The DOI matches its Crossref record; 50 of the 51 references it cites were found in a registry or an index.
Longitudinal analysis reveals high prevalence of Epstein-Barr virus associated with multiple sclerosis
Abstract
Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system of unknown etiology. We tested the hypothesis that MS is caused by Epstein-Barr virus (EBV) in a cohort comprising more than 10 million young adults on active duty in the US military, 955 of whom were diagnosed with MS during their period of service. Risk of MS increased 32-fold after infection with EBV but was not increased after infection with other viruses, including the similarly transmitted cytomegalovirus. Serum levels of neurofilament light chain, a biomarker of neuroaxonal degeneration, increased only after EBV seroconversion. These findings cannot be explained by any known risk factor for MS and suggest EBV as the leading cause of MS.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This phenomenon is particularly relevant considering recent data demonstrating that EBV infection is a necessary risk factor for MS and that cross-reactive immune responses between EBV antigens and CNS proteins may contribute to disease initiation [211, 212].”
From Insights and challenges on animal models for progressive multiple sclerosis (2026) · cites this paper as [212]
In the citing paper
“For example, type 1 diabetes mellitus was linked to enterovirus infections185 and multiple sclerosis to Epstein–Barr virus (EBV) infections186.”
From COVID-19 and cellular senescence (2023) · cites this paper as [186]
Citations
Cites
Sensitivity analysis in observational research: Introducing the E-value
VanderWeele, T. J., & Ding, P. (2017) · Annals of Internal Medicine · doi:10.7326/m16-2607 · Cited by 6,350
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
The International Multiple Sclerosis Genetics Consortium & The Wellcome Trust Case Control Consortium 2 (2011) · Nature · doi:10.1038/nature10251 · Cited by 2,697
Reich, D. S., Lucchinetti, C. F., & Calabresi, P. A. (2018) · New England Journal of Medicine · doi:10.1056/nejmra1401483 · Cited by 2,491
The Immune Epitope Database (IEDB): 2018 update
Vita, R., Mahajan, S., Overton, J. A., Dhanda, S. K., Martini, S. R., Cantrell, J. R., Wheeler, D. K., Sette, A., & Peters, B. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1006 · Cited by 2,194
Ocrelizumab versus Interferon Beta-1a in Relapsing Multiple Sclerosis
Hauser, S. L., Bar-Or, A., Comi, G., Giovannoni, G., Hartung, H.-P., Hemmer, B., Lublin, F., Montalban, X., Rammohan, K. W., Selmaj, K., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1601277 · Cited by 2,021
Neurofilaments as biomarkers in neurological disorders
Khalil, M., Teunissen, C. E., Otto, M., Piehl, F., Sormani, M. P., Gattringer, T., Barro, C., Kappos, L., Comabella, M., Fazekas, F., et al. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0058-z · Cited by 1,988
Negative Controls: A Tool for Detecting Confounding and Bias in Observational Studies
Lipsitch, M., Tchetgen Tchetgen, E., & Cohen, T. (2010) · Epidemiology · doi:10.1097/ede.0b013e3181d61eeb · Cited by 1,583
Interactions between genetic, lifestyle and environmental risk factors for multiple sclerosis
Olsson, T. P., Barcellos, L. F., & Alfredsson, L. S. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.187 · Cited by 1,263
Serum neurofilament light: a biomarker of neuronal damage in multiple sclerosis
Disanto, G., Barro, C., Benkert, P., Naegelin, Y., Schädelin, S., Giardiello, A., Zecca, C., Blennow, K., Zetterberg, H., Leppert, D., et al. (2017) · Annals of Neurology · doi:10.1002/ana.24954 · Cited by 1,164
Epstein-Barr virus: exploiting the immune system
Thorley‐Lawson, D. A. (2001) · Nature reviews. Immunology · doi:10.1038/35095584 · Cited by 942
Flagged first, then by citations
1 of the 51 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Sun, L., Su, Y., Jiao, A., Wang, X., & Zhang, B. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01471-y · Cited by 1,153
Clonally expanded B cells in multiple sclerosis bind EBV EBNA1 and GlialCAM
Lanz, T. V., Brewer, R. C., Ho, P. P., Moon, J.-S., Jude, K. M., Fernandez, D., Fernandes, R. A., Gomez, A. M., Nadj, G.-S., Bartley, C. M., et al. (2022) · Nature · doi:10.1038/s41586-022-04432-7 · Cited by 908
Distinguishing features of long COVID identified through immune profiling
Klein, J., Wood, J., Jaycox, J. R., Dhodapkar, R. M., Lu, P., Gehlhausen, J. R., Tabachnikova, A., Greene, K., TABACOF, L. R., Malik, A. A., et al. (2023) · Nature · doi:10.1038/s41586-023-06651-y · Cited by 852
Unexplained post-acute infection syndromes
Choutka, J., Jansari, V., Hornig, M., & Iwasaki, A. (2022) · Nature Medicine · doi:10.1038/s41591-022-01810-6 · Cited by 604
Jakimovski, D., Bittner, S., Zivadinov, R., Morrow, S. A., Benedict, R. H. B., Zipp, F., & Weinstock‐Guttman, B. (2023) · The Lancet · doi:10.1016/s0140-6736(23)01473-3 · Cited by 695
Epstein-Barr virus: Biology and clinical disease
Damania, B., Kenney, S. C., & Raab‐Traub, N. (2022) · Cell · doi:10.1016/j.cell.2022.08.026 · Cited by 623
Long COVID science, research and policy
Al-Aly, Z., Davis, H., McCorkell, L., Soares, L., Wulf-Hanson, S., Iwasaki, A., & Topol, E. J. (2024) · Nature Medicine · doi:10.1038/s41591-024-03173-6 · Cited by 538
Epstein–Barr virus and multiple sclerosis
Soldan, S. S., & Lieberman, P. M. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00770-5 · Cited by 536
Applications of single-cell RNA sequencing in drug discovery and development
de Sande, B. V., Lee, J. S., Mutasa-Gottgens, E., Naughton, B. J., Bacon, W., Manning, J. R., Wang, Y., Pollard, J. R., Mendez, M., Hill, J., et al. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-023-00688-4 · Cited by 462
Altmann, D. M., Whettlock, E. M., Liu, S., Arachchillage, D. J., & Boyton, R. J. (2023) · Nature reviews. Immunology · doi:10.1038/s41577-023-00904-7 · Cited by 471
The immunology of multiple sclerosis
Attfield, K. E., Jensen, L. T., Kaufmann, M., Friese, M. A., & Fugger, L. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-022-00718-z · Cited by 380
Mechanisms of long COVID and the path toward therapeutics
Peluso, M. J., & Deeks, S. G. (2024) · Cell · doi:10.1016/j.cell.2024.07.054 · Cited by 399
“205 However, the recent discovery of the potentially causal role of EBV in multiple sclerosis 206 through mechanisms such as molecular mimicry 207 suggests that relationships between EBV and some of the autoimmune processes outlined above may exist.”
BackgroundThe role of platelets in immune-mediated inflammatory diseases
Scherlinger, M., Richez, C., Tsokos, G. C., Boilard, É., & Blanco, P. (2023) · Nature reviews. Immunology · doi:10.1038/s41577-023-00834-4 · Cited by 375
Virus exposure and neurodegenerative disease risk across national biobanks
Levine, K. S., Leonard, H. L., Blauwendraat, C., Iwaki, H., Johnson, N., Bandres-Ciga, S., Ferrucci, L., Faghri, F., Singleton, A. B., & Nalls, M. A. (2023) · Neuron · doi:10.1016/j.neuron.2022.12.029 · Cited by 341
Epstein-Barr virus and multiple sclerosis
Robinson, W. H., & Steinman, L. (2022) · Science · doi:10.1126/science.abm7930 · Cited by 338
Gene–environment interactions and their impact on human health
Virolainen, S. J., VonHandorf, A., Viel, K. C. M. F., Weirauch, M. T., & Kottyan, L. C. (2022) · Genes and Immunity · doi:10.1038/s41435-022-00192-6 · Cited by 336
Human cerebral organoids — a new tool for clinical neurology research
Eichmüller, O. L., & Knoblich, J. A. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00723-9 · Cited by 319
SARS-CoV-2 reservoir in post-acute sequelae of COVID-19 (PASC)
Proal, A. D., VanElzakker, M. B., Aleman, S., Bach, K., Boribong, B. P., Buggert, M., Cherry, S. R., Chertow, D. S., Davies, H. E., Dupont, C. L., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01601-2 · Cited by 294
Song, Y., Li, J., & Wu, Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01952-8 · Cited by 328
“104 The mechanism of EBV infection to cause MS is still not clear, current studies suggest the role of molecular mimicry mentioned above in causing the break of immune tolerance and the development of autoimmune disorders.”
BackgroundChronic viral coinfections differentially affect the likelihood of developing long COVID
Peluso, M. J., Deveau, T., Munter, S. E., Ryder, D., Buck, A. M., Beck‐Engeser, G., Chan, F., Lu, S., Goldberg, S. A., Hoh, R., et al. (2022) · Journal of Clinical Investigation · doi:10.1172/jci163669 · Cited by 275
Three-year outcomes of post-acute sequelae of COVID-19
Cai, M., Xie, Y., Topol, E. J., & Al‐Aly, Z. (2024) · Nature Medicine · doi:10.1038/s41591-024-02987-8 · Cited by 276
Locus for severity implicates CNS resilience in progression of multiple sclerosis
International Multiple Sclerosis Genetics Consortium, Harroud, A., Stridh, P., McCauley, J. L., Saarela, J., van den Bosch, A. M. R., Engelenburg, H. J., Beecham, A. H., Alfredsson, L., Alikhani, K., et al. (2023) · Nature · doi:10.1038/s41586-023-06250-x · Cited by 243
Frere, J. J., Serafini, R. A., Pryce, K. D., Zazhytska, M., Oishi, K., Golynker, I., Panis, M., Zimering, J. H., Horiuchi, S., Hoagland, D. A., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abq3059 · Cited by 239
mRNA vaccines for infectious diseases — advances, challenges and opportunities
Pardi, N., & Krammer, F. (2024) · Nature Reviews Drug Discovery · doi:10.1038/s41573-024-01042-y · Cited by 252
Multiple sclerosis: Neuroimmune crosstalk and therapeutic targeting
Charabati, M., Wheeler, M. A., Weiner, H. L., & Quintana, F. J. (2023) · Cell · doi:10.1016/j.cell.2023.03.008 · Cited by 242
The Immunobiology and Pathogenesis of Celiac Disease
Iversen, R., & Sollid, L. M. (2022) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-031521-032634 · Cited by 222
Can we predict T cell specificity with digital biology and machine learning?
Hudson, D., Fernandes, R. A., Basham, M., Ogg, G. S., & Koohy, H. (2023) · Nature reviews. Immunology · doi:10.1038/s41577-023-00835-3 · Cited by 209
Mis-spliced transcripts generate de novo proteins in TDP-43–related ALS/FTD
Seddighi, S., Qi, Y. A., Brown, A., Wilkins, O. G., Bereda, C., Belair, C., Zhang, Y., Prudencio, M., Keuss, M. J., Khandeshi, A. J., et al. (2024) · Science Translational Medicine · doi:10.1126/scitranslmed.adg7162 · Cited by 200
“Retrospective analysis of stored serum samples recently led to the seminal discovery of Epstein-Barr virus as the viral etiology of multiple sclerosis ( 33 , 34 ).”
BackgroundMicrobial dysbiosis in the gut drives systemic autoimmune diseases
Mousa, W. K., Chehadeh, F., & Husband, S. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.906258 · Cited by 216
The neuropathobiology of multiple sclerosis
Woo, M. S., Engler, J. B., & Friese, M. A. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00823-z · Cited by 205
“Additionally, in a smaller cohort of individuals with Epstein–Barr virus (EBV) seroconversion, who are at higher risk of developing MS, NfL levels were found to be increased up to 2 years before MS was diagnosed 49 .”
The Role of Viral Infections in the Onset of Autoimmune Diseases
Sundaresan, B., Shirafkan, F., Ripperger, K., & Rattay, K. (2023) · Viruses · doi:10.3390/v15030782 · Cited by 204
Hittle, M., Culpepper, W. J., Langer-Gould, A. M., Marrie, R. A., Cutter, G., Kaye, W., Wagner, L., Topol, B., LaRocca, N. G., Nelson, L. M., et al. (2023) · JAMA Neurology · doi:10.1001/jamaneurol.2023.1135 · Cited by 186
Vietzen, H., Berger, S., Kühner, L. M., Furlano, P. L., Bsteh, G., Berger, T., Rommer, P. S., & Puchhammer‐Stöckl, E. (2023) · Cell · doi:10.1016/j.cell.2023.11.015 · Cited by 194
Multiple sclerosis: emerging epidemiological trends and redefining the clinical course
Portaccio, E., Magyari, M., Havrdová, E., Ruet, A., Brochet, B., Scalfari, A., Filippo, M. D., Tur, C., Montalbán, X., & Amato, M. P. (2024) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2024.100977 · Cited by 196
“17,18 Recent epidemiological trends in MS prevalence and incidence across different regions in Europe are summarized in Table 1.”
Epidemiology and Pathophysiology of Multiple Sclerosis
Ward, M., & Goldman, M. D. (2022) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/con.0000000000001136 · Cited by 185
The link between circulating follicular helper T cells and autoimmunity
Walker, L. S. K. (2022) · Nature reviews. Immunology · doi:10.1038/s41577-022-00693-5 · Cited by 182
Age-associated B cells in autoimmune diseases
Mouat, I. C., Goldberg, E., & Horwitz, M. S. (2022) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-022-04433-9 · Cited by 170
Advances in Neurodegenerative Diseases
Schependom, J. V., & D’haeseleer, M. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12051709 · Cited by 167
Updates and Advances in Multiple Sclerosis Neurotherapeutics
Amin, M., & Hersh, C. M. (2022) · Neurodegenerative Disease Management · doi:10.2217/nmt-2021-0058 · Cited by 180
Epstein–Barr virus as a leading cause of multiple sclerosis: mechanisms and implications
Bjornevik, K., Münz, C., Cohen, J. I., & Ascherio, A. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00775-5 · Cited by 246
Self-citationAnti-CD20 therapies in multiple sclerosis: From pathology to the clinic
Seze, J. D., Maillart, É., Guéguen, A., Laplaud, D. A., Michel, L., Thouvenot, É., Zéphir, H., Zimmer, L., Biotti, D., & Liblau, R. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1004795 · Cited by 169
Current and Future Biomarkers in Multiple Sclerosis
Yang, J., Hamade, M., Wu, Q., Wang, Q., Axtell, R. C., Giri, S., & Mao‐Draayer, Y. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23115877 · Cited by 190
Zierfuss, B., Larochelle, C., & Prat, A. (2023) · The Lancet Neurology · doi:10.1016/s1474-4422(23)00377-0 · Cited by 162
From real-world electronic health record data to real-world results using artificial intelligence
Knevel, R., & Liao, K. P. (2022) · Annals of the Rheumatic Diseases · doi:10.1136/ard-2022-222626 · Cited by 169
COVID-19 and cellular senescence
Schmitt, C. A., Tchkonia, T., Niedernhofer, L. J., Robbins, P. D., Kirkland, J. L., & Lee, S. (2023) · Nature Reviews Immunology · doi:10.1038/s41577-022-00785-2 · Cited by 153
Biological and functional multimorbidity—from mechanisms to management
Langenberg, C., Hingorani, A. D., & Whitty, C. W. M. (2023) · Nature Medicine · doi:10.1038/s41591-023-02420-6 · Cited by 153
Elevated genetic risk for multiple sclerosis emerged in steppe pastoralist populations
Barrie, W., Yang, Y., Irving-Pease, E. K., Attfield, K. E., Scorrano, G., Jensen, L. T., Armen, A. P., Dimopoulos, E. A., Stern, A., Refoyo-Martinez, A., et al. (2024) · Nature · doi:10.1038/s41586-023-06618-z · Cited by 161
“A more detailed description of DNA extraction and library preparation can be found in Supplementary Note 1.”
BackgroundMethodInfluentialThe global burden of inflammatory bowel disease: from 2025 to 2045
Kaplan, G. G. (2025) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-025-01097-1 · Cited by 171
“The advent of mRNA technology has created new opportunities to modulate immune responses, as demonstrated in multiple sclerosis 111–113 .”
Epstein–Barr virus as a potentiator of autoimmune diseases
Robinson, W. H., Younis, S., Love, Z. Z., Steinman, L., & Lanz, T. V. (2024) · Nature Reviews Rheumatology · doi:10.1038/s41584-024-01167-9 · Cited by 148
Autoreactive lymphocytes in multiple sclerosis: Pathogenesis and treatment target
Liu, R., Du, S., Zhao, L., Jain, S., Sahay, K., Rizvanov, A. A., Lezhnyova, V., Хайбуллин, Т. И., Martynova, E. V., Khaiboullina, S. F., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.996469 · Cited by 170
Early clues regarding the pathogenesis of long-COVID
Peluso, M. J., & Deeks, S. G. (2022) · Trends in Immunology · doi:10.1016/j.it.2022.02.008 · Cited by 144
Cross-reactive EBNA1 immunity targets alpha-crystallin B and is associated with multiple sclerosis
Thomas, O. G., Bronge, M., Tengvall, K., Akpinar, B., Nilsson, O. B., Holmgren, E., Hessa, T., Gafvelin, G., Khademi, M., Alfredsson, L. S., et al. (2023) · Science Advances · doi:10.1126/sciadv.adg3032 · Cited by 148
Epstein-Barr virus as a cause of multiple sclerosis: opportunities for prevention and therapy
Aloisi, F., Giovannoni, G., & Salvetti, M. (2023) · The Lancet Neurology · doi:10.1016/s1474-4422(22)00471-9 · Cited by 142
Solving the puzzle of Long Covid
Al‐Aly, Z., & Topol, E. J. (2024) · Science · doi:10.1126/science.adl0867 · Cited by 142
NLRP3 inflammasome in neurodegenerative disease
Anderson, F. L., Biggs, K. E., Rankin, B. E., & Havrda, M. C. (2022) · Translational research · doi:10.1016/j.trsl.2022.08.006 · Cited by 154
Khan, G., & Hashim, M. J. (2025) · Journal of Epidemiology and Global Health · doi:10.1007/s44197-025-00353-6 · Cited by 169
“Individuals who are EBV negative, have a significantly reduced risk of developing MS [10 ].”
InfluentialThe immunology of systemic lupus erythematosus
Tsokos, G. C. (2024) · Nature Immunology · doi:10.1038/s41590-024-01898-7 · Cited by 142
“A subset of neutralizing DNASE1L3 antibodies, a portion of which are encoded by the autoreactive VH4-34 gene segment, cross-react with dsDNA antibodies, but the affinity maturation profile points to the DNAASE1L3 as the primary antigen 96 .”
Bieber, K., Hundt, J. E., Yu, X., Ehlers, M., Petersen, F., Karsten, C. M., Köhl, J., Kridin, K., Kalies, K., Kasprick, A., et al. (2022) · Autoimmunity Reviews · doi:10.1016/j.autrev.2022.103236 · Cited by 135
Multiple sclerosis: molecular pathogenesis and therapeutic intervention
Boutitah-Benyaich, I., Eixarch, H., Villacieros‐Álvarez, J., Hervera, A., Cobo‐Calvo, Á., Montalbán, X., & Espejo, C. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02415-4 · Cited by 149
“131 The mechanisms by which EBV in fl uences MS, which have been recently extensively reviewed, 132,133 involve complex interactions that are still debated.”
Frazzei, G., van Vollenhoven, R., de Jong, B. A., Siegelaar, S. E., & van Schaardenburg, D. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.899372 · Cited by 137
Cellular architecture of evolving neuroinflammatory lesions and multiple sclerosis pathology
Kukanja, P., Langseth, C. M., Rubio Rodríguez-Kirby, L. A., Agirre, E., Zheng, C., Raman, A., Yokota, C., Avenel, C., Tiklová, K., Guerreiro-Cacais, A. O., et al. (2024) · Cell · doi:10.1016/j.cell.2024.02.030 · Cited by 124
“Multiple sclerosis (MS) is a complex disease of unclear, multifactorial etiology 1,2 and lesion pathology.”
BackgroundGut microbiome-mediated regulation of neuroinflammation
Bostick, J. W., Schonhoff, A. M., & Mazmanian, S. K. (2022) · Current Opinion in Immunology · doi:10.1016/j.coi.2022.102177 · Cited by 120
Neurodegeneration and demyelination in multiple sclerosis
Garton, T. P., Gadani, S. P., Gill, A. J., & Calabresi, P. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.05.025 · Cited by 129
Common genetic factors among autoimmune diseases
Harroud, A., & Hafler, D. A. (2023) · Science · doi:10.1126/science.adg2992 · Cited by 112
Roles and regulation of microglia activity in multiple sclerosis: insights from animal models
Distéfano‐Gagné, F., Bitarafan, S., Lacroix, S., & Gosselin, D. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-023-00709-6 · Cited by 115
Mohandas, S., Jagannathan, P., Henrich, T. J., Sherif, Z. A., Bime, C., Quinlan, E. B., Portman, M. A., Gennaro, M. L., Rehman, J., & RECOVER Mechanistic Pathways Task Force (2023) · eLife · doi:10.7554/elife.86014 · Cited by 120
Ahmed, W., Bivins, A. W., Stephens, M., Metcalfe, S. S., Smith, W. J. M., Sirikanchana, K., Kitajima, M., & Simpson, S. L. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.161023 · Cited by 108
Determinants and Biomarkers of Progression Independent of Relapses in Multiple Sclerosis
Calabrese, M., Preziosa, P., Scalfari, A., Colato, E., Marastoni, D., Absinta, M., Battaglini, M., Stefano, N. D., Filippo, M. D., Hametner, S., et al. (2024) · Annals of Neurology · doi:10.1002/ana.26913 · Cited by 115
“145 Genetic variation in B cell activation 146 as well as the infection by lymphotropic viruses, such as the Epstein – Barr virus, 147,148 represent the prevalent hypothesis of aberrant and altered intrathecal B cell survival and activity in MS.”
BackgroundRivas, M. N., Porritt, R. A., Cheng, M. H., Bahar, İ., & Arditi, M. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.941009 · Cited by 109
EBV-associated diseases: Current therapeutics and emerging technologies
Chakravorty, S., Afzali, B., & Kazemian, M. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1059133 · Cited by 114
Bonilla, H. F., Peluso, M. J., Rodgers, K. E., Aberg, J. A., Patterson, T. F., Tamburro, R. F., Baizer, L., Goldman, J. D., Rouphael, N., Deitchman, A. N., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1129459 · Cited by 107
ZBP1: A Powerful Innate Immune Sensor and Double-Edged Sword in Host Immunity
Yu, H., Yang, B., Yang, J., Shi, X., Yang, X., Zhang, D., Zhao, D., Yan, W., Chen, L., Zheng, H., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231810224 · Cited by 106
Nonresolving inflammation redux
Nathan, C. (2022) · Immunity · doi:10.1016/j.immuni.2022.03.016 · Cited by 103
Wei, C.-J., Bu, W., Nguyen, L., Batchelor, J., Kim, J., Pittaluga, S., Fuller, J., Nguyen, H., Chou, T.-H., Cohen, J. I., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abf3685 · Cited by 97
Moyamoya disease emerging as an immune-related angiopathy
Asselman, C., Hemelsoet, D., Eggermont, D., Dermaut, B., & Impens, F. (2022) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2022.08.009 · Cited by 105
Martínez-Mármol, R., Giordano-Santini, R., Kaulich, E., Cho, A.-N., Przybyla, M., Riyadh, M. A., Robinson, E., Chew, K. Y., Amor, R., Meunier, F. A., et al. (2023) · Science Advances · doi:10.1126/sciadv.adg2248 · Cited by 94
Magliozzi, R., Howell, O. W., Calabrese, M., & Reynolds, R. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00838-7 · Cited by 100
B cell depletion therapy does not resolve chronic active multiple sclerosis lesions
Maggi, P., Bulcke, C. V., Pedrini, E., Bugli, C., Sellimi, A., Wynen, M., Stölting, A., Mullins, W. A., Kalaitzidis, G., Lolli, V., et al. (2023) · eBioMedicine · doi:10.1016/j.ebiom.2023.104701 · Cited by 92
An autoantibody signature predictive for multiple sclerosis
Zamecnik, C. R., Sowa, G. M., Abdelhak, A., Dandekar, R., Bair, R., Wade, K. J., Bartley, C. M., Kizer, K., Augusto, D. G., Tubati, A., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-02938-3 · Cited by 104
“The role of infection as the temporally initiating event in MS etiology is the focus of current work 15,58 https://doi.org/10.1038/s41591-024-02938-3 crucial to the differentiation of causal versus spuriously associated features of the MS prodrome.”
BackgroundInfluentialLong-Term Outcomes of Pediatric Infections: From Traditional Infectious Diseases to Long Covid
Buonsenso, D., Gennaro, L. D., Rose, C. D., Morello, R., D’Ilario, F., Zampino, G., Piazza, M., Boner, A. L., Iraci, C., O’Connell, S., et al. (2022) · Future Microbiology · doi:10.2217/fmb-2022-0031 · Cited by 97
Inflammation at the crossroads of COVID-19, cognitive deficits and depression
Silva, N. M. L. E., Barros‐Aragão, F. G. Q., Felice, F. G. D., & Ferreira, S. T. (2022) · Neuropharmacology · doi:10.1016/j.neuropharm.2022.109023 · Cited by 96
From the prodromal stage of multiple sclerosis to disease prevention
Marrie, R. A., Allegretta, M., Barcellos, L. F., Bebo, B. F., Calabresi, P. A., Correale, J. D., Davis, B. G., Jager, P. L. D., Gasperi, C., Greenbaum, C. J., et al. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00686-x · Cited by 91
Self-citationBroader Epstein–Barr virus–specific T cell receptor repertoire in patients with multiple sclerosis
Schneider‐Hohendorf, T., Gerdes, L. A., Pignolet, B., Gittelman, R. M., Ostkamp, P., Rubelt, F., Raposo, C., Tackenberg, B., Riepenhausen, M., Janoschka, C., et al. (2022) · The Journal of Experimental Medicine · doi:10.1084/jem.20220650 · Cited by 87
Microbiome epidemiology and association studies in human health
VanEvery, H., Franzosa, E. A., Nguyen, L. H., & Huttenhower, C. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00529-x · Cited by 86
EBV induces CNS homing of B cells attracting inflammatory T cells
Läderach, F., Piteros, I., Fennell, É., Bremer, E., Last, M., Schmid, S., Rieble, L., Campbell, C., Ludwig-Portugall, I., Bornemann, L., et al. (2025) · Nature · doi:10.1038/s41586-025-09378-0 · Cited by 81
Urgency and necessity of Epstein-Barr virus prophylactic vaccines
Zhong, L., Krummenacher, C., Zhang, W., Hong, J., Feng, Q., Chen, Y., Zhao, Q., Zeng, M., Zeng, Y., Xu, M., et al. (2022) · npj Vaccines · doi:10.1038/s41541-022-00587-6 · Cited by 88
Open problems in human trait genetics
Brandes, N., Weissbrod, O., & Linial, M. (2022) · Genome biology · doi:10.1186/s13059-022-02697-9 · Cited by 92
Toward Precision Phenotyping of Multiple Sclerosis
Pitt, D., Lo, C. H., Gauthier, S. A., Hickman, R. A., Longbrake, E. E., Airas, L. M., Mao‐Draayer, Y., Riley, C., Jager, P. L. D., Wesley, S., et al. (2022) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000200025 · Cited by 87
Chronic effects of inflammation on tauopathies
Langworth-Green, C., Patel, S., Jaunmuktane, Z., Jabbari, E., Morris, H. R., Thom, M., Lees, A. J., Hardy, J., Zandi, M. S., & Duff, K. (2023) · The Lancet Neurology · doi:10.1016/s1474-4422(23)00038-8 · Cited by 85
How EBV Infects: The Tropism and Underlying Molecular Mechanism for Viral Infection
Bu, G., Xie, C., Kang, Y., Zeng, M., & Sun, C. (2022) · Viruses · doi:10.3390/v14112372 · Cited by 79
Cell-free DNA-based liquid biopsies in neurology
Gaitsch, H., Franklin, R. J. M., & Reich, D. S. (2022) · Brain · doi:10.1093/brain/awac438 · Cited by 84
A gB nanoparticle vaccine elicits a protective neutralizing antibody response against EBV
Sun, C., Kang, Y., Fang, X., Liu, Y.-N., Bu, G., Wang, A.-J., Li, Y., Zhu, Q., Zhang, H., Xie, C., et al. (2023) · Cell Host & Microbe · doi:10.1016/j.chom.2023.09.011 · Cited by 78
Blood–Brain Barrier Disruption in Neuroimmunological Disease
Shimizu, F., & Nakamori, M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251910625 · Cited by 88
“The risk of MS was 32-fold higher following EBV infection, and the serum concentration of the neurofilament light chain was increased after EBV seroconversion in MS [61].”
BackgroundGaloppin, M., Kari, S., Soldati, S. G., Pal, A., Rival, M., Engelhardt, B., Astier, A., & Thouvenot, É. (2022) · Brain Communications · doi:10.1093/braincomms/fcac171 · Cited by 82
Molecular mimicry as a mechanism of viral immune evasion and autoimmunity
Maguire, C. P., Wang, C., Ramasamy, A., Fonken, C., Morse, B. A., Lopez, N., Wylie, D., & Melamed, E. (2024) · Nature Communications · doi:10.1038/s41467-024-53658-8 · Cited by 96
“In addition, we observe that for one of the most common herpesviruses (EBV), mimicry is signi fi cantly higher in latently expressed proteins compared to lytic proteins, further suggesting evasion of the adaptive immune system may be more advantageous duringthelatent stage of infection.”
InfluentialThe age at onset of relapsing-remitting multiple sclerosis has increased over the last five decades
Romero-Pinel, L., Bau, L., Matas, E., León, I., Muñoz‐Vendrell, A., Arroyo, P., Aumatell, C. M., Martínez-Yélamos, A., & Martínez‐Yélamos, S. (2022) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2022.104103 · Cited by 83
Methionine metabolism controls the B cell EBV epigenome and viral latency
Guo, R., Liang, J. H., Zhang, Y., Lutchenkov, M., Li, Z., Wang, Y., Trujillo-Alonso, V., Puri, R., Giulino-Roth, L. G., & Gewurz, B. E. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.08.008 · Cited by 76
The Role of BDNF in Multiple Sclerosis Neuroinflammation
Nociti, V., & Romozzi, M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24098447 · Cited by 81
Sequential immunotherapy: towards cures for autoimmunity
Ramírez‐Valle, F., Maranville, J., Roy, S., & Plenge, R. M. (2024) · Nature Reviews Drug Discovery · doi:10.1038/s41573-024-00959-8 · Cited by 81
Long, A. M., Kleiner, A., & Looney, R. J. (2023) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2022.11.001 · Cited by 80
Metadata
- Authors
- 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., & Ascherio, A.
- Affiliations
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
- Harvard University (US)
- Brigham and Women's Hospital (US)
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland.
- Uniformed Services University of the Health Sciences (US)
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
- Corresponding author
- Cortese, Marianna
- Munger, Kassandra L.
- Ascherio, Alberto
- ORCID
- Venue
- Science
- Published
- 2022-01-21
- Volume
- 375
- Issue
- 6578
- Pages
- 296-301
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W4205972999
- Cited by
- 2,049
- References
- 51
- Citations by year
- 2026: 354 · 2025: 412 · 2024: 461 · 2023: 432 · 2022: 388
- FWCI
- 289.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institute of Neurological Disorders and Stroke (R01NS042194, R01NS046635, R01NS103891)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Oncology › Viral-associated cancers and disorders
- Health Sciences › Medicine › Epidemiology › Cytomegalovirus and herpesvirus research
- Keywords
- multiple sclerosis, Epstein-Barr virus, viral etiology, neurofilament light chain, neuroaxonal degeneration, cytomegalovirus, demyelinating disease, military personnel
- MeSH terms
- Antibodies, Viral, Cytomegalovirus, Herpesvirus 4, Human, Female, Humans, Longitudinal Studies, Male, Military Personnel, Multiple Sclerosis, Risk Factors, Cohort Studies, Biomarkers, Prevalence, Neurofilament Proteins, Age of Onset, Epstein-Barr Virus Infections, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review