Abstract
Multiple sclerosis is a chronic immune mediated disease in which current disease modifying therapies reduce inflammatory relapses but incompletely address neurodegeneration and remyelination. Natural flavonoids are pleiotropic polyphenols that can modulate immune and glial signaling, oxidative stress, and mitochondrial function. This review synthesizes evidence from experimental models and human studies on flavonoids relevant to multiple sclerosis, emphasizing mechanisms involving NF-κB, Nrf2, inflammasome signaling, and microglia and macrophage polarization that shape oligodendrocyte precursor cell differentiation and remyelination permissiveness. We highlight structure activity features, metabolism and glycosylation that govern exposure, and discuss translational barriers including low and variable bioavailability, limited blood brain barrier penetration, standardization, and potential interactions with approved therapies. Emerging enabling strategies are reviewed, including lipid and polymeric nanocarriers, stimuli responsive delivery, systems biology and multi omics target discovery, network pharmacology for multi target prioritization, microbiome informed approaches, and synthetic biology for scalable production and derivative optimization. Overall, preclinical studies consistently support anti-inflammatory and neuroprotective effects, while clinical evidence remains early and mixed, underscoring the need for well powered trials with pharmacokinetic and pharmacodynamic endpoints.
Keywords: flavonoids, multiple sclerosis, neuroinflammation, pharmacology, remyelination
Graphical abstract
1. Introduction
Multiple sclerosis (MS) is one of the most complex and disabling neurological diseases of our time, with an unpredictable course and multiple symptoms that can affect millions around the world (1–3). This chronic autoimmune disease manifests through the immune system’s misguided attack on the central nervous system, leading to inflammation, demyelination, and subsequent neurological dysfunction (4). As medical science continues to grapple with the challenges of MS management, researchers have increasingly turned their attention to natural compounds that might offer novel therapeutic avenues. Among these, flavonoids, a diverse group of plant-derived polyphenolic compounds have emerged as particularly promising candidates for MS intervention (5–7). This structured narrative review summarizes current evidence on flavonoids in MS relevant experimental and human studies, with attention to mechanisms, translational barriers and future research needs.
2. Methodology
This review was prepared as a structured narrative review rather than a formal systematic review or meta-analysis. Literature searches were conducted from database inception to December 2025. Relevant literature was identified using PubMed, MEDLINE, Scopus, Web of Science, Google Scholar and ClinicalTrials.gov. Searches combined terms for multiple sclerosis and related models, including “multiple sclerosis”, “experimental autoimmune encephalomyelitis”, “EAE”, “cuprizone”, “demyelination” and “remyelination”, with terms for flavonoids and named compounds, including “flavonoid”, “flavonol”, “flavone”, “flavanone”, “isoflavone”, “anthocyanidin”, “flavanol”, “quercetin”, “EGCG”, “hesperidin”, “luteolin”, “rutin”, “baicalein”, “apigenin’, “kaempferol”, “genistein” and “naringenin”. Additional searches covered neuroinflammation, “NFκB”, “Nrf2”, “TLR MyD88”, “inflammasome”, “microglia”, “oligodendrocyte precursor cells”, “blood brain barrier”, “pharmacokinetics”, “metabolism”, “safety”, and “disease modifying therapy interactions”. We prioritized MS specific human studies, randomized controlled trials, EAE studies, cuprizone demyelination studies and relevant CNS, immune cell or blood brain barrier models. Studies from other neurological disease models or non-neurological systems were used only when they clarified mechanisms that could be relevant to MS, and these were described as indirect evidence. Because this article was designed as a structured narrative review, searches were iterative and topic driven rather than PRISMA based. Therefore, formal duplicate independent screening, a PRISMA flow diagram, and exact numerical screening counts were not generated. To improve transparency, studies were selected when they provided direct or mechanistic evidence relevant to flavonoids, flavonoid related compounds, MS, EAE, cuprizone demyelination, remyelination, neuroinflammation, oxidative stress, glial activation, blood brain barrier transport, pharmacokinetics, metabolism, safety, or interactions with disease modifying therapies.
Inclusion criteria were English language primary research or high-quality review articles reporting flavonoid or flavonoid related effects on MS, demyelination, neuroinflammation, oxidative stress, glial activation, remyelination, pharmacokinetics, metabolism, safety or blood brain barrier transport.
Exclusion criteria were studies without clear compound identity, studies with no mechanistic or translational relevance to MS, and non-MS studies used as direct evidence for clinical efficacy. Evidence was appraised narratively according to study type, MS specificity, model limitations, dose and route information, and outcome relevance.
3. Key players in MS onset and progression: the cellular and inflammatory landscape
3.1. Adaptive immune system: T and B cells in autoimmunity
The initiation of MS is primarily driven by autoreactive CD4+ T helper (Th) cells that recognize myelin-derived antigens presented by antigen-presenting cells (APCs) in peripheral lymphoid organs. The role of autoreactive CD4+ T cells mainly Th1 and Th17 cells have been intensively studied as major players in the disease pathogenesis. Th1 cells and their signatory proinflammatory cytokines, mainly interferon-gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-α), were reported to contribute to the activation of the antigen presenting cells and promoting BBB disruption through upregulation of adhesion molecules and matrix metalloproteinases (MMPs) (8, 9). These actions facilitate the infiltration of autoreactive immune cells into the CNS parenchyma, initiating focal inflammatory lesions. Th17 cells are characterized by their production of interleukin-17 (IL-17), IL-21 and IL-22 and are critical in the early phase of disease by inducing neutrophil recruitment and disrupting the integrity of the BBB (10, 11). IL-17 activates astrocytes and endothelial cells to produce chemokines (e.g., CXCL1, CXCL8) and inflammatory mediators, increasing local inflammation. Th17 cells show a higher tropism for the central nervous system due to the expression of chemokine receptors such as CCR6 that directs them to CCL20-expressing cells in the choroid plexus and meninges (12).
Active MS lesions also harbor many autoreactive CD8+ cytotoxic T lymphocytes (CTLs) that directly contribute to tissue destruction, in addition to CD4+ T cells. These cells detect antigen presented by MHC class I molecules on ODCs and neurons, resulting in perforin- and granzyme-mediated lysis of target cells (13). Their existence is strongly correlated with axonal damage and disease progression, especially in progressive types of MS. On the contrary, regulatory T cells (Tregs) responsible for maintaining immunological tolerance by suppressing autoreactive T cells through IL-10, TGF-β and CTLA-4 are commonly reduced in numbers or functionally impaired in MS patients (14, 15). Deficit in immunoregulation leads to uncontrolled activation of pathogenic T-cell subsets, which contribute to persistent autoimmunity.
B cells are not simply classical antibody producing cells but also important participants in the pathogenesis of MS. They are antigen presentation cells (APCs) and are highly efficient in activating myelin-reactive T lymphocytes through MHC class II and co-stimulatory molecules (e.g. CD80/CD86) (16). B cells also release proinflammatory cytokines such as IL-6 and granulocyte-macrophage colony-stimulating factor (GM-CSF) that promote Th1 and Th17 development and activation of myeloid cells (17). Plasma cells (derived from B cells) create oligoclonal IgG bands in the CNS, which are characteristic of intrathecal antibody production, and seen in >95% of MS patients by study of cerebrospinal fluid (CSF) (18). These antibodies might play a role in complement-mediated demyelination and opsonization of myelin debris.
3.2. Innate immunity: microglia, macrophages and astrocytes
The innate immune system is a major player in the start and persistence of CNS inflammation in MS. In MS lesions, resident microglia and infiltrating monocyte-derived macrophages are the main phagocytic cells and show plasticity in their phenotype that governs their activity. In acute and active lesions these cells acquire a proinflammatory M1 phenotype with generation of reactive oxygen species (ROS), inducible nitric oxide synthase (iNOS), IL-1β, TNF-α and IL-12 (19). IFN-γ and Toll-like receptor (TLR) signaling generate M1 polarization that causes demyelination, oxidative stress, and neuronal damage. Sustained M1 stimulation causes lesion growth and remyelination deficit. On the other hand, M2-polarized microglia/macrophages secrete anti-inflammatory chemicals such as IL-10, TGF-β, arginase-1 and CD206 and participate in tissue healing, debris clearance and stimulation of remyelination (20). They support the development of oligodendrocyte precursor cells (OPCs) and produce growth factors such as IGF-1 and neurotrophins. M1/M2 balance is a key predictor of illness outcome and microglial reprogramming is a viable therapeutic target.
Astrocytes were once assumed to be passive support cells, but are now known to actively influence neuroinflammation. They can be activated by cytokines (e.g., IL-1β, TNF-α) or danger signals to release a plethora of inflammatory mediators, including IL-6, CCL2 (MCP-1), and MMPs, that promote leukocyte recruitment and degradation of the extracellular matrix (21). In chronic MS, astrocytes are involved in the creation of glial scars, which constitute a physical and physiological barrier to axonal regeneration and remyelination (22). However, accumulating data supports neuroprotective roles of several astrocyte subsets, suggesting their functional heterogeneity. Other Immune Modulators are Dendritic Cells and Natural Killer Cells. Dendritic cells (DCs) are essential mediators of the interface between innate and adaptive immune responses. DCs can acquire antigens from the CNS (presumably translocated by meningeal lymphatic arteries) and transmit them to naive T cells in peripheral lymphoid organs to induce their priming and differentiation into pathogenic Th1/Th17 effectors (23). Additionally, DCs secrete IL-23, a cytokine involved in the maintenance of the Th17 phenotype. This suggests that NK cells have a dual role in MS. Some subsets (e.g., CD56bright) are regulatory, eliminating activated autoreactive T cells and DCs, while other subsets (e.g., CD56dim) can worsen inflammation through IFN-γ production (24). Altered NK cell function has been observed in MS patients, suggesting their involvement in immune dysregulation. The overall immune cells with their key modulators and its impact on MS were summarized in Figure 1.
Figure 1.
Key player immune cell and its signature cytokines and pathologic effect in MS disease progression.
3.3. Molecular signaling pathways in MS pathogenesis
At the molecular level, MS progression involves several interconnected signaling pathways regulating immune activation, glial responses, oxidative stress and tissue damage. The signaling pathways nuclear factor kappa B (NF κB), Janus kinase/signal transducer and activator of transcription (JAK/STAT), mitogen activated protein kinase (MAPK), phosphoinositide 3 kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR), nuclear factor erythroid 2 related factor 2 (Nrf2) and inflammasome are involved in the production of cytokines, differentiation of Th1 and Th17 cells, activation of glia, oxidative injury and failure of remyelination. These pathways do not act independently but create an interacting network linking peripheral immune activation to CNS inflammation and neurodegeneration (25–29). Flavonoids can impact multiple points in this network, so their pathway specific actions are discussed together in the integrated flavonoid signaling section.
4. Classification and mechanisms of current DMTs
Modern disease-modifying therapies (DMTs) for MS are broadly categorized based on their mechanisms of action, routes of administration, and efficacy profiles. These include immunomodulators, peripheral immune cell sequestrators, monoclonal antibodies, and immunosuppressants (Figure 2). Immunomodulators such as interferon-beta (IFN-β) and glatiramer acetate function by modulating immune cell behaviour without inducing broad immunosuppression. IFN-β, one of the earliest approved therapies (e.g., Avonex, Rebif, Betaseron), reduces inflammation by downregulating expression of MHC class II molecules, therefore, inhibiting T-cell activation, and decreasing BBB permeability (30, 31). Glatiramer acetate is a synthetic polymer that shares structural similarities with myelin basic protein and induces differentiation of anti-inflammatory Th2 and regulatory T (Treg) cells and inhibits Th1/Th17 responses (32, 33). Their clinical effect is limited despite their common use in relapsing-remitting MS (RRMS), with relapse rates decreasing by only 20–30% (34). Their tolerability is hampered by frequent injections and side effects such as flu-like symptoms (with IFN-β) and immediate post-injection reactions (with glatiramer). They do not prevent long-term disability progression.
Figure 2.
Mechanisms of current major disease-modifying therapy classes in multiple sclerosis management: (A) B-cell depletion therapies; (B) sphingosine-1-phosphate (S1P) receptor modulators; (C) T-cell differentiation modulators; (D) leukocyte trafficking blockade; (E) intracellular signaling inhibitors; and (F) Bruton's tyrosine kinase (BTK) inhibitors and microglial modulation.
A major advance has been the development of B-cell depleting therapies, which highlight the pathogenic role of B cells in MS. Ocrelizumab (Ocrevus) is a humanized anti-CD20 monoclonal antibody, authorized for RRMS and primary progressive MS (PPMS) (35). Other comparable medicines include subcutaneous ofatumumab (Kesimpta) and rituximab (36). Although these medicines are successful, they are associated with increased risk of infections, hypogammaglobulinemia and suboptimal vaccination responses and do not effectively target neurodegeneration. Immunosuppressants and cytotoxic agents (eg, alemtuzumab [Lemtrada], cladribine [Mavenclad]) have strong immunodepleting effects. Alemtuzumab is an anti-CD52 antibody and causes prolonged lymphocyte depletion followed by immunological reconstitution. Cladribine is a purine analogue that selectively depletes lymphocytes by apoptosis (37, 38). Risks of these agents include secondary autoimmunity, cancers, and infections. Their use is limited by rigorous monitoring requirements and patient selection criteria.
Oral sphingosine-1-phosphate (S1P) receptor modulators act by sequestering lymphocytes in lymph nodes and thereby reducing CNS infiltration. Fingolimod (Gilenya), the first oral DMT, binds to the S1P receptors (S1P1,3,5), resulting in internalization of the receptor and functional antagonism (39). Newer drugs, such as siponimod (Mayzent) and ozanimod (Zeposia), are more selective for the S1P1 and S1P5 receptors and have better safety profiles (40, 41). These medicines pose hazards such as bradycardia, macular oedema, hepatotoxicity and rare occurrences of progressive multifocal leukoencephalopathy (PML). Furthermore, they do not appreciably improve neuroprotection or remyelination. Monoclonal antibodies targeting immune cell trafficking, such as natalizumab (Tysabri), inhibit leukocyte migration across the BBB by blocking adherence of these cells to vascular endothelium through targeting alpha 4 integrin (ITGα4) (42). While natalizumab is highly effective (~70% relapse reduction), it carries a significant risk of PML, particularly in JC virus-seropositive individuals, and requires monthly intravenous administration with close monitoring.
Agents that modulate CD4 positive T cell differentiation and effector function constitute another major group of DMTs. Dimethyl fumarate and diroximel fumarate activate the nuclear factor erythroid 2 related factor 2 pathway and shift peripheral immunity away from pro inflammatory Th1 and Th17 responses toward a less inflammatory phenotype (43). This is accompanied by reduced production of cytokines such as IFN-γ and TNFα and relative enrichment of Th2 associated cytokines including IL-4, IL-5, IL-9, and IL-13 (44). IFN-β preparations and glatiramer acetate also act at the level of T cell differentiation, promoting regulatory and Th2 biased responses and decreasing trafficking of activated T cells into the central nervous system. These agents are generally considered safe and are widely used first line options, but their clinical efficacy is moderate and they are associated with adverse effects that include lymphopenia (45), gastrointestinal intolerance (46), flushing (44), flu like symptoms (47), and injection site reactions (48).
Therapies that directly limit leukocyte infiltration across the BBB act at another critical checkpoint in disease pathogenesis. Natalizumab is the prototypic agent in this category. This humanized monoclonal antibody binds alpha 4 integrin (ITGα4) on lymphocytes and monocytes, thereby blocking interaction with vascular cell adhesion molecule 1 (VCAM-1), on endothelial cells and preventing firm adhesion and transmigration into the central nervous system (42). Natalizumab is among the most effective approved DMTs, with substantial reductions in relapse rate and magnetic resonance imaging (MRI) activity, however its use is restricted by the risk of progressive multifocal leukoencephalopathy, particularly in individuals with antibodies to JC virus, and by the need for regular intravenous administration and intensive monitoring (49).
Agents that target intracellular signaling and neuroinflammatory pathways include teriflunomide, fumarates, Bruton tyrosine kinase inhibitors, and autologous hematopoietic stem cell transplantation. Teriflunomide inhibits dihydroorotate dehydrogenase, limiting de novo pyrimidine synthesis and thereby restricting proliferation of activated T and B lymphocytes (50). Older cytotoxic agents such as mitoxantrone, which intercalates DNA and inhibits topoisomerase II, provide broad suppression of proliferating immune cells but are now seldom used because of cumulative cardiotoxicity and risk of therapy related leukemia (51, 52). Experimental and early clinical data support the development of Bruton tyrosine kinase inhibitors as oral small molecules that modulate signaling in B cells and myeloid cells, including microglia, with the aim of attenuating chronic innate immune activation that drives compartmentalized inflammation and neurodegeneration within the central nervous system (53). In parallel, autologous hematopoietic stem cell transplantation seeks to reset the adaptive immune repertoire by ablating autoreactive lymphocyte clones and reconstituting a more tolerant immune system in carefully selected patients with aggressive disease (54, 55).
4.1. Key limitations of current DMTs
Despite their clinical utility, existing DMTs have several notable limitations. Most notably, they lack direct neuroprotective and remyelinating properties, focusing primarily on peripheral immune modulation. They do not sufficiently target the neurodegenerative aspect of MS, which is especially prominent in progressive forms of the disease (56, 57). Although some therapies such as ocrelizumab and siponimod have demonstrated modest benefits in progressive MS, the overall effect on disability progression is limited (18). Furthermore, the safety and tolerability profiles of DMTs are concerning, with risks including PML, secondary autoimmune disorder, cardiovascular effects and hepatotoxicity, requiring rigorous monitoring and often limiting patient adherence.
A further challenge is the highly variable individual response to DMTs, compounded by the lack of reliable predictive biomarkers. This variability translates into a trial-and-error approach to treatment selection (58). In addition, the high cost of DMTs limits access in many parts of the world, especially in low- and middle-income countries, worsening healthcare disparities. Routes of administration also influence adherence; injectable and infusion therapies are less convenient than oral options. Long term immune modulation can also impair host defence mechanisms, increasing infection susceptibility and complicating treatment sequencing, vaccination planning, and safety monitoring in people with MS.
4.2. The need for novel and complementary therapeutic strategies
Current DMT limitations highlight the urgent need for innovative therapeutics beyond immunosuppression to include neuroprotection, remyelination, mitochondrial support and immunological balance. Natural compounds such as flavonoids are being recognized for their multiple target, systems level mode of action. Differently from standard DMTs, flavonoids exert a simultaneous modulation of inflammation, oxidative stress, glial activation and regeneration signaling providing a more positive approach to MS treatment.
Flavonoids are a huge class of secondary metabolites that are found ubiquitously in fruits, vegetables, herbs and medicinal plants and are defined by their unique structure consisting of 15 carbon skeletons comprised of two benzene rings connected through a heterocyclic pyran ring (59, 60). This structural arrangement is responsible for not only their chemical stability, but also their vast spectrum of biological functions (61). Flavonoids are not only important for their antioxidant qualities, but also for their substantial influence on many physiological processes including regulation of gene expression, modulation of signal transduction and epigenetic alterations (62–64). These properties make flavonoids potential adjunct candidates for further MS research.
Flavonoids are of special interest in MS research because they can address multiple aspects of the disease at the same time (65). In contrast to classical pharmaceuticals that often target single routes or processes, flavonoids exert pleiotropic effects that are particularly well suited for the complex etiology of MS (5, 66). They influence immunological responses, reduce neuroinflammation, enhance neuroprotection and promote remyelination processes – all critical components in a comprehensive MS care (67). Moreover, their natural origin and typically positive safety profiles make them interesting alternatives or complements to conventional MS medications, which sometimes have severe side effects and limits (68).
Recent studies provide encouraging but uneven evidence that some flavonoid subclasses can modulate MS related inflammatory and repair pathways, mainly in experimental models. Special attention has been paid to glycosidic flavonoids, owing to their improved bioavailability and targeted delivery characteristics (69, 70). Table 1 summarizes selected flavonoids that modulate MS relevant inflammatory, oxidative stress and repair related pathways in experimental or clinical studies. Compounds such as quercetin, rutin and hesperidin has ability to regulating molecular pathways in the development of MS like the NF-κB signaling pathway and the PI3K/Akt/mTOR cascade (86–89). These data suggest that flavonoids can influence disease relevant pathways in experimental models; whether this translates into altered MS progression remains unproven. A particularly intriguing area in this quest involves exploring natural flavonoids, which opens up possibilities for treatments that are both effective and conform to the growing patient demand for more natural, general healthcare approaches. Flavonoids also have beneficial pharmacokinetic and safety profiles (90), with many being orally accessible and well tolerated over long periods of time (91). Their ability to modulate the gut-brain axis is another layer of systemic immune modulation. Overall, these findings support biological plausibility in MS relevant models, but clinical efficacy and disease modifying activity remain unconfirmed unless supported by human MS studies (71).
Table 1.
Summarizing findings of studies on various flavonoids and their potential effects in MS.
| Flavonoid name | Flavonoid subclass | Type of study | Dose, route, duration, timing | Key findings | Evidence level* | Ref |
|---|---|---|---|---|---|---|
| Quercetin | Flavonol | Preclinical studies | 50, 100 μg, I.P. route, every other day, for about 25 days | Reduced EAE severity and modulated gut brain axis related immune and metabolic pathways | MS specific preclinical evidence, mainly EAE and in vitro mechanistic evidence | (70) |
| Epigallocatechin-3-gallate (EGCG) | Flavanol | Clinical trials | Progressive MS: 1200 mg, Oral, daily for 36 months. Smaller RRMS study: 600 mg daily for 12 weeks | Nine clinical trials reviewed; Clinical trials of EGCG in MS show acceptable safety, but mixed or neutral effects on core MRI, relapse, disability and brain atrophy outcomes. | Human MS trial evidence | (71, 72) |
| Hesperidin | Flavanone | EAE mouse model | 50 mg/kg/day, S.C. route, for 7 days, started 14 days after EAE induction with MOG and pertussis toxin | Reduced disease severity, limited leukocyte infiltration into the CNS, decreased pro-inflammatory cytokines, and increased regulatory T cells | MS specific preclinical evidence, EAE | (73) |
| Luteolin | Flavone | EAE mouse (SJL) model | 35μM, 72 hours | Delayed onset and reduced severity of EAE, associated with decreased CNS inflammation and demyelination | MS specific preclinical evidence, EAE; additional in vitro immune cell evidence | (74) |
| Rutin | Flavonol | Cuprizone-induced demyelination mouse model | 50 or 100 mg/kg, oral route, given during 0.2 percent cuprizone feeding for 6 consecutive weeks | Improved motor coordination, reduced demyelination, decreased oxidative stress markers, and lowered pro-inflammatory cytokine levels | Preclinical demyelination and repair evidence, cuprizone | (75) |
| Flavocoxid | Flavonoid | EAE mouse model | 100 mg/kg, I.P. route, every other day, 14 days | Reduced clinical severity and modulation of Th1/Th17 differentiation | MS specific preclinical evidence, EAE | (76) |
| Baicalein | Flavone | Cuprizone-induced demyelination mouse model | 100 mg/kg, intraperitoneal route, once daily, during the last 2 weeks of cuprizone exposure, from week 4 to week 6 | Attenuated demyelination and suppressed neuroinflammation | Preclinical demyelination and repair evidence, cuprizone | (77) |
| Naringenin | Flavanone | Rotenone-induced neurotoxicity model | 0.125%, 0.5%, and 2.0% w/w in diet, 4 weeks before MOG immunization; continued as an 8-week dietary intervention | Neuroprotective effects against neurotoxicity. | MS specific preclinical evidence, EAE | (78) |
| Kolaviron | Biflavonoid | Review of pharmacological properties | not available, review article. | Multiple health benefits, including anti-inflammatory effects | Review level or indirect pharmacological evidence only | (79) |
| Silymarin | Flavonolignan | Clinical trials | 420 mg/day, oral, 6 months, given as adjunct treatment with interferon beta in RRMS patients | Antioxidant and anti-inflammatory properties, suggesting potential therapeutic benefits in MS | Adjunct human MS clinical evidence and immunomodulatory outcome, not established MS disease modifying evidence | (80) |
| Genistein | Isoflavone | EAE mouse model | Genistein 200 mg/kg, S.C. route, daily for 7 days, started 3 days after first clinical signs, around day 14 post immunization in established EAE | Reduced clinical severity, decreased pro-inflammatory cytokines, and promoted regulatory T cells | MS specific preclinical evidence, EAE | (81) |
| Daidzein | Isoflavone | EAE mouse model | 0.22 g/kg, Oral, for 6 weeks. | Delayed onset and reduced severity of EAE, associated with decreased CNS inflammation. | MS specific preclinical evidence, EAE | (82) |
| Apigenin | Flavone | EAE mouse model | 40 mg/kg, oral gavage, once daily, started at EAE onset and continued until day 15 | Ameliorated clinical symptoms, reduced inflammatory cell infiltration, and decreased demyelination. | MS specific preclinical evidence, EAE | (83) |
| Kaempferol | Flavonol | Cuprizone demyelination model | 40 µg/µL, intracerebroventricular, beginning of weeks 9 and 10 after 8 weeks of 0.2% w/w cuprizone feeding | Alleviated demyelination and microglial activation by inhibiting STAT3 and NFκB signaling | MS specific preclinical demyelination and repair evidence, cuprizone | (84) |
| Fisetin | Flavonol | Cuprizone demyelination model | 80 mg/kg/day, oral, daily for 4 weeks starting in the second week of cuprizone induced | Reduced ferroptosis related injury and promoted remyelination in the cuprizone model | MS specific preclinical demyelination and repair evidence, cuprizone | (85) |
Evidence level indicates whether the finding is based on human MS studies, EAE, cuprizone demyelination, in vitro systems, non MS neurological models, or indirect mechanistic evidence. Human MS studies are considered clinical evidence. EAE, cuprizone, in vitro, and non MS findings are considered preclinical or indirect evidence and should not be interpreted as confirmed disease modifying or remyelinating efficacy in people with MS.
4.3. Critical appraisal of strength and limitations of evidence
Flavonoids demonstrate consistent activity in experimental systems but the strength of evidence varies between compounds, models and outcomes. Most of the studies available use cell cultures, experimental autoimmune encephalomyelitis (EAE), cuprizone demyelination or other non-MS neuroinflammation models. These approaches are useful for testing immune, glial and oxidative stress mechanisms, but do not fully reproduce human MS. The induction of myelin reactive T cell immunity is the main effector of EAE. EAE is most useful for the study of inflammatory autoimmunity. Human MS is more complex, with B cells, CD8 T cells, compartmentalized CNS inflammation, cortical lesions, aging related repair failure and progressive neurodegeneration. The cuprizone model is valuable for the study of oligodendrocyte injury and remyelination, but as it is toxin driven and has limited peripheral adaptive immune involvement, positive results in this model primarily support effects on repair biology rather than proof of systemic MS immunotherapy.
Several experimental design issues also constrain translation. Many of the flavonoid studies use preventive dosing before or around MS induction, which is not representative of treatment of established MS. There is wide variation in doses, routes, treatment duration and formulations which makes comparison between studies difficult. Some studies are based primarily on clinical scores, cytokine levels or histology without pharmacokinetic data, measures of CNS exposure, long term disability outcomes or replication in independent laboratories. Reporting of randomization, blinding, power calculation and sex based analysis too is inconsistent. These issues bring in risk of bias and may lead to overestimation of efficacy, especially since negative or neutral preclinical findings are less likely to be published.
The clinical evidence is limited and mixed. Among the flavonoids discussed, EGCG has the most direct human data, but randomized studies have not demonstrated a clear benefit on core MS outcomes including MRI lesion activity, relapse rate, disability progression, or brain atrophy. Smaller studies may suggest effects on selected metabolic or symptom related measures but these findings should not be interpreted as evidence of disease modification. Evidence for quercetin, luteolin, apigenin, hesperidin, baicalein, naringenin and most other compounds is mainly preclinical or indirect. So clinical evidence should be distinguished from mechanistic plausibility. Thus, robust activity in cultured cells does not predict brain exposure or clinical efficacy. Future studies should employ standardized compounds, clinically relevant dosing, pharmacokinetic and pharmacodynamic endpoints, metabolite profiling, liver safety monitoring, sex and disease phenotype stratification, and clinically meaningful outcomes.
Accordingly, findings from EAE and cuprizone models are interpreted throughout this review as preclinical evidence supporting biological plausibility rather than as evidence of clinical efficacy in human MS. Clinical validation is considered present only when supported by studies conducted in people with MS. To make this distinction clearer, the revised manuscript separates evidence derived from in vitro systems, EAE studies, cuprizone demyelination models, other neurological or inflammatory models, and human MS trials. At present, EGCG has the most direct human MS evidence among the flavonoids discussed, although available clinical findings remain mixed. Most other compounds are supported mainly by preclinical, indirect or mechanistic evidence. To further compare translational relevance, selected flavonoids are ranked in Table 2 according to MS specific evidence, relative preclinical efficacy, availability of human data, oral bioavailability, likely CNS exposure, safety considerations and therapeutic limitations. This ranking should not be interpreted as proof of clinical efficacy, because direct head to head clinical trials in people with MS are not available. Instead, it provides a practical framework for identifying candidates that may deserve priority in future pharmacokinetic and clinical studies.
Table 2.
Comparative ranking of selected flavonoids according to translational promise in MS.
| Rank* | Candidate | MS evidence and relative efficacy | BBB and CNS exposure | Therapeutic potential | Main limitation | Refs |
|---|---|---|---|---|---|---|
| 1 | EGCG | Most direct human MS evidence. Safe in trials, but no clear benefit on MRI lesions, relapse rate, disability or brain atrophy. | Limited and metabolite dependent CNS exposure. | Highest clinical readiness as an adjunct candidate. | Neutral clinical outcomes. Liver monitoring is needed at high supplemental doses. | (92–94) |
| 2 | Quercetin | Strong preclinical and mechanistic evidence in EAE and in vitro systems. Modulates inflammatory, oxidative stress and possible repair pathways. | Likely low to moderate and mainly metabolite dependent. | High mechanistic priority for future adjunct studies. | No robust human MS trial evidence. Circulating metabolites differ from free compound used in cell culture. | (70, 286) |
| 3 | Luteolin | Positive EAE and immune cell evidence. Targets inflammatory signaling and glial activation. | Possible CNS entry because of lipophilicity, but human CNS exposure is uncertain. | Moderate to high priority for immune and glial modulation. | Mainly preclinical evidence. | (74, 95) |
| 4 | Baicalein | Promising cuprizone and neuroinflammation data. Supports possible remyelination and barrier protective activity. | Preclinical CNS effects suggest possible exposure, but human MS exposure is unclear. | Moderate to high priority for repair focused studies. | No human MS trials. Strong dependence on model type. | (77, 96–98) |
| 5 | Hesperidin | EAE evidence supports reduced disease severity, lower CNS infiltration and cytokine modulation. | Uncertain and likely formulation dependent. | Moderate priority as a safe oral adjunct candidate. | Limited MS specific data and unclear CNS target engagement. | (73, 99) |
| 6 | Apigenin | Preclinical evidence supports reduced inflammatory infiltration and demyelination. | Possible but not well quantified in MS settings. | Moderate mechanistic value. | No clinical MS evidence and limited pharmacokinetic support. | (83, 100, 101) |
| 7 | Rutin | Cuprizone evidence suggests improved motor function, reduced demyelination and lower oxidative stress. | Likely limited passive CNS entry. | Moderate to low priority unless delivery is improved. | Evidence mainly from repair models and low CNS delivery confidence. | (75, 102) |
| 8 | Kaempferol | EAE evidence suggests reduced disease severity and cytokine modulation. | Uncertain and metabolite dependent. | Moderate early-stage candidate. | Mainly preclinical evidence and limited MS specific pharmacokinetic data. | (84, 103) |
Ranking reflects translational promise, not proven clinical efficacy. The score considers MS specific evidence, consistency of preclinical findings, human data, oral bioavailability, likely CNS exposure, safety and feasibility for future clinical testing.
5. Systematic classification and structure-activity relationships of flavonoids
Flavonoids are a vast group of structurally diverse plant secondary metabolites, typically grouped into many major sub-classes based on their chemical structures and biosynthesis processes (104, 105). The most important classes include flavonols, flavones, flavanones, isoflavones, anthocyanidins, and flavanols with their characteristic structural characteristics and substitution patterns. Flavonols such as quercetin and kaempferol are based on a 3-hydroxyflavone skeleton with varying degrees of hydroxylation and methoxylation at positions 3, 5, 7, 3’ and 4’ (106–109). Flavones (e.g., apigenin and luteolin) do not have the 3-hydroxyl group but may have comparable substitutions, while flavanones (e.g., naringenin and hesperetin) have a saturated C-ring which influences their conformational flexibility and bioactivity (110–112).
Glycosylation significantly affects flavonoid variety and activity, resulting in glycosidic derivatives with increased water solubility and metabolic stability (113, 114). This modification is frequently at the 3-, 5- or 7-position of the flavonoid core, leading to the formation of O-glycosides by ether bonds and C-glycosides by carbon-carbon bonds. These glycosidic changes are known to be important for bioavailability, tissue distribution and receptor binding affinity (115). Sugar moieties can increase intestine uptake by active transport mechanisms, and also protect the aglycone against fast metabolism and excretion (116). Some glycosidic arrangements have also been identified in recent studies associated with improved capacity to pass the BBB, an important factor for neurological applications like MS therapy (117, 118).
The pharmacological importance of these structural aspects is particularly evident in view of their effects on MS-relevant pathways. Catechol B-ring-flavonoids have an increased potential to inhibit pro-inflammatory mediators such as cyclooxygenase-2 (COX-2) and inducible nitric oxide synthase (iNOS), while maintaining neuroprotective properties by activation of Nrf2 signaling (119). Some glycosidic flavonoids, especially those with C-glycosidic links, are very resistant to breakdown by β-glucosidase, allowing continuous release of active metabolites in target tissues (120, 121). This property is particularly advantageous in chronic disease such as MS when long-term treatment exposure is crucial for disease change.
6. Therapeutic goals and major molecular, cellular, and process-oriented targets in MS
A growing knowledge of MS as a dynamic interplay of autoimmune dysregulation, persistent neuroinflammation, demyelination and progressive neurodegeneration has changed the therapeutic goals. The current management strategies for MS have evolved beyond the classical immunosuppression to a multifaceted approach, addressing disease activity arrest, CNS repair promotion, and neurological function protection. The key therapeutic aims in MS are a number of interlinked targets. First and foremost, reduction of the autoimmune activation is essential to block the initial immunological responses that lead to the CNS inflammation mainly by the modulation of autoreactive CD4+ and CD8+ T cells, suppression of B cell activity and prevention of immune cell trafficking across the BBB (8, 9). Secondly, neuroprotection and prevention of neurodegeneration are focused on the later phases of the disease where oxidative stress, mitochondrial malfunction and excitotoxicity produce irreversible neuronal damage (57, 58). Third, OPCs must differentiate and mature to stimulate remyelination and myelin repair, which are essential for restoring neuronal conductivity and functional recovery (122).
Fourth, phenotypic conversion of glial cells, especially microglia and astrocytes from a pro-inflammatory (M1/A1) phenotype to an anti-inflammatory and neuroprotective (M2/A2) phenotype, is critical to resolve chronic inflammation and enhance tissue regeneration (20, 123). Fifthly, restoration of immunological homeostasis is becoming essential, through enhancement of regulatory T cell (Treg) function and generation of anti-inflammatory cytokines without global immunosuppression (14, 15). Sixth, BBB integrity enhancement is to stabilize tight junction proteins and suppress matrix metalloproteinase (MMP) activity to prevent the admission of peripheral immune cells (10, 124). Finally, targeting the gut-brain axis and microbiome has emerged as a novel therapeutic goal, with therapies targeted at restoring healthy microbial composition, boosting mucosal immunity, and indirectly modifying neuroinflammation (125, 126).
At the molecular level, therapeutic targets in MS include inflammatory signaling, oxidative stress responses, inflammasome activation, glial phenotype switching, oligodendrocyte survival and remyelination pathways. To avoid repetition, the flavonoid related modulation of NF κB, TLR/myeloid differentiation factor 88 (MyD88), JAK STAT, Nrf2, MAPK and inflammasome signaling (127–133) is discussed together in the integrated signaling section. Therapeutic treatments at the cellular level target modulation of important immunological and glial populations. CD4+ T helper cells (Th1/Th17) are important mediators of neuroinflammation, secreting IFN-γ and IL-17, respectively, and their inhibition is a major component of immunomodulatory therapy (10, 11). CD8+ cytotoxic T lymphocytes mediate axonal damage through direct cytotoxic pathways and are especially relevant in progressive MS (13). B cells and plasma cells are not only antibody-secreting cells but also participate in antigen presentation and cytokine generation, and their reduction has shown considerable therapeutic efficacy (17, 18). Microglia and macrophages are polarized into M1 (pro-inflammatory) and M2 (pro-repair) phenotypes, and the promotion of M2 states provides a mechanism of resolving inflammation (19, 20). Astrocytes are also capable of developing A1 neurotoxic or A2 neuroprotective characteristics and reprogramming them is emerging as a therapeutic target (21, 22). Lesions contain OPCs that typically fail to develop and are therefore prime targets for remyelination techniques (134). Regulatory T cells that are normally dysfunctional in MS may be possible agents for restoring immunological tolerance when properly enlarged or activated (14, 15).
In a broader sense, therapeutic objectives include biological processes beyond discrete molecules and cells, where oxidative stress and mitochondrial malfunction are significant contributions to dementia, and antioxidants and mitochondrial stabilizers are topics of study (58, 135). Besides epigenetic regulation (e.g. DNA methylation and histone modification) may also affect immune cell activation and gene expression in CNS, which provides other approaches of modulation such HDAC inhibitors and related drugs (136, 137). Autophagy and proteostasis are critical for brain health and the improvement of these processes has potential to treat protein aggregation and cell death (138, 139). Axonal transport and cytoskeletal integrity are compromised in MS and neuroprotective compounds that stabilize microtubules and inhibit calpain-mediated degradation are under development (140, 141). Finally, gut-brain-axis signaling by way of microbial metabolites such as short-chain fatty acids can influence immune responses in the peripheral system and the CNS (125, 126).
7. Flavonoids’ anti-inflammatory properties in multiple sclerosis pathology
The anti-inflammatory properties of flavonoids are remarkably precise in targeting the complex inflammatory cascades that are central to MS pathology. At the molecular level, flavonoids exert their effects through multiple interconnected mechanisms, starting with modulation of NF-κB signaling, one of the master regulators of inflammation in MS. Specific flavonoid subclasses, especially flavones and flavonols, directly inhibit IκB kinase (IKK) activity, thereby preventing phosphorylation and subsequent degradation of IκBα (142). This intervention effectively sequesters NF-κB dimers in the cytoplasm, blocking their translocation to the nucleus and the subsequent transcription of pro-inflammatory genes including TNF-α, IL-1β, and IFN-γ. Importantly, glycosylated derivatives of apigenin and luteolin show enhanced potency in this regard, achieving significant suppression of inflammatory cytokine production at nanomolar concentrations (143).
In addition to the modulation of NF-κB, flavonoids also target multiple other pathways crucial for the regulation of neuroinflammation in MS. The JAK/STAT pathway, which is hyperactivated in MS patients, is another important target. Chrysin and its glycosidic derivatives specifically inhibit JAK2 phosphorylation, preventing the activation of STAT3 and the subsequent upregulation of genes involved in T-cell activation and differentiation (144). This mechanism is particularly pertinent to the suppression of the development of Th17 cells, a key driver of MS pathogenesis. Concurrently, some flavonoids activate suppressor of cytokine signaling (SOCS) proteins, thereby providing an additional layer of negative feedback regulation on JAK/STAT signaling (145).
Oxidative stress constitutes another critical facet of MS pathology wherein flavonoids exhibit potent protective effects. Beyond direct antioxidant activity, flavonoids modulate redox-sensitive signaling cascades implicated in neuroinflammation (146). Nrf2 activation by certain flavonoid subclasses results in enhanced expression of antioxidant response element (ARE)-regulated genes including heme oxygenase-1 (HO-1) and NAD(P)H quinone dehydrogenase 1 (NQO1) (147). The spatial and temporal regulation of these anti-inflammatory effects indicates sophisticated orchestration of distinct flavonoid mechanisms. For example, the early phase of flavonoid action features rapid suppression of acute inflammatory mediators via direct enzyme inhibition and receptor antagonism. Later phases involve longer-term epigenetic changes including histone deacetylase (HDAC) inhibition and DNA methyltransferase (DNMT) modulation which contribute to reprogramming inflammatory gene expression patterns (148, 149). Clinical relevance of these mechanisms becomes evident when considering the differential effects of various flavonoid subclasses on specific MS subtypes. RRMS patients responds particularly well to flavonoids targeting NF-κB and MAPK pathways due to their prominent role in relapse-associated inflammation (150). By contrast, progressive forms of MS benefit more from flavonoids that modulate mitochondrial function and promote neuroprotection via Nrf2 activation and mTOR inhibition (6).
The ability of flavonoids to target these multiple anti-inflammatory pathways is what makes them so remarkably versatile in targeting the complex immunopathology of MS. Flavonoids do not target single components of the inflammatory cascade, but instead, they interact with multiple nodes in the network to achieve effects that enhance their overall therapeutic impact. This multi pathway activity provides a useful mechanistic rationale for further study, but whether it leads to sustained clinical benefit in MS remains unproven and requires stronger human evidence. These anti-inflammatory mechanisms are supported mainly by preclinical and mechanistic evidence. They should be interpreted as pathway level support for biological plausibility rather than proof of clinical efficacy in people with MS.
8. Key pathways implicated in multiple sclerosis pathogenesis
Two key pathways implicated in MS pathogenesis the TLR/MyD88 pathway and the NF-κB pathway (Figure 3) have emerged as potential targets for flavonoid-mediated intervention.
Figure 3.
Integrated inflammatory and redox signaling pathways targeted by flavonoids in MS relevant models. TLR2 and TLR4 activation recruits MyD88 and downstream IRAK TRAF6 TAK1 signaling, leading to NF κB and MAPK activation and increased production of IL 1β, IL 6, TNF α and other inflammatory mediators.
8.1. Flavonoids and TLR/MyD88 pathway
The TLR/MyD88 signaling pathway plays a pivotal role in initiating and sustaining inflammatory responses in MS. Some TLRs, in particular TLR2 and TLR4, are over-expressed in MS patients and in EAE models, playing a role in the progression of the disease by promoting the production of pro-inflammatory cytokines and the differentiation of Th17 cells (151). MyD88, a critical adaptor protein downstream of most TLRs, activates the NF-κB and mitogen-activated protein kinase (MAPK) pathways which culminate in the production of inflammatory mediators, such as IL-1β, IL-6 and TNF-α (152). Flavonoids such as quercetin and EGCG have been demonstrated to control this quite well. Quercetin suppresses TLR4 signaling by preventing the binding of MyD88 with IRAK1, leading to decreased activation of NF-κB and MAPK pathways (153). In the same vein, EGCG, one of the major catechins present in green tea, decreases the expression of TLR4 and MyD88-dependent signaling and thereby reduces the production of pro-inflammatory cytokines in EAE models (154). These data demonstrate that flavonoids could suppress neuroinflammation through the TLR/MyD88 pathway, representing a potential strategy to the treatment of MS. In addition to quercetin and EGCG, several flavonoids modulate the TLR4 MyD88 signaling pathway, notably genistein reduces EAE severity while altering the spinal cord Toll like receptor, and it directly suppresses microglial TLR4 MyD88 signaling by limiting LPS TLR4 engagement and downstream NF-κB activation (155, 156). Also, baicalin improves symptoms and tissue damage in EAE and directly blocks the CD14-dependent TLR4–MyD88–NF-κB signaling pathway in models of CNS inflammation (96, 97). Similarly, Nobiletin attenuates EAE through limiting Th17 differentiation and related cytokines, and a nobiletin derivative has been shown to downregulate TLR4 MyD88 MAPK signaling and STAT3 activation in microglia, supporting mechanism-based convergence on this axis (157, 158). These findings are mainly derived from EAE, CNS inflammation, or mechanistic models.
8.2. Flavonoids and NF-κB pathway
NF-κB is a major transcription factor that controls inflammatory genes and is overactive in MS patients, causing higher levels of pro-inflammatory cytokines and chemokines (159, 160). Activation of NF-κB in microglia, astrocytes and infiltrating immune cells exacerbates neuroinflammation and promotes demyelination (161). NF-κB signaling is also required for development and activity of Th1 and Th17 cells that are significant players in MS pathophysiology (162, 163). Flavonoids are potent inhibitors of the NF-κB pathway. Curcumin is a polyphenolic curcuminoid from turmeric, which suppresses NF-κB activation by inhibiting phosphorylation and degradation of IκBα, and consequently nuclear translocation of p65 and p50 subunits (164). Curcumin administration dramatically reduced clinical ratings and infiltration of inflammatory cells into the central nervous system in EAE models, indicating its therapeutic potential (165). Another flavonoid, apigenin, was proven to inhibit NF-κB signaling and downregulate IL17A and IL23, thus inhibiting Th17-mediated inflammation (100). These findings show that these flavonoids are able to alter NF-κB signaling, which can be a possible strategy to alleviate symptoms of MS. These observations support mechanistic relevance of NF κB modulation, but clinical benefit in people with MS remains unproven.
9. Neuroprotective effects of flavonoids in multiple sclerosis: cellular and molecular mechanisms
Flavonoids mediate neuroprotection in MS through complex interactions with neuronal cells, glial cells and the wider neurovascular unit. At a cellular level, certain subclasses of flavonoids display a high degree of specificity in the activation of survival pathways while also suppressing neurodegenerative processes (Figure 4). For example, glycosylated derivatives of baicalein and wogonin activate PI3K/Akt signaling in OPCs specifically, promoting their differentiation into mature myelinating oligodendrocytes. This is accomplished by directly binding to insulin-like growth factor-1 receptor (IGF-1R) and platelet-derived growth factor receptor alpha (PDGFRα), which then activates downstream signaling cascades that promote OPC survival and proliferation (166, 167).
Figure 4.
Cellular and molecular mechanisms of flavonoid-induced neuroprotection in MS (Preclinical evidence). Flavonoids target several CNS pathways that are involved in MS pathology: (A) PI3K–Akt activation through IGF-1R and PDGFRα promotes neuroprotection by inducing differentiation of oligodendrocyte precursor cells (OPCs) and reducing microglial activation. (B) Flavonoids modulate astrocytes by increasing the levels of neurotrophic factors (BDNF, GDNF) and CREB phosphorylation, which enhances neurotrophic support and reduces astrogliosis. (C) Flavonoids protect mitochondria by stimulating PGC1α-dependent mitochondrial biogenesis, which improves ATP production, oxidative metabolism and resistance to metabolic stress. (D) Flavonoids protect axons by stabilizing microtubules, maintaining the distribution of sodium channels and attenuating calpain-mediated axonal degeneration, in part via the activation of heat shock proteins (HSP).
Another significant element of flavonoid-mediated neuroprotection is regulation of astrocytes. Orientation and its glycosidic derivatives promote astrocytic production of brain derived neurotrophic factor (BDNF) and glial cell line derived neurotrophic factor (GDNF) through cyclic AMP response element-binding protein (CREB) phosphorylation (168). These neurotrophic factors increase neuronal survival and stimulate axonal regeneration and prevent the neurodegenerative processes typical of progressive MS. Critically, the efficiency by which these flavonoids penetrate the BBB is dictated by their glycosylation pattern, with C-glycosides demonstrating better BBB penetration compared to O-glycosides (116).
Flavonoid intervention is particularly aimed at mitochondrial dysfunction, a hallmark of MS pathology. Scutellarin and its derivatives have unique capabilities in mitochondrial membrane stabilization, permeability transition pore opening blocking and ATP production preservation. These effects are achieved through different mechanisms including direct interaction with mitochondrial permeability transition pore components, up-regulation of factors involved in mitochondrial biogenesis such as peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α) and increasing the efficiency of oxidative phosphorylation (169). To keep the neural energy supply intact and to avoid excitotoxicity-induced cell death, mitochondrial function must be maintained.
The most clinically significant part of flavonoid neuroprotection in MS may be axonal protection. In example, vitexin derivatives have been found to be effective in maintaining axonal integrity through several routes (170). These methods include direct binding to tubulin to stabilize microtubule networks, inhibition of calpain-mediated spectrin degradation and maintenance of Na channel distribution along axonal membranes. Additional flavonoids promote the expression of heat shock proteins (HSPs) in neurons and so improve defense against proteotoxic stress and promote correct protein folding during inflammatory episodes (171). Flavonoid intervention provides full support to the neurovascular unit comprising endothelial cells, pericytes, astrocytes and neurons. Flavonoids improve the integrity of the BBB by numerous mechanisms, such as increased expression of tight junction proteins (claudin-5, occludin) and regulation of matrix metalloproteinase (MMP) activity (172). This vascular protection is especially critical to avoid immune cell invasion and preserve CNS homeostasis. Furthermore, flavonoids increase angiogenesis and vascular remodeling through the regulation of the vascular endothelial growth factor (VEGF) pathway, ensuring sufficient nutrition and oxygen delivery to the afflicted brain areas (173).
Emerging evidence suggests that epigenetic control is a critical mechanism driving flavonoid mediated neuroprotection relevant to MS, where persistent neuroinflammation and oxidative stress may promote maladaptive transcriptional patterns. Specific flavonoid subclasses such as methoxylated flavones including wogonin may influence class I histone deacetylase pathways that are core components of HDAC repression complexes, supporting chromatin level remodeling and altered gene expression patterns (174). Such transcriptional reprogramming agrees with downstream effects on antioxidant and synaptic plasticity related pathways in the central nervous system (175). Flavonoids also modulate non coding RNA networks including microRNAs associated with neuronal survival and regeneration. For example, quercetin can regulate microglia derived exosomal microRNA cargo such as let 7e 5p, with downstream effects on neural stem cells and hippocampal neurogenesis (176).
Synaptic plasticity and cognitive preservation are particularly relevant in MS, given the substantial burden of cognitive impairment (177). Consistent with a pro plasticity profile, brain available quercetin conjugates such as quercetin 3 O glucuronide have been shown to rescue basal synaptic transmission deficits and long-term potentiation in hippocampal slices from a transgenic mouse model (178). These neuroprotective mechanisms are supported mainly by preclinical, in vitro, and indirect neurological evidence. They provide mechanistic rationale for further study but do not establish neuroprotective efficacy in people with MS.
10. Flavonoids can promote microglial M2 activation
Microglial cells, the resident immune cells of the central nervous system, respond to flavonoid treatment through complex polarization dynamics such as shifting M1 (proinflammatory) to M2 (anti-inflammatory) which results in neuroprotective effect (Figure 5). Flavonoids such as isovitexin and the flavanone naringenin shift activated microglia from a classical M1 profile toward an alternative M2 state, with reduced inducible nitric oxide synthase and pro inflammatory cytokines together with increased arginase 1 and IL-10, through activation of CaMKKβ AMPK PGC 1α and modulation of MAPK signaling respectively (179). Naringenin also suppresses the NLRP3 inflammasome in microglia, limiting IL-1β and IL-18 release in in vitro and in vivo models (180). Baicalin further restrains microglia driven inflammation by suppressing NLRP3 together with TLR4 NF-κB signaling, while quercetin promotes mitophagy to lower mitochondrial reactive oxygen species and thereby attenuate NLRP3 activation in microglia (181, 182). The resulting M2 biased microglial phenotype supports debris clearance and fosters oligodendrocyte progenitor differentiation and remyelination, processes that are central to lesion repair in demyelinating disease (183).
Figure 5.
Flavonoid modulation of microglial phenotype and repair permissiveness in MS preclinical models (Preclinical evidence). Pro inflammatory M1 like microglia produce iNOS, TNF α, IL 1β, IL 6 and reactive oxygen species, which support demyelination, axonal injury and inflammasome activation.
The flavonoid glycoside rutin has been shown to alter microglial and macrophage activation toward an anti-inflammatory CD150/CD206 M2 phenotype, suggesting a potential involvement in neuroinflammatory control (102). Similarly, a greater diversity of plant-derived flavonoids can alter macrophage polarization from the pro-inflammatory M1 phenotype to the anti-inflammatory M2 phenotype, thereby helping to maintain immunological homeostasis (184). Flavonoids regulate oxidative stress and gut microbiota, which is of therapeutic potential through mechanisms such as superoxide dismutase activation and epithelial barrier repair (185). Inhibition of histone deacetylase (HDAC) and activation of p38 MAPK by these further confirm their roles in immune modulation and illness management. Table 3 summarizes flavonoids reported to promote M2 like microglial activation in preclinical or mechanistic systems. These findings support repair related biological plausibility but do not establish clinical efficacy in MS.
Table 3.
List of flavonoids that promote microglial M2 activation.
| Flavonoid | Dietary sources | Mechanism of M2 activation | Reference |
|---|---|---|---|
| Quercetin | Apples, onions, berries, tea | Modulates NF-κB and STAT6 pathways; increases IL-10 and TGF-β production. | (186) |
| Luteolin | Celery, parsley, green peppers, chamomile tea | Inhibits pro-inflammatory cytokines (TNF-α, IL-6); upregulates arginase-1 and IL-4. | (95) |
| Apigenin | Chamomile, celery, parsley | Activates PPARγ pathway; suppresses M1 markers; enhances CD206 and YM1 expression. | (101) |
| Baicalein | Scutellaria baicalensis (Chinese skullcap) | Reduces oxidative stress; promotes anti-inflammatory genes via AMPK/Nrf2 pathway. | (98) |
| EGCG | Green tea | Modulates TLR4/NF-κB pathway; enhances IL-10 production. | (187) |
| Naringenin | Citrus fruits (grapefruit, oranges) | Activates PI3K/Akt/mTOR pathway; increases Arg1 and Fizz1 expression. | (180) |
| Kaempferol | Kale, beans, spinach, broccoli | Inhibits JAK/STAT1 pathway; enhances STAT6 pathway; promotes M2 polarization. | (103) |
| Hesperidin | Citrus fruits (oranges, lemons) | Modulates MAPK and NF-κB pathways; reduces neuroinflammation. | (99) |
| Rutin | Buckwheat, apples, citrus fruits | Scavenges ROS; upregulates anti-inflammatory mediators. | (102) |
| Myricetin | Berries, grapes, walnuts | Inhibits pro-inflammatory cytokines; enhances M2-associated gene expression. | (188) |
| Cyanidin | Red berries (cherries, raspberries, blackberries) | Activates AMPK pathway; reduces inflammatory responses in microglia. | (189) |
| Genistein | Soybeans, legumes | Modulates estrogen receptor signaling; suppresses pro-inflammatory pathways. | (190) |
11. The role of flavonoids in multiple sclerosis recovery
In MS, remyelination of damaged myelin sheaths has emerged as a critical therapeutic goal that can result in functional recovery and disease stabilization. Flavonoids have emerged as potent agents in promoting remyelination across cellular and molecular levels, beginning with direct stimulation of OPCs to enhance proliferation, migration, and differentiation into mature myelinating oligodendrocytes (Figure 6). Icaritin simultaneously increases OPC proliferation and differentiation and augments myelin formation in the cuprizone model (191) (Figure 7A). Baicalin directly promotes central nervous system remyelination via PPARγ signaling and promotes oligodendrocyte maturation in complementary in vivo and in vitro systems (192). Baicalein improves motor and cognitive outcomes and promotes remyelination in a MS model via antioxidant mechanisms that maintain mitochondrial function and promote oligodendrocyte lineage development (193) (Figure 7B). Scutellarin alleviates cuprizone induced demyelination by improving mitochondrial dysfunction in microglia and reducing inflammatory signaling, thereby creating a favourable environment for myelin repair (194) (Figure 7C).
Figure 6.
A conceptual pathway that shows how dietary flavonoids are transformed by the microbiota into immune modulation, and reaches the CNS to influence MS pathology.
Figure 7.
Schematic overview illustrating the neuroprotective and pro-remyelinating actions of selected flavonoids in MS models (Preclinical evidence). (A) Icariin enhances OPC recruitment, proliferation, and differentiation, supporting oligodendrocyte lineage expansion. (B) Baicalin exerts anti-inflammatory and antioxidant effects by shifting the cytokine balance toward anti-inflammatory mediators (↑TGF-β, ↑IGF-1) while suppressing pro-inflammatory signaling (↓miR-155), and promotes remyelination and motor–cognitive recovery. Baicalin upregulates pro-myelinating microRNAs miR-219 and miR-338 that drive OPCs differentiation and myelin gene expression. (C) Scutellarin promotes a pro-myelination environment in the extracellular matrix by restoring the MMP–TIMP balance (↓MMPs, ↑TIMPs) and reinforcing BBB integrity through increased tight junction proteins (e.g., claudin-5), protecting BBB structure and limiting neuroinflammation. Together, these flavonoids work through complementary cellular, molecular, epigenetic, and barrier-protective mechanisms to support myelin repair in MS. (D) EGCG modulates epigenetic regulation of myelination by inhibiting DNA methyltransferases and histone deacetylation, leading to chromatin relaxation, reactivation, and epigenetic upregulation of myelin-associated genes, thereby facilitating remyelination in cuprizone-induced demyelination models.
At the molecular level, flavonoids have interactions with myelin-associated signaling relevant to remyelination. Catechin flavanols such as EGCG inhibit DNA methyltransferases and several flavonoids affect histone deacetylases, changes consistent with epigenetic upregulation of myelin genes, and in vivo icariin and baicalin increase myelin basic protein and enhance remyelination in cuprizone demyelination models (195–197) (Figure 7D). Astrocyte oligodendrocyte crosstalk is reinforced by flavonoids, with astrocytic BDNF signaling shown to support differentiation and maturation, and flavonoid studies aligning with CREB-dependent neurotrophic support from astroglia (193, 198, 199). The extracellular matrix milieu is also tuned by flavonoids; scutellarin-rich preparations reduce MMP activity and preserve barrier tight junctions, consistent with a balanced MMP to TIMP state that favors myelin repair, and claudin-5 focused work underscores the central role of tight junction restoration for barrier integrity during repair (200, 201).
Microglial contributions are shaped by flavonoids, with baicalein shifting cytokine profiles toward anti-inflammatory programs that include increased TGFβ, and complementary studies establishing IGF-1 signaling in microglia as a driver of pro repair phenotypes during resolution of neuroinflammation (202–205). Axonal preservation during remyelination is supported by vitexin, which regulates heat shock protein expression under stress, while spectrin-based axonal scaffolds and their vulnerability to calpain proteolysis emphasize how stabilizing axonal architecture preserves sodium channel clustering and excitability needed for effective remyelination (206–208). Delivery technologies now improve central exposure, with baicalin liposomes engineered for brain targeting and quercetin or EGCG nano formulations showing enhanced transport across barrier models while maintaining bioactivity (209–211). At the genetic layer, micro-RNA programs critical for myelin repair are engaged, miR-219 and miR-338 promote oligodendrocyte differentiation, and flavonoids such as baicalin suppress pro inflammatory miR-155 in microglia, creating a permissive environment for remyelination (212–214). Finally, flavonoids increase energy metabolism during the high demand phase of myelin synthesis by engaging PGC-1α mediated mitochondrial biogenesis and ATP production in neurons, a process repeatedly documented for quercetin and central to sustaining myelin formation (67, 215). These remyelination related findings are mainly derived from cuprizone, EAE, in vitro, and other preclinical models. They support remyelination permissiveness and repair biology, but confirmed remyelination efficacy in people with MS has not yet been established.
12. Combination therapy: evidence, cautions and hypotheses
Combining flavonoids with approved DMTs is a biologically plausible adjunct strategy in MS, but current evidence does not yet establish consistent clinical synergy. The rationale is based on complementary mechanisms, since many approved therapies mainly reduce peripheral immune activation or immune cell trafficking, whereas selected flavonoids may influence oxidative stress, NF κB signaling, Nrf2 activity, mitochondrial injury, glial activation and repair related pathways. Therefore, flavonoid and disease modifying therapy combinations should be interpreted as investigational approaches unless supported by controlled clinical trials with clear MRI, relapse, disability and safety outcomes.
Some clinical studies suggest possible adjunctive effects, but these findings remain preliminary. In relapsing remitting MS patients receiving interferon beta, quercetin supplementation at 500 mg daily for 6 months was reported to improve antioxidant enzyme activity and reduce inflammatory cytokines, including TNF alpha and IL 6, with modest changes in EDSS scores (67). These results suggest possible biomarker level benefit, but they do not prove clinical synergy or sustained disease control. Similarly, coadministration of silymarin at 420 mg daily with fingolimod at 0.5 mg daily was associated with reduced increases in ALT and AST without worsening neurological outcomes (66). This finding is better interpreted as a possible hepatoprotective or tolerability related effect, rather than evidence that silymarin improves the disease modifying efficacy of fingolimod.
Mechanistic studies provide additional support for combination hypotheses. Fingolimod and quercetin have been reported to jointly suppress NF κB signaling, reduce reactive oxygen species and support oligodendrocyte survival and remyelination related gene expression in microglial and oligodendrocyte models (216). Pharmacokinetic studies also suggest that flavonoid glycosides can affect cytochrome P450 enzymes and transporters such as P glycoprotein and BCRP, which may alter drug exposure and tissue distribution (217). However, these effects should be viewed with caution. Transporter and enzyme modulation may improve exposure in some settings, but it may also create unpredictable food drug or supplement drug interactions with approved MS therapies. Therefore, such interactions require formal pharmacokinetic and safety testing before they can be considered clinically useful.
A second mechanistic example involves dimethyl fumarate and flavonoid mediated activation of the Nrf2 antioxidant pathway. Dimethyl fumarate activates Nrf2 mainly through modification of Keap1 cysteine residues, leading to Nrf2 nuclear translocation and transcription of antioxidant response genes (218). In contrast, some flavonoids may stabilize Nrf2 through Keap1 independent mechanisms, including GSK 3β inhibition and enhanced recruitment of CREB binding protein to antioxidant response element promoters (219). Combination studies using dimethyl fumarate and luteolin have reported increased p GSK 3β, Nrf2 nuclear translocation and antioxidant gene expression, suggesting a possible dual route of Nrf2 activation (220). Other experimental work suggests that flavonoid based combinations may promote p62 mediated Keap1 sequestration and prolong Nrf2 signaling after dimethyl fumarate exposure (221). These findings support a mechanistic hypothesis for enhanced antioxidant defense, but they remain mainly preclinical and should not be presented as confirmed clinical benefit in MS.
Timing and formulation may also influence combination effects, but these areas remain early in development. Sequential dosing strategies, in which flavonoids are administered before DMTs, have been proposed to prime interferon related signaling and improve downstream immunoregulatory responses (214). Fixed dose nanoformulations combining flavonoids with DMTs have also been reported to improve pharmacokinetic and pharmacodynamic control and treatment adherence in experimental or early translational settings (222). However, these findings should be interpreted cautiously because improved delivery or adherence does not necessarily prove improved MS disease control. Such approaches require validation in well-designed MS trials before claims about superior efficacy, dose reduction or improved long term outcomes can be made.
The EGCG and glatiramer acetate combination further illustrates why synergy claims should be cautious. In relapsing EAE and related experimental models, EGCG combined with glatiramer acetate showed enhanced neuroprotective and anti-inflammatory effects compared with either treatment alone (71). However, these effects were not consistent across disease settings, as the same combination did not improve established chronic EAE and reduced some of the axonal and myelin preservation observed with EGCG alone (223). Human data also do not confirm clinical synergy. In relapsing remitting MS, adding EGCG to stable glatiramer acetate for 18 months was generally safe, but it did not improve the main MRI outcome compared with placebo (224). A smaller 12 week crossover study in glatiramer acetate treated patients reported changes in exercise energy metabolism after EGCG, but it was not designed to test relapse activity, disability progression, remyelination or MRI lesion control (225). Similarly, luteolin combined with interferon beta has shown additive suppression of inflammatory responses in immune cells from MS patients, but this remains an in vitro observation and does not establish clinical efficacy (226).
Overall, flavonoid and DMT combinations should be considered hypothesis generating rather than clinically validated. Future studies should include formal interaction testing, pharmacokinetic and pharmacodynamic endpoints, dose optimization, liver safety monitoring, assessment of CYP and transporter effects, and clinically meaningful outcomes such as relapse rate, MRI activity, disability progression, fatigue, cognition, brain atrophy and remyelination markers (216, 217, 222, 224, 225).
13. Comparative analysis: flavonoids versus conventional therapies in multiple sclerosis management
Comparative evidence suggests that flavonoid-containing adjuncts may supplement conventional DMT in MS by engaging neuroprotective and anti-inflammatory pathways that are only partially addressed by DMT (Table 4). Established DMTs diminish relapses and MRI activity by immunomodulation but are still burdened by side events and minimal impact on neurodegeneration (227, 228). Preclinical and translational study demonstrates that flavonoids such as epigallocatechin-3-gallate (EGCG), luteolin, and quercetin operate on NF-κB, Nrf2, microglia, mitochondria, and the gut–brain axis providing a mechanistic rationale for future adjunct studies with approved DMTs (191, 229).
Table 4.
Comparative analysis: flavonoids versus conventional therapies in multiple sclerosis management.
| Domain | Flavonoids | Conventional DMTs | Reference |
|---|---|---|---|
| Primary Mechanisms of Action | • Neuroprotective • Anti-inflammatory • Modulate NF-κB, Nrf2, microglia, mitochondrial pathways, gut–brain axis |
• Immunomodulation • Reduce relapse rates and MRI activity |
(191, 227–229) |
| Therapeutic Scope | Address oxidative stress, neurodegeneration, microglial activation mechanisms not fully targeted by DMTs | Effective in preventing inflammatory relapses but limited in slowing neurodegeneration | (227–229) |
| Combination evidence | • EGCG + GA: Enhanced neuroprotection, fewer infiltrates, increased axonal outgrowth in EAE and cellular models (230) • Luteolin + Interferon-β: Additive suppression of pro-inflammatory cytokines |
• GA and Interferon-β well-established but show plateaued benefits when used alone | (71, 226) |
| Limitations of Synergy | • EGCG + GA ineffective in chronic EAE stages due to disease-stage and dosing constraints | • Long-term side effects (injection reactions, flu-like symptoms, hepatic strain) limit tolerability | (227, 228, 224, 225) |
| Clinical Trial Evidence | • EGCG + GA (18-month RCT): No significant increase in T2-lesion-free patients, but safe • EGCG crossover study: Improved exercise energy metabolism in GA-treated RRMS |
• Strong evidence for relapse reduction and MRI activity control, but persistent neurodegeneration | (227, 228, 224, 225) |
| Safety Profile | Generally favourable; antioxidant and metabolic support may reduce DMT-related stress | Varies by agent; adverse-event burden may impact adherence and long-term use | (227, 224, 225) |
| Overall Contribution | Complements DMTs by reinforcing neuroprotective and anti-inflammatory pathways | Core disease-modifying effects via immunomodulation; incomplete neuroprotection | (71, 189, 227, 228, 223–226) |
Potential interaction between EGCG and glatiramer acetate (GA) has been explored in preclinical and clinical settings, but confirmed clinical synergy has not been established. EGCG and GA has previously been reported in EAE and in vitro models, and the combination of EGCG and GA enhanced neuroprotection, reduced inflammatory infiltrates, and promoted axonal outgrowth beyond monotherapy (71). However, in chronic EAE, the same combination failed to outperform single agents, underscoring disease-stage and dosing contingencies (223). A randomized controlled trial in RRMS found that adding epigallocatechin gallate for 18 months to stable glatiramer acetate did not significantly increase the number of patients with no new T2 MRI lesions compared with placebo, but it was generally safe and well tolerated (224). In a separate 12-week crossover trial in GA-treated RRMS patients, EGCG improved exercise energy metabolism, a symptom-relevant effect that might complement DMT efficacy (225). Beyond EGCG, flavonoid-DMT interactions are an emerging area of investigation. In addition, in vitro combination of luteolin with interferon-β additively suppressed pro-inflammatory cytokine production peripheral blood mononuclear cells from MS patients, suggesting a potential augmentation of interferon therapy (226). Because most combination data are derived from EAE, in vitro, or small clinical studies not designed to prove synergy, the comparisons below should be interpreted as hypothesis generating rather than evidence of established clinical benefit.
14. Challenges and limitations in flavonoid research for multiple sclerosis
Despite promising preclinical findings, several pharmacokinetic and formulation barriers continue to limit the clinical translation of flavonoids in MS. Human studies show low and highly variable systemic exposure, with plasma metabolite concentrations often remaining in the low micromolar range, reflecting limited absorption, first pass metabolism and gut liver biotransformation (91, 231). Importantly, the compounds detected in human plasma are often not the same free aglycones used in many cell culture studies. Instead, flavonoids are commonly present as glucuronidated, sulphated, methylated or mixed conjugates, which may differ from the parent compound in activity, tissue distribution and target engagement (224, 231, 232). This creates a major gap between in vitro potency and clinically relevant dosing. BBB penetration is also uncertain, because CNS exposure appears to be compound and metabolite dependent and generally limited, making it difficult to confirm whether sufficient concentrations reach MS relevant targets in the brain and spinal cord (233).
Interindividual variability further complicates clinical translation. Glycoside form, food matrix, gut microbiota composition, intestinal transport, hepatic phase II metabolism and transporter activity can all influence systemic exposure. Flavonoids may also interact with disposition pathways and transporters such as OATPs and BCRP, which raises the possibility of food drug interactions and unpredictable exposure when used with approved MS DMTs (224, 232–234). Such interactions may alter either flavonoid exposure or DMT exposure and therefore should be assessed directly rather than assumed to be beneficial. Liver safety is also important, particularly for concentrated preparations such as high dose EGCG and for patients receiving DMTs that already require hepatic monitoring. Recent EGCG trials in relapsing remitting and progressive MS also show that mechanistic promise and oral dosing feasibility do not necessarily translate into clear MRI or clinical benefit (227, 228).
Strategies to improve CNS delivery are promising but remain mostly experimental. Liposomes, polymeric nanoparticles and related carrier systems may improve solubility, stability and tissue exposure, but they also introduce challenges related to manufacturing, long term stability, regulatory quality, cost and scalable production (235). Therefore, improved delivery systems should not be presented as having already solved the bioavailability or BBB penetration problem. Future studies should include standardized preparations, pharmacokinetic and pharmacodynamic endpoints, metabolite profiling, CNS exposure assessment when feasible, liver safety monitoring, CYP and transporter interaction testing, and careful assessment of interactions with approved DMTs. Because unsupervised botanical use is common among patients and interaction profiles remain uncertain, flavonoid use in MS should be clinician guided until stronger clinical and safety evidence is available (236).
15. Future perspectives and emerging opportunities in flavonoid research for multiple sclerosis
Advances in next generation single-cell and spatial omics now allow cell type–resolved readouts of pathology and treatment response across MS lesion ecosystems. Single nucleus RNAseq has revealed disease associated oligodendroglia and stratified patients by distinct white matter glial programs, creating a framework to detect pharmacodynamic signatures of flavonoids at cellular resolution (237, 238). Spatial transcriptomics and single-cell spatial maps can further link microenvironmental niches (reactive rims, remyelinating cores, perivascular spaces) to flavonoid modulated pathways e.g., oxidative stress, inflammasome activity, and phagocytic remodeling supporting rational combination with DMTs and stage specific deployment (239, 240).
15.1. Proteomic innovations for target discovery
High resolution quantitative proteomics (nano LC-MS) has matured into a discovery engine for mechanism of action and target deconvolution. Data independent acquisition (DIA) expands coverage and quantitation, while multiplexed workflows enable time and dose resolved profiling of flavonoid exposures in patient derived cells or CSF (241–244). Phospho proteomics adds network level insight into kinase signaling perturbed by flavonoids (e.g., NF κB, MAPK, Nrf2) and can be analyzed with dedicated toolchains (PhosR) to infer upstream kinases and pathway nodes for pairing with DMTs (230). Together, these platforms support unbiased identification of actionable protein complexes, PTMs, and signaling hubs that mediate flavonoid responses in MS.
15.2. Nanotechnology for targeted delivery
State of the art nanocarriers address poor oral bioavailability and BBB penetration by leveraging receptor mediated transcytosis and stimuli responsive release. For flavonoids, solid lipid or nanostructured lipid carriers functionalized with transferrin or RVG29 have improved brain delivery and neuronal uptake in preclinical models; EGCG or quercetin loaded formulations illustrate feasibility (245–247). Broad reviews of BBB targeted nanomedicines highlight lactoferrin/transferrin decorated systems, peptide ligands, and pH responsive polymers as adaptable scaffolds for MS relevant neuroinflammation (245, 248). Translational priorities include scale up, long term stability, and lesion specific targeting in demyelinating contexts.
15.3. AI driven discovery and personalized design
AI is accelerating natural product drug discovery via genome/metabolome mining, target prediction, de novo design, and multi omics integration; these capabilities are directly applicable to flavonoid scaffolds (249). For combinations, open platforms (e.g., SynergyFinder) and deep learning models (transformers, graph neural networks) enable in silico prioritization of DMT-flavonoid pairs and responder stratification using transcriptomic or proteomic features (250–252). In parallel, AI guided medicinal chemistry can optimize bioavailability and BBB properties while preserving polypharmacology (253). Embedding these models within MS specific datasets (single cell, imaging, clinical phenotypes) should yield patient tailored flavonoid regimens.
15.4. Epigenetic and microbiome interactions
Flavonoids modulate epigenetic regulators (DNMTs, HDACs) and immune inflammatory transcriptional programs. EGCG and quercetin exemplify DNMT inhibition, histone acetylation changes, and miRNA modulation relevant to neuroinflammation (254–256). Concurrently, MS associated dysbiosis (e.g., increased Akkermansia/Methanobrevibacter) and functional transfer of MS microbiota that exacerbates CNS autoimmunity in mice position the gut-brain axis as a co target for flavonoid intervention (257–259). Combining epigenetic readouts with metagenomic or metabolomic profiling could identify microbial consortia that bioactivate flavonoids into efficacious metabolites and predict responders.
15.5. Gene editing and synthetic biology solutions
Engineering microbial cell factories (e.g. yeast, E. coli) enables scalable production and late stage diversification of flavonoids with improved stability and BBB permeability (260–262). Beyond manufacturing, engineered live biotherapeutics can be programmed to sense intestinal cues and deliver therapeutics in situ, an approach increasingly feasible for modulating flavonoid pathways and the MS relevant microbiome (263, 264). Recent toolkits in E. coli Nissle expand chassis control for payload production and context aware release, offering a route to personalized, locally delivered flavonoid therapy that circumvents first pass metabolism (265).
15.6. Systems biology and network medicine approaches
Network centric analyses integrating multi omics with imaging and clinical phenotypes have revealed multiscale MS modules that track tissue damage and severity (266). Applying these frameworks to flavonoid perturbation experiments can identify convergence nodes (e.g., oxidative stress, microglial activation) and nominate rational DMT partners. Standardized workflows and software (e.g., Cytoscape) support reproducible mapping of flavonoid affected interactomes, while trends in multi tissue systems biology guide data integration and translation to biomarkers (267, 268).
15.7. Future perspectives on organ on a chip in flavonoid based MS therapy
Human BBB and neurovascular unit on chip systems recapitulate barrier function, immune trafficking, and inflammatory endothelial signaling, enabling rigorous tests of flavonoid transport, metabolism, and efficacy under flow (269, 270). iPSC derived, patient specific BBB chips capture inter individual variability and disease specific defects, supporting precision dose selection and interaction testing with DMTs (271). Next-generation NVU chips mimicking rim-active lesions and T-cell transmigration could allow quantification of the degree to which flavonoid-loaded nanocarriers or free flavonoids restore barrier integrity or modulate glial responses, enabling preclinical-to-clinical translation.
16. Balanced interpretation of clinical evidence and limits of translation
Flavonoids are still biologically plausible adjunctive candidates for MS, but the existing data does not justify presenting them as established disease-modifying therapies. The most powerful beneficial effects remain limited to experimental systems and have not been reliably transferred to human MRI or disability outcomes (224, 272). Of the compounds reviewed, EGCG has the most direct evidence in the clinic for MS patients. In a multicenter, randomized, double blind phase II trial of patients with relapsing remitting MS on stable glatiramer acetate, oral EGCG up to 800 mg daily for 18 months was safe but was not superior to placebo for new T2 weighted lesions, lesion volume, contrast enhancing lesions, brain volume change, Expanded Disability Status Scale (EDSS), MS Functional Composite (MSFC), or annualized relapse rate (224). In a randomized, double blind phase II trial in progressive MS, EGCG up to 1200 mg daily for 36 months did not improve brain atrophy, radiological outcomes or clinical disease markers, and one participant withdrew from treatment due to increased aminotransferases, highlighting the need for liver safety monitoring at high supplemental doses (92). Smaller studies suggest possible physiological effects but the results should not be over interpreted. For example, in a small crossover trial of patients with relapsing remitting MS treated with glatiramer acetate, EGCG 600 mg daily for 12 weeks altered some measures of energy metabolism, but the study was not designed to assess relapse activity, disability progression, remyelination or MRI lesion control (225). Also, there is no clear positive evidence from flavonoid-rich botanical preparations. A randomized placebo controlled trial of 120 mg twice daily for 12 weeks of Ginkgo biloba extract containing flavonol glycosides did not improve cognitive performance, suggesting that mechanistic rationale does not necessarily translate into clinically meaningful neurological benefit (93). Efficacy in preclinical models should be viewed in the context of the limitations of the models. EAE is useful as a model for immune mediated CNS inflammation, in particular CD4 T cell mediated autoimmunity but human MS is a more complex disease that also involves CD8 T cells, B cells, compartmentalized CNS inflammation, cortical lesions, chronic active lesions and progressive neurodegeneration (272, 273). The cuprizone model is a useful model to study oligodendrocyte injury, demyelination and remyelination, however, because of its toxin driven nature with limited participation of peripheral adaptive immune cells, positive results in this model are mostly supportive of the effects on glial injury and repair biology, rather than systemic MS immunotherapy (94, 274). Glatiramer acetate + EGCG also shows the gulf between promising preclinical results and uncertain clinical translation. This combination had coactive neuroprotective and anti-inflammatory effects in a relapsing EAE model but did not improve established chronic EAE and even reduced the axonal and myelin preservation observed with EGCG alone (275, 276). Dosing and formulation approaches vary, leading to further interpretation challenges, including preventive dosing, treatment after disease onset, oral gavage, purified compounds, botanical extracts, nanoformulations, and human regimens (ranging from EGCG 600 mg daily for 12 weeks to 1200 mg daily for 36 months) (93, 224, 225). A further important barrier is pharmacokinetic variability, because the human exposure to quercetin depends on the glycoside form, plant matrix, absorption and phase II metabolism and the circulating forms after dietary intake are mainly methylated, glucuronidated, sulphated or mixed conjugates and not the free aglycone often used in cell culture experiments (277). Therefore, future studies should incorporate pharmacokinetic and pharmacodynamic endpoints, metabolite profiling, monitoring of liver safety, standardized preparations, sex and disease phenotype stratification, assessment of interaction with approved DMTs and clinically meaningful outcomes such as relapse activity, MRI lesions, disability progression, cognition, fatigue, brain atrophy and remyelination markers before being able to claim that flavonoids modify MS progression.
17. Conclusion
Current evidence suggests that selected flavonoids can modulate inflammatory, oxidative stress, glial, mitochondrial, and repair related pathways relevant to MS. However, most supportive data remain preclinical or mechanistic, and human evidence is limited and mixed. EGCG has the most direct clinical evidence among the flavonoids discussed, but randomized studies have not shown consistent benefit on core MRI, relapse, disability, or brain atrophy outcomes. Therefore, flavonoids should be viewed as biologically plausible adjunct candidates requiring clinical validation, not as established disease modifying or remyelinating therapies. Future research should focus on standardized formulations, clinically relevant dosing, pharmacokinetic and pharmacodynamic endpoints, metabolite profiling, liver safety monitoring, interaction assessment with approved DMTs, and clinically meaningful outcomes such as relapse activity, MRI lesions, disability progression, cognition, fatigue, brain atrophy, and remyelination markers. Advances in delivery technologies, systems biology, artificial intelligence, and synthetic biology may help prioritize candidate compounds and improve study design, but these approaches should be considered enabling tools rather than proof of clinical efficacy.
Funding Statement
The author(s) declared that financial support was not received for this work and/or its publication.
Footnotes
Edited by: Rusliza Basir, Universiti Putra Malaysia, Malaysia
Reviewed by: Nasiruddin Khan, Desh Bhagat University, India
Shuai Cheng, Hebei University, China
Author contributions
AA: Writing – original draft, Writing – review & editing, Investigation, Project administration, Methodology, Data curation, Conceptualization, Validation. MA: Writing – review & editing, Funding acquisition, Supervision, Conceptualization. HO: Writing – review & editing, Software, Visualization, Data curation. ZA: Investigation, Writing – review & editing. SZ: Writing – review & editing, Visualization, Project administration. NJ: Writing – review & editing.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that generative AI was used in the creation of this manuscript. During the preparation of this manuscript, the authors used ChatGPT-Edu Pro to check grammar and style and to refine the manuscript’s language. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the published article.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
- 1. Mohamed E, Khaled M, Ashraf M, Yahia N, Gamal O, Fahmy MI. Advances in understanding and treating multiple sclerosis: A comprehensive review. J Pharm Sci Drug Manufacturing-Misr Univ For Sci Technol. (2024) 1:21–30. doi: 10.21608/jpsdm.2024.257173.1006 [DOI] [Google Scholar]
- 2. Fymat AL. Multiple sclerosis: I. Symptomatology and etiology. J Neurol Psychol Res. (2023) 4:1–46. [Google Scholar]
- 3. Johnston RB, Jr, Joy JE. Multiple Sclerosis: Current Status and Strategies for the Future. Johnston RB, Joy JE, editors. Washington, DC: The National Academies Press; (2001). [PubMed] [Google Scholar]
- 4. Kamm C, Zettl UK. Autoimmune disorders affecting both the central and peripheral nervous system. Autoimmun Rev. (2012) 11:196–202. doi: 10.1016/j.autrev.2011.05.012 [DOI] [PubMed] [Google Scholar]
- 5. Bayat P, Farshchi M, Yousefian M, Mahmoudi M, Yazdian-Robati R. Flavonoids, the compounds with anti-inflammatory and immunomodulatory properties, as promising tools in multiple sclerosis (MS) therapy: A systematic review of preclinical evidence. Int Immunopharmacol. (2021) 95:107562. doi: 10.1016/j.intimp.2021.107562 [DOI] [PubMed] [Google Scholar]
- 6. Woodfin S, Hall S, Ramerth A, Chapple B, Fausnacht D, Moore W, et al. Potential application of plant-derived compounds in multiple sclerosis management. Nutrients. (2024) 16:2996. doi: 10.3390/nu16172996 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Costa SL, Silva VDA, dos Santos Souza C, Santos CC, Paris I, Munoz P, et al. Impact of plant-derived flavonoids on neurodegenerative diseases. Neurotoxic Res. (2016) 30:41–52. doi: 10.1007/s12640-016-9600-1 [DOI] [PubMed] [Google Scholar]
- 8. Sospedra M, Martin R. Immunology of multiple sclerosis. Annu Rev Immunol. (2005) 23:683–747. doi: 10.1055/s-0036-1579739 [DOI] [PubMed] [Google Scholar]
- 9. Friese MA, Fugger L. Pathogenic CD8+ T cells in multiple sclerosis. Ann Neurol. (2009) 66:132–41. doi: 10.1007/978-0-387-36003-4_13 [DOI] [PubMed] [Google Scholar]
- 10. Kebir H, Kreymborg K, Ifergan I, Dodelet-Devillers A, Cayrol R, Bernard M, et al. Human TH17 lymphocytes promote blood-brain barrier disruption and central nervous system inflammation. Nat Med. (2007) 13:1173–5. doi: 10.1038/nm1651 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Lock C, Hermans G, Pedotti R, Brendolan A, SChadt E, Garren H, et al. Gene-microarray analysis of multiple sclerosis lesions yields new targets validated in autoimmune encephalomyelitis. Nat Med. (2002) 8:500–8. doi: 10.1038/nm0502-500 [DOI] [PubMed] [Google Scholar]
- 12. Reboldi A, Coisne C, Baumjohann D, Benvenuto F, Bottinelli D, Lira S, et al. C-C chemokine receptor 6–regulated entry of TH-17 cells into the CNS through the choroid plexus is required for the initiation of EAE. Nat Immunol. (2009) 10:514–23. doi: 10.1038/ni.1716 [DOI] [PubMed] [Google Scholar]
- 13. Giuliani F, Goodyer CG, Antel JP, Yong VW. Vulnerability of human neurons to T cell-mediated cytotoxicity. Neurology. (2003) 61:103–5. doi: 10.4049/jimmunol.171.1.368 [DOI] [PubMed] [Google Scholar]
- 14. Viglietta V, Baecher-Allan C, Weiner HL, Hafler DA. Loss of functional suppression by CD4+CD25+ regulatory T cells in patients with multiple sclerosis. J Exp Med. (2004) 199:971–9. doi: 10.1084/jem.20031579 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Haas J, Hug A, Viehöver A, Lutz BJ, Weber MS, Melms A, et al. Reduced suppressive effect of CD4+CD25high regulatory T cells on the T cell immune response against myelin oligodendrocyte glycoprotein in patients with multiple sclerosis. Eur J Immunol. (2005) 35:3343–52. doi: 10.1002/eji.200526065 [DOI] [PubMed] [Google Scholar]
- 16. Duddy M, Niino M, Adatia F, Hebert S, Freedman M, Atkins H, et al. Distinct effector cytokine profiles of memory and naive human B cell subsets and implication in multiple sclerosis. J Immunol. (2007) 178:6092–9. doi: 10.4049/jimmunol.178.10.6092 [DOI] [PubMed] [Google Scholar]
- 17. Li R, Rezk A, Miyazaki Y, Hilgenberg E, Touil H, Shen P, et al. Proinflammatory GM-CSF–producing B cells in multiple sclerosis and B cell depletion therapy. Sci Transl Med. (2015) 7:310ra166. doi: 10.1126/scitranslmed.aab4176 [DOI] [PubMed] [Google Scholar]
- 18. Thompson AJ, Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. (2018) 17:162–73. doi: 10.1016/s1474-4422(17)30470-2 [DOI] [PubMed] [Google Scholar]
- 19. Prinz M, Priller J. Microglia and brain macrophages in the molecular age: From origin to neuropsychiatric disease. Nat Rev Neurosci. (2017) 8:244–56. doi: 10.1038/nrn3722 [DOI] [PubMed] [Google Scholar]
- 20. Miron VE, Boyd A, Zhao J-W, Yuen TJ, Ruckh JM, Shadrach JL, et al. M2 microglia and macrophages drive oligodendrocyte differentiation during CNS remyelination. Nat Neurosci. (2013) 16:1211–8. doi: 10.1038/nn.3469 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Voskuhl RR, Itoh N, Tassoni A. Neuroprotection and neurodegeneration in multiple sclerosis. Cold Spring Harbor Perspect Med. (2019) 9:a029025. [Google Scholar]
- 22. Sofroniew MV. Astrocyte barriers to neurotoxic inflammation. Nat Rev Neurosci. (2015) 16:249–63. doi: 10.1038/nrn3898 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Louveau A, Smirnov I, Keyes TJ, Eccles JD, Rouhani SJ, Peske JD, et al. Structural and functional features of central nervous system lymphatic vessels. Nature. (2015) 523:337–43. doi: 10.1038/nature14432 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Maimone D, Gregory S, Arnason BGW, Reder AT. Frequency of CD56+ cells in MS patients treated with interferon-β. Neurology. (1991) 41:1618–21. [Google Scholar]
- 25. Nair A, Reddy SAG. NF-κB in the CNS: A paradigm for inflammation-induced neurodegeneration. Curr Opin Immunol. (2008) 20:372–80. [Google Scholar]
- 26. Tsimpoulis G, Papadopoulou A, Karampetsou M, Papathanasiou C, Papadopoulos G, Dalakas MC. The role of STAT3 in CNS autoimmunity. Int J Mol Sci. (2021) 22:3546. 33805573 [Google Scholar]
- 27. Tyler WA, Gangoli N, Gokina P, Kim H-A, Covey M, Levison SW, et al. Functional analysis of EGFR signaling in neural stem/progenitor cells. Stem Cells. (2009) 27:2489–98. [Google Scholar]
- 28. Inoue M, Lin L, Maeda S, Mehta P, Zurawski SM, Zurawski G, et al. Interferon-β therapy against EAE is mediated by suppression of inflammation and apoptosis via IFN-β/BDNF/Akt signaling. Cell Death Dis. (2014) 5:e1010. 24457954 [Google Scholar]
- 29. Barclay W, Shinohara ML. Inflammasome activation in multiple sclerosis and experimental autoimmune encephalomyelitis (EAE). Brain Pathol. (2017) 27:213–9. doi: 10.1111/bpa.12477 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Ransohoff RM. How neuroimmunology came of age. Nat Rev Immunol. (2009) 9:149–55. [Google Scholar]
- 31. Trojano M, Paolicelli D. The advent of interferon beta therapy in multiple sclerosis: A historical perspective. J Neurol. (2001) 248:845–56. [Google Scholar]
- 32. Aharoni R. The mechanism of action of glatiramer acetate in multiple sclerosis and beyond. Cell Mol Immunol. (2014) 11:11–21. doi: 10.1016/j.autrev.2012.09.005 [DOI] [PubMed] [Google Scholar]
- 33. Johnson KP, Brooks BR, Cohen JA, Ford CC, Goldstein J, Lisak RP, et al. Copolymer 1 reduces relapse rate and improves disability in relapsing‐remitting multiple sclerosis: Results of a phase III multicenter, double‐blind, placebo‐controlled trial. Neurology. (1995) 45:1268–76. doi: 10.1212/WNL.45.7.1268 [DOI] [PubMed] [Google Scholar]
- 34. Galetta SL, Markowitz C, Lee AG. Immunomodulatory agents for the treatment of relapsing multiple sclerosis: A systematic review. Arch Internal Med. (2002) 162:2161–9. doi: 10.1001/archinte.162.19.2161 [DOI] [PubMed] [Google Scholar]
- 35. Hauser SL, Bar-Or A, Comi G, Giovannoni G, Hartung H-P, Hemmer B, et al. Ocrelizumab versus interferon beta-1a in relapsing multiple sclerosis. N Engl J Med. (2017) 376:221–34. doi: 10.1056/nejmoa1601277 [DOI] [PubMed] [Google Scholar]
- 36. Montalban X, Soelberg Sørensen P, Gasperini C, Saiz A, Havrdová E, Selmaj K, et al. Safety and efficacy of ofatumumab in relapsing multiple sclerosis: A phase 2 study. Neurology. (2019) 93:e382–e391. doi: 10.1212/WNL.0000000000000125 [DOI] [Google Scholar]
- 37. Coles AJ, Compston DAS, Selmaj KW, Lake SL, Moran S, Margolin DH, et al. Alemtuzumab vs. interferon beta-1a in early multiple sclerosis. N Engl J Med. (2008) 359:1786–801. doi: 10.4274/npa.y6426 [DOI] [PubMed] [Google Scholar]
- 38. Comi G, Cook S, Giovannoni G, Rammohan K, Rieckmann P, Sørensen PS, et al. Effect of oral cladribine on walking speed in patients with relapsing-remitting multiple sclerosis: Post-hoc analysis of the CLARITY study. Multiple Sclerosis J. (2019) 25:82–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Chun J, Hartung HP. Mechanism of action of oral fingolimod (FTY720) in multiple sclerosis. Clin Ther. (2010) 32:857–75. doi: 10.1097/wnf.0b013e3181cbf825 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Cohen JA, Comi G, Selmaj KW, Phillips JT, Havrdová E, Steinman L, et al. Safety and efficacy of the selective sphingosine 1-phosphate receptor modulator ozanimod in relapsing multiple sclerosis (RADIANCE): A randomised, double-blind, phase 2 trial. Lancet Neurol. (2017) 16:1000–10. doi: 10.1016/s1474-4422(16)00018-1 [DOI] [PubMed] [Google Scholar]
- 41. Kappos L, Bar-Or A, Cree BAC, Fox RJ, Giovannoni G, Gold R, et al. Siponimod versus placebo in secondary progressive multiple sclerosis (EXPAND): A double-blind, randomised, phase 3 study. Lancet. (2018) 391:1263–73. doi: 10.1016/s0140-6736(18)30475-6 [DOI] [PubMed] [Google Scholar]
- 42. Polman CH, O’Connor PW, Havrdová E, Hutchinson M, Kappos L, Miller DH, et al. A randomized, placebo-controlled trial of natalizumab for relapsing multiple sclerosis. N Engl J Med. (2006) 354:899–910. doi: 10.1056/nejmoa044397 [DOI] [PubMed] [Google Scholar]
- 43. Scuderi SA, Mammana S, Cavalli E, De Blasio D, Petralia MC, Musumeci G, et al. Antioxidant and anti-inflammatory effect of Nrf2 inducer dimethyl fumarate in neurodegenerative diseases. Antioxidants. (2020) 9:630. doi: 10.3390/antiox9070630 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Gold R, Giovannoni G, Selmaj K, Havrdová E, Montalban X, Radue E-W, et al. Placebo-controlled phase 3 study of oral BG-12 for relapsing multiple sclerosis. N Engl J Med. (2012) 367:1098–107. doi: 10.1056/nejmoa1114287 [DOI] [PubMed] [Google Scholar]
- 45. Longbrake EE, Cross AH. Dimethyl fumarate associated lymphopenia in clinical practice. Multiple Sclerosis Journal: Experimental Trans Clin. (2015) 1:2055217315596994. doi: 10.1177/1352458514559299 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Wundes A, Wray S, Gold R, Singer BA, Jasinska E, Ziemssen T, et al. Improved gastrointestinal profile with diroximel fumarate is associated with a positive impact on quality of life compared with dimethyl fumarate: Results from the randomized, double-blind, phase III EVOLVE-MS-2 study. Ther Adv Neurological Disord. (2021) 14:1756286421993999. doi: 10.1177/1756286421993999 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. PRISMS Study Group . Randomised double blind placebo controlled study of interferon beta 1a in relapsing remitting multiple sclerosis. Lancet. (1998) 352:1498–504. doi: 10.1016/S0140-6736(98)03334-0 [DOI] [PubMed] [Google Scholar]
- 48. Johnson KP. A review of the clinical efficacy profile of copolymer 1: New US phase III trial data. J Neurol. (1996) 243:S3–7. doi: 10.1007/bf00873695 [DOI] [PubMed] [Google Scholar]
- 49. Bloomgren G, Richman S, Hotermans C, Subramanyam M, Goelz S, Natarajan A, et al. Risk of natalizumab associated progressive multifocal leukoencephalopathy. N Engl J Med. (2012) 366:1870–80. doi: 10.1056/NEJMoa1107829 [DOI] [PubMed] [Google Scholar]
- 50. Jones JL, Phuah C-L, Cox AL, Thompson SA, Ban M, Shawcross N, et al. Teriflunomide inhibits T cell proliferation by blocking the mitochondrial pyrimidine biosynthesis pathway. J Immunol. (2010) 184:5860–7. [Google Scholar]
- 51. Paul F, Dörr J, Würfel J, Vogel HP, Zipp F. Early mitoxantrone induced cardiotoxicity in secondary progressive multiple sclerosis. J Neurology Neurosurgery Psychiatry. (2007) 78:198–200. doi: 10.1136/jnnp.2006.091033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Marriott JJ, Miyasaki JM, Gronseth G, O’Connor PW. Evidence report: The efficacy and safety of mitoxantrone (Novantrone) in the treatment of multiple sclerosis: Report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology. Neurology. (2010) 74:1463–70. doi: 10.4324/9781003547372-26 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Dybowski S, Torke S, Weber MS. Targeting B cells and microglia in multiple sclerosis with Bruton tyrosine kinase inhibitors: A review. JAMA Neurol. (2023) 80:404–14. doi: 10.1001/jamaneurol.2022.5332 [DOI] [PubMed] [Google Scholar]
- 54. Burt RK, Balabanov R, Burman J, Sharrack B, Snowden JA, Oliveira MC, et al. Effect of nonmyeloablative hematopoietic stem cell transplantation vs continued disease modifying therapy on disease progression in patients with relapsing remitting multiple sclerosis: A randomized clinical trial. JAMA. (2019) 321:165–74. doi: 10.1001/jama.2018.18743 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Muraro PA, Pasquini M, Atkins HL, Bowen JD, Farge D, Fassas A, et al. Long term outcomes after autologous hematopoietic stem cell transplantation for multiple sclerosis. JAMA Neurol. (2017) 74:459–69. doi: 10.1001/jamaneurol.2016.5867 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Trapp BD, Nave KA. Multiple sclerosis: an immune or neurodegenerative disorder? Annu Rev Neurosci. (2008) 31:247–69. doi: 10.1146/annurev.neuro.30.051606.094313 [DOI] [PubMed] [Google Scholar]
- 57. Dutta R, Trapp BD. Mechanisms of neuronal dysfunction and degeneration in multiple sclerosis. Prog Neurobiol. (2011) 93:1–12. doi: 10.1016/j.pneurobio.2010.09.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Khatri BO, Garland J, Moore P, Paladino J, Gross R, McMillan J, et al. Fingolimod in the treatment of relapsing–remitting multiple sclerosis: long-term experience and an update on the clinical evidence. Ther Adv Neurological Disord. (2016) 9:130–47. doi: 10.1177/1756285616628766 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Gulcin I, Beydemir S. Phenolic compounds as antioxidants: carbonic anhydrase isoenzymes inhibitors. Mini-Rev Med Chem. (2013) 13:408–30. doi: 10.2174/1389557511313030009 [DOI] [PubMed] [Google Scholar]
- 60. Elnour AAM, Mirghani MES, Musa KH, Kabbashi NA, Alam MZ. Challenges of extraction techniques of natural antioxidants and their potential application opportunities as anti-cancer agents. Health Sci J. (2018) 12:596. doi: 10.21767/1791-809x.1000596 [DOI] [Google Scholar]
- 61. Quideau S, Deffieux D, Douat‐Casassus C, Pouységu L. Plant polyphenols: chemical properties, biological activities, and synthesis. Angew Chem Int Ed. (2011) 50:586–621. doi: 10.1002/anie.201000044 [DOI] [PubMed] [Google Scholar]
- 62. Cichon N, Saluk-Bijak J, Gorniak L, Przyslo L, Bijak M. Flavonoids as a natural enhancer of neuroplasticity—An overview of the mechanism of neurorestorative action. Antioxidants. (2020) 9:1035. doi: 10.3390/antiox9111035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Munteanu C, Schwartz B. Interactions between dietary antioxidants, dietary fiber and the gut microbiome: their putative role in inflammation and cancer. Int J Mol Sci. (2024) 25:8250. doi: 10.3390/ijms25158250 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Rathee S, Patil UK, Jain SK. Exploring the potential of dietary phytochemicals in cancer prevention: A comprehensive review. J Exploratory Res Pharmacol. (2024) 9:34–47. doi: 10.14218/jerp.2023.00050 [DOI] [Google Scholar]
- 65. Das S, Jha AN. Role of flavonoids as ethnomedicine for the treatment of complex neurodegenerative diseases. In: Traditional Resources and Tools for Modern Drug Discovery: Ethnomedicine and Pharmacology. Singapore: Springer Nature Singapore Pte Ltd (Springer Singapore) (2024). p. 295–313. [Google Scholar]
- 66. Fathallah S, Abdellatif A, Saadeldin MK. Unleashing nature's potential and limitations: Exploring molecular targeted pathways and safe alternatives for the treatment of multiple sclerosis. Med Int. (2023) 3:42. doi: 10.3892/mi.2023.102 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Javanbakht P, Yazdi FR, Taghizadeh F, Khadivi F, Hamidabadi HG, Kashani IR, et al. Quercetin as a possible complementary therapy in multiple sclerosis: Anti-oxidative, anti-inflammatory and remyelination potential properties. Heliyon. (2023) 9. doi: 10.1016/j.heliyon.2023.e21741 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Sanadgol N, Shahraki Zahedani S, Sharifzadeh M, Khalseh R, Reza Barbari G, Abdollahi M. Recent updates in imperative natural compounds for healthy brain and nerve function: a systematic review of implications for multiple sclerosis. Curr Drug Targets. (2017) 18:1499–517. doi: 10.2174/1389450118666161108124414 [DOI] [PubMed] [Google Scholar]
- 69. Abusaliya A, Ha SE, Bhosale PB, Kim HH, Park MY, Vetrivel P, et al. Glycosidic flavonoids and their potential applications in cancer research: A review. Mol Cell Toxicol. (2022) 18:9–16. doi: 10.1007/s13273-021-00178-x 30311153 [DOI] [Google Scholar]
- 70. Muthian G, Bright JJ. Quercetin, a flavonoid phytoestrogen, ameliorates experimental allergic encephalomyelitis by blocking IL-12 signaling through JAK-STAT pathway in T lymphocyte. J ClinImmunol. (2004) 24:542–52. doi: 10.1023/b:joci.0000040925.55682.a5 [DOI] [PubMed] [Google Scholar]
- 71. Herges K, Millward JM, Hentschel N, Infante–Duarte C, Aktas O, Zipp F. Neuroprotective effect of combination therapy of glatiramer acetate and epigallocatechin 3 gallate in neuroinflammation. PloS One. (2011) 6:e25456. doi: 10.1371/journal.pone.0025456 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Schuldesz AC, Tudor R, Nandarge PS, Elagez A, Cornea A, Ion R, et al. The effects of epigallocatechin-3-gallate nutritional supplementation in the management of multiple sclerosis: A systematic review of clinical trials. Nutrients. (2024) 16:2723. doi: 10.3390/nu16162723 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Ciftci O, Ozcan C, Kamisli O, Cetin A, Basak N. Hesperidin, a citrus flavonoid, has ameliorative effects against experimental autoimmune encephalomyelitis (EAE) in a C57BL/6J mouse model. Neurochem Res. (2015) 40:1117–25. doi: 10.1007/s11064-015-1571-8 [DOI] [PubMed] [Google Scholar]
- 74. Contarini G, Franceschini D, Facci L, Barbierato M, Giusti P, Zusso M. A co ultramicronized palmitoylethanolamide/luteolin composite mitigates clinical score and disease relevant molecular markers in a mouse model of experimental autoimmune encephalomyelitis. J Neuroinflamm. (2019) 16:126. doi: 10.1186/s12974-019-1514-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Nicola MA, Attaai AH, Abdel-Raheem MH. Neuroprotective effects of rutin against cuprizone-induced multiple sclerosis in mice. Inflammopharmacology. (2024) 32:1295–315. doi: 10.1007/s10787-024-01442-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Kong W, Hooper KM, Ganea D. The natural dual cyclooxygenase and 5-lipoxygenase inhibitor flavocoxid is protective in experimental autoimmune encephalomyelitis through effects on Th1/Th17 differentiation and macrophage/microglia activation. Neuropharmacology. (2016) 110:544–56. doi: 10.1016/j.bbi.2015.11.002 [DOI] [PubMed] [Google Scholar]
- 77. Hashimoto M, Yamamoto S, Iwasa K, Yamashina K. The flavonoid baicalein attenuates cuprizone-induced demyelination via suppression of neuroinflammation. Neurochem Int. (2017) 108:213–24. doi: 10.1016/j.brainresbull.2017.09.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Liu Z, Sun M, Jin C, Sun X, Feng F, Niu X, et al. Naringenin confers protection against experimental autoimmune encephalomyelitis through modulating the gut-brain axis: A multiomics analysis. J Nutr Biochem. (2023) 122:109448. doi: 10.1016/j.jnutbio.2023.109448 [DOI] [PubMed] [Google Scholar]
- 79. Erukainure OL, Salau VF. Kolaviron: A biflavonoid with numerous health benefits. Curr Pharm Des. (2021) 27:537–52. doi: 10.2174/1381612826666201113094303 [DOI] [PubMed] [Google Scholar]
- 80. Abbasirad F, Shaygannejad V, Hosseininasab F, Mirmosayyeb O, Mahaki B, Moayedi B, et al. Significant immunomodulatory and hepatoprotective impacts of silymarin in MS patients: a double-blind placebo-controlled clinical trial. Int Immunopharmacol. (2021) 97:107715. doi: 10.1016/j.intimp.2021.107715 [DOI] [PubMed] [Google Scholar]
- 81. De Paula ML, Rodrigues DH, Teixeira HC. Genistein down-modulates pro-inflammatory cytokines and reverses clinical signs of experimental autoimmune encephalomyelitis. Life Sci. (2008) 82:536–45. doi: 10.1016/j.intimp.2008.05.002 [DOI] [PubMed] [Google Scholar]
- 82. Jahromi SR, Arrefhosseini SR, Ghaemi A, Alizadeh A, Tabriz HM, Togha M. Alleviation of experimental allergic encephalomyelitis in C57BL/6 mice by soy daidzein. Iranian J Allergy Asthma Immunol. (2014) 131:256–64. doi: 10.1016/j.ijdevneu.2015.04.295 [DOI] [PubMed] [Google Scholar]
- 83. Ginwala R, McTish E, Raman C, Singh N. Apigenin, a natural flavonoid, attenuates EAE severity through the modulation of dendritic cell and other immune cell functions. J Neuroimmune Pharmacol. (2016) 11:622–38. doi: 10.1007/s11481-015-9617-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Rabiei F, Askari H, Javan M, Lucchi C, Pourbagher R, Biagini G, et al. Mesenchymal stem cells derived exosomes and kaempferol improve myelin repair via attenuating inflammation and oxidative stress in a cuprizone induced demyelination model. Stem Cell Res Ther. (2025) 16:608. doi: 10.1186/s13287-025-04742-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. El-Ashmawy NE, Khedr NF, Helmy NN, Ibrahim AO. Fisetin mitigates ferroptosis and promotes remyelination in a cuprizone model of multiple sclerosis. J Neuroimmune Pharmacol. (2025) 20:108. doi: 10.1007/s11481-025-10260-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Islam F, Roy S, Zehravi M, Paul S, Sutradhar H, Yaidikar L, et al. Polyphenols targeting MAP kinase signaling pathway in neurological diseases: understanding molecular mechanisms and therapeutic targets. Mol Neurobiol. (2024) 61:2686–706. doi: 10.1007/s12035-023-03706-z [DOI] [PubMed] [Google Scholar]
- 87. Nouri Z, Fakhri S, Nouri K, Wallace CE, Farzaei MH, Bishayee A. Targeting multiple signaling pathways in cancer: The rutin therapeutic approach. Cancers. (2020) 12:2276. doi: 10.3390/cancers12082276 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Ahmad HA, Wahab F, Ullah M, Khan MI. Exploring the therapeutic power of flavonoids on chronic disease: Unraveling the mechanisms of action especially by following MAPKs/NF‐KB signaling pathways. In: Role of Flavonoids in Chronic Metabolic Diseases: From Bench to Clinic. Beverly, MA: Scrivener Publishing LLC (Wiley-Scrivener) (2024). p. 1–49. [Google Scholar]
- 89. Zughaibi TA, Suhail M, Tarique M, Tabrez S. Targeting PI3K/Akt/mTOR pathway by different flavonoids: a cancer chemopreventive approach. Int J Mol Sci. (2021) 22:12455. doi: 10.3390/ijms222212455 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Manach C, Donovan JL. Pharmacokinetics and metabolism of dietary flavonoids in humans. Free Radic Res. (2004) 38:771–85. doi: 10.1080/10715760410001727858 [DOI] [PubMed] [Google Scholar]
- 91. Manach C, Williamson G, Morand C, Scalbert A, Rémésy C. Bioavailability and bioefficacy of polyphenols in humans. I. Review of 97 bioavailability studies. Am J Clin Nutr. (2005) 81:230S–42S. doi: 10.1093/ajcn/81.1.230s [DOI] [PubMed] [Google Scholar]
- 92. Rust R, Chien C, Scheel M, Brandt AU, Dörr J, Wuerfel J, et al. Epigallocatechin gallate in progressive MS: A randomized, placebo controlled trial. Neurology: Neuroimmunology Neuroinflamm. (2021) 8:e964. doi: 10.1212/nxi.0000000000000964 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Lovera JF, Kim E, Heriza E, Fitzpatrick M, Hunziker J, Turner AP, et al. Ginkgo biloba does not improve cognitive function in MS: A randomized placebo controlled trial. Neurology. (2012) 79:1278–84. doi: 10.1212/wnl.0b013e31826aac60 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Kipp M, Clarner T, Dang J, Copray S, Beyer C. The cuprizone animal model: New insights into an old story. Acta Neuropathol. (2009) 118:723–36. doi: 10.1007/s00401-009-0591-3 [DOI] [PubMed] [Google Scholar]
- 95. Wang S, Xu S, Zhou J, Zhang L, Mao X, Yao X, et al. Luteolin transforms the polarity of bone marrow-derived macrophages to regulate the cytokine storm. J Inflammation. (2021) 18:21. doi: 10.1186/s12950-021-00285-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Zhang Y, Li X, Ciric B, Ma CG, Gran B, Rostami A, et al. Therapeutic effect of baicalin on experimental autoimmune encephalomyelitis is mediated by SOCS3 regulatory pathway. Sci Rep. (2015) 5:17407. doi: 10.1038/srep17407 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Fu YJ, Xu B, Huang SW, Luo X, Deng XL, Luo S, et al. Baicalin prevents LPS-induced activation of TLR4/NF-κB p65 pathway and inflammation in mice via inhibiting the expression of CD14. Acta Pharmacol Sin. (2021) 42:88–96. doi: 10.1038/s41401-020-0411-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98. Chi F, Cheng C, Liu K, Sun T, Zhang M, Hou Y, et al. Baicalein disrupts the KEAP1 NRF2 interaction to alleviate oxidative stress injury by inhibiting M1 macrophage polarization. Free Radical Biol Med. (2024) 227:557–69. doi: 10.1016/j.freeradbiomed.2024.12.036 [DOI] [PubMed] [Google Scholar]
- 99. Li X, Huang W, Tan R, Xu C, Chen X, Li S, et al. The benefits of hesperidin in central nervous system disorders, based on the neuroprotective effect. Biomedicine Pharmacotherapy. (2023) 159:114222. doi: 10.1016/j.biopha.2023.114222 [DOI] [PubMed] [Google Scholar]
- 100. Ginwala R, Bhavsar R, Moore P, Bernui M, Singh N, Bearoff F, et al. Apigenin modulates dendritic cell activities and curbs inflammation via RelB inhibition, reducing IL12, IL23 and IL17. J Neuroimmune Pharmacol. (2020) 16:403–24. doi: 10.1007/s11481-020-09933-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Feng X, Weng D, Zhou F, Owen YD, Qin H, Zhao J, et al. Activation of PPARγ by a natural flavonoid modulator, apigenin ameliorates obesity related inflammation via regulation of macrophage polarization. EBioMedicine. (2016) 9:61–76. doi: 10.1016/j.ebiom.2016.06.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. da Silva AB, Coelho PLC, Amparo JAO, de Almeida Carneiro MMA, Borges JMP, dos Santos Souza C, et al. The flavonoid rutin modulates microglial/macrophage activation to a CD150/CD206 M2 phenotype. Chem Biol Interact. (2017) 274:89–99. doi: 10.1016/j.cbi.2017.07.004 [DOI] [PubMed] [Google Scholar]
- 103. Su P, Liu L, Gong Y, Peng S, Yan X, Bai M, et al. Kaempferol improves depression like behaviors through shifting microglia polarization and suppressing NLRP3 via tilting the balance of PPARγ and STAT1 signaling. Int Immunopharmacol. (2024) 143:113538. doi: 10.1016/j.intimp.2024.113538 [DOI] [PubMed] [Google Scholar]
- 104. Calis Z, Mogulkoc R, Baltaci AK. The roles of flavonols/flavonoids in neurodegeneration and neuroinflammation. Mini-Rev Med Chem. (2020) 20:1518–28. doi: 10.2174/1389557519666190617150051 [DOI] [PubMed] [Google Scholar]
- 105. Shen N, Wang T, Gan Q, Liu S, Wang L, Jin B. Plant flavonoids: Classification, distribution, biosynthesis, and antioxidant activity. Food Chem. (2022) 383:132531. doi: 10.1016/j.foodchem.2022.132531 [DOI] [PubMed] [Google Scholar]
- 106. Chen S, Wang X, Cheng Y, Gao H, Chen X. A review of classification, biosynthesis, biological activities and potential applications of flavonoids. Molecules. (2023) 28:4982. doi: 10.3390/molecules28134982 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. Singh M, Kaur M, Silakari O. Flavones: An important scaffold for medicinal chemistry. Eur J Med Chem. (2014) 84:206–39. doi: 10.1016/j.ejmech.2014.07.013 [DOI] [PubMed] [Google Scholar]
- 108. Spagnuolo C, Moccia S, Russo GL. Anti-inflammatory effects of flavonoids in neurodegenerative disorders. Eur J Med Chem. (2018) 153:105–15. doi: 10.1016/j.ejmech.2017.09.001 [DOI] [PubMed] [Google Scholar]
- 109. Corradini E, Foglia P, Giansanti P, Gubbiotti R, Samperi R, Laganà A. Flavonoids: chemical properties and analytical methodologies of identification and quantitation in foods and plants. Nat Prod Res. (2011) 25:469–95. doi: 10.1080/14786419.2010.482054 [DOI] [PubMed] [Google Scholar]
- 110. Tan Z, Halter B, Liu D, Gilbert ER, Cline MA. Dietary flavonoids as modulators of lipid metabolism in poultry. Front Physiol. (2022) 13:863860. doi: 10.3389/fphys.2022.863860 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Krishnaswamy NR. Chemistry of Natural Products: A Unified Approach. Boca Raton, FL: CRC Press; (2010). [Google Scholar]
- 112. Özcan Ö, Aldemir O, Karabulut B. Flavones (apigenin, luteolin, chrysin) and their importance for health. Mellifera. (2020) 20:16–27. [Google Scholar]
- 113. Miean KH, Mohamed S. Flavonoid (myricetin, quercetin, kaempferol, luteolin, and apigenin) content of edible tropical plants. J Agric Food Chem. (2001) 49:3106–12. doi: 10.1021/jf000892m [DOI] [PubMed] [Google Scholar]
- 114. Tian Y, Xu W, Guang C, Zhang W, Mu W. Glycosylation of flavonoids by sucrose-and starch-utilizing glycoside hydrolases: A practical approach to enhance glycodiversification. Crit Rev Food Sci Nutr. (2024) 64:7408–25. doi: 10.1080/10408398.2023.2185201 [DOI] [PubMed] [Google Scholar]
- 115. Xiao J, Muzashvili TS, Georgiev MI. Advances in the biotechnological glycosylation of valuable flavonoids. Biotechnol Adv. (2014) 32:1145–56. doi: 10.1016/j.bioteChadv.2014.04.006 [DOI] [PubMed] [Google Scholar]
- 116. Courts FL, Williamson G. The occurrence, fate and biological activities of C-glycosyl flavonoids in the human diet. Crit Rev Food Sci Nutr. (2015) 55:1352–67. doi: 10.1080/10408398.2012.694497 [DOI] [PubMed] [Google Scholar]
- 117. Wright EM, Martín MG, Turk E. Intestinal absorption in health and disease—sugars. Best Pract Res Clin Gastroenterol. (2003) 17:943–56. doi: 10.1016/s1521-6918(03)00107-0 [DOI] [PubMed] [Google Scholar]
- 118. Balasa R, Barcutean L, Mosora O, Manu D. Reviewing the significance of blood–brain barrier disruption in multiple sclerosis pathology and treatment. Int J Mol Sci. (2021) 22:8370. doi: 10.3390/ijms22168370 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119. Isabel UV, Belén ADLRM, Elena GB. A new frontier in neuropharmacology: Recent progress in natural products research for blood–brain barrier crossing. Curr Res Biotechnol. (2024) 8:100235. doi: 10.1016/j.crbiot.2024.100235 38826717 [DOI] [Google Scholar]
- 120. Ribeiro D, Freitas M, Tomé SM, Silva AMS, Laufer S, Lima JLFC, et al. Flavonoids inhibit COX-1 and COX-2 enzymes and cytokine/chemokine production in human whole blood. Inflammation. (2015) 38:858–70. doi: 10.1007/s10753-014-9995-x [DOI] [PubMed] [Google Scholar]
- 121. Xie L, Deng Z, Zhang J, Dong H, Wang W, Xing B, et al. Comparison of flavonoid O-glycoside, C-glycoside and their aglycones on antioxidant capacity and metabolism during in vitro digestion and in vivo. Foods. (2022) 11:882. doi: 10.3390/foods11060882 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122. Kotter MR, Li WW, Zhao C, Franklin RJ. Adult oligodendrocyte precursor cells – multifaceted regulators of the CNS in health and disease. Trends Neurosci. (2006) 29:207–14. doi: 10.1016/j.bbi.2016.01.005 [DOI] [Google Scholar]
- 123. Liddelow SA, Guttenplan KA, Clarke LE, Bennett FC, Bohlen CJ, Schirmer L, et al. Neurotoxic reactive astrocytes are induced by activated microglia. Nature. (2017) 541:481–7. doi: 10.1038/nature21029 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Agrawal SM, Silva C, Yong VW. Mechanisms of pathogenesis in multiple sclerosis: Recent insights from immunology and neuroimaging. Lancet Neurol. (2008) 7:952–60. [Google Scholar]
- 125. Berer K, Mues M, Koutrolos M, Rasbi ZA, Boziki M, Johner C, et al. Gut microbiota from multiple sclerosis patients enables spontaneous autoimmune encephalomyelitis in mice. Proc Natl Acad Sci. (2017) 114:10719–24. doi: 10.1073/pnas.1711233114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126. Cekanaviciute E, Yoo BB, Runia TF, Debelius JW, Singh S, Nelson CA, et al. Gut bacteria from multiple sclerosis patients modulate immune responses and demyelination in mice. Proc Natl Acad Sci. (2017) 114:10718–23. doi: 10.1073/pnas.1711235114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127. O'Shea JJ, Plenge R. JAK and STAT signaling molecules in immunoregulation and immune-mediated disease. Immunity. (2012) 36:542–50. doi: 10.1016/j.immuni.2012.03.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128. Minagar A, Barnett MH, Benedict RH, Pelletier D, Pirko I, Sahraian MA, et al. The role of nitric oxide in multiple sclerosis. Multiple Sclerosis J. (2006) 12:151–67. [Google Scholar]
- 129. Chen J, Zhang Y, Li Y, Wang Y, Wang Q. PI3K/Akt and mTOR pathway involvement in neural stem cell proliferation and differentiation. J Neurosci Res. (2009) 87:1777–84. [Google Scholar]
- 130. Daniels MJ, Rivers-Auty J, Schilling T, Spencer NG, Watremez W, Fasolino V, et al. Fenamate NSAIDs inhibit the NLRP3 inflammasome and protect against Alzheimer’s disease in rodent models. Nat Commun. (2016) 7:12504. doi: 10.1038/ncomms12504 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131. Linker RA, Gold R, Lühder F. Fumaric acid esters exert neuroprotective effects in neuroinflammation via activation of the Nrf2 antioxidant pathway. Brain. (2011) 134:878–92. doi: 10.1093/brain/awq386 [DOI] [PubMed] [Google Scholar]
- 132. Fancy SP, Harrington EP, Yuen TJ, Silbereis JC, Zhao C, Baranzini SE, et al. Parallel states of pathological Wnt signaling in neonatal brain injury and colon cancer. Nat Neurosci. (2014) 17:506–12. doi: 10.1038/nn.3676 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Ye F, Wu J, Zhang Y, Zhang S, Zhang SC. Wnt signaling promotes neuronal differentiation from mesenchymal stem cells through activation of TCF/LEF transcription factors. Stem Cells. (2009) 27:836–42. doi: 10.1002/stem.624 [DOI] [Google Scholar]
- 134. Giuliani F, Goodyer CG, Antel JP, Yong VW. Gray matter antigen-specific T cells in patients with MS. Neurology. (2003) 61:103–5. [Google Scholar]
- 135. Mahad DH, Ziabreva I, Campbell G, Lax N, White K, Hanson PS, et al. Mitochondrial changes within axons in multiple sclerosis. Brain. (2008) 131:1913–24. doi: 10.1097/wco.0b013e3283533a25 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136. Deshpande A, Kao Y-C, Thakur MK. Epigenetic targets of flavonoids in the brain. Biochem Pharmacol. (2013) 85:724–32. [Google Scholar]
- 137. Kim HJ, Park HJ, Lee SK. Epigenetic regulation in autoimmune diseases: A therapeutic perspective. Autoimmun Rev. (2014) 13:1271–81. [Google Scholar]
- 138. Djelloul M, Hucke S, Klotz L. Autophagy in multiple sclerosis: From pathogenesis to therapeutic opportunities. Autophagy. (2015) 11:1086–95. [Google Scholar]
- 139. Liang C, Wang TT, Tang Y, Tang BL. Autophagic and apoptotic mechanisms cooperate to promote death of neurons in ex vivo spinal cord injury. Autophagy. (2008) 4:590–8. [Google Scholar]
- 140. Dutta R, Chang E, Gupta R, Kidd GJ, Ribaudo MV, Young EA, et al. Axonal damage correlates with disability in patients with relapsing-remitting multiple sclerosis. Ann Neurol. (2006) 59:566–74. doi: 10.1093/brain/121.8.1469 [DOI] [Google Scholar]
- 141. Wu Z, Guo Y, Zhang Y. Microtubule stabilization as a therapeutic strategy in axonopathies. Trends Mol Med. (2012) 18:276–85. [Google Scholar]
- 142. Cheng S, Gao H, Yang Y, Zhang M. Pharmacological diversity of flavonoids and their clinical application prospects in neurological disorders. Phytother Res. (2025) 39:5222–48. doi: 10.1002/ptr.70097 [DOI] [PubMed] [Google Scholar]
- 143. Yin LL, Lin LL, Zhang L, Li L. Epimedium flavonoids ameliorate experimental autoimmune encephalomyelitis in rats by modulating neuroinflammatory and neurotrophic responses. Exp Neurol. (2012) 238:1–10. doi: 10.1016/j.neuropharm.2012.06.025 [DOI] [PubMed] [Google Scholar]
- 144. Han L, Fu Q, Deng C, Luo L, Xiang T. Immunomodulatory potential of flavonoids for the treatment of autoimmune diseases and tumour. Scand J Immunol. (2022) 95:e13106. doi: 10.1111/sji.13106 40046247 [DOI] [Google Scholar]
- 145. Kelepouri D, Mavropoulos A. The role of flavonoids in inhibiting Th17 responses in inflammatory arthritis. J Immunol Res. (2018) 2018:9324357. doi: 10.1155/2018/9324357 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146. Khan H, Tundis R, Ullah H, Aschner M, Belwal T. Flavonoids targeting NRF2 in neurodegenerative disorders. Toxicol Appl Pharmacol. (2020) 406:115–23. doi: 10.1016/j.fct.2020.111817 [DOI] [PubMed] [Google Scholar]
- 147. Tonev D, Momchilova A. Oxidative stress and the nuclear factor erythroid 2-related factor 2 (Nrf2) pathway in multiple sclerosis: Focus on certain exogenous and endogenous Nrf2 activators. Int J Mol Sci. (2023) 24:17223. doi: 10.3390/ijms242417223 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148. Rito Y, Torre-Villalvazo I, Flores J. Epigenetics in multiple sclerosis: Molecular mechanisms and dietary intervention. CNS Neurological Disord - Drug Targets. (2018) 17:225–37. doi: 10.2174/1871524916666160226131842 [DOI] [PubMed] [Google Scholar]
- 149. Ashwani, Sharma A, Choudhary MK, Gugulothu D. Epigenetic and mitochondrial metabolic dysfunction in multiple sclerosis: A review of herbal drug approaches and current clinical trials. Mol Neurobiol. (2025) 62:10045–90. doi: 10.1007/s12035-025-04868-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150. Sanadgol N, Barati M, Houshmand F, Hassani S. Myelin recovery and ameliorates behavioral deficits in the animal model of multiple sclerosis via adjustment of AMPK/Nrf2/mTOR signaling and maintenance of mitochondrial integrity. Metab Brain Dis. (2020) 35:937–51. doi: 10.1007/s43440-019-00019-8 [DOI] [PubMed] [Google Scholar]
- 151. Zheng C, Chen J, Chu F, Zhu J, Jin T. Inflammatory role of TLR-MyD88 signaling in multiple sclerosis. Front Mol Neurosci. (2020) 12:314. doi: 10.3389/fnmol.2019.00314 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152. Liu M, Kang W, Hu Z, Wang C, Zhang Y. Targeting MyD88: Therapeutic mechanisms and potential in inflammatory diseases. Inflammation Res. (2023) 72:137–49. doi: 10.1007/s00011-023-01801-4 [DOI] [PubMed] [Google Scholar]
- 153. Li T, Li F, Liu X, Liu J, Li D. Synergistic anti-inflammatory effects of quercetin and catechin via inhibiting activation of TLR4-MyD88-mediated NF-κB and MAPK signaling pathways. Int Immunopharmacol. (2019) 75:105778. doi: 10.1002/ptr.6268 [DOI] [PubMed] [Google Scholar]
- 154. Byun EB, Choi HG, Sung NY, Byun EH. Green tea polyphenol epigallocatechin-3-gallate inhibits TLR4 signaling through the 67-kDa laminin receptor on LPS-stimulated dendritic cells. Biochem Biophys Res Commun. (2012) 426:426–32. doi: 10.1016/j.bbrc.2012.08.096 [DOI] [PubMed] [Google Scholar]
- 155. Dias AT, de Castro SBR, de Souza Alves CC, Evangelista MG, da Silva LC, Reis DRL, et al. Genistein modulates the expression of Toll-like receptors in experimental autoimmune encephalomyelitis. Inflammation Res. (2018) 67:597–608. doi: 10.1007/s00011-018-1146-7 [DOI] [PubMed] [Google Scholar]
- 156. Jeong JW, Lee HH, Han MH, Kim GY, Kim WJ, Choi YH. Anti-inflammatory effects of genistein via suppression of the toll-like receptor 4-mediated signaling pathway in lipopolysaccharide-stimulated BV2 microglia. Chem Biol Interact. (2014) 212:30–9. doi: 10.1016/j.cbi.2014.01.012 [DOI] [PubMed] [Google Scholar]
- 157. Nakamoto A, Hirabayashi Y, Anzaki C, Nakamoto M, Shuto E, Sakai T. Nobiletin suppresses the development of experimental autoimmune encephalomyelitis mediated by modulation of T helper 17 cell differentiation. J Clin Biochem Nutr. (2021) 69:145–50. doi: 10.3164/jcbn.20-178 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158. Chuang JMJ, Chen HL, Chang CI, Lin JS, Chang HM, Wu WJ, et al. Nobiletin derivative, 5-acetoxy-6, 7, 8, 3’, 4’-pentamethoxyflavone, inhibits neuroinflammation through the inhibition of TLR4/MyD88/MAPK signaling pathways and STAT3 in microglia. Immunopharmacol Immunotoxicol. (2024) 46:450–60. doi: 10.1080/08923973.2024.2360050 [DOI] [PubMed] [Google Scholar]
- 159. Yan J, Winterford CM, Catts VS, Pat BK, Pender MP, McCombe PA, et al. Increased constitutive activation of NF kappa B p65 in peripheral blood cells of patients with progressive multiple sclerosis. J Neuroimmunology. (2018) 320:111–16. doi: 10.1016/j.jneuroim.2018.04.002 [DOI] [PubMed] [Google Scholar]
- 160. Liu C, Cui G, Zhu M, Kang X, Guo H. Nuclear factor kappa B mediated inflammation in multiple sclerosis. Front Immunol. (2020) 11. doi: 10.3389/fimmu.2020.00391 [DOI] [Google Scholar]
- 161. Leibowitz SM, Yan J. NF kappa B pathways in the pathogenesis of multiple sclerosis and the therapeutic implications. Front Mol Neurosci. (2016) 9. doi: 10.3389/fnmol.2016.00084 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162. Ruan Q, Kameswaran V, Zhang Y, Zheng S, Sun J, Wang J, et al. The Th17 immune response is controlled by a Rel ROR gamma ROR gamma T transcriptional axis. J Exp Med. (2011) 208:2321–33. doi: 10.1084/jem.20110462 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163. Molinero LL, Cubre A, Mora-Solano C, Wang Y, Alegre ML. T cell receptor CARMA1 NF kappa B signaling controls Th17 differentiation. Proc Natl Acad Sci USA. (2012) 109:18529–34. doi: 10.1073/pnas.1204557109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164. Jobin C, Bradham CA, Russo MP, Juma B, Narula AS, Brenner DA, et al. Curcumin blocks cytokine mediated NF kappa B activation and proinflammatory gene expression. J Immunol. (1999) 163:3474–83. doi: 10.4049/jimmunol.163.6.3474 [DOI] [PubMed] [Google Scholar]
- 165. Xie L, Li XK, Funeshima-Fuji N, Kimura H, Matsumoto Y, Isaka Y, et al. Amelioration of experimental autoimmune encephalomyelitis by curcumin treatment is associated with reduced inflammatory cell infiltration in the spinal cord and improved clinical scores. Int Immunopharmacol. (2009) 9:575–81. doi: 10.1016/j.intimp.2009.01.025 [DOI] [PubMed] [Google Scholar]
- 166. Jin L, Zhang Y, Chen Y, Wang L, Huang X, Xu Q. Baicalin facilitates remyelination and suppresses neuroinflammation in cuprizone demyelination and EAE models. Front Immunol. (2023) 14:1178932. [Google Scholar]
- 167. Lee DH, Lee TH, Jung CH, Kim YS, Park JH. Neuroprotective effects of wogonin against inflammation and oxidative stress in experimental autoimmune encephalomyelitis. J Neuroimmunology. (2012) 245:87–95. 22261545 [Google Scholar]
- 168. Zhang L, Zhang X, Li X. Isoorientin enhances memory performance via upregulation of hippocampal BDNF through CREB phosphorylation. Neurochem Int. (2021) 144:104958. 33444675 [Google Scholar]
- 169. Li Q, Zhang J, Yang Y, Song H. Scutellarin protects against demyelination and mitochondrial dysfunction in a cuprizone-induced mouse model. Neurochem Int. (2019) 129:104482. 31170424 [Google Scholar]
- 170. Wang C, Guo Y, Wang C, Liang C. Vitexin protects neurons against NMDA-induced excitotoxicity through inhibition of NMDAR signaling. Neuropharmacology. (2019) 146:74–85. 30468798 [Google Scholar]
- 171. Zhao Y, Ma R, Zhang Y, Li J, Liu C. Luteolin improves cognitive function and increases hippocampal HSP70 expression in sleep-deprived mice. Neurochem Int. (2015) 89:19–27. [Google Scholar]
- 172. Yang L, Zhang J, Li Y, Xu C. Baicalin protects blood–brain barrier integrity and reduces BBB permeability through modulation of tight junction proteins and MMP-9 inhibition. Brain Res. (2020) 1727:146574. [Google Scholar]
- 173. Chen H, Wu J, Zhang C, Zhao J. Baicalin and kaempferol promote angiogenesis via activation of the VEGF/VEGFR2 pathway in endothelial cells. Phytomedicine. (2018) 48:170–80. [Google Scholar]
- 174. Chen XM, Bai Y, Zhong YJ, Xie XL, Long HW, Yang YY, et al. Wogonin has multiple anti cancer effects by regulating c Myc SKP2 Fbw7α and HDAC1 HDAC2 pathways and inducing apoptosis in human lung adenocarcinoma cell line A549. PloS One. (2013) 8:e79201. doi: 10.1371/journal.pone.0079201 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175. Srivastava A, Kumari A, Jagdale P, Ayanur A, Pant AB, Khanna VK. Potential of quercetin to protect cadmium induced cognitive deficits in rats by modulating NMDA receptor mediated downstream signaling and PI3K AKT Nrf2 ARE signaling pathways in hippocampus. NeuroMol Med. (2023) 25:426–40. doi: 10.1007/s12017-023-08747-0 [DOI] [PubMed] [Google Scholar]
- 176. Xie Y, Ouyang T, Xu A, Bian Q, Zhu B, Zhao M. Quercetin improves hippocampal neurogenesis in depression by regulating the level of let 7e 5p in microglia exosomes. Drug Des Dev Ther. (2025) 19:2189–203. doi: 10.2147/dddt.s493779 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177. Chiaravalloti ND, DeLuca J. Cognitive impairment in multiple sclerosis. Lancet Neurol. (2008) 7:1139–51. doi: 10.1016/s1474-4422(08)70259-x [DOI] [PubMed] [Google Scholar]
- 178. Ho L, Ferruzzi MG, Janle EM, Wang J, Gong B, Chen TY, et al. Identification of brain targeted bioactive dietary quercetin 3 O glucuronide as a novel intervention for Alzheimer’s disease. FASEB J. (2013) 27:769–81. doi: 10.1096/fj.12-212118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179. Liu B, Huang B, Hu G, He D, Li Y, Ran X, et al. Isovitexin mediated regulation of microglial polarization in lipopolysaccharide induced neuroinflammation via activation of the CaMKKβ/AMPK PGC 1α signaling axis. Front Immunol. (2019) 10:2650. doi: 10.3389/fimmu.2019.02650 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180. Zhang B, Wei YZ, Wang GQ, Li DD, Shi JS, Zhang F. Targeting MAPK pathways by naringenin modulates microglia M1/M2 polarization in lipopolysaccharide stimulated cultures. Front Cell Neurosci. (2018) 12:531. doi: 10.3389/fncel.2018.00531 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181. Jin X, Liu MY, Zhang DF, Zhong X, Du K, Qian P, et al. Baicalin mitigates cognitive impairment and protects neurons from microglia mediated neuroinflammation via suppressing NLRP3 inflammasomes and TLR4/NF κB signaling pathway. CNS Neurosci Ther. (2019) 25:575–90. doi: 10.1111/cns.13086 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182. Han X, Xu T, Fang Q, Zhang H, Yue L, Hu G, et al. Quercetin hinders microglial activation to alleviate neurotoxicity via the interplay between NLRP3 inflammasome and mitophagy. Redox Biol. (2021) 44:102010. doi: 10.1016/j.redox.2021.102010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183. Cignarella F, Filipello F, Bollman B, Cantoni C, Locca A, Mikesell R, et al. TREM2 activation on microglia promotes myelin debris clearance and remyelination in a model of multiple sclerosis. Acta Neuropathol. (2020) 140:513–34. doi: 10.1007/s00401-020-02193-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184. Saqib U, Sarkar S, Suk K, Mohammad O, Baig MS, Savai R. Phytochemicals as modulators of M1 M2 macrophages in inflammation. Oncotarget. (2018) 9:17937. doi: 10.18632/oncotarget.24788 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185. Kannan R, Almeida A, Singh P, Bhatia A. Flavonoids mitigate oxidative stress and gut barrier dysfunction through modulation of superoxide dismutase activity and epithelial regeneration. Front Pharmacol. (2025) 16:1432821. [Google Scholar]
- 186. Li L, Jiang W, Yu B, Liang H, Mao S, Hu X, et al. Quercetin improves cerebral ischemia/reperfusion injury by promoting microglia/macrophages M2 polarization via regulating PI3K/Akt/NF κB signaling pathway. Biomedicine Pharmacotherapy. (2023) 168:115653. doi: 10.1016/j.biopha.2023.115653 [DOI] [PubMed] [Google Scholar]
- 187. Coutinho-Wolino KS, Almeida PP, Mafra D, Stockler-Pinto MB. Bioactive compounds modulating Toll like 4 receptor TLR4 mediated inflammation: pathways involved and future perspectives. Nutr Res. (2022) 107:96–116. doi: 10.1016/j.nutres.2022.09.001 [DOI] [PubMed] [Google Scholar]
- 188. Liu P, Zhou Y, Shi J, Wang F, Yang X, Zheng X, et al. Myricetin improves pathological changes in 3× Tg AD mice by regulating the mitochondria NLRP3 inflammasome microglia channel by targeting P38 MAPK signaling pathway. Phytomedicine. (2023) 115:154801. doi: 10.1016/j.phymed.2023.154801 [DOI] [PubMed] [Google Scholar]
- 189. Kaewmool C, Udomruk S, Phitak T, Pothacharoen P, Kongtawelert P. Cyanidin 3 O glucoside protects PC12 cells against neuronal apoptosis mediated by LPS stimulated BV2 microglial activation. Neurotoxic Res. (2020) 37:111–25. doi: 10.1007/s12640-019-00102-1 [DOI] [PubMed] [Google Scholar]
- 190. Du ZR, Feng XQ, Li N, Qu JX, Feng L, Chen L, et al. G protein coupled estrogen receptor is involved in the anti inflammatory effects of genistein in microglia. Phytomedicine. (2018) 43:11–20. doi: 10.1016/j.phymed.2018.03.039 [DOI] [PubMed] [Google Scholar]
- 191. Yang F, Wen H, Ma S, Chang Q, Pan R, Liu X, et al. Icaritin promotes myelination by simultaneously enhancing the proliferation and differentiation of oligodendrocyte precursor cells. Molecules. (2023) 28:5837. doi: 10.3390/molecules28155837 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 192. Ai RS, Xing K, Deng X, Han JJ, Hao DX, Qi WH, et al. Baicalin promotes CNS remyelination via PPARγ signal pathway. Neurol Neuroimmunology Neuroinflamm. (2022) 9:e1142. doi: 10.1212/nxi.0000000000001142 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193. Wang Q, Wang Z, Li Y, Wang Q, Chen Y, Xu B, et al. Baicalein improves motor dysfunction and cognitive impairment while promoting remyelination in an animal model of multiple sclerosis through the antioxidant mechanism. Front Pharmacol. (2025) 16:1659631. doi: 10.3389/fphar.2025.1659631 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194. Zhao Q, Ma Y, Wang S. Scutellarin alleviates cuprizone induced demyelination by improving mitochondrial dysfunction, reducing lipid oxidation and inhibiting the p38 MAPK pathway. Antioxidants. (2025) 14:723. doi: 10.3390/antiox14060723 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195. Akone SH, Ntie Kang F, Stuhldreier F, Ewonkem MB, Mboene Noah A, Mouelle SEM, et al. Natural products impacting DNA methyltransferases and histone deacetylases. Front Pharmacol. (2020) 11:992. doi: 10.3389/fphar.2020.00992 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196. Cong H, Liang M, Wang Y, Chang H, Du L, Zhang X, et al. Icariin ameliorates the cuprizone induced acute brain demyelination and cognitive deficits in mice. Brain Res Bull. (2021) 173:18–28. doi: 10.1016/j.brainresbull.2021.07.010 [DOI] [PubMed] [Google Scholar]
- 197. Holt LM, Hernandez RD, Pacheco NL, Torres Ceja B, Hossain M, Olsen ML. Astrocyte morphogenesis is dependent on BDNF signaling via astrocytic TrkB.T1. eLife. (2019) 8:e44667. doi: 10.7554/elife.44667 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198. Albini M, Krawczun-Rygmaczewska A, Cesca F. Astrocytes and brain derived neurotrophic factor. Prog Neurobiol. (2023) 226:102357. doi: 10.1016/j.neures.2023.02.001 [DOI] [PubMed] [Google Scholar]
- 199. Liu G, Liang Y, Xu M, Sun M, Sun W, Zhou Y, et al. Protective mechanism of Erigeron breviscapus injection on the blood brain barrier after ischemic stroke in rat. Sci Rep. (2021) 11:10894. doi: 10.1038/s41598-021-97908-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 200. Hashimoto Y, Campbell M, Tachibana K, Okada Y, Kondoh M. Claudin 5: A pharmacological target to modify the permeability of the blood brain barrier. Biol Pharm Bull. (2021) 44:1380–90. doi: 10.1248/bpb.b21-00408 [DOI] [PubMed] [Google Scholar]
- 201. Ran Y, Qie S, Gao F, Ding Z, Yang S, Tian G, et al. Baicalein ameliorates ischemic brain damage through suppressing pro inflammatory microglial mediators and enhancing TGF β. Brain Res. (2021) 1769:147586. doi: 10.1016/j.brainres.2021.147626 [DOI] [PubMed] [Google Scholar]
- 202. Pan L, Cho KS, Wei X, Xu F, Lennikov A, Hu G, et al. IGFBPL1 is a master driver of microglia homeostasis and resolution of neuroinflammation via IGF 1 receptor signaling. Cell Rep. (2023) 42:112755. doi: 10.1016/j.celrep.2023.112889 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203. Carro E, Trejo JL, Torres Aleman I. Insulin like growth factor 1 and neuroinflammation. Front Aging Neurosci. (2017) 9:365. doi: 10.3389/fnagi.2017.00365 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204. Wu T, Sheng Y, Tian Y, Wang C. Vitexin regulates heat shock protein expression by modulating reactive oxygen species levels. Molecules. (2023) 28:7639. doi: 10.3390/molecules28227639 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 205. Lorenzo DN, Bennett V. Axonal spectrins: Nanoscale organization, functional domains, and spectrinopathy. Front Cell Neurosci. (2019) 13:234. doi: 10.3389/fncel.2019.00234 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206. Heller E, Kurup N, Zhuang X. The membrane skeleton is constitutively remodeled in neurons through calcium signaling and calpain mediated spectrin degradation. Science. (2024) 386:eadn6712. doi: 10.1126/science.adn6712 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 207. Long Y, Liu S, Wan J, Zhang Y, Li D, Yu S, et al. Brain targeted borneol baicalin liposome improves blood brain barrier penetration and anti inflammatory effects. Biomedicine Pharmacotherapy. (2023) 158:114262. doi: 10.1016/j.biopha.2023.114240 [DOI] [PubMed] [Google Scholar]
- 208. Oliveira AI, Pinho C, Sarmento B, Dias ACP. Quercetin biapigenin nanoparticles are effective to penetrate the blood brain barrier and protect brain cell lines from oxidative stress. Drug Delivery Trans Res. (2021) 11:2281–95. doi: 10.1007/s13346-021-00917-6 [DOI] [PubMed] [Google Scholar]
- 209. Wang Y, Luo W, Lin F, Liu W, Gu R. Epigallocatechin 3 gallate selenium nanoparticles for neuroprotection after spinal cord injury. Front Bioeng Biotechnol. (2022) 10:989602. doi: 10.3389/fbioe.2022.989602 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210. Wang H, Moyano AL, Ma Z, Deng Y, Lin Y, Zhao C, et al. miR 219 cooperates with miR 338 in myelination and promotes myelin repair. Dev Cell. (2017) 40:566–82.e5. doi: 10.1016/j.devcel.2017.03.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211. de Faria O Jr, Cui QL, Bin JM, Bull SJ, Kennedy TE, Bar-Or A, et al. Regulation of miRNA 219 and miRNA clusters 338 and 17 92 in oligodendrocytes in vivo and in vitro. Front Genet. (2012) 3:46. doi: 10.3389/fgene.2012.00046 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212. Zhou R, Li X, Chen H. Baicalin mitigates neuroinflammation through the TLR4 MyD88 NF kappa B and MAPK pathways and inhibits miR 155 in BV 2 microglia. BioMed Res Int. (2022) 2022:3263446. doi: 10.1155/2022/3263446 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 213. Zhang Q, Song W, Zhao B, Xie J, Sun Q, Shi X, et al. Quercetin attenuates diabetic peripheral neuropathy by correcting mitochondrial dysfunction via AMPK PGC 1α signaling. Front Neurosci. (2021) 15:636172. doi: 10.3389/fnins.2021.636172 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214. Yuan Y, Tian Y, Jiang H, Cai LY, Song J, Peng R, et al. Mechanism of PGC 1α mediated mitochondrial biogenesis in cerebral ischemia. Front Mol Neurosci. (2023) 16:1224964. doi: 10.3389/fnmol.2023.1224964 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 215. Ghiasian M, Nafisi H, Ranjbar A. Antioxidative effects of silymarin on the reduction of liver complications of fingolimod in patients with relapsing remitting multiple sclerosis: A clinical trial study. J Biochem Toxicol. (2021) 35:e22800. doi: 10.1002/jbt.22800 [DOI] [PubMed] [Google Scholar]
- 216. Petersen MJ, Bergien SO, Staerk D. A systematic review of possible interactions for herbal medicines and dietary supplements used concomitantly with disease‐modifying or symptom‐alleviating multiple sclerosis drugs. Phytother Res. (2021) 35:3610–31. doi: 10.1002/ptr.7050 [DOI] [PubMed] [Google Scholar]
- 217. Matteo P, Federico D, Emanuela M, Giulia R. New and old horizons for an ancient drug: Pharmacokinetics, pharmacodynamics, and clinical perspectives of dimethyl fumarate. Pharmaceutics. (2022) 14:2732. doi: 10.3390/pharmaceutics14122732 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 218. Bhattacharjee S, Dashwood RH. Epigenetic regulation of NRF2 KEAP1 by phytochemicals. Antioxidants. (2020) 9:865. doi: 10.3390/antiox9090865 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 219. Thiruvengadam M, Venkidasamy B, Subramanian U. Bioactive compounds in oxidative stress mediated diseases: Targeting the NRF2 ARE signaling pathway and epigenetic regulation. Antioxidants. (2021) 10:1859. doi: 10.3390/antiox10121859 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220. Bresciani G, Manai F, Davinelli S, Tucci P, Saso L, Amadio M. Novel potential pharmacological applications of dimethyl fumarate—an overview and update. Front Pharmacol. (2023) 14:1264842. doi: 10.3389/fphar.2023.1264842 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 221. Ferreira A, Pousinho S, Fortuna A, Falcão A, Alves G. Flavonoid compounds as reversal agents of the P glycoprotein mediated multidrug resistance: Biology, chemistry and pharmacology. Phytochem Rev. (2015) 14:233–72. doi: 10.1007/s11101-014-9358-0 30311153 [DOI] [Google Scholar]
- 222. Stamatellos VP, Papazisis G. Safety and monitoring of the treatment with disease modifying therapies for multiple sclerosis. Curr Rev Clin Exp Pharmacol. (2023) 18:39–50. doi: 10.2174/2772432817666220412110720 [DOI] [PubMed] [Google Scholar]
- 223. Millward JM, Herges K, Zipp F, Lühder F. Combining glatiramer acetate with epigallocatechin 3 gallate fails to further ameliorate chronic experimental autoimmune encephalomyelitis. J Neuroimmunology. (2015) 278:255–62. [Google Scholar]
- 224. Bellmann Strobl J, Paul F, Witte AV, Flachenecker P. Epigallocatechin gallate in relapsing remitting multiple sclerosis: A randomized, placebo controlled phase II trial. Multiple Sclerosis J. (2021) 27:1577–85. doi: 10.1212/NXI.0000000000000981 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 225. Mähler A, Steiniger J, Bock M, Klug L, Parreidt N, Lorenz M, et al. Metabolic response to epigallocatechin-3-gallate in relapsing-remitting multiple sclerosis: a randomized clinical trial. Am J Clin Nutr. (2015) 101:487–95. doi: 10.3945/ajcn.113.075309 [DOI] [PubMed] [Google Scholar]
- 226. Sternberg Z, Chadha K, Nir A, Chuang K, Drake A. Luteolin and interferon β synergistically suppress inflammatory responses in multiple sclerosis patient derived immune cells. J Neuroimmunology. (2009) 207:85–92. doi: 10.1186/1742-2094-6-28 [DOI] [Google Scholar]
- 227. Wingerchuk DM, Carter JL. Multiple sclerosis: Current and emerging disease modifying therapies and treatment strategies. Mayo Clinic Proc. (2014) 89:225–40. doi: 10.1016/j.mayocp.2013.11.002 [DOI] [PubMed] [Google Scholar]
- 228. Freeman L, Longbrake EE, Coyle PK, Hendin B, Vollmer T. High efficacy therapies for treatment naïve individuals with relapsing remitting multiple sclerosis. CNS Drugs. (2022) 36:1285–99. doi: 10.1007/s40263-022-00965-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229. Magni G, Riboldi B, Petroni K, Ceruti S. Flavonoids bridging the gut and the brain: Intestinal metabolic fate, and direct or indirect effects of natural supporters against neuroinflammation and neurodegeneration. Biochem Pharmacol. (2022) 205:115257. doi: 10.1016/j.bcp.2022.115257 [DOI] [PubMed] [Google Scholar]
- 230. Kim S, Choi M, Lee H, Na S. PhosR enables processing and functional analysis of phosphoproteomic data. Cell Rep. (2021) 36:108771. doi: 10.2139/ssrn.3628295 [DOI] [PubMed] [Google Scholar]
- 231. D’Archivio M, Filesi C, Varì R, Scazzocchio B, Masella R. Bioavailability of the polyphenols: Status and controversies. Int J Mol Sci. (2010) 11:1321–42. doi: 10.3390/ijms11041321 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232. U.S. Food and Drug Administration . Generally recognized as safe GRAS. (2023). [Google Scholar]
- 233. Youdim KA, Shukitt Hale B, Joseph JA. Flavonoids and the brain: Interactions at the blood brain barrier and their physiological effects on the central nervous system. Free Radical Biol Med. (2004) 37:1683–93. doi: 10.1016/j.freeradbiomed.2004.08.002 [DOI] [PubMed] [Google Scholar]
- 234. U.S. Food and Drug Administration . Clinical drug interaction studies cytochrome P450 enzyme and transporter mediated drug interactions: Guidance for industry. (2020). [Google Scholar]
- 235. Liu Y, Liang Y, Yuhong J, Xin P, Han JL, Du Y, et al. Advances in nanotechnology for enhancing the solubility and bioavailability of poorly soluble drugs. Drug Des Dev Ther. (2024) 18:1469–95. doi: 10.2147/dddt.s447496 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236. Nikvarz N, Sedighi B, Ansari M, Shahdizade S, Shojaei R, Sharififar F. Medicinal plants used in multiple sclerosis patients: Prevalence and associated factors. BMC Complementary Med Ther. (2024) 24:278. doi: 10.1186/s12906-024-04587-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237. Jäkel S, Agirre E, Falcão AM, van Bruggen D, Lee KW, Knuesel I, et al. Altered human oligodendrocyte heterogeneity in multiple sclerosis. Nature. (2019) 566:543–7. doi: 10.1038/s41586-019-0903-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238. Macnair W, Calini D, Needham EJ, Cambiaghi M, Jäkel S, Menezes KA, et al. snRNA seq stratifies multiple sclerosis patients into distinct white matter glial programs. Neuron. (2024) 113:396–410. doi: 10.1016/j.neuron.2024.11.016 [DOI] [PubMed] [Google Scholar]
- 239. Lerma Martin SP, Egervari G, Jayasinghe SN, Ung R, Keough MB, Ueberheide B, et al. Cell type mapping reveals tissue niches and interactions in subcortical multiple sclerosis lesions. Nat Neurosci. (2024) 27:1886–900. doi: 10.1038/s41593-024-01796-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 240. Chen M, Bux L, Lee JH, Kim S, Gosselin D. Spatially resolved gene signatures of white matter lesion progression in multiple sclerosis. Nat Neurosci. (2024) 27:1705–19. doi: 10.1038/s41593-024-01765-6 [DOI] [PubMed] [Google Scholar]
- 241. Aebersold R, Mann M. Mass spectrometric exploration of proteome structure and function. Nature. (2016) 537:347–55. doi: 10.1038/nature19949 [DOI] [PubMed] [Google Scholar]
- 242. Fröhlich K, Fahrner M, Brombacher E, Seredynska A, Maldacker M, Kreutz C, et al. Data independent acquisition: A milestone and prospect in clinical mass spectrometry based proteomics. Mol Cell Proteomics. (2024) 23:100800. doi: 10.1016/j.mcpro.2024.100800 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243. Smit KPM, Li KW, González Lozano MA, Smit AB. Recent developments in data independent acquisition mass spectrometry: Application to neuroproteomics. Front Mol Neurosci. (2020) 13:564446. doi: 10.3389/fnmol.2020.564446 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 244. Chatterjee S, Hughes CS. A tutorial review of labeling methods in MS based proteomics. ACS Measurement Sci Au. (2024) 4:252–71. doi: 10.1021/acsmeasuresciau.4c00007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 245. Saraiva C, Praça C, Ferreira R, Santos T, Ferreira L, Bernardino L. Nanoparticle mediated brain drug delivery: Overcoming blood brain barrier to treat neurodegenerative diseases. J Controlled Release. (2016) 235:34–47. doi: 10.1016/j.jconrel.2016.05.044 [DOI] [PubMed] [Google Scholar]
- 246. Pinheiro RGR, Granja A, Loureiro JA, Pereira MC, Pinheiro M, Neves AR, et al. Quercetin lipid nanoparticles functionalized with transferrin for Alzheimer’s disease. Eur J Pharm Sci. (2020) 148:105314. doi: 10.1016/j.ejps.2020.105314 [DOI] [PubMed] [Google Scholar]
- 247. Pinheiro RGR, Granja A, Loureiro JA, Pereira MC, Pinheiro M, Neves AR, et al. RVG29 functionalized lipid nanoparticles for quercetin brain delivery and Alzheimer’s disease. Pharm Res. (2020) 37:139. doi: 10.1007/s11095-020-02865-1 [DOI] [PubMed] [Google Scholar]
- 248. Teleanu DM, Negut I, Grumezescu V, Oprea AE, Grumezescu AM. Nanomaterials for drug delivery to the brain: Targeting strategies and responsive systems. Int J Biol Macromol. (2021) 183:1058–77. [Google Scholar]
- 249. Mullowney MW, Šícho M, Blin K, Shaw S, van Santen JA, Schaffer M, et al. Artificial intelligence for natural product drug discovery. Nat Rev Drug Discov. (2023) 22:553–72. doi: 10.1038/s41573-023-00774-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 250. Ianevski A, Giri AK, Gautam P, Kononov A, Potdar S, Saarela J, et al. SynergyFinder 3.0: An interactive platform for multi drug combination profiling with deep learning based synergy scoring. Nucleic Acids Res. (2022) 50:W739–43. doi: 10.1093/nar/gkac382 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 251. Koirala A, Wei J, Wang F. Graph neural networks for predicting synergistic drug combinations: A review. Artif Intell Rev. (2023) 56:11973–2010. doi: 10.1007/s10462-023-10669-z [DOI] [Google Scholar]
- 252. Zhang F, Wang Z, Chen H, Li X. DeepTraSynergy: Drug combinations using multimodal deep learning with transformers. Bioinformatics. (2023) 39:btad438. doi: 10.1093/bioinformatics/btad438 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 253. Alqahtani M, Alzamil Z, Alrashed A, Aleid T, Alqahtani A. Predicting blood brain barrier permeability using large language models and molecular descriptors. Sci Rep. (2024) 14:14321. doi: 10.1038/s41598-024-66897-y 38906904 [DOI] [Google Scholar]
- 254. Fang MZ, Wang Y, Ai N, Hou Z, Sun Y, Lu H, et al. Tea polyphenol epigallocatechin 3 gallate inhibits DNA methyltransferase and reactivates methylation silenced genes in cancer cells. Cancer Res. (2003) 63:7563–70. [PubMed] [Google Scholar]
- 255. Khan H, Ullah H, Aschner M, Cheang WS. Targeting DNA methyltransferases for cancer therapy: Mechanisms, challenges and opportunities. Life Sci. (2024) 339:121085. doi: 10.1016/j.bioorg.2024.107652 [DOI] [Google Scholar]
- 256. Scicchitano S, Constanzo M, Panebianco C, Bonfiglio C, Albano F, Laface C. Quercetin, epigallocatechin 3 gallate, curcumin and resveratrol: From dietary sources to human microRNA modulation. Molecules. (2020) 25:63. doi: 10.3390/molecules25010063 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 257. Jangi S, Gandhi R, Cox LM, Li N, von Glehn F, Yan R, et al. Alterations of the human gut microbiome in multiple sclerosis. Nat Commun. (2016) 7:12015. doi: 10.1038/ncomms12015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 258. iMSMS Consortium . Gut microbiome of multiple sclerosis patients and paired household healthy controls reveal associations with disease risk and course. Cell. (2022) 185:3467–86.e16. doi: 10.1016/j.cell.2022.08.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 259. Wang J, Chen C, Guo Q, Gu Y, Shi TQ. Advances in flavonoid and derivative biosynthesis: Systematic strategies for the construction of yeast cell factories. ACS Synth Biol. (2024) 13:2667–83. doi: 10.1021/acssynbio.4c00383 [DOI] [PubMed] [Google Scholar]
- 260. Isogai Y, Tominaga S, Kondo A, Ishii J. Plant flavonoid production in bacteria and yeasts. Front Chem Eng. (2022) 4:880694. doi: 10.3389/fceng.2022.880694 [DOI] [Google Scholar]
- 261. Jones JA, Vernacchio VR, Sinkoe AL, Collins SM, Ibrahim MHA, Hosseini V, et al. Engineering Escherichia coli toward de novo production of gatekeeper flavanones. Synth Biol. (2020) 5:ysaa012. doi: 10.1016/b978-012551570-2/50007-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 262. Isabella VM, Ha BN, Castillo MJ, Lubkowicz DJ, Rowe SE, Millet YA, et al. Development of a synthetic live bacterial therapeutic for the human metabolic disease phenylketonuria. Nat Biotechnol. (2018) 36:857–64. doi: 10.1038/nbt.4222 [DOI] [PubMed] [Google Scholar]
- 263. Riglar DT, Silver PA. Emerging strategies for engineering Escherichia coli Nissle 1917 based living therapeutics. Trends Pharmacol Sci. (2022) 43:459–72. doi: 10.1016/j.tips.2022.02.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 264. Mays ZJS, Nair NU. Microbiome engineering: Engineered live biotherapeutic products for precision medicine. Front Bioeng Biotechnol. (2022) 10:1000873. doi: 10.3389/fbioe.2022.1000873 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 265. Dinh CV, Taghinezhad SS, Li S, Kong W, Brynildsen MP. Engineering a probiotic toolkit in Escherichia coli Nissle 1917 for inflammation responsive therapeutic delivery. ACS Synth Biol. (2024) 13:1480–94. doi: 10.1021/acssynbio.4c00036 [DOI] [Google Scholar]
- 266. Pappalardo F, Giudice ML, Angius A, Garcia Ojalvo J, Ibañez A. Multiscale networks in multiple sclerosis. PloS Comput Biol. (2023) 19:e1010980. doi: 10.1371/journal.pcbi.1010980 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 267. Hasin Y, Seldin M, Lusis A. Multi tissue multi omics systems biology to dissect complex diseases. Trends Mol Med. (2020) 26:718–31. doi: 10.1016/j.molmed.2020.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 268. Bhatia SN, Ingber DE. Microfluidic organs on chips. Nat Biotechnol. (2014) 32:760–72 doi: 10.1038/nbt.2989. [DOI] [PubMed] [Google Scholar]
- 269. Nair AL, Groenendijk L, Overdevest R, Fowke TM, Annida R, Mocellin O, et al. Human BBB on a chip reveals barrier disruption, endothelial inflammation, and T cell migration under neuroinflammatory conditions. Front Mol Neurosci. (2023) 16:1250123. doi: 10.3389/fnmol.2023.1250123 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 270. Wevers NR, de Vries HE. Microfluidic models of the neurovascular unit: A translational view. Fluids Barriers CNS. (2023) 20:68. doi: 10.1186/s12987-023-00490-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 271. Vatine GD, Barrile R, Workman MJ, Sances S, Barriga BK, Rahnama M, et al. Human iPSC derived blood brain barrier chips enable disease modeling and personalized medicine applications. Cell Stem Cell. (2019) 24:995–1005.e6. doi: 10.1016/j.stem.2019.05.011 [DOI] [PubMed] [Google Scholar]
- 272. t Hart BA, Gran B, Weissert R. EAE: Imperfect but useful models of multiple sclerosis. Trends Mol Med. (2011) 17:119–25. doi: 10.1016/j.molmed.2010.11.006 [DOI] [PubMed] [Google Scholar]
- 273. Lassmann H, Bradl M. Multiple sclerosis: Experimental models and reality. Acta Neuropathol. (2017) 133:223–44. doi: 10.1007/s00401-016-1631-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 274. Skripuletz T, Gudi V, Hackstette D, Stangel M. De and remyelination in the CNS white and grey matter induced by cuprizone: The old, the new, and the unexpected. Histol Histopathol. (2011) 26:1585–97. doi: 10.14670/HH-26.1585 [DOI] [PubMed] [Google Scholar]
- 275. Janssen A, Fiebiger S, Bros H, Hertwig L, Romero Suarez S, Hamann I, et al. Treatment of chronic experimental autoimmune encephalomyelitis with epigallocatechin 3 gallate and glatiramer acetate alters expression of heme oxygenase 1. PloS One. (2015) 10:e0130251. doi: 10.1371/journal.pone.0130251 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 276. Graefe EU, Wittig J, Mueller S, Riethling AK, Uehleke B, Drewelow B, et al. Pharmacokinetics and bioavailability of quercetin glycosides in humans. J Clin Pharmacol. (2001) 41:492–9. doi: 10.1177/00912700122010366 [DOI] [PubMed] [Google Scholar]
- 277. Mullen W, Edwards CA, Crozier A. Absorption, excretion and metabolite profiling of methyl, glucuronyl, glucosyl and sulpho conjugates of quercetin in human plasma and urine after ingestion of onions. Br J Nutr. (2006) 96:107–16. doi: 10.1079/bjn20061809 [DOI] [PubMed] [Google Scholar]








