Objective: To investigate the effects of clinical routine X-ray irradiation dose (average irradiation dose: 29.7±0.54 Gy) on the function, apoptosis, activation state and mitochondrial function of platelets during in vitro storage, so as to provide experimental evidence for optimizing platelet irradiation strategies. Methods: A paired experimental design was adopted. Platelets were collected from 12 healthy donors, and each sample was equally divided into the irradiated group and the control group (non-irradiated). All samples were stored for 5 days under standard platelet preservation conditions (22±2℃, continuous oscillation). Flow cytometry was used to detect platelet count, apoptosis rate (Annexin V+ positive rate), activation markers (CD62P, PAC-1, CD42b) and reactive oxygen species (ROS) level. Meanwhile, mitochondrial-specific probes were used to evaluate changes in mitochondrial count, membrane potential and adenosine triphosphate (ATP) content. Additionally, transmission electron microscopy (TEM) was employed to observe the ultrastructure of platelets, with a focus on mitochondrial morphology, platelet membrane integrity and granule distribution. Results: Within 5 days of storage, the platelet count was (841±89.16)×10 /L in the irradiated group and (824.5±92.88)×10 /L in the control group, with no statistically significant difference between the two groups (P=0.54). The apoptosis rate was (4.94±1.39) % in the irradiated group and (5.50±0.83) % in the control group, showing no significant difference (P=0.31). For activation indicators, the CD62P expression rate was (24.32±7.57) % in the irradiated group versus (25.21±8.13) % in the control group (P=0.43). The PAC-1 positive rates were (12.15±4.43) % and (11.75±3.40) % in the irradiated group and control group, respectively (P=0.44). The CD42b expression rates were (12.14±4.43) % and (11.75±3.4) % in the two groups, respectively (P=0.47). The ROS levels were (31.98±8.1) % and (30.64±5.89) % in the two groups, respectively (P=0.45). No significant differences were found in the above indicators. For mitochondrial function indicators, the mitochondrial count was (55.88±11.49) % in the irradiated group and (53.5±7.24) % in the control group (P=0.57). The ATP contents were (42.45±5.29) % and (41.58±9.50) % in the irradiated group and control group, respectively (P=0.77). The relative membrane potential values were (59.53±10.89) % and (57.49±6.54) % in the two groups, respectively (P=0.47). No significant difference were observed on the mitochondrial function-related indicators. TEM further confirmed that the ultrastructure of platelets in the irradiation group was intact, the mitochondrial morphology was normal, and no pathological changes such as swelling or vacuolization were observed. Conclusion: This study evaluated the impact of conventional-dose X-ray irradiation on platelet storage quality, confirming that this dose does not significant impair platelet count, apoptosis rate, activation status, or mitochondrial function. This finding provides important experimental evidence for the clinical promotion of X-ray irradiation technology and suggests its potential as a safe alternative to γ irradiation. Future studies could further expand the sample size and extend the observation period to verify the effects of X-ray irradiation on long-term platelet storage and post-transfusion in vivo survival rate.

Implementation science (IS) aims to systematically analyze and address the real-world gaps from evidence to practice and the influencing factors of the context. It is necessary to carry out qualitative research to gather relevant implementation outcomes. Nevertheless, traditional qualitative analysis has issues such as consuming a great deal of time and energy, and it is unable to promptly provide the crucial data required for implementation science research. The Rapid Qualitative Analysis (RQA) method, through semi-structured interviews and the adoption of techniques such as immediate data condensation and matrix analysis, can effectively shorten the cycle of qualitative data collection and data processing. RQA can promptly identify social determinants of health such as structural barriers, facilitators, and the behavioral characteristics of target groups. It provides a real-time basis for public health decision-making, the interpretation of complex social phenomena, and the process and effectiveness evaluation of research projects. Although RQA is difficult to conduct in-depth theoretical analysis based on grounded theory, its efficiency and flexibility make it the preferred tool for large-scale and time-sensitive research. Thus, it has been widely applied in implementation science research. This paper sorts out the core concepts and commonly used technical methods of RQA, as well as the differences between RQA and traditional qualitative analysis. It also explores the applications of RQA in intervention optimization, process evaluation, and implementation outcome evaluation. By integrating specific cases, this paper clarifies its application value in the field of implementation science. In the future, it is advisable to explore the integration of RQA with technologies such as artificial intelligence and big data, in order to bridge the gap between the transformation of scientific research achievements into practice. Under circumstances of limited resources or tight time constraints, RQA can be used to efficiently conduct implementation science research, providing convenient and scientific methodological and technical support for accelerating evidence-based practice.

Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

Tuberculosis is a zoonotic disease posing a substantial public health threat.Immunological diagnosis and vaccine im-munization are both necessary to control tuberculosis prevalence.However,the identical antigenic components in diagnostic reagents and vaccines hinder the use of animal vaccines and limit the specificity of clinical diagnosis in humans.Differentiating infected from vaccinated animals can overcome these problems.This article reviews the progress in differential diagnosis research from three as-pects:the diagnostic effects of antigens,methods for discovering new antigens,and screening of new host immune markers,to provide a theoretical basis for future research.

AIM:To investigate the mechanism by which muscle segment homeobox 2(Msx2)regulates the differentiation of outer enamel epithelial cells in the enamel organ.METHODS:Tissue paraffin sections were prepared and subjected to hematoxylin-eosin(HE)staining to analyze the effect of Msx2 deficiency on the differentiation status of epithelial cells in the enamel organ at the morphological level.At the ultrastructural level,alterations in cell structure were analyzed.The intermediate steps mediating cell differentiation were identified.Transcriptome sequencing analysis was performed to validate the molecular mechanisms underlying the observed phenomena.RESULTS:Msx2 deficiency was innovatively found to induce severe squamous epithelial hyperplasia in outer enamel epithelial cells of enamel organ,accompanied by dynamic restructuring of the cell cytoskeleton and alterations in cell adhesion at the ultrastructure level.As a transcriptional repressor,the loss of Msx2 expression results in significant increases(P＜0.05 or P＜0.01)in the mRNA expression levels of integrin β2(Itgβ2),ItgαM,Itgα4,Rac family small GTPase 2(Rac2),Rac/Cdc42 guanine nucleo-tide exchange factor 6(Arhgef6)and protein tyrosine phosphatase receptor type C(Ptprc).CONCLUSION:Msx2 regu-lates cytoskeleton structure and cell-cell interaction through the Rho GTPases signaling pathway,thereby influencing the differentiation state of outer enamel epithelial cells.This study reveals the mechanism through which Msx2 regulates the differentiation of outer enamel epithelial cells,providing a theoretical foundation for the prevention and treatment of enam-el-related clinical dental diseases.

Objective To investigate the relationship between quantitative parameters of the histogram of global fat fraction(FF)in the infrapatellar fat pad(IPFP)and the severity of knee osteoarthritis(KOA).Methods A total of 120 patients were prospectively selected and divided into the non-KOA group(KL grade 0-1),the mild KOA group(KL grade 2),and the severe KOA group(KL grade 3-4)based on the Kellgren-Lawrence(KL)classification criteria of knee X-rays.The FF maps of the IPFP were obtained based on the mDIXON-Quant technique.The region of interest(ROI)was delineated using 3D Slicer software,and global histogram analysis was performed to obtain quantitative parameters,including mean,median,10th percentile(10th),90th percentile(90th),skewness,kurtosis,and entropy.Pearson or Spearman correlation analysis was used to evaluate the correlation between each quanti-tative parameter and the severity of KOA.The diagnostic efficacy was analyzed using the receiver operating characteristic(ROC)curves.Results As the progression of KL classification,the mean,median,percentiles,and kurtosis of the global FF histogram quantitative parameters in the IPFP decreased,while skewness and entropy increased,with statistically significant among the three groups(P＜0.001).The mean,median,10th,90th,and kurtosis showed negative correlations with the KL classification(r=-0.563,-0.448,-0.614,-0.294,-0.450),while skewness and entropy showed positive correlations with the KL classification(r=0.385,0.637),all of which were statistically significant(P＜0.05).The area under the curve(AUC)for diagnosing KOA were 0.799,0.725,0.828,0.636,0.741,0.688,and 0.830,respectively.The sensitivity of the 10th and entropy were 74.4％and 77.9％,respectively,and the specificity were 85.3％and 88.2％,respectively.Conclusion The quantitative parameters of the histogram of global FF in the IPFP are correlated with the severity of KOA and can reflect the pathophysiological changes in the IPFP.They can serve as objective indicators for diagnosing KOA and assessing its severity.

Tuberculosis is a zoonotic disease posing a substantial public health threat.Immunological diagnosis and vaccine im-munization are both necessary to control tuberculosis prevalence.However,the identical antigenic components in diagnostic reagents and vaccines hinder the use of animal vaccines and limit the specificity of clinical diagnosis in humans.Differentiating infected from vaccinated animals can overcome these problems.This article reviews the progress in differential diagnosis research from three as-pects:the diagnostic effects of antigens,methods for discovering new antigens,and screening of new host immune markers,to provide a theoretical basis for future research.

This study analyzed the epidemiological characteristics and trends of respiratory syncytial virus (RSV) infections among inpatients with acute respiratory infections (ARI) in a children′s hospital in Shenzhen City inpatients from 2020 to 2023. From January 2020 to December 2023, multiple reverse transcription polymerase chain reaction (RT-PCR) combined with capillary electrophoresis fragment analysis technology was used to detect the nucleic acids of 12 respiratory pathogens, including RSV, in hospitalized children diagnosed with ARI. The patients were divided into six age groups: 0 to <6 months, 6 months to <1 year, 1 to <2 years, 2 to <5 years, 5 to <10 years, and 10 to <18 years. A total of 53 033 children were tested, including 6 830 RSV positive cases, with an overall positivity rate of 12.88%. The annual RSV positivity rates from 2020 to 2023 were 20.04%, 16.18%, 4.89%, and 13.33%, respectively, with statistically significant differences between the years ( χ2=1 185.994, P<0.001). The positive rate of RSV detection decreased with increasing age across all years (all P trend<0.05). From 2020 to 2023, the proportion of RSV-positive cases aged 2 to 5 years and older showed an increasing trend ( P trend<0.001 for all years). Compared to 2023, the median age of RSV-infected children was lower in 2020 ( Z=7.826, P<0.001) and 2021 ( Z=6.106, P<0.001). The proportion of severe infections requiring ICU admission did not change significantly across all years ( χ2=0.179, P=0.981). The RSV epidemic season in 2020 mainly occurred during 28-43 weeks, and in 2021, it spanned from 22-43 weeks. However, in 2022, the season was delayed until the 49th week and lasted for three weeks. In 2023, the seasonal epidemic appeared earlier, starting in the 14th week and lasting for 28 weeks. From 2020 to 2023, the rate of RSV co-infections with other pathogens (mycoplasma pneumoniae, human parainfluenza virus, human bocavirus, human coronavirus, human metapneumovirus, and influenza A) significantly increased (all P trend<0.01). In conclusion, the epidemiological characteristics of RSV infections in Shenzhen Children′s Hospital changed from 2020 to 2023. In 2022, there were only delayed, low-intensity and short-lived seasonal epidemics. However, in 2023, there was an earlier and prolonged epidemic, with increased infections in children aged 2 to 5 years and older and a rise in co-infections, while the proportion of severe infections requiring ICU admission remained unchanged.

Objective To understand the current situation and dynamic changing trends of healthcare-associated infection(HAI)in a tertiary first-class hospital in the northwest of Hunan Province from 2015 to 2024,and provide scientific basis for optimizing infection control strategies.Methods A single-day cross-sectional survey method was employed to investigate the HAI prevalence rates of hospitalized patients on the given survey day each year from 2015 to 2024.The standardized survey protocol on prevalence rate issued by the National Medical Institution Infec-tion Surveillance Network was strictly adhered,lanqingting real-time HAI monitoring management platform was adopted to retrieve cases from the hospital information system,and R4.2.2 was applied for statistical analysis.Results From 2015 to 2024,the prevalence rate of HAI decreased from 3.03％in 2015 to 1.76％in 2024(Z=-3.37,P＜0.001),and the HAI case prevalence rate decreased from 3.55％in 2015 to 2.20％in 2024(Z=-2.81,P=0.005).Department of critical care medicine continuously had the highest HAI case prevalence rate,which presented a downward trend over time(Z=-2.84,P=0.004).The main site of HAI was lower respiratory tract,accounting for 39.36％to 48.15％,bloodstream infection increased from 3.57％in 2015-2016 to 10.60％in 2023-2024(Z=2.41,P=0.016).A total of 302 strains of HAI pathogens were detected,including 212 strains(70.20％)of Gram-negative bacteria,mainly Pseudomonas aeruginosa(n=55,18.21％),Escherichia coli(n=45,14.90％),Acinetobacter baumannii(n=33,10.93％),and Klebsiella pneumoniae(n=31i,10.26％).65 strains(21.52％)of Gram-positive bacteria were identified,with Enterococcus faecium(n=19,6.29％)and Staphylococcus aureus(n=18,5.96％)accounting for the highest proportions.25 fungal strains(8.28％)were detected,mainly Candi-da albicans(n=11,3.64％).The use rate of antimicrobial agents showed a downward trend over the past decade(Z=-4.01,P＜0.001).Therapeutic antimicrobial use accounting for 82.42％,and its proportion increased over time(Z=6.02,P＜0.001).Prophylactic antimicrobial use accounted for 16.42％,showing a decreasing trend(Z=-2.75,P＜0.001).The pathogen detection rate presented an upward trend over the past decade(Z=13.01,P＜0.001).Conclusion The prevalence rate and case prevalence rate of HAI present a downward trend in this hospi-tal.In the future,it is necessary to establish a monitoring data-based dynamic analysis mechanism,achieve timely feedback and intervention in data monitoring,pay attention to high-risk links in department of critical care medicine,implement precise prevention and control mearsures,perform targeted prevention and control for lower respiratory tract,urinary tract,and bloodstream infection,optimize diagnosis and treatment processes,use antimicrobial agents rationally,and pay attention to the prevalence trend of Gram-negative bacteria.