bioRxiv Science⌕ Search

bioRxiv · 10.1101/2022.08.31.506102

Biologic that disrupts PDE11A4 homodimerization in hippocampus CA1 reverses age-related proteinopathies in PDE11A4 and cognitive decline of social memories

Abstract

Age-related proteinopathies in phosphodiesterase 11A (PDE11A), an enzyme that degrades 3,5-cAMP/cGMP and is enriched in the ventral hippocampal formation (VHIPP), drive age-related cognitive decline (ARCD) of social memories. In the VHIPP, age-related increases in PDE11A4 occur specifically within the membrane compartment and ectopically accumulate in filamentous structures termed ghost axons. Previous in vitro studies show that disrupting PDE11 homodimerization by expressing an isolated PDE11A-GAFB domain, which acts as a "negative sink" for monomers, selectively degrades membrane-associated PDE11A4 and prevents the punctate accumulation of PDE11A4. Therefore, we determined if disrupting PDE11A4 homodimerization in vivo via the expression of an isolated PDE11A4-GAFB domain would be sufficient to reverse 1) age-related accumulations of PDE11A4 in VHIPP ghost axons and 2) ARCD of social memories. Indeed, in vivo lentiviral expression of the isolated PDE11A4-GAFB domain in hippocampal CA1 reversed the age-related accumulation of PDE11A4 in ghost axons, reversed ACRD of social transmission of food preference memory (STFP), and improved remote long-term memory for social odor recognition (SOR) without affecting memory for non-social odor recognition. In vitro studies suggest that disrupting homodimerization of PDE11A4 does not directly alter the catalytic activity of the enzyme but may reverse age-related decreases in cGMP by dispersing the accumulation of the enzyme independently of other intramolecular mechanisms previously established to disperse PDE11A4 (e.g., phosphorylation of PDE11A4 at serine 162). Altogether, these data suggest that a biologic designed to disrupt PDE11A4 homodimerization may serve to ameliorate age-related deficits in hippocampal cyclic nucleotide signaling and subsequent ARCD of remote social memory.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Pilarzyk, K., Capell, W., Rips-Goodwin, A., Porcher, L., Kelly, M.. 2022-09-03. Biologic that disrupts PDE11A4 homodimerization in hippocampus CA1 reverses age-related proteinopathies in PDE11A4 and cognitive decline of social memories. https://doi.org/10.1101/2022.08.31.506102

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience↗

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience↗

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience↗