Investigation of the Molecular Mechanism of Coagulopathy in Severe and Critical Patients With COVID-19.

Coagulopathy is a frequently reported finding in the pathology of coronavirus disease 2019 (COVID-19); however, the molecular mechanism, the involved coagulation factors, and the role of regulatory proteins in homeostasis are not fully investigated. We explored the dynamic changes of nine coagulation tests in patients and controls to propose a molecular mechanism for COVID-19-associated coagulopathy. Coagulation tests including prothrombin time (PT), partial thromboplastin time (PTT), fibrinogen (FIB), lupus anticoagulant (LAC), proteins C and S, antithrombin III (ATIII), D-dimer, and fibrin degradation products (FDPs) were performed on plasma collected from 105 individuals (35 critical patients, 35 severe patients, and 35 healthy controls). There was a statically significant difference when the results of the critical (CRT) and/or severe (SVR) group for the following tests were compared to the control (CRL) group: PTCRT (15.014) and PTSVR (13.846) (PTCRL = 13.383, p < 0.001), PTTCRT (42.923) and PTTSVR (37.8) (PTTCRL = 36.494, p < 0.001), LACCRT (49.414) and LACSVR (47.046) (LACCRL = 40.763, p < 0.001), FIBCRT (537.66) and FIBSVR (480.29) (FIBCRL = 283.57, p < 0.001), ProCCRT (85.57%) and ProCSVR (99.34%) (ProCCRL = 94.31%, p = 0.04), ProSCRT (62.91%) and ProSSVR (65.06%) (ProSCRL = 75.03%, p < 0.001), D-dimer (p < 0.0001, χ2 = 34.812), and FDP (p < 0.002, χ2 = 15.205). No significant association was found in the ATIII results in groups (ATIIICRT = 95.71% and ATIIISVR = 99.63%; ATIIICRL = 98.74%, p = 0.321). D-dimer, FIB, PT, PTT, LAC, protein S, FDP, and protein C (ordered according to p-values) have significance in the prognosis of patients. Disruptions in homeostasis in protein C (and S), VIII/VIIIa and V/Va axes, probably play a role in COVID-19-associated coagulopathy.

T helper type (Th1/Th2) responses to SARS-CoV-2 and influenza A (H1N1) virus: From cytokines produced to immune responses.

Cytokines produced by T helper cells (Th cells) have essential roles in the body's defense against viruses. Type 1 T helper (Th1) cells are essential for the host defense toward intracellular pathogens while T helper type 2 (Th2) cells are considered to be critical for the helminthic parasites' elimination swine-origin influenza A (H1N1) virus, a disease led to an epidemic in 2009 and rapidly spread globally via human-to-human transmission. Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused a global pandemic in 2020 and is a serious threat to the public health. Pulmonary immunopathology is the leading cause of death during influenza and SARS-CoV-2 epidemics and pandemics. Influenza and SARS-CoV-2 cause high levels of cytokines in the lung. Both inadequate levels and high levels of specific cytokines can have side effects. In this literature review article, we want to compare the Th1 and Th2 cells responses in SARS-CoV-2 and H1N1.

Dynamic Antibody Response: a Biomarker for COVID-19.

BACKGROUND: Novel coronavirus disease 2019 (COVID-19) is the cause of the third pneumonia-like outbreak of coronaviruses in humans during the 21st century. The status of the host immune system is a critical factor that affects the severity and outcomes of COVID-19. In particular, antibody responses are an indicator of the anti-viral defense; so, a delayed or inappropriate induction of these responses would correlate with a defect in the viral clearance. METHODS: This is a rapid synthesis of literature investigating antibody responses in patients with the severe acute respiratory syndrome (SARS) and COVID-19. RESULTS: Lessons learned from severe acute respiratory syndrome (SARS), along with the direct evidence of antibody responses in COVID-19, pose the potentials of dynamic antibody responses for screening and prognostic purposes in COVID-19. Also, neutralizing antibodies extracted from recovered patients and monoclonal antibodies targeting cytokines offer therapeutic support for COVID-19. CONCLUSIONS: Altogether, the dynamics of antibody responses help to determine the effectiveness of treatments for COVID-19. Of note, it might be helpful for the evaluation of the efficacy of immunotherapy and vaccination - the dreams for the future of COVID-19. Further studies are necessary to investigate the possibility and efficacy of antibody extraction from animal subjects. Finally, numerous factors affect antibody response such as race, nutrition status, and virus mutations in viral infections, which need to be considered in the context of COVID-19.