Search bioRxiv⌕ Search

bioRxiv · 10.1101/2022.09.16.508275

A T1R-independent mechanism for responses to hyperosmotic sugars involves a carbonic anhydrase-sensitive mechanism in Type III receptor cells

Abstract

Recent findings from our laboratory demonstrated that the rostral nucleus of solitary tract (rNST) retains some responsiveness to glutamate (MSG+amiloride-MSGa) and sugars in mice lacking the canonical T1R receptors for these tastants. Here, we recorded from the parabrachial nucleus (PBN) in mice lacking the T1R1+T1R3 heterodimer (KO1+3), using warm stimuli to optimize sugar responses and employing extended concentrations and pharmacological agents to probe mechanisms. MSGa+IMP responses were not synergized in KO1+3 mice but responses to MSGa were similar to those in B6 (WT) mice. Glutamate responses in the neurons tested were unaffected by topical application of an mGluR4 antagonist. PBN T1R-independent sugar responses, including those to concentrated glucose, were more evident than in rNST. Sugar responses were undiminished by phlorizin, an inhibitor of SGLT, a component of a hypothesized alternative glucose-sensing mechanism. There were no sugar/umami "best" neurons in KO1+3 mice, and instead, sugars activated cells that displayed acid and amiloride-insensitive NaCl responses. In WTs, concentrated sugars activated "sugar/umami" cells but also electrolyte-sensitive neurons. The efficacy of hyperosmotic sugars for driving neurons broadly responsive to electrolytes implied an origin from Type III taste bud cells. To test this, we used the carbonic anhydrase (CA) inhibitor dorzolamide (DRZ), previously shown to inhibit amiloride-insensitive sodium responses arising from Type III cells. Dorzolamide had no effect on sugarelicited responses in WT sugar/umami PBN neurons but strongly suppressed them in WT and KO electrolyte-generalist neurons. These findings suggest a novel T1R-independent mechanism for hyperosmotic sugars, involving a CA-dependent mechanism in Type-III taste bud cells. Significance StatementSince the discovery of the Tas1r gene family that encodes receptors that lead to sweet and umami taste perception two decades ago, evidence has accrued that mice lacking these receptors maintain some degree of behavioral, physiological, and neural responsiveness to sugars and monosodium glutamate. But the basis for the remaining sensitivity to these nutritionally relevant compounds has remained elusive. Here we recorded from parabrachial nucleus taste neurons. Glutamate responses in mice lacking T1R1+T1R3 were unaffected by oral treatment of mGluR4 receptor antagonist suggesting that some T1R-independent glutamate responses are mediated by a different transduction pathway. Moreover, we identified a novel basis for T1R-independent responsiveness to hyperosmotic sugars that relies on carbonic anhydrase-mediated mechanism found in Type III taste bud cells.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Kalyanasundar, B., Blonde, G., Spector, A. C., Travers, S. P.. 2022-09-19. A T1R-independent mechanism for responses to hyperosmotic sugars involves a carbonic anhydrase-sensitive mechanism in Type III receptor cells. https://doi.org/10.1101/2022.09.16.508275

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↗