OBJECTIVE: To retrospectively analyze the characteristics and influencing factors of COVID-19 infection in patients with multiple myeloma (MM) who underwent autologous hematopoietic stem cell transplantation (AHSCT). METHODS: The clinical data of MM patients who underwent AHSCT in Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from May 26, 2021 to December 26, 2022 were collected. The onset of COVID-19 infection, corresponding symptoms and laboratory tests were followed up in outpatient or by the means of telephone contact and online questionnaires. Related analysis was then performed. RESULTS: This study included 96 patients, and 72 cases among them were infected with COVID-19 while 24 cases were uninfected. Logistic regression analysis showed that vaccination did not significantly reduce the risk of COVID-19 infection, but patients who received two doses of the vaccine had a lower risk of developing moderate and severe disease than those who did not receive or received one dose (OR =0.06, P =0.029). Patients who received daratumumab before had a higher risk of COVID-19 infection (OR =5.78, P =0.039), while those with a history of immunomodulatory drugs (IMiDs) had the opposite effect (OR =0.31, P =0.028). The use of both drugs did not affect the severity of COVID-19 infection. CONCLUSION For MM patients undergoing AHSCT as first-line chemotherapy, COVID-19 vaccination does not significantly reduce the infection rate, but it plays a role in preventing moderate and severe cases. The application of antineoplastic drugs with different mechanisms has a certain impact on the susceptibility to the COVID-19, which should be considered comprehensively when creating treatment plans.
Humans ; Multiple Myeloma/complications* ; COVID-19/epidemiology* ; Hematopoietic Stem Cell Transplantation ; Transplantation, Autologous ; Retrospective Studies ; Risk Assessment ; Risk Factors ; Male ; Female ; Middle Aged ; SARS-CoV-2 ; Adult ; Antibodies, Monoclonal

Objective:To investigate the molecular mechanism of autophagy and apoptosis induced by ultrafine carbon black in human bronchial epithelial cells (BEAS-2B cells), and to study the intervention effect and mechanism of N-acetylcysteine (NAC) on ultrafine carbon black-induced oxidative damage in BEAS-2B cells.Methods:In March 2023, BEAS-2B cells were used as research object, an in vitro airway model exposed to ultrafine carbon black was constructed. A control group and three carbon black exposure groups (50, 100, 200 μg/ml) were set up, and the cells were treated with corresponding concentrations of ultrafine carbon black for 24 hours. In addition, the experiment was divided into control group, NAC+ control group, 100 μg/ml carbon black exposure group and NAC+ exposure group. The corresponding groups were treated with 2 mmol/L NAC for 1 h and 100 μg/ml ultrafine carbon black for 24 h, respectively. Cell viability was measured by CCK-8 assay. Intracellular reactive oxygen species (ROS) level was detected by chemical fluorescence method. The activities of superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) and catalase (CAT), as well as the content of malondialdehyde (MDA) were detected by colorimetry. The mRNA and protein expressions of autophagy-related genes[Atg5, Atg7, Beclin1, microtubule-associated protein light chain 3B (LC3B), p62 and lysosome-associated membrane protein 2 (LAMP2) ] and apoptosis-related genes [B-cell lymphoma 2 (Bcl-2), Bcl-2-associated X protein (Bax), Caspase3, Caspase9 and poly (ADP-ribose) polymerase 1 (PARP1) ] were determined by fluorescence quantitative PCR and Western blot. Cell apoptosis was determined by flow cytometry.Results:Compared with the control group, the relative survival rates of BEAS-2B cells in 50, 100, 200 μg/ml carbon black exposure groups were significantly decreased, the levels of ROS and MDA were significantly increased, and the activities of SOD, GSH-Px and CAT were significantly decreased ( P<0.05). The relative survival rate, ROS and MDA levels, SOD, GSH-Px and CAT activities were significantly correlated with the exposure dose of ultrafine carbon black ( rs=-0.755, 0.826, 0.934, -0.810, -0.880, -0.840, P<0.05). Compared with the control group, the relative expression levels of Atg5, Atg7, Beclin1, LC3B, p62, LAMP2, Bax, Caspase3, Caspase9, PARP1 mRNA and Atg5, Atg7, Beclin1, LC3BⅡ, p62, LAMP2, Bax, cleaved Caspase3 (C-Caspase3), cleaved Caspase9 (C-Caspase9), cleaved PARP1 (C-PARP1) protein and the ratio of LC3BⅡ/LC3BⅠ in 50, 100 and 200 μg/ml carbon black exposure groups were significantly increased, while the relative expression levels of Bcl-2 mRNA and protein were significantly decreased ( P<0.05). The changes of the above indexes were significantly correlated with the exposure dose of carbon black ( rs=0.892, 0.879, 0.944, 0.892, 0.828, 0.880, 0.814, 0.794, 0.931, 0.918, 0.813, 0.866, 0.774, 0.695, 0.918, 0.761, 0.794, 0.944, 0.833, 0.866, 0.905, -0.886, -0.748, P<0.05). Compared with 100 μg/ml carbon black exposure group, the relative survival rate, the activities of SOD, GSH-Px and CAT in NAC+exposure group were significantly increased, while the levels of ROS and MDA were significantly decreased, and the relative expression levels of LC3B, p62 and Caspase3 mRNA and protein as well as the ratio of LC3BⅡ/LC3BⅠ were significantly decreased, and the differences were statistically significant ( P<0.05). Compared with the control group, the apoptosis rates of BEAS-2B cells in 50, 100, 200 μg/ml carbon black exposure groups were significantly increased ( P<0.05), and there was a significant positive correlation between ultrafine carbon black exposure dose and cell apoptosis rate ( rs=0.944, P<0.05). While compared with 100 μg/ml carbon black exposure group, the apoptosis rate of NAC+exposure group was significantly decreased, and the difference was statistically significant ( P<0.05) . Conclusion:Cell autophagy and apoptosis may be important pathophysiological mechanisms of ultrafine carbon black-induced oxidative damage in BEAS-2B cells. NAC can alleviate the occurrence of BEAS-2B cell damage caused by ultrafine carbon black by regulating oxidative stress and the cascading autophagy and apoptosis pathways.

Objective To develop a Traditional Chinese Medicine(TCM)syndrome diagnosis scale suitable for evaluating the overall health status of participants in long-term simulated weightlessness experiments,and preliminarily evaluate its reliability and validity.Methods Based on the understanding of the pathogenesis of TCM in different stages of long-term manned spaceflight,a scale was developed through literature research and expert consultation.Test-retest reliability and internal consistency coefficient were used to test the reliability of the scale.Item analysis and factor principal component analysis were used to evaluate the validity of the scale,and a rotating component matrix was used to analyze the correlation between each item and dimension using 36 volunteers in a 90 days head down bed rest experiment as the research subjects.Results The scale contains eight dimensions and 57 items.The reliability analysis showed that the correlation coefficient of the total score of the scale for the first and second tests of 30 participants was 0.889,indicating high stability of the scale.The Cronbach coefficient of the scale was 0.934,indicating very good internal consistency.The split half reliability after correction was 0.858,indicating a high reliability of the scale.The validity analysis showed that the difference between the high score group and the low score one for each of the 57 items was statistically significant(P<0.01),and the Pearson correlation coefficient between each item and the total score of the scale was greater than 0.4(P<0.001).The cumulative contribution rate of 8 common factors extracted using principal component factor analysis was 55.293%,and the results of rotating component matrix analysis,after applying TCM theory and expert feedback,had a coincidence of up to 87.5%with the initial 8 dimensions,indicating good structural validity of the scale.Conclusion The scale has good reliability and validity,and can diagnose TCM syndromes.It is suitable for long-term simulated weightlessness experiment and provides an objective and quantitative new method for evaluating the subjective feelings of participants.

Objective To investigate the relationship between single nucleotide polymorphisms(SNPs)in the eNOS gene and genetic susceptibility to systemic lupus erythematosus(SLE)in Hainan.Methods Blood samples were collected from SLE patients(SLE group,n=214)and healthy controls(control group,n=214)from January 2020 to December 2022 at the First Affiliated Hospital of Hainan Medical College and Hainan Provincial People's Hospital.The bases of eNOS gene rs3918188,rs1799983 and rs1007311 loci in each group were detected by SNaPshot sequencing technology.Logistic regression was used to analyze the correlation between genotypes,alleles and gene models(dominant model,recessive model,and overdominant model)of the above 3 target loci of the eNOS gene and genetic susceptibility to SLE.Haplotype analysis was conducted using HaploView 4.2 software to investigate the relationship between haploid and genetic susceptibility to SLE at each site.Results The results of logistic regression analysis revealed that the CC genotype and the C allele at rs3918188 locus were risk factors for genetic susceptibility to SLE(CC vs.AA:OR=2.449,P<0.05;C vs.A:OR=2.133,P<0.001).In recessive model at rs3918188 locus,CC genotype carriers had an increased risk of SLE development compared with AA+AC genotype carriers(OR=2.774,P<0.001).In contrast,in overdominant model at this locus,AC genotype carriers had a decreased risk of SLE occurrence compared with AA+CC genotype carriers(OR=0.385,P<0.001).In addition,polymorphisms of rs1799983 and rs1007311 were not associated with susceptibility to SLE in genotype,allele type and the 3 genetic models(P>0.05).Haplotype analysis revealed a strong linkage disequilibrium between the rs1007311 and rs1799983 loci of the eNOS gene,but no significant correlation was found between haplotype and genetic susceptibility to SLE(P>0.05).Conclusion The CC genotype and C allele at rs3918188 locus of eNOS gene may be risk factors for SLE in Hainan,while the risk of SLE occurrence is reduced in carriers of AC genotype under the overdominant model.

Objective This study aimed to explore the diagnostic concordance of fractional flow reserve(FFR)and quantitative flow ratio(QFR)and the characteristics affecting this concordance.Methods Patients with non-acute myocardial infarction admitted to the Department of Cardiology,Peking University Third Hospital between January 2019 and December 2021 were enrolled.The patients were divided into four groups:FFR+/QFR+and FFR-/QFR-,FFR+/QFR-and FFR-/QFR+with FFR or QFR≤0.80 as positive and＞0.80 as negative.Using FFR as the gold standard,the diagnostic value of QFR was analyzed,and differences in clinical features and pathological characteristics among the groups were compared.Results A total of 236 patients were included.The mean age was(64.48±9.63)years,and 67.8％were male.All patients had 30％-70％coronary stenosis.The consistency rate of QFR and FFR was 78.0％(n=184),and the Person correlation coefficient was 0.557(P＜0.001).Among FFR+patients,the minimum lumen diameter was larger[(1.56±0.34)mm vs.(1.39±0.31)mm,P=0.019],lesion length was shorter[(21.37±11.73)mm vs.(36.86±18.09)mm,P＜0.001],and coronary angiography-based index of microcirculartory resistance(AMR)was higher[(277.50±28.87)mmHg·s/m vs.(178.02±49.13)mmHg·s/m,P＜0.001]in the disconcordance group.Multivariate regression analysis suggested that AMR[OR 0.93,95％CI 0.88-0.99,P=0.030]and lesion length[OR 1.27,95％CI 1.01-1.60,P=0.045]were independent predictors of disconcordance.In the FFR-group,the lesion length was longer[(33.08±16.05)mm vs.(21.40±13.36)mm,P=0.020],and AMR[(169.66±24.01)mmHg·s/m vs.(265.95±44.78)mmHg·s/m,P＜0.001]and low-density lipoprotein-C[1.57(1.10,1.97)mmol/L vs.2.15(1.79,2.74)mmol/L,P=0.031]were lower in the disconcordance group.No statistically significant variables were identified by multivariate regression.Conclusions QFR had high diagnostic value compared with FFR.In the FFR+group,AMR and lesion length may have affected the diagnostic consistency of QFR and FFR.The study provided more evidence for the clinical application of QFR.

Based on the principle of molecular hybridization, fifteen compounds were designed and synthesized through the combination of aminothiazoloxime and phosphonate fragment. The results showed that these compounds had better inhibitory effects on the tested bacteria. In particular, the activities of compounds Ⅲf and Ⅲi against S. aureus, E. coli, methicillin-resistant S. aureus (MRSA) and fluoroquinolone-resistant E. coli (FREC) were the most significant, the minimal inhibitory concentration (MIC) of Ⅲf was 1, 8, 4, 16 μg·mL^-1 respectively, and the MIC of Ⅲi was 4, 4, 16, 8 μg·mL^-1 respectively, which were slightly lower than that of the control drug oxacillin, and their anti-E. coli, MRSA and FREC activities were superior to that of the control drug oxacillin. Their activities to S. aureus were close to that of oxacillin, and to E. coli, MRSA and FREC were superior to that of oxacillin, which is worthy of further study.

Objective To compare the effects of three kinds of artificial hydronephrosis in percutaneous nephrolithotomy.Methods A total of 120 patients who underwent single-tract percutaneous nephrolithotomy in the Eighth Hospital of Wuhan from May 2020 to April 2022 were selected and divided equally into three groups according to different methods of artificial hydronephrosis.Patients in group A were received preoperative indwelling ureteral catheter and injection of normal saline through ureteral catheter to dilate renal pelvis and form artificial hydronephrosis.Patients in Group B were placed with double J catheters before surgery,and the bladder was filled with physiological saline through the catheter.The renal pelvis was dilated through the double J catheters,resulting in artificial hydronephrosis.Patients in Group C were received intravenous injection of furosemide and stimulated diuretic method to actively dilate renal pelvis to form hydronephrosis.The one-time puncture success rate,channel establishment time,overall operation time,stone clearance rate and incidence of surgical complications of percutaneous nephrolithotomy after hydronephrosis were compared among the three groups.Results The operation was successfully completed in the three groups.There was no significant difference in the one-time puncture success rate and channel establishment time between group A and group B(P>0.05),which were all higher than group C(P<0.05).The overall operation time of group B was shorter than that of group A and group C(P<0.05).There were no significant differences in stone clearance rate and surgical complications among the three groups(P>0.05).Conclusion Preoperative indwelling of double J tubes to create artificial kidney hydronephrosis has advantages such as high success rate of one-time puncture,short channel establishment time,and surgical time.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective:To investigate the molecular mechanism of autophagy and apoptosis induced by ultrafine carbon black in human bronchial epithelial cells (BEAS-2B cells), and to study the intervention effect and mechanism of N-acetylcysteine (NAC) on ultrafine carbon black-induced oxidative damage in BEAS-2B cells.Methods:In March 2023, BEAS-2B cells were used as research object, an in vitro airway model exposed to ultrafine carbon black was constructed. A control group and three carbon black exposure groups (50, 100, 200 μg/ml) were set up, and the cells were treated with corresponding concentrations of ultrafine carbon black for 24 hours. In addition, the experiment was divided into control group, NAC+ control group, 100 μg/ml carbon black exposure group and NAC+ exposure group. The corresponding groups were treated with 2 mmol/L NAC for 1 h and 100 μg/ml ultrafine carbon black for 24 h, respectively. Cell viability was measured by CCK-8 assay. Intracellular reactive oxygen species (ROS) level was detected by chemical fluorescence method. The activities of superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) and catalase (CAT), as well as the content of malondialdehyde (MDA) were detected by colorimetry. The mRNA and protein expressions of autophagy-related genes[Atg5, Atg7, Beclin1, microtubule-associated protein light chain 3B (LC3B), p62 and lysosome-associated membrane protein 2 (LAMP2) ] and apoptosis-related genes [B-cell lymphoma 2 (Bcl-2), Bcl-2-associated X protein (Bax), Caspase3, Caspase9 and poly (ADP-ribose) polymerase 1 (PARP1) ] were determined by fluorescence quantitative PCR and Western blot. Cell apoptosis was determined by flow cytometry.Results:Compared with the control group, the relative survival rates of BEAS-2B cells in 50, 100, 200 μg/ml carbon black exposure groups were significantly decreased, the levels of ROS and MDA were significantly increased, and the activities of SOD, GSH-Px and CAT were significantly decreased ( P<0.05). The relative survival rate, ROS and MDA levels, SOD, GSH-Px and CAT activities were significantly correlated with the exposure dose of ultrafine carbon black ( rs=-0.755, 0.826, 0.934, -0.810, -0.880, -0.840, P<0.05). Compared with the control group, the relative expression levels of Atg5, Atg7, Beclin1, LC3B, p62, LAMP2, Bax, Caspase3, Caspase9, PARP1 mRNA and Atg5, Atg7, Beclin1, LC3BⅡ, p62, LAMP2, Bax, cleaved Caspase3 (C-Caspase3), cleaved Caspase9 (C-Caspase9), cleaved PARP1 (C-PARP1) protein and the ratio of LC3BⅡ/LC3BⅠ in 50, 100 and 200 μg/ml carbon black exposure groups were significantly increased, while the relative expression levels of Bcl-2 mRNA and protein were significantly decreased ( P<0.05). The changes of the above indexes were significantly correlated with the exposure dose of carbon black ( rs=0.892, 0.879, 0.944, 0.892, 0.828, 0.880, 0.814, 0.794, 0.931, 0.918, 0.813, 0.866, 0.774, 0.695, 0.918, 0.761, 0.794, 0.944, 0.833, 0.866, 0.905, -0.886, -0.748, P<0.05). Compared with 100 μg/ml carbon black exposure group, the relative survival rate, the activities of SOD, GSH-Px and CAT in NAC+exposure group were significantly increased, while the levels of ROS and MDA were significantly decreased, and the relative expression levels of LC3B, p62 and Caspase3 mRNA and protein as well as the ratio of LC3BⅡ/LC3BⅠ were significantly decreased, and the differences were statistically significant ( P<0.05). Compared with the control group, the apoptosis rates of BEAS-2B cells in 50, 100, 200 μg/ml carbon black exposure groups were significantly increased ( P<0.05), and there was a significant positive correlation between ultrafine carbon black exposure dose and cell apoptosis rate ( rs=0.944, P<0.05). While compared with 100 μg/ml carbon black exposure group, the apoptosis rate of NAC+exposure group was significantly decreased, and the difference was statistically significant ( P<0.05) . Conclusion:Cell autophagy and apoptosis may be important pathophysiological mechanisms of ultrafine carbon black-induced oxidative damage in BEAS-2B cells. NAC can alleviate the occurrence of BEAS-2B cell damage caused by ultrafine carbon black by regulating oxidative stress and the cascading autophagy and apoptosis pathways.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.