severe patients do not have different mean TNF-α and IFN-γ values than patients with mild disease, but the heterogeneity of the studies was high. Supplemental data for this article is available online at https://doi.org/10.1080/08830185.2021.1889534.
期刊介绍:
This review journal provides the most current information on basic and translational research in immunology and related fields. In addition to invited reviews, the journal accepts for publication articles and editorials on relevant topics proposed by contributors. Each issue of International Reviews of Immunology contains both solicited and unsolicited review articles, editorials, and ''In-this-Issue'' highlights. The journal also hosts reviews that position the authors'' original work relative to advances in a given field, bridging the gap between annual reviews and the original research articles.
This review series is relevant to all immunologists, molecular biologists, microbiologists, translational scientists, industry researchers, and physicians who work in basic and clinical immunology, inflammatory and allergic diseases, vaccines, and additional topics relevant to medical research and drug development that connect immunology to disciplines such as oncology, cardiovascular disease, and metabolic disorders.
Covered in International Reviews of Immunology: Basic and developmental immunology (innate and adaptive immunity; inflammation; and tumor and microbial immunology); Clinical research (mechanisms of disease in man pertaining to infectious diseases, autoimmunity, allergy, oncology / immunology); and Translational research (relevant to biomarkers, diagnostics, vaccines, and drug development).