Rapid liquid chromatography-tandem mass spectrometry to determine very-long-chain fatty acids in human and to establish reference intervals for the Chinese population

A simulated strategy for analysis of Short- to Long- chain fatty acids in mouse serum beyond chemical standards

Broadening coverage in fatty acid (FA) analysis benefits the understanding of metabolic regulation in biological system. However, the limited access of chemical standards makes it challenging. In this work, we introduced a simulation assisted strategy to analyze short-, medium-, long- and very-long-chain fatty acids beyond the use of chemical standards. This targeted analysis in selected reaction monitoring (SRM) mode incorporated 3-nitrophenylhydrazine derivatization and mathematical simulation of ion transitions, collision energies, RF values and retention times to identify and quantify the fatty acids without chemical standards. Serum analysis using high resolution mass spectrometry coupled with paired labeling was employed to refine the computational retention times. Based on the simulation, 116 free fatty acids from C1 to C24 were covered in a single analysis on use of 34 standard chemicals. Background interference is commonly observed in fatty acid analysis. For certain fatty acids, e.g. acetic acid or palmitic acid, reliable quantitation is largely restricted by contamination level instead of detection limit. Therefore, the background interference and quantifiable serum volume required for each fatty acid were also evaluated. At least 20 µL serum was suggested to cover most molecules. Using this approach, a total of 66 free fatty acids with various chain lengths and saturations were detected in NTCP knockout mice serum, of which 34 FAs were confirmed by chemical standards and 32 FAs were potentially assigned based on the simulation. Gender dependent fatty acid regulation was observed by NTCP knockout. This work provides a unique strategy that enables to broaden the fatty acid coverage with the absence of chemical standards and is applicable to other derivatizations.

HPLC with spectrophotometric or mass spectrometric detection for quantifying very-long chain fatty acids in human plasma and its association with cardiac risk factors

BACKGROUND

We developed and compared two liquid chromatography methods, one with UV/Visible spectrophotometric detection (HPLC) and the other with mass spectrometric detection (LC-MS), for quantifying very-long chain fatty acids (VLCFA) in human plasma. Association of VLCFA with various cardiovascular risk factors were evaluated.

METHOD

Fasting blood samples were collected from 541 human volunteers (242 men and 299 women; mean age ±SD, 58.9 ± 12.4 years), including 429 and 112 individuals with and without hypertriglyceridemia, respectively. Esterified VLCFA were saponified and derivatized with 2-nitrophenylhydrazine. Separation of VLCFA species was achieved with C4 Mightysil column (HPLC) and Ascentis Express Phenyl-Hexyl column (LC-MS) followed by spectrophotometric and selected-reaction monitoring mode of mass spectrometric detection, respectively.

RESULTS

The HPLC assay of VLCFA was precise with intra-assay imprecision of 2.5% to 6.9% and inter-assay imprecision of 3.2% to 9.5%. Moreover, there was an excellent correlation (r > 0.96) between HPLC and LC-MS methods. The 95 percentile reference intervals (RI; upper limit) of VLCFA were determined to be 41.3 µmol/L in healthy volunteers. Plasma VLCFA were significantly correlated with triglycerides (Spearman's ρ = 0.306, P < 0.001) and total cholesterol (Spearman's ρ = 0.251, P < 0.001). All species of VLCFA were significantly elevated in hypertriglyceridaemic individuals compared with control.

CONCLUSION

We established LC-based assays of VLCFA with either spectrophotometry or mass spectrometry as a detection system. Hypertriglyceridaemia is significantly associated with elevated concentration of each species of VLCFA.