Severity of COVID-19 patients with coexistence of asthma and vitamin D deficiency

Islam, M. Babul; Chowdhury, Utpala Nanda; Nashiry, Md. Asif; Moni, Mohammad Ali

doi:10.1016/j.imu.2022.101116

Cited by 8 publications

(4 citation statements)

References 76 publications

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“…It has also been stated that a deficiency of vitamin D is one of the causes of increased plasma glucose and dyslipidemia. Thus, in a study conducted on children with asthma in North America, it was observed that low levels of vitamin D were directly associated with an increased risk of hospitalization, resulting in a significant inverse relationship between serum vitamin D levels and the severity of asthma [37]. Other research studies hav e shown that the severity of COVID-19 was significantly different in patients based on their serum calcium levels; the lower the calcium level, the more severe the disease [38].…”

Section: Discussionmentioning

confidence: 99%

Assessment of Some Risk Factors and Biological Predictors in the Post COVID-19 Syndrome in Asthmatic Patients

Melinte,

Robu Popa,

Dobrin

et al. 2023

JPM

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Long COVID-19 or post-COVID infection (PCI) refers to the prolongation of symptoms in people who have been infected with the SARS-CoV-2 virus. Some meta-analysis studies have shown that patients with comorbidities, such as diabetes, obesity or hypertension, have severe complications after infection with the SARS-CoV-2 virus. The presence of chronic respiratory diseases such as bronchial asthma, COPD, pulmonary hypertension or cystic fibrosis increases the risk of developing severe forms of the COVID-19 disease. The risk of developing the severe form of COVID-19 was observed in patients with bronchial asthma being treated with corticosteroids, but also in those hospitalized with severe asthma. The biological variables determined in patients with PCI infection showed changes, especially in the hematological parameters, but also in some inflammatory markers. The aim of this study was to investigate some biological predictors in post-COVID-19 infection in patients with asthma and various comorbidities. In the case of patients diagnosed with moderate and severe forms of COVID-19, the variation in biological tests has shown high concentrations for serum glucose, lactate dehydrogenase and C-reactive protein. Additionally, the calculation of the relative risk (RR) based on the associated comorbidities in patients with PCI points to higher values for patients with asthma, hypertension, diabetes and obesity (RR moderate/severe form = 0.98/1.52), compared to patients with PCI and asthma (RR moderate/severe form = 0.36/0.63). Based on the statistical results, it can be concluded that the alanine aminotransferase (ALT) activity (p = 0.006) and the age of patients (p = 0.001) are the variables that contribute the most to the separation of the four classes of comorbidities considered.

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Section: Discussionmentioning

confidence: 99%

Assessment of Some Risk Factors and Biological Predictors in the Post COVID-19 Syndrome in Asthmatic Patients

Melinte,

Robu Popa,

Dobrin

et al. 2023

JPM

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“…DMBA treatment can result in differential expression of immune-related genes in mammary gland tissues from Wistar-Kyoto and Wistar-Furth rats [ 34 ]. While Tetradioxin hasn't been directly employed for therapeutic purposes, recent studies have unveiled its considerable potential in regulating immune systems among HIV-infected individuals as well as those afflicted by COVID-19 [ 35 , 36 ]. Given that these drugs find application in processes linked to inflammation, immune response, or tumorigenesis, and that the utilization of specific drugs correlates closely with the expression of immune-related genes, we subsequently employed the molecular docking method (MDM) to delve into the binding affinity between the aforementioned drugs and their associated HIGs.…”

Section: Discussionmentioning

confidence: 99%

Developing neural network diagnostic models and potential drugs based on novel identified immune-related biomarkers for celiac disease

Shen,

Wang,

et al. 2023

Hum Genomics

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Background As one of the most common intestinal inflammatory diseases, celiac disease (CD) is typically characterized by an autoimmune disorder resulting from ingesting gluten proteins. Although the incidence and prevalence of CD have increased over time, the diagnostic methods and treatment options are still limited. Therefore, it is urgent to investigate the potential biomarkers and targeted drugs for CD. Methods Gene expression data was downloaded from GEO datasets. Differential gene expression analysis was performed to identify the dysregulated immune-related genes. Multiple machine algorithms, including randomForest, SVM-RFE, and LASSO, were used to select the hub immune-related genes (HIGs). The immune-related genes score (IG score) and artificial neural network (ANN) were constructed based on HIGs. Potential drugs targeting HIGs were identified by using the Enrichr platform and molecular docking method. Results We identified the dysregulated immune-related genes at a genome-wide level and demonstrated their roles in CD-related immune pathways. The hub genes (MR1, CCL25, and TNFSF13B) were further screened by integrating several machine algorithms. Meanwhile, the CD patients were divided into distinct subtypes with either high- or low-immunoactivity using single-sample gene set enrichment analysis (ssGSEA) and consensus clustering. By constructing IG score based on HIGs, we found that patients with high IG score were mainly attributed to high-immunoactivity subgroups, which suggested a strong link between HIGs and immunoactivity of CD patients. In addition, the novel constructed ANN model showed the sound diagnostic ability of HIGs. Mechanistically, we validated that the HIGs play pivotal roles in regulating CD's immune and inflammatory state. Through targeting the HIGs, we also found potential drugs for anti-CD treatment by using the Enrichr platform and molecular docking method. Conclusions This study unveils the HIGs and elucidates the networks regulated by these genes in the context of CD. It underscores the pivotal significance of HIGs in accurately predicting the presence or absence of CD in patients. Consequently, this research offers promising prospects for the development of diagnostic biomarkers and therapeutic targets for CD.

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“…Bioinformatics and network based approaches provide insight that can be used to identify and analyze the comorbidity complexities (Moni et al, 2019 ; Nashiry A. et al, 2021 ; Nashiry M. A. et al, 2021 ; Islam et al, 2022 ). At the initial stage of this analysis, the datasets required in this work have been identified and collected.…”

Section: Methodsmentioning

confidence: 99%

Systems biology approach discovers comorbidity interaction of Parkinson's disease with psychiatric disorders utilizing brain transcriptome

Nashiry,

Sumi,

Alyami

et al. 2023

Front. Mol. Neurosci.

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Several studies found that most patients with Parkinson's disorder (PD) appear to have psychiatric symptoms such as depression, anxiety, hallucination, delusion, and cognitive dysfunction. Therefore, recognizing these psychiatrically symptoms of PD patients is crucial for both symptomatic therapy and better knowledge of the pathophysiology of PD. In order to address this issue, we created a bioinformatics framework to determine the effects of PD mRNA expression on understanding its relationship with psychiatric symptoms in PD patients. We have discovered a significant overlap between the sets of differentially expressed genes from PD exposed tissue and psychiatric disordered tissues using RNA-seq datasets. We have chosen Bipolar disorder and Schizophrenia as psychiatric disorders in our study. A number of significant correlations between PD and the occurrence of psychiatric diseases were also found by gene set enrichment analysis, investigations of the protein-protein interaction network, gene regulatory network, and protein-chemical agent interaction network. We anticipate that the results of this pathogenetic study will provide crucial information for understanding the intricate relationship between PD and psychiatric diseases.

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Severity of COVID-19 patients with coexistence of asthma and vitamin D deficiency

Cited by 8 publications

References 76 publications

Assessment of Some Risk Factors and Biological Predictors in the Post COVID-19 Syndrome in Asthmatic Patients

Assessment of Some Risk Factors and Biological Predictors in the Post COVID-19 Syndrome in Asthmatic Patients

Developing neural network diagnostic models and potential drugs based on novel identified immune-related biomarkers for celiac disease

Systems biology approach discovers comorbidity interaction of Parkinson's disease with psychiatric disorders utilizing brain transcriptome

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