Proteomics is an important high throughout method in modern life science.In this paper,the definition,background and methods used in proteomics were introduced,and the last part was focused on its application in parasitology.

Objectives To evaluate the application of flow-through hybrization and gene chip (HybriMax) on human papillomavious (HPV) subtype detection in clinical.Method 3 086 sexually active females from out-patient department were selected for HPV subtype analysis using HybriMax. Cervical tissue samples were taken under the colposcope from 463 females who had cervical lesion for pathological analysis. The predictive value of HybriMax in cervical abnormality was compared with pathological results, which were used as a golden standard. DNA sequence in HPV E6/E7 region was performed among 80 females with HPV 16 positive by HybriMax to determine the accuracy of HybriMax.Results All 21 different subtypes were found and total HPV positive rate was 63.1%(1 947/3 086). Among the 21 HPV subtypes, 5 of them had a infection rate over 5% and they were HPH16(15.9%, 490/3 086), 58(11.2%, 346/3 086), 52(8.5%、261/3 086)、33(6.3%、195/3 086)、53(6.2%、192/3 086)、6(5.6%、172/3 086), and CP8304(5.0%、155/3 086). The sensitivity for high degree squamous intraepithelial dysplasia(HSIL, CINⅡ+CINⅢ) by HybriMax was 95.49%(95%CI=95.44%～98.27%), while specificity was 34.85%(95% CI= 32.59%～37.57%)、Positive predictive value for HSIL was 37.13%(95%CI=30.79%～40.96%),while negative predictive vale was 95.04%(95%CI=89.24%～98.44%). Eighty sequence results in E6/E7 region completely matched to HybriMax results.Conclusion HybriMax has a high accurate rate in HPV subtype diction with good sensitivity and specificity for HSIL and above. It is an effective method to detect HPV subtype in clinical.

Objective To explore an efficient way to modulate the expression of estrogen receptor (ER) ? and ?, and to build up a model of endometrial cancer cell expressing predominantly one isoform of ER and to verify the roles of ER ? and ? in the tumorigenesis of endometrial cancer associated with estrogen and tamoxifen (TAM). Methods A series of oligodeoxyribonucleotides (ODN) against ? or ? regions of ER ? or ? were synthesized and tested in human endometrial cancer cell lines (Ishikawa) that express functional ER ? and ?. The expressions of two ER isoforms were detected by western blot using specific antibodies. Then we studied the change of Ishikawa proliferation in response to 17?-estradiol and TAM under the influence of antisense ODN. Results (1) Transfection with antisense ODN directed against the ER? and ER? could significantly inhibit target protein production. (2) 17?-estradiol could increase the proliferation of Ishikawa cells, but they lost the ability to proliferate in response to 17?-estradiol after transfected with ER? antisense ODN especially at hours 24, 48 and 72 ( P

Objective To identify a myeloid differentiation factor 88(MyD88)in Oncomelania hupensis,and characterize the role of MyD88 against Schistosoma japonicum infection. Methods The complete cDNA of MyD88 in O. hupensis was ob-tained by using rapid amplification of cDNA ends(RACE),and homologues sequences and conserved domains were aligned and the structure of MyD88 was predicted either. A phylogenetic tree of MyD88 was further constructed with other species. In ad-dition,the mRNA expression level of O. hupensis MyD88 before and after S. japonicum infection was investigated by real-time quantitative PCR(RT-qPCR). Results The cDNA of O. hupensis MyD88 consisted of 1406 bp open reading frame(ORF),en-coding 468 amino acid residues,which contained death domain and Toll/interlrukin-1 receptor(TIR)domain,the typical fea-tures of MyD88 family proteins. The predicted amino acid sequence of O. hupensis MyD88 shared 38%-52%identity with other mollusc. O. hupensis MyD88 was phylogenetically closeted to Biomphalaria glabrata MyD88. The O. hupensis MyD88 existed in all selected tissues and expressed highly in hemocyte,up-regulated after S. japonicum infection in all selected tissues except cephalopodium,especially higher in whole snail and hemocyte. Conclusion MyD88-dependent signaling pathway is present in O. hupensis and plays an important role in innate immune response against S. japonicum infection.

Objective To discuss the diagnosis,treatment and following-up of cervical intraepithelial neoplasia (CIN) during pregnancy.Methods Eighteen pregnant women with CIN,presented to the hospital from Jan.2004 to May.2008,were retrospectively reviewed.Pap smear,HPV,copolscopy and cervical biopsy were performed for diagnosis and all were followed up by Pap smear and copolscopy during pregnancy every 12 weeks,while 15 were followed up until 6-8 weeks postpartum.Results The incidence of CIN during pregnancy was 0.16%.All of the 18 women had abnormal Pap smear,followed by colopscopy and biopsy.Conservative management during the pregnancies every 3 months showed no progress in CIN.Among the 18 cases,17 delivered at term and only 1 preterm (36+4 weeks).Two out of the 18 women had normal delivery (11.1%),2 by forceps(11.1 %) and 14 by cesarean sections (77.8%).No neonatal apnea or neonatal respiratory distress syndrome had been observed.Pathological diagnosis was confirmed in all cases prenatally,including 4 CIN1,4 CIN2 and 10 CIN3.Four out of the 10 CIN3 remained after delivery,while 1 changed to CIN2.These 5 cases underwent leep electrical excision procedure and Pap smear results turned to normal at 6 to 11 months after delivery.One HSIL case were lost.The rest 4 CIN3 and all of the 8 CIN1 and CIN2 cases turned to normal or lesser degree.Fourteen of the 18 women received HPV test during pregnancy,and 12 (85.7%) were positive,among which 7 women were followed up at postpartum and 6 of them were HPV positive.Conclusions The three steps method for diagnosis of CIN during pregnancy is safe and effective.Conservative management of CIN during pregnancy is recommended.

Objective To understand the immigrants' recognition of schistosomiasis and their relevant behaviors in the South-North Water-Diversion Middle-line Project areas in Hubei Province.Methods The investigation objects were selected by the method of stratified sampling among immigrants in the project areas and were surveyed through oral interview and questionnaire.Results A total of 1 010 immigrants were investigated and 1 005 questionnaires were indentified as effective ones.The awareness rates of schistosomiasis and the correct rates of related behaviors among the immigrants were still not satisfying.Conclusions The immigrants' recognition of schistosomiasis and their relevant behaviors in South-North Water-Diversion Middle-line Project areas in Hubei Province still need to be improved through health education and other measures.

Objective To assess the distribution of vaginal microflora in healthy women and investigate their cognition of lower reproductive tract infection-related knowledge as well as personal hygiene habits and character of behavior in seeking medical treatment. Methods Total of 1660 healthy women who had physical check-ups at the Medical Center of Renji Hospital were selected and received gynecologic examination, as well as routine examination, pH examination and bacterial culture of the vaginal discharge. In addition, 860 of them were randomly selected for questionnaire survey, in which reproductive tract infection -related knowledge and personal hygiene habits as well as behavior in seeking medical treatment were involved. Results Among the 1660 eensused women, vaginal average pH was 4. 16±0.21. The positive rate of Candida in vaginal discharge routine examination was 3.86% (64/1660), which was lower than that in aerobes culture 7.71% (128/1660). Candida alhicans was the most populous species 78.9% (101/128) ,followed by 7.8% (10/128) and 7.0% (9/128) for the Candida glabrata and Candida krusei respectively. The most populous species of vaginal microflora were hemolytic streptococcus A (63.80%, 1059/1660), Staphylococcus epidermidis (14.28%, 237/1660), and Enterococcus faecalis (D) group ( 11.44%, 190/1660). The questionnaire survey showed that 88.4% (760/860) of 860 women took active treatment when feeling unwell, 92.1% (792/860) of them had good hygiene practices, and only 21.2% (182/860) had the habit of vaginal douching. In addition, 50.0% (430/860) of them had the desire to obtain reproductive health knowledge through out-patient consultation. Conclusions Vulvovaginal Candida disease ranks the first in all types of vaginitis, among which, Candida albicans is the most populous species followed by the Candida glabrata and Candida krusei. Hemolytic streptococcus A and Staphylococcus epidermidis are the most common species of vaginal mieroflora in healthy women. The censused women have high awareness of reproductive health care and pay mueh attention to common gynecologic diseases such as lower reproductive tract infection. Nevertheless, we should strengthen the public education of reproductive health-related knowledge.

Objective To evaluate the value of human epididymis secretory protein 4(HE4)and CAl25 in the diagnosis of ovariall malignancy.Methods HF4 and CA125 in the serum specimens of malignant ovarian tumor group(30 cases),benign ovarian diseases(110 cases;45 benign ovarian tumor,57endometriotic diseases and 8 pelvic inflammation were included) and healthy women group( 137 cases)were assayed double blindly . The levels and the diagnosis efficiency of the HE4 and CA125 were analyzed.Results (1) The median levels of HE4 and CA125 were significantly higher in malignant ovarian tumor group (244 pmoi/L and 601 kU/L respectively) than those of the benign ovarian diseases group( 32 pmol/L and 22 kU/L respectively)and healthy women group (32 pmoi/L and 11 kU/L respectively) (P =0. 000-0. 029). The median levels of CA125 were also higher in endometriotic diseases and pelvic inflammation groups(53 and 41 kU/L respectively) than those of benign ovarian tumor group and healthy women group (12 and 11 kU/L respectively;P = 0. 000-0. 031 ). (2) The positive rate of HE4 was lower than that of CA12s in malignant ovarian tumor group ( P = 0. 036 ). HE4 was negative in benign diseases and healthy women groups. But the positive rates of CA125 were 56. 1% and 5/8 respectively in endometriotic diseases and pelvic inflammation groups and there were significant differences compared with HE4( P =0. 000). (3)The HE4 assay had advantage over the CA125 assay in receiver operating characteristic-area under the curve (ROC-AUC) and sensitivity with a specificity of 100% when ovarian malignancy was compared with controls having benign diseases and healthy women, benign tumor or benign diseases groups respectively. The CA125 assay had advantage over the HE4 assay in ROC-AUC and sensitivity with the same specificity when ovarian cancers were compared with controls having healthy women group. (4) Combined assay of HE4 and CA125was better than CA125 alone when ovarian malignancy was compared with controls having any group. (5)Combined assay was better than HE4 alone in ROC-AUC and sensitivity with the same specificity when ovarian cancers were compared with controls having benign diseases and healthy women or healthy women groups. And combined assay was lower in the ROC-AUC and the sensitivity with specificity of 100% than HE4 when ovarian cancers were compared with controls having benign tumors or benign diseases groups respectively. (6) The diagnosis efficiency of the HE4 assay at the level 86 pmol/L determined in ROC curve with controls having benign diseases and healthy women group and at the 95% reference level 50 pmol/L of healthy women or 150 pmol/L recommended by the kit respectively was compared. The sensitivity of 50 pmol/L was 73% higher than 150 pmol/L and 86 pmoi/L, while the specificity and positive predictive value were lower ( P = 0. 002, P = 0. 000 ). The specificity, accuracy and positive predictive value of HE4 assay at the set point of 150 pmol/L and 86 pmol/L were 100%, 96% and 96%. The set point of 86 pmol/L had advantage over 150 pmol/L at the sensitivity of diagnosis, 70% and 63% respectively. But the positive predictive value was 95% lower than 150 pmol/L, being 100%. There was no significant difference( P =0. 883, P = 0. 883 ). Conclusions The specificity of HF4 assay is higher than CA125 assay in the diagnosis of ovarian cancer and HE4 combined with CA125 assay can improve the diagnoses. The set point of 150 pmol/L is advantageous for the accurate diagnosis, while the set point of 86 pmol/L is advantageous for the screening of malignant ovarian cancer.

Objective To investigate the relationship of the expression of peripheral T helper type 9 (Th9) cells and their related cytokines with the severity and clinical course of alopecia areata,and to explore their significance in the occurrence of alopecia areata.Methods From May to December in 2017,74 outpatients with alopecia areata enrolled from Department of Dermatology,Huashan Hospital,Fudan University served as the alopecia areata group,and 57 health checkup examinees in Huashan Hospital served as the control group.Peripheral blood samples were obtained from the patients and controls.Enzyme-linked immunosorbent assay (ELISA) was performed to detect the serum levels of interleukin (IL)-9,IL-4,transforming growth factor (TGF)-β1 and interferon (IFN)-γ,flow cytometry to determine the proportion of Th9 cells (CD4+IL-9+ T helper cells) in peripheral blood mononuclear cells (PBMC),and real-time fluorescence-based quantitative PCR to measure the mRNA expression of IL-9 and PU.1 in the PBMCs.Data were recorded in Microsoft Excel 2017 software,and statistically analyzed with SPSS17.0 software using two-sample t test and Spearman rank correlation analysis.Statistical charts were drawn with Graphpad prism 6 software.Results Compared with the control group,the alopecia areata group showed significantly decreased serum level of IL-9 (190.40 ± 12.33 ng/L vs.288.10 ± 17.38 ng/L,t =4.71,P ＜ 0.01),but significantly increased serum levels of TGF-β1 (6 191.00 ± 355.50 ng/L vs.4 026.00 ± 258.00 ng/L,t =4.41,P ＜ 0.05) and IFN-γ(15.71 ± 3.00 ng/L vs.8.79 ± 0.60 ng/L,t =2.001,P ＜ 0.05).However,there was no significant difference in the serum level of IL-4 between the alopecia areata group and control group (P ＞ 0.05).The serum level of IFN-γ was significantly lower in the patients with severe alopecia areata than in the patients with mild alopecia areata (P =0.02),and the serum level of IFN-γ in the patients with alopecia areata was negatively correlated with the severity of alopecia tool (SALT) score (ru =-0.298,P =0.010).There were no significant differences in the serum levels of IL-9,IL-4 and TGF-β1 between the patients with severe alopecia areata and those with mild alopecia areata (all P ＞ 0.05).The serum levels of IL-9,IL-4,TGF-β1 and IFN-γdid not differ between the patients with active alopecia areata and those with stable alopecia areata,as well as between the patients with clinical course of ＜ 6 months and those with clinical course of ＞ 6 months (P ＞ 0.05).The alopecia areata group showed significantly decreased proportion of Th9 cells in the PBMCs (t =2.04,P =0.045) and mRNA expression of IL-9 and PU.1 (t =2.12,2.178,both P ＜ 0.05) compared with the control group.Condusion The serum level of IL-9 and proportion of peripheral blood Th9 cells both decrease in patients with alopecia areata,and Th9 cells and their related cytokines may be involved in the occurrence of alopecia areata.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.