Te-Yao Hsu1, T'sang-T'ang Hsieh2, Kuender D Yang3, Ching-Chang Tsai1, Chia-Yu Ou1, Bi-Hua Cheng1, Yi-Hsun Wong1, Hsuan-Ning Hung1, An-Kuo Chou4, Chang-Chun Hsiao5, Hao Lin6. 1. Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan. 2. Department of Obstetrics and Gynecology, Taipei Chang Gung Memorial Hospital, Taipei, Taiwan. 3. Department of Pediatrics, Chang Bing Show Chwan Memorial Hospital, Lukang, Taiwan. 4. Department of Anesthesia, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan. 5. Genomic Medicine Research Core Laboratory (GMRCL), Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan. 6. Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan. Electronic address: haolin@adm.cgmh.org.tw.
Abstract
OBJECTIVE: Preeclampsia is a major cause of mortality in pregnant women but the underlying mechanism remains unclear to date. In this study, we attempted to identify candidate proteins that might be associated with preeclampsia in pregnant women by means of proteomics tools. MATERIALS AND METHODS: Differentially expressed proteins in serum samples obtained from pregnant women with severe preeclampsia (n = 8) and control participants (n = 8) were identified using two-dimensional gel electrophoresis (2-DE) followed by peptide mass fingerprinting using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF/MS). Additional serum samples from 50 normal and 41 pregnant women with severe preeclampsia were analyzed by immunoassay for validation. RESULTS: Ten protein spots were found to be upregulated significantly in women with severe preeclampsia. These protein spots had the peptide mass fingerprints matched to α1-antitrypsin, α1-microglobulin, clusterin, and haptoglobin. Immunoassays in an independent series of serum samples showed that serum α1-antitrypsin, α1-microglobulin, and clusterin levels of severe preeclampsia patients (n = 41) were significantly higher than those in the normal participants (n = 50; α1-antitrypsin 295.95 ± 50.94 mg/dL vs. 259.31 ± 33.90 mg/dL, p = 0.02; α1-microglobulin 0.029 ± 0.004 mg/mL vs. 0.020 ± 0.004 mg/mL, p < 0.0001; clusterin 77.6 ± 16.15 μg/dL vs. 67.6 ± 15.87 μg/dL, p < 0.05). CONCLUSION: Identification of these proteins by proteomics analysis enables further understanding of the pathophysiology of preeclampsia. Further studies are warranted to investigate the role of these biomarkers in prediction of this disease.
OBJECTIVE: Preeclampsia is a major cause of mortality in pregnant women but the underlying mechanism remains unclear to date. In this study, we attempted to identify candidate proteins that might be associated with preeclampsia in pregnant women by means of proteomics tools. MATERIALS AND METHODS: Differentially expressed proteins in serum samples obtained from pregnant women with severe preeclampsia (n = 8) and control participants (n = 8) were identified using two-dimensional gel electrophoresis (2-DE) followed by peptide mass fingerprinting using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF/MS). Additional serum samples from 50 normal and 41 pregnant women with severe preeclampsia were analyzed by immunoassay for validation. RESULTS: Ten protein spots were found to be upregulated significantly in women with severe preeclampsia. These protein spots had the peptide mass fingerprints matched to α1-antitrypsin, α1-microglobulin, clusterin, and haptoglobin. Immunoassays in an independent series of serum samples showed that serum α1-antitrypsin, α1-microglobulin, and clusterin levels of severe preeclampsia patients (n = 41) were significantly higher than those in the normal participants (n = 50; α1-antitrypsin 295.95 ± 50.94 mg/dL vs. 259.31 ± 33.90 mg/dL, p = 0.02; α1-microglobulin 0.029 ± 0.004 mg/mL vs. 0.020 ± 0.004 mg/mL, p < 0.0001; clusterin 77.6 ± 16.15 μg/dL vs. 67.6 ± 15.87 μg/dL, p < 0.05). CONCLUSION: Identification of these proteins by proteomics analysis enables further understanding of the pathophysiology of preeclampsia. Further studies are warranted to investigate the role of these biomarkers in prediction of this disease.
Authors: Yamile Lopez-Hernandez; Jorge Alejandro Saldivar-Nava; Idalia Garza-Veloz; Ivan Delgado-Enciso; Laura Elia Martinez-de-Villarreal; Patricia Yahuaca-Mendoza; Iram Pablo Rodriguez-Sanchez; Laura Lopez-Gilibets; Jorge Issac Galvan-Tejada; Carlos Eric Galvan-Tejada; Jose Maria Celaya-Padilla; Margarita L Martinez-Fierro Journal: Int Urol Nephrol Date: 2016-08-29 Impact factor: 2.370
Authors: Jeremy A Sandgren; Guorui Deng; Danny W Linggonegoro; Sabrina M Scroggins; Katherine J Perschbacher; Anand R Nair; Taryn E Nishimura; Shao Yang Zhang; Larry N Agbor; Jing Wu; Henry L Keen; Meghan C Naber; Nicole A Pearson; Kathy A Zimmerman; Robert M Weiss; Noelle C Bowdler; Yuriy M Usachev; Donna A Santillan; Matthew J Potthoff; Gary L Pierce; Katherine N Gibson-Corley; Curt D Sigmund; Mark K Santillan; Justin L Grobe Journal: JCI Insight Date: 2018-10-04