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Sidarta-Oliveira, D.

Publications and source records attributed to Sidarta-Oliveira, D..

3 recordsLinked to original sources

β2AR Agonists Sustain Thermogenesis and Leanness via Sympathofacilitation

Human thermogenesis depends on {beta}2-adrenoceptors ({beta}2AR) expressed in thermogenic adipocytes, which are activated by norepinephrine released from sympathetic neurons. Whether {beta}2AR also modulates thermogenesis via direct presynaptic action within sympathetic neurons has remained unclear. Here, we identify Adrb2 expression in human and rodent cervical sympathetic neurons. {beta}2AR agonism exerts neurotrophic effects and facilitates cholinergic responsiveness in mouse sympathetic neurons, indicating a sympathofacilitatory role. Selective deletion of {beta}2AR in sympathetic neurons leads to impaired nerve activity in brown adipose tissue, sympathetic neuropathy, worsened fasting-induced hypothermia, and progressive obesity in chow-fed mice--without changes in food intake. These findings uncover a presynaptic role for {beta}2AR in sustaining thermogenesis and regulating adiposity, suggesting sympathofacilitation as a therapeutic avenue for obesity. HighlightsO_LIHuman and mouse cervical sympathetic neurons express adrenoceptor beta 2 (Adrb2) C_LIO_LI{beta}2-adrenoceptor ({beta}2AR) activation is neurotrophic and facilitates sympathetic neuronal excitability C_LIO_LILoss of {beta}2AR in sympathetic neurons leads to neuropathy in brown adipose tissue and reduced sympathetic activity C_LIO_LIDeletion of {beta}2AR in sympathetic neurons exacerbates fasting-induced hypothermia and promotes obesity independently of food intake C_LI

physiology↗

Distinct adrenal gland macrophages regulate corticosteroid production

The adrenal glands are hormone secreting glands that sit on top of the kidneys. Adrenal glands produce glucocorticoids, mineralocorticoids, and catecholamines, and are therefore critical regulators of the stress response, the immune response, metabolism, and blood pressure. Despite being identified for more that 30 years, our understanding of adrenal macrophages remains incomplete. In numerous other tissues, macrophages carry out a plethora of physiological and homeostatic roles in addition to their classical immune functions. The aim of this study was to characterise the macrophage compartment of the adrenal gland and assess its contribution to adrenal function. Using an in vivo approach, we herein describe two morphologically and spatially distinct subsets of adrenal macrophages - dendritic-like macrophages that are present throughout the gland in young and old mice, and "foamy" lipid-laden macrophages that accumulate in the murine adrenal cortex in an age and diet-dependent manner. Furthermore, we present data showing that these foamy-like macrophages accumulate cholesterol and thereby regulate adrenal hormonal output, at steady state and in the context of obesity. We hereby provide novel insights into the physiological roles of macrophages in the adrenal gland and the mechanisms by which adrenal hormone production is regulated.

immunology↗

A comprehensive dimensional reduction framework to learn single-cell phenotypic topology uncovers T cell diversity

Reconstructing and investigating the geometry underlying data is a fundamental task in single-cell analysis, yet no unified framework exists for learning, evaluating, and diagnosing representations that faithfully preserve it. We present TopoMetry, a geometry-aware framework that learns intrinsic coordinate systems directly from the data and refines them into high-fidelity spectral scaffolds. These scaffolds capture both local neighborhoods and global structure, supporting downstream analysis such as clustering and visualization. In benchmarks across diverse single-cell datasets, TopoMetry preserved geometry more reliably than standard workflows and revealed biological signals otherwise obscured, including unexpected transcriptional diversity among T cells and links between RNA-defined subpopulations and clonal expansion. The full analysis can be executed with a single line of code to generate a comprehensive report, making the framework both powerful and accessible. Beyond individual findings, TopoMetry warrants a shift of focus from static two-dimensional projections to the systematic learning and evaluation of geometry itself, enabling more accurate exploration of cellular diversity.

bioinformatics↗