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

OBJECTIVE: To investigate whether astragalus polysaccharides (APS) combined with berberine (BBR) can reduce high-fat diet (HFD)-induced obesity in mice. METHODS: Except for normal mice, 32 HFD-induced obese mice were randomized into HFD, APS (1,000 mg/kg APS), BBR (200 mg/kg BBR), and APS plus BBR (1,000 mg/kg APS plus 200 mg/kg BBR) groups, respectively. After 6-week treatment (once daily by gavage), the obesity phenotype and pharmacodynamic effects were evaluated by histopathological examination of epididymal fat, liver, and colon using hematoxylin-eosin staining and serum biochemical analyses by an automated chemistry analyzer. The feces were collected at the 12 th week, and taxonomic and functional profiles of gut microbiota were analyzed by 16S ribosomal ribonucleic acid (16S rRNA) sequencing. RESULTS: Compared with HFD group, the average body weight of APS plus BBR group was decreased (P<0.01), accompanied with the reduced fat accumulation, enhanced colonic integrity, insulin sensitivity and glucose homeostasis (P<0.05 or P<0.01). Importantly, APS combined with BBR treatment was more effective than APS or BBR alone in improving HFD-induced insulin resistance (P<0.05 or P<0.01). 16S rRNA sequence-based analysis of fecal samples demonstrated that APS combined with BBR treatment exhibited a better impact on HFD-induced gut microbiota dysbiosis, exclusively via the enriched abundances of Bacteroides, which corresponded to the large increase of predicted bacterial genes involved in carbohydrate metabolism. CONCLUSION APS combined with BBR may synergistically reduce obesity and modulate the gut microbiota in HFD-fed mice.
Mice ; Animals ; Diet, High-Fat ; Berberine/therapeutic use* ; Mice, Obese ; RNA, Ribosomal, 16S/genetics* ; Gastrointestinal Microbiome ; Obesity/drug therapy* ; Insulin Resistance ; Mice, Inbred C57BL

HIV cluster detection and response (CDR) is a critical strategy to end the HIV epidemic by offering information to identify prevention and care services gaps. The risk metrics for HIV clusters can be classified into three groups: growth-based metrics, characteristic-based metrics, and phylogeny-based metrics. When identifying HIV risk clusters, the public health response can reach people in the affected networks, including people with undiagnosed HIV, people with diagnosed HIV who might not be accessing HIV care or other services, and people without HIV who would benefit from prevention services. To provide references for HIV precise prevention in China, we summarized the risk metrics and the intervention measures for CDR.
Humans ; HIV Infections/prevention & control* ; Acquired Immunodeficiency Syndrome/epidemiology* ; Public Health ; Epidemics/prevention & control* ; China/epidemiology*

Objective:To predict and analyze the number of acute pancreatitis (AP) inpatients based on time series model, and to explore the predictive efficiency of the model.Methods:Clinical data of AP inpatients in the Affiliated Hospital of Southwest Medical University from January 2014 to December 2019 were collected. R software was used to collect the time series of AP inpatients, and the trend and seasonal characteristics of AP inpatients from 2014 to 2018 were analyzed. Furthermore, the autoregressive moving average (ARIMA) model was established through stationarity test, model ordering and model testing steps, and the best selected model was used to predict the monthly number of inpatients in 2019 to verify its prediction efficiency.Results:A total of 3 939 AP patients were included in the study. The most common etiology for AP was cholestrogenic (48.2%), followed by hyperacylglyceremia (36.3%). The peak age of hospitalization was from 40 to 60 years old. Time series analysis showed that the number of AP inpatients increased year by year. The highest peak of the disease was from February to March, followed by September to November; and there was seasonal variation and the incidence was relatively small in summer. The established original training set sequence did not pass the stationarity test ( P=0.061), so the ARIMA model was established after it was transformed into a stationarity sequence by first-order difference. According to the criterion of minimum AIC value, ARIMA(2, 1, 1)(1, 1, 1) 12 was selected as the best model. The model was used to predict the number of AP inpatients in 2019, showing that it could better fit the trend of onset time and had good short-term prediction effect. The mean root error and absolute error were 6.8790 and 4.7783, respectively. Conclusions:The number of AP inpatients increases year by year with seasonal changes. ARIMA model is effective in predicting the number of AP inpatients and can be used for short-term prediction.

Objective:To explore the impacts of comprehensive geriatric assessment (CGA) on setup errors during the radiotherapy of elderly patients with rectal cancer.Methods:A total of 45 patients over 70 years of age and receiving radiotherapy were enrolled in the study. A comprehensive geriatric assessment was conducted before the radiotherapy. The enrolled patients had a median age of 77 years, including 28 male and 17 female cases. Meanwhile, 31 patients were determined to be in a good CGA status and 14 were determined to be in a poor CGA status, and 35 patients received radiotherapy in the prone position and 10 in the supine position. Cone beam CT (CBCT) was used for setup correction during radiotherapy. CBCT was performed daily in the first week and once a week from the second week. By fusing and aligning the CBCT images with simulation CT images according to the lumbar vertebra, setup errors in the left-right ( x axis), cranio-caudal ( y axis), and anterior-posterior ( z axis) directions were obtained. A total of 338 CBCT images were obtained. A generalized linear model was used to evaluate the effects of multiple factors on the setup errors. Results:During the radiotherapy, setup errors of all patients were (0.24±0.19) cm in the left-right direction, (0.33±0.25) cm in the cranio-caudal direction, and (0.19±0.15) cm in the anterior-posterior direction. The setup error in the cranio-caudal direction was more than that in the left-right direction and that in the anterior-posterior direction ( Z=-4.86, -7.72, P< 0.001). The setup error in the left-right direction was greater than that in the anterior-posterior direction ( Z=-2.79, P=0.005). The mean setup errors of the good and poor status groups in the left-right direction were (0.21 ± 0.17) and (0.30 ± 0.22) cm, respectively ( Z=2.16, P=0.031). There was no statistically significant difference in the setup errors between cranio-caudal direction and anterior-posterior direction ( P>0.05). The setup errors in the anterior-posterior direction were (0.17 ± 0.13) and (0.27 ± 0.19) cm, respectively for the prone and supine positions during the radiotherapy ( Z=2.85, P=0.004). There was no statistically significant difference in the setup errors between the left-right direction and the cranio-caudal direction ( P>0.05). Conclusion:The status of CGA elderly patients with rectal cancer affects the setup error in the left-right direction. It may be necessary to clinically adjust the PTV margin.

"Xiang thinking" is the main thinking mode in traditional Chinese medicine(TCM) with both philosophical and scientific connotations, and has an important influence on the emergence and development of TCM. This study systematically expounded the philosophical connotation and characteristics of "Xiang thinking", and its application in the construction of TCM theory, clinical syndrome differentiation and treatment, the formation of medicinal properties, and interpretation of efficacy of Chinese medicine. "Xiang thinking" in TCM develops and changes continuously with practical application, and its historical evolution can be summarized into three stages, i.e., "Ying Xiang(corresponding to Xiang)" "Fa Xiang(following Xiang)", and "Bian Xiang(differentiating Xiang)". The understanding of Xiang is based on the means and methods of human observation of things and the backgrounds of the philosophy, science, and development. The result of comparison depends on the depth and breadth of Xiang. In the real world, Xiang is showing new construction characteristics with multiple dimensions and levels. Therefore, this study proposed the thinking of "Bian Xiang", which is expected to provide a thinking approach that can realize the transformation from "Xiang thinking" to scientific research for the exploration and innovative research on life origin in the field of contemporary and TCM.
Humans ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal

ObjectiveBased on the medical cases of Qi and blood co-treatment of traditional Chinese medicine（TCM） masters， to discover the syndrome and treatment rules and medication experience of Qi and blood co-treatment through data mining. MethodFrom December 1999 to November 2020， the Qi and blood treatment cases of TCM masters were retrieved from China National Knowledge Infrastructure （CNKI）. Frequency statistics， association rules， cluster analysis and other methods were used for data mining. ResultThe analysis of 591 medical cases of 57 national medical master found that blood stasis， Qi deficiency， Qi stagnation， blood deficiency and phlegm were the most common syndromes. The tongue was reddish， pale or dark， the moss was white or thin， and the pulse was thin， stringy， heavy and slippery. In the treatment of Qi and blood， the disease in the early stage is mostly in Qi and blood itself. At this time， the emphasis should be on regulating Qi and blood， or tonic or attack or both. At the same time， attention should be paid to invigorating the spleen， soothing the liver and tonifying the kidney. Core drugs include Danggui Buxuetang， Buyang Huanwutang， Huangqi Guizhi Wuwutang， Taohong Siwutang， Si Junzitang， Linggui Zhugantang， Xiaoyaosan， Danggui Shaoyaosan and other chemical cut. ConclusionWhen treating Qi and blood together， Chinese medical masters attach great importance to the relationship between Qi and blood and the development stage of diseases， and emphasize the precision and dynamic differentiation of treatment. Their theories and experience of diagnosis and treatment are worthy of clinical application and promotion.

Hepatic stellate cells(HSCs)are essential drivers of fibrogenesis.Inducing activated-HSC apoptosis is a promising strategy for treating hepatic fibrosis.18beta-glycyrrhetinic acid(18β-GA)is a natural com-pound that exists widely in herbal medicines,such as Glycyrrhiza uralensis Fisch,which is used for treating multiple liver diseases,especially in Asia.In the present study,we demonstrated that 18β-GA decreased hepatic fibrosis by inducing the apoptosis in activated HSCs.18β-GA inhibited the expression of α-smooth muscle actin and collagen type Ⅰ alpha-1.Using a chemoproteomic approach derived from activity-based protein profiling,together with cellular thermal shift assay and surface plasmon reso-nance,we found that 18β-GA covalently targeted peroxiredoxin 1(PRDX1)and peroxiredoxin 2(PRDX2)proteins via binding to active cysteine residues and thereby inhibited their enzymatic activities.18β-GA induced the elevation of reactive oxygen species(ROS),resulting in the apoptosis of activated HSCs.PRDX1 knockdown also led to ROS-mediated apoptosis in activated HSCs.Collectively,our findings revealed the target proteins and molecular mechanisms of 18β-GA in ameliorating hepatic fibrosis,highlighting the future development of 18β-GA as a novel therapeutic drug for hepatic fibrosis.

With reference to the production process documented in Chinese Pharmacopoeia, this paper prepared the calibrator samples of Xiaochaihu Granules from multiple batches and established a method for fingerprint analysis and content determination that could be used to evaluate Xiaochaihu Granules available in market. Multiple batches of Chinese herbal pieces contained in Xiaochaihu Granules were collected for preparing the calibrator samples according to the process in Chinese Pharmacopoeia. Following the establishment of fingerprints for calibrator samples by UHPLC, the method for determining the contents of saikosaponin B2, saikosaponin B1, baicalin, wogonoside, baicalein, liquiritin, glycyrrhizin G2 and glycyrrhizic acid in Xiaochaihu Granules was established. The experimental results showed that the fingerprints of calibrator samples had 26 common peaks, covering the chemical compounds of main herbs Bupleuri Radix, Scutellariae Radix, Changii Radix, Glycyrrhizae Radix et Rhizoma, and Rhizoma Zingiberis Recens. The similarity of fingerprints for 47 batches of Xiaochaihu Granules from 31 companies with the calibrator sample fingerprint ranged from 0.74 to 0.99, indicating good applicability of the established fingerprint. The contents of main components baicalin, saikosaponin B2, and glycyrrhizic acid in Xiaochaihu Granules were within the ranges of 22.917-49.108 mg per bag(RSD 19%), 0.28-2.19 mg per bag(RSD 62%), and 0.897-6.541 mg per bag(RSD 41%), respectively. The quality difference in saikosaponin B2, and glycyrrhizic acid among different manufacturers was significant. The fingerprint analysis and content determination method for calibrator samples of Xiaochaihu Granules prepared according to the production process in Chinese Pharmacopoeia has been proved suitable for evaluating the quality of Xiaochaihu Granules from different manufacturers. Saikosaponin B2, glycyrrhizic acid, and liquiritin should be added as content control indicators for Xiaochaihu Granules, aiming to further improve the product quality.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Glycyrrhizic Acid/analysis* ; Rhizome/chemistry* ; Scutellaria baicalensis

The core prescriptions and formulation characteristics in the treatment of edema by traditional Chinese medicine(TCM) masters were analyzed through data mining and their mechanisms were explored by network pharmacology. We collected journal reports on the treatment of edema by TCM masters in three sessions from China National Knowledge Infrastructure(CNKI) and constructed a database by Traditional Chinese Medicine Inheritance Support System 3.0. The prescriptions in the case studies were analyzed by association rules and k-means clustering. The chemical components and targets of Chinese medicines in core prescriptions were collected through TCMSP and TCMID. Edema-related targets were collected from DrugBank and GeneCards. The protein-protein interaction(PPI) network was constructed by STRING and the core targets were screened out. FunRich 3.1.3 was used to enrich the expression sites of core prescriptions. Metascape was used to perform Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analysis of intersection targets. Cytoscape 3.6.0 was used to visualize the "Chinese medicine-active ingredient-core target-pathway" network. The results showed that 315 pieces of medical records in the treatment of edema by TCM masters were obtained and five core prescriptions were analyzed by association rules and k-means clustering. Core prescription 1 contained Poria, Atractylodis Macrocephalae Rhizoma, Astragali Radix, Alismatis Rhizoma, Glycyrrhizae Radix et Rhizoma, and Codonopsis Radix, involving 166 chemical components and 1 125 targets. Core prescription 2 contained Astragali Radix, Salviae Miltiorrhizae Radix et Rhizoma, Poria, Chuanxiong Rhizoma, Paeoniae Radix Rubra, and Angelicae Sinensis Radix, involving 138 chemical components and 1 112 targets. Core prescription 3 contained Poria, Salviae Miltiorrhizae Radix et Rhizoma, Astragali Radix, Atractylodis Macrocephalae Rhizoma, Alismatis Rhizoma, and Coicis Semen, involving 126 chemical components and 1 121 targets. Core prescription 4 contained Poria, Forsythiae Fructus, Atractylodis Macrocephalae Rhizoma, Imperatae Rhizoma, Cicadae Periostracum, and Coicis Semen, involving 58 chemical components and 820 targets. Core prescription 5 contained Poria, Atractylodis Macrocephalae Rhizoma, Astragali Radix, Alismatis Rhizoma, Trionycis Carapax, and Dioscoreae Rhizoma, involving 68 chemical components and 919 targets. The core targets of core prescriptions included AKT1, ALB, CASP3, MAPK3, EGFR, SRC, MAPK1, and TNF. The potential targets of core prescriptions in the treatment were highly expressed in the stomach, bladder, lung, and kidney. KEGG pathways were enriched in inflammation and cell cycle pathways, especially the inflammation-relation pathways. The therapeutic effect of core prescriptions on edema is presumedly achieved by tonifying the spleen, draining water, activating blood, and benefiting Qi to resist inflammation and regulate the immune system. This study is expected to provide references for the summary of TCM masters' experience and new drug development.
Data Mining ; Drugs, Chinese Herbal/pharmacology* ; Edema/drug therapy* ; Humans ; Medicine, Chinese Traditional ; Prescriptions ; Rhizome