An Exploratory Pilot Study of Genetic Marker for IgE-Mediated Allergic Diseases with Expressions of FcεR1α and Cε

Liao, En-Chih; Chang, Ching-Yun; Hsieh, Chia‐Wei; Yu, Shyr-Shen; Yin, Sui-Chu; Tsai, Jaw‐Ji

doi:10.3390/ijms16059504

Cited by 7 publications

(7 citation statements)

References 21 publications

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“…Eosinophils are components of white blood cells of the immune defense system, and play a role in evolution of inflammation and disease [ 55 , 56 ]. FCER1A (Fc fragment of IgE receptor Ia) is an IgE receptor (immunoglobulin receptor), which is the initiating factor of allergic reactions and plays a role in allergic inflammation [ 57 , 58 ]. The interaction between FCER1B and other immunoglobulin-related inflammatory genes will increase the risk of asthma [ 59 ].…”

Section: Discussionmentioning

confidence: 99%

Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis

Fan

Qiu-feng

et al. 2022

BMC Infect Dis

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Background Sepsis is an inflammatory response caused by infection with pathogenic microorganisms. The body shock caused by it is called septic shock. In view of this, we aimed to identify potential diagnostic gene biomarkers of the disease. Material and methods Firstly, mRNAs expression data sets of septic shock were retrieved and downloaded from the GEO (Gene Expression Omnibus) database for differential expression analysis. Functional enrichment analysis was then used to identify the biological function of DEmRNAs (differentially expressed mRNAs). Machine learning analysis was used to determine the diagnostic gene biomarkers for septic shock. Thirdly, RT-PCR (real-time polymerase chain reaction) verification was performed. Lastly, GSE65682 data set was utilized to further perform diagnostic and prognostic analysis of identified superlative diagnostic gene biomarkers. Results A total of 843 DEmRNAs, including 458 up-regulated and 385 down-regulated DEmRNAs were obtained in septic shock. 15 superlative diagnostic gene biomarkers (such as RAB13, KIF1B, CLEC5A, FCER1A, CACNA2D3, DUSP3, HMGN3, MGST1 and ARHGEF18) for septic shock were identified by machine learning analysis. RF (random forests), SVM (support vector machine) and DT (decision tree) models were used to construct classification models. The accuracy of the DT, SVM and RF models were very high. Interestingly, the RF model had the highest accuracy. It is worth mentioning that ARHGEF18 and FCER1A were related to survival. CACNA2D3 and DUSP3 participated in MAPK signaling pathway to regulate septic shock. Conclusion Identified diagnostic gene biomarkers may be helpful in the diagnosis and therapy of patients with septic shock.

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Section: Discussionmentioning

confidence: 99%

Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis

Fan

Qiu-feng

et al. 2022

BMC Infect Dis

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“…In this study, we used FceRI gene analysis to evaluate its expression during allergic reactions. Various previous studies also reported same methods to evaluated FceRI level by using gene expression in allergic reactions (Akizawa 2003;Liao et al 2015;Lora et al 2003). Additionally, both surface and mRNA expression of FceRI were upregulated by Th2 cytokines (i.e.…”

Section: Discussionmentioning

confidence: 94%

In vitro anti-inflammatory effects of curcumin on mast cell-mediated allergic responses via inhibiting FcεRI protein expression and protein kinase C delta translocation

et al. 2019

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Allergy is a hypersensitivity reaction when exposed to certain environmental substances. It shows high relation between immunoglobulin E (IgE) binding to a specific receptor (FceRI), proinflammatory cytokines, and mediators with allergic inflammation responses. Curcumin is a yellow pigment isolated from the turmeric. Curcumin possesses antioxidant and anti-inflammatory properties as well as exhibits significant chemopreventive activity. This study was aimed to investigate the in vitro assessment of the regulation of curcumin on allergic inflammatory responses on rat basophil leukemia (RBL)-2H3 and human pre-basophils (KU812) cell lines. Curcumin showed the activity against histamine and b-hexosaminidase releases from both IgE-mediated and A23187-induced cells degranulation. The morphological observation also confirmed that curcumin inhibits cells degranulation. IgE-mediated allergic responses and significantly induced mast cells intracellular reactive oxygen species (ROS) production. Curcumin reduced ROS production from IgE-mediated or A23187-induced cells degranulation. Curcumin also successfully reduced FceRI expressions and some proinflammatory cytokines, such as interleukin (IL)-4 and IL-13. Furthermore, curcumin inhibited protein kinase C (PKC)-d translocation from cytosolic to particulate.These results suggested that curcumin can alleviate both the IgE-mediated and calcium ionosphere A23187-stimulated allergic responses through reducing the release of the allergic mediators.

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“…ALOX15 and its metabolites are implicated in the pathophysiology of multiple inflammatory diseases, such as sepsis, arthritis, asthma, cystic fibrosis, and atherosclerosis [36]. FCER1A (Fc fragment of IgE receptor Ia, FCER1A), an immune-related protein, is the initiating factor of allergic reactions and plays a role in allergic inflammation [37,38]. FCER1A has been implicated in regulating metabolic processes and immune regulation in previous studies.…”

Section: Discussionmentioning

confidence: 99%

“…FCER1A has been implicated in regulating metabolic processes and immune regulation in previous studies. [38,39]. Additionally, asthma is more likely to occur when FCER1B and other immunoglobulinrelated inflammatory genes interact [39].…”

Section: Discussionmentioning

confidence: 99%

Whole transcriptome analysis to explore the impaired immunological features in critically ill elderly patients with sepsis

Chen

Jiang

et al. 2023

J Transl Med

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Background Sepsis is a frequent complication in critically ill patients, is highly heterogeneous and is associated with high morbidity and mortality rates, especially in the elderly population. Utilizing RNA sequencing (RNA-Seq) to analyze biological pathways is widely used in clinical and molecular genetic studies, but studies in elderly patients with sepsis are still lacking. Hence, we investigated the mortality-relevant biological features and transcriptomic features in elderly patients who were admitted to the intensive care unit (ICU) for sepsis. Methods We enrolled 37 elderly patients with sepsis from the ICU at Taichung Veterans General Hospital. On day-1 and day-8, clinical and laboratory data, as well as blood samples, were collected for RNA-Seq analysis. We identified the dynamic transcriptome and enriched pathways of differentially expressed genes between day-8 and day-1 through DVID enrichment analysis and Gene Set Enrichment Analysis. Then, the diversity of the T cell repertoire was analyzed with MiXCR. Results Overall, 37 patients had sepsis, and responders and non-responders were grouped through principal component analysis. Significantly higher SOFA scores at day-7, longer ventilator days, ICU lengths of stay and hospital mortality were found in the non-responder group, than in the responder group. On day-8 in elderly ICU patients with sepsis, genes related to innate immunity and inflammation, such as ZDHCC19, ALOX15, FCER1A, HDC, PRSS33, and PCSK9, were upregulated. The differentially expressed genes (DEGs) were enriched in the regulation of transcription, adaptive immune response, immunoglobulin production, negative regulation of transcription, and immune response. Moreover, there was a higher diversity of T-cell receptors on day-8 in the responder group, than on day-1, indicating that they had better regulated recovery from sepsis compared with the non-response patients. Conclusion Sepsis mortality and incidence were both high in elderly individuals. We identified mortality-relevant biological features and transcriptomic features with functional pathway and MiXCR analyses based on RNA-Seq data; and found that the responder group had upregulated innate immunity and increased T cell diversity; compared with the non-responder group. RNA-Seq may be able to offer additional complementary information for the accurate and early prediction of treatment outcome.

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An Exploratory Pilot Study of Genetic Marker for IgE-Mediated Allergic Diseases with Expressions of FcεR1α and Cε

Cited by 7 publications

References 21 publications

Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis

Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis

In vitro anti-inflammatory effects of curcumin on mast cell-mediated allergic responses via inhibiting FcεRI protein expression and protein kinase C delta translocation

Whole transcriptome analysis to explore the impaired immunological features in critically ill elderly patients with sepsis

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