Alzheimer’s disease (AD) is the most prevalent form of dementia affecting the elderly, and as the aging population increases the social and economic burden of AD grows substantially. Pathological hallmarks of AD include the accumulation of extracellular amyloid plaques and intracellular neurofibrillary tangles (NFTs), as well as significant neuron loss. Amyloid plaques consist of aggregated amyloid beta (Aβ) peptide, which is generated from the proteolytic processing of amyloid precursor protein (APP) in addition to several other peptides. While the processing of APP has been characterized, its primary physiological function and its involvement in AD pathology are poorly understood. Developing a greater understanding of the function of APP, and the molecular and cellular functions it is involved in or other proteins it is associated with, could provide insight into its role in AD pathology. To investigate the function of APP695, the neuronal isoform of APP, we used mass spectrometry to compare changes in protein expression and phosphorylation between APP-null B103 and APP695-expressing B103-695 rat neuroblastoma cells. Mass spectrometry-based proteomics has become a powerful technique for the unbiased identification of proteins from complex mixtures. Quantitative proteomics using labeling techniques, such as stable isotope labeling by amino acids in cell culture (SILAC), allow relative quantitation of multiple samples at once. More recently, with advances in mass spectrometer technology, label-free quantitation has become a reliable quantitative proteomics approach. Additionally, mass spectrometry can be used for the analysis of post-translational modifications, such as phosphorylation, a dynamic modification involved in the regulation of many cellular processes. Phosphoproteomics identifies site-specific phosphorylation and surrounding sequence information, which can be used for consensus motif analysis to provide further information about potential changes in kinase activity. Identifying changes in phosphorylation and kinase activity also provides information about signaling pathways and functions that may be affected by APP695 expression. Comprehensive proteomic and phosphoproteomic datasets can be used to gain insight into the molecular mechanisms that may be regulated by APP695 expression, or involved in AD progression and pathology, leading to the development of novel therapeutic and preventative strategies for AD. Proteomic and phosphoproteomic analysis of B103 and B103-695 cells identified several significant protein expression and phosphorylation changes that may be mediated by APP695-expression. Global-scale proteomic analysis identified increased expression of Ras and ƴ-synuclein in B103-695 cells, which was further validated in human AD brain tissue. Phosphoproteomic analysis showed increased phosphorylation of Histone H4 at Ser47, and led to the investigation of PCTAIRE-2 (Cdk17), and PCTAIRE-3 (Cdk18) expression, which were all shown to be increased in AD transgenic mouse tissue, culture primary rat neurons treated with Aβ, as well as mild cognitive impairment (MCI) and AD human brain tissue. Label-free quantitative proteomics was used for the analysis of human brain tissue from the cortex of individuals affected by AD, MCI, Parkinson’s disease (PD), and progressive supranuclear palsy (PSP) compared to cognitively normal, control samples. A number of differentially expressed proteins were identified in AD, MCI, PD, and PSP tissue. Bioinformatic analysis of the comprehensive proteomic datasets from AD, MCI, PD, and PSP human brain tissue identified several proteins consistent with corresponding disease pathology and neurodegeneration, such as inflammatory proteins. While some of the molecular and cellular functions were unique among neurodegenerative diseases, there also appears to be overlap of affected functions, suggesting there may be a more common mechanism of neurodegeneration.

PANcreatic DERived factor (PANDER, FAM3B) is a member of a superfamily of FAM3 proteins that are uniquely structured and strongly expressed from the endocrine pancreas and co-secreted with insulin. Unique animal models available to our lab have indicated that PANDER can induce a selective hepatic insulin resistant (SHIR) phenotype whereby insulin signaling is blunted yet lipogenesis is increased. The complexity of the biological networks involved with this process warranted the logical approach of employing quantitative mass spectrometry based proteomic analysis using stable isotope labeling of amino acids in cell culture (SILAC) to identify the global proteome differences between the PANDER transgenic (TG) overexpressing murine model to matched wild-type mice under three metabolic states (fasted, fed and insulin stimulated). Additionally, this technique was used to compare the hepatic proteome of mice on a high fat diet to elucidate early and late mechanisms of disease progression. The “spike-in” process was employed by equal addition of lysate obtained from livers of heavy L-Lysine (13C6, 97%) fed mice to the mice liver protein lysate (PANTG and WT) for relative quantitative analysis. Upon acquisition of the dataset by use of liquid chromatography tandem mass spectrometry (LC-MS/MS, LTQ Orbitrap), geometric means and Uniprot Protein identification numbers were uploaded to Ingenuity Pathway Analysis (IPA) to reveal the effect of PANDER on hepatic signaling. IPA identified lipid metabolism and fatty acid synthesis as top cellular functions differentially altered in all metabolic states. Several molecules with a role in lipid metabolism were identified and include FASN, ApoA1, ApoA4, SCD1, CD36, CYP7A1 and ACC. Furthermore, central to the differentially expressed proteins was the revealed activation of the liver X receptor (LXR) pathway. In summary, our SILAC proteomic approach has elucidated numerous previously unidentified PANDER induced molecules and pathways resulting in increased hepatic lipogenesis. In addition, we have demonstrated strong utility of this approach in comprehensively phenotyping animal models of hepatic insulin resistance. PANDER may potentially propagate pro-hepatic lipogenic effects by LXR activation in contrast to increased LXRα expression. This can be evaluated through the use of LXR agonists (T0901317) antagonists (GSK 2033). LXR activity can be measured by luciferase assays using an LXRE response plasmid. Our central hypothesis is that PANDER induces activation of LXR and is measured and predicted in our line of experiments. In general, PANDER induced LXR activation will be enhanced by T0901317 and diminish effects of GSK 2033 along with direct correlation of downstream metabolic effects such as increased hepatic lipogenesis and fatty acid metabolism. Taken together, PANDER strongly impacts hepatic lipid metabolism and may induce a SHIR phenotype via the LXR pathway. Additionally, phosphoproteomic analysis uncovered large-scale differences in protein phosphorylation states as PANDER impacts insulin signaling. A notable finding was the increased phosphorylation of glycogen synthase (GSK), possibly responsible for the decreased hepatic glycogen content in the PANTG mouse. In an effort to map out critical molecules involved in non-alcoholic fatty liver disease (NAFLD) pathogenesis, the same proteomic approach was carried out, providing a unique dataset of differentially expressed hepatic proteins due to a high at diet.

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京都大学 / 新制・課程博士 / 博士(工学) / 甲第23919号 / 工博第5006号 / 新制||工||1781(附属図書館) / 京都大学大学院工学研究科分子工学専攻 / (主査)教授 今堀 博, 教授 田中 庸裕, 教授 跡見 晴幸 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DGAM

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L’entérotoxine B staphylococcique (SEB) est une toxine entérique hautement résistante à la chaleur et est responsable de plus de 50 % des cas d’intoxication d’origine alimentaire par une entérotoxine. L’objectif principal de ce projet de maîtrise est de développer et valider une méthode basée sur des nouvelles stratégies analytiques permettant la détection et la quantification de SEB dans les matrices alimentaires. Une carte de peptides tryptiques a été produite et 3 peptides tryptiques spécifiques ont été sélectionnés pour servir de peptides témoins à partir des 9 fragments protéolytiques identifiés (couverture de 35 % de la séquence). L’anhydride acétique et la forme deutérée furent utilisés afin de synthétiser des peptides standards marqués avec un isotope léger et lourd. La combinaison de mélanges des deux isotopes à des concentrations molaires différentes fut utilisée afin d’établir la linéarité et les résultats ont démontré que les mesures faites par dilution isotopique combinée au CL-SM/SM respectaient les critères généralement reconnus d’épreuves biologiques avec des valeurs de pente près de 1, des valeurs de R2 supérieure à 0,98 et des coefficients de variation (CV%) inférieurs à 8 %. La précision et l’exactitude de la méthode ont été évaluées à l’aide d’échantillons d’homogénat de viande de poulet dans lesquels SEB a été introduite. SEB a été enrichie à 0,2, 1 et 2 pmol/g. Les résultats analytiques révèlent que la méthode procure une plage d’exactitude de 84,9 à 91,1 %. Dans l’ensemble, les résultats présentés dans ce mémoire démontrent que les méthodes protéomiques peuvent être utilisées efficacement pour détecter et quantifier SEB dans les matrices alimentaires. Mots clés : spectrométrie de masse; marquage isotopique; protéomique quantitative; entérotoxines / Staphylococcal enterotoxin B is a highly heat-resistant enteric toxin and it is responsible for over 50% of enterotoxin food poisoning. It represents a particular challenge during food processing since, even if the bacteria have been destroyed, the biological activity of the toxin remains unchanged. The objective of this study was to develop and validate a new method based on a novel proteomic strategy to detect and quantify SEB in food matrices. Tryptic peptide map was generated and 3 specific tryptic peptides were selected and used as surrogate peptides from 9 identified proteolytic fragments (sequence coverage of 35%). Peptides were label with light and heavy form of acetic anhydride to create an isobaric tag that will allow quantification. The linearity was tested using mixtures of different molar ratios and the results showed that measurements by LC-MS/MS were within generally accepted criteria for bioassays with slope values near to 1, values of R2 above 0.98 and less than 8% coefficient of variation (%CV). The precision and accuracy of the method were assessed using chicken meat homogenate samples spiked with SEB at 0.2, 1 and 2 pmol/g. The results indicated that the method can provide accuracy within 84.9 – 91.1% range. Overall, the results presented in this thesis show that proteomics-based methods can be effectively used to detect, confirm and quantify SEB in food matrices. Keywords: mass spectrometry; stable isotope labeling; quantitative proteomics; enterotoxins

L’entérotoxine B staphylococcique (SEB) est une toxine entérique hautement résistante à la chaleur et est responsable de plus de 50 % des cas d’intoxication d’origine alimentaire par une entérotoxine. L’objectif principal de ce projet de maîtrise est de développer et valider une méthode basée sur des nouvelles stratégies analytiques permettant la détection et la quantification de SEB dans les matrices alimentaires. Une carte de peptides tryptiques a été produite et 3 peptides tryptiques spécifiques ont été sélectionnés pour servir de peptides témoins à partir des 9 fragments protéolytiques identifiés (couverture de 35 % de la séquence). L’anhydride acétique et la forme deutérée furent utilisés afin de synthétiser des peptides standards marqués avec un isotope léger et lourd. La combinaison de mélanges des deux isotopes à des concentrations molaires différentes fut utilisée afin d’établir la linéarité et les résultats ont démontré que les mesures faites par dilution isotopique combinée au CL-SM/SM respectaient les critères généralement reconnus d’épreuves biologiques avec des valeurs de pente près de 1, des valeurs de R2 supérieure à 0,98 et des coefficients de variation (CV%) inférieurs à 8 %. La précision et l’exactitude de la méthode ont été évaluées à l’aide d’échantillons d’homogénat de viande de poulet dans lesquels SEB a été introduite. SEB a été enrichie à 0,2, 1 et 2 pmol/g. Les résultats analytiques révèlent que la méthode procure une plage d’exactitude de 84,9 à 91,1 %. Dans l’ensemble, les résultats présentés dans ce mémoire démontrent que les méthodes protéomiques peuvent être utilisées efficacement pour détecter et quantifier SEB dans les matrices alimentaires. Mots clés : spectrométrie de masse; marquage isotopique; protéomique quantitative; entérotoxines / Staphylococcal enterotoxin B is a highly heat-resistant enteric toxin and it is responsible for over 50% of enterotoxin food poisoning. It represents a particular challenge during food processing since, even if the bacteria have been destroyed, the biological activity of the toxin remains unchanged. The objective of this study was to develop and validate a new method based on a novel proteomic strategy to detect and quantify SEB in food matrices. Tryptic peptide map was generated and 3 specific tryptic peptides were selected and used as surrogate peptides from 9 identified proteolytic fragments (sequence coverage of 35%). Peptides were label with light and heavy form of acetic anhydride to create an isobaric tag that will allow quantification. The linearity was tested using mixtures of different molar ratios and the results showed that measurements by LC-MS/MS were within generally accepted criteria for bioassays with slope values near to 1, values of R2 above 0.98 and less than 8% coefficient of variation (%CV). The precision and accuracy of the method were assessed using chicken meat homogenate samples spiked with SEB at 0.2, 1 and 2 pmol/g. The results indicated that the method can provide accuracy within 84.9 – 91.1% range. Overall, the results presented in this thesis show that proteomics-based methods can be effectively used to detect, confirm and quantify SEB in food matrices. Keywords: mass spectrometry; stable isotope labeling; quantitative proteomics; enterotoxins