Evaluation of miR-196a2 expression and Annexin A1 level in children with bronchial asthmaEvaluation of miR-196a2 expression and Annexin A1 level in children

Ibrahim, Alshaymaa A.; Ramadan, Abeer; Wahby, Aliaa Ahmed; Draz, Iman H.; Baroudy, Nevine R. El; Hamid, Tamer A. Abdel

doi:10.1016/j.aller.2019.11.002

Cited by 10 publications

(11 citation statements)

References 18 publications

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“…According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standard, 47 the standard literature selection process was conducted as shown in Figure 1 . We finally included 72 articles 21 , 22 , 25 – 31 , 48 …”

Section: Resultsmentioning

confidence: 99%

A comprehensive analysis of microRNAs as diagnostic biomarkers for asthma

Tan

et al. 2020

Ther Adv Respir Dis

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Background: It is unclear whether microRNAs could be a potential diagnostic biomarker for asthma or not. The objective of this study is to figure out the diagnostic value of microRNAs in asthma. Methods: Literature retrieval, screening of publications, specific data extraction, and quality evaluation were conducted according to the standard criteria. Stata 14.0 software was used to analyze the diagnostic value of microRNA for asthma, including the combined sensitivity (Sen), specificity (Spe), the area under the curve (AUC), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR). Results: A total of 72 studies, containing 4143 cases and 2188 controls, were included for this comprehensive analysis. None of the included publications were rated low in quality. We summarized that, compared with controls, more than 100 miRNAs were reported differently expressed in asthma, although the expression trends were inconsistent. Besides, there were five studies among these 72 articles that applied the diagnostic evaluation of microRNAs in asthma. We found that the pooled Sen, Spe, and AUC for the combination of miR-185-5p, miR-155, let-7a, miR-21, miR-320a, miR-1246, miR-144-5p, and miR-1165-3p in asthma were 0.87 (95%CI: 0.72–0.95), 0.84 (95%CI: 0.74–0.91), and 0.93 (95%CI: 0.89–0.94) individually, and the PLR, NLR, and DOR were 5.5 (95%CI: 3.1–9.7), 0.15 (95%CI: 0.07–0.36), and 35 (95%CI: 10–127) in asthma, respectively. In terms of subgroup analyses, we found that the Sen for these combination miRNAs from serum was higher than that in plasma, while the Spe in plasma worked better than that in serum. Furthermore, compared with children, the combination of above miRNAs from adults had higher Spe and similar Sen. Conclusions: From our analysis, the combination of miR-185-5p, miR-155, let-7a, miR-21, miR-320a, miR-1246, miR-144-5p, and miR-1165-3p from peripheral blood could potentially act as a diagnostic biomarker for asthma. The reviews of this paper are available via the supplemental material section.

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Section: Resultsmentioning

confidence: 99%

A comprehensive analysis of microRNAs as diagnostic biomarkers for asthma

Tan

et al. 2020

Ther Adv Respir Dis

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“…ANXA1 is an anti-inflammatory mediator that reduces neutrophil migration [ 31 ] and could be acting to regulate the inflammation generated by the high number of neutrophils in neutrophilic asthma. Many studies have demonstrated its important role in asthma, and even suggested ANXA1 as a therapeutic target for this pathology [ 32 , 33 , 34 ]. Nevertheless, just recently, it was shown to be a predictive protein for neutrophilic asthma, although it was not different between the other asthma phenotypes [ 13 ].…”

Section: Discussionmentioning

confidence: 99%

Exploring Inflammatory Asthma Phenotypes: Proteomic Signatures in Serum and Induced Sputum

Maia,

Cunha,

Santos

et al. 2024

IJMS

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Asthma drug responses may differ due to inflammatory mechanisms triggered by the immune cells in the pulmonary microenvironment. Thus, asthma phenotyping based on the local inflammatory profile may aid in treatment definition and the identification of new therapeutic targets. Here, we investigated protein profiles of induced sputum and serum from asthma patients classified into eosinophilic, neutrophilic, mixed granulocytic, and paucigranulocytic asthma, according to inflammatory phenotypes. Proteomic analyses were performed using an ultra-performance liquid chromatography (ultra-HPLC) system coupled to the Q Exactive Hybrid Quadrupole Orbitrap Mass Spectrometer. Fifty-two (52) proteins showed significant differences in induced sputum among the groups, while only 12 were altered in patients’ sera. Five proteins in the induced sputum were able to discriminate all phenotypic groups, while four proteins in the serum could differentiate all except the neutrophilic from the paucigranulocytic inflammatory pattern. This is the first report on comparative proteomics of inflammatory asthma phenotypes in both sputum and serum samples. We have identified a potential five-biomarker panel that may be able to discriminate all four inflammatory phenotypes in sputum. These findings not only provide insights into potential therapeutic targets but also emphasize the potential for personalized treatment approaches in asthma management.

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“…As far as we know, there is no study that prove that the Anxa1 gene may relate to the pathogenesis of AR. However, some relevant studies in asthma suggest that Anxa1 may play a role in AR (Cui and Yang, 2018;Lee et al, 2018;Ibrahim et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Hub Genes Identification in a Murine Model of Allergic Rhinitis Based on Bioinformatics Analysis

Shi

et al. 2020

Front. Genet.

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This study aimed to identify allergic rhinitis (AR)-related hub genes and functionally enriched pathways in a murine model. Dataset GSE52804 (including three normal controls and three AR mice) was downloaded from Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were identified. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and protein-protein interaction (PPI) analyses of DEGs were performed to identify the hub genes in AR. The DEGs were classified into different modules by using the weighted gene co-expression network analysis (WGCNA). Moreover, to verify the potential hub genes, nasal mucosa tissues were obtained from murine AR models (n = 5) and controls (n = 5), and qRT-PCR and Western blot were performed. In this study, a total of 634 DEGs were identified. They were significantly enriched in 14 GO terms, such as integral component of membrane, plasma membrane, and G-protein-coupled receptor signaling pathway. Meanwhile, there were eight terms of KEGG pathways significantly enriched, such as Olfactory transduction, Cytokine-cytokine receptor interaction, and TNF signaling pathway. The top 10 hub genes (Rtp1,

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Evaluation of miR-196a2 expression and Annexin A1 level in children with bronchial asthmaEvaluation of miR-196a2 expression and Annexin A1 level in children

Cited by 10 publications

References 18 publications

A comprehensive analysis of microRNAs as diagnostic biomarkers for asthma

A comprehensive analysis of microRNAs as diagnostic biomarkers for asthma

Exploring Inflammatory Asthma Phenotypes: Proteomic Signatures in Serum and Induced Sputum

Hub Genes Identification in a Murine Model of Allergic Rhinitis Based on Bioinformatics Analysis

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