# Targeting the Biology of Aging in Cerebrovascular Disease: Inflammation, Metabolism, Senescence, and Regeneration

**Authors:** Daniela Glavan, Thorsten R. Doeppner, Mihaela Abuzan, Dirk M. Hermann, Bogdan Capitanescu, Denisa Greta Olaru, Aurel Popa-Wagner

PMC · DOI: 10.3390/ijms27041880 · International Journal of Molecular Sciences · 2026-02-15

## TL;DR

This paper explores new therapies targeting aging-related cerebrovascular diseases by focusing on inflammation, metabolism, and regeneration.

## Contribution

The paper introduces novel therapeutic strategies tailored to the aging brain's unique biology.

## Key findings

- Aging is a major risk factor for cerebrovascular disease, affecting vascular and immune functions.
- Emerging therapies include senescence targeting, stem cell regeneration, and RNA-based interventions.
- Precision medicine and chronobiology are highlighted for personalized treatment of elderly patients.

## Abstract

Aging is the strongest independent risk factor for cerebrovascular diseases, profoundly influencing vascular structure, immune responses, and regenerative capacity of the brain. Traditional therapeutic strategies, largely developed in younger populations, often show reduced efficacy and increased risk in elderly patients, underscoring the need for age-adapted interventions. Advances in the understanding of cerebrovascular aging have revealed key mechanisms such as vascular senescence, chronic low-grade inflammation, blood–brain barrier dysfunction, mitochondrial impairment, and circadian dysregulation as central drivers of disease progression and poor recovery. This narrative review summarizes emerging therapeutic strategies targeting the molecular and cellular hallmarks of aging-related cerebrovascular disease. These include immunomodulatory and anti-inflammatory approaches, senescence-targeted therapies, stem cell and extracellular vesicle-based regenerative strategies, RNA-based interventions, and metabolic and mitochondrial modulation. Particular emphasis is placed on therapies aimed at restoring neurovascular unit integrity and promoting brain repair in the aged microenvironment. Additionally, this review highlights the growing role of chronobiology and precision medicine, integrating biomarkers and multi-omics approaches to tailor treatments for elderly patients. Collectively, these emerging therapies represent a paradigm shift from symptom-oriented management toward mechanism-based and personalized interventions. Addressing age-specific pathophysiology will be critical for improving outcomes in cerebrovascular diseases in the aging population and for translating experimental advances into effective clinical therapies.

## Full-text entities

- **Genes:** NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, MIR155 (microRNA 155) [NCBI Gene 406947] {aka MIRN155, miRNA155, mir-155}, MIR21 (microRNA 21) [NCBI Gene 406991] {aka MIRN21, hsa-mir-21, miR-21, miRNA21}, PRKAB1 (protein kinase AMP-activated non-catalytic subunit beta 1) [NCBI Gene 5564] {aka AMPK, HAMPKb}, MIR210 (microRNA 210) [NCBI Gene 406992] {aka MIRN210, mir-210}, CDKN1A (cyclin dependent kinase inhibitor 1A) [NCBI Gene 1026] {aka CAP20, CDKN1, CIP1, MDA-6, P21, SDI1}, TEK (TEK receptor tyrosine kinase) [NCBI Gene 7010] {aka CD202B, GLC3E, TIE-2, TIE2, VMCM, VMCM1}, TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, MIR126 (microRNA 126) [NCBI Gene 406913] {aka MIRN126, miRNA126, mir-126}, CDKN2A (cyclin dependent kinase inhibitor 2A) [NCBI Gene 1029] {aka ARF, CAI2, CDK4I, CDKN2, CMM2, INK4}, MIR132 (microRNA 132) [NCBI Gene 406921] {aka MIRN132, miRNA132, mir-132}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IL1A (interleukin 1 alpha) [NCBI Gene 3552] {aka IL-1 alpha, IL-1A, IL1, IL1-ALPHA, IL1F1}, BMAL1 (basic helix-loop-helix ARNT like 1) [NCBI Gene 406] {aka ARNTL, ARNTL1, BMAL1c, JAP3, MOP3, PASD3}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, BCL2 (BCL2 apoptosis regulator) [NCBI Gene 596] {aka Bcl-2, PPP1R50}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, BCL2L1 (BCL2 like 1) [NCBI Gene 598] {aka BCL-XL/S, BCL2L, BCLX, Bcl-X, PPP1R52}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, NLRP3 (NLR family pyrin domain containing 3) [NCBI Gene 114548] {aka AGTAVPRL, AII, AVP, C1orf7, CIAS1, CLR1.1}, TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}, CASP1 (caspase 1) [NCBI Gene 834] {aka ICE, IL1BC, P45}, CTNNB1 (catenin beta 1) [NCBI Gene 1499] {aka CTNNB, EVR7, MRD19, NEDSDV, armadillo}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, CLOCK (clock circadian regulator) [NCBI Gene 9575] {aka KAT13D, bHLHe8}
- **Diseases:** white matter damage (MESH:D056784), neuronal damage (MESH:D009410), bleeding (MESH:D006470), hypoxic (MESH:D002534), infarct (MESH:D007238), post-stroke (MESH:D020521), metabolic (MESH:D008659), vascular fragility (MESH:D005600), cerebral small vessel disease (MESH:D059345), synaptic dysfunction (MESH:C536122), ischemia (MESH:D007511), vascular instability (MESH:D043171), tissue injury (MESH:D017695), axonal damage (MESH:D001480), endothelial (MESH:D005642), cognitive decline (MESH:D003072), damage (MESH:D020263), chronic (MESH:D002908), Inflammation (MESH:D007249), injury (MESH:D014947), neurodegeneration (MESH:D019636), microvascular dysfunction (MESH:D017566), synapse loss (MESH:D016388), dyslipidemia (MESH:D050171), complement (MESH:D007153), vascular brain injury (MESH:D020214), hypertension (MESH:D006973), sleep disturbances (MESH:D012893), brain injury (MESH:D001930), Mitochondrial dysfunction (MESH:D028361), cardiovascular disease (MESH:D002318), metabolic failure (MESH:D051437), Metabolic insufficiency (MESH:D000309), ischemic stroke (MESH:D002544), tumor (MESH:D009369), NVU dysfunction (MESH:D013901), diabetes (MESH:D003920), atrial fibrillation (MESH:D001281), Endothelial dysfunction (MESH:D014652), ischemic (MESH:D002545), immune dysfunction (MESH:D007154), ischemic damage (MESH:D017202), toxicity (MESH:D064420), Cerebrovascular Disease (MESH:D002561), vascular (MESH:D057772), BBB dysfunction (MESH:C536830), Neuroinflammation (MESH:D000090862)
- **Chemicals:** metformin (MESH:D008687), lipid (MESH:D008055), MitoQ (MESH:C429014), NAD+ (MESH:D009243), nitric oxide (MESH:D009569), glucose (MESH:D005947), nicotinamide riboside (MESH:C018613), calcium (MESH:D002118), navitoclax (MESH:C528561), ROS (MESH:D017382), SS-31 (-), Melatonin (MESH:D008550), fisetin (MESH:C017875), dasatinib (MESH:D000069439), lactate (MESH:D019344), quercetin (MESH:D011794), amino acid (MESH:D000596), rapamycin (MESH:D020123), nicotinamide mononucleotide (MESH:D009537)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

190 references — full list in the complete paper: https://tomesphere.com/paper/PMC12941123/full.md

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Source: https://tomesphere.com/paper/PMC12941123