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Vitamin D and inflammatory markers: cross-sectional analyses using data from the English Longitudinal Study of Ageing (ELSA)

Published online by Cambridge University Press:  12 January 2017

Cesar de Oliveira*
Affiliation:
Department of Epidemiology & Public Health, English Longitudinal Study of Ageing, University College London, London, UK
Jane P. Biddulph
Affiliation:
Department of Epidemiology & Public Health, English Longitudinal Study of Ageing, University College London, London, UK
Vasant Hirani
Affiliation:
Centre for Education and Research on Ageing, School of Public Health, ARC Centre of Excellence in Population Ageing Research, University of Sydney, Sydney, New South Wales, Australia
Ione Jayce Ceola Schneider
Affiliation:
Universidade Federal de Santa Catarina, Campus Araranguá, Santa Catarina, Brazil Department of Epidemiology & Public Health, University College London, London, UK
*
*Corresponding author: C. de Oliveira, fax +44 207 813 0242, email c.oliveira@ucl.ac.uk

Abstract

Recent evidence suggests that low vitamin D concentrations are associated with increased levels of inflammatory markers. However, there are limited studies investigating associations between vitamin D levels and inflammatory markers in the general population and much of this evidence in older adults is inconclusive. Therefore, this study investigates the cross-sectional association of serum 25-hydroxyvitamin D (25(OH)D) levels with inflammatory markers in 5870 older English adults from wave 6 (2012–2013) of the English Longitudinal Study of Ageing (ELSA). ELSA is a large prospective observational study of community-dwelling people aged 50 years and over in England. Serum 25(OH)D levels, C-reactive protein (CRP) levels, plasma fibrinogen levels, white blood cell count (WBC), age, season of blood collection, waist circumference, total non-pension household wealth, measures of health and health behaviours that included depression, number of cardiovascular, non-cardiovascular conditions and difficulties in activities of daily living, smoking, and physical activity were measured. There was a significant negative association between low 25(OH)D levels (≤30 nmol/l) and CRP (OR 1·23, 95 % CI 1·00, 1·51) and WBC (OR 1·35, 95 % CI 1·13, 1·60) that remained after adjustment for a wide range of covariates of clinical significance. However, for fibrinogen, the association did not remain significant when waist circumference was entered in the final model. Our findings showed that 25(OH)D levels were associated with two out the three inflammatory markers investigated. The independent and inverse association between serum 25(OH)D levels and inflammation suggests a potential anti-inflammatory role for vitamin D in older English individuals from the general population.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2017

Low vitamin D status is an increasingly important public health issue worldwide, in all population groups, although more common in older adults( Reference Mithal, Wahl and Bonjour 1 ). The serum concentrations of 25-hydroxyvitamin D (25(OH)D), the major storage and circulating form of vitamin D, rise and fall with the supply of vitamin D3 (cholecalciferol) and vitamin D2 (ergocalciferol). Vitamin D3 is metabolised to 25(OH)D3 in the liver by vitamin D 25-hydroxylase and then further hydroxylated by the key enzyme 25-hydroxylvitamin D3-1α-hydroxylase (CYP27B1) to the biologically active form: 1,25(OH)D or calcitriol in the kidney and in many different tissues throughout the body( Reference Hewison, Burke and Evans 2 ). Older adults are at increased risk of poor vitamin D status due to the lack of sun exposure and to an age-related decline in the efficiency of vitamin D synthesis and metabolism( Reference Holick 3 ).

The importance of vitamin D in the absorption and metabolism of Ca for bone health is well known( Reference Hewison, Burke and Evans 2 ). Further studies have demonstrated that low 25(OH)D concentrations may promote the pathogenesis of type 1 diabetes( Reference Holick 3 ), rheumatoid arthritis( Reference Hypponen, Laara and Reunanen 4 ), multiple sclerosis( Reference Merlino, Curtis and Mikuls 5 ), cancer( Reference Munger, Levin and Hollis 6 ), sarcopenia( Reference Rondanelli, Klersy and Terracol 7 ) and other diseases. Other actions of vitamin D include its impact on innate and adaptive immunity( Reference Lappe, Travers-Gustafson and Davies 8 ). High concentrations of inflammatory biomarkers, such as plasma fibrinogen, white blood cell count (WBC) or C-reactive protein (CRP), have been associated with chronic inflammatory diseases, such as cardiometabolic disease risk( Reference Hewison 9 ). Some studies have demonstrated that high 25(OH)D concentrations may protect against CVD( Reference Chu, Alagiakrishnan and Sadowski 10 Reference Elamin, Abu Elnour and Elamin 12 ).

It is now well recognised that CYP27B1 and the vitamin D receptor are expressed in cells involved in the inflammation/immune system in the human body( Reference Mithal, Wahl and Bonjour 1 Reference Holick 3 ). This provides biologically plausible reasons for why low vitamin D levels could play a role in the aetiology of inflammatory diseases such as cardiometabolic diseases but the majority showing a link are based on small samples or on specific patient groups( Reference Brennan, Katz and Nunn 14 , Reference Haque, Bathon and Giles 15 ).

There are limited studies investigating the associations between 25(OH)D serum levels and inflammatory markers in the general population( Reference Jorgensen, Agnholt and Glerup 16 Reference Ngo, Sverdlov and McNeil 18 ) and much of the evidence in older adults is inconclusive. Therefore, the aim of this cross-sectional analysis was to investigate the associations between the 25(OH)D concentrations and three markers of inflammation (CRP, fibrinogen and WBC) using data from the English Longitudinal Study of Ageing (ELSA). ELSA was designed to be nationally representative of community-dwelling adults aged 50 years and over in the general population of England, UK.

Methods

Study population

ELSA is an ongoing prospective observational study of community-dwelling people aged 50 years and over in England that commenced in 2002. The ELSA sample was drawn from participants who had previously participated in the Health Survey for England; an annual health examination survey, which each year recruits a different nationally representative sample using a multi-staged stratified random probability design( Reference Mindell, Biddulph and Hirani 19 ). After baseline, follow-up interviews within ELSA occur every 2 years and health examinations, i.e. a nurse visit, every 4 years. The first health examination was in 2004–2005. A detailed description of the study can be found elsewhere( Reference Steptoe, Breeze and Banks 20 ). Analyses for this study used cross-sectional data from wave 6 (2012–2013) as this was the first time that 25(OH)D concentrations were ascertained in ELSA. From wave 6, 5870 participants had 25(OH)D data.

Assessment of 25-hydroxyvitamin D

Wave 6 had 10 601 respondents that also included non-core members, such as partners. Only the 9169 core sample members eligible for a nurse visit at which blood samples could be taken were included. Of those, 7730 had a nurse visit. Blood samples were obtained from 6206 participants, and 25(OH)D concentrations were ascertained in 5870. Blood samples were not taken from those who had a clotting or bleeding disorder (e.g. haemophilia or low platelets), had ever had a fit, were currently on anticoagulant drugs (e.g. warfarin therapy) or did not give their consent in writing. The analyses of blood samples were carried out at the Royal Victoria Infirmary (Newcastle upon Tyne, UK). Serum 25(OH)D levels were measured by the Diasorin Liaison immunoassay that detects both 25(OH)D2 and 25(OH)D3 and therefore provides the total circulating 25(OH)D level, as previously described( Reference Anonymous 21 ). The assay for 25(OH)D has an analytical sensitivity (lower detection limit) of 7·5 nmol/l. The detection limit represents the lowest measurable analyte level that can be distinguished from zero. All assays were performed in duplicate. The CV ranged from 8·7 to 9·4 %. The laboratory performing the 25(OH)D analyses took part in the Internal and the Vitamin D External Quality Assessment Schemes (DEQAS).

Inflammatory markers

Three inflammatory markers were measured at wave 6 (2012–2013): CRP, plasma fibrinogen and WBC. Further details of the blood sample analyses, the internal quality control, and the external quality assessment of the laboratory can be obtained from the 2004 Health Survey for England technical report( Reference Graig, Deverill, Pickering, Spronston and Mindell 22 ) since both the Health Survey for England and ELSA employed the same laboratory and the same guidelines and protocols for the blood analyses.

Covariates

Total non-pension household wealth included financial wealth (savings and investments), the value of any home and other property (less mortgage), the value of any business assets and physical wealth such as artwork and jewellery, net of debt. Wealth is the most robust indicator of socio-economic circumstances in ELSA, and has been found to be more strongly associated with the risk of death than any other socio-economic position indicator at older ages( Reference Demakakos, Biddulph and Bobak 23 ). The number of co-morbidities, i.e. CVD and other chronic conditions, was assessed by self-reported doctor-diagnosed chronic diseases that included diabetes, cancer, stroke, arthritis, lung disease, and Parkinson's and for CVD included high blood pressure, angina, heart attack, heart failure, heart murmur or heart rhythm. Smoking status was classified into non-smokers, former smokers or current smokers. Self-reported physical activity included questions about the frequency of participation in vigorous, moderate, mild and sedentary physical activities: more than once per week, once per week, one to three times per month, hardly ever. Depressive symptoms were measured by the shortened version of the Center for Epidemiological Studies-Depression (CES-D) scale( Reference Radloff 24 , Reference Steffick 25 ). A dichotomous variable for depression was derived using the validated cut point of four or more depressive symptoms to classify depression( Reference Steffick 25 ). Physical functioning was measured using self-reported limitations in the following six basic activities of daily living: dressing, walking across a room, bathing or showering, eating, getting in or out of bed, using the toilet. A physical functioning limitation was defined as having a limitation in one or more activities. Waist circumference was categorised into three main groups using sex-specific cut-offs: low (<94 cm for men and <80 cm for women), medium (≥94 cm and <102 cm for men; ≥80 cm and <88 cm for women) and high (≥102 cm for men and ≥88 cm for women).

Statistical analyses

Logistic regression was used to investigate the unadjusted and adjusted association between 25(OH)D levels with each of the three inflammatory markers. Normal levels for fibrinogen (≤3·8 g/l)( Reference Linear Chemicals 26 ) and CRP (<3 mg/l)( Reference Pearson, Mensah and Alexander 27 ) and below the median for WBC (6·3 × 109 cells/l) were used as reference categories. 25(OH)D levels, the independent variable, was categorised into quartiles: the lowest quartile (≤30 nmol/l), second quartile (30·01 until 46·00 nmol/l), third quartile (46·01 until 64·00 nmol/l) and the highest quartile (>64·01 nmol/l; reference category). Following the unadjusted model (model 1), a further four models (models 2 to 5) were derived to investigate the association between 25(OH)D with each outcome variable (fibrinogen, CRP and WBC) and adjusted for potential confounders. Each subsequent model included the variables that were included in the previous model. Model 2 adjusted for demographic and socio-economic factors (age, sex and wealth) and the season of the blood sampling. Model 3 further adjusted for health behaviours; smoking and physical activity, model 4 adjusted model 3 further for health; depression, number of cardiovascular conditions, number of non-cardiovascular chronic conditions and difficulties in activities of daily living, and in the final model 5, model 4 was further adjusted for waist circumference. The analyses were performed using STATA 13.0 (StataCorp LP).

Ethics approval and informed consent

All participants gave written informed consent. The National Research Ethics Service (London Multicentre Research Ethics Committee (MREC/01/2/91) has approved the ELSA.

Results

Of the 9169 core participants of wave 6, 25(OH)D levels in 5870 participants were ascertained. Those for whom 25(OH)D data were available (n 5870) compared with those for whom data were not available (n 3299) were younger; mean age of 66·9 v. 69·4 years, with a lower proportion of females; 55·0 % v. 56·6 %, and were wealthier; 14·9 % in the lowest quintile of wealth v. 21·1 %. Table 1 summarises the characteristics of the sample for which 25(OH)D levels were ascertained. Of the blood samples, 42 % were taken in autumn. Of the subjects, 12 % reported depressive symptoms, and 61 and 56 % reported cardiovascular and non-cardiovascular chronic conditions, respectively. The majority (85 %) did not report difficulties in performing activities of daily living. 25(OH)D levels ranged between 9 and 239 nmol/l and the mean was 48·70 (sd 23·57) nmol/l. CRP levels ranged from 0·10 to 9·80 mg/l, the mean was 2·13 (sd 1·93) mg/l and 23·5 % of the sample had high levels. Plasma fibrinogen levels ranged from 1·20 to 6·30 g/l, the mean was 2·97 (sd 0·54) g/l and 8·0 % of the respondents had levels higher than the normal. WBC ranged from 1·22 to 32·32 (×109 cells/l), the mean was 6·51 (sd 1·96) ×109 cells/l and the median 6·30 ×109 cells/l.

Table 1. Characteristics of the analytical sample of men and women aged 50 years and older from the English Longitudinal Study of Ageing (2012–2013) and who had a measure of serum 25-hydroxyvitamin D

(Numbers of subjects and percentages)

In the unadjusted analyses, all three inflammatory markers were associated with 25(OH)D, with low levels of 25(OH)D being associated with higher levels of CRP, fibrinogen and WBC (Table 2). Both the lowest and the second-lowest quartiles of 25(OH)D were significantly associated with higher levels of CRP in the unadjusted analysis (OR 1·69, 95 % CI 1·41, 2·02, P < 0·001; OR 1·34, 95 % CI 1·12, 1·61, P = 0·002; Table 2, model 1). This association remained statistically significant only for those in the lowest quartile even after the adjustment for all covariates included in the models but with attenuation in the OR from model 2 to model 5 (Table 2). For WBC, respondents in the lowest (OR 1·73, 95 % CI 1·49, 2·01, P<0·001) and second-lowest (OR 1·26, 95 % CI 1·09, 1·47, P = 0·002) quartiles of 25(OH)D had a greater likelihood of having higher levels of white blood cells than those in the highest quartile (Table 2, model 1). This association remained statistically significant even after adjustment for all covariates included in the models but with a decline in OR from model 2 to model 5 (Table 2). Regarding fibrinogen, only the lowest quartile of 25(OH)D was significantly associated with higher levels of fibrinogen in the unadjusted analysis (OR 1·80, 95 % CI 1·38, 2·35, P < 0·001; Table 2, model 1). This association remained statistically significant only for those in the lowest quartile but with a decline in OR from model 2 to model 4. However, this association did not remain significant with adjustment by waist circumference (model 5, Table 2), albeit that the effect estimate was of similar magnitude to the final model with an outcome of CRP.

Table 2. Unadjusted and multivariable logistic regression investigating the association between 25-hydroxyvitamin D (25(OH)D) concentrations with inflammatory markers†

(Odds ratios and 95 % confidence intervals)

* P < 0.001.

† Model 1: 25(OH)D (unadjusted). Model 2: model 1 + adjusted for sex, age group, wealth, and season. Model 3: model 2 + adjusted for smoking, and physical exercise. Model 4: model 3 + adjusted for depression, number of cardiovascular conditions, number of non-cardiovascular conditions, and difficulties in activities of daily living. Model 5: model 4 + adjusted for waist circumference.

Discussion

In this large, nationally representative, sample of adults aged 50 years and over, we have demonstrated that older English adults from the general population who have low serum levels of 25(OH)D have increased inflammatory biomarker profiles, including increased CRP, plasma fibrinogen and WBC. This study observed significant negative associations between 25(OH)D and the inflammatory markers CRP and WBC. For fibrinogen, the association did not remain significant in the fully adjusted model when waist circumference was included in the final model. Our findings suggest that insufficient 25(OH)D levels may have the potential to affect the inflammatory response, particularly within the older adult population.

Little research has investigated associations between low 25(OH)D levels and inflammatory markers in the general population, especially in apparently healthy older adults. Most of the previous studies have been conducted in young adults with chronic inflammatory conditions, and controversy remains about the optimal serum 25(OH)D levels for health in older age. In addition, the results from studies investigating the associations between 25(OH)D concentrations with CRP or fibrinogen concentrations are conflicting and studies on the association between 25(OH)D concentrations and WBC are rare( Reference Mellenthin, Wallaschofski and Grotevendt 28 ). Nevertheless, we cannot ignore that low 25(OH)D levels could represent a marker of ill health resulting from inflammatory processes, a hypothesis that has been raised from a very recent systematic review documenting a discrepancy between the existing observational and intervention studies on the role of 25(OH)D concentrations in non-skeletal health outcomes( Reference Autier, Boniol and Pizot 29 ).

In the present study, CRP levels showed significant negative associations with 25(OH)D levels. Limited data from observational studies( Reference Ngo, Sverdlov and McNeil 18 , Reference Amer and Qayyum 30 Reference Waterhouse, Tran and Ebeling 35 ) lend support to a primary anti-inflammatory role of vitamin D. In a very recent observational investigation conducted in 957 older Irish adults (>60 years of age), Laird et al.( Reference Laird, McNulty and Ward 32 ) showed a significant association between low vitamin D status (25(OH)D < 25 nmol/l) and markers of inflammation including IL-6, TNF-α, IL-10, CRP and the ratio of IL-6 to IL-10. Yet, not all epidemiological studies reported linear inverse associations between the measures. Shea et al.( Reference Shea, Booth and Massaro 34 ) studied the relationship of vitamin D with several inflammatory markers cross-sectionally in 1381 subjects from the Framingham Offspring Study cohort and did not find a significant association for most of the markers, including CRP. Another, smaller study by Michos et al.( Reference Michos, Streeten and Ryan 17 ) did also not find a significant association between vitamin D and CRP.

Evidence from an interventional study investigating the effect of vitamin D supplementation on selected inflammatory biomarkers in older adults using secondary data from a randomised, placebo-controlled trial found little evidence of an effect of vitamin D supplementation on cytokine or adipokine levels, with the possible exception of IL-6( Reference Waterhouse, Tran and Ebeling 35 ). A recent study( Reference Liefaard, Ligthart and Vitezova 36 ), investigating the association between serum 25(OH)D and CRP and a potential causal effect by using genetic variants in bi-directional Mendelian randomisation analysis, in the Rotterdam Study, a prospective population-based cohort, showed that serum vitamin D was inversely associated with CRP. However, the results from the Mendelian randomisation analyses did not provide evidence for a causal association.

A possible reason for the lack of correlation between 25(OH)D and CRP in some studies was that they contained younger participants that may have diluted the effect estimate while older participants were not investigated separately. Indeed, ageing itself is associated with low-grade chronic inflammation and elevated CRP and in light of the aforementioned associations with 25(OH)D status, a stronger effect of 25(OH)D may thus be more distinctly observed in the elderly compared with younger individuals in whom CRP levels are expectedly lower( Reference Kruit and Zanen 37 ).

Our findings showed that fibrinogen did not maintain its negative association with 25(OH)D levels when waist circumference was included in the final model. Similarly, a large study that included 6538 individuals from the 1958 British Birth Cohort( Reference Hypponen, Berry and Cortina-Borja 38 ) found an inverse association between 25(OH)D and fibrinogen in analyses adjusted for sex and month of blood draw. Yet, these associations vanished after additional adjustment for obesity, lifestyle and social characteristics. As with CRP, previous studies revealed conflicting results regarding the association between 25(OH)D and fibrinogen( Reference Cannell, Grant and Holick 39 , Reference Bjorkman, Sorva and Tilvis 40 ). The conflicting results are probably due to differences in study design and the selection of specific patient groups. In contrast to the studies that reported no association between the measures, several studies reported an inverse relationship between 25(OH)D and fibrinogen concentrations( Reference Mellenthin, Wallaschofski and Grotevendt 28 ).

Studies investigating the relationship between 25(OH)D and WBC are sparse. WBC in the present analyses showed a significant inverse association with 25(OH)D. Similarly, one recent study( Reference Mellenthin, Wallaschofski and Grotevendt 28 ) examining the associations of 25(OH)D with high-sensitivity CRP, fibrinogen and WBC in 2723 men and women aged 25 to 88 years from the first follow-up of the Study of Health in Pomerania also confirmed a potential role of 25(OH)D in chronic inflammation. The authors observed beneficial effects of increasing 25(OH)D for fibrinogen and WBC (in smokers only). On the other hand, a study assessing the relationship between 25(OH)D and WBC in a large hospital population including 1557 adult subjects without chronic kidney disease and 340 adult patients with chronic kidney disease showed no association between the two measures, in adults with or without chronic kidney disease( Reference Yildirim, Hur and Kokturk 41 ).

Our study has several strengths and potential limitations that need to be considered. A major strength is the large and representative sample of community-dwelling English men and women aged 50 years and older. In addition, certified examiners following standardised protocols, assuring excellent quality of data, performed all examinations and laboratory measurements. Limitations arise from the cross-sectional study design, which investigates associations but cannot provide evidence of causality. However, ELSA is planning to measure levels of vitamin D again in its eighth wave (2016–2017) which will enable longitudinal analyses utilising these repeated measures. Our analyses are based on single-occasion biomarker measurements, which might not adequately represent the participants' inflammatory status. Additionally, we were unable to assess differences between vitamin D2 and vitamin D3, as the respective data were not available in ELSA. The status on treatment with anti-inflammatory drugs was not documented in our study group. However, even without taking this into account, in our cohort we show an inverse correlation between CRP and 25(OH)D in different groups that is consistent and in agreement with other reports, which similarly also did not correct for this variable. Finally, it was not possible to explore the effect of ethnicity in our analysis, which might act as a confounder due to potentially different rates of inflammatory disease in different ethnic groups, since 98 % of ELSA participants are white English.

In summary, our study suggests a potential role of 25(OH)D in chronic inflammation. Our findings, therefore, contribute significantly to the body of evidence supporting a role for vitamin D in inflammatory conditions. Controversy exists as to whether vitamin D lowers inflammation or whether inflammation lowers 25(OH)D concentrations. Whether our findings have any clinical meaning needs to be further evaluated in randomised controlled clinical trials, especially the potential effects of vitamin D supplementation.

Acknowledgements

We thank all of the staff working on ELSA and the participants in the project.

ELSA is supported by the National Institute on Aging (National Institutes of Health) USA (grant no. 5 R01 AG017644-16) and a consortium of the UK government departments coordinated by the Office for National Statistics. These funding bodies had no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.

C. de O., J. P. B., and V. H. conceived the study. C. de O. and V. H. drafted the first manuscript, and I. J. C. S. performed the statistical analyses. C. de O., J. P. B., V. H. and I. J. C. S. substantially contributed to the design of the study, and analyses and interpretation of these data, approved its final version, and critically revised the manuscript for important intellectual content.

There are no conflicts of interest.

References

1. Mithal, A, Wahl, DA, Bonjour, JP, et al. (2009) Global vitamin D status and determinants of hypovitaminosis D. Osteoporos Int 20, 18071820.Google Scholar
2. Hewison, M, Burke, F, Evans, KN, et al. (2007) Extra-renal 25-hydroxyvitamin D3-1α-hydroxylase in human health and disease. J Steroid Biochem Mol Biol 103, 316321.CrossRefGoogle ScholarPubMed
3. Holick, MF (2007) Vitamin D deficiency. N Engl J Med 357, 266281.Google Scholar
4. Hypponen, E, Laara, E, Reunanen, A, et al. (2001) Intake of vitamin D and risk of type 1 diabetes: a birth-cohort study. Lancet 358, 15001503.Google Scholar
5. Merlino, LA, Curtis, J, Mikuls, TR, et al. (2004) Vitamin D intake is inversely associated with rheumatoid arthritis – results from the Iowa Women's Health Study. Arthritis Rheum 50, 7277.Google Scholar
6. Munger, KL, Levin, LI, Hollis, BW, et al. (2006) Serum 25-hydroxyvitamin D levels and risk of multiple sclerosis. JAMA 296, 28322838.Google Scholar
7. Rondanelli, M, Klersy, C, Terracol, G, et al. (2016) Whey protein, amino acids, and vitamin D supplementation with physical activity increases fat-free mass and strength, functionality, and quality of life and decreases inflammation in sarcopenic elderly. Am J Clin Nutr 103, 830840.Google Scholar
8. Lappe, JM, Travers-Gustafson, D, Davies, KM, et al. (2007) Vitamin D and calcium supplementation reduces cancer risk: results of a randomized trial. Am J Clin Nutr 85, 15861591.Google Scholar
9. Hewison, M (2012) Vitamin D and the immune system: new perspectives on an old theme. Rheumc Dis Clin North Am 38, 125139.Google Scholar
10. Chu, MP, Alagiakrishnan, K & Sadowski, C (2010) The cure of ageing: vitamin D – magic or myth? Postgrad Med J 86, 608616.Google Scholar
11. Lowe, GD (2001) The relationship between infection, inflammation, and cardiovascular disease: an overview. Ann Periodontol 6, 18.Google Scholar
12. Elamin, MB, Abu Elnour, NO, Elamin, KB, et al. (2011) Vitamin D and cardiovascular outcomes: a systematic review and meta-analysis. J Clin Endocrinol Metab 96, 19311942.Google Scholar
13. Nagy, L, Szanto, A, Szatmari, I, et al. (2012) Nuclear hormone receptors enable macrophages and dendritic cells to sense their lipid environment and shape their immune response. Physiol Rev 92, 739789.CrossRefGoogle ScholarPubMed
14. Brennan, A, Katz, DR, Nunn, JD, et al. (1987) Dendritic cells from human tissues express receptors for the immunoregulatory vitamin D3 metabolite, dihydroxycholecalciferol. Immunology 61, 457461.Google Scholar
15. Haque, UJ, Bathon, JM & Giles, JT (2012) Association of vitamin D with cardiometabolic risk factors in rheumatoid arthritis. Arthritis Care Res (Hoboken) 64, 14971504.Google Scholar
16. Jorgensen, SP, Agnholt, J, Glerup, H, et al. (2010) Clinical trial: vitamin D3 treatment in Crohn's disease – a randomized double-blind placebo-controlled study. Aliment Pharmacol Ther 32, 377383.CrossRefGoogle ScholarPubMed
17. Michos, ED, Streeten, EA, Ryan, KA, et al. (2009) Serum 25-hydroxyvitamin D levels are not associated with subclinical vascular disease or C-reactive protein in the old order Amish. Calcif Tissue Int 84, 195202.Google Scholar
18. Ngo, DT, Sverdlov, AL, McNeil, J, et al. (2010) Does vitamin D modulate asymmetric dimethylarginine and C-reactive protein concentrations? Am J Med 123, 335341.CrossRefGoogle ScholarPubMed
19. Mindell, J, Biddulph, JP, Hirani, V, et al. (2012) Cohort profile: the Health Survey for England. Int J Epidemiol 41, 15851593.CrossRefGoogle ScholarPubMed
20. Steptoe, A, Breeze, E, Banks, J, et al. (2013) Cohort profile: the English Longitudinal Study of Ageing. Int J Epidemiol 42, 16401648.Google Scholar
21. Anonymous, (2011) Vitamin D total (25-hydroxyvitamin D) pack insert. Roche Diagnostics. 2011-02 V1.Google Scholar
22. Graig, R, Deverill, C & Pickering, K (2006) Quality control of blood, saliva and urine analytes. In Health Survey for England 2004, Methodology and Documentation, vol. 2, pp. 3441 [Spronston, K and Mindell, J, editors]. London: The Information Centre.Google Scholar
23. Demakakos, P, Biddulph, JP, Bobak, M, et al. (2015) Wealth and mortality at older ages: a prospective cohort study. J Epidemiol Community Health 70, 346353.Google Scholar
24. Radloff, LS (1977) The CES-D scale: a self-report depression scale for research in the general population. Appl Psych Meas 1, 385401.Google Scholar
25. Steffick, DE (2000) Documentation of Affective Functioning Measures in the Health and Retirement Study. DR-005. Ann Arbor, MI: HRS Health Working Group.Google Scholar
26. Linear Chemicals, S.L. (2016) Fibrinogen Clauss Method. http://www.linear.es/ficheros/archivos/764_3510301Fibrinogen(35021)ing.pdf (accessed April 2016).Google Scholar
27. Pearson, TA, Mensah, GA, Alexander, RW, et al. (2003) Markers of inflammation and cardiovascular disease; application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation 107, 499511.Google Scholar
28. Mellenthin, L, Wallaschofski, H, Grotevendt, A, et al. (2014) Association between serum vitamin D concentrations and inflammatory markers in the general adult population. Metab Clin Exp 63, 10561062.Google Scholar
29. Autier, P, Boniol, M, Pizot, C, et al. (2014) Vitamin D status and ill health: a systematic review. Lancet Diabetes Endocrinol 2, 7689.Google Scholar
30. Amer, M & Qayyum, R (2012) Relation between serum 25-hydroxyvitamin D and C-reactive protein in asymptomatic adults (from the continuous National Health and Nutrition Examination Survey 2001 to 2006). Am J Cardiol 109, 226230.Google Scholar
31. Reyman, M, Verrijn Stuart, AA, van Summeren, M, et al. (2013) Vitamin D deficiency in childhood obesity is associated with high levels of circulating inflammatory mediators, and low insulin sensitivity. Int J Obes 38, 4652.Google Scholar
32. Laird, E, McNulty, H, Ward, M, et al. (2014) Vitamin D deficiency is associated with inflammation in older Irish adults. J Clin Endocrinol Metab 99, 18071815.Google Scholar
33. Peterson, CA & Heffernan, ME (2008) Serum tumor necrosis factor-α concentrations are negatively correlated with serum 25(OH)D concentrations in healthy women. J Inflamm (Lond) 5, 10.Google Scholar
34. Shea, MK, Booth, SL, Massaro, JM, et al. (2008) Vitamin K and vitamin D status: associations with inflammatory markers in the Framingham Offspring Study. Am J Epidemiol 167, 313320.Google Scholar
35. Waterhouse, M, Tran, B, Ebeling, PR, et al. (2015) Effect of vitamin D supplementation on selected inflammatory biomarkers in older adults: a secondary analysis of data from a randomised, placebo-controlled trial. Br J Nutr 114, 693699.CrossRefGoogle ScholarPubMed
36. Liefaard, MC, Ligthart, S, Vitezova, A, et al. (2015) Vitamin D and C-reactive protein: a Mendelian randomization study. PLOS ONE 10, e0131740.Google Scholar
37. Kruit, A & Zanen, P (2016) The association between vitamin D and C-reactive protein levels in patients with inflammatory and non-inflammatory diseases. Clin Biochem 49, 534537.Google Scholar
38. Hypponen, E, Berry, D, Cortina-Borja, M, et al. (2010) 25-Hydroxyvitamin D and pre-clinical alterations in inflammatory and hemostatic markers: a cross sectional analysis in the 1958 British Birth Cohort. PLoS ONE 5, e10801.Google Scholar
39. Cannell, JJ, Grant, WB & Holick, MF (2014) Vitamin D and inflammation. Dermatoendocrinol 6, e983401.Google Scholar
40. Bjorkman, MP, Sorva, AJ & Tilvis, RS (2009) C-reactive protein and fibrinogen of bedridden older patients in a six-month vitamin D supplementation trial. J Nutr Health Aging 13, 435439.CrossRefGoogle Scholar
41. Yildirim, I, Hur, E & Kokturk, F (2013) Inflammatory markers: C-reactive protein, erythrocyte sedimentation rate, and leukocyte count in vitamin D deficient patients with and without chronic kidney disease. Int J Endocrinol 2013, 802165.Google Scholar
Figure 0

Table 1. Characteristics of the analytical sample of men and women aged 50 years and older from the English Longitudinal Study of Ageing (2012–2013) and who had a measure of serum 25-hydroxyvitamin D(Numbers of subjects and percentages)

Figure 1

Table 2. Unadjusted and multivariable logistic regression investigating the association between 25-hydroxyvitamin D (25(OH)D) concentrations with inflammatory markers†(Odds ratios and 95 % confidence intervals)