Biology subjects

Miranda, A. M. A.

Publications and source records attributed to Miranda, A. M. A..

7 recordsLinked to original sources

bioRxiv2026

Inhibition of the androgen-activating enzyme AKR1C3 selectively decreases systemic and intra-adipose 11-oxygenated androgens in women

Androgen excess drives metabolic and reproductive complications in polycystic ovary syndrome (PCOS), affecting 10-15% of women globally. Aldo-keto reductase 1C3 (AKR1C3) converts inactive precursors from both the classic and the recently identified 11-oxygenated androgen pathways, generating testosterone and 11-ketotestosterone, respectively, which exert comparable androgen receptor activation. Both circulate in similar concentrations in premenopausal women while 11-ketotestosterone is predominant after menopause and in PCOS. Here, we show that adipocytes are a major site of AKR1C3 and androgen receptor expression, with increased expression in women and individuals with obesity. Using human female adipose tissue explants, we find a much higher activation of 11-oxygenated over classic androgens, observing a decrease in 11-oxygenated but not classic androgen activation by AKR1C3 inhibition. Correspondingly, we demonstrate that AKR1C3 inhibitor treatment in premenopausal women selectively disrupts the activation of 11-oxygenated androgens. Pharmacological targeting of AKR1C3 provides a novel strategy to alleviate systemic and intra-adipose 11-oxygenated androgen excess. One Sentence SummaryInhibition of the androgen-activating enzyme AKR1C3 results in a major decrease in 11-oxygenated but not classic androgens in women.

physiology↗

bioRxiv2025

Non-canonical TERT function mitigates adipose tissue inflammation in obesity by modulating stem cell-macrophage communication and macrophage states

Background and aimsObesity drives adipose tissue (AT) expansion and chronic inflammation, leading to metabolic dysfunction through adipocyte hypertrophy, impaired ASPC differentiation, immune infiltration, and fibrosis. Stromal vascular remodeling prominently features expansion of Gdf15- and Trem2-expressing lipid-associated macrophages (LAMs), which respond to adipocyte stress and act as lipid scavengers to buffer excess lipids released by adipocytes. Here, we examined macrophage reprogramming in p21+/Tert and p21+/TertCi mice, which express active TERT or its catalytically inactive TERTCi mutant from the endogenous Cdkn1a promoter. ResultsFollowing HFD exposure, conditional expression of TERT or TERTCi resulted in a pronounced downregulation of p21 in macrophage subsets, accompanied by a reduction in AT inflammation. Notably, TERT and TERTCi expression reshaped the adipose-tissue macrophage (ATM) landscape depleting Trem2+ and Gdf15+ LAMs while preserving resident macrophages. This shift was accompanied by marked suppression of the Trem2 transcriptional program and down-regulation of PPAR-{gamma} and NR1H3 in LAMs and by impaired ASPC-LAM signaling pathways that normally drive LAM recruitment and activation. Proteomic profiling further showed that p21+/Tert ASPCs secreted markedly higher levels of proteins associated with non-conventional secretion, while extracellular matrix-associated factors and cytokines/chemokines including key mediators of ASPC-LAM communication such as Ccl2, C3, and Csf1 were substantially reduced. However, only p21+/Tert mice, and not p21+/TertCi mice, exhibited significant metabolic improvements, indicating that macrophage remodeling alone is insufficient to restore systemic metabolic function. Consistent with this, enhanced ASPC expansion and differentiation, supporting improved adipose-tissue remodeling, was observed exclusively in p21+/Tert obese mice. ConclusionsTERT remodels adipose tissue immunity independently of its enzymatic activity, and TERT-driven reprogramming of the ASPC secretome may emerge as a promising strategy to combat obesity-related metabolic dysfunction. HighlightsO_LIConditional expression of TERT or catalytically inactive TERTCi results in the depletion Trem2+ and Gdf15+ LAMs while preserving resident macrophages C_LIO_LITERT and TERTCi expression impairs ASPC-adipocyte/LAM communication pathways that normally drive LAM recruitment and activation. C_LIO_LIIn vitro, TERT conditional expression in ASPCs promotes non-conventional protein secretion and reduces the secretion of key mediators of ASPC-LAM communication C_LIO_LIOnly p21+/Tert mice, and not p21+/TertCi mice, exhibited enhanced ASPC expansion, improved adipose-tissue remodeling, and systemic metabolic benefits, demonstrating that macrophage remodeling alone is insufficient to restore metabolic function. C_LI

physiology↗

bioRxiv2025

TERT prevents obesity-induced metabolic disorders by promoting adipose stem cell expansion and differentiation

Obesity is linked to limited adipose tissue (AT) remodeling capacity, leading to hypertrophic adipocytes, senescence, and inflammation. We used a mouse model expressing mTert (p21+/Tert) from the Cdkn1a locus to investigate the role of mTERT in obesity-induced metabolic disorders. Conditional expression of mTERT reduces metabolic disorders associated with obesity. In AT, this is accompanied by a decrease in the number of senescent p21-positive cells, very short telomeres, and oxidative DNA damage. Single nucleus RNA-seq data reveal TERT expression attenuates senescence induced by HFD in particular in adipose stem and progenitor cells (ASPC). We show that ASPC expansion and differentiation are promoted in p21+/Tert obese mice, thereby reducing metabolic disorders. We further report that mTERT remodels the landscape of macrophages in AT of obese mice. Strikingly, inactivation of mTERT catalytic activity in p21+/Tert (p21+/TertCi) mice suppresses the promotion of adipocyte formation, but neither affects attenuation of senescence nor macrophage remodeling. These results highlight mTERTs canonical and non-canonical functions in reducing obesity-associated metabolic disorders. Conditional expression of TERT thus appears as a potential therapeutic option for obesity.

physiology↗

bioRxiv2023

Integrated histopathology, spatial and single cell transcriptomics resolve cellular drivers of early and late alveolar damage in COVID-19

The most common cause of death due to COVID-19 remains respiratory failure. Yet, our understanding of the precise cellular and molecular changes underlying lung alveolar damage is limited. Here, we integrate single cell transcriptomic data of COVID-19 donor lungs with spatial transcriptomic data stratifying histopathological stages of diffuse alveolar damage (DAD). We identify changes in cellular composition across progressive DAD, including waves of molecularly distinct macrophages and depleted epithelial and endothelial populations throughout different types of tissue damage. Predicted markers of pathological states identify immunoregulatory signatures, including IFN-alpha and metallothionein signatures in early DAD, and fibrosis-related collagens in organised DAD. Furthermore, we predict a fibrinolytic shutdown via endothelial upregulation of SERPINE1/PAI-1. Cell-cell interaction analysis revealed macrophage-derived SPP1/osteopontin signalling as a key regulator during early DAD. These results provide the first comprehensive, spatially resolved atlas of DAD stages, highlighting the cellular mechanisms underlying pro-inflammatory and pro-fibrotic pathways across alveolar damage progression.

pathology↗

bioRxiv2023

Spatially resolved multiomics of human cardiac niches

A cells function is defined by its intrinsic characteristics and its niche: the tissue microenvironment in which it dwells. Here, we combine single-cell and spatial transcriptomic data to discover cellular niches within eight regions of the human heart. We map cells to micro-anatomic locations and integrate knowledge-based and unsupervised structural annotations. For the first time, we profile the cells of the human cardiac conduction system, revealing their distinctive repertoire of ion channels, G-protein coupled receptors, and cell interactions using a custom CellPhoneDB.org module. We show that the sinoatrial node is compartmentalised, with a core of pacemaker cells, fibroblasts and glial cells supporting paracrine glutamatergic signalling. We introduce a druggable target prediction tool, drug2cell, which leverages single-cell profiles and drug-target interactions, providing unexpected mechanistic insights into the chronotropic effects of drugs, including GLP-1 analogues. In the epicardium, we show enrichment of both IgG+ and IgA+ plasma cells forming immune niches which may contribute to infection defence. We define a ventricular myocardial-stress niche enriched for activated fibroblasts and stressed cardiomyocytes, cell states that are expanded in cardiomyopathies. Overall, we provide new clarity to cardiac electro-anatomy and immunology, and our suite of computational approaches can be deployed to other tissues and organs.

genomics↗

bioRxiv2022

Molecular characterization of Left-Right symmetry breaking in the mouse embryo

The asymmetric morphology of the mammalian heart is essential to its function as the organ of pulmonary and systemic double circulation. Left-right asymmetry is established by a leftward flow in the node that results in the asymmetric expression of Nodal. This triggers a cascade of asymmetric expression of downstream genes, such as Pitx2c, in the lateral plate mesoderm that gives rise to the first morphologically recognizable primordial heart structure, the cardiac crescent. Relatively little is known about gene expression asymmetries in the cardiac crescent that might underpin asymmetric cardiac morphogenesis. To systematically identify asymmetrically expressed genes, we performed a single-cell transcriptional analysis of manually dissected left and right halves of the cardiac crescent at stages spanning symmetry breaking. This revealed both left and right-sided genes that have not previously been implicated in left-right symmetry breaking. Some of these were expressed in multiple cell types but showed asymmetric expression in only a sub-set of cell types. We validated these findings using multiplexed in situ Hybridization Chain Reaction (HCR) and high-resolution volume imaging to characterize the expression patterns of select genes. Using Dnahiv/iv mutant embryos that show randomized situs, we established that all the genes tested tracked the asymmetric expression of Pitx2c, indicating their asymmetric expression also arose from the early asymmetries at the node. This study provides a high-fidelity molecular characterization of left-right symmetry breaking during cardiac crescent formation, providing a basis for future mechanistic studies on asymmetric cardiac morphogenesis.

developmental biology↗

bioRxiv2017

Spatial protein analysis in developing tissues: a sampling-based image processing approach

Advances in fluorescence microscopy approaches have made it relatively easy to generate multi-dimensional image volumes and have highlighted the need for flexible image analysis tools for the extraction of quantitative information from such data. Here we demonstrate that by focusing on simplified feature-based nuclear segmentation and probabilistic cytoplasmic detection we can create a tool that is able to extract geometry based information from diverse mammalian tissue images. Our open-source image analysis platform, called SilentMark can cope with noisy images and with crowded fields of cells to quantify signal intensity in different cellular compartments. Additionally, it provides tissue geometry related information, which allows one to quantify protein distribution with respect to marked regions of interest. The lightweight SilentMark algorithms have the advantage of not requiring multiple processors and graphics cards and can be run even with just several hundred MB of memory. This makes it possible to use the method as a web application, effectively eliminating setup hurdles and compatibility issues with operating systems. We test this platform on mouse pre-implantation embryos, embryonic stem cell derived embryoid bodies and mouse embryonic heart and relate protein localisation to tissue geometry.

developmental biology↗