Objective: To analyze the demographic characteristics, return donation patterns, and risk of adverse reactions among donors temporarily deferred due to blood pressure abnormalities, so as to provide an evidence-based foundation for optimizing pre-donation blood pressure screening strategies, enhancing donor retention, and ensuring blood supply safety. Methods: Data from 2.939 million donor instances were collected through the Information Management System at the Beijing Red Cross Blood Center between January 2015 and August 2025. The analysis specifically focused on the 11 600 instances of donors temporarily deferred due to abnormal blood pressure, examining demographic characteristics (age, and gender) and donation-related features (number of donations, donation site, and type of donation). Further analysis was conducted on the return donation patterns, including the return rate, time interval to return, and the incidence, type, and severity of adverse reactions among returned donors. Results: Distribution of abnormal blood pressure: Among the 11 600 instances of abnormal blood pressure, the prevalence was significantly higher in males (0.48%, 10 111/2 086 909) than in females (0.17%, 1 465/852 090). The 46-55 age group had the highest prevalence (0.88%, 2 925/329 235), and the differences across age groups were statistically significant. The prevalence was, higher among repeat donors (0.41%, 5 242/1 276 452) than first-time donors (0.38%, 6 334/1 662 547). The prevalence at mobile donation sites outside the blood center (0.06%, 350/596 104) was higher than fixed donor centers (0.50%, 10 225/2 052 290) and group donation drives (0.34%, 1 001/290 608). Return donations: A total of 19.49% (2 256 out of 11 576) deferred donors returner and successfully donated. Among these donors, 36.17% (816 out of 2 256) returned within 7 days, while the highest proportion of returns was observed within 31-182 days (25.44%, 574/2 256). A higher return rate was observed among male donors (20.17%, 2 039/1 0111) compared to female donors (14.81%, 217/1 465). The return rate for repeat donors (43.02%, 2 255/5 242) was significantly higher than that of first-time donors (0.02%, 1/6 334). Individual donors showed a higher return rate (20.95%, 1 986/9 479) than group donors (12.88%, 270/2 097), with all differences being statistically significant (P<0.05). The differences in return rates across age groups were not statistically significant (P>0.05). Adverse reactions: The incidence of adverse reactions after return was 0.09% (2/2 256), significantly lower than the overall adverse reaction incidence during the same period (0.20%, 5 981/2 938 999). Both adverse reactions were local reaction (category A1, pain or bruising at the puncture site), with no reported cases of systemic vasovagal reactions (VR) or severe adverse events. Conclusion: The current blood pressure screening criteria may lead to the unnecessary deferral of eligible donors. The risk of adverse reactions is extremely low among returned donors who were deferred for abnormal blood pressure. A relaxation of the blood pressure screening criteria is therefore suggested, coupled with the optimization of donation site environment and blood pressure measurement procedure with reference to expert consensus to enhance donor retention and blood supply safety.

Echinococcosis is categorized into alveolar echinococcosis and cystic echinococcosis, a potentially fatal zoonotic disease that seriously damages the host. MicroRNA is a type of endogenous small non-coding RNA that binds specifically to the target gene mRNA sequence to promote mRNA degradation, or combines with other non-coding RNA to regulate or inhibit translation. Echinococcus-derived microRNA participates in various biological processes in the Echinococcus lifecycle and in the interaction and pathogenesis between Echinococcus and host through extracellular vesicle transport. This article reviews the research progress of parasite-derived microRNA in regulating the growth and development of echinococcosis and cross-species regulation of hosts, providing a reference for diagnosing and treating echinococcosis.

Radiotherapy is a cornerstone in the treatment of malignant tumors. It induces DNA damage through high-energy radiation, preferentially eliminating rapidly proliferating tumor cells. However, its clinical efficacy is often limited by tumor radioresistance and collateral damage to normal tissues. Consequently, elucidating the cellular response mechanisms to radiation stress and identifying key targets that can both sensitize tumor cells and protect normal tissues have become critical strategies for improving radiotherapy outcomes. Radiation stress triggers structural remodeling of the nucleolus, leading to the dissociation of certain ribosomal proteins from the ribosome and enabling them to acquire extra-ribosomal functions. Among these, RPL11 can be released and specifically binds to MDM2, thus inhibiting its E3 ubiquitin ligase activity, stabilizing p53, and mediating cell cycle arrest and apoptosis. The RPL11-MDM2-p53 pathway, acting as a signaling hub that links nucleolar dysfunction to cell fate determination, plays a pivotal role in maintaining genomic stability and regulating cellular responses to radiation. This review first introduces the basic characteristics of RPL11 and elucidates the molecular basis of radiation-induced ribosomal stress. It then outlines the core regulatory mechanisms of the cell cycle. On this basis, it focuses on the mechanisms by which radiation-induced RPL11 regulates the cell cycle and analyzes the specific effects of RPL11 on cell cycle. Furthermore, it discusses the role of the RPL11-MDM2-p53 pathway in cell cycle regulation. Finally, it explores the role of this pathway in maintaining genomic stability and determining cell fate, and highlights its potential value as a target for radiosensitization, aiming to provide new perspectives for enhancing tumor radiosensitivity and reducing damage to normal tissues.

Radiotherapy is a cornerstone in the treatment of malignant tumors. It induces DNA damage through high-energy radiation, preferentially eliminating rapidly proliferating tumor cells. However, its clinical efficacy is often limited by tumor radioresistance and collateral damage to normal tissues. Consequently, elucidating the cellular response mechanisms to radiation stress and identifying key targets that can both sensitize tumor cells and protect normal tissues have become critical strategies for improving radiotherapy outcomes. Radiation stress triggers structural remodeling of the nucleolus, leading to the dissociation of certain ribosomal proteins from the ribosome and enabling them to acquire extra-ribosomal functions. Among these, RPL11 can be released and specifically binds to MDM2, thus inhibiting its E3 ubiquitin ligase activity, stabilizing p53, and mediating cell cycle arrest and apoptosis. The RPL11-MDM2-p53 pathway, acting as a signaling hub that links nucleolar dysfunction to cell fate determination, plays a pivotal role in maintaining genomic stability and regulating cellular responses to radiation. This review first introduces the basic characteristics of RPL11 and elucidates the molecular basis of radiation-induced ribosomal stress. It then outlines the core regulatory mechanisms of the cell cycle. On this basis, it focuses on the mechanisms by which radiation-induced RPL11 regulates the cell cycle and analyzes the specific effects of RPL11 on cell cycle. Furthermore, it discusses the role of the RPL11-MDM2-p53 pathway in cell cycle regulation. Finally, it explores the role of this pathway in maintaining genomic stability and determining cell fate, and highlights its potential value as a target for radiosensitization, aiming to provide new perspectives for enhancing tumor radiosensitivity and reducing damage to normal tissues.

Radiotherapy is a cornerstone in the treatment of malignant tumors. It induces DNA damage through high-energy radiation, preferentially eliminating rapidly proliferating tumor cells. However, its clinical efficacy is often limited by tumor radioresistance and collateral damage to normal tissues. Consequently, elucidating the cellular response mechanisms to radiation stress and identifying key targets that can both sensitize tumor cells and protect normal tissues have become critical strategies for improving radiotherapy outcomes. Radiation stress triggers structural remodeling of the nucleolus, leading to the dissociation of certain ribosomal proteins from the ribosome and enabling them to acquire extra-ribosomal functions. Among these, RPL11 can be released and specifically binds to MDM2, thus inhibiting its E3 ubiquitin ligase activity, stabilizing p53, and mediating cell cycle arrest and apoptosis. The RPL11-MDM2-p53 pathway, acting as a signaling hub that links nucleolar dysfunction to cell fate determination, plays a pivotal role in maintaining genomic stability and regulating cellular responses to radiation. This review first introduces the basic characteristics of RPL11 and elucidates the molecular basis of radiation-induced ribosomal stress. It then outlines the core regulatory mechanisms of the cell cycle. On this basis, it focuses on the mechanisms by which radiation-induced RPL11 regulates the cell cycle and analyzes the specific effects of RPL11 on cell cycle. Furthermore, it discusses the role of the RPL11-MDM2-p53 pathway in cell cycle regulation. Finally, it explores the role of this pathway in maintaining genomic stability and determining cell fate, and highlights its potential value as a target for radiosensitization, aiming to provide new perspectives for enhancing tumor radiosensitivity and reducing damage to normal tissues.

AIM To evaluate the quality of Chuanxiong Chatiao Pills.METHODS The UPLC fingerprints were established,after which hierarchical cluster analysis,principal component analysis,orthogonal partial least squares discriminant analysis were performed,the contents of cimifugin,ferulic acid,liquiritin,nodakenin,senkyunolide Ⅰ,5-O-methylvisamminol,rosmarinic acid,ammonium glycyrrhizinate,imperatorin and isoimperatorin were determined.RESULTS There were 18 common peaks in the fingerprints for 44 batches of samples with the similarities of 0.75-1.00.Various batches of samples were clustered into 2 catagories,3 principal components demonstrated the accumulative variance contribution rate of 87.1％,5 quality difference markers were screened.Ten constituents showed good linear relationships within their own ranges(r≥0.999 3),whose average recoveries were 90.22％-105.30％with the RSDs of 0.66％-1.98％,whose content ranges were 0.070-0.438,0.147-0.529,0.052-0.444,1.228-6.934,0.016-0.545,0.049-1.554,0.018-0.415,0.382-2.187,0.568-3.700,0.069-0.996 mg/g,respectively.CONCLUSION This accurate,reliable and specific method can provide scientific evidence for the quality control and standardization of Chuanxiong Chatiao Pills.

Objective To explore the value of 18F-flortaucipir tau PET combined with APOE ε4 genotype status for diagnosing mild cognitive impairment(MCI).Methods A total of 213 MCI patients(MCI group)and 402 healthy controls(HC group)were selected from Alzheimer's disease neuroimaging initiative(ADNI)database.The neuropsychological information,APOE ε4 gene carrier status,tau PET and high-resolution structural MRI data were recorded.The random forest algorithm was used to screen the most informative brain regions of tau PET for diagnosing MCI,and the efficacy of tau PET for distinguishing MCI with or without APOE ε4 gene and HC were compared.Results Amygdala,parahippocampal gyrus,entorhinal cortex,posterior cingulate gyrus,inferior temporal gyrus,fusiform gyrus and middle temporal gyrus in turn were the important brain regions of tau PET for diagnosing MCI.The accuracy and the area under the curve(AUC)of tau PET standardized uptake value ratio(SUVR)model for identifying MCI with APOE ε4 gene and HC was 86.68％and 0.784,respectively,both higher than those for identifying MCI and HC,as well as MCI without APOE e4 gene and HC(with accuracy of 70.57％and 75.05％,and AUC of 0.711 and 0.609).Conclusion 18F-flortaucipir tau PET SUVR model established based on amygdala,parahippocampal gyrus,entorhinal cortex,posterior cingulate gyrus,inferior temporal gyrus,fusiform gyrus and middle temporal gyrus could be used to diagnosing MCI.Combining with APOE ε4 gene could further improve its efficacy.

AIM To evaluate the quality of Chuanxiong Chatiao Pills.METHODS The UPLC fingerprints were established,after which hierarchical cluster analysis,principal component analysis,orthogonal partial least squares discriminant analysis were performed,the contents of cimifugin,ferulic acid,liquiritin,nodakenin,senkyunolide Ⅰ,5-O-methylvisamminol,rosmarinic acid,ammonium glycyrrhizinate,imperatorin and isoimperatorin were determined.RESULTS There were 18 common peaks in the fingerprints for 44 batches of samples with the similarities of 0.75-1.00.Various batches of samples were clustered into 2 catagories,3 principal components demonstrated the accumulative variance contribution rate of 87.1％,5 quality difference markers were screened.Ten constituents showed good linear relationships within their own ranges(r≥0.999 3),whose average recoveries were 90.22％-105.30％with the RSDs of 0.66％-1.98％,whose content ranges were 0.070-0.438,0.147-0.529,0.052-0.444,1.228-6.934,0.016-0.545,0.049-1.554,0.018-0.415,0.382-2.187,0.568-3.700,0.069-0.996 mg/g,respectively.CONCLUSION This accurate,reliable and specific method can provide scientific evidence for the quality control and standardization of Chuanxiong Chatiao Pills.

Objective To explore the value of 18F-flortaucipir tau PET combined with APOE ε4 genotype status for diagnosing mild cognitive impairment(MCI).Methods A total of 213 MCI patients(MCI group)and 402 healthy controls(HC group)were selected from Alzheimer's disease neuroimaging initiative(ADNI)database.The neuropsychological information,APOE ε4 gene carrier status,tau PET and high-resolution structural MRI data were recorded.The random forest algorithm was used to screen the most informative brain regions of tau PET for diagnosing MCI,and the efficacy of tau PET for distinguishing MCI with or without APOE ε4 gene and HC were compared.Results Amygdala,parahippocampal gyrus,entorhinal cortex,posterior cingulate gyrus,inferior temporal gyrus,fusiform gyrus and middle temporal gyrus in turn were the important brain regions of tau PET for diagnosing MCI.The accuracy and the area under the curve(AUC)of tau PET standardized uptake value ratio(SUVR)model for identifying MCI with APOE ε4 gene and HC was 86.68％and 0.784,respectively,both higher than those for identifying MCI and HC,as well as MCI without APOE e4 gene and HC(with accuracy of 70.57％and 75.05％,and AUC of 0.711 and 0.609).Conclusion 18F-flortaucipir tau PET SUVR model established based on amygdala,parahippocampal gyrus,entorhinal cortex,posterior cingulate gyrus,inferior temporal gyrus,fusiform gyrus and middle temporal gyrus could be used to diagnosing MCI.Combining with APOE ε4 gene could further improve its efficacy.

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]