Skip to main content

The contribution of tumor necrosis factor to multiple sclerosis: a possible role in progression independent of relapse?

Abstract

Tumor necrosis factor (TNF) is a pleiotropic cytokine regulating many physiological and pathological immune-mediated processes. Specifically, it has been recognized as an essential pro-inflammatory cytokine implicated in multiple sclerosis (MS) pathogenesis and progression. MS is a chronic immune-mediated disease of the central nervous system, characterized by multifocal acute and chronic inflammatory demyelination in white and grey matter, along with neuroaxonal loss. A recent concept in the field of MS research is disability resulting from Progression Independent of Relapse Activity (PIRA). PIRA recognizes that disability accumulation since the early phase of the disease can occur independently of relapse activity overcoming the traditional dualistic view of MS as either a relapsing-inflammatory or a progressive-neurodegenerative disease. Several studies have demonstrated an upregulation in TNF expression in both acute and chronic active MS brain lesions. Additionally, elevated TNF levels have been observed in the serum and cerebrospinal fluid of MS patients. TNF appears to play a significant role in maintaining chronic intrathecal inflammation, promoting axonal damage neurodegeneration, and consequently contributing to disease progression and disability accumulation. In summary, this review highlights the current understanding of TNF and its receptors in MS progression, specifically focusing on the relatively unexplored PIRA condition. Further research in this area holds promise for potential therapeutic interventions targeting TNF to mitigate disability in MS patients.

Introduction

Multiple sclerosis (MS) is a chronic immune-mediated and neurodegenerative disease of the central nervous system (CNS) affecting millions of people worldwide [1] and it is the most common cause of non-traumatic neurological disability in young adults [2].

MS is a complex multifactorial disease caused by complex gene–environment interactions and characterized by multiple pathological hallmarks, ranging from immune dysregulation and neuroinflammation to neurodegenerative mechanisms [3].

Several molecular changes, including increases in cytokines, chemokines, nitric oxide, reactive oxygen species, glutamate, and free radicals, affect the pathogenesis and the course of MS [4].

The clinical course of MS is highly variable, heterogeneous, and unpredictable at the individual level. Generally, it is characterized by transient and recurrent episodes of focal acute CNS inflammation early on, with complete or partial resolution (relapsing–remitting MS–RRMS) and, over time, by a prominent process of neurodegeneration, resulting in a late, slow, steady, progressive accumulation of physical disability and cognitive impairment (secondary progressive MS–SPMS) [5]. On the other hand, a gradual and continuous neurological decline from the disease’s onset characterizes the MS subtype known as primary progressive MS (PPMS) [5,6,7].

Beyond this traditional phenotypic categorization, it is now clear that MS progresses along a continuum from RRMS to progressive MS (PrMS), with distinct levels of neurologic reserve explaining phenotypic differences [8].

This emerging view of MS as a single-stage disorder in which all patients exhibit a progressive course since disease onset, which can overlap with relapses [6, 8], is supported by the new concept of progression independent of relapse activity (PIRA) [9]. The term PIRA, proposed by Kappos et al., refers to the progressive clinical deterioration occurring in many RRMS patients without signs of inflammatory activity [9]. This notion aligns with several previous observational studies showing that disability accumulation is largely independent of superimposed focal inflammation, referring to additional inflammatory lesions, and is undetectable by conventional clinical-radiological parameters [10,11,12,13].

Although the frequency of PIRA has been reported within the first 5 years following the first MS-related clinical attack, its identification in clinical practice remains unclear due to the lack of standardized definitions (such as a time window after the last relapse) and/or measures to detect it (such as based on the expanded disability status scale—EDSS—score or an increase in composite measures) [14].

The mechanisms driving PIRA have yet to be fully elucidated but are undoubtedly associated with smouldering inflammatory and neurodegenerative processes. In a prospective, large sample size study, Cagol et al. showed that RRMS patients with PIRA (defined as a 6-month confirmed disability progression with no relapse during the 90 days before and the 180 days after the initial increase in the EDSS score) exhibit more pronounced diffuse cerebral cortical volume loss [15]. This finding aligns with several studies demonstrating that grey matter (GM) atrophy is predictive of long-term physical and cognitive disability [16] and conversion to PrMS [17].

Cerebral GM damage, which manifests as both focal cortical lesion(s) and diffuse cortical and deep GM atrophy, provides one of the best clinical correlations with irreversible disability accumulation [16, 18] and it is topographically associated with aberrant tertiary B-cell-enriched lymphoid structures affecting the cerebral meninges [19]. The extent of meningeal immune infiltration is correlated with the degree of subpial GM demyelination, microglial activation, and axonal loss [19,20,21,22].

MS patients with a progressive and severe course of the disease also display chronic active lesions (CALs), a subset of white matter (WM) lesions characterized by an inactive core surrounded by a “rim” of activated microglia [23,24,25]. CALs are associated with nearby persistent demyelination and axonal loss, even in the absence of blood‒brain barrier (BBB) damage [23,24,25].

Molecular-neuropathological studies on progressive MS patients supported the hypothesis that soluble factors (chemokines and cytokines) produced by meningeal tertiary lymphoid structures and/or circulating immune cells may diffuse throughout the cerebrospinal fluid (CSF) into the cortex, inducing brain damage either directly or indirectly through microglial activation [26]. In this regard, Kosa and colleagues found that CSF biomarkers associated with immune-related pathways correlate with clinical and imaging MS severity outcomes and predict future disability [27].

All these findings suggest that chronic inflammation in the CNS continuously disturbs neuroaxonal homeostasis, leading to prominent neurodegeneration, even outside of MS relapses, especially at the progressive stage [28]. This confirmed that compartmentalized inflammation (involving the CSF, meninges, and parenchyma) is a major mechanism driving progressive multiple sclerosis.

Among the different cytokines found to increase in the CSF of MS patients [26], tumor necrosis factor (TNF) represents one of the main proinflammatory cytokines correlated with the degree of disability in patients with progressive MS [29].

Selmaj et al. also provided significant evidence that an increase in TNF occurred locally within the CNS of MS patients, specifically in acute and chronic active MS brain lesions [30]. This further suggests that the combination of inflammation, demyelination and neurodegeneration is a highly specific process in MS, as supported in a study by Fischer et al. [31].

TNF exerts its potent proinflammatory activity by activating two specific TNF receptors (TNFRs): TNF receptor type-1 (TNFR1) and type-2 (TNFR2) signaling [32, 33]. In addition to this inflammatory action, TNF has excitotoxic [34] and necro-apoptotic effects on oligodendrocytes [35, 36] and neurons mainly through TNFR1 activation [37].

A post-mortem study revealed that an imbalance of TNF receptor type-1 (TNFR1) and type-2 (TNFR2) signaling plays a role in determining the severity of MS [38], demonstrating a strong correlation between compartmentalized inflammation and the high expression of genes involved in the TNFR1 signaling cascade [38].

This comprehensive review explores the potential impact of TNF pathway alterations on MS progression and the potential of selective targeting and detection of TNF-TNFRs, specifically focused on the PIRA condition, on which many questions persist regarding its frequency, pathological determinants, treatment, and implications [39]. Therefore, understanding the role of TNF signaling in PIRA could shed light on the neurodegenerative mechanisms that drive the progression of RRMS from the earliest stages of the disease [39].

TNF biology, cellular production and signaling pathways

The master proinflammatory cytokine TNF has been shown to have a broad spectrum of cellular effects, including inflammatory response, cellular activation, and programmed cell death [40]. TNF belongs to the TNF superfamily, which includes 19 ligands produced primarily by monocytes/macrophages but also by T and B lymphocytes, smooth muscle cells, adipocytes, osteoclasts, and fibroblasts, although in smaller quantities [40, 41].

TNF is expressed initially as a transmembrane protein (mTNF, 26 kDa 233-amino-acid), which requires proteolytic cleavage by the TNF converting enzyme (TACE) to release soluble TNF (sTNF, 17 kDa 157-amino-acid). mTNF and sTNF are produced by a wide range of peripheral and central immune cells, such as activated macrophages, effector CD4 + and CD8 + T cells, B lymphocytes and microglia, as well as neurons, oligodendrocytes, and astrocytes [42].

Both mTNF and sTNF are biologically active and exert their effects by modulating a complex signaling pathway with wide-ranging downstream responses through two distinct surface receptors belonging to the TNFRs-superfamily (comprising 29 receptors): the TNF receptor-superfamily member 1A (TNFRSF1A-TNFR1; p55/60; CD120a) and TNF receptor-superfamily member 1B (TNFRSF1B-TNFR2; p75/80; CD120b) [40,41,42].

The two receptors differ significantly in structure, binding affinity, localization, function and activation of signaling pathways [43, 44].

TNFR1, which is expressed on the membrane of all cell types except for erythrocytes, shows a high affinity for sTNF, promoting both necrosis and apoptotic pathways as well as proinflammatory signaling [45] through its death domain (DD), which, when activated by TNF binding, recruits the TNFR1-associated death domain (TRADD). TRADD can in turn recruit Fas-associated death domain (FADD) and receptor-interacting serine/threonine-protein kinase 1 (RIPK1), which can either lead to necroptosis through RIPK3 and mixed lineage kinase domain-like pseudokinase (MLKL) activation or apoptosis through caspase 8 and caspase 3 recruitment [46, 47]. In contrast, proinflammatory signaling is mediated by TNFR-associated factor 2 (TRAF2) activation of mitogen-activated protein kinases (MAPKs), such as c-Jun-N-terminal kinase (JNK), extracellular signal-regulated kinase (ERK), and the transcription factor nuclear factor-κB (NFκB) [46].

TNFR2, which is expressed only in a few cell types (neurons, oligodendrocytes, microglia, and T lymphocytes), mediates local homeostatic effects, such as cell survival, tissue regeneration and inflammation, by preferentially binding to mTNF [48, 49]. Unlike TNFR1, TNFR2 does not have a death domain. Nevertheless, a recent study has shown that under some circumstances, TNFR2 signaling also has pro-apoptotic effects by amplifying TNFR1-mediated stimulation of apoptosis or cooperating in the binding of TNF to TNFR1 [42, 50]. However, the mechanism of TNFR2-mediated cell death is still unclear, and homeostasis and cell survival remain the primary functions exerted by TNFR2-mediated signaling through TRAF (1/2) activation of MAPKs (JNK and ERK), protein kinase B (Akt), and NFκB [46].

Therefore, albeit in different ways, both TNFR1 and TNFR2 signaling may lead to NF-κB and MAPK activation, increasing the expression of inflammatory genes encoding chemokines and cytokines (including TNF itself) [43, 44] and inducing antiapoptotic transcriptional programs that promote cell survival, cell proliferation and cell differentiation [51, 52].

This duality of TNFR signaling, which can induce cell survival and cell death, depends on the cellular environment, the relative surface levels of TNFR1 and TNFR2, and their cellular activation status (Fig. 1). However, the effects of altering the TNFR1/TNFR2 balance under normal and altered physiological conditions remain unclear [53].

Fig. 1
figure 1

TNF signaling. TNF signaling is mediated by two isoforms (mTNF and sTNF), which exert their effects by modulating a complex signaling pathway through two distinct surface TNF receptors: TNFR1 and TNFR2. TNFR1 shows a high affinity for sTNF, which once bound, recruits TRADD. TRADD binds to FADD and RIPK1, leading to necroptosis through RIPK3 and MLKL activation, or apoptosis through caspase 8 and caspase 3 activation. On the other hand, mTNF interacts with TNFR2, inducing inflammation and homeostasis through TRAF1/2 activation of JNK, ERK MAPKs, Akt and/ or NFκB

Potential pathological implications of TNF-TNFRs impairment in MS and EAE

Several studies on human and experimental MS have demonstrated the involvement of TNF in various pathological hallmarks of MS, including neuroinflammation, neurodegeneration and demyelination.

The role of TNF in neuroinflammation associated with MS

TNF plays a crucial role in several immune-mediated conditions, including rheumatoid arthritis [54], systemic lupus erythematosus [55] and Crohn’s disease [56]. As a potent mediator of inflammation, principally via TNFR1 signaling, TNF is considered one of the major cytokines involved in the pathogenesis of MS [32, 33].

A relevant action of TNF is to activate T lymphocytes, enhancing their proliferation and recruitment and increasing proinflammatory cytokine production in the CNS by inducing the activation of NF-κB signaling pathways [57]. TNF-dependent T-cell activation contributes to blood‒brain barrier (BBB) damage via secondary meningeal mast cell activation and therefore promotes further inflammatory cell influx with consequent myelin and neuronal damage [58, 59].

Not surprisingly, elevated TNF production is found in MS patients [30, 60] and in experimental autoimmune encephalomyelitis (EAE), the most commonly used murine model of MS [60].

High TNF levels are found in active demyelinating lesions [29] and in the serum and CSF of MS patients [61,62,63], in correlation with the increase in the degree of disease severity [63,64,65,66]. In EAE mice, TNF mRNA expression is upregulated in the CNS in parallel with disease progression, and its exogenous administration increases EAE severity [60, 67] since it is involved in immune cell (macrophage and T cell) activation and infiltration into the CNS [66].

The use of EAE transgenic mice for TNF and TNFRs has significantly contributed to understanding the pathological role of TNF in MS [49].

Compared with wild-type (WT) EAE mice, TNF-gene knockout (KO) EAE mice exhibit a milder disease course due to reduced leukocyte intrathecal trafficking and BBB permeability [68]. This evidence suggests that TNF signaling alterations are involved in the (early) pathological MS mechanisms that occur in the CNS [68].

In addition to cytokines, several studies have investigated the role of TNFRs in MS pathology. Specifically, compared with WT EAE mice, TNFR1 KO EAE mice showed a reduction in immunopathological signs and symptoms of the disease, whereas TNFR2 KO EAE mice showed more severe disease symptoms, enhanced T-cell infiltration in the CNS and diffuse demyelination [69].

Intriguingly, TNFR2 has recently been demonstrated to be crucial in regulating T-cell biology [69]. Specifically, it is known to be expressed by regulatory T cells (Tregs) and is involved in their proliferation and expansion [70]. Tregs are a specialized subpopulation of T cells that act to suppress immune response, inhibiting T cell proliferation and cytokine production [71], Tregs are essential for maintaining immune homeostasis and preventing autoimmunity [67,68,69,70,71,72,73,74]. Not surprisingly, impaired functional suppression of Tregs in response to autoreactive T cells is typically reported in MS [75]. In line with this, a recent study on Treg-restricted TNFR2-deficient mice with induced EAE revealed that these mice developed an aggressive disease, indicating the critical protective role of TNFR2 signaling [76]. However, the significance of intrinsic TNFR2 signaling in Treg cells in vivo remains incompletely defined [76].

These findings support the critical role of TNFR1 signaling in the induction of a proinflammatory environment in the CNS [68]. In contrast, TNFR2 appears to be involved in neuroprotection and repair processes [68].

The role of TNF in neurodegeneration, demyelination and remyelination associated with MS

In addition to immune cell activation and infiltration, TNF signaling engages in neurodegenerative processes. TNF promotes neuronal excitotoxicity and oligodendrocyte death, acting directly on neurons and glial cells through TNFRs, with further TNF release [46, 77].

An elegant study by Centonze et al. showed that increased concentrations of TNF released by activated microglia induce changes in the expression and physiological properties of glutamate AMPA (α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid) receptors (AMPRs) and NMDA (N-methyl-D-aspartate) receptors (NMDARs) in EAE mice [78]. Specifically, TNF acting on neuronal TNFR1 receptors causes excitotoxicity by increasing the surface expression of AMPARs and the activation of NMDARs, prolonging the duration of the glutamate postsynaptic response [78].

In addition to excitotoxicity, TNF-TNFR1 signaling is involved in triggering oligodendrocyte apoptosis [35]. Consistent with this, TNF-overexpressing transgenic mice developed spontaneous demyelinating lesions like those observed in MS [35, 79, 80]. On the contrary, TNF through TNFR2, facilitates remyelination by promoting oligodendrocyte differentiation in EAE [81]. Furthermore, TNFR2-KO mice develop more severe EAE motor disease than WT mice [81,82,83]. In TNFR2 conditional KO EAE mice, a novel transgenic mouse with selective TNFR2 ablation in oligodendrocytes, altered TNFR2 signaling results in impaired remyelination [83].

These findings suggest that TNF could exhibit a bimodal effect, depending on the receptor it binds to, thereby triggering distinct signaling pathways. In MS, the TNFR1 signaling cascade plays a harmful role, whereas TNF acting via TNFR2 exerts a protective effect, attenuating the disease’s aggressive course. Enhancing TNFR1 and weakening TNFR2 signaling, the TNF contributes to MS pathogenesis and progression, leading to inflammatory demyelination, remyelination failure, and neuronal functional damage, including synaptic impairment.

Increased intrathecal TNF expression and impaired TNF-TNFRs signaling in association with meningeal inflammation in MS

Increased levels of proinflammatory cytokines and cytotoxic mediators are found in the CSF of MS patients [26]; specifically, CSF levels of TNF are correlated with the degree of disability in patients with PrMS [26, 29, 84, 85] but are not detected in patients with other neurodegenerative diseases [30]. This increase is determined by immune cell infiltration into the CNS; in particular, lymphocytes and macrophages enter the brain through the perivascular space and meninges, where they can release cytokines and chemokines that trigger glial cells and neurons to produce additional inflammatory mediators, such as IL-1β, TNF, and IFN-ɣ [86]. Mounting intrathecal neuroinflammation induces a local and chronic immune response that alters synaptic transmission and neuroaxonal homeostasis [20], leading to an increasingly inflammatory environment in the CSF, which bathes the cortical layers [26, 84]. In this regard, a strong correlation was found between CSF/meningeal inflammation and the degree of cortical damage, microglial activation, and axonal loss [20, 26, 84]. Chronic inflammation causes GM damage in MS from the earliest stages of the disease. This leads to disability accumulation independent of acute inflammation due to the decreased capacity of the compensatory mechanisms, including neuroplasticity, remyelination, redistribution of sodium channels along axons to maintain nerve conduction and expression of neurotrophic factors to support neuron survival and repair, as well as immune modulation [20, 28, 87,88,89]. Early cortical GM damage is indeed related to a more severe and rapid disease course in terms of disability progression and cognitive impairment [28].

In this regard, it has been demonstrated that neuroinflammation increases with MS progression, identifying specific inflammatory pathways correlated with MS progression, which include both the innate and adaptive immune pathways of T helper (Th) 17 (IL17, GM-CSF and IL6), Th1 (IFNγ and TNF) and Th2 (IL13 and IL4) phenotypes [27]. Moreover, Magliozzi et al. showed that meningeal inflammation specifically alters the balance between TNFR1 pro-cell death and TNFR2 pro-cell survival signaling, causing more severe disease manifestations from the early stages [38]. In addition, this study not only confirmed elevated TNF levels in the CSF of MS patients at the time of diagnosis but also revealed greater TNFR1 gene overexpression in MS patients, especially in the cortical GM tissues of progressive disease patients [38]. These results are in line with a recent study by Picon and colleagues that provides substantial evidence for TNF-mediated activation of necroptotic signaling via TNFR1 in cortical neurons of progressive MS patients [37]. In fact, the study demonstrated increased expression of multiple steps in the TNF-TNFR1 signaling pathway leading to necroptosis, including the key proteins TNFR1, FADD, RIPK1, RIPK3 and MLKL [36].

All these results support the hypothesis that neurodegeneration in MS is mainly driven by chronic inflammation in the CNS, with a preponderant involvement of activated TNF–TNFR1 signaling.

Evidence for TNF involvement in MS lesion formation

Degenerative processes include demyelination, axonal injury, and neuron loss, and result in multifocal WM lesions and diffuse GM damage in subpial and subventricular regions close to the CSF and meninges [90]. Significant upregulation of TNF and TNFR1 was found in white matter (WM) and subpial GM lesions [81].

WM lesions can be classified as active, chronic active (CALs; smouldering, slowly expanding, mixed active/inactive), remyelinating, or chronic inactive lesions [92]. Active lesions develop from normal-appearing white matter (NAWM) and are characterized by areas of demyelination and activated macrophages and microglia. These lesions can remyelinate in the presence of activated microglia or evolve into CALs or inactive lesions [93]. CALs exhibit a demyelinated hypocellular nucleus and rims of iron-laden activated microglia [94, 95], while inactive lesions are well-defined areas of demyelination and axonal degeneration in the absence of inflammation [23, 80, 93].

Chronic compartmentalized inflammation leads to the formation of CALs, which increase in number as the disease progresses [31, 96, 97]. In fact, they represent more than half of all focal WM lesions, especially in progressive MS patients [98], depicting a relevant pathological finding associated with a severe disease course mediated by neuroaxonal damage in the absence of superimposed acute inflammatory activity [23, 94, 97].

The presence of TNF in CALs and its absence in inactive lesions is a noteworthy finding consistent with previous observations indicating immunoreactivity primarily in activated microglia and T cells at the lesion edge [30, 95]. In addition, a seminal study by Jackle et al. explored the immunological-molecular profile of CALs; through microarray analysis, they found an upregulation of different genes associated with immune functions, including those for TNF and its receptors, indicating its significant role in the formation of CALs [99]. Specifically, the transcript expression of the TNFR1 gene increased almost fivefold in these lesion types [99]. These results suggest an ongoing inflammatory response associated with the TNF and TNFR1 overexpression in CALs, which contributes to the exacerbation of MS outcomes.

Furthermore, TNF and TNFR1 levels also increase in cortical lesions [38]. GM damage, including cortical lesions and atrophy, is already present in the early phase of MS [28, 80, 100, 101] and becomes more prominent during the disease progression [102]. Early cortical involvement is related to a more severe and rapid disease course in terms of disability progression and cognitive impairment. The transcriptional profile of chronic subpial GM lesions isolated from MS brain samples with prominent meningeal inflammation, revealed an upregulation of TNFR1 and genes encoding caspase 1, proinflammatory cytokines and chemokines, consistently with skewing toward a detrimental environment and proinflammatory microglia phenotype within these lesions [91]. This evidence is also supported by the study of Magliozzi et al., which demonstrated that in subpial GM lesions of progressive MS patients, TNFR1, and not TNFR2, was exclusively increased [38]. Overall, these studies highlight TNF-TNFR1 signaling as a potential future therapeutic target for mitigating the impact of both CALs and GM lesions in MS.

Exploring the potential role of TNF signaling in the emergence of PIRA

According to the newly proposed categorization, the different clinical MS phenotypes (RRMS, SPMS, PPMS, and PRMS) identified in 1996 [103] are summarized in relapsing–remitting disease versus progressive disease [104]. Both clinical forms of MS appear to reflect the same underlying disease process characterized by neuroinflammation and subsequent neurodegeneration [105, 106] present in all MS lesions across the entire disease course [105,106,107,108,109,110]. In this context, compartmentalized neuroinflammation appears crucial for the onset and progression of neurodegenerative mechanisms that result in axonal loss and brain atrophy [111], which are strongly correlated with long-term functional and cognitive disability [112].

Several studies have also proven the association between focal inflammatory activity and diffuse and regional atrophic changes [15, 113, 114]. Specifically, MS lesions cause brain volume loss through direct inflammatory damage leading to myelin and axonal loss and, indirectly, tissue loss following Wallerian degeneration [15].

In addition, evidence from neuropathological, imaging, and biomarkers studies suggests more continuous axonal loss across all clinically defined stages of MS, both in early and relapsing MS rather than in more advanced and progressive stages [9].

The classic RRMS/PrMS subdivision has been overcome since the emergence of a new concept of MS, evidence of progression independent of relapse activity (PIRA) [15].

PIRA represents the first and main event responsible for irreversible disability accumulation in adult patients with RRMS, which occurs in 80% to 90% of patients [9]. PIRA is already present in the early phases of disease and may even occur during disease-modifying treatments (DMTs) [15, 111, 112, 115]. Two similar important studies investigating PIRA in early MS patients showed that approximately one-fourth of patients with RRMS may develop PIRA during the first ten years of the disease [14, 116]. Patients who developed their first PIRA event very early in the disease course had an unfavourable prognosis [14].

PIRA occurs in approximately 5% of all patients with RRMS annually, causing at least 50% of all disability accrual events in typical RRMS [117]. In this regard, a recent study confirmed that up to 50% of disability accumulation in adult patients with RRMS is not associated with evident relapses [118]. Relapses may mask disease progression, and the gradual loss of function might go unnoticed by some patients and their physicians; this would explain why PIRA is underestimated in patients with RRMS [118].

Furthermore, patients with PIRA show significantly increased GM atrophy and a greater number of CALs, providing additional important evidence of the association between PIRA and diffuse neurodegeneration [15].

In PIRA, neuroinflammation is associated with several pathological processes, such as brain atrophy, failure of compensatory mechanisms and impaired remyelination [119, 120]. Understanding molecular mechanisms underlying TNF signaling and associated neuroinflammation in PIRA is crucial for developing targeted therapies to slow the MS progression and potentially identifying prognostic and predictive disease values associated with TNF-TNFRs levels.

Currently, there are no specific biomarkers for identifying PIRA conditions. Overall, the only biomarker of ongoing neuronal damage considered is serum neurofilament light chain (sNfLs). However, its association with long-term clinical outcomes or its ability to reflect slow and diffuse neurodegenerative damage in MS is not completely clear [121]. This lack of clarity is probably due to unstable measurements subject to physiological changes such as age or body mass index fluctuations [121, 122].

Although early treatment with DMTs delays the diagnosis of progression over time [123], the ability to target PIRA remains an unmet need, even during highly effective treatments [9, 117]. Nevertheless, several recent observational studies failed to confirm a beneficial association of DMT with PIRA [117, 124, 125].

Hence, identifying a biological target that specifically reflects current and future prognostic disability and irreversible CNS tissue damage due to PIRA is urgently needed.

Anti-TNF therapy and its potential use for PIRA

Based on the strong proinflammatory activity of the TNF, several anti-inflammatory drugs targeting TNF signaling have been developed and approved for treating inflammatory diseases, such as Crohn’s disease, ankylosing spondylitis, and rheumatoid arthritis. Specifically, five TNF blockers are available for clinical use: infliximab, adalimumab, golimumab, certolizumab and etanercept. Anti-TNF serum is composed of either anti-TNF antibodies (infliximab, adalimumab, golimumab and certolizumab) or TNFR fusion proteins (etanercept) that act as antagonists by blocking TNF (both mTNF and sTNF) interactions with TNFRs [126]. Despite being considered relatively safe and effective for the above-mentioned diseases, severe effects associated with immune suppression have been reported in MS [66, 127]. In particular, a clinical trial of infliximab showed unfavourable results, with increased disease activity and MRI lesion load, proving the association of TNF inhibitors with CNS demyelination [127, 128]. Although the relationship between TNF blockers and demyelination remains uncertain, it is likely that these blockers are not selective, i.e., they block the interaction between TNFR1, which has a primarily proinflammatory effect, and TNFR2, which has a primarily protective effect. This finding confirms the crucial and controversial role of TNF in the CNS, which exerts both potent proinflammatory effects (via TNFR1) and essential protective functions (via TNFR2) under pathological conditions [31, 66]. Specifically, TNF through TNFR2 signaling modulates the reactivity of self-reactive T cells to self-antigens, promoting the expansion of Treg cells and, subsequently, the preservation of myelin oligodendrocytes [90]. Selective inhibition of TNFR1 and selective activation of TNFR2 through the use and even discovery of new antagonist and agonist antibodies could represent a new molecular target for developing therapeutic agents for MS [49]. A recent preclinical study showed that atrosab, a human monovalent antibody selectively against TNFR1 developed for treating inflammatory diseases, reduces disease severity. This preclinical evidence seems promising for finding novel effective drugs for MS and perhaps PIRA in the future [32].

The impact of DMTs on TNF-TNFRs serum levels in patients with PrMS

Peripheral TNF levels are elevated in PPMS patients and correlate with disease progression, while results for RRMS patients are inconclusive [49, 129]. The detection of soluble TNFRs (sTNFR1 and sTNFR2) in serum has been suggested as a potential prognostic marker for PrMS [129, 130].

Consequently, researchers have focused on serum-detectable TNF-signaling to attempt to distinguish MS forms, monitor disease activity and assess treatment responses [49, 129, 130].

Several studies have shown that commonly used MS drugs can indirectly modulate TNF and sTNFRs expression [131,132,133,134,135,136,137]. Novel and increasingly effective DMTs approved in the last decades significantly impact the immune system, including TNF expression [131, 132]. These DMTs, including oral fumarates, glatiramer acetate (GA), teriflunomide and selective sphingosine 1‐phosphate receptor (S1PR) modulators (Fingolimod and Siponimod), as well as cell‐depleting therapies such as cladribine, anti‐CD20 (Ocrelizumab) and anti‐CD52 monoclonals (Alemtuzumab), reduce disease activity and disability progression, albeit in a different way [132]. GA treatment promotes Th2 and Treg expansion, releasing neurotrophic factors and anti-inflammatory cytokines, and, conversely, reducing pro-inflammatory mediators like TNF and TNFRs [133]. Teriflunomide, a chemotherapeutic agent, inhibits the proliferation of B cells, T cells, and macrophages by inserting itself into DNA strands, and selectively suppresses pro-inflammatory cytokines expression, such as TNF [134]. S1PR modulators sequester autoreactive lymphocytes within lymph nodes, preventing their infiltration into the CNS [135]. They also inhibit T cell differentiation into pro-inflammatory Th1 and Th17 cells, producing TNF [135]. Specifically, Fingolimod-treated mature dendritic cells (DCs) show impaired phagocytic capacity and down-regulated several pro-inflammatory cytokines, including TNF [136]. Lastly, a recent study by Nowak-Kiczmer et al. found that serum levels of sTNF-R1 and sTNF-R2 significantly differed between PPMS patients treated with Ocrelizumab and treatment-naïve progressive patients, with higher sTNF-R2 levels in the treated group [137].

By modulating TNF expression, DMTs help reduce inflammation and potentially slow down disease progression. This modulation can have significant consequences for PIRA, as it may help mitigate some of the pathological processes associated with the condition, such as brain atrophy, failure of compensatory mechanisms, and impaired remyelination.

Discussion

TNF plays a pivotal role in the pathogenesis of MS [32, 33]. Its pleiotropic effects are mediated through the interaction with two receptors: TNFR1 signaling appears to be involved in the induction of neuroinflammatory processes, while TNFR2 engages in cell survival neuroprotection and sustains homeostasis processes. The balance between TNFR1 and TNFR2 levels and their activation status determine the complexity of TNF-TNFRs pathways. Alterations in the TNFR1-TNFR2 balance have been confirmed in MS [53] in association with a more severe and early disease progression [38]. Transgenic EAE mouse models have contributed significantly to understanding the pathological role of TNF and TNFRs in MS [49]. TNF/TNFR1 KO mice exhibited a milder disease course [68, 69], whereas TNFR2 KO mice showed more severe EAE symptoms and diffuse demyelination [69]. Specifically, the selective ablation of TNFR2 in oligodendrocytes results in impaired remyelination [83]. Likewise, TNFR1 signaling activation by TNF mediates necroptosis and apoptosis in oligodendrocytes [35, 36] and causes neuronal excitotoxicity [78] and necroptosis in cortical neurons [81]. These processes contribute to inflammatory demyelinating processes and neurodegeneration. Therefore, it is unsurprising that TNF and TNFR1 are overexpressed in CALs and GM lesions in MS patients [30, 38, 95, 99], especially in those with progressive MS [38]. In addition, increased levels of TNF were detected in the CSF of MS patients [26]. High CSF TNF levels are associated with chronic compartmentalized inflammation, causing GM damage from the early disease stages, correlating with the degree of disability in patients with progressive MS [20, 26, 28, 29, 84, 85]. All these results (summarized in Table 1) suggest a possible role for TNF-TNFR1 signaling activation in disease progression independent of acute inflammation and in the decrease of compensation mechanisms following a neuronal insult [20, 28, 87, 88].

Table 1 Studies on the role of TNF in MS and EAE

Neurodegenerative processes drive progression independent of relapse activity, PIRA, which is currently considered the main contributor to irreversible disability accumulation since the relapse-onset of the disease and throughout the entire disease course [9, 14, 15, 116, 117]. PIRA plays a significant role in worsening and transitioning to progressive MS. However, the definition of PIRA is not widely clarified as disease progression can be extremely gradual and slow compared to relapses. This makes PIRA underestimated and not so easily recognized [118]. Furthermore, consistent data have shown no beneficial effects of DMT on PIRA [117, 124, 125].

Similarly, TNF-TNFRs blockers used for the treatment of several inflammatory diseases are not only ineffective but also potentially harmful for MS patients [66, 128]. Their unselective action fails to preserve neuroprotective and cell survival processes associated with TNFR2 signaling.

For these reasons, understanding PIRA is crucial for developing effective MS therapies. Selective modulators targeting TNFRs (e.g., TNFR2 activation or TNFR1 silencing) could be promising therapeutic options. Therefore, the detection of TNF and its receptors serum levels may be useful in assessing the pharmacological efficacy of DMTs in PIRA.

Conclusions and perspectives

The impact of TNF on MS involves intricate molecular processes, and understanding these mechanisms is essential for improving treatment strategies and assessment for PIRA. Specifically, a receptor-selective modulation of the TNF signal pathway could provide a novel therapeutic strategy to attenuate the progression of disability independent of relapse activity in RRMS. However, this topic requires further research to fully grasp the potential therapeutic implications. This promising field of study could enhance the quality of life for people with MS.

Availability of data and materials

No datasets were generated or analysed during the current study.

Abbreviations

TNF:

Tumor necrosis factor

MS:

Multiple sclerosis

PIRA:

Progression independent of relapse activity

CNS:

Central nervous system

RRMS:

Relapsing–remitting MS

SPMS:

Secondary progressive MS

PPMS:

Primary progressive MS

PrMS:

Progressive MS

GM:

Grey matter

EDSS:

Expanded disability status scale

WM:

White matter

CALs:

Chronic active lesions

CSF:

Cerebrospinal fluid

TNFR:

TNF receptor

TNFR1:

TNF receptor type-1

TNFR2:

TNF receptor type-2

TACE:

TNF converting enzyme

mTNF:

Transmembrane TNF

sTNF:

Soluble TNF

Th:

T helper

TRADD:

TNFR1-associated death domain

FADD:

Fas-associated death domain

RIPK:

Receptor-interacting serine/threonine-protein kinase

MLKL:

Mixed lineage kinase domain-like pseudokinase

TRAF2:

TNFR-associated factor 2

JNK:

C-Jun-N-terminal kinase

ERK:

Extracellular signal-regulated kinase

NFκB:

Transcription factor nuclear factor-κB

EAE:

Experimental autoimmune encephalomyelitis

WT:

Wild type

KO:

Knockout

AMPA:

α-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid

NMDA:

N-methyl-D-aspartate

DMTs:

Disease-modifying treatments

sNfLs:

Serum neurofilament light chain

GA:

Glatiramer acetate

DC:

Dendritic cell

References

  1. Browne P, Chandraratna D, Angood C, Tremlett H, Baker C, Taylor BV, Thompson AJ. Atlas of multiple sclerosis 2013: a growing global problem with widespread inequity. Neurology. 2014;83(11):1022–4. https://doi.org/10.1212/WNL.0000000000000768.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Koch-Henriksen N, Sørensen PS. The changing demographic pattern of multiple sclerosis epidemiology. Lancet Neurol. 2010;9(5):520–32. https://doi.org/10.1016/S1474-4422(10)70064-8.

    Article  PubMed  Google Scholar 

  3. Filippi M, Bar-Or A, Piehl F, Preziosa P, Solari A, Vukusic S, Rocca MA. Multiple sclerosis. Nat Rev Dis Primers. 2018;4(1):43. https://doi.org/10.1038/s41572-018-0041-4. (Erratum.In:NatRevDisPrimers.2018Nov22;4(1):49).

    Article  PubMed  Google Scholar 

  4. Wan ECK. Cellular and molecular mechanisms in the pathogenesis of multiple sclerosis. Cells. 2020;9(10):2223. https://doi.org/10.3390/cells9102223.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Compston A, Coles A. Multiple sclerosis. Lancet. 2008;372(9648):1502–17. https://doi.org/10.1016/S0140-6736(08)61620-7.

    Article  CAS  PubMed  Google Scholar 

  6. Vollmer TL, Nair KV, Williams IM, Alvarez E. Multiple sclerosis phenotypes as a continuum: the role of neurologic reserve. Neurol Clin Pract. 2021;11(4):342–51. https://doi.org/10.1212/CPJ.0000000000001045.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Kaymakamzade B, Kiliç AK, Kurne AT, Karabudak R. Progressive onset multiple sclerosis: demographic, clinical and laboratory characteristics of patients with and without relapses in the course. Noro Psikiyatr Ars. 2019;56(1):23–6. https://doi.org/10.5152/npa.2017.19269.

    Article  PubMed  Google Scholar 

  8. Scalfari A. MS can be considered a primary progressive disease in all cases, but some patients have superimposed relapses—yes. Mult Scler. 2021;27(7):1002–4. https://doi.org/10.1177/13524585211001789.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Kappos L, Wolinsky JS, Giovannoni G, Arnold DL, Wang Q, Bernasconi C, Model F, Koendgen H, Manfrini M, Belachew S, et al. Contribution of relapse-independent progression vs relapse-associated worsening to overall confirmed disability accumulation in typical relapsing multiple sclerosis in a pooled analysis of 2 randomized clinical trials. JAMA Neurol. 2020;77(9):1132–40. https://doi.org/10.1001/jamaneurol.2020.1568.

    Article  PubMed  Google Scholar 

  10. Cree BAC, Hollenbach JA, Bove R, Kirkish G, Sacco S, Caverzasi E, Bischof A, Gundel T, Zhu AH, Papinutto N, et al. Silent progression in disease activity-free relapsing multiple sclerosis. Ann Neurol. 2019;85(5):653–66. https://doi.org/10.1002/ana.25463.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Cree BA, Gourraud PA, Oksenberg JR, Bevan C, Crabtree-Hartman E, Gelfand JM, Goodin DS, Graves J, Green AJ, Mowry E, et al. Long-term evolution of multiple sclerosis disability in the treatment era. Ann Neurol. 2016;80(4):499–510. https://doi.org/10.1002/ana.24747.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Woo MS, Engler JB, Friese MA. The neuropathobiology of multiple sclerosis. Nat Rev Neurosci. 2024;25(7):493–513. https://doi.org/10.1038/s41583-024-00823-z.

    Article  CAS  PubMed  Google Scholar 

  13. Sharrad D, Chugh P, Slee M, Bacchi S. Defining progression independent of relapse activity (PIRA) in adult patients with relapsing multiple sclerosis: a systematic review. Mult Scler Relat Disord. 2023;78: 104899. https://doi.org/10.1016/j.msard.2023.104899.

    Article  PubMed  Google Scholar 

  14. Tur C, Carbonell-Mirabent P, Cobo-Calvo Á, Otero-Romero S, Arrambide G, Midaglia L, Castilló J, Vidal-Jordana Á, Rodríguez-Acevedo B, Zabalza A, 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;80(2):151–60. https://doi.org/10.1001/jamaneurol.2022.4655.

    Article  PubMed  Google Scholar 

  15. Cagol A, Schaedelin S, Barakovic M, Benkert P, Todea RA, Rahmanzadeh R, Galbusera R, Lu PJ, Weigel M, Melie-Garcia L, et al. Association of brain atrophy with disease progression independent of relapse activity in patients with relapsing multiple sclerosis. JAMA Neurol. 2022;79(7):682–92. https://doi.org/10.1001/jamaneurol.2022.1025.

    Article  PubMed  Google Scholar 

  16. Filippi M, Preziosa P, Copetti M, Riccitelli G, Horsfield MA, Martinelli V, Comi G, Rocca MA. Gray matter damage predicts the accumulation of disability 13 years later in MS. Neurology. 2013;81(20):1759–67. https://doi.org/10.1212/01.wnl.0000435551.90824.d0.

    Article  PubMed  Google Scholar 

  17. Scalfari A, Romualdi C, Nicholas RS, Mattoscio M, Magliozzi R, Morra A, Monaco S, Muraro PA, Calabrese M. The cortical damage, early relapses, and onset of the progressive phase in multiple sclerosis. Neurology. 2018;90(24):e2107–18. https://doi.org/10.1212/WNL.0000000000005685.

    Article  PubMed  Google Scholar 

  18. Haider L, Prados F, Chung K, Goodkin O, Kanber B, Sudre C, Yiannakas M, Samson RS, Mangesius S, Thompson AJ, et al. Cortical involvement determines impairment 30 years after a clinically isolated syndrome. Brain. 2021;144(5):1384–95. https://doi.org/10.1093/brain/awab033.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Howell OW, Reeves CA, Nicholas R, Carassiti D, Radotra B, Gentleman SM, Serafini B, Aloisi F, Roncaroli F, Magliozzi R, et al. Meningeal inflammation is widespread and linked to cortical pathology in multiple sclerosis. Brain. 2011;134(Pt 9):2755–71. https://doi.org/10.1093/brain/awr182.

    Article  PubMed  Google Scholar 

  20. James RE, Schalks R, Browne E, Eleftheriadou I, Munoz CP, Mazarakis ND, Reynolds R. Persistent elevation of intrathecal pro-inflammatory cytokines leads to multiple sclerosis-like cortical demyelination and neurodegeneration. Acta Neuropathol Commun. 2020;8(1):66. https://doi.org/10.1186/s40478-020-00938-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Magliozzi R, Howell O, Vora A, Serafini B, Nicholas R, Puopolo M, et al. Meningeal B-cell follicles in secondary progressive multiple sclerosis associate with early onset of disease and severe cortical pathology. Brain. 2007;130:1089–104. https://doi.org/10.1093/brain/awm038.

    Article  PubMed  Google Scholar 

  22. Magliozzi R, Howell OW, Reeves C, Roncaroli F, Nicholas R, Serafini B, et al. A Gradient of neuronal loss and meningeal inflammation in multiple sclerosis. Ann Neurol. 2010;68:477–93. https://doi.org/10.1002/ana.22230.

    Article  CAS  PubMed  Google Scholar 

  23. Absinta M, Sati P, Masuzzo F, Nair G, Sethi V, Kolb H, Ohayon J, Wu T, Cortese ICM, Reich DS. Association of chronic active multiple sclerosis lesions with disability in vivo. JAMA Neurol. 2019;76(12):1474–83. https://doi.org/10.1001/jamaneurol.2019.2399. (Erratum.In:JAMANeurol.2019Dec1;76(12):1520).

    Article  PubMed  PubMed Central  Google Scholar 

  24. Absinta M, Lassmann H, Trapp BD. Mechanisms underlying progression in multiple sclerosis. Curr Opin Neurol. 2020;33(3):277–85. https://doi.org/10.1097/WCO.0000000000000818.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Ahmed SM, Fransen NL, Touil H, Michailidou I, Huitinga I, Gommerman JL, Bar-Or A, Ramaglia V. Accumulation of meningeal lymphocytes correlates with white matter lesion activity in progressive multiple sclerosis. JCI Insight. 2022;7(5): e151683. https://doi.org/10.1172/jci.insight.151683.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Magliozzi R, Howell OW, Nicholas R, Cruciani C, Castellaro M, Romualdi C, Rossi S, Pitteri M, Benedetti MD, Gajofatto A, et al. Inflammatory intrathecal profiles and cortical damage in multiple sclerosis. Ann Neurol. 2018;83(4):739–55. https://doi.org/10.1002/ana.25197.

    Article  CAS  PubMed  Google Scholar 

  27. Kosa P, Barbour C, Varosanec M, Wichman A, Sandford M, Greenwood M, Bielekova B. Molecular models of multiple sclerosis severity identify heterogeneity of pathogenic mechanisms. Nat Commun. 2022;13(1):7670. https://doi.org/10.1038/s41467-022-35357-4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Calabrese M, Magliozzi R, Ciccarelli O, Geurts JJ, Reynolds R, Martin R. Exploring the origins of grey matter damage in multiple sclerosis. Nat Rev Neurosci. 2015;16(3):147–58. https://doi.org/10.1038/nrn3900.

    Article  CAS  PubMed  Google Scholar 

  29. Sharief MK, Hentges R. Association between tumor necrosis factor-alpha and disease progression in patients with multiple sclerosis. N Engl J Med. 1991;325(7):467–72. https://doi.org/10.1056/NEJM199108153250704.

    Article  CAS  PubMed  Google Scholar 

  30. Selmaj K, Raine CS, Cannella B, Brosnan CF. Identification of lymphotoxin and tumor necrosis factor in multiple sclerosis lesions. J Clin Invest. 1991;87(3):949–54. https://doi.org/10.1172/JCI115102.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Fischer MT, Wimmer I, Höftberger R, Gerlach S, Haider L, Zrzavy T, Hametner S, Mahad D, Binder CJ, Krumbholz M, Bauer J, Bradl M, Lassmann H. Disease-specific molecular events in cortical multiple sclerosis lesions. Brain. 2013;136(Pt 6):1799–815. https://doi.org/10.1093/brain/awt110.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Zahid M, Busmail A, Penumetcha SS, Ahluwalia S, Irfan R, Khan SA, Rohit Reddy S, Vasquez Lopez ME, Mohammed L. Tumor necrosis factor alpha blockade and multiple sclerosis: exploring new avenues. Cureus. 2021;13(10): e18847. https://doi.org/10.7759/cureus.18847.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Navikas V, Link H. Cytokines and the pathogenesis of multiple sclerosis [review]. J Neurosci Res. 1996;45:322–33.

    Article  CAS  PubMed  Google Scholar 

  34. Olmos G, Lladó J. Tumor necrosis factor alpha: a link between neuroinflammation and excitotoxicity. Mediators Inflamm. 2014;2014: 861231. https://doi.org/10.1155/2014/861231.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Akassoglou K, Bauer J, Kassiotis G, Pasparakis M, Lassmann H, Kollias G, Probert L. Oligodendrocyte apoptosis and primary demyelination induced by local TNF/p55TNF receptor signaling in the central nervous system of transgenic mice: models for multiple sclerosis with primary oligodendrogliopathy. Am J Pathol. 1998;153(3):801–13. https://doi.org/10.1016/S0002-9440(10)65622-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Ofengeim D, Ito Y, Najafov A, Zhang Y, Shan B, DeWitt JP, Ye J, Zhang X, Chang A, Vakifahmetoglu-Norberg H, et al. Activation of necroptosis in multiple sclerosis. Cell Rep. 2015;10(11):1836–49. https://doi.org/10.1016/j.celrep.2015.02.051.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Picon C, Jayaraman A, James R, Beck C, Gallego P, Witte ME, van Horssen J, Mazarakis ND, Reynolds R. Neuron-specific activation of necroptosis signaling in multiple sclerosis cortical grey matter. Acta Neuropathol. 2021;141(4):585–604. https://doi.org/10.1007/s00401-021-02274-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Magliozzi R, Howell OW, Durrenberger P, Aricò E, James R, Cruciani C, Reeves C, Roncaroli F, Nicholas R, Reynolds R. Meningeal inflammation changes the balance of TNF signalling in cortical grey matter in multiple sclerosis. J Neuroinflammation. 2019;16(1):259. https://doi.org/10.1186/s12974-019-1650-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Calabrese M, Preziosa P, Scalfari A, Colato E, Marastoni D, Absinta M, Battaglini M, De Stefano N, Di Filippo M, Hametner S, et al. Determinants and biomarkers of progression independent of relapses in multiple sclerosis. Ann Neurol. 2024. https://doi.org/10.1002/ana.26913.

    Article  PubMed  Google Scholar 

  40. De Jager PL, Jia X, Wang J, de Bakker PI, Ottoboni L, Aggarwal NT, Piccio L, Raychaudhuri S, Tran D, Aubin C, et al. Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci. Nat Genet. 2009;41(7):776–82. https://doi.org/10.1038/ng.401.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Holbrook J, Lara-Reyna S, Jarosz-Griffiths H, McDermott M. Tumour necrosis factor signalling in health and disease. F1000Res. 2019. https://doi.org/10.12688/f1000research.17023.1.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Caminero A, Comabella M, Montalban X. Role of tumour necrosis factor (TNF)-α and TNFRSF1A R92Q mutation in the pathogenesis of TNF receptor-associated periodic syndrome and multiple sclerosis. Clin Exp Immunol. 2011;166:338–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. McCoy MK, Tansey MG. TNF signaling inhibition in the CNS: implications for normal brain function and neurodegenerative disease. J Neuroinflammation. 2008;17(5):45. https://doi.org/10.1186/1742-2094-5-45.

    Article  CAS  Google Scholar 

  44. Beutler B, Cerami A. The biology of cachectin/TNF–a primary mediator of the host response. Annu Rev Immunol. 1989;7:625–55. https://doi.org/10.1146/annurev.iy.07.040189.003205.

    Article  CAS  PubMed  Google Scholar 

  45. Popa C, Netea MG, van Riel PL, van der Meer JW, Stalenhoef AF. The role of TNF-alpha in chronic inflammatory conditions, intermediary metabolism, and cardiovascular risk. J Lipid Res. 2007;48(4):751–62. https://doi.org/10.1194/jlr.R600021-JLR200.

    Article  CAS  PubMed  Google Scholar 

  46. Maguire AD, Bethea JR, Kerr BJ. TNFα in MS and its animal models: implications for chronic pain in the disease. Front Neurol. 2021;6(12): 780876. https://doi.org/10.3389/fneur.2021.780876.

    Article  Google Scholar 

  47. Liu Y, Liu T, Lei T, Zhang D, Du S, Girani L, et al. RIP1/RIP3-regulated necroptosis as a target for multifaceted disease therapy (review). Int J Mol Med. 2019;44:771–86. https://doi.org/10.3892/ijmm.2019.4244.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Van Antwerp DJ, Martin SJ, Kafri T, Green DR, Verma IM. Suppression of TNF-alpha-induced apoptosis by NF-kappaB. Science. 1996;274(5288):787–9. https://doi.org/10.1126/science.274.5288.787.

    Article  PubMed  Google Scholar 

  49. Fresegna D, Bullitta S, Musella A, Rizzo FR, De Vito F, Guadalupi L, Caioli S, Balletta S, Sanna K, Dolcetti E, et al. Re-examining the role of TNF in MS pathogenesis and therapy. Cells. 2020;9(10):2290. https://doi.org/10.3390/cells9102290.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Tartaglia LA, Rothe M, Hu YF, Goeddel DV. Tumor necrosis factor’s cytotoxic activity is signaled by the p55 TNF receptor. Cell. 1993;73(2):213–6. https://doi.org/10.1016/0092-8674(93)90222-c.

    Article  CAS  PubMed  Google Scholar 

  51. Hayden MS, Ghosh S. Regulation of NF-κB by TNF family cytokines. Semin Immunol. 2014;26(3):253–66. https://doi.org/10.1016/j.smim.2014.05.004.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Sabio G, Davis RJ. TNF and MAP kinase signalling pathways. Semin Immunol. 2014;26(3):237–45. https://doi.org/10.1016/j.smim.2014.02.009.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Brenner D, Blaser H, Mak T. Regulation of tumour necrosis factor signalling: live or let die. Nat Rev Immunol. 2015;15:362–74. https://doi.org/10.1038/nri3834.

    Article  CAS  PubMed  Google Scholar 

  54. Barton A, John S, Ollier WE, Silman A, Worthington J. Association between rheumatoid arthritis and polymorphism of tumor necrosis factor receptor II, but not tumor necrosis factor receptor I, in Caucasians. Arthritis Rheum. 2001;44(1):61–5. https://doi.org/10.1002/1529-0131(200101)44:1%3c61::AID-ANR9%3e3.0.CO;2-Q.

    Article  CAS  PubMed  Google Scholar 

  55. Komata T, Tsuchiya N, Matsushita M, Hagiwara K, Tokunaga K. Association of tumor necrosis factor receptor 2 (TNFR2) polymorphism with susceptibility to systemic lupus erythematosus. Tissue Antigens. 1999;53(6):527–33. https://doi.org/10.1034/j.1399-0039.1999.530602.x.

    Article  CAS  PubMed  Google Scholar 

  56. Sashio H, Tamura K, Ito R, Yamamoto Y, Bamba H, Kosaka T, Fukui S, Sawada K, Fukuda Y, Tamura K, et al. Polymorphisms of the TNF gene and the TNF receptor superfamily member 1B gene are associated with susceptibility to ulcerative colitis and Crohn’s disease, respectively. Immunogenetics. 2002;53(12):1020–7. https://doi.org/10.1007/s00251-001-0423-7.

    Article  CAS  PubMed  Google Scholar 

  57. Scheurich P, Thoma B, Ucer U, Pfizenmaier K. Immunoregulatory activity of recombinant human tumor necrosis factor (TNF)-alpha: induction of TNF receptors on human T cells and TNF-alpha-mediated enhancement of T-cell responses. J Immunol. 1987;138(6):1786–90.

    Article  CAS  PubMed  Google Scholar 

  58. Kassiotis G, Pasparakis M, Kollias G, Probert L. TNF accelerates the onset but does not alter the incidence and severity of myelin basic protein-induced experimental autoimmune encephalomyelitis. Eur J Immunol. 1999;29(3):774–80. https://doi.org/10.1002/(SICI)1521-4141(199903)29:03%3c774::AID-IMMU774%3e3.0.CO;2-T.

    Article  CAS  PubMed  Google Scholar 

  59. Russi AE, Walker-Caulfield ME, Guo Y, Lucchinetti CF, Brown MA. Meningeal mast cell-T-cell crosstalk regulates T-cell encephalitogenicity. J Autoimmun. 2016;73:100–10. https://doi.org/10.1016/j.jaut.2016.06.015.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Begolka WS, Vanderlugt CL, Rahbe SM, Miller SD. Differential expression of inflammatory cytokines parallels progression of central nervous system pathology in two clinically distinct models of multiple sclerosis. J Immunol. 1998;161(8):4437–46.

    Article  CAS  PubMed  Google Scholar 

  61. Vladić A, Horvat G, Vukadin S, Sucić Z, Simaga S. Cerebrospinal fluid and serum protein levels of tumour necrosis factor-alpha (TNF-alpha) interleukin-6 (IL-6) and soluble interleukin-6 receptor (sIL-6R gp80) in multiple sclerosis patients. Cytokine. 2002;20(2):86–9. https://doi.org/10.1006/cyto.2002.1984.

    Article  CAS  PubMed  Google Scholar 

  62. Maimone D, Gregory S, Arnason BG, Reder AT. Cytokine levels in the cerebrospinal fluid and serum of patients with multiple sclerosis. J Neuroimmunol. 1991;32(1):67–74. https://doi.org/10.1016/0165-5728(91)90073-g.

    Article  CAS  PubMed  Google Scholar 

  63. Williams SK, Maier O, Fischer R, Fairless R, Hochmeister S, Stojic A, Pick L, Haar D, Musiol S, Storch MK, et al. Antibody-mediated inhibition of TNFR1 attenuates disease in a mouse model of multiple sclerosis. PLoS ONE. 2014;9(2): e90117. https://doi.org/10.1371/journal.pone.0090117.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Rieckmann P, Albrecht M, Ehrenreich H, Weber T, Michel U. Semiquantitative analysis of cytokine gene expression in blood and cerebrospinal fluid cells by reverse transcriptase polymerase chain reaction. Res Exp Med (Berl). 1995;195(1):17–29. https://doi.org/10.1007/BF02576770.

    Article  CAS  PubMed  Google Scholar 

  65. van Oosten BW, Barkhof F, Scholten PE, von Blomberg BM, Adèr HJ, Polman CH. Increased production of tumor necrosis factor alpha, and not of interferon gamma, preceding disease activity in patients with multiple sclerosis. Arch Neurol. 1998;55(6):793–8. https://doi.org/10.1001/archneur.55.6.793.

    Article  PubMed  Google Scholar 

  66. Kemanetzoglou E, Andreadou E. CNS demyelination with TNF-α blockers. Curr Neurol Neurosci Rep. 2017;17(4):36. https://doi.org/10.1007/s11910-017-0742-1.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Valentin-Torres A, Savarin C, Hinton DR, Phares TW, Bergmann CC, Stohlman SA. Sustained TNF production by central nervous system infiltrating macrophages promotes progressive autoimmune encephalomyelitis. J Neuroinflammation. 2016;22(13):46. https://doi.org/10.1186/s12974-016-0513-y.

    Article  CAS  Google Scholar 

  68. Körner H, Lemckert FA, Chaudhri G, Etteldorf S, Sedgwick JD. Tumor necrosis factor blockade in actively induced experimental autoimmune encephalomyelitis prevents clinical disease despite activated T-cell infiltration to the central nervous system. Eur J Immunol. 1997;27(8):1973–81. https://doi.org/10.1002/eji.1830270822.

    Article  PubMed  Google Scholar 

  69. Suvannavejh GC, Lee HO, Padilla J, Dal Canto MC, Barrett TA, Miller SD. Divergent roles for p55 and p75 tumor necrosis factor receptors in the pathogenesis of MOG(35–55)-induced experimental autoimmune encephalomyelitis. Cell Immunol. 2000;205(1):24–33. https://doi.org/10.1006/cimm.2000.1706.

    Article  CAS  PubMed  Google Scholar 

  70. Yang S, Wang J, Brand DD, Zheng SG. Role of TNF-TNF receptor 2 signal in regulatory T cells and its therapeutic implications. Front Immunol. 2018;19(9):784. https://doi.org/10.3389/fimmu.2018.00784.

    Article  CAS  Google Scholar 

  71. Kondĕlková K, Vokurková D, Krejsek J, Borská L, Fiala Z, Ctirad A. Regulatory T cells (TREG) and their roles in immune system with respect to immunopathological disorders. Acta Medica (Hradec Kralove). 2010;53(2):73–7. https://doi.org/10.14712/18059694.2016.63.

    Article  PubMed  Google Scholar 

  72. Valencia X, Stephens G, Goldbach-Mansky R, Wilson M, Shevach EM, Lipsky PE. TNF downmodulates the function of human CD4+CD25hi T-regulatory cells. Blood. 2006;108(1):253–61. https://doi.org/10.1182/blood-2005-11-4567.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Chen X, Subleski JJ, Kopf H, Howard OM, Männel DN, Oppenheim JJ. Cutting edge: expression of TNFR2 defines a maximally suppressive subset of mouse CD4+CD25+FoxP3+ T regulatory cells: applicability to tumor-infiltrating T regulatory cells. J Immunol. 2008;180(10):6467–71. https://doi.org/10.4049/jimmunol.180.10.6467.

    Article  CAS  PubMed  Google Scholar 

  74. Hori S, Nomura T, Sakaguchi S. Control of regulatory T-cell development by the transcription factor Foxp3. Science. 2003;299(5609):1057–61. https://doi.org/10.1126/science.1079490.

    Article  CAS  PubMed  Google Scholar 

  75. Sospedra M, Martin R. Immunology of multiple sclerosis. Semin Neurol. 2016;36(2):115–27. https://doi.org/10.1055/s-0036-1579739.

    Article  PubMed  Google Scholar 

  76. Atretkhany KN, Mufazalov IA, Dunst J, Kuchmiy A, Gogoleva VS, Andruszewski D, Drutskaya MS, Faustman DL, Schwabenland M, Prinz M, Kruglov AA, Waisman A, Nedospasov SA. Intrinsic TNFR2 signaling in T regulatory cells provides protection in CNS autoimmunity. Proc Natl Acad Sci USA. 2018;115(51):13051–6. https://doi.org/10.1073/pnas.1807499115.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Dopp JM, Mackenzie-Graham A, Otero GC, Merrill JE. Differential expression, cytokine modulation, and specific functions of type-1 and type-2 tumor necrosis factor receptors in rat glia. J Neuroimmunol. 1997;75(1–2):104–12. https://doi.org/10.1016/s0165-5728(97)00009-x.

    Article  CAS  PubMed  Google Scholar 

  78. Centonze D, Muzio L, Rossi S, Cavasinni F, De Chiara V, Bergami A, Musella A, D’Amelio M, Cavallucci V, Martorana A, et al. Inflammation triggers synaptic alteration and degeneration in experimental autoimmune encephalomyelitis. J Neurosci. 2009;29(11):3442–52. https://doi.org/10.1523/JNEUROSCI.5804-08.2009.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. Probert L. TNF and its receptors in the CNS: the essential, the desirable and the deleterious effects. Neuroscience. 2015;27(302):2–22. https://doi.org/10.1016/j.neuroscience.2015.06.038.

    Article  CAS  Google Scholar 

  80. Lucchinetti CF, Brück W, Rodriguez M, Lassmann H. Distinct patterns of multiple sclerosis pathology indicates heterogeneity on pathogenesis. Brain Pathol. 1996;6(3):259–74. https://doi.org/10.1111/j.1750-3639.1996.tb00854.x.

    Article  CAS  PubMed  Google Scholar 

  81. Fischer R, Padutsch T, Bracchi-Ricard V, Murphy KL, Martinez GF, Delguercio N, Elmer N, Sendetski M, Diem R, Eisel ULM, et al. Exogenous activation of tumor necrosis factor receptor 2 promotes recovery from sensory and motor disease in a model of multiple sclerosis. Brain Behav Immun. 2019;81:247–59. https://doi.org/10.1016/j.bbi.2019.06.021.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  82. Arnett HA, Mason J, Marino M, Suzuki K, Matsushima GK, Ting JP. TNF alpha promotes proliferation of oligodendrocyte progenitors and remyelination. Nat Neurosci. 2001;4(11):1116–22. https://doi.org/10.1038/nn738.

    Article  CAS  PubMed  Google Scholar 

  83. Madsen PM, Motti D, Karmally S, Szymkowski DE, Lambertsen KL, Bethea JR, Brambilla R. Oligodendroglial TNFR2 mediates membrane TNF-dependent repair in experimental autoimmune encephalomyelitis by promoting oligodendrocyte differentiation and remyelination. J Neurosci. 2016;36(18):5128–43. https://doi.org/10.1523/JNEUROSCI.0211-16.2016.

    Article  PubMed  PubMed Central  Google Scholar 

  84. Magliozzi R, Scalfari A, Pisani AI, Ziccardi S, Marastoni D, Pizzini FB, Bajrami A, Tamanti A, Guandalini M, Bonomi S, et al. The CSF profile linked to cortical damage predicts multiple sclerosis activity. Ann Neurol. 2020;88(3):562–73. https://doi.org/10.1002/ana.25786.

    Article  CAS  PubMed  Google Scholar 

  85. Javor J, Shawkatová I, Ďurmanová V, Párnická Z, Čierny D, Michalik J, Čopíková-Cudráková D, Smahová B, Gmitterová K, Peterajová Ľ, et al. TNFRSF1A polymorphisms and their role in multiple sclerosis susceptibility and severity in the Slovak population. Int J Immunogenet. 2018. https://doi.org/10.1111/iji.12388.

    Article  PubMed  Google Scholar 

  86. Kalafatakis I, Karagogeos D. Oligodendrocytes and microglia: key players in myelin development, damage and repair. Biomolecules. 2021;11(7):1058. https://doi.org/10.3390/biom11071058.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  87. Dendrou CA, Fugger L, Friese MA. Immunopathology of multiple sclerosis. Nat Rev Immunol. 2015;15(9):545–58. https://doi.org/10.1038/nri3871.

    Article  CAS  PubMed  Google Scholar 

  88. Lassmann H, van Horssen J, Mahad D. Progressive multiple sclerosis: pathology and pathogenesis. Nat Rev Neurol. 2012;8(11):647–56. https://doi.org/10.1038/nrneurol.2012.168.

    Article  CAS  PubMed  Google Scholar 

  89. Andravizou A, Dardiotis E, Artemiadis A, et al. Brain atrophy in multiple sclerosis: mechanisms, clinical relevance and treatment options. Auto Immun Highlights. 2019;10(1):7. https://doi.org/10.1186/s13317-019-0117-5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  90. Healy LM, Stratton JA, Kuhlmann T, Antel J. The role of glial cells in multiple sclerosis disease progression. Nat Rev Neurol. 2022;18(4):237–48. https://doi.org/10.1038/s41582-022-00624-x.

    Article  PubMed  Google Scholar 

  91. Veroni C, Serafini B, Rosicarelli B, Fagnani C, Aloisi F, Agresti C. Connecting immune cell infiltration to the multitasking microglia response and TNF receptor 2 induction in the multiple sclerosis brain. Front Cell Neurosci. 2020;7(14):190. https://doi.org/10.3389/fncel.2020.00190.

    Article  CAS  Google Scholar 

  92. Kuhlmann T, Ludwin S, Prat A, Antel J, Brück W, Lassmann H. An updated histological classification system for multiple sclerosis lesions. Acta Neuropathol. 2017;133(1):13–24. https://doi.org/10.1007/s00401-016-1653-y.

    Article  CAS  PubMed  Google Scholar 

  93. Prineas JW, Kwon EE, Cho ES, Sharer LR, Barnett MH, Oleszak EL, Hoffman B, Morgan BP. Immunopathology of secondary-progressive multiple sclerosis. Ann Neurol. 2001;50(5):646–57. https://doi.org/10.1002/ana.1255.

    Article  CAS  PubMed  Google Scholar 

  94. Calvi A, Clarke MA, Prados F, Chard D, Ciccarelli O, Alberich M, Pareto D, Rodríguez Barranco M, Sastre-Garriga J, Tur C, et al. Relationship between paramagnetic rim lesions and slowly expanding lesions in multiple sclerosis. Mult Scler. 2023;29(3):352–62. https://doi.org/10.1177/13524585221141964.

    Article  CAS  PubMed  Google Scholar 

  95. Hofman FM, Hinton DR, Johnson K, Merrill JE. Tumor necrosis factor identified in multiple sclerosis brain. J Exp Med. 1989;170(2):607–12. https://doi.org/10.1084/jem.170.2.607.

    Article  CAS  PubMed  Google Scholar 

  96. Elkjaer ML, Frisch T, Reynolds R, Kacprowski T, Burton M, Kruse TA, Thomassen M, Baumbach J, Illes Z. Molecular signature of different lesion types in the brain white matter of patients with progressive multiple sclerosis. Acta Neuropathol Commun. 2019;7(1):205. https://doi.org/10.1186/s40478-019-0855-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  97. Luchetti S, Fransen NL, van Eden CG, Ramaglia V, Mason M, Huitinga I. Progressive multiple sclerosis patients show substantial lesion activity that correlates with clinical disease severity and sex: a retrospective autopsy cohort analysis. Acta Neuropathol. 2018;135(4):511–28. https://doi.org/10.1007/s00401-018-1818-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  98. Frischer JM, Weigand SD, Guo Y, Kale N, Parisi JE, Pirko I, Mandrekar J, Bramow S, Metz I, Brück W, Lassmann H, Lucchinetti CF. Clinical and pathological insights into the dynamic nature of the white matter multiple sclerosis plaque. Ann Neurol. 2015;78(5):710–21. https://doi.org/10.1002/ana.24497.

    Article  PubMed  PubMed Central  Google Scholar 

  99. Jäckle K, Zeis T, Schaeren-Wiemers N, Junker A, van der Meer F, Kramann N, Stadelmann C, Brück W. Molecular signature of slowly expanding lesions in progressive multiple sclerosis. Brain. 2020;143(7):2073–88. https://doi.org/10.1093/brain/awaa158.

    Article  PubMed  Google Scholar 

  100. Wegner C, Esiri MM, Chance SA, Palace J, Matthews PM. Neocortical neuronal, synaptic, and glial loss in multiple sclerosis. Neurology. 2006;67(6):960–7. https://doi.org/10.1212/01.wnl.0000237551.26858.39.

    Article  CAS  PubMed  Google Scholar 

  101. Kutzelnigg A, Lassmann H. Cortical lesions and brain atrophy in MS. J Neurol Sci. 2005;233(1–2):55–9. https://doi.org/10.1016/j.jns.2005.03.027.

    Article  PubMed  Google Scholar 

  102. Amato MP, Bartolozzi ML, Zipoli V, Portaccio E, Mortilla M, Guidi L, Siracusa G, Sorbi S, Federico A, De Stefano N. Neocortical volume decrease in relapsing-remitting MS patients with mild cognitive impairment. Neurology. 2004;63(1):89–93. https://doi.org/10.1212/01.wnl.0000129544.79539.d5.

    Article  CAS  PubMed  Google Scholar 

  103. Klineova S, Lublin FD. Clinical course of multiple sclerosis. Cold Spring Harb Perspect Med. 2018;8(9): a028928. https://doi.org/10.1101/cshperspect.a028928.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  104. Lublin FD, Reingold SC, Cohen JA, Cutter GR, Sørensen PS, Thompson AJ, Wolinsky JS, Balcer LJ, Banwell B, Barkhof F, et al. Defining the clinical course of multiple sclerosis: the 2013 revisions. Neurology. 2014;83(3):278–86. https://doi.org/10.1212/WNL.0000000000000560.

    Article  PubMed  PubMed Central  Google Scholar 

  105. Frischer JM, Bramow S, Dal-Bianco A, Lucchinetti CF, Rauschka H, Schmidbauer M, Laursen H, Sorensen PS, Lassmann H. The relation between inflammation and neurodegeneration in multiple sclerosis brains. Brain. 2009;132(Pt 5):1175–89. https://doi.org/10.1093/brain/awp070.

    Article  PubMed  PubMed Central  Google Scholar 

  106. Hauser SL, Cree BAC. Treatment of multiple sclerosis: a review. Am J Med. 2020;133(12):1380-1390.e2. https://doi.org/10.1016/j.amjmed.2020.05.049.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  107. Doinikow B. Über De- und Regenerationserscheinungen an Achsenzylindern bei der multiplen Sklerose. Z ges Neurol Psych. 1915;27:151–78.

    Article  Google Scholar 

  108. Ferguson B, Matyszak MK, Esiri MM, Perry VH. Axonal damage in acute multiple sclerosis. Brain. 1997;120:393–9.

    Article  PubMed  Google Scholar 

  109. Kuhlmann T, Moccia M, Coetzee T, Cohen JA, Correale J, Graves J, Marrie RA, Montalban X, Yong VW, Thompson AJ, Reich DS, International Advisory Committee on Clinical Trials in Multiple Sclerosis. Multiple sclerosis progression: time for a new mechanism-driven framework. Lancet Neurol. 2023;22(1):78–88. https://doi.org/10.1016/S1474-4422(22)00289-7.

    Article  PubMed  Google Scholar 

  110. Trapp BD, Peterson J, Ransohoff RM, Rudick R, Mörk S, Bö L. Axonal transection in the lesions of multiple sclerosis. N Engl J Med. 1998;338(5):278–85. https://doi.org/10.1056/NEJM199801293380502.

    Article  CAS  PubMed  Google Scholar 

  111. Kapica-Topczewska K, Collin F, Tarasiuk J, Czarnowska A, Chorąży M, Mirończuk A, Kochanowicz J, Kułakowska A. Assessment of disability progression independent of relapse and brain MRI activity in patients with multiple sclerosis in Poland. J Clin Med. 2021;10(4):868. https://doi.org/10.3390/jcm10040868.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  112. Del Negro I, Pez S, Gigli GL, Valente M. Disease activity and progression in multiple sclerosis: new evidences and future perspectives. J Clin Med. 2022;11(22):6643. https://doi.org/10.3390/jcm11226643.

    Article  PubMed  PubMed Central  Google Scholar 

  113. Radue EW, Barkhof F, Kappos L, Sprenger T, Häring DA, de Vera A, von Rosenstiel P, Bright JR, Francis G, Cohen JA. Correlation between brain volume loss and clinical and MRI outcomes in multiple sclerosis. Neurology. 2015;84(8):784–93. https://doi.org/10.1212/WNL.0000000000001281.

    Article  PubMed  PubMed Central  Google Scholar 

  114. Wang C, Barnett MH, Yiannikas C, Barton J, Parratt J, You Y, Graham SL, Klistorner A. Lesion activity and chronic demyelination are the major determinants of brain atrophy in MS. Neurol Neuroimmunol Neuroinflamm. 2019;6(5): e593. https://doi.org/10.1212/NXI.0000000000000593.

    Article  PubMed  PubMed Central  Google Scholar 

  115. Ostini C, Bovis F, Disanto G, Ripellino P, Pravatà E, Sacco R, Padlina G, Sormani MP, Gobbi C, Zecca C. Recurrence and prognostic value of asymptomatic spinal cord lesions in multiple sclerosis. J Clin Med. 2021;10(3):463. https://doi.org/10.3390/jcm10030463.

    Article  PubMed  PubMed Central  Google Scholar 

  116. Portaccio E, Bellinvia A, Fonderico M, Pastò L, Razzolini L, Totaro R, Spitaleri D, Lugaresi A, Cocco E, Onofrj M, et al. Progression is independent of relapse activity in early multiple sclerosis: a real-life cohort study. Brain. 2022;145(8):2796–805. https://doi.org/10.1093/brain/awac111.

    Article  PubMed  Google Scholar 

  117. Müller J, Cagol A, Lorscheider J, Tsagkas C, Benkert P, Yaldizli Ö, Kuhle J, Derfuss T, Sormani MP, Thompson A, et al. Harmonizing definitions for progression independent of relapse activity in multiple sclerosis: a systematic review. JAMA Neurol. 2023;80(11):1232–45. https://doi.org/10.1001/jamaneurol.2023.3331.

    Article  PubMed  Google Scholar 

  118. Lublin FD, Häring DA, Ganjgahi H, Ocampo A, Hatami F, Čuklina J, Aarden P, Dahlke F, Arnold DL, Wiendl H, et al. How patients with multiple sclerosis acquire disability. Brain. 2022;145(9):3147–61. https://doi.org/10.1093/brain/awac016.

    Article  PubMed  PubMed Central  Google Scholar 

  119. Leng F, Edison P. Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here? Nat Rev Neurol. 2021;17(3):157–72. https://doi.org/10.1038/s41582-020-00435-y.

    Article  PubMed  Google Scholar 

  120. Bersano A, Engele J, Schäfer MK. Neuroinflammation and brain disease. BMC Neurol. 2023;23(1):227. https://doi.org/10.1186/s12883-023-03252-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  121. Bittner S, Oh J, Havrdová EK, Tintoré M, Zipp F. The potential of serum neurofilament as biomarker for multiple sclerosis. Brain. 2021;144(10):2954–63. https://doi.org/10.1093/brain/awab241.

    Article  PubMed  PubMed Central  Google Scholar 

  122. Khalil M, Pirpamer L, Hofer E, Voortman MM, Barro C, Leppert D, Benkert P, Ropele S, Enzinger C, Fazekas F, et al. Serum neurofilament light levels in normal aging and their association with morphologic brain changes. Nat Commun. 2020;11(1):812. https://doi.org/10.1038/s41467-020-14612-6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  123. Zou H, Li R, Hu H, Hu Y, Chen X. Modulation of regulatory T-cell activity by TNF receptor type II-targeting pharmacological agents. Front Immunol. 2018;26(9):594. https://doi.org/10.3389/fimmu.2018.00594.

    Article  CAS  Google Scholar 

  124. Brown JWL, Coles A, Horakova D, Havrdova E, Izquierdo G, Prat A, Girard M, Duquette P, Trojano M, Lugaresi A, et al. Association of initial disease-modifying therapy with later conversion to secondary progressive multiple sclerosis. JAMA. 2019;321(2):175–87. https://doi.org/10.1001/jama.2018.20588.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  125. Bsteh G, Hegen H, Altmann P, et al. Retinal layer thinning is reflecting disability progression independent of relapse activity in multiple sclerosis. Mult Scler J Exp Transl Clin. 2020;6(4):2055217320966344. https://doi.org/10.1177/2055217320966344.

    Article  PubMed  PubMed Central  Google Scholar 

  126. Graf J, Leussink VI, Soncin G, et al. Relapse-independent multiple sclerosis progression under natalizumab. Brain Commun. 2021;3(4):fcab229. https://doi.org/10.1093/braincomms/fcab229.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  127. van Oosten BW, Barkhof F, Truyen L, Boringa JB, Bertelsmann FW, von Blomberg BM, Woody JN, Hartung HP, Polman CH. Increased MRI activity and immune activation in two multiple sclerosis patients treated with the monoclonal anti-tumor necrosis factor antibody cA2. Neurology. 1996;47(6):1531–4. https://doi.org/10.1212/wnl.47.6.1531.

    Article  PubMed  Google Scholar 

  128. Bosch X, Saiz A, Ramos-Casals M, BIOGEAS Study Group. Monoclonal antibody therapy-associated neurological disorders. Nat Rev Neurol. 2011;7(3):165–72. https://doi.org/10.1038/nrneurol.2011.1.

    Article  CAS  PubMed  Google Scholar 

  129. Fischer R, Kontermann RE, Pfizenmaier K. Selective targeting of TNF receptors as a novel therapeutic approach. Front Cell Dev Biol. 2020;8:401. https://doi.org/10.3389/fcell.2020.00401.

    Article  PubMed  PubMed Central  Google Scholar 

  130. Ribeiro CM, Oliveira SR, Alfieri DF, et al. Tumor necrosis factor alpha (TNF-α) and its soluble receptors are associated with disability, disability progression and clinical forms of multiple sclerosis. Inflamm Res. 2019;68(12):1049–59. https://doi.org/10.1007/s00011-019-01286-0.

    Article  CAS  PubMed  Google Scholar 

  131. Gholamzad M, Ebtekar M, Ardestani MS, et al. A comprehensive review on the treatment approaches of multiple sclerosis: currently and in the future. Inflamm Res. 2019;68(1):25–38. https://doi.org/10.1007/s00011-018-1185-0.

    Article  CAS  PubMed  Google Scholar 

  132. Piehl F. Current and emerging disease-modulatory therapies and treatment targets for multiple sclerosis. J Intern Med. 2021;289(6):771–91. https://doi.org/10.1111/joim.13215.

    Article  CAS  PubMed  Google Scholar 

  133. Prod’homme T, Zamvil SS. The evolving mechanisms of action of glatiramer acetate. Cold Spring Harb Perspect Med. 2019;9(2): a029249. https://doi.org/10.1101/cshperspect.a029249.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  134. Bar-Or A, Pachner A, Menguy-Vacheron F, Kaplan J, Wiendl H. Teriflunomide and its mechanism of action in multiple sclerosis. Drugs. 2014;74(6):659–74. https://doi.org/10.1007/s40265-014-0212-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  135. McGinley MP, Cohen JA. Sphingosine 1-phosphate receptor modulators in multiple sclerosis and other conditions [published correction appears in Lancet. 2021 Sep 25;398(10306):1132. 10.1016/S0140-6736(21)02050-X]. Lancet. 2021;398(10306):1184–94. https://doi.org/10.1016/S0140-6736(21)00244-0.

    Article  CAS  PubMed  Google Scholar 

  136. Liu C, Zhu J, Mi Y, Jin T. Impact of disease-modifying therapy on dendritic cells and exploring their immunotherapeutic potential in multiple sclerosis. J Neuroinflammation. 2022;19(1):298. https://doi.org/10.1186/s12974-022-02663-z.

    Article  PubMed  PubMed Central  Google Scholar 

  137. Nowak-Kiczmer M, Niedziela N, Czuba ZP, et al. A comparison of serum inflammatory parameters in progressive forms of multiple sclerosis. Mult Scler Relat Disord. 2023;79: 105004. https://doi.org/10.1016/j.msard.2023.105004.

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

This work was supported by #NEXTGENERATIONEU (NGEU) and funded by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), project MNESYS (PE0000006)—A multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022).

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, V.M. and M.C.; writing—original draft preparation, V.M.; writing—review and editing, F.C.; visualization, E.T.; M.G.; M.B.; S.Z.; F.V.; V.C.; D.M.; A.T.; supervision, M.C. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Massimiliano Calabrese.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mazziotti, V., Crescenzo, F., Turano, E. et al. The contribution of tumor necrosis factor to multiple sclerosis: a possible role in progression independent of relapse?. J Neuroinflammation 21, 209 (2024). https://doi.org/10.1186/s12974-024-03193-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12974-024-03193-6

Keywords