| Literature DB >> 32535545 |
Abstract
For decades, the potential beneficial effect of vitamin C on human health-beyond that of preventing scurvy-has been subject of much controversy. Hundreds of articles have appeared either in support of increased vitamin C intake through diet or supplements or rejecting the hypothesis that increased intake of vitamin C or supplementation may influence morbidity and mortality. The chemistry and pharmacology of vitamin C is complex and has unfortunately rarely been taken into account when designing clinical studies testing its effect on human health. However, ignoring its chemical lability, dose-dependent absorption and elimination kinetics, distribution via active transport, or complex dose-concentration-response relationships inevitably leads to poor study designs, inadequate inclusion and exclusion criteria and misinterpretation of results. The present review outlines the differences in vitamin C pharmacokinetics compared to normal low molecular weight drugs, focusses on potential pitfalls in study design and data interpretation, and re-examines major clinical studies of vitamin C in light of these.Entities:
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Year: 2020 PMID: 32535545 PMCID: PMC7296342 DOI: 10.1016/j.redox.2020.101532
Source DB: PubMed Journal: Redox Biol ISSN: 2213-2317 Impact factor: 11.799
Fig. 2Comparison of vitamin C and an average low molecular weight drug with regard to plasma concentration. Left panels illustrates intravenous administration, right panels oral administration, respectively. Schematic plasma concentration vs time following a bolus and maximal plasma concentration vs dose plots are compiled from data in Refs. [7,10,11,27,48,49,54,[94], [95], [96], [97]]. Plots are approximations for illustrative purposes only. A: An average drug displays 1st order kinetics following i. v. administration with a constant elimination half-life. B: Oral administration gives rise to an absorption phase followed by a 1st order elimination with a half-life similar to that of i. v. administration. C: Intravenous administration of vitamin C typically results in 1st kinetics until the physiological concentration range is reached where the elimination will gradually decline. D: The effect of oral administration of vitamin C on the plasma concentration will depend considerably on the vitamin C status of the individual. Vitamin C deficiency will promote quantitative uptake while vitamin C sufficiency will promote excretion with little impact on the plasma concentration profile. E & F: For the average drug, the maximal plasma concentration is proportional to the dose regardless of route of administration. G: A recent compilation of i. v. data revealed that the maximal plasma concentration following i. v. administration of vitamin C is proportional to the (infusion) dose up to about 50 mmol/L (corresponding to a dose of 70 g/m2 after which is does not increase further [7]. H: Plasma Cmax following oral administration of vitamin C is not proportional to the dose but displays saturation kinetics [11,98].
Fig. 1Distribution of vitamin C is highly differential between organs of the body. Several organs have concentration-dependent mechanisms for retention of vitamin C maintaining high levels during times of inadequate supply at the expense of other organs. Particularly protected is the brain. In addition, the concentration-dependent absorption and re-absorption mechanisms contribute to the homeostatic control of the vitamin C in the body. Reproduced from Ref. [7].
Fig. 3Comparison of vitamin C and an average low molecular weight drug with regard to tissue concentration. Plots are approximations for illustrative purposes only. A: Following administration, a normal drug will quickly distribute to the tissue by passive diffusion until equilibrium is reached. Subsequently, the drug is cleared from the tissue with a half-life equal to that of plasma elimination [97]. B: The maximal tissue concentration is proportional to the dose. C & D: In a vitamin C sufficient individual, tissue concentration will be at their steady state and not subject to significant fluctuation unless an insufficient dose is provided. The maximal tissue concentration of individual tissues depends on SVCT configuration and expression and display saturation kinetics with increasing doses [7,10,11]. E: In a vitamin C deficient individual, tissue concentrations will quickly increase when vitamin C is provided depending on SVCT2 expression and tissue priority [7]. If vitamin C administration is discontinued, the tissue concentration will gradually decline but much slower than from the plasma compartment. Some tissues such as the brain have a remarkable ability to retain vitamin C against an increasing concentration gradient as a result of emerging deficiency [92,99]. F: In a vitamin C deficient individual, steady state level will be reached when sufficient vitamin C is provided. Steady state concentration of the tissue does not exceed saturation level.
Typical pharmacokinetic properties of an orally administered pharmaceutical drug vs. those of vitamin C obtained from food sources or supplements (modified from Refs. [3]).
| Pharmacokinetic property | Typical orally administered low molecular weight drug | Vitamin C from food sources or supplements |
|---|---|---|
| 1st order absorption kinetics within the therapeutic range. Absorption through passive transport resulting in plasma concentrations in the nano- to micromolar range. | Nonlinear absorption kinetics due to a mixture of saturable active transport through SVCT1 and facilitated diffusion through GLUT transporters resulting in micromolar plasma concentrations and millimolar tissue concentrations. | |
| Primarily distributed through passive diffusion. Immediate distribution primarily determined by blood flow and tissue perfusion. Homeostasis largely based on physical-chemical properties of the drugs including lipofilicity, pKa and protein binding. | Primarily distributed through active transport. Immediate distribution based on tissue priority governed by SVCT2 transporter expression and saturation kinetics. Homeostasis depends on adequacy of dose and vitamin C status of bodily compartments. | |
| Catabolized unspecifically by phase I & II enzymes potentially generating a range of metabolites and/or conjugates with increased water solubility. | Specifically | |
| Most often 1st order elimination kinetics though passive glomerular filtration and passive reabsorption depending on pKa. Overall relatively rapid excretion of parent compound and metabolites through urine and bile. | Nonlinear concentration-dependent elimination kinetics resulting in anything from 0 to 100% active renal reabsorption depending on vitamin C availability and saturation of bodily compartments. | |
| Kinetics can usually be modelled well by simple compartment and non-compartment models. | Does not comply with the basic assumption of terminal 1st order kinetics used in both compartmental and non-compartmental analysis. |
Summary of the most important design challenges in clinical studies of vitamin C in health and disease leading to potential misinterpretation of the results and erroneous conclusions.
| Study type | Design challenges | Potential pitfall in interpretation |
|---|---|---|
| Confounding | Vitamin C deficiency is commonly accompanied by other micronutrient deficiencies, suboptimal lifestyle and other residual confounding that may potentially contribute to or even be responsible for the observed associations. | |
| Using vitamin C intake as surrogate marker for vitamin C status | Vitamin C intake is a poor surrogate for vitamin C status as the estimation of vitamin C intake is inherently inaccurate and the relationship between intake and status is highly complex. | |
| Subjects already high in vitamin C at study start | Due to the saturation kinetics of vitamin C following oral administration, individual vitamin C status greatly affect the potential effect of supplementation. As vitamin C deficiency is most commonly limited to selected subpopulations, the potential efficacy will be effectively diluted if inclusion criteria are not taking this into account. | |
| Placebo group continues to take supplements | Allowing continued supplement intake in the placebo group will test two doses of vitamin C against each other rather than the effect of vitamin C supplementation | |
| Both intervention and placebo groups have had a lifelong preload with vitamin C | The human diet typically contains from 0 to 250mg vitamin C per day not considering supplementation, i.e. a wide range and with the high end being within the range or even exceeding that of several of the large intervention studies. Thus, the potential for observing disease prevention with supplementation vs placebo during the study period should be compared to the lifelong vitamin C status of all study subjects. | |
| Vitamin C is not tested as a single supplement | Not testing vitamin C as a single supplement limits the possibility of extracting its effect | |
| Selection bias | Recruitment may favor health-conscious, self-motivated subjects eating a healthy diet already high in micronutrients and with a lower disease rate than background population. This will limit the possibility of identifying effects of supplementation. | |
| Using non-fasted blood samples | Oral vitamin C intake produces a transient albeit significant increase in plasma level depending on the vitamin C status of the individual (See | |
| Inadequate sample handling | Inadequate sampling stabilization and handling leads to increased post sampling oxidation and artefactually low vitamin C concentrations regardless of methodology. |
Effect of vitamin C intake on disease risk/mortality in major observational studies. Major limitations of the presented studies are that i) they estimate vitamin C intake as surrogate for vitamin C status, ii) most studies suffer from selection bias and iii) only a single estimate of vitamin C intake is used.
| Survey Data | The Nurses' Health Study [ | Etude Epidémiologique aupre's de femmes de la Mutuelle Générale de l’Education Nationale [ | EPICOR Study [ | Iowa Women's Health Study [ | |
|---|---|---|---|---|---|
| 85,118 healthy US female nurses, aged 30–45 yrs | 57,403 French healthy women, aged 40–65 yrs | 43,738 US men w/o CVD or diabetes, aged 40–75 yrs | 41,620 Italian men & women w/o MI or stroke, aged 44–61 yrs | 34,492 US postmenopausal women, aged 55–69 yrs | |
| 704; top quintile | 228a; top quartile | 1167; top quintile | 201; top tertile | 679; top quintile | |
| 70; bottom quintile | 77.5a; bottom quartile | 95; bottom quintile | 83; bottom tertile | 82; bottom quintile | |
| Age, energy intake, supplements use, alcohol, smoking status, and diabetes | Age, oral contraceptives, hormone therapy, alcohol, BMI, physical activity, energy intake, smoking, supplement use, education, and specific breast cancer risk factors | Age, season, smoking, energy intake, alcohol, hypertension, parental history of MI, profession, BMI and physical activity. | Age, center, sex, hypertension, smoking, education, energy intake, alcohol, waist circumference, obesity, and physical activity. | Age, BMI, waist-to-hip ratio, hypertension, diabetes, ERT, education, marital status, smoking, physical activity, energy intake, cholesterol, alcohol, saturated fat, fish, vitE, carotenoids, fiber, and whole grains | |
| 16 | 10 | 8 | 7.9 | 11 | |
| CHD | Postmenopausal breast cancer | Stroke | Stroke | Death from stroke | |
| Inverse association between vitC intake and risk of CHD. VitC supplementation was associated with lower risk of CHD | VitC supplement use not associated with breast cancer risk; Top quartile of vitC intake from foods only showed increased risk of breast cancer | Neither vitC intake nor supplementation was associated with lower risk of stroke | VitC associated with lower risk of ischemic stroke | No association between vitC intake and death from stroke |
Abbreviations: BMI, body mass index; CHD, chronic heart disease; CVD, cardiovascular disease; DBP, diastolic blood pressure; ERT, estrogen replacement therapy; IHD Ischemic heart disease; MI, myocardial infaction; SBP, systolic blood pressure; vitC, vitamin C; vitE, Vitamin E. aReported as mean intake from food only.
Effect of vitamin C supplementation in major randomized controlled trials. Major limitations of the presented studies are that they mostly i) allowed concurrent supplementation in the placebo group, ii) included vitamin C sufficient individuals and iii) used multi-vitamin supplements with inadequate amounts of vitamin C.
| Study | Linxian Study [ | Heart Protection Study [ | Physicians Health Study II [ | SU.VI.MAX Study [ | Women's Antioxidant Cardiovascular Study [ |
|---|---|---|---|---|---|
| 29,584 men and women from Linxian County, Henan Province, China, aged ≥40 yrs | 20,536 British men and women aged ≥40 yrs with CHD or other occlusive arterial disease or diabetes | 14,641 US male physicians age ≥50 yrs | 13,017 French men and women aged ≥35 yrs | 8171 US women aged ≥40 yrs and with prior CVD or high risk | |
| ½ (2 × 2 x 2 × 2) | 2 × 2 | 2 × 2 ( × 2 × 2) | Parallel | 2 × 2 × 2 | |
| 11.4a | Not reported | Not reported | 54.5 | Not reported | |
| 30.7 | 43.2 | Not reported | 58.0 | 71.5 | |
| 15.3 | +15.7b | Not reported | +11.3c | +35.2d | |
| Not reported | No | Not reported | Yes | Not reported | |
| Not reported | Yes, but not high dose vitE (Not reported) | Yes, up to the RDA (4.4% for 1 month/yr or more) | No | Yes, up to the RDA (27.5%) | |
| Various vitamin/mineral combinations including Vitamin C (120 mg/d) + Mo | Multivitamin containing Vitamin C (250 mg/d) | Vitamin C (500 mg/d) or other antioxidants | Multivitamin containing Vitamin C (120 mg/d). | Vitamin C (500 mg/d) or other antioxidants | |
| 5.25 | 5 | 8 | 7.5 | 9.4 | |
| Mortality and cancer incidence | Major coronary events and fatal or non-fatal vascular events | Cardiovascular events, myocardial infarction, stroke, or CVD death | Ischemic cardiovascular disease and all-cause mortality | Myocardial infarction, stroke, coronary revascularization, or CVD death | |
| No effect of vitamin C + Mo supplementation | No effect of vitamin C supplementation | No effect of vitamin C supplementation | No effect on CVD but lower all-cause mortality in men | No effect of vitamin C supplementation |
Assessed in a98 individuals, babout 5% of the participants, can unselected subsample, d30 local participants. Abbreviations: CVD, cardiovascular disease; Mo, molybdenum.
Effect of vitamin C status on disease risk/mortality in major observational studies. Limitations of the presented studies are that they i) used non-fasted blood samples, ii) less than optimal analytical methodology and iii) do not account for possible multi-deficiencies.
| Survey Data | EPIC-Norfolk [ | EPIC-Norfolk [ | NHANES II [ | NHANES II [ | NHANES II [ |
|---|---|---|---|---|---|
| 20,649 men and women from Norfolk, UK, aged 40–79 yrs | 19,496 men and women from Norfolk, UK, aged 45–79 yrs | 8417 US men and women, aged 30–75 yrs | 7071 US men and women aged 30–75 yrs | 6624 US men and women aged 40–74 yrs | |
| ≥66.0; top quartile | 79.2; top quintile | 79.5 (64.7–158.8) | ≥73.8; top quartile | 85.2 (64.7–158.8) | |
| <41.0; bottom quartile | 25.9; bottom quintile | 17.0 (5.7–22.7) | <28.4; bottom quartile | 17.0 (5.7–22.7) | |
| No | No | No | No | No | |
| Fluorometric assay | Fluorometric assay | Colorimetric assay | Colorimetric assay | Colorimetric assay | |
| Age, sex, smoking, BMI, SBP, cholesterol, physical activity, diabetes, MI, social class, alcohol & supplement use | Age, systolic blood pressure, cholesterol, smoking, diabetes, & supplement use | Gender | Smoking status | Age, sex, race, education, physical activity, smoking, alcohol, cholesterol, BMI, diabetes, hypertension, aspirin and vitE use | |
| 9.5 | 4 | ?* | 12–16 | ?* | |
| Stroke | All-cause, CVD, IHD and cancer mortality | All-cause, CVD and cancer mortality | Cancer & all-cause mortality | CVD | |
| Risk of stroke was 42% lower in top vs bottom quartile | VitC inversely related to all-cause, CVD & IHD death. Risk of death was about half in top vs bottom quintile | Mid and top vitC groups had 25–29% decreased risk of all-cause mortality compared to bottom vitC group | Men in bottom vs top quartile had 57% increased risk of all-cause mortality & 62% higher risk of cancer death | Serum vitC independently associated with CHD & stroke; 27% lower risk in top vs bottom group |
Abbreviations: BMI, body mass index; CHD, chronic heart disease; CVD, cardiovascular disease; IHD, Ischemic heart disease; MI, myocardial infaction; SBP, systolic blood pressure; vitC, vitamin C; vitE, Vitamin E. *Follow-up period not specifically specified.