INSTEP

  • Research type

    Research Study

  • Full title

    An Innovative molecular-diagNostic tool using Saliva To diagnosE Periodontitis (INSTEP)

  • IRAS ID

    318271

  • Contact name

    Francesco D'Aiuto

  • Contact email

    f.daiuto@ucl.ac.uk

  • Sponsor organisation

    CircaGene

  • Duration of Study in the UK

    0 years, 5 months, 31 days

  • Research summary

    Disturbed oral-microbiome is the main cause of gum diseases (Zarco & Ginsburg, 2011). Gum diseases are the 11th most-prevalent and fairly expensive conditions to treat (Nazir et al., 2020). A US report showed that ~50% of 30+ year olds have some forms of gum disease, which increases to over 70% for over 65s (Eke, 2012). At the global level, gum diseases affect between 20% - 50% of the population, 3.5 billion people , amounting to a cost of $54 billion / year. Periodontitis (gum disease) is an inflammatory disease of the gums resulting in the bone loss around teeth which ends with the loss of teeth themselves. Gum diseases (i.e. periodontitis) are the result of gum inflammation to a disturbed dental plaque/microbiome (i.e. it’s bacterial composition, bacterial load and metabolite composition) (Cekici et al., 2014).

    Long-term management of periodontitis can be costly, leading to productivity losses and significantly lower quality of life for patients (Schwendicke et al., 2020).

    Human saliva carries an abundance of information about our microbiome and oral health status. Understanding the complexities of oral microbiome can further our knowledge about periodontitis progression and its’ causes as well as helping us develop diagnostics for a quick and accurate disease diagnosis (Liu et al., 2012).

    The aim of this study is to better understand the bacterial and metabolite composition and shifts occurring in oral microbiome of saliva in participants with periodontitis versus healthy individuals.

    Saliva from healthy individuals and participants with periodontitis will be analysed for bacterial composition using 16S rRNA gene sequencing and metabolite composition using NMR metabolomics.

  • REC name

    East of England - Cambridge East Research Ethics Committee

  • REC reference

    22/EE/0281

  • Date of REC Opinion

    13 Dec 2022

  • REC opinion

    Further Information Favourable Opinion