OBJECTIVE: To explore clinical efficacy of different technical combinations in treating ischemic diabetic foot (DF). METHODS: A retrospective analysis was conducted on 35 patients with DF who were treated with vascular interventional opening technique, periosteal distraction technique and bone cement coverage technique from January 2024 to November 2024. They were divided into comprehensive group and periosteal distraction group according to whether the vascular interventional opening technique was used in combination or not. There were 5 patients in comprehensive group, including 4 males and 1 female, aged from 59 to 73 years old with an average of (64.40±5.46) years old;the duration of diabetes ranged from 0.17 to 30.00 years with an average of (14.63±12.02) years;the courses of DF ranged from 30 to 150 days with an average of (84.00±61.48) days;2 patients were grade 2, 2 patients were grade 3, and 1 patient was grade 4 according to Wagner classification;combined vascular interventional opening, periosteal distraction and bone cement coverage surgery for treatment. There were 30 patients in periosteal stretch group, including 22 males and 8 females, aged from 58 to 86 years old with an average of (72.63±7.84) years old;the duration of diabetes was 10.00 (6.75, 16.75) years;the courses of DF was 30.00 (15.00, 37.50) days;14 patients were grade 2, 11 patients were grade 3, and 5 patients were grade 4 according to Wagner classification; combined periosteal distraction and bone cement coverage surgery for treatment. Changes of C-reactive protein (CRP), interleukin-6 (IL-6), and procalcitonin (PCT), toe skin temperature, peripheral capillary oxygen saturation (SpO₂), and visual analogue scale (VAS) for pain were compared between two groups before operation and 1 week after operation. The number of operations, healing period, healing number, toe amputation number, preoperative fever situation and the number of complications were compared between two groups. RESULTS: Both groups were followed up for at least 6 months. There were no statistically significant differences in the number of operations, healing period, toe amputation rate, wound healing rate and complications between two groups (P>0.05). Before operation, the toe skin temperature of comprehensive group (26.98±0.88) ℃ was lower than that of periosteal distraction group (28.17±1.45) ℃, and the difference was statistically significant (P<0.05);while there were no statistically significant difference in CRP, IL-6, PCT, toe SpO2 and VAS between two groups (P>0.05). At 1 week after operation, IL-6, toe skin temperature, toe SpO₂ and VAS in comprehensive group were 12.29(7.92, 22.15) pg·ml-1, (36.02±0.23) ℃, (95.80±0.84) % and(1.40±0.55) respectively, while those in periosteal distraction group were 5.49(4.36, 7.45) pg·ml^-1, (31.36±1.57) ℃, (84.53±6.38) %, (2.20±0.81);and there were statistically significant differences between two groups(P<0.05). CRP, IL-6 and VAS at 1 week after operation in both groups were decreased compared with those before operation, and the differences were statistically significant(P<0.05). The toe skin temperature and SpO₂ were increased compared with those before operation, and the differences were statistically significant(P<0.001). CONCLUSION The multi-technique combination therapy, including vascular interventional opening technique, periostealdistraction technique and bone cement covering technique, could protect each other, enhance efficacy, effectively promote the wound healing of ischemic diabetic foot ulcer, and reduce the toe amputation rate. For moderate to severe ischemic DF, the combined use of periosteal distraction and bone cement coverage techniques has a satisfactory effect. For extremely severe ischemic DF with inflow tract lesions, vascular interventional opening techniques need to be added.
Humans ; Male ; Female ; Middle Aged ; Aged ; Diabetic Foot/surgery* ; Retrospective Studies ; Aged, 80 and over ; Ischemia/surgery* ; Interleukin-6/metabolism*

Objective:This paper measures and analyzes the supply levels across districts,and explore the equity status and spatial-temporal evolution characteristics of medical resource supply during the 13th Five-Year Plan to the14th Five-Year Plan periods,aiming to provide references for future planning.Methods:Based on the public service population radiation model,the radiation population numbers of each district in Beijing in each year are calculated.Literature-based relevant indicators are selected.The improved CRITIC-entropy weight method is used to measure the supply level of each medical and health institutions.District-level supply levels per 100,000 radiated population were calculated using population density weighting.And the Gini coefficient and Moran's index are used to analyze its spatial and temporal distribution equilibrium.Results:During the 13th Five-Year Plan to the 14th Five-Year Plan periods,the overall medical resource supply level in Beijing showed an upward trend,with a slight decline in core areas and significant growth in urban development new towns.Regional disparities narrowed,and the global Moran's index values indicated positive spatial correlations in supply levels.Conclusion:The decentralization of non-capital functions in Beijing has achieved notable results,though improvements in outer suburbs remain gradual.Future efforts should strengthen cross-regional coordination,integrate innovations like internet-based medical consultations,and promote a more balanced healthcare resource supply structure aligned with public health needs.

The continuous emergence of SARS-CoV-2 variants as well as other potential future coronavirus has challenged the effectiveness of current COVID-19 vaccines. Therefore, there remains a need for alternative antivirals that target processes less susceptible to mutations, such as the formation of six-helix bundle (6-HB) during the viral fusion step of host cell entry. In this study, a novel high-throughput screening (HTS) assay employing a yeast-two-hybrid (Y2H) system was established to identify inhibitors of HR1/HR2 interaction. The compound IMB-9C, which achieved single-digit micromolar inhibition of SARS-CoV-2 and its Omicron variants with low cytotoxicity, was selected. IMB-9C effectively blocks the HR1/HR2 interaction in vitro and inhibits SARS-CoV-2-S-mediated cell-cell fusion. It binds to both HR1 and HR2 through non-covalent interaction and influences the secondary structure of HR1/HR2 complex. In addition, virtual docking and site-mutagenesis results suggest that amino acid residues A930, I931, K933, T941, and L945 are critical for IMB-9C binding to HR1. Collectively, in this study, we have developed a novel screening method for HR1/HR2 interaction inhibitors and identified IMB-9C as a potential antiviral small molecule against COVID-19 and its variants.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To analyze the development trend of medical institution bed allocation in OECD countries and provide insights for optimizing bed resources allocation in China.Methods:Data on indicators of bed allocation and related factors from 1991 to 2022 were collected from the OECD online database.Bed allocation impact dimensions were identified based on health needs and demand theories.The random effect model and correlation analysis were used to explore influencing pathways of bed allocation.Results:The number of beds per 1 000 population and average life expectancy showed a significant positive correlation in countries below the average bed level,while an inverse trend was observed in countries above the average level.The number of long-term care beds per 1000 population showed positive correlation with average life expectancy.Multidimensional factors such as the disease spectrum and bed utilization efficiency were significant correlated with the bed allocation levels.The greater the gap in inpatient and outpatient reimbursement rations,the higher the demand for hospitalization among patients with chronic disease.Conclusions:An optimal number of beds is essential for achieving higher health outcomes.The bed classification planning system should be designed to adapt to demographic changes and strengthen the medical security support system.

Objective:To investigate the relationship between adiponectin (ADPN), the ratio of high-sensitivity C-reactive protein (hs-CRP) to albumin (ALB), and the progression of acute cerebral infarction (ACI).Methods:This case-control study involved 147 patients with ACI who were treated at Xingyuan Hospital of Yulin between January 2023 and March 2024. The National Institutes of Health Stroke Scale (NIHSS) was used to evaluate disease progression. Based on the progression of the disease, the patients were divided into two groups: the progressive group ( n = 38) and the non-progressive group ( n = 109). ADPN level and the hs-CRP/ALB ratio were compared between the two groups. Additionally, multivariate logistic regression analysis was conducted to identify risk factors for disease progression in ACI patients. The predictive value of ADPN and the hs-CRP/ALB ratio for ACI was assessed using receiver operating characteristic curve analysis. Results:In the progressive group, hs-CRP level and hs-CRP/ALB ratio were (14.38 ± 3.27) mg/L and (0.43 ± 0.13), respectively, both of which were significantly higher than those in the non-progressive group [(8.92 ± 2.73) mg/L, (0.20 ± 0.07), t = 9.22, 10.37, both P < 0.001]. In contrast, the levels of ADPN and albumin in the progressive group were (2.71 ± 0.59) mg/L and (33.54 ± 8.66) g/L, respectively, both of which were significantly lower than those in the non-progressive group [(5.36 ± 1.42) mg/L, (45.05 ± 10.42) g/L, t = -15.99, -6.68, both P < 0.001]. The progressive group had higher admission NIHSS scores, a higher proportion of patients with diabetes, higher white blood cell counts, higher hemoglobin A1c (HbA1c) and fibrinogen levels compared with the non-progressive group ( t = 8.43, 2.88, 5.79, 2.77, χ2 = 4.40, all P < 0.05). Multivariate logistic regression analysis results indicated that higher admission NIHSS scores, HbA1c levels, and hs-CRP/ALB ratios were independent risk factors for disease progression in ACI patients ( OR = 2.438, 1.600, 2.971, all P < 0.05), while higher levels of ADPN were identified as a protective factor against disease progression ( OR = 0.321, P < 0.05). The receiver operating characteristic curve analysis showed that the area under the curve for predicting disease progression after admission for ACI patients using serum ADPN and hs-CRP/ALB ratio alone were 0.730 (95% CI: 0.658-0.800) and 0.758 (95% CI: 0.685-0.826), respectively. The area under the curve for the combined prediction of serum ADPN and the hs-CRP/ALB ratio was 0.895 (95% CI: 0.845-0.940), demonstrating higher predictive efficacy ( Z = 1.80, 2.13, both P < 0.05). Conclusions:ADPN level and hs-CRP/ALB ratio are closely related to the progression of ACI and demonstrate good predictive efficacy for disease progression.

Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To analyze the development trend of medical institution bed allocation in OECD countries and provide insights for optimizing bed resources allocation in China.Methods:Data on indicators of bed allocation and related factors from 1991 to 2022 were collected from the OECD online database.Bed allocation impact dimensions were identified based on health needs and demand theories.The random effect model and correlation analysis were used to explore influencing pathways of bed allocation.Results:The number of beds per 1 000 population and average life expectancy showed a significant positive correlation in countries below the average bed level,while an inverse trend was observed in countries above the average level.The number of long-term care beds per 1000 population showed positive correlation with average life expectancy.Multidimensional factors such as the disease spectrum and bed utilization efficiency were significant correlated with the bed allocation levels.The greater the gap in inpatient and outpatient reimbursement rations,the higher the demand for hospitalization among patients with chronic disease.Conclusions:An optimal number of beds is essential for achieving higher health outcomes.The bed classification planning system should be designed to adapt to demographic changes and strengthen the medical security support system.

Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.