bioRxiv Science⌕ Search

bioRxiv · 10.1101/2021.09.23.461562

Chronic THC vapor rescues inflammation-related thermal hyperalgesia and causes cell type-specific modifications in vlPAG neurons

Abstract

AbstractIn an effort to reduce reliance on opioids for the treatment of pain in the clinic, ongoing work is testing the utility of cannabinoid drugs as a potential alternative for treatment of chronic pain. We tested chronic THC vapor inhalation effects on thermal nociception and mechanical sensitivity, as well as midbrain (i.e., ventrolateral periaqueductal gray [vlPAG]) neuronal function, in adult male and female Wistar rats with chronic inflammatory pain (CFA treatment). We report that chronic THC vapor inhalation rescues both thermal hyperalgesia and mechanical hypersensitivity in males treated with CFA, but only thermal hyperalgesia in CFA females. Most of the anti-hyperalgesic effects of chronic THC vapor were still observable 24 hours after cessation of the last THC exposure. We also report that chronic THC vapor inhalation modulates intrinsic and synaptic properties of vlPAG neurons, including reductions in action potential firing rate and spontaneous inhibitory synaptic transmission in males, and that these effects occur specifically in neurons that respond to current input with a "delayed" firing phenotype. Treatment with CFA led to increased firing rate and increased sIPSC amplitude in vlPAG neurons of female rats, and chronic THC vapor rescued sIPSC amplitudes to control levels - these effects were specific to vlPAG neurons categorized as having an "onset" firing phenotype. Ongoing work is exploring sex-specific mechanisms (e.g., CB1 receptor) of THC vapor rescue effects in the vlPAG of rats treated with CFA, and further exploring the vlPAG cell types impacted by CFA treatment and chronic THC vapor inhalation. Significance StatementMany adults in the U.S. with pain self-medicate with THC and cannabis, and many humans use e-cigarette type devices filled with cannabis extracts to self-administer THC and other constituents of the marijuana plant. Until recently, most rodent studies of THC effects on brain and behavior have used injection procedures and male rats. Here, we tested the effect of chronic THC vapor inhalation on pain-related behaviors and midbrain neural circuit function in adult male and female Wistar rats. As predicted, chronic THC vapor inhalation rescued chronic inflammatory pain effects on behavior and midbrain neuronal function.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Kelley, L. K., Middleton, J., Gilpin, N. W., Lightfoot, S. H., Hill, M. N.. 2021-09-24. Chronic THC vapor rescues inflammation-related thermal hyperalgesia and causes cell type-specific modifications in vlPAG neurons. https://doi.org/10.1101/2021.09.23.461562

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↗