Objective To summarize and analyze the efficacy and influencing factors of second allogeneic hematopoietic stem cell transplantation (allo-HSCT) for acute leukemia relapsing after the first allo-HSCT. Methods Clinical data of 17 patients with acute leukemia who underwent second allo-HSCT at Peking University First Hospital from January 2005 to December 2024 were retrospectively analyzed. Results Among the 17 patients, 7 achieved long-term disease-free survival after second transplantation. The median progression-free survival after successful second transplantation was 7 months (range 8 days to 69 months). The relapse fatality was 24%, and the transplant-related fatality was 35%. Conclusions Second transplantation is an effective treatment for relapsed and refractory acute leukemia, but the relapse fatality and transplant-related fatality remain high. Patient age, time of relapse after the first transplantation and disease status before second transplantation are all factors that affect the efficacy of second transplantation. Younger age, late relapse and complete remission of disease before second transplantation are all beneficial for long-term disease-free survival after second transplantation.

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.

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.

AIM:To investigate the predictive value of central corneal thickness(CCT)and coefficient of variation(CV)of endothelial cell area for secondary glaucoma in patients with uveitis.METHODS: A retrospective study was conducted on uveitis patients admitted to our hospital from July 2023 to April 2025. Based on the occurrence of secondary glaucoma, patients were divided into an occurrence group and a non-occurrence group, and the clinical data of the two groups were compared. Univariate and multivariate Logistic regression analyses were performed to screen for factors affecting poor prognosis. The predictive value of CCT and CV for secondary glaucoma in patients with uveitis was analyzed using receiver operating characteristic(ROC)curves.RESULTS: A total of 100 uveitis patients(100 eyes)were included and categorized into an occurrence group(16 cases, 16 eyes)and a non-occurrence group(84 cases, 84 eyes), there were 9 males and 7 females in the occurrence group, with a mean age of 45.25±10.32 years, and there were 40 males and 44 females in the non-occurence group, with a mean age of 43.89±12.47 years. The CCT in the occurrence group was significantly lower than that in the non-occurrence group, while the CV was significantly higher than that in the non-occurrence group(both P<0.001). Multivariate Logistic regression analysis showed that CCT was a protective factor, and CV was a risk factor for secondary glaucoma in patients with uveitis(both P<0.01). The areas under the ROC curve(AUC)for CCT and CV in predicting secondary glaucoma were 0.794 and 0.792, respectively. The combined predictive model yielded an AUC of 0.888, with a sensitivity of 98.15% and a specificity of 67.74%, demonstrating good predictive efficacy.CONCLUSION: CCT and CV have certain clinical value in predicting secondary glaucoma in uveitis patients. The combined diagnostic approach demonstrates higher efficacy and serves as an auxiliary indicator for assessing the risk of secondary glaucoma in patients with uveitis, allowing for targeted clinical prevention and treatment measures.

BackgroundAdverse childhood experiences （ACEs） are strong predictors of psychopathology across the lifespan， exerting extensive adverse effects on physical and mental health during early development. While ACEs increase the risk of childhood psychopathology， sleep quality and impair cognitive function， the early neurobiological mechanisms mediating ACE-induced cognitive impairment remain unclear. ObjectiveTo explore the association between ACEs exposure and the risk of psychopathology， sleep disorders， and cognitive function， and to examine the mediating role of the putamen volume in the relationship between ACEs and cognitive function from a neurodevelopment perspective. MethodsData were obtained from the Adolescent Brain Cognitive Development （ABCD） study， comprising 10 572 children aged 9 to 10. Participants were categorized into five groups based on the cumulative score of ACEs reported by their parents and the children themselves： no-exposure group （0 types of ACEs）， the one-exposure group， the two-exposure group， the three-exposure group， and the high-risk exposure group （≥ 4 types of ACEs）. Logistic regression analysis was employed to evaluate the association between ACEs and psychopathological symptoms ［T score of the Child Behavior Checklist （CBCL） ≥ 65］. Multiple linear regression analysis was ultilized to analyze the correlations between ACEs and the scores of the Sleep Disturbance Scale for Children （SDSC）， the NIH Toolbox Cognition Battery （NIHTB-CB）， as well as the multiple structures in the cerebral cortex and subcortex. The Bootstrap method was applied to test the mediating effect of the putamen volume between ACEs and neurocognitive function. ResultsAfter adjusting for confounders， ACEs cumulative score was correlated with children's psychopathological symptoms in a dose-response manner. Compared with the no-exposed group， the high-risk exposure group had a 2.08-fold （OR=2.080， 95% CI： 1.401–3.088） increased risk of internalizing problems and a 3.13-fold （OR=3.132， 95% CI： 1.703–5.760） increased risk of externalizing problems， and the risk of conduct problems was 4.68 times that of the no-exposed group （OR=4.681， 95% CI： 2.528–8.669）. ACEs cumulative score positively predicted the total score of SDSC （β=0.080， 95% CI： 0.059–0.102）， with relatively stronger predictive effects on sleep-wake transition disorder （β=0.086， 95% CI： 0.063–0.109） and sleep onset and maintenance disorder （β=0.066， 95% CI： 0.043–0.089）. In terms of neurocognition and brain structure， ACEs cumulative score negatively predicted the overall cognitive composite score （β=-0.025， 95% CI： -0.050–-0.001）， the crystallized cognitive composite score （β=-0.035， 95% CI： -0.060–-0.010）， the volume of the left putamen nucleus （β=-0.025， 95% CI： -0.046– 0.003）， and the volume of the right putamen nucleus （β=-0.023， 95% CI： -0.044– 0.003）. The total putamen volume played a partial mediating role between ACEs and the overall cognitive composite score， the effect value was -0.002 （95% CI： -0.004–-0.001）， accounting for 7.49% of the total effect. ConclusionACEs exposure may increase the risk of psychopathological and sleep disturbances in children and may impair neurocognitive function. Reduced putamen volume may serve a potential neurobiological pathway underlying the impact of ACEs on childhood cognition. ［Funded by National Natural Science Foundation of China-Young Scientists Program （number， 82401763）； Sichuan University West China Hospital Full-time Postdoctoral Research and Development Fund Project （number， 2023HXBH084）］

This study analyzes the global patents development and clinical applications of photon counting CT (PCCT) technology in the past 20 years, including the trends of global patent application, the patent portfolio planning, key innovations and technological evolution of top medical device companies. The study utilizes patent retrievals in incoPat database, and then carries out patent navigation analysis. At the same time, with reports of clinical trials and research, the advantages and prospects of PCCT in clinical diagnosis are sorted out. With the rapid growth of the number of patent applications for PCCT, the technologies and clinical trials are becoming increasingly mature. It is expected that in the next few years, more PCCT products will be launched to the market, bringing a more accurate and safe diagnostic experience to radiologists and patients.
Patents as Topic ; Photons ; Tomography, X-Ray Computed ; Humans

Booster vaccinations are highly recommended in combating the SARS-CoV-2 Omicron variant and its subvariants. However, the optimal booster vaccination strategies and related immune mechanisms with different prior vaccinations are under-revealed. In this study, we systematically evaluated the immune responses in mice and hamsters with different prime-boost regimens before their protective efficacies against Omicron were detected. We found that boosting with Ad5-nCoV, S_WT-2P or S_Omicron-6P induced significantly higher levels of neutralization activities against Omicron variants than CoronaVac and ZF2001 by eliciting stronger germinal center (GC) responses. Specifically, S_Omicron-6P induced even stronger antibody responses against Omicron variants in CoronaVac and Ad5-nCoV-primed animals than non-Omicron-specific vaccines but with limited differences as compared to Ad5-nCoV and S_WT-2P. In addition, boosting with a specific vaccine has the potential to remodel the existing immune profiles. These findings indicated that adenovirus-vectored vaccines and mRNA vaccines would be more effective than other types of vaccines as booster shots in combating Omicron infections. Moreover, the protective efficacies of the vaccines in booster vaccinations are highly related to GC reactions in secondary lymphatic organs. In summary, these findings provide timely important information on prime-boost regimens and future vaccine design.