BACKGROUND:In China,the patient population with osteonecrosis is large,and there is an urgent need to find new preventive targets to develop more effective treatment strategies.Metabolomics studies have shown that there is an association between human metabolites and osteonecrosis,but the causal relationship between blood metabolites and osteonecrosis has not yet been clarified.OBJECTIVE:To investigate the causal relationship between blood metabolites and osteonecrosis through two-sample Mendelian randomization analysis.METHODS:The public data of 486 blood metabolites(exposure factors)and osteonecrosis(outcome factors)were collected.Data of 486 blood metabolites were derived from a genome-wide association estimate for blood metabolites published in Nature Genetics in 2014,which covered 7 824 European adults.The single nucleotide polymorphism data for osteonecrosis were obtained from the FinnGen public database R11 dataset,containing information on a total of 431 614 samples and 21 306 430 single nucleotide polymorphism loci,with 1 788 cases of osteonecrosis and 429 826 controls,with all participants being of European descent.Mendelian randomization analysis(inverse variance weighting method,MR-Egger method,and weighted median method)was performed by Rstudio software,and then the heterogeneity test,horizontal pleiotropy test and Steiger directionality test were performed to ensure the robustness and reliability of the results.RESULTS AND CONCLUSION:(1)Sixteen blood metabolites were identified as having a significant causal relationship with osteonecrosis(Pinverse variance weighting＜Pfalse discovery rate＜0.05).(2)Eight blood metabolites increased the risk of osteonecrosis(including four known metabolites and four unknown metabolites),specifically pantothenate,beta-hydroxyisovalerate,hippurate,salicyluric glucuronide,X-08766,X-11452,X-12776 and X-14662.(3)Eight blood metabolites could reduce the risk of osteonecrosis(six known metabolites and two unknown metabolites),including cortisol,1-palmitoylglycerol(1-monopalmitin),pyroglutamyl glycine,2-stearoylglycerophosphocholine,p-cresol sulfate,ergothioneine,X-06307,X-12092.(4)The above results suggest that there is a causal relationship between 16 blood metabolites and osteonecrosis,which is expected to be a potential target for intervention in the occurrence and treatment of osteonecrosis in the future.(5)Despite the lack of relevant data from large-scale Asian populations at present,this study provides important reference value for the field of osteonecrosis in China based on European population data.In the future,domestic medical workers may be able to achieve precise intervention for osteonecrosis by regulating metabolite levels.In addition,based on the results of this study,relevant researchers can further explore the mechanism of action of metabolites in the treatment of osteonecrosis with traditional Chinese medicine,which not only helps to deepen the understanding of traditional Chinese medical therapies but also promotes the progress of integrated traditional Chinese and Western medicine research,driving the development of personalized treatment plans that are more suitable for the characteristics of the Chinese population.

BACKGROUND:In China,the patient population with osteonecrosis is large,and there is an urgent need to find new preventive targets to develop more effective treatment strategies.Metabolomics studies have shown that there is an association between human metabolites and osteonecrosis,but the causal relationship between blood metabolites and osteonecrosis has not yet been clarified.OBJECTIVE:To investigate the causal relationship between blood metabolites and osteonecrosis through two-sample Mendelian randomization analysis.METHODS:The public data of 486 blood metabolites(exposure factors)and osteonecrosis(outcome factors)were collected.Data of 486 blood metabolites were derived from a genome-wide association estimate for blood metabolites published in Nature Genetics in 2014,which covered 7 824 European adults.The single nucleotide polymorphism data for osteonecrosis were obtained from the FinnGen public database R11 dataset,containing information on a total of 431 614 samples and 21 306 430 single nucleotide polymorphism loci,with 1 788 cases of osteonecrosis and 429 826 controls,with all participants being of European descent.Mendelian randomization analysis(inverse variance weighting method,MR-Egger method,and weighted median method)was performed by Rstudio software,and then the heterogeneity test,horizontal pleiotropy test and Steiger directionality test were performed to ensure the robustness and reliability of the results.RESULTS AND CONCLUSION:(1)Sixteen blood metabolites were identified as having a significant causal relationship with osteonecrosis(Pinverse variance weighting＜Pfalse discovery rate＜0.05).(2)Eight blood metabolites increased the risk of osteonecrosis(including four known metabolites and four unknown metabolites),specifically pantothenate,beta-hydroxyisovalerate,hippurate,salicyluric glucuronide,X-08766,X-11452,X-12776 and X-14662.(3)Eight blood metabolites could reduce the risk of osteonecrosis(six known metabolites and two unknown metabolites),including cortisol,1-palmitoylglycerol(1-monopalmitin),pyroglutamyl glycine,2-stearoylglycerophosphocholine,p-cresol sulfate,ergothioneine,X-06307,X-12092.(4)The above results suggest that there is a causal relationship between 16 blood metabolites and osteonecrosis,which is expected to be a potential target for intervention in the occurrence and treatment of osteonecrosis in the future.(5)Despite the lack of relevant data from large-scale Asian populations at present,this study provides important reference value for the field of osteonecrosis in China based on European population data.In the future,domestic medical workers may be able to achieve precise intervention for osteonecrosis by regulating metabolite levels.In addition,based on the results of this study,relevant researchers can further explore the mechanism of action of metabolites in the treatment of osteonecrosis with traditional Chinese medicine,which not only helps to deepen the understanding of traditional Chinese medical therapies but also promotes the progress of integrated traditional Chinese and Western medicine research,driving the development of personalized treatment plans that are more suitable for the characteristics of the Chinese population.

Disruption of normal secretion or mucociliary clearance can impair airway defense mechanisms and lung function, and increase the risk of infection. Airway clearance techniques are recommended as part of a comprehensive treatment plan for patients. Among these, vibratory expectoration is an important method of airway clearance, which loosens and liquefies mucus and metabolites on the surface of the respiratory tract through chest wall oscillation, promoting ciliary movement to facilitate sputum expulsion. However, commonly used handheld vibrating head devices and vest-type vibration expectorators have several limitations in clinical practice, such as inconvenience of operation, limited treatment time, poor adaptability, and difficulty in disinfection. To address these issues, the research team from the department of critical care medicine at Ruijin Hospital, Shanghai Jiao Tong University, has designed a novel belt-type vibration expectorator, which has been granted a national utility model patent (Patent No.: ZL 2023 2 1610983.1). The device is mainly composed of a chest strap assembly, a sputum clearance component, and a fixed shoulder strap component. Several pockets are placed on the outer surface of the chest strap, with corresponding inner-side openings that allow the percussion head of the percussive expectorator placed inside the pocket to make contact with the patient's chest wall. Each pocket has markings indicating the percussion position, enabling the placement of the percussive expectorator according to the location of infection, thereby achieving multi-point, precise percussive vibration expectoration in different body positions. On the inner side of the chest strap, there are diagrams illustrating postural drainage, providing guidance on the body positions patients should assume based on the location of infection. The hook-and-loop fasteners on both sides of the chest strap can be wrapped around and secured according to the patient's body shape, ensuring that the sputum clearance components adhere tightly to the chest wall, allowing the vibrations generated by percussion to be effectively transmitted to the patient's airways. Additionally, to prevent the chest strap from slipping due to changes in the patient's position, a Y-shaped fixing strap can be selectively attached to the chest strap for further stabilization. This innovation not only simplifies the operation process, improves convenience and flexibility of use, but also supports the principle of "disinfection after each use by one person," which helps to reduce the risk of nosocomial infections and improve the efficiency of patients' respiratory rehabilitation.
Humans ; Vibration ; Equipment Design ; Chest Wall Oscillation/instrumentation* ; Sputum ; Expectorants ; Mucociliary Clearance

Objective:To investigate the effect of triply periodic minimal surfaces (TPMS) structure and ceramic volume fraction on the mechanical properties of polymer-infiltrated ceramic network (PICN) composite and reveal its strengthening and toughening mechanism.Methods:In this study, TPMS structures with gyroid (G), primitive (P), diamond (D), and ceramic volume fraction (40%, 55%, 70%, 85%) were designed. Porous zirconia scaffolds were prepared using stereolithography technology, and resin was infiltrated into the scaffolds through a vacuum. Then, the PICN composites were obtained after curing. The bending strength, elastic modulus and fracture toughness of PICN were tested using an electronic universal testing machine, with commercial PICN as the control group. The micromorphology of PICN was observed through stereomicroscope and scanning electron microscope. The cytocompatibility of PICN was verified by using cell counting kit, live/dead cell staining and phalloidin staining.Results:The bending strength values of PICN with different ceramic volume fractions ranged from 82.0 MPa to 376.0 MPa, and they gradually increased as the ceramic volume fraction rised. The elastic modulus values of PICN with different ceramic volume fractions ranged from 12.1 GPa to 56.1 GPa. The fracture toughness values of PICN with different ceramic volume fractions ranged from 1.7 MPa·m 1/2 to 6.5 MPa·m 1/2. The bending strength of 85G PICN reached 306.0 MPa, and it had the highest fracture toughness (6.5 MPa·m 1/2) and an appropriate elastic modulus between that of the control group and that of enamel. Under scanning electron microscopy, it could be observed that the cracks branch and deflect at the interface and eventually terminate within the resin phase. After co-culture with PICN, the survival rate of mouse fibroblasts exceeded 80%, indicating that PICN had no cytotoxicity. Conclusions:The PICN composite with TPMS structure can satisfy the mechanical properties and cytocompatibility of dental prosthesis.

BACKGROUND:Hormonal osteonecrosis of the femoral head is strongly associated with aging,but the regulatory targets and mechanisms are still unclear.Through bioinformatics combined with machine learning analysis and experimental verification,the key genes of hormonal osteonecrosis of the femoral head mediated by cell senescence will be identified,which will provide new ideas for the prevention and treatment of hormonal osteonecrosis of the femoral head.OBJECTIVE:To screen and validate the senescence core genes of hormonal osteonecrosis of the femoral head using bioinformatics analysis to explore its mechanism of action.METHODS:The GSE123568 dataset was obtained from the GPL15207 platform of the GEO database,which contained the gene expression profiles of peripheral serum samples of 30 hormonal osteonecrosis of the femoral head patients and 10 healthy controls.Data on 279 cellular senescence-related genes were obtained from the CellAge database.Differential analysis and weighted correlation network analysis(WGCNA)were performed on hormonal osteonecrosis of the femoral head gene profiles,and both were intersected with senescence-related genes and then concatenated to obtain hormonal osteonecrosis of the femoral head senescence potential genes,and GO and KEGG analyses were performed.The machine learning method screened out the pivotal genes,constructed nomogram model,and performed consensus clustering and immune infiltration analysis.Finally,clinical femoral samples were collected for validation by qPCR and western blot assay.RESULTS AND CONCLUSION:(1)41 potential genes were obtained,which were mainly enriched in biological processes such as aging and oxidative stress response,as well as FoxO and tumor necrosis factor signaling pathways.(2)The pivotal genes catalase,connective tissue growth factor,forkhead box protein O3,insulin receptor substrate 2,and mitogen-activated protein kinase kinase 11 were obtained after machine learning identification,and the predictive ability of nomogram model was good.(3)The patients were classified into three groups,namely a,b and c,by the consensus clustering analysis.Catalase,forkhead box protein O3,insulin receptor substrate 2,and mitogen-activated protein kinase kinase 11 were differentially expressed among the three molecular subtypes(P＜0.05).Results of immune infiltration showed that the abundance of immune cells,such as activated CD4+T cells,activated CD8+T cells,and eosinophils,differed among the three molecular subclasses(P＜0.05).(4)The results of qPCR and western blot assay showed that the expression of catalase,connective tissue growth factor,forkhead box protein O3,and mitogen-activated protein kinase kinase 11 was lower in hormonal osteonecrosis of the femoral head group compared to the control group(P＜0.05),and the expression of insulin receptor substrate 2 was elevated(P＜0.05).(5)It is concluded that through in-depth analysis combined with bioinformatics and machine learning,and further experimental verification,five hormonal osteonecrosis of the femoral head age-related hub genes were finally identified.These genes are catalase,connective tissue growth factor,forkhead box o3,insulin receptor substrate 2,and serine/threonine kinase 11.These genes may provide potential molecular targets for the prevention and treatment of hormonal osteonecrosis of the femoral head in the future by regulating the cellular aging process.

Objective:To investigate the effect of triply periodic minimal surfaces (TPMS) structure and ceramic volume fraction on the mechanical properties of polymer-infiltrated ceramic network (PICN) composite and reveal its strengthening and toughening mechanism.Methods:In this study, TPMS structures with gyroid (G), primitive (P), diamond (D), and ceramic volume fraction (40%, 55%, 70%, 85%) were designed. Porous zirconia scaffolds were prepared using stereolithography technology, and resin was infiltrated into the scaffolds through a vacuum. Then, the PICN composites were obtained after curing. The bending strength, elastic modulus and fracture toughness of PICN were tested using an electronic universal testing machine, with commercial PICN as the control group. The micromorphology of PICN was observed through stereomicroscope and scanning electron microscope. The cytocompatibility of PICN was verified by using cell counting kit, live/dead cell staining and phalloidin staining.Results:The bending strength values of PICN with different ceramic volume fractions ranged from 82.0 MPa to 376.0 MPa, and they gradually increased as the ceramic volume fraction rised. The elastic modulus values of PICN with different ceramic volume fractions ranged from 12.1 GPa to 56.1 GPa. The fracture toughness values of PICN with different ceramic volume fractions ranged from 1.7 MPa·m 1/2 to 6.5 MPa·m 1/2. The bending strength of 85G PICN reached 306.0 MPa, and it had the highest fracture toughness (6.5 MPa·m 1/2) and an appropriate elastic modulus between that of the control group and that of enamel. Under scanning electron microscopy, it could be observed that the cracks branch and deflect at the interface and eventually terminate within the resin phase. After co-culture with PICN, the survival rate of mouse fibroblasts exceeded 80%, indicating that PICN had no cytotoxicity. Conclusions:The PICN composite with TPMS structure can satisfy the mechanical properties and cytocompatibility of dental prosthesis.

BACKGROUND:Hormonal osteonecrosis of the femoral head is strongly associated with aging,but the regulatory targets and mechanisms are still unclear.Through bioinformatics combined with machine learning analysis and experimental verification,the key genes of hormonal osteonecrosis of the femoral head mediated by cell senescence will be identified,which will provide new ideas for the prevention and treatment of hormonal osteonecrosis of the femoral head.OBJECTIVE:To screen and validate the senescence core genes of hormonal osteonecrosis of the femoral head using bioinformatics analysis to explore its mechanism of action.METHODS:The GSE123568 dataset was obtained from the GPL15207 platform of the GEO database,which contained the gene expression profiles of peripheral serum samples of 30 hormonal osteonecrosis of the femoral head patients and 10 healthy controls.Data on 279 cellular senescence-related genes were obtained from the CellAge database.Differential analysis and weighted correlation network analysis(WGCNA)were performed on hormonal osteonecrosis of the femoral head gene profiles,and both were intersected with senescence-related genes and then concatenated to obtain hormonal osteonecrosis of the femoral head senescence potential genes,and GO and KEGG analyses were performed.The machine learning method screened out the pivotal genes,constructed nomogram model,and performed consensus clustering and immune infiltration analysis.Finally,clinical femoral samples were collected for validation by qPCR and western blot assay.RESULTS AND CONCLUSION:(1)41 potential genes were obtained,which were mainly enriched in biological processes such as aging and oxidative stress response,as well as FoxO and tumor necrosis factor signaling pathways.(2)The pivotal genes catalase,connective tissue growth factor,forkhead box protein O3,insulin receptor substrate 2,and mitogen-activated protein kinase kinase 11 were obtained after machine learning identification,and the predictive ability of nomogram model was good.(3)The patients were classified into three groups,namely a,b and c,by the consensus clustering analysis.Catalase,forkhead box protein O3,insulin receptor substrate 2,and mitogen-activated protein kinase kinase 11 were differentially expressed among the three molecular subtypes(P＜0.05).Results of immune infiltration showed that the abundance of immune cells,such as activated CD4+T cells,activated CD8+T cells,and eosinophils,differed among the three molecular subclasses(P＜0.05).(4)The results of qPCR and western blot assay showed that the expression of catalase,connective tissue growth factor,forkhead box protein O3,and mitogen-activated protein kinase kinase 11 was lower in hormonal osteonecrosis of the femoral head group compared to the control group(P＜0.05),and the expression of insulin receptor substrate 2 was elevated(P＜0.05).(5)It is concluded that through in-depth analysis combined with bioinformatics and machine learning,and further experimental verification,five hormonal osteonecrosis of the femoral head age-related hub genes were finally identified.These genes are catalase,connective tissue growth factor,forkhead box o3,insulin receptor substrate 2,and serine/threonine kinase 11.These genes may provide potential molecular targets for the prevention and treatment of hormonal osteonecrosis of the femoral head in the future by regulating the cellular aging process.

Objective To investigate the effect of cell proliferation and apoptosis induced by Pingyangmycin (PYM)and dexamethasone (DEX) on human umbilical vein endothelial cells (HUVEC)in vitro, so as to provide therotical evidence for treatment of aneurysm with PYMand DEX. Methods Control, PYM, DEX and PYM group were established after HUVEC were cultured for 24 hours. Cell morphology was observed by inverted microscope.The effect of cell proliferation and apoptosis were detected with CCK-8reagents and flow Cytometry. The apoptotic protein expression of caspase-3 was testedthrough Western blot. Results Descend of adherent cell density and the ascend of floating cells could be observed after treated with PYM and DEX for 24 hours. HUVEC could be inhibited effectively with concentration-dependent on PYM and DEX. The significant statistical difference of cell apoptosis rate between the group used for PYM alone and the group combined low-concentration PYM with DEX through Flow Cytometrywas found. There was significant statistical difference of apoptotic protein expression of caspase-3 through Western blot compared with the group used for PYM alone and the group combined low-concentration PYM with DEX. Conclusion PYM and DEXcould inhibitthe proliferation of HUVEC alone. The better effects could be observed combination low-concentration PYM with DEX , the mechanism of which might beapoptosis with low-concentration PYM and necrosis with high-concentration PYM.