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.

Simultaneous management of intestinal mucosal barrier dysfunction and gut microbiota dysregulation represents a significant challenge in the treatment of inflammatory bowel disease (IBD). Herein, we report a novel system that integrates multi-enzyme mimicking cerium single-atom nanocatalysts (CeSACs) with Lactobacillus reuteri probiotics (LR@CeSACs) for multipronged management of IBD. In this system, CeSACs demonstrate robust multi-enzyme activities across a broad pH range, effectively scavenging elevated reactive oxygen species, downregulating pro-inflammatory cytokines, and suppressing the expression of fibrosis-related genes. Moreover, probiotics promote the targeting and retention of the CeSACs for sustained catalytic antioxidant therapy. In turn, the inflammation relief enabled by CeSACs promotes bacterial viability, allowing for the rapid reshaping of intestinal barrier function and the restoration of gut microbiota. Therefore, LR@CeSACs exhibit excellent catalytic anti-inflammatory and anti-fibrotic therapeutic effects, as well as a certain prophylactic effect, as demonstrated in several murine models.

Objective To investigate the influencing factors for low anterior resection syndrome(LARS)at one year after ileostomy reversal in patients who have undergone radical resection for rectal cancer,and to inform clinical interventions.Methods A retrospective cohort study was conducted on 312 patients who successfully underwent ileostomy reversal after radical resection for rectal cancer between January 2023 and January 2024 at 3 tertiary hospitals in Chongqing.Based on LARS scores at 1-year after stoma reversal,they were divided into a LARS group(score≥21)and a non-LARS group(score≤20).Clinical data were collected from the medical record system,including age,body mass index(BMI),sex,tumor size,tumor distance from the anal verge,T stage,N stage,date of low anterior resection,neoadjuvant therapy,postoperative chemotherapy,anastomotic leakage,and date of ileostomy reversal.Univariate analysis was used to screen potential influencing factors,and variables with P<0.2 were included in a multivariate logistic regression model.Binary stepwise regression analysis was applied to further analyze significant influencing factors for LARS at 1 year after ileostomy reversal.Results In the cohort,there were 127 patients assigned into the LARS group and 185 into the non-LARS group.The incidence of LARS at 1 year after ileostomy reversal was 40.70%,with mild cases accounting for 21.79%and severe ones for 18.91%,and a mean LARS score of 14.52±11.64.Multivariate logistic regression analysis showed that neoadjuvant therapy(yes vs no:OR=1.830,95%CI:1.088～3.089;P=0.023),tumor distance from anal verge≤5 cm(vs>5 cm:OR=2.044,95%CI:1.249～3.374;P=0.005),occurrence of anastomotic leakage(yes vs no:OR=7.470,95%CI:2.247～34.102;P=0.003),time to reversal(≥181 d vs 91～180 d:OR=2.297,95%CI:1.363～3.917;P=0.002),and N stage(N1～N2 vs N0:OR=1.650,95%CI:1.009～2.717;P=0.047)were significant influencing factors for LARS at 1 year after ileostomy reversal.Conclusion Our results suggest that anastomotic leakage,time to reversal≥181 d,tumor distance from anal verge≤5 cm,neoadjuvant therapy,and N stage N1～N2 are associated with the occurrence of LARS at 1 year after ileostomy reversal in patients following radical resection of rectal cancer.Clinical healthcare providers should implement early intervention and long-term follow-up for patients with high-risk factors both before and after stoma reversal.

Objective To develop a machine learning(ML)-based prediction model for assessing the therapeutic effects of resveratrol(RES)on the pathological damage of acute pancreatitis(AP),and to optimize RES administration strategies for AP through validation using an animal model.Methods AAn ML-based prediction model was constructed using published data.Interpretability analysis was applied to identify high-efficacy zones within the parameter space of administration dose and frequency,which was followed by rigorous screening to select the optimal dosing strategy that balanced therapeutic efficacy and experimental feasibility.A total of 32 C57BL/6 mice were randomly assigned to 4 groups(n=8 per group),including a control group(Ctrl),an AP model group induced by caerulein(CER)and referred to as CER-AP,a treatment group receiving RES via intraperitoneal injection(RES i.p.),and a treatment group receiving RES via intragastric gavage(RES i.g.).The Ctrl group received intraperitoneal injection of normal saline.The CER-AP and the treatment groups were induced with 10 intraperitoneal injections of CER at 50 μg/kg.RES was administered to the RES i.p.and RES i.g.groups according to the optimal dose and timing predicted by the ML model.Blood and tissue samples were collected 12 hours after the experiment started.Results The gradient boosting decision tree model,optimized via Hyperopt,yielded the best performance,predicting that the optimal dose and administration frequency were 19.992 mg/kg and 3.828 times,respectively.Accordingly,a regimen of 20 mg/kg RES,administered four times,was used in the animal experiments.Compared with the Ctrl group,the CER-AP group exhibited higher pancreatic pathology scores and elevated levels of serum amylase,lipase,pancreatic myeloperoxidase,and trypsin,with all differences reaching statistical significance(all P<0.05).The administration of 20 mg/kg RES via both intraperitoneal injection and intragastric gavage mitigated pancreatic inflammatory cell infiltration and necrosis,improved the overall pathology score,and reduced serum amylase,lipase,and pancreatic myeloperoxidase levels to varying degrees(all P<0.05).Conclusion A regimen of 20 mg/kg RES administered four times effectively alleviates the severity of CER-induced AP.The therapeutic benefits appear to arise from a multi-target regulatory network that simultaneously suppresses inflammatory cascades,mitigates oxidative stress,and reduces apoptosis,thereby reducing pancreatic tissue damage and systemic inflammatory responses.

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.

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.

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.

Promoting wound healing is a common clinical challenge faced by surgeons, with a variety of repair method and materials currently available for clinical use. In recent years, with the continuous development of disciplines such as tissue engineering, regenerative medicine, and materials science, research on wound repair materials has progressed rapidly. This article will organize the classification, advantages and disadvantages, and the latest advancements in the preparation processes of wound repair materials. It will also discuss the current challenges faced by wound repair materials and future research directions, with the aim of providing a reference for related studies in wound repair.

This study aims to promote the system construction of public health talent through understanding the status and identifying problems of public health human resources in Weihai City. A survey on professional public health institutions was conducted through questionnaires and interviews in Weihai City, and statistical analysis on the personnel structure, introduction, and turnover of professional public health institutions was conducted. There were 24 professional public health institutions in Weihai City, with a vacancy rate of 44.27% (1 367/3 088). Health professionals accounted for 68.09% (1 669/2 451) of the on-duty personnel. The number of health technicians in professional public health institutions in the city was 0.57 per thousand people. Among the 1 669 health professionals, the age groups≤35, 36-45, 46-54, and ≥55 accounted for 47.63% (795/1 669), 30.26% (505/1 669), 18.10% (302/1 669), and 4.01% (67/1 669), respectively. The personnel with bachelor′s degrees and master′s degrees accounted for 74.60% (1 245/1 669) and 8.09% (135/1 669). The personnel holding clinical medical, nursing, laboratory, and public health qualifications accounted for 61.34% (995/1 622), 28.30% (459/1 622) and 10.36% (168/1 622), respectively. Only 17.73% (296/1 669) of personnel held deputy senior or above technical titles, while 45.96% (767/1 669) held junior or below technical titles. About 70.10% (1 170/1 669) personnel held permanent positions, and 29.90% (499/1 669) held non-permanent positions. From 2021 to 2023, the employment rate of public health institutions was 65.51% (207/316), and the ratio of introduced and lost personnel was approximately 3∶2 (207/132).