Objective: To analyze the social causes of the decline in college students' blood donation participation from a generational perspective and to explore corresponding adjustments to recruitment strategies. Methods: National official statistics on voluntary blood donation from 1998 to 2026 were collected, along with meta-analysis results of blood donation surveys conducted in Chinese universities (sample size ≥400, survey period after 2010). With Mannheim's concept of "social generation" as the framework, this study compares the differences in blood donation behaviors, motivations and cognitive characteristics among post-80s, post-90s and post-00s college students, and analyzes the decline mechanism from four dimensions: risk perception, personal efficacy, community identity and information reception. Results: From 1998 to 2023, the number of blood donors, total blood collection volume and blood donation rate per thousand population increased continuously. Structural contradictions in blood supply and demand became prominent after 2024, and the proportion of spontaneous street blood donation dropped below 25%. The contribution of college students to blood donation showed a clear intergenerational decline: the donation rate peaked at 59.62% among the post-80s, remained 34.47%-52.38% among the post-90s, and fell below 30% among the post-00s. The blood donation motivations of three generations shifted structurally: post-80s were mainly driven by social responsibility, post-90s by empathy of helping others, and post-00s by health risks and social experience. As digital natives with risk sensitivity and circle-based social identity, post-00s exhibit a systematic mismatch with traditional administrative blood donation mobilization models. Conclusion: Traditional indoctrination publicity and top-down administrative mobilization fail to align with the value logic of post-00s. It is necessary to improve recruitment from trust construction, meaning empowerment, circle-based mobilization and service optimization, and implement precise and experiential strategies to continuously stimulate college students' internal motivation of voluntary blood donation.

This study started from the connotation of public welfare and, from the perspective of equal rights and responsibilities, interpreted the public welfare responsibilities and entitlements of hospitals. It developed corresponding quantitative measurement tools and constructed a Public Welfare Rights and Responsibilities Index. Public welfare responsibilities were reflected in the provision of equitable, accessible, appropriate, and reasonable basic medical and public health services. These responsibilities were quantified using the market price of basic medical services, the average cost per case-mix index unit, and public service expenditures. Entitlements were reflected in financial subsidies, tax exemptions, and land policy support. Based on this framework, the study applies the Public Welfare Rights and Responsibilities Index to evaluate 147 public hospitals in City S from 2019 to 2021. The results show that the overall level of public welfare among public hospitals in City S was relatively high (with an average index of 2.39), but showed a slight downward trend. Differences were observed across hospital grades and types, with secondary-level hospitals and general hospitals demonstrating relatively higher levels of public welfare. This study could provide a practical and quantifiable method for measuring hospital public welfare within an equal rights and responsibilities framework, offering a novel analytical tool and empirical evidence to support policy formulation and performance evaluation.

Objective:To develop a financing model for the urban and rural residents′ basic medical insurance (URBMI) based on medical service costs, providing a scientific foundation for achieving a balance between fund revenue and expenditure.Methods:Drawing on operational experience from regional hospitals, 10 key factors influencing URBMI fund expenditures were distilled: the number of hospital beds per thousand population, annual hospitalization rates per hundred population, average length of stay, bed occupancy rate, county-level hospitalization rate, regional age-specific medical expenditure index, proportion of hospital personnel costs in medical revenue, number of hospital staff per bed, average annual personnel costs per employee, and the average reimbursement rate for insured individuals. Based on these 10 key factors, a URBMI financing model for a sample region was developed, and the reasonable per-capita medical expenditure and the sustainability threshold of per-capita financing were preliminarily estimated.Results:Model calculations revealed that the predicted reasonable per-capita medical expenditure of the sample county was 4 140.9 yuan. Assuming an average reimbursement rate of 50% for URBMI enrollees, the per-capita financing requirement was at least 2 070.5 yuan. Sensitivity analysis showed that the sustainability threshold of per-capita financing was more sensitive to changes in average length of stay and the proportion of hospital personnel costs in medical revenue.Conclusions:This study constructed a URBMI financing model based on 10 key factors affecting fund expenditures. By adjusting regional characteristic variables, the model can reflect how regional economic conditions and health-care needs influence URBMI financing requirements.

Objective:To investigate the role of heme oxygenase-1(HO-1)regulating autophagy and its impact on the intracel-lular growth of Mycobacterium abscessus(M.abs).Methods:The standard strain of M.abs ATCC19977 was used to stimulate mouse RAW264.7 macrophages with a specified multiple of infection(MOI)for a specified time.Western blot analysis was performed to detect the expression levels of HO-1 protein and autophagy related proteins Atg5,LC3Ⅱ and p62.Macrophages were pretreated with HO-1 specific inducer CoPP and enzyme activity inhibitor SnPP for 12 h,and incubated with M.abs for 2 h.Amikacin removed extra-cellular bacteria and continued to culture until the specified time,and cell activity was detected by CCK-8 method.Western blot and LysoTracker Red were used to detect the regulatory relationship between HO-1 protein and autophagy related proteins.Bacterial survival and TNF-α secretion levels were detected by colony count and ELISA.Results:Compared with the control group,M.abs could induce increased expression of HO-1,Atg5,LC3Ⅱ and p62 proteins.Over-expression and inhibition of HO-1 were found to effectively regu-late the expressions of Atg5,LC3Ⅱ and p62 induced by M.abs.LysoTracker Red,colony count,and ELISA results demonstrated that SnPP promoted the increasement of intracellular lysosomes,significantly inhibited M.abs intracellular proliferation,and reduced TNF-α secretion.Conclusion:Inhibition of HO-1 can enhance the autophagy flow induced by M.abs and reduce the intracellular growth of M.abs,which provides scientific basis for the development of targeted drugs targeting HO-1.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

This study started from the connotation of public welfare and, from the perspective of equal rights and responsibilities, interpreted the public welfare responsibilities and entitlements of hospitals. It developed corresponding quantitative measurement tools and constructed a Public Welfare Rights and Responsibilities Index. Public welfare responsibilities were reflected in the provision of equitable, accessible, appropriate, and reasonable basic medical and public health services. These responsibilities were quantified using the market price of basic medical services, the average cost per case-mix index unit, and public service expenditures. Entitlements were reflected in financial subsidies, tax exemptions, and land policy support. Based on this framework, the study applies the Public Welfare Rights and Responsibilities Index to evaluate 147 public hospitals in City S from 2019 to 2021. The results show that the overall level of public welfare among public hospitals in City S was relatively high (with an average index of 2.39), but showed a slight downward trend. Differences were observed across hospital grades and types, with secondary-level hospitals and general hospitals demonstrating relatively higher levels of public welfare. This study could provide a practical and quantifiable method for measuring hospital public welfare within an equal rights and responsibilities framework, offering a novel analytical tool and empirical evidence to support policy formulation and performance evaluation.

Objective:To develop a financing model for the urban and rural residents′ basic medical insurance (URBMI) based on medical service costs, providing a scientific foundation for achieving a balance between fund revenue and expenditure.Methods:Drawing on operational experience from regional hospitals, 10 key factors influencing URBMI fund expenditures were distilled: the number of hospital beds per thousand population, annual hospitalization rates per hundred population, average length of stay, bed occupancy rate, county-level hospitalization rate, regional age-specific medical expenditure index, proportion of hospital personnel costs in medical revenue, number of hospital staff per bed, average annual personnel costs per employee, and the average reimbursement rate for insured individuals. Based on these 10 key factors, a URBMI financing model for a sample region was developed, and the reasonable per-capita medical expenditure and the sustainability threshold of per-capita financing were preliminarily estimated.Results:Model calculations revealed that the predicted reasonable per-capita medical expenditure of the sample county was 4 140.9 yuan. Assuming an average reimbursement rate of 50% for URBMI enrollees, the per-capita financing requirement was at least 2 070.5 yuan. Sensitivity analysis showed that the sustainability threshold of per-capita financing was more sensitive to changes in average length of stay and the proportion of hospital personnel costs in medical revenue.Conclusions:This study constructed a URBMI financing model based on 10 key factors affecting fund expenditures. By adjusting regional characteristic variables, the model can reflect how regional economic conditions and health-care needs influence URBMI financing requirements.

Objective:To investigate the role of heme oxygenase-1(HO-1)regulating autophagy and its impact on the intracel-lular growth of Mycobacterium abscessus(M.abs).Methods:The standard strain of M.abs ATCC19977 was used to stimulate mouse RAW264.7 macrophages with a specified multiple of infection(MOI)for a specified time.Western blot analysis was performed to detect the expression levels of HO-1 protein and autophagy related proteins Atg5,LC3Ⅱ and p62.Macrophages were pretreated with HO-1 specific inducer CoPP and enzyme activity inhibitor SnPP for 12 h,and incubated with M.abs for 2 h.Amikacin removed extra-cellular bacteria and continued to culture until the specified time,and cell activity was detected by CCK-8 method.Western blot and LysoTracker Red were used to detect the regulatory relationship between HO-1 protein and autophagy related proteins.Bacterial survival and TNF-α secretion levels were detected by colony count and ELISA.Results:Compared with the control group,M.abs could induce increased expression of HO-1,Atg5,LC3Ⅱ and p62 proteins.Over-expression and inhibition of HO-1 were found to effectively regu-late the expressions of Atg5,LC3Ⅱ and p62 induced by M.abs.LysoTracker Red,colony count,and ELISA results demonstrated that SnPP promoted the increasement of intracellular lysosomes,significantly inhibited M.abs intracellular proliferation,and reduced TNF-α secretion.Conclusion:Inhibition of HO-1 can enhance the autophagy flow induced by M.abs and reduce the intracellular growth of M.abs,which provides scientific basis for the development of targeted drugs targeting HO-1.

Objective: To establish a method for determining the molecular weight and molecular weight distribution of Poly(Lactide-co-Glycolide Acid) (PLGA) using Size Exclusion Chromatography-Refractive Index-Multiangle Laser Light Scattering (SEC-RI-MALLS) and Size Exclusion Chromatography-Refractive Index (SEC-RID), and to compare the results obtained from these two methods.
Methods: For SEC-RI-MALLS, tetrahydrofuran was used as the mobile phase, Shodex GPC KF-803L was employed as the chromatographic column with a flow rate of 1 mL·min^-1, column temperature at 30 ℃, and an injection volume of 100 μL. For SEC-RID, tetrahydrofuran was also used as the mobile phase, Agilent PLgel 5 μm MIXD-D was used as the chromatographic column with a flow rate of 1 mL·min^-1, column temperature at 30 ℃, differential detector temperature at 35 ℃, and an injection volume of 20 μL. The molecular weight and molecular weight distribution were calculated using Agilent’s GPC software. The newly established methods were validated methodologically, and the molecular weight and molecular weight distribution of 13 batches of samples were determined.
Results: The precision, accuracy, stability, and repeatability tests for SEC-RI-MALLS showed RSD values of 1.35%, 1.58%, 1.53%, and 1.26%, respectively. The SEC-RID method exhibited good linearity (r=0.999 9), with RSD values for precision, accuracy, stability, and repeatability tests (n=6) of 2.05%, 1.62%, 1.30%, and 2.97%, respectively. The results obtained from SEC-RI-MALLS were lower than those from SEC-RID, and the molecular weight distribution coefficient was smaller, but the results from the paired T-test performed with the value measured by SEC-RID method and the value measured by SEC-RI-MALLS method multiplied a conversion coefficient of 1.5 showed no significant difference between the two methods.
Conclusion: Both methods are stable and reliable, and can be used for the determination of PLGA molecular weight and molecular weight distribution based on the specific situations.

OBJECTIVE: To analyze the correlation between variants in the start codon of the α-globin gene and phenotypes of thalassemia, so as to provide a basis for the diagnosis and prevention of α-thalassemia. METHODS: A retrospective study was conducted on 7 patients diagnosed by Yangjiang People's Hospital and Guangzhou Hybribio Co. Ltd., from June 2019 to October 2022. Routine blood tests and hemoglobin electrophoresis were carried out. Potential variants were identified through polymerase chain reaction (PCR) combined with Reverse dot blotting (RDB), Gap-PCR, and Sanger sequencing. This study has been approved by the Medical Ethics Committee of People's Hospital of Yangjiang (Ethics No: 20240001). RESULTS: For the 7 patients, results of blood routine test of one case was unknown, and that of another was normal. The remaining 5 cases had presented with microcytic hypochromic anemia. The results of hemoglobin electrophoresis showed that one case had normal Hb A and slightly lower Hb A2, whilst another had significantly decreased Hb A and Hb A2, in addition with the appearance of a Hb H band. The content of Hb Bart's in four neonates was ≥ 0.4%. The remaining one case had no result. Genetic testing has identified 4 rare start codon mutations, namely HBA2: c.2delT, HBA2: c.1A>G, HBA2: c.1A>T, and HBA1: c.2T>C. Among these, Patient 1 had harbored compound heterozygous variants of HBA2: c.427T>C (Hb CS) and HBA2: c.2delT. Patient 4 had harbored compound heterozygous variants of HBA2: c.1A>G and Southeast Asian type deletion. CONCLUSION Heterozygotes with HBA start codon variants usually present as silent or mild thalassemia, and the symptoms of anemia may deteriorate when combined with other α-thalassemia variant. The HBA2: c.1A>T start codon variant was unreported previously in China. The detection of start codon variants has helped to clarify the causes of anemia, genetic counseling, and guidance for reproduction.
Humans ; Phenotype ; Codon, Initiator/genetics* ; Female ; Male ; Retrospective Studies ; alpha-Globins/genetics* ; alpha-Thalassemia/genetics* ; Hemoglobin A/genetics* ; Adult ; Mutation