Abstract
Background
Multiple sclerosis (MS) is characterized by inflammatory lesions in the central nervous system involving pro-inflammatory T-cells. Immune dysregulation is well described in prevalent disease, but it is not known whether this precedes disease development. Bacillus Calmette–Guérin (BCG) vaccination ameliorates MS-like disease in mice. In people vaccinated with BCG, the tuberculin skin test (TST) offers a standardized measure of a T-cell-mediated immune response. We therefore hypothesized that the strength of the TST response after BCG vaccination is associated with subsequent MS risk.
Methods
Using data from a Norwegian tuberculosis screening programme (1963–1975), we designed a population-based cohort study and related the size of TST reactions in individuals previously vaccinated with BCG to later MS disease identified through the Norwegian MS registry. We fitted Cox proportional hazard models and flexible parametric survival models to investigate the association between TST reactivity, MS risk and its temporal relationship.
Results
Among 279 891 participants (52% females), 679 (69% females) later developed MS. Larger TST reactivity was associated with decreased MS risk. The hazard ratio for MS per every 4-mm increase in skin induration size was 0.86 (95% confidence interval 0.76–0.96) and similar between sexes. The strength of the association persisted for >30 years after the TST.
Conclusion
A strong in vivo vaccine response to BCG is associated with reduced MS risk >30 years later. The immunological mechanisms determining TST reactivity suggest that skewed T-cell-mediated immunity precedes MS onset by many decades.
Keywords: Neurology, multiple sclerosis, neuroinflammation, neuroepidemiology, immune responses, Bacillus Calmette–Guérin, cohort study
Key Messages.
Tuberculin skin test (TST) responses after Bacillus Calmette–Guérin (BCG) vaccination are dependent on T-cell-mediated memory recall immunity, involving key immune elements also operating in multiple sclerosis (MS).
It is not known whether immune dysregulation precedes MS disease development.
We found that a strong tuberculin response after BCG vaccination was associated with lower MS risk and that the association persisted for >30 years after the TST.
The immunological mechanisms determining TST reactivity suggest that skewed T-cell-mediated immunity precedes MS onset by many decades.
Introduction
The prevalence of multiple sclerosis (MS) is increasing and a total of 2.8 million people live with MS worldwide.1 MS is driven by inflammation in the central nervous system involving both T-cells, B-cells and myeloid cells.2 The prevailing genetic association with human leukocyte antigen (HLA) class II and other immune-related genes,3 as well as indirect evidence from animal models, suggest that pro-inflammatory CD4 T-cells play a primary role in disease initiation. Although no target antigen has been firmly established, the clonal expansion of B-cells in the brain, cerebrospinal fluid and cervical lymph nodes are characteristic of an antigen-driven adaptive immune response.4
The main environmental risk factors associated with MS, including Epstein–Barr virus (EBV) infection,5 smoking,6 low vitamin D levels7 and adiposity in early life,8 may facilitate pro-inflammatory adaptive immune responses. Whereas several studies suggest defective peripheral B- and T-cell immune tolerance in people with MS,9 as for other autoimmune diseases, it is not known whether, and if so when, immune dysregulation precedes disease development. To address this question, we have used population-based data from the compulsory Norwegian tuberculosis screening programme, including a quantitative measure of a post-vaccination immune response against Bacillus Calmette–Guérin (BCG).
BCG is an attenuated strain of Mycobacterium bovis used extensively since 1921. BCG elicits strong T-cell-mediated immune responses, involving both pro-inflammatory and regulatory T-cells,10 as well as long-term epigenetic changes of innate immune cells—so-called trained immunity.11 Thus, both adaptive and innate immunity may contribute to the pleiotropic effects of BCG.12 In addition to partial protection against tuberculosis and treatment for bladder cancer, BCG ameliorates experimental autoimmune encephalomyelitis 13 through suppression of encephalitogenic Th17-cells in the central nervous system.13 Moreover, BCG vaccination has been shown to prevent inflammatory disease activity in patients with early stages of MS.14 Immune responses induced or regulated by BCG may therefore be relevant in MS.
In the early twentieth century, Norway had one of Europe’s highest tuberculosis rates.15 In 1947, responding to this threat and motivated by new possibilities for case finding and treatment, the Norwegian Parliament passed an act making participation in a national tuberculosis control programme compulsory for all >14 years of age. The programme included tuberculosis testing through chest X-ray, tuberculin skin test (TST) and height and weight measurement. All individuals with a negative TST and no signs of tuberculosis disease were strongly encouraged to accept vaccination with BCG.16,17
The TST has been employed since the early twentieth century primarily to detect infection with tuberculosis18 but also to document the immunological response to BCG vaccine. In Norway, even those who had a previously documented BCG vaccination, commonly as part of the national school vaccination programme at age 12–14 years, underwent testing with the TST in the compulsory screening programme. The test represents a classical delayed-type hypersensitivity response to the intradermal application of antigens derived from tubercle bacilli. It produces a skin induration in patients previously sensitized towards the antigen, either from BCG vaccination or from infection with Mycobacteriumtuberculosis or other mycobacteria. A positive response expresses an intact T-cell-mediated memory recall immunity19 involving many of the key immune mediators operating in MS. Thus, skin biopsies taken at various time points after the TST reveal infiltration and a strong dependence of CD4 T-cells.20 Furthermore, Th17 activity has been shown to facilitate a post-BCG vaccination response21 and, conversely, lack of Th17 activity inhibits this response.22 Th17-cells may also have a pivotal role in MS pathogenesis.2,23
In this study, we identified a large group of young individuals characterized by having undergone a standardized immunization (BCG vaccine) followed by a TST and explored whether those who later developed MS had had a deviating tuberculin response after BCG vaccination in early life.
Materials and methods
Study population
During 1948–1975, a compulsory screening programme for tuberculosis in the general population was performed by the National Mass Radiography Service for all individuals aged ≥15 years in 18 of Norway’s 19 counties. The capital of Oslo had a separate screening programme. Non-attendance was mainly due to ‘acceptable excuses’ such as already under control or treatment for tuberculosis, in military service or in hospital. The overall attendance rate among eligible individuals was 80–85%.24 Computerized records of examinations conducted between 1963 and 1975 comprise chest X-ray investigations, TST measurements, documentation of BCG vaccination status and measured heights and weights from 1 911 598 individuals. The national school vaccination programme in Norway was gradually implemented from the early 1950s during the sixth to eighth grades (ages 12–14 years) with very high coverage. Hence, in this late stage of the tuberculosis screening programme, a large proportion of young participants were BCG-vaccinated.17 At the same time, the incidence of tuberculosis in Norway dropped to a very low rate (<2/100 000) in these age groups.15,17
BCG was produced at the Bergen State BCG Laboratory (Bergen, Norway) using the Swedish Gothenburg strain until 197325 and thereafter by Statens Serum Institute (Copenhagen, Denmark). Liquid BCG was gradually replaced by freeze-dried BCG between 1959 and 1973.26
We aimed to include young, vaccinated individuals with a succeeding TST result (Figure 1). In total, 279 891 individuals matched our pre-defined criteria of being aged 12–18 years at BCG vaccination (85% of whom were 12–14 years old) and 13–30 years old at examination with a TST. If a participant was screened more than once, the first TST was selected. Only the calendar year for vaccination and TST were available. Therefore, to ensure that the vaccination had preceded the TST, the sample was limited to individuals with a previously documented BCG vaccination at least a year before examination with a TST. Ultimately, we excluded individuals registered with onset of MS symptoms prior to the TST.
TST
For the TST, the adrenaline–Pirquet method was used.27 A drop of concentrated tuberculin (Old tuberculin) was placed on the volar aspect of the underarm. Adrenaline was added to the solution throughout the period to increase the biological activity. Two 5-mm-long scratches were then produced in the superficial layer of the skin by means of a pen nib and the sites left to dry for 5 min. After 48 h (maximum 72 h), the largest of the two infiltrates was recorded in mm. The tuberculin skin infiltrate (induration) size was measured according to strict national guidelines during the screening programme.15 In this paper, ‘TST’ refers to the adrenaline–Pirquet test, whereas we use TST reactivity when referring to the measured TST induration sizes.
We modelled TST reactivity in three ways: (i) continuously (4-mm increments), (ii) by quartiles of distribution and (iii) binary (0–3 or ≥4 mm). The latter was the definition used for positive or negative TST during the Norwegian mandatory mass tuberculosis screening and BCG vaccination programme.15
Case ascertainment and data linkage
MS cases were identified through the Norwegian MS registry and biobank (hereafter referred to as ‘the MS registry’). The MS registry is based on informed consent. Its operative period dates back to 2001. From that time onwards, both incident and prevalent cases have been registered in the database by local neurologists. Date of symptom onset (clinical isolated syndrome (CIS) or a less defined symptom) is recorded based on hospital records or patient recall. Thus, for many cases in the MS registry, the recorded date of symptom onset precedes the date of registry initiation by years and decades. Although it is a nationwide registry, in adjacent years following registry initiation, geographical coverage was variable. The overall completeness of the registry has gradually increased and is currently reported as being close to 80% of that calculated from an administrative health register (Norwegian Patient Registry). The MS registry is nationwide but geographical coverage is nevertheless still somewhat variable.28 From the MS registry we collected information on date of symptom onset, date of diagnosis, disease course at diagnosis and county of residence.
We retrieved vital status and emigration from the National Population Registry. Data were extracted on 26 November 2020. Register linkage was facilitated through the unique personal identification number given to all Norwegian citizens.
Statistical analysis
Each participant contributed the follow-up time from the date of the TST to the date of MS symptom onset, death, emigration or the end of study follow-up (26 November 2020), whichever came first.
Hazard ratios (HRs) and their 95% CIs were calculated using Cox proportional hazard models with time since TST (years) as the time variable. In one basic model, age at BCG and time between BCG and TST were included as the only covariates. These factors are considered the most important determinants of tuberculin reactivity in BCG-vaccinated individuals.19,29 In our main multivariable-adjusted model, we added sex, BMI, birth year and county of residence as covariates.
We used TST reactivity as a continuous exposure. To investigate the dose–response relationship, we fitted our main multivariable Cox model using restricted cubic splines (with three knots) in the continuous TST measurement. We also show results of TSTs categorized into quartiles.
Between-sex heterogeneity was tested using a likelihood ratio test between the main model and a model including an interaction term of TST reactivity and sex. If increasing HR was observed with increasing time between BCG and TST, it could potentially imply effects from infection with M. tuberculosis or non-tuberculous mycobacteria.19 We therefore also tested the interaction between TST reactivity and time between BCG and TST in a similar manner.
For investigating the potential time-varying effects (non-proportional hazards), we fitted flexible parametric models (specified the same way as the main model above) using the stpm2 package in STATA.30 Here, we allowed the effect of 4-mm increments in TST reactivity to vary over the analysis time using a spline. We then plotted predicted HRs using both time since screening and age under study as timescales.
In sensitivity analyses, multivariable Cox models using continuous TST reactivity were performed: (i) limited to individuals residing in counties characterized by above average MS registry coverage; (ii) excluding the first 5 years of follow-up. The latter was done to minimize the possibility of including screening participants in a prodromal phase of MS.
The statistical program STATA (version SE 16.1) was used for calculations.
Results
The 279 891 participants selected from the tuberculosis screening programme (52% female) collectively contributed to 13 776 184 person-years of observation time and had a mean follow-up of 49.2 years [standard deviation (SD) 7.6]. We identified 679 cases (69% female) in the MS registry with a mean follow-up of 21 years (SD 10.5).
Although ages at BCG were similar, cases were somewhat younger than non-cases at the time of the TST. Consequently, the elapsed time between these events was shorter among cases (Table 1).
Table 1.
Females |
Males |
|||
---|---|---|---|---|
MS | Non-MS | MS | Non-MS | |
Participants (N) | 469 | 145 559 | 210 | 133 653 |
Age at BCG [mean years (SD)] | 13.3 (1.4) | 13.4 (1.4) | 13.2 (1.3) | 13.2 (1.3) |
Age at TST [mean years (SD)] | 19.7 (4.3) | 21.1 (4.8) | 18.9 (3.9) | 20.7 (4.8) |
Years between BCG vaccination and TST [mean (SD)] | 6.4 (4.3) | 7.8 (4.6) | 5.7 (3.9) | 7.4 (4.6) |
Birth year [mean (SD)] | 1949 (4.9) | 1947 (5.4) | 1950 (4.5) | 1948 (5.4) |
BMI [mean kg/m2 (SD)] | 22.0 (3.1) | 22.1 (2.8) | 22.3 (2.8) | 21.9 (2.6) |
TST infiltrate size [mean mm (SD)] | 5.5 (2.6) | 6.0 (2.9) | 6.1 (2.5) | 6.5 (2.8) |
MS, multiple sclerosis; BCG, Bacillus Calmette–Guérin; TST, tuberculin skin test; SD, standard deviation.
In general, larger TST reactivity was associated with decreased MS risk. Entering the TST as a continuous variable, a 4-mm increase was associated with a multivariable-adjusted HR of 0.86 (95% CI 0.76–0.96) (Table 2). The associated risk reduction for MS was mainly driven by those with the largest infiltrate sizes (Table 2 and Figure 2). Using the pre-defined dichotomy, the HR of MS was 0.86 (95% CI 0.71–1.03) in those with a positive (≥4 mm) compared with those with a negative (0–3 mm) TST reaction.
Table 2.
TST category | Participants | Multiple sclerosis | Person-years | Age-adjusteda HR (95% CI) | Multivariable adjustedb HR (95% CI) |
---|---|---|---|---|---|
HR per 4-mm increment in infiltrate size | 279 889 | 679 | 13 776 184 | 0.83 (0.75–0.93) | 0.86 (0.76–0.96) |
Quantiles of distributionc | |||||
First quartile | 83 756 | 233 | 4 165 549 | 0.99 (0.81–1.20) | 0.95 (0.78–1.15) |
Second quartile | 67 159 | 182 | 3 317 245 | Reference | |
Third quartile | 73 392 | 178 | 3 588 191 | 0.95 (0.78–1.17) | 0.95 (0.78–1.17) |
Fourth quartile | 55 584 | 86 | 2 705 200 | 0.65 (0.50–0.84) | 0.65 (0.50–0.85) |
Adjusted for age at TST and age at BCG.
Multivariate adjusted for sex, age at BCG, age at TST, birth year, county of residence and BMI.
First quartile: 0–4 mm; second quartile: 5–6 mm; third quartile: 7–8 mm; fourth quartile: 9–50 mm.
TST, tuberculin skin test; BCG, Bacillus Calmette–Guérin; HR, hazard ratio.
The association between a 4-mm increase in the TST reactivity and MS risk was stable over the observation time (proportional hazards) and persisted for more than three decades (Figure 3). Changing the timescale to age under study, the strength of the association was also similar for different ages at MS symptom onset (Supplementary Figure S1, available as Supplementary data at IJE online).
There was no effect modification by either sex (P = 0.99) or elapsed time between BCG and TST (P = 0.65).
To address the possibility of reverse causality, we performed a sensitivity analysis excluding the first 5 years of follow-up. Here, 42 cases were excluded leaving 637 cases among 278 719 participants. The results remained similar. The HR for MS was 0.86 (95% CI 0.76–0.96) for each 4-mm increment in TST reactivity. Restricted analysis to participants residing in 10 counties characterized by above average MS registry coverage left 168 842 participants and 451 cases. The association between TST and MS risk persisted [HR for MS was 0.82 (95% CI 0.71–0.94) for each 4-mm increment in TST reactivity].
Discussion
In this population-based study, we show that a strong post-BCG vaccination immune response, as measured by TST reactivity, is associated with decreased risk of MS >30 years later.
Both BCG vaccination and infection with M.tuberculosis and other mycobacteria may contribute to TST results.31 All individuals under study had undergone BCG vaccination, typically 5–10 years prior to the TST. In this temporal context, and since the strength of the association was unaffected by the time between BCG and TST,31 the variation in the TST reactivity in our study population most probably should reflect individual variation in immune responses to BCG rather than environmental exposure to mycobacteria. Accordantly, this study included young participants screened in the late stage of the screening programme when the incidence of tuberculosis in Norway was low.15,17 Moreover, serological studies from Italy and Japan show increased antibody reactivity against Mycobacteria avium subsp. paratuberculosis in people with MS,32,33 suggesting that any effect of mycobacteria infection on MS risk would be opposite to our results.
Prospective studies on healthcare use,34 cognitive performance35 and serum biomarkers of neurodegeneration36 suggest a long prodromal phase in MS. Although we cannot exclude that our findings represent reverse causality with disease-induced alterations of immune responses, this seems unlikely since the strength of the association did not vary over the observation time, was present decades before symptom onset and persisted when excluding the first 5 years of follow-up. Rather, the observations are compatible with genetic or acquired variations in immune regulation.
Although no specific shared gene or genes are known, genetic factors linked to both tuberculosis,37 TST reactivity38,39 and MS susceptibility3 include HLA class II and other genes that influence T-cell-mediated immunity and could potentially explain the observed association. Moreover, environmental factors can affect both MS risk and TST reactivity. Whereas EBV infection is a major environmental risk factor for MS,5 psychosocial stress has been associated with both MS risk and with diminished T-cell-mediated immune responses including TST and with EBV reactivation.40 Our findings are compatible with restrained T-cell-mediated immunity making some individuals more prone to viral infections and reactivations linked to MS disease initiation.
Early-life obesity is also associated with increased MS risk.8 Reports linking nutritional status and body weight to TST reactivity are conflicting, with malnutrition possibly causing TST anergy.41,42 Regardless, BMI was included in our adjusted analyses and should not have biased our results. Both smoking6 and low levels of vitamin D,7 other potential risk factors for MS, have no known direct effects on delayed-type hypersensitivity reactions. Nevertheless, these factors impact the immune system in a variety of ways43–45 and are potential unmeasured confounding factors in our study.
Our study has limitations. Case ascertainment was not complete. If missing data are related to the exposure or confounding factors, bias can be introduced. First, whereas symptom onset in some cases was dated back to a calendar time close to the TST screening, the Norwegian MS registry did not include incident patients before 2001. Hence, the mean age at onset in this case cohort was older (mean 40 years) than is typical for MS (closer to 30 years). Although age at onset may relate to disease phenotype, it is not believed that it directly relates to the underlying pathophysiology of the disease.46 In accordance, no clear variance in the strength of the observed association was seen across different ages at onset. Nevertheless, we cannot exclude that a relative under-ascertainment of people diagnosed with MS at young ages has affected our results. Thus, individuals with a strong tuberculin response and a genetic predisposition for MS could get the disease at younger ages than those with a weak tuberculin responses. Second, MS registry coverage varies between counties. Although the distribution of tuberculosis infections and consequently the frequency of mass screening visits varied geographically, we know of no such variation in either the BCG strains used or the strict protocols for TST reading. Our sensitivity analysis restricted to participants residing in areas with above average MS registry coverage produced stronger effect estimates. This further supports our assumption of no significant bias from incomplete case finding.
In conclusion, we have demonstrated that strong BCG vaccine responses are associated with low MS risk more than three decades later at a population level. Vaccine responses represent an opportune way to investigate whether variation in immune regulation precedes disease development because they use standardized and well-documented exposures and measures. Increased insights into determinants of such a variation may provide further clues into the disease-causing chain of events in MS and other immunological diseases.
Ethics approval
This study was approved by the regional ethics committee (REK South East, ref. no. 2016/1731) with informed consent for persons included from the national tuberculosis screening programme waived in the current study. Written informed consent for use of the information in the research and for data linkage was obtained during enrolment from all participants in the MS registry.
Data availability
Pseudonymized data are not sharable according to Norwegian law. Further information about the data set is available from the corresponding author on reasonable request.
Supplementary data
Supplementary data are available at IJE online.
Author contributions
O.N. (guarantor) collected data, performed statistical analyses, interpreted data and drafted the manuscript. T.H. drafted the Introduction, interpreted data and revised the manuscript. H.S. designed the analytical strategy and revised the manuscript. K.M.M. interpreted data and revised the manuscript. E.H. interpreted data and revised the manuscript. J.D. interpreted data and revised the manuscript. H.M. designed the study, interpreted data and revised the manuscript.
Funding
None.
Conflict of interest
K.M.M. has received unrestricted research grants to his institution, scientific advisory board or speaker honoraria from Biogen, Sanofi, Merck, Novartis or Roche and has participated in clinical trials organized by Biogen, Sanofi, Merck, Novartis and Roche. T.H. has received speaker honoraria, research support/grants and participated in clinical trials for Biogen, Merck, Sanofi and Novartis, is a member of the scientific board of the Norwegian MS society and has received financial support from the Research Council of Norway (grant #250864). All other authors have none declared.
Supplementary Material
Contributor Information
Ola Nakken, Department of Neurology, Akershus University Hospital, Lørenskog, Norway.
Trygve Holmøy, Department of Neurology, Akershus University Hospital, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Hein Stigum, Department of Physical Health and Ageing, Norwegian Institute of Public Health, Oslo, Norway; Department of Community Medicine and Global Health, University of Oslo, Oslo, Norway.
Kjell-Morten Myhr, Department of Clinical Medicine, University of Bergen, Bergen, Norway; Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway.
Jesper Dahl, Department of Physical Health and Ageing, Norwegian Institute of Public Health, Oslo, Norway.
Einar Heldal, Department of Physical Health and Ageing, Norwegian Institute of Public Health, Oslo, Norway.
Haakon E Meyer, Department of Physical Health and Ageing, Norwegian Institute of Public Health, Oslo, Norway; Department of Community Medicine and Global Health, University of Oslo, Oslo, Norway.
References
- 1. Walton C, King R, Rechtman L. et al. Rising prevalence of multiple sclerosis worldwide: insights from the Atlas of MS. Mult Scler 2020;26:1816–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Haase S, Linker RA.. Inflammation in multiple sclerosis. Ther Adv Neurol Disord 2021;14:17562864211007687. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Sawcer S, Hellenthal G, Pirinen M. et al. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis. Nature 2011;476:214–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Stern JN, Yaari G, Vander Heiden JA. et al. B cells populating the multiple sclerosis brain mature in the draining cervical lymph nodes. Sci Transl Med 2014;6:248ra107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Ascherio A, Munger KL.. Environmental risk factors for multiple sclerosis. Part I: The role of infection. Ann Neurol 2007;61:288–99. [DOI] [PubMed] [Google Scholar]
- 6. Qiu F, Liang C-L, Liu H. et al. Impacts of cigarette smoking on immune responsiveness: up and down or upside down? Oncotarget 2017;8:268–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Ascherio A, Munger KL, Simon KC.. Vitamin D and multiple sclerosis. Lancet Neurol 2010;9:599–612. [DOI] [PubMed] [Google Scholar]
- 8. Wesnes K, Riise T, Casetta I. et al. Body size and the risk of multiple sclerosis in Norway and Italy: the EnvIMS study. Mult Scler 2015;21:388–95. [DOI] [PubMed] [Google Scholar]
- 9. Verma ND, Lam AD, Chiu C, Tran GT, Hall BM, Hodgkinson SJ.. Multiple sclerosis patients have reduced resting and increased activated CD4+CD25+FOXP3+T regulatory cells. Sci Rep 2021;11:10476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Li L, Qiao D, Zhang X, Liu Z, Wu C.. The immune responses of central and effector memory BCG-specific CD4+ T cells in BCG-vaccinated PPD+ donors were modulated by Treg cells. Immunobiology 2011;216:477–84. [DOI] [PubMed] [Google Scholar]
- 11. Netea MG, Domínguez-Andrés J, Barreiro LB. et al. Defining trained immunity and its role in health and disease. Nat Rev Immunol 2020;20:375–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Singh AK, Netea MG, Bishai WR.. BCG turns 100: its nontraditional uses against viruses, cancer, and immunologic diseases. J Clin Invest 2021;131:e148291. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Matsuzaki G, Teruya N, Kiyohara Kohama H. et al. Mycobacterium bovis BCG-mediated suppression of Th17 response in mouse experimental autoimmune encephalomyelitis. Immunopharmacol Immunotoxicol 2021;43:203–11. [DOI] [PubMed] [Google Scholar]
- 14. Ristori G, Romano S, Cannoni S. et al. Effects of Bacille Calmette-Guerin after the first demyelinating event in the CNS. Neurology 2014;82:41–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Waaler H, Galtung O, Mordal K.. The risk of tuberculous infection in Norway. Bull Int Union Tuberc 1975;50:5–61. [PubMed] [Google Scholar]
- 16. Harthug H. Strategier for BCG-vaksinasjon 1947–94. Tidsskr nor Laegeforen 2016;136:930–33. [DOI] [PubMed] [Google Scholar]
- 17. Bjartveit K, Waaler H.. Some evidence of the efficacy of mass BCG vaccination. Bull World Health Organ 1965;33:289–319. [PMC free article] [PubMed] [Google Scholar]
- 18. Yang H, Kruh-Garcia NA, Dobos KM.. Purified protein derivatives of tuberculin—past, present, and future. FEMS Immunol Med Microbiol 2012;66:273–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Huebner RE, Schein MF, Bass JB. Jr. The tuberculin skin test. Clin Infect Dis 1993;17:968–75. [DOI] [PubMed] [Google Scholar]
- 20. Gibbs J, Ferguson J, Brown R. et al. Histometric study of the localisation of lymphocyte subsets and accessory cells in human Mantoux reactions. J Clin Pathol 1984;37:1227–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Gopal R, Lin Y, Obermajer N. et al. IL‐23‐dependent IL‐17 drives Th1‐cell responses following Mycobacterium bovis BCG vaccination. Eur J Immunol 2012;42:364–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Umemura M, Yahagi A, Hamada S. et al. IL-17-mediated regulation of innate and acquired immune response against pulmonary Mycobacterium bovis bacille Calmette-Guerin infection. J Immunol 2007;178:3786–96. [DOI] [PubMed] [Google Scholar]
- 23. Korn T. Pathophysiology of multiple sclerosis. J Neurol 2008;255:2–6. [DOI] [PubMed] [Google Scholar]
- 24. Waaler HT. Height, weight and mortality: the Norwegian experience. Acta Med Scand Suppl 1984;679:1–56. [DOI] [PubMed] [Google Scholar]
- 25. Hesselberg I. Drug resistance in the Swedish/Norwegian BCG strain. Bull World Health Organ 1972;46:503–07. [PMC free article] [PubMed] [Google Scholar]
- 26. Tverdal A, Funnemark E.. Protective effect of BCG vaccination in Norway 1956–1973. Tubercle 1988;69:119–23. [DOI] [PubMed] [Google Scholar]
- 27. Jentoft H, Omenaas E, Eide G, Gulsvik A.. Tuberculin test variability: using the Norwegian adrenaline-Pirquet method. Int J Tuberc Lung Dis 1999;3:326–29. [PubMed] [Google Scholar]
- 28. National Multiple Sclerosis Competence Center Norway. eRapport [eReport] 2020. 31 January 2021. https://forskningsprosjekter.ihelse.net/senter/rapport/NK-HB4/2020 (1 May 2021, date last accessed).
- 29. Menzies D. What does tuberculin reactivity after bacille Calmette-Guerin vaccination tell us? Clin Infect Dis 2000;31(Suppl 3):S71–74. [DOI] [PubMed] [Google Scholar]
- 30. Royston P, Parmar MK.. Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Stat Med 2002;21:2175–97. [DOI] [PubMed] [Google Scholar]
- 31. Wang L, Turner M, Elwood R, Schulzer M, FitzGerald J.. A meta-analysis of the effect of Bacille Calmette Guerin vaccination on tuberculin skin test measurements. Thorax 2002;57:804–09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Cossu D, Yokoyama K, Sechi LA. et al. Humoral response against host-mimetic homologous epitopes of Mycobacterium avium subsp. paratuberculosis in Japanese multiple sclerosis patients. Sci Rep 2016;6:1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Cossu D, Cocco E, Paccagnini D. et al. Association of Mycobacterium avium subsp. paratuberculosis with multiple sclerosis in Sardinian patients. PLoS One 2011;6:e18482. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Wijnands JM, Kingwell E, Zhu F. et al. Health-care use before a first demyelinating event suggestive of a multiple sclerosis prodrome: a matched cohort study. Lancet Neurol 2017;16:445–51. [DOI] [PubMed] [Google Scholar]
- 35. Cortese M, Riise T, Bjornevik K. et al. Preclinical disease activity in multiple sclerosis: a prospective study of cognitive performance prior to first symptom. Ann Neurol 2016;80:616–24. [DOI] [PubMed] [Google Scholar]
- 36. Bjornevik K, Munger KL, Cortese M. et al. Serum neurofilament light chain levels in patients with presymptomatic multiple sclerosis. JAMA Neurol 2020;77:58–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Sveinbjornsson G, Gudbjartsson DF, Halldorsson BV. et al. HLA class II sequence variants influence tuberculosis risk in populations of European ancestry. Nat Genet 2016;48:318–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Seedat F, James I, Loubser S. et al. Human leukocyte antigen associations with protection against tuberculosis infection and disease in human immunodeficiency virus-1 infected individuals, despite household tuberculosis exposure and immune suppression. Tuberculosis 2021;126:102023. [DOI] [PubMed] [Google Scholar]
- 39. Cobat A, Barrera LF, Henao H. et al. Tuberculin skin test reactivity is dependent on host genetic background in Colombian tuberculosis household contacts. Clin Infect Dis 2012;54:968–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Mehta SK, Pierson DL, Cooley H, Dubow R, Lugg D.. Epstein‐Barr virus reactivation associated with diminished cell‐mediated immunity in Antarctic expeditioners. J Med Virol 2000;61:235–40. [DOI] [PubMed] [Google Scholar]
- 41. Piñeiro R, Cilleruelo MJ, García-Hortelano M, García-Ascaso M, Medina-Claros A, Mellado MJ.. Effect of nutritional status on tuberculin skin testing. Indian J Pediatr 2013;80:271–75. [DOI] [PubMed] [Google Scholar]
- 42. Pelly T, Santillan C, Gilman R. et al. Tuberculosis skin testing, anergy and protein malnutrition in Peru. Int J Tuberc Lung Dis 2005;9:977–84. [PMC free article] [PubMed] [Google Scholar]
- 43. Stämpfli MR, Anderson GP.. How cigarette smoke skews immune responses to promote infection, lung disease and cancer. Nat Rev Immunol 2009;9:377–84. [DOI] [PubMed] [Google Scholar]
- 44. Yang S, Smith C, Prahl JM, Luo X, DeLuca HF.. Vitamin D deficiency suppresses cell-mediated immunity in vivo. Arch Biochem Biophys 1993;303:98–106. [DOI] [PubMed] [Google Scholar]
- 45. Schwalfenberg GK. A review of the critical role of vitamin D in the functioning of the immune system and the clinical implications of vitamin D deficiency. Mol Nutr Food Res 2011;55:96–108. [DOI] [PubMed] [Google Scholar]
- 46. Thompson AJ, Baranzini SE, Geurts J, Hemmer B, Ciccarelli O.. Multiple sclerosis. Lancet (London, England) 2018;391:1622–36. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Pseudonymized data are not sharable according to Norwegian law. Further information about the data set is available from the corresponding author on reasonable request.