Circadian rhythm(CR)is an intrinsic biological clock mechanism within organisms that regulates physiological and biochemical processes, enabling synchronization with periodic fluctuations in the external environment. This rhythmicity not only influences the sleep-wake cycle but also encompasses various physiological functions, including metabolism, hormone secretion, cell proliferation, and immune responses. Age-related macular degeneration(ARMD), a prevalent retinal disease, has been significantly associated with disruptions in CR. ARMD is among the leading causes of vision loss in the elderly, with a complex pathogenesis involving multiple factors such as genetics, environmental influences, and lifestyle choices. This article will focus on the molecular mechanisms linking CR and ARMD, analyzing how disruptions in CR affect the physiological state and metabolic processes of retinal cells, ultimately contributing to the onset and progression of ARMD. Additionally, this article will elucidate the interactions effects of CR on ARMD in relation to oxidative stress, regulation of Aβ, inflammatory pathways, and mitochondrial homeostasis. By deepening our understanding of the relationship between CR and ARMD, we aim to provide new insights and directions for future clinical interventions and treatments.

Objective:To explore the construction requirements and solutions for a digital full-process management platform for Investigator-Initiated Trials (IIT) in pediatrics in China.Methods:By reviewing literature, the current status and highlights of pediatric IIT digital management systems in Europe and the United States were analyzed. The challenges faced in building a digital full-process management platform for pediatric IIT in China were summarized. The exploration and implementation achievements of our hospital in platform construction were introduced, and future construction priorities were proposed based on practical considerations.Results:The construction and application of digital full-process management platforms for pediatric IIT in Europe and the United States were relatively mature, providing comprehensive digital support for pediatric IIT research, ranging from project management to research design implementation, multi-center data interoperability, and personnel training. In China, the pediatric IIT digital management platform was still under construction, with main challenges including the formulation of construction plans based on hospital-specific conditions, data standardization, and remote recruitment and follow-up platforms.Conclusions:Considering the current status of pediatric IIT digital full-process management systems both domestically and internationally, efforts should be made to further strengthen data standardization, remote subject management, and digital pediatric IIT training from both policy and technical perspectives. This will provide one-stop services and management for projects and researchers, promoting the development of pediatric medical research.

Background Air pollution remains a critical public health issue, with persistent exposure to air pollutants continuing to pose significant health risks. Currently, research investigating the association between air pollution and myocardial infarction mortality in Shenzhen remains inadequate. Objective To quantitatively assess the association between air pollutants and myocardial infarction mortality in residents. Methods Based on the mortality surveillance system of Shenzhen Center for Disease Control and Prevention, we conducted a time-stratified case-crossover study of 10089 permanent residents who died from myocardial infarction in Shenzhen between 2013 and 2022. Using residential address information, we obtained individual-level exposure data for air pollutants from the China High Air Pollutants dataset and meteorological factors from the China Meteorological Administration Land Data Assimilation System. A time-stratified case-crossover study design was employed to construct a conditional logistic regression model to assess the association between short-term exposure to air pollutants and myocardial infarction mortality. The exposure-response relationship was visualized, and a comprehensive health risk assessment was performed. Results This study included a total of 10 089 cases of myocardial infarction deaths in Shenzhen. The median [interquartile range (IQR)] concentrations of fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbon monoxide (CO), and ozone (O₃) in Shenzhen from 2013 to 2022 were 24.59 (20.19) μg·m⁻³, 42.85 (28.42) μg·m⁻³, 8.53 (3.39) μg·m⁻³, 29.47 (13.56) μg·m⁻³, 0.77 (0.27) mg·m⁻³, and 86.53 (51.39) μg·m⁻³, respectively. The moving average concentrations of PM_2.5 and PM₁₀ over the current day and the previous 2 days (lag02) showed the highest risk of myocardial infarction mortality, with an odds ratio (OR) and 95% confidence interval (95%CI) of 1.004 (1.001, 1.007) and 1.004 (1.002, 1.006), respectively. At lag05, SO₂ demonstrated the strongest association with the risk of myocardial infarction mortality, with an OR (95%CI) of 1.042 (1.019, 1.065). The exposure-response relationships of PM_2.5, PM₁₀, and SO₂ with myocardial infarction mortality were approximately linear, whereas NO₂ exhibited a nonlinear relationship. At lag05, the highest risk of myocardial infarction mortality associated with NO₂ exposure was observed when the NO₂ concentration was ≤21.92 μg·m⁻³, with an OR (95% CI) of 1.024 (1.003, 1.046). The health risk assessment indicated that, using the WHO Air Quality Guidelines as the reference, the local PM_2.5 and NO₂ exposure led to an excess mortality of 398 and 298 cases, respectively. The sensitivity analysis revealed that after adjusting for O₃ and restricting the study period to 2013—2019, the effect estimates for PM_2.5, PM₁₀, NO₂, and SO₂ on myocardial infarction mortality slightly increased. Conclusion Short-term exposure to air pollutants, including PM_2.5, PM₁₀, NO₂, and SO₂, could increase the risk of myocardial infarction mortality. This study provides important scientific evidence for environmental health risk assessment and environmental management in Shenzhen.

In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.

In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.

Objective:To explore the construction requirements and solutions for a digital full-process management platform for Investigator-Initiated Trials (IIT) in pediatrics in China.Methods:By reviewing literature, the current status and highlights of pediatric IIT digital management systems in Europe and the United States were analyzed. The challenges faced in building a digital full-process management platform for pediatric IIT in China were summarized. The exploration and implementation achievements of our hospital in platform construction were introduced, and future construction priorities were proposed based on practical considerations.Results:The construction and application of digital full-process management platforms for pediatric IIT in Europe and the United States were relatively mature, providing comprehensive digital support for pediatric IIT research, ranging from project management to research design implementation, multi-center data interoperability, and personnel training. In China, the pediatric IIT digital management platform was still under construction, with main challenges including the formulation of construction plans based on hospital-specific conditions, data standardization, and remote recruitment and follow-up platforms.Conclusions:Considering the current status of pediatric IIT digital full-process management systems both domestically and internationally, efforts should be made to further strengthen data standardization, remote subject management, and digital pediatric IIT training from both policy and technical perspectives. This will provide one-stop services and management for projects and researchers, promoting the development of pediatric medical research.

Objective:To standardize the management of pediatric Investigator-Initiated Trails (IIT) and improve the execution quality, this study takes a tertiary hospital for children in Shanghai as an example to analyze and summarize the main quality problems in the implementation of pediatric IIT projects and provide appropriate suggestions.Methods:From 2020 to 2022, based on the quality indicators of the IIT project of Shanghai Jiao Tong University School of Medicine, and combined with the characteristics of pediatrics, a centralized monitoring method was used to conduct spot checks and evaluations on the IIT project of a tertiary hospital for children in Shanghai.Results:From 2020 to 2022, a total of 77 IIT projects were inspected, including 27 in the initiation stage, 36 in the execution stage, and 14 in the conclusion stage. In terms of ethical compliance, there are issues with researchers′ weak ethical awareness and non-standard signing of informed consent in the pediatric IIT project. The main problems in terms of execution quality and science include non-standard CRF table design, insufficient awareness of safety management, lack of emphasis on research registration and specialized data management, randomization and blind methods. There are issues with low enrollment rate and low funding execution rate in terms of execution progress.Conclusions:There are certain quality problems during the execution of pediatric IIT projects. Strengthen the establishment of an effective process management and supervision system to improve the quality management of pediatric IIT research processes is needed.

Objective:To explore the critical issues in the construction of management and supporting system of Investigator-Initiated trials (IIT) in pediatrics.Methods:Through summarizing related literature and considering the current status of pediatric clinical research, the critical issues in the construction of management and support system, for instance, the responsibility, training model, and performance evaluation in Europe and U. S. were evaluated, decision-making suggestions were put forward based on domestic pediatric IIT management system.Results:Besides IIT, clinical trials on children′s drugs are also supported by the pediatric clinical research management system in Europe and U. S.. The supporting service covers research consultation, ethical review, research design, trial implementation, patient education, risk control, and investigator training. The organizational structure and management system are relatively mature. Clinical trials are the majority of clinical research in children′s hospitals in China. Main issues identified in the construction of the management and supporting system include ethical review for pediatric clinical research, professional investigator training, multicenter cooperation scheme, performance assessment, and incentive strategies.Conclusions:Taking account into the current status of pediatric IIT in China, it is urgent to accelerate the training of pediatric investigators, set up standard IIT project management team, build the professional project management platform and Electronic Data Capture System, and promote the transformation of research outcomes. Finally, the whole process management of pediatric IIT will be developed to facilitate the development of pediatric medicine.

Objective To apply MINI-VIDAS automated multiparametric analyzer to auxiliary diagnosis of the serviceman in order to evaluate its clinical value.Methods Totally 1 528 servicemen complaining of acute chest pain were divided into group A and group B equally; the ones in group A went through conventional examination, and the ones in group B underwent conventional examination combined with instant examination with MINI-VIDAS automated multiparametric analyzer. The differences between the two groups were compared for the interval from hospitalization to definite diagnosis, diagnosis correctness, hospitalization rate, length of stay, recovery rate, improvement rate and etc, and then statistical analysis was carried out.Results The two groups had significant differences in the interval from hospitalization to definite diagnosis and diagnosis correctness (P<0.05), while no statistical differences in hospitalization time, recovery rate and improvement rate (P>0.05).Conclusion MINI-VIDAS automated multiparametric analyzer can be used for the instant examination of cardiac marker to improve the diagnosis of the acute chest pain, and thus can be popularized in military hospital.