Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

OBJECTIVES: To investigate the effect of orexin-A-mediated regulation of ionotropic glutamate receptors for promoting motor function recovery in rats with spinal cord injury (SCI). METHODS: Thirty-six newborn SD rats (aged 7-14 days) were randomized into 6 groups (n=6), including a normal control group, a sham-operated group, and 4 SCI groups with daily intrathecal injection of saline, DNQX, orexin-A, or orexin-A+DNQX for 3 consecutive days after PCI. Motor function of the rats were evaluated using blood-brain barrier (BBB) score and inclined plane test 1 day before and at 1, 3, and 7 days after SCI. For patch-clamp experiment, spinal cord slices from newborn rats in the control, sham-operated, SCI, and SCI+orexin groups were prepared, and ventral horn neurons were acutely isolated to determine the reversal potential and dynamic indicators of glutamate receptor-mediated currents under glutamate perfusion. RESULTS: At 3 and 7 days after SCI, the orexin-A-treated rats showed significantly higher BBB scores and grip tilt angles than those with other interventions. Compared with those treated with DNQX alone, the rats receiving the combined treatment with orexin and DNQX had significantly higher BBB scores and grip tilt angles on day 7 after PCI. In the patch-clamp experiment, the ventral horn neurons from SCI rat models exhibited obviously higher reversal potential and greater rise slope of glutamate current with shorter decay time than those from sham-operated and orexin-treated rats. CONCLUSIONS Orexin-A promotes motor function recovery in rats after SCI possibly by improving the function of the ionotropic glutamate receptors.
Animals ; Spinal Cord Injuries/drug therapy* ; Rats ; Rats, Sprague-Dawley ; Receptors, Ionotropic Glutamate/metabolism* ; Recovery of Function/drug effects* ; Orexins/pharmacology* ; Male ; Female ; Animals, Newborn ; Neuropeptides/pharmacology* ; Intracellular Signaling Peptides and Proteins/pharmacology*

Objective To investigate the role of reactive oxygen species(ROS)and the extracellular signal-regulated kinase(ERK)/cAMP response element binding protein(CREB)signaling pathway in arsenic-induced apoptosis in HT-22 cells.Methods HT-22 cells were cultured in vitro and exposed to NaAsO2.The cells were divided into the following groups:control group,4,6,8,and 10 μmol/L NaAsO2 groups,NAC(5 mmol/L)group,and NAC(5 mmol/L)+NaAsO2(10 μmol/L)group.ROS levels were measured using a DCFH-DA assay.The expression of ERK/CREB signaling pathway-related and apoptosis-related proteins were analyzed by Western blotting.Apop-tosis rates were evaluated using flow cytometry.Results Compared with the control group,ROS levels in HT-22 cells significantly increased,while p-ERK protein level in the nucleus and p-CREB and Bcl-2 protein levels in the cells significantly decreased in the NaAsO2 only exposed groups(P＜0.05).Additionally,the apoptosis rate significantly increased in the 8 and 10 μmol/L NaAsO2 groups compared with the control group(P＜0.05).In the NAC+NaAsO2 group,ROS levels and the apoptosis rate significantly decreased while p-ERK protein level in the nucleus and p-CREB and Bcl-2 protein levels in the cells significantly increased compared with the 10 μmol/L NaAsO2 group(P＜0.05).Conclusion Arsenic exposure induces oxidative stress,inhibits the nuclear translocation of p-ERK,and dis-rupts the CREB signaling pathway,leading to apoptosis.

Serotonin syndrome (SS), also known as serotonin toxicity, is a rare but life-threatening drug reaction syndrome. This case involves a 17-year-old female patient who developed tremors, fatigue, and tachycardia after taking fluoxetine combined with bupropion and tandospirone for five days. SS was highly suspected, and her symptoms improved following treatment targeted at serotonin syndrome. This case is reported to raise awareness among clinicians about the potential adverse reactions of drug combinations, the importance of early identification of SS symptoms, and precautions when prescribing combined medications to avoid serious consequences.

Objective:To compare the Kadish T staging, AJCC T staging, and Dulguerov T staging system in terms of their impact on surgical treatment selection and survival prognosis in patients with olfactory neuroblastoma (ONB).Methods:The cases of pathologically confirmed ONB from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2018 were collected and screened. Tumors were staged according to Kadish staging system, AJCC T staging and Dulguerov T staging guidelines. Kaplan-Meier analysis was used to calculate 5-and 10-year overall survival rates for different stages, and the log-rank test was used to detect statistically significant differences. Multivariate analysis was performed using Logistic regression and Cox regression models to explore factors influencing surgical treatment choices and prognosis in ONB patients.Results:A total of 519 ONB patients with complete data available for analysis were included in the study. Multivariate analysis revealed that tumor staging, age, and marital status were closely associated with surgical treatment selection. The 10-year survival rates for patients in stage A, B, and C were 74.1%, 68.7%, 55.0%, respectively. The multivariate analysis failed to show a significant prognostic gradient between adjacent stages in any of the three staging systems.Conclusions:The selection of surgical treatment for ONB is influenced by clinical characteristics such as tumor stage and age. The commonly used Kadish, AJCC T, and Dulguerov T staging systems do not significantly differentiate prognosis between adjacent stages, highlighting the need for the development of a more accurate and comprehensive staging system.

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

Objective To investigate the role of reactive oxygen species(ROS)and the extracellular signal-regulated kinase(ERK)/cAMP response element binding protein(CREB)signaling pathway in arsenic-induced apoptosis in HT-22 cells.Methods HT-22 cells were cultured in vitro and exposed to NaAsO2.The cells were divided into the following groups:control group,4,6,8,and 10 μmol/L NaAsO2 groups,NAC(5 mmol/L)group,and NAC(5 mmol/L)+NaAsO2(10 μmol/L)group.ROS levels were measured using a DCFH-DA assay.The expression of ERK/CREB signaling pathway-related and apoptosis-related proteins were analyzed by Western blotting.Apop-tosis rates were evaluated using flow cytometry.Results Compared with the control group,ROS levels in HT-22 cells significantly increased,while p-ERK protein level in the nucleus and p-CREB and Bcl-2 protein levels in the cells significantly decreased in the NaAsO2 only exposed groups(P＜0.05).Additionally,the apoptosis rate significantly increased in the 8 and 10 μmol/L NaAsO2 groups compared with the control group(P＜0.05).In the NAC+NaAsO2 group,ROS levels and the apoptosis rate significantly decreased while p-ERK protein level in the nucleus and p-CREB and Bcl-2 protein levels in the cells significantly increased compared with the 10 μmol/L NaAsO2 group(P＜0.05).Conclusion Arsenic exposure induces oxidative stress,inhibits the nuclear translocation of p-ERK,and dis-rupts the CREB signaling pathway,leading to apoptosis.

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

Serotonin syndrome (SS), also known as serotonin toxicity, is a rare but life-threatening drug reaction syndrome. This case involves a 17-year-old female patient who developed tremors, fatigue, and tachycardia after taking fluoxetine combined with bupropion and tandospirone for five days. SS was highly suspected, and her symptoms improved following treatment targeted at serotonin syndrome. This case is reported to raise awareness among clinicians about the potential adverse reactions of drug combinations, the importance of early identification of SS symptoms, and precautions when prescribing combined medications to avoid serious consequences.

Objective:To compare the Kadish T staging, AJCC T staging, and Dulguerov T staging system in terms of their impact on surgical treatment selection and survival prognosis in patients with olfactory neuroblastoma (ONB).Methods:The cases of pathologically confirmed ONB from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2018 were collected and screened. Tumors were staged according to Kadish staging system, AJCC T staging and Dulguerov T staging guidelines. Kaplan-Meier analysis was used to calculate 5-and 10-year overall survival rates for different stages, and the log-rank test was used to detect statistically significant differences. Multivariate analysis was performed using Logistic regression and Cox regression models to explore factors influencing surgical treatment choices and prognosis in ONB patients.Results:A total of 519 ONB patients with complete data available for analysis were included in the study. Multivariate analysis revealed that tumor staging, age, and marital status were closely associated with surgical treatment selection. The 10-year survival rates for patients in stage A, B, and C were 74.1%, 68.7%, 55.0%, respectively. The multivariate analysis failed to show a significant prognostic gradient between adjacent stages in any of the three staging systems.Conclusions:The selection of surgical treatment for ONB is influenced by clinical characteristics such as tumor stage and age. The commonly used Kadish, AJCC T, and Dulguerov T staging systems do not significantly differentiate prognosis between adjacent stages, highlighting the need for the development of a more accurate and comprehensive staging system.