Evaluating the relationship between plasma and skin carotenoids and reported dietary intake in elementary school children to assess fruit and vegetable intake

Nguyen, Lori; Scherr, Rachel E.; Linnell, Jessica D.; Ermakov, Igor V.; Gellermann, Werner; Jahns, Lisa; Keen, Carl L.; Miyamoto, Sheridan; Steinberg, Francene M.; Young, Heather M.

doi:10.1016/j.abb.2015.02.015

Cited by 49 publications

(50 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…34 Resonance Raman spectroscopy has been used extensively in several nutritional epidemiology studies and is considered an excellent noninvasive biomarker of fruit and vegetable intake and has been validated by skin biopsy studies to correspond well with skin carotenoid content measured by HPLC 13 and serum carotenoid levels (Table 3). 13,18,19,27,35–40 After daily calibration, a 488-nm blue laser light illuminates a small patch of the subject's palm for approximately 30 seconds. Back-scattered light is collected, and a holographic notch filter rejects Rayleigh-scattered light.…”

Section: Methodsmentioning

confidence: 99%

Correlations Between Macular, Skin, and Serum Carotenoids

Conrady

Bell

Besch

et al. 2017

Invest. Ophthalmol. Vis. Sci.

Self Cite

View full text Add to dashboard Cite

PurposeOcular and systemic measurement and imaging of the macular carotenoids lutein and zeaxanthin have been employed extensively as potential biomarkers of AMD risk. In this study, we systematically compare dual wavelength retinal autofluorescence imaging (AFI) of macular pigment with skin resonance Raman spectroscopy (RRS) and serum carotenoid levels in a clinic-based population.MethodsEighty-eight patients were recruited from retina and general ophthalmology practices from a tertiary referral center and excluded only if they did not have all three modalities tested, had a diagnosis of macular telangiectasia (MacTel) or Stargardt disease, or had poor AFI image quality. Skin, macular, and serum carotenoid levels were measured by RRS, AFI, and HPLC, respectively.ResultsSkin RRS measurements and serum zeaxanthin concentrations correlated most strongly with AFI macular pigment volume under the curve (MPVUC) measurements up to 9° eccentricity relative to MPVUC or rotationally averaged macular pigment optical density (MPOD) measurements at smaller eccentricities. These measurements were reproducible and not significantly affected by cataracts. We also found that these techniques could readily identify subjects taking oral carotenoid-containing supplements.ConclusionsLarger macular pigment volume AFI and skin RRS measurements are noninvasive, objective, and reliable methods to assess ocular and systemic carotenoid levels. They are an attractive alternative to psychophysical and optical methods that measure MPOD at a limited number of eccentricities. Consequently, skin RRS and MPVUC at 9° are both reasonable biomarkers of macular carotenoid status that could be readily adapted to research and clinical settings.

show abstract

Section: Methodsmentioning

confidence: 99%

Correlations Between Macular, Skin, and Serum Carotenoids

Conrady

Bell

Besch

et al. 2017

Invest. Ophthalmol. Vis. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Other studies among healthy children and adolescents have validated FFQ using plasma carotenoids as an objective reference method; they report Pearson's correlation coefficients between self-reported or parentalassisted self-reported total intake of vegetables and concentration of total carotenoids or β-carotene in plasma in the range of 0·15-0·26 (37,38) . In comparison, we found a similar Spearman's correlation coefficient (r = 0·28) between total intake of vegetables and concentration of total carotenoids in plasma.…”

Section: Discussionmentioning

confidence: 99%

Associations between reported intakes of carotenoid-rich foods and concentrations of carotenoids in plasma: a validation study of a web-based food recall for children and adolescents

Medin

Carlsen

Andersen

2016

Public Health Nutr.

View full text Add to dashboard Cite

Objective: To validate estimated intakes of carotenoid-rich foods from a web-based food recall (WebFR) using carotenoids in blood as an objective reference method. Design: Cross-sectional validation study using carotenoids in plasma to evaluate estimated intakes of selected carotenoid-rich foods. Participants recorded their food intake in the WebFR and plasma concentrations of β-carotene, α-carotene, β-cryptoxanthin, lycopene, lutein and zeaxanthin were measured. Setting: Schools and homes of families in a suburb of the capital of Norway. Subjects: A total of 261 participants in the age groups 8-9 and 12-14 years. Results: Spearman's rank correlation coefficients ranged from 0·30 to 0·44, and cross-classification showed that 71·6-76·6 % of the participants were correctly classified, when comparing the reported intakes of carotenoid-rich foods and concentrations of the corresponding carotenoids in plasma, not including lutein and zeaxanthin. Conclusions: Correlations were acceptable and cross-classification analyses demonstrated that the WebFR was able to rank participants according to their reported intake of foods rich in α-carotene, β-carotene, β-cryptoxanthin and lycopene. The WebFR is a promising tool for dietary assessment among children and adolescents.

show abstract

“…This study showed that the carotenoid levels in blood and skin depended on the type of carotenoid. Theintake of carotenoids from vegetables and fruits in infants and children has been evaluated, [135] as well as retention kinetics of carotenoids in adults. Thea vailability was always faster in the blood, but more prolonged in the skin.…”

Section: Carotenoidsmentioning

confidence: 99%

“…[134] Meanwhile,t his method has been applied to other large-scale studies to investigate the effects of nutrition on the carotenoid level on the skin. Theintake of carotenoids from vegetables and fruits in infants and children has been evaluated, [135] as well as retention kinetics of carotenoids in adults. [136] As mentioned above,r esonance Raman scattering is usually generated by excitation into the absorption band of ac hromophore.I nt he case of carotenoids,e specially bcarotene,s ubstantial enhancements have been observed for excitations in the pre-resonance region shifted far into the red about 800 nm.…”

Section: Carotenoidsmentioning

confidence: 99%

Label‐Free Molecular Imaging of Biological Cells and Tissues by Linear and Nonlinear Raman Spectroscopic Approaches

et al. 2017

View full text Add to dashboard Cite

Raman spectroscopy is an emerging technique in bioanalysis and imaging of biomaterials owing to its unique capability of generating spectroscopic fingerprints. Imaging cells and tissues by Raman microspectroscopy represents a nondestructive and label-free approach. All components of cells or tissues contribute to the Raman signals, giving rise to complex spectral signatures. Resonance Raman scattering and surface-enhanced Raman scattering can be used to enhance the signals and reduce the spectral complexity. Raman-active labels can be introduced to increase specificity and multimodality. In addition, nonlinear coherent Raman scattering methods offer higher sensitivities, which enable the rapid imaging of larger sampling areas. Finally, fiber-based imaging techniques pave the way towards in vivo applications of Raman spectroscopy. This Review summarizes the basic principles behind medical Raman imaging and its progress since 2012.

show abstract

Evaluating the relationship between plasma and skin carotenoids and reported dietary intake in elementary school children to assess fruit and vegetable intake

Cited by 49 publications

References 24 publications

Correlations Between Macular, Skin, and Serum Carotenoids

Correlations Between Macular, Skin, and Serum Carotenoids

Associations between reported intakes of carotenoid-rich foods and concentrations of carotenoids in plasma: a validation study of a web-based food recall for children and adolescents

Label‐Free Molecular Imaging of Biological Cells and Tissues by Linear and Nonlinear Raman Spectroscopic Approaches

Contact Info

Product

Resources

About