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

doi:10.1021/pr060149v

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

Quantitative Health Sciences

Research output: Contribution to journal › Article › peer-review

68 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 language	English (US)
Pages (from-to)	89-96
Number of pages	8
Journal	Journal of Proteome Research
Volume	6
Issue number	1
DOIs	https://doi.org/10.1021/pr060149v
State	Published - Jan 2007

Keywords

Cervical-vaginal fluid
Intra-amniotic infection
Preterm birth

ASJC Scopus subject areas

General Chemistry
Biochemistry

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10.1021/pr060149v

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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

Gravett, MG, Thomas, A, Schneider, KA, Reddy, AP, Dasari, S, Jacob, T, Lu, X, Rodland, M, Pereira, L, Sadowsky, DW, Roberts, CT, Novy, MJ & Nagalla, SR 2007, 'Proteomic analysis of cervical-vaginal fluid: Identification of novel biomarkers for detection of intra-amniotic infection', Journal of Proteome Research, vol. 6, no. 1, pp. 89-96. https://doi.org/10.1021/pr060149v

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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.",

keywords = "Cervical-vaginal fluid, Intra-amniotic infection, Preterm birth",

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

year = "2007",

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doi = "10.1021/pr060149v",

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AU - Gravett, Michael G.

AU - Thomas, Archana

AU - Schneider, Kimberly A.

AU - Reddy, Ashok P.

AU - Dasari, Surendra

AU - Jacob, Thomas

AU - Lu, Xinfang

AU - Rodland, Matthew

AU - Pereira, Leonardo

AU - Sadowsky, Drew W.

AU - Roberts, Charles T.

AU - Novy, Miles J.

AU - Nagalla, Srinivasa R.

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AB - 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.

KW - Cervical-vaginal fluid

KW - Intra-amniotic infection

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

Abstract

Keywords

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