Proteomic analysis of cervical-vaginal fluid: Identification of novel biomarkers for detection of intra-amniotic infection

Michael G. Gravett, Archana Thomas, Kimberly A. Schneider, Ashok P. Reddy, Surendra Dasari, Thomas Jacob, Xinfang Lu, Matthew Rodland, Leonardo Pereira, Drew W. Sadowsky, Charles T. Roberts, Miles J. Novy, Srinivasa R. Nagalla

Research output: Contribution to journalArticle

64 Scopus citations

Abstract

Intra-amniotic infection (IAI) is associated with preterm birth and perinatal mortality. To identify potential biomarkers, we performed a comprehensive survey of the cervical-vaginal fluid (CVF) proteome from a primate IAI model utilizing multidimensional protein identification technology (LC/LC-MS/MS) and MALDI-TOF-MS analyses. Analyses of CVF proteome identified 205 unique proteins and differential expression of 27 proteins in controls and IAI samples. Protein expression signatures and immunodetection of specific biomarkers identified can be employed for noninvasive detection of IAI.

Original languageEnglish (US)
Pages (from-to)89-96
Number of pages8
JournalJournal of Proteome Research
Volume6
Issue number1
DOIs
StatePublished - Jan 1 2007

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Keywords

  • Cervical-vaginal fluid
  • Intra-amniotic infection
  • Preterm birth

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)

Cite this

Gravett, M. G., Thomas, A., Schneider, K. A., Reddy, A. P., Dasari, S., Jacob, T., Lu, X., Rodland, M., Pereira, L., Sadowsky, D. W., Roberts, C. T., Novy, M. J., & Nagalla, S. R. (2007). Proteomic analysis of cervical-vaginal fluid: Identification of novel biomarkers for detection of intra-amniotic infection. Journal of Proteome Research, 6(1), 89-96. https://doi.org/10.1021/pr060149v