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Leighton, C.

Publications and source records attributed to Leighton, C..

2 recordsLinked to original sources

GLP-1 receptor agonism ameliorates Parkinsons disease through modulation of neuronal insulin signalling and glial suppression

Neuronal insulin resistance is linked to the pathogenesis of Parkinsons disease through unclear, but potentially targetable, mechanisms. We delineated neuronal and glial mechanisms of insulin resistance and glucagon-like 1 peptide (GLP-1) receptor agonism in human iPSC models of synucleinopathy, and corroborated our findings in patient samples from a Phase 2 trial of a GLP-1R agonist in Parkinsons (NCT01971242). Human iPSC models of synucleinopathy exhibit neuronal insulin resistance and dysfunctional insulin signalling, which is associated with inhibition of the neuroprotective Akt pathways, and increased expression of the MAPK-associated p38 and JNK stress pathways. Ultimately, this imbalance is associated with cellular stress, impaired proteostasis, accumulation of -synuclein, and neuronal loss. The GLP-1R agonist exenatide led to restoration of insulin signalling, associated with restoration of Akt signalling and suppression of the MAPK pathways in neurons. GLP-1R agonism reverses the neuronal toxicity associated with the synucleinopathy, through reduction of oxidative stress, improved mitochondrial and lysosomal function, reduced aggregation of -synuclein, and enhanced neuronal viability. GLP-1R agonism further suppresses synuclein induced inflammatory states in glia, leading to neuroprotection through non cell autonomous effects. In the exenatide-PD2 clinical trial, exenatide treatment was associated with clinical improvement in individuals with higher baseline MAPK expression (and thus insulin resistance). Exenatide treatment led to a reduction of -synuclein aggregates, and a reduction in inflammatory cytokine IL-6. Taken together, our patient platform defines the mechanisms of GLP-1R action in neurons and astrocytes, identifies the population likely to benefit from GLP-1R agonism, and highlights the utility of GLP-1R agonism as a disease modifying strategy in synucleinopathies.

neuroscience↗

Two-color coincidence single-molecule pull-down for the specific detection of disease-associated protein aggregates

The misfolding and aggregation of protein is a characteristic of many neurodegenerative disorders, including Alzheimers and Parkinsons disease. The wide range of sizes and structures of oligomers and fibrils generated have previously been studied using single-molecule and super-resolution microscopy. These methods, however, tend to rely on the use of either directly labeled protein, or on the addition of non-specific amyloid stains, such as thioflavin-T. This has prevented the characterization of protein aggregate composition in complex biological samples. Here, we have developed a single-molecule two-color aggregate pull-down (STAPull) assay to overcome this challenge by probing immobilized proteins using orthogonally labeled antibodies targeting the same epitope. By looking at colocalized signals, we can eliminate monomeric protein, and specifically quantify aggregated proteins. Using the aggregation-prone alpha-synuclein protein as a model, we demonstrate that this approach can specifically detect aggregates with a limit of detection of 5 pM. Furthermore, we show that STAPull can be used in a range of samples, including in human biofluids. STAPull is generally applicable to protein aggregates from a variety of disorders, and will aid in the identification of biomarkers that are crucial in the effort to diagnose these diseases.

neuroscience↗