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The “Model-AD” study

  • Research type

    Research Study

  • Full title

    The Modelling synaptic connections in Alzheimer’s Disease using astrocytes and neuronal cells derived from the fibroblasts of patients and controls study.

  • IRAS ID

    185093

  • Contact name

    Simon Bell

  • Contact email

    s.m.bell@shef.ac.uk

  • Sponsor organisation

    Sheffield Teaching Hospitals

  • Duration of Study in the UK

    4 years, 7 months, 31 days

  • Research summary

    Alzheimer’s disease (AD) is the most common form of dementia. The disease is characterised by the slowly progressive loss of cognitive function leading to a state of complete dependence usually within 8 years. We still have limited understanding of what causes AD and how to treat the disorder. Traditional imaging modalities, such as conventional magnetic resonance imaging, based on measures of atrophy are not informative in the early stages of the disease. An early diagnosis is crucial as treatments may only work if given very early in the disease course. Alterations in brain connectivity, especially the Default Mode Network (DMN), are increasingly being recognised as important in cognitive functioning.

    We hypothesise that abnormality in the DMN will be reflected in abnormal neuron to neuron connectivity at the cellular level. Developing a cell-model, using human neuronal cells, of a neuronal synapse using this technique may aid in the understanding of the underlying reasons for loss of brain connectivity in people with Alzheimers Disease. This model will allow us to model the abnormalities seen in neuronal interaction in Alzheimers Disease. In this project we aim to use iNPC technology to take fibroblasts from patients with AD and loss of DMN. We will use iNPC technology to transform the fibroblasts into neuronal and astrocyte cells and set up cultures to investigate synaptic function.

  • REC name

    Yorkshire & The Humber - Bradford Leeds Research Ethics Committee

  • REC reference

    16/YH/0155

  • Date of REC Opinion

    31 May 2016

  • REC opinion

    Further Information Favourable Opinion