Lipids of the oligodendroglial fraction in methylnitrosourea induced encephalopathy

Wender, M; Adamczewska-Goncerzewicz, Z; Goncerzewicz, A; Pankrac, J; Talkowska, D

doi:10.1016/s0232-1513(81)80012-6

Cited by 2 publications

(5 citation statements)

References 7 publications

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“…The observed increase of LPC 16:0 in the ischemic region (Figure 2C) is a biological consequence of ischemia, resulting in membrane degradation and generation of free fatty acids and LPC from PC. 20, 23–27, 48, 49 …”

Section: Resultsmentioning

confidence: 99%

“…2C) is a biological consequence of ischemia in which membrane degradation results in formation of free fatty acids and LPC from PC. 20,[23][24][25][26][27]48,49 Second, ion images of the standard normalized to TIC show increased signal intensity in the white matter regions of the tissue. This is due to matrix effects caused by differences in the molecular composition of the analyte mixture extracted from the white and the gray matter regions.…”

Section: Matrix Effects In Msimentioning

confidence: 95%

“…This increase of LPC may be a result of degradation of PC by phospholipase A 2 activated in ischemic tissue by the release of glutamate. 23–27 …”

Section: Introductionmentioning

confidence: 99%

“…This increase of LPC may be a result of degradation of PC by phospholipase A 2 activated in ischemic tissue by the release of glutamate. [23][24][25][26][27] Development of MSI approaches that account for matrix effects is critically important for obtaining accurate spatial localization of molecules in biological systems. Herein, we describe an approach that compensates for matrix effects in nanospray desorption electrospray ionization (nano-DESI) and enables accurate ambient imaging of tissue sections with minimal sample preparation.…”

mentioning

confidence: 99%

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Matrix effects in biological mass spectrometry imaging: identification and compensation

Lanekoff

Stevens

Stenzel-Poore

et al. 2014

Analyst

138

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Matrix effects in mass spectrometry imaging (MSI) may affect the observed molecular distribution in chemical and biological systems. In this study, we use mouse brain tissue of a middle cerebral artery occlusion (MCAO) stroke model to examine matrix effects in nanospray desorption electrospray ionization MSI (nano-DESI MSI). This is achieved by normalizing the intensity of the sodium and potassium adducts of endogenous phosphatidylcholine (PC) species to the intensity of the corresponding adduct of the PC standard supplied at a constant rate with the nano-DESI solvent. The use of MCAO model with an ischemic region localized to one hemisphere of the brain enables immediate comparison of matrix effects within one ion image. Furthermore, significant differences in sodium and potassium concentrations in the ischemic region in comparison with the healthy tissue allowed us to distinguish between two types of matrix effects. Specifically, we discuss matrix effects originating from variations in alkali metal concentrations and matrix effects originating from variations in the molecular composition of the tissue. Compensation for both types of matrix effects was achieved by normalizing the signals corresponding to endogenous PC to the signals of the standards. This approach, which does not introduce any complexity in sample preparation, efficiently compensates for signal variations resulting from differences in the local concentrations of sodium and potassium in tissue sections and from the complexity of the extracted analyte mixture derived from local variations in molecular composition.

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Section: Resultsmentioning

confidence: 99%

Section: Matrix Effects In Msimentioning

confidence: 95%

“…This increase of LPC may be a result of degradation of PC by phospholipase A 2 activated in ischemic tissue by the release of glutamate. 23–27 …”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Matrix effects in biological mass spectrometry imaging: identification and compensation

Lanekoff

Stevens

Stenzel-Poore

et al. 2014

Analyst

138

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“…Altogether, raft lipids have been demonstrated in the following types of amyloidosis: AA, ATTR, AL , AL , and previously in the prion protein-dependent amyloidosis APr (16). In addition, amyloid deposits are enriched in lyso-PC, free fatty acids, and CEs, i.e., lipids that occur rarely in biological membranes and accumulate characteristically in the course of tissue degradation or necrosis (31,32). Although such degrading processes have only small effects on the main membrane lipids, such as SM and CH (32), we believe, based on the CE and lyso-PC content, that they represent an additional factor affecting the clinical deposition of amyloid.…”

Section: Discussionmentioning

confidence: 98%

Raft lipids as common components of human extracellular amyloid fibrils

Gellermann

Appel

Tannert

et al. 2005

Proc. Natl. Acad. Sci. U.S.A.

191

163

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Amyloid fibrils are fibrillar polypeptide aggregates from several degenerative human conditions, including Alzheimer's and Creutzfeldt-Jakob diseases. Analysis of amyloid fibrils derived from various human diseases (AA, ATTR, A␤2M, AL , and AL amyloidosis) shows that these are associated with a common lipid component that has a conserved chemical composition and that is specifically rich in cholesterol and sphingolipids, the major components of cellular lipid rafts. This pattern is not notably affected by the purification procedure, and no tight lipid interactions can be detected when preformed fibrils are mixed with lipids. By contrast, the early and prefibrillar aggregates formed in an AA amyloidproducing cell system interact with the raft marker ganglioside-1, and amyloid formation is impaired by addition of cholesterolreducing agents. These data suggest the existence of common cellular mechanisms in the generation of different types of clinical amyloid deposits.protein folding ͉ prion ͉ lipid rafts

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Lipids of the oligodendroglial fraction in methylnitrosourea induced encephalopathy

Cited by 2 publications

References 7 publications

Matrix effects in biological mass spectrometry imaging: identification and compensation

Matrix effects in biological mass spectrometry imaging: identification and compensation

Raft lipids as common components of human extracellular amyloid fibrils

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