Cues of Trained Immunity in Multiple Sclerosis Macrophages
Abstract
1. Introduction
2. Mechanisms of Trained Immunity
2.1. Metabolic Shift
2.2. Epigenetic Reprogramming
2.3. Metabolo-Epigenetics
2.4. Cytokine Expression
3. Trained Immunity in MS: A New Perspective
3.1. Monocyte Populations More Prone to Inflammation
3.2. Altered Metabolism
3.3. Epigenetics Insight into MS
3.4. Elevated Cytokine Secretion
4. Risks Factors of Trained Immunity in MS
4.1. Epstein-Barr Virus (EBV)
4.2. Western Diet
5. Therapeutic Implications: Harnessing Trained Immunity for Repair
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| AAA | aromatic amino acid |
| ARMSS | Age-Related Multiple Sclerosis Severity |
| BBB | blood–brain barrier |
| BCG | Bacille Calmette-Guérin |
| CIS | clinically isolated syndrome |
| CNS | central nervous system |
| CSF | cerebrospinal fluid |
| CMV | cytomegalovirus |
| EAE | experimental autoimmune encephalomyelitis |
| EBNA | EBV nuclear-antigen |
| EBV | Epstein-Barr virus |
| EDSS | Expanded Disability Status Scale |
| GC | glucocorticoid |
| GR | glucocorticoid receptor |
| HC | healthy control |
| HERV | human endogenous retrovirus |
| HK2 | hexokinase 2 |
| HSC | hematopoietic stem cell |
| LncRNA | long non-coding RNA |
| MiRNA | microRNA |
| MS | multiple sclerosis |
| OPC | oligodendrocyte precursor cell |
| OXPHOS | oxidative phosphorylation |
| PBMC | peripheral blood mononuclear cell |
| PDH | pyruvate dehydrogenase |
| PFKP | phosphofructokinase, platelet type |
| PKM2 | pyruvate kinase M2 |
| PPMS | primary progressive MS |
| RRMS | relapsing-remitting MS |
| SNP | single nucleotide polymorphism |
| TCA | tricarboxylic acid |
| UMLILO | upstream master lncRNA of the inflammatory chemokine locus |
| 2DG | 2-deoxy-D-glucose |
References
- Netea, M.G.; Quintin, J.; van der Meer, J.W. Trained immunity: A memory for innate host defense. Cell Host Microbe 2011, 9, 355–361. [Google Scholar] [CrossRef] [PubMed]
- Chen, J.; Gao, L.; Wu, X.; Fan, Y.; Liu, M.; Peng, L.; Song, J.; Li, B.; Liu, A.; Bao, F. BCG-induced trained immunity: History, mechanisms and potential applications. J. Transl. Med. 2023, 21, 106. [Google Scholar] [CrossRef] [PubMed]
- Moorlag, S.J.C.F.M.; Folkman, L.; Ter Horst, R.; Krausgruber, T.; Barreca, D.; Schuster, L.C.; Fife, V.; Matzaraki, V.; Li, W.; Reichl, S.; et al. Multi-omics analysis of innate and adaptive responses to BCG vaccination reveals epigenetic cell states that predict trained immunity. Immunity 2024, 57, 171–187.e14. [Google Scholar] [CrossRef] [PubMed]
- Mora, V.P.; Loaiza, R.A.; Soto, J.A.; Bohmwald, K.; Kalergis, A.M. Involvement of trained immunity during autoimmune responses. J. Autoimmun. 2023, 102956. [Google Scholar] [CrossRef]
- Riksen, N.P. Trained immunity and atherosclerotic cardiovascular disease. Curr. Opin. Lipidol. 2019, 30, 395–400. [Google Scholar] [CrossRef]
- Flores-Gomez, D.; Bekkering, S.; Netea, M.G.; Riksen, N.P. Trained Immunity in Atherosclerotic Cardiovascular Disease. Arterioscler. Thromb. Vasc. Biol. 2021, 41, 62–69. [Google Scholar] [CrossRef]
- Kelly, B.; O’Neill, L.A. Metabolic reprogramming in macrophages and dendritic cells in innate immunity. Cell Res. 2015, 25, 771–784. [Google Scholar] [CrossRef]
- Cheng, S.C.; Quintin, J.; Cramer, R.A.; Shepardson, K.M.; Saeed, S.; Kumar, V.; Giamarellos-Bourboulis, E.J.; Martens, J.H.; Rao, N.A.; Aghajanirefah, A.; et al. mTOR- and HIF-1α-mediated aerobic glycolysis as metabolic basis for trained immunity. Science 2014, 345, 1250684. [Google Scholar] [CrossRef]
- Aarup, A.; Pedersen, T.X.; Junker, N.; Christoffersen, C.; Bartels, E.D.; Madsen, M.; Nielsen, C.H.; Nielsen, L.B. Hypoxia-Inducible Factor-1α Expression in Macrophages Promotes Development of Atherosclerosis. Arterioscler. Thromb. Vasc. Biol. 2016, 36, 1782–1790. [Google Scholar] [CrossRef]
- Sarrazy, V.; Viaud, M.; Westerterp, M.; Ivanov, S.; Giorgetti-Peraldi, S.; Guinamard, R.; Gautier, E.L.; Thorp, E.B.; De Vivo, D.C.; Yvan-Charvet, L. Disruption of Glut1 in Hematopoietic Stem Cells Prevents Myelopoiesis and Enhanced Glucose Flux in Atheromatous Plaques of ApoE(-/-) Mice. Circ Res. 2016, 118, 1062–1077. [Google Scholar] [CrossRef]
- Xu, Y.; Chen, Y.; Zhang, X.; Ma, J.; Liu, Y.; Cui, L.; Wang, F. Glycolysis in Innate Immune Cells Contributes to Autoimmunity. Front Immunol. 2022, 13, 920029. [Google Scholar] [CrossRef] [PubMed]
- Arts, R.J.W.; Carvalho, A.; La Rocca, C.; Palma, C.; Rodrigues, F.; Silvestre, R.; Kleinnijenhuis, J.; Lachmandas, E.; Gonçalves, L.G.; Belinha, A.; et al. Immunometabolic Pathways in BCG-Induced Trained Immunity. Cell Rep. 2016, 17, 2562–2571. [Google Scholar] [CrossRef] [PubMed]
- Arts, R.J.; Novakovic, B.; Ter Horst, R.; Carvalho, A.; Bekkering, S.; Lachmandas, E.; Rodrigues, F.; Silvestre, R.; Cheng, S.C.; Wang, S.Y.; et al. Glutaminolysis and Fumarate Accumulation Integrate Immunometabolic and Epigenetic Programs in Trained Immunity. Cell Metab. 2016, 24, 807–819. [Google Scholar] [CrossRef] [PubMed]
- Tannahill, G.M.; Curtis, A.M.; Adamik, J.; Palsson-McDermott, E.M.; McGettrick, A.F.; Goel, G.; Frezza, C.; Bernard, N.J.; Kelly, B.; Foley, N.H.; et al. Succinate is an inflammatory signal that induces IL-1β through HIF-1α. Nature 2013, 496, 238–242. [Google Scholar] [CrossRef]
- Cai, H.; Chen, X.; Liu, Y.; Chen, Y.; Zhong, G.; Chen, X.; Rong, S.; Zeng, H.; Zhang, L.; Li, Z.; et al. Lactate activates trained immunity by fueling the tricarboxylic acid cycle and regulating histone lactylation. Nat. Commun. 2025, 16, 3230. [Google Scholar] [CrossRef]
- Quintin, J.; Saeed, S.; Martens, J.H.A.; Giamarellos-Bourboulis, E.J.; Ifrim, D.C.; Logie, C.; Jacobs, L.; Jansen, T.; Kullberg, B.J.; Wijmenga, C.; et al. Candida albicans infection affords protection against reinfection via functional reprogramming of monocytes. Cell Host Microbe 2012, 12, 223–232. [Google Scholar] [CrossRef]
- Saeed, S.; Quintin, J.; Kerstens, H.H.; Rao, N.A.; Aghajanirefah, A.; Matarese, F.; Cheng, S.C.; Ratter, J.; Berentsen, K.; van der Ent, M.A.; et al. Epigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity. Science. 2014, 345, 1251086. [Google Scholar] [CrossRef]
- Mattick, J.S.; Amaral, P.P.; Carninci, P.; Carpenter, S.; Chang, H.Y.; Chen, L.L.; Chen, R.; Dean, C.; Dinger, M.E.; Fitzgerald, K.A.; et al. Long non-coding RNAs: Definitions, functions, challenges and recommendations. Nat. Rev. Mol. Cell Biol. 2023, 24, 430–447. [Google Scholar] [CrossRef]
- Maass, P.G.; Luft, F.C.; Bähring, S. Long non-coding RNA in health and disease. J. Mol. Med. 2014, 92, 337–346. [Google Scholar] [CrossRef]
- Fanucchi, S.; Fok, E.T.; Dalla, E.; Shibayama, Y.; Börner, K.; Chang, E.Y.; Stoychev, S.; Imakaev, M.; Grimm, D.; Wang, K.C.; et al. Immune genes are primed for robust transcription by proximal long noncoding RNAs located in nuclear compartments. Nat. Genet. 2019, 51, 138–150. [Google Scholar] [CrossRef]
- Fanucchi, S.; Domínguez-Andrés, J.; Joosten, L.A.B.; Netea, M.G.; Mhlanga, M.M. The Intersection of Epigenetics and Metabolism in Trained Immunity. Immunity 2021, 54, 32–43. [Google Scholar] [CrossRef] [PubMed]
- Bekkering, S.; Quintin, J.; Joosten, L.A.; van der Meer, J.W.; Netea, M.G.; Riksen, N.P. Oxidized low-density lipoprotein induces long-term proinflammatory cytokine production and foam cell formation via epigenetic reprogramming of monocytes. Arterioscler. Thromb. Vasc. Biol. 2014, 34, 1731–1738. [Google Scholar] [CrossRef] [PubMed]
- Franklin, R.J.M.; Simons, M. CNS remyelination and inflammation: From basic mechanisms to therapeutic opportunities. Neuron 2022, 110, 3549–3565. [Google Scholar] [CrossRef] [PubMed]
- Waschbisch, A.; Schröder, S.; Schraudner, D.; Sammet, L.; Weksler, B.; Melms, A.; Pfeifenbring, S.; Stadelmann, C.; Schwab, S.; Linker, R.A. Pivotal Role for CD16+ Monocytes in Immune Surveillance of the Central Nervous System. J. Immunol. 2016, 196, 1558–1567. [Google Scholar] [CrossRef]
- Haschka, D.; Tymoszuk, P.; Bsteh, G.; Petzer, V.; Berek, K.; Theurl, I.; Berger, T.; Weiss, G. Expansion of Neutrophils and Classical and Nonclassical Monocytes as a Hallmark in Relapsing-Remitting Multiple Sclerosis. Front Immunol. 2020, 11, 594. [Google Scholar] [CrossRef]
- Gjelstrup, M.C.; Stilund, M.; Petersen, T.; Møller, H.J.; Petersen, E.L.; Christensen, T. Subsets of activated monocytes and markers of inflammation in incipient and progressed multiple sclerosis. Immunol. Cell Biol. 2018, 96, 160–174. [Google Scholar] [CrossRef]
- Chuluundorj, D.; Harding, S.A.; Abernethy, D.; La Flamme, A.C. Expansion and preferential activation of the CD14(+)CD16(+) monocyte subset during multiple sclerosis. Immunol. Cell Biol. 2014, 92, 509–517. [Google Scholar] [CrossRef]
- Chuluundorj, D.; Harding, S.A.; Abernethy, D.; La Flamme, A.C. Glatiramer acetate treatment normalized the monocyte activation profile in MS patients to that of healthy controls. Immunol. Cell Biol. 2017, 95, 297–305. [Google Scholar] [CrossRef]
- Carstensen, M.; Christensen, T.; Stilund, M.; Møller, H.J.; Petersen, E.L.; Petersen, T. Activated monocytes and markers of inflammation in newly diagnosed multiple sclerosis. Immunol. Cell Biol. 2020, 98, 549–562. [Google Scholar] [CrossRef]
- Fransson, J.; Bachelin, C.; Ichou, F.; Guillot-Noël, L.; Ponnaiah, M.; Gloaguen, A.; Maillart, E.; Stankoff, B.; Tenenhaus, A.; Fontaine, B.; et al. Multiple Sclerosis Patient Macrophages Impaired Metabolism Leads to an Altered Response to Activation Stimuli. Neurol. Neuroimmunol. Neuroinflamm. 2024, 11, e200312. [Google Scholar] [CrossRef]
- Zahoor, I.; Suhail, H.; Datta, I.; Ahmed, M.E.; Poisson, L.M.; Waters, J.; Rashid, F.; Bin, R.; Singh, J.; Cerghet, M.; et al. Blood-based untargeted metabolomics in relapsing-remitting multiple sclerosis revealed the testable therapeutic target. Proc. Natl. Acad. Sci. USA 2022, 119, e2123265119. [Google Scholar] [CrossRef] [PubMed]
- Fitzgerald, K.C.; Smith, M.D.; Kim, S.; Sotirchos, E.S.; Kornberg, M.D.; Douglas, M.; Nourbakhsh, B.; Graves, J.; Rattan, R.; Poisson, L.; et al. Multi-omic evaluation of metabolic alterations in multiple sclerosis identifies shifts in aromatic amino acid metabolism. Cell Rep. Med. 2021, 2, 100424. [Google Scholar] [CrossRef] [PubMed]
- Ma, Q.; Shams, H.; Didonna, A.; Baranzini, S.E.; Cree, B.A.C.; Hauser, S.L.; Henry, R.G.; Oksenberg, J.R. Integration of epigenetic and genetic profiles identifies multiple sclerosis disease-critical cell types and genes. Commun. Biol. 2023, 6, 342. [Google Scholar] [CrossRef] [PubMed]
- Guo, M.H.; Sama, P.; LaBarre, B.A.; Lokhande, H.; Balibalos, J.; Chu, C.; Du, X.; Kheradpour, P.; Kim, C.C.; Oniskey, T.; et al. Dissection of multiple sclerosis genetics identifies B and CD4+ T cells as driver cell subsets. Genome Biol. 2022, 23, 127. [Google Scholar] [CrossRef]
- Nitsche, A.; Stadler, P.F. Evolutionary clues in lncRNAs. Wiley Interdiscip. Rev. RNA 2017, 8, e1376. [Google Scholar] [CrossRef]
- Gendron, J.; Colace-Sauty, C.; Beaume, N.; Cartonnet, H.; Guegan, J.; Ulveling, D.; Pardanaud-Glavieux, C.; Moszer, I.; Cheval, H.; Ravassard, P. Long non-coding RNA repertoire and open chromatin regions constitute midbrain dopaminergic neuron—Specific molecular signatures. Sci. Rep. 2019, 9, 1409. [Google Scholar] [CrossRef]
- Han, Z.; Xue, W.; Tao, L.; Lou, Y.; Qiu, Y.; Zhu, F. Genome-wide identification and analysis of the eQTL lncRNAs in multiple sclerosis based on RNA-seq data. Brief. Bioinform. 2020, 21, 1023–1037. [Google Scholar] [CrossRef]
- Safa, A.; Arsang-Jang, S.; Taheri, M.; Omrani, M.D.; Ghafouri-Fard, S. Dysregulation of NF-κB-Associated lncRNAs in Multiple Sclerosis Patients. J. Mol. Neurosci. 2021, 71, 80–88. [Google Scholar] [CrossRef]
- Amoruso, A.; Blonda, M.; Gironi, M.; Grasso, R.; Di Francescantonio, V.; Scaroni, F.; Furlan, R.; Verderio, C.; Avolio, C. Immune and central nervous system-related miRNAs expression profiling in monocytes of multiple sclerosis patients. Sci. Rep. 2020, 10, 6125. [Google Scholar] [CrossRef]
- Kouwenhoven, M.; Teleshova, N.; Ozenci, V.; Press, R.; Link, H. Monocytes in multiple sclerosis: Phenotype and cytokine profile. J. Neuroimmunol. 2001, 112, 197–205. [Google Scholar] [CrossRef]
- Malhotra, S.; Costa, C.; Eixarch, H.; Keller, C.W.; Amman, L.; Martínez-Banaclocha, H.; Midaglia, L.; Sarró, E.; Machín-Díaz, I.; Villar, L.M.; et al. NLRP3 inflammasome as prognostic factor and therapeutic target in primary progressive multiple sclerosis patients. Brain 2020, 143, 1414–1430. [Google Scholar] [CrossRef] [PubMed]
- Bodini, B.; Veronese, M.; García-Lorenzo, D.; Battaglini, M.; Poirion, E.; Chardain, A.; Freeman, L.; Louapre, C.; Tchikviladze, M.; Papeix, C.; et al. Dynamic Imaging of Individual Remyelination Profiles in Multiple Sclerosis. Ann. Neurol. 2016, 79, 726–738. [Google Scholar] [CrossRef] [PubMed]
- Bjornevik, K.; Cortese, M.; Healy, B.C.; Kuhle, J.; Mina, M.J.; Leng, Y.; Elledge, S.J.; Niebuhr, D.W.; Scher, A.I.; Munger, K.L.; et al. Longitudinal analysis reveals high prevalence of Epstein-Barr virus associated with multiple sclerosis. Science 2022, 375, 296–301. [Google Scholar] [CrossRef] [PubMed]
- Grut, V.; Biström, M.; Salzer, J.; Stridh, P.; Jons, D.; Gustafsson, R.; Fogdell-Hahn, A.; Huang, J.; Brenner, N.; Butt, J.; et al. Cytomegalovirus seropositivity is associated with reduced risk of multiple sclerosis-a presymptomatic case-control study. Eur. J. Neurol. 2021, 28, 3072–3079. [Google Scholar] [CrossRef]
- Riccio, P.; Rossano, R. Nutrition facts in multiple sclerosis. ASN Neuro. 2015, 7, 1759091414568185. [Google Scholar] [CrossRef]
- Hoffman, K.; Doyle, W.J.; Schumacher, S.M.; Ochoa-Repáraz, J. Gut microbiome-modulated dietary strategies in EAE and multiple sclerosis. Front Nutr. 2023, 10, 1146748. [Google Scholar] [CrossRef]
- Hagman, E.; Putri, R.R.; Danielsson, P.; Marcus, C. Pediatric obesity and the risk of multiple sclerosis: A nationwide prospective cohort study. Int. J. Obes. 2025, 49, 1031–1036. [Google Scholar] [CrossRef]
- Brenton, J.N.; Woolbright, E.; Briscoe-Abath, C.; Qureshi, A.; Conaway, M.; Goldman, M.D. Body mass index trajectories in pediatric multiple sclerosis. Dev. Med. Child. Neurol. 2019, 61, 1289–1294. [Google Scholar] [CrossRef]
- Milles, P.; De Filippo, G.; Maurey, H.; Tully, T.; Deiva, K.; KidBiosep. Obesity in Pediatric-Onset Multiple Sclerosis: A French Cohort Study. Neurol. Neuroimmunol. Neuroinflamm. 2021, 8, e1044. [Google Scholar] [CrossRef]
- Langer-Gould, A.; Brara, S.M.; Beaber, B.E.; Koebnick, C. Childhood obesity and risk of pediatric multiple sclerosis and clinically isolated syndrome. Neurology 2013, 80, 548–552. [Google Scholar] [CrossRef]
- Munger, K.L.; Bentzen, J.; Laursen, B.; Stenager, E.; Koch-Henriksen, N.; Sørensen, T.I.; Baker, J.L. Childhood body mass index and multiple sclerosis risk: A long-term cohort study. Mult. Scler. 2013, 19, 1323–1329. [Google Scholar] [CrossRef] [PubMed]
- Edgar, L.; Akbar, N.; Braithwaite, A.T.; Krausgruber, T.; Gallart-Ayala, H.; Bailey, J.; Corbin, A.L.; Khoyratty, T.E.; Chai, J.T.; Alkhalil, M.; et al. Hyperglycemia Induces Trained Immunity in Macrophages and Their Precursors and Promotes Atherosclerosis. Circulation 2021, 144, 961–982. [Google Scholar] [CrossRef] [PubMed]
- Christ, A.; Günther, P.; Lauterbach, M.A.R.; Duewell, P.; Biswas, D.; Pelka, K.; Scholz, C.J.; Oosting, M.; Haendler, K.; Baßler, K.; et al. Western Diet Triggers NLRP3-Dependent Innate Immune Reprogramming. Cell 2018, 172, 162–175.e14. [Google Scholar] [CrossRef] [PubMed]
- Miron, V.E.; Franklin, R.J. Macrophages and CNS remyelination. J. Neurochem. 2014, 130, 165–171. [Google Scholar] [CrossRef]
- Miron, V.E.; Boyd, A.; Zhao, J.W.; Yuen, T.J.; Ruckh, J.M.; Shadrach, J.L.; van Wijngaarden, P.; Wagers, A.J.; Williams, A.; Franklin, R.J.M.; et al. M2 microglia and macrophages drive oligodendrocyte differentiation during CNS remyelination. Nat. Neurosci. 2013, 16, 1211–1218. [Google Scholar] [CrossRef]
- Thorp, E.; Tabas, I. Mechanisms and consequences of efferocytosis in advanced atherosclerosis. J. Leukoc. Biol. 2009, 86, 1089–1095. [Google Scholar] [CrossRef]
- Kotter, M.R.; Li, W.W.; Zhao, C.; Franklin, R.J. Myelin impairs CNS remyelination by inhibiting oligodendrocyte precursor cell differentiation. J. Neurosci. 2006, 26, 328–332. [Google Scholar] [CrossRef]
- Tiwari, V.; Prajapati, B.; Asare, Y.; Damkou, A.; Ji, H.; Liu, L.; Naser, N.; Gouna, G.; Leszczyńska, K.B.; Mieczkowski, J.; et al. Innate immune training restores pro-reparative myeloid functions to promote remyelination in the aged central nervous system. Immunity 2024, 57, 2173–2190.e8. [Google Scholar] [CrossRef]
- Ristori, G.; Buzzi, M.G.; Sabatini, U.; Giugni, E.; Bastianello, S.; Viselli, F.; Buttinelli, C.; Ruggieri, S.; Colonnese, C.; Pozzilli, C.; et al. Use of Bacille Calmette-Guèrin (BCG) in multiple sclerosis. Neurology 1999, 53, 1588–1589. [Google Scholar] [CrossRef]
- Ristori, G.; Romano, S.; Cannoni, S.; Visconti, A.; Tinelli, E.; Mendozzi, L.; Cecconi, P.; Lanzillo, R.; Quarantelli, M.; Buttinelli, C.; et al. Effects of Bacille Calmette-Guerin after the first demyelinating event in the CNS. Neurology 2014, 82, 41–48. [Google Scholar] [CrossRef]
- Nakken, O.; Holmøy, T.; Stigum, H.; Myhr, K.M.; Dahl, J.; Heldal, E.; Meyer, H.E. Strong tuberculin response after BCG vaccination is associated with low multiple sclerosis risk: A population-based cohort study. Int. J. Epidemiol. 2022, 51, 1637–1644. [Google Scholar] [CrossRef] [PubMed]
- Corsenac, P.; Parent, M.É.; Wolfson, C.; Arbour, N.; Duquette, P.; Benedetti, A.; Richard, H.; Stäger, S.; Rousseau, M.C. Bacillus Calmette-Guerin vaccination and multiple sclerosis: A population-based birth cohort study in Quebec, Canada. Eur. J. Neurol. 2022, 29, 1791–1804. [Google Scholar] [CrossRef] [PubMed]
- Wang, P.F.; Jiang, F.; Zeng, Q.M.; Yin, W.F.; Hu, Y.Z.; Li, Q.; Hu, Z.L. Mitochondrial and metabolic dysfunction of peripheral immune cells in multiple sclerosis. J. Neuroinflamm. 2024, 21, 28. [Google Scholar] [CrossRef] [PubMed]
- Auger, J.P.; Zimmermann, M.; Faas, M.; Stifel, U.; Chambers, D.; Krishnacoumar, B.; Taudte, R.V.; Grund, C.; Erdmann, G.; Scholtysek, C.; et al. Metabolic rewiring promotes anti-inflammatory effects of glucocorticoids. Nature 2024, 629, 184–192. [Google Scholar] [CrossRef]
- Wang, J.; Yang, P.; Yu, T.; Gao, M.; Liu, D.; Zhang, J.; Lu, C.; Chen, X.; Zhang, X.; Liu, Y. Lactylation of PKM2 Suppresses Inflammatory Metabolic Adaptation in Pro-inflammatory Macrophages. Int. J. Biol. Sci. 2022, 18, 6210–6225. [Google Scholar] [CrossRef]
- Wang, N.; Wang, W.; Wang, X.; Mang, G.; Chen, J.; Yan, X.; Tong, Z.; Yang, Q.; Wang, M.; Chen, L.; et al. Histone Lactylation Boosts Reparative Gene Activation Post-Myocardial Infarction. Circ. Res. 2022, 131, 893–908. [Google Scholar] [CrossRef]
- Novakovic, B.; Habibi, E.; Wang, S.Y.; Arts, R.J.W.; Davar, R.; Megchelenbrink, W.; Kim, B.; Kuznetsova, T.; Kox, M.; Zwaag, J.; et al. β-Glucan Reverses the Epigenetic State of LPS-Induced Immunological Tolerance. Cell 2016, 167, 1354–1368.e14. [Google Scholar] [CrossRef]
- Schwartz, R.H. Historical overview of immunological tolerance. Cold Spring Harb. Perspect. Biol. 2012, 4, a006908. [Google Scholar] [CrossRef]
- Kooij, G.; Braster, R.; Koning, J.J.; Laan, L.C.; van Vliet, S.J.; Los, T.; Eveleens, A.M.; van der Pol, S.M.; Förster-Waldl, E.; Boztug, K.; et al. Trichuris suis induces human non-classical patrolling monocytes via the mannose receptor and PKC: Implications for multiple sclerosis. Acta. Neuropathol. Commun. 2015, 3, 45. [Google Scholar] [CrossRef]
- Lajqi, T.; Köstlin-Gille, N.; Bauer, R.; Zarogiannis, S.G.; Lajqi, E.; Ajeti, V.; Dietz, S.; Kranig, S.A.; Rühle, J.; Demaj, A.; et al. Training vs. Tolerance: The Yin/Yang of the Innate Immune System. Biomedicines 2023, 11, 766. [Google Scholar] [CrossRef]
- Quinn, S.M.; Cunningham, K.; Raverdeau, M.; Walsh, R.J.; Curham, L.; Malara, A.; Mills, K.H.G. Anti-inflammatory Trained Immunity Mediated by Helminth Products Attenuates the Induction of T Cell-Mediated Autoimmune Disease. Front Immunol. 2019, 10, 1109. [Google Scholar] [CrossRef]
- Cunningham, K.T.; Finlay, C.M.; Mills, K.H.G. Helminth Imprinting of Hematopoietic Stem Cells Sustains Anti-Inflammatory Trained Innate Immunity That Attenuates Autoimmune Disease. J. Immunol. 2021, 206, 1618–1630. [Google Scholar] [CrossRef]

| Aspect | Alteration in MS | Refs. |
|---|---|---|
| Monocyte subset frequencies | ↑ Non-classical CD14+CD16++ monocytes in blood and CSF | [24,25,26] |
| Differentiation propensity | CD14+CD16− monocytes from MS patients more readily differentiate into CD16+ macrophages | [30] |
| Activation marker expression | ↑ CD40, CD86, HLA-DR, CD64, CCR2 (predominantly on CD16+ cells) | [28] |
| Pro-inflammatory cytokines | ↑ IL-6, IL-12 in monocytes; ↑ IL-1β, TNF, NLRP3 in PBMCs; ↑ CCL4 in macrophages | [24,30,40,41] |
| Anti-inflammatory cytokines | ↓ CCL17 in MS macrophages under homeostatic/pro-regenerative stimuli | [30] |
| Glycolytic activity | ↑ Glycolysis in PBMCs and monocytes/macrophages (RRMS patients and EAE model) | [31] |
| Mitochondrial metabolism | ↓ TCA cycle, ↓ fatty-acid oxidation, ↓ electron-transport chain activity, ↓ NAD+ levels in untreated MS macrophages | [30] |
| AAA (aromatic AA) pathways | ↓ Reductive (e.g. indolelactate, phenyllactate), ↑ Oxidative metabolites (e.g. p-cresol sulfate, indoleacetate); overall lower AAA pathway activity correlating with disability scores | [32] |
| Genetic/epigenetic regulation | Enrichment of MS-risk variants in monocyte/microglia regulatory regions; altered chromatin accessibility affecting genes like NFKB1, STAT3, IRF8 | [33,34] |
| lncRNA expression | ↓ NF-κB–inhibiting lncRNAs: MKI67IP and HNF1A-AS1 | [38] |
| miRNA expression | ↑ miR-155, ↓ miR-223 (skewing toward pro-inflammatory polarization) | [39] |
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Popa, E.; Cheval, H.; Zujovic, V. Cues of Trained Immunity in Multiple Sclerosis Macrophages. Cells 2025, 14, 1054. https://doi.org/10.3390/cells14141054
Popa E, Cheval H, Zujovic V. Cues of Trained Immunity in Multiple Sclerosis Macrophages. Cells. 2025; 14(14):1054. https://doi.org/10.3390/cells14141054
Chicago/Turabian StylePopa, Elisa, Hélène Cheval, and Violetta Zujovic. 2025. "Cues of Trained Immunity in Multiple Sclerosis Macrophages" Cells 14, no. 14: 1054. https://doi.org/10.3390/cells14141054
APA StylePopa, E., Cheval, H., & Zujovic, V. (2025). Cues of Trained Immunity in Multiple Sclerosis Macrophages. Cells, 14(14), 1054. https://doi.org/10.3390/cells14141054

