BACKGROUND:Peripheral nerve injuries can cause severe functional disabilities in patients,and long-segment nerve defects often fail to regenerate spontaneously.In recent years,tissue engineering techniques have gradually been applied to the repair of long-segment nerve injuries,yet research hotspots and development trends are unclear.OBJECTIVE:To analyze the research hotspots and trends in the field of peripheral nerve tissue engineering over the past 20 years using bibliometric software.METHODS:CiteSpace 6.2R6 software was employed to conduct highly cited analysis and keyword analysis on peripheral nerve tissue engineering literature published from 2004 to 2024 in the Web of Science and China National Knowledge Infrastructure(CNKI)databases.The keyword analysis encompasses keyword co-occurrence analysis,keyword clustering analysis,keyword timeline analysis,and keyword emergence analysis.RESULTS AND CONCLUSION:A total of 2 961 articles from the Web of Science database and 1171 articles from the CNKI database were included.The number of publications in the Web of Science database showed fluctuations but exhibited an overall increasing trend year by year,while the publication volume in the CNKI database remained relatively stable annually.Most of the top ten most cited articles in the Web of Science database were review articles.The results of the keyword analysis from Web of Science and CNKI databases indicated that the most studied nerve tissue engineering materials over the past 20 years include silk fibroin,collagen,chitosan,polycaprolactone,polylactic acid,and graphene.The biochemical cues investigated in these materials include olfactory ensheathing cells,Schwann cells,stem cells,and nerve growth factors.The most commonly employed external physical factor is electrical stimulation applied to the materials.Among various tissue engineering techniques,electrospinning technology and 3D printing technology have been the most extensively researched.

BACKGROUND:Cervical disc degeneration is a common degenerative disease,and inflammatory proteins play an important role in cervical disc degeneration,but the specific mechanisms involved remain to be thoroughly investigated.OBJECTIVE:Using the Mendelian randomization method to assess the potential causal relationship between 91 inflammatory proteins and cervical disc degeneration.METHODS:Genome-wide association analysis statistics for 91 inflammatory proteins(from GCST90274758 to GCST90274848)were obtained from the Genome-Wide Association Analysis Catalog of publicly available genome-wide association analysis data and genome-wide association analysis data for cervical disc degeneration from the Finngen database(finngen_R10_M13_CERVICDISCV).Inverse variance weighting,MR-Egger regression,weighted median,weighted modeling,and simple modeling were used to investigate the causal relationship between inflammatory proteins and cervical disc degeneration.Sensitivity analyses were performed to test whether the results of the Mendelian randomization analysis were reliable,and then the inverse Mendelian randomization analysis was performed in the same way.RESULTS AND CONCLUSION:The results of the forward analysis showed that a total of six inflammatory proteins were significantly and causally associated with cervical disc degeneration,of which glial cell lineage-derived neurotrophic factor(odds ratio(OR)=1.095,95%confidence interval(CI):1.012-1.184,P=0.023),interleukin 4(OR=1.094,95%CI:1.002-1.194,P=0.045)and monocyte chemotactic protein-1 levels(OR=1.062,95%CI:1.001-1.127,P=0.048)showed a direct positive causal association with the risk of cervical disc degeneration;interleukin 17C(OR=0.906,95%CI:0.839-0.979,P=0.013),interleukin 18(OR=0.924,95%CI:0.866-0.986,P=0.017)and interleukin 2 levels(OR=0.894,95%CI:0.821-0.973,P=0.010)showed a direct negative causal association with the risk of cervical disc degeneration.The results of the inverse analysis showed that when cervical disc degeneration was used as exposure data,there was no significant causal relationship with any of the 91 inflammatory proteins.The results of the sensitivity analysis showed that the Cochran's Q test for the two-way Mendelian randomization,the MR-Egger regression method,and the MR-PRESSO results had P values greater than 0.05,indicating that there was no significant heterogeneity or multiplicity in the analysis of the causal effect between inflammatory proteins and cervical disc degeneration.To conclude,there may be a relatively significant potential causal relationship between glial cell line-derived neurotrophic factor,interleukin 4,monocyte chemotactic protein-1,interleukin 17C levels,interleukin 18,and interleukin 2 levels and cervical disc degeneration,which provides valuable clues for research on the potential mechanisms of cervical disc degeneration as well as early prevention and drug treatment of cervical disc degeneration.

BACKGROUND:Electromyographic biofeedback therapy has demonstrated unique advantages of non-invasive,real-time feedback,personalized treatment and promotion of neuroplasticity,and can promote the recovery of motor function in patients with spinal cord injury.OBJECTIVE:To review the current application status and therapeutic effects of electromyographic biofeedback combined with exercise therapy,robotic exoskeletons,and virtual reality technology in the recovery of motor function after spinal cord injury.METHODS:Relevant literature was retrieved from CNKI and PubMed databases up to May 2024.The search terms included"spinal cord injury,EMG biofeedback,physical therapy,robotic exoskeleton,VR,motor function,exercise"in both English and Chinese.Finally,71 articles were included for review.RESULTS AND CONCLUSION:Mechanisms by which electromyographic biofeedback therapy promotes spinal cord injury rehabilitation include promoting neural plasticity changes,strengthening neuromuscular connections and improving movement patterns.Electromyographic biofeedback,as an emerging tool for treating spinal cord injury,is often used in conjunction with other therapeutic methods,including exercise therapy,robotic exoskeletons,and VR,to promote the recovery of motor function after spinal cord injury.The effectiveness of combination therapy has been significantly improved.However,there are still some problems and challenges,such as the lack of detailed analysis of the mechanism,the lack of large-scale trials that provide strong evidence for combined efficacy,and the limited adaptability of the technology.Future research can focus on these aspects:to improve the personalization and accuracy of electromyographic biofeedback;to develop new rehabilitation equipment and expand the application areas of electromyographic biofeedback combined with more advanced technologies or engineering equipment;to apply electromyographic biofeedback to gait training systems,respiratory training systems,and limb-linkage rehabilitation systems,so as to improve the accuracy of the feedback and the effect of personalized treatment plans.At the same time,the ease of use and comfort of the equipment will be improved.

BACKGROUND:The patient underwent multiple hypoproteinemia after total hip arthroplasty,which affected postoperative healing and rehabilitation.OBJECTIVE:To investigate and screen the risk factors for hypoproteinemia after total hip arthroplasty,and to establish a nomogram prediction model so as to provide guidance for judging whether hypoproteinemia occurs after total hip arthroplasty.METHODS:A total of 355 patients who underwent total hip arthroplasty were included,and according to whether hypoproteinemia occurred on the first day after surgery,they were divided into 238 cases in the hypoproteinemia group and 117 cases in the normal group,with a hypoproteinemia rate of 67％.Data were collected,including age,gender,diabetes mellitus,hypertension,hyperuricemia,hyperlipidemia,anesthesia method,preoperative leukocytes,preoperative erythrocytes,preoperative hemoglobin,preoperative platelets,preoperative plasma prothrombin time,preoperative activated partial prothrombin time,preoperative international normalized ratio,preoperative thrombin time,preoperative fibrinogen,preoperative erythrocyte sedimentation rate,preoperative C-reactive protein,preoperative D-dimer,preoperative mean corpuscular hemoglobin content,preoperative mean corpuscular volume,operation time,body mass index,preoperative procalcitonin,and preoperative hematocrit.SPSS 27.0 software was used for univariate analysis,followed by R language(4.3.1)to perform least absolute shrinkage and selection operator regression and 10-fold cross-validation of the observation indicators to obtain the intersection of the two risk factors.SPSS 27.0 software was used to perform multivariate binary logistic regression to obtain the final risk factors.The prediction model of hypoproteinemia after total hip arthroplasty was constructed by R language.The receiver operating characteristic curve,calibration curve,and clinical decision curve were constructed to assess the predictive model predictive ability.RESULTS AND CONCLUSION:(1)Univariate analysis,least absolute shrinkage and selection operator regression,and multivariate logistic regression were used to screen out significant differences in age(OR=1.024,P=0.023),preoperative platelets(OR=0.995,P=0.028),and preoperative erythrocyte sedimentation rate(OR=1.031,P=0.045)in judging whether hypoproteinemia would occur after surgery(P＜0.05).(2)The nomogram prediction model was constructed based on the final risk factors screened by multivariate Logistic regression,and the prediction ability of the model was evaluated by constructing the receiver operating characteristic curve,and the area under the calculated receiver operating characteristic curve reached 0.835(95％CI=0.779-0.891),C-index=0.835.A threshold of 0-0.83 could bring better clinical efficacy calculated by the decision curve analysis.The model has good sensitivity and accuracy,which can better identify the risk of postoperative hypoproteinemia for medical staff and patients before total hip arthroplasty.

BACKGROUND:Exercise as a form of active rehabilitation can improve the dysfunction caused by peripheral nerve injury,and different exercise modalities target different lesion sites and recovery mechanisms. OBJECTIVE:To comprehensively analyze the application and mechanisms of different exercise modalities in functional recovery from peripheral nerve injury. METHODS:A computerized search was conducted in PubMed and CNKI databases for relevant literature published before January 2024.The search terms used were"peripheral nerve injury,spinal cord,exercise,cerebral cortex,muscle atrophy,mirror therapy,blood flow restriction training"in both English and Chinese.Finally,77 articles were included for review. RESULTS AND CONCLUSION:Peripheral nerve injury can cause systemic pathological changes such as skeletal muscle atrophy,corresponding spinal cord segmental lesions,and sensorimotor cortex remodeling.Aerobic exercise can improve dysfunction by enhancing the immune response,promoting glial cell polarization,and promoting the release of nerve growth factor.Blood flow restriction exercise can regulate the secretion of muscle growth factor,promote muscle growth and enhance muscle strength.Mirror movement has a good effect in activating the cerebral cortex and reducing cortical remodeling.Different exercise modalities have potential benefits in functional recovery after peripheral nerve injury;however,there are still some problems and challenges,such as the choice of exercise modalities,the control of exercise intensity and frequency,and the detailed analysis of mechanisms.

Ferroptosis is a novel form of cell death that has garnered increasing attention in various diseases，including bronchial asthma（referred to as asthma），in recent years. The mechanism of ferroptosis is closely related to the accumulation of iron ions，the production of reactive oxygen species，and lipid peroxidation，while it is also precisely regulated by the body's antioxidant system. In asthma，ferroptosis may exacerbate airway epithelial cell damage and affect immune cell function and the release of inflammatory factors by influencing key pathophysiological processes such as airway remodeling and inflammation，thereby impacting the immune response in asthma. Although the specific mechanisms of ferroptosis in asthma are not yet fully understood，recent studies have indicated that inhibiting ferroptosis can improve airway inflammation in animal models of asthma. This study will elucidate the mechanisms of ferroptosis and its relationship with asthma，providing new insights for the treatment of asthma.

BACKGROUND:Peripheral nerve injuries can cause severe functional disabilities in patients,and long-segment nerve defects often fail to regenerate spontaneously.In recent years,tissue engineering techniques have gradually been applied to the repair of long-segment nerve injuries,yet research hotspots and development trends are unclear.OBJECTIVE:To analyze the research hotspots and trends in the field of peripheral nerve tissue engineering over the past 20 years using bibliometric software.METHODS:CiteSpace 6.2R6 software was employed to conduct highly cited analysis and keyword analysis on peripheral nerve tissue engineering literature published from 2004 to 2024 in the Web of Science and China National Knowledge Infrastructure(CNKI)databases.The keyword analysis encompasses keyword co-occurrence analysis,keyword clustering analysis,keyword timeline analysis,and keyword emergence analysis.RESULTS AND CONCLUSION:A total of 2 961 articles from the Web of Science database and 1171 articles from the CNKI database were included.The number of publications in the Web of Science database showed fluctuations but exhibited an overall increasing trend year by year,while the publication volume in the CNKI database remained relatively stable annually.Most of the top ten most cited articles in the Web of Science database were review articles.The results of the keyword analysis from Web of Science and CNKI databases indicated that the most studied nerve tissue engineering materials over the past 20 years include silk fibroin,collagen,chitosan,polycaprolactone,polylactic acid,and graphene.The biochemical cues investigated in these materials include olfactory ensheathing cells,Schwann cells,stem cells,and nerve growth factors.The most commonly employed external physical factor is electrical stimulation applied to the materials.Among various tissue engineering techniques,electrospinning technology and 3D printing technology have been the most extensively researched.

BACKGROUND:The patient underwent multiple hypoproteinemia after total hip arthroplasty,which affected postoperative healing and rehabilitation.OBJECTIVE:To investigate and screen the risk factors for hypoproteinemia after total hip arthroplasty,and to establish a nomogram prediction model so as to provide guidance for judging whether hypoproteinemia occurs after total hip arthroplasty.METHODS:A total of 355 patients who underwent total hip arthroplasty were included,and according to whether hypoproteinemia occurred on the first day after surgery,they were divided into 238 cases in the hypoproteinemia group and 117 cases in the normal group,with a hypoproteinemia rate of 67％.Data were collected,including age,gender,diabetes mellitus,hypertension,hyperuricemia,hyperlipidemia,anesthesia method,preoperative leukocytes,preoperative erythrocytes,preoperative hemoglobin,preoperative platelets,preoperative plasma prothrombin time,preoperative activated partial prothrombin time,preoperative international normalized ratio,preoperative thrombin time,preoperative fibrinogen,preoperative erythrocyte sedimentation rate,preoperative C-reactive protein,preoperative D-dimer,preoperative mean corpuscular hemoglobin content,preoperative mean corpuscular volume,operation time,body mass index,preoperative procalcitonin,and preoperative hematocrit.SPSS 27.0 software was used for univariate analysis,followed by R language(4.3.1)to perform least absolute shrinkage and selection operator regression and 10-fold cross-validation of the observation indicators to obtain the intersection of the two risk factors.SPSS 27.0 software was used to perform multivariate binary logistic regression to obtain the final risk factors.The prediction model of hypoproteinemia after total hip arthroplasty was constructed by R language.The receiver operating characteristic curve,calibration curve,and clinical decision curve were constructed to assess the predictive model predictive ability.RESULTS AND CONCLUSION:(1)Univariate analysis,least absolute shrinkage and selection operator regression,and multivariate logistic regression were used to screen out significant differences in age(OR=1.024,P=0.023),preoperative platelets(OR=0.995,P=0.028),and preoperative erythrocyte sedimentation rate(OR=1.031,P=0.045)in judging whether hypoproteinemia would occur after surgery(P＜0.05).(2)The nomogram prediction model was constructed based on the final risk factors screened by multivariate Logistic regression,and the prediction ability of the model was evaluated by constructing the receiver operating characteristic curve,and the area under the calculated receiver operating characteristic curve reached 0.835(95％CI=0.779-0.891),C-index=0.835.A threshold of 0-0.83 could bring better clinical efficacy calculated by the decision curve analysis.The model has good sensitivity and accuracy,which can better identify the risk of postoperative hypoproteinemia for medical staff and patients before total hip arthroplasty.

BACKGROUND:Cervical disc degeneration is a common degenerative disease,and inflammatory proteins play an important role in cervical disc degeneration,but the specific mechanisms involved remain to be thoroughly investigated.OBJECTIVE:Using the Mendelian randomization method to assess the potential causal relationship between 91 inflammatory proteins and cervical disc degeneration.METHODS:Genome-wide association analysis statistics for 91 inflammatory proteins(from GCST90274758 to GCST90274848)were obtained from the Genome-Wide Association Analysis Catalog of publicly available genome-wide association analysis data and genome-wide association analysis data for cervical disc degeneration from the Finngen database(finngen_R10_M13_CERVICDISCV).Inverse variance weighting,MR-Egger regression,weighted median,weighted modeling,and simple modeling were used to investigate the causal relationship between inflammatory proteins and cervical disc degeneration.Sensitivity analyses were performed to test whether the results of the Mendelian randomization analysis were reliable,and then the inverse Mendelian randomization analysis was performed in the same way.RESULTS AND CONCLUSION:The results of the forward analysis showed that a total of six inflammatory proteins were significantly and causally associated with cervical disc degeneration,of which glial cell lineage-derived neurotrophic factor(odds ratio(OR)=1.095,95%confidence interval(CI):1.012-1.184,P=0.023),interleukin 4(OR=1.094,95%CI:1.002-1.194,P=0.045)and monocyte chemotactic protein-1 levels(OR=1.062,95%CI:1.001-1.127,P=0.048)showed a direct positive causal association with the risk of cervical disc degeneration;interleukin 17C(OR=0.906,95%CI:0.839-0.979,P=0.013),interleukin 18(OR=0.924,95%CI:0.866-0.986,P=0.017)and interleukin 2 levels(OR=0.894,95%CI:0.821-0.973,P=0.010)showed a direct negative causal association with the risk of cervical disc degeneration.The results of the inverse analysis showed that when cervical disc degeneration was used as exposure data,there was no significant causal relationship with any of the 91 inflammatory proteins.The results of the sensitivity analysis showed that the Cochran's Q test for the two-way Mendelian randomization,the MR-Egger regression method,and the MR-PRESSO results had P values greater than 0.05,indicating that there was no significant heterogeneity or multiplicity in the analysis of the causal effect between inflammatory proteins and cervical disc degeneration.To conclude,there may be a relatively significant potential causal relationship between glial cell line-derived neurotrophic factor,interleukin 4,monocyte chemotactic protein-1,interleukin 17C levels,interleukin 18,and interleukin 2 levels and cervical disc degeneration,which provides valuable clues for research on the potential mechanisms of cervical disc degeneration as well as early prevention and drug treatment of cervical disc degeneration.

BACKGROUND:Electromyographic biofeedback therapy has demonstrated unique advantages of non-invasive,real-time feedback,personalized treatment and promotion of neuroplasticity,and can promote the recovery of motor function in patients with spinal cord injury.OBJECTIVE:To review the current application status and therapeutic effects of electromyographic biofeedback combined with exercise therapy,robotic exoskeletons,and virtual reality technology in the recovery of motor function after spinal cord injury.METHODS:Relevant literature was retrieved from CNKI and PubMed databases up to May 2024.The search terms included"spinal cord injury,EMG biofeedback,physical therapy,robotic exoskeleton,VR,motor function,exercise"in both English and Chinese.Finally,71 articles were included for review.RESULTS AND CONCLUSION:Mechanisms by which electromyographic biofeedback therapy promotes spinal cord injury rehabilitation include promoting neural plasticity changes,strengthening neuromuscular connections and improving movement patterns.Electromyographic biofeedback,as an emerging tool for treating spinal cord injury,is often used in conjunction with other therapeutic methods,including exercise therapy,robotic exoskeletons,and VR,to promote the recovery of motor function after spinal cord injury.The effectiveness of combination therapy has been significantly improved.However,there are still some problems and challenges,such as the lack of detailed analysis of the mechanism,the lack of large-scale trials that provide strong evidence for combined efficacy,and the limited adaptability of the technology.Future research can focus on these aspects:to improve the personalization and accuracy of electromyographic biofeedback;to develop new rehabilitation equipment and expand the application areas of electromyographic biofeedback combined with more advanced technologies or engineering equipment;to apply electromyographic biofeedback to gait training systems,respiratory training systems,and limb-linkage rehabilitation systems,so as to improve the accuracy of the feedback and the effect of personalized treatment plans.At the same time,the ease of use and comfort of the equipment will be improved.