Unraveling the intricacies of glioblastoma progression and recurrence: insights into the role of NFYB and oxidative phosphorylation at the single-cell level.

Background: Glioblastoma (GBM), with its high recurrence and mortality rates, makes it the deadliest neurological malignancy. Oxidative phosphorylation is a highly active cellular pathway in GBM, and NFYB is a tumor-associated transcription factor. Both are related to mitochondrial function, but studies on their relationship with GBM at the single-cell level are still scarce. Methods: We re-analyzed the single-cell profiles of GBM from patients with different subtypes by single-cell transcriptomic analysis and further subdivided the large population of Glioma cells into different subpopulations, explored the interrelationships and active pathways among cell stages and clinical subtypes of the populations, and investigated the relationship between the transcription factor NFYB of the key subpopulations and GBM, searching for the prognostic genes of GBM related to NFYB, and verified by experiments. Results: Glioma cells and their C5 subpopulation had the highest percentage of G2M staging and rGBM, which we hypothesized might be related to the higher dividing and proliferating ability of both Glioma and C5 subpopulations. Oxidative phosphorylation pathway activity is elevated in both the Glioma and C5 subgroup, and NFYB is a key transcription factor for the C5 subgroup, suggesting its possible involvement in GBM proliferation and recurrence, and its close association with mitochondrial function. We also identified 13 prognostic genes associated with NFYB, of which MEM60 may cause GBM patients to have a poor prognosis by promoting GBM proliferation and drug resistance. Knockdown of the NFYB was found to contribute to the inhibition of proliferation, invasion, and migration of GBM cells. Conclusion: These findings help to elucidate the key mechanisms of mitochondrial function in GBM progression and recurrence, and to establish a new prognostic model and therapeutic target based on NFYB.

Regulation of oxygen-glucose deprivation/reperfusion-induced inflammatory responses and M1-M2 phenotype switch of BV2 microglia by lobetyolin.

To elucidate the protective mechanism of lobetyolin on oxygen-glucose deprivation/reperfusion (OGD/R)-induced damage in BV2 microglial cells. The OGD/R model was established using a chemical modeling method to simulate in vivo brain ischemia in lobetyolin-pretreated BV2 cells. The optimum lobetyolin dosage, chemical concentration, and OGD/R modeling duration were screened. The changes in cell morphology were observed, and the levels of immune response-related factors, including tumor necrosis factor-α (TNF-α), interleukin-6, inducible nitric oxide synthase (iNOS), and cluster of differentiation (CD)206, were detected using the enzyme-linked immunosorbent assay. The expression of chemokine-like-factor-1 (CKLF1), hypoxia-inducible factor (HIF)-1α, TNF-α, and CD206, was detected using western blotting. The gene expression of M1 and M2 BV2 phenotype markers was assessed using quantitative polymerase chain reaction (qPCR). The localization of M1 and M2 BV2 markers was detected using immunofluorescence analysis. The results showed that lobetyolin could protect BV2 cells from OGD/R-induced damage. After OGD/R, CKLF1/C-C chemokine receptor type 4 (CCR4) levels increased in BV2 cells, whereas the CKLF1/CCR4 level was decreased due to lobetyolin pretreatment. Additionally, BV2 cells injured with OGD/R tended to be M1 type, but lobetyolin treatment shifted the phenotype of BV2 cells from M1 type to M2 type. Lobetyolin decreased the expression of TNF-α and HIF-1α but increased the expression of transforming growth factor-ß (TGF-ß) in BV2 cells, indicating a dose-effect relationship. The qPCR results showed that lobetyolin decreased the expression of CD16, CD32, and iNOS at the gene level and increased the expression of C-C-chemokine ligand-22 and TGF-ß. The immunofluorescence analysis showed that lobetyolin decreased CD16/CD32 levels and increased CD206 levels. Lobetyolin can protect BV2 cells from OGD/R-induced damage by regulating the phenotypic polarization of BV2 and decreasing inflammatory responses. Additionally, CKLF1/CCR4 may participate in regulating lobetyolin-induced polarization of BV2 cells via the HIF-1α pathway.

Bioinformatic identification and analysis of immune-related chromatin regulatory genes as potential biomarkers in idiopathic pulmonary fibrosis.

Background: Idiopathic pulmonary fibrosis (IPF) is a disease with a very poor prognosis. The search for new IPF biomarkers is particularly urgent due to the uncertainty of the mechanisms and treatment. Studies have shown that chromatin regulators (CRs) are involved in the development of IPF and are associated with tumor immunity. However, there are no studies on immune-related CRs in IPF. Therefore, we conducted a systematic study to analyze the expression levels and immune correlation of CRs in IPF tissues and normal tissues and to explore their potential as diagnostic biomarkers. Methods: GSE53845, GSE179781 and GSE24206 datasets from Gene Expression Omnibus (GEO) database were merged into an integrated dataset as the training set; GSE70866 was used as the validation dataset. The cr-related differentially expressed genes (DEGs) between normal and IPF tissues were identified using the "Limma" software package. Weighted gene co-expression network analysis (WGCNA) was performed using the "WGCNA" package to screen eigengenes, which were intersected with DEGs to identify hub genes. The "ggcorrplot" package was used to analyze the correlation between hub genes and immunity, and immune-related hub genes were defined as immHub. A logistic regression model was constructed using immHub as the independent variable and whether the diagnosis was IPF as the dependent variable. Results: One hundred and sixty-nine DEGs were identified between IPF and normal tissues. wGCNA identified 3 key modules in brown, green and yellow genes that were present in all 3 modules and met module membership (MM) >0.8 and gene significance (GS) >0.5 were called signature genes (n=390). Four intersecting genes were obtained by intersecting DEGs with signature genes (PADI4, IGFBP7, GADD45A, and SETBP1) all associated with immunity were defined as immHub genes Logistic regression models were constructed based on immHub genes. The area under the curve (AUC) of the ROC curve is used to evaluate the diagnostic accuracy of the logistic regression model for IPF. The AUC in the ROC analysis was 0.771 for the training dataset, and 0.759 for the validation dataset. Conclusions: PADI4, IGFBP7 and GADD45A may be biomarkers for IPF, which will provide assistance in the diagnosis, treatment and prognostic assessment of IPF patients, and provide an important basis for future studies on the relationship between CRs genes and IPF.

Constructing and validating of m7G-related genes prognostic signature for hepatocellular carcinoma and immune infiltration: potential biomarkers for predicting the overall survival.

Background: To investigate the prognostic significance of N7-methylguanosine (m7G) regulators and immune infiltration in liver hepatocellular carcinoma (LIHC). Methods: The research measured predictive m7G genes in LIHC samples from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) datasets. Data on the stemness index based on mRNA expression (mRNAsi), gene mutations, and corresponding clinical characteristics were obtained from TCGA and ICGC. Lasso regression was used to construct the prediction model to assess the m7G prognostic signals in LIHC. Based on these genes, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to identify key biological functions and pathways. The correlation between m7G RNA methylation regulators and the prognosis and immune infiltration of LIHC was evaluated. Results: There were 21 m7G-related differentially expressed genes (DEGs) in LIHC and healthy tissues, and LIHC patients could be divided into two categories by consensus clustering of these DEGs. A five-gene predictive approach was employed using least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Patients in the low-risk group showed a significantly higher survival rate compared with those in the high-risk group (P=0.001). Validations using the ICGC database. Also, univariate and multivariate Cox regression analyses suggested that the risk score produced by the predictive model is an independent predictor for LIHC [hazard ratio (HR): 1.848, 95% confidence interval (CI): 1.286-2.656; HR: 2.597, 95% CI: 1.358-4.965]. The ROC curves of the ICGC cohort revealed that the five-gene prediction model performed well [area under the curve (AUC) =0.642 at 1 year, AUC =0.686 at 2 years, and AUC =0.667 at 3 years]. Immuno-oncology scoring revealed that in the high-risk group, among 16 immune cells, the expressions of neutrophils and natural killer (NK) cells were low and that of regulatory T-cells (Tregs) was high. Conclusions: LIHC occurrence and progression are linked to m7G-related genes. Corresponding prognostic models help forecast the prognosis of LIHC patients. m7G-related genes and associated immune cell infiltration in the TME may serve as potential therapeutic targets in LIHC, which requires further trials. In addition, the m7G-related gene signature offers a viable alternative to predict LIHC, and these m7G-related genes show a prospective research area for LIHC targeted treatment in the future.

Establishment and evaluation of a compound fear behavior model of Tourette's syndrome in rats.

BACKGROUND: Tourette syndrome (TS) is a common childhood disorder characterized by unwanted movements or vocal sounds called tics. It is often accompanied by other psychobehavioral disorders, including fearful behavior. The establishment and evaluation of rat models of TS and comorbid fear can provide an experimental basis for the treatment of TS and its comorbid fear disorder. METHODS: Sixteen rats were randomly divided into a model group (n=8) and control group (n=8). In the model group, rats were injected intraperitoneally with iminodipropionitrile (IDPN) for 1 week to establish the TS model, which was followed by acoustic and electrical stimulation for 3 weeks to establish the rat models of TS and comorbid fear. The control group received intraperitoneal injection of saline for 1 week, and no further intervention was given in the last 3 weeks. The behavioral changes of the rats were observed and analyzed by the open field test (OFT). Protein kinase A (PKA), cyclic adenosine monophosphate (cAMP), and dopamine (DA) were measured by enzyme-linked immunosorbent assay (ELISA), and tyrosine hydroxylase (TH) and microRNA-134 (miRNA-134) in the brain tissue were detected by using polymerase chain reaction (PCR). RESULTS: One rat in the model group died on the 24th day. Compared with the control group, the model group had significantly higher scores of locomotor activity, stereotyped behavior, and motor behavior, along with prolonged freezing time and significantly lower expression of miRNA-134. The differences in the expressions of PKA, cAMP, DA, and TH in brain tissue were not statistically significant. CONCLUSIONS: The rat models of TS and comorbid fear have similar changes in behaviors and miRNA-134 level to those in clinical settings and therefore can be used as a reliable animal model to study the mechanism of action of TS and comorbid fear.

Network pharmacology study on the mechanism of Qiangzhifang in the treatment of panic disorder.

BACKGROUND: Panic disorder (PD) is a kind of mental illness characterized by the symptom of recurring panic attacks. Qiangzhifang (QZF) is a novel decoction developed by Professor Zhaojun Yan based on a unique system of syndrome differentiation and clinical experience. It has achieved remarkable results after long-term clinical practice, but its mechanism of action is still unclear. This study aims to use network pharmacology and molecular docking to explore the mechanism of QZF in the treatment of PD. METHODS: We used the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), a literature search, and Encyclopedia of Traditional Chinese Medicine (ETCM) to find active ingredients and targets of QZF. We searched for PD targets in GeneCards, Online Mendelian Inheritance in Man (OMIM), the Comparative Toxicogenomics Database (CTD), and DrugBank. We established a PD target database, constructed a protein-protein interaction (PPI) network, and performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis in order to screen possible pathways of action and analyze the mechanism. RESULTS: This study identified 84 effective components of QZF, 691 potential targets, 357 PD targets, and 97 intersectional targets. Enrichment analysis using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) showed that QZF was associated with 118 biological processes (BPs), 18 cellular components (CCs), 35 molecular functions (MFs) [false discovery rate (FDR) <0.01], and 62 pathways (FDR <0.01). QZF mainly acts on its targets AKT1, FOS, and APP through active ingredients such as quercetin, ß-sitosterol, 4-(4'-hydroxybenzyloxy)benzyl methyl ether, harmine, 1,7-dimethoxyxanthone, and 1-hydroxy-3,7-dimethoxyxanthone to regulate serotonin, gamma-aminobutyric acid (GABA), cyclic adenosine monophosphate (cAMP), and other signal pathways to treat PD. CONCLUSIONS: Through network pharmacology and molecular docking technology, we predicted the possible mechanism of QZF in the treatment of PD, revealed the interaction targets and potential value of QZF, and provided a basis for its clinical application.

Network pharmacology study on the mechanism of the herb pair of prepared Rehmannia root-Chinese arborvitae kernel for anxiety disorders.

BACKGROUND: Although anxiety disorders are one of the most common mental illness in population, antianxiety drugs often only have single action targets, require long-term use, and are associated with many adverse reactions and dependencies. Professor Yan Zhaojun from Shandong Provincial Hospital of Traditional Chinese Medicine (TCM) has applied the modified Renshu Powder, a TCM formula, to treat anxiety disorders, with satisfactory outcomes. Here, we investigated the mechanism of action of two core herbs (prepared Rehmannia root and Chinese arborvitae kernel) in the Renshu Powder in the treatment of anxiety disorders by using network pharmacology approaches. METHODS: Candidate compounds of the herb pair of prepared Rehmannia root-Chinese arborvitae kernel were extracted via the Traditional Chinese Medicine Systems Pharmacology (TCMSP) platform. The targets of action of the main compounds were collected using the SwissTargetPrediction database. Targets associated with anxiety disorders were retrieved from DisGeNET, Online Mendelian Inheritance in Man (OMIM), DrugBank, GeneCards, and Comparative Toxicogenomics Database (CTD) databases. The compound-target interaction network was constructed by Cytoscape 3.7.2 software, and the protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) platform. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses the data by using Metascape. RESULTS: The main active compounds of the herb pair included arachidonic acid, stigmasterol, and beta-sitosterol. The key targets included Nitric Oxide Synthase 3 (NOS3), Epidermal growth factor (EGF), Prostaglandin-Endoperoxide Synthase 2 (PTGS2), Caspase 3 (CASP3), Mitogen-Activated Protein Kinase 1 (MAPK1), Peroxisome proliferator-activated receptor gamma (PPARG), RELA Proto-Oncogene, NF-KB Subunit (RELA), Estrogen Receptor 1 (ESR1), Solute Carrier Family 6 Member 4 (SLC6A4), and Phosphatase and Tensin homolog deleted on chromosome 10 (PTEN). Anxiety disorder-related GO analysis mainly involved synaptic signaling, neurotransmitter receptor activity, and G protein-coupled neurotransmitter receptor activity. The KEGG pathways involved neuroactive ligand-receptor interaction, serotonergic synapse, PI3K/AKT/mTOR signaling pathway, and MAPK signaling pathway. CONCLUSIONS: The mechanism of action of the prepared Rehmannia root-Chinese arborvitae kernel in treating anxiety disorders involves multiple ingredients, multiple targets, and pathways.

Epidemiological, Virological and Serological Features of Coronavirus Disease 2019 (COVID-19) Cases in People Living With Human Immunodeficiency Virus in Wuhan: A Population-based Cohort Study.

BACKGROUND: We aimed to describe the epidemiological, virological, and serological features of coronavirus disease 2019 (COVID-19) cases in people living with human immunodeficiency virus (HIV; PLWH). METHODS: This population-based cohort study identified all COVID-19 cases among all PLWH in Wuhan, China, by 16 April 2020. The epidemiological, virological, and serological features were analyzed based on the demographic data, temporal profile of nucleic acid test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the disease, and SARS-CoV-2-specific immunoglobin (Ig) M and G after recovery. RESULTS: From 1 January to 16 April 2020, 35 of 6001 PLWH experienced COVID-19, with a cumulative incidence of COVID-19 of 0.58% (95% confidence interval [CI], .42-.81%). Among the COVID-19 cases, 15 (42.86) had severe illness, with 2 deaths. The incidence, case-severity, and case-fatality rates of COVID-19 in PLWH were comparable to those in the entire population in Wuhan. There were 197 PLWH who had discontinued combination antiretroviral therapy (cART), 4 of whom experienced COVID-19. Risk factors for COVID-19 were age ≥50 years old and cART discontinuation. The median duration of SARS-CoV-2 viral shedding among confirmed COVID-19 cases in PLWH was 30 days (interquartile range, 20-46). Cases with high HIV viral loads (≥20 copies/mL) had lower IgM and IgG levels than those with low HIV viral loads (<20 copies/ml; median signal value divided by the cutoff value [S/CO] for IgM, 0.03 vs 0.11, respectively [P < .001]; median S/CO for IgG, 10.16 vs 17.04, respectively [P = .069]). CONCLUSIONS: Efforts are needed to maintain the persistent supply of antiretroviral treatment to elderly PLWH aged 50 years or above during the COVID-19 epidemic. The coinfection of HIV and SARS-CoV-2 might change the progression and prognosis of COVID-19 patients in PLWH.

Complete Genome of the Chitin-Degrading Bacterium, Paenibacillus xylanilyticus W4.

Chitinases possess an extraordinary ability to directly hydrolyze highly insoluble chitin polymers to low-molecular-weight chito-oligomers, which possess particular biological functions, such as elicitor action and antitumor activity. A novel strain, Paenibacillus xylanilyticus W4, which was isolated from soil, showed strong chitin degradation activity. Here, we first reported the complete genome information of P. xylanilyticus. Paenibacillus xylanilyticus W4 contains a 5,532,141 bp single circular chromosome with 47.33% GC content. The genome contains 5,996 genes, including 39 rRNA- and 109 tRNA-coding genes. Phylogenetic analysis and Genome-to-Genome Distance revealed its taxonomic characterization into a separate family. Six glycoside hydrolase 18 (GH18) and 2 GH23 enzymes involved in chitin degradation. Although many of the chitinases were conserved in Paenibacillus, several GH18 chitinases share high similarity with Bacillus circulans. The genome information provided here could benefit for understanding the chitin-degrading properties of P. xylanilyticus as well as its potential application in biotechnological and pharmaceutical fields.