title: Serum proteomic profiling analysis of chronic arsenic exposure by using SELDI-TOF-MS technology.
abstract: This study was to investigate the differences in serum proteomic profiling among subjects exposed to different levels of arsenic in drinking water and to identify proteins related to arsenicosis. A total of 148 subjects from endemic regions of China were selected and divided into low (0-8.30 microg/L), medium (16.30-37.60 microg/L) and high (140.88-273.67 microg/L) exposure groups. High exposure group consisted of subjects with and without skin lesions. Serum proteomic profiling was analyzed by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) technology. Twenty proteins were found significantly different among three groups. Further multivariate logistic regression revealed that no different proteins existed in medium versus low exposure group. A panel of five proteins, including m/z of 15167.7, 7783.1, 7580.7, 2952.6 and 2237.4, was seen in high versus low exposure group, with a sensitivity of 93.0% and specificity of 87.5%. The same panel was found in high versus a combination of low and medium exposure groups but with somewhat lower predicting power. Only one protein was significantly different between high exposure group with and without skin lesions. The results indicate that high levels of arsenic exposure could significantly change human serum proteomic profiling, which can be detected before skin lesions occur.
authors.affiliation: Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin 150081, China.
authors.forename: Lijun
authors.initials: L
authors.lastname: Zhao
authors.forename: Yanhui
authors.initials: Y
authors.lastname: Gao
authors.forename: Yanmei
authors.initials: Y
authors.lastname: Yang
authors.forename: Yudan
authors.initials: Y
authors.lastname: Wei
authors.forename: Yuanyuan
authors.initials: Y
authors.lastname: Li
authors.forename: Hongqi
authors.initials: H
authors.lastname: Feng
authors.forename: Wei
authors.initials: W
authors.lastname: Wei
authors.forename: Yunpeng
authors.initials: Y
authors.lastname: Ding
authors.forename: Dianjun
authors.initials: D
authors.lastname: Sun
mesh_terms: D000328:Adult; D000368:Aged; D001151:Arsenic / Q000097:blood / Q000633:toxicity*; D015415:Biomarkers / Q000097:blood; D001798:Blood Proteins / Q000032:analysis*; D002681:China; D004781:Environmental Exposure / Q000032:analysis*; D005260:Female; D005618:Fresh Water / Q000737:chemistry; D006801:Humans; D008297:Male; D008875:Middle Aged; D020543:Proteome / Q000187:drug effects / Q000378:metabolism*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D014874:Water Pollutants, Chemical / Q000097:blood / Q000633:toxicity*
chemical_list: D015415:Biomarkers; D001798:Blood Proteins; D020543:Proteome; D014874:Water Pollutants, Chemical; D001151:Arsenic