• 98. Detective work in Parkinson's Disease

  • 2024/12/20
  • 再生時間： 26 分
  • ポッドキャスト

98. Detective work in Parkinson's Disease

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  • In this episode of Discovery Matters we delve into groundbreaking advancements in Parkinson’s disease research. Dodi and Conor transport us to the frontier of medical innovation, exploring the latest discoveries and techniques that hold promise for early diagnosis and treatment of Parkinson’s disease.

    Show notes

    • Decet, Marianna et al. ‘A candidate loss-of-function variant in SGIP1 causes synaptic dysfunction and recessive parkinsonism’, Cell Reports Medicine, Volume 5, Issue 10.

    • Hällqvist, J., Bartl, M., Dakna, M. et al. ‘Plasma proteomics identify biomarkers predicting Parkinson’s disease up to 7 years before symptom onset’. Nat Commun 15, 4759 (2024).

    • Roald Dahl's Marvellous Children's Charity

    Keywords: non-invasive procedure, early diagnosis, synaptic homeostasis, Parkinsonism, biomarkers, machine learning, REM sleep disorder, inflammatory pathways, dopaminergic cells, predictive diagnostics, early intervention.
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あらすじ・解説

In this episode of Discovery Matters we delve into groundbreaking advancements in Parkinson’s disease research. Dodi and Conor transport us to the frontier of medical innovation, exploring the latest discoveries and techniques that hold promise for early diagnosis and treatment of Parkinson’s disease.

Show notes

• Decet, Marianna et al. ‘A candidate loss-of-function variant in SGIP1 causes synaptic dysfunction and recessive parkinsonism’, Cell Reports Medicine, Volume 5, Issue 10.

• Hällqvist, J., Bartl, M., Dakna, M. et al. ‘Plasma proteomics identify biomarkers predicting Parkinson’s disease up to 7 years before symptom onset’. Nat Commun 15, 4759 (2024).

• Roald Dahl's Marvellous Children's Charity

Keywords: non-invasive procedure, early diagnosis, synaptic homeostasis, Parkinsonism, biomarkers, machine learning, REM sleep disorder, inflammatory pathways, dopaminergic cells, predictive diagnostics, early intervention.
続きを読む 一部表示

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