BackgroundThe issue of school absenteeism due to school refusal in adolescents has become increasingly prominent. Acceptance and Commitment Therapy （ACT） has been applied successfully to improve depression， anxiety， and psychological flexibility in adolescents， while few studies have tested the effect of ACT intervention on above-mentioned psychological aspects and return-to-school rate in adolescents with school absenteeism. ObjectiveTo explore the effect of ACT on depression， anxiety， psychological flexibility and return-to-school rate in school absenteeism adolescents， and to provide a broader evidence base for clinical interventions. MethodsFrom May to June 2024， a sample of 50 adolescents with Shenzhen school registration who had been suspended from school for more than a consecutive month for school refusal were recruited based on Wechat official account platform. The adolescents were divided into study group and control group by random number table method. Both groups received psychological education with the theme of 'Causes and Coping Strategies of School Refusal'， and study group added a 6-week ACT intervention with weekly 1-hour sessions. At baseline and after treatment， Patients’ Health Questionnaire Depression Scale-9 item （PHQ-9）， Generalized Anxiety Disorder Scale-7 item （GAD-7） and Comprehensive assessment of Acceptance and Commitment Therapy processes （CompACT） were used for the clinical evaluation. ResultsA total of 45 （90.00%）adolescents completed the study， including 25 in study group and 20 in control group. Analysis revealed that study group scored higher on PHQ-9 and GAD-7， while lower on total CompACT score， openness dimension and awareness dimension compared with control group， with statistical significance （F=7.786， 10.334， 12.922， 14.374， 3.075， P<0.05 or 0.01）. After intervention， the rate of return-to-school was higher in study group than in control group （40.00% vs 10.00%， χ²=5.114， P<0.05）. ConclusionACT intervention for adolescents with school absenteeism may alleviate depression and anxiety， improve their psychological flexibility and increase return-to-school rate.［Funded by the "14^th Five Year Plan" for Social Sciences Project in Jiangxi Province （number， 24JY41D）； Science and Technology Planning Project of Shenzhen Municipality （number， 20210617155253001）］

Objective To explore the feasibility of applying artificial intelligence (AI) technology in chromosomal aberration (CA) analysis for occupational health surveillance of radiation workers and in biological dose estimation during nuclear emergency responses. Methods Peripheral blood samples from healthy volunteers were irradiated in vitro with X-rays and cobalt-60 (⁶⁰Co) γ rays. Chromosome slides were prepared using an automated harvesting and dropping device. The data training and outcome evaluation of CA analysis was performed on the AI software using chromosome images from occupational medical examination of radiation workers from the current lab or chromosome slides from blood samples irradiated with X-rays. The trained AI software was then used to assist in CA analysis and biological dose estimation among occupational medical examination of radiation workers, with results compared with manual reading and actual exposure doses. Results The trained AI software achieved a CA recognition accuracy of 95.11%. In the occupational health examination of radiation workers, the positive CA detection rate using AI + manual review was 2.25% higher than that in manual reviewing alone. The errors in biological dose estimation for ⁶⁰Co γ rays and X-rays using AI + manual review analysis were 11.86% and 7.33%, respectively, both within the acceptable 20.00% error margin. Conclusion AI + manual review can be effectively applied in CA analysis for occupational health examination and biological dose estimation during nuclear emergencies, significantly improving analysis efficiency.

Healthy dental pulp is essential for preserving teeth and maintaining their normal function. Vital pulp therapy (VPT) is widely used in clinical applications because it aims to preserve vital pulp and enhance the long-term survival of teeth. An accurate diagnosis of pulp vitality is a prerequisite for successful VPT. However, accurately assessing pulp viability remains challenging in clinical practice. Pulp viability is influenced by various factors, including the type of pulp exposure, caries status, periodontitis, trauma, treatment factors, patient age, and individual differences. Assessing pulp viability requires a comprehensive consideration of medical history and clinical manifestations, along with a combination of various auxiliary methods, such as pulp sensibility tests, pulp blood flow tests, imaging techniques and molecular diagnostics. In the future, the technology for assessing pulp vitality should evolve toward chairside, visualization, and precision techniques, to achieve consistency between clinical and histological diagnoses, thereby providing patients with the most effective treatment.

During the operation of warm needling, the needle may be tilted and bent to a large degree, which will cause high temperature of moxibustion on the skin surface around, and even burns in patients. To solve this problem, the team developed a balance fixator for acupuncture needle that can be used at acupoints in various parts of the body, such as on the abdomen, waist, limbs and face. The device is composed of 3 parts, including three (or more)-bifurcated sleeve, cushion pad, and circular fixed base-plate, forming an integrated structure. The three (or more)-bifurcated sleeve increases the contact area with the filiform needle body, which can quickly and easily reduce the curvature of the needle body and fix the filiform needle. According to the different locations of acupoints in clinical practice, the cushion pad is designed as three types, i.e. rectangle, large circle, and small circle. It can not only balance needle body, but also prevent skin burns to a certain extent. This device is simple to manufacture, lightweight in material, and environmental friendly; and is applicable to a simple and safe operation in clinical practice.
Humans ; Acupuncture Therapy/methods* ; Acupuncture Points ; Needles ; Equipment Design

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder worldwide, causing dementia and affecting millions of individuals. One prominent characteristic in the brains of AD patients is glucose hypometabolism. In the context of galactose metabolism, intracellular glucose levels are heightened. Galactose mutarotase (GALM) plays a crucial role in maintaining normal galactose metabolism by catalyzing the conversion of β-D-galactose into α-D-galactose (α-D-G). The latter is then converted into glucose-6-phosphate, improving glucose metabolism levels. However, the involvement of GALM in AD progression is still unclear. In the present study, we found that the expression of GALM was significantly increased in AD patients and model mice. Genetic knockdown of GALM using adeno-associated virus did not change the expression of amyloid precursor protein (APP) and APP-cleaving enzymes including a disintegrin and metalloprotease 10 (ADAM10), β-site APP-cleaving enzyme 1 (BACE1), and presenilin-1 (PS1). Interestingly, genetic overexpression of GALM reduced APP and Aβ deposition by increasing the maturation of ADAM10, although it did not alter the expression of BACE1 and PS1. Further electrophysiological and behavioral experiments showed that GALM overexpression significantly ameliorated the deficits in hippocampal CA1 long-term potentiation (LTP) and spatial learning and memory in AD model mice. Importantly, direct α-D-G (20 mg/kg, i.p.) also inhibited Aβ deposition by increasing the maturation of ADAM10, thereby improving hippocampal CA1 LTP and spatial learning and memory in AD model mice. Taken together, our results indicate that GALM shifts APP processing towards α-cleavage, preventing Aβ generation by increasing the level of mature ADAM10. These findings indicate that GALM may be a potential therapeutic target for AD, and α-D-G has the potential to be used as a dietary supplement for the prevention and treatment of AD.
Animals ; ADAM10 Protein/metabolism* ; Alzheimer Disease/pathology* ; Amyloid Precursor Protein Secretases/metabolism* ; Disease Models, Animal ; Humans ; Mice ; Amyloid beta-Peptides/metabolism* ; Male ; Mice, Transgenic ; Membrane Proteins/metabolism* ; Cognitive Dysfunction/pathology* ; Mice, Inbred C57BL ; Amyloid beta-Protein Precursor/metabolism* ; Female ; Hippocampus/metabolism* ; Long-Term Potentiation/physiology*

The gut microbiota is a vast microbial ecosystem,specifically present in the organism and plays an important regulatory role in the body's health or disease state together with its metabolites.After spinal cord injury,the complex pathophysiology at the site of trauma makes axonal regeneration difficult,and the autonomic motor dysfunction induced by spinal cord injury disrupts gastrointestinal function and causes gut microbiota imbalance.The previous clinical outcomes of neurorepair strategies after spinal cord injury have not been ideal.The dysregulated gut microbiota and neuroinflammation after spinal cord injury are closely associated with the prognosis of the patients.The potential mechanisms by which the gut microbiota may influence the neuroinflammation after spinal cord injury may include the activation of gut-associated lymphoid tissue and disruption of the intestinal barrier by the imbalanced microbiota,and gut microbiota and its metabolites such as lipopolysaccharides(LPS),short chain fatty acids(SCFAs),5-hydroxytryptamine(5-HT),and tryptophan,as well as immune cells,inflammatory factors,and neurotransmitters the local inflammatory response in the spinal cord through the circulatory system.This paper revews the studies on the changes in gut microbiota after spinal cord injury and their effects on the spinal cord neuroinflammation,providing new targets and new ideas for improving the neuroinflammation after spinal cord injury.

Objective To establish an artificial intelligence(AI)diagnostic model for the histopathologic diagnosis of extramammary Paget's disease(EMPD)and to evaluate its efficiency for the diagnosis and differential diagnosis of EMPD.Methods All non-tumor skin disease patients who underwent skin tissue biopsy in Department of Dermatology of First Affiliated Hospital of Army Medical University from September 2003 to February 2023 were recruited,and their pathological data were collected,including EMPD,Bowen's disease(BD),squamous cell carcinoma(SCC),and epidermal hyperplasia and hypertrophy.With EMPD as the main research subject,the histopathological images of BD,SCC,and non-tumor skin diseases were included in the study.The histopathological data of 4 types of diseases was classified and diagnosed by ResNet101 and DenseNet121 deep learning neural networks,and the performance of these models was evaluated.Results The AUC values of the ResNet101 diagnostic model for the diagnosis of EMPD,BD,SCC and non-tumor skin diseases on the images at x20 magnification were 0.97,0.98,1.00 and 0.96,respectively,with an accuracy of 0.925±0.011,while the AUC values on the images at x40 magnification were 1.00,0.99,1.00 and 0.97,respectively,with an accuracy of 0.943±0.017.The AUC values of the DenseNet121 diagnostic model for the diagnosis of 4 diseases on the images at x20 magnification were 0.98,0.95,0.99 and 1.00,respectively,with an accuracy of 0.912±0.034,while the AUC values on the images at x40 magnification were 0.99,0.96,1.00 and 1.00,respectively,with an accuracy of 0.971±0.012.Our results indicated that the histopathologic diagnostic model could effectively differentiate EMPD from BD,SCC and non-tumor skin diseases at low power magnification.The FLPOs of ResNet101 was 786.6 M,and the parameter was 4.5 M;The FLPOs of DensNet121 was 289.7 M,and the parameter was 0.8M.Conclusion Our AI diagnostic model is of good effectiveness in the diagnosis and differential diagnosis of EMPD.DenseNet121 is recommended as the dermatopathological diagnostic model of this study.

Objective:Bone morphogenetic protein-4(BMP4)has been proved to be an important regulatory factor for the pathological process of atherosclerosis(AS).However,there are few related clinical studies.This study aims to investigate the levels of plasma BMP4 in patients suffering from the arterial occlusive diseases(ACD)characterized by AS,and further to test the relationship between BMP4 and inflammation and vascular injury. Methods:A total of 38 ACD patients(the ACD group)and 38 healthy people for the physical examination(the control group)were enrolled.The plasma in each subject from both groups was obtained to test the levels of BMP4,tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),IL-10,and vascular endothelial cadherin(VE-cadherin),and the relationship between BMP4 and the detected indicators above were further analyzed. Results:Compared with the control group,the patients in the ACD group displayed significant elevations in the neutrophil to lymphocyte ratio[NLR,1.63(1.26,1.91)vs 3.43(2.16,6.61)]and platelet to lymphocyte ratio[PLR,6.37(5.26,7.74)vs 15.79(7.97,20.53)],while decrease in the lymphocyte to monocyte ratio[LMR,5.67(4.41,7.14)vs 3.43(2.07,3.74)](all P<0.05).Besides,the ACD patients displayed significant elevations in plasma BMP4[581.26(389.85,735.64)pg/mL vs 653.97(510.95,890.43)pg/mL],TNF-α[254.16(182.96,340.70)pg/mL vs 293.29(238.90,383.44)pg/mL],and VE-cadherin[1.54(1.08,2.13)ng/mL vs 1.85(1.30,2.54)ng/mL],and decrease in IL-10[175.89(118.39,219.25)pg/mL vs 135.92(95.80,178.04)pg/mL](all P<0.05).While the levels of IL-1β remained statistically comparable between the 2 groups(P=0.09).Furthermore,the plasma BMP4 levels were further revealed to be positively correlated with the levels of IL-1β(r=0.35),TNF-α(r=0.31)and VE-cadherin(r=0.47),while they were negatively correlated with the levels of IL-10(r=-0.37;all P<0.01). Conclusion:After ACD occurrence,the patients'plasma concentrations of BMP4 would be upregulated,which may serve as a candidate to indicate the levels of inflammation and vascular injury.

ObjectiveTo investigate the relationship between plasma surfactant protein⁃A （SP⁃A） expression level and silicosis progression， and to provide early evidence for exploring whether SP⁃A can be used as a biomarker for clinical monitoring of silicosis disease progression. MethodsWe recruited 187 silicosis patients in Guangdong Province hospital for occupational disease prevention and treatment between November， 2019 and November，2020. Their peripheral venous blood samples were collected for the plasma isolation. The level of pulmonary SP⁃A was detected by enzyme-linked immunosorbent assay. ResultsThere was a statistically significant difference in the level of SP⁃A among the silicosis groups （P<0.05）， and the plasma SP-A level of the silicosis patients in stage Ⅲ was higher than that in stage Ⅰ and stage Ⅱ （P<0.05）. Smoking had effect on plasma SP⁃A levels， Age， working years and drinking had no effect on plasma SP⁃A levels. ConclusionThe expression level of SP⁃A in the plasma of silicosis patients is increased， which has a certain correlation with the disease stage， and plays a certain early warning role in the occurrence and development of silicosis， and may be a potential biomarker for the diagnosis and prognosis of silicosis.

Objective:To analyze the differentially expressed genes in PBMCs of patients with systemic lupus erythematosus (SLE) by bioinformatics methods screening and analyzing the key genes related to ferroptosis, and explore the possible mechanism of ferroptosis involved in the pathogenesis of SLE at the transcription level.Methods:The data sets and samples of healthy people (HC) and SLE patients who met the screening criteria were retrieved from the Gene Expression Omnibus (GEO), a sub-database of the National Center for Biotechnology Information (NCBI). The differentially expressed genes, GO enrichment analysis and KEGG pathway enrichment analysis were analyzed by GEO2R, R language and related software packages. The protein interaction network (PPI) of differential genes was analyzed by STRING, Cytoscape and other tools to explore the key genes and pathways. In addition, real-time quantitative reverse transcription PCR (RT-qPCR) was used to verify the expression of key genes. Mann-Whitney U test was used to compare the expression of key genes in PBMCs between the two groups. Spearman rank correlation analysis was used to explore the relationship between SLE disease activity and the level of key genes. Results:Six data sets were included in this study. A total of 166 genes related to ferroptosis were differentially expressed between SLE and HC groups. The differential genes were specifically expressed in alveolar macrophages, neutrophils, CD49 + cells and CD31 + cells. GO enrichment analysis and KEGG pathway enrichment analysis showed that the differentially expressed genes were mainly involved in multiple signaling pathways closely related to SLE, such as oxidative stress response, infection and TNF signaling pathway. Hub genes screened by different algorithms all suggested RELA as a key gene, and RT-qPCR confirmed that compared with the RELA gene expression level in the HC group [0.75(0.37,1.13)], the expression level in SLE group [2.02 (1.19,4.06)] was increased, the difference was statistically significant ( Z=-3.08, P=0.002), and was positively correlated with the corresponding SLEDAI score of SLE samples ( r=0.52, P=0.019). Conclusion:The ferroptosis of many immune cells, including alveolar macrophages and CD49 + NK cells, is involved in the pathogenesis of SLE. RELA may be involved in the ferroptosis of PBMCs in SLE through the NF-κB pathway.