URL: https://clinicaltrials.gov. Unique identifier: NCT00145925.

Lipidomic approaches are now widely used to investigate the relationship between lipid metabolism, health and disease. Large-scale lipidomics studies typically aim to quantify hundreds to thousands of lipid molecular species in a large number of samples. Consequently, high throughput methodology that can efficiently extract a wide range of lipids from biological samples is required. Current methods often rely on extraction in chloroform:methanol with or without two phase partitioning or other solvents, which are often incompatible with liquid chromatography electrospray ionization-tandem mass spectrometry (LC ESI-MS/MS). Here, we present a fast, simple extraction method that is suitable for high throughput LC ESI-MS/MS. Plasma (10 μL) was mixed with 100 μL 1-butanol:methanol (1:1 v/v) containing internal standards resulting in efficient extraction of all major lipid classes (including sterols, glycerolipids, glycerophospholipids and sphingolipids). Lipids were quantified using positive-ion mode LC ESI-MS/MS. The method showed high recovery (>90%) and reproducibility (%CV < 20%). It showed a strong correlation of all lipid measures with an established chloroform:methanol extraction method (R2 = 0.976). This method uses non-halogenated solvents, requires no drying or reconstitution steps and is suitable for large-scale LC ESI-MS/MS-based lipidomic analyses in research and clinical laboratories.

Bristol-Myers Squibb, the National Health and Medical Research Council of Australia (grants 211086, 358395, and 1029754), and the Operational Infrastructure Support Program of the Victorian government of Australia.

URL: http://www.clinicaltrials.gov. Unique identifier: NCT00163943.

Conflict of interest: PJM has licensed lipid biomarkers to Zora Biosciences. A patent relating to the method of predicting drug therapeutic responder status and methods of treatment has been filed (PCT/AU2018/051371).

The incidence of atrial fibrillation (AF) is higher in patients with diabetes. The goal of this study was to assess if the addition of plasma lipids to traditional risk factors could improve the ability to detect and predict future AF in patients with type 2 diabetes. Logistic regression models were used to identify lipids associated with AF or future AF from plasma lipids (n = 316) measured from participants in the ADVANCE trial (n = 3,772). To gain mechanistic insight, follow-up lipid analysis was undertaken in a mouse model that has an insulin-resistant heart and is susceptible to AF. Sphingolipids, cholesteryl esters, and phospholipids were associated with AF prevalence, whereas two monosialodihexosylganglioside (GM3) ganglioside species were associated with future AF. For AF detection and prediction, addition of six and three lipids, respectively, to a base model (n = 12 conventional risk factors) increased the C-statistics (detection: from 0.661 to 0.725; prediction: from 0.674 to 0.715) and categorical net reclassification indices. The GM3(d18:1/24:1) level was lower in patients in whom AF developed, improved the C-statistic for the prediction of future AF, and was lower in the plasma of the mouse model susceptible to AF. This study demonstrates that plasma lipids have the potential to improve the detection and prediction of AF in patients with diabetes.

No abstract

Background: Although several studies have reported on the prevalence of micronutrients in Saudi Arabia, most frequently vitamin D and iron, they are either old or hospital- or primary health care center-based. The objectives of our study were to provide more updated data on the prevalence rate of micronutrients deficiency among the Saudi general pediatric population and to determine if there is an association between micronutrients deficiency and undernutrition. Methods: The present study is part of a cross-sectional mass screening study, “Exploring the Iceberg of Celiacs in Saudi Arabia” conducted among school-aged children (6–16 years) in 2014–2015. A sample of 7,931 children aged 6–16 years was randomly selected. We identified thin children [body mass index (BMI) z-score <−2 SD, for age and gender], using the WHO reference 2007. A case-control study was performed, where the sera of 182 thin children (cases) and 393 normal BMI children (controls) were tested for levels of iron, ferritin, vitamin D, zinc, selenium, and copper. Results: The prevalence of thinness was 3.5%. The two most common micronutrients deficient among Saudi children with normal BMI were iron (20%) and vitamin D (78%). Vitamin D levels were significantly higher among boys as compared to girls (39.6 nmol/L vs. 31.15 nmol/L; P < 0.001). Deficiency of copper, zinc, and selenium occurred in 0.25%, 1%, and 7.4% of the children with normal BMI. Comparisons between the cases and controls did not show statistically significant differences. Conclusion: Vitamin D and iron deficiencies are still common forms of malnutrition in the Saudi community, that have remained unchanged over the past 20–30 years, while the intake of trace elements (zinc, copper, and selenium) is adequate as evident by normal serum levels in the vast majority of the investigated children. We could not observe a correlation between undernutrition and micronutrient deficiencies.