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.

ObjectiveTo investigate the mechanism of Naoxintong capsules on ischemia-reperfusion （I/R） injury in rats based on the changes of pericytes mediated by Ras homolog family member A （RHOA）/Rho-associated coiled-coil containing protein kinase 1 （ROCK1） pathway. MethodsNinety rats （15 rats for each group） were randomly divided into a sham operation group， a model group， a positive control group receiving Ginkgo biloba extract （21.6 mg·kg^-1）， and groups receiving Naoxintong capsules at low， medium， and high doses of 55， 110， and 220 mg·kg^-1 （NXT-L， NXT-M， and NXT-H groups）， respectively. Except for those in the sham operation group， all rats were subjected to transient middle cerebral artery occlusion （tMCAO） to establish the experiment model. Nerve function was assessed using a neurological function score. Cerebral blood flow was detected using a laser speckle contrast imager， and the cerebral infarction rate was calculated using 2，3，5-Triphenyl tetrazolium chloride （TTC） staining. Pathological changes were observed by hematoxylin-eosin （HE） staining and Nissl staining， while pericyte morphology was observed via transmission electron microscopy. Blood-brain barrier destruction was observed by Evans blue staining. Albumin and ischemia-modified albumin levels were measured using assay kits. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot were used to detect the mRNA and protein expression levels of RHOA， ROCK1， platelet-derived growth factor receptor β （PDGFRB）， α-smooth muscle actin （α-SMA）， tight junction protein （ZO-1）， matrix metalloproteinase-2 （MMP-2）， and matrix metalloproteinase-9 （MMP-9）. ResultsCompared with the sham operation group， the model group exhibited decreased neurological function scores， higher percentage reduction in blood flow， and increased cerebral infarction rates （P<0.01）. Additionally， cortical neuronal nucleus shrinkage， edema， a decreased number of Nissl bodies， reduced pericyte area， elevated albumin content in the cortex （P<0.05）， and increased ischemic modified albumin levels （P<0.01） were observed. The mRNA and protein expression levels of RHOA， ROCK1， PDGFRB， α-SMA， MMP-2， and MMP-9 were increased （P<0.01）， while those of ZO-1 were decreased. Compared with the model group， all treatment groups showed improved neurological function scores， lower percentage reduction in blood flow， reduced cerebral infarction rates （P<0.01）， alleviated cortical histological changes， increased number of Nissl bodies， expanded pericyte area， decreased albumin content in the cortex， and reduced ischemia-modified albumin levels （P<0.01）. The mRNA and protein expression levels of RHOA， ROCK1， PDGFRB， α-SMA， MMP-2， and MMP-9 were decreased （P<0.01）， while those of ZO-1 were increased. Among the treatment groups， the NXT-M group showed the most pronounced improvement in cerebral I/R injury. ConclusionNaoxintong capsules can restore cerebral blood supply， reduce microcirculation disturbance， and protect blood-brain barrier in rats with I/R injury. Its mechanism of action may be related to the inhibition of the RHOA/ROCK1 signaling pathway and reduced pericyte contraction.

ObjectiveTo investigate the mechanism of Naoxintong capsules on ischemia-reperfusion （I/R） injury in rats based on the changes of pericytes mediated by Ras homolog family member A （RHOA）/Rho-associated coiled-coil containing protein kinase 1 （ROCK1） pathway. MethodsNinety rats （15 rats for each group） were randomly divided into a sham operation group， a model group， a positive control group receiving Ginkgo biloba extract （21.6 mg·kg^-1）， and groups receiving Naoxintong capsules at low， medium， and high doses of 55， 110， and 220 mg·kg^-1 （NXT-L， NXT-M， and NXT-H groups）， respectively. Except for those in the sham operation group， all rats were subjected to transient middle cerebral artery occlusion （tMCAO） to establish the experiment model. Nerve function was assessed using a neurological function score. Cerebral blood flow was detected using a laser speckle contrast imager， and the cerebral infarction rate was calculated using 2，3，5-Triphenyl tetrazolium chloride （TTC） staining. Pathological changes were observed by hematoxylin-eosin （HE） staining and Nissl staining， while pericyte morphology was observed via transmission electron microscopy. Blood-brain barrier destruction was observed by Evans blue staining. Albumin and ischemia-modified albumin levels were measured using assay kits. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot were used to detect the mRNA and protein expression levels of RHOA， ROCK1， platelet-derived growth factor receptor β （PDGFRB）， α-smooth muscle actin （α-SMA）， tight junction protein （ZO-1）， matrix metalloproteinase-2 （MMP-2）， and matrix metalloproteinase-9 （MMP-9）. ResultsCompared with the sham operation group， the model group exhibited decreased neurological function scores， higher percentage reduction in blood flow， and increased cerebral infarction rates （P<0.01）. Additionally， cortical neuronal nucleus shrinkage， edema， a decreased number of Nissl bodies， reduced pericyte area， elevated albumin content in the cortex （P<0.05）， and increased ischemic modified albumin levels （P<0.01） were observed. The mRNA and protein expression levels of RHOA， ROCK1， PDGFRB， α-SMA， MMP-2， and MMP-9 were increased （P<0.01）， while those of ZO-1 were decreased. Compared with the model group， all treatment groups showed improved neurological function scores， lower percentage reduction in blood flow， reduced cerebral infarction rates （P<0.01）， alleviated cortical histological changes， increased number of Nissl bodies， expanded pericyte area， decreased albumin content in the cortex， and reduced ischemia-modified albumin levels （P<0.01）. The mRNA and protein expression levels of RHOA， ROCK1， PDGFRB， α-SMA， MMP-2， and MMP-9 were decreased （P<0.01）， while those of ZO-1 were increased. Among the treatment groups， the NXT-M group showed the most pronounced improvement in cerebral I/R injury. ConclusionNaoxintong capsules can restore cerebral blood supply， reduce microcirculation disturbance， and protect blood-brain barrier in rats with I/R injury. Its mechanism of action may be related to the inhibition of the RHOA/ROCK1 signaling pathway and reduced pericyte contraction.

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.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Breast milk is the optimal natural food for newborns. However， some newborns cannot receive maternal breast milk due to reasons such as mother-infant separation or insufficient lactation. The establishment of human milk banks （HMB） can effectively address these issues， thereby increasing the breastfeeding rate among hospitalized newborns and improving their quality of survival. However， HMB in China is still in the development and improvement stage. Its implementation involves a series of ethical issues， such as informed consent， privacy protection， economic incentives， quality and safety， and fair resource distribution， which hinder HMB’s widespread promotion. Therefore， discussing the ethical dilemmas faced by the widespread establishment of HMB in China’s hospitals and analyzing coping strategies are crucial for improving the breastfeeding rate of newborns. This paper deeply analyzed and sorted out the ethical issues and challenges currently faced by HMB in China， and proposed corresponding strategies， including “ensuring informed consent and voluntary participation of both donors and recipients，” “protecting the privacy of donors and recipients，” “establishing an ethics-based moral incentive and social support system，” “strictly controlling quality and safety issues”， and “developing fair and rational policies，” aiming to provide a reference solution for addressing ethical concerns in the establishment and operation of HMB.

Alzheimer's disease (AD), a prototypical neurodegenerative disorder, encompasses multifaceted pathological processes. As pivotal cellular structures within the central nervous system, ion channels play critical roles in regulating neuronal excitability, synaptic transmission, and neurotransmitter release. Extensive research has revealed significant alterations in the expression and function of ion channels in AD, implicating an important role of ion channels in the pathogenesis of abnormal Aβ deposition, neuroinflammation, oxidative stress, and disruptions in calcium homeostasis and neural network functionality. This review systematically summarizes the crucial roles and underlying mechanisms of ion channels in the onset and progression of AD, highlighting how these channel abnormalities contribute to AD pathophysiology. We also discuss the therapeutic potential of ion channel modulation in AD treatment, emphasizing the importance of addressing multifactorial nature and heterogeneity of AD. The development of multi-target drugs and precision therapies is proposed as a future direction of scientific research.
Alzheimer Disease/therapy* ; Humans ; Ion Channels/physiology* ; Oxidative Stress ; Animals ; Amyloid beta-Peptides/metabolism* ; Synaptic Transmission ; Calcium/metabolism*