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Review article

Aging as a modulator of multiple sclerosis pathophysiology

Jasmina Đuretić1
  • University of Belgrade, Faculty of Pharmacy, Department of Pathobiology, Belgrade, Serbia

ABSTRACT

The number of older patients with multiple sclerosis is rising significantly, including individuals with late-onset disease (after age 50) and very lateonset disease (after age 60). Aging affects the immune and nervous systems, contributing to a shift in the clinical course towards a progressive pattern and increasing the risk of disease progression independent of relapse activity (PIRA). Additionally, late-onset multiple sclerosis is characterised by a more frequent progressive phenotype, fewer inflammatory relapses, and a shorter time to disability accumulation. Immune system aging (immunosenescence) leads to a reduced diversity of the T-cell receptor repertoire, changes in the number and function of CD4+ and CD8+ T lymphocytes, and an imbalance between effector and regulatory T cells. At the central nervous system level, aging contributes to neurodegeneration through increased oligodendrocyte degeneration, microglial dysfunction, iron accumulation, oxidative stress, mitochondrial dysfunction, and diminished neuroprotective mechanisms. Reduced proliferation and differentiation of neural stem cells, as well as structural and functional changes in glutamate receptors, primarily N-methyl-D-aspartate receptors, further compromise neuroprotective and reparative processes. Understanding the interactions between aging and the pathophysiological mechanisms of multiple sclerosis is crucial for developing targeted therapeutic strategies for the increasing population of older patients with multiple sclerosis. This paper aims to examine, through an integrative review of the available literature, the role of the aging process in modulating key pathophysiological mechanisms of multiple sclerosis.


INTRODUCTION

According to the Multiple Sclerosis International Federation, of the 2.8 million of people living with multiple sclerosis worldwide, one in ten people are aged 65 years or older. Because multiple sclerosis is a chronic condition that can persist for decades, most of these older patients have lived with the disease for more than 20 years [1]. The onset of multiple sclerosis most commonly occurs between the ages of 20 and 40, and the relapsing-remitting form of the disease affects approximately 85% of patients [2]. Primary-progressive and secondary-progressive multiple sclerosis typically begin at similar ages, around 45 years, and are characterized by disease progression that leads to the accumulation of disability over a comparable period of time [3],[4]. Studies have shown that the initial form of multiple sclerosis, whether relapsing-remitting or primary-progressive, does not significantly influence the age at which key stages of disability are reached [4]. In recent decades, the incidence of late-onset multiple sclerosis, defined as disease onset after the age of 50, has increased significantly [5]. A notable rise has also been observed in the incidence of very late-onset multiple sclerosis, with disease onset occurring after the age of 60 [6],[7]. In patients with late-onset multiple sclerosis, the disease more frequently follows a progressive course from the very onset [5].

Chronological aging is a physiological process that affects both the central nervous system (CNS) and the immune system. Conversely, chronic inflammatory processes and neurodegeneration associated with multiple sclerosis contribute to an accelerated process of biological aging of the CNS [8]. Aging of the immune system (immunosenescence) affects both the innate and adaptive immune systems. Its consequences are numerous, ranging from reduced immune surveillance of damaged or senescent cells, through changes in the distribution and function of innate immune cells, to pronounced alterations in the T-cell compartment [9],[10].

In the recent years, the concept of ”progression independent of relapse activity" (PIRA) has been introduced. It refers to the accumulation of disability in the absence of a preceding acute relapse and indicates neurodegeneration occurring independently of the inflammatory process in multiple sclerosis [11]. The study by Tur et al. (2022) showed that older age at the time of the first attack was associated with a higher risk of developing PIRA. More specifically, the risk of PIRA increased by 43% for each additional decade of age at the first attack in patients with multiple sclerosis [11]. The aging process increases neuronal vulnerability, promotes the accumulation of neural tissue damage, and simultaneously reduces both functional resilience and the capacity for repair [12].

The aim of this paper is to examine, through an integrative review of the available literature, the role of the aging process in modulating the key pathophysiological mechanisms of multiple sclerosis.

INFLUENCE OF AGAING ON IMMUNE SYSTEM REMODELING

Immunosenescence refers to the age-related structural and functional changes in the immune system that result in impaired immune efficiency [13]. Aging results in alterations in both the number and function of immune cells, a weakened adaptive immune response, persistent low-grade inflammation, and metabolic changes within the immune system [9],[13].

Age-related involution of the thymus causes a gradual reduction in the peripheral repertoire of naïve T lymphocytes. This deficit is partially compensated by increased homeostatic proliferation and clonal expansion of existing T-cell populations, leading to a relative enlargement of the memory T-cell pool. This remodeling of the adaptive immune system leads to diminished immune plasticity and a reduced capacity to mount effective responses against new or tumor antigens [14]. Homeostatic proliferation and antigen-driven clonal expansion of existing T-cell populations are mechanisms that can support the survival and expansion of autoreactive T-cell clones. Aging-induced reduction in the diversity of the T-cell receptor repertoire impairs immune system efficiency and weakens reparative mechanisms, thereby creating conditions that favor exacerbation of the pathological process and disease progression [15]. Studies have shown that aging causes significant changes in the number and function of CD4+ and CD8+ T lymphocytes, with these changes being more pronounced in the CD8+ T-cell population, both in humans and in animal models [16],[17]. Aging also results in an increased number of regulatory T-cells in humans [18], with a similar trend observed in animal models of multiple sclerosis [19],[20]. The functional activity of regulatory T-cells remains unchanged, or may even increase, with aging in humans [18]. However, findings from animal studies suggest that the accumulation of peripheral regulatory T-cells (CD4+FoxP3+) may delay disease onset in older individuals, while after onset, their reduced migration into the CNS limits effective control of the progressive course of the disease [20]. In aged mice with an induced animal model of multiple sclerosis, regulatory T lymphocytes (CD4+FoxP3+) exhibited greater plasticity, reflected by the co-expression of interferon (IFN)-γ and/or interleukin (IL)-17 with FoxP3, compared to younger mice [20]. This plasticity of regulatory T lymphocytes in older individuals can reduce their suppressive function, leading to an increase in pathological processes within the CNS. Moreover, a marked imbalance between effector and regulatory T-cells may significantly influence the clinical course of multiple sclerosis in elderly patients [18],[20]. Key features of physiological T-lymphocyte aging are also observed in patients with multiple sclerosis [21],[22]. However, in a study of multiple sclerosis patients who were naïve to immunomodulatory therapy, a significant increase in activated and cytotoxic CD4+ T lymphocytes was observed, particularly in patients over 60 years of age [21]. The accumulation of cytotoxic CD4+ T lymphocytes in the elderly population of multiple sclerosis patients may represent a key pathophysiological mechanism, given their capacity to directly damage CNS cells and contribute to neurodegenerative processes.

The senescence-associated secretory phenotype (SASP) encompasses a set of functional changes in senescent cells, characterized by the development of a pro-inflammatory profile and increased secretion of cytokines, chemokines, and other inflammatory mediators [23]. In demyelinated lesions, increased cellular senescence was observed in microglial cells, correlating with reduced remyelination capacity in aged mice. Analysis of SASP revealed elevated levels of the chemokine C-C motif ligand 11 (CCL11), also known as eotaxin-1, in the lesions of older individuals, which was associated with impaired oligodendrocyte maturation [24]. These findings suggest that targeting SASP factors, such as eotaxin-1, particularly in elderly patients, may represent a potential therapeutic strategy to enhance remyelination in Multiple Sclerosis.

THE ROLE OF AGING IN THE NEURODEGENERATIVE PROCESSES OF MULTIPLE SCLEROSIS

Aging is a major risk factor for most neurodegenerative diseases and one of the key biological processes that modulate neurodegenerative mechanisms in multiple sclerosis. Mechanisms through which aging may contribute to neurodegeneration include genomic instability, telomere shortening, epigenetic alterations, impaired protein homeostasis, mitochondrial dysfunction, cellular senescence, dysregulated nutrient signaling, stem cell exhaustion, and altered intercellular communication [25],[26]. The chronic inflammatory process in multiple sclerosis, combined with impaired remyelination, contributes to axonal degeneration, progressive CNS atrophy, and worsening of the disease’s clinical manifestations [27].

Late-onset multiple sclerosis is characterized by a more frequent progressive phenotype, fewer inflammatory relapses, and a shorter time to disability [8],[28]. In patients whose disease begins at a younger age, aging has been shown to be associated with a decrease in inflammatory activity in the CNS, regardless of disease duration, which is clinically manifested by a reduced frequency of relapses [29]. In contrast, demyelination and neurodegenerative processes become more pronounced with advancing age [8],[30].

Older age at the time of the first clinical manifestation of multiple sclerosis is associated with an increased likelihood of developing PIRA, indicating a significant role of aging in shaping the course of the disease [31]. Recent research shows that disease progression can be detected even in the earliest stages of multiple sclerosis, with inflammatory and neurodegenerative mechanisms operating as part of a single pathophysiological continuum in which both relapse-associated worsening (RAW) and PIRA occur from the very beginning of the disease, while aging represents one of the key modulators of the clinical phenotype [11],[31].

Research in aged rats shows that during CNS aging there is increased degeneration of oligodendrocytes and their precursors, resulting in myelin loss and secondarily contributing to the development of axonal degeneration [32]. One of the most pronounced age-related changes in oligodendrocytes is the accumulation of DNA damage, which is largely driven by their high metabolic demands [33]. These processes reduce the capacity for remyelination, which in multiple sclerosis, particularly in older patients, further accelerates neurodegenerative progression and disability accumulation.

THE INFLUENCE OF AGING ON MICROGLIAL ACTIVATION AND FUNCTIONAL DYNAMICS IN MULTIPLE SCLEROSIS

Aging modulates microglial activation and abundance, particularly in the peri-plaque regions of patients with multiple sclerosis [34]. It affects both the structural and functional characteristics of microglia. Studies in animal models indicate that with aging, microglia acquire a chronically activated phenotype, accompanied by reduced phagocytic capacity [35],[36]. In addition, aging impairs their role in immune surveillance of the microenvironment, resulting in reduced dynamism and a loss of their branched morphological phenotype [37]. These age-related morphological and functional changes in microglia, including persistent low-level activation with concomitant phagocytic dysfunction, may represent a key mechanism underlying PIRA, contributing to axonal degeneration even in the absence of pronounced acute inflammation.

Physiological aging leads to iron accumulation in microglial cells. In patients with multiple sclerosis, demyelination releases iron from damaged oligodendrocytes and myelin, which is subsequently taken up by microglia and macrophages. As a result, iron accumulates in microglial cells, particularly at the edges of chronically active lesions. This iron deposition is associated with a proinflammatory microglial phenotype and increased synthesis of reactive oxygen species, contributing to chronic neuroinflammation and progressive neurodegeneration in elderly patients with multiple sclerosis [38].

AGING-ASSOCIATED CHANGES IN REPARATIVE MECHANISMS IN MULTIPLE SCLEROSIS

The pathophysiological mechanisms underlying PIRA are associated with compartmentalization of the inflammatory process within the CNS, reduced participation of peripheral lymphocytes, and disruption of reparative mechanisms [39]. The onset of a progressive disease course is associated with aging, resulting from reduced remyelination capacity [40]. The cumulative effect of the mechanisms described above, such as increased oligodendrocyte degeneration, oxidative stress, iron accumulation, and microglial dysfunction, significantly limits CNS remyelination capacity under aging conditions. Studies in mice have shown that aging reduces the proliferative and differentiative capacity of neural stem and progenitor cells, with epigenetic changes at promoter regions consequently regulating the genes responsible for these processes [41].

Aging induces structural and functional alterations of ionic glutamate receptors, particularly pronounced in N-methyl-D-aspartate receptors (NMDARs), which are expressed on both neurons and immune cells [42],[43]. Conversely, patients with multiple sclerosis exhibit a significant increase in glutamate levels [44]. Under conditions of elevated glutamate concentration and aging-altered NMDAR signaling, neuroprotective mechanisms may be weakened, increasing the risk of glutamate-mediated excitotoxicity. Using NMDAR antagonists in an animal model of multiple sclerosis, a more pronounced therapeutic effect was achieved in old compared to young individuals, both in terms of the clinical picture and in terms of parameters of oxidative stress and antioxidant protection of brain tissue [45].

It is of utmost importance to focus future research on developing therapeutic strategies aimed at partially restoring remyelination capacity in elderly patients with multiple sclerosis. Potential approaches include pharmacological modulation of the SASP profile and microglial activity to create a pro-regenerative microenvironment [24], administration of drugs that enhance mitochondrial function and reduce oxidative stress in oligodendrocytes and their precursors [46], use of molecules that promote proliferation and differentiation of neural stem and progenitor cells [47], as well as targeting glutamate signaling, including the use of NMDAR antagonists [45], in selected subgroups of elderly patients. Such approaches could help preserve the residual reparative potential of the CNS and slow the accumulation of disability, and their effectiveness and safety should be systematically evaluated in clinical studies that explicitly include elderly patients.

CONCLUSION

Over the past two decades, the number of elderly patients with multiple sclerosis has increased, including individuals whose disease began at a younger age (20– 40 years) as well as those with late-onset disease after 50 years of age. Aging induces significant changes in the immune and nervous systems, which interact with the autoimmune mechanisms of CNS damage in multiple sclerosis and contribute to the transformation of the clinical course into a progressive pattern. Over time, the pathophysiology of multiple sclerosis evolves from active inflammatory lesions to chronically active, slowly expanding lesions characterized by proinflammatory microglia. Understanding the effects of aging on the molecular and cellular mechanisms that initiate and sustain the disease is crucial for applying targeted therapies in elderly patients. This population should be included in clinical trials of new drugs, particularly those that modulate microglial activation, enhance mitochondrial function, promote neuroprotection and remyelination, or antagonize NMDARs.

  • Conflict of interest:
    None declared

Informations

March 2026

Pages 79-87
  • Keywords:
    aging, multiple sclerosis, immunosenescence, neurodegeneration
  • Received:
    29 January 2026
  • Revised:
    02 March 2026
  • Accepted:
    10 March 2026
  • Online first:
    25 March 2026
  • DOI:
  • Cite this article:
    Đuretić J. Aging as a modulator of multiple sclerosis pathophysiology. Serbian Journal of the Medical Chamber. 2026;7(1):79-87. doi: 10.5937/smclk7-64495
Corresponding author

Jasmina Đuretić
Department of Pathobiology, Faculty of Pharmacy, University of Belgrade
450 Vojvode Stepe Street, 11221 Belgrade, Serbia
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


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REFERENCES

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9. Gao H, Nepovimova E, Adam V, Heger Z, Valko M, Wu Q, et al. Age-associated changes in innate and adaptive immunity: role of the gut microbiota. Front Immunol. 2024 Sep 16;15:1421062. doi: 10.3389/fimmu.2024.1421062. [CROSSREF]

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11. Tur C, Carbonell-Mirabent P, Cobo-Calvo Á, Otero-Romero S, Arrambide G, Midaglia L, et al. Association of Early Progression Independent of Relapse Activity With Long-term Disability After a First Demyelinating Event in Multiple Sclerosis. JAMA Neurol. 2023 Feb 1;80(2):151-60. doi: 10.1001/jamaneurol.2022.4655. [CROSSREF]

12. Iaffaldano P, Portaccio E, Lucisano G, Simone M, Manni A, Guerra T, et al.; Italian Multiple Sclerosis Register. Multiple Sclerosis Progression and Relapse Activity in Children. JAMA Neurol. 2024 Jan 1;81(1):50-8. doi: 10.1001/jamaneurol.2023.4455. Erratum in: JAMA Neurol. 2024 Jan 1;81(1):88. doi: 10.1001/ jamaneurol.2023.5461. [CROSSREF]

13. Liu Z, Liang Q, Ren Y, Guo C, Ge X, Wang L, et al. Immunosenescence: molecular mechanisms and diseases. Signal Transduct Target Ther. 2023 May 13;8(1):200. doi: 10.1038/s41392-023-01451-2. [CROSSREF]

14. Thomas R, Wang W, Su DM. Contributions of Age-Related Thymic Involution to Immunosenescence and Inflammaging. Immun Ageing. 2020 Jan 20;17:2. doi: 10.1186/s12979-020-0173-8. [CROSSREF]

15. Amoriello R, Mariottini A, Ballerini C. Immunosenescence and Autoimmunity: Exploiting the T-Cell Receptor Repertoire to Investigate the Impact of Aging on Multiple Sclerosis. Front Immunol. 2021 Dec 1;12:799380. doi: 10.3389/fimmu.2021.799380. [CROSSREF]

16. Nikolich-Žugich J, Li G, Uhrlaub JL, Renkema KR, Smithey MJ. Age-related changes in CD8 T cell homeostasis and immunity to infection. Semin Immunol. 2012 Oct;24(5):356-64. doi: 10.1016/j.smim.2012.04.009. [CROSSREF]

17. Stojić-Vukanić Z, Pilipović I, Djikić J, Vujnović I, Nacka-Aleksić M, Bufan B, et al. Strain specificities in age-related changes in mechanisms promoting and controlling rat spinal cord damage in experimental autoimmune encephalomyelitis. Exp Gerontol. 2018 Jan;101:37-53. doi: 10.1016/j.exger.2017.11.002. [CROSSREF]

18. Churov AV, Mamashov KY, Novitskaia AV. Homeostasis and the functional roles of CD4+ Treg cells in aging. Immunol Lett. 2020 Oct;226:83-9. doi: 10.1016/j.imlet.2020.07.004. [CROSSREF]

19. Djikić J, Nacka-Aleksić M, Pilipović I, Kosec D, Arsenović-Ranin N, Stojić-Vukanić Z, et al. Age-related changes in spleen of Dark Agouti rats immunized for experimental autoimmune encephalomyelitis. J Neuroimmunol. 2015 Jan 15;278:123-35. doi: 10.1016/j.jneuroim.2014.12.014. [CROSSREF]

20. Wang W, Thomas R, Oh J, Su DM. Accumulation of pTreg cells is detrimental in late-onset (aged) mouse model of multiple sclerosis. Aging Cell. 2022 Jun;21(6):e13630. doi: 10.1111/acel.13630. [CROSSREF]

21. Zuroff L, Rezk A, Shinoda K, Espinoza DA, Elyahu Y, Zhang B, et al. Immune aging in multiple sclerosis is characterized by abnormal CD4 T cell activation and increased frequencies of cytotoxic CD4 T cells with advancing age. EBioMedicine. 2022 Aug;82:104179. doi: 10.1016/j.ebiom.2022.104179. [CROSSREF]

22. Eschborn M, Pawlitzki M, Wirth T, Nelke C, Pfeuffer S, Schulte-Mecklenbeck A, et al. Evaluation of Age-Dependent Immune Signatures in Patients With Multiple Sclerosis. Neurol Neuroimmunol Neuroinflamm. 2021 Oct 19;8(6):e1094. doi: 10.1212/NXI.0000000000001094. [CROSSREF]

23. Li X, Li C, Zhang W, Wang Y, Qian P, Huang H. Inflammation and aging: signaling pathways and intervention therapies. Signal Transduct Target Ther. 2023 Jun 8;8(1):239. doi: 10.1038/s41392-023-01502-8. [CROSSREF]

24. Gross PS, Durán-Laforet V, Ho LT, Melchor GS, Zia S, Manavi Z, et al. Senescent-like microglia limit remyelination through the senescence associated secretory phenotype. Nat Commun. 2025 Mar 7;16(1):2283. doi: 10.1038/ s41467-025-57632-w. [CROSSREF]

25. Hou Y, Dan X, Babbar M, Wei Y, Hasselbalch SG, Croteau DL, et al. Ageing as a risk factor for neurodegenerative disease. Nat Rev Neurol. 2019 Oct;15(10):565-81. doi: 10.1038/s41582-019-0244-7. [CROSSREF]

26. Wyss-Coray T. Ageing, neurodegeneration and brain rejuvenation. Nature. 2016 Nov 10;539(7628):180-6. doi: 10.1038/nature20411. [CROSSREF]

27. Mey GM, Mahajan KR, DeSilva TM. Neurodegeneration in multiple sclerosis. WIREs Mech Dis. 2023 Jan;15(1):e1583. doi: 10.1002/wsbm.1583. [CROSSREF]

28. Alroughani R, Akhtar S, Ahmed S, Behbehani R, Al-Hashel J. Is Time to Reach EDSS 6.0 Faster in Patients with Late-Onset versus Young-Onset Multiple Sclerosis? PLoS One. 2016 Nov 1;11(11):e0165846. doi: 10.1371/journal. pone.0165846. [CROSSREF]

29. Coerver EM, Kaçar S, Ciccarelli O, Sormani MP, Barkhof F, Arnold DL, et al. Aging is associated with reduced inflammatory disease activity independent of disease duration in relapsing multiple sclerosis trial populations. Mult Scler. 2024 Sep;30(10):1296-308. doi: 10.1177/13524585241272938. [CROSSREF]

30. Zuo M, Ramaglia V, Gommerman JL. Age-related changes in multiple sclerosis and experimental autoimmune encephalomyelitis. Semin Immunol. 2022 Jan;59:101631. doi: 10.1016/j.smim.2022.101631. [CROSSREF]

31. Portaccio E, Bellinvia A, Fonderico M, Pastò L, Razzolini L, Totaro R, et al. Progression is independent of relapse activity in early multiple sclerosis: a real-life cohort study. Brain. 2022 Aug 27;145(8):2796-805. doi: 10.1093/brain/ awac111. [CROSSREF]

32. Sugiyama I, Tanaka K, Akita M, Yoshida K, Kawase T, Asou H. Ultrastructural analysis of the paranodal junction of myelinated fibers in 31-month-oldrats. J Neurosci Res. 2002 Nov 1;70(3):309-17. doi: 10.1002/jnr.10386. [CROSSREF]

33. Tse KH, Herrup K. DNA damage in the oligodendrocyte lineage and its role in brain aging. Mech Ageing Dev. 2017 Jan;161(Pt A):37-50. doi: 10.1016/j. mad.2016.05.006. [CROSSREF]

34. Kessler W, Thomas C, Kuhlmann T. Microglia activation in periplaque white matter in multiple sclerosis depends on age and lesion type, but does not correlate with oligodendroglial loss. Acta Neuropathol. 2023 Dec;146(6):817- 28. doi: 10.1007/s00401-023-02645-2. [CROSSREF]

35. Thomas AL, Lehn MA, Janssen EM, Hildeman DA, Chougnet CA. Naturally-aged microglia exhibit phagocytic dysfunction accompanied by gene expression changes reflective of underlying neurologic disease. Sci Rep. 2022 Nov 14;12(1):19471. doi: 10.1038/s41598-022-21920-y. [CROSSREF]

36. Norden DM, Godbout JP. Review: microglia of the aged brain: primed to be activated and resistant to regulation. Neuropathol Appl Neurobiol. 2013 Feb;39(1):19-34. doi: 10.1111/j.1365-2990.2012.01306.x. [CROSSREF]

37. Damani MR, Zhao L, Fontainhas AM, Amaral J, Fariss RN, Wong WT. Age-related alterations in the dynamic behavior of microglia. Aging Cell. 2011 Apr;10(2):263-76. doi: 10.1111/j.1474-9726.2010.00660.x. [CROSSREF]

38. Gillen KM, Mubarak M, Nguyen TD, Pitt D. Significance and In Vivo Detection of Iron-Laden Microglia in White Matter Multiple Sclerosis Lesions. Front Immunol. 2018 Feb 19;9:255. doi: 10.3389/fimmu.2018.00255. [CROSSREF]

39. Calabrese M, Preziosa P, Scalfari A, Colato E, Marastoni D, Absinta M, et al. Determinants and Biomarkers of Progression Independent of Relapses in Multiple Sclerosis. Ann Neurol. 2024 Jul;96(1):1-20. doi: 10.1002/ana.26913. [CROSSREF]

40. Kuhlmann T, Moccia M, Coetzee T, Cohen JA, Correale J, Graves J, et al; International Advisory Committee on Clinical Trials in Multiple Sclerosis. Multiple sclerosis progression: time for a new mechanism-driven framework. Lancet Neurol. 2023 Jan;22(1):78-88. doi: 10.1016/S1474-4422(22)00289-7. [CROSSREF]

41. Li M, Guo H, Carey M, Huang C. Transcriptional and epigenetic dysregulation impairs generation of proliferative neural stem and progenitor cells during brain aging. Nat Aging. 2024 Jan;4(1):62-79. doi: 10.1038/s43587-023- 00549-0. [CROSSREF]

42. Magnusson KR. Aging of the NMDA receptor: from a mouse’s point of view. Future Neurol. 2012 Sep;7(5):627-37. doi: 10.2217/fnl.12.54. [CROSSREF]

43. Boldyrev AA, Bryushkova EA, Vladychenskaya EA. NMDA receptors in immune competent cells. Biochemistry (Mosc). 2012 Feb;77(2):128-34. doi: 10.1134/S0006297912020022. [CROSSREF]

44. Al Gawwam G, Sharquie IK. Serum Glutamate Is a Predictor for the Diagnosis of Multiple Sclerosis. ScientificWorldJournal. 2017;2017:9320802. doi: 10.1155/2017/9320802. [CROSSREF]

45. Bufan B, Ćuruvija I, Blagojević V, Grujić-Milanović J, Prijić I, Radosavljević T, et al. NMDA Receptor Antagonist Memantine Ameliorates Experimental Autoimmune Encephalomyelitis in Aged Rats. Biomedicines. 2024 Mar 23;12(4):717. doi: 10.3390/biomedicines12040717. [CROSSREF]

46. Campbell G, Licht-Mayer S, Mahad D. Targeting mitochondria to protect axons in progressive MS. Neurosci Lett. 2019 Sep 25;710:134258. doi: 10.1016/j. neulet.2019.05.012. [CROSSREF]

47. Harlow DE, Honce JM, Miravalle AA. Remyelination Therapy in Multiple Sclerosis. Front Neurol. 2015 Dec 10;6:257. doi: 10.3389/fneur.2015.00257. [CROSSREF]

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2. Cunill V, Massot M, Clemente A, Calles C, Andreu V, Núñez V, et al. Relapsing-Remitting Multiple Sclerosis Is Characterized by a T Follicular Cell Pro-Inflammatory Shift, Reverted by Dimethyl Fumarate Treatment. Front Immunol. 2018 May 29;9:1097. doi: 10.3389/fimmu.2018.01097. [CROSSREF]

3. Scalfari A, Neuhaus A, Daumer M, Ebers GC, Muraro PA. Age and disability accumulation in multiple sclerosis. Neurology. 2011 Sep 27;77(13):1246-52. doi: 10.1212/WNL.0b013e318230a17d. [CROSSREF]

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5. Prosperini L, Lucchini M, Ruggieri S, Tortorella C, Haggiag S, Mirabella M, et al. Shift of multiple sclerosis onset towards older age. J Neurol Neurosurg Psychiatry. 2022 Apr 27:jnnp-2022-329049. doi: 10.1136/jnnp-2022-329049. [CROSSREF]

6. Solaro C, Ponzio M, Moran E, Tanganelli P, Pizio R, Ribizzi G, et al. The changing face of multiple sclerosis: Prevalence and incidence in an aging population. Mult Scler. 2015 Sep;21(10):1244-50. doi: 10.1177/1352458514561904. [CROSSREF]

7. Capasso N, Virgilio E, Covelli A, Giovannini B, Foschi M, Montini F, et al. Aging in multiple sclerosis: from childhood to old age, etiopathogenesis, and unmet needs: a narrative review. Front Neurol. 2023 Jun 2;14:1207617. doi: 10.3389/fneur.2023.1207617. [CROSSREF]

8. Filippi M, Preziosa P, Barkhof F, Ciccarelli O, Cossarizza A, De Stefano N,et al. The ageing central nervous system in multiple sclerosis: the imaging perspective. Brain. 2024 Nov 4;147(11):3665-80. doi: 10.1093/brain/awae251. [CROSSREF]

9. Gao H, Nepovimova E, Adam V, Heger Z, Valko M, Wu Q, et al. Age-associated changes in innate and adaptive immunity: role of the gut microbiota. Front Immunol. 2024 Sep 16;15:1421062. doi: 10.3389/fimmu.2024.1421062. [CROSSREF]

10. Lewis ED, Wu D, Meydani SN. Age-associated alterations in immune function and inflammation. Prog Neuropsychopharmacol Biol Psychiatry. 2022 Aug 30;118:110576. doi: 10.1016/j.pnpbp.2022.110576. [CROSSREF]

11. Tur C, Carbonell-Mirabent P, Cobo-Calvo Á, Otero-Romero S, Arrambide G, Midaglia L, et al. Association of Early Progression Independent of Relapse Activity With Long-term Disability After a First Demyelinating Event in Multiple Sclerosis. JAMA Neurol. 2023 Feb 1;80(2):151-60. doi: 10.1001/jamaneurol.2022.4655. [CROSSREF]

12. Iaffaldano P, Portaccio E, Lucisano G, Simone M, Manni A, Guerra T, et al.; Italian Multiple Sclerosis Register. Multiple Sclerosis Progression and Relapse Activity in Children. JAMA Neurol. 2024 Jan 1;81(1):50-8. doi: 10.1001/jamaneurol.2023.4455. Erratum in: JAMA Neurol. 2024 Jan 1;81(1):88. doi: 10.1001/ jamaneurol.2023.5461. [CROSSREF]

13. Liu Z, Liang Q, Ren Y, Guo C, Ge X, Wang L, et al. Immunosenescence: molecular mechanisms and diseases. Signal Transduct Target Ther. 2023 May 13;8(1):200. doi: 10.1038/s41392-023-01451-2. [CROSSREF]

14. Thomas R, Wang W, Su DM. Contributions of Age-Related Thymic Involution to Immunosenescence and Inflammaging. Immun Ageing. 2020 Jan 20;17:2. doi: 10.1186/s12979-020-0173-8. [CROSSREF]

15. Amoriello R, Mariottini A, Ballerini C. Immunosenescence and Autoimmunity: Exploiting the T-Cell Receptor Repertoire to Investigate the Impact of Aging on Multiple Sclerosis. Front Immunol. 2021 Dec 1;12:799380. doi: 10.3389/fimmu.2021.799380. [CROSSREF]

16. Nikolich-Žugich J, Li G, Uhrlaub JL, Renkema KR, Smithey MJ. Age-related changes in CD8 T cell homeostasis and immunity to infection. Semin Immunol. 2012 Oct;24(5):356-64. doi: 10.1016/j.smim.2012.04.009. [CROSSREF]

17. Stojić-Vukanić Z, Pilipović I, Djikić J, Vujnović I, Nacka-Aleksić M, Bufan B, et al. Strain specificities in age-related changes in mechanisms promoting and controlling rat spinal cord damage in experimental autoimmune encephalomyelitis. Exp Gerontol. 2018 Jan;101:37-53. doi: 10.1016/j.exger.2017.11.002. [CROSSREF]

18. Churov AV, Mamashov KY, Novitskaia AV. Homeostasis and the functional roles of CD4+ Treg cells in aging. Immunol Lett. 2020 Oct;226:83-9. doi: 10.1016/j.imlet.2020.07.004. [CROSSREF]

19. Djikić J, Nacka-Aleksić M, Pilipović I, Kosec D, Arsenović-Ranin N, Stojić-Vukanić Z, et al. Age-related changes in spleen of Dark Agouti rats immunized for experimental autoimmune encephalomyelitis. J Neuroimmunol. 2015 Jan 15;278:123-35. doi: 10.1016/j.jneuroim.2014.12.014. [CROSSREF]

20. Wang W, Thomas R, Oh J, Su DM. Accumulation of pTreg cells is detrimental in late-onset (aged) mouse model of multiple sclerosis. Aging Cell. 2022 Jun;21(6):e13630. doi: 10.1111/acel.13630. [CROSSREF]

21. Zuroff L, Rezk A, Shinoda K, Espinoza DA, Elyahu Y, Zhang B, et al. Immune aging in multiple sclerosis is characterized by abnormal CD4 T cell activation and increased frequencies of cytotoxic CD4 T cells with advancing age. EBioMedicine. 2022 Aug;82:104179. doi: 10.1016/j.ebiom.2022.104179. [CROSSREF]

22. Eschborn M, Pawlitzki M, Wirth T, Nelke C, Pfeuffer S, Schulte-Mecklenbeck A, et al. Evaluation of Age-Dependent Immune Signatures in Patients With Multiple Sclerosis. Neurol Neuroimmunol Neuroinflamm. 2021 Oct 19;8(6):e1094. doi: 10.1212/NXI.0000000000001094. [CROSSREF]

23. Li X, Li C, Zhang W, Wang Y, Qian P, Huang H. Inflammation and aging: signaling pathways and intervention therapies. Signal Transduct Target Ther. 2023 Jun 8;8(1):239. doi: 10.1038/s41392-023-01502-8. [CROSSREF]

24. Gross PS, Durán-Laforet V, Ho LT, Melchor GS, Zia S, Manavi Z, et al. Senescent-like microglia limit remyelination through the senescence associated secretory phenotype. Nat Commun. 2025 Mar 7;16(1):2283. doi: 10.1038/ s41467-025-57632-w. [CROSSREF]

25. Hou Y, Dan X, Babbar M, Wei Y, Hasselbalch SG, Croteau DL, et al. Ageing as a risk factor for neurodegenerative disease. Nat Rev Neurol. 2019 Oct;15(10):565-81. doi: 10.1038/s41582-019-0244-7. [CROSSREF]

26. Wyss-Coray T. Ageing, neurodegeneration and brain rejuvenation. Nature. 2016 Nov 10;539(7628):180-6. doi: 10.1038/nature20411. [CROSSREF]

27. Mey GM, Mahajan KR, DeSilva TM. Neurodegeneration in multiple sclerosis. WIREs Mech Dis. 2023 Jan;15(1):e1583. doi: 10.1002/wsbm.1583. [CROSSREF]

28. Alroughani R, Akhtar S, Ahmed S, Behbehani R, Al-Hashel J. Is Time to Reach EDSS 6.0 Faster in Patients with Late-Onset versus Young-Onset Multiple Sclerosis? PLoS One. 2016 Nov 1;11(11):e0165846. doi: 10.1371/journal. pone.0165846. [CROSSREF]

29. Coerver EM, Kaçar S, Ciccarelli O, Sormani MP, Barkhof F, Arnold DL, et al. Aging is associated with reduced inflammatory disease activity independent of disease duration in relapsing multiple sclerosis trial populations. Mult Scler. 2024 Sep;30(10):1296-308. doi: 10.1177/13524585241272938. [CROSSREF]

30. Zuo M, Ramaglia V, Gommerman JL. Age-related changes in multiple sclerosis and experimental autoimmune encephalomyelitis. Semin Immunol. 2022 Jan;59:101631. doi: 10.1016/j.smim.2022.101631. [CROSSREF]

31. Portaccio E, Bellinvia A, Fonderico M, Pastò L, Razzolini L, Totaro R, et al. Progression is independent of relapse activity in early multiple sclerosis: a real-life cohort study. Brain. 2022 Aug 27;145(8):2796-805. doi: 10.1093/brain/ awac111. [CROSSREF]

32. Sugiyama I, Tanaka K, Akita M, Yoshida K, Kawase T, Asou H. Ultrastructural analysis of the paranodal junction of myelinated fibers in 31-month-oldrats. J Neurosci Res. 2002 Nov 1;70(3):309-17. doi: 10.1002/jnr.10386. [CROSSREF]

33. Tse KH, Herrup K. DNA damage in the oligodendrocyte lineage and its role in brain aging. Mech Ageing Dev. 2017 Jan;161(Pt A):37-50. doi: 10.1016/j. mad.2016.05.006. [CROSSREF]

34. Kessler W, Thomas C, Kuhlmann T. Microglia activation in periplaque white matter in multiple sclerosis depends on age and lesion type, but does not correlate with oligodendroglial loss. Acta Neuropathol. 2023 Dec;146(6):817- 28. doi: 10.1007/s00401-023-02645-2. [CROSSREF]

35. Thomas AL, Lehn MA, Janssen EM, Hildeman DA, Chougnet CA. Naturally-aged microglia exhibit phagocytic dysfunction accompanied by gene expression changes reflective of underlying neurologic disease. Sci Rep. 2022 Nov 14;12(1):19471. doi: 10.1038/s41598-022-21920-y. [CROSSREF]

36. Norden DM, Godbout JP. Review: microglia of the aged brain: primed to be activated and resistant to regulation. Neuropathol Appl Neurobiol. 2013 Feb;39(1):19-34. doi: 10.1111/j.1365-2990.2012.01306.x. [CROSSREF]

37. Damani MR, Zhao L, Fontainhas AM, Amaral J, Fariss RN, Wong WT. Age-related alterations in the dynamic behavior of microglia. Aging Cell. 2011 Apr;10(2):263-76. doi: 10.1111/j.1474-9726.2010.00660.x. [CROSSREF]

38. Gillen KM, Mubarak M, Nguyen TD, Pitt D. Significance and In Vivo Detection of Iron-Laden Microglia in White Matter Multiple Sclerosis Lesions. Front Immunol. 2018 Feb 19;9:255. doi: 10.3389/fimmu.2018.00255. [CROSSREF]

39. Calabrese M, Preziosa P, Scalfari A, Colato E, Marastoni D, Absinta M, et al. Determinants and Biomarkers of Progression Independent of Relapses in Multiple Sclerosis. Ann Neurol. 2024 Jul;96(1):1-20. doi: 10.1002/ana.26913. [CROSSREF]

40. Kuhlmann T, Moccia M, Coetzee T, Cohen JA, Correale J, Graves J, et al; International Advisory Committee on Clinical Trials in Multiple Sclerosis. Multiple sclerosis progression: time for a new mechanism-driven framework. Lancet Neurol. 2023 Jan;22(1):78-88. doi: 10.1016/S1474-4422(22)00289-7. [CROSSREF]

41. Li M, Guo H, Carey M, Huang C. Transcriptional and epigenetic dysregulation impairs generation of proliferative neural stem and progenitor cells during brain aging. Nat Aging. 2024 Jan;4(1):62-79. doi: 10.1038/s43587-023- 00549-0. [CROSSREF]

42. Magnusson KR. Aging of the NMDA receptor: from a mouse’s point of view. Future Neurol. 2012 Sep;7(5):627-37. doi: 10.2217/fnl.12.54. [CROSSREF]

43. Boldyrev AA, Bryushkova EA, Vladychenskaya EA. NMDA receptors in immune competent cells. Biochemistry (Mosc). 2012 Feb;77(2):128-34. doi: 10.1134/S0006297912020022. [CROSSREF]

44. Al Gawwam G, Sharquie IK. Serum Glutamate Is a Predictor for the Diagnosis of Multiple Sclerosis. ScientificWorldJournal. 2017;2017:9320802. doi: 10.1155/2017/9320802. [CROSSREF]

45. Bufan B, Ćuruvija I, Blagojević V, Grujić-Milanović J, Prijić I, Radosavljević T, et al. NMDA Receptor Antagonist Memantine Ameliorates Experimental Autoimmune Encephalomyelitis in Aged Rats. Biomedicines. 2024 Mar 23;12(4):717. doi: 10.3390/biomedicines12040717. [CROSSREF]

46. Campbell G, Licht-Mayer S, Mahad D. Targeting mitochondria to protect axons in progressive MS. Neurosci Lett. 2019 Sep 25;710:134258. doi: 10.1016/j. neulet.2019.05.012. [CROSSREF]

47. Harlow DE, Honce JM, Miravalle AA. Remyelination Therapy in Multiple Sclerosis. Front Neurol. 2015 Dec 10;6:257. doi: 10.3389/fneur.2015.00257. [CROSSREF]


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