High serum concentration of vitamin D may protect against multiple sclerosis

Abstract

Background

High 25-hydroxyvitamin D concentrations have been associated with a reduced risk of multiple sclerosis, with indications of a stronger effect among young individuals.

Objective

Investigate the 25-hydroxyvitamin D association with multiple sclerosis and test if this association is age dependent.

Methods

Prospectively drawn blood samples from individuals later developing relapsing–remitting multiple sclerosis and controls matched for biobank, sex, age and date of sampling, were analysed with liquid chromatography tandem mass spectrometry.

Results

High levels of 25-hydroxyvitamin D (top quintile) were associated with a reduced multiple sclerosis risk (odds ratio 0.68, 95% confidence interval 0.50–0.93).

Conclusion

These findings further support a role for vitamin D in MS aetiology.

Keywords

Vitamin D multiple sclerosis case–control studies risk factors epidemiology 25-hydroxyvitamin D

Introduction

Higher serum concentrations of 25-hydroxyvitamin D (25(OH)D) have repeatedly been associated with a decreased risk of multiple sclerosis (MS) development in nested case–control studies^1–3 with one study showing a larger effect before 20 years of age.¹ Additional support for a causal role of vitamin D in MS aetiopathogenesis comes from Mendelian randomisation studies^4,5 but this subject remains controversial.⁶

In this study we aimed to test the hypothesis that high 25(OH)D concentrations reduce the risk of developing MS, with a more pronounced effect among young individuals, by comparing blood samples from healthy controls to samples from individuals who later developed relapsing–remitting multiple sclerosis (RRMS). To achieve these goals, we accessed six Swedish biobanks specifically chosen because they include plasma or serum drawn at a young age.

Materials and methods

Case ascertainment

In this nested case–control study we accessed five Swedish microbiological biobanks associated with university hospitals in Umeå, Örebro, Göteborg, Skåne and Linköping and one biobank from the Public Health Agency of Sweden (PHAS), to obtain serum or plasma from a total of 670 individuals who later developed RRMS and 670 controls matched for biobank and sex, and with decreasing priority for date of sampling and age. These biobanks contain remainders from serological analysis in routine clinical practice. Cases were identified either through crosslinking with the Swedish MS registry (www.neuroreg.se) or a local MS/possible MS database, and a total of 665 complete sets of cases and controls were included in the final analysis (see Supplementary Figure 1). All samples from MS patients were collected 8 years prior to symptom onset (in median) and all participants were below 40 years of age at the time of sampling. The absolute mean difference between cases and controls was 6 days for the date of sampling and 152 days for the age at sampling.

Laboratory analysis

The concentration of 25(OH)D₃ was analysed using liquid chromatography tandem mass spectrometry (LC-MS/MS) as described previously.⁷ Samples for matched cases and controls were analysed immediately after each other and in random order, and technicians were blinded to case–control status.

Statistical analysis

We modelled 25(OH)D₃ levels as quintiles, derived from the distribution among controls, separately for each biobank as the levels differed significantly between them (Kruskal–Wallis test P ≤ 0.001). These quintile assignments were used in a pooled analysis that included all individuals. The Mann–Whitney U-test was used to test differences between groups, odds ratios (ORs) and P for trend over quintiles were calculated using conditional logistic regression. Age was stratified into three groups based on the age at sample draw, less than 20, 20–29 and 30–39 years of age. If a case–control set was on different sides of an age cut-off they were assigned to either the youngest or oldest group containing either a case or control, in order to increase power in the smaller groups. IBM SPSS statistics version 23 (IBM Corporation, New York, NY, USA) was used for statistical analysis.

Ethical considerations

This study was approved by a local regional ethical review board in Umeå (2011-198-31M). No written informed consent was required for participation.

Results

Median 25(OH)D₃ did not differ between cases and controls (Table 1). Being in the top 25(OH)D₃ quintile was significantly associated with a decreased risk of MS in the total cohort (OR 0.68, 95% confidence interval (CI) 0.50–0.93) (Table 2). A sensitivity analysis excluding the PHAS biobank, which had higher levels compared to the others, yielded an OR of 0.69 (95% CI 0.49–0.97) when using the median cut-off for the remaining biobanks (72 nmol/L). Subgroup analyses in different age strata were not significant and we found no trend over 25(OH)D₃ quintiles.

Table 1.

Characteristics of cases and controls.

	n	Cases	n	Controls	P value
Sex (M/F)	665	16.2/83.8%	665	16.2/83.8%
Age at sampling, years	665	25 (21–29)	665	25 (21–29)
Age at disease onset, years	665	33 (28–40)	n.a.
Time from sampling until disease onset, years	665	8 (4–13)	n.a.
Biobank – latitude
Umeå – 63°N	102	15.3%	102	15.3%
Vitamin D3		47 (37–61)		53 (39–68)	0.07
Samples collected between, years		1976–2007		1976–2007
PHAS – n.a.	137	20.6%	137	20.6%
Vitamin D3		59 (43–75)		56 (39–77)	0.64
Samples collected between, years		1972–2001		1972–2001
Örebro – 59°N	29	4.3%	29	4.3%
Vitamin D3		52 (41–63)		50 (36–70)	0.96
Samples collected between, years		1994–2008		1994–2008
Göteborg – 57°N	47	7.1%	47	7.1%
Vitamin D3		56 (41–65)		55 (44–67)	0.97
Samples collected between, years		1995–2009		1995–2009
Skåne – 55°N	311	46.8%	311	46.8%
Vitamin D3		52 (41–68)		52 (40–70)	0.93
Samples collected between, years		1977–2007		1977–2007
Linköping – 58°N	39	5.9%	39	5.9%
Vitamin D3		43 (30–57)		51 (32–61)	0.33
Samples collected between, years		1993–2009		1993–2009
All subjects	665		665
Vitamin D3		53 (40–67)		53 (39–70)	0.50
Age group <20 years	142		142
Vitamin D3		49 (38–64)		51 (39–67)	0.47
Age group 20–29 years	374		374
Vitamin D3		53 (41–67)		53 (39–71)	0.73
Age group 30–39 years	149		149
Vitamin D3		55 (41–72)		56 (42–73)	0.83

PHAS: Public Health Agency of Sweden.

Median (25th–75th percentiles) for continuous variables and percentages for proportions.

Vitamin D concentrations expressed as nmol/L.

Table 2.

Associations of vitamin D₃ concentration and MS stratified by biobank and age.

	Vitamin D categories	Cut-off nmol/L	Number of (%)		OR	95% CI
	Vitamin D categories	Cut-off nmol/L	Cases	Controls	OR	95% CI
Biobank
Umeå	Quintile 1–4	38, 48, 59	90 (88.2)	81 (79.4)	ref
	Quintile 5	≥73	12 (11.8)	21 (20.6)	0.47	0.20–1.1
PHAS	Quintile 1–4	37, 50, 63	114 (83.2)	109 (79.6)	ref
	Quintile 5	≥82	23 (16.8)	28 (20.4)	0.75	0.38–1.5
Örebro	Quintile 1–4	35, 48, 60	26 (89.7)	23 (79.3)	ref
	Quintile 5	≥72	3 (10.3)	6 (20.7)	0.40	0.08–2.1
Göteborg	Quintile 1–4	41, 50, 59	41 (87.2)	37 (78.7)	ref
	Quintile 5	≥71	6 (12.8)	10 (21.3)	0.43	0.11–1.7
Skåne	Quintile 1–4	38, 47, 58	252 (81.0)	248 (79.7)	ref
	Quintile 5	≥73	59 (19.0)	63 (20.3)	0.90	0.58–1.4
Linköping	Quintile 1–4	27, 42, 55	37 (94.9)	31 (79.5)	ref
	Quintile 5	≥70	2 (5.1)	8 (20.5)	0.25	0.05–1.2
All	Quintile 1–4		560 (84.2)	529 (79.5)	ref
	Quintile 5		105 (15.8)	136 (20.5)	0.68	0.50–0.93
All^a	Quintile 1		134 (20.1)	133 (20.0)	ref
	Quintile 2		142 (21.4)	133 (20.0)	1.1	0.77–1.5
	Quintile 3		131 (19.7)	130 (19.5)	0.99	0.71–1.4
	Quintile 4		153 (23.0)	133 (20.0)	1.1	0.78–1.6
	Quintile 5		105 (15.8)	136 (20.5)	0.72	0.49–1.1
Age group
<20	Quintile 1–4		126 (88.7)	118 (83.1)	ref
	Quintile 5		16 (11.3)	24 (16.9)	0.60	0.29–1.2
20–29	Quintile 1–4		313 (83.7)	297 (79.4)	ref
	Quintile 5		61 (16.3)	77 (20.6)	0.70	0.46–1.1
30–39	Quintile 1–4		121 (81.2)	114 (76.5)	ref
	Quintile 5		28 (18.8)	35 (23.5)	0.72	0.39–1.3

MS: multiple sclerosis; OR: odds ratio; CI: confidence interval; PHAS: Public Health Agency of Sweden.

^aIn the total cohort, P for trend over quintiles was 0.24.

Discussion

Although cases and controls did not significantly differ in median levels of 25(OH)D and there was no significant trend over quintiles, we did find a decreased MS risk among individuals with concentrations in the top quintile. These findings suggest that there may exist a threshold located within the higher range of 25(OH)D levels (cut-off 70–82 nmol/L in the six biobanks) above which the effect of 25(OH)D modulates MS risk. This is in line with the findings of one earlier study using 75 nmol/L as a cut-off.² Data from the currently largest pre-symptomatic study, performed in a Finnish maternity cohort,³ seem to indicate that seasonally corrected levels above 50 nmol/L are protective when compared to less than 30 nmol/L. In that study, 6% of cases and 7.5% of controls were above 50 nmol/L, compared to 54.6% and 56.1% in our study. Although we found higher vitamin D levels, they are in line with previously published population-based studies in our region.⁸ Differences in methodology, including 25(OH)D assay and the use of seasonal correction of multiple samples from each individual in the Finnish study, may explain some of the differences in absolute 25(OH)D and a direct comparison between the studies may therefore be inappropriate.⁹

A strength of our study is the relatively large number of individuals below 20 years of age, enabling comparisons of different age strata. These analyses did not yield any significant findings, however, but the effect sizes converge with earlier studies.^1,2 Furthermore, this is to our knowledge the first study applying the gold standard method LC-MS/MS.

The main limitation in our study is that the samples came from six unique biobanks, with different pre-analytical procedures and geographically distinct catchment areas, both of which may influence the results as well as provide a geographical explanation of why serum concentrations of vitamin D differed between biobanks. To minimise this, we matched cases and controls from the same biobank and defined quintiles separately for each biobank. Pooling of site-specific quintiles has been used previously¹⁰ and enabled analysis of the total cohort by applying a similar relative cut-off (i.e. top quintile), despite the biobanks representing a heterogenous material. Also, we did not have access to data on race/ethnicity and the results may therefore not be generalisable to other populations. In addition, the retrospective compilation of data may have implicated other biases affecting the results that we have not considered.

In conclusion, our results further support the hypothesis that relatively higher 25(OH)D concentrations may protect against the development of MS but not that the effect is stronger among young individuals.

Supplemental Material

MSO892291 Supplemental Material - Supplemental material for High serum concentration of vitamin D may protect against multiple sclerosis

Supplemental material, MSO892291 Supplemental Material for High serum concentration of vitamin D may protect against multiple sclerosis by Martin Biström Lucia Alonso-Magdalena Oluf Andersen, Daniel Jons, Martin Gunnarsson Magnus Vrethem Johan Hultdin Peter Sundström in Multiple Sclerosis Journal – Experimental, Translational and Clinical

Footnotes

Acknowledgements

The authors would like to thank Staffan Lundstedt for performing the biochemical analysis.

Declaration of conflicting interests

The author(s) declared the following potential conflicts of interest with respect to the research, authorship and/or publication of this article: MB, OA, DJ, MG, JH and PS report no conflict of interest. LAM has received speaking fees from Merck-Serono and served on advisory boards for Merck-Serono and Biogen. MV has received honoraria for lectures from Genzyme and for advisory boards from Roche and Novartis.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: this work was supported by the Swedish Research Council (2015-02419) and through a regional agreement between Umeå University and Västerbotten County Council (ALF) (RV-751881).

ORCID iDs

Martin Biström https://orcid.org/0000-0003-3994-2305 Johan Hultdin https://orcid.org/0000-0002-9599-0961 Peter Sundström

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