Objective To observe the value of quality control system based on artificial intelligence(AI)for improving imaging quality of chest CT.Methods Totally 1 726 CT images obtained from 415 patients were retrospectively collected,among which 1 414 images were used for convolutional neural network(CNN)training and the rest 312 images were used for validation.Precision,Recall,F1-Score,mean average precision(mAP)and intersection over union(IOU)of quality control system based on AI for chest CT scanning were calculated.Meanwhile,21 patients with unsatisfactory chest CT who would undergo re-examination were prospectively enrolled,and chest CT scanning with quality control system based on AI were performed.The results of 2 examinations were compared.Results Precision,Recall,F1-Score,mAP and IOU of quality control system based on AI for chest CT were all good.All 21 cases were diagnosed correctly with re-examination CT based on quality control system.Among 21 cases,the first CT misdiagnosed 19 cases,the displaying of the area,volume and display quality of pulmonary nodules were not significantly different,but the morphology,boundaries,spiny protrusions,vacuolar signs,inflatable bronchial signs of nodules as well as the thickened and twisted blood vessels were obviously different between 2 times examination.The first CT missed 1 case while correctly diagnosed 1 case.Conclusion The quality control system based on AI was helpful for improving imaging quality of chest CT and increasing diagnostic efficacy.

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.

Objective: To investigate the relationship between health literacy and sports injuries among high school students with athletic specialization, so as to provide theoretical basis for the intervention of sports injury occurrence of sports special students. Methods: A total of 443 high school students with athletic specialization aged 16-18 years old from 21 urban and rural areas in Shangrao City, Ganzhou City and Nanchang City of Jiangxi Province were selected by convenient sampling method from March to April 2023, and the health literacy and sports injury incidence were investigated. The assessment of sports injury was based on the Monitoring Method of Child and Adolescent Injury, and the assessment of health literacy level was conducted using the Interactive Health Literacy Questionnaire of Chinese Adolescents. χ 2 test was used to compare the reported rate of sports injuries among the demographic and sports training groups and the correlation between health literacy and sports injuries. Binary Logistic regression analysis was used to infer the correlation between the health literacy level of high school students with athletic specialization and the occurrence of sports injuries. Results: The prevalence of sports injury was 49.4% in high school students with athletic specialization. Binary Logistic regression analysis showed that the risk of sports injury of high school students with athletic specialization with medium and low level of health literacy was significantly increased compared with high level (medium level: OR = 1.98,95% CI =1.12-3.51; low level: OR =2.08, 95% CI =1.18-3.68), high school students with athletic specialization in low level of health awareness of sports injury risk was higher than other dimensions of health literacy level (middle level: OR =2.77, 95% CI =1.48-5.19; low level: OR =2.01, 95% CI =1.04-3.88)( P <0.05). The results of stratified analysis showed that among male students with athletic specialization and students with track and field, students with moderate/low overall health literacy had a higher risk of sports injuries compared to high level students (male students: low level, OR =2.46, 95% CI =1.15-5.28; track and field: intermediate level, OR =2.17, 95% CI =1.06-4.43, low level, OR =2.09, 95% CI =1.02-4.30; P <0.05). Conclusions There is a correlation between the health literacy level of high school students with athletic specialization and the occurrence of sports injuries. Students health awareness should be improved to reduce the risk of sports injuries.

Objective To detect the expression level of 4-aminobutyrate aminotransferase(ABAT)in bone marrow of patients with myelodysplastic syndrome(MDS),and analyze its influence on clinicopathological features and prognosis of patients.Methods From January 2016 to March 2020,92 patients with MDS and 30 patients with acute myeloid leukemia(AML)from the First Affiliated Hospital of Xingtai Medical College were retrospectively collected.Meanwhile,30 patients with immunothrombocytopenia who did not develop MDS or other clonal diseases of the blood system during a 3-year follow-up were collected as control group.Real-time quantitative fluorescent PCR(qRT-PCR)was used to detect the relative expression level and methylation level of ABAT mRNA of all patients,and the relative expression level and methylation level of ABAT mRNA among different clinical characteristics of MDS patients were compared.Multivariate logistic regression analysis was used to analyze the risk factors affecting the adverse prognosis of MDS.The clinical value of detecting ABAT methylation level in predicting poor prognosis of MDS patients was analyzed by receiver operating characteristic(ROC)curve.Kaplan-Meier method was used to calculate the 3-year survival rate between groups with different ABAT mRNA relative expression levels and methylation levels,and log-rank test was used for their comparison.Results The expression level of ABAT mRNA in MDS group(0.42±0.08)was lower than that in control group(0.56±0.15)and AML group(0.52±0.10),while the methylation level of ABAT(32.51±5.32)was higher than that of AML group(26.21±4.58)and control group(10.25±4.31),and the differences were significant(t=4.251,4.562;10.415,8.326,all P<0.001).The methylation level of ABAT in high-risk patients(42.65±5.32)was higher than that in low-risk patients(25.63±4.16),intermediate-risk-1 patients(30.59±2.51)and intermediate-risk-2 patients(33.25±3.69)by IPSS risk grade,and the differences were significant(t=8.329,7.077,15.874,all P<0.001).Poor Karyotype analysis result[OR(95%CI):4.973(1.524～8.581),P=0.004],high IPSS risk grade[OR(95%CI):8.542(2.365～14.521),P<0.001]and ABAT hypermethylation level[OR(95%CI):6.178(1.589～13.021),P<0.001]were the risk factors affecting the poor prognosis of MDS.The cut-offvalue of ABAT methylation level to predict the poor prognosis of MDS were 30.54,and the area under the curve(AUC),the sensitivity and specificity were 0.92,0.874 and 0.851,respectively.The 3-year survival rate of the high ABAT methylation group(>30.54)was 66.67%,which was lower than that of the low ABAT methylation group(≤30.54)was 93.18%,with significant difference(Log-rank x2=9.814,P=0.002).Conclusion The ABAT methylation levels in MDS bone marrow increase,which is a risk factor affecting the poor prognosis of patients.ABAT basal level>30.54 is expected to become a factors predicting the poor prognosis of patients.

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.

It is found that acupuncture can significantly improve the clinical symptoms of rheumatoid arthritis (RA) such as pain and joint stiffness, and improve rheumatoid factor, high-sensitivity CRP, ESR and other clinical indicators. It can inhibit the proliferation of synovial cells, the apoptosis of chondrocytes, and regulate polarization balabce of mononuclear macrophages, T cells, as well as inhibit the inflammatory function of multiple immune cells, in order to improve inflammation state of RA joints. In clinical treatment of RA, bladder meridian, stomach meridian, spleen meridian , and Governor Vessel are mostly selected. Acupoints with the efficacy of warming meridian, dispelling coldness and dredging collaterals were commonly selected such as Zusanli (ST36), Yanglinquan (GB34), Dazhui (GV14), Quchi (LI11). Several researches have proved that combined therapy of acupuncture and medicine is worthy promotion in clinic.

Objective:To investigate the protective effect of quercetin(QUE)on acute lung injury(ALI)rats with sepsis.Methods:Sixty male SD rats were randomly divided into 6 groups(n=10):Sham operation group(Sham),model group(CLP),QUE 25 mg/kg group,QUE 50 mg/kg group,QUE 100 mg/kg group and positive drug dexamethasone(DEX)group.Rats in each group were continuously treated for 7 days,and the survival rate was calculated;HE staining and lung wet-to-dry weight ratio(W/D)were used to evaluate the severity of lung injury;TUNEL staining was used to detect lung tissue apoptosis;levels of inflammatory factors,SOD and MDA were detected by the kits;Western blot was used to detect expressions of apoptosis-related proteins and phosphoryla-tion levels of PTEN,β-catenin,protein kinase B(AKT)and glycogen synthase kinase-3β(GSK-3β)in rat lung tissue.Results:Com-pared with CLP group,after QUE 50 mg/kg and 100 mg/kg treatment,survival rate of rats was significantly increased(P<0.05),the degree of inflammatory cell infiltration in lung tissue was reduced,lung injury score and W/D were reduced(P<0.05),apoptosis rate of lung tissue cells and expressions of apoptosis-related proteins were significantly decreased(P<0.05),levels of inflammatory factors were decreased(P<0.05),while the antioxidant capacity was enhanced(P<0.05),phosphorylation levels of PTEN and β-catenin were decreased,while phosphorylation levels of AKT and GSK-3β were increased(P<0.05).Conclusion:QUE protects rats from ALI with sepsis by inhibiting apoptosis,reducing inflammation and antioxidance,which mechanism may be related to PTEN/β-catenin and AKT/GSK-3β pathways.

BackgroundBeing complex and highly heterogeneous with regard to the etiology and clinical manifestations of depression， neuroimaging studies make a breakthrough for exploring the biological subtypes of depression， while the current data-driven approach for the identification of subtyping depression using structural magnetic resonance imaging （MRI） data is insufficient. ObjectiveTo explore the biological subtypes of depression using diffusion tensor imaging （DTI） and machine learning methods. MethodsA total of 127 patients with depression who attended Beijing Anding Hospital from September 2017 to August 2021 and met the Diagnostic and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） diagnostic criteria were included， and another 80 healthy individuals matched for gender and age were recruited through advertisements in surrounding communities during the same period. DTI findings， demographic characteristics and clinical data were collected from all participants. Tract-based spatial statistics （TBSS） and the Johns Hopkins University （JHU） white matter probability maps were used to extract fractional anisotropy （FA） values of white matter tracts. A semi-supervised machine learning technique was used to identify the subtypes， and the FA values for whole brain white matter of patients and controls were compared. ResultsPatients with depression were classified into two biological subtypes. FA values in multiple tracts including corpus callosum and corona radiata of subtype I patients were smaller than those of healthy controls （P<0.01， FDR corrected）， and FA values in middle cerebellar peduncle， left superior cerebellar peduncle and left cerebral peduncle of subtype II patients were larger than those of healthy controls （P<0.01， FDR-corrected）. Baseline Hamilton Depression Scale-17 item （HAMD-17） score yielded no statistical difference between subtype I and subtype II patients （P>0.05）， while subtype I patients scored lower on HAMD-17 than subtype II patients after 12 weeks of treatment （t=2.410， P<0.05）. ConclusionDepression patients exhibit two biological subtypes with distinct patterns of white matter damage. Furthermore， the subtypes respond differently to the medication treatment. ［Funded by the National Key Research and Development Program of China （number， 2016YFC1307200）， the Scientific Research and Cultivation Program of Beijing Municipal Hospitals （number，PX2023066）， Beijing Anding Hospital， Capital Medical University （number，YJ201904， YJ201911）； www.chictr.org.cn number： ChiCTR-OOC-17012566］

Macrophages are widely distributed immune cells that contribute to tissue homeostasis. Human THP-1 cells have been widely used in various macrophage-associated studies, especially those involving pro-inflammatory M1 and anti-inflammatory M2 phenotypes. However, the molecular characterization of four M2 subtypes (M2a, M2b, M2c, and M2d) derived from THP-1 has not been fully investigated. In this study, we systematically analyzed the protein expression profiles of human THP-1-derived macrophages (M0, M1, M2a, M2b, M2c, and M2d) using quantitative proteomics approaches. The commonly and specially regulated proteins of the four M2 subtypes and their potential biological functions were further investigated. The results showed that M2a and M2b, and M2c and M2d have very similar protein expression profiles. These data could serve as an important resource for studies of macrophages using THP-1 cells, and provide a reference to distinguish different M2 subtypes in macrophage-associated diseases for subsequent clinical research.
Humans ; Macrophages/metabolism* ; Phenotype ; Proteomics ; THP-1 Cells

It is unclear whether antidepressants have the same effects on the brain function at different periods of treatment.In this paper, in order to improve the understanding of the neurobiological mechanisms of antidepressants from brain network level, find the target of antidepressants, optimize treatment strategy, four common neuroimaging techniques were reviewed to investigate the changes of brain functional imaging in patients with major depressive disorder at different periods (short-term, acute and long-term) after antidepressant treatment.After short-term antidepressant treatment, the changes of brain functional imaging mainly involved the amygdala, insula, prefrontal cortex, dorsal anterior cingulate cortex and so on, and these short-term changes of brain functional imaging could predict acute efficiency.After acute stage of antidepressant treatment, the changes of brain functional imaging were mostly located in the brain regions of cortical-limbic circuit and default mode network.The effect of long-term antidepressant treatment on brain functional imaging still needs to be further studied.In the future, the experimental design should be optimized and multiple neuroimaging techniques should be combined to conduct longitudinal long-term studies at multiple time points.