Dunmire, S. K., Hogquist, K. A. & Balfour, H. H. Infectious mononucleosis. Curr. Top. Microbiol. Immunol. 390, 211–240 (2015).
de-Thé, G. et al. Sero-epidemiology of the Epstein-Barr virus: preliminary analysis of an international study – a review. IARC Sci. Publ 11(2), 3–16 (1975).
Venkitaraman, A. R., Lenoir, G. M. & John, T. J. The seroepidemiology of infection due to Epstein-Barr virus in Southern India. J. Med. Virol. 15, 11–16 (1985).
Levin, L. I., Munger, K. L., O’Reilly, E. J., Falk, K. I. & Ascherio, A. Primary infection with the Epstein-Barr virus and risk of multiple sclerosis. Ann. Neurol. 67, 824–830 (2010).
Balfour, H. H. Jr et al. Behavioral, virologic, and Immunologic factors associated with acquisition and severity of primary Epstein-Barr virus infection in university students. J. Infect. Dis. 207, 80–88 (2013).
Odumade, O. A., Hogquist, K. A. & Balfour, H. H. Jr. Progress and problems in Understanding and managing primary Epstein-Barr virus infections. Clin. Microbiol. Rev. 24, 193–209 (2011).
Hislop, A. D., Taylor, G. S., Sauce, D. & Rickinson, A. B. Cellular responses to viral infection in humans: lessons from Epstein-Barr virus. Annu. Rev. Immunol. 25, 587–617 (2007).
Murata, T. et al. Molecular Basis of Epstein-Barr Virus Latency Establishment and Lytic Reactivation. Viruses 13, (2021).
Ascherio, A. & Munger, K. L. Epidemiology of multiple sclerosis: from risk factors to Prevention-An update. Semin Neurol. 36, 103–114 (2016).
Läderach, F. & Münz, C. Epstein Barr Virus Exploits Genetic Susceptibility to Increase Multiple Sclerosis Risk. Microorganisms 9, (2021).
Li, Z. X., Zeng, S., Wu, H. X. & Zhou, Y. The risk of systemic lupus erythematosus associated with Epstein-Barr virus infection: a systematic review and meta-analysis. Clin. Exp. Med. 19, 23–36 (2019).
Balandraud, N. & Roudier, J. Epstein-Barr virus and rheumatoid arthritis. Joint Bone Spine. 85, 165–170 (2018).
Ebert, A. et al. Risk of inflammatory bowel disease following hospitalisation with infectious mononucleosis: A Danish nationwide cohort study (1977–2021). Nat. Commun. 15, 8383 (2024).
Vindegaard, N., Petersen, L. V., Lyng-Rasmussen, B. I., Dalsgaard, S. & Benros, M. E. Infectious mononucleosis as a risk factor for depression: A nationwide cohort study. Brain Behav. Immun. 94, 259–265 (2021).
Houen, G. & Trier, N. H. Epstein-Barr virus and systemic autoimmune diseases. Front. Immunol. 11, 587380 (2020).
Murata, T. Epstein-Barr virus: the molecular virology and the associated diseases. Fujita Med. J. 9, 65–72 (2023).
Björkegren, E. & Svaleryd, H. Birth order and health disparities throughout the life course. Soc. Sci. Med. 318, 115605 (2023).
Reini, K. & Saarela, J. Birth order and sickness absence: Register-based evidence from Finland. PLoS One. 18, e0280532 (2023).
Ponsonby, A. L. et al. Exposure to infant siblings during early life and risk of multiple sclerosis. JAMA 293, 463–469 (2005).
Kikkawa, T. et al. Birth order and paediatric allergic disease: A nationwide longitudinal survey. Clin. Exp. Allergy. 48, 577–585 (2018).
Rostgaard, K. et al. Sibship structure and risk of infectious mononucleosis: a population-based cohort study. Int. J. Epidemiol. 43, 1607–1614 (2014).
Rostgaard, K., Nielsen, N. M., Melbye, M., Frisch, M. & Hjalgrim, H. Siblings reduce multiple sclerosis risk by preventing delayed primary Epstein-Barr virus infection. Brain 146, 1993–2002 (2023).
Van Gool, A. et al. Analytical techniques for multiplex analysis of protein biomarkers. Expert Rev. Proteom. 17, 257–273 (2020).
Stefura, W. P., Graham, C., Lotoski, L. & HayGlass, K. T. Improved Methods for Quantifying Human Chemokine and Cytokine Biomarker Responses: Ultrasensitive ELISA and Meso Scale Electrochemiluminescence Assays. Methods Mol. Biol. 91–114 (2019). (2020).
Kjerulff, B. et al. Lifestyle and demographic associations with 47 inflammatory and vascular stress biomarkers in 9876 blood donors. Commun. Med. 4, 50 (2024).
Califf, R. M. Biomarker definitions and their applications. Exp. Biol. Med. 243, 213–221 (2018).
Joyner, M. J. & Paneth, N. Promises, promises, and precision medicine. J. Clin. Invest. 129, 946–948 (2019).
König, I. R., Fuchs, O., Hansen, G., von Mutius, E. & Kopp, M. V. What is precision medicine? Eur. Respir J. 50(4), 1700391 (2017).
Schüssler-Fiorenza Rose, S. M. et al. A longitudinal big data approach for precision health. Nat. Med. 25, 792–804 (2019).
Erikstrup, C. et al. Cohort profile: the Danish blood donor study. Int. J. Epidemiol. 52, e162–e171 (2023).
Hansen, T. F. et al. DBDS genomic cohort, a prospective and comprehensive resource for integrative and Temporal analysis of genetic, environmental and lifestyle factors affecting health of blood donors. BMJ Open. 9, e028401 (2019).
Leung, A. K. C., Lam, J. M. & Barankin, B. Infectious mononucleosis: an updated review. Curr. Pediatr. Rev. 20, 305–322 (2024).
Divani, A. A., Luo, X., Datta, Y. H., Flaherty, J. D. & Panoskaltsis-Mortari, A. Effect of oral and vaginal hormonal contraceptives on inflammatory blood biomarkers. Mediators Inflamm. 379501 (2015). (2015).
Park, H. Association between oral contraceptive use and the High-Sensitivity C-Reactive protein level in premenopausal Korean women. Healthc. (Basel) 10(2), 361 (2022).
Sørensen, C. J. et al. Combined oral contraception and obesity are strong predictors of low-grade inflammation in healthy individuals: results from the Danish blood donor study (DBDS). PLoS One. 9, e88196 (2014).
Gaskins, A. J. et al. Endogenous reproductive hormones and C-reactive protein across the menstrual cycle: the biocycle study. Am. J. Epidemiol. 175, 423–431 (2012).
Ballantyne, C. M. & Nambi, V. Markers of inflammation and their clinical significance. Atheroscler Suppl. 6, 21–29 (2005).
Ansar, W. & Ghosh, S. Inflammation and inflammatory diseases, markers, and mediators: role of CRP in some inflammatory diseases. in Biology of C Reactive Protein in Health and Disease (eds Ansar, W. & Ghosh, S.) 67–107 (Springer India, New Delhi, (2016).
Ngo, S. T., Steyn, F. J. & McCombe, P. A. Gender differences in autoimmune disease. Front. Neuroendocrinol. 35, 347–369 (2014).
Gleicher, N. & Barad, D. H. Gender as risk factor for autoimmune diseases. J. Autoimmun. 28, 1–6 (2007).
Schmidt, L. S. et al. Infectious exposure in the first years of life and risk of central nervous system tumours in children: analysis of birth order, childcare attendance and seasonality of birth. Br. J. Cancer. 102, 1670–1675 (2010).
Perrillat, F. et al. Day-care, early common infections and childhood acute leukaemia: a multicentre French case-control study. Br. J. Cancer. 86, 1064–1069 (2002).
Kamper-Jørgensen, M., Wohlfahrt, J., Simonsen, J. & Benn, C. S. The childcare database: a valuable register linkage. Scand. J. Public. Health. 35, 323–329 (2007).
Ansar, W. & Ghosh, S. C-reactive protein and the biology of disease. Immunol. Res. 56, 131–142 (2013).
Pope, J. E. & Choy, E. H. C-reactive protein and implications in rheumatoid arthritis and associated comorbidities. Semin. Arthritis Rheum. 51, 219–229 (2021).
Vermeire, S., Van Assche, G. & Rutgeerts, P. C-reactive protein as a marker for inflammatory bowel disease. Inflamm. Bowel Dis. 10, 661–665 (2004).
Sproston, N. R. & Ashworth, J. J. Role of C-Reactive protein at sites of inflammation and infection. Front. Immunol. 9, 754 (2018).
Schoeler, T., Pingault, J. B. & Kutalik, Z. The impact of self-report inaccuracy in the UK biobank and its interplay with selective participation. Nat. Hum. Behav. 9, 584–594 (2024).
Rostgaard, K. et al. Primary Epstein-Barr virus infection with and without infectious mononucleosis. PLOS ONE. 14, e0226436 (2019).
Rostgaard, K., Wohlfahrt, J. & Hjalgrim, H. A genetic basis for infectious mononucleosis: evidence from a family study of hospitalized cases in Denmark. Clin. Infect. Dis. 58, 1684–1689 (2014).
Mosbech, J. et al. The National patient registry. Evaluation of data quality. Ugeskr Laeger. 157, 3741–3745 (1995).
Rigas, A. S. et al. The healthy donor effect impacts self-reported physical and mental health – results from the Danish blood donor study (DBDS). Transfus. Med. 29, 65–69 (2017).
Chastain, E. M. L. & Miller, S. D. Molecular mimicry as an inducing trigger for CNS autoimmune demyelinating disease. Immunol. Rev. 245, 227–238 (2012).
Rostgaard, K., Søegaard, S. H., Stensballe, L. G. & Hjalgrim, H. Antimicrobials use and infection hospital contacts as proxies of infection exposure at ages 0–2 years and risk of infectious mononucleosis. Sci. Rep. 13, 21251 (2023).
Winter, J. R. et al. Predictors of Epstein-Barr virus serostatus and implications for vaccine policy: A systematic review of the literature. J. Glob Health. 10, 010404 (2020).
Kuri, A. et al. Epidemiology of Epstein-Barr virus infection and infectious mononucleosis in the united Kingdom. BMC Public. Health. 20, 912 (2020).
Kenney, A. D. et al. Human genetic determinants of viral diseases. Annu. Rev. Genet. 51, 241–263 (2017).
Burgdorf, K. S. et al. Digital questionnaire platform in the Danish blood donor study. Comput. Methods Programs Biomed. 135, 101–104 (2016).
Schmidt, M., Pedersen, L. & Sørensen, H. T. The Danish civil registration system as a tool in epidemiology. Eur. J. Epidemiol. 29, 541–549 (2014).
Mainz, J., Hess, M. H. & Johnsen, S. P. The Danish unique personal identifier and the Danish civil registration system as a tool for research and quality improvement. Int. J. Qual. Health Care. 31, 717–720 (2019).
Lynge, E., Sandegaard, J. L. & Rebolj, M. The Danish National patient register. Scand. J. Public. Health. 39, 30–33 (2011).
Bellis, M. A., Hughes, K., Hughes, S. & Ashton, J. R. Measuring paternal discrepancy and its public health consequences. J. Epidemiol. Community Health. 59, 749–754 (2005).
Dinh, K. M. et al. Low-grade inflammation is negatively associated with physical Health-Related quality of life in healthy individuals: results from the Danish blood donor study (DBDS). PLoS One 14(3), e0214468 (2019).