Aim To explore the effect and mechanism of annexin A1 mimic peptide Ac2-26 on ferroptosis in hu-man umbilical vein endothelial cells(HUVEC).Methods Induction of HUVEC ferroptosis was achieved by the clas-sical ferroptosis agonist RSL3,with subsequent intervention by the annexin A1 mimtic peptide Ac2-26.The cell number and viability were detected by CCK-8 kit,the levels of malondialdehyde(MDA)and glutathione(GSH)were detected by ELISA,the expression of ferroptosis-related molecules and adhesion molecules was detected by Western blot,the lipid re-active oxygen species(ROS)levels were detected by C11-BODIPY fluorescent probe,and the mitochondrial reactive oxy-gen species(mtROS)levels were detected by MitoSOX probe.FeRhoNOX-1 fluorescent probe was used to detect intra-cellular Fe2+content,perspective microscopy was used to observe mitochondrial morphology,JC-1 fluorescent probe was used to detect mitochondrial membrane potential,kit was used to detect ATP levels,the Scratch assay was used to detect cell migration ability,and nitrate reductase assay was used to detect nitric oxide(NO)level.Results Ac2-26 inhibi-ted RSL3-induced decrease in HUVEC viability,up-regulated the expression of suppressor of ferroptosis proteolytic carrier family 7 member 11(SLC7A11),GPX4,and ferritin heavy chain 1(FTH1),increased the GSH content,decreased the MDA content,reduced the generation of intracellular lipid ROS,and decreased the intracellular Fe2+aggregation(P＜0.05 or P＜0.01);Ac2-26 inhibited RSL3-induced damage to HUVEC mitochondrial morphology and function,up-regulated ATP content(P＜0.05)and mitochondrial membrane potential(P＜0.001);Ac2-26 inhibited RSL3-induced decrease in HUVEC migratory ability,up-regulated NO levels,inhibited intercellular adhesion molecule-1(ICAM-1)and interleukin-1β(IL-1β)protein expression(P＜0.05 or P＜0.01).Conclusion Ac2-26 inhibits RSL3-induced ferroptosis in HUVEC and maintains mitochondrial morphology and function,as well as HUVEC function.

OBJECTIVE: To investigate the clinical characteristics and genetic etiology in a fetus with 12q14 microdeletion syndrome. METHODS: A fetus diagnosed with 12q14 microdeletion syndrome at Wenzhou People's Hospital in July 2019 was selected as the study subject. The fetus was from a twin pregnancy by in vitro fertilization-embryo transfer, with ultrasound findings including growth restriction, cleft lip/palate, ventricular septal defect, tricuspid regurgitation, and pericardial effusion. Clinical data and family history were collected. Amniotic fluid sample was collected from both twins, and peripheral blood samples were obtained from their parents. Amniocytic karyotyping analysis and chromosomal microarray analysis (CMA) were performed, and familial validation was conducted. This study was approved by the Medical Ethics Committee of Wenzhou People's Hospital (Ethics No.: KY-202408-034). RESULTS: Prenatal ultrasound showed no significant abnormality in one of the twins, whilst the other twin exhibited severe growth restriction accompanied by cleft lip/palate, ventricular septal defect, tricuspid regurgitation, and pericardial effusion. Karyotyping and CMA analyses of first twin showed no abnormalities, whilst the second twin had a chromosomal karyotype of 46,XN,t(3;12)(q26.3;q14), and CMA revealed a 4.9 Mb deletion in the 12q14.3-q15 region (arr[hg19]12q14.3q15(65,574,059_70,488,106)x1). Karyotyping and CMA analyses of both parents revealed no abnormalities, confirming that the fetus deletion was de novo in origin. Literature review suggested that prenatal diagnosis of 12q14 microdeletion syndrome has been extremely rare. CONCLUSION The fetus was diagnosed with 12q14 microdeletion syndrome. This de novo deletion may have dervied from chromosomal translocation. As a first-tier prenatal diagnostic technique, CMA can effectively detect microdeletion/microduplications missed by conventional karyotyping analysis.
Humans ; Female ; Pregnancy ; Chromosome Deletion ; Chromosomes, Human, Pair 12/genetics* ; Karyotyping ; Adult ; Prenatal Diagnosis ; Chromosome Disorders/diagnosis* ; Ultrasonography, Prenatal ; Fetus ; Male

Objective: To analyze the space time characteristics of poor vision among primary and secondary school students in Chengdu, in order to provide the reference for formulating myopia prevention and control policies for students. Methods: The data relating to poor vision among primary and secondary school students in Chengdu from 2021 to 2023 were sourced from the Sichuan Students Physical Health Big Data Center. The districts and counties of Chengdu were divided into three circles, including the main urban area, suburban districts and counties, and suburban districts and counties. The Chi square test was used for inter group comparison, and the Cochran-Armitage test was used to analyze the trend of changes. Global and local Moran s I were used to analyze spatial clustering. Results: The detection rates of poor vision among primary and secondary school students in Chengdu from 2021 to 2023 were 62.47%, 61.61% and 60.78%, respectively, showing a decreasing trend ( Z=-32.01, P <0.01). For each year, the higher detection rate of poor vision among students was detected in the higher level of education, and differences were statistically significant ( χ 2=161 549.47, 173 471.87, 233 459.09, P <0.01). The rate of poor vision among primary and secondary school students gradually decreased from the central districts and counties of Chengdu to the surrounding districts and counties for each year, and the differences were statistically significant ( χ 2=299.20, 776.22, 633.16, P <0.01). The spatial autocorrelation analysis showed that the first circle of Chengdu City was mainly characterized by high-high agglomeration ( P <0.01), with the rate of poor vision among primary school students in Wuhou District in 2023 exhibiting a low-high anomaly. The third circle was mainly characterized by low-low aggregation ( P <0.01), while the spatial clusterings of the second circle was not significant ( P >0.05). Conclusions The myopia prevention and control work in Chengdu has achieved preliminary results. It should continue to consolidate existing achievements and implement targeted myopia prevention and control measures based on regional characteristics.

Approximately 60% of colorectal cancer (CRC) patients exhibit TP53 mutations, which are strongly associated with tumor progression, chemotherapy resistance, and an unfavorable prognosis. However, targeting p53 has historically been challenging, and currently, there are no approved p53-based therapeutics for clinical use worldwide. In this study, we discovered that ubiquitin carboxyl terminal hydrolase L3 (UCHL3) plays a crucial role in high-level glycolysis, enhanced stem-like properties, and 5-fluorouracil (5-FU) chemoresistance in TP53-mutant CRC by exerting its deubiquitinating enzyme activity to stabilize α-enolase (ENO1) protein. Notably, we identified a newly Food and Drug Administration (FDA)-approved drug, pacritinib, that potently suppresses UCHL3 expression by blocking the janus kinase 2 (JAK2)-signal transducer and activator of transcription 3 (STAT3) pathway in TP53-mutant CRC. Furthermore, Pacritinib was demonstrated to effectively inhibit glycolysis and improve the sensitivity to 5-FU chemotherapy in TP53-mutant CRC. Our findings suggest that targeting the JAK2-STAT3-UCHL3-ENO1 axis is a promising strategy to suppress glycolysis and enhance the efficacy of 5-FU chemotherapy in TP53-mutant CRC. Pacritinib shows potential for clinical application in the treatment of TP53-mutant CRC.

As activated hepatic stellate cells (aHSCs) play a central role in fibrogenesis, they have become key target cells for anti-fibrotic treatment. Nevertheless, the therapeutic efficiency is constrained by the exosomes they secrete, which are linked to energy metabolism and continuously stimulate the activation of neighboring quiescent hepatic stellate cells (qHSCs). Herein, an intercellular communication interference strategy is designed utilizing paeoniflorin (PF) loaded and hyaluronic acid (HA) coated copper-doped ZIF-8 (PF@HA-Cu/ZIF-8, PF@HCZ) to reduce energy-related exosome secretion from aHSCs, thus preserving neighboring qHSCs in a quiescent state. Simultaneously, the released copper and zinc ions disrupt key enzymes involved in glycolysis to reduce bioenergy synthesis in aHSCs, thereby promoting the reversion of aHSCs to a quiescent state and further decreasing exosome secretion. Therefore, PF@HCZ can effectively sustain both aHSCs and qHSCs in a metabolically dormant state to ultimately alleviate liver fibrosis. The study provides an enlightening strategy for interrupting exosome-mediated intercellular communication and remodeling the energy metabolic status of HSCs with boosted antifibrogenic activity.

Early correction of childhood malocclusion is timely managing morphological, structural, and functional abnormalities at different dentomaxillofacial developmental stages. The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion. This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence, aiming to provide general guidance on appropriate imaging examination selection, comprehensive and accurate imaging assessment for early orthodontic treatment patients.
Humans ; Malocclusion/diagnostic imaging* ; Child ; Consensus

An automated identification method for adolescent schizophrenia based on brain electroencephalogram(EEG)entropy features is proposed for further improving the diagnostic accuracy of adolescent schizophrenia.The raw EEG signals are decomposed into 5 commonly used rhythm bands:Delta,Theta,Alpha,Beta,and Gamma.The permutation entropy,fuzzy entropy,and sample entropy are extracted from each rhythm band and then organized into a feature matrix structured by electrode location×frequency band.Finally,an ECA-CNN model integrating efficient channel attention(ECA)and convolutional neural network(CNN)is constructed for feature classification and realizing the automated identification of adolescent schizophrenia.The results demonstrate that the proposed ECA-CNN model has higher recognition accuracy than the traditional machine learning models,achieving an accuracy of 99.08%,a sensitivity of 99.27%,a specificity of 98.85%,a precision of 99.01%,a F1 score of 99.14%,and a Kappa coefficient of 0.9814.This study provides a new idea and method for the diagnosis of adolescent schizophrenia.

Objective In view of the potential threat of adverse drug reaction(ADR)to patients'health and the limitations of traditional monitoring methods,this study investigates the construction method of an ADR knowledge graph based on a knowledge-driven technology path to promote the intelligent upgrading of pharmacovigilance field.Methods In this study,an adverse drug reaction knowledge base was established,and the data within the knowledge base were preprocessed.The BERT-CRF model was utilized to identify and extract the relevant entities,relationships and attribute information,and knowledge alignment was carried out by combining the rule method and statistical method.The knowledge fusion data was stored in the Neo4j graph database to construct the knowledge graph.Results Based on the established knowledge base,this study explored the method of constructing knowledge graph of adverse drug reaction by knowledge-driven technology,laying the groundwork for data mining and the development of intelligent auxiliary system tools based on knowledge graph.Conclusions The study on the construction method of an ADR knowledge graph based on a knowledge-driven technology path provides a new perspective and technical path for the intelligent upgrading of pharmacovigilance field.It holds important theoretical and practical significance for improving drug safety,protecting patients'health,and promoting the healthy development of pharmaceutical industry.

Aim To explore the effect and mechanism of annexin A1 mimic peptide Ac2-26 on ferroptosis in hu-man umbilical vein endothelial cells(HUVEC).Methods Induction of HUVEC ferroptosis was achieved by the clas-sical ferroptosis agonist RSL3,with subsequent intervention by the annexin A1 mimtic peptide Ac2-26.The cell number and viability were detected by CCK-8 kit,the levels of malondialdehyde(MDA)and glutathione(GSH)were detected by ELISA,the expression of ferroptosis-related molecules and adhesion molecules was detected by Western blot,the lipid re-active oxygen species(ROS)levels were detected by C11-BODIPY fluorescent probe,and the mitochondrial reactive oxy-gen species(mtROS)levels were detected by MitoSOX probe.FeRhoNOX-1 fluorescent probe was used to detect intra-cellular Fe2+content,perspective microscopy was used to observe mitochondrial morphology,JC-1 fluorescent probe was used to detect mitochondrial membrane potential,kit was used to detect ATP levels,the Scratch assay was used to detect cell migration ability,and nitrate reductase assay was used to detect nitric oxide(NO)level.Results Ac2-26 inhibi-ted RSL3-induced decrease in HUVEC viability,up-regulated the expression of suppressor of ferroptosis proteolytic carrier family 7 member 11(SLC7A11),GPX4,and ferritin heavy chain 1(FTH1),increased the GSH content,decreased the MDA content,reduced the generation of intracellular lipid ROS,and decreased the intracellular Fe2+aggregation(P＜0.05 or P＜0.01);Ac2-26 inhibited RSL3-induced damage to HUVEC mitochondrial morphology and function,up-regulated ATP content(P＜0.05)and mitochondrial membrane potential(P＜0.001);Ac2-26 inhibited RSL3-induced decrease in HUVEC migratory ability,up-regulated NO levels,inhibited intercellular adhesion molecule-1(ICAM-1)and interleukin-1β(IL-1β)protein expression(P＜0.05 or P＜0.01).Conclusion Ac2-26 inhibits RSL3-induced ferroptosis in HUVEC and maintains mitochondrial morphology and function,as well as HUVEC function.

Objective In view of the potential threat of adverse drug reaction(ADR)to patients'health and the limitations of traditional monitoring methods,this study investigates the construction method of an ADR knowledge graph based on a knowledge-driven technology path to promote the intelligent upgrading of pharmacovigilance field.Methods In this study,an adverse drug reaction knowledge base was established,and the data within the knowledge base were preprocessed.The BERT-CRF model was utilized to identify and extract the relevant entities,relationships and attribute information,and knowledge alignment was carried out by combining the rule method and statistical method.The knowledge fusion data was stored in the Neo4j graph database to construct the knowledge graph.Results Based on the established knowledge base,this study explored the method of constructing knowledge graph of adverse drug reaction by knowledge-driven technology,laying the groundwork for data mining and the development of intelligent auxiliary system tools based on knowledge graph.Conclusions The study on the construction method of an ADR knowledge graph based on a knowledge-driven technology path provides a new perspective and technical path for the intelligent upgrading of pharmacovigilance field.It holds important theoretical and practical significance for improving drug safety,protecting patients'health,and promoting the healthy development of pharmaceutical industry.