Xianlin Han

Alzheimer’s disease (AD) is the most common cause of dementia in the aging population. Prior work has shown that the ε4 allele of apolipoprotein E (apoE4) is a major risk factor for “sporadic” AD, which accounts for >99% of AD cases without a defined underlying mechanism. Recently, we have demonstrated that sulfatides are substantially and specifically depleted at the very early stage of AD. To identify the mechanism(s) of sulfatide loss concurrent with AD onset, we have found that: (1) sulfatides are specifically associated with apoE-associated particles in cerebrospinal fluid (CSF); (2) apoE modulates cellular sulfatide levels; and (3) the modulation of sulfatide content is apoE isoform dependent. These findings not only lead to identification of the potential mechanisms underlying sulfatide depletion at the earliest stages of AD but also serve as mechanistic links to explain the genetic association of apoE4 with AD. Moreover, our recent studies further demonstrated that (1) apoE mediates sulfatide depletion in amyloid-β precursor protein transgenic mice; (2) sulfatides enhance amyloid β (Aβ) peptides binding to apoE-associated particles; (3) Aβ42 content notably correlates with sulfatide content in CSF; (4) sulfatides markedly enhance the uptake of Aβ peptides; and (5) abnormal sulfatide-facilitated Aβ uptake results in the accumulation of Aβ in lysosomes. Collectively, our studies clearly provide a link between apoE, Aβ, and sulfatides in AD and establish a foundation for the development of effective therapeutic interventions for AD.

This article presents the strategies underlying the automated identification and quantification of individual lipid molecular species through array analysis of multidimensional mass spectrometry-based shotgun lipidomics (MDMS-SL) data, which are acquired directly from lipid extracts after direct infusion and intrasource separation. The automated analyses of individual lipid molecular species in the program employ a strategy in which MDMS-SL data from building block analyses using precursor ion scans, neutral loss scans, or both are used to identify individual molecular species, followed by quantitation. Through this strategy, the program screens and identifies species in a high-throughput fashion from a built-in database of over 36 000 potential lipid molecular species constructed employing known building blocks. The program then uses a two-step procedure for quantitation of the identified species possessing a linear dynamic range over 3 orders of magnitude and reverifies the results when necessary through redundant quantification of multidimensional mass spectra. This program is designed to be easily adaptable for other shotgun lipidomics approaches that are currently used for mass spectrometric analysis of lipids. Accordingly, the development of this program should greatly accelerate high-throughput analysis of lipids using MDMS-based shotgun lipidomics.

Sphingolipidomics, a branch of lipidomics, focuses on the large‐scale study of the cellular sphingolipidomes. In the current review, two main approaches for the analysis of cellular sphingolipidomes (i.e. LC‐MS‐ or LC‐MS/MS‐based approach and shotgun lipidomics‐based approach) are briefly discussed. Their advantages, some considerations of these methods, and recent applications of these approaches are summarized. It is the authors' sincere hope that this review article will add to the readers understanding of the advantages and limitations of each developed method for the analysis of a cellular sphingolipidome.