Objective To establish a multiplex assay method for the simultaneous detection of FluA and FluB virus(IBV)antigen based on the flow cytometry(FCM)quantum dot-encoded bead technologies,laying the foundation for the assay of multiple respiratory virus biomarkers.Methods Coupling was performed for FluA and FluB nucleoprotein(NP)monoclonal antibodies using self-made quantum dot-encoded beads,separately.FCM was used to detect known concentrations of FluA and FluB antigens separately and simultaneously,optimize the detection conditions,and establish a joint detection method for FluA and FluB antigens.Compared with the quantitative real-time PCR(qPCR)method,clinical samples were used to evaluate the clinical performance of this joint detection method.Results The joint detection method for FluA and FluB antigens was established,with detection limits of 26.1 pg/ml and 10.7 pg/ml,respectively,and measurement ranges of 15.3～250 000 pg/ml.The joint detection method for clinical sample evaluation was well correlated with the qPCR,with a positive coincidence rate of 57.4%,a negative coincidence rate of 100%,and a total coincidence rate of 71.6%.In addition,the joint detection method was superior to colloidal gold immunochromatographic strip assay commonly used in clinical practice(positive coincidence rate of 56.49%,negative coincidence rate of 99.75%).Conclusion The FCM quantum dot-encoded bead multiplex assay can be used for the joint detection of FluA and FluB antigens,which have a high sensitivity,good specificity and wide detection range.It may lay a good foundation for the multiplex detection of common respiratory viruses,and has clinical application prospects.

Objective To analyze the values of serum tumor necrosis factor-α stimulated gene 6 protein (TSG-6) and type ⅩⅥ collagen (col-16) in predicting the prognosis of patients with ulcerative colitis (UC). Methods A total of 160 patients with UC were enrolled as UC group, another 160 volunteers were selected as control group, and the levels of serum TSG-6 and col-16 were compared between the two groups. According to the modified Mayo scoring criteria, patients in the UC group were divided into mild group (n=63), moderate group (n=52), and severe group (n=45), and the levels of serum TSG-6 and col-16 were compared among the three groups. Based on the colonoscopy follow-up results, patients in the UC group were divided into good prognosis group (n=121) and poor prognosis group (n=39), and the levels of serum TSG-6 and col-16 were compared between the two groups. Spearman correlation analysis was used to explore the correlations of serum TSG-6 and col-16 with the modified Mayo score. Logistic regression analysis was used to investigate the impact of serum TSG-6 and col-16 on the prognosis of patients in the UC group. Receiver operating characteristic (ROC) curve was used to assess the values of serum TSG-6 and col-16 in predicting the prognosis of patients in the UC group. Results The levels of serum TSG-6 and col-16 in the UC group were significantly higher than those in the control group (P < 0.01). The levels of serum TSG-6 and col-16 in the moderate and severe groups were significantly higher than those in the mild group, and the levels of serum TSG-6 and col-16 in the severe group were significantly higher than those in the moderate group (P < 0.01). The levels of serum TSG-6 and col-16 in the poor prognosis group were significantly higher than those in the good prognosis group (P < 0.01). Spearman correlation analysis showedthat serum TSG-6 and col-16 were positively correlated with the modified Mayo score (r=0.691, P < 0.05; r=0.635, P < 0.05). Logistic analysis results showed that serum TSG-6 and col-16 were risk factors for poor prognosis (P < 0.001). ROC curve analysis showed that the areas under the curve for predicting poor prognosis in patients with UC were 0.773 and 0.765 for serum TSG-6 and col-16, respectively. Conclusion The levels of serum TSG-6 and col-16 are abnormally elevated in patients with UC, and there is a certain correlation of the two indexes with the severity and prognosis of disease, and the two indexes can be used as predictors of poor prognosis.

Objective To investigate the effect of thalidomide combined with infliximab (IFX) in treatment of refractory inflammatory bowel disease (IBD) and its effects on insulin-like growth factor-1 (IGF-1) and transforming growth factor-β1 (TGF-β1). Methods A total of 120 patients with refractory IBD were randomly divided into experimental group and control group, with 60 cases in each group. The two groups were given conventional treatment (mesalazine), the control group was given IFX, and the experimental group was given IFX combined with thalidomide, continuous treatment for two months. The efficacy, intestinal flora disturbance rate, adverse reactions, Crohn's disease activity index (CDAI), Lewis score, serum IGF-1, TGF-β1 levels and nutritional status indexes[albumin (ALB), transferrin (Tf)]before and after treatment for 1 month and 2 months of the two groups were compared. Results The total effective rate of the experimental group was significantly higher than that of the control group (P < 0.05). After one month and two months of treatment, CDAI and Lewis scores of the experimental group were significantly lower than those of the control group (P < 0.05); the serum levels of IGF-1, TGF-β1 as well as ALB and Tf in the experimental group were significantly higher than those in the control group (P < 0.05). The improvement of intestinal flora disturbance rate in the experimental group was significantly better than that in the control group (P < 0.05). There was no significant difference in the incidence of oral and nasal mucosa dryness, throat discomfort, nausea and vomiting between two groups (P>0.05). Conclusion In the treatment of refractory IBD patients, thalidomide combined with IFX can regulate serum IGF-1 and TGF-β1 levels, effectively relieve clinical manifestations, inhibit inflammatory activities, and improve nutritional status and intestinal flora disorders of patients, and it has high safety.

Objective To investigate the prevalence and risk factors of hookworm infections among vegetable growers in Anhui Province, so as to provide the evidence for formulating the control strategy and interventions for hookworm human infections.. Methods A total of 1 179 vegetable growers were randomly sampled from 7 counties in Anhui province according to the natural ecological function areas in 2018 and 2019, and the basic features and risk factors of hookworm infections were collected from all subjects using a self-designed questionnaire, including living environment, vegetable planting and fertilization, type of household crops, animal feeding, hygiene and labor habits. In addition, stool samples were collected from all participants, and each stool sample was subjected to twice tests with the Kato-Katz technique. The risk factors of hookworm infections were identified among vegetable growers with the Bayesian log-binomial regression model. Results The prevalence of hookworm infection was 3.90% among the 1 179 vegetable growers. The prevalence of hookworm infection was 10.07% (15/149) among unemployed subjects, 5.32% (31/583) among farmers, and 0 among full-time vegetable growers (0/377) and subjects with other occupations (0/70), and there was a significant difference among subjects in terms of occupation (χ²=36.37, P < 0.01). Bayesian log-binomial regression analysis showed that fertilization with human feces [relative risk (RR)=18.25, 95% confidence interval (CI): (4.31, 77.17)], barefoot labor in vegetable fields [RR=2.86, 95% CI: (1.43, 5.70)], and living in plain ecological areas along the middle and lower reaches of the Yangtze River [RR=4.19, 95% CI: (1.19, 14.81)] were independent risk factors of hookworm infections among vegetable growers. Stratified analysis showed that fertilization with human feces, barefoot labor in vegetable fields, drinking well water or mountain spring, and living in plain ecological areas along the middle and lower reaches of the Yangtze River were independent risk factors of hookw, orm infection among farmers, and living in plain ecological areas along the middle and lower reaches of the Yangtze River and growing rice were independent risk factors of hookw, orm infection among unemployed individuals. Conclusions The prevalence of hookworm infection is high among vegetable growers in Anhui Province, and fertilization with human feces, barefoot labor in vegetable fields and living in plain ecological areas along the middle and lower reaches of the Yangtze River are risk factors of hookw, orm infections among vegetable growers.

ObjectiveTo explore and establish the liver injury risk prediction model of indirect toxicity of Chinese medicinals under the condition of compound formulas， and provide new ideas and methods for the study of evaluation of liver injury of Chinese medicinals based on indirect toxicity. MethodsTaking Buguzhi （Fructus Psoraleae） pre-parations as model drug， the combined Chinese medicinals with Buguzhi （Fructus Psoraleae） of high frequency are screened out， and their components and action targets were obtained through TCMSP， TCMIP and PharmMapper databases. The association strength value and risk value of Chinese medicinals that acted on the nuclear factor κB （NF-κB） pathway were analyzed. For those having greater values than the median association strength value and risk value were regarded as indirect Chinese medicinals of liver injury risk. In this way， a prediction model of liver injury risk of Chinese medicinals was constructed based on immune activation-related indirect liver injury process （taking NF-κB pathway as an example）. And verification of the prediction model was performed using Heshouwu （Radix Polygoni Multiflori） preparations. ResultsThe prediction model of liver injury risk based on important immunoactivated pathway （taking NF-κB pathway as an example） found that Yinyanghuo （Herba Epimedii） （association strength value = 0.18， risk value = 0.25） was a Chinese medicinal with potential risk of indirect liver injury within Buguzhi （Fructus Psoraleae） prepartions， which may increase the risk of liver injury by positively regulating Bruton's tyrosine kinase （Btk） and protein kinase C theta （PKCθ） on NF-κB pathway. Further verification of prediction model by Heshouwu （Radix Polygoni Multiflori） preparations showed that Buguzhi （Fructus Psoraleae） （association strength value = 0.25， risk value = 0.33） and Tusizi （Semen Cuscutae） （Semen Cuscutae， association strength value = 0.34， risk value = 0.33） may increase the liver injury risk of Heshouzu. ConclusionThe liver injury risk prediction model of indirect toxicity of Chinese medicinals has been constructed in this study， providing metho-dological reference for the identification of Chinese medicinals of indirect liver injury risk under the condition of compound formulas.

Objective To establish the intelligent identification method for the big data of liver injury-related adverse drug reaction (ADR) based on the construction of text database. Methods With the keywords including "drug-induced liver injury" and "abnormal liver function" and a search time of January 1, 2012 to December 31, 2016, 5% (4152 cases) of the case reports of liver injury-related ADR were retrieved and extracted from the China Adverse Drug Reaction Monitoring System, and then based on clinical reevaluation by physicians, these cases were classified into "negative cases", "suspected cases", and "confirmed cases". On this basis, key elements (including ADR name, biochemical parameter, and clinical symptoms) were identified. An intelligent identification method for liver injury-related ADR was established based on the correlation analysis between key elements and clinical reevaluation and the receiver operating characteristic (ROC) curve for determining cut-off values, and the method of cross validation was used to evaluate the performance of this intelligent identification method. Results The formula for the evaluation and identification of liver injury-related ADR was as follows: total score (M)=symptom score+index score+ADR name score. This formula showed the best discriminatory ability to distinguish "negative case" from "suspected case" or "confirmed case" at M=5 (area under the ROC curve [AUC]=0.97), with a sensitivity of 99.57% and a specificity of 84.61%, and it showed the best discriminatory ability to distinguish "confirmed case" from "suspected case" or "negative case" at M=12 (AUC=0.938), with a sensitivity of 87.93% and a specificity of 85.98%. Conclusion This method provides reference and basis for intelligent identification and evaluation of big data on liver injury-related ADR and is expected to effectively reduce the burden of manual processing of ADR big data and provide effective tools and methodological demonstration for early risk signal identification and warning of liver injury-related ADR.

Objective To investigate the potential medication risk by identifying and analyzing the features of liver-related adverse drug reaction (ADR) in pregnant women. Methods A retrospective study was performed for the reports on liver-related ADR in pregnant women from January 1, 2012 to December 31, 2016 in HILI Cloud (hilicloud.net). Main clinical features and medication rules were analyzed, and reporting odds ratio ( ROR ) was used to analyze the relative risk of related drugs. Results Methotrexate, mifepristone, and ritodrine were the high-frequency drugs reported for liver-related ADR in pregnant women and were mainly used for termination of ectopic pregnancy and treatment of hydatidiform mole. The relative risk analysis of liver-related ADR showed that in pregnant women, the use of methotrexate ( ROR =37.52, 95% confidence interval [ CI ]=31.35-44.89), progesterone ( ROR =7.33, 95% CI : 2.75-19.59), and dydrogesterone ( ROR =6.58, 95% CI : 2.20-19.69) was strongly associated with the risk of liver injury, and the association of methotrexate with the risk of liver injury in pregnant women was significantly stronger than that in non-pregnant women ( ROR =1.71, 95% CI : 1.47-4.36). Conclusion The potential risk of liver injury should be taken seriously in pregnant women using the drugs such as methotrexate and progesterone, so as to avoid serious adverse reactions.

Objective: Although some studies have linked Asari Radix et Rhizoma (Asari Radix) administration to hepatocellular carcinoma (HCC), few studies have examined the association between the development of HCC and use of Asari Radix among patients in mainland China. This study aimed to evaluate the real-world association between Asari Radix and HCC in patients to strengthen the understanding of Asari Radix safety. Methods: A retrospective cohort study among hepatitis B virus (HBV)-monoinfected patients and non-HBV-monoinfected patients were performed. Patients over 18 years of age were eligible for inclusion. Prescription records of inpatients and outpatients were inquired to distinguish Asari Radix users and nonusers. The risk of developing HCC among Asari Radix users and nonusers in the HBV cohort and the non-HBV cohort was analyzed. Results: There were 49 500 HBV and 133 148 non-HBV patients involved in the two cohorts. Among HBV patients (2 901 users; 46 599 nonusers), the prevalence of HCC in Asari Radix users was lower than that in nonusers (145.70 vs. 265.43 per 10

Objective: To establish a reliable and sensitive method for evaluating quality of Yiqi Jiangzhi Granules (YQJZG). Methods: Ultra performance liquid chromatography electrospray ionization tandem mass spectrometry (UPLC-ESI-MS/MS) was employed for simultaneous determination of eight marker components. Separation was performed on an AQUITY UPLC® HSS T3 column, the mobile phase consisted of acetonitrile as the organic phase and 0.1% (volume percentage) formic acid as the aqueous. Eight marker components, ginsenoside Rg1 (GRg1), ginsenoside Re (GRe), ginsenoside Rb1 (Gb1), typhaneoside (TEO), isorhamnetin-3-O-neohespeidoside (IN), hesperidin (HPD), aurantio-obtusin-6-O-β-D-glucoside (AG) and curcumin (CCM), were detected by multiple reaction monitoring (MRM) mode. The Chinese Pharmacopoeia (2020 edition) was regarded as the guidance document for this method validation. Results: The method showed good linearity (R