% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Vogelgsang:271866,
      author       = {Vogelgsang, Jonathan and Hansen, Niels and Stark, Melina
                      and Wagner, Michael and Klafki, Hans and Morgado, Barbara
                      Marcos and Jahn-Brodmann, Anke and Schott, Björn and
                      Esselmann, Hermann and Bauer, Chris and Schuchhardt,
                      Johannes and Kleineidam, Luca and Wolfsgruber, Steffen and
                      Peters, Oliver and Schneider, Luisa-Sophie and Wang, Xiao
                      and Menne, Felix and Priller, Josef and Spruth, Eike Jakob
                      and Altenstein, Slawek and Lohse, Andrea and Schneider, Anja
                      and Fliessbach, Klaus and Vogt, Ina and Bartels, Claudia and
                      Jessen, Frank and Rostamzadeh, Ayda and Duezel, Emrah and
                      Glanz, Wenzel and Incesoy, Enise and Butryn, Michaela and
                      Buerger, Katharina and Janowitz, Daniel and Ewers, Michael
                      and Perneczky, Robert and Rauchmann, Boris Stephan and
                      Guersel, Selim and Teipel, Stefan and Kilimann, Ingo and
                      Goerss, Doreen and Laske, Christoph and Munk, Matthias and
                      Sanzenbacher, Carolin and Spottke, Annika and Roy-Kluth,
                      Nina and Heneka, Michael and Brosseron, Frederic and
                      Ramirez, Alfredo and Schmid, Matthias and Wiltfang, Jens},
      title        = {{P}lasma amyloid beta {X}-42/{X}-40 ratio and cognitive
                      decline in suspected early and preclinical {A}lzheimer's
                      disease.},
      journal      = {Alzheimer's and dementia},
      volume       = {20},
      number       = {8},
      issn         = {1552-5260},
      address      = {Hoboken, NJ},
      publisher    = {Wiley},
      reportid     = {DZNE-2024-01078},
      pages        = {5132 - 5142},
      year         = {2024},
      abstract     = {Blood-based biomarkers are a cost-effective and minimally
                      invasive method for diagnosing the early and preclinical
                      stages of amyloid positivity (AP). Our study aims to
                      investigate our novel immunoprecipitation-immunoassay
                      (IP-IA) as a test for predicting cognitive decline.We
                      measured levels of amyloid beta (Aβ)X-40 and AβX-42 in
                      immunoprecipitated eluates from the DELCODE cohort.
                      Receiver-operating characteristic (ROC) curves, regression
                      analyses, and Cox proportional hazard regression models were
                      constructed to predict AP by Aβ42/40 classification in
                      cerebrospinal fluid (CSF) and conversion to mild cognitive
                      impairment (MCI) or dementia.We detected a significant
                      correlation between AßX-42/X-40 in plasma and CSF (r =
                      0.473). Mixed-modeling analysis revealed a substantial
                      prediction of AßX-42/X-40 with an area under the curve
                      (AUC) of 0.81 for AP (sensitivity: 0.79, specificity: 0.74,
                      positive predictive value [PPV]: 0.71, negative predictive
                      value [NPV]: 0.81). In addition, lower AβX-42/X-40 ratios
                      were associated with negative PACC5 slopes, suggesting
                      cognitive decline.Our results suggest that assessing the
                      plasma AβX-42/X-40 ratio via our semiautomated IP-IA is a
                      promising biomarker when examining patients with early or
                      preclinical AD.New plasma Aβ42/Aβ40 measurement using
                      immunoprecipitation-immunoassay Plasma Aβ42/Aβ40
                      associated with longitudinal cognitive decline Promising
                      biomarker to detect subjective cognitive decline at-risk for
                      brain amyloid positivity.},
      keywords     = {Humans / Amyloid beta-Peptides: blood / Amyloid
                      beta-Peptides: cerebrospinal fluid / Alzheimer Disease:
                      blood / Alzheimer Disease: diagnosis / Alzheimer Disease:
                      cerebrospinal fluid / Cognitive Dysfunction: blood /
                      Cognitive Dysfunction: cerebrospinal fluid / Cognitive
                      Dysfunction: diagnosis / Male / Female / Aged / Biomarkers:
                      blood / Biomarkers: cerebrospinal fluid / Peptide Fragments:
                      blood / Peptide Fragments: cerebrospinal fluid / Middle Aged
                      / ROC Curve / Immunoprecipitation / Disease Progression /
                      Alzheimer's disease (Other) / MCI (Other) / amyloid beta
                      (Other) / biomarker (Other) / dementia (Other) / plasma
                      (Other) / Amyloid beta-Peptides (NLM Chemicals) / Biomarkers
                      (NLM Chemicals) / Peptide Fragments (NLM Chemicals) /
                      amyloid beta-protein (1-42) (NLM Chemicals) / amyloid
                      beta-protein (1-40) (NLM Chemicals)},
      cin          = {AG Wiltfang / AG Wagner / AG Peters / AG Priller / AG
                      Schneider / Patient Studies (Bonn) / AG Spottke / AG Jessen
                      / AG Düzel / Clinical Research (Munich) / AG Dichgans / AG
                      Teipel / AG Gasser / AG Heneka / AG Schmid Bonn},
      ddc          = {610},
      cid          = {I:(DE-2719)1410006 / I:(DE-2719)1011201 /
                      I:(DE-2719)5000000 / I:(DE-2719)5000007 / I:(DE-2719)1011305
                      / I:(DE-2719)1011101 / I:(DE-2719)1011103 /
                      I:(DE-2719)1011102 / I:(DE-2719)5000006 / I:(DE-2719)1111015
                      / I:(DE-2719)5000022 / I:(DE-2719)1510100 /
                      I:(DE-2719)1210000 / I:(DE-2719)1011303 /
                      I:(DE-2719)1013028},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pmc          = {pmc:PMC11350048},
      pubmed       = {pmid:38940303},
      doi          = {10.1002/alz.13909},
      url          = {https://pub.dzne.de/record/271866},
}