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Article

Se Status Prediction by Food Intake as Compared to Circulating Biomarkers in a West Algerian Population

1
Analytical Chemistry and Electrochemistry Laboratory, Abou Bekr Belkaid University of Tlemcen, BP 119, 13000 Tlemcen, Algeria
2
Institute of Earth Science, University of Grenoble-Alpes and CNRS, BP 53, CEDEX 9, 38041 Grenoble, France
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Institute for Experimental Endocrinology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, CVK, D-13353 Berlin, Germany
*
Authors to whom correspondence should be addressed.
Nutrients 2020, 12(12), 3599; https://doi.org/10.3390/nu12123599
Received: 17 October 2020 / Revised: 15 November 2020 / Accepted: 20 November 2020 / Published: 24 November 2020
(This article belongs to the Section Micronutrients and Human Health)
Algeria is the largest country in Africa, located close to the Mediterranean coastal area, where nutrients consumption varies widely. Local data on selenium composition of foods are not available. We postulated a close correlation between selenium status predictions from food consumption analysis with a quantitative analysis of circulating biomarkers of selenium status. Population characteristics were recorded from 158 participants and dietary selenium intake was calculated by 24-h recall. The average total plasma selenium was 92.4 ± 18.5 µg/L and the mean of selenium intake was 62.7 µg/day. The selenoprotein P concentration was 5.5 ± 2.0 mg/L and glutathione peroxidase 3 activity was 247.3 ± 41.5 U/L. A direct comparison of the dietary-derived selenium status to the circulating selenium biomarkers showed no significant interrelation. Based on absolute intakes of meat, potato and eggs, a model was deduced that outperforms the intake composition-based prediction from all food components significantly (DeLong’s test, p = 0.029), yielding an area under the curve of 82%. Selenium status prediction from food intake remains a challenge. Imprecision of survey method or information on nutrient composition makes extrapolating selenium intake from food data providing incorrect insights into the nutritional status of a given population, and laboratory analyses are needed for reliable information. View Full-Text
Keywords: selenium; monitoring; food intake; predictive model; selenoprotein P; glutathione peroxidase 3 selenium; monitoring; food intake; predictive model; selenoprotein P; glutathione peroxidase 3
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MDPI and ACS Style

Belhadj, M.; Kazi Tani, L.S.; Dennouni Medjati, N.; Harek, Y.; Dali Sahi, M.; Sun, Q.; Heller, R.; Behar, A.; Charlet, L.; Schomburg, L. Se Status Prediction by Food Intake as Compared to Circulating Biomarkers in a West Algerian Population. Nutrients 2020, 12, 3599. https://doi.org/10.3390/nu12123599

AMA Style

Belhadj M, Kazi Tani LS, Dennouni Medjati N, Harek Y, Dali Sahi M, Sun Q, Heller R, Behar A, Charlet L, Schomburg L. Se Status Prediction by Food Intake as Compared to Circulating Biomarkers in a West Algerian Population. Nutrients. 2020; 12(12):3599. https://doi.org/10.3390/nu12123599

Chicago/Turabian Style

Belhadj, Moussa, Latifa S. Kazi Tani, Nouria Dennouni Medjati, Yahia Harek, Majda Dali Sahi, Qian Sun, Raban Heller, Ammaria Behar, Laurent Charlet, and Lutz Schomburg. 2020. "Se Status Prediction by Food Intake as Compared to Circulating Biomarkers in a West Algerian Population" Nutrients 12, no. 12: 3599. https://doi.org/10.3390/nu12123599

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