335
Views
5
CrossRef citations to date
0
Altmetric
Review Article

The discovery of protein biomarkers in pre-eclampsia: the promising role of mass spectrometry

ORCID Icon
Pages 609-621 | Received 21 Nov 2017, Accepted 30 Apr 2018, Published online: 23 May 2018

References

  • Abalos, E., et al., 2013. Global and regional estimates of preeclampsia and eclampsia: a systematic review. European journal of obstetrics & gynecology and reproductive biology, 170, 1–7.
  • Aebersold, R. and Mann, M., 2003. Mass spectrometry-based proteomics. Nature, 422, 198–207.
  • Anderson, N.L. and Anderson, N.G., 2002. The human plasma proteome - History, character, and diagnostic prospects. Molecular & cellular proteomics, 1, 845–867.
  • Banks, J.F. and Whitehouse, C.M., 1996. Electrospray ionization mass spectrometry. High resolution separation and analysis of biological macromolecules, 270 (Pt A), 486–519.
  • Bantscheff, M., et al., 2007. Quantitative mass spectrometry in proteomics: a critical review. Analytical and bioanalytical chemistry, 389, 1017–1031.
  • Blackburn, K. and Goshe, M., 2008. Challenges and strategies for targeted phosphorylation site identification and quantification using mass spectrometry analysis. Briefings in functional genomics and proteomics, 8, 90–103.
  • Blankley, R.T., et al., 2009. A proof-of-principle gel-free proteomics strategy for the identification of predictive biomarkers for the onset of pre-eclampsia. Bjog: an international journal of obstetrics & gynaecology, 116, 1473–1480.
  • Blankley, R.T., et al., 2013. A label-free selected reaction monitoring workflow identifies a subset of pregnancy specific glycoproteins as potential predictive markers of early-onset pre-eclampsia. Molecular and cellular proteomics, 12, 3148–3159.
  • Blumenstein, M., et al., 2009a. A proteomic approach identifies early pregnancy biomarkers for preeclampsia: novel linkages between a predisposition to preeclampsia and cardiovascular disease. Proteomics, 9, 2929–2945.
  • Blumenstein, M., et al., 2009b. Aberrant processing of plasma vitronectin and high-molecular-weight kininogen precedes the onset of preeclampsia. Reproductive sciences, 16, 1144–1152.
  • Bondarenko, P.V., Chelius, D., and Shaler, T.A., 2002. Identification and relative quantitation of protein mixtures by enzymatic digestion followed by capillary reversed-phase liquid chromatography-tandem mass spectrometry. Analytical chemistry, 74, 243–255.
  • Bronsema, K.J., Bischoff, R., and VAN DE Merbel, N.C., 2012. Internal standards in the quantitative determination of protein biopharmaceuticals using liquid chromatography coupled to mass spectrometry. Journal of chromatography B-analytical technologies in the biomedical and life sciences, 893, 1–14.
  • Buhimschi, I.A., et al., 2008. Proteomic profiling of urine identifies specific fragments of SERPINA1 and albumin as biomarkers of preeclampsia. American journal of obstetrics and gynecology, 199, 551.e1–551.e16.
  • Carr, S.A. and Anderson, L., 2008. Protein quantitation through targeted mass spectrometry: the way out of biomarker purgatory? Clinical chemistry, 54, 1749–1752.
  • Carty, D.M., et al., 2011. Urinary proteomics for prediction of preeclampsia. Hypertension, 57, 561–U387.
  • Catherman, A.D., Skinner, O.S., and Kelleher, N.L., 2014. Top down proteomics: facts and perspectives. Biochemical and biophysical research communications, 445, 683–693.
  • Centlow, M., Hansson, S.R., and Welinder, C., 2010. Differential proteome analysis of the preeclamptic placenta using optimized protein extraction. Journal of biomedicine and biotechnology, 2010, 458748.
  • Chen, G.X., et al., 2011. Urinary proteomics analysis for renal injury in hypertensive disorders of pregnancy with iTRAQ labeling and LC-MS/MS. Proteomics - clinical applications, 5, 300–310.
  • Chiva, C., Ortega, M., and Sabido, E., 2014. Influence of the digestion technique, protease, and missed cleavage peptides in protein quantitation. Journal of proteome research, 13, 3979–3986.
  • Chrisoulidou, A., et al., 2011. Acute and chronic chlamydia pneumoniae infection in pregnancy complicated with preeclampsia. Hypertension in pregnancy, 30, 164–168.
  • Conde-Agudelo, A., Villar, J., and Lindheimer, M., 2004. World Health Organization systematic review of screening tests for preeclampsia. Obstetrics and gynecology, 104, 1367–1391.
  • Conrads, T.P., Issaq, H.J., and Veenstra, T.D., 2002. New tools for quantitative phosphoproteome analysis. Biochemical and biophysical research communications, 290, 885–890.
  • Cooper, J.C., et al., 1996. VEGF mRNA levels in placentae from pregnancies complicated by pre-eclampsia. Bjog: an international journal of obstetrics and gynaecology, 103, 1191–1196.
  • Cusimano, M.C., et al., 2014. The maternal health clinic: an initiative for cardiovascular risk identification in women with pregnancy-related complications. American journal of obstetrics and gynecology, 210, 438.e1–438.e9.
  • Davies, A.M., et al., 1970. Toxemia of pregnancy in Jerusalem. I. Epidemiological studies of a total community. Israeli journal of medical science, 6, 253–266.
  • Domon, B., and Aebersold, R., 2006. Review - mass spectrometry and protein analysis. Science (New York, N.Y.), 312, 212–217.
  • Doyle, L.W., et al., 2009. Magnesium sulphate for women at risk of preterm birth for neuroprotection of the fetus. Cochrane database of systematic reviews, doi:10.1002/14651858.cd004661.pub3
  • Duckitt, K., and Harrington, D., 2005. Risk factors for pre-eclampsia at antenatal booking: systematic review of controlled studies. British medical journal, 330, 565–567.
  • Duley, L., 2009. The global impact of pre-eclampsia and eclampsia. Seminars in perinatology, 33, 130–137.
  • Epiney, M., et al., 2012. Comparative analysis of secreted proteins from normal and preeclamptic trophoblastic cells using proteomic approaches. Journal of proteomics, 75, 1771–1777.
  • Fenn, J.B., et al., 1989. Electrospray ionization for mass spectrometry of large biomolecules. Science, 246, 64–71.
  • Findeisen, P. and Neumaier, M., 2009. Mass spectrometry based proteomics profiling as diagnostic tool in oncology: current status and future perspective. Clinical chemistry and laboratory medicine, 47, 666–684.
  • Garner, P.R., et al., 1990. Preeclampsia in diabetic pregnancies. American journal of obstetrics and gynecology, 163, 505–508.
  • Gharesi-Fard, B., Zolghadri, J., and Kamali-Sarvestani, E., 2010. Proteome differences of placenta between pre-eclampsia and normal pregnancy. Placenta, 31, 121–125.
  • Gillette, M.A. and Carr, S.A., 2013. Method of the year quantitative analysis of peptides and proteins in biomedicine by targeted mass spectrometry. Nature methods, 10, 28–34.
  • Goo, Y.A. and Goodlett, D.R., 2010. Advances in proteomic prostate cancer biomarker discovery. Journal of proteomics, 73, 1839–1850.
  • Gygi, S.P., et al., 1999. Quantitative analysis of complex protein mixtures using isotope-coded affinity tags. Nature biotechnology, 17, 994–999.
  • Gygi, S.P., et al., 2000. Evaluation of two-dimensional gel electrophoresis-based proteome analysis technology. Proceedings of the national academy of sciences of the United States of America, 97, 9390–9395.
  • Henzel, W.J., et al., 1993. Identifying proteins from 2-dimensional gels by molecular mass searching of peptide-fragments in protein-sequence databases. Proceedings of the national academy of sciences of the United States of America, 90, 5011–5015.
  • Hillenkamp, F., et al., 1991. Matrix-assisted laser desorption/ionization mass spectrometry of biopolymers. Analytical chemistry, 63, 1193A–1203A.
  • Hladunewich, M., Karumanchi, S.A., and Lafayette, R., 2007. Pathophysiology of the clinical manifestations of preeclampsia. Clinical journal of the american society of nephrology, 2, 543–549.
  • Ho, Y., et al., 2002. Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry. Nature, 415, 180–183.
  • Hopfgartner, G. and Varesio, E., 2005. New approaches for quantitative analysis in biological fluids using mass spectrometric detection. Trac-trends in analytical chemistry, 24, 583–589.
  • Hu, S., Loo, J.A., and Wong, D.T., 2006. Human body fluid proteome analysis. Proteomics, 6, 6326–6353.
  • Jin, H., et al., 2008. Analysis of expression and comparative profile of normal placental tissue proteins and those in preeclampsia patients using proteomic approaches. Analytica chimica acta, 629, 158–164.
  • Johannes, M.W., Ouweland, V.D., and Kema, I.P., 2012. The role of liquid chromatography–tandem mass spectrometry in the clinical laboratory. Journal of chromatography B, 883, 18–32.
  • Johnson, K.L. and Muddiman, D.C., 2004. A method for calculating O-16/O-18 peptide ion ratios for the relative quantification of proteomes. Journal of the American society for mass spectrometry, 15, 437–445.
  • Johnstone, E.D., et al., 2011. Differential proteomic analysis of highly purified placental cytotrophoblasts in pre-eclampsia demonstrates a state of increased oxidative stress and reduced cytotrophoblast antioxidant defense. Proteomics, 11, 4077–4084.
  • Kanasaki, K. and Kalluri, R., 2009. The biology of preeclampsia. Kidney international, 76, 831–837.
  • Karas, M. and Hillenkamp, F., 1988. Laser desorption ionization of proteins with molecular masses exceeding 10000 daltons. Analytical chemistry, 60, 2299–2301.
  • Keshishian, H., et al., 2007. Quantitative, multiplexed assays for low abundance proteins in plasma by targeted mass spectrometry and stable isotope dilution. Molecular and cellular proteomics, 6, 2212–2229.
  • Kim, S.Y., et al., 2007. Increased sFlt-1 to PIGF ratio in women who subsequently develop Preeclampsia. Journal of Korean medical science, 22, 873–877.
  • Kito, K. and Ito, T., 2008. Mass spectrometry-based approaches toward absolute quantitative proteomics. Current genomics, 9, 263–274.
  • Kiyonami, R., et al., 2011. Increased selectivity, analytical precision, and throughput in targeted proteomics. Molecular and cellular proteomics, 10, doi:10.1074/mcp.M110.002931
  • Knight, M., 2007. Eclampsia in the United Kingdom 2005. Bjog: an international journal of obstetrics and gynaecology, 114, 1072–1078.
  • Kolialexi, A., et al., 2015a. Validation of serum biomarkers derived from proteomic analysis for the early screening of preeclampsia. Disease markers, 2015, 121848.
  • Kolialexi, A., et al., 2015b. Urine proteomic studies in preeclampsia. Proteomics - clinical applications, 9, 501–506.
  • Kolla, V., et al., 2012. Quantitative proteomic (iTRAQ) analysis of 1st trimester maternal plasma samples in pregnancies at risk for preeclampsia. Journal of biomedicine and biotechnology, 2012, 305964.
  • Kozmin, Y.P., et al., 2011. A direct introduction of O-18 isotopes into peptides and proteins for quantitative mass spectroscopy analysis. Russian journal of bioorganic chemistry, 37, 719–731.
  • Kuhn, E., et al., 2004. Quantification of C-reactive protein in the serum of patients with rheumatoid arthritis using multiple reaction monitoring mass spectrometry and C-13-labeled peptide standards. Proteomics, 4, 1175–1186.
  • Kusanovic, J.P., et al., 2009. A prospective cohort study of the value of maternal plasma concentrations of angiogenic and anti-angiogenic factors in early pregnancy and midtrimester in the identification of patients destined to develop preeclampsia. Journal of maternal-fetal & neonatal medicine, 22, 1021–1038.
  • Kuzyk, M.A., et al., 2009. Multiple reaction monitoring-based, multiplexed, absolute quantitation of 45 proteins in human plasma. Molecular and cellular proteomics, 8, 1860–1877.
  • Kvehaugen, A.S., et al., 2011. Endothelial function and circulating biomarkers are disturbed in women and children after preeclampsia. Hypertension, 58, 63–69.
  • Lange, V., et al., 2008. Selected reaction monitoring for quantitative proteomics: a tutorial. Molecular systems biology, 4, doi:10.1038/msb.2008.61
  • Larsen, M.R., et al., 2005. Highly selective enrichment of phosphorylated peptides from peptide mixtures using titanium dioxide microcolumns. Molecular and cellular proteomics, 4, 873–886.
  • Law, K.P., et al., 2015. Mass spectrometry-based proteomics for pre-eclampsia and preterm birth. International journal of molecular sciences, 16, 10952–10985.
  • Lee, E.S., et al., 2007. The levels of circulating vascular endothelial growth factor and soluble Flt-1 in pregnancies complicated by preeclampsia. Journal of Korean medical science, 22, 94–98.
  • Lee, S.M., et al., 2011. Characterization of discriminatory urinary proteomic biomarkers for severe preeclampsia using SELDI-TOF mass spectrometry. Journal of perinatal medicine, 39, 391–396.
  • Levine, R.J., et al., 2004. Circulating angiogenic factors and the risk of preeclampsia. New England journal of medicine, 350, 672–683.
  • Liu, C., et al., 2011. Proteomic analysis of human serum for Finding pathogenic factors and potential biomarkers in preeclampsia. Placenta, 32, 168–174.
  • Liu, L.Y., et al., 2013. Integrating multiple 'omics' analyses identifies serological protein biomarkers for preeclampsia. Bmc medicine, 11, 1–12.
  • Liu, H.B., Sadygov, R.G., and Yates, J.R., 2004. A model for random sampling and estimation of relative protein abundance in shotgun proteomics. Analytical chemistry, 76, 4193–4201.
  • Maass, S., et al., 2011. Efficient, global-scale quantification of absolute protein amounts by integration of targeted mass spectrometry and two-dimensional gel-based proteomics. Analytical chemistry, 83, 2677–2684.
  • Makawita, S. and Diamandis, E.P., 2010. The bottleneck in the cancer biomarker pipeline and protein quantification through mass spectrometry-based approaches: current strategies for candidate verification. Clinical chemistry, 56, 212–222.
  • Maynard, S.E., et al., 2003. Excess placental soluble FMS-like tyrosine kinase 1 (sFlt1) may contribute to endothelial dysfimction, hypertension, and proteinuria in preeclampsia. Journal of clinical investigation, 111, 649–658.
  • Mcdonald, S.D., et al., 2008. Cardiovascular sequelae of preeclampsia/eclampsia: a systematic review and meta-analyses. American heart journal, 156, 918–930.
  • Mckay, M.J., et al., 2007. The development of multiple reaction monitoring assays for liver-derived plasma proteins. Proteomics – clinical applications, 1, 1570–1581.
  • Mechref, Y., Madera, M., and Novotny, M.V., 2008. Glycoprotein enrichment through lectin affinity techniques. Methods in molecular biology, 424, 373–396.
  • Mol, B.W., et al., 2016. Pre-eclampsia. The lancet, 387, 999–1011.
  • Myers, J.E., et al., 2013. Integrated proteomics pipeline yields novel biomarkers for predicting preeclampsia. Hypertension, 61, 1281–1288.
  • North, R.A., et al., 2011. Clinical risk prediction for pre-eclampsia in nulliparous women: development of model in international prospective cohort. British medical journal, 342. doi:10.1136/bmj.d1875
  • Norwitz, E.R., 2006. Defective implantation and placentation: laying the blueprint for pregnancy complications. Reproductive biomedicine online, 13, 591–599.
  • Oh, K.J., et al., 2012. Proteomic biomarkers in second trimester amniotic fluid that identify women who are destined to develop preeclampsia. Reproductive sciences, 19, 694–703.
  • Ong, S.E., et al., 2002. Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics. Molecular and cellular proteomics, 1, 376–386.
  • Park, J., et al., 2011. Discovery of the serum biomarker proteins in severe preeclampsia by proteomic analysis. Experimental and molecular medicine, 43, 427–435.
  • Pecks, U., et al., 2010. Multifactorial analysis of affinity-mass spectrometry data from serum protein samples: a strategy to distinguish patients with preeclampsia from matching control individuals. Journal of the American society for mass spectrometry, 21, 1699–1711.
  • Pecks, U., et al., 2012. A Mass spectrometric multicenter study supports classification of preeclampsia as heterogeneous disorder. Hypertension in pregnancy, 31, 278–291.
  • Pernemalm, M., Lewensohn, R., and Lehtio, J., 2009. Affinity prefractionation for MS-based plasma proteomics. Proteomics, 9, 1420–1427.
  • Picotti, P. and Aebersold, R., 2012. Selected reaction monitoring-based proteomics: workflows, potential, pitfalls and future directions. Nature methods, 9, 555–566.
  • Rafalko, A., et al., 2012. Development of a Chip/Chip/SRM platform using digital chip isoelectric focusing and lc-chip mass spectrometry for enrichment and quantitation of low abundance protein biomarkers in human plasma. Journal of proteome research, 11, 808–817.
  • Rasanen, J., et al., 2010. Comprehensive maternal serum proteomic profiles of preclinical and clinical preeclampsia. Journal of proteome research, 9, 4274–4281.
  • Redman, C.W.G., and Sargent, I.L., 2010. Immunology of pre-eclampsia. American journal of reproductive immunology, 63, 534–543.
  • Reynolds, K.J., Yao, X.D., and Fenselau, C., 2002. Proteolytic O-18 labeling for comparative proteomics: evaluation of endoprotease Glu-C as the catalytic agent. Journal of proteome research, 1, 27–33.
  • Rifai, N., Gillette, M.A., and Carr, S.A., 2006. Protein biomarker discovery and validation: the long and uncertain path to clinical utility. Nature biotechnology, 24, 971–983.
  • Rogers, L.K., Leinweber, B.L., and Smith, C.V., 2006. Detection of reversible protein thiol modifications in tissues. Analytical biochemistry, 358, 171–184.
  • Ross, P.L., et al., 2004. Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents. Molecular and cellular proteomics, 3, 1154–1169.
  • Roth, Z., Yehezkel, G., and Khalaila, I., 2012. Identification and quantification of protein glycosylation. International journal of carbohydrate chemistry, 2012, 1–10.
  • Ryu, S., et al., 2008. Comparison of a label-free quantitative proteomic method based on peptide ion current area to the isotope coded affinity tag method. Cancer informatics, 6, 243–255.
  • Salafia, C.M., et al., 1998. Clinical correlations of patterns of placental pathology in preterm pre-eclampsia. Placenta, 19, 67–72.
  • Salahuddin, S., et al., 2007. Diagnostic utility of soluble FMS-like tyrosine kinase 1 and soluble endoglin in hypertensive diseases of pregnancy. American journal of obstetrics and gynecology, 197, 28.e1–28.e6.
  • Saleem, S., et al., & GLOBAL NETWORK MATERNAL, N. 2014. A prospective study of maternal, fetal and neonatal deaths in low- and middle-income countries. Bulletin of the world health organization, 92, 605–612.
  • Sankaralingam, S., et al., 2006. Preeclampsia: current understanding of the molecular basis of vascular dysfunction. Expert reviews in molecular medicine, 8, 1–20.
  • Say, L., et al., 2014. Global causes of maternal death: a WHO systematic analysis. The Lancet global health, 2, e323–e333.
  • Senechal, S. and Kussmann, M., 2011. Nutriproteomics: technologies and applications for identification and quantification of biomarkers and ingredients. Proceedings of the nutrition society, 70, 351–364.
  • Shi, T.J., et al., 2012. Advancing the sensitivity of selected reaction monitoring-based targeted quantitative proteomics. Proteomics, 12, 1074–1092.
  • Steegers, E.A.P., et al., 2010. Pre-eclampsia. Lancet (London, England), 376, 631–644.
  • Tang, H.Y., et al., 2012. A xenograft mouse model coupled with in-depth plasma proteome analysis facilitates identification of novel serum biomarkers for human ovarian cancer. Journal of proteome research, 11, 678–691.
  • Tholey, A. and Schaumloeffel, D., 2010. Metal labeling for quantitative protein and proteome analysis using inductively-coupled plasma mass spectrometry. Trac-trends in analytical chemistry, 29, 399–408.
  • Tranquilli, A.L., et al., 2014. The classification, diagnosis and management of the hypertensive disorders of pregnancy: a revised statement from the ISSHP. Pregnancy hypertension-an international journal of womens cardiovascular health, 4, 97–104.
  • Tu, C., et al., 2010. Depletion of abundant plasma proteins and limitations of plasma proteomics. Journal of proteome research, 9, 4982–4991.
  • Verlohren, S., et al., 2010. An automated method for the determination of the sFlt-1/PIGF ratio in the assessment of preeclampsia. American journal of obstetrics and gynecology, 202, 161.e1–161.e11.
  • Vermeulen, M., Hubner, N.C., and Mann, M., 2008. High confidence determination of specific protein-protein interactions using quantitative mass spectrometry. Current opinion in biotechnology, 19, 331–337.
  • Wang, F.Q., et al., 2013. Comparative proteome profile of human placenta from normal and preeclamptic pregnancies. PLoS One, 8, e78025. doi:10.1371/journal.pone.0078025
  • Wang, Y., et al., 2011. Reversed-phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells. Proteomics, 11, 2019–2026.
  • Watanabe, H., et al., 2004. Proteome analysis reveals elevated serum levels of clusterin in patients with preeclampsia. PROTEOMICS, 4, 537–543.
  • Wen, Q.J., et al., 2013. Peptidomic identification of serum peptides diagnosing preeclampsia. PLoS one, 8, e65571.
  • Wong, F. and Cox, B., 2014. Proteomics analysis of preeclampsia, a systematic review of maternal and fetal compartments. Journal of proteomics & bioinformatics, doi:10.4172/jpb.S10-001
  • Zhang, H., Yan, W., and Aebersold, R., 2004. Chemical probes and tandem mass spectrometry: a strategy for the quantitative analysis of proteomes and subproteomes. Current opinion in chemical biology, 8, 66–75.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.