Objective To analyze the research status,hotspots and development trends in the field of central post-stroke pain(CPSP).Methods Relevant literatures up to April 8,2025 were retrieved from the Web of Science Core Collection database.CiteSpace 6.4.R1 advanced version was used for bibliometric and visualization analysis of publication trends,country/institution/author collaboration networks,keywords and burst terms.Results A total of 119 publications were included.Researches on CPSP have shown an overall upward trend since 2002,which could be divided into a slow development period(from 2002 to 2015)and a rapid growth period(from 2016 onwards).The number of published papers reached its peak in 2024.China and the United States led in pub-lication volume.Harvard University was the most productive institution,and Asian institutions contributed a sig-nificant number of publications.The most prolific author was Gao Ju.The top five keywords by co-occurrence frequency were central post-stroke pain,neuropathic pain,pathophysiology,transcranial magnetic stimulation and motor cortex stimulation.Keyword clustering analysis generated ten clusters,which were integrated into four core research areas:pain types,clinical characteristics and diagnostic techniques,pathophysiological mecha-nisms,and treatment strategies.The bursting words included spinal cord and molecular expression in recent years;pathophysiology was the most bursting word.Conclusion In recent years,researches on CPSP are significantly increasing,focusing on pathophysiological mecha-nisms and intervention strategies.Future studies should strengthen the integration of basic and clinical research,promote multidisciplinary collaboration,and enhance research quality.

Objective:To study the relationship between microRNA (miRNA, miR)-675-3p, miR-675-5p, miR-29b-3p, miR-let-7b-3p and fluoride induced articular cartilage injury in rats.Methods:Using the factorial design, thirty 3-week-old specific pathogen free grade male Wistar rats (weighted 125 - 150 g) were selected and randomly divided into a control group, a 25 mg/L fluoride group, and a 50 mg/L fluoride group using a random number table method, with 10 rats in each group. The control group drank distilled water, while the fluoride exposure groups drank distilled water with fluoride ion concentrations of 25 and 50 mg/L, respectively. Five rats were euthanized in each group at 3 and 6 months of feeding, respectively. Visual observation was used to observe the occurrence of dental fluorosis in rats, and fluoride ion selective electrode method was used to detect the fluoride level in blood, urine, and cartilage. Hematoxylin-eosin staining and safranin O-fast green staining were used to observe the pathological changes of articular cartilage, and Mankin score was used to evaluate the grading of cartilage injury. Real-time fluorescence quantitative PCR was used to detect the expression levels of miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p in cartilage.Results:After 3 and 6 months of fluoride exposure, no dental fluorosis was observed in the control group, while rats in the 25 and 50 mg/L fluoride groups showed varying degrees of dental fluorosis. There were statistically significant differences in the levels of blood fluoride (mg/L: 0.11 ± 0.04, 0.57 ± 0.32, 0.29 ± 0.06, 0.07 ± 0.01, 0.31 ± 0.05, 0.38 ± 0.06), urine fluoride (mg/L: 1.81 ± 0.58, 13.18 ± 2.29, 66.11 ± 20.74, 2.35 ± 1.08, 14.79 ± 3.87, 28.32 ± 4.79), and cartilage fluoride (mg/kg: 341.83 ± 44.07, 612.99 ± 174.72, 991.26 ± 227.32, 338.29 ± 72.53, 957.09 ± 195.86, 1 535.53 ± 89.01) among in rats the control group, 25 mg/L fluoride group, and 50 mg/L fluoride group ( F = 7.76, 42.78, 40.54, 23.10, 18.96, 80.81, P < 0.05). In the 50 mg/L fluoride group, there were statistically significant differences in the levels of urine fluoride and cartilage fluoride of rats exposed for different times ( t = 4.45, - 3.80, P < 0.05). The Mankin score grading for cartilage injury showed that at 3 months of fluoride exposure, there were 4, 0, and 0 rats with normal cartilage in the control group, 25 mg/L fluoride group, and 50 mg/L fluoride group, 1, 4, and 1 rats with mild injury, and 0, 1, and 4 rats with moderate injury, respectively. At 6 months of fluoride exposure, there were 4, 0, and 0 rats with normal cartilage in the control group, 25 mg/L fluoride group, and 50 mg/L fluoride group, 1, 3, and 0 rats with mild injury, 0, 1, and 3 rats with moderate injury, and 0, 1, and 2 rats with severe injury, respectively. Real-time fluorescence quantitative PCR results showed that fluoride exposure dose had individual effects on the expression of miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p in cartilage ( F = 8.68, 7.97, 9.34, 10.14, P < 0.05). There was no individual effect of fluoride exposure time on the expression of miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p in cartilage ( F = 0.00, 0.15, 0.63, 0.53, P > 0.05). However, there was no interaction effect between fluoride exposure time and dose on the above-mentioned miRNA ( F = 0.68, 0.05, 0.22, 0.24, P > 0.05). The correlation analysis results showed that miR-675-3p and miR-675-5p in cartilage were negatively correlated with blood fluoride, urine fluoride, and cartilage fluoride ( r = - 0.37, - 0.42, - 0.56, - 0.53, - 0.57, - 0.53, P < 0.05), while miR-29b-3p and miR-let-7b-3p were positively correlated with urine fluoride and cartilage fluoride ( r = 0.58, 0.40, 0.48, 0.47, P < 0.05). The results of ordered logistic regression analysis showed that miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p were influencing factors of dental fluorosis grading ( OR = 0.13, 0.04, 1.55, 2.58, P < 0.05) and Mankin score grading ( OR = 0.04, 0.06, 1.41, 1.58, P < 0.05). Conclusion:MiR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p may be involved in the process of fluoride induced articular cartilage injury.

As one of the most common and severe complications of diabetic mellitus,diabetic foot ulcers(DFUs)can result in severe tissue damage and dysfunction.Macrophage polarization is an important immune reactions,and the balance of macrophage polarization has remarkable impact on the occurrence,persistence and outcomes of inflammatory reactions.The imbalance of macrophage polarization may aggravate the inflammatory reactions of the diabetic mellitus patients,which therefore exacerbate the symptoms of the DFUs patients and bring more diffi-culties to the treatment.The adjustment of macrophage polarization may facilitate the improvement of symptoms and treatment.The influencing factors for the macrophage polarization and some of potential treatment measures for DFUs targeting the adjustment of macrophage polarization were reviewed in the article.

Objective To investigate the damage characteristics of peri-implant bones with varying densities under impact and occlusal forces using numerical simulation.Methods A finite element model of the microstructure of an implant and bones with different densities was established.Impact and occlusal forces were applied sequentially to the implant.A user material subroutine was created for failure judgment using stress-based failure criteria,enabling the analysis of bone damage caused by impact and occlusal forces.Results No cortical bone damage was observed in bones of varying densities under impact force.Damage primarily occurred in the trabecular bone at the base of the implant,with the extent of damage worsening as bone density decreased.Additionally,the number of failed bone elements generated by the damage increased with reduced bone density.Bone tissues with pre-existing impact damage sustained secondary damage when subjected to occlusal force:the bonding interface between the implant and cortical bone was damaged,leading to implant displacement and fracture of peri-implant trabecular bone.The damage caused by occlusal force also worsened as bone density decreased.Conclusions The degree of damage from impact and occlusal forces is correlated with bone density,with damage worsening as bone density decreases.This underscores the protective role of cortical bone.The application of occlusal force exacerbates bone tissue damage,leading to implant displacement when the cortical bone is damaged.In clinical practice,patients with a history of impact damage should undergo thorough examination and evaluation.The occlusal force borne by damaged bones should be reduced;if necessary,the implant should be removed and reinserted after re-establishment of osseointegration.

BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.

Objective:To study the relationship between microRNA (miRNA, miR)-675-3p, miR-675-5p, miR-29b-3p, miR-let-7b-3p and fluoride induced articular cartilage injury in rats.Methods:Using the factorial design, thirty 3-week-old specific pathogen free grade male Wistar rats (weighted 125 - 150 g) were selected and randomly divided into a control group, a 25 mg/L fluoride group, and a 50 mg/L fluoride group using a random number table method, with 10 rats in each group. The control group drank distilled water, while the fluoride exposure groups drank distilled water with fluoride ion concentrations of 25 and 50 mg/L, respectively. Five rats were euthanized in each group at 3 and 6 months of feeding, respectively. Visual observation was used to observe the occurrence of dental fluorosis in rats, and fluoride ion selective electrode method was used to detect the fluoride level in blood, urine, and cartilage. Hematoxylin-eosin staining and safranin O-fast green staining were used to observe the pathological changes of articular cartilage, and Mankin score was used to evaluate the grading of cartilage injury. Real-time fluorescence quantitative PCR was used to detect the expression levels of miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p in cartilage.Results:After 3 and 6 months of fluoride exposure, no dental fluorosis was observed in the control group, while rats in the 25 and 50 mg/L fluoride groups showed varying degrees of dental fluorosis. There were statistically significant differences in the levels of blood fluoride (mg/L: 0.11 ± 0.04, 0.57 ± 0.32, 0.29 ± 0.06, 0.07 ± 0.01, 0.31 ± 0.05, 0.38 ± 0.06), urine fluoride (mg/L: 1.81 ± 0.58, 13.18 ± 2.29, 66.11 ± 20.74, 2.35 ± 1.08, 14.79 ± 3.87, 28.32 ± 4.79), and cartilage fluoride (mg/kg: 341.83 ± 44.07, 612.99 ± 174.72, 991.26 ± 227.32, 338.29 ± 72.53, 957.09 ± 195.86, 1 535.53 ± 89.01) among in rats the control group, 25 mg/L fluoride group, and 50 mg/L fluoride group ( F = 7.76, 42.78, 40.54, 23.10, 18.96, 80.81, P < 0.05). In the 50 mg/L fluoride group, there were statistically significant differences in the levels of urine fluoride and cartilage fluoride of rats exposed for different times ( t = 4.45, - 3.80, P < 0.05). The Mankin score grading for cartilage injury showed that at 3 months of fluoride exposure, there were 4, 0, and 0 rats with normal cartilage in the control group, 25 mg/L fluoride group, and 50 mg/L fluoride group, 1, 4, and 1 rats with mild injury, and 0, 1, and 4 rats with moderate injury, respectively. At 6 months of fluoride exposure, there were 4, 0, and 0 rats with normal cartilage in the control group, 25 mg/L fluoride group, and 50 mg/L fluoride group, 1, 3, and 0 rats with mild injury, 0, 1, and 3 rats with moderate injury, and 0, 1, and 2 rats with severe injury, respectively. Real-time fluorescence quantitative PCR results showed that fluoride exposure dose had individual effects on the expression of miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p in cartilage ( F = 8.68, 7.97, 9.34, 10.14, P < 0.05). There was no individual effect of fluoride exposure time on the expression of miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p in cartilage ( F = 0.00, 0.15, 0.63, 0.53, P > 0.05). However, there was no interaction effect between fluoride exposure time and dose on the above-mentioned miRNA ( F = 0.68, 0.05, 0.22, 0.24, P > 0.05). The correlation analysis results showed that miR-675-3p and miR-675-5p in cartilage were negatively correlated with blood fluoride, urine fluoride, and cartilage fluoride ( r = - 0.37, - 0.42, - 0.56, - 0.53, - 0.57, - 0.53, P < 0.05), while miR-29b-3p and miR-let-7b-3p were positively correlated with urine fluoride and cartilage fluoride ( r = 0.58, 0.40, 0.48, 0.47, P < 0.05). The results of ordered logistic regression analysis showed that miR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p were influencing factors of dental fluorosis grading ( OR = 0.13, 0.04, 1.55, 2.58, P < 0.05) and Mankin score grading ( OR = 0.04, 0.06, 1.41, 1.58, P < 0.05). Conclusion:MiR-675-3p, miR-675-5p, miR-29b-3p, and miR-let-7b-3p may be involved in the process of fluoride induced articular cartilage injury.

Objective:To evaluate physicochemical and immune efficacy of filamentous hemagglutinin(FHA)and pertactin(PRN)before and after detoxification treatment in acellular pertussis vaccine.Methods:Thermal stability of FHA and PRN was analyzed by differential scanning fluorescence(DSF)to evaluate melting temperature(Tm)changes of antigen before and after detoxi-fication treatment.Immune efficacy of vaccine containing single FHA or PRN component and acellular pertussis vaccine with pertussis toxin(PT)was assessed by modified intracerebral challenge assay(MICA)and pertussis serological potency test(PSPT).ELISpot and flow cytometry were utilized to evaluate cytokines secretion and immune cells level in spleens obtained from immunized mice.Results:Under detoxification treatment Tm of FHA changed from a single value 57℃to both 58℃and 81℃,but Tm of PRN were both 84℃.Detoxification treatment had no obvious effects on immune efficacy and IL-4/IFN-γ secretion in spleens from mice.In addi-tion,there was no significant difference in splenic immune cells such as CD4+T,CD8+T and CD44+CD62L+memory cells.Conclu-sion:Detoxification treatment of FHA and PRN have no effect on immune efficacy of acellular pertussis vaccine,except for impact on Tm of FHA.

Oxidative stress(OS)and dopaminergic neuron(DN)dysfunction are implicated in the pathogenesis and progression of various neurological disorders.As the primary active component of the traditional Chinese herb Scutellaria baicalensis,baicalin has garnered significant attention due to its potent antioxidant and anti-inflammatory properties.Baicalin exhibits a particular affinity for the dopamine(DA)system,maintaining cerebral DA levels by regulating oxidative stress(OS)-related pathways,suggesting that the DA system serves as the"intracerebral target system"through which it exerts its neuroprotective effects.Nuclear factor erythroid 2-related factor 2(Nrf2),a central transcription factor regulating redox homeostasis,plays a pivotal role in the anti-OS process mediated by baicalin.This systematic review covers the pharmacological effects of baicalin,providing an in-depth mechanistic analysis of the interaction between OS and DN,with a focus on the latest research progress in baicalin-mediated treatment of OS through the Nrf2 signaling pathway in neurological diseases to provide theoretical references for the pharmacological and molecular mechanisms of baicalin's anti-OS modulation of the DA system for the treatment of neurological diseases.

BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.

Objective:To explore the therapeutic methods and drug-symptom patterns of Traditional Chinese Medicine (TCM) for idiopathic pulmonary fibrosis (IPF) at different stages under the guidance of the " three-stage differentiated management" principle.Methods:Under the three-stage principle, 133 IPF prescriptions treated by prof. Yan Jun from 2017.2-2023.12 were analyzed. Disease and category information of each eligible case was entered into the " FangNet" platform. Association and cluster analyses were performed for core herbs, key herb pairs, and symptom-drug relationships, aiming to uncover the clinical medication characteristics and rules in the three stages.Results:(1) Early inflammatory stage: phlegm-stasis harassment, incipient but unformed masses, superficial disease location; priority was dispelling wind, dispersing pathogen, clearing lung and resolving phlegm-commonly used: ephedra, stemona, processed pinellia, peucedanum, armeniaca. (2) Mid injury stage: formed phlegm-stasis, struggle of pathogen and healthy Qi, impaired lung collaterals, obstructive phlegm-stasis, excess pathogen with intact healthy Qi; emphasis on expelling pathogen, resolving phlegm, activating blood and dredging collaterals-e.g., angelica, pheretima, bombyx, scorpio. (3) Late fibrotic stage: healthy Qi deficiency with excess pathogen, phlegm-stasis masses entrenched in collaterals; treatment focuses on tonifying lung and dissolving masses, combining dredging and tonifying to regulate Qi and blood-e.g., pinellia, rhodiola, ginseng, gecko.Conclusions:Phlegm-stasis as excess pathogen and dual deficiency of lung-kidney run through all three stages of IPF. The rise and fall of healthy Qi vs pathogen and the degree of mass formation determine stage-specific therapeutic strategies and drug-pattern adjustments.