Stable expression of truncated titin proteins and titin haploinsufficiency characterize TTN cardiomyopathy and represent targets for therapy.

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BACKGROUND: Pericytes have been implicated in tissue repair, remodeling, and fibrosis. Although the mammalian heart contains abundant pericytes, their fate and involvement in myocardial disease remains unknown. METHODS: We used NG2 Dsred ;PDGFRα EGFP pericyte:fibroblast dual reporter mice and inducible NG2 CreER mice to study the fate and phenotypic modulation of pericytes in myocardial infarction. The transcriptomic profile of pericyte-derived cells was studied using polymerase chain reaction arrays and single-cell RNA sequencing. The role of transforming growth factor–β (TGF-β) signaling in regulation of pericyte phenotype was investigated in vivo using pericyte-specific TGF-β receptor 2 knockout mice and in vitro using cultured human placental pericytes. RESULTS: In normal hearts, neuron/glial antigen 2 (NG2) and platelet-derived growth factor receptor α (PDGFRα) identified distinct nonoverlapping populations of pericytes and fibroblasts, respectively. After infarction, a population of cells expressing both pericyte and fibroblast markers emerged. Lineage tracing demonstrated that in the infarcted region, a subpopulation of pericytes exhibited transient expression of fibroblast markers. Pericyte-derived cells accounted for ~4% of PDGFRα+ infarct fibroblasts during the proliferative phase of repair. Pericyte-derived fibroblasts were overactive, expressing higher levels of extracellular matrix genes, integrins, matricellular proteins, and growth factors, when compared with fibroblasts from other cellular sources. Another subset of pericytes contributed to infarct angiogenesis by forming a mural cell coat, stabilizing infarct neovessels. Single-cell RNA sequencing showed that NG2 lineage cells diversify after infarction and exhibit increased expression of matrix genes, and a cluster with high expression of fibroblast identity markers emerges. Trajectory analysis suggested that diversification of infarct pericytes may be driven by proliferating cells. In vitro and in vivo studies identified TGF-β as a potentially causative mediator in fibrogenic activation of infarct pericytes. However, pericyte-specific TGF-β receptor 2 disruption had no significant effects on infarct myofibroblast infiltration and collagen deposition. Pericyte-specific TGF-β signaling was involved in vascular maturation, mediating formation of a mural cell coat investing infarct neovessels and protecting from dilative remodeling. CONCLUSIONS: In the healing infarct, cardiac pericytes upregulate expression of fibrosis-associated genes, exhibiting matrix-synthetic and matrix-remodeling profiles. A fraction of infarct pericytes exhibits expression of fibroblast identity markers. Pericyte-specific TGF-β signaling plays a central role in maturation of the infarct vasculature by protecting from adverse dilative remodeling, but it does not modulate fibrotic remodeling.

Background In the myocardium, pericytes are often confused with other interstitial cell types, such as fibroblasts. The lack of well‐characterized and specific tools for identification, lineage tracing, and conditional targeting of myocardial pericytes has hampered studies on their role in heart disease. In the current study, we characterize and validate specific and reliable strategies for labeling and targeting of cardiac pericytes. Methods and Results Using the neuron‐glial antigen 2 (NG2) DsRed reporter line, we identified a large population of NG2+ periendothelial cells in mouse atria, ventricles, and valves. To examine possible overlap of NG2+ mural cells with fibroblasts, we generated NG2 DsRed ; platelet‐derived growth factor receptor (PDGFR) α EGFP pericyte/fibroblast dual reporter mice. Myocardial NG2+ pericytes and PDGFRα+ fibroblasts were identified as nonoverlapping cellular populations with distinct transcriptional signatures. PDGFRα+ fibroblasts expressed high levels of fibrillar collagens, matrix metalloproteinases, tissue inhibitor of metalloproteinases, and genes encoding matricellular proteins, whereas NG2+ pericytes expressed high levels of Pdgfrb , Adamts1 , and Vtn . To validate the specificity of pericyte Cre drivers, we crossed these lines with PDGFRα EGFP fibroblast reporter mice. The constitutive NG2 Cre driver did not specifically track mural cells, labeling many cardiomyocytes. However, the inducible NG2 CreER driver specifically traced vascular mural cells in the ventricle and in the aorta, without significant labeling of PDGFRα+ fibroblasts. In contrast, the inducible PDGFRβ CreER line labeled not only mural cells but also the majority of cardiac and aortic fibroblasts. Conclusions Fibroblasts and pericytes are topographically and transcriptomically distinct populations of cardiac interstitial cells. The inducible NG2 CreER driver optimally targets cardiac pericytes; in contrast, the inducible PDGFRβ CreER line lacks specificity.

Infarct healing is dependent on recruitment of inflammatory leukocytes and subsequent activation of myofibroblasts (MF) and neovessel formation, ultimately resulting in formation of a highly vascularized collagen-enriched scar. Though the heart has an abundant population of periendothelial pericytes, its role in wound healing upon myocardial infarction (MI) has not been studied. We hypothesized that in the infarcted myocardium, pericytes may become activated, contributing to inflammatory, fibrotic and angiogenic responses. We used pericyte/fibroblast reporter mice (NG2 DsRed ;PDGFRα GFP ), lineage tracing studies and in vitro approaches to study the fate and role of pericytes in the infarcted myocardium. In normal hearts, NG2+/PDGFRα- pericytes and PDGFRα+/NG2- fibroblasts had distinct transcriptomic profiles. Pericytes expressed mural genes like Acta2 , Pdgfrb and low amounts of extracellular matrix (ECM) genes, whereas fibroblasts synthesized collagens, Timp2/3 and matricellular genes. 7 days post-MI, expansion of the NG2+ population in the infarct zone was associated with emergence of non-mural NG2+/αSMA+ cells with MF characteristics. FACS-sorted NG2+/PDGFRα- cells from 7-day infarcts expressed higher levels of collagens when compared to NG2+/PDGFRα- cells from normal hearts. Infarct pericytes had high integrin and MMP14 expression, reflecting an activated migratory phenotype. Lineage tracing using NG2CreER TM ;Rosa tdTomato ;PDGFRα GFP mice showed that 5.7%±1.04 of PDGFRα+ fibroblasts and 10.49%±2.73 of infarct MFs were derived from NG2+ lineage. Pericyte-derived fibroblasts exhibited higher ECM gene synthesis, in comparison to fibroblasts from non-pericyte origin, while pericyte-derived mural cells showed accentuated inflammatory cytokine gene expression. Immunostaining showed pericytes actively contribute to vascular maturation, forming a mural cell coat enwrapping infarct neovessels. In vitro, TGFβ induced integrins, collagens and MMPs in human pericytes, similar to the changes observed in infarct pericytes. Taken together, our evidences show that after MI, pericytes become activated and contribute to repair by undergoing conversion to a subset of myofibroblasts and by coating infarct neovessels.

Introduction: Decreased physical activity has been associated with poorer mental health and is a cause for concern during the COVID-19 pandemic. Objective: To compare groups of medical students (MS) who practiced different levels of moderate and vigorous physical activity (MVPA) during the COVID-19 pandemic, in relation to symptoms of anxiety and depression (BAI-BDI), sleep quality (PSQI), and physical activity (PA) - light, moderate, vigorous (LPA-MPA and VPA), and sedentary behavior (SB). Methods: This research is a cross-sectional study involving 218 MS. Data on the characteristics of the MS were collected through online forms: PA, SB, BAI, BDI, and PSQI. The Cohen's D (Effect Size - ES) and confidence interval (95% CI), Mann-Whitney test: Lower MVPA (Median=0 minute) and Higher MVPA (Median=390 minutes) were recorded. For the statistical analyses, we used: the Odds ratio (OR) for the presence of symptoms of high levels of anxiety and depression and poor sleep quality in the MS and MVPA. Results: We found a small ES for symptoms of depression (ES 0.26 95% CI 0.00 0.53 p=0.029), and significant differences (p<0.05) for symptoms of anxiety (ES 0.17 95% CI −0.09 0.44 p=0.037). There was also a significant tendency for sedentary behavior on weekdays (ES 0.27 95% CI 0.00 0.53 p = 0.051). The OR for MVPA and the presence of symptoms of high levels of anxiety was 0.407 (95% CI = 0.228 to 0.724). Conclusions: the MS who practiced higher MVPA presented less symptoms of anxiety and depression during the COVID-19 pandemic. Level of evidence III; Case-control study.

<b><i>Background:</i></b> The effects of hyperventilation and hyperventilation in the context of periodic breathing (PB) on sympatho-vagal balance (SVB) and hemodynamics in conditions of decreased cardiac output and feedback resetting, such as heart failure (HF) or pulmonary arterial hypertension (PAH), are not completely understood. <b><i>Objectives:</i></b> To investigate the effects of voluntary hyperventilation and simulated PB on hemodynamics and SVB in healthy subjects, in patients with systolic HF and reduced or mid-range ejection fraction (HFrEF and HFmrEF) and in patients with PAH. <b><i>Methods:</i></b> Study participants (<i>n</i> = 20 per group) underwent non-invasive recording of diastolic blood pressure, heart rate variability (HRV), baroreceptor-reflex sensitivity (BRS), total peripheral resistance index (TPRI) and cardiac index (CI). All measurements were performed at baseline, during voluntary hyperventilation and during simulated PB with different length of the hyperventilation phase. <b><i>Results:</i></b> In healthy subjects, voluntary hyperventilation led to a 50% decrease in the mean BRS slope and a 29% increase in CI compared to baseline values (<i>p</i> &#x3c; 0.01 and <i>p</i> &#x3c; 0.05). Simulated PB did not alter TPRI or CI and showed heterogeneous effects on BRS, but analysis of dPBV revealed decreased sympathetic drive in healthy volunteers depending on PB cycle length (<i>p</i> &#x3c; 0.05). In HF patients, hyperventilation did not affect BRS and TPRI but increased the CI by 10% (<i>p</i> &#x3c; 0.05). In HF patients, simulated PB left all of these parameters unaffected. In PAH patients, voluntary hyperventilation led to a 15% decrease in the high-frequency component of HRV (<i>p</i> &#x3c; 0.05) and a 5% increase in CI (<i>p</i> &#x3c; 0.05). Simulated PB exerted neutral effects on both SVB and hemodynamic parameters. <b><i>Conclusions:</i></b> Voluntary hyperventilation was associated with sympathetic predominance and CI increase in healthy volunteers, but only with minor hemodynamic and SVB effects in patients with HF and PAH. Simulated PB had positive effects on SVB in healthy volunteers but neutral effects on SVB and hemodynamics in patients with HF or PAH.