Objective:To investigate the value of artificial intelligence (AI)-assisted quantitative measurement in evaluation of the dynamic changes of CT for COVID-19 pneumonia.Methods:The clinical and chest CT dynamic imaging data of 99 patients with confirmed COVID-19 pneumonia who were hospitalized in Wuhan Central Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology from January 15, 2020 to March 10, 2020 were retrospectively analyzed. According to the definitive diagnosis, the 99 patients were classified into common ( n=36), severe ( n=33) and critical ( n=30) type, the CT imaging findings of each type were analyzed, including CT basic signs, total volume of pneumonia lesions and percentage of pneumonia lesions of the total lung volume (volume ratio). AI software was used to quantitatively evaluate the dynamic changes of chest CT images. The quantitative indicators included CT peak time of lesions, total volume of lesions peak, volume ratio of lesions peak, maximum growth rate of total volume and maximum growth rate of volume ratio. Kruskal-Wallis rank sum test was used to compare the difference of quantitative indexes between the 3 types, and χ 2 test or Fisher exact probability test was used to compare the difference of qualitative indexes between the 3 types. Sequence measurement and scatter plots were used to show the evolution trend of the volume ratio of the three types of COVID-19 pneumonia lesions. The ROC curve was used to analyze the value of the volume ratio of pneumonia lesions and its maximum growth rate in predicting the conversion of common pneumonia to severe or critical pneumonia. Results:There were statistically significant differences in age and gender distribution among patients with common, severe and critical COVID-19 ( P<0.05), the age of severe and critical types were significantly higher than that of common type ( P<0.01). Compared with common [2.5 (1.0, 5.0) d] and critical type[2.5 (1.0, 4.0) d], the time from onset to the first chest CT scan of severe type was prolonged [5.0 (2.5, 8.0) d, P<0.01]. There were statistically significant differences in involvement of multiple lung lobes (20 cases, 29 cases, 25 cases, χ2=10.403, P=0.006) in patients with common, severe and critical COVID-19 at the first scan, the incidence of the involvement of multiple lung lobes in severe and critical types was significantly higher than that of common type ( P=0.002). The volume ratios of patients with common, severe and critical COVID-19 at the first scan were statistically significant [1.0% (0.2%, 4.7%), 9.30% (1.63%, 26.83%), 2.10% (0.64%, 8.61%), Z=14.236, P=0.001], and the volume ratio of severe type was significantly higher than that of common type ( P<0.001), there was no statistically significant difference between common type and critical type ( P=0.062). Follow-up CT showed that the pneumonia lesions showed a dynamic transformation of progress and recovery, and it was seen that the coexistence of multiphase lesions. The trend line in the scatter plot of the three types of COVID-19 pneumonia lesions showed that the lesions in the advanced stage developed from less to more. The lesion peak volume ratios of the common, severe and critical types were 9.75% (4.83%, 13.18%), 29.80% (23.99%, 42.36%) and 61.81% (43.73%, 72.82%), respectively, the difference was statistically significant ( Z=74.147, P<0.001). The maximum growth rates of lesion volume ratio were 1.27% (0.50%, 1.81%)/d, 4.39% (3.16%, 5.54%)/d and 6.02% (4.77%, 9.96%)/d, respectively, the difference was statistically significant ( Z=52.453, P<0.001). The peak times of lesions were 12.0 (9.0, 15.0) d, 13.0 (10.0, 16.0) d and 16.5 (12.0, 25.0)d, respectively, the difference was statistically significant ( Z=9.524, P=0.009). Taking the volume ratio of pneumonia lesion 22.60% and the maximum growth rate of the volume ratio 1.875%/d as the boundary value, the sensitivity of diagnosing common type to severe or critical type was 92.10% and 96.83%, and the specificity was 100% and 80.56%, respectively. The area under the curve was 0.987 and 0.925, respectively. Conclusions:The lesions of COVID-19 pneumonia show a similar parabolic change on CT imaging. The use of AI technology to dynamitcally and accurately measure the CT pneumonia lesion volume ratio is helpful to evaluate the severity of the disease and predict the development trend of the disease. Patients with a rapid growth of volume ratio are more likely to become severe or critical type.

AIM:To investigate the role of specific long noncoding RNA SLC25a6(lncSLC25a6)in homocys-teine(Hcy)-induced cuproptosis in cardiomyocytes.METHODS:Rat cardiomyocytes were cultured in vitro and divided into control group and Hcy group.After 48 h of intervention,the expression levels of cuproptosis-related proteins,ferre-doxin 1(FDX1)and heat shock protein 70(HSP70),were detected by Western blot and immunofluorescence staining.The oxidative stress state of cardiomyocytes was assessed using fluorescence staining,and the intracellular Cu2+levels were measured using a copper ion assay kit.Furthermore,the impact of Hcy on the expression of cuproptosis-related proteins in cardiomyocytes was analyzed following overexpression of lncSLC25a6.RESULTS:Compared with the control group,80 μmol/L Hcy significantly accelerated cardiomyocyte damage,with a notable underexpression of lncSLC25a6(P<0.05).Western blot results indicated that,compared with the control group,the expression level of FDX1 in the Hcy intervention group was significantly reduced(P<0.05),while the expression level of HSP70 was significantly elevated(P<0.05),and the expression level of copper ions in cardiomyocytes of the Hcy group was increased(P<0.05).Immunofluorescence staining showed a significant reduction in FDX1 fluorescence intensity and a significant increase in HSP70 fluorescence in-tensity in the Hcy group.Further overexpression of lncSLC25a6 significantly mitigated Hcy-induced cuproptosis in cardio-myocytes,resulting in elevated expression of FDX1 and reduced expression of HSP70(P<0.05).Pearson correlation analysis demonstrated that the expression level of lncSLC25a6 was negatively correlated with FDX1 protein expression(r=-0.676,P=0.046)and positively correlated with HSP70 expression(r=0.680,P=0.044).CONCLUSION:lnc-SLC25a6 significantly mitigates Hcy-induced cuproptosis in cardiomyocytes,positioning it as a potential therapeutic target for managing Hcy-induced cardiac injury.

Objective To study the role of ubiquitin-conjugating enzyme 9(UBC9)in the pyroptosis of homocysteine-induced macrophages mediated by small ubiquitin-like modifier(SUMO)modification.Methods First,the effects of homocysteine at different concentrations(0 μmol/L,50 μ.mol/L,100 μmol/L,150 μmol/L and 200 μmol/L)on the viability and pyrodeath of mouse macrophages(RAW264.7)were detected by CCK-8 and Western blot.Western blot was used to detect the expression levels of UBC9,SUMO-1,and the inflammatory cytokine IL-1β in different groups of cells.qRT-PCR was used to detect the mRNA expression of UBC9 before and after RNA interference and the expression of UBC9,pyrogen-related protein,and SUMO-1 after RNA interference.Results After stimulation with 100 μmol/L homocysteine,the effect of macrophage activity was minimal,and NLRP3 and Caspase-1 were the proteins with the most obvious increase in expression(P＜0.05).Compared with the Control group,the Hcy group's expression of IL-1β and SUMO-1 was increased(P＜0.01).Compared with the Control group,the Hcy group's UBC9 protein and mRNA levels were increased(P＜0.05).The expression of NLRP3,Caspase-1,IL-1β,UBC9,and SUMO-1 was decreased in the si-UBC9+Hcy group compared with the si-NC+Hcy group(P＜0.01).Conclusions Homocysteine induces pyroptosis in macrophages,and its mechanism of action is related to the up-regulation of UBC9 to induce SUMO modification.