BACKGROUND:Metformin is currently considered the first-line medication for the treatment of type 2 diabetes.Metformin may delay the progression of osteoarthritis,but its specific mechanism of action remains unclear.OBJECTIVE:To evaluate the therapeutic effects and the related action mechanisms of metformin on osteoarthritis in rats.METHODS:(1)Network pharmacology:Potential common targets for metformin,osteoarthritis,and ferroptosis were screened using the CTD,SwissTargetPrediction,GeneCards,and OMIM databases.After importing the targets into the STRING database,protein-protein interaction analysis was conducted to identify the key targets for metformin,osteoarthritis,and ferroptosis.(2)Molecular docking:P53 and its downstream factor SLC7A11 protein structures in PDB format were downloaded from the PDB database.The 2D structure of metformin was converted to a 3D structure,and molecular docking of metformin with the proteins was performed using Discovery Studio 2019 Client.(3)In vivo experiments:Thirty male SD rats were randomly divided into three groups(n=10).The blank group did not receive surgery.The osteoarthritis model was established using the modified Hulth method for the model and metformin groups.One day after the surgery,rats in the metformin group were gavaged with metformin 200 mg/kg per day,while the blank and model groups were gavaged with physiological saline.Treatment continued for 4 weeks.Hematoxylin-eosin staining and Safranin O-fast green staining were used to observe the pathological morphology and structure of the knee cartilage,and Mankin scoring was performed.ELISA was used to measure the levels of tumor necrosis factor-α and interleukin-6 in the serum.The microplate method was used to measure serum ferroptosis-related indicators,including glutathione,malondialdehyde,and Fe2+.Immunofluorescence staining,western blot assay,and real-time qPCR were used to detect the protein and mRNA expression of P53,SLC7A11,glutathione peroxidase 4,proteoglycans,and matrix metalloproteinase 13 in the cartilage tissue of the rats.RESULTS AND CONCLUSION:(1)A total of 96 intersecting targets among metformin,osteoarthritis,and ferroptosis were identified.After protein-protein interaction analysis,77 potential targets were found.Further screening identified the core targets as TP53,AKT1,JUN,interleukin-6,MYC,interleukin-1β,and tumor necrosis factor-α,among others.(2)Docking analysis results showed that metformin bound strongly and stably with P53 and its downstream factor SLC7A11.(3)In the model group,the knee cartilage surface was irregular,with cartilage tissue defects and reduced chondrocyte numbers.Compared to the model group,the knee cartilage structure damage in the metformin group was significantly improved,with a smoother cartilage surface and increased chondrocyte numbers.The Mankin score in the model group was significantly higher than that in the blank group,while the Mankin score in the intervention group was significantly lower than that in the model group.(4)Compared with the model group,the metformin group had significantly lower levels of tumor necrosis factor-α,interleukin-6,malondialdehyde,and Fe2+,and significantly higher glutathione levels.(5)Compared to the model group,the metformin group had significantly increased protein and mRNA expression of SLC7A11,glutathione peroxidase 4,and proteoglycans,and significantly decreased protein and mRNA expression of P53 and matrix metalloproteinase 13 in their cartilage tissue.(6)The results indicate that metformin can effectively improve cartilage damage in osteoarthritis rats and alleviate chondrocyte ferroptosis by inhibiting the aberrantly activated P53/SLC7A11/glutathione peroxidase 4 signaling pathway.This improvement in chondrocyte iron metabolism and lipid peroxidation response further reduces cartilage matrix degradation and prevents further cartilage damage and inflammatory response.

BACKGROUND:Metformin is currently considered the first-line medication for the treatment of type 2 diabetes.Metformin may delay the progression of osteoarthritis,but its specific mechanism of action remains unclear.OBJECTIVE:To evaluate the therapeutic effects and the related action mechanisms of metformin on osteoarthritis in rats.METHODS:(1)Network pharmacology:Potential common targets for metformin,osteoarthritis,and ferroptosis were screened using the CTD,SwissTargetPrediction,GeneCards,and OMIM databases.After importing the targets into the STRING database,protein-protein interaction analysis was conducted to identify the key targets for metformin,osteoarthritis,and ferroptosis.(2)Molecular docking:P53 and its downstream factor SLC7A11 protein structures in PDB format were downloaded from the PDB database.The 2D structure of metformin was converted to a 3D structure,and molecular docking of metformin with the proteins was performed using Discovery Studio 2019 Client.(3)In vivo experiments:Thirty male SD rats were randomly divided into three groups(n=10).The blank group did not receive surgery.The osteoarthritis model was established using the modified Hulth method for the model and metformin groups.One day after the surgery,rats in the metformin group were gavaged with metformin 200 mg/kg per day,while the blank and model groups were gavaged with physiological saline.Treatment continued for 4 weeks.Hematoxylin-eosin staining and Safranin O-fast green staining were used to observe the pathological morphology and structure of the knee cartilage,and Mankin scoring was performed.ELISA was used to measure the levels of tumor necrosis factor-α and interleukin-6 in the serum.The microplate method was used to measure serum ferroptosis-related indicators,including glutathione,malondialdehyde,and Fe2+.Immunofluorescence staining,western blot assay,and real-time qPCR were used to detect the protein and mRNA expression of P53,SLC7A11,glutathione peroxidase 4,proteoglycans,and matrix metalloproteinase 13 in the cartilage tissue of the rats.RESULTS AND CONCLUSION:(1)A total of 96 intersecting targets among metformin,osteoarthritis,and ferroptosis were identified.After protein-protein interaction analysis,77 potential targets were found.Further screening identified the core targets as TP53,AKT1,JUN,interleukin-6,MYC,interleukin-1β,and tumor necrosis factor-α,among others.(2)Docking analysis results showed that metformin bound strongly and stably with P53 and its downstream factor SLC7A11.(3)In the model group,the knee cartilage surface was irregular,with cartilage tissue defects and reduced chondrocyte numbers.Compared to the model group,the knee cartilage structure damage in the metformin group was significantly improved,with a smoother cartilage surface and increased chondrocyte numbers.The Mankin score in the model group was significantly higher than that in the blank group,while the Mankin score in the intervention group was significantly lower than that in the model group.(4)Compared with the model group,the metformin group had significantly lower levels of tumor necrosis factor-α,interleukin-6,malondialdehyde,and Fe2+,and significantly higher glutathione levels.(5)Compared to the model group,the metformin group had significantly increased protein and mRNA expression of SLC7A11,glutathione peroxidase 4,and proteoglycans,and significantly decreased protein and mRNA expression of P53 and matrix metalloproteinase 13 in their cartilage tissue.(6)The results indicate that metformin can effectively improve cartilage damage in osteoarthritis rats and alleviate chondrocyte ferroptosis by inhibiting the aberrantly activated P53/SLC7A11/glutathione peroxidase 4 signaling pathway.This improvement in chondrocyte iron metabolism and lipid peroxidation response further reduces cartilage matrix degradation and prevents further cartilage damage and inflammatory response.

Aim To investigate the pharmacological effects of Kochia scoparia in treating osteoporosis(OP)and explore its therapeutic mechanisms using network pharmacology methods and in vitro experiments.Meth-ods The main chemical components and the targets of Kochia scoparia were screened through literature que-ries and databases such as SwissTargetPrediction.Dis-ease targets for osteoporosis were mined using Gene-Cards and OMIM databases with"osteoporosis"as the keyword,and the intersection of the two was taken to obtain the targets for Kochia scoparia in treating osteo-porosis.The STRING database was applied to construct the core target protein-protein interaction network,the DAVID database was utilized for functional and signa-ling pathway enrichment analysis to further explore the therapeutic effects of Kochia scoparia on osteoporosis and the underlying mechanisms;molecular docking was performed using AutoDock software.Bone marrow mesenchymal stem cells(BMSCs)were cultured in vitro,and the effects of the active components of Kochia scoparia,Zingibroside R1,Chikusetsusaponin IVa,and Momordin Ic,on cell viability were detected by CCK-8.After osteogenic induction,osteogenic differentiation a-bility of BMSCs was detected by alkaline phosphatase staining and alizarin red staining;the expression of os-teogenic-related protein RUNX2 was detected by West-ern blot.Results A total of 573 targets related to Kochia scoparia and 5 774 targets related to osteoporo-sis were screened,with 346 intersection targets between them.KEGG pathway enrichment mainly included cancer pathways,PI3K-AKT signaling pathways,and HIF-1 signaling pathways,etc.The main core targets included TNF,AKT1,SRC,STAT3,EGFR,HIF-1α,etc.The active components of Kochia scoparia signifi-cantly promoted the osteogenic differentiation ability of BMSCs.Conclusions The multi-component,multi-target,and multi-pathway mechanisms of Kochia scopar-ia in the treatment of osteoporosis were preliminarily e-lucidated,providing new ideas for further research on the mechanisms of Kochia scoparia in treating osteopo-rosis.

Aim To investigate the pharmacological effects of Kochia scoparia in treating osteoporosis(OP)and explore its therapeutic mechanisms using network pharmacology methods and in vitro experiments.Meth-ods The main chemical components and the targets of Kochia scoparia were screened through literature que-ries and databases such as SwissTargetPrediction.Dis-ease targets for osteoporosis were mined using Gene-Cards and OMIM databases with"osteoporosis"as the keyword,and the intersection of the two was taken to obtain the targets for Kochia scoparia in treating osteo-porosis.The STRING database was applied to construct the core target protein-protein interaction network,the DAVID database was utilized for functional and signa-ling pathway enrichment analysis to further explore the therapeutic effects of Kochia scoparia on osteoporosis and the underlying mechanisms;molecular docking was performed using AutoDock software.Bone marrow mesenchymal stem cells(BMSCs)were cultured in vitro,and the effects of the active components of Kochia scoparia,Zingibroside R1,Chikusetsusaponin IVa,and Momordin Ic,on cell viability were detected by CCK-8.After osteogenic induction,osteogenic differentiation a-bility of BMSCs was detected by alkaline phosphatase staining and alizarin red staining;the expression of os-teogenic-related protein RUNX2 was detected by West-ern blot.Results A total of 573 targets related to Kochia scoparia and 5 774 targets related to osteoporo-sis were screened,with 346 intersection targets between them.KEGG pathway enrichment mainly included cancer pathways,PI3K-AKT signaling pathways,and HIF-1 signaling pathways,etc.The main core targets included TNF,AKT1,SRC,STAT3,EGFR,HIF-1α,etc.The active components of Kochia scoparia signifi-cantly promoted the osteogenic differentiation ability of BMSCs.Conclusions The multi-component,multi-target,and multi-pathway mechanisms of Kochia scopar-ia in the treatment of osteoporosis were preliminarily e-lucidated,providing new ideas for further research on the mechanisms of Kochia scoparia in treating osteopo-rosis.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective:To investigate the risk factors for postoperative coronal imbalance in patients with type A degenerative scoliosis and to refine the Qiu classification by reclassifying type A patients.Methods:A retrospective analysis was conducted on the clinical data of patients with type A degenerative scoliosis classified by the Qiu classification who underwent corrective surgery at our hospital from January 2017 to April 2022. A total of 69 patients were enrolled in the study, including 3 males and 66 females, with an age of 60.6±6.8 years (range: 47-71 years). Based on the preoperative CBD, type A patients were further divided into three subtypes: Aa with CBD≤1 cm, Ab with CBD>1 cm with C 7 plumb line deviation toward the concave side, and Ac with CBD>1 cm with C 7 plumb line deviation toward the convex side. The incidence of coronal imbalance was compared among subtypes. During follow-up, patients with CBD ≤3 cm were classified as balanced, and those with CBD>3 cm as imbalanced. Radiographic parameters including coronal Cobb's angle (CA), CBD, L 4 tilt angle, L 5 tilt angle, thoracic kyphosis (TK), lumbar lordosis (LL), pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), and sagittal vertical axis (SVA) were measured in the standing radiographs preoperatively, 2-weeks postoperatively and 2-years follow-up. Differences in radiographic parameters between balanced and imbalanced groups were compared, and binary logistic regression was used to identify risk factors for postoperative coronal imbalance. Results:In the imbalanced Group (22 patients), there were 6 patients of type Aa (27%), 5 patients of type Ab (23%), and 11 patients of type Ac (50%), and in the balanced Group (47 patients), there were 20 patients of type Aa (43%), 18 patients of type Ab (38%), and 9 patients of type Ae (19%). The difference in subtype distribution between the two groups was significant (χ 2=6.939, P=0.029). The CBD in the imbalanced group was significantly larger than in the balanced group at the 2-years follow-up (4.18±0.86 cm vs. 1.31±0.78 cm, t=-13.813, P<0.001). The preoperative L 4 tilt angle was significantly larger in the imbalanced group compared to the balanced group (23.59°±6.86° vs. 17.64°±8.34°, t=-2.914, P=0.005). And the postoperative and 2-years follow-up L 4 tilt angles were also significantly larger than the balanced group (18.6°±5.5° vs. 11.5°±5.7°, t=-4.904, P<0.001; 18.0°±5.6° vs. 11.1°±5.7°, t=-4.691, P<0.001). Regression analysis identified the Ac type [ OR=3.937, 95% CI(1.07, 14.55), P=0.040] and excessive postoperative L 4 tilt angle [ OR=1.288, 95% CI(1.09, 1.52), P=0.003] as risk factors for postoperative coronal imbalance in type A patients. Conclusions:In the A-type of Qiu classification, patients with preoperative CBD>1 cm and trunk tilting towards the convex side (Ac type), as well as those with a large L 4 tilt angle after surgery, are more likely to experience coronal plane imbalance after surgery.

Objective:To investigate the difference of Roussouly ideal classification in predicting postoperative proximal junctional kyphosis (PJK) between adult degenerative spinal deformity patients with and without pelvic fixation and the potential reasons.Methods:From January 2017 to January 2020, a total of 95 patients (4 males, 91 females; with an average age of 62.03±6.30 years) with degenerative spinal deformities were retrospectively analyzed. There were 35 patients in the non-pelvic group (1 male, 34 females) and 60 patients in the pelvic group (3 males, 57 females). The radiographic parameters included coronal Cobb's angle (CA), pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), thoracic kyphosis (TK), lumbar lordosis (LL), sagittal vertical axis (SVA), T1 pelvic angle (TPA), and proximal junctional angle (PJA) were measured in the standing radiographs preoperatively, postoperatively at 2 weeks, and 2-year follow-up. Changes in PT and SS were calculated for patients at 2 weeks and the 2-year follow-up. Based on the revised Roussouly classification, 95 patients were classified into different types preoperatively, postoperatively at 2 weeks, and during the 2-year follow-up. Changes in the classification of patients were documented postoperatively at 2 weeks. Roussouly types were determined using preoperative pelvic parameters, and a match was defined when the 2-week postoperative classification aligned with the ideal type. The occurrence of PJK and the relationship with classification matching were recorded in the group. Independent t-tests were used for intergroup comparisons of radiographic parameters, and chi-square tests were employed to assess classification changes and predictive accuracy of the Roussouly classification. Results:Preoperative PT, TPA and SVA in non-pelvic group were significantly smaller than those in pelvic group, and preoperative SS and LL larger than those in pelvic group ( P<0.05). The changes of PT and SS in non-pelvic group were significantly lower than those in pelvic group 2 weeks after surgery ( P<0.05). The proportion of classification changes in the pelvic group was significantly higher than that in the non-pelvic group (60% vs. 34%, χ 2=5.847, P=0.016). Among the 95 patients, a total of 29 experienced PJK during the follow-up, with 3 cases progressing to PJF. The incidence of PJK in mismatched patients was 37% with no significant difference compared with matched patients (19%) (χ 2=3.357, P=0.067). In the sacral spine group of 60 patients, 22 experienced PJK, with 3 cases progressing to PJF. Among them, 19 patients with PJK had a classification mismatch with the ideal classification at 2 weeks postoperatively. The PJK incidence was significantly higher in mismatched patients (45%) compared to matched patients (17%) (χ 2=4.429, P=0.035). In the non-pelvic group, 7 patients developed PJK, with 3 mismatched cases. The PJK incidence in mismatched vs. matched patients was 18% vs. 22%, showing no significant difference (χ 2=0.114, P=0.735). Conclusions:For the patients with degenerative spinal deformity, pelvic fixation leads to a more complete restoration of the ideal Roussouly classification. Restoration of the Roussouly type in patients with pelvic fixation is a reliable predictor of postoperative PJK. However, in patients without pelvic fixation, the alignment with the ideal Roussouly classification does not significantly correlate with PJK development.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

ObjectiveTo investigate the impact of preoperative frailty on the prognosis of patients with pancreatic cancer who underwent pancreaticoduodenectomy. MethodsA retrospective analysis was conducted on the clinical data of 435 pancreatic cancer patients who underwent pancreaticoduodenectomy at Sun Yat-sen Memorial Hospital of Sun Yat-sen University. Preoperative frailty was assessed using the FRAIL questionnaire. Binary logistics regression analysis was employed to identify factors influencing frailty， and Cox regression analysis was used to evaluate the effect of frailty on survival. According to the demographic characteristics， subgroup analyses were performed on the effect of frailty on prognosis of patients with pancreatic cancer with pancreaticoduodenectomy. ResultsAmong the 435 patients enrolled， 119 （27.4%） exhibited frailty， while 316 （72.6%） did not. Significant differences were observed between the two groups in various clinical parameters， including age， body mass index， American Society of Anesthesiologists （ASA） score， postoperative red blood cell transfusion， postoperative abdominal abscess， serum levels of glycoantigens 199， glycoantigens 125， and alpha fetoprotein， leukocyte count， neutrophil， high density lipoprotein （HDL） level， and pain intensity （P＜0.05）. Advanced age and an ASA score of Ⅲ were identified as risk factors for frailty， whereas HDL level was a protective factor. Non-frail patients had better postoperative survival times than frail patients. HDL was determined to be an independent protective factor for prognosis， while LDL was an independent risk factor. ConclusionsThis study demonstrates that preoperative frailty is a significant predictor of poor prognosis in pancreatic cancer patients who underwent pancreaticoduodenectomy.These findings suggest that preoperative frailty assessment and targeted interventions to improve nutritional and metabolic status could potentially enhance postoperative survival and quality of life in pancreatic cancer patients.

To understand the progress of, summarize the lessons learned from and analyze the challenges in the national schistosomiasis elimination program of China in 2024, this article presented the endemic situation of schistosomiasis and national schistosomiasis surveillance results in the People’s Republic of China in 2024. By the end of 2024, Shanghai Municipality, Zhejiang Province, Fujian Province, Guangdong Province and Guangxi Zhuang Autonomous Region continued to consolidate schistosomiasis elimination achievements, and 7 provinces of Jiangsu, Sichuan, Yunnan, Hubei, Hunan, Anhui and Jiangxi maintained the criteria of schistosomiasis transmission interruption. A total of 450 counties (cites, districts) were found to be endemic for schistosomiasis in China in 2024, including 26 061 endemic villages covering 73 630 500 residents at risk of infections. Among the 450 counties (cities, districts) endemic for schistosomiasis, 388 (86.22%) achieved the criteria of schistosomiasis elimination and 62 (13.78%) achieved the criteria of transmission interruption. In 2024, a total of 4 102 624 individuals received immunological tests for schistosomiasis in China, with 44 823 sero-positives identified (1.09% seroprevalence), and a total of 169 722 individuals received parasitological examinations, with 1 egg-positives detected. A total of 27 321 cases with advanced schistosomiasis were documented in China by the end of 2024. In 2024, a total of 575 686 bovines were raised in schistosomiasis-endemic villages of China, and 113 842 bovines received immunological tests, with 235 sero-positives detected (0.21% seroprevalence), while no egg-positives were identified among the 167 475 bovines receiving parasitological examinations. In 2024, snail survey was performed covering an area of 680 498.27 hm² in China, and 190 778.66 hm² snail habitats were identified, including 59.09 hm² emerging snail habitats and 704.23 hm² reemerging snail habitats. In 2024, a total of 19 665 schistosomiasis patients receiving chemotherapy with praziquantel in China, and expanded chemotherapy was given to humans at 571 722 person-times and to bovines at 306 740 herd-times. In addition, snail control with chemical treatment covered 117 111.37 hm² snail habitats across China in 2024, and the actual area of chemical treatment was 66 562.95 hm², while environmental improvements were performed in snail habitats covering an area of 1 374.26 hm². The national schistosomiasis surveillance results showed that the mean prevalence rates of Schistosoma japonicum infections were both 0 among humans and bovines in China in 2024, and no S. japonicum infection was detected in snails. These data demonstrated that the prevalence of schistosomiasis remained at a low level in China in 2024; however, the areas of snail habitats remained high and the number of fenced cattle showed a slight increase. To address these risks, it is imperative to maintain the integrated strategy with an emphasis on management of the source of S. japonicum infection and intensified snail control in high-risk areas, and to reinforce schistosomiasis surveillance and forecast and snail control in high-risk areas.