Objective To investigate the relationship between the expression levels of mir-155/Th17 and mir-23b-3p/Tfh in peripheral blood and the prognostic value of secondary atopic dermatitis(AD)in AIDS patients.Methods In this study,80 AIDS patients were treated in our hospital from February 2021 to December 2023.The subjects were divided into AD group and non-AD group according to whether they had secondary AD.The levels of mir-155,Th17,mir-23b-3p and Tfh in peripheral blood of AD group and non-AD group were compared.Spearman method was used to analyze the relationship between levels of mir-155,Th17,mir-23b-3p and Tfh in peripheral blood and secondary AD in AIDS patients.At the same time,according to the prognosis of patients,the subjects were divided into good prognosis group and poor prognosis group,and the risk factors affecting the prognosis of patients were screened by Logistic regression analysis.Receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of peripheral blood mir-155,Th17,mir-23b-3p and Tfh levels on the prognosis of AIDS patients.Results Compared with non-AD group,the levels of miR-155,Th17 and Tfh in peripheral blood of AD group were higher(P＜0.05),and the levels of miR-23b-3p were lower(P＜0.05).The level of miR-155,Th17 and Tfh in peripheral blood were positively correlated with secondary AD of AIDS(r=0.487,0.492,0.495,P＜0.05),and the level of miR-23b-3p in peripheral blood was negatively correlated with secondary AD of AIDS(r=-0.503,P＜0.05).The levels of HIV load(high dose),lymphoma,PLT,NLR,CRP,miR-155,Th17 and Tfh in the poor prognosis group were higher than those in the good prognosis group(P＜0.05),while the levels of albumin and miR-23b-3p in the poor prognosis group were lower than those in the good prognosis group(P＜0.05).Logistic regression analysis showed that lymphoma,PLT,NLR,low albumin,CRP,miR-155,Th17,Tfh and low miR-23b-3p were all risk factors for poor prognosis of AIDS patients(P＜0.05).ROC curve results showed that the AUC(95％CI)and sensitivity of combined detection of peripheral blood miR-155,Th17,Tfh and miR-23b-3p in predicting poor prognosis of AIDS patients were 0.883(0.805～0.992)and 96.70％,respectively.All of them were higher than the above peripheral blood indexes alone(P＜0.05).Conclusion The abnormal expression of miR-155,Th17,Tfh,and miR-23b-3p in peripheral blood is closely related to secondary AD in AIDS patients,and is a risk factor affecting the poor prognosis of AIDS patients.The combined detection of these indicators has a high predictive value for the poor prognosis of AIDS patients.

Objective To investigate the relationship between the expression levels of mir-155/Th17 and mir-23b-3p/Tfh in peripheral blood and the prognostic value of secondary atopic dermatitis(AD)in AIDS patients.Methods In this study,80 AIDS patients were treated in our hospital from February 2021 to December 2023.The subjects were divided into AD group and non-AD group according to whether they had secondary AD.The levels of mir-155,Th17,mir-23b-3p and Tfh in peripheral blood of AD group and non-AD group were compared.Spearman method was used to analyze the relationship between levels of mir-155,Th17,mir-23b-3p and Tfh in peripheral blood and secondary AD in AIDS patients.At the same time,according to the prognosis of patients,the subjects were divided into good prognosis group and poor prognosis group,and the risk factors affecting the prognosis of patients were screened by Logistic regression analysis.Receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of peripheral blood mir-155,Th17,mir-23b-3p and Tfh levels on the prognosis of AIDS patients.Results Compared with non-AD group,the levels of miR-155,Th17 and Tfh in peripheral blood of AD group were higher(P＜0.05),and the levels of miR-23b-3p were lower(P＜0.05).The level of miR-155,Th17 and Tfh in peripheral blood were positively correlated with secondary AD of AIDS(r=0.487,0.492,0.495,P＜0.05),and the level of miR-23b-3p in peripheral blood was negatively correlated with secondary AD of AIDS(r=-0.503,P＜0.05).The levels of HIV load(high dose),lymphoma,PLT,NLR,CRP,miR-155,Th17 and Tfh in the poor prognosis group were higher than those in the good prognosis group(P＜0.05),while the levels of albumin and miR-23b-3p in the poor prognosis group were lower than those in the good prognosis group(P＜0.05).Logistic regression analysis showed that lymphoma,PLT,NLR,low albumin,CRP,miR-155,Th17,Tfh and low miR-23b-3p were all risk factors for poor prognosis of AIDS patients(P＜0.05).ROC curve results showed that the AUC(95％CI)and sensitivity of combined detection of peripheral blood miR-155,Th17,Tfh and miR-23b-3p in predicting poor prognosis of AIDS patients were 0.883(0.805～0.992)and 96.70％,respectively.All of them were higher than the above peripheral blood indexes alone(P＜0.05).Conclusion The abnormal expression of miR-155,Th17,Tfh,and miR-23b-3p in peripheral blood is closely related to secondary AD in AIDS patients,and is a risk factor affecting the poor prognosis of AIDS patients.The combined detection of these indicators has a high predictive value for the poor prognosis of AIDS patients.

Objective:To investigate the value of virtual touch tissue imaging quantitative (VTIQ) combined with serum thymidine kinase 1 (TK1) detection in predicting the recurrence of triple negative breast cancer (TNBC) after breast preservation surgery.Methods:A total of 102 TNBC patients admitted to our hospital from May. 2020 to Apr. 2022 who underwent elective breast-preserving surgery were selected as the study objects. VTIQ was examined after surgery, shear wave velocity (SWV) was measured, and serum TK1 was detected. All patients were followed up after surgery, and tumor recurrence two years after surgery was statistically analyzed. Multivariate Logistic regression analysis was used to explore the influencing factors of tumor recurrence after TNBC breast-preserving preservation, and ROC curve was drawn to analyze the predictive value of SWV and serum TK1 levels on tumor recurrence.Results:The tumor recurrence rate of 102 TNBC patients was 29.41% (30/102) at 2 years after breast-preserving surgery. The TNM stage, lymph node metastasis, the levels of SWV and TK1 in the relapsed group were higher ( χ2=4.42, χ2=6.41, t=6.97, t=6.15, all P<0.05). Multivariate Logistic regression analysis showed that lymph node metastasis, SWV and serum TK1 level were influential factors for tumor recurrence at 2 years after breast-preserving surgery in TNBC patients ( OR=3.093, OR=3.501, OR=2.939, all P<0.05). ROC curve analysis showed that the AUC values of SWV and serum TK1 levels and their combined detection in predicting tumor recurrence after breast-preserving in TNBC patients were 0.821, 0.778 and 0.869, respectively, the sensitivity was 66.67%, 73.33% and 83.33%, respectively, and the specificity was 81.94%, 76.39% and 79.17%, respectively. The combined detection of SWV and serum TK1 level was more effective than the single detection in predicting tumor recurrence in patients with TNBC after breast-preserving surgery. Conclusion:SWV and serum TK1 levels are related to tumor recurrence after TNBC, and can predict tumor recurrence, and the combined detection of the two indicators can improve the prediction efficiency of tumor recurrence after TNBC.

Objective To explore the therapeutic mechanism of Modified Lugen Formula(Phragmitis Rhizoma,Cicadae Periostracum,Batryticatus Bombyx,Lonicerae Japonicae Flos,Glycyrrhiza,Menthae Haplocalycis Herba,Notopterygii Rhizoma et Radix,Puerariae Lobatae Radix,Bupleuri Radix)in treating influenza from the virus-host interaction interface.Methods The phytocompounds were first collected from the HERB database,and then potential active compounds were screened out by Lipinski's rules of five.The targets of active compounds were further predicted through the SwissTargetPrediction platform.Differentially expressed genes(DEGs)were determined from the human H1N1 influenza dataset GSE90732 available in the Gene Expression Omnibus database(GEO).H1N1-Homo sapiens-related protein-protein interactions(PPIs)were gathered from the Pathogen-Host Interaction Search Tool(PHISTO).The above mentioned bioinformatic datasets were integrated.Then a PPI network and a Formula-virus-host interaction network were constructed using Cytoscape.Functional enrichment analyses were performed by using R software.Finally,molecular docking was carried out to evaluate the binding activities between the key compounds and targets.Results A total of 1 252 active compounds,1 415 targets,951 influenza-related DEGs,and 10 142 H1N1-Homo sapiens-related PPIs were obtained.There were 72 intersection targets between the Modified Lugen Formula and influenza.Functional enrichment analyses showed that these targets are closely related to host defense and programmed cell death.The network topological analysis showed that active compounds in the Modified Lugen Formula,such as oleanolic acid,γ-undecalactone,and longispinogenin,regulate viral proteins M2,NA,NS1,and HA and/or the host factors HSP90AA1,NRAS,and ITGB1,thus exert therapeutic effect.Molecular docking results confirmed that these compounds had a good binding ability with the targets.Conclusion Multiple active ingredients in Modified Lugen Formula directly target influenza virus proteins and/or host factors,thereby play an anti-influenza role in multiple dimensions,including inhibiting virus replication,regulating host defense and cell death.This study provides a theoretical basis for further experimental analysis of the action mechanism of the Modified Lugen Formula in treating influenza.

OBJECTIVE：To provide reference f or the qualit y sta ndard establishment of Amaranthus retroflexus. METHODS ： Taking 7 batches of A. retroflexus medicinal materials as the research object ，the appearance properties of the medicinal materials were investigated ，and the microscopic characteristics of the medicinal powders were observed. TLC method was adopted to qualitatively identify rutin ，valine and leucine in A. retroflexus medicinal materials. According to the relevant methods of the 2015 edition of Chinese Pharmacopoeia （part Ⅳ），water content ，total ash content ，acid-insoluble ash content and water-soluble extract content were determined. HPLC method was used to determine the content of rutin in the medicinal material of A. retroflexus . The determination was performed on Agilent 5 TC-C18（2）column with mobile phase consisted of methanol- 0.3％ phosphoric acid solution（40∶60，V/V），at the flow rate of 1.0 mL/min. The detection wavelength was set at 358 nm，and the column temperature was 30 ℃. The sample size was 10 μL. RESULTS：The appearance and microstructure characteristics of the medicinal materials were consistent with the existing description. The identification results of TLC meth od showed that 7 batches of medicinal materials and each reference substance （rutin，valine，leucine）showed spots of the same color at the same position. The moisture content of 7 batches of A. retroflexus medicinal materials was 7.43％-8.72％，the total ash content was 11.82％-13.78％，the acid-insoluble ash content was 0.15％-0.55％，and the water-soluble extract content was 17.27％-24.74％. The linear range of rutin was 10-200 μg/mL（R 2＝1.000 0）. RSDs of precision test ，stability test （24 h）and repeatability test were all less than 2.0％ （n＝6）. The average recovery rates of rutin were 99.14％，97.98％ and 98.80％ in low ，medium and high concentration of samples，and RSDs were 0.97％，0.95％，0.96％（n＝3）. The contents of rutin in 7 batches of A. retrophylla were 0.314-1.102 mg/g. CONCLUSIONS：In this study ，character observation ，microscopic identification ，moisture content ，total ash content ，acid- insoluble ash content and water-soluble extract content of A. retroflexus are investigated ；TLC method was established for qualitative identification of leucine ，valine and rutin in A. retroflexus ，and the HPLC method was established for content determination of rutin. It provides reference for the quality standard establishment of A. retroflexus .

Objective:To investigate magnetic resonance imaging (MRI) findings of primary ovarian leiomyoma (POL) and improve the understanding of the disease.Methods:The clinical data of four cases of POL confirmed by surgical pathology who received treatment in Huadu District People's Hospital between September 2006 and August 2018 were retrospectively analyzed. MRI manifestations and pathological features of POL were analyzed.Results:In four cases, POL occurred in unilateral ovarium and appeared to be a single quasi round mass with complete capsule and clear boundary. A solid mass was observed in three cases and a cystic solid mass in one case. Subcapsular effusion was observed in three cases with a relatively large tumor body. Typical MRI findings were iso-intensity or slight hypo-intensity signal on T 1WI, hypo-intensity signal on T 2WI and diffusion-weighted images. The solid part on enhanced scan was enhanced synchronously with the uterus. Atypical T 2WI findings included cystic changes as shown by varying degrees of hyper-intensity signal, and the cystic change area was not enhanced. The internal signal and pathological features of POL were similar to those of uterine leiomyoma. Conclusion:The research results are highly innovative and scientific. MRI is of great significance in the diagnosis and differential diagnosis of POL.

Objective:To explore the potential Hub genes, key miRNAs, biological processes and related signaling pathways in the pathogenesis of osteoarthritis (OA), and provide bioinformatics basis for the pathogenesis and treatment of OA.Methods:The expression profiling chip of OA synovial tissue sample from Gene Expression Omnibus (GEO) were downloaded, differentially expressed genes (DEGs) were identified, and functional enrichment analysis was performed. A protein-protein interaction network (PPI) was constructed. STRING and Cytoscape was used for module analysis, and the Hub gene was further identified, and further miRNAs mining of the Hub gene was carried out.Results:Finally, 9 Hub genes (SOCS3, BTRC, FBXO32, KLHL22, UBE3A, HUWE1, UBR4, ANAPC5, TRIM50) and 2 key miRNAs (hsa-miR-103a-3P, hsa-miR-107) related to the progression of OA were identified .They might be potential biomarkers for the pathogenesis of OA. We also found that signal transduction, the transcriptional positive regulation of RNA polymerase Ⅱ promoter, and protein serine/threoninase activity had a certain correlation with the pathogenesis of OA. In addition, our analysis results showed that cAMP signaling pathway and Rap1 signaling pathway were also involved in the progression of OA.Conclusion:The potential biological molecules, biological processes and related pathways identified in this study may guide us for the further research on the etiology and treatment of OA.

COVID-19 has brought a significant impact to the global health system, and also opportunities and challenges to epidemiological researches. Theoretical epidemiological models can simulate the process of epidemic in scenarios under different conditions. Therefore, modeling researches can analyze the epidemical trend of COVID-19, predict epidemical risks, and evaluate effects of different control measures and vaccine policies. Theoretical epidemiological modeling researches provide scientific advice for the prevention and control of infectious diseases, and play a crucial role in containing COVID-19 over the past year. In this study, we review the theoretical epidemiological modeling researches on COVID-19 and summarize the role of theoretical epidemiological models in the prevention and control of COVID-19, in order to provide reference for the combination of mathematical modeling and epidemic control.
COVID-19 ; Communicable Diseases/epidemiology* ; Humans ; Models, Theoretical ; SARS-CoV-2

Objective:In the context of COVID-19 pandemic, the epidemic severities, non-pharmaceutical intervention intensities, individual behavior patterns and vaccination coverage vary with countries in the world. China has experienced a long period without indigenous cases, unfortunately, multi local outbreaks caused by imported cases and other factors have been reported, posing great challenges to COVID-19 prevention and control in China. Thus it is necessary to explore the mechanisms of the re-emerged COVID-19 epidemics and their differences.Methods:Based on susceptible exposed infectious recovered (SEIR) epidemic dynamics model, we developed a set of novel evolution equations which can describe the dynamic processes of integrated influence of interventions, vaccination coverage and individual behavior changes on the re-emergency of COVID-19 epidemic. We developed methods to calculate the optimal intervention intensity and vaccination rate at which the size of susceptible population can be reduced to less than threshold for the re-emergency of COVID-19 epidemic.Results:If strong interventions or super interventions are lifted too early, even a small cause can lead to the re-emergence of COVID-19 epidemic at different degrees. Moreover, the stronger the early control measures lifted are, the more severe the epidemic is. The individual behavior changes for the susceptibility to the epidemic and the enhancement or lifting of prevention and control measures are key factors to influence the incidence the multi outbreaks of COVID-19. The optimist early intervention measures and timely optimization of vaccination can not only prevent the re-emergency of COVID-19 epidemic, but also effectively lower the peak of the first wave of the epidemic and delay its arrival.Conclusion:The study revealed that factors for the re-emergence of COVID-19 epidemics included the intensity and lifting of interventions, the change of individual behavior to the response of the epidemic, external incentives and the transmissibility of COVID-19.

Since December 2019, the outbreak of COVID-19 in Wuhan has spread rapidly due to population movement during the Spring Festival holidays. Since January 23rd, 2020, the strategies of containment and contact tracing followed by quarantine and isolation has been implemented extensively in mainland China, and the rates of detection and confirmation have been continuously increased, which have effectively suppressed the rapid spread of the epidemic. In the early stage of the outbreak of COVID-19, it is of great practical significance to analyze the transmission risk of the epidemic and evaluate the effectiveness and timeliness of prevention and control strategies by using mathematical models and combining with a small amount of real-time updated multi-source data. On the basis of our previous research, we systematically introduce how to establish the transmission dynamic models in line with current Chinese prevention and control strategies step by step, according to the different epidemic stages and the improvement of the data. By summarized our modelling and assessing ideas, the model formulations vary from autonomous to non-autonomous dynamic systems, the risk assessment index changes from the basic regeneration number to the effective regeneration number, and the epidemic development and assessment evolve from the early SEIHR transmission model-based dynamics to the recent dynamics which are mainly associated with the variation of the isolated and suspected population sizes.