The genetic etiology of body fluids on chronic obstructive airways disease.

BACKGROUND: Numerous studies have documented significant alterations in the bodily fluids of Chronic Obstructive Pulmonary Disease (COPD) patients. However, existing literature lacks causal inference due to residual confounding and reverse causality. METHODS: Summary-level data for COPD were obtained from two national biobanks: the UK Biobank, comprising 1,605 cases and 461,328 controls, and FinnGen, with 6,915 cases and 186,723 controls. We also validated our findings using clinical data from 2,690 COPD patients and 3,357 healthy controls from the First Affiliated Hospital of Guangzhou Medical University. A total of 44 bodily fluid biomarkers were selected as candidate risk factors. Mendelian randomization (MR) and meta-analyses were used to evaluate the causal effects of these bodily fluids on COPD and lung function (FEV1/FVC). RESULTS: Mendelian randomization (MR) and meta-analyses, by integrating data from the UK Biobank and FinnGen cohort, found that 3 bodily fluids indicators (HDLC, EOS, and TP) were causally associated with the risk of COPD, two (EOS and TP) of which is consistent with our observational findings. Moreover, we noticed EOS and TP were causally associated with the risk of lung function (FEV1/FVC). CONCLUSIONS: The MR findings and clinical data highlight the independent and significant roles of EOS and TP in the development of COPD and lung function (FEV1/FVC), which might provide a deeper insight into COPD risk factors and supply potential preventative strategies.

Etiology and prognosis of non-Kawasaki disease induced coronary aneurysms in children: a retrospective case series study.

While Kawasaki disease (KD) induced coronary artery aneurysms (KD CAAs) in children are well studied, the features and prognosis of non-KD induced CAAs (non-KD CAAs) in the pediatric population are poorly documented. This case series study is to analyze the etiology and prognosis of non-KD CAAs in children and compare the characteristics of non-KD CAAs and KD CAAs. Non-KD CAA and KD CAA cases at our department from January 2022 to December 2023 were retrospectively collected. Etiologies and prognosis of non-KD CAAs were analyzed. Furthermore, demographic data, biochemical parameters and outcomes between children with Non-KD CAAs and children with KD CAAs were comparatively studied. Fifteen children with non-KD CAAs with a median age of 6 years and 117 children with KD CAAs with a median age of 2.0 years (p = 0.022) were included in this study. The causes of non-KD CAAs include: unknown etiologies (2 cases), coronary artery structural abnormalities (4), Takayasu arteritis (2), virus infection (2), cardiomyopathy (2), aplastic anemia with agranulocytosis (1), ANCA-associated vasculitis (1), and mucopolysaccharidosis (1). In the non-KD CAA group, there were a total of 19 CAAs with 3 being giant, 5 medium, and 11 small; 4 patients had complete CAA regression; an infant with a fistula between the right coronary artery and the coronary sinus complicated with cardiac enlargement died of heart failure. The KD group had significantly higher levels of CRP, white cells counts and ESR with zero mortality. Non-KD CAA cases had a significantly lower regression rate than KD-CAA cases (26.7% vs 66.7%, p = 0.004), and the probability of CAA regression in non-KD patients was 0.341 of that in KD patients (p = 0.006, OR = 0.341, 95% CI: 0.179-0.647). CONCLUSIONS: Various etiologies for Non-KD CAAs are identified. Patients with Non-KD CAAs were observed to have lower inflammatory indexes but poorer recovery than patients with KD CAAs. Therapeutic strategies different than those for KD may be needed for non-KD CAAs. WHAT IS KNOWN: • Coronary artery aneurysm (CAA) in children is most commonly induced by Kawasaki disease (KD CAA), with a 50 ~ 70% regression rate in 1 to 2 years. • CAA induced by diseases other than KD (non-KD CAA) in children is rare and its prognosis remains largely unknown. WHAT IS NEW: • Most non-KD CAA cases are caused by coronary artery structural malformations. • Non-KD CAA in children has poorer prognosis and lower regression rate compared with KD CAA. • In addition to guideline directed anti-platelet and anti-coagulant therapies, treatments targeting the causal factor are necessary for non-KD CAA.

An Android Malware Detection Approach to Enhance Node Feature Differences in a Function Call Graph Based on GCNs.

The smartphone has become an indispensable tool in our daily lives, and the Android operating system is widely installed on our smartphones. This makes Android smartphones a prime target for malware. In order to address threats posed by malware, many researchers have proposed different malware detection approaches, including using a function call graph (FCG). Although an FCG can capture the complete call-callee semantic relationship of a function, it will be represented as a huge graph structure. The presence of many nonsensical nodes affects the detection efficiency. At the same time, the characteristics of the graph neural networks (GNNs) make the important node features in the FCG tend toward similar nonsensical node features during the propagation process. In our work, we propose an Android malware detection approach to enhance node feature differences in an FCG. Firstly, we propose an API-based node feature by which we can visually analyze the behavioral properties of different functions in the app and determine whether their behavior is benign or malicious. Then, we extract the FCG and the features of each function from the decompiled APK file. Next, we calculate the API coefficient inspired by the idea of the TF-IDF algorithm and extract the sensitive function called subgraph (S-FCSG) based on API coefficient ranking. Finally, before feeding the S-FCSG and node features into the GCN model, we add the self-loop for each node of the S-FCSG. A 1-D convolutional neural network and fully connected layers are used for further feature extraction and classification, respectively. The experimental result shows that our approach enhances the node feature differences in an FCG, and the detection accuracy is greater than that of models using other features, suggesting that malware detection based on a graph structure and GNNs has a lot of space for future study.

CLDTLog: System Log Anomaly Detection Method Based on Contrastive Learning and Dual Objective Tasks.

System logs are a crucial component of system maintainability, as they record the status of the system and essential events for troubleshooting and maintenance when necessary. Therefore, anomaly detection of system logs is crucial. Recent research has focused on extracting semantic information from unstructured log messages for log anomaly detection tasks. Since BERT models work well in natural language processing, this paper proposes an approach called CLDTLog, which introduces contrastive learning and dual-objective tasks in a BERT pre-trained model and performs anomaly detection on system logs through a fully connected layer. This approach does not require log parsing and thus can avoid the uncertainty caused by log parsing. We trained the CLDTLog model on two log datasets (HDFS and BGL) and achieved F1 scores of 0.9971 and 0.9999 on the HDFS and BGL datasets, respectively, which performed better than all known methods. In addition, when using only 1% of the BGL dataset as training data, CLDTLog still achieves an F1 score of 0.9993, showing excellent generalization performance with a significant reduction of the training cost.

The Construction and Validation of a Novel Ferroptosis-Related Gene Signature in Parkinson's Disease.

As a newly discovered regulated cell death mode, ferroptosis is associated with the development of Parkinson's disease (PD) and has attracted much attention. Nonetheless, the relationship between ferroptosis and PD pathogenesis remains unclear. The GSE8397 dataset includes GPL96 and GPL97 platforms. The differential genes were analyzed by immune infiltration and Gene Set Enrichment Analysis (GSEA) (p < 0.05), and differential multiple |logFC| > 1 and weighted gene coexpression network analysis (WGCNA) were used to screen differential expression genes (DEGs). The intersection with 368 ferroptosis-related genes (FRGs) was conducted for gene ontology/Kyoto encyclopedia of gene and genome (GO/KEGG) enrichment analysis, gene expression analysis, correlation analysis, single-cell sequencing analysis, and prognosis analysis (area under the curve, AUC) and to predict relevant miRNAs and construct network diagrams using Cytoscape. The intersection genes of differentially expressed ferroptosis-related genes (DEFRGs) and mitochondrial dysfunction genes were validated in the substantia nigra of MPTP-induced PD mice models by Western blotting and immunohistochemistry, and the protein-binding pocket was predicted using the DoGSiteScorer database. According to the results, the estimated scores were positively correlated with the stromal scores or immune scores in the GPL96 and GPL97 platforms. In the GPL96 platform, the GSEA showed that differential genes were mainly involved in the GnRH signaling pathway, B cell receptor signaling pathway, inositol phosphate metabolism, etc. In the GPL97 platform, the GSEA showed that differential genes were mainly involved in the ubiquitin-mediated proteolysis, axon guidance, Wnt signaling pathway, MAPK signaling pathway, etc. We obtained 26 DEFRGs, including 12 up-regulated genes and 14 down-regulated genes, with good correlation. The area under the prognostic analysis curve (AUC > 0.700) showed a good prognostic ability. We found that they were enriched in different neuronal cells, oligodendrocytes, astrocytes, oligodendrocyte precursor cells, and microglial cells, and their expression scores were positively correlated, and selected genes with an AUC curve ≥0.9 were used to predict miRNA, including miR-214/761/3619-5p, miR-203, miR-204/204b/211, miR-128/128ab, miR-199ab-5p, etc. For the differentially expressed ferroptosis-mitochondrial dysfunction-related genes (DEF-MDRGs) (AR, ISCU, SNCA, and PDK4), in the substantia nigra of mice, compared with the Saline group, the expression of AR and ISCU was decreased (p < 0.05), and the expression of α-Syn and PDK4 was increased (p < 0.05) in the MPTP group. Therapeutic drugs that target SNCA include ABBV-0805, Prasinezumab, Cinpanemab, and Gardenin A. The results of this study suggest that cellular DEF-MDRGs might play an important role in PD. AR, ISCU, SNCA, and PDK4 have the potential to be specific biomarkers for the early diagnosis of PD.

Frequency-Modulated Signal Measurement Using Closed-Loop Methodology.

Frequency-modulated (FM) signals are widely used in sensing, measurement, and signal detection due to their strong anti-interference and easy transmission characteristics. Although the high-precision measurement methods for static signals are quite complete, the high-precision measurement methods for dynamic FM signals still need to be studied, and the measurement accuracy in the high-sampling system still has room for improvement. Traditionally, the equal-precision measurement method is widely applied in most scenarios. However, its accuracy is limited by the quantization error of ±1 word and the sampling gate time, making it difficult to improve the frequency measurement accuracy while ensuring a high sampling rate at the same time. In this paper, a high-precision feedback frequency measurement system with the capability to eliminate the quantization error of ±1 word is proposed. The proposed system consists of two stages, the rough measurement stage based on the equal-precision measurement method and the precise measurement stage based on the negative feedback tracking architecture using the phase-frequency detector (PFD) and direct digital synthesizer (DDS). The effectiveness and feasibility of the system are verified by both simulation and experiment. At the sampling rate of 2 kHz, the frequency measurement accuracy is improved by more than 30 dB.

[Serum free fatty acid level in children with primary hypertension]. / å„¿ç«¥åŽŸå‘æ€§é«˜è¡€åŽ‹è¡€æ¸ æ¸¸ç¦»è„‚è‚ªé ¸çš„æ°´å¹³åŠæ„ä¹‰.

OBJECTIVES: To examine the serum level of free fatty acid (FFA) in children with primary hypertension and its value in the pathogenesis, prevention, and treatment of primary hypertension in children. METHODS: In this retrospective study, 34 children with primary hypertension who were treated for the first time in Children's Hospital Affiliated to Capital Institute of Pediatrics from January to June, 2021, were enrolled as the hypertension group, and 32 children with normal blood pressure who underwent physical examination during the same period were enrolled as the control group. The two groups were compared in terms of the levels of fasting serum FFA, fasting serum triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and non-high-density lipoprotein cholesterol (non-HDL-C). The multivariate logistic regression model was used to analyze the influence of FFA on the development of primary hypertension. RESULTS: Compared with the control group, the hypertension group had significantly higher body mass index (BMI), systolic blood pressure, and diastolic blood pressure (P<0.05), as well as significantly higher serum levels of FFA, TG, LDL-C, and non-HDL-C and a significantly lower serum level of HDL-C (P<0.05). Compared with the control group, the hypertension group had significantly higher rates of elevated serum FFA (>0.45 mmol/L for girls and >0.60 mmol/L for boys) (P<0.05) and abnormal blood lipid levels (abnormality in at least one index among serum TG, TC, LDL-C, HDL-C, and non-HDL-C) (P<0.05). A multivariate logistic regression equation was established based on age, sex, BMI, elevated serum FFA, and abnormal blood lipid levels, and the results showed that elevated serum FFA was an independent risk factor for primary hypertension in children (OR=17.560, 95%CI: 1.964-157.003, P<0.05). CONCLUSIONS: There is a significant increase in serum FFA level in children with primary hypertension, and the increase in serum FFA can increase the risk of primary hypertension in children.

PTH1-34 promotes osteoblast formation through Beclin1-dependent autophagic activation.

INTRODUCTION: PTH1-34 can stimulate osteoblast formation, which contributes to the improvement of bone loss. PTH1-34 can activate autophagy, and autophagy plays a key role in osteoblast formation. This study aimed to explore the role of autophagy in PTH1-34-regulated osteoblastogenesis. MATERIALS AND METHODS: In this study, the mice treated with ovariectomy (OVX mice) were used to observe the effect of PTH1-34 on the formation and autophagy of osteoblasts in trabecular bone in vivo. Osteoblast precursor cell line MC3T3-E1 was treated with PTH1-34, and then the autophagic parameters of osteoblast precursors (including autophagic proteins and autophagosome formation) were detected using Western Blotting and Transmission Electron Microscopy. Next, after using autophagic pharmacological inhibitor (3-MA) and silencing vectors of autophagic molecule Beclin1 to downregulate autophagic activity, the parameters related to osteogenesis (including ALP staining intensity, ALP activity, cell proliferation and osteoblastic protein expression) were evaluated using corresponding assays. RESULTS: In vivo results showed that PTH1-34 not only improved bone loss caused by OVX but also restored Beclin1 expression and autophagic activity of immature osteoblasts in bone tissues. In vitro assays also showed that treatment of PTH1-34 enhanced the autophagy in osteoblast precursors. Moreover, under PTH1-34 intervention, the upregulated osteogenic parameters were reversed by autophagic inhibition with 3-MA. Of note, Beclin1 silencing can recover the osteogenic activity enhanced by PTH1-34. CONCLUSION: PTH1-34 can enhance the autophagic activity of osteoblast precursors, which is involved in PTH1-34-regulated osteoblast formation. Furthermore, Beclin1, as a key autophagic regulator, plays a pivotal role in PTH1-34-regulated osteoblast precursor autophagy and osteoblastogenesis.

[Diagnosis of a case of autosomal recessive polycystic kidney disease with combined prenatal imaging and genetic testing].

OBJECTIVE: To explore the genetic basis for a fetus with renal abnormalities through whole exome sequencing and imaging examination. METHODS: Clinical data and result of medical imaging of the fetus was collected. Amniotic fluid sample was collected for the extraction of fetal DNA. Whole exome sequencing was carried out. Candidate variants were verified by Sanger sequencing. RESULTS: Prenatal ultrasonography showed that the fetus had bilateral enlargement of the kidneys with hyperechogenicity and diffuse renal cysts. Whole exome sequencing revealed that the fetus carried compound heterozygous variants of the PKHD1 gene, namely c.5137G>T and c.2335_2336delCA, which were derived from its mother and father, respectively. CONCLUSION: The fetus was diagnosed with autosomal recessive polycystic kidney disease through combined prenatal ultrasonography and whole exome sequencing. The compound heterozygous variants of the PKHD1 gene probably underlay the pathogenesis in the fetus. The results have enabled prenatal diagnosis and genetic counseling for its parents.

Circular RNA circUBAP2 regulates proliferation and invasion of osteosarcoma cells through miR-641/YAP1 axis.

BACKGROUND: Osteosarcoma (OS) is a common malignant bone cancer and is still a growing threat to young people. Circular RNAs (CircRNAs) are reported to be involved in the development of diverse human cancers. However, the role of circUBAP2 in OS progression is rarely reported. METHODS: Quantitative real-time polymerase chain reaction (qRT-PCR) was conducted to detect the expression levels of circUBAP2 and miR-641 in OS tissues and cells. Cell Counting Kit-8 (CCK-8) assay was employed to check cell proliferation. The ability of cell invasion was evaluated by transwell assay. The protein levels of E-cadherin, Vimentin and Yes-associated protein 1 (YAP1) were measured by western blot. The starBase was used to predict binding sites between miR-641 and circUBAP2 or YAP1 and the dual-luciferase reporter assay was performed to verify the interaction. RESULTS: The level of circUBAP2 was significantly upregulated in OS tissues and cells compared with normal tissues and cells, which was contrary to the expression of miR-641. Downregulation of circUBAP2 suppressed proliferation and invasion of OS cells and weakened the process of epithelial-mesenchymal transition (EMT). Moreover, miR-641 was a target of circUBAP2 and could bind to the 3'-untranslated region (3'UTR) of YAP1. In addition, overexpression of circUBAP2 or YAP1 reversed the inhibitory effects of miR-641 on proliferation and invasion of OS cells. Further research indicated that circUBAP2 regulated the expression of YAP1 by interacting with miR-641 in OS cells. CONCLUSION: Knockdown of circUBAP2 impeded proliferation and invasion of OS cells by downregulating the expression of YAP1 via sponging miR-641.

Knockdown of LINC00657 inhibits ox-LDL-induced endothelial cell injury by regulating miR-30c-5p/Wnt7b/ß-catenin.

Long noncoding RNAs (lncRNAs) play pivotal roles in the pathogenesis, development, and treatment of atherosclerosis (AS). The endothelial cell injury is a feature of AS. However, the role and mechanism of lncRNA LINC00657 in oxidized low-density lipoprotein (ox-LDL)-induced endothelial cell injury remain unclear. The serum samples were collected from 32 AS patients and normal volunteers. Ox-LDL-treated human umbilical vein endothelial cells (HUVEC) were used for the experiments in vitro. The levels of LINC00657, microRNA (miR)-30c-5p and Wnt family member 7B (Wnt7b) were measured by quantitative real-time polymerase chain reaction or western blot. The expression levels of proteins in Wnt7b/ß-catenin pathway or endothelial-mesenchymal transition (EndMT) were detected by western blot. The secretion of inflammatory cytokine was examined by enzyme linked immunosorbent assay (ELISA). Cell viability and apoptosis were determined by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazolium bromide, flow cytometry, and western blot. The target association of miR-30c-5p and LINC00657/Wnt7b was analyzed via dual-luciferase reporter assay and RNA pull-down assay. LINC00657 expression was increased in AS serum and ox-LDL-treated HUVEC cells. LINC00657 knockdown suppressed ox-LDL-induced Wnt7b/ß-catenin activation, EndMT, inflammatory response, and apoptosis in HUVEC cells. MiR-30c-5p was bound to LINC00657 and it knockdown reversed the role of LINC00657 inhibition in ox-LDL-induced HUVEC cell injury. MiR-30c-5p targeted Wnt7b to inhibit ox-LDL-induced Wnt7b/ß-catenin activation, EndMT, inflammatory response, and apoptosis in HUVEC cells. Silence of LINC00657 repressed ox-LDL-induced injury via inhibiting EndMT, inflammatory response, and apoptosis in HUVEC cells by regulating miR-30c-5p/Wnt7b/ß-catenin, indicating a potential target for treatment of AS.

Nbr1-regulated autophagy in Lactoferrin-induced osteoblastic differentiation.

The molecular mechanism of autophagy in Lactoferrin (LF) induced osteoblast differentiation is not fully demonstrated. In this study, alkaline phosphatase (ALP) activity, alizarin red S staining and ELISA were used to study N-terminal propeptide of type I procollagen (PINP) expression. mRFP-GFP-LC3 adenoviruses, mono-dansylcadaverine (MDC) staining, scanning electron microscopy, and western blot analysis was employed to probe the LF induced autophagy. The interaction between autophagy receptor Neighbor of Brca1 gene (Nbr1) and pp38 was studied. 3-methyladenine (3-MA) and chloroquine (CQ) could inhibit the activity of ALP, PINP and the autophagy in LF group. LF treatment could up-regulate and down-regulate the expressions of pp38 and Nbr1with a dose-dependent manner, respectively. LF could inhibit the recognition of pp38 and Nbr1. In addition, LF can prompt Nbr1-medicated autophagy and prevent pp38 degradation by autophagy. LF can induce Nbr1-mediated autophagy and inhibit pp38 entering into autophagy flux in the physiological process of osteoblast differentiation.Abbreviations: CQ:chloroquine；LF: Lactoferrin; 3-MA: 3-methyladenine; ALP: Alkaline phosphatase; ANOVA: Analysis of variance; CCK-8: Cell Counting Kit-8; LC3: Microtubule-associated protein light chain3; MDC: Monodansylcadaverine; Nbr1: neighbor of Brca1 gene; PINP: N-terminal propeptide of type I procollagen; PVDF: Polychlorotrifluoroethylene; pp38: phosphorylation p38; RAPA: Rapamycin; SDS: sodium dodecyl sulfate.

IL-17A regulates the autophagic activity of osteoclast precursors through RANKL-JNK1 signaling during osteoclastogenesis in vitro.

Interleukin-17A(IL-17A), a proinflammatory cytokine, may have effects on osteoclastic resorption in inflammation-mediated bone loss, including postmenopausal osteoporosis. IL-17A could alter autophagic activity among other tissues and cells, thereby causing corresponding lesions. The aim of this study was to clarify how IL-17A influenced osteoclastogenesis by regulating autophagy. The present study showed that IL-17A could facilitate osteoclast precursors (OCPs) autophagy and osteoclastogenesis at a low concentration. Furthermore, suppression of autophagy with chloroquine (CQ) or 3-MA could significantly attenuate the enhanced osteoclastogenesis by a low level of IL-17A. It was also found that a low level of IL-17A couldn't up-regulate OCPs autophagy after removal of RANKL(Receptor Activator for Nuclear Factor-κB Ligand), and JNK(c-Jun N-terminal kinase) inhibitor only inhibited autophagy at a low level of IL-17A. These results suggest that a low concentration of IL-17A is likely to promote autophagic activity via activating RANKL-JNK pathway during osteoclastogenesis.

Role of Inflammation in the Development of COVID-19 to Parkinson's Disease.

Background: The coronavirus disease 2019 (COVID-19) can lead to neurological symptoms such as headaches, confusion, seizures, hearing loss, and loss of smell. The link between COVID-19 and Parkinson's disease (PD) is being investigated, but more research is needed for a definitive connection. Methods: Datasets GSE22491 and GSE164805 were selected to screen differentially expressed gene (DEG), and immune infiltration and gene set enrichment analysis (GSEA) of the DEG were performed. WGCNA analyzed the DEG and selected the intersection genes. Potential biological functions and signaling pathways were determined, and diagnostic genes were further screened using gene expression and receiver operating characteristic (ROC) curves. Screening and molecular docking of ibuprofen as a therapeutic target. The effectiveness of ibuprofen was verified by constructing a PD model in vitro, and constructing "COVID19-PD" signaling pathway, and exploring the role of angiotensin-converting enzyme 2 (ACE2) in PD. Results: A total of 13 DEG were screened from the GSE36980 and GSE5281 datasets. Kyoto encyclopedia of genes and genomes (KEGG) analysis showed that the DEG were mainly associated with the hypoxia-inducible factor (HIF-1), epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor resistance, etc. After analysis, it is found that ibuprofen alleviates PD symptoms by inhibiting the expression of nuclear factor kappa-B (NF-κB), interleukin-1ß (IL-1ß), IL-6, and tumor necrosis factor-α (TNF-α). Based on signal pathway construction, the importance of ACE2 in COVID-19-induced PD has been identified. ACE2 is found to have widespread distribution in the brain. In the 1-methyl-4-phenyl-1,2,3,6-te-trahydropyridine (MPTP)-induced ACE2-null PD mice model, more severe motor and non-motor symptoms, increased NF-κB p65 and α-synuclein (α-syn) expression with significant aggregation, decreased tyrosine hydroxylase (TH), severe neuronal loss, and neurodegenerative disorders. Conclusion: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection increases the risk of PD through an inflammatory environment and downregulation of ACE2, providing evidence for the molecular mechanism and targeted therapy associated with COVID-19 and PD.

Plasma metabolomic profile in orthostatic intolerance children with high levels of plasma homocysteine.

BACKGROUND: Orthostatic intolerance, which includes vasovagal syncope and postural orthostatic tachycardia syndrome, is common in children and adolescents. Elevated plasma homocysteine levels might participate in the pathogenesis of orthostatic intolerance. This study was designed to analyze the plasma metabolomic profile in orthostatic intolerance children with high levels of plasma homocysteine. METHODS: Plasma samples from 34 orthostatic intolerance children with a plasma homocysteine concentration > 9 µmol/L and 10 healthy children were subjected to ultra-high-pressure liquid chromatography and quadrupole-time-of-flight mass spectrometry analysis. RESULTS: A total of 875 metabolites were identified, 105 of which were significantly differential metabolites. Choline, 1-stearoyl-2-linoleoyl-sn-glycero-3-phosphocholine, 1-(1Z-octadecenyl)-2-(4Z,7Z,10Z,13Z,16Z,19Z-docosahexaenoyl)-sn-glycero-3-phosphocholine, histidine, isocitric acid, and DL-glutamic acid and its downstream metabolites were upregulated, whereas 1-palmitoyl-sn-glycero-3-phosphocholine, 1-stearoyl-sn-glycerol 3-phosphocholine, sphingomyelin (d18:1/18:0), betaine aldehyde, hydroxyproline, and gamma-aminobutyric acid were downregulated in the orthostatic intolerance group compared with the control group. All these metabolites were related to choline and glutamate. Heatmap analysis demonstrated a common metabolic pattern of higher choline, 1-stearoyl-2-linoleoyl-sn-glycero-3-phosphocholine, and DL-glutamic acid, and lower sphingomyelin (d18:1/18:0), 1-stearoyl-sn-glycerol 3-phosphocholine, and 1-palmitoyl-sn-glycero-3-phosphocholine in patients with certain notable metabolic changes (the special group) than in the other patients (the common group). The maximum upright heart rate, the change in heart rate from the supine to the upright position, and the rate of change in heart rate from the supine to the upright position of vasovagal syncope patients were significantly higher in the special group than in the common group (P < 0.05). Choline, 1-stearoyl-2-linoleoyl-sn-glycero-3-phosphocholine, and DL-glutamic acid were positively correlated with the rate of change in heart rate from the supine to the upright position in vasovagal syncope patients (P < 0.05). CONCLUSIONS: The levels of choline-related metabolites and glutamate-related metabolites changed significantly in orthostatic intolerance children with high levels of plasma homocysteine, and these changes were associated with the severity of illness. These results provided new light on the pathogenesis of orthostatic intolerance.

A study on identifying synergistic prevention and control regions for PM2.5 and O3 and exploring their spatiotemporal dynamic in China.

Air pollutants, notably ozone (O3) and fine particulate matter (PM2.5) give rise to evident adverse impacts on public health and the ecotope, prompting extensive global apprehension. Though PM2.5 has been effectively mitigated in China, O3 has been emerging as a primary pollutant, especially in summer. Currently, alleviating PM2.5 and O3 synergistically faces huge challenges. The synergistic prevention and control (SPC) regions of PM2.5 and O3 and their spatiotemporal patterns were still unclear. To address the above issues, this study utilized ground monitoring station data, meteorological data, and auxiliary data to predict the China High-Resolution O3 Dataset (CHROD) via a two-stage model. Furthermore, SPC regions were identified based on a spatial overlay analysis using a Geographic Information System (GIS). The standard deviation ellipse was employed to investigate the spatiotemporal dynamic characteristics of SPC regions. Some outcomes were obtained. The two-stage model significantly improved the accuracy of O3 concentration prediction with acceptable R2 (0.86), and our CHROD presented higher spatiotemporal resolution compared with existing products. SPC regions exhibited significant spatiotemporal variations during the Blue Sky Protection Campaign (BSPC) in China. SPC regions were dominant in spring and autumn, and O3-controlled and PM2.5-dominated zones were detected in summer and winter, respectively. SPC regions were primarily located in the northwest, north, east, and central regions of China, specifically in the Beijing-Tianjin-Hebei urban agglomeration (BTH), Shanxi, Shaanxi, Shandong, Henan, Jiangsu, Xinjiang, and Anhui provinces. The gravity center of SPC regions was distributed in the BTH in winter, and in Xinjiang during spring, summer, and autumn. This study can supply scientific references for the collaborative management of PM2.5 and O3.

Clinical biomarker profiles reveals gender differences and mortality factors in sepsis.

Background: Sepsis is a major contributor to global morbidity and mortality, affecting millions each year. Notwithstanding the decline in sepsis incidence and mortality over decades, gender disparities in sepsis outcomes persist, with research suggesting higher mortality rates in males. Methods: This retrospective study aims to delineate gender-specific clinical biomarker profiles impacting sepsis progression and mortality by examining sepsis cases and related clinical data from the past three years. Propensity score matching was used to select age-matched healthy controls for comparison. Results: Among 265 sepsis patients, a significantly higher proportion were male (60.8%, P<0.001). While mortality did not significantly differ by gender, deceased patients were significantly older (mean 69 vs 43 years, P=0.003), more likely to have hypertension (54% vs 25%, P=0.019), and had higher SOFA scores (mean ~10 vs 4, P<0.01) compared to survivors. Principal Component Analysis (PCA) showed clear separation between sepsis patients and healthy controls. 48 serum biomarkers were significantly altered in sepsis, with Triiodothyronine, Apolipoprotein A, and Serum cystatin C having the highest diagnostic value by ROC analysis. Gender-stratified comparisons identified male-specific (e.g. AFP, HDLC) and female-specific (e.g. Rheumatoid factor, Interleukin-6) diagnostic biomarkers. Deceased patients significantly differed from survivors, with 22 differentially expressed markers; Antithrombin, Prealbumin, HDL cholesterol, Urea nitrogen and Hydroxybutyrate had the highest diagnostic efficiency for mortality. Conclusion: These findings enhance our understanding of gender disparities in sepsis and may guide future therapeutic strategies. Further research is warranted to validate these biomarker profiles and investigate the molecular mechanisms underlying these gender differences in sepsis outcomes.

IL-17A inhibits the degradation of RANKL in osteoblasts by inhibiting BCL2-Beclin1-autophagy signaling.

The inflammatory cytokine IL-17A is known to have the capacity to promote osteoclastogenesis, thereby enhancing bone loss. Moreover, IL-17A can promote the expression of RANKL in osteoblasts, contributing to its pro-osteoclastogenic effect. IL-17A is an autophagy regulator, which is also responsible for its regulation on RANKL expression. However, the specific role of autophagy in IL-17A-regulated RANKL expression and the underlying mechanism of IL-17A-regulated osteoblast autophagy remain unclear. IL-17A is known to inhibit autophagy by preventing BCL2 degradation. This study aimed to explore the significance of BCL2-dependent autophagy in IL-17A-regulated RANKL expression. Our results showed that IL-17A at 50 ng/mL could inhibit autophagic activity and promote RANKL protein expression in MC3T3-E1 osteoblast line. Moreover, the corresponding concentration of IL-17A could enhance BCL2 protein expression and the protein interaction between BCL2 and Beclin1 in MC3T3-E1 cells. However, the protein expression of RANKL and BCL2 promoted by 50 ng/mL of IL-17A was blocked by autophagy activation with Beclin1 pharmacological upregulation. Furthermore, RANKL protein expression promoted by 50 ng/mL of IL-17A was also reversed by autophagy activation with BCL2 knockdown. Importantly, the supernatant from osteoblasts treated with 50 ng/mL of IL-17A made osteoclast precursors (OCPs) form larger osteoclasts, which was reversed by BCL2 knockdown in osteoblasts. In conclusion, high levels of IL-17A prevent the degradation of RANKL by inhibiting BCL2-Beclin1-autophagy activation signal transduction in osteoblasts, thereby indirectly promoting osteoclastogenesis.

Platelet, a key regulator of innate and adaptive immunity.

Platelets, anucleate blood components, represent the major cell type involved in the regulation of hemostasis and thrombosis. In addition to performing haemostatic roles, platelets can influence both innate and adaptive immune responses. In this review, we summarize the development of platelets and their functions in hemostasis. We also discuss the interactions between platelet products and innate or adaptive immune cells, including neutrophils, monocytes, macrophages, T cells, B cells and dendritic cells. Activated platelets and released molecules regulate the differentiation and function of these cells via platelet-derived receptors or secreting molecules. Platelets have dual effects on nearly all immune cells. Understanding the exact mechanisms underlying these effects will enable further application of platelet transfusion.