Session/Event: Micronutrients: From Bioavailability to Metabolism and Beyond (Oral 31)

(OR31-02-22) Biomarkers of Choline Metabolism in Women of Reproductive Age in Southern India

On Demand

Presenting Author(s)

HG

Heather M. Guetterman, MS

Doctoral Student
Cornell University
Ithaca, New York, United States

Disclosure: Disclosure(s): No relevant financial relationship(s) with ineligible companies to disclose.

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Co-Author(s)

KC

Krista S. Crider, PhD

Geneticist
Centers for Disease Control and Prevention
Chamblee, Georgia, United States
AF

Amy Fothergill, PhD, MPH

Postdoctoral Associate
Cornell University
Ithaca, New York, United States
CJ

Christina B. Johnson, MS

Arogyavaram Medical Centre
Madanapalle, Andhra Pradesh, India
BB

Beena Bose, BS

Biochemist
St. John's Research Institute
Bangalore, Karnataka, India
CR

Charles E. Rose, PhD

Centers for Disease Control and Prevention
Atlanta, Georgia, United States
JW

Jennifer L. Williams, MSN, MPH, FNP-BC

Centers for Disease Control and Prevention
Atlanta, Georgia, United States
OM

Olga V. Malysheva, BS

Cornell University
Ithaca, New York, United States
Martha S. Field, PhD

Assistant Professor
Cornell University
Ithaca, New York, United States
MC

Marie A. Caudill, PhD, RD

Cornell University
Ithaca, New York, United States
YQ

Yan Ping Qi

Centers for Disease Control and Prevention
SM

Saurabh Mehta, MBBS, ScD

Janet and Gordon Lankton Professor, Division of Nutritional Sciences
Cornell University
Ithaca, New York, United States
RK

Rebecca Kuriyan

St. John's Research Institute
BW

Bonam Wesley, BSc, MBBS, FAIMS, MRSH

Director
Arogyavaram Medical Centre
Madanapalle, Andhra Pradesh, India
JF

Julia L. Finkelstein, MPH, SM, ScD

Assistant Professor
Cornell University
Ithaca, New York, United States

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)