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Metaproteomic analysis from cervical biopsies and cytologies identifies proteinaceous biomarkers representing both human and microbial species
J. Faktor, T. Henek, L. Hernychova, A. Singh, B. Vojtesek, J. Polom, R. Bhatia, K. Polom, K. Cuschieri, M. Cruickshank, M. Gurumurthy, DR. Goodlett, S. Al Shboul, SK. Samal, T. Hupp, E. Kalampokas, S. Kote
Jazyk angličtina Země Nizozemsko
Typ dokumentu časopisecké články
- MeSH
- biologické markery * analýza metabolismus MeSH
- biopsie MeSH
- cervix uteri * mikrobiologie patologie MeSH
- dospělí MeSH
- galektin 1 metabolismus analýza genetika MeSH
- Lactobacillus MeSH
- lidé MeSH
- lumican MeSH
- mikrobiota MeSH
- nádory děložního čípku patologie mikrobiologie MeSH
- proteomika * metody MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
The detection of HPV infection and microbial colonization in cervical lesions is currently done through PCR-based viral or bacterial DNA amplification. Our objective was to develop a methodology to expand the metaproteomic landscape of cervical disease and determine if protein biomarkers from both human and microbes could be detected in distinct cervical samples. This would lead to the development of multi-species proteomics, which includes protein-based lateral flow diagnostics that can define patterns of microbes and/or human proteins relevant to disease status. In this study, we collected both non-frozen tissue biopsy and exfoliative non-fixed cytology samples to assess the consistency of detecting human proteomic signatures between the cytology and biopsy samples. Our results show that proteomics using biopsies or cytologies can detect both human and microbial organisms. Across patients, Lumican and Galectin-1 were most highly expressed human proteins in the tissue biopsy, whilst IL-36 and IL-1RA were most highly expressed human proteins in the cytology. We also used mass spectrometry to assess microbial proteomes known to reside based on prior 16S rRNA gene signatures. Lactobacillus spp. was the most highly expressed proteome in patient samples and specific abundant Lactobacillus proteins were identified. These methodological approaches can be used in future metaproteomic clinical studies to interrogate the vaginal human and microbiome structure and metabolic diversity in cytologies or biopsies from the same patients who have pre-invasive cervical intraepithelial neoplasia, invasive cervical cancer, as well as in healthy controls to assess how human and pathogenic proteins may correlate with disease presence and severity.
Aberdeen Centre for Women's Health Research University of Aberdeen Scotland UK
Aberdeen Royal Infirmary Foresterhill Road Aberdeen UK
Biochemistry and Microbiology University of Victoria Canada
Gastrointestinal Surgical Oncology Department Greater Poland Cancer Centre Garbary 15 Poznan Poland
Institute of Environmental Medicine Karolinska Institutet Stockholm Sweden
International Centre for Cancer Vaccine Science University of Gdansk Gdansk Poland
Scottish HPV Reference Laboratory Royal Infirmary of Edinburgh NHS Lothian UK UK
The Academy of Applied Medical and Social Sciences Lotnicza 2 Elblag Poland
University of Edinburgh Institute of Genetics and Molecular Medicine Edinburgh Scotland UK
Citace poskytuje Crossref.org
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- $a Metaproteomic analysis from cervical biopsies and cytologies identifies proteinaceous biomarkers representing both human and microbial species / $c J. Faktor, T. Henek, L. Hernychova, A. Singh, B. Vojtesek, J. Polom, R. Bhatia, K. Polom, K. Cuschieri, M. Cruickshank, M. Gurumurthy, DR. Goodlett, S. Al Shboul, SK. Samal, T. Hupp, E. Kalampokas, S. Kote
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- $a The detection of HPV infection and microbial colonization in cervical lesions is currently done through PCR-based viral or bacterial DNA amplification. Our objective was to develop a methodology to expand the metaproteomic landscape of cervical disease and determine if protein biomarkers from both human and microbes could be detected in distinct cervical samples. This would lead to the development of multi-species proteomics, which includes protein-based lateral flow diagnostics that can define patterns of microbes and/or human proteins relevant to disease status. In this study, we collected both non-frozen tissue biopsy and exfoliative non-fixed cytology samples to assess the consistency of detecting human proteomic signatures between the cytology and biopsy samples. Our results show that proteomics using biopsies or cytologies can detect both human and microbial organisms. Across patients, Lumican and Galectin-1 were most highly expressed human proteins in the tissue biopsy, whilst IL-36 and IL-1RA were most highly expressed human proteins in the cytology. We also used mass spectrometry to assess microbial proteomes known to reside based on prior 16S rRNA gene signatures. Lactobacillus spp. was the most highly expressed proteome in patient samples and specific abundant Lactobacillus proteins were identified. These methodological approaches can be used in future metaproteomic clinical studies to interrogate the vaginal human and microbiome structure and metabolic diversity in cytologies or biopsies from the same patients who have pre-invasive cervical intraepithelial neoplasia, invasive cervical cancer, as well as in healthy controls to assess how human and pathogenic proteins may correlate with disease presence and severity.
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