No abstract

Background The impacts of chronic airway diseases on coronavirus disease 2019 (COVID‐19) are far from understood. Objective To explore the influence of asthma and chronic obstructive pulmonary disease (COPD) comorbidity on disease expression and outcomes, and the potential underlying mechanisms in COVID‐19 patients. Methods A total of 961 hospitalized COVID‐19 patients with a definite clinical outcome (death or discharge) were retrospectively enrolled. Demographic and clinical information were extracted from the medical records. Lung tissue sections from patients suffering from lung cancer were used for immunohistochemistry study of angiotensin‐converting enzyme II (ACE2) expression. BEAS‐2B cell line was stimulated with various cytokines. Results In this cohort, 21 subjects (2.2%) had COPD and 22 (2.3%) had asthma. After adjusting for confounding factors, COPD patients had higher risk of developing severe illness (OR: 23.433; 95% CI 1.525‐360.135; P < .01) and acute respiratory distress syndrome (OR: 19.762; 95% CI 1.461‐267.369; P = .025) than asthmatics. COPD patients, particularly those with severe COVID‐19, had lower counts of CD4+ T and CD8+ T cells and B cells and higher levels of TNF‐α, IL‐2 receptor, IL‐10, IL‐8, and IL‐6 than asthmatics. COPD patients had increased, whereas asthmatics had decreased ACE2 protein expression in lower airways, compared with that in control subjects without asthma and COPD. IL‐4 and IL‐13 downregulated, but TNF‐α, IL‐12, and IL‐17A upregulated ACE2 expression in BEAS‐2B cells. Conclusion Patients with asthma and COPD likely have different risk of severe COVID‐19, which may be associated with different ACE2 expression.

Background: Recent research has uncovered tumor-suppressive and oncogenic potential of miRNAs. Results: miR-873 suppresses the proliferation, migration, and invasiveness of GBM cells by targeting IGF2BP1. Conclusion: Down-regulation of miR-873 results in overexpressed IGF2BP1, contributing to tumorigenesis of GBM cells. Significance: The identification of tumor suppressor miR-873 and its oncogenic target IGF2BP1 in GBM cells is potentially valuable for cancer diagnosis and therapy.

More efficient biomarkers are needed to facilitate the early detection of hepatocellular carcinoma (HCC). We aimed to identify candidate biomarkers for HCC detection by proteomic analysis. First, we performed a global proteomic analysis of 10 paired HCC and non-tumor tissues. Then, we validated the top-ranked proteins by targeted proteomic analyses in another tissue cohort. At last, we used enzyme-linked immunosorbent assays to validate the candidate biomarkers in multiple serum cohorts including HCC cases (HCCs), cirrhosis cases (LCs), and normal controls (NCs). We identified and validated 33 up-regulated proteins in HCC tissues. Among them, eight secretory or membrane proteins were further evaluated in serum, revealing that aldo–keto reductase family 1 member B10 (AKR1B10) and cathepsin A (CTSA) can distinguish HCCs from LCs and NCs. The area under the curves (AUCs) were 0.891 and 0.894 for AKR1B10 and CTSA, respectively, greater than that of alpha-fetoprotein (AFP; 0.831). Notably, combining the three proteins reached an AUC of 0.969, which outperformed AFP alone (P < 0.05). Furthermore, the serum AKR1B10 levels dramatically decreased after surgery. AKR1B10 and CTSA are potential serum biomarkers for HCC detection. The combination of AKR1B10, CTSA, and AFP may improve the HCC diagnostic efficacy.