Aim To identify the molecular target of gabapentin in the treatment of postherpetic neuralgia(PHN). Methods The molecular target of gabapentin for PHN was analyzed by network pharmacology and molecular docking and confirmed by coprecipitation test. Rats were randomly divided into control group, model group, model+50 mg·kg-1 gabapentin group, model+100 mg·kg-1 gabapentin group, and model+200 mg·kg-1 gabapentin group, with nine rats in each group. The pain-related behaviors of the rats were measured at different time points. The mRNA and protein expressions of CACNA2D1, Bax, and Bcl-2 in rat spinal cord were determined by immunofluorescence, Western blot, and qPCR. Results CACNA2D1 was the target gene of gabapentin that determined via network pharmacology, molecular docking, and co-precipitation tests. After modeling, mechanical pain threshold and thermal pain threshold significantly decreased, and the number of apoptotic GABA cells significantly increased. However, after intraperitoneal injection of 50, 100, and 200 mg·kg-1 gabapentin, mechanical pain threshold and thermal pain threshold significantly increased(P<0.05), and the number of apoptotic GABA cells significantly decreased(P<0.01). Immunofluorescence and Western blot results showed that compared with the model group, with the increase of gabapentin concentration, the positive expression rate of Bax significantly decreased, and the positive expression rate of Bcl-2 and CACNA2D1 significantly increased. The mRNA expression levels of Bax, Bcl-2 and CACNA2D1 detected by qPCR were consistent with the results of immunofluorescence and Western blot. Conclusions Gabapentin up-regulates the expression of target protein CACNA2D1, inhibits the proapoptotic protein Bax, and promotes the expression of apoptotic inhibitor Bcl-2.

Objective: To estimate the incidence of HIV-1 infection in men who have sex with men (MSM) in key areas of China through HIV-1 limiting antigen avidity enzyme immunoassay (LAg-Avidity EIA), analyze the deviation from the actual results and identify influencing factors, and provided reference for improving the accuracy of estimation results. Methods: Based on the principle of the cohort randomized study design, 20 cities were selected in China based on population size and the number of HIV-positive MSM. The sample size was estimated to be 700 according to the HIV-1 infection rate in MSM. MSM mobile phone app. was used to establish a detection appointment and questionnaire system, and the baseline cross-sectional survey was conducted from April to November 2019. LAg-Avidity EIA was used to identify the recent infected samples. The incidence of HIV-1 infection was calculated and then adjusted based on the estimation formula designed by WHO. The influencing factors were identified by analyzing the sample collection and detection processes. Results: Among the 10 650 blood samples from the participants, 799 were HIV-positive in initial screening, in which 198 samples (24.78%) missed during confirmation test. Only 621 samples were received by the laboratory. After excluding misreported samples, 520 samples were qualified for testing. A total of 155 samples were eventually determined as recent infection through LAg-Avidity EIA; Based on the estimation formula , the incidence of HIV-1 infection in MSM in 20 cities was 4.06% (95%CI:3.27%-4.85%), it increased to 5.53% (95%CI: 4.45%-6.60%)after the adjusting for sample missing rate. When the sample missing rate and misreporting rate were both adjusted, the incidence of HIV-1 infection in the MSM increased to 5.66% (95%CI:4.67%-6.65%). The actual incidence of HIV-1 infection in MSM in the 20 cities might be between 4.06% and 5.66%. Conclusions: Sample missing and misreporting might cause the deviation of the estimation of HIV-1 infection incidence. It is important to ensure the sample source and the quality of sample collection and detection to reduce the deviation in the estimation of HIV-1 infection incidence.
Cross-Sectional Studies ; HIV Infections/epidemiology* ; HIV-1 ; Homosexuality, Male ; Humans ; Immunoenzyme Techniques ; Incidence ; Male ; Sexual and Gender Minorities

Objective: To investigate the distribution of HIV-1 genetic subtypes and pretreatment drug resistance (PDR) among men who have sex with men (MSM) from 19 cities of 6 provinces in China. Methods: From April to November 2019, 574 plasma samples of ART-naive HIV-1 infected MSM were collected from 19 cities in Hebei, Shandong, Jiangsu, Zhejiang, Fujian, and Guangdong provinces, total ribonucleic acid (RNA) was extracted and amplified the HIV-1 pol gene region by nested polymerase chain reaction (PCR) after reverse transcription. Then sequences were used to construct a phylogenetic tree to determine genetic subtypes and submitted to the Stanford drug resistance database for drug resistance analysis. Results: A total of 479 samples were successfully amplified by PCR. The HIV-1 genetic subtypes included CRF01_AE, CRF07_BC, B, CRF55_01B, CRF59_01B, CRF65_cpx, CRF103_01B, CRF67_01B, CRF68_01B and unrecognized subtype, which accounted for 43.4%, 36.3%, 6.3%, 5.9%, 0.8%, 0.8%, 0.4%, 0.4%, 0.2% and 5.5%, respectively. The distribution of genetic subtypes among provinces is statistically different (χ²=44.141, P<0.001). The overall PDR rate was 4.6% (22/479), the drug resistance rate of non-nucleoside reverse transcriptase inhibitors, nucleoside reverse transcriptase inhibitors, and protease inhibitors were 3.5% (17/479), 0.8% (4/479) and 0.2% (1/479), respectively. The PDR rate of recent infections was significantly higher than that of long-term infections (χ²=4.634, P=0.031). Conclusions: The HIV-1 genetic subtypes among MSM infected with HIV-1 from 19 cities of 6 provinces in China are diverse, and the distribution of subtypes is different among provinces. The overall PDR rate is low, while the PDR rate of recent infections was significantly higher than that of long-term infections, suggesting the surveillance of PDR in recent infections should be strengthened.
China/epidemiology* ; Cities ; Drug Resistance ; Drug Resistance, Viral/genetics* ; Female ; Genotype ; HIV Infections/epidemiology* ; HIV Seropositivity/drug therapy* ; HIV-1/genetics* ; Homosexuality, Male ; Humans ; Male ; Phylogeny ; Reverse Transcriptase Inhibitors/therapeutic use* ; Sexual and Gender Minorities

Bone Marrow ; Humans ; Multiple Myeloma/diagnosis* ; Plasma Cells ; Prognosis

Objective To explore the potential targets of triclosan in the treatment of nonalcoholic fatty liver disease(NAFLD) and to provide new clues for the future research on the application of triclosan. Methods The targets of triclosan and NAFLD were obtained via network pharmacology.The protein-protein interaction network was constructed with the common targets shared by triclosan and NAFLD.The affinity of triclosan to targets was verified through molecular docking.Gene ontology(GO) annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment were carried out to analyze the key targets and the potential mechanism of action.NAFLD model was established by feeding male C57BL/6J mice with high-fat diet for 12 weeks.The mice were randomly assigned into a model group and a triclosan group [400 mg/(kg·d),gavage once a day for 8 weeks].The hematoxylin-eosin(HE) staining was used for observation of the pathological changes and oil red O staining for observation of fat deposition in mouse liver.Western blotting was employed to detect the protein level of peroxisome proliferator-activated receptor alpha(PPARα) in the liver tissue. Results Triclosan and NAFLD had 34 common targets,19 of which may be the potential targets for the treatment,including albumin(ALB),PPARα,mitogen-activated protein kinase 8(MAPK8),and fatty acid synthase.Molecular docking predicted that ALB,PPARα,and MAPK8 had good binding ability to triclosan.KEGG pathway enrichment showcased that the targets were mainly enriched in peroxisome proliferator-activated receptor signaling pathway,in which ALB and MAPK8 were not involved.Triclosan alleviated the balloon-like change and lipid droplet vacuole,decreased the lipid droplet area,and up-regulated the expression level of PPARα in mouse liver tissue. Conclusion PPARα is a key target of triclosan in the treatment of NAFLD,which may be involved in fatty acid oxidation through the peroxisome proliferator activated receptor signaling pathway.
Animals ; Liver/pathology* ; Male ; Mice ; Mice, Inbred C57BL ; Molecular Docking Simulation ; Network Pharmacology ; Non-alcoholic Fatty Liver Disease/drug therapy* ; PPAR alpha/therapeutic use* ; Triclosan/therapeutic use*

Objective To develop an SNP Panel for East Asian population, which has a high individual identification rate and the capability of ancestry analysis. Methods The 55 SNP Panel by Professor KIDD of Yale University and the 128 SNP Panel by Professor SELDIN of Davis School of California University, 170 SNP Panel in total was used as the basis and its test data in the East Asian population was collected. The genetic parameters of SNP loci were calculated and combined with the results of heatmap analysis to screen SNP loci suitable for East Asian population. Some Tibetan and Han samples were tested. The possibility of using the SNP loci in ancestry inference was analyzed by means of STRUCTURE analysis, principal component analysis and heatmap analysis. Results A Panel with 45 SNPs （45 SNP Panel） was screened out, and the average genetic parameters of each SNP were better than 170 SNP Panel, with the same ancestry analysis and inference ability. Conclusion In terms of ancestry inference information, the 45 SNP Panel can completely replace the 170 SNP Panel and achieve the same ancestry analysis and inference ability. In genetic parameters, 45 SNP Panel is better than 170 SNP Panel in the East Asian population, which shows its important potential forensic application value.
Asian People/genetics* ; Gene Frequency ; Genetics, Population ; Humans ; Polymorphism, Single Nucleotide ; Principal Component Analysis

Antibodies, Viral ; blood ; Betacoronavirus ; Coronavirus ; immunology ; Coronavirus Infections ; immunology ; Humans ; Immunoglobulin G ; blood ; Pandemics ; Pneumonia, Viral ; immunology

Objective: To reveal the related factors of inhibitors and differences ofhemorrhage and joint disease before and after the production of inhibitors in children with hemophilia A (HA) . Methods: Retrospective analyses of the clinical data of 381 children with HA under the age of 16 registered in the Registration Management Center of Hemophilia in Henan Provincial from January 2015 to August 2018. Results: A total of the 381 children were enrolled with 116 (30.4%) mild, 196 (51.4%) moderate, and 69 (18.1%) severe cases; 54 patients (14.2%) had inhibitors, including 22 high and 32 low titer inhibitors. Positive family history was positively associated with inhibitors[P<0.001, OR=3.299 (95%CI 1.743-5.983) ], and high-intensity exposure was associated with inhibitors[P=0.002, OR=2.587 (95%CI 1.414-4.731) ]. High-intensity exposure was associated with high titer inhibitor production[P=0.001, OR=8.689 (95%CI 2.464-30.638) ], and high-intensity exposure increased the risk of high titer inhibitors in HA patients. After inhibitors occurred in 54 patients with HA, the rates of overall joint annual bleeding (z=-3.440, P=0.001) and traumatic annual bleeding (z=-2.232, P=0.026) increased, but the rates of the annual joint bleeding (z=-1.342, P=0.180) and spontaneous annual bleeding (z=-1.414, P=0.157) remained to be not statistically significant. The joint ultrasound score did not change significantly after the inhibitor information (z=-0.632, P=0.527) . Conclusions: Positive family history and high-intensity exposure could increase the risk of F Ⅷ inhibitors in HA patients, and high-intensity exposure increased the risk of high titer inhibitors. The rates of the overall joint annual bleeding and traumatic annual bleeding increased after the inhibitor information.
Child ; Factor VIII/therapeutic use* ; Hemarthrosis ; Hemophilia A/drug therapy* ; Hemorrhage ; Humans ; Retrospective Studies

Background: On diagnosis of human immunodeficiency virus (HIV) infection, a person may have been infected already for many years. This study aimed to estimate the duration of HIV infection at the time of diagnosis. Methods: Newly diagnosed HIV cases in Dehong, China, from 2008 to 2015 were studied. Duration of infection at the time of diagnosis was calculated using the first CD4 cell count result after diagnosis and a CD4 depletion model of disease progression. Multiple linear regression analysis was used to investigate the associated risk factors. Results: A. : total of 5867 new HIV cases were enrolled. Overall, mean duration of infection was 6.3 years (95% confidence interval [CI]: 6.2, 6.5). After adjusting for confounding, significantly shorter durations of infection were observed among participants who were female (beta: -0.37, 95% CI: -0.64, -0.09), Dai ethnicity (beta: -0.28, 95% CI: -0.57, 0.01), and infected through injecting drug use (beta: -1.82, 95% CI: -2.25, -1.39). Compared to the hospital setting, durations were shorter for those diagnosed in any other settings, and compared to 2008, durations were shorter for those diagnosed all years after 2010. Conclusion Although the reduction in duration of infection at the time of diagnosis observed in Dehong was significant, it may not have had a meaningful impact.
Adult ; CD4 Lymphocyte Count ; China ; Female ; HIV Infections ; diagnosis ; Humans ; Male ; Middle Aged ; Risk Factors ; Substance-Related Disorders ; Time Factors ; Young Adult