An Analytical Method to Monitor Dietary Fat Intake

For this purpose, they turned to the advanced analytical technique known as multisegment injection-non-aqueous-capillary electrophoresis–mass spectrometry or MSI-NACE-MS.

Capillary electrophoresis-mass spectrometry (CE-MS), is a high efficiency microseparation platform that is ideal for analysis of a broad range of ionic metabolites in volume-restricted or mass-limited biological specimens. Selectivity in CE is based on differences in the electrophoretic mobility of metabolites in aqueous or non-aqueous buffer conditions that can be predicted accurately based on their physicochemical properties, which is coupled to an electrospray ionization (ESI) source prior to high resolution, accurate mass analysis.

The method includes sequential injection of multiple sample segments in series within a single capillary, the sample segments being separated by a spacer plug of buffer, and multiplexed analysis of the sample segments simultaneously within a single capillary electrophoresis run. Classes of metabolites optimal to CE-MS include amino acids, biogenic amines, organic acids, nucleotides, sugar phosphates, acylcarnitines, acylglycines, fatty acids, and various drugs/exogenous compounds that often require minimal sample pretreatment while using small volumes (five to 20 microliters) of biological samples (e.g., urine, plasma, sweat, tissue biopsies), including dried blood spots cut-out on filter paper.

For the current study, the investigators used MSI-NACE-MS to investigate whether specific serum non-esterified fatty acids (NEFA) would have utility as biomarkers of dietary fat intake in women. Initially, they identified circulating NEFAs that correlated with long-term/habitual food intake among 50 pregnant women with contrasting dietary patterns. Acute changes in serum NEFA trajectories were also studied in 18 non-pregnant women following high-dose (five grams/day) fish oil supplementation or sunflower oil placebo over 56 days.

Results from the cohort of pregnant women revealed that serum omega-3 fatty acid correlated with self-reported total omega-3 daily intake, notably eicosapentaenoic acid (EPA) as its NEFA, whereas pentadecanoic acid was associated with full-fat dairy intake. These outcomes were consistent with results from total fatty acid serum hydrolysates.

In the intervention cohort, serum omega-3 NEFAs increased 2.5-fold from baseline within 28 days following fish oil supplementation, and this increase was most pronounced for EPA. Unlike for docosahexaenoic acid, circulating EPA, as its NEFA, also strongly correlated to EPA concentrations measured from erythrocyte phospholipid hydrolysates and was better suited to detect dietary non-adherence.

"The food we consume is highly complex and difficult to measure when relying on self-reporting or memory recall, particularly in the case of dietary fats. There are thousands of chemicals that we are exposed to in foods, both processed and natural. Epidemiologists need better ways to reliably assess dietary intake when developing nutritional recommendations," said senior author Dr. Philip Britz-McKibbin, professor of chemistry and chemical biology at McMaster University. "Fat intake is among the most controversial aspects of nutritional public health policies given previously flawed low-fat diet recommendations, and the growing popularity of low-carb/high-fat ketogenic based diets. If we can measure it reliably, we can begin to study such questions as: Should pregnant women take fish oil? Are women deficient in certain dietary fats? Does a certain diet or supplement lead to better health outcomes for their babies?"

The dietary fat study was published in the March 31, 2020, online edition of the Journal of Lipid Research.

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