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Biomarkers of Choline Metabolism in Women of Reproductive Age in Southern India

OBJECTIVES: Inadequate maternal choline intake during pregnancy has been associated with adverse pregnancy and child health outcomes – and has been identified as a potential risk factor for neural tube defects. However, there is limited data on biomarkers of choline metabolism in women of reproducti...

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Autores principales: Guetterman, Heather, Crider, Krista, Fothergill, Amy, Johnson, Christina, Bose, Beena, Rose, Charles, Williams, Jennifer, Malysheva, Olga, Field, Martha, Caudill, Marie, Qi, Yan Ping, Mehta, Saurabh, Kuriyan, Rebecca, Bonam, Wesley, Finkelstein, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194281/
http://dx.doi.org/10.1093/cdn/nzac074.013
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author Guetterman, Heather
Crider, Krista
Fothergill, Amy
Johnson, Christina
Bose, Beena
Rose, Charles
Williams, Jennifer
Malysheva, Olga
Field, Martha
Caudill, Marie
Qi, Yan Ping
Mehta, Saurabh
Kuriyan, Rebecca
Bonam, Wesley
Finkelstein, Julia
author_facet Guetterman, Heather
Crider, Krista
Fothergill, Amy
Johnson, Christina
Bose, Beena
Rose, Charles
Williams, Jennifer
Malysheva, Olga
Field, Martha
Caudill, Marie
Qi, Yan Ping
Mehta, Saurabh
Kuriyan, Rebecca
Bonam, Wesley
Finkelstein, Julia
author_sort Guetterman, Heather
collection PubMed
description OBJECTIVES: Inadequate maternal choline intake during pregnancy has been associated with adverse pregnancy and child health outcomes – and has been identified as a potential risk factor for neural tube defects. However, there is limited data on biomarkers of choline metabolism in women of reproductive age (WRA), and few representative population-level data from India. The objective of this analysis was to examine biomarkers of choline metabolism and their correlates in WRA, as part of a population-based biomarker survey in Southern India. METHODS: Participants were WRA (15–40y; n = 980) who were not pregnant or lactating. Free choline, betaine, dimethylglycine, methionine, and trimethylamine N-oxide concentrations were evaluated via liquid chromatography tandem mass spectrometry. Linear regression models were used to examine sociodemographic (e.g., age, parity), dietary (e.g., frequency of animal source food intake), and anthropometric (e.g., body mass index [BMI], waist circumference, waist-hip ratio) correlates of biomarkers of choline metabolism, including betaine concentrations and betaine to choline ratio (B:C). RESULTS: Betaine concentrations (GM: 44.2 μmol/L [95% CI: 43.4, 45.0]) were 4-fold higher compared to free choline (11.1μmol/L [10.9, 11.2]) levels, with an average B:C of 4.0 [3.9, 4.1]. Increased age (β: −0.01 [SE: 0.002], P < 0.0001), multiparity (multiparous/primiparous vs. nulliparous, P < 0.0001), and increased frequency of animal source food intake (poultry, p = 0.004; red meat, p = 0.01), were associated with lower B:C. Higher BMI (betaine: β: −0.004 [SE: 0.002], p = 0.02; B:C: β: −0.02 [SE: 0.002], P < 0.0001), waist circumference (betaine: −0.002 [0.001], p = 0.02; B:C: −0.01 [0.001], P < 0.0001), and waist-hip ratio (betaine: −0.31 [0.15], p = 0.04; B:C: −1.02 [0.16], P < 0.0001), were also associated with lower betaine concentrations and B:C. CONCLUSIONS: In this population, higher BMI and central adiposity were associated with lower betaine concentrations and B:C. Findings from this biomarker survey will inform prospective research on the role of choline biomarkers in the health and nutritional requirements of WRA. FUNDING SOURCES: Centers for Disease Control and Prevention (5U01DD001007), University of South Carolina Disability Research and Dissemination Center; Cornell DNS; NIH T32DK007158 (HMG); NIH 5T32HD087137 (AF).
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spelling pubmed-91942812022-06-14 Biomarkers of Choline Metabolism in Women of Reproductive Age in Southern India Guetterman, Heather Crider, Krista Fothergill, Amy Johnson, Christina Bose, Beena Rose, Charles Williams, Jennifer Malysheva, Olga Field, Martha Caudill, Marie Qi, Yan Ping Mehta, Saurabh Kuriyan, Rebecca Bonam, Wesley Finkelstein, Julia Curr Dev Nutr Vitamins and Minerals OBJECTIVES: Inadequate maternal choline intake during pregnancy has been associated with adverse pregnancy and child health outcomes – and has been identified as a potential risk factor for neural tube defects. However, there is limited data on biomarkers of choline metabolism in women of reproductive age (WRA), and few representative population-level data from India. The objective of this analysis was to examine biomarkers of choline metabolism and their correlates in WRA, as part of a population-based biomarker survey in Southern India. METHODS: Participants were WRA (15–40y; n = 980) who were not pregnant or lactating. Free choline, betaine, dimethylglycine, methionine, and trimethylamine N-oxide concentrations were evaluated via liquid chromatography tandem mass spectrometry. Linear regression models were used to examine sociodemographic (e.g., age, parity), dietary (e.g., frequency of animal source food intake), and anthropometric (e.g., body mass index [BMI], waist circumference, waist-hip ratio) correlates of biomarkers of choline metabolism, including betaine concentrations and betaine to choline ratio (B:C). RESULTS: Betaine concentrations (GM: 44.2 μmol/L [95% CI: 43.4, 45.0]) were 4-fold higher compared to free choline (11.1μmol/L [10.9, 11.2]) levels, with an average B:C of 4.0 [3.9, 4.1]. Increased age (β: −0.01 [SE: 0.002], P < 0.0001), multiparity (multiparous/primiparous vs. nulliparous, P < 0.0001), and increased frequency of animal source food intake (poultry, p = 0.004; red meat, p = 0.01), were associated with lower B:C. Higher BMI (betaine: β: −0.004 [SE: 0.002], p = 0.02; B:C: β: −0.02 [SE: 0.002], P < 0.0001), waist circumference (betaine: −0.002 [0.001], p = 0.02; B:C: −0.01 [0.001], P < 0.0001), and waist-hip ratio (betaine: −0.31 [0.15], p = 0.04; B:C: −1.02 [0.16], P < 0.0001), were also associated with lower betaine concentrations and B:C. CONCLUSIONS: In this population, higher BMI and central adiposity were associated with lower betaine concentrations and B:C. Findings from this biomarker survey will inform prospective research on the role of choline biomarkers in the health and nutritional requirements of WRA. FUNDING SOURCES: Centers for Disease Control and Prevention (5U01DD001007), University of South Carolina Disability Research and Dissemination Center; Cornell DNS; NIH T32DK007158 (HMG); NIH 5T32HD087137 (AF). Oxford University Press 2022-06-14 /pmc/articles/PMC9194281/ http://dx.doi.org/10.1093/cdn/nzac074.013 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Vitamins and Minerals
Guetterman, Heather
Crider, Krista
Fothergill, Amy
Johnson, Christina
Bose, Beena
Rose, Charles
Williams, Jennifer
Malysheva, Olga
Field, Martha
Caudill, Marie
Qi, Yan Ping
Mehta, Saurabh
Kuriyan, Rebecca
Bonam, Wesley
Finkelstein, Julia
Biomarkers of Choline Metabolism in Women of Reproductive Age in Southern India
title Biomarkers of Choline Metabolism in Women of Reproductive Age in Southern India
title_full Biomarkers of Choline Metabolism in Women of Reproductive Age in Southern India
title_fullStr Biomarkers of Choline Metabolism in Women of Reproductive Age in Southern India
title_full_unstemmed Biomarkers of Choline Metabolism in Women of Reproductive Age in Southern India
title_short Biomarkers of Choline Metabolism in Women of Reproductive Age in Southern India
title_sort biomarkers of choline metabolism in women of reproductive age in southern india
topic Vitamins and Minerals
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194281/
http://dx.doi.org/10.1093/cdn/nzac074.013
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