BACKGROUND:In recent years,artificial intelligence has gradually emerged and has been applied in various fields such as spinal cord nerve injury and repair,which has a positive impact on clinical treatment. OBJECTIVE:To study the application progress of artificial intelligence in the diagnosis,treatment,and rehabilitation of spinal cord nerve injury and repair,clarify the research hotspots and shortcomings in this field,and provide suggestions for future research work. METHODS:Relevant literature on artificial intelligence in the field of spinal cord nerve injury and repair was retrieved on the Web of Science core collection database until 2023.CiteSpace 6.1.R6 and VOSviewer 1.6.19 software was used to perform general literature analysis,co-citation of literature,co-citation of journals,double image overlay of journals,keyword clustering,and other visual analysis on the literature data. RESULTS AND CONCLUSION:(1)A total of 1 713 articles were selected,and the annual publication volume in this field showed a fluctuating upward trend,with the United States taking the lead,and Kadone and Hideki being the authors with the highest publication volume.ARCH PHYS MED REHAB was the journal with the highest number of citations.(2)Keyword co-occurrence and cluster analysis showed that after removing keywords similar to the search terms,the main keywords were divided into three main clusters:Exoskeleton and exercise rehabilitation(the largest core hotspot);machine learning and neural plasticity;robotics and rehabilitation training.(3)Keyword burst analysis showed that deep learning and artificial intelligence had become burst terms in the past five years.(4)The results of in-depth analysis of co cited and highly cited literature showed that the hotspots of artificial intelligence in the field of spinal cord nerve injury and repair were mainly focused on powered exoskeletons,gaits,electrical nerve stimulation,intracortical brain-computer interface(IBCI),robots,and polymer biomaterials,and neural stem cell.(5)The research on artificial intelligence in the field of spinal cord nerve injury and repair has shown an upward trend in recent years.The focus of this field had gradually shifted from single treatment methods such as exoskeletons and electrical stimulation to intelligent,precise,and personalized directions.(6)There were some limitations in this field,such as the consequences of missing or imbalanced data,low data accuracy and reproducibility,and ethical issues(such as privacy,research transparency,and clinical reliability).Future research should address the issue of data collection,requiring large sample,high-quality clinical datasets to establish effective artificial intelligence models.At the same time,the research on genomics and other mechanisms in this field is very weak.In the future,various machine learning technologies such as brain chips can be used,and gene editing therapy,single-cell spatial transcriptome and other methods can be used to study the basic mechanisms of regeneration-related gene upregulation and axon growth structural protein production.

The importance of gait assessment in the rehabilitation of cancer patients is gradually being recognized. However, quantitative analysis of balance ability in cancer patients is still limited. A total of 102 cancer patients meeting the inclusion criteria were recruited from Hefei Cancer Hospital, Chinese Academy of Sciences. Their balance ability was evaluated using the Berg Balance Scale (BBS). Gait data were collected by an electronic walkway and an IMU sensor system, including spatial-temporal and kinematic gait features such as step length, cadence, support time, and range of motion. Recursive feature elimination was used for feature selection. Ridge, Elastic Net, SVR, RF, and AdaBoost models were used to predict balance ability scores. Five-fold cross-validation was used to evaluate the performance of these models. Results show that the SVR model achieves the best performance with fifteen features (RMSE=3.22, R ²=0.91), followed by Ridge (RMSE=3.63, R ²=0.89). A method for evaluating balance ability based on gait features is proposed, providing a quantitative tool for personalized rehabilitation interventions in cancer patients.
Humans ; Postural Balance ; Neoplasms/rehabilitation* ; Gait ; Gait Analysis ; Biomechanical Phenomena ; Female

Prostate cancer is the second most common cancer in men, accounting for 14.1% of new cancer cases in 2020. The aggressiveness of prostate cancer is highly variable, depending on its grade and stage at the time of diagnosis. Despite recent advances in prostate cancer treatment, some patients still experience recurrence or even progression after undergoing radical treatment. Accurate initial staging and monitoring for recurrence determine patient management, which in turn affect patient prognosis and survival. Classical imaging has limitations in the diagnosis and treatment of prostate cancer, but the use of novel molecular probes has improved the detection rate, specificity, and accuracy of prostate cancer detection. Molecular probe-based imaging modalities allow the visualization and quantitative measurement of biological processes at the molecular and cellular levels in living systems. An increased understanding of tumor biology of prostate cancer and the discovery of new tumor biomarkers have allowed the exploration of additional molecular probe targets. The development of novel ligands and advances in nano-based delivery technologies have accelerated the research and development of molecular probes. Here, we summarize the use of molecular probes in positron emission tomography (PET), single-photon emission computed tomography (SPECT), magnetic resonance imaging (MRI), optical imaging, and ultrasound imaging, and provide a brief overview of important target molecules in prostate cancer.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Molecular Probes ; Molecular Imaging/methods* ; Magnetic Resonance Imaging ; Positron-Emission Tomography ; Tomography, Emission-Computed, Single-Photon ; Ultrasonography ; Optical Imaging ; Biomarkers, Tumor ; Precision Medicine/methods*

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder worldwide, causing dementia and affecting millions of individuals. One prominent characteristic in the brains of AD patients is glucose hypometabolism. In the context of galactose metabolism, intracellular glucose levels are heightened. Galactose mutarotase (GALM) plays a crucial role in maintaining normal galactose metabolism by catalyzing the conversion of β-D-galactose into α-D-galactose (α-D-G). The latter is then converted into glucose-6-phosphate, improving glucose metabolism levels. However, the involvement of GALM in AD progression is still unclear. In the present study, we found that the expression of GALM was significantly increased in AD patients and model mice. Genetic knockdown of GALM using adeno-associated virus did not change the expression of amyloid precursor protein (APP) and APP-cleaving enzymes including a disintegrin and metalloprotease 10 (ADAM10), β-site APP-cleaving enzyme 1 (BACE1), and presenilin-1 (PS1). Interestingly, genetic overexpression of GALM reduced APP and Aβ deposition by increasing the maturation of ADAM10, although it did not alter the expression of BACE1 and PS1. Further electrophysiological and behavioral experiments showed that GALM overexpression significantly ameliorated the deficits in hippocampal CA1 long-term potentiation (LTP) and spatial learning and memory in AD model mice. Importantly, direct α-D-G (20 mg/kg, i.p.) also inhibited Aβ deposition by increasing the maturation of ADAM10, thereby improving hippocampal CA1 LTP and spatial learning and memory in AD model mice. Taken together, our results indicate that GALM shifts APP processing towards α-cleavage, preventing Aβ generation by increasing the level of mature ADAM10. These findings indicate that GALM may be a potential therapeutic target for AD, and α-D-G has the potential to be used as a dietary supplement for the prevention and treatment of AD.
Animals ; ADAM10 Protein/metabolism* ; Alzheimer Disease/pathology* ; Amyloid Precursor Protein Secretases/metabolism* ; Disease Models, Animal ; Humans ; Mice ; Amyloid beta-Peptides/metabolism* ; Male ; Mice, Transgenic ; Membrane Proteins/metabolism* ; Cognitive Dysfunction/pathology* ; Mice, Inbred C57BL ; Amyloid beta-Protein Precursor/metabolism* ; Female ; Hippocampus/metabolism* ; Long-Term Potentiation/physiology*

The incomplete degradation of tumour cells by macrophages (Mϕ) is a contributing factor to tumour progression and metastasis, and the degradation function of Mϕ is mediated through phagosomes and lysosomes. In our preliminary experiments, we found that overactivation of NADPH oxidase 2 (NOX2) reduced the ability of Mϕ to degrade engulfed tumour cells. Above this, we screened out liquiritin from Glycyrrhiza uralensis Fisch, which can significantly inhibit NOX2 activity and inhibit tumours, to elucidate that suppressing NOX2 can enhance the ability of Mϕ to degrade tumour cells. We found that the tumour environment could activate the NOX2 activity in Mϕ phagosomes, causing Mϕ to produce excessive reactive oxygen species (ROS), thus prohibiting the formation of phagolysosomes before degradation. Conversely, inhibiting NOX2 in Mϕ by liquiritin can reduce ROS and promote phagosome-lysosome fusion, therefore improving the enzymatic degradation of tumour cells after phagocytosis, and subsequently promote T cell activity by presenting antigens. We further confirmed that liquiritin down-regulated the expression of the NOX2 specific membrane component protein gp91 phox, blocking its binding to the NOX2 cytoplasmic component proteins p67 phox and p47 phox, thereby inhibiting the activity of NOX2. This study elucidates the specific mechanism by which Mϕ cannot degrade tumour cells after phagocytosis, and indicates that liquiritin can promote the ability of Mϕ to degrade tumour cells by suppressing NOX2.

Lipotoxicity is a pivotal factor that initiates and exacerbates liver injury and is involved in the development of metabolic-associated fatty liver disease (MAFLD). However, there are few reported lipotoxicity inhibitors. Here, we identified a natural anti-lipotoxicity candidate, HN-001, from the marine fungus Aspergillus sp. C1. HN-001 dose- and time- dependently reversed palmitic acid (PA)-induced hepatocyte death. This protection was associated with IRE-1α-mediated XBP-1 splicing inhibition, which resulted in suppression of XBP-1s nuclear translocation and transcriptional regulation. Knockdown of XBP-1s attenuated lipotoxicity, but no additional ameliorative effect of HN-001 on lipotoxicity was observed in XBP-1s knockdown hepatocytes. Notably, the ER stress and lipotoxicity amelioration was associated with PLA2. Both HN-001 and the PLA2 inhibitor MAFP inhibited PLA2 activity, reduced lysophosphatidylcholine (LPC) level, subsequently ameliorated lipotoxicity. In contrast, overexpression of PLA2 caused exacerbation of lipotoxicity and weakened the anti-lipotoxic effects of HN-001. Additionally, HN-001 treatment suppressed the downstream pro-apoptotic JNK pathway. In vivo, chronic administration of HN-001 (i.p.) in mice alleviated all manifestations of MAFLD, including hepatic steatosis, liver injury, inflammation, and fibrogenesis. These effects were correlated with PLA2/IRE-1α/XBP-1s axis and JNK signaling suppression. These data indicate that HN-001 has therapeutic potential for MAFLD because it suppresses lipotoxicity, and provide a natural structural basis for developing anti-MAFLD candidates.

Chinese excellent traditional culture is an inexhaustible source of value for medical ethics education in medical colleges and universities.Integrating Chinese excellent traditional culture into medical ethics education for medical students is of great significance for inheriting and carrying forward the Chinese excellent traditional culture.As a key element in enriching and deepening ideological and political education in medical colleges and universities,medical ethics education works together with ideological and political education to promote the comprehensive development of medical talents.The Chinese excellent traditional culture and medical ethics education are in line,jointly holding the value beliefs and moral demands of "benevolence,harmony,refinement,and sincerity".Therefore,medical colleges and universities should pay attention to exploring cultural elements in medical courses,as well as implement the educational concepts of "cultivating people with culture" and "educating people with aesthetics",to cultivate medical talents who possess both moral character and talent,and embody both virtue and skill.

Liposarcoma is a common soft tissue malignant tumor with multiple histological types,among which well-differenti-ated liposarcoma and dedifferentiated liposarcoma are the largest subgroups of liposarcoma.After conventional treatment,the 5-year survival rate of patients with dedifferentiated liposarcoma has not been significantly improved.In recent years,immunotherapy has shown significant efficacy in tumors such as melanoma and lung cancer,and has been widely studied in well-differentiated liposarcoma and dedifferentiated liposarcoma.This article summarizes the clinical and genetic features of well-differentiated liposarcoma and dedi-fferentiated liposarcoma,conventional treatment methods,and the application of immunotherapy in liposarcoma,including immune checkpoint inhibitors,adoptive cell therapy,oncolytic viruses,cancer vaccines,and immunotherapy combined with other treatment op-tions.Integrating immune-related treatment options for liposarcoma is an urgent problem to be solved,and it also provides broad ideas for clinical work to understand liposarcoma and new management and treatment strategies.

Objective:To investigate the long-term safety and effectiveness of stent implantation for residual pulmonary artery stenosis after complicated congenital heart disease.Methods:The symptoms, signs, echocardiography, cardiac CT, cardiac catheterization, six-minute walking distance, and BNP of 41 patients diagnosed from January 1996 to January 2020. In this group, 41 patients, 30 males and 11 females, aged 1.3-14.5 years old, mean (6.1±3.6) years old, and weighed 8-43 kg, mean (18.9±9.4)kg, compared the diameter of the target vessel, pressure difference across stenosis, cardiac function before and postoperative follow-up, and evaluated the long-term effect of stent implantation in the treatment of pulmonary artery stenosis.Results:All 41 patients were not lost to follow-up, no death, and there were no serious adverse events such as stent fracture, artery dissection and pulmonary embolism during follow-up. The median follow-up time was 7.1 years (3.1 to 13.8 years). As of January 2023, the echocardiographic results showed that the diameter of the target vessels in 41 patients increased from preoperative (3.9±1.5) mm to (6.0±1.5) mm ( P<0.05), the pressure difference across the stenosis decreased from preoperative (51.4±19.1) mmHg to (33.1±19.7) mmHg (1 mmHg=0.133 kPa, P<0.05); Heart spiral CT showed that the ratio of target vessel diameter to distal vessel diameter increased from preoperative 0.4±0.2 to 0.9±0.3( P<0.05). All patients had no slow growth and development, no recurrent lung infection, 39 patients (95.1%) had gradeⅠcardiac function, and 2 patients (4.9%) had gradeⅡcardiac function.As children in school age, the walking distance of 6 min was 462 to 633 m, mean( 529.9±57.1)m, the respiratory score was 0.5-1, and the lower limb force score was 6-12. There were 5 long-term adverse events, including 4 cases of target vessel restenosis (9.7%), and 1 case (2.4%), two of the patients with restenosis with repeated target vessel stenosis and lateral pulmonary hypertension were surgically intervention: stent removing and pumonary expanding, after 4, 13 years of stent implantation.And the others were still in follow-up, and no further intervention was made. The Cox multivariate survival analysis suggested that right ventricular systolic blood pressure was a risk factor for endpoint events before stent implantation ( P<0.05). Conclusion:The treatment of residual pulmonary artery stenosis after complicated congenital heart disease after percutaneous stent implantation can effectively relieve the right heart pressure overload, improve pulmonary blood flow, stabilize cardiac function, improve the long-term prognosis of patients with complicated congenital heart disease, reduce the chest opening rate of reoperation, and have stable long-term curative effect.

Given the poor source reconstruction results of minimum variance beamforming(MV)for magnetocardiogram(MCG)at low signal-to-noise ratio in coronary heart disease patients,a novel method using the improved minimum variance beamforming(IMV)is proposed.Based on MV,the proposed method uses the lead matrix and the magnetic field signal second-order characteristic matrix to form a constraint matrix,and constructs the weight matrix of a new spatial filter,thus reducing the output noise power gain.The single-source resolution of IMV and MV spatial spectrum estimations is compared using the point spread function.IMV and MV are used to perform source reconstruction from the 36-channel magnetic field simulation data generated by 3 current dipoles at low signal-to-noise ratio;and the source reconstruction is also carried out on the R-wave peak and T-wave peak time data of 36-channel MCG of 3 coronary heart disease patients.The results show that IMV has higher single-source resolution and reconstruction accuracy for simulation data and MCG data from coronary heart disease patients.