[Objective] To conduct serological identification and molecular mechanism study on a ambiguous ABO blood group. [Methods] Standard serological techniques were used for the forward and reverse typing of ABO blood type. ABO gene coding and regulatory regions were analyzed by PCR after DNA extraction. Monoclonal sequencing was used to detect the haplotypes of the DNA sequence, and bioinformatics analysis was applied to predict the possible translation outcomes of the mutated DNA sequence. [Results] The sample’s red blood cells showed mixed field agglutination with anti-A, and the serum agglutinated with B cells, exhibiting serological characteristics of subtype A. Direct sequencing and monoclonal sequencing analysis of the ABO gene confirmed one allele as O02, the other had a c.27delC mutation compared with A102, which could cause the translation sequence to terminate prematurely at the 19th amino acids. Analysis and prediction suggested that the mutation might affect the function of the transferase through mechanisms such as shifting the initiation codon, altering the reading frame and affecting the splice sites. [Conclusion] This case is a rare A subtype caused by the c.27delC variation, and the impact on the glycosyltransferase may involve multiple mechanisms, which require further research and exploration.

Lipid rafts are microdomains in the cell membrane that are involved in cell signal transduction,metabolism,and intercellu-lar interactions.In recent years,studies have shown that lipid rafts play an important role in the pathogenesis of diabetes.Cholesterol and sphingolipids are the main lipid components in lipid rafts,and the protein components in lipid rafts include caveolin,flotillin,pal-mitoylated proteins,and glycosylphosphatidylinositol-anchored proteins.Changes in these components affect the structure and function of lipid rafts,which in turn may affect insulin signal transduction,leading to the occurrence of diabetes-related diseases.Lipid rafts are closely related to the occurrence and development of diabetes in different tissues.Pancreatic lipid rafts are closely related to insulin se-cretion,and their structural changes affect insulin synthesis and release.Changes in lipid rafts in adipose tissue are related to insulin resistance and disorders of glycolipid metabolism.Changes in lipid rafts in the liver can affect gluconeogenesis and glycogen synthesis.Lipid rafts in the kidney play a regulatory role in the progression of diabetic nephropathy.This article aims to provide a comprehensive overview of the role of lipid rafts in the pathogenesis of diabetes,offering insights into the identification of new targets for the prevention and treatment of diabetes in the future,as well as presenting a new perspective for the development of therapeutic agents for diabetes.

The P2X7 receptor,a ligand-gated ion channel in the purinergic receptor family,is widely ex-pressed in various tissues and organs.Its structure is significantly different from other subtypes.This struc-tural specificity confers low adenosine triphosphate(ATP)binding affinity and two distinct characteristics:ion channel function under short-term/low-concentration ATP stimulation,and formation of non-selective pores with current facilitation during prolonged/high-concentration ATP exposure.Inflammatory responses are in-volved in the pathophysiological processes of various cardiovascular diseases.Substantial evidence indicates that P2X7 receptor activation participates in the pathophysiological processes of myocardial infarction,athero-sclerosis,hypertension,and cardiomyopathy..Receptor activation potentiates chronic inflammatory cascades,mechanistically contributing to myocardial infarction,atherosclerosis,hypertension,and cardiomyopathy pro-gression.This review summarizes the structure and function of P2X7 receptors and their mechanisms in vari-ous cardiovascular diseases.

Objective To develop nanobodies with broad-spectrum reactivity,specificity,and high sensitivity that can be used for detecting multiple subtypes of influenza A virus,and to establish a nanobody-based enzyme-linked immunosorbent assay(ELISA)method.Methods Gene sequences of twelve nanobodies against influenza A virus were retrieved from the National Center for Biotechnology Information(NCBI)and nanobody databases.The nanoantibodies were prepared using molecular biological techniques including gene synthesis and recombinant expression.The binding activity,specificity,sensitivity,and affinity of these nanobodies were determined by ELISA screening and Gator affinity analysis.A double-antibody sandwich ELISA assay was established by combining the selected nanobody with a traditional mouse monoclonal antibody.Results Twelve nanobodies were expressed and purified.Two nanobodies capable of binding to multiple subtypes of influenza virus including H1,H3,H5,H7,and H9 were obtained and designated as VHH54 and KV108.Both nanobodies showed no cross-reactivity with other respiratory virus antigens.Furthermore,the KV108 nanobody exhibited the highest binding affinity,with a dissociation constant of 5.94×10-9mol/L for the influenza virus nucleoprotein(NP),and the lowest detection concentration for the NP antigen reached 0.00064 μg/mL.The double-antibody sandwich ELISA,using a combination of KV108 and a mouse monoclonal antibody,could sensitively detect the five common subtypes of influenza A virus(H1N1,H3N2,H5N1,H7N9,and H9N2).The lowest detection limit reached 110-403 PFU/mL,which was higher than that of the commercial colloidal gold kitfor influenza virus detection.Conclusion This study has identified a nanobody KV108,which is capable of binding to multiple subtypes of influenza virus,and established a nanobody-based ELISA method that can detect multiple subtypes of influenza A virus.This study can facilitate the development of nanobody-based influenza detection technologies.

【Objective】 To establish a blood quality monitoring indicator system, in order to continuously improve blood quality and standardized management. 【Methods】 Based on the research of literature and standards, and guided by the key control points of blood collection and supply process, the blood quality monitoring indicator system was developed. Through two rounds of Delphi expert consultation, the indicator content was further revised and improved according to expert opinions after six months of trial implementation. The indicator weight was calculated by questionnaire and analytic hierarchy process. 【Results】 A blood quality monitoring indicator system covering the whole process of blood collection and supply was constructed, including five primary indicators, namely blood donation service, blood component preparation, blood testing, blood supply and quality control, as well as 72 secondary indicators, including definitions, calculation formulas, etc. Two rounds of expert consultation and two rounds of feasibility study meeting were held to revise 17 items and the weight of each indicator was obtained through the analytic hierarchy process. After partial adjustments, a blood quality monitoring indicator system was formed. 【Conclusion】 A blood quality monitoring indicator system covering the whole process of blood collection and supply has been established for the first time, which can effectively evaluate the quality management level of blood banks and coordinate blood quality control activities of blood banks in Shandong like pieces in a chess game, thus improving the standardized management level

【Objective】 To objectively evaluate the quality control level of blood testing process in blood banks through quantitative monitoring and trend analysis, and to promote the homogenization level and standardized management of blood testing laboratories in blood banks. 【Methods】 A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation service, blood component preparation, blood testing, blood supply and quality control was established. The questionnaire Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong province. Quality monitoring indicators of each blood bank from January to December 2022 were collected, and 31 indicators in terms of blood testing were analyzed using SPSS25.0 software. 【Results】 The proportion of unqualified serological tests in 17 blood bank laboratories was 55.84% for ALT, 13.63% for HBsAg, 5.08% for anti HCV, 5.62% for anti HIV, 18.18% for anti TP, and 1.65% for other factors (mainly sample quality). The detection unqualified rate and median were (1.23±0.57)% and 1.11%, respectively. The ALT unqualified rate and median were (0.74±0.53)% and 0.60%, respectively. The detection unqualified rate was positively correlated with ALT unqualified rate (r=0.974, P<0.05). The unqualified rate of HBsAg, anti HCV, anti HIV and anti TP was (0.15±0.09)%, (0.05±0.04)%, (0.06±0.03)% and (0.20±0.05)% respectively. The average unqualified rate, average hemolysis rate, average insufficient volume rate and the abnormal hematocrit rate of samples in 17 blood bank laboratories was 0.21‰, 0.08‰, 0.01‰ and 0.02‰ respectively. There were differences in the retest concordance rates of four HBsAg, anti HCV and anti HIV reagents, and three anti TP reagents among 17 blood bank laboratories (P<0.05). The usage rate of ELISA reagents was (114.56±3.30)%, the outage rate of ELISA was (10.23±7.05) ‰, and the out of range rate of ELISA was (0.90±1.17) ‰. There was no correlation between the out of range rate, outrage rate and usage rate (all P>0.05), while the outrage rate was positively correlated with the usage rate (r=0.592, P<0.05). A total of 443 HBV DNA positive samples were detected in all blood banks, with an unqualified rate of 3.78/10 000; 15 HCV RNA positive samples were detected, with an unqualified rate of 0.13/10 000; 5 HIV RNA positive samples were detected, with an unqualified rate of 0.04/10 000. The unqualified rate of NAT was (0.72±0.04)‰, the single NAT reaction rate [(0.39±0.02)‰] was positively correlated with the single HBV DNA reaction rate [ (0.36±0.02) ‰] (r=0.886, P<0.05). There was a difference in the discriminated reactive rate by individual NAT among three blood bank laboratories (C, F, H) (P<0.05). The median resolution rate of 17 blood station laboratories by minipool test was 36.36%, the median rate of invalid batch of NAT was 0.67%, and the median rate of invalid result of NAT was 0.07‰. The consistency rate of ELISA dual reagent detection results was (99.63±0.24)%, and the median length of equipment failure was 14 days. The error rate of blood type testing in blood collection department was 0.14‰. 【Conclusion】 The quality monitoring indicator system for blood testing process in Shandong can monitor potential risks before, during and after the experiment, and has good applicability, feasibility, and effectiveness, and can facilitate the continuous improvement of laboratory quality control level. The application of blood testing quality monitoring indicators will promote the homogenization and standardization of blood quality management in Shandong, and lay the foundation for future comprehensive evaluations of blood banks.

【Objective】 To establish an effective quality monitoring indicator system for blood quality control in blood banks, in order to analyze the quality control indicators for blood collection and supply, and evaluate blood quality control process, thus promoting continuous improvement and standardizing management of blood quality control in blood banks. 【Methods】 A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation services, component preparation, blood testing, blood supply and quality control was established. The Questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process was distributed to 17 blood banks in Shandong, which clarified the definition and calculation formula of indicators. The quality monitoring indicator data from January to December 2022 in each blood bank were collected, and 20 quality control indicators data were analyzed by SPSS25.0 software. 【Results】 The average pass rate of key equipment monitoring, environment monitoring, key material monitoring, and blood testing item monitoring of 17 blood banks were 99.47%, 99.51%, 99.95% and 98.99%, respectively. Significant difference was noticed in the pass rate of environment monitoring among blood banks of varied scales(P<0.05), and the Pearson correlation coefficient (r) between the total number of blood quality testing items and the total amount of blood component preparation was 0.645 (P<0.05). The average discarding rates of blood testing or non-blood testing were 1.14% and 3.36% respectively, showing significant difference among blood banks of varied scales (P<0.05). The average discarding rate of lipemic blood was 3.07%, which had a positive correlation with the discarding rate of non testing (r=0.981 3, P<0.05). There was a statistically significant difference in the discarding rate of lipemic blood between blood banks with lipemic blood control measures and those without (P<0.05). The average discarding rate of abnormal color, non-standard volume, blood bag damage, hemolysis, blood protein precipitation and blood clotting were 0.20%, 0.14%, 0.06%, 0.06%, 0.02% and 0.02% respectively, showing statistically significant differences among large, medium and small blood banks(P<0.05).The average discarding rates of expired blood, other factors, confidential unit exclusion and unqualified samples were 0.02%, 0.05%, 0.003% and 0.004%, respectively. The discarding rate of blood with air bubbles was 0.015%, while that of blood with foreign body and unqualified label were 0. 【Conclusion】 The quality control indicator system of blood banks in Shandong can monitor weak points in process management, with good applicability, feasibility, and effectiveness. It is conducive to evaluate different blood banks, continuously improve the quality control level of blood collection and supply, promote the homogenization and standardization of blood quality management, and lay the foundation for comprehensive evaluation of blood banks in Shandong.

【Objective】 To establish an effective quality indicator monitoring system, scientifically and objectively evaluate the quality management level of blood banks, and achieve continuous improvement of quality management in blood bank. 【Methods】 A quality monitoring indicator system that covers the whole process of blood collection and supply was established, the questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong. Statistical analysis of 21 quality monitoring indicators in terms of blood donation service (10 indicators), blood component preparation (7 indicators ), and blood supply (4 indicators) from each blood bank from January to December 2022 were conducted using SPSS25.0 software The differences in quality monitoring indicators of blood banks of different scales were analyzed. 【Results】 The average values of quality monitoring indicators for blood donation service process of 17 blood banks were as follows: 44.66% (2 233/5 000) of regular donors proportion, 0.22% (11/50) of adverse reactions incidence, 0.46% (23/5 000) of non-standard whole blood collection rate, 0.052% (13/25 000) of missed HBsAg screening rate, 99.42% (4 971/5 000) of first, puncture successful rate, 86.49% (173/200) of double platelet collection rate, 66.50% (133/200) of 400 mL whole blood collection rate, 99.25% (397/400) of donor satisfaction rate, 82.68% (2 067/2 500) of use rate of whole blood collection bags with bypass system with sample tube, and 1 case of occupational exposure in blood collection.There was a strong positive correlation between the proportion of regular blood donors and the collection rate of 400 mL whole blood (P<0.05). The platelet collection rate, incidence of adverse reactions to blood donation, and non-standard whole blood collection rate in large blood banks were significantly lower than those in medium and small blood banks (P<0.05). The average quality monitoring indicators for blood component preparation process of 17 blood banks were as follows: the leakage rate of blood component preparation bags was 0.03% (3/10 000), the discarding rate of lipemic blood was 3.05% (61/2 000), the discarding rate of hemolysis blood was 0.13%(13/10 000). 0.06 case had labeling errors, 8 bags had blood catheter leaks, 2.76 bags had blood puncture/connection leaks, and 0.59 cases had non-conforming consumables. The discarding rate of hemolysis blood of large blood banks was significantly lower than that of medium and small blood banks (P<0.05), and the discarding rate of lipemic blood of large and medium blood banks was significantly lower than that of small blood banks (P<0.05). The average values of quality monitoring indicators for blood supply process of 17 blood banks were as follows: the discarding rate of expired blood was 0.023% (23/100 000), the leakage rate during storage and distribution was of 0.009%(9/100 000), the discarding rate of returned blood was 0.106% (53/50 000), the service satisfaction of hospitals was 99.16% (2 479/2 500). The leakage rate of blood components during storage and distribution was statistically different with that of blood component preparation bags between different blood banks (P<0.05). There were statistically significant differences in the proportion of regular blood donors, incidence of adverse reactions, non-standard whole blood collection rate, 400 mL whole blood collection rate, double platelet collection rate, the blood bag leakage rate during preparation process, the blood components leakage rate during storage and distribution as well as the discarding rate of lipemic blood, hemolysis blood, expired blood and returned blood among large, medium and small blood banks (all P<0.05). 【Conclusion】 The establishment of a quality monitoring indicator system for blood donation services, blood component preparation and blood supply processes in Shandong has good applicability, feasibility and effectiveness. It can objectively evaluate the quality management level, facilitate the continuous improvement of the quality management system, promote the homogenization of blood management in the province and lay the foundation for future comprehensive evaluation of blood banks.

Objective:To construct an evaluation indicator system for the efficiency of nursing human resources in integrated medical and elderly care institutions using Data Envelopment Analysis (DEA) and subsequently evaluate its effectiveness.Methods:This cross-sectional survey utilized literature review and investigative methods to initially establish a library of evaluation indicators for nursing human resource efficiency. The Delphi method was employed in two rounds of consultations with 17 experts from various fields, including nursing management, elderly care institution management, integrated medical and elderly care institution management, health economics management, and public health. The reliability of the indicator system was assessed based on factors such as expert enthusiasm, authority, concentration of opinions, and coordination. Adjustments, modifications, and improvements were made to the indicators based on expert opinions to establish the final indicator system. From August to December 2022, the DEA model was applied to evaluate the efficiency of 12 integrated medical and elderly care institutions in Haikou city based on this indicator system.Results:The constructed evaluation indicator system comprised 68 items divided into three levels: 9 primary indicators, 19 secondary indicators, and 40 tertiary indicators. The positive coefficients of the two rounds of expert consultations were 100% and 94.1%, with authority coefficients of 0.88 and 0.92, Kendall harmony coefficients of 0.471 and 0.348, and mean coefficients of variation of 0.16 and 0.12 ( P<0.001). DEA evaluation results for the 12 integrated medical and elderly care institutions showed that 5 were DEA effective institutions with comprehensive efficiency (OE), technical efficiency (TE), and scale efficiency (SE) values all equal to 1.000, while 7 were non-DEA effective institutions, including 4 with SE <1.000 but TE=1.000 and 3 with both SE and TE<1.000. Conclusions:The constructed evaluation indicator system demonstrates high enthusiasm, authority coefficients, and coordination in expert consultations, indicating high acceptability and comprehensive content with distinct levels and strong specialty characteristics. The DEA model′s evaluation results objectively and effectively reflect the efficiency of nursing human resources in integrated medical and elderly care institutions, demonstrating practical utility.