ObjectiveTo investigate the optimal termination time for acupuncture in treating patients with acute peripheral facial paralysis and its cost-effectiveness. MethodsA total of 120 eligible patients with acute-stage peri-pheral facial paralysis were randomly assigned to either the mild dysfunction termination group and the complete recovery termination group， with 60 patients in each group. Both groups received the standard acupuncture treatment protocol. Treatment in the mild dysfunction termination group was terminated when the Sunnybrook facial grade scale （SFGS） score first reached or exceeded 83 points， while that in the complete recovery termination group was terminated when the SFGS score first reached or exceeded 95 points. Assessments were conducted before treatment， 6 and 12 months after onset. SFGS， facial disability index （FDI） including physical function （FDIp） and social function （FDIs）， self-rating anxiety scale （SAS）， and self-rating depression scale （SDS） scores were assessed before treatment， and 6 and 12 months after onset. Any acupuncture-related adverse events during treatment were recorded for safety evaluation. Treatment sessions and medical costs including direct costs， indirect costs， insurance coverage， total societal costs， and patient out-of-pocket expenses were also recorded， and an economic evaluation was conducted including cost-effectiveness ratio （CER） and incremental cost-effectiveness ratio （ICER）. ResultsUltimately， 56 patients in the mild dysfunction termination group and 55 in the complete recovery termination group completed the follow-up. At 6 and 12 months after onset， SFGS and FDIp scores in both groups improved significantly while FDIs， SAS and SDS scores decreased （P＜0.05）. Comparison of scores between groups 6 months and 12 months after onset showed no statistically significant differences （P＞0.05）. During the trial， the incidence of adverse events was 13.3% （8/60） in the mild dysfunction termination group and 18.3% （11/60） in the complete recovery termination group， with no statistically significant difference （P＞0.05）. The number of treatment sessions， total social costs， and out-of-pocket expenses in the mild dysfunction termination group were significantly lower than those in the complete recovery termination group （P＜0.05）. The CER of the mild dysfunction termination group in SFGS， FDIp， FDIs， SAS， and SDS scores was lower than that of the complete recovery termination group. The ICER analysis showed that continuing treatment until full recovery incurred an additional cost of 573.30 CNY/point in SFGS improvement， whereas 1-point improvement in FDIp， FDIs， SAS， and SDS required 21,355.25 CNY， 1779.60 CNY， 3713.96 CNY， and 2755.52 CNY， respectively. ConclusionFor acupuncture in treating acute peripheral facial palsy， terminating treatment when mild dysfunction is achieved yields long-term efficacy comparable to that of continuing treatment until complete recovery， while significantly reducing medical costs and socioeconomic burden.

HR-positive HER2-low breast cancer is a new hotspot therapeutic subtype, accounting for approximately 53.7% of all breast cancers. Patients with this type of cancer tend to have a high rate of lymph node metastasis and poor sensitivity to neoadjuvant chemotherapy and conventional anti-HER2 therapy, and exploring therapeutic strategies for this subtype of patient is a current clinical challenge. Therapeutic strategies for HR-positive HER2-low breast cancer are constantly being updated, including CDK4/6 inhibitors across the lines of therapy, and next-generation antibody-drug conjugates such as T-DXd. With the accumulation of high-level evidence-based evidence for HR-positive HER2-low breast cancer in the future, the research data will provide more practical support for precise diagnosis and treatment, thereby improving the prognosis of patients with HR-positive HER2-low breast cancer.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

Objective To explore the expression of macrophage colony-stimulating factor(MCSF)in oral squamous cell carcinoma(OSCC)and its effects on the proliferation,apoptosis,and migration of OSCC cells.Methods Normal gingival and OSCC tissues were collected,and MCSF protein expression was detected using immunohistochemistry and Western blotting.HSC-4 cells were divided into control(no transfection),shNC(transfection with sequence-free plasmid vector lentivirus),and shMCSF(transfection with silent MCSF plasmid vector lentivirus)groups.The expression of MCSF mRNA and protein in HSC-4 cells was detected using quantitative real-time PCR and Western blotting,respectively.Scratch and Transwell assays were used to detect the migration ability of HSC-4 cells.The TUNEL assay determined the apoptosis ability of HSC-4 cells,while a colony formation assay detected the proliferation ability of HSC-4 cells.Results MCSF was highly expressed in OSCC tissues and HSC-4 cells but weakly expressed in normal gingival tissues and Hacat cells.The migration and proliferation ability of HSC-4 cells in the shMCSF group was lower than that in the shNC group(P＜0.05).The apoptosis ability of HSC-4 cells in the shMCSF group was higher than that in the shNC group(P＜0.05).Conclusion MCSF is upregu-lated in OSCC tissues,promoting cell migration and proliferation,while also reducing the apoptosis of OSCC cells.

Obejective To explore whether it is possible to detect the 123I-prostate-specific membrane antigen(PSMA)radiation value of the puncture tissue during prostate biopsy to achieve real-time,rapid,and accurate identification of benign and malignant prostate tissues,so as to improve the current clinical biopsy strategy and achieve accurate diagnosis of prostate cancer during operation with fewer puncture needles.Method In this prospective,diagnostic trial,we included 29 patients with suspected prostate cancer.All patients underwent transperineal biopsy guided by ultrasound within 24 hours after injection of 123I-PSMA,a total of 435 punctures were performed.The radiation value of punctured tissue was measured in real-time with a gamma counter.Pearson test is used to correlate radiation value with histopathology.Result The median radiation value of prostate cancer tissue(1 906.50 cpm)was significantly higher than that of benign prostate tissue(415.00 cpm).The optimal cut-off value for distinguishing benign and malignant prostate tissues was 828.50 cpm.The median radiation value of clinically significant prostate cancer tissue(2 652.50 cpm)was significantly higher than that of clinically insignificant prostate cancer(1 386.00 cpm).The optimal cut-off value for distinguishing clinically significant and clinically insignificant prostate cancer tissues was 1 767.00 cpm.In additional,there was a significant positive correlation between the radiation value of puncture tissue and ISUP pathological grade(r=0.834).Conclusion It is preliminarily confirmed that detection of 123I-PSMA radiation value of prostate puncture tissue can realize real-time,rapid and accurate identification of benign and malignant prostate tissues during operation.

Objective This study aimed to investigate the effects of sleep interruption(SI)cycles on emotional behavior in ICR mice,and to establish a mouse model of comorbid anxiety and depression induced by SI.Methods Seventy-two male ICR mice(4～5 weeks old)were divided randomly into a blank group and a model group.Mice in the model group were subjected to SI stress modeling for 1,2,and 3 weeks,respectively.After modeling,emotional behaviors were evaluated using open-field,elevated plus maze,light-dark box,marble-burying,and forced-swimming tests.Serum corticosterone levels were detected by enzyme-linked immunosorbent assay.Results Mice in the model group buried significantly more marbles after 1 week of SI stress,compared with the blank group(P＜0.05).After 2 weeks of stress,mice in the model group also showed a significant decrease in the number of crossings in the light-dark box(P＜0.05)and a significant increase in the number of marbles buried(P＜0.01)compared with the control group.After 3 weeks of stress,mice in the model group showed a significant increase in the number of marbles buried(P＜0.05),a significant decrease in the number of crossings in the light-dark box(P＜0.05),and a significant increase in immobility time in the forced-swim test(P＜0.01).Conclusions ICR mice exhibited significant anxiety-related behaviors after 2 weeks of SI modeling and significant anxiety-and depressive-related behavioral changes after 3 weeks.Three weeks of SI stress can be used to establish a model of comorbid anxiety and depression.

Galectin-9 (Gal-9), a member of the β-galactoside-binding lectin family, is widely expressed in various tissues and cells. It can specifically bind to multiple glycoprotein receptors, including the receptors of Tim-3, CD44, 4-1BB/CD137, and Dectin-1, thereby regulating the activity of immune cells and participating in crucial physiological and pathological processes such as immune regulation and tumor development. Given its role in immunomodulation, Gal-9 is considered a potential target for immunotherapy, showing promising prospects in the treatment of various diseases, including autoimmune disorders, transplantation rejection, pregnancy complications, inflammation, infection, and cancer. This review summarizes the biological effects mediated by Gal-9 upon binding to its receptors, which may help to explore the potential application value of Gal-9 in clinical diagnosis and therapy.

Objective:To investigate the differences of the glymphatic system (GS) function between patients with mesial temporal lobe epilepsy with hippocampal sclerosis (mTLE-HS) and healthy controls and between different seizure types by using diffusion tensor imaging along perivascular space (DTI-ALPS), and to analyze the correlation between GS function and the course of disease, as well as the efficacy of predicting the surgical outcome.Methods:This study was a cross-sectional study. A total of 171 patients with mTLE-HS (mTLE-HS group) and 75 healthy volunteers (HC group) were retrospectively enrolled from July 2009 to July 2021 at Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University. The general information of all subjects, such as seizure type (partial seizure, secondary generalized seizure), surgical outcome, etc., was analyzed. The 3D magnetization prepared rapid gradient echo T 1WI and DTI sequence images were collected. The VBM analysis method was used to segment cerebrospinal fluid and calculate the volume. The ALPS index of the bilateral brain was calculated using the Atlas-based DTI-ALPS method. Independent sample t-test or paired t test were used to compare the ALPS index between the mTLE-HS group and HC group, and between patients with different seizure types. Pearson correlation analysis was used to analyze the correlation between bilateral ALPS index and disease duration in mTLE-HS group. The predictive value of the ALPS index for surgical outcomes was evaluated by receiver operating characteristics curve and area under the curve. Results:Among the 171 mTLE-HS patients, 98 patients were mTLE with left-side HS (mTLE-LHS) and 73 patients were mTLE with right-side HS (mTLE-RHS); 37 patients underwent surgical treatment, including 27 with good prognosis and 10 with poor prognosis. Compared with the HC group, the left-side ALPS index of mTLE-LHS and mTLE-RHS were both decreased ( P<0.05). The right-side ALPS index in mTLE-RHS was lower than that in the HC group ( P<0.001). There was no significant difference in the right-side ALPS index between mTLE-LHS and HC group ( P=0.080). The ALPS index on the affected side of patients with secondary generalized seizures was significantly lower than that of patients with only partial seizures (all P<0.05), but the difference in ALPS index on the healthy side was not statistically significant( P>0.05). The left-side and right-side ALPS index in mTLE-LHS were negatively correlated with disease duration ( r=-0.272, P=0.007; r=-0.307, P=0.002), but no significant correlation was found between the left-side or right-side ALPS index in mTLE-RHS (all P>0.05). The DTI-ALPS index on the affected side in mTLE-HS patients exhibited good diagnostic accuracy for surgical outcome classification, with an area under the curve of 0.778. Conclusions:The patients with mTLE-HS exhibit dysfunction of the GS, and the degree of impairment is related to the type of seizure and the course of epilepsy. The ALPS index, which characterizes the function of GS, demonstrates good diagnostic accuracy for classifying surgical outcomes.

Due to its synergistic effects and reduced side effects, combination therapy has become an important strategy for treating complex diseases. In traditional Chinese medicine (TCM), the "monarch, minister, assistant, envoy" compatibilities theory provides a systematic framework for drug compatibility and has guided the formation of a large number of classic formulas. However, due to the complex compositions and diverse mechanisms of action of TCM, it is difficult to comprehensively reveal its potential synergistic patterns using traditional methods. Synergistic prediction based on molecular compatibility theory provides new ideas for identifying combinations of active compounds in TCM. Compared to resource-intensive traditional experimental methods, artificial intelligence possesses the ability to mine synergistic patterns from multi-omics and structural data, providing an efficient means for modeling and optimizing TCM combinations. This paper systematically reviews the application progress of AI in the synergistic prediction of TCM active compounds and explores the challenges and prospects of its application in modeling combination relationships, thereby contributing to the modernization of TCM theory and methodological innovation.
Artificial Intelligence ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Drug Synergism

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.