| Literature DB >> 29194368 |
Christine L Taylor1, Christopher T Sempos2, Cindy D Davis3, Patsy M Brannon4.
Abstract
The science surrounding vitamin D presents both challenges and opportunities. Although many uncertainties are associated with the understandings concerning vitamin D, including its physiological function, the effects of excessive intake, and its role in health, it is at the same time a major interest in the research and health communities. The approach to evaluating and interpreting the available evidence about vitamin D should be founded on the quality of the data and on the conclusions that take into account the totality of the evidence. In addition, these activities can be used to identify critical data gaps and to help structure future research. The Office of Dietary Supplements (ODS) at the National Institutes of Health has as part of its mission the goal of supporting research and dialogues for topics with uncertain data, including vitamin D. This review considers vitamin D in the context of systematically addressing the uncertainty and in identifying research needs through the filter of the work of ODS. The focus includes the role of systematic reviews, activities that encompass considerations of the totality of the evidence, and collaborative activities to clarify unknowns or to fix methodological problems, as well as a case study using the relationship between cancer and vitamin D.Entities:
Keywords: assay standardization; cancer; data evaluation; dietary reference values; vitamin D; vitamin D standardization program
Mesh:
Substances:
Year: 2017 PMID: 29194368 PMCID: PMC5748758 DOI: 10.3390/nu9121308
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Health/disease conditions suggested as linked to vitamin D 1.
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Cancer/neoplasms including breast, colorectal, prostate Cardiovascular diseases and hypertension Type 2 diabetes Metabolic syndrome (obesity) Falls and physical performance Immune responses including asthma, autoimmune (eczema, type 1 diabetes, inflammatory bowel and Crohn’s disease, multiple sclerosis, rheumatoid arthritis, systemic lupus erythematosus), and mortality due to infectious diseases including tuberculosis and influenza/upper respiratory infections Neuropsychological functioning including autism, cognitive function, and depression Preeclampsia of pregnancy, preterm birth, low birth weight, and infant mortality Skeletal health |
1 Modified from IOM, 2011 [3], Table 4-1; reproduced with permission.
Notable evidence gaps for vitamin D.
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Many study protocols administer combination of vitamin D and calcium, reducing ability to determine effects of vitamin D independently Data are lacking to examine effects of graded doses to elucidate dose-response relationships Elucidation of mechanisms related to adequate calcium intake diminishing need for vitamin D for bone health Study protocols to address vitamin D as a prohormone with feedback loops related to health effects Additional studies to address effects and nature of sun exposure and ability to integrate sun exposure with intake Determination of the validity of serum 25(OH)D measures as biomarkers of effect Characterization of the variability surrounding measures of serum 25(OH)D concentrations due to different analytical methodologies used Clarification of non-linear relationship between serum 25(OH)D concentrations and increasing vitamin D exposure |
Abbreviations: 25(OH)D, 25-hydroxyvitamin D.
Evidence evaluation components 1: Dietary Reference Intake review for calcium and vitamin.
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Full review of all purported health outcomes Focus on risk reduction in generally healthy populations Consideration of totality of the evidence
Evidence maps as qualitative consideration Summary tables of data arrays Forest plots as appropriate |
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Strength of evidence to be based on analytic approach, target population, study design and overall quality
Consistency of effect Confounding factors Randomized controlled trials reflective of primary outcomes reflect strongest evidence and establish causality and therefore offer higher confidence Lower confidence in observational studies but these are taken into account as confirmatory and to ensure consistency of data. |
1 Based on discussions in IOM, 2011 [3].
Figure 1Illustration of data arrays to evaluate totality of the evidence. (A) Forest plot for colon cancer risk stratified by vitamin D concentration (from Chung et al., 2009 [8], Figure 9); (B) Evidence map for vitamin D and immune outcomes (modified and updated based on IOM, 2011 [3], Table E-5; reproduced with permission). Abbreviations: WCC = Washington County Cohort, Women’s Health Initiative; PHS = Public Health Centers; HFPS = Health Facilities Program Section; ATBC = α-Tocopherol, β-Carotene Cancer Prevention Study; NHS = National Health Survey.
Evidence for relationship between vitamin D exposure and fractures: Example of good-but-not-strong evidence 1.
| Outcome | Evidence |
|---|---|
| Dose-response for fractures | No data |
| Incidence total fractures: Vitamin D ± calcium vs. placebo | 14 RCTs: OR = 0.90 (0.80–1.20) |
| Incidence total fractures: Vitamin D + calcium vs. placebo | 8 non-RCTs: OR = 0.87 (0.76–1.00) |
| Incidence hip fractures: Vitamin D + calcium vs. placebo | 8 non-RCTs: OR = 0.87 (0.76–1.00) |
1 Compiled from data presented in Chung et al., 2009 [8]. Abbreviations: RCT, randomized controlled trial; OR, odds ratio.
Figure 2Conceptualization of integrated bone health outcomes and vitamin D exposure (from Institute of Medicine (IOM), 2011 [3], Figure 5-1; reproduced with permission).
Comparison of vitamin D reference values and reported approach: Institute of Medicine 1, Scientific Advisory Committee on Nutrition (United Kingdom) 2 and European Food Safety Authority 3.
| IOM | SACN | EFSA | |
|---|---|---|---|
| Serum-linked reference value 4 | EAR: 16 ng/mL | EAR (cannot establish) | AR (cannot establish) |
| Intake reference value 4 | EAR: 400 IU (10 µg) | RNI: 400 IU (10 µg) | AI: 600 IU (15 µg) |
| Selected Outcome | Skeletal health | Musculoskeletal health | Musculoskeletal health |
| Components of Selected Outcome | Integrated BMC/BMD, rickets, osteomalacia, calcium absorption, fractures | Rickets, osteomalacia, bone health indicators, fractures, falls, muscle health | Consideration of increased risk of adverse musculoskeletal outcomes |
| Other Health Outcomes Reviewed But Not Selected | Cancer, diabetes, CVD, falls, immune function, infectious disease, neuropsychological outcomes, pregnancy outcomes | Pregnancy/lactation outcomes, cancer, CVD, hypertension, all-cause mortality, immune modulation, neuropsychological outcomes, oral health, macular degeneration | Pregnancy outcomes, cancer, CVD, immune function, neuropsychological function |
| Rationale for Non-Selection | Contradictory, inconclusive, lack of causality | Weak, inconclusive | Inconclusive, weak or lacking causality |
1 IOM, 2011 [3]; 2 SACN, 2016 [15]; 3 EFSA, 2016 [16]; 4 Persons 1–70 years. Abbreviations: IOM, Institute of Medicine; SACN, Scientific Advisory Committee on Nutrition; EFSA, European Food Safety; EAR, Estimated Average Requirement; AR, Average Requirement; RDA, Recommended Dietary Allowance; RNI, Reference Nutrient Intake; PRI, Population Reference Intake; AI, Adequate Intake.
Examples of research gaps identified during development of Dietary Reference Intakes for vitamin D 1.
| Research Topic Area | Research Needs |
|---|---|
| Health outcomes and related conditions |
Clarify threshold effects of vitamin D on skeletal health outcomes by life stage and for different racial/ethnic groups. Elucidate inter-relationship between calcium and vitamin D, and specify independent effect(s) of each. Elucidate effect of genetic variation, including that among racial/ethnic groups, and epigenetic regulation of vitamin D on development outcomes. |
| Adverse effects, toxicity, and safety |
Develop innovative methodologies to identify and assess adverse effects of excess vitamin D. Elucidate adverse effects of long-term, high-dose vitamin D. Further explore nature of vitamin D toxicity. |
| Basic physiology and molecular pathways |
Examine the influence of calcium and phosphate on the regulation of vitamin D activation and catabolism through parathyroid hormone and fibroblast-like growth factor 23. Clarify 25(OH)D distribution in body pools including storage and mobilization from adipose tissue. Clarify extent to which differences exist between vitamin D2 and D3. |
| Synthesizing evidence and research methodology |
Explore enhanced methodologies for data synthesis. Identify approaches to better weight potential health outcomes. |
| Dose-response relationship |
Conduct studies to identify specific health outcomes in relation to graded and fully measured intakes of vitamin D and calcium. Clarify influence of age, body weight, and body composition on 25(OH)D levels in response to intake/exposure. |
| Sun exposure |
Investigate whether a minimal-risk ultraviolet B radiation exposure relative to skin cancer exists that also enables vitamin D production. Clarify how physiological factors such as skin pigmentation, genetics, age, body weight, and body composition influence vitamin D synthesis. Clarify how environmental factors such as sunscreen use affect vitamin D synthesis. |
| Intake assessment |
Enhance dietary assessment methods for vitamin D and calcium intake, and methods for measurement of in foods and supplements. Investigate food and supplement sources for bioequivalence, bioavailability, and safety. Improve standardization of assay for serum 25(OH)D. |
1 Based on discussions in IOM, 2011 [3].
Current Randomized-Controlled Trials with >10,000 Participants Investigating Vitamin D Supplementation and Cancer Listed in Clinical Trial Registries.
| Trial | Location | Sample Size | Treatment Duration (Year) | Vitamin D Intervention | Primary Endpoints | Trial Registry No. |
|---|---|---|---|---|---|---|
| The United States | 25,874 | 5 | 2000 IU/day | Cancer, Cardiovascular | NCT 01169259 | |
| D-Health [ | Australia | 21,315 | 5 | 60,000 IU/month | Total mortality, Cancer | ACTRN 1263000743763 |
| Finnish Vitamin D Trial (FIND) [ | Finland | 18,000 1 | 5 | 1600 or 3200 IU/day | Cancer, Cardiovascular | NCT 01463813 |
| Vitamin D and Longevity [ | United Kingdom | 20,000 2 | 5 | 100,000 IU/month | Total mortality, Cancer | ISRCTN 46328341 |
1 Projected sample; final randomized sample = 2495; 2 Projected sample; status of trial is pending.
Standard Reference Materials from the National Institute for Standards and Technology.
| ● Vitamin D metabolites in human serum/plasma |
| ○ SRM 972a Vitamin D Metabolites in Frozen Human Serum |
| ○ SRM 1950 Metabolites in Human Plasma |
| ○ SRM 968e Fat Soluble Vitamins, Carotenoids, and Cholesterol in Human Serum |
| ○ SRM 2973 Vitamin D Metabolites in Frozen Human Serum |
| ● 25-hydroxyvitamin D calibrating solutions in ethanol |
| ○ SRM 2972a |
Figure 3Standardization process for assays of serum 25-hydroxyvitamin D.