Abstract: The differential expression and subcellular localization of single-cell proteins are closely related to the physiological state and pathological mechanisms of the body. The development of single-cell protein in situ imaging methods provides powerful tools for spatial single-cell proteomics research and single-cell protein profiling. This article summarizes the single-cell protein imaging methods developed in recent years, including the circulating immunofluorescence imaging methods based on ordered multi-round antibody incubation, mass spectrometry imaging based on metal element labeled antibodies, fluorescence imaging based on DNA-barcoded antibody, gene encoded fluorescence protein imaging and spectral imaging based on Raman spectroscopy or X-ray spectroscopy, with brief explanation of the imaging principles of these methods. It focuses on the multiple performance, imaging resolution and signal amplification performance of these methods, and analyzes their application characteristics in practical scientific research and clinical work, in the hope of providing some reference for the development of more revolutionary single-cell imaging methods, and promoting the development of biomedical and precision medicine.

Renal interstitial fibrosis（RIF） is the main pathological manifestation of chronic kidney disease. Due to the complexity of the mechanism， there is no specific treatment for RIF in clinical practice. The abnormal activation of the phosphatidylinositol 3-kinase （PI3K）/protein kinase B（Akt） signaling pathway and the activation of downstream target genes are key drivers of RIF induction and progression. Traditional Chinese medicine has the characteristics of precise efficacy and minimal toxic side effects， and the occurrence and development of RIF can be regulated by multiple targets and mutual coordination. This review focuses on the PI3K/Akt signaling pathway and summarizes the potential targets and regulatory mechanisms of traditional Chinese medicine in the treatment of RIF. It is found that various effective ingredients （such as sinomenine， mangiferin， coumarin derivates from Hydrangea paniculata， etc.） and formulas （such as Fushengong decoction， Qi-Bang-Yi-Shen formula， etc.） of traditional Chinese medicine can inhibit fibroblast proliferation， improve inflammation and oxidative stress， maintain mitochondrial stability， and slow down ferroptosis through this pathway， thereby delaying the occurrence and progression of RIF.

【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 This study aims to investigate the primary target and potential mechanism of mangiferin(MF)in treating oral submucous fibrosis(OSF)through Gene Expression Omnibus(GEO)database chip mining,network pharmacology,and molecular docking techniques.Methods Potential therapeutic targets for OSF were identified using GEO chip data.The potential targets of MF were predicted,and disease-related targets for OSF were col-lected from databases.A Venn diagram was created using the EVenn platform to identify overlapping targets.The protein-protein interaction(PPI)network was constructed using the STRING database.Gene ontology(GO)and Kyoto Encyclope-dia of Genes and Genomes(KEGG)enrichment analyses were performed using the DAVID platform.Cytoscape 3.10.1 software was used to visualize a drug-target-pathway-disease network,while AutoDocktools 1.5.6 software was employed for molecular docking analysis.Results A total of 356 potential targets for MF and 360 disease-related targets for OSF were obtained from multiple databases.The top 15 key target proteins in the PPI network were selected as significant candi-dates.GO function and KEGG pathway enrichment analyses revealed that MF treatment primarily involved advanced gly-cation end products-receptor(AGE-RAGE),epidermal growth factor receptor(EGFR),and other signaling pathways associ-ated with OSF pathogenesis.Molecular docking analysis demonstrated that MF exhibited a strong binding activity toward AKT serine kinase 1(AKT1),tumor necrosis factor(TNF),and other core targets.Conclusion These findings suggest that MF may exert its therapeutic effects on OSF through a multitarget approach involving various signaling pathways.

Epigenomic imbalance drives abnormal transcriptional processes,promoting the onset and progression of cancer.Although defective gene regulation generally affects carcinogenesis and tumor suppression networks,tumor immunogenicity and immune cells involved in antitumor responses may also be affected by epigenomic changes,which may have significant implications for the development and application of epigenetic therapy,cancer immunotherapy,and their combinations.Herein,we focus on the impact of epigenetic regulation on tumor immune cell function and the role of key abnormal epigenetic processes,DNA methylation,histone post-translational modification,and chromatin structure in tumor immunogenicity,and introduce these epigenetic research methods.We emphasize the value of small-molecule inhibitors of epigenetic modulators in enhancing antitumor immune responses and discuss the challenges of developing treatment plans that combine epigenetic therapy and immuno-therapy through the complex interaction between cancer epigenetics and cancer immunology.

Abdomen/diagnostic imaging* ; Artificial Intelligence ; Body Composition ; Magnetic Resonance Imaging ; Practice Guidelines as Topic

Objective:To explore the clinical characteristics and predictors of severe acute pancreatitis complicated with acute respiratory distress syndrome (SAP-ARDS).Methods:Clinical data of consecutive 313 SAP patients hospitalized from January 2000 to January 2020 in Peking Union Medical College Hospital, were retrospectively analyzed, including 258 cases with ARDS (ARDS group) and 55 cases without ARDS (non-ARDS group). According to the severity of ARDS, ARDS group were further divided into mild ARDS group (165 cases) and moderate to severe ARDS group (93 cases). Clinical symptoms, laboratory examination and imaging results, ICU admission time and clinical outcome, as well as the local and systemic complications, acute physiology and chronic health evaluation (APACHEⅡ) within 24 h after admission, bedside index for severity in acute pancreatitis (BISAP), CT severity index (CTSI), sequential organ failure assessment (SOFA) and quick sequenctial organ failure assessment(qSOFA) score were recorded. Univariate and multivariate logistic regression were performed to analyze independent risk factors of SAP complicated with moderate to severe ARDS. Receiver operating characteristics curves (ROC) was drawn to calculate area under the ROC curve (area under curve, AUC) and evaluate the performance of WBC and hsCRP in predicting SAP complicated with moderate to severe ARDS, and assess the performance of APACHEⅡ, BISAP, CTSI, SOFA and qSOFA scores in predicting SAP-ARDS endotracheal intubation.Results:The ICU length of stay and mortality rate of SAP-ARDS patients were significantly higher than those without ARDS [(8.3±11.6 day vs 5.7±7.7 day, 12.4% vs 3.6%, all P value <0.05)]. Univariate analysis showed that elevated WBC ( OR 4.52, 95% CI 1.64-12.4) and hsCRP ( OR 3.69, 95% CI 1.29-10.48) on admission were independent risk factors for moderate to severe ARDS with SAP. The AUC of WBC and hsCRP for predicting SAP with moderate to severe ARDS at admission were 0.651(95% CI 0.532-0.770) and 0.615 (95% CI 0.500-0.730), respectively. The predicted cut-off values (Cut-off values) were 17.5×10 9/L and 159 mg/L, respectively, and the sensitivity was 53.1% and 78.1%, the specificity was 78.1% and 48.4% respectively. The area under the ROC curve for APACHEⅡ, BISAP, CTSI, SOFA, and qSOFA score 24 h after admission in the early prediction of endotracheal intubation were 0.739 (95% CI 0.626-0.840), 0.705 (95% CI 0.602-0.809), 0.753 (95% CI 0.650-0.849 ), 0.737 (95% CI 0.615-0.836) and 0.663 (95% CI 0.570-0.794), and the optimum Cut-off values were 14 points, 3 points, 5 points, 7 points, 2 points, and the sensitivity and specificity for these predictors were 58.8% and 81.4%, 79.4% and 60.0%, 73.5% and 67.1%, 38.2% and 98.6%, 45.5% and 83.3%, respectively. Conclusions::Elevated blood WBC and hsCRP on admission were independent risk factors for moderate to severe ARDS in SAP. APACHEⅡ≥14, BISAP≥3, CTSI≥5, SOFA≥7, or qSOFA≥2 within the 24 h admission indictaed that the risk of SAP patients to receive endotracheal intubation was high.