At present, Alzheimer's disease is detected mainly using psychological tests, which can only confirm the disease in its more advanced phases. Therefore, bioanalytical possibilities for detecting this disease earlier are being investigated. To date, the results of analyses, which focus mainly on the study of lipids and proteins either in cerebrospinal fluid or much less often in blood plasma, do not provide satisfactory results. In addition, cerebrospinal fluid sampling is uncomfortable for the patients and involves many health risks. In this work, we deal with proteomic analysis using Matrix-Assisted Laser Desorption/Ionisation-Time of Flight and Liquid Chromatography coupled to tandem Mass Spectrometry of blood plasma with a focus on various ways of preanalytical sample treatments. This should lead to results improvement and facilitate the subsequent evaluation using principal component analysis and partial least squares discriminant analysis. The obtained results indicate the direction of further research, namely the study of interactions between proteins and lipids contained in blood plasma. These substances may be regarded as potential biomarkers allowing for the diagnosis of Alzheimer ́s disease even in its early stages.

Department of Analytical Chemistry University of Chemistry and Technology Prague Prague Czech Republic

Department of Biochemistry and Microbiology University of Chemistry and Technology Prague Prague Czech Republic

Department of Computing and Control Engineering University of Chemistry and Technology Prague Prague Czech Republic

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$a Smirnova, Tatiana Anatolievna $u Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Prague, Czech Republic $1 https://orcid.org/0000000327130721

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$a Comparison of proteomic approaches used for the detection of potential biomarkers of Alzheimer's disease in blood plasma / $c TA. Smirnova, A. Viskin, M. Hoskova, L. Habartova, V. Setnicka, P. Cejnar, S. Kuckova

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$a At present, Alzheimer's disease is detected mainly using psychological tests, which can only confirm the disease in its more advanced phases. Therefore, bioanalytical possibilities for detecting this disease earlier are being investigated. To date, the results of analyses, which focus mainly on the study of lipids and proteins either in cerebrospinal fluid or much less often in blood plasma, do not provide satisfactory results. In addition, cerebrospinal fluid sampling is uncomfortable for the patients and involves many health risks. In this work, we deal with proteomic analysis using Matrix-Assisted Laser Desorption/Ionisation-Time of Flight and Liquid Chromatography coupled to tandem Mass Spectrometry of blood plasma with a focus on various ways of preanalytical sample treatments. This should lead to results improvement and facilitate the subsequent evaluation using principal component analysis and partial least squares discriminant analysis. The obtained results indicate the direction of further research, namely the study of interactions between proteins and lipids contained in blood plasma. These substances may be regarded as potential biomarkers allowing for the diagnosis of Alzheimer ́s disease even in its early stages.

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$a Viskin, Anton $u Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Prague, Czech Republic

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$a Hoskova, Martina $u Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Prague, Czech Republic

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$a Habartova, Lucie $u Department of Analytical Chemistry, University of Chemistry and Technology Prague, Prague, Czech Republic

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$a Setnicka, Vladimir $u Department of Analytical Chemistry, University of Chemistry and Technology Prague, Prague, Czech Republic

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$a Cejnar, Pavel $u Department of Computing and Control Engineering, University of Chemistry and Technology Prague, Prague, Czech Republic

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$a Kuckova, Stepanka $u Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Prague, Czech Republic $1 https://orcid.org/0000000299747862 $7 xx0104243

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