Background: Among patients with coronavirus disease 2019 (COVID-19), the cases of a significant proportion of patients are severe. A viral nucleic acid test is used for the diagnosis of COVID-19, and some hematological indicators have been used in the auxiliary diagnosis and identification of the severity of COVID-19. Regarding body fluid samples, except for being used for nucleic acid testing, the relationship between COVID-19 and routine body fluid parameters is not known. Our aim was to investigate the value of urine biochemical parameters in the prediction of the severity of COVID-19. Methods: A total of 119 patients with COVID-19 were enrolled at Renmin Hospital of Wuhan University. According to the severity of COVID-19, the patients were divided into three groups (moderate 67, severe 42 and critical 10), and 45 healthy persons were enrolled in the same period as healthy controls. The relationship between the results of urine biochemical parameters and the severity of COVID-19 was analyzed. Results: The positive rates of urine occult blood (BLOOD) and proteinuria (PRO) were higher in COVID-19 patients than in healthy controls (p < 0.05); the urine specific gravity (SG) value was lower in patients than in healthy controls (p < 0.05), and the urine potential of hydrogen (pH) value was higher in patients than in healthy controls (p < 0.01). The positive rates of urine glucose (GLU-U) and PRO in the severe and critical groups were higher than those in the moderate group (p < 0.01 and p < 0.05, respectively); other biochemical parameters of urine were not associated with the severity of COVID-19. Conclusions: Some urine biochemical parameters are different between patients with severe acute respiratory syndrome (SARS)-CoV-2 and healthy controls, and GLU-U and PRO may be helpful for the differentiation of COVID-19 severity.

Serine/arginine-rich splicing factors (SRSFs) have one or two RNA recognition motifs in the N terminal and a serine/arginine-enriched domain in the C terminal. SRSFs are essential components of spliceosomes and are involved in alternative splicing, spliceosome assembly, mRNA export, and nonsense-mediated mRNA decay. The maintenance of cellular and tissue homeostasis relies on accurate alternative splicing, and various patterns of abnormal alternative splicing can cause different diseases. SRSF4 is associated with many physiological and pathological processes and has applications in the diagnosis and prognosis of specific diseases. In this review, we discuss knowledge of SRSF4 in physiological and pathological processes and highlight the applications of SRSF4 in the regulation of gene expression and associated diseases.

Background: Lymphocyte count ( LYM) of peripheral blood and some indices of general biochemical analysis had diagnostic and prognostic value for coronavirus disease 2019 (COVID‐19), and the value of other remaining indices is rare. Methods: A total of 94 patients with COVID‐19 were enrolled at Renmin Hospital of Wuhan University. According to the severity of COVID‐19, the patients were divided into three groups (moderate 49, severe 35, and critical 10), and 40 healthy cases were enrolled in the same period as healthy controls. The diagnostic and prognostic value of indices in peripheral blood cell count and general biochemical analysis was analyzed. Results: Compared with healthy cases, the value differences in peripheral blood analysis in patients with COVID‐19 were statistically significant ( p < 0.01), the differences in LYM, neutrophil count (Neu), platelet count (PLT), and white blood cell count (WBC) were statistically significant among different severity of COVID‐19 ( p < 0.05). Compared with healthy cases, the differences in general biochemical results in patients with COVID‐19 were statistically significant ( p < 0.01), the value differences in direct bilirubin (DBIL), low‐density lipoprotein cholesterol (LDL‐Ch), and nitrogen (urea) were statistically significant among different severity of COVID‐19 ( p < 0.05). Neutrophil/lymphocyte ratio (NLR) had higher sensitivity and specificity for COVID‐19 diagnosis. Conclusions: Some indices of peripheral blood cell count and general biochemical analysis were valuable in discriminating COVID‐19 and predicting severity and adverse outcome of patients with COVID‐19. For clinician, it is better to use more economical and easy‐to‐get indices to diagnose and predict the prognosis of COVID‐19.