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Some risk causes may be associated with the severity of COVID-19. The central host-pathogen factors might affect infection are human receptor angiotensin-converting enzyme 2 (ACE2), trans-membrane protease serine 2 (TMPRSS2), and SARS-CoV-2 surface spike (S)-protein. The main purpose of this study was to determine the differences in the expression the metalloproteinases-2  (MMP-2), MMP-9, ACE2, and TMPRSS2 genes and their correlation with lymphopenia in the mild and severe types of the COVID-19 patients. Eighty-eight patients, aged 36 to 60 years old with the mild (n=44) and severe (n=44) types of COVID-19 were enrolled. Total RNA was isolated from the peripheral blood mononuclear cells (PBMCs). The changes of MMP-2, MMP-9, ACE2 and TMPRSS2 gene expression in PBMCs from mild and severe COVID-19 patients were examined by the real time-quantitative polymerase chain reaction (RT-qPCR) assay and, compared between the groups. Data were collected from May 2021 to March 2022. The mean age of the patients in both groups was 48 (interquartile range, 36-60), and there were no appreciable differences in age or gender distribution between the two groups. The present study showed that a significant increase in the expression of ACE2, TMPRSS2, MMP-2, and MMP-9 genes in the severe type of the COVID-19 patients compared, to the mild type of the COVID-19 patients. Overall, it suggests the expression levels of these genes on the PBMC surface in the immune system are susceptible to infection by SARS-COV-2 and therefore could potentially predict the patients' outcome.

Although cellular and molecular mediators of the immune system have the potential to be prognostic indicators of disease outcomes, temporal interference between diseases might affect the immune mediators, and make them difficult to predict disease complications. Today one of the most important challenges is predicting the prognosis of COVID-19 in the context of other inflammatory diseases such as traumatic injuries. Many diseases with inflammatory properties are usually polyphasic and the kinetics of inflammatory mediators in various inflammatory diseases might be different. To find the most appropriate evaluation time of immune mediators to accurately predict COVID-19 prognosis in the trauma environment, researchers must investigate and compare cellular and molecular alterations based on their kinetics after the start of COVID-19 symptoms and traumatic injuries. The current review aimed to investigate the similarities and differences of common inflammatory mediators (C-reactive protein, procalcitonin, ferritin, and serum amyloid A), cytokine/chemokine levels (IFNs, IL-1, IL-6, TNF-α, IL-10, and IL-4), and immune cell subtypes (neutrophil, monocyte, Th1, Th2, Th17, Treg and CTL) based on the kinetics between patients with COVID-19 and trauma. The mediators may help us to accurately predict the severity of COVID-19 complications and follow up subsequent clinical interventions. These findings could potentially help in a better understanding of COVID-19 and trauma pathogenesis., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Fouladseresht, Ghamar Talepoor, Eskandari, Norouzian, Ghezelbash, Beyranvand, Nejadghaderi, Carson-Chahhoud, Kolahi and Safiri.)

Objectives: Over 50 million confirmed cases and 1.5 million fatalities worldwide have been linked to the COVID-19 pandemic. Researchers have used convalescent plasma (CP) from recovered patients, which includes neutralizing antibodies, to develop therapeutics for virus neutralization and prevention. This study assessed the effectiveness of CP using several clinical and laboratory variables. Methods: The intervention group received two doses of CP on the day of hospitalization, while the control group received standard care. Clinical and analytical data were documented and evaluated before plasma therapy and on the third and fifth days after therapy. The results were measured in the patient's blood using the ELISA method. Results: The present study showed that the ICU hospitalization times for the control and CP groups were similar, with a slightly lower mortality rate in the CP group (6.2% vs. 8.2%, p > 0.05). There was no significant association between COVID-19 and clinical factors such as blood pressure, heart rate (HR), respiration rate (RR), and temperature. The blood serum urea, serum LDH, ALT, PTT, PLT, and IL-6 were significantly higher in the CP group than in the control group (p <0.05). Our results indicated that there was no difference in blood pH, PO2, HCO3, ESR, WBC counts, serum troponin, Na, AST, CRP, D-dimer, and PT between patients in the CP and control groups. Conclusion: Overall, in certain instances, CP therapy may help individuals with COVID-19 recover. In general, additional research is required to determine the efficacy of plasma treatment in COVID-19 patient care. [ABSTRACT FROM AUTHOR]

Programmed death 1 (PD-1) has a central role in maintaining T cell tolerance and terminating cellular responses after eliminating antigens. Variation in PD-1 gene products caused by polymorphisms has been linked to several malignancies and autoimmune diseases. However, there is little known about the effects of its single-nucleotide polymorphisms (SNPs) on viral infections, particularly COVID-19. The primary aim of this study was to explore the function of genotypes, alleles, and haplotypes of two SNPs within the programmed cell death protein 1 (PDCD1) gene at PD1.3 G/A and PD1.5 C/T on susceptibility to COVID-19 in an Iranian population. The secondary objective was to evaluate the effects of these SNPs on the outcome of the disease. We got blood samples from COVID-19 patients (n = 195) and healthy subjects (n = 500) for genotypic determination of PD1.3 G/A (rs11568821) and PD1.5 C/T (rs2227981) SNPs, using the polymerase chain reaction-restriction fragment length polymorphism method, and constructed four haplotypes for PDCD1 SNPs. We used Pearson's chi-squared test, Fisher's exact test, and T-test for this study and incorporated effect sizes of odds ratio (OR) and standardized mean difference. The frequency of CT genotype of PD1.5 was meaningfully higher in COVID-19 patients (49.2%) than in healthy subjects (37.4%) (p = 0.005). However, these significant differences were not observed in the frequencies of PD1.3 genotypes between the two groups (p > 0.05). Of all estimated haplotypes for PDCD1, only AT was significantly and largely associated with COVID-19 susceptibility (p = 0.01, OR: 7.79 [95% confidence interval = 1.56–38.79]), however, this finding is inconclusive. In addition, the present study showed that the PD1.3 and PD1.5 SNPs were not associated with the outcome of the disease (p > 0.05). These results may propose that the PD1.5 CT genotype and AT haplotype of PDCD1 indecisively contribute to COVID-19 susceptibility in the Iranian population. [ABSTRACT FROM AUTHOR]