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

The condition of critically ill patients changes rapidly, involving pathological changes in multiple systems and organs throughout the body. Exploring the causal relationship of mechanisms can further reveal etiology, treatment, and prognosis of diseases. However, traditional prospective studies in the field of critical care are still subject to numerous limitations. As an emerging research method, Mendelian randomization (MR) analysis uses genetic variation to provide causal evidence for instrumental variables, which is expected to provide clues in critical diseases. This article systematically describes the research progresson the application of MR analysis in critical care medicine from four aspects: the principle of MR analysis, the difference between MR analysis and randomized controlled trial (RCT), the use of MR analysis in the field of critical illness, and the possible methods of application, aiming to provide possible directions for the research in this field.
Humans ; Mendelian Randomization Analysis/methods* ; Genetic Variation ; Causality ; Research Design

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*

Mendelian randomization is a causal inference method using genetic variations as instrumental variables, which skillfully takes advantages of the distributive randomness and timing priority of genetic variation, effectively avoiding confounding biases and reverse causalities in traditional observational researches. It has become a research hotspot in recent years. As a complex inflammatory disease, periodontitis is associated with many factors, but the cognitions about these associations are mostly based on traditional observational studies, lacking strong evidences to infer the causality. In order to bring up new research ideas in the periodontal field, this article mainly reviewed Mendelian randomization and its research progress in periodontitis.
Humans ; Mendelian Randomization Analysis ; Causality ; Periodontitis ; Research Design ; Genetic Variation

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*

Branchio-oto syndrome (BOS)/branchio-oto-renal syndrome (BORS) is a kind of autosomal dominant heterogeneous disorder. These diseases are mainly characterized by hearing impairment and abnormal phenotype of ears, accompanied by renal malformation and branchial cleft anomalies including cyst or fistula, with an incidence of 1/40 000 in human population. Otic anormalies are one of the most obvious clinical manifestations of BOS/BORS, including deformities of external, middle, inner ears and hearing loss with conductive, sensorineural or mix, ranging from mild to profound loss. Temporal bone imaging could assist in the diagnosis of middle ear and inner ear malformations for clinicians. Multiple methods including direct sequencing combined with next generation sequencing (NGS), multiplex ligation-dependent probe amplification (MLPA), or array-based comparative genomic hybridization (aCGH) can effectively screen and identify pathogenic genes and/or variation types of BOS/BORS. About 40% of patients with BOS/BORS carry aberrations of EYA1 gene which is the most important cause of BOS/BORS. A total of 240 kinds of pathogenic variations of EYA1 have been reported in different populations so far, including frameshift, nonsense, missense, aberrant splicing, deletion and complex rearrangements. Human Endogenous Retroviral sequences (HERVs) may play an important role in mediating EYA1 chromosomal fragment deletion mutations caused by non-allelic homologous recombination. EYA1 encodes a phosphatase-transactivator cooperated with transcription factors of SIX1, participates in cranial sensory neurogenesis and development of branchial arch-derived organs, then regulates the morphological and functional differentiation of the outer ear, middle ear and inner ear toward normal tissues. In addition, pathogenic mutations of SIX1 and SIX5 genes can also cause BOS/BORS. Variations of these genes mentioned above may cause disease by destroying the bindings between SIX1-EYA1, SIX5-EYA1 or SIX1-DNA. However, the role of SIX5 gene in the pathogenesis of BORS needs further verification.
Branchio-Oto-Renal Syndrome/pathology* ; Chromosome Deletion ; Comparative Genomic Hybridization ; Genetic Research ; Homeodomain Proteins/genetics* ; Humans ; Intracellular Signaling Peptides and Proteins ; Nuclear Proteins/metabolism* ; Pedigree ; Protein Tyrosine Phosphatases/metabolism*

Pharmacogenetic studies are designed to investigate the associations between genetic variation and treatment response for a particular drug in terms of both efficacy and adverse events and have high sample size requirements. To improve the quality of pharmacogenetic studies and facilitate the Meta-analyses to investigate statistically significant associations, Strengthening the Reporting of Pharmacogenetic Studies (STROPS) guideline was developed in 2020 based on the Strengthening the Reporting of Genetic Association Studies (STREGA) statement. The objective of this article is to present a brief introduction to the STROPS guideline and an interpretation of the key points in some items with examples for the better understanding and application.
Genetic Association Studies ; Humans ; Pharmacogenomic Testing ; Research Report

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

Autism spectrum disorder (ASD) is a set of neurodevelopmental disorders. Patients usually exhibit certain degree of social interaction impairment in accompany with impairment in language development as well as repetitive behaviors or interests. In recent years, ASD-related variants, genes, functional pathways, and expression patterns in the brain have been discovered, along with advance in sequencing techniques. This article reviews various aspects of genetic research in association with ASD.
Autism Spectrum Disorder/genetics* ; Cognition ; Genetic Research ; Humans ; Neurodevelopmental Disorders

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