Transfusion safety monitoring and learning provide a mechanism for identifying transfusion risks, enabling medical institutions to implement intervention measures, to reduce transfusion risks, and ultimately to improve patient safety. Recently, in response to ongoing challenges in transfusion safety, the UK Serious Hazards of Transfusion (SHOT) integrated and transformed the recommendations scattered in previous annual reports, and released the Standards for Transfusion Safety. This document specifies standards and requirements/criterion in eight key areas, including transfusion safety, transfusion information technology and equipment, supporting staff to work safely, staff education and training, safety culture, patients as safety partners, haemovigilance and risk management, and governance. The issue and implementation of the Standards marks a significant transformation in the UK's blood transfusion safety governance strategy. Understanding the content and background of the Standards will be beneficial for contemplating and exploring the future direction of China's blood transfusion safety governance strategy.

As the second part of this series, this article summarizes and synthesizes the key aspects of UK Serious Hazards of Transfusion (SHOT), SHOT’s continuous promotion of learning from excellent daily transfusion events over the past six years. This summary is based on an introduction to the holistic approach to improving patient safety—proactively learning from both failures and successes. The covered topics include an overview, definitions, case studies, implementation methods, safety culture, psychological safety in the workplace, civility in work, the use of neutral language, leading and lagging indicators, and compassionate governance. It is hoped that this article will assist domestic colleagues in understanding and studying the strategic significance of the transformation of transfusion safety governance in the UK, and inspire reflection on the strategic development direction of transfusion safety governance in China.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Objective: To analyze the characteristics and trends of drowning mortality among Chinese residents from 2010 to 2021, so as to provide a basis for developing targeted prevention strategies and reducing the burden of drowning deaths. Methods: Data on drowning mortality among Chinese residents from 2010 to 2021 were collected from the China Cause of Death Surveillance Dataset (2010-2021). The crude mortality was calculated and then standardized using the data from the Sixth National Population Census in 2010. The characteristics of drowning mortality were analyzed by genders, regions, and ages. The average annual percent change (AAPC) was employed to assess the trend in drowning mortality. Results: From 2010 to 2021, the overall crude drowning mortality among Chinese residents was 3.53/100 000, with a standardized mortality of 3.34/100 000, both showed decreasing trends (AAPC=-2.438% and -3.739%, both P<0.05). The crude and standardized mortality were higher in males than in females (4.55/100 000 vs. 2.47/100 000, 4.43/100 000 vs. 2.16/100 000, both P<0.05). Both the crude drowning mortality (AAPC=-2.974% and -1.337%) and standardized drowning mortality (AAPC=-3.806% and -3.599%) among males and females showed decreasing trends, respectively (all P<0.05). The crude and standardized drowning mortality were higher in rural residents than in urban residents (4.13/100 000 vs. 2.35/100 000, 3.86/100 000 vs. 2.27/100 000, both P<0.05). Both the crude and standardized drowning mortality in rural residents showed decreasing trends (AAPC=-3.343% and -4.515%, both P<0.05), whereas no statistically significant trends were observed in urban residents (both P>0.05). Both the crude and standardized drowning mortality were higher in western residents than in eastern residents and central residents (4.30/100 000 vs. 2.89/100 000 and 3.66/100 000, 4.14/100 000 vs. 2.64/100 000 and 3.49/100 000, all P<0.05). The standardized mortality showed decreasing trends in eastern, central and western residents (AAPC=-3.237%, -2.344%, and -5.467%, all P<0.05). The groups aged ≥65 years and 1-<5 years experienced relatively high crude drowning mortality of 8.81/105 and 7.38/105, respectively. Decreasing trends were observed in groups aged <1 year, 1-<5 years, and 5-<15 years (AAPC=-14.126%, -11.452%, and -7.443%, all P<0.05). In contrast, no statistically significant trends were observed in the other age groups (all P>0.05). Conclusions The overall drowning mortality rate among Chinese residents showed a declining trend from 2010 to 2021. However, the risks of drowning mortality remained relatively high among males, rural residents, residents in the western region, children, and the elderly.

BACKGROUND: Lung cancer is one of the leading causes of cancer-related mortality worldwide, with above 80% of cases be non-small cell lung cancer (NSCLC), among which lung squamous cell carcinoma (LUSC) occupies a significant proportion. Although comprehensive cancer therapies have considerably improved the overall survival of patients, patients with advanced LUSC have a poorer prognosis. Therefore, there is a need for a biomarker to predict the progress of advanced LUSC in order to improve prognosis through early diagnosis. Previous studies have shown that miRNAs are differentially expressed in lung cancer tissues and play roles as potential oncogenes or tumor suppressors. The aim of this study is to identify differentially expressed miRNAs between early-stage and advanced-stage LUSC, and to establish a set of miRNAs that can predict the progress of advanced LUSC. METHODS: Clinical data and miRNA-related data of LUSC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Bioinformatic methods were applied to analyze the data. Receiver operating characteristic (ROC) curves were plotted, and various online tools were used to predict target genes, with subsequent analysis of the potential biological mechanisms of these genes. RESULTS: A total of 58 differentially expressed miRNAs were identified between the experiment group and the control group. Seven miRNAs were selected for potential construction of a miRNA biomarker through LASSO regression, and based on the area under the curve (AUC) values of each miRNA, four of these miRNAs (miR-377-3p, miR-4779, miR-6803-5p, miR-3960) were ultimately chosen as biomarkers for predicting advanced LUSC. The AUC under the ROC curve for the combined four miRNAs was 0.865. Enrichment analysis showed that these target genes were involved in several pathways, including cancer-related pathways, mitogen-activated protein kinase (MAPK) signaling pathway, serine/threonine kinase, and tyrosine kinase signaling pathways. CONCLUSIONS The combined use of miR-377-3p, miR-4779, miR-6803-5p and miR-3960 provides a good predictive ability for the progress of advanced LUSC patients, with an AUC of 0.865.
Humans ; MicroRNAs/metabolism* ; Lung Neoplasms/metabolism* ; Biomarkers, Tumor/metabolism* ; Carcinoma, Squamous Cell/pathology* ; Gene Expression Regulation, Neoplastic ; Male ; Female ; Prognosis ; ROC Curve ; Middle Aged

Background/Aims: Metabolic dysfunction–associated steatotic liver disease (MASLD) is a chronic liver disease characterized by hepatic steatosis. Ubiquitin-specific protease 29 (USP29) plays pivotal roles in hepatic ischemiareperfusion injury and hepatocellular carcinoma, but its role in MASLD remains unexplored. Therefore, the aim of this study was to reveal the effects and underlying mechanisms of USP29 in MASLD progression. Methods: USP29 expression was assessed in liver samples from MASLD patients and mice. The role and molecular mechanism of USP29 in MASLD were assessed in high-fat diet-fed and high-fat/high-cholesterol diet-fed mice and palmitic acid and oleic acid treated hepatocytes. Results: USP29 protein levels were significantly reduced in mice and humans with MASLD. Hepatic steatosis, inflammation and fibrosis were significantly exacerbated by USP29 deletion and relieved by USP29 overexpression. Mechanistically, USP29 significantly activated the expression of genes related to fatty acid β-oxidation (FAO) under metabolic stimulation, directly interacted with long-chain acyl-CoA synthase 5 (ACSL5) and repressed ACSL5 degradation by increasing ACSL5 K48-linked deubiquitination. Moreover, the effect of USP29 on hepatocyte lipid accumulation and MASLD was dependent on ACSL5. Conclusions USP29 functions as a novel negative regulator of MASLD by stabilizing ACSL5 to promote FAO. The activation of the USP29-ACSL5 axis may represent a potential therapeutic strategy for MASLD.

As the third part of a series introducing the "national plan for NHS blood and transplant and hospitals to address blood shortage in the UK", this article details the development and full content of the plan to address red cell shortages. It primarily outlines an action framework and specific measures to be taken under the four defined red cell supply levels. The article places particular emphasis on the formulation and implementation of the Emergency Blood Management Arrangements (EBMA), transfusion indications, the impact and monitoring of blood shortages, and the work involved in the recovery phase of blood supply. Furthermore, by referencing appendix content, it presents the above information graphically in charts and tables.

As the fourth installment in the series introducing the "national plan for NHS blood and transplant and hospitals to address blood shortage in the UK" details the development process and full content of the "Guidance for transfusion triage and blood allocation in massively bleeding patients during a severe national blood shortage". It primarily covers: defining "massive haemorrhage," outlining the activation and implementation procedures for Emergency Blood Management Arrangements, and introducing the emergency decision-making framework for blood allocation in patients anticipated to require massive transfusion. It also elaborates on the transfusion triage process and the methods for re-evaluating triaged patients, supported by examples cited from the appendices. Notably, it proposes ethical principles for the triage of transfusion patients, offering reference principles for China in formulating relevant policies and corresponding measures. As the final article in the series on the “Overview of national plan for NHS blood and transplant and hospitals to address blood shortage in the United Kingdom ", this piece summarizes the entire collection. It concludes that unified national planning, close cross-institutional collaboration, deep involvement of specialist committees, and evidence-based clinical practice are indispensable pillars for building a blood emergency management system capable of withstanding various shocks and consistently safeguarding patient lives. For China, which is committed to refining its own blood emergency management system, the UK's experience offers profound insights and lessons for reference, particularly in areas such as system architecture, legal framework development, the operation of specialist committees, and standardized processes.

Objective:To discuss the effect of zanubrutinib(BGB-3111)combined with bortezomib(Btz)on the apoptosis of the human multiple myeloma(MM)cells,and to clarify its possible mechanism.Methods:The human MM cell lines U266,PS-R,RPMI8226,KMS28-PE,KMS28-BM,and H929 were cultured in vitro.Western blotting method was used to detect the expression level of Bruton's tyrosine kinase(BTK)protein in various cells;cell counting kit-8(CCK-8)method was used to detect the survival rates of the RPMI8226,U266,and KMS28-BM cells after treated with 0,10,20,30,40,and 50 μmol·L?1 BGB-3111.The RPMI8226,U266,and KMS28-BM cells at the logarithmic growth phase were selected and divided into control group,BGB-3111 group,Btz group,and BGB-3111+Btz group.Flow cytometry was used to detect the apoptotic rates of the cells in various groups;Western blotting method was used to detect the expression levels of myeloid cell leukemia 1(MCL-1),B-cell lymphoma-2(Bcl-2),Bcl-2-interacting mediator of cell death(Bim),phosphorylated Bim(p-Bim),P65,phosphorylated P65(p-P65),tumor necrosis factor receptor-associated factor(TRAF)2,and tumor necrosis factor alpha-induced protein 3(A20)in different kinds of cells.The U266 cells were divided into A20 overexpression group(A20-OE group)and empty vector control group(EV group).Each group was further divided into control group,BGB-3111 group,Btz group,and BGB-3111+Btz group.The corresponding plasmids were transfected;Western blotting method was used to detect the transfection efficiency of the cells in various groups;flow cytometry was used to detect the apoptotic rates of the cells in various groups after over-expression of A20.Results:The Western blotting results showed that compared with KMS28-BM cells,the expression levels of BTK protein in the U266,RPMI8226,and H929 cells were significantly increased(P<0.05 or P<0.01).The CCK-8 results showed that compared with 0 μmol·L?1 BGB-3111 group,the survival rates of the RPMI8226 and U266 cells in 10,20,30,40,and 50 μmol·L?1 BGB-3111 groups were significantly decreased(P<0.05 or P<0.01),and the survival rates of the KMS28-BM cells in 20,30,40,and 50 μmol·L?1 BGB-3111 groups were significantly decreased(P<0.05).Compared with RPMI8226 and U266 cells,the survival rates of the KMS28-BM cells in 20,30,and 40 μmol·L?1 BGB-3111 groups were significantly increased(P<0.05).Therefore,10 μmol·L?1 BGB-3111 was selected for subsequent experiments.The flow cytometry results showed that compared with control group,the apoptotic rates of the RPMI8226 and U266 cells in BGB-3111 group,Btz group,and BGB-3111+Btz group were significantly increased(P<0.05 or P<0.01);compared with BGB-3111 group and Btz group,the apoptotic rates of the RPMI8226 and U266 cells in BGB-3111+Btz group were significantly increased(P<0.01);compared with control group,the apoptotic rates of the KMS28-BM cells in Btz group and BGB-3111+Btz group were significantly increased(P<0.01);compared with BGB-3111 group,the apoptotic rate of the KMS28-BM cells in BGB-3111+Btz group was significantly increased(P<0.01);compared with EV group,the apoptotic rates of the cells in A20-OE group in Btz group and BGB-3111+Btz group were significantly increased(P<0.05).The Western blotting results showed that compared with control group,the expression levels of Bim protein in the RPMI8226 and U266 cells in BGB-3111 group,Btz group,and BGB-3111+Btz group were significantly increased(P<0.05),while the expression levels of MCL-1,p-Bim,and Bcl-2 proteins in the RPMI8226 and U266 cells in Btz group and BGB-3111+Btz group were significantly decreased(P<0.05);compared with BGB-3111 group and Btz group,the expression levels of Bim protein in the RPMI8226 and U266 cells in BGB-3111+Btz group were significantly increased(P<0.05),while the expression levels of MCL-1,p-Bim,and Bcl-2 proteins were significantly decreased(P<0.05).Compared with control group,the expression levels of p-P65 protein in the RPMI8226 and U266 cells in Btz group and BGB-3111+Btz group were significantly increased(P<0.05),while the expression levels of TRAF2 and A20 proteins were significantly decreased(P<0.05);compared with BGB-3111 group and Btz group,the expression levels of p-P65 protein in the RPMI8226 and U266 cells in BGB-3111+Btz group were significantly increased(P<0.05),while the expression levels of TRAF2 and A20 proteins were significantly decreased(P<0.05).The flow cytometry results showed that compared with EV group,the expression level of A20 protein in A20-OE group cells was significantly increased(P<0.01).Conclusion:BGB-3111 induces apoptosis in the MM cells by inhibiting BTK activity and enhances the pro-apoptotic effect of Btz.Over-expression of A20 increases the sensitivity of the MM cells to the combined treatment.The antitumor effect may be related to the inhibition of the nuclear factor kappa B(NF-κB)signaling pathway.