Objective To explore the diagnostic model and clinical application value of serum proteomic fingerprint in inflammatory bowel disease (IBD) .Methods Serum proteome profiles of 72 IBD patients (54 Crohn′s disease (CD) and 18 ulcerative colitis (UC) and 44 healthy controls were analyzed by the weak cation exchange (WCX) beads combined matrix‐assisted laser desorption/ionization time of flight mass spectrometry (MALDI‐TOF‐MS ) technique . Among three groups , every two groups were compared .Wilcoxon rank sum test was used to screen out the peaks of difference expressed protein (P<0 .05) .Genetic algorithm combining with support vector machine (SVM ) was utilized to select the best diagnostic model .The predictive effects of this model was evaluated by leave one out method (LOO ) . Results The 10 most discriminating protein peaks were screened out between CD group and healthy control group , between UC group and healthy control group , between CD group and UC group . A diagnostic model established with four protein peaks ,the mass‐to‐charge ratio (M /Z ) of them was 3 275 .29 ,4 963 .91 ,4 980 .53 and 5 336 .90 ,could better distinguish CD and healthy controls .The specificity was 97 .7% ,and the sensitivity was 92 .6% in CD diagnosis .A diagnostic model established with four protein peaks ,the M /Z of them was 2 272 .41 ,2 660 .42 ,3 029 .77 and 5 002 .78 ,could better distinguish UC and healthy controls .The specificity was 100 .0% ,and the sensitivity was 94 .4% .A specificity was 50 .0% and sensitivity was 88 .9% in CD diagnosis with the diagnostic model of six protein peaks and the M /Z of them was 2 082 .63 ,2 210 .64 ,4 039 .02 ,4 298 .30 ,4 978 .03 ,5 002 .22 .Conclusion The diagnostic model of serum difference expressed protein in CD and UC is established by MALDI‐TOF‐MS technique and genetic algorithm combining with SVM ,which has high diagnostic value in IBD .

Objective:To explore the diagnostic value of endoscopic ultrasonography (EUS) for duodenal accessory papilla.Methods:Data of 122 cases of duodenal accessory papilla diagnosed by EUS at the endoscopy center of the First Affiliated Hospital of Zhejiang University School of Medicine from February 28, 2006 to February 28, 2018 were analyzed and summarized.Results:Of the 122 duodenal accessory papilla cases, the age was 52.1±12.9, with more males than females. The most common site of duodenal accessory papillae was the descending part above the papilla (88/122, 72.13%), followed by the junction of duodenal bulb and descending part (29/122, 23.77%), and a small proportion of lesions located in the duodenal bulb (5/122, 4.10%). Duodenal accessory papillae were all solitary, whose diameter mostly ranged 0.5-1.0 cm (88/122, 72.13%), a smaller proportion of diameter larger than 1.0 cm (23/122, 18.85%), and only a few with diameter less than 0.5 cm (11/122, 9.02%). Most duodenal accessory papillae were hypoechoic (71/122, 58.20%) or moderate to low echogenic (35/122, 28.68%), and the echoes were mostly homogeneous. The mucosa layer was smooth, with a sphincteroid structure in the submucosa and below. The boundary of the duodenal accessory papillae was mostly clear (121/122, 99.18%) and characteristic lacunar cavity structures were often seen in the center (83/122, 68.03%). The surrounding intestinal wall was normal and no associated enlarged lymph nodes were found around the intestine.Conclusion:EUS can clearly show the structure of duodenal accessory papilla and adjacent organs, and is of high value for the diagnosis of duodenal accessory papilla.

Objective: To screen and identify serum protein biomarkers for the differential diagnosis between ischemic colitis (IC) and ulcerative colitis (UC) by tandem mass tag (TMT) combined with liquid chromatography/tandem mass spectrometry (LC-MS/MS). Methods: From January 2018 to January 2019, at the First Affiliated Hospital of School of Medicine of Zhejiang University, patients with UC or IC, and health controls, each 10 cases, were enrolled into UC group, IC group and normal control (NC) group, respectively. Fasting serum samples of all the subjects were collected. After removal of high-abundance protein, followed by proteolysis, peptide labeling and fractionating, the samples were then processed by mass spectrometry. The protein with TMT data of three groups was obtained and protein with TMT value 0 were removed. Heat map of protein was constructed. The differential protein was defined as the protein fold change over 1.5 or less than 0.67. The Reactome database was used to cluster the pathways of differential proteins among groups. Statistical methods included t test, hypergeometry test and corrected by BH multiple test. Results: A total of 357 serum proteins were identified by proteomic profiling. There were 27 differential proteins between the IC group and the NC group, including six up-regulated proteins and 21 down-regulated proteins. There were 228 differential proteins between the UC group and the NC group, including 75 up-regulated proteins and 153 down-regulated proteins. There were 49 differential proteins between UC group and IC group, including 22 up-regulated proteins and 27 down-regulated proteins. In the comparison of differential proteins between the NC group, IC group and UC group, only the expression of fibrin 3 was statistically significant (the fold change between UC and NC, between UC and IC, between IC and NC were 0.24, 0.46 and 0.53, respectively; t=-5.089, -7.298 and -3.919, all P<0.01). The results of pathway cluster analysis showed that in the comparison of differential proteins between IC group and NC group, only the platelet degranulation pathway was enriched, and 10 proteins were involved in this pathway (P<0.01). In the comparison of differential proteins between UC group and NC group, there were 58 pathways enriched, of which 38 proteins were involved in the platelet degranulation pathway, 16 proteins were involved in the initial complement trigger pathway, 13 proteins were involved in the complement cascade pathway, and 11 proteins were involved in antibody-mediated complement activation pathway (all P<0.01). In the comparison of differential proteins between UC group and IC group, three different pathways were obtained. Among them, nine proteins were involved in the platelet degranulation pathway, seven proteins were involved in the initial complement trigger pathway, and five proteins were involved in the complement cascade pathway (all P<0.01). Conclusions The difference in serum proteome between IC patients and UC patients was significant, and the differential proteins are mainly involved in platelet activation and complement activation. The candidate proteins identified in this study may be used as biomarkers for the differential diagnosis of UC and IC in the future.