Editorial: Decoding vascular aging: unraveling the enigma of pathological conditions and pre-mature vascular aging
Notice bibliographique
Résumé
Vascular aging represents a fundamental biological process and a key determinant of cardiovascular morbidity and mortality. Far from being solely determined by chronological age, process such as smooth muscle phenotypical switches, endothelial mechanotransduction, mitochondrial quality control, and immune cells response together with organ and tissue level mechanisms such as neurovascular coupling, blood–brain barrier integrity, and life-course exposures such as diet, sleep, and infection. The contributions to this Special Issue bridge basic, translational, and clinical sciences, offering novel perspectives on mechanisms underlying normal and premature vascular aging, emerging risk factors, and potential therapeutic strategies. In this issue, Kenedy et al. (https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2025.1599339/abstract) highlight how endothelial cells translate hemodynamic forces into genomic programs—and how this "language of flow" can be distorted in Hutchinson Gilford Progeria Syndrome (HGPS). They demonstrate that endothelial cells elongate poorly under laminar flow and mount a blunted, misdirected transcriptional response in which a cholesterol-homeostasis program and the athero-inflammatory lectin LGALS3 are aberrantly upregulated. Importantly, correction of upstream nuclear-lamina defect restores elements of the shear-stress response, thereby tying genotype to a failure of flow protection. In parallel, Wendt et al. (https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2024.1471272/fullhave) have shown that short ex vivo exposure of mouse thoracic aortas to oxidized low-density lipoprotein (oxLDL) reprograms vasoreactivity through lectin-like oxLDL receptor 1 (LOX-1) in an endothelium-dependent manner, striking age-and sex-specific differences in stiffness, diameter, and vascular remodeling. The observed effects were attenuated by receptor inhibition. Collectively, these findings suggest that pro-aging inputs—nuclear-lamina pathology and oxidized lipids—disrupt endothelial sensing of both mechanical and chemical cues, thereby predisposing vessels toward dysfunction before structural disease becomes apparent. Mitochondrial pathways surface repeatedly as both drivers and sensors—of aging phenotypes. Lou et al. (https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2023.1279548/full) demonestrated that mitochondrial microRNAs (mitomiRs) regulate redox balance, apoptosis, mitophagy, calcium handling, and mitochondrial DNA (mtDNA) transcription—an epigenetic layer that may explain why the identical hemodynamic or inflammatory stressor yields different cellular fates with age. Extending this axis into vascular smooth muscle, Rothwell et al. (https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2024.1488248/full) showed that loss-of-function variants of POLG-encoded mitochondrial DNA polymerase (POLG), observed in hypertensive patients, reduce mtDNA copy number and, importantly, trigger secretion of a diffusible mitogen that accelerates proliferation in neighboring cells. They also showed that pharmacological probes such as wedelolactone and MitoTEMPOL could temper this mitogenic drive. This "mitochondria-to-mitogen" mechanism offers a structural path to drug-resistant hypertension: even modest mitochondrial impairment can broadcast a growth signal that remodels the arterial wall. Vascular aging is inseparable from neurovascular aging. Two original studies quantify how systemic or traumatic perturbations imprint cerebrovascular structure and glial interfaces. A study by Curry-Koski et al. (https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2024.1457034/full) demonstrate that a well-established Marfan syndrome mouse model carrying a heterozygous missense mutation in the gene encoding for fibrillin-1 protein exhibits reduced hippocampal microvascular density, increased blood–brain barrier permeability, and microglial activation at six months—mirroring phenotypes that typically emerge later—supporting a premature neurovascular aging trajectory in connective-tissue disease. Complementary mapping of astrocyte–vessel interactions after diffuse traumatic brain injury by Sabetta et al. (https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2024.1469073/full) reveal sex-dependent, long-lived alterations in Glial Fibrillary Acidic Protein (GFAP)-positive processes contacting cortical vessels, patterns consistent with lingering barrier vulnerability and a cellular substrate for accelerated brain aging after injury. These data extend the focus beyond parenchymal pathology to the perivascular unit, reframing long-term cognitive risk as, in part, a vascular remodeling disease. At the population interface, new analyses of sleep and post-viral states anchor everyday exposures to measurable vascular aging. Martínez-García et al. (https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2024.1430821/full) report that in healthy adults, shorter sleep duration associates inversely with advanced glycation end-products measured by skin autofluorescence—an accessible marker of cumulative metabolic stress—even after adjustment, reinforcing insufficient sleep as a modifiable vascular risk exposure. Complementing this, Gómez-Sánchez et al. (https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2023.1236430/full) outline a prospective, multimodal protocol incorporating —vascular structure and function, endothelial biomarkers, physical activity, cognition, and mental health—to quantify persistent COVID ("long COVID") as a vascular-aging condition; notably, it integrates cfPWV/baPWV and the cardio–ankle vascular index with endothelial injury readouts in a 300-participant cohort. Together, these studies illustrate how behaviors and post-viral syndromes may accelerate the arterial age clock, and how acceleration can be quantified reproducibly in real-world settings. A field-level bibliometric map by Chen et al. (https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2025.1557731/full) highlights that scientific finding itself follows an "aging" pattern. Reviewing more than 1,600 articles at the interface of metabolomics and arterial stiffness, the report shows mature attention clustering around fatty-acid pathways (including eicosatetraenoic acid and arachidonic acid), while bile-acid and microbiome-derived metabolites remain relatively underexplored. Most striking is the underrepresentation of early vascular aging cohorts in youth that warrant more studies and attention, if prevention is to remain a central focus. Taken together, three distinct themes emerge that integrate these diverse studies into a coherent framework: 1) endothelial centrality: from progerin-distorted shear responses to LOX-1– mediated oxidized-lipid effects, the endothelium emerges as a convergence point where mechanical and chemical stressors meet. Restoring "healthy shear" signaling—whether by correcting upstream genome architecture or blocking maladaptive receptors—is a credible anti-aging strategy; 2) mitochondrial control points: mitomiRs and POLG dysfunction demonstrate how mitochondrial information flow sets the tone of cellular stress responses and can propagate outward as paracrine growth cues that stiffen vessels; targeting mitochondrial redox and transcriptional crosstalk may yield outsized structural benefits; and 3) vulnerability of the neurovascular unit: premature aging in Marfan cerebrovasculature and sex-dependent astrocyte– vessel remodeling after traumatic brain injury position the perivascular niche as a long-lived "memory" of systemic insults, with implications for dementia risk stratification and sex-tailored interventions. Prospective These findings bring several priorities to our attention. In the field of vascular medicine, there is an emergent need to re-center on early vascular aging with youth and mid-life cohorts, combining pulse-wave–based measurements with endothelial injury panels and miRNA/mitomiR signatures to define targetable endpoints before wall stiffness is developed. We should also consider utilizing mechanotransduction therapeutics by translating genotype to flow-response insights into screens for compounds that restore shear-responsive transcripts (for example, suppressing maladaptive galectins) and by testing LOX-1 inhibitors in sex-and age-stratified designs aligned with ex vivo aorta data. Another innovative idea is to target mitochondria not only as power plants, but also as important information hubs, by developing mitomiR-guided interventions and evaluating anti-mitogenic, mito-active agents in structural hypertension models to interrupt smooth-muscle remodeling loops initiated by mitochondrial DNA stress. We should embed brain outcomes in vascular trials—adding barrier permeability and astrocyte–vessel interaction metrics, via advanced MRI and blood biomarkers, with sex as an important cofounder. It is also of great importance to give more credits to modifiable exposures such as sleep and infectious diseases, the same way we pay attention to diet and physical activity in the context of preventive medicine, understanding their contribution and impact on vascular function and structure over time. Collectively, these reports shift vascular aging research from static descriptors—thickness and stiffness—to dynamic, multi-scale pathophysiology that we can measure, modulate, and, crucially, modify early. By integrating mechanistic insights into endothelial shear programs, mitochondrial signaling, and lipid metabolism with translational models of progeria, Marfan syndrome, and traumatic brain injury—and grounding these findings in population-level factors such as sleep and post-COVID phenotyping—this Special Issue charts a roadmap to vascular rejuvenation that is both scientifically ambitious and clinically practical. Our thanks to the authors and reviewers for pushing the field toward that integrated future.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,010 | 0,014 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,018 | 0,010 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».