Aim To explore the potential targets and related signaling pathways of Agaricus blazei Murill (AbM ) extract in the treatment of chronic myeloid leukemia (CML) based on liquid chromatography mass spectrometry ( LC-MS ), network pharmacology, molecular docking, and were further verified by experiments in vitro. Methods The active components of AbM extract were retrieved from LC-MS, Swiss Target Prediction database was used to predict related targets, and CML disease target genes were obtained from Gen- eCards and DisGeNET databases. After screening the common targets of drug and CML, the protein-protein interaction network of the common targets was performed by STRING, and GO and KEGG enrichment a- nalysis were done by DAVID database. Cytoscape software was used to construct the network of target protein. Molecular docking was carried out by DockThor, and the Pymol software was used to make a visual picture. The inhibitory effect of AbM extract on leukemia cells K562 was determined by CCK-8 experiment, and the effect of AbM extract on the expression and phosphorylation level of related proteins was verified by Western blot. Results The prediction results showed that 126 active components of AbM extract, and 172 common targets were collected. KEGG pathway analysis results showed that PI3K/Akt/mTOR signaling pathway might play an important role in the treatment of CML disease. The IC

Protein as the allergens could lead to allergy. In addition, a widespread class of allergens were known as glycans of N-glycoprotein. N-glycoprotein contained oligosaccharide linked by covalent bonds with protein. Recently,studies implicated that allergy was associated with glycans of heterologous N-glycoprotein found in food, inhalants, insect toxins, etc. The N-glycan structure of N-glycoprotein allergen has exerted an influence on the binding between allergens and IgE, while the recognition and presentation of allergens by antigen-presenting cells (APCs) were also affected. Some researches showed thatN-glycan structure of allergen was remodeled by N-glycosidase, such as cFase I, gpcXylase, as binding of allergen and IgE partly decreased. Thus, allergic problems caused by N-glycoproteins could potentially be solved by modifying or altering the structure ofN-glycoprotein allergens, addressing the root of the issue. Mechanism of N-glycans associated allergy could also be elaborated through glycosylation enzymes, alterations of host glycosylation. This article hopes to provide a separate insight for glycoimmunology perspective, and an alternative strategy for clinical prevention or therapy of allergic diseases.

Objective:To investigate distribution and drug resistance of pathogens of bloodstream infection in patients with hematological malignancies,in order to provide reference for clinical infection control and treatment.Methods:The clinical information of blood culture patients in the hematology department of our hospital from January 2016 to December 2021 was reviewed.They were divided into transplantation group and non-transplantation group according to whether they had undergone hematopoietic stem cell transplantation.The types of pathogens and their drug resistance were analyzed.Results:Two hundred and ninety-nine positive strains of pathogenic bacteria were detected.In the transplantation group,Gram-negative bacteria accounted for 68.5％(50/73),Gram-positive bacteria accounted for 6.8％(5/73),and fungi accounted for 24.7％(18/73).The resistance rate of Escherichia coli to the third-generation cephalosporins was 77.8％,and 11.5％to carbapenems.The resistance rate of Klebsiella pneumoniae to the third-generation cephalosporins was 50.0％,and 56.2％to carbapenems.In the non-transplantation group,Gram-negative bacteria accounted for 64.1％(145/226),Gram-positive bacteria accounted for 31.0％(70/226),and fungi accounted for 4.9％(11/226).Gram-positive bacteria were mainly Enterococcus faecium(6.6％,15/226)and Coagulase-negative Staphylococci(6.2％,14/226).The fungi were all Candida tropicalis.The resistance rate of Escherichia coli to the third-generation cephalosporins was 63.8％,and 10.3％to carbapenems.The resistance rate of Klebsiella pneumoniae to the third-generation cephalosporins was 46.3％,and 26.8％to carbapenems.Conclusion:The types of pathogenic bacteria in bloodstream infection in patients with hematological malignancies are varied.Gram-negative bacteria is the main pathogenic bacteria.The resistance of pathogenic bacteria to antibiotics is severe.Antibiotics should be used scientifically and reasonably according to the detection and resistance of pathogenic bacteria.

Objective To analyze the genetic subtypes of human immunodeficiency virus (HIV) and the prevalence of pretreatment drug resistance in the newly reported HIV-infected men in Guangxi. Methods The stratified random sampling method was employed to select the newly reported HIV-infected men aged≥50 years old in 14 cities of Guangxi from January to June in 2020.The pol gene of HIV-1 was amplified by nested reverse transcription polymerase chain reaction and then sequenced.The mutation sites associated with drug resistance and the degree of drug resistance were then analyzed. Results A total of 615 HIV-infected men were included in the study.The genetic subtypes of CRF01_AE,CRF07_BC,and CRF08_BC accounted for 57.4% (353/615),17.1% (105/615),and 22.4% (138/615),respectively.The mutations associated with the resistance to nucleoside reverse transcriptase inhibitors (NRTI),non-nucleoside reverse transcriptase inhibitors (NNRTI),and protease inhibitors occurred in 8 (1.3%),18 (2.9%),and 0 patients,respectively.M184V (0.7%) and K103N (1.8%) were the mutations with the highest occurrence rates for the resistance to NRTIs and NNRTIs,respectively.Twenty-two (3.6%) patients were resistant to at least one type of inhibitors.Specifically,4 (0.7%),14 (2.3%),4 (0.7%),and 0 patients were resistant to NRTIs,NNRTIs,both NRTIs and NNRTIs,and protease inhibitors,respectively.The pretreatment resistance to NNRTIs had much higher frequency than that to NRTIs (2.9% vs.1.3%;χ²=3.929,P=0.047).The prevalence of pretreatment resistance to lamivudine,zidovudine,tenofovir,abacavir,rilpivirine,efavirenz,nevirapine,and lopinavir/ritonavir was 0.8%, 0.3%, 0.7%, 1.0%, 1.3%, 2.8%, 2.9%, and 0, respectively. Conclusions CRF01_AE,CRF07_BC,and CRF08_BC are the three major strains of HIV-infected men≥50 years old newly reported in Guangxi,2020,and the pretreatment drug resistance demonstrates low prevalence.
Male ; Humans ; Middle Aged ; Reverse Transcriptase Inhibitors/therapeutic use* ; HIV Infections/drug therapy* ; Drug Resistance, Viral/genetics* ; China/epidemiology* ; Mutation ; HIV-1/genetics* ; Protease Inhibitors/therapeutic use* ; Genotype

A cross-sectional study was conducted to estimate the age-stratified normal levels and age-related changes in the risk predictors of benign prostatic hyperplasia (BPH) progression. A total of 4706 male participants aged 40 years or older in Zhengzhou (China) were enrolled. The values of the International Prostate Symptom Score (IPSS), prostate-specific antigen (PSA), prostate volume (PV), and postvoid residual urine volume (PVR) significantly increased with age. Nonlinear relationships between age and IPSS scores ≥8 (P for nonlinearity = 0.046), PSA level ≥1.6 ng ml^-1, PV ≥31 ml, or PVR ≥39 ml (all P for nonlinearity <0.001) were observed. After the age of 61 years, the risk indicators related to BPH progression were positively correlated with age (odds ratio [OR] >1), regardless of the predictors of the IPSS score, PSA level, PV, or PVR; and the OR values increased gradually. Therefore, after the age of 61 years, the risk predictors related to BPH progression were positively correlated with age.
Humans ; Male ; Prostatic Hyperplasia/diagnosis* ; Prostate-Specific Antigen ; Cross-Sectional Studies ; East Asian People ; Risk Factors

The twenty-first century has already recorded more than ten major epidemics or pandemics of viral disease, including the devastating COVID-19. Novel effective antivirals with broad-spectrum coverage are urgently needed. Herein, we reported a novel broad-spectrum antiviral compound PAC5. Oral administration of PAC5 eliminated HBV cccDNA and reduced the large antigen load in distinct mouse models of HBV infection. Strikingly, oral administration of PAC5 in a hamster model of SARS-CoV-2 omicron (BA.1) infection significantly decreases viral loads and attenuates lung inflammation. Mechanistically, PAC5 binds to a pocket near Asp49 in the RNA recognition motif of hnRNPA2B1. PAC5-bound hnRNPA2B1 is extensively activated and translocated to the cytoplasm where it initiates the TBK1-IRF3 pathway, leading to the production of type I IFNs with antiviral activity. Our results indicate that PAC5 is a novel small-molecule agonist of hnRNPA2B1, which may have a role in dealing with emerging infectious diseases now and in the future.
Animals ; Mice ; Antiviral Agents/pharmacology* ; COVID-19 ; Hepatitis B virus ; Interferon Type I/metabolism* ; SARS-CoV-2/drug effects* ; Heterogeneous-Nuclear Ribonucleoprotein Group A-B/antagonists & inhibitors*

Humans ; White Matter/pathology* ; Central Nervous System Neoplasms/pathology* ; Lymphoma, Large B-Cell, Diffuse/pathology*

[Abstract] Objective To investigate the relationship between the Han, Zhuang and the World populations by comparing the frequency of dental non-metric traits. Methods From 2015 to 2019, ten dental non-metric traits were sampled from He’nan, Jiangsu and Guangxi Zhuang Autonmous Region, with sample size of 1785(674 He’ nan, 547 Jiangsu, 388 Guangxi Han, 176 Guangxi Zhuang). Principal component analysis, multidimensional scaling and neighbor network were carried out. Results East Asian populations could be clearly divided into two major groups, Northeast Asian and Southeast Asian. Han and Zhuang populations were close to the Northeast Asian populations, but were far from the Southeast Asian populations. There were also some north-south differences within Han populations. Conclusion Both Sundadonty and Sinodonty are existed in East Asian populations. Han and Zhuang populations dental non-metric traits are closer to the Sinodonty.

Objective: To investigate the value of predicting the degree of differentiation of pulmonary invasive adenocarcinoma (IAC) based on CT image radiomics model and the expression difference of immunohistochemical factors between different degrees of differentiation of lesions. Methods: The clinicopathological data of patients with pulmonary IAC confirmed by surgical pathology in the Affiliated Huai'an First People's Hospital to Nanjing Medical University from December 2017 to September 2018 were collected. High-throughput feature acquisition was performed for all outlined regions of interest, and prediction models were constructed after dimensionality reduction by the minimum absolute shrinkage operator. Receiver operating characteristic curve was used to assess the predictive efficacy of clinical characteristic model, radiomics model and individualized prediction model combined with both to identify the degree of pulmonary IAC differentiation, and immunohistochemical expressions of Ki-67, NapsinA and TTF-1 were compared between groups with different degrees of IAC differentiation using rank sum test. Results: A total of 396 high-throughput features were extracted from all IAC lesions, and 10 features with high generalization ability and correlation with the degree of IAC differentiation were screened. The mean radiomics score of poorly differentiated IAC in the training group (1.206) was higher than that of patients with high and medium differentiation (0.969, P=0.001), and the mean radiomics score of poorly differentiated IAC in the test group (1.545) was higher than that of patients with high and medium differentiation (-0.815, P<0.001). The differences in gender (P<0.001), pleural stretch sign (P=0.005), and burr sign (P=0.033) were statistically significant between patients in the well and poorly differentiated IAC groups. Multifactorial logistic regression analysis showed that gender and pleural stretch sign were related to the degree of IAC differentiation (P<0.05). The clinical feature model consisted of age, gender, pleural stretch sign, burr sign, tumor vessel sign, and vacuolar sign, and the individualized prediction model consisted of gender, pleural stretch sign, and radiomic score, and was represented by a nomogram. The Akaike information standard values of the radiomics model, clinical feature model and individualized prediction model were 54.756, 82.214 and 53.282, respectively. The individualized prediction model was most effective in identifying the degree of differentiation of pulmonary IAC, and the area under the curves (AUC) of the individualized prediction model in the training group and the test group were 0.92 (95% CI: 0.86-0.99) and 0.88 (95% CI: 0.74-1.00, respectively). The AUCs of the radiomics group model for predicting the degree of differentiation of pulmonary IAC in the training group and the test group were 0.91 (95% CI: 0.83-0.98) and 0.87 (95% CI: 0.72-1.00), respectively. The AUCs of the clinical characteristics model for predicting the degree of differentiation of pulmonary IACs in the training and test groups were 0.75 (95% CI: 0.63-0.86) and 0.76 (95% CI: 0.59-0.94), respectively. The expression level of Ki-67 in poorly differentiated IAC was higher than that in well-differentiated IAC (P<0.001). The expression levels of NapsinA, TTF-1 in poorly differentiated IAC were higher than those in well-differentiated IAC (P<0.05). Conclusions: Individualized prediction model consisted of gender, pleural stretch sign and radiomics score can discriminate the differentiation degree of IAC with the best performance in comparison with clinical feature model and radiomics model. Ki-67, NapsinA and TTF-1 express differently in different degrees of differentiation of IAC.
Adenocarcinoma of Lung/pathology* ; Humans ; Ki-67 Antigen ; Lung Neoplasms/pathology* ; Retrospective Studies ; Tomography, X-Ray Computed/methods*

OBJECTIVES: This study was performed to clarify the effects of sitagliptin on METHODS: Healthy gingival samples were collected from the donors. HGFs were isolated with enzymic digestion method and identified. The effects of LPS and sitagliptin on cell viability were detected by cell-counting kit-8 (CCK8). The mRNA levels of inflammatory cytokines, namely, interleukin (IL)-6, IL-8, C-C motif ligand 2 (CCL2), and superoxide dismutase 2 (SOD2), were evaluated by quantity real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immune sorbent assay (ELISA) was used to measure the secretion protein levels of IL-6, IL-8, and CCL2. Western blot analysis was used to further investigate the activation of nuclear factor (NF)-κB signaling pathway. The effect of NF-κB pathway inhibitor BAY11-7082 on LPS-induced HGF inflammatory cytokines at the gene level was verified by qRT-PCR. RESULTS: Low concentrations of sitagliptin (0.1, 0.25, and 0.5 µmol·L CONCLUSIONS Sitagliptin could significantly inhibit LPS-induced HGF inflammatory response by blocking the NF-κB signaling pathway activation.
Fibroblasts ; Gingiva/metabolism* ; Humans ; Lipopolysaccharides ; NF-kappa B/metabolism* ; Signal Transduction ; Sitagliptin Phosphate