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DOI 10.1016/j.diabres.2020.108548

Медицинская библиотека · Diabetes research and clinical practice · 2020

Nuclear magnetic resonance-based metabolomic analysis in the assessment of preclinical atherosclerosis in type 1 diabetes and preeclampsia.

Amor Antonio J, Vinagre Irene, Valverde Maite, Urquizu Xavier, Meler Eva, López Eva, Alonso Nuria, Pané Adriana, Giménez Marga, Codina Laura, Conget Ignacio, Barahona Maria J, Perea Verónica

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Аннотация

AIMS: Evaluate the role of plasma metabolomics in atherosclerosis according to the presence of type 1 diabetes (T1D) or previous preeclampsia.

METHODS

We recruited 105 women without cardiovascular disease and last pregnancy ≥5 years previously, divided according to the presence of T1D or previous preeclampsia. Preclinical atherosclerosis was defined as the presence of carotid plaque (intima-media thickness ≥1.5 mm) assessed by ultrasonography. Metabolomics were evaluated by nuclear magnetic resonance (NMR). Bivariate and multivariate-adjusted differences in NMR-metabolomics were evaluated.

RESULTS

The participants were 44.9 ± 8.1 years-old; 20% harbored plaques. There were significant differences in lipidic-, energetic- and nitrogen-related metabolites according to the presence of T1D/preeclampsia (p < 0.05). In multivariate-adjusted models (by age, statins, blood pressure and T1D/preeclampsia), only lipidomic-related metabolites were associated with atherosclerosis in the whole sample. However, stronger associations were observed in women with previous preeclampsia (vs. without; per 0.5 mmol/L increments); phosphatidylcholine, OR 4.08 (1.32-27.22); free cholesterol, 5.18 (1.22-21.97); saturated fatty acids, OR 2.99 (1.37-6.48); w-7, OR 2.29 (1.15-4.56); and w-9 fatty acids, OR 1.49 (1.00-2.23).

CONCLUSIONS

NMR-metabolomics showed a differential pattern according to the presence of T1D/preeclampsia in relation to preclinical atherosclerosis. Since most of these metabolites mirror lifestyle factors, they could help tailor dietetic advice in high-risk women.

Для цитирования: Amor Antonio J, Vinagre Irene, Valverde Maite, Urquizu Xavier, Meler Eva, López Eva, Alonso Nuria, Pané Adriana, Giménez Marga, Codina Laura, Conget Ignacio, Barahona Maria J, Perea Verónica. Nuclear magnetic resonance-based metabolomic analysis in the assessment of preclinical atherosclerosis in type 1 diabetes and preeclampsia.. Diabetes research and clinical practice. 2020. DOI: 10.1016/j.diabres.2020.108548.

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