Evidence map›Paper›PMID 29601824›Full record

ArticleArchives of biochemistry and biophysics2018

Optical assessment of skin carotenoid status as a biomarker of vegetable and fruit intake.

Igor V Ermakov, Maia Ermakova, Mohsen Sharifzadeh, Aruna Gorusupudi, Kelliann Farnsworth, Paul S Bernstein, Jodi Stookey, Jane Evans, Tito Arana, Lisa Tao-Lew and 7 more

Abstract read
In one paragraph

Article in Archives of biochemistry and biophysics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 3 syntheses or guidelines pooled it, 124 citations in OpenAlex.

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  15. Skin Carotenoid Scores Reflect Immune Status among Children Living with HIV in Tanzania.The American journal of tropical medicine and hygiene · 2026
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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 2 countries.

Igor V ErmakovLongevity Link Corporation, Salt Lake City, UT, United States.
Maia ErmakovaLongevity Link Corporation, Salt Lake City, UT, United States.
Mohsen SharifzadehLongevity Link Corporation, Salt Lake City, UT, United States.
Aruna GorusupudiMoran Eye Center, University of Utah School of Medicine, Salt Lake City, UT, United States.
Kelliann FarnsworthMoran Eye Center, University of Utah School of Medicine, Salt Lake City, UT, United States.
Paul S BernsteinMoran Eye Center, University of Utah School of Medicine, Salt Lake City, UT, United States.
Jodi StookeySan Francisco Department of Public Health Child Care Health Program, San Francisco, CA, United States.
Jane EvansSan Francisco Department of Public Health Child Care Health Program, San Francisco, CA, United States.
Tito AranaSan Francisco Department of Public Health Child Care Health Program, San Francisco, CA, United States.
Lisa Tao-LewSan Francisco Department of Public Health Child Care Health Program, San Francisco, CA, United States.
Carly IsmanSan Francisco Department of Public Health Child Care Health Program, San Francisco, CA, United States.
Anna ClaytonSan Francisco Department of Public Health Child Care Health Program, San Francisco, CA, United States.
Akira ObanaDepartment of Ophthalmology, Seirei Hamamatsu General Hospital, Hamamatsu City, Japan.
Leah WhighamPaso del Norte Institute for Healthy Living, University of Texas at El Paso, El Paso, TX, United States.
Alisha H RedelfsPaso del Norte Institute for Healthy Living, University of Texas at El Paso, El Paso, TX, United States.
Lisa JahnsUSDA-ARS Grand Forks Human Nutrition Research Center Grand Forks, ND, United States.
Werner GellermannLongevity Link Corporation, Salt Lake City, UT, United States. Electronic address: wbgellermann@gmail.com.
San Francisco Department of Public Health · USLongevity Biotech (United States) · USUniversity of Utah · USThe University of Texas at El Paso · USGrand Forks Human Nutrition Research Center · USSeirei Hamamatsu General Hospital · JP

Funding

University of Utah, Core Vision Research GrantP30EY014800 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Behrad Noudoost · 2005 to 2026
$14.6M
Biochemistry and Pharmacology of the Macular CarotenoidsR01EY011600 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI BERNSTEIN, PAUL STEVEN · 2004 to 2025
$7.7M
BIOCHEMISTRY AND PHARMACOLOGY OF THE MACULAR CAROTENOIDSR29EY011600 · NEI · UNIVERSITY OF UTAH · PI BERNSTEIN, PAUL STEVEN · 1997 to 2001
$209k
NEI NIH HHS P30 EY014800NEI NIH HHS R01 EY011600NEI NIH HHS R29 EY011600
6 · The paper itself

Abstract

Resonance Raman spectroscopy (RRS) and reflection spectroscopy (RS) are optical methods applicable to the non-invasive detection of carotenoids in human skin. RRS is the older, more thoroughly validated method, whereas RS is newer and has several advantages. Since collective skin carotenoid levels serve as a biomarker for vegetable and fruit intake, both methods hold promise as convenient screening tools for assessment of dietary interventions and correlations between skin carotenoids and health and disease outcomes. In this manuscript, we describe the most recent optimized device configurations and compare their use in various clinical and field settings. Both RRS and RS devices yield a wide range of skin carotenoid levels between subjects, which is a critical feature for a biomarker. Repeatability of the methods is 3-15% depending on the subject's skin carotenoid level and the uniformity of its local distribution. For 54 subjects recruited from an ophthalmology clinic, we first checked the validity of the relatively novel RS methodology via biochemical serum carotenoid measurements, the latter carried out with high performance liquid chromatography (HPLC). A high correlation between RS skin and serum HPLC carotenoid levels was established (R = 0.81; p < 0.001). Also, a high correlation was found between RS and RRS skin levels (R = 0.94 p < 0.001). Subsequent comparisons of skin carotenoid measurements in diverse age groups and ethnicities included 569 Japanese adults, 947 children with ages 2-5 screened in 24 day care centers in San Francisco, and 49 predominantly Hispanic adults screened at an outdoor health fair event. Depending on the particular subject group, correlation coefficients between the RRS and RS methods ranged between R ∼0.80 and R ∼0.96. Analysis of the Japanese screening showed that, on average, skin carotenoid levels are higher in women compared to men, skin levels do not depend on age, and tobacco smokers have reduced levels versus non-smokers. For the two most ethnically diverse groups with widely varying melanin levels, we investigated the effect of dermal melanin on RS and RRS skin carotenoid levels. The analysis revealed that large variations in skin carotenoid levels remain detectable independent of the particular melanin index. This behavior is consistent with the absence of melanin effects on the skin carotenoid levels generated with the instrument configurations. The RS method has an advantage over RRS in its relative simplicity. Due to its detection of skin reflection over a wide spectral range from the near UV to the near IR, it has the unique ability to quantify each of the major tissue chromophores and take them into account in the derivation of skin carotenoid levels.

Indexed as

DietAdultAgedAged, 80 and overBiomarkersCarotenoidsChild, PreschoolFemaleFruitHumansMaleMelaninsMiddle AgedSkinSpectrum Analysis, RamanVegetablesBiomarkersCarotenoidsMelanins

Identifiers

PMID29601824
PMCPMC6370053
OpenAlexW2794933131

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.