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Heal, M.

Publications and source records attributed to Heal, M..

8 recordsLinked to original sources

Astrocyte Reactivity by Alcohol Dependence in the Central Amygdala

Astrocytes play essential roles in maintaining brain homeostasis and in contributing to synaptic functions, but, in response to injury, infection, or disease, astrocytes can downregulate their homeostatic and physiological functions while increasing neuroinflammatory responses. The central amygdala (CeA) is important for stress responsivity and the development of alcohol (ethanol) dependence. Using a multi-omics approach in Aldh1l1-EGFP/Rpl10a mice and the chronic intermittent ethanol two-bottle choice (CIE-2BC) model, we have characterized the translational response of CeA astrocytes, as well as the proteomic and phosphoproteomic changes in ethanol dependent, non-dependent, and naive mice. We identified astrocyte-specific alterations in neuroimmune functions and antioxidant/oxidative stress pathways in ethanol dependent mice as well as cytoskeletal plasticity related pathways in non-dependent mice. Proteomic analysis showed down-regulation of astrocyte physiological functions in dependent animals while phosphoproteomic analysis identified pathways associated with cytoskeleton remodeling in both dependent and non-dependent mice. Reconstructions of astrocyte morphologies demonstrated increased CeA astrocyte complexity in dependent and non-dependent groups compared to naive mice. The astrocyte-specific activation of neuroimmune and antioxidant pathways, down-regulation of homeostatic functions, alteration in protein phosphorylation-mediated cytoskeleton remodeling, and increased astrocyte morphological complexity demonstrate that ethanol dependence induces astrocyte reactivity in the CeA consistent with both adaptive and maladaptive changes. These findings highlight the role of CeA astrocytes in the progression from alcohol intake to dependence and represent a first step toward identifying astrocyte-specific therapeutic strategies to treat Alcohol Use Disorder (AUD) aimed at potentiating reactive astrocyte adaptive changes and inhibiting maladaptive responses.

neuroscience↗

Hybrid Solid-Liquid Optics Enable Scalable, High-Resolution, Multi-Immersion Light-Sheet Microscopy

Modern biology increasingly depends on data-driven discovery, requiring scalable and affordable high-content 3D imaging across molecular to organ scales. Although tissue clearing, expansion microscopy, and light-sheet microscopy (LSM) enable subcellular-resolution imaging of intact specimens, their scalability remains fundamentally limited by detection optics: immersion objectives deliver high-resolution, aberration-free imaging but with short working distances, high cost, and multi-immersion incompatibility, while air objectives offer long working distances and portability at lower cost but suffer from severe aberrations and reduced photon collection when imaging immersed samples. We introduce the Hybrid Solid-Liquid Immersion Lens (HySIL) framework, which pairs an off-the-shelf solid optical component with a refractive index-matched liquid to precompensate aberrations and enhance resolution. Building on HySIL, we developed SCOPE and Super-SCOPE, objective-agnostic imaging devices achieving submicron lateral resolution (<0.75 {micro}m) across centimeter-scale samples using inexpensive air objectives with >30 mm working distances. Integration with a low-cost LSM platform yielded a compact, scalable system demonstrated for multi-immersion, multi-color, subcellular-resolution mapping of cleared or expanded mouse, salamander, and cavefish brains, human iPSC-derived organoids, and 3D histopathology of breast tissue. HySIL and SCOPE establish an accessible foundation for scalable, high-resolution volumetric imaging, advancing data-driven biological discovery.

bioengineering↗

Mapping the Organization and Morphology of Calcitonin Gene-Related Peptide (CGRP)-IR Axons in the Whole Mouse Stomach

Nociceptive afferent axons innervate the stomach and send signals to the brain and spinal cord. Peripheral nociceptive afferents can be detected with a variety of markers [e.g., substance P (SP) and calcitonin gene-related peptide (CGRP)]. We recently examined the topographical organization and morphology of SP-immunoreactive (SP-IR) axons in the whole mouse stomach muscular layer. However, the distribution and morphological structure of CGRP-IR axons remain unclear. We used immunohistochemistry labeling and applied a combination of imaging techniques, including confocal and Zeiss Imager M2 microscopy, Neurolucida 360 tracing, and integration of axon tracing data into a 3D stomach scaffold to characterize CGRP-IR axons and terminals in the whole mouse stomach muscular layers. We found that: 1) CGRP-IR axons formed extensive terminal networks in both ventral and dorsal stomachs. 2) CGRP-IR axons densely innervated the blood vessels. 3) CGRP-IR axons ran in parallel with the longitudinal and circular muscles. Some axons ran at angles through the muscular layers. 4) They also formed varicose terminal contacts with individual myenteric ganglion neurons. 5) CGRP-IR occurred in DiI-labeled gastric-projecting neurons in the dorsal root and vagal nodose ganglia, indicating CGRP-IR axons were visceral afferent axons. 6) CGRP-IR axons did not colocalize with tyrosine hydroxylase (TH) or vesicular acetylcholine transporter (VAChT) axons in the stomach, indicating CGRP-IR axons were not visceral efferent axons. 7) CGRP-IR axons were traced and integrated into a 3D stomach scaffold. For the first time, we provided a topographical distribution map of CGRP-IR axon innervation of the whole stomach muscular layers at the cellular/axonal/varicosity scale.

neuroscience↗

Extending and using anatomical vocabularies in the Stimulating Peripheral Activity to Relieve Conditions (SPARC) project

The Stimulating Peripheral Activity to Relieve Conditions (SPARC) program is a US National Institutes of Health-funded effort to improve our understanding of the neural circuitry of the autonomic nervous system in support of bioelectronic medicine. As part of this effort, the SPARC program is generating multi-species, multimodal data, models, simulations, and anatomical maps supported by a comprehensive knowledge base of autonomic circuitry. To facilitate the organization of and integration across multi-faceted SPARC data and models, SPARC is implementing the FAIR data principles to ensure that all SPARC products are findable, accessible, interoperable, and reusable. We are therefore annotating and describing all products with a common FAIR vocabulary. The SPARC Vocabulary is built from a set of community ontologies covering major domains relevant to SPARC, including anatomy, physiology, experimental techniques, and molecules. The SPARC Vocabulary is incorporated into tools researchers use to segment and annotate their data, facilitating the application of these ontologies for annotation of research data. However, since investigators perform deep annotations on experimental data, not all terms and relationships are available in community ontologies. We therefore implemented a term management and vocabulary extension pipeline where SPARC researchers may extend the SPARC Vocabulary using InterLex, an online vocabulary management system. To ensure the quality of contributed terms, we have set up a curated term request and review pipeline specifically for anatomical terms involving expert review. Accepted terms are added to the SPARC Vocabulary and, when appropriate, contributed back to community ontologies to enhance autonomic nervous system coverage. Here, we provide an overview of the SPARC Vocabulary, the infrastructure and process for implementing the term management and review pipeline. In an analysis of > 300 anatomical contributed terms, the majority represented composite terms that necessitated combining terms within and across existing ontologies. Although these terms are not good candidates for community ontologies, they can be linked to structures contained within these ontologies. We conclude that the term request pipeline serves as a useful adjunct to community ontologies for annotating experimental data and increases the FAIRness of SPARC data.

bioinformatics↗

The SPARC DRC: Building a resource for the autonomic nervous system community

The Data and Resource Center (DRC) of the NIH-funded SPARC program is developing databases, connectivity maps and simulation tools for the mammalian autonomic nervous system. The experimental data and mathematical models supplied to the DRC by the SPARC consortium are curated, annotated and semantically linked via a single knowledgebase. A data portal has been developed that allows discovery of data and models both via semantic search and via an interface that includes Google Map-like 2D flatmaps for displaying connectivity, and 3D anatomical organ scaffolds that provide a common coordinate framework for cross-species comparisons. We discuss examples that illustrate the data pipeline, which includes data upload, curation, segmentation (for image data), registration against the flatmaps and scaffolds, and finally display via the web portal, including the link to freely available online computational facilities that will enable neuromodulation hypotheses to be investigated by the autonomic neuroscience community and device manufacturers.

neuroscience↗

3D single cell scale anatomical map of sex-dependent variability of the rat intrinsic cardiac nervous system

We developed and analyzed a single cell scale anatomical map of the rat intrinsic cardiac nervous system (ICNS) across 4 male and 3 female hearts. We find the ICNS has a reliable structural organizational plan across individuals that may provide the foundation for further analyses of the ICNS in cardiac function and disease. The distribution of the ICNS was evaluated by 3D visualization and using data-driven clustering. The pattern, distribution and clustering of ICNS neurons across all male and female rat hearts is highly conserved, demonstrating a coherent organizational plan in which distinct clusters of neurons are consistently localized. Female hearts had fewer neurons, lower packing density and slightly reduced distribution, but with the same localization. We registered the anatomical data from each heart to a geometric scaffold, normalizing their 3D coordinates for the standardization of common anatomical planes and providing the path where multiple experimental results and data types can be integrated and compared.

neuroscience↗

Inflammation promotes adipocyte lipolysis via IRE1 kinase

Obesity associates with inflammation, insulin resistance and higher blood lipids. It is unclear if immune responses facilitate lipolysis separate from hormone or adrenergic signals. We found that an ancient component of ER stress, inositol-requiring protein 1 (IRE1), discriminates inflammation-induced adipocyte lipolysis versus lipolysis regulated by adrenergic or hormonal stimuli. Inhibiting IRE1 kinase activity was sufficient to block adipocyte-autonomous lipolysis from multiple inflammatory ligands, including bacterial components, certain cytokines, and thapsigargin-induced ER stress. Adipocyte-specific deletion of IRE1 in mice prevented inflammatory ligand-induced lipolysis in adipose tissue. IRE1 kinase activity was dispensable for isoproterenol and cAMP-induced lipolysis in adipocytes and mouse adipose tissue. IRE1 RNase activity was not associated with inflammation-induced adipocyte lipolysis. We found no role for canonical unfolded protein responses (UPR) or ABL kinases in linking ER stress to lipolysis. Lipolysis was unchanged in adipose tissue from GRP78/BiP+/- compared to littermate mice. Tyrosine kinase inhibitors (TKIs) such as imatinib, which reduce ER stress and IRE1 RNase activity, did not alter lipolysis from inflammatory stimuli. Inhibiting IRE1 kinase activity blocked adipocyte NF-{kappa}B activation and Interleukin-6 (Il6) production due to inflammatory ligands. Inflammation-induced lipolysis mediated by IRE1 occurred independently from changes in insulin signalling in adipocytes. Therefore, inflammation can promote IRE1-mediated lipolysis independent of adipocyte insulin resistance. Our results show that IRE1 propagates an inflammation-specific lipolytic program independent from hormonal or adrenergic regulation, including insulin resistance. Targeting IRE1 kinase activity may benefit metabolic syndrome and inflammatory lipid disorders. SignificanceAdipocytes maintain metabolic homeostasis by storing nutrients and releasing lipids into the blood via lipolysis. Catecholamines stimulate adrenergic-mediated lipolysis, whereas insulin inhibits lipolysis. Obesity is associated with elevated blood lipids and inflammation, which can impair insulin-mediated suppression of lipolysis (i.e. insulin resistance). It is unclear if inflammatory triggers of lipolysis require insulin resistance or if specific lipolytic triggers engage distinct cell stress components. We found that a specific ER stress response was required for inflammation-mediated lipolysis, not adrenergic-mediated lipolysis. Bacterial and cytokine-induced lipolysis required adipocyte IRE1 kinase activity, but not IRE1 RNase activity typical of the ER stress-related unfolded protein response. We propose that inflammatory triggers of lipolysis engage IRE1 kinase independent of catecholamine and hormone responses, including insulin resistance. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=57 SRC="FIGDIR/small/030148v1_ufig1.gif" ALT="Figure 1"> View larger version (12K): org.highwire.dtl.DTLVardef@c9ae43org.highwire.dtl.DTLVardef@cfb430org.highwire.dtl.DTLVardef@3ecd2aorg.highwire.dtl.DTLVardef@10fbafe_HPS_FORMAT_FIGEXP M_FIG C_FIG IRE1 kinase activity promotes an inflammation-specific adipocyte lipolytic program that is separate from hormonal or adrenergic regulation of lipolysis.

physiology↗

Comprehensive Integrated Anatomical And Molecular Atlas Of Rodent Intrinsic Cardiac Nervous System

In this study, we developed, coordinated, and integrated several technologies including novel whole organ imaging, software development to support the very first precise 3D neuroanatomical mapping and molecular phenotyping of the intracardiac nervous system (ICN). While qualitative and gross anatomical descriptions of the anatomy of the ICN have been presented, we here bring forth the first comprehensive atlas at large scale of the entire ICN in rat at a single cell resolution. Our work for the first time provides a novel 3D model to precisely integrate anatomical, functional and molecular data in the 3D digitally reconstructed whole heart with high resolution at the micron scale. This work represents the cutting edge in a long history of attempts to understand the anatomical substrate upon which the neuronal control of cardiac function is built. To our knowledge, there has not yet been a comprehensive histological mapping to generate a neurocardiac atlas at cellular and molecular level for the whole heart of any species. We now display the full extent and the position of neuronal clusters on the base and posterior left atrium, and the distribution of molecular phenotypes in that context. In addition we display in this context distinct molecular phenotypes that are defined along the base-to-apex axis, and the present novel discovery of their phenotypical spatial gradients, have not been previously described. The development of these approaches needed to acquire these data has produced method pipelines which can not only achieve the goals of anatomical and molecular mapping of the heart, but also provide the method pipelines for mapping other organs (e.g., stomach, lung, kidney, and liver).

neuroscience↗