There is a substantial unmet need for treatments in the field of pediatric rare diseases, and investigator initiated trial(IIT) provide a critical pathway for testing and developing new drugs or treatment strategies. However, healthcare institutions, when conducting such research, must address compliance risks related to project approval, contract management, data protection, and conflict of interest management. This study aims to analyze the particularities and challenges of IIT in pediatric rare diseases, review relevant regulations and regulatory requirements, and provide healthcare institutions with a reference framework for compliance risk management to maximize the benefits of IIT. Based on literature review, analysis of laws and regulations, practical work experience, and frameworks from other institutions, we summarize the unique aspects of pediatric rare disease IIT in terms of participant characteristics, innovative technologies, and organizational structures.On this basis, targeted compliance management recommendations are proposed, which include establishing a risk rating and full-cycle risk monitoring mechanism, a consent and ethical review mechanism tailored to pediatric participants, a robust contract management mechanism, a comprehensive data security management mechanism, and a multidisciplinary team and multi-channel compensation mechanism. The study concludes that healthcare institutions, funders, and other collaborating entities should implement compliance management in line with the characteristics of IIT to ensure the safety and effectiveness of research and facilitate innovation and development in the treatment of pediatric rare diseases.

ObjectiveTo assess the microstructural involvement of gray matter in recovered COVID-19 patients using Synthetic MRI. MethodsThis study was conducted in 29 recovered COVID-19 patients， including severe group （SG， n=11） and ordinary group （OG， n=18）. Healthy volunteers matched by age， sex， BMI and years of education were selected as a healthy control group （HC=23 cases）. Each subject underwent synthetic MRI to generate quantitative T₁ and T₂ maps， and the T₁ and T₂ maps were segmented into 90 regions of interest （ROIs） using automatic anatomical labeling （AAL） mapping. T₁ and T₂ values for each ROI were obtained by averaging all voxels within the ROIs. The T₁ and T₂ values of the 90 brain regions between the three groups were compared. ResultsRelative to HC， the SG had significantly higher T2 values in bilateral orbital superior frontal gyrus， bilateral parahippocampal gyrus， bilateral putamen， bilateral middle temporal gyrus， bilateral Inferior temporal gyrus， left orbital superior frontal gyrus， left orbital inferior frontal gyrus， left gyrus rectus， left anterior cingulate and paracingulate gyri， right median cingulate and paracingulate gyri， left posterior cingulate gyrus， and left supramarginal gyrus （P＜0.05）； Relative to OG， SG showed significantly increased T₂ values in the left rectus gyrus， left parahippocampal gyrus， bilateral middle temporal gyrus， and bilateral inferior temporal gyrus （P＜0.05）. Relative to HC， the T₁ values of SG were significantly increased in bilateral orbital superior frontal gyrus， left rectus gyrus， left anterior cingulate and paracingulate gyri， right posterior cingulate gyrus， left parahippocampal gyrus， left lingual gyrus， left putamen， left thalamus（P＜0.05）； Relative to OG， the T₁ values of SG were significantly higher in the right posterior cingulate gyrus， right calcarine fissure and surrounding cortex， and left putamen （P＜0.05）. ConclusionsEven after recovering from COVID-19， patients may still have persistent or delayed damage to their brain gray matter structure， which is correlated with the severity of the condition. SyMRI can serve as a sensitive tool to assess the extent of microstructural damage to the central nervous system， aiding in early diagnosis of the disease.

ObjectiveTo investigate the association between estimated glucose disposal rate （eGDR） and the severity of coronary heart disease. MethodsWe conducted a hospital-based cross-sectional study that included 1258 patients （mean age： 62（53-68） years） who underwent coronary angiography for suspected coronary artery disease （53.9% were male）. Insulin resistance level （IR） was calculated according to eGDR formula： eGDR = 21.158 - （0.09 × WC） - （3.407 × hypertension） - （0.551 × HbA1c） ［hypertension （yes = 1 / no = 0）， HbA1c = HbA1c （%）］. Subjects were grouped according to the eGDR quantile. CAD severity was determined by the number of narrowed vessels： no-obstructive CAD group （all coronary stenosis were<50%， n=704）， Single-vessel CAD group （only one involved major coronary artery stenosis≥50%， n=205）， Multi-vessel CAD group （two or more involved major coronary arteries stenosis≥50%， n=349）； Multivariate logistic regression model was used to analyze the association between eGDR and CAD severity. The linear relationship between eGDR and CAD in the whole range of eGDR was analyzed using restricted cubic spline. Subgroup analyses were used to assess the association between eGDR and CAD severity in different diabetic states. Receiver operating characteristic （ROC） curve analysis were used to evaluate the value of eGDR in improving CAD recognition. ResultsA decrease in the eGDR index was significantly associated with an increased risk of CAD severity （OR： 2.79； 95%CI： 1.72~4.55； P<0.001）. In multivariate logistic regression models， individuals with the lowest quantile of eGDR （T1） were 2.79 times more likely to develop multi-vessel CAD than those with the highest quantile of eGDR （T3） （OR： 2.79； 95%CI： 1.72~4.55； P<0.001）. Multivariate restricted cubic spline analysis showed that eGDR was negatively associated with CAD and multi-vessel CAD （P-nonlinear>0.05）. In non-diabetic patients， compared with the reference group （T3）， the T1 group had a significantly increased risk of CAD （OR： 1.42； 95% CI： 1.00~2.01； P<0.05） and multi-vessel CAD （OR： 1.86； 95%CI： 1.21~2.86； P<0.05）. No statistical association was found between eGDR and CAD in diabetic patients. In ROC curve analysis， when eGDR was added to traditional model for CAD， significant improvements were observed in the model's recognition of CAD and multi-vessel CAD. ConclusionOur study shows eGDR levels are inversely associated with CAD and CAD severity. eGDR， as a non-insulin measure to assess IR， could be a valuable indicator of CAD severity for population.

Objective To investigate and evaluate the safety and efficacy of the aortic-mitral annular enlargement technique (double annular enlargement) in patients with small-size valve prostheses after prior valve surgery. Methods The clinical data of patients who underwent double valve annular enlargement in Wuhan Asia Heart Hospital from April 2020 to April 2022 were retrospectively analyzed. Results A total of 30 patients were collected, including 2 males and 28 females aged 9-78 (52.71±3.53) years. All patients had previous heart valve surgery, including 1 patient receiving the third heart surgery. All patients were operated on successfully and there were no postoperative in-hospital deaths. There was no postoperative bleeding which needed a secondary open-chest hemostasis, and one patient underwent permanent pacemaker implantation due to postoperative sick sinus syndrome. The mean diameter of the implanted prosthetic aortic valve was 24.23±1.60 mm, which was significantly larger than that of the preoperative aortic valve (21.03±1.90 mm, P＜0.001). The mean diameter of the implanted prosthetic mitral valve was 28.33±1.21 mm, which was significantly larger than that of the preoperative mitral valve (25.43±0.84 mm, P＜0.001). The mean peak gradient difference across the prosthetic aortic valve on postoperative echocardiography was 18.17±6.44 mm Hg, which was significantly lower than that of the preoperative aortic valve (82.57±24.48 mm Hg, P＜0.001). The mean peak gradient difference of the postoperative prosthetic mitral valve was 12.73±5.45 mm Hg, which was significantly lower than that of the preoperative mitral valve (19.43±8.97 mm Hg, P=0.003). Conclusion The double annular enlargement technique is safe and effective for reoperation in patients with a history of valve surgery with a small aortic root to obtain both a larger size prosthetic valve for a larger orifice area and stability of the mitral-aortic valve union, resulting in good postoperative hemodynamic characteristics and clinical outcomes.

Fragile X syndrome（FXS）is one of the most common single-gene disorders that cause intellectual disability and autism spectrum disorders. It is characterized by a complex phenotype and clinical heterogeneity，which poses challenges for early diagnosis. The number of potential FXS patients is large，and many of them face the dilemma of under-diagnosis or even misdiagnosis. This paper provides an overview of current screening and early identification methods and models for FXS，encompassing population-based screening approaches as well as individual clinical phenotype-based identification strategies. These finding 's offer valuable support for clinical practice，mass screening and disease management. Furthermore，advancements in genetic engineering and artificial intelligence technology hold promise to revolutionize FXS screening and early identification.

Objective To investigate and evaluate the safety and effectiveness of the Chimney technique in mitral valve reoperation. Methods The clinical data of mitral valve reoperation patients who underwent Chimney surgery in Wuhan Asia Heart Hospital from 2019 to 2021 were retrospectively analyzed. Results A total of 26 patients were collected, including 7 males and 19 females, aged 27-67 (53.46±11.18) years. All patients had previous mitral valve surgery, including 23 mitral valve replacements and 3 mitral valve repairs. All patients received Chimney technique using the ideal artificial sized mitral valve, and 1 patient died of neurological complications in hospital. The cardiopulmonary bypass time and the aortic cross-clamping time were 231.11±77.05 min and 148.50±52.70 min, respectively. The mean diameter of the implanted mitral valve prosthesis was 29.08±0.68 mm, which was statistically different from pre-replacement valve prosthesis size of 26.69±0.77 mm (P＜0.001). The mean transvalvular pressure gradient of the prosthetic mitral valve measured on postoperative echocardiography was 14.77±5.34 mm Hg, which was statistically different from preoperative value of 20.92±9.83 mm Hg (P=0.005). Conclusion The Chimney technique is safe and effective for reoperation in patients with small mitral annuli, which can not only reduce the risk of reoperation, but also obtain larger prosthetic valve implants with good hemodynamic characteristics and clinical outcomes.

The United States has established a perfect specialist training system for developmental and behavioral pediatrics (DBP), while the DBP specialist training system in China is still in the early stage of development and has been constantly improved. This article analyzes and compares the current status of DBP specialist training system between the United States and China from the aspects of training pattern, eligibility criteria, training plans and contents, assessment and evaluation, and certification. With reference to the training system in the United States, we can further improve the DBP specialist training system in China by perfecting the training system and related documents, constructing reasonable eligibility criteria, establishing a training pattern guided by post competency, improving the DBP assessment and evaluation system based on competency, and enhancing the certification of DBP physicians.

Currently,electroencephalogram(EEG),functional near-infrared spectroscopy(fNIRS),and functional magnetic resonance imaging have been widely studied and applied to neuropsychiatric disorders.In recent years,the devices which can realize the simultaneous acquisition of EEG and fNIRS has been developed and gradually applied in the studies on neuropsychiatric disorders.The review provides an introduction of the techniques of synchronized detection and data analysis for EEG-fNIRS,summarizes the analysis methods and new findings of the recent studies of stroke,epilepsy,and other neuropsychiatric disorders using EEG-fNIRS,and also discusses the future research directions.

Objective To observe the functional recovery situation after prostate cancer radical opera-tion with maximal preservation of the periprostatic structures (MS-RARP).Methods Sixty-seven patients with localized prostatic cancer undergoing MS-RARP in the Second Affiliated Hospital of Army Military Med-ical University from June 2019 to June 2022 were selected as the study subjects.The changes of urinary con-trol function,erection function,quality of life and total prostate specific antigen (t-PSA) were compared at the time between before operation and postoperative 6 weeks,3 months,6 months,12 months.The expanded pros-tate cancer index composite index (EPIC-50) was used to evaluate the urinary control function,the interna-tional index of erectile function (IIEF-5) questionnaire was used to evaluate the erection function of the pa-tients,and EPIC-50 and the american urological associated symptom score rating scale (AUA-SS) were used to evaluate the life satisfaction of the patients.Results The urinary control function recovery rate,erection function recovery rate and life quality satisfaction rate in postoperative 6 weeks,3 months,6 months,12 months were 71.8％,95.5％,97.3％ and 98.1％;31.7％,38.1％,41.3％ and 44.4％;38.9％,83.6％,88.1％ and 97.0％,respectively.The median t-PSA was gradually decreased,which were 0.026(0.010,0.410),0.009 (0.003,0.060),0.006(0.001,0.050)and 0.004(0.001,0.006)ng/mL,respectively.The life quality satisfac-tion rates at various postoperative time points were significantly increased when compared with before opera-tion (P<0.05).t-PSA was significantly decreased compared with before operation (P<0.05).Conclusion RARP could protect the postoperative urinary function and sexual function,and increase the postoperative life quality of the patients.

Background and objective Lung cancer is a leading cause of cancer-related deaths.Non-small cell lung cancer(NSCLC)is the most common pathological subtype,with adenocarcinoma being the predominant type.FAT atypical cadherin 1(FAT1)is a receptor-like protein with a high frequency of mutations in lung adenocarcinoma.The protein encoded by FAT1 plays a crucial role in processes such as cell adhesion,proliferation,and differentiation.This study aims to investigate the expression of FAT1 in lung adenocarcinoma and its relationship with immune infiltration.Methods Gene expression levels and relevant clinical information of 513 lung adenocarcinoma samples and 397 adjacent lung samples were obtained through The Cancer Genome Atlas(TCGA)and Genotype-Tissue Expression(GTEx)data.The mRNA expression levels of the FAT1 gene in lung adenocarcinoma tissues were analyzed,along with its association with the prognosis of lung adenocarcinoma patients.Pathway enrichment analysis was conducted to explore the signaling pathways regulated by the FAT1 gene.Immu-noblotting was used to detect the differential expression of FAT1 in lung epithelial cells and various lung cancer cell lines,while immunohistochemistry was employed to assess FAT1 expression in lung cancer and adjacent tissues.Results FAT1 gene muta-tions were identified in 14%of lung adenocarcinoma patients.TCGA database data revealed significantly higher FAT1 mRNA expression in lung adenocarcinoma tissues compared to adjacent lung tissues.Kaplan-Meier analysis indicated lower survival rates in lung adenocarcinoma patients with higher FAT gene expression.Pathway enrichment analysis suggested the involve-ment of FAT1 in tumor development pathways,and its expression was closely associated with immune cell infiltration.Immu-nohistochemical validation demonstrated significantly higher expression of FAT1 in cancer tissues compared to adjacent lung tissues.Conclusion FAT1 mRNA is highly expressed in lung adenocarcinoma tissues,and elevated FAT1 mRNA expression is associated with poor prognosis in lung adenocarcinoma patients.FAT1 may serve as a potential biomarker for lung cancer.