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The electrophilic lipid oxidation product 4-hydroxy-2-nonenal (HNE) reacts with proteins to form covalent adducts, and this damage has been implicated in pathologies associated with oxidative stress. HNE adduction of blood proteins, such as human serum albumin (HSA), yields adducts that may serve as markers of oxidative stress in vivo. We used liquid chromatography-tandem mass spectrometry (LC-MS-MS) and the P-Mod algorithm to map the sites of 10 adducts formed by reaction of HNE with HSA in vitro. The detected adducts included Michael adducts formed at histidine and lysine residues. The selectivity of HNE in competing adduction reactions was evaluated by analysis of kinetics for HNE Michael adduction at six targeted HSA histidine residues. Reaction kinetics were analyzed by selected reaction monitoring in LC-MS-MS using stable isotope tagging with phenyl isocyanate. Rate constants ranged over 4 orders of magnitude, with the order of reactivity being H242 > H510 > H67 > H367 > H247 approximately K233. The most reactive target, H242, is located in a fatty acid- and drug binding cavity in subdomain IIa of HSA and appears to be a hot-spot for HNE modification. Analysis of adduction kinetics together with HSA structure and target residue pK(a) values suggest that location in the hydrophobic binding cavity and low predicted pK(a) of H242 account for its high reactivity toward HNE. H242 adducts may be preferred products of adduction by lipophilic electrophiles and may comprise a family of biomarkers for oxidative stress.

Malondialdehyde (MDA), a mutagenic product of lipid peroxidation, reacts with DNA to form the premutagenic lesion, pyrimido[1, 2-a]purin-10(3H)-one (M(1)G). M(1)G is present in normal human tissues, but the contribution of other endogenously produced MDA analogues is poorly understood. Oxidation of the DNA backbone can cause strand breaks and release base propenals, and MDA condensation with proteins yields N(epsilon)-oxopropenyllysine. Here we compare the M(1)G-forming ability and Salmonella typhimurium mutagenicity of MDA with adenine, thymine, and cytosine propenals and N(alpha)-acetyl-N(epsilon)-oxopropenyllysine methyl ester. Base propenals are 30-150 times more potent than MDA in M(1)G formation and are 30-60 times more mutagenic than MDA. In addition, the Fe-bleomycin complex, which generates base propenals, induced M(1)G, but gamma-radiation, which generates mostly MDA, did not. M(1)G formation by MDA and base propenals was concentration-dependent, time-dependent, and enhanced by acidic conditions. N(alpha)-Acetyl-N(epsilon)-oxopropenyllysine methyl ester was less reactive and less mutagenic than MDA. These differences in potency are consistent with differences in leaving group ability. This work supports a role for other MDA analogues, especially base propenals, in the formation of endogenous M(1)G adducts.

Lipids comprise the bulk of the dry mass of the brain. In addition to providing structural integrity to membranes, insulation to cells and acting as a source of energy, lipids can be rapidly converted to mediators of inflammation or to signaling molecules that control molecular and cellular events in the brain. The advent of soft ionization procedures such as electrospray ionization (ESI) and atmospheric pressure chemical ionization (APCI) have made it possible for compositional studies of the diverse lipid structures that are present in brain. These include phospholipids, ceramides, sphingomyelin, cerebrosides, cholesterol and their oxidized derivatives. Lipid analyses have delineated metabolic defects in disease conditions including mental retardation, Parkinson's Disease (PD), schizophrenia, Alzheimer's Disease (AD), depression, brain development, and ischemic stroke. In this review, we examine the structure of the major lipid classes in the brain, describe methods used for their characterization, and evaluate their role in neurological diseases. The potential utility of characterizing lipid markers in the brain, with specific emphasis on disease mechanisms, will be discussed. Additionally, we describe several proteomic strategies for characterizing lipid-metabolizing proteins in human cerebrospinal fluid (CSF). These proteins may be potential therapeutic targets since they transport lipids required for neuronal growth or convert lipids into molecules that control brain physiology. Combining lipidomics and proteomics will enhance existing knowledge of disease pathology and increase the likelihood of discovering specific markers and biochemical mechanisms of brain diseases.