BACKGROUND:Fracture healing is a very complex physiological process,which is influenced by many factors.In recent years,the use of biomechanical factors in fracture healing has been a major focus in the field of orthopedics,and the mechanical stress environment around the fracture end has an important role in regulating fracture healing.Among them,the study of the mechanism of compressive mechanics on the cytokines of fracture ends is a hot spot for bone-related researchers.OBJECTIVE:To summarize the current status and recent advances in the study of the mechanism of action of compressive stress on cytokines in fracture healing in recent years.METHODS:A search with the keywords of"compressive stress,fracture healing,cytokine,bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,tumor necrosis factor-α"in Chinese and English was conducted in the CNKI,WanFang,PubMed,and Web of Science.Initially 506 articles were retrieved,and 94 eligible articles that met the criteria were screened and finally summarized.RESULTS AND CONCLUSION:Current studies have found that compressive stress has different effects on different cytokines during fracture healing,which can be achieved mainly by influencing cell signaling,gene expression regulation,and modulation of cell behavior.Among them,compressive stress can be linked to cytokines such as bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,and tumor necrosis factor-α.This process involves cell proliferation,differentiation and migration,inflammatory response,and changes in the environmental and nutritional conditions of the fracture end,which are key factors affecting fracture healing.The whole paper summarizes the complexity of cytokine action mechanism,the mechanism of compressive stress on its regulation needs to be further carried out in-depth research,and the problems and limitations in the research are considered and future prospects.

BACKGROUND:Fracture healing is a very complex physiological process,which is influenced by many factors.In recent years,the use of biomechanical factors in fracture healing has been a major focus in the field of orthopedics,and the mechanical stress environment around the fracture end has an important role in regulating fracture healing.Among them,the study of the mechanism of compressive mechanics on the cytokines of fracture ends is a hot spot for bone-related researchers.OBJECTIVE:To summarize the current status and recent advances in the study of the mechanism of action of compressive stress on cytokines in fracture healing in recent years.METHODS:A search with the keywords of"compressive stress,fracture healing,cytokine,bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,tumor necrosis factor-α"in Chinese and English was conducted in the CNKI,WanFang,PubMed,and Web of Science.Initially 506 articles were retrieved,and 94 eligible articles that met the criteria were screened and finally summarized.RESULTS AND CONCLUSION:Current studies have found that compressive stress has different effects on different cytokines during fracture healing,which can be achieved mainly by influencing cell signaling,gene expression regulation,and modulation of cell behavior.Among them,compressive stress can be linked to cytokines such as bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,and tumor necrosis factor-α.This process involves cell proliferation,differentiation and migration,inflammatory response,and changes in the environmental and nutritional conditions of the fracture end,which are key factors affecting fracture healing.The whole paper summarizes the complexity of cytokine action mechanism,the mechanism of compressive stress on its regulation needs to be further carried out in-depth research,and the problems and limitations in the research are considered and future prospects.

It has been demonstrated that long-term space flights have a significantly greater impact on the cardiovascular, skeletal, and nervous systems of astronauts. The structural and functional alterations in the skeletal and muscular systems resulting from exposure to weightlessness can lead to the development of low back pain, significantly impairing the ability of astronauts to perform tasks and respond to emergencies. Both space flight and simulated microgravity have been shown to result in low back pain among astronauts, with the following factors identified as primary contributors to this phenomenon. The occurrence of intervertebral disc (IVD) edema results in the stimulation of type IV mechanoreceptors, which subsequently activate nociceptive afferents. The protrusion of an IVD causes compression of the spinal nerve roots. Furthermore, the elongation of the vertebral column and/or the diminished lumbar curvature of the spine exert traction on the dorsal root nerves. Paravertebral muscle degeneration leads to the inhibition of decreased nociceptive activity of the wide-dynamic range neurons of the spinal dorsal horn. Moreover, endogenous pain descending facilitation triggered by conditioning stimulation can be enhanced via the thalamic mediodorsal nuclei, while endogenous pain descending inhibition triggered by conditioning stimulation can be weakened via the thalamic ventromedial nuclei. Psychological factors may contribute to the development of low back pain. The mechanisms governing the generation, maintenance, and alleviation of low back pain in weightlessness differ from those observed in normal gravitational environments. This presents a significant challenge for space medicine research. Therefore, the elucidation of the occurrence and development mechanism of low back pain in weightlessness is important for the prevention and treatment during space flight. To reduce the incidence of low back pain during long-term missions on the space station, astronauts may choose to wear specialized space clothing that can provide axial physiological loads, designed to stimulate both musculature and skeletal structures, mitigating potential increases in vertebral column length, diminished lumbar curvature, and intervertebral disc edema and/or muscular atrophy. Additionally, assuming a “fetal tuck position” described as the knees to chest position may increase lumbar IVD hydrostatic pressure, subsequently reducing disc volume, rectifying diminished lumbar curvature, and alleviating dorsal root nerve tensions. Moreover, this position may reduce type IV mechanoreceptor facilitation and nerve impulse propagation from the sinuvertebral nerves of the annulus fibrosus. Elongated posterior soft tissues (apophyseal joint capsules and ligaments) with spinal flexion may potentially stimulate type I and II mechanoreceptors. It is also recommended to exercise the paraspinal muscles to prevent and alleviate the decrease in their cross-sectional area and maintain their structure and function. Photobiomodulation has been proved to be an effective means of activating the pain descending inhibition pathway of the central nervous system. In addition, astronauts should be encouraged to participate in mission-related activities and strive to avoid psychological problems caused by the long-term confinement in a small space station. The article presents a concise review of potential causes and targeted treatment strategies for low back pain induced by space flight or simulated microgravity in recent years. Its objective is to further elucidate the mechanisms underlying the occurrence and development of low back pain in weightless environments while providing scientific evidence to inform the development of guidelines for preventing, treating, and rehabilitating low back pain during long-term space flights.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

AIM To study the chemical constituents from Tylophora ovata(Lindl.)Hook.ex Steud.and their antibacterial activities.METHODS Ethanol extract was isolated and purified by MCI,silica gel,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by spectral data.The inhibitory activities of each compound against Phomopsis sp.were determined by mycelial growth rate method.RESULTS Twenty-six compounds were identified as paeonol(1),stigmast-4-en-3-one(2),ergosta-4,6,8(14),22-tetraen-3-one(3),2,4-methoxyphenol(4),1,2,4-trimethoxybenzene(5),3-methoxyphenol(6),3,4-dimethoxyacetophenone(7),5α,8α-epidioxy-ergosta-6,22(E)-diene-3β-ol(8),kaempferol 3-O-β-D-galactopyranoside(9),glaucogenind C(10),glaucoge-nin A 3-O-β-D-cymaropyranoside(11),dibutyl phthalate(12),cynatratoside A(13),hirundigoside C(14),sublanceoside B2(15),cynanoside A(16),dipentyl phthalate(17),5-hydroxymethyl-2-furancarboxaldehyde(18),bis-(2-ethyl)hexylphthalate(19),p-hydroxybenzoic acid(20),syringic acid(21),β-hydroxypropiovanillone(22),3-hydroxy-l-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone(23),(+)-syringare sinol(24),(-)-syringare sinol(25),(+)-medioresinol(26).IC50 value of compound 12 was 37.27 μg/mL.CONCLUSION Compounds 1-26 are isolated from this plant for the first time.Compound 12 has inhibitory activity against Phomopsis sp.

Objective To observe the value of 18F-prostate specific membrane antigen(PSMA)-1007 PET/MRI for diagnosing seminal vesicle invasion(SVI)of prostatic cancer(PCa).Methods Totally 92 male patients with PCa who underwent radical prostatectomy were retrospectively enrolled and divided into positive group(n=26)and negative group(n=66)based on postoperative pathology showed SVI or not.PET/MRI parameters,including maximum standard uptake value(SUVmax),minimum apparent diffusion coefficient(ADCmin),mean apparent diffusion coefficient(ADCmean),SUVmax/ADCmin,SUVmax/ADCmean,PSMA tumor volume(PSMA-TV)and total lesion PSMA(TL-PSMA)were compared between groups.The receiver operating characteristic curve was drawn,and the efficacy of each parameter for diagnosing SVI was analyzed.Results Among 92 cases of PCa,18F-PSMA-1007 PET/MRI showed 30 cases with SVI and 62 cases without SVI,with accuracy of 73.91％,sensitivity of 61.54％,specificity of 78.79％,positive predictive value of 53.33％and negative predictive value of 83.87％.Significant differences of ADCmin,PSMA-TV and TL-PSMA were found between groups(all P＜0.05).The area under the curve(AUC)of SUVmax,ADCmin,ADCmean,SUVmax/ADCmin,SUVmax/ADCmean,PSMA-TV and TL-PSMA for diagnosing SVI of PCa was 0.554,0.341,0.396,0.603,0.581,0.755 and 0.705,respectively.The AUC of PSMA-TV was higher than other parameters except for TL-PSMA,with sensitivity of 84.60％and specificity of 56.10％.Conclusion 18 F-PSMA-1007 PET/MRI was helpful for diagnosing SVI of PCa.

Objective:The aim of this study is to evaluate the clinical efficacy of Oxalicao Formula combined with transacu-puncture in the treatment of chronic nonbacterial prostatitis(CNP)characterized by dampness-heat stasis.Methods:A total of 70 patients diagnosed with CNP and characterized by dampness-heat stasis were randomly divided into control group and treatment group,with 35 cases in each group.The patients in control group received Qianlie Beixi capsules.While the patients in treatment group were administered with oxalis decoction in conjunction with acupuncture therapy which lasted for 8 weeks.Pre-and post-treatment evalua-tions for NIH-Chronic Prostatitis Symptom Index(NIH-CPSI),Traditional Chinese Medicine(TCM)symptom scores,urodynamic pa-rameters,immune cell subsets and inflammatory factors were performed.Results:Ultimately,65 patients completed the study with 33 in the treatment group and 32 in the control group.After 8 weeks of intervention,the patients in both of groups demonstrated signifi-cant improvements(P＜0.05).Specifically,remarkable reductions in the NIH-CPSI total score including pain score,urination score,quality of life impact score,TCM symptom score and inflammatory cytokine levels were observed.Additionally,there were upward trends in maximum and average urinary flow rates as well as the CD4+/CD8+ratio of immune cells(P＜0.05).Compared to the con-trol group,the treatment group exhibited superior outcomes in reducing the NIH-CPSI total score,pain score,urination score,quality of life impact score,TCM symptom score,and inflammatory cytokine levels,and increasing in CD4+/CD8+ratios,maximum and av-erage urine flow rates(P＜0.05).Conclusion:The combination of Oxalicao Formula and transacupuncture for treating CNP charac-terized by dampness-heat stasis demonstrates significant therapeutic benefits,which has considerable clinical application value.

Objective To investigate the molecular mechanism of aprepitant(Apr)reversing 5-Fluorouracil(5-FU)resistance in colorectal cancer(CRC)mouse model through endoplasmic re-ticulum stress(ERS).Methods Thirty mice were selected as experimental animals.Five mice were randomly assigned to control group,and the remaining 25 mice underwent subcutaneous injection in the back to establish the HCT-116/5-FU CRC mouse model.These mice were then divided into the CRC group,5-FU group,Apr group,Apr+5-FU group and Apr+ERS inhibitor Tauroursodeoxychol-ic acid(TUDCA)group,with five mice in each group.Changes in body weight and tumorigenesis in mice were recorded,and their organ indicators were calculated.Western blotting(WB)was used to detect the protein expression levels of protein kinase R-like ER kinase(PERK),eukaryotic initiation factor 2 subunit α(eIF2α),activating transcription factor 4(ATF4)and C/EBP homologous protein(CHOP)in each group.Results At 5,10,15 and 20 d after medication,there were no statistically significant differences in body weight among CRC,5-FU,Apr,Apr+5-FU and Apr+TUDCA groups,neither in time points nor in interactions(P＞0.05).Two days after the last administration,there was no significant difference in the indexes of thymus,lung,liver,spleen,heart,kidney and other organs among all groups(P＞0.05).Compared with CRC group,the protein expression levels of PERK,P-EIF2α/eIF2α,ATF4 and CHOP in Apr group and Apr+5-FU group were significantly increased,the number of tumors was significantly decreased,the tumor mass was significantly de-creased,and the tumor volume was significantly decreased(P＜0.05),and the improvement of Apr+5-FU group was better than that of other groups(P＜0.05).Conclusion Apr can enhance chemotherapy sensitivity and reverse chemotherapy resistance in CRC mice,which may be mediated by downstream molecules of ERS pathway.

Objective Based on the VOSviewer software,to systematically analyze and compare the trends and hotspots in existing Chinese and English research on kinesiophobia,aiming to provide references for research in the field of clinical intervention and rehabilitation.Methods Chinese literature data sources were selected from CNKI,Wanfang,and VIP databases,while English literature data sources were selected from PubMed and Web of Science databases.Relevant literature on kinesiophobia was selected,and the VOSviewer1.6.18 software was used to analyze the basic information materials of the literature and to draw maps.Results 760 Chinese literature articles and 4491 English literature articles were included.The peak of publication volume was concentrated between 2020 and 2024.Domestically,the overall publication volume,individual author publication volume,and team collaboration among authors were relatively lower compared to international standards.The common high-frequency keywords in both domestic and international research were"kinesiophobia,pain,rehabilitation exercise,disability,anxiety,"and the frequency of these keywords showed correlation and non-randomness.Conclusion Research on kinesiophobia is on an upward trend.Due to different development focuses,there are similarities and differences in research directions between domestic and international studies.Domestic research can achieve in-depth exploration of kinesiophobia through theoretical integration,technological transformation,population expansion,and methodological innovation.