A comprehensive review of COVID-19 symptoms and treatments in the setting of autoimmune diseases

Identification of Lytic Phages Against Multidrug-Resistant Klebsiella pneumoniae: Illuminating Hope on Antimicrobial-Resistance

Background

Lytic phages have been considered as a solution to mitigate the emergence of multidrug-resistant bacteria. Nevertheless, finding phages capable of targeting a broad host-range remains a significant challenge.

Materials and Methods

Our study introduces two lytic phages isolated from hospital effluent, which are active against extended-spectrum cephalosporin-resistant Klebsiella pneumoniae.

Results

Overnight coculture with host, two purified phage lysates yielded around 3.0 × 107 PFU/mL with an average 0.8 ± 0.2 mm diameter of clear, round, and non-halo plaques in both instances. The genomes of iPHaGe-KPN-11i (177,603 bp, 273 coding sequences [CDS]) and iPHaGe-KPN-12i (178,179 bp, 275 CDS) belong to the Pseudotevenvirus genus. Both phages have at least 120 genes with known functions, including 1 endolysin and 2 tRNAs, and are capable of lysing at least 12 distinct bacterial species in vitro.

Conclusions

Most phages are host-specific, whereas our phages can kill multiple bacterial species, enabling their potential use for a broad range of hosts.

Impact of COVID-19 pandemic on the incidence and severity of myasthenia gravis in Korea: using National Health Insurance Service database

Background

This study investigated the impact of COVID-19 pandemic on the incidence and severity of myasthenia gravis (MG) using the National Health Insurance Service (NHIS) database in Korea.

Methods

We analyzed data from patients with MG in the NHIS registry from 2015 to 2021. MG was defined as (1) patients aged ≥18 years with the G70.0 code, and (2) patients who visited tertiary hospitals regarldless of department in Korea (outpatient clinics at least twice or hospitalization at least once), and (3) patients who were prescribed pyridostigmine as MG medications at least once. We designated pre-COVID-19 as 2019 and post-COVID-19 as 2021 and analyzed the MG incidence and prevalence in 2019 and 2021. We compared the clinical data of patients with MG between the two years. MG exacerbation was defined as the administration of intravenous immunoglobulin or plasma exchange. Analysis of COVID-19 cases was conducted using an integrated database from the Korea Disease Control and Prevention Agency and NHIS. Patients with MG were divided into two groups according to COVID-19 status to compare their clinical characteristics.

Results

A total of 6,888 and 7,439 MG cases were identified in 2019 and 2021, respectively. The standardized incidence was 1.56/100,000 in 2019, decreasing to 1.21/100,000 in 2021. Although the frequency of MG exacerbations was higher in 2019, there were no differences in the number and duration of hospitalizations, duration of ICU stays, hostalization expense, and mortality between 2019 and 2021. Patients with MG and COVID-19 had a higher frequency of MG exacerbations than patients without COVID-19, but there were no differences in the number and duration of hospitalizations, hospitalization expense, and mortality.

Conclusion

This study was the first nationwide population-based epidemiological study of MG during COVID-19 pandemic in Korea. The incidence of MG decreased during COVID-19 pandemic, and the severity of MG was not affected by COVID-19.

SARS-CoV-2 spike protein accelerates systemic sclerosis by increasing inflammatory cytokines, Th17 cells, and fibrosis

BACKGROUND

Coronavirus disease 2019 (COVID-19) induces a dysfunctional immune response, inflammation, autoantibody production, and coagulopathy, which are symptoms that bear resemblance to those of autoimmune diseases, including systemic sclerosis (SSc).

METHODS

While there is a single case report suggesting an association between COVID-19 and SSc, the effects of COVID-19 on SSc are not yet fully understood. Human embryonic kidney 293 (HEK293) cells were transfected with the SARS-CoV-2 spike protein gene, in the presence of TGF-β. The expression levels of fibrosis-related proteins were measured via Western blotting. A bleomycin (BLM)-induced SSc mouse model was employed, wherein mice were injected with the gene encoding the SARS-CoV-2 spike protein and the ACE2 receptor. The levels of fibrosis, autoantibodies, thrombotic factors, and inflammatory cytokines in tissues and serum were analyzed.

RESULTS

In vitro, the expression levels of fibrosis marker proteins were elevated in the spike protein group compared to the control group. In vivo, the skin thickness of SSc mice increased following exposure to the SARS-CoV-2 spike protein. Furthermore, the levels of autoantibodies and thrombotic factors, such as anti-phospholipid antibodies (APLA), were significantly increased in the presence of the protein. Flow cytometry analysis revealed increased expression of the proinflammatory cytokine IL-17 in the skin, lungs, and blood. Moreover, tissue fibrosis and levels of inflammatory cytokines in skin and lung tissues were markedly escalated in SSc mice subjected to the protein.

CONCLUSION

COVID-19 may accelerate the development and progression of SSc by intensifying fibrosis through the upregulation of inflammation, autoantibody production, and thrombosis.

SARS-CoV-2-associated organs failure and inflammation: a focus on the role of cellular and viral microRNAs

SARS-CoV-2 has been responsible for the recent pandemic all over the world, which has caused many complications. One of the hallmarks of SARS-CoV-2 infection is an induced immune dysregulation, in some cases resulting in cytokine storm syndrome, acute respiratory distress syndrome and many organs such as lungs, brain, and heart that are affected during the SARS-CoV-2 infection. Several physiological parameters are altered as a result of infection and cytokine storm. Among them, microRNAs (miRNAs) might reflect this poor condition since they play a significant role in immune cellular performance including inflammatory responses. Both host and viral-encoded miRNAs are crucial for the successful infection of SARS-CoV-2. For instance, dysregulation of miRNAs that modulate multiple genes expressed in COVID-19 patients with comorbidities (e.g., type 2 diabetes, and cerebrovascular disorders) could affect the severity of the disease. Therefore, altered expression levels of circulating miRNAs might be helpful to diagnose this illness and forecast whether a COVID-19 patient could develop a severe state of the disease. Moreover, a number of miRNAs could inhibit the expression of proteins, such as ACE2, TMPRSS2, spike, and Nsp12, involved in the life cycle of SARS-CoV-2. Accordingly, miRNAs represent potential biomarkers and therapeutic targets for this devastating viral disease. In the current study, we investigated modifications in miRNA expression and their influence on COVID-19 disease recovery, which may be employed as a therapy strategy to minimize COVID-19-related disorders.

LCCNN: a Lightweight Customized CNN-Based Distance Education App for COVID-19 Recognition

In the global epidemic, distance learning occupies an increasingly important place in teaching and learning because of its great potential. This paper proposes a web-based app that includes a proposed 8-layered lightweight, customized convolutional neural network (LCCNN) for COVID-19 recognition. Five-channel data augmentation is proposed and used to help the model avoid overfitting. The LCCNN achieves an accuracy of 91.78%, which is higher than the other eight state-of-the-art methods. The results show that this web-based app provides a valuable diagnostic perspective on the patients and is an excellent way to facilitate medical education. Our LCCNN model is explainable for both radiologists and distance education users. Heat maps are generated where the lesions are clearly spotted. The LCCNN can detect from CT images the presence of lesions caused by COVID-19. This web-based app has a clear and simple interface, which is easy to use. With the help of this app, teachers can provide distance education and guide students clearly to understand the damage caused by COVID-19, which can increase interaction with students and stimulate their interest in learning.

PBMC MicroRNAs: Promising Biomarkers for the Differential Diagnosis of COVID-19 Patients with Abnormal Coagulation Indices

MicroRNAs, or miRNAs, may involve in coagulation and inflammation pathways caused by severe Coronavirus disease (COVID-19). Accordingly, this attempt was made to explore the behavior of peripheral blood mononuclear cells (PBMCs) miRNAs as effective biomarkers to diagnose COVID-19 patients with normal and abnormal coagulation indices. We selected the targeted miRNAs (miR-19a-3p, miR-223-3p, miR-143-5p, miR-494-3p and miR-301a-5p) according to previous reports, whose PBMC levels were then determined by real-time PCR. Receiver operating characteristic (ROC) curve was obtained to clarify the diagnostic potency of studied miRNAs. The differentially expressed miRNA profiles and corresponding biological activities were predicted in accordance with bioinformatics data. Targeted miRNAs' expression profiles displayed a significant difference between COVID-19 subjects with normal and abnormal coagulation indices. Moreover, the average miR-223-3p level expressed in COVID-19 cases with normal coagulation indices was significantly lower than that in healthy controls. Based on data from ROC analysis, miR-223-3p and miR-494-3p are promising biomarkers to distinguish the COVID-19 cases with normal or abnormal coagulation indices. Bioinformatics data highlighted the prominent role of selected miRNAs in the inflammation and TGF-beta signaling pathway. The differences existed in the expression profiles of selected miRNAs between the groups introduced miR-494-3p and miR-223-3p as potent biomarkers to prognosis the incidence of COVID-19.