BACKGROUND:Spinal cord injury is a neurological disorder caused by traumatic or non-traumatic events,often leading to severe functional impairment below the injured segment.In recent years,neural stem cell transplantation has been considered to have significant therapeutic potential in regulating the inflammatory response after spinal cord injury,inhibiting excessive proliferation of glial scars,and promoting nerve regeneration. OBJECTIVE:To review and discuss the potential mechanism of action of acupuncture and neural stem cell transplantation therapy in inhibiting spinal cord injury-induced secondary injury,and to delve into the scientific basis for its treatment of spinal cord injury. METHODS:PubMed,Elsevier,WanFang,and CNKI databases were searched using"spinal cord injury,acupuncture,neural stem cells,SDF-1α/CXCR4 axis"as Chinese and English search terms.Totally 96 articles were finally included.The research findings of acupuncture combined with neural stem cells in the treatment of spinal cord injury were summarized and analyzed,and the mechanism of this combination therapy in the treatment of secondary injury after spinal cord injury was summarized. RESULTS AND CONCLUSION:(1)The stromal-derived factor 1α(SDF-1α)/chemokine receptor 4(CXCR4)axis plays a crucial role in neural stem cell transplantation for spinal cord injury.This signaling mechanism not only affects neural stem cell migration,proliferation,and differentiation,but is also a key factor in determining the efficiency of stem cell homing to the injury site.Therefore,the regulation of targeting this axis is of great significance in enhancing the therapeutic effect of spinal cord injury.(2)Acupuncture,as a traditional Chinese medicine therapy,shows unique advantages in the regulation of secondary injury in spinal cord injury.It can effectively reduce secondary injury after spinal cord injury by regulating inflammatory response,inhibiting apoptosis,improving microcirculation,reducing glial scar formation,and counteracting oxidative stress.(3)Acupuncture was also able to influence the expression and function of the SDF-1α/CXCR4 axis,thereby enhancing the homing and survival ability of neural stem cells and promoting nerve regeneration and functional recovery.(4)The therapy combining acupuncture and stem cell transplantation is an innovative treatment strategy for spinal cord injury and suitable for repairing neural circuits.It combines the wisdom of traditional Chinese medicine with the advantages of modern biotechnology,providing a new treatment option for spinal cord injury patients.However,this combination therapy is still in the research and exploration stage,and its long-term efficacy and safety need to be further verified.(5)Taken together,acupuncture and neural stem cell transplantation for the treatment of spinal cord injury has great potential for clinical application,but in-depth research and optimization of treatment options are still needed.In the future,we look forward to further revealing the efficacy mechanism and optimal indications of this therapy through more clinical trials and mechanism studies,so as to bring better hope of recovery and more efficient therapeutic effects to spinal cord injury patients.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

BackgroundCurrently， the problem of depressed mood in college students is becoming more prominent. The experience of childhood maltreatment is a significant contributor to depression among college students. Although the association between the two has been confirmed， the specific psychosocial mechanisms underlying how childhood maltreatment affects college students' mental health remain insufficiently evidenced. ObjectiveTo explore the mediating role of emotion regulation difficulties in the relationship between childhood maltreatment and depression among college students， and to investigate the moderated effects of psychological resilience and family socioeconomic status， aiming to provide references for improving depressive symptoms in college students. MethodsOn 14 March 2024， a cluster sampling method was employed to recruit 751 college students from a university in Heilongjiang Province. Participants were assessed with Childhood Trauma Questionnaire （CTQ）， Difficulties in Emotion Regulation Scale （DERS）， Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， 10-item Connor-Davidson Resilience Scale （CD-RISC-10） and Family Socioeconomic Status Questionnaire. Pearson correlation analysis was adopted to examine the correlation between the scores of scales. Model 4 and model 7 in Process 4.2 were used to test the mediating effects of emotional regulation difficulties and the moderated effects of psychological resilience and family socioeconomic status. Results① A total of 712 （94.81%） valid questionnaires were collected. ② College students' CTQ score was positively correlated with DERS score and PHQ-9 score （r=0.296， 0.507， P<0.01）， and negatively correlated with CD-RISC-10 score and Family Socioeconomic Status Questionnaire score （r=-0.148， -0.229， P<0.01）. ③ The indirect effect value of difficulties in emotion regulation on the relationship between childhood maltreatment and depression was 0.091 （95% CI： 0.018~0.046）， accounting for 17.95% of the total effect. ④ The first half of the mediation model "childhood maltreatment → difficulties in emotion regulation → depression" （childhood maltreatment → difficulties in emotion regulation） was moderated by psychological resilience （β=-0.030， t=-6.147， 95% CI： -0.040~-0.020） and family socioeconomic status （β=-0.051， t=-3.929， 95% CI： -0.077~-0.026）. ConclusionChildhood maltreatment exerts both a direct effect on college students' depression and an indirect effect through emotion regulation difficulties. The childhood maltreatment → emotion regulation difficulties pathway in this mediation model is moderated by psychological resilience and family socioeconomic status. ［Funded by Qiqihar Medical University Graduate Student Innovation Fund Project （number， QYYCX2023-48）； Special Research Fund Project for Young Doctors of Qiqihar Academy of Medical Sciences （number， QMSI2021B-08）］

Radical prostatectomy (RP) is the main therapeutic method for early localized prostate cancer.With the advancement of technology，robot-assisted radical prostatectomy (RARP) is widely applied，which can enable better achievement of the “five wins”, including long-term tumor control，recovery of urinary control，negative surgical margins，preservation of erectile function，and reduced postoperative complications，thereby improving the treatment efficacy.This paper reviews the various surgical approaches (transabdominal，transperitoneal，transvesical，transperineal，single-hole)，current status of optional surgical equipment (da Vinci surgical robot，domestic robot)，and advantages and limitations of RARP，so as to provide reference for clinicians in choosing the optimal surgical method for prostate cancer.

Objective To investigate the effect and mechanism of Yiyuan moxibustion on urinary storage function in rats with neurogenic bladder(NB)after suprasacral spinal cord injury(SCI)based on adenosine activated protein kinase(AMPK)-connexin 43(Cx43)pathway.Methods Twelve female Sprague-Dawley rats were selected as the sham operation group using the random number table method,and 68 rats were used to prepare the suprasacral SCI model according to the modified Hassan Shaker spinal cord transection method.After the SCI model was stable,the standard NB model after SCI was screened out.The rats with successful modeling were divided into the model group(n=14),the Yiyuan moxibustion group(n=14),the inhibitor group(n=14),and the Yiyuan moxibustion+inhibitor group(n=14)according to the random number table method.The rats in the Yiyuan moxibustion group were treated with Yiyuan moxibustion.The rats in the inhibitor group were injected with AMPK inhibitor dorsomorphin(0.2 mg/kg)by tail vein.The rats in the Yiyuan moxibustion+inhibitor group were treated with Yiyuan moxibustion combined with tail vein injection of dorsomorphin(0.2 mg/kg).The sham operation group and the model group did not receive any intervention for 14 days.After the intervention,the bladder function of rats was evaluated by urodynamics.HE staining was used to observe morphological changes of the bladder tissue;the content of adenosine triphosphate(ATP)in bladder tissue was detected by colorimetry.The positive expressions of phosphorylated AMPK(p-AMPK),Cx43 and tyrosine protein kinase receptor(C-kit)in bladder tissue were detected by immunohistochemistry.The protein expressions of AMPK,p-AMPK,Cx43 and C-kit in bladder tissue were detected by Western blotting.Results Compared with the model group,the maximum bladder capacity and bladder compliance of the rats in the Yiyuan moxibustion group were increased,the leak point pressure was decreased,the cells in the Yiyuan moxibustion group were relatively regular and orderly,the vacuolar cells were reduced,and the tissue edema was reduced;the ATP content in the bladder tissue was decreased,the positive expression rate of p-AMPK was increased,the positive expression rate of Cx43 and C-kit were decreased,the protein expressions of p-AMPK protein was increased,the expression of Cx43 and C-kit were decreased,and the mRNA expression of Cx43 and C-kit were decreased(P<0.05).Compared with the Yiyuan moxibustion+inhibitor group,the maximum bladder capacity and bladder compliance of the rats in the Yiyuan moxibustion group increased,the leak point pressure decreased,the cells in the Yiyuan moxibustion group were arranged more closely and the tissue edema was reduced;the ATP content in the bladder tissue decreased,the positive expression rate of p-AMPK increased,the positive expression rates of Cx43 and C-kit decreased,the protein expression of p-AMPK increased,the protein expressions of Cx43 and C-kit decreased,and the mRNA expressions of Cx43 and C-kit decreased(P<0.05).Conclusion Yiyuan moxibustion can improve the urinary storage function of NB rats after suprasacral SCI,and its mechanism may be related to activating the AMPK-Cx43 pathway in bladder tissue,reducing the excitation transmission between bladder detrusor cells,thereby reducing the frequency of smooth muscle contraction.

Perimenopausal syndrome （MPS）， a common endocrine system disease， is one of the diseases responding specifically to traditional Chinese medicine （TCM）. The China Association of Chinese Medicine organized experts in endocrinology， gynecology， and interdisciplinary fields of both Western and Chinese medicine to discuss the advantages and challenges of diagnosing and treating MPS with Western medicine， TCM， and integrative medicine. Experts at the conference believe that MPS is initiated by estrogen decline and rooted in deficiency， with the pathogenesis being imbalance between Yin and Yang in the kidney. The hormone replacement therapy in Western medicine for menopause can rapidly alleviate related symptoms by quickly restoring the estrogen level and timely detect and delay complications of menopause， whereas such a therapy has certain risks， necessitating close monitoring of adverse reactions. Moreover， the various contraindications and precautions limit the clinical application of the hormone replacement therapy. TCM has advantages in synergistically alleviating symptoms such as hot flashes， sweating， sleep disorders， and emotional abnormalities of MPS without causing obvious adverse reactions. However， its efficacy is slower than the hormone replacement therapy， and the TCM evidence for preventing and treating complications of menopause remains unclear. Three suggestions were proposed for the future development of both Western and TCM for ameliorating MPS. First， an integrated diagnosis and treatment system for MPS with both Western and Chinese medicine should be established. Second， high-quality evidence-based interventions for MPS should be developed with TCM alone or in combination with Western medicine. Third， efforts should be made to promote the new TCM drug development and the interdisciplinary cooperation for treating MPS.

AIM: To explore the predictive value of the combination of triglyceride-glucose(TyG)index, nesfatin-1, and retinol-binding protein 4(RBP4)for diabetic retinopathy, and provide evidence for early prediction of DR.METHODS: The clinical data of 164 patients with type 2 diabetes mellitus(T2DM)who admitted to the hospital between February 2022 and December 2023 were retrospectively collected. Based on the fundus examination results, these patients were divided into two groups: the DR group(n=43), including proliferative DR(PDR, n=19)and non-proliferative DR(NPDR, n=24), and the T2DM without DR group(n=121). The TyG index and the level of nesfatin-1 and RBP4 were measured after admission.RESULTS:T2DM patients with DR had a longer disease duration compared with T2DM patients without DR, and the DR group had higher fasting blood glucose, glycosylated hemoglobin, triglyceride, total cholesterol, low-density lipoprotein, TyG index, and RBP4 levels, while lower high-density lipoprotein and nesfatin-1 levels(all P<0.001). Multivariate Logistic regression analysis indicated that the duration of T2DM(OR=1.338, 95%CI: 1.059-1.690), glycosylated hemoglobin(OR=5.065, 95%CI: 1.659-15.470), low density lipoprotein(OR=12.715, 95%CI: 2.385-67.790), TyG index(OR=23.057, 95%CI: 2.936-181.073)and RBP4(OR=1.319, 95%CI: 1.028-1.692)were the independent risk factors for DR, while nesfatin-1(OR=0.007, 95%CI: 0.003-0.016)was an independent protective factor for DR. The ROC curves were drawn, and the results indicated that the TyG index, nesfatin-1, and RBP4 had certain predictive values for DR patients with T2DM, with areas under curve(AUC)of 0.804, 0.878 and 0.738, respectively. The combined AUC of the TyG index, nesfatin-1, and RBP4 was 0.946, sensitivity was 83.72%, and specificity was 92.56%. Patients with PDR had a higher TyG index, higher RBP4 level, and lower nesfatin-1 level than patients with NPDR(all P<0.05). Spearman's correlations indicated a positive association between the TyG index, RBP4 and DR degree, and a negative association between nesfatin-1 and DR degree(rs=0.557, 0.392, -0.359, repectively, all P<0.05). Pearson correlation analysis indicated a negative correlation between the TyG index and the levels of nesfatin-1, a positive correlation between the TyG index and the levels of RBP4, and a negative correlation between the levels of nesfatin-1 and RBP4 in DR patients with T2DM(r=-0.486, 0.538, -0.592, all P<0.05).CONCLUSION: The serum of TyG index and the levels of nesfatin-1 and RBP4 were early predictive markers for DR and were associated with the risk of the occurrence and severity of the disease. Besides, the combined prediction performance of TyG index, nesfatin-1, and RBP4 was better for DR.

Background Mercury, as a global heavy metal pollutant, poses a serious threat to human health. The toxicity of mercury depends on its chemical form. Distinguishing the forms of mercury in the environment is of great significance for mercury management and reducing human mercury exposure risks. Objective To establish a non-targeted metallomics method based on synchrotron radiation X-ray fluorescence (SRXRF) spectroscopy combined with machine learning to screen inorganic mercury (IHg) or methylmercury (MeHg) exposed rice plants. Methods Rice seeds were exposed to ultra-pure water (control group), 0.1 mg·L⁻¹ IHg (IHg group) or MeHg (MeHg group) solutions, respectively. After germination, the seedlings were cultured for 21 d, and rice leaves were collected, dried, weighed, and pressed. The content of metallome in rice leaves was determined by SRXRF. Machine learning models including soft independent modeling cluster analysis (SIMCA), partial least squares discriminant analysis (PLS-DA), and logistic regression (LR) were used to classify the SRXRF full spectra of different groups and find the best model to distinguish rice exposed to IHg or MeHg. Besides, characteristic elements were selected as input parameters to optimize the model by improving computing speed and reducing model calculation. Results The SRXRF spectral intensities of the control group, IHg group, and MeHg group were different, indicating that exposure to IHg and MeHg can interfere the homeostasis of metallome in rice leaves. The results of principal component analysis (PCA) of SRXRF spectra showed that the control group could be well distinguished from the mercury exposed groups, but the IHg group and the MeHg group were mostly overlapped. The accuracy rates of the three models (PLS-DA, SIMCA, and LR) were higher than 98% for the training set, higher than 95% for the validation set, and higher than 94% for the cross-validation set. Besides, the accuracy of the LR model was higher than that of the PLS-DA model and the SIMCA model. Furthermore, the accuracy was 92.05% when using characteristic elements K, Ca, Mn, Fe, and Zn selected by LR to distinguish the IHg group and the MeHg group. Compared with the full spectra model, although the prediction accuracy of the characteristic spectral model decreased, the input parameters of the model decreased by 99.51%, and precision, recall, and F1 score were above 84.48%, indicating that the model could distinguish rice exposed to different mercury forms. Conclusion Non-targeted metallomics method based on SRXRF and machine learning can be applied for high-throughput screening of rice exposed to different forms of mercury and thus decrease the risks of people being exposed to mercury.