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      Dietary Phosphatidylcholine Intake and Type 2 Diabetes in Men and Women

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          Abstract

          Recent studies have related plasma levels of gut microbiota metabolites of dietary phosphatidylcholine to risk of cardiovascular disease (1,2). Choline from dietary phosphatidylcholine can be converted by gut microbes to form trimethylamine, which is then absorbed and oxidized in the liver to form trimethyamine oxidase (3). Diet is the primary source of gut microbiota metabolites; however, little is known about the association between dietary phosphatidylcholine and risk of type 2 diabetes (T2D). We extracted data with dietary intake from three ongoing cohorts: the Nurses' Health Study (NHS), NHS II, and the Health Professionals Follow-Up Study (HPFS). We excluded participants with diabetes (n = 5,466), cardiovascular disease (n = 3,655), cancer (n = 8,675), or implausible dietary data (n = 4,009) at baseline, leaving 203,308 men and women for analysis (NHS: 73,128; NHS II: 88,516; HPFS: 41,664). Dietary phosphatidylcholine was estimated by a valid food-frequency questionnaire (4), with approximately 130 food items administered every 2 or 4 years combined with the phosphatidylcholine contents from the U.S. Department of Agriculture database (http://www.ars.usda.gov/ba/bhnrc/ndl) and from values published by Zeisel et al. (5). Cox proportional hazards regression models were used to estimate the relative risk (RR) and 95% CI for associations between phosphatidylcholine and T2D while accounting for potential confounders, including age, BMI, lifestyle factors, family history of diabetes, and present chronic conditions (full list of covariates is available in Fig. 1). Figure 1 Stratified analysis of the association between choline from phosphatidylcholine (per 100 mg/day) and risk of T2D, adjusted for age (months), BMI (kg/m2), menopausal status (pre- or postmenopausal [never, past, or current menopausal hormone use], women only), family history of diabetes (yes/no), smoking status (never smoker, former smoker, current smoker [1–14, 15–24, or ≥25 cigarettes/day]), alcohol drinking (0, 0.1–4.9, 5.0–14.9, 15.0–19.9, 20.0–29.9, or ≥30 g/day), moderate/vigorous-intensity activities (0, 0.01–1.0, 1.0–3.5, 3.5–6.0, or ≥6 h/week), presence of hypertension and hypercholesterolemia (each yes/no), and dietary intakes of energy, cereal fiber, trans fat, coffee, ratio of polyunsaturated to saturated fat, sugar-sweetened beverages, and glycemic index (quintiles). 2Cut-off points, cohort-specific median values. We documented 7,063, 4,465, and 3,531 cases of T2D during the follow-ups of NHS (1984–2008), NHS II (1991–2011), and HPFS (1986–2010), respectively. Compared with people in the lowest quintiles of dietary phosphatidylcholine intakes, the multivariate-adjusted RR of T2D for those in the highest quintiles was 1.36 (95% CI 1.26–1.48) in NHS, 1.35 (95% CI 1.22–1.50) in NHS II, 1.28 (95% CI 1.14–1.44) in HPFS, and 1.34 (95% CI 1.27–1.42) in the pooled analysis. The association was 1.24 (95% CI 1.16–1.33) after further adjustment for the three major food sources (red meat, eggs, and seafoods) and 1.27 (95% CI 1.20–1.39) with all choline-containing components and betaine mutually adjusted. With an increase of 100 mg choline from phosphatidylcholine, the risk of T2D increased by 17% (95% CI 13–22). We did not observe significant interaction between phosphatidylcholine and age, BMI, or major dietary sources of phosphatidylcholine (P > 0.07 for all); the association was consistent in the subgroups (Fig. 1). Given the observational nature, our study alone could not prove causality. Similar to other observational studies, it was difficult to rule out residual confounding, even though we carefully controlled for the potential confounders in the analyses. In addition, measurement errors were inevitable in the estimates of food and nutrient intakes. Adjustment for energy intake and use of cumulatively average intake levels might reduce the magnitude of measurement errors to some extent. In summary, for the first time our study associated dietary intakes of phosphatidylcholine with incident T2D risk in multiple prospective cohorts with a large sample size, high rates of long-term follow-up, and detailed and repeated assessments of diet and lifestyle. Our findings lend support to dietary intervention strategies targeting dietary sources of gut microbiota metabolites in prevention of T2D.

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          Most cited references3

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          Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption.

          The reproducibility and validity of responses for 55 specific foods and beverages on a self-administered food frequency questionnaire were evaluated. One hundred and seventy three women from the Nurses' Health Study completed the questionnaire twice approximately 12 months apart and also recorded their food consumption for seven consecutive days, four times during the one-year interval. For the 55 foods, the mean of correlation coefficients between frequencies of intake for first versus second questionnaire was 0.57 (range = 0.24 for fruit punch to 0.93 for beer). The mean of correlation coefficients between the dietary records and first questionnaire was 0.44 (range = 0.09 for yellow squash to 0.83 for beer and tea) and between the dietary records and the second questionnaire was 0.52 (range = 0.08 for spinach to 0.90 for tea). Ratios of within- to between-person variance for the 55 foods were computed using the mean four one-week dietary records for each person as replicate measurements. For most foods this ratio was greater than 1.0 (geometric mean of ratios = 1.88), ranging from 0.25 (skimmed milk) to 14.76 (spinach). Correlation coefficients comparing questionnaire and dietary record for the 55 foods were corrected for the within-person variation (mean corrected value = 0.55 for dietary record versus first questionnaire and 0.66 versus the second). Mean daily amounts of each food calculated by the questionnaire and by the dietary record were also compared; the observed differences suggested that responses to the questionnaire tended to over-represent socially desirable foods. This analysis documents the validity and reproducibility of the questionnaire for measuring specific foods and beverages, as well as the large within-person variation for food intake measured by dietary records. Differences in the degree of validity for specific foods revealed in this type of analysis can be useful in improving questionnaire design and in interpreting findings from epidemiological studies that use the instrument.
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            Concentrations of choline-containing compounds and betaine in common foods.

            Choline is important for normal membrane function, acetylcholine synthesis and methyl group metabolism; the choline requirement for humans is 550 mg/d for men (Adequate Intake). Betaine, a choline derivative, is important because of its role in the donation of methyl groups to homocysteine to form methionine. In tissues and foods, there are multiple choline compounds that contribute to total choline concentration (choline, glycerophosphocholine, phosphocholine, phosphatidylcholine and sphingomyelin). In this study, we collected representative food samples and analyzed the choline concentration of 145 common foods using liquid chromatography-mass spectrometry. Foods with the highest total choline concentration (mg/100 g) were: beef liver (418), chicken liver (290), eggs (251), wheat germ (152), bacon (125), dried soybeans (116) and pork (103). The foods with the highest betaine concentration (mg/100 g) were: wheat bran (1339), wheat germ (1241), spinach (645), pretzels (237), shrimp (218) and wheat bread (201). A number of epidemiologic studies have examined the relationship between dietary folic acid and cancer or heart disease. It may be helpful to also consider choline intake as a confounding factor because folate and choline methyl donation can be interchangeable.
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              Formation of methylamines from ingested choline and lecithin.

              Humans ingest substantial amounts of choline and lecithin as part of common foods. Physicians have recently begun administering large doses of these compounds to individuals with neurological diseases. A significant fraction of ingested choline is destroyed by enzymes within gut bacteria, forming trimethylamine (TMA), dimethylamine (DMA) and monomethylamine (MMA). Some of these methylamines are eventually excreted into the urine, presumably after being absorbed and carried to the kidneys via the bloodstream. The methylamines formed after choline is eaten could be substrates for the formation of nitrosamines, which have marked carcinogenic activity. Twenty-seven millimoles of choline chloride, choline stearate or lecithin were administered to healthy human subjects. It was found that these treatments markedly increased the urinary excretion of TMA, DMA and MMA, with choline chloride having the greatest effect. Rats were treated with 2 mmol/kg b.wt. of choline chloride or lecithin, and it was found that these treatments significantly increased urinary TMA excretion and did not alter DMA or MMA excretion. Our choline chloride preparation contained no MMA, DMA or TMA; however, it was found that our choline stearate and all the commercially available lecithins tested were contaminated with methylamines. Prior removal of methylamines from our lecithin preparation minimized the effect of oral administration of this compound on methylamine excretion in urine of rats and humans.
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                Author and article information

                Journal
                Diabetes Care
                Diabetes Care
                diacare
                dcare
                Diabetes Care
                Diabetes Care
                American Diabetes Association
                0149-5992
                1935-5548
                February 2015
                10 January 2015
                : 38
                : 2
                : e13-e14
                Affiliations
                [1] 1Department of Nutrition, Harvard School of Public Health, Boston, MA
                [2] 2Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
                [3] 3Department of Epidemiology, Harvard School of Public Health, Boston, MA
                [4] 4Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
                Author notes
                Corresponding authors: Lu Qi, nhlqi@ 123456channing.harvard.edu , and Yanping Li, yanping@ 123456hsph.harvard.edu .
                Article
                2093
                10.2337/dc14-2093
                4302257
                25614692
                7bc697c4-8209-44f2-8562-a3677a3ff130
                © 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.
                History
                Page count
                Pages: 2
                Categories
                e-Letters: Observations

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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