Early secreted antigenic target of 6 kDa protein (ESAT-6) is the major virulence factor of Mycobacterium tuberculosis (MTB), which can resist the clearance of MTB in bodies by inhibiting macrophage phagocytosis and autophagy reaction, thus impeding the immune defense function of the body against MTB infection. In addition, ESAT-6-induced apoptosis of macrophage and massive necrosis of innate immune cells can foster MTB proliferation and colonization, leading to systemic MTB infection. Moreover, ESAT-6 hampers the protective immune response of Th1 cells, reducing the secretion of pro-inflammatory cytokines and contributing to immune dysfunction, thus accelerating the course of MTB infection. During the process, the high immunogenicity of ESAT-6 can be leveraged as a dominant antigen in the development of new TB vaccines, making it a promising candidate with broad prospects for further development.
Humans ; Mycobacterium tuberculosis ; Vaccines ; Cytokines ; Apoptosis ; Autophagy ; Sepsis

The seat of human intelligence is the human cerebral cortex, which is responsible for our exceptional cognitive abilities. Identifying principles that lead to the development of the large-sized human cerebral cortex will shed light on what makes the human brain and species so special. The remarkable increase in the number of human cortical pyramidal neurons and the size of the human cerebral cortex is mainly because human cortical radial glial cells, primary neural stem cells in the cortex, generate cortical pyramidal neurons for more than 130 days, whereas the same process takes only about 7 days in mice. The molecular mechanisms underlying this difference are largely unknown. Here, we found that bone morphogenic protein 7 (BMP7) is expressed by increasing the number of cortical radial glial cells during mammalian evolution (mouse, ferret, monkey, and human). BMP7 expression in cortical radial glial cells promotes neurogenesis, inhibits gliogenesis, and thereby increases the length of the neurogenic period, whereas Sonic Hedgehog (SHH) signaling promotes cortical gliogenesis. We demonstrate that BMP7 signaling and SHH signaling mutually inhibit each other through regulation of GLI3 repressor formation. We propose that BMP7 drives the evolutionary expansion of the mammalian cortex by increasing the length of the neurogenic period.
Animals ; Mice ; Humans ; Ependymoglial Cells/metabolism* ; Hedgehog Proteins/metabolism* ; Ferrets/metabolism* ; Cerebral Cortex ; Neurogenesis ; Mammals/metabolism* ; Neuroglia/metabolism* ; Bone Morphogenetic Protein 7/metabolism*

Objective:To explore the clinical characteristics and related socio-demographic factors of schizo-phrenia patients with different ages of onset.Methods:Totally 2 016 patients with schizophrenia aged 15 to 70 were selected according to the diagnostic criteria for schizophrenia in the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition.All of the patients were interviewed by psychiatrists using the Mini International Neuropsy-chiatric Interview to diagnose schizophrenia,Clinical-Rated Dimensions of Psychosis Symptom Severity(CRDPSS)and the Positive and Negative Syndrome Scale(PANSS)to assess symptoms.The cut-off points were 18 and 25 years old for three age groups,i.e.early onset(EOS),youth onset(YOS)and adult onset(AOS).Statistical analy-ses were performed by analysis of variance Pearson correlation analysis,and multivariate linear regression.Results:The early-onset patients had the highest total PANSS score(73.8±28.0)and CRDPSS score(11.7±5.4).Fe-male gender,high education level,Han ethnicity,early onset age,and slower onset of illness were negatively corre-lated with the total and dimension score of PANSS scale and CRDPSS scale(standardized regression coefficient:0.04-0.47),and income level and smoking were negatively correlated with those score(standardized regression coefficient:-0.04--0.14).Conclusion:Early-onset schizophrenia patients have more severe symptoms,and fe-male,high education level,early-onset disease,and chronic onset are the risk factors of symptom severity in patients with schizophrenia.

Objective: To understand the prevalence of school bullying and the comorbidity of anxiety and depressive symptoms among middle school students and their association, so as to provide a basis for developing related intervention strategies. Methods: From September to December 2023, a multistage random cluster sampling was employed to select 107 851 middle school students across 104 counties in Anhui Province. The Center for Epidemiological Studies Depression Scale (CES-D) and the Generalized Anxiety Disorder-7 (GAD-7) Scale were used to assess depressive and anxiety symptoms. Logistic regression analysis was utilized to examine the correlations between experiences of school bullying and the comorbidity of anxiety and depressive symptoms. Results: The findings revealed that 2.80% of middle school students had experienced school bullying in the past 30 days. Additionally, 27.03% exhibited potential symptoms of depression, 8.94% showed signs of anxiety symptom, and the comorbidity rate of anxiety and depressive symptoms was 8.04%. Logistic regression analysis showed that statistically significant correlations were identified between experiences of school bullying and increased risks of depressive symptoms (OR=6.42, 95%CI=5.93-6.94, P<0.01), anxiety symptoms (OR=5.94, 95%CI=5.47-6.44, P<0.01), and their comorbidity (OR=6.38, 95%CI=5.88-6.93, P<0.01). Compared with those who did not suffer from school bullying, junior high school students, ordinary senior high school students, vocational senior high school students, boys and girls who suffered from school bullying all had increased risks of comorbidity of anxiety and depressive symptoms (OR=7.25, 5.55, 4.80, 6.42, 6.27, P＜0.01). Conclusions The study underscores the significant impact of school bullying on increasing the risk of comorbidity of anxiety and depressive symptoms among middle school students. It is important to pay attention to the psychological health of bullied students and implement timely psychological intervention measures.

Objective To screen the anti-Helicobacter pylori gastritis active components of the ethyl acetate extract of Alpinia officinarum Hance.Methods The"knock-out"strategy combined with high-performance liquid chromatography(HPLC)detection was developed to separate the components of the ethyl acetate extract of A.officinarum while obtaining the negative samples without the components.A human gastric epithelial cell(GES-1)model of H.pylori gastritis was established,and the levels of interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),interleukin-8(IL-8)and interleukin-1β(IL-1β)in the supernatant of the cells were determined by enzyme-linked immunosorbent assay(ELISA).Results The total flavonoid fraction,the negative fraction without total diphenylheptanoids,the negative fraction without 5-hydroxy-7-(4-hydroxy-3-methoxyphenyl)-1-phenyl-3-heptanone(DHPA),and galangin significantly reduced IL-6 levels in the supernatant of H.pylori infected GES-1 cells at a concentration of 8 μg·mL-1 with 24 h incubation.The total flavonoid fraction strongly inhibited the release of IL-6,TNF-α,IL-8,and IL-1β from H.pylori gastritis GES-1 cells at a concentration of 16 μg·mL-1.Conclusions The total flavonoid fraction is the major anti-H.pylori gastritis active component of the ethyl acetate extract of A.officinarum.The results lay the foundation for further elucidation of the material basis of A.officnarum against H.pylori gastritis.

Objective:To analyze the drug-resistant gene loci of Mycoplasma pneumoniae (MP) using metagenomic next-generation sequencing (mNGS). Methods:From November 2022 to October 2023, 697 clinical samples (including sputum, alveolar lavage fluid and blood) of 686 children with Mycoplasma pneumoniae positive detected by mNGS were retrospectively analyzed. Samples were divided into intensive care unit (ICU) group and non-ICU group, Chi-square test was used to compare groups, and Mann-Kendall trend test was used to analyze the change trend of the detection rate of drug resistance gene loci over time. Results:Of the 697 samples, 164 were from the ICU group and 533 were from the non-ICU group. The detection rate of Mycoplasma pneumoniae resistance gene was 44.3% (309/697), and all detected drug-resistant gene loci of MP were A2063G. The detection rate of Mycoplasma pneumoniae in ICU group was 50.0% (82/164), and the detection rates of Mycoplasma pneumoniae resistance gene loci in sputum, alveolus lavage fluid and blood samples were 75.0% (18/24) and 48.4% (62/128), respectively. The detection rate in sputum was higher than alveolus lavage fluid samples ( χ2=5.72, P=0.017). The detection rate of Mycoplasma pneumoniae in non-ICU group was 42.6% (227/533), the detection rate of Mycoplasma pneumoniae resistance gene loci in sputum and alveolar lavage fluid was 40.0% (16/40), 44.3% (201/454), and no detection rate in blood samples (0/12). There was no significant difference in the detection rate of alveolar lavage fluid and sputum ( χ2=0.27, P=0.602). From November 2022 to October 2023, the detection rate of submitted samples showed an increasing trend month by month (overall: Z=3.99, ICU inspection group: Z=2.93, non-ICU group: Z=3.01, all P<0.01). Among the bacteria commonly detected with Mycoplasma pneumoniae, Streptococcus pneumoniae accounted for the highest proportion, the detection rate was 15.5% (108/697), and Epstein-Barr virus accounted for the highest proportion of 17.6% (123/697). Conclusions:From November 2022 to October 2023, the detection rate of Mycoplasma pneumoniae drug resistance gene loci showed an increasing trend. The detection rate of drug resistance gene loci in sputum samples of ICU group was higher than alveolus lavage fluid. No new drug resistance site were detected.

Objective:To explore the factors affecting the prognosis of severe pediatric acute respiratory distress syndrome (ARDS) after receiving extracorporeal membrane oxygenation (ECMO) support.Methods:It was a multicenter prospective observational study. A total of 95 children with severe ARDS who were treated with ECMO salvage therapy from January 2018 to December 2022 in 9 pediatric ECMO centers in China were enrolled in the study. The general data, disease severity, organ function, comprehensive treatment and prognosis were recorded, and they were divided into survival group and death group according to the outcome at discharge. T test, chi-square test, multivariate Logistic regression and mixed linear model were used to analyze the relationship among baseline before ECMO treatment, some important indicators (pediatric critical scores, platelet count, albumin, fibrinogen, etc) during ECMO treatment and prognosis. Results:Among the 95 children with severe ARDS who received ECMO, 55 (58%) were males and 40 (42%) were females, aged 36.9 (0.5, 72.0) months. Twelve children (13%) were immunodeficient. Sixty-eight (72%) children were treated with venous artery (VA) mode and 27 (28%) with venous vein (VV) mode. The discharge survival rates of overall, VA, and VV mode children were 51% (48/95), 47% (32/68), and 59% (16/27), respectively. The number of immunodeficient children in the death group was higher, and there were lower pediatric critical scores, platelet count, albumin, fibrinogen and arterial oxygen partial pressure/fraction of inspired oxygen (PaO 2/FiO 2), higher ventilator driving pressure (ΔP), oxygenaion index (OI), and longer ARDS duration before ECMO (all P<0.05). There were no statistically significant differences in other indicators, including age, gender, weight, and ECMO mode among different prognostic groups (all P>0.05). High ΔP, high OI, low P/F, and low albumin were high-risk factors affecting prognosis(all P<0.05). After further grouping, it was found that ΔP≥25 cmH 2O (1 cmH 2O=0.098 kPa), P/F≤67 mmHg (1 mmHg=0.133 kPa) and OI≥35 were the thresholds for predicting poor prognosis ( P<0.05). From 24 h after ECMO, there were significant differences in ΔP, P/F and OI between the dead group and the survival group (all P<0.05), and the differences gradually increased with the ECMO process. The platelet level was significant from 7 days after ECMO ( P<0.05) and gradually expanded. Blood lactate levels showed a significant difference between the 2 groups on before and after ECMO ( P<0.05) and gradually increased from 24 h after ECMO. Conclusions:The risk factors affecting the prognosis of severe ARDS in ECMO include high ΔP, high OI, low P/F and low albumin purification therapy before ECMO. The gradual decrease of ΔP, OI and increase of P/F from 24 h of ECMO predicted a good prognosis, while the gradual increase of lactate after ECMO application showed a poor prognosis.

Gaucher Disease (GD) is an autosomal recessive lysosomal storage disorder characterized by high heterogeneity. This study aimed to further understand the correlation between clinical phenotypes and genotypes in GD patients through a retrospective analysis of 20 cases in Shanxi Bethune Hospital, including their clinical manifestations, laboratory tests, enzyme studies, and genetic results. Among the 20 GD patients, 16 were classified as Type Ⅰ GD with a median age of diagnosis of 24 years, and 4 were classified as Type Ⅲ GD with a median age of diagnosis of 19 years. All patients exhibited splenomegaly and thrombocytopenia, with 16 patients showing skeletal imaging changes, and 5 of them presenting with bone pain symptoms. Genetic analysis revealed 15 distinct mutations, predominantly missense mutations, with L483P being the most prevalent (35.7%), followed by V414L, L303I, and F252I. Mutation sites were predominantly located in exon 7. Noteworthy findings included the first report of the S310G mutation by our research group and the first occurrence of the K196R mutation in the Chinese population. Additionally, the N227S mutation was implicated in a potential association with neuropathy. Despite advancements, Uncertainties still exist in the correlation between clinical phenotypes and genotypes in GD patients.

Purpose: Prostate cancer (PCa) is an epithelial malignancy that originates in the prostate gland and is generally categorized into low, intermediate, and high-risk groups. The primary diagnostic indicator for PCa is the measurement of serum prostate-specific antigen (PSA) values. However, reliance on PSA levels can result in false positives, leading to unnecessary biopsies and an increased risk of invasive injuries. Therefore, it is imperative to develop an efficient and accurate method for PCa risk stratification. Many recent studies on PCa risk stratification based on clinical data have employed a binary classification, distinguishing between low to intermediate and high risk. In this paper, we propose a novel machine learning (ML) approach utilizing a stacking learning strategy for predicting the tripartite risk stratification of PCa. Methods: Clinical records, featuring attributes selected using the lasso method, were utilized with 5 ML classifiers. The outputs of these classifiers underwent transformation by various nonlinear transformers and were then concatenated with the lasso-selected features, resulting in a set of new features. A stacking learning strategy, integrating different ML classifiers, was developed based on these new features. Results: Our proposed approach demonstrated superior performance, achieving an accuracy of 0.83 and an area under the receiver operating characteristic curve value of 0.88 in a dataset comprising 197 PCa patients with 42 clinical characteristics. Conclusions This study aimed to improve clinicians’ ability to rapidly assess PCa risk stratification while reducing the burden on patients. This was achieved by using artificial intelligence-related technologies as an auxiliary method for diagnosing PCa.

BACKGROUND: The therapeutic potential of exosomes from human umbilical cord mesenchymal stem cells (HUMSCsExo) for delivering specific circular RNAs (circRNAs) in treating premature ovarian failure (POF) is not well understood.This study aimed to explore the efficacy of HUMSCs-Exo in delivering hsa_circ_0002021 for POF treatment, focusing on its effects on granulosa cell (GC) senescence and ovarian function. METHODS: Bioinformatic analysis was conducted on circRNA profiles using the GSE97193 dataset from GEO, targeting granulosa cells from varied age groups. To simulate granulosa cell senescence, KGN cells were treated with cyclophosphamide (CTX). HUMSCs were transfected with pcDNA 3.1 vectors to overexpress hsa_circ_0002021, and the HUMSCsExo secreted were isolated. These exosomes were characterized by transmission electron microscopy (TEM) and Western blotting to confirm exosomal markers CD9 and CD63. Co-culture of these exosomes with CTX-treated KGN cells was performed to assess b-galactosidase activity, oxidative stress markers, ROS levels, and apoptosis via flow cytometry.Interaction between hsa_circ_0002021, microRNA-125a-5p (miR-125a-5p), and cyclin-dependent kinase 6 (CDK6) was investigated using dual-luciferase assays and RNA immunoprecipitation (RIP). A POF mouse model was induced with CTX, treated with HUMSCs-Exo, and analyzed histologically and via immunofluorescence staining. Gene expression was quantified using RT-qPCR and Western blot. RESULTS: hsa_circ_0002021 was under expressed in both in vivo and in vitro POF models and was effectively delivered by HUMSCs-Exo to KGN cells, showing a capability to reduce GC senescence. Overexpression of hsa_circ_0002021 in HUMSCs-Exo significantly enhanced these anti-senescence effects. This circRNA acts as a competitive adsorbent of miR-125a-5p, regulating CDK6 expression, which is crucial in modulating cell cycle and apoptosis. Enhanced expression of hsa_circ_0002021 in HUMSCs-Exo ameliorated GC senescence in vitro and improved ovarian function in POF models by modulating oxidative stress and cellular senescence markers. CONCLUSION This study confirms that hsa_circ_0002021, when delivered through HUMSCs-Exo, can significantly mitigate GC senescence and restore ovarian function in POF models. These findings provide new insights into the molecular mechanisms of POF and highlight the therapeutic potential of circRNA-enriched exosomes in treating ovarian aging and dysfunction.