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Brynildsen, J. K.

Publications and source records attributed to Brynildsen, J. K..

2 recordsLinked to original sources

LRRK2 kinase inhibition reverses G2019S mutation-dependent effects on tau pathology spread

Mutations in leucine-rich repeat kinase 2 (LRRK2) are the most common cause of familial Parkinsons disease (PD). These mutations elevate LRRK2 kinase activity, making LRRK2 kinase inhibitors an attractive therapeutic target. LRRK2 kinase activity has been consistently linked to specific cell signaling pathways, mostly related to organelle trafficking and homeostasis, but its relationship to PD pathogenesis has been more difficult to define. LRRK2-PD patients consistently present with loss of dopaminergic neurons in the substantia nigra but show variable development of Lewy body or tau tangle pathology. Animal models carrying LRRK2 mutations do not develop robust PD-related phenotypes spontaneously, hampering the assessment of LRRK2 inhibitors efficacy against disease processes. We hypothesized that mutations in LRRK2 may not be directly related to a single disease pathway, but instead may elevate susceptibility to multiple disease processes, depending on the disease trigger. To test this hypothesis, we have previously evaluated progression of -synuclein and tau pathologies following injection of proteopathic seeds. We demonstrated that transgenic mice overexpressing mutant LRRK2 show alterations in the brain-wide progression of pathology, especially at older ages. Here, we assess tau pathology progression in relation to long-term LRRK2 kinase inhibition. Wildtype or LRRK2G2019S knock-in mice were injected with tau fibrils and treated with control diet or diet containing LRRK2 kinase inhibitor MLi-2 targeting the IC50 or IC90 of LRRK2 for 3 to 6 months. Mice were evaluated for tau pathology by brain-wide quantitative pathology in 665 brain regions and subsequent linear diffusion modeling of progression. Consistent with our previous work, we found systemic alterations in the progression of tau pathology in LRRK2G2019S mice that were most pronounced at 6 months. Importantly, LRRK2 kinase inhibition reversed these effects in LRRK2G2019S mice, but had minimal effect in wildtype mice, suggesting that LRRK2 kinase inhibition is likely to reverse specific disease processes in G2019S mutation carriers, but additional work may be necessary to determine the potential effect in non-carriers. This work supports a protective role of LRRK2 kinase inhibition in G2019S carriers and provides a rational workflow for systematic evaluation of brain-wide phenotypes in therapeutic development.

neuroscience↗

Using network control theory to study the dynamics of the structural connectome

Network control theory (NCT) is a simple and powerful tool for studying how network topology informs and constrains dynamics. Compared to other structure-function coupling approaches, the strength of NCT lies in its capacity to predict the patterns of external control signals that may alter dynamics in a desired way. We have extensively developed and validated the application of NCT to the human structural connectome. Through these efforts, we have studied (i) how different aspects of connectome topology affect neural dynamics, (ii) whether NCT outputs cohere with empirical data on brain function and stimulation, and (iii) how NCT outputs vary across development and correlate with behavior and mental health symptoms. In this protocol, we introduce a framework for applying NCT to structural connectomes following two main pathways. Our primary pathway focuses on computing the control energy associated with transitioning between specific neural activity states. Our second pathway focuses on computing average controllability, which indexes nodes general capacity to control dynamics. We also provide recommendations for comparing NCT outputs against null network models. Finally, we support this protocol with a Python-based software package called network control theory for python (nctpy).

neuroscience↗