Interpretation of Hematological, Biochemical, and Immunological Findings of COVID-19 Disease: Biomarkers Associated with Severity and Mortality.

The severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) spread rapidly all over the world in late 2019 and caused critical illness and death in some infected patients. This study aimed at examining several laboratory factors, especially inflammatory and immunological mediators, to identify severity and mortality associated biomarkers. Ninety-three hospitalized patients with confirmed coronavirus disease 2019 (COVID-19) were classified based on disease severity. The levels of biochemical, hematological, immunological, and inflammatory mediators were assessed, and their association with severity and mortality were evaluated. Hospitalized patients were mostly men (77.4%) with an average (standard deviation) age of 59.14 (14.81) years. The mortality rate was significantly higher in critical patients (85.7%). Increased serum levels of blood sugar, urea, creatinine, uric acid, phosphorus, total bilirubin, serum glutamic-oxaloacetic transaminase, serum glutamic-oxaloacetic transaminase, lactic dehydrogenase, C-reactive protein, ferritin, and procalcitonin were significantly prevalent (p=0.002, p<0.001, p<0.001, p=0.014, p=0.047, p=0.003, p<0.001, p<0.001, p<0.001, p<0.001, P<0.001, and p<0.001, respectively) in COVID-19 patients. Decreased red blood cell, hemoglobin, and hematocrit were significantly prevalent among COVID-19 patients than healthy control subjects (p<0.001 for all). Troponin-I, interleukin-6, neutrophil/lymphocyte ratio (NLR), procalcitonin, and D-dimer showed a significant association with the mortality of patients with specificity and sensitivity more than 60%. Age, sex, underlying diseases, blood oxygen pressure, complete blood count along with C-reactive protein, lactic dehydrogenase, procalcitonin, D-dimer, and interleukin-6 evaluation help to predict the severity and required management for COVID-19 patients. Further investigations are highly recommended in a larger cohort study for validation of the present findings.

Correlation between MMP-9 and MMP-9/ TIMPs Complex with Pulmonary Function in Sulfur Mustard Exposed Civilians: Sardasht-Iran Cohort Study.

BACKGROUND: Matrix metalloproteinases (MMPs) are a family of proteinases and have the vigorous capacity to degrade all parts of the extracellular matrix. MMP enzymes strongly participate in physiological processes such as normal tissue remodeling and wound healing and in pathology of pulmonary diseases. They are released in response to environmental stimuli such as toxins and regulated by endogenous tissue inhibitors of metalloproteinases (TIMPs). Sulfur mustard (SM) is a chemical toxic which can cause severe permanent damages to lung tissues. The aim of this study was assessing the possible role of MMP-9 and TIMPs in SM-induced lung symptoms and signs in exposed patients 20 years after exposure. METHODS: Totally, 372 male volunteers with a history of SM- exposure and 128 age- and sex-matched unexposed controls participated and were divided into three groups: normal, mild and moderate-severe. All participants underwent clinical evaluation and pulmonary function tests and serum concentrations of MMP-9 and its inhibitors were measured using the ELISA technique. RESULTS: Serum level of MMP-9 was increased in the SM exposed group who had moderate-severe pulmonary complications compared with the SM exposed with normal lung (2.321 ± 2.836 vs. 1.546 ± 2.176, P = 0.001) while only the MMP-9/TIMP-4 complex was elevated in the SM exposed with normal lung individuals compared to its corresponding control group (85 ± 265 vs. 82 ± 222, P = 0.025). Although MMP-9 and its inhibitors did not show any correlation with spirometry findings, elevated circulating MMP-9 was detected in SM exposed patients with chronic chough and hemoptysis (P = 0.013 and P = 0.013 respectively). CONCLUSION: High level of tissue disruption and remodeling mediators could influence lung structure in long-term after SM-exposure. The correlation of clinical evaluation with these factors efficiently helps us to identify important effectors.