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Insel, P.

Publications and source records attributed to Insel, P..

3 recordsLinked to original sources

Bayesian Multivariate Growth Mixture Modeling of Longitudinal Data: An Application to Alzheimer's Disease Study

Alzheimers disease (AD) studies often collect longitudinal biomarker measures of multiple cohorts at different stages of disease and follow these biomarkers with a relatively short period of time. The heterogeneity of the longitudinal patterns of biomarkers can be ubiquitous across both individual trajectories and cognitive domains. We propose a flexible Bayesian multivariate growth mixture model to identify distinct longitudinal patterns of data from the Alzheimers Disease Neuroimaging Initiative (ADNI) study. A Gibbs sampling is implemented for achieving the Bayesian inference. We perform a simulation study to demonstrate the adequate performance of our proposed approach and apply the model to identify three latent cognitive decline patterns among patients from the ADNI study.

neuroscience↗

Time between milestone events in the Alzheimer's disease amyloid cascade

ObjectiveEstimate the time-course of the spread of key pathological markers and the onset of cognitive dysfunction in Alzheimers disease. MethodsIn a cohort of 336 older adults, ranging in cognitive functioning, we estimated the time of initial changes of A{beta}, tau, and decreases in cognition with respect to the time of A{beta}-positivity. ResultsSmall effect sizes of change in CSF A{beta}42 and regional A{beta} PET were estimated to occur several decades before A{beta}-positivity. Increases in CSF tau occurred 11-12 years before A{beta}-positivity. Temporoparietal tau PET showed increases 4-5 years before A{beta}-positivity. Subtle cognitive dysfunction was observed 7-9 years before A{beta}-positivity. ConclusionsIncreases in tau and cognitive dysfunction occur years before the presence of significant A{beta}. Explicit estimates of the time for these events provide a clearer picture of the time course of the amyloid cascade and identify potential windows for specific treatments.

neuroscience↗

Inhibition of IRF4 in dendritic cells by PRR-independent and -dependent signals inhibit Th2 and promote Th17 responses

Cyclic AMP (cAMP) is involved in multiple biological processes. However, little is known about its role in shaping immunity. Here we show that cAMP-PKA-CREB signaling (a pattern recognition receptor [PRR]-independent) regulates conventional type-2 Dendritic Cells (cDC2s), but not cDC1s and reprograms their Th17-inducing properties via repression of IRF4 and KLF4, transcription factors (TFs) for Th2 induction. Genetic loss of IRF4 phenocopies the effects of cAMP signaling on Th17-induction, indicating that the cAMP effect is secondary to repression of IRF4. Moreover, signaling in cDC2s by a PRR-dependent microbial product, curdlan, represses IRF4 and KLF4, resulting in a pro-Th17 phenotype. These results define a novel signaling pathway by which cDC2s display plasticity and provide a new molecular basis for the novel cDC2 and cDC17 classification. In addition, the data reveal that cAMP signaling can alter DCs function and fate by repressing IRF4 and KLF4, a pathway that can be harnessed for immuno-regulation.

immunology↗