Osteoarthritis is a common joint disease characterized by progressive degeneration of articular cartilage, leading to pain and dysfunction. Mesenchymal stem cells (MSCs) have emerged as a promising tool for the treatment of osteoarthritis due to their ability to attenuate inflammatory responses, promoting cartilage repair, and immunomodulation. Recent studies have further clarified the mechanism of MSCs in treating osteoarthritis, including direct differentiation into chondrocytes, secretion of anti-inflammatory factors, and regulation of immune response, etc. Meanwhile, researchers are conducting phase I or phase II clinical trials of MSCs in treating osteoarthritis, and positive results have been achieved. Bone marrow-derived MSCs have strong potential for multidirectional differentiation and can effectively alleviate inflammation and promote cartilage repair, but their proliferative and immunomodulatory capacities are relatively low; adipose-derived MSCs show strong anti-inflammatory effects but are slightly less efficient in cartilage regeneration; umbilical cord-derived MSCs show great potential for cartilage repair and immunomodulation and synovial-derived MSCs have excellent chondrogenesis and immunomodulation. MSCs from synovial membrane have excellent chondrogenic capacity but are difficult to obtain. Despite the current promising research results on MSCs for osteoarthritis, clinical issues such as the choice of MSC source, mode of administration, and long-term safety and efficacy still need to be further explored.

Chronic refractory wound （CRW） presents significant clinical treatment challenges due to pathological characteristics such as persistent inflammation， bacterial infection， oxidative stress and inadequate angiogenesis. Astragali Radix， a traditional Chinese medicinal herb， exerts multi-target pharmacological effects on CRW through its active components， including Astragalus polysaccharides， flavonoids， and astragaloside Ⅳ， etc. Fundamental studies indicate that these components promote CRW healing by modulating inflammatory responses， inhibiting pathogen growth， improving antioxidant capacity and stimulating neovascularization. Network pharmacology and bioinformatics studies have revealed that active components of Astragali Radix target and modulate key signaling nodes such as nuclear factor-κB， phosphatidylinositol 3-kinase/Akt， AMP-activated protein kinase， and vascular endothelial growth factor receptor， as well as inflammation-angiogenesis-related pathways， thereby synergistically exerting anti-inflammatory and pro-angiogenic effect. Clinical applications have demonstrated that oral formulations （e.g.， Huangqi guizhi decoction， Danggui huangqi decoction， etc.） reduce healing time of CRW and lower inflammatory marker levels， while topical preparations （e.g.， Zizhu ointment， Huangqi shengji ointment， electrostatically spun Astragalus polysaccharide composite nanofibre dressings， etc.） significantly improve healing rates of CRW and minimize complications.

Objective This article focuses on the investment promotion policies at the municipal and district levels(park management committee level)of biomedical industrial parks in China at different development stages.It aims to reveal the characteristics and patterns of these policies,providing a reference for the formulation of development policies for biomedical industrial parks in China.Methods A total of 166 policies issued by three biomedical industrial parks(LifeBay,Nanjing Biotech and Pharmaceutical Valley and BioBay)from January 2013 to June 2023 were coded and quantitatively analyzed using a three-dimensional analytical framework of policy tool-development stage-issuing body.Results At the municipal level,the use of policy tools by administrative development is supply-oriented and environmental-oriented.At the district level,the types of policy tools used are closely related to the stage of the park.Start-up parks have a high proportion of supply-based policy tools,growth parks have a high proportion of demand-based policy tools,and mature parks have a high proportion of environmental policy tools.Conclusion Policy insights such as the strategic use of policy tools according to the development stage of the park,the optimization of the internal structure of the tools and the enhancement of the complementarity and coordination among the tools,and the use of policy tools to promote industrial agglomeration in line with local realities are put forward.

Objective:To sinicize the adolescent personality structure questionnaire(APS-Q), and to examine the psychometric properties of APS-Q among Chinese adolescents.Methods:APS-Q was sinicized and the Chinese version of APS-Q was used for investigation.A sample of 1 207 adolescents were investigated firstly and randomly divided into sample 1 ( n1=590) and sample 2 ( n2=617) for exploratory factor analysis and confirmatory factor analysis, respectively. Moreover, the sample 3 ( n3=420) was collected to conduct confirmatory factor analysis for the second time.Sample 4( n4=83) was used to assess the test-retest reliability of APS-Q. The Chinese big five personality inventory-15 (CBF-PI-15), generalized anxiety disorder-7 (GAD-7) and patient health questionnaire-9 (PHQ-9) were used as criterion tools. Both SPSS 21.0 and Mplus 7.4 software were used for the data analysis. Results:Item analysis showed that the CITCs for items 27, 31 and 35 were low.Exploratory factor analysis suggested that after deleting items 3, 4, 21, 22, 24, 25, 26, 27, 31 and 35, the revised APS-Q was consisted with 25 items, covering 6 dimensions, which were investment and goals, aggression, sense of self, relationship with family, relationship with friends, and self-acceptance, respectively. Confirmatory factor analysis supported the six-factor model fitted well (sample 2: χ2/ df=1.94, RMSEA=0.04, CFI=0.94, TLI=0.93, and SRMR=0.05; sample 3: χ2/ df=2.12, RMSEA=0.05, CFI=0.95, TLI=0.92, and SRMR=0.06). Multigroup CFA indicated that the six-factor structure of APS-Q had strict measurement invariance across sex. The scores of APS-Q were significantly correlated with big five personality, depression, and anxiety(all P<0.05). The total score of APS-Q demonstrated satisfactory internal consistency (α=0.90, ω=0.90, split-half reliability=0.82, MIC=0.27) and test-retest reliability ( r=0.84), while the subscale scores of APS-Q showed acceptable internal consistencies (α=0.71-0.82, ω=0.72-0.82, split-half reliabilities=0.60-0.79, MIC=0.36-0.52) and test-retest coefficients ( r=0.66-0.77). Conclusion:The Chinese version of APS-Q can be used as a reliable and valid measurement to assess personality function for Chinese adolescents.

Objective To investigate the value of serum lipoprotein-associated phospholipase A2(Lp-PLA2)for predicting high-risk coronary plaques in elderly males.Methods A retrospective study was conducted on 46 elderly males aged ≥60 years undergoing health check-ups and coro-nary computed tomography angiography in our hospital between May and July 2024.Their general clinical data were collected.Artificial intelligence software was used to analyze coronary calcium scores and plaque characteristics.The participants were divided into a high-risk plaque group(n=15)and a non-high-risk plaque group(n=31).The differences were compared between the two groups.Multivariate logistic regression analysis was used to identify the influencing factors for high-risk coronary plaques.ROC curve was plotted to determine the predictive value of serum Lp-PLA2 for high-risk plaques,and its AUC value was calculated.Results The high-risk plaque group had significantly larger proportions of smoking history and hyperlipidemia,and higher level of homocysteine and Lp-PLA2 than the non-high-risk plaque group(P＜0.05,P＜0.01).Multiva-riate logistic regression analysis indicated that Lp-PLA2 was an independent risk factor for high-risk coronary plaques(HR=1.030,95％CI:1.008-1.053,P＜0.05).ROC curve analysis revealed that the AUC value of Lp-PLA2 in predicting high-risk coronary plaques was 0.833(95％CI:0.694-0.927,P＜0.01),with a sensitivity of 93.3％,a specificity of 71.0％,a positive predictive value of 62.5％,and a negative predictive value of 100％.Conclusion Serum Lp-PLA2 is of signif-icant value in predicting high-risk coronary plaques in elderly men.

Objective This article focuses on the investment promotion policies at the municipal and district levels(park management committee level)of biomedical industrial parks in China at different development stages.It aims to reveal the characteristics and patterns of these policies,providing a reference for the formulation of development policies for biomedical industrial parks in China.Methods A total of 166 policies issued by three biomedical industrial parks(LifeBay,Nanjing Biotech and Pharmaceutical Valley and BioBay)from January 2013 to June 2023 were coded and quantitatively analyzed using a three-dimensional analytical framework of policy tool-development stage-issuing body.Results At the municipal level,the use of policy tools by administrative development is supply-oriented and environmental-oriented.At the district level,the types of policy tools used are closely related to the stage of the park.Start-up parks have a high proportion of supply-based policy tools,growth parks have a high proportion of demand-based policy tools,and mature parks have a high proportion of environmental policy tools.Conclusion Policy insights such as the strategic use of policy tools according to the development stage of the park,the optimization of the internal structure of the tools and the enhancement of the complementarity and coordination among the tools,and the use of policy tools to promote industrial agglomeration in line with local realities are put forward.

Objective:To sinicize the adolescent personality structure questionnaire(APS-Q), and to examine the psychometric properties of APS-Q among Chinese adolescents.Methods:APS-Q was sinicized and the Chinese version of APS-Q was used for investigation.A sample of 1 207 adolescents were investigated firstly and randomly divided into sample 1 ( n1=590) and sample 2 ( n2=617) for exploratory factor analysis and confirmatory factor analysis, respectively. Moreover, the sample 3 ( n3=420) was collected to conduct confirmatory factor analysis for the second time.Sample 4( n4=83) was used to assess the test-retest reliability of APS-Q. The Chinese big five personality inventory-15 (CBF-PI-15), generalized anxiety disorder-7 (GAD-7) and patient health questionnaire-9 (PHQ-9) were used as criterion tools. Both SPSS 21.0 and Mplus 7.4 software were used for the data analysis. Results:Item analysis showed that the CITCs for items 27, 31 and 35 were low.Exploratory factor analysis suggested that after deleting items 3, 4, 21, 22, 24, 25, 26, 27, 31 and 35, the revised APS-Q was consisted with 25 items, covering 6 dimensions, which were investment and goals, aggression, sense of self, relationship with family, relationship with friends, and self-acceptance, respectively. Confirmatory factor analysis supported the six-factor model fitted well (sample 2: χ2/ df=1.94, RMSEA=0.04, CFI=0.94, TLI=0.93, and SRMR=0.05; sample 3: χ2/ df=2.12, RMSEA=0.05, CFI=0.95, TLI=0.92, and SRMR=0.06). Multigroup CFA indicated that the six-factor structure of APS-Q had strict measurement invariance across sex. The scores of APS-Q were significantly correlated with big five personality, depression, and anxiety(all P<0.05). The total score of APS-Q demonstrated satisfactory internal consistency (α=0.90, ω=0.90, split-half reliability=0.82, MIC=0.27) and test-retest reliability ( r=0.84), while the subscale scores of APS-Q showed acceptable internal consistencies (α=0.71-0.82, ω=0.72-0.82, split-half reliabilities=0.60-0.79, MIC=0.36-0.52) and test-retest coefficients ( r=0.66-0.77). Conclusion:The Chinese version of APS-Q can be used as a reliable and valid measurement to assess personality function for Chinese adolescents.

Osteoarthritis is a common joint disease characterized by progressive degeneration of articular cartilage, leading to pain and dysfunction. Mesenchymal stem cells (MSCs) have emerged as a promising tool for the treatment of osteoarthritis due to their ability to attenuate inflammatory responses, promoting cartilage repair, and immunomodulation. Recent studies have further clarified the mechanism of MSCs in treating osteoarthritis, including direct differentiation into chondrocytes, secretion of anti-inflammatory factors, and regulation of immune response, etc. Meanwhile, researchers are conducting phase I or phase II clinical trials of MSCs in treating osteoarthritis, and positive results have been achieved. Bone marrow-derived MSCs have strong potential for multidirectional differentiation and can effectively alleviate inflammation and promote cartilage repair, but their proliferative and immunomodulatory capacities are relatively low; adipose-derived MSCs show strong anti-inflammatory effects but are slightly less efficient in cartilage regeneration; umbilical cord-derived MSCs show great potential for cartilage repair and immunomodulation and synovial-derived MSCs have excellent chondrogenesis and immunomodulation. MSCs from synovial membrane have excellent chondrogenic capacity but are difficult to obtain. Despite the current promising research results on MSCs for osteoarthritis, clinical issues such as the choice of MSC source, mode of administration, and long-term safety and efficacy still need to be further explored.

Fragility fractures represent the final clinical manifestation of osteoporosis and are influenced by a range of risk factors. This article discusses the findings from two large-scale studies utilizing biobank and genomic data to investigate the relationships among obesity, type 2 diabetes and fracture risk, and to explore their implications for health management. The studies suggest that general obesity(defined by body mass index, BMI), central obesity(defined by waist circumference), and peripheral obesity exert different effects on fracture risk in older adults. Specifically, individuals who are overweight based on BMI have a lower fracture risk compared to those with normal weight, whereas an increased waist circumference is associated with a higher fracture risk. Moreover, genetic research indicates that genetically determined type 2 diabetes is not causally associated with increased fracture risk. In contrast, observational studies have reported a higher fracture risk in patients with type 2 diabetes; however, this association becomes non-significant after adjusting for diabetes-related risk factors. These findings highlight that maintaining a moderately elevated BMI may benefit bone formation in the elderly by providing mechanical loading to stimulate bone formation. Additionally, effective management of type 2 diabetes complications is essential for reducing fracture risk, and a certain degree of obesity may confer a protective effect against fractures in individuals with type 2 diabetes.

Objective To investigate the value of serum lipoprotein-associated phospholipase A2(Lp-PLA2)for predicting high-risk coronary plaques in elderly males.Methods A retrospective study was conducted on 46 elderly males aged ≥60 years undergoing health check-ups and coro-nary computed tomography angiography in our hospital between May and July 2024.Their general clinical data were collected.Artificial intelligence software was used to analyze coronary calcium scores and plaque characteristics.The participants were divided into a high-risk plaque group(n=15)and a non-high-risk plaque group(n=31).The differences were compared between the two groups.Multivariate logistic regression analysis was used to identify the influencing factors for high-risk coronary plaques.ROC curve was plotted to determine the predictive value of serum Lp-PLA2 for high-risk plaques,and its AUC value was calculated.Results The high-risk plaque group had significantly larger proportions of smoking history and hyperlipidemia,and higher level of homocysteine and Lp-PLA2 than the non-high-risk plaque group(P＜0.05,P＜0.01).Multiva-riate logistic regression analysis indicated that Lp-PLA2 was an independent risk factor for high-risk coronary plaques(HR=1.030,95％CI:1.008-1.053,P＜0.05).ROC curve analysis revealed that the AUC value of Lp-PLA2 in predicting high-risk coronary plaques was 0.833(95％CI:0.694-0.927,P＜0.01),with a sensitivity of 93.3％,a specificity of 71.0％,a positive predictive value of 62.5％,and a negative predictive value of 100％.Conclusion Serum Lp-PLA2 is of signif-icant value in predicting high-risk coronary plaques in elderly men.