Literature DB >> 28508693

A metabolite profiling method for diagnosis of precancerous cervical lesions and HPV persistence.

Heather Walker1, Michael Burrell1, Janet Flatley2, Hilary Powers2.   

Abstract

AIM: With the advent of rapid metabolic profiling techniques and of portable mass spectrometers we examined whether cells distinguished by their cytology and persistence of human papillomavirus infection, could be easily differentiated by their metabolite profile. MATERIALS &
METHODS: Direct injection electrospray mass spectrometry was used in a nontargeted double-blind experiment. Samples were collected from women diagnosed with one of two grades of cervical cytology and exhibiting either human papilloma virus persistence or clearance. Cell extracts were prepared using a DNA extraction procedure and the resulting supernatant, normally discarded, was analyzed. Data were interpreted using principal component analysis.
RESULTS: The results indicate strongly that a simple metabolite profiling method could be used to rapidly identify women at increased risk of cervical cancer.

Entities:  

Keywords:  HPV; cervical cancer; mass spectrometry; metabolite profiling; metabolomics

Mesh:

Year:  2017        PMID: 28508693     DOI: 10.4155/bio-2017-0012

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  3 in total

1.  Shotgun Lipidomics for Differential Diagnosis of HPV-Associated Cervix Transformation.

Authors:  Natalia L Starodubtseva; Vitaliy V Chagovets; Maria E Nekrasova; Niso M Nazarova; Alisa O Tokareva; Olga V Bourmenskaya; Djamilja I Attoeva; Eugenii N Kukaev; Dmitriy Y Trofimov; Vladimir E Frankevich; Gennady T Sukhikh
Journal:  Metabolites       Date:  2022-05-31

2.  Molecular Signatures of High-Grade Cervical Lesions.

Authors:  Andreia M Porcari; Fernanda Negrão; Guilherme Lucas Tripodi; Denise Rocha Pitta; Elisabete Aparecida Campos; Douglas Munhoz Montis; Aline M A Martins; Marcos N Eberlin; Sophie F M Derchain
Journal:  Front Oncol       Date:  2018-04-12       Impact factor: 6.244

3.  Prognostic biomarkers of cervical squamous cell carcinoma identified via plasma metabolomics.

Authors:  Huihui Zhou; Qi Li; Tong Wang; Hong Liang; Yanan Wang; Yani Duan; Min Song; Yaoxian Wang; Hong Jin
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

  3 in total

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