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  • 1.
    Andersson, Annika
    et al.
    KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science.
    Remnestål, Julia
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Affinity Proteomics. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Nellgård, B.
    Vunk, Helian
    KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science.
    Kotol, David
    KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science.
    Edfors, Fredrik
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Uhlén, Mathias
    KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science.
    Schwenk, Jochen M.
    KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science.
    Ilag, L. L.
    Zetterberg, H.
    Blennow, K.
    Månberg, Anna
    KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science.
    Nilsson, Peter
    KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science.
    Fredolini, Claudia
    KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Affinity Proteomics.
    Development of parallel reaction monitoring assays for cerebrospinal fluid proteins associated with Alzheimer's disease2019In: Clinica Chimica Acta, ISSN 0009-8981, E-ISSN 1873-3492, Vol. 494, p. 79-93Article in journal (Refereed)
    Abstract [en]

    Detailed knowledge of protein changes in cerebrospinal fluid (CSF) across healthy and diseased individuals would provide a better understanding of the onset and progression of neurodegenerative disorders. In this study, we selected 20 brain-enriched proteins previously identified in CSF by antibody suspension bead arrays (SBA) to be potentially biomarkers for Alzheimer's disease (AD) and verified these using an orthogonal approach. We examined the same set of 94 CSF samples from patients affected by AD (including preclinical and prodromal), mild cognitive impairment (MCI), non-AD dementia and healthy individuals, which had previously been analyzed by SBA. Twenty-eight parallel reaction monitoring (PRM) assays were developed and 13 of them could be validated for protein quantification. Antibody profiles were verified by PRM. For seven proteins, the antibody profiles were highly correlated with the PRM results (r > 0.7) and GAP43, VCAM1 and PSAP were identified as potential markers of preclinical AD. In conclusion, we demonstrate the usefulness of targeted mass spectrometry as a tool for the orthogonal verification of antibody profiling data, suggesting that these complementary methods can be successfully applied for comprehensive exploration of CSF protein levels in neurodegenerative disorders.

  • 2.
    Khoonsari, Payam Emami
    et al.
    Uppsala Univ, Dept Med Sci, Clin Chem, Uppsala, Sweden..
    Shevchenko, Ganna
    Uppsala Univ, Dept Chem BMC, Analyt Chem, Uppsala, Sweden..
    Herman, Stephanie
    Uppsala Univ, Dept Med Sci, Clin Chem, Uppsala, Sweden..
    Remnestål, Julia
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Affinity Proteomics.
    Giedraitis, Vilmantas
    Uppsala Univ, Dept Publ Hlth & Caring Sci Geriatr, Uppsala, Sweden..
    Brundin, RoseMarie
    Uppsala Univ, Dept Publ Hlth & Caring Sci Geriatr, Uppsala, Sweden..
    Gunnarsson, Malin Degerman
    Uppsala Univ, Dept Publ Hlth & Caring Sci Geriatr, Uppsala, Sweden..
    Kilander, Lena
    Uppsala Univ, Dept Publ Hlth & Caring Sci Geriatr, Uppsala, Sweden..
    Zetterberge, Henrik
    Univ Gothenburg, Sahlgrenska Acad, Inst Neurosci & Physiol, Dept Psychiat & Neurochem, Molndal, Sweden.;Sahlgrens Univ Hosp, Clin Neurochem Lab, Molndal, Sweden.;UK Dementia Res Inst UCL, London, England.;UCL Inst Neurol, Dept Mol Neurosci, Queen Sq, London, England..
    Nilsson, Peter
    KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Lannfelt, Lars
    Uppsala Univ, Dept Publ Hlth & Caring Sci Geriatr, Uppsala, Sweden..
    Ingelsson, Martin
    Uppsala Univ, Dept Publ Hlth & Caring Sci Geriatr, Uppsala, Sweden..
    Kultima, Kim
    Uppsala Univ, Dept Med Sci, Clin Chem, Uppsala, Sweden..
    Improved Differential Diagnosis of Alzheimer's Disease by Integrating ELISA and Mass Spectrometry-Based Cerebrospinal Fluid Biomarkers2019In: Journal of Alzheimer's Disease, ISSN 1387-2877, E-ISSN 1875-8908, Vol. 67, no 2, p. 639-651Article in journal (Refereed)
    Abstract [en]

    Background: Alzheimer's disease (AD) is diagnosed based on a clinical evaluation as well as analyses of classical biomarkers: A beta(42), total tau (t-tau), and phosphorylated tau (p-tau) in cerebrospinal fluid (CSF). Although the sensitivities and specificities of the classical biomarkers are fairly good for detection of AD, there is still a need to develop novel biochemical markers for early detection of AD. Objective: We explored if integration of novel proteins with classical biomarkers in CSF can better discriminate AD from non-AD subjects. Methods: We applied ELISA, mass spectrometry, and multivariate modeling to investigate classical biomarkers and the CSF proteome in subjects (n = 206) with 76 AD patients, 74 mild cognitive impairment (MCI) patients, 11 frontotemporal dementia (FTD) patients, and 45 non-dementia controls. The MCI patients were followed for 4-9 years and 21 of these converted to AD, whereas 53 remained stable. Results: By combining classical CSF biomarkers with twelve novel markers, the area of the ROC curves (AUROCS) of distinguishing AD and MCl/AD converters from non-AD were 93% and 96%, respectively. The FTDs and non-dementia controls were identified versus all other groups with AUROCS of 96% and 87%, respectively. Conclusions: Integration of new and classical CSF biomarkers in a model-based approach can improve the identification of AD, FTD, and non-dementia control subjects.

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