Diagnostic model of saliva protein finger print analysis of patients with gastric cancer

AIM:To explore the method for early diagnosis of gastric cancer by screening the expression spectrum of saliva protein in gastric cancer patients using mass spectrometry for proteomics.METHODS:Proportional peptide mass fingerprints were obtained by analysis based on proteomics matrix-assisted laser desorption ionization time-of-flight/mass spectrometry.A diagnosis model was established using weak cation exchange magnetic beads to test saliva specimens from gastric cancer patients and healthy subjects.RESULTS:Significant differences were observed in the mass to charge ratio(m/z) peaks of four proteins(1472.78 Da,2936.49 Da,6556.81 Da and 7081.17 Da) between gastric cancer patients and healthy subjects.CONCLUSION:The finger print mass spectrum of saliva protein in patients with gastric cancer can be established using gastric cancer proteomics.A diagnostic model for distinguishing protein expression mass spectra of gastric cancer from non-gastric-cancer saliva can be established according to the different expression of proteins 1472.78 Da,2936.49 Da,6556.81 Da and 7081.17 Da.The method for early diagnosis of gastric cancer is of certain value for screening special biological markers.

Glutathione S-transferase(GST) gene expression profiles in two marine bivalves exposed to BDE-47 and their potential molecular mechanisms

Glutathione S-transferases （GSTs） are phase II enzymes that facilitate the detoxification of xenobioties and play important roles in antioxidant defense. We investigated the expression patterns of seven Venerupis philippinarum GSTs （VpGSTs） and four Mytilus galloprovincialis GSTs （MgGSTs） following exposure to BDE-47. Differential expressions of the seven VpGSTs and four MgGSTs transcripts were observed, with differences between the hepatopancreas and gills. Among these GSTs, the sigma classes （VpGSTS1, VpGSTS2, VpGSTS3, MgGST1, and MgGST3） were highly expressed in response to BDE-47 exposure, demonstrating their potential as molecular biomarkers for environmental biomonitoring studies. We obtained the three-dimensional crystal structures of VpGSTs and MgGSTs by homologous modeling. A model to elucidate the binding interactions between the ligands and receptors was defined by molecular docking, Hydrophobic and n were the most often observed interactions between BDE-47 and the GSTs.

Murine brain tissues with human cytomegalovirus infection: a proteomic study

To establish two-dimensional electrophoresis profiles with high resolution and reproducibility from murine brain tissues by human cytomegalovirus（HCMV） infection and paired murine brain tissues and to identify the differential expression proteins. Methods： Forty Kunming mice were randomly divided into infection group （20） injected with HCMVAD169 and control group （20） injected with saline into their brain. After 30 days, the murine brain tissues by HCMV infection and paired murine brain tissues were separated by two-dimensional gel electrophoresis（2-DE）, analyzed by Image Master 2D software, and identified by peptide mass fingerprint（PMF） and database searching, and make Western blotting analyses the differential expression of individual proteins. Results： Well resolved, reproducible 2-D maps of the above tissues were obtained. Some of the different proteins identified by mass spectrometry（MS） were matched in the SWISS-2D PAGE database, Western blotting analyses were further carried out to verify the differential expression of individual proteins. Conclusion： These data will be valuable for studying the diagnosis of disease at an early stage, mechanisms of pathogenic and the key to the development of anti-HCMV medicine.

VeriStrat在非小细胞肺癌等肿瘤个体化治疗中的应用现状

肽谱分(VeriStrat)是一种基于血液蛋白质组学试验,用于非小细胞肺癌(non-small cell lung cancer,NSCLC)患者用药效果的预测性和预后性分类测试方法。该测试时患者被分类为VeriStrat-Good组和Veri Strat-Poor组,通过表征宿主对肿瘤的反应来评估疾病的侵袭性,还可用于NSCLC的精准医学诊断。我们对VeriStrat在临床的应用现状进行阐述,并分析探讨VeriStrat在NSCLC及其他肿瘤个体化治疗中的临床价值,以推动肿瘤个体化治疗的进步。