Introduction: Caffeine use disorder (CUD), a problematic caffeine use pattern, is yet to be recognized under DSM-5 and is under consideration for further research. This study aimed to determine if the sex, employment status, and smoking status of Quezon City residents aged 18 years old and above are associated with CUD, and to determine the mean daily caffeine consumption (MDCC) of caffeinated products and the proportion of individuals meeting the CUD criteria. Methods: A total of 334 respondents accomplished the online survey that collected socio-demographic information and evaluated CUD using an 8-point Caffeine Consumption Questionnaire (CCQ). Results: The study population was mostly composed of females, unemployed, and non-smokers. Results showed that 17% of respondents have CUD, that brewed coffee was most consumed daily, the MDCC of the study population was 158.31 mg; and females were at an increased risk for CUD, while nonsmokers and unemployed individuals were at reduced risk. Conclusion The proportion of Quezon city residents that have CUD is at 17%, consuming an average of 158.31 mg of coffee daily, with brewed coffee being consumed most. Female residents are at an increased risk of having CUD, while nonsmokers and unemployed individuals are at a decreased risk.
Caffeine ; Coffee ; Cross-Sectional Studies ; Diagnostic and Statistical Manual of Mental Disorders

Objective To identify the possibility of IgG Fc binding protein (FCGBP) acting as a prognostic marker of low-grade glioma (LGG) and its correlation with immune infiltration. Methods The expression of FCGBP was analyzed in pan-cancer using The Cancer Genome Atlas (TCGA), Genotypic tissue expression (GTEX), and China Glioma Genome Atlas (CGGA) database. Then, GSE15824 and GSE68848 datasets were selected for further verification. And gene expression Profile Interaction analysis (GEPIA) database and R language were used to analyze the relationship between FCGBP and survival prognosis. Metascape and GSEA were used for functional annotation and enrichment analysis. Finally, the expression of FCGBP gene in LGG immune microenvironment and its correlation with immune cells were analyzed by TIMER database. Results FCGBP was highly expressed in LGG tissues, indicating poor prognosis of LGG patients. Receiver operating characteristic (ROC) curve analysis and COX analysis showed that FCGBP was an independent risk factor for the prognosis of LGG. Moreover, Gene Ontology (GO) demonstrated that FCGBP was involved in cell metabolism, localization, positive, and negative regulation of biological processes, as well as biological adhesion, response to viral and microbial stimulation, and inflammation. GSEA pathway enrichment analysis showed that FCGBP was significantly correlated with Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway, Toll-like receptor (TLR) pathway, chemokine pathway, and P53 pathway. In addition, FCGBP expression was positively correlated with the expression of most immune cells in the immune microenvironment of LGG. Conclusion The high expression of FCGBP in LGG is a risk factor for survival and prognosis, and it is positively correlated with the expression of immune cells.
Humans ; Prognosis ; Glioma/genetics* ; China ; Gene Ontology ; Immunoglobulin G ; Tumor Microenvironment ; Cell Adhesion Molecules

Proteomic tools were used to identify the key proteins that might be associated with bronchial asthma(BA). Firstly, the serum samples from healthy adults and asthmatic patients were collected. Tandem Mass Tag~(TM)(TMT), which removes high-abundance structures and nonspecific proteins, was employed to identify the differentially expressed proteins between asthmatic patients and healthy adults. Gene Ontology(GO) annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were carried out for the differentially expressed proteins. The core proteins in the asthma group were screened out by protein-protein interaction(PPI) analysis. Then the core proteins were verified by Western blot for 3 patients with bronchial asthma and 3 healthy adults. A total of 778 differentially expressed proteins were screened out, among which 32 proteins contained quantitative information, including 18 up-regulated proteins and 14 down-regulated proteins. The differentially expressed proteins were enriched in 28 KEGG signaling pathways. The PPI analysis showed that 10 proteins(GDN, 1433 Z, VWF, HEMO, CERU, A1 AT, TSP1, G3 P, IBP7, and KPYM) might be involved in the pathogenesis of bronchial asthma. Compared with those in healthy adults, the expression levels of SLC25 A4, SVEP1, and KRT25 in the sera of asthmatic patients were up-regulated(P<0.05). Therefore, it is hypothesized that a variety of immune signaling pathways and differentially expressed proteins play a role in the pathogenesis of BA, which provides potential target information for the treatment of BA.
Adult ; Humans ; Proteomics ; Gene Ontology ; Proteins ; Disease Susceptibility ; Asthma/genetics*

OBJECTIVE: To screen differentially expressed gene (DEG) related to myelodysplastic syndrome (MDS) based on Gene Expression Omnibus (GEO) database, and explore the core genes and pathogenesis of MDS by analyzing the biological functions and related signaling pathways of DEG. METHODS: The expression profiles of GSE4619, GSE19429, GSE58831 including MDS patients and normal controls were downloaded from GEO database. The gene expression analysis tool (GEO2R) of GEO database was used to screen DEG according to | log FC (fold change) |≥1 and P<0.01. David online database was used to annotate gene ontology function (GO). Metascape online database was used to enrich and analyze differential genes in Kyoto Encyclopedia of Genes and Genomes (KEGG). The protein-protein interaction network (PPI) was constructed by using STRING database. CytoHubba and Mcode plug-ins of Cytoscape were used to analyze the key gene clusters and hub genes. R language was used to diagnose hub genes and draw the ROC curve. GSEA enrichment analysis was performed on GSE19429 according to the expression of LEF1. RESULTS: A total of 74 co-DEG were identified, including 14 up-regulated genes and 60 down regulated genes. GO enrichment analysis indicated that BP of down regulated genes was mainly enriched in the transcription and regulation of RNA polymerase II promoter, negative regulation of cell proliferation, and immune response. CC of down regulated genes was mainly enriched in the nucleus, transcription factor complexes, and adhesion spots. MF was mainly enriched in protein binding, DNA binding, and β-catenin binding. KEGG pathway was enriched in primary immunodeficiency, Hippo signaling pathway, cAMP signaling pathway, transcriptional mis-regulation in cancer and hematopoietic cell lineage. BP of up-regulated genes was mainly enriched in type I interferon signaling pathway and viral response. CC was mainly enriched in cytoplasm. MF was mainly enriched in RNA binding. Ten hub genes and three important gene clusters were screened by STRING database and Cytoscape software. The functions of the three key gene clusters were closely related to immune regulation. ROC analysis showed that the hub genes had a good diagnostic significance for MDS. GSEA analysis indicated that LEF1 may affect the normal function of hematopoietic stem cells by regulating inflammatory reaction, which further revealed the pathogenesis of MDS. CONCLUSION Bioinformatics can effectively screen the core genes and key signaling pathways of MDS, which provides a new strategy for the diagnosis and treatment of MDS.
Computational Biology ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Gene Ontology ; Humans ; Myelodysplastic Syndromes/genetics*

Disabled Persons/rehabilitation* ; Humans ; International Classification of Diseases ; International Classification of Functioning, Disability and Health

This study explored the anticoagulant material basis and mechanism of Trichosanthis Semen and its shell and kernel based on spectrum-effect relationship-integrated molecular docking. High performance liquid chromatography(HPLC) fingerprints of Trichosanthis Semen and its shell and kernel were established. Prothrombin time(PT) and activated partial thromboplastin time(APTT) in mice in the low-and high-dose(5, 30 g·kg~(-1), respectively) Trichosanthis Semen, the shell, and kernel groups were determined as the coagulation markers. The spectrum-effect relationship and anticoagulant material basis of Trichosanthis Semen and its shell and kernel were analyzed with mean value calculation method of Deng's correlation degree(MATLAB) and the common effective component cluster was obtained. Then the common targets of the component cluster and coagulation were retrieved from TCMSP, Swiss-TargetPrediction, GenCLiP3, GeneCards, and DAVID, followed by Gene Ontology(GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment of the targets. The main anticoagulant molecular mechanism of the component cluster was verified by SYBYL-X 2.1.1. The spectrum-effect relationship of Trichosanthis Semen and its shell and kernel was in positive correlation with the dosage. The contribution of each component to anticoagulation was not the same, suggesting that the material basis for anticoagulation was different, but they have common effective components(i.e. common material basis), such as adenine(peak 3), uracil(peak 4), hypoxanthine(peak 6), xanthine(peak 9), and adenosine(peak 11). Network pharmacology showed that these components can act on multiple target proteins such as NOS3, KDR, and PTGS2, and exert anticoagulant effect through multiple pathways such as VEGF signaling pathway. They involved the biological functions such as proteolysis, cell component such as cytosol, and molecular functions. The results of molecular docking showed that the binding free energy of these components with NOS3(PDB ID: 1 D0 C), KDR(PDB ID: 5 AMN), and PTGS2(PDB ID: 4 COX) was ≤-5 kJ·mol~(-1), and the docking conformations were stable. Spectrum-effect relationship-integrated molecular docking can be used for the optimization, virtual screening, and verification of complex chemical and biological information of Chinese medicine. Trichosanthis Semen and its shell and kernel have the common material basis for anticoagulation and they exert the anticoagulant through multiple targets and pathways.
Animals ; Anticoagulants/pharmacology* ; Drugs, Chinese Herbal/pharmacology* ; Gene Ontology ; Mice ; Molecular Docking Simulation ; Semen

PURPOSE: The reliability of trauma coding is essential in establishing the reliable trauma data and adopting efficient control and monitoring policies. The present study aimed to determine the reliability of trauma coding in educational hospitals affiliated to Shahid Beheshti University of Medical Sciences, Iran. METHODS: In this descriptive cross-sectional study, 591 coded medical records with a trauma diagnosis in 2018 were selected and recoded by two coders. The reliability of trauma coding was calculated using Cohen's kappa. The data were recorded in a checklist, in which the validity of the content had been confirmed by experts. RESULTS: The reliability of the coding related to the nature of trauma in research units was 0.75-0.77, indicating moderate reliability. Also, the reliability of the coding of external causes of trauma was 0.57-0.58, suggesting poor reliability. CONCLUSION The reliability of trauma coding both in terms of the nature of trauma and the external causes of trauma does not have a good status in the research units. This can be due to the complex coding of trauma, poor documentation of the cases, and not studying the entire case. Therefore, holding training courses for coders, offering training on the accurate documentation to other service providers, and periodically auditing the medical coding are recommended.
Cross-Sectional Studies ; Hospitals, Teaching ; Humans ; International Classification of Diseases ; Medical Records ; Reproducibility of Results

BACKGROUND: Age-related macular degeneration (AMD) is the leading cause of vision loss worldwide. However, the mechanisms involved in the development and progression of AMD are poorly delineated. We aimed to explore the critical genes involved in the progression of AMD. METHODS: The differentially expressed genes (DEGs) in AMD retinal pigment epithelial (RPE)/choroid tissues were identified using the microarray datasets GSE99248 and GSE125564, which were downloaded from the gene expression omnibus database. The overlapping DEGs from the two datasets were screened to identify DEG-related biological pathways using gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. The hub genes were identified from these DEGs through protein-protein interaction network analyses. The expression levels of hub genes were evaluated by quantitative real-time polymerase chain reaction following the induction of senescence in ARPE-19 with FK866. Following the identification of AMD-related key genes, the potential small molecule compounds targeting the key genes were predicted by PharmacoDB. Finally, a microRNA-gene interaction network was constructed. RESULTS: Microarray analyses identified 174 DEGs in the AMD RPE compared to the healthy RPE samples. These DEGs were primarily enriched in the pathways involved in the regulation of DNA replication, cell cycle, and proteasome-mediated protein polyubiquitination. Among the top ten hub genes, HSP90AA1, CHEK1, PSMA4, PSMD4, and PSMD8 were upregulated in the senescent ARPE-19 cells. Additionally, the drugs targeting HSP90AA1, CHEK1, and PSMA4 were identified. We hypothesize that Hsa-miR-16-5p might target four out of the five key DEGs in the AMD RPE. CONCLUSIONS Based on our findings, HSP90AA1 is likely to be a central gene controlling the DNA replication and proteasome-mediated polyubiquitination during the RPE senescence observed in the progression of AMD. Targeting HSP90AA1, CHEK1, PSMA4, PSMD4, and/or PSMD8 genes through specific miRNAs or small molecules might potentially alleviate the progression of AMD through attenuating RPE senescence.
DNA Replication ; Gene Expression Profiling ; Gene Ontology ; Humans ; Macular Degeneration/genetics* ; Proteasome Endopeptidase Complex

This study aims to predict the material basis and mechanism of Dachengqi Decoction in the treatment of sepsis based on network pharmacology. The chemical constituents and targets of Dachengqi Decoction were retrieved from TCMSP, UniPot and DrugBank and the targets for the treatment of sepsis from OMIM and GeneCards. The potential targets of Dachengqi Decoction for the treatment of sepsis were screened by OmicShare. STRING database and Cytoscape 3.7.2 were used to construct the Chinese medicinal-active component-target-disease, active component-key target-key pathway, and protein-protein interaction(PPT) networks. The gene ontology(GO) term enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG) pathway enrichment analysis were performed by DAVID(P<0.05). Finally, the animal experiment was conducted to verify some targets and pathways. A total of 40 active components and 157 targets of the Dachengqi Decoction, 2 407 targets for the treatment of sepsis, and 91 common targets of the prescription and the disease were also obtained. The key targets were prostaglandin G/H synthase 2(PTGS2), prostaglandin G/H synthase 1(PTGS1), protein kinase cAMP-dependent catalytic-α(PRKACA), coagulation factor 2 receptor(F2 R), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic gamma subunit(PIK3 CG), dipeptidyl peptidase 4(DPP4), etc. A total of 533 terms and 125 pathways were obtained for the 91 targets. The main terms were the response to drug, negative regulation of apoptotic process, positive regulation of nitric oxide biosynthetic process and lipopolysaccharide-mediated signaling pathway, and the pathways included pathways in cancer, hepatitis B, and phosphatidylinositol 3-kinase and protein kinase B(PI3 K/Akt) signaling pathway. The animal experiment confirmed that Dachengqi Decoction can down-regulate inflammatory cytokines interleukin-1β(IL-1β), IL-6 and tumor necrosis factor α(TNF-α)(P<0.01). It could also reduce the wet/dry weight ratio of lung tissue, the level of myeloperoxidase(MPO) and the phosphorylation of PI3 K and Akt(P<0.01). These results indicated that Dchengqi Decoction could act on inflammation-related targets and improve sepsis by inhibiting PI3 K/Akt signaling pathway. The animal experiment supported the predictions of network pharmacology. Dachengqi Decoction intervenes sepsis via multiple components, multiple targets, and multiple pathways. The result lays a foundation for further research on the mechanism of Dachengqi Decoction in the treatment of sepsis.
Animals ; Drugs, Chinese Herbal ; Gene Ontology ; Plant Extracts ; Sepsis/genetics*

Microarray data of hippocampal tissue(HC) of the cognitively intact elderly(60-99 years old) were compared with those of the middle-aged and the young(20-59 years old) by bioinformatics techniques to initially screen out differentially expressed genes(DEGs) and then predict potential effective Chinese medicinals for the treatment of brain aging. The gene expression profile(accession: GSE11882) was downloaded from the Gene Expression Omnibus(GEO) and DEGs were screened based on R package. The key DEGs were identified by STRING, Cytoscape and the plug-in, followed by Gene Ontology(GO) term and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis. Then the key genes and the medical ontology information retrieval platform(Coremine Medical) were mapped against each other to single out the Chinese medicinals for the treatment of brain aging and construct the " Chinese medicinal-active constituent-target" network. Among the resultant 268 DEGs(246 down-regulated and 22 up-regulated), the 15 key genes were mainly involved in biological processes such as leukocyte migration, neutrophil activation, cell chemotaxis, microglia activation and response to external stimulus, and pathways such as inflammatory process, immune response, cytokine-cytokine receptor interaction, PI3 K-Akt signaling pathway, Rap1 signaling pathway, chemokine signaling pathway and Toll-like receptor signaling pathway. The potential effective Chinese medicinals were Notoginseng Radix et Rhizoma, Ginseng Radix et Rhizoma, Salviae Miltiorrhizae Radix et Rhizoma and Astragali Radix. The analysis of DEGs and key genes enhances the understanding of the mechanisms of brain aging. This study provides potential gene targets and ideas for the development of Chinese medicine for brain aging.
Adult ; Aged ; Aged, 80 and over ; Brain ; China ; Computational Biology ; Gene Expression Profiling ; Gene Ontology ; Humans ; Middle Aged ; Transcriptome ; Young Adult