Objective To investigate the molecular mechanism of ALKBH5 reducing sepsis-induced myocardial dysfunction(SIMD).Methods The expression levels of ALKBH5 and TRAF1 in the blood of 50 SIMD patients and 50 healthy individuals were detected using reverse transcription fluorescence quantitative polymerase chain reaction(RT-qPCR),and the correlation between their expression levels was analyzed by person analysis;In vitro experiments,H9C2 myocardial cells were divided into 7 groups according to over expression of TARF1 and knockdown ALKBH5.The molecular mechanism of ALKBH5 targeting TRAF1 to regulate lipopolysaccharide(LPS)induced myocardial cell damage was studied through experiments such as CCK8,ELISA,and Western blot;In the in vivo experiment of rats,LPS induced rats were divided into 6 groups according to over expression of TARF1 and knockdown ALKBH5.Experimental methods such as colorimetry,ELISA,Western blot,HE staining,and immuno-histochemistry were used to study the mechanism of ALKBH5 targeting TRAF1 through NF-κB pathway in reduc-ing myocardial cell damage.Results The expression levels of ALKBH5 and TRAF 1 were downregulated in SIMD,and the Pearson analysis showed a positive correlation between them(P<0.001);In vitro experiments showed that overexpression of TRAF1 promotes cell proliferation,inhibits the expression of inflammatory factors and proteins involved in the NF-κB pathway,and knockdown ALKBH5 obtain the opposite resulst;In vivo experi-ments in rats showed that knockdown ALKBH5 promotes injury in cardiomyocytes,expression of inflammatory factors and NF-κB-related pathway proteins,and nuclear translocation of NF-κB p65 protein,but the overexpression of TRAF 1 yielded the opposite results.Conclusion ALKBH5 increases the stability of TRAF1 by reducing its meth-ylation,thereby inhibiting NF-κB pathway,thereby reducing SIMD.

In view of the problem of slow development of intensive care medicine in Xizang, the research team made full use of the national partner assistance to Xizang, gathered resources across all cities in Xizang, and formed a national academic platform for critical care medicine in plateau areas. Adhering to the academic orientation with hemodynamics as the main topic, critical care ultrasound as the bedside dynamic monitoring and evaluation method, and blood flow-oxygen flow resuscitation as the core connotation, we have achieved the goals of improving the critical care talent echelon throughout Xizang, driving the overall progress of intensive care medicine in Xizang, making a figure in China, and focusing on training of top-notch talents.

OBJECTIVES: To investigate the clinical characteristics and risk factors for severe events of coronavirus disease 2019 (COVID-19) in elderly patients. METHODS: Retrospective analysis was performed on the clinical data of all elderly COVID- 19 patients treated in Changsha Public Health Treatment Center from January 17, 2020 to March 15, 2020, which included basic diseases, symptoms, test results, and other clinical characteristics, and prognostic indicators such as severity of illness, length of hospital stay, virus shedding time and mortality rate. The differences in clinical characteristics and prognostic indicators between elderly, middle-aged, and young COVID-19 patients were also analyzed. Logistic regression model was used to conduct univariate and multivariate analysis of risk factors for developing severe events in elderly COVID-19 patients; receiver operating characteristic (ROC) curve analysis was used to evaluate the prediction efficacy. RESULTS: Of the 230 COVID-19 adult patients, 34 were young patients (14.8%), 136 were middle-aged patients (59.1%), and 60 were elderly (26.1%). Among the 60 elderly patients, 23 were male (38.3%) and 37 were female (61.7%), with a medium age of 66 years old. Common symptoms were fever (66.7%), cough (50.0%), and fatigue (41.7%). C reactive protein (CRP) was increased significantly. The proportion of severe cases was 31.7%, and mortality was 1.7%. The median length of hospitalization and median virus shedding time were 18.5 days and 21 days, respectively. Compared with the young and the middle-aged patients, the elderly had a higher proportion of hypertension, diabetes, and cardiovascular diseases, more common shortness of breath, higher proportions of pneumonia and severe cases (all <0.05), and the decreased lymphocyte count and lymphocyte percentage (both <0.05), as well as higher CRP and erythrocyte sedimentation rate (ESR) levels (both <0.05). Compared with non-severe cases, severe elderly patients demonstrated higher CRP and aspartate aminotransferase (AST) levels (all <0.05), the reduced lymphocyte count (<0.05), and the prolonged length of hospitalization and virus shedding duration (both <0.05). Univariate logistic regression analysis indicated that the lymphocytes proportion, CRP and AST levels were significantly correlated with the risk for developing severe events in elderly COVID-19 patients (all <0.05). Multivariate logistic regression found that severe events in elderly patients with COVID-19 were significantly correlated with CRP level (OR=1.041, =0.013). ROC curve analysis revealed that the area under the curve (AUC) for CRP to diagnose severe events in elderly COVID 19 patients was 0.851. CONCLUSIONS The proportion of severe cases in elderly COVID-19 patients is higher than that in young and middle-aged patients. CRP level has a good predictive value for the possibility of severe events in elderly COVID-19 patients.
Adult ; Aged ; Betacoronavirus ; C-Reactive Protein ; analysis ; China ; Comorbidity ; Coronavirus Infections ; diagnosis ; physiopathology ; Female ; Humans ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral ; diagnosis ; physiopathology ; Retrospective Studies ; Risk Factors