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Tombor, L. S.

Publications and source records attributed to Tombor, L. S..

4 recordsLinked to original sources

Adventitial leptin receptor-expressing fibroblasts are preferential contributors to fibrotic remodeling of the heart post infarction

BackgroundCardiac fibrosis, a hallmark of heart failure and an unmet clinical need, arises from pathological activation of pre-existing cardiac fibroblasts (CFs), but the contribution of CF heterogeneity to this process remains unclear. MethodsMurine models were used to lineage trace or deplete a specific sub-population of CFs at baseline and after myocardial infarction (MI). Transcriptional and epigenetic differences between fibroblast subsets were assessed using next-generation sequencing. Conservation in humans was evaluated through single-cell RNA-seq datasets and histological examination. ResultsIn mice, fibroblasts were the sole cardiac cell type expressing the signaling-capable isoform of the leptin receptor (LepR). LepR+ CFs emerged neonatally, occupied a defined niche in the coronary adventitia, exhibited enhanced hedgehog signaling, and responded to leptin. After MI, LepR-Cre+ CFs proliferated more than interstitial CFs, became a predominant fibroblast lineage in the scar, and their genetic ablation reduced fibrosis while improving function. LepR+ CFs were also detected in the human heart, where they were embedded in an adipocyte-rich niche. ConclusionsThese findings identify adventitial fibroblasts as key drivers of pathological remodeling and demonstrate that fibroblasts, rather than cardiomyocytes, are the principal responders to leptin in the heart, redefining how this major endocrine pathway influences cardiac remodeling and disease.

cell biology↗

Endothelial expression of ZBTB16 protects against cardiac aging

Background and aimAging significantly increases the risk of cardiovascular diseases, characterized by progressive cardiac dysfunction. The vascular niche is crucial for maintaining cardiac homeostasis, yet endothelial cell (EC) impairment during aging remains poorly understood. This study investigates epigenetically regulated mechanisms mediating EC-dependent cardiac aging and identifies a critical role of Zinc finger and BTB domain-containing protein 16 (ZBTB16). MethodsChromatin accessibility (snATAC-seq) and transcriptomic (snRNA-seq) analyses were performed on aged hearts to identify age-related regulatory changes. Functional studies using genetic models, assessed cardiac aging phenotypes. In vitro assays examined EC senescence and secretory profiles, while co-culture experiments analyzed the impact of ZBTB16-deficient EC supernatants on fibroblasts, cardiomyocytes, and neurons. Overexpression experiments in vitro and in vivo tested the potential for ZBTB16 to mitigate aging-associated dysfunction. ResultsAged hearts exhibited decreased chromatin accessibility and expression of the transcription factor ZBTB16 in both human and mice. Loss of ZBTB16 in young mice, including Zbtb16 haploinsufficient and endothelial-specific knockout mice, led to premature aging, diastolic dysfunction, and increased secretion of pro-fibrotic and inflammatory factors. Supernatants from ZBTB16-deficient ECs activated fibroblasts, induced cardiomyocyte hypertrophy, and impaired neuronal sprouting. Overexpression of ZBTB16 reversed these effects in senescent ECs and aged mice and reduced diastolic dysfunction. Mechanistic studies identified key downstream targets of ZBTB16, including nuclear receptor-interacting protein 1 (NRIP1). ZBTB16 suppressed NRIP1 expression, limiting fibroblast activation and pro-fibrotic signaling. ConclusionsZBTB16 is a key regulator of endothelial function, maintaining vascular niche homeostasis and mitigating aging-associated cardiac dysfunction. Its loss promotes EC senescence and pro-fibrotic signaling, contributing to diastolic dysfunction. Overexpression of ZBTB16 presents a potential therapeutic strategy for preserving cardiac function during aging. These findings establish a novel role for ZBTB16 in endothelial aging and cardiovascular disease prevention. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/681100v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@1a56e2org.highwire.dtl.DTLVardef@13e23fforg.highwire.dtl.DTLVardef@ad681eorg.highwire.dtl.DTLVardef@8eca8b_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Age-dependent RGS5 loss in pericytes induces cardiac dysfunction and fibrosis in the heart

BackgroundPericytes are capillary-associated mural cells involved in the maintenance and stability of the vascular network. Although ageing is one of the main risk factors for cardiovascular disease, the consequences of ageing on cardiac pericytes are unknown. MethodsIn this study, we have combined single-nucleus RNA sequencing and histological analysis to determine the effects of ageing on cardiac pericytes. Furthermore, we have conducted in vivo and in vitro analysis of Regulator of G protein signalling 5 (RGS5) loss of function and finally have performed pericytes-fibroblasts co-culture studies to understand the effect of RGS5 deletion in pericytes on the neighbouring fibroblasts. ResultsAgeing reduced the pericyte area and capillary coverage in the murine heart. Single nucleus RNA sequencing analysis further revealed that the expression of Rgs5 was reduced in cardiac pericytes from aged mice. In vivo and in vitro studies showed that the deletion of RGS5 impaired cardiac function, fibrosis, and induced morphological changes and a pro-fibrotic gene expression signature in pericytes characterized by the expression of different extracellular matrix components and growth factors e.g. TGFB2 and PDGFB. Indeed, culturing fibroblasts with the supernatant of RGS5 deficient pericytes induced their activation as evidenced by the increased expression of smooth muscle actin in a TGF{beta}2-dependent mechanism. ConclusionsOur results have identified RGS5 as a crucial regulator of pericyte function during cardiac ageing. The deletion of RGS5 causes cardiac dysfunction and induces myocardial fibrosis, one of the hallmarks of cardiac ageing.

physiology↗

Improved integration of single cell transcriptome data demonstrated on heart failure in mice and men

Biomedical research frequently uses murine models to study disease mechanisms. However, the translation of these findings to human disease remains a significant challenge. In order to improve the comparability of mouse and human data, we present a cross-species integration pipeline for single-cell transcriptomic assays. The pipeline merges expression matrices and assigns clear orthologous relationships. Starting from Ensembl ortholog assignments, we allocated 82% of mouse genes to unique orthologs by using additional publicly available resources such as Uniprot, and NCBI databases. For genes with multiple matches, we employed the Needleman-Wunsch global alignment based on either amino acid or nucleotide sequence to identify the ortholog with the highest degree of similarity. The workflow was tested for its functionality and efficiency by integrating scRNA-seq datasets from heart failure patients with the corresponding mouse model. We were able to assign unique human orthologs to up to 80% of the mouse genes, utilizing the known 17,492 orthologous pairs. Curiously, the integration process enabled the identification of both common and unique regulatory pathways between species in heart failure. In conclusion, our pipeline streamlines the integration process, enhances gene nomenclature alignment and simplifies the translation of mouse models to human disease. We have made the OrthoIntegrate R-package accessible on GitHub (https://github.com/MarianoRuzJurado/OrthoIntegrate), which includes the assignment of ortholog definitions for human and mouse, as well as the pipeline for integrating single cells. KeypointsO_LINovel integration workflow for scRNA-seq data from different species in an easy to use R-package ("OrthoIntegrate"). C_LIO_LIImproved one-to-one ortholog assignment via sequence similarity scores and string similarity calculations. C_LIO_LIValidation of "OrthoIntegrate" results with a case study of snRNA-seq from human heart failure with reduced ejection fraction and its corresponding mouse model C_LI

bioinformatics↗