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@ARTICLE{FernandezFlores:281833,
      author       = {Fernandez Flores, Leticia Camila and Younas, Neelam and
                      Goebel, Stefan and Dittmar, Kathrin and Saleem, Tayyaba and
                      Younas, Abrar and Budde, Holger and Legler, Tobias J and
                      Möbius, Wiebke and Hermann, Peter and Schmitz, Matthias and
                      Zerr, Inga},
      title        = {{M}ultiple {A}ntibody-{C}oated {G}old
                      {N}anoparticle-{B}ased {E}xo{A}ssay for {R}apid {I}solation
                      of {CNS}-{S}pecific {E}xosomes {F}rom {B}lood.},
      journal      = {Journal of neurochemistry},
      volume       = {169},
      number       = {10},
      issn         = {0022-3042},
      address      = {Oxford},
      publisher    = {Wiley-Blackwell},
      reportid     = {DZNE-2025-01214},
      pages        = {e70263},
      year         = {2025},
      abstract     = {In neurodegenerative diseases, brain-derived extracellular
                      vesicles (EVs)/exosomes from blood offer a great opportunity
                      to explore their contents for their utility as biomarkers.
                      However, the conventional methodologies for the purification
                      of EVs from complex biofluids have many limitations,
                      restricting their clinical implementation. We aimed to
                      optimize a direct, less time-consuming, affordable, and
                      reliable nanowire-based method to isolate neuronal EVs from
                      blood plasma. Here, we improved a simple and direct
                      methodology using multiple antibody-coated magnetic
                      nanowires for efficient and rapid isolation of neuronal EVs
                      (ExoAssay) from human plasma. We characterized the isolated
                      EVs and validated the protocol using multiple approaches,
                      for example, nanoparticle tracking analysis (NTA),
                      immunoblotting, and transmission electron microscopy (TEM).
                      We purified round-shaped EVs with an average size of 116 nm.
                      We identified the general markers of EVs including CD9,
                      CD63, CD81, and Flotillin-1 and two neuronal EV markers
                      L1-cell adhesion molecule (L1CAM) and neural cell adhesion
                      molecule (NCAM) via immunoblotting. Interestingly, the
                      levels of T-Tau and P-Tau were upregulated in EVs isolated
                      from Alzheimer's patients (n = 30), in comparison with
                      healthy controls. Furthermore, there were no significant
                      differences between CSF- and EV-based Tau levels. The
                      high-throughput mass-spectrometry analysis of isolated EVs
                      revealed 280 proteins as significantly modified in
                      Alzheimer's disease cases in comparison with controls. The
                      presented nanotechnology-based methodology offers an
                      innovative and efficient tool for EV-based biomarker
                      investigations and clinical utility by simplifying the
                      enrichment of CNS-originated exosomes from complex
                      biological fluids. This methodology opens up the avenue for
                      longitudinal monitoring of important disease-related
                      proteins in the brain by analysis of brain-derived EVs from
                      blood plasma using simple blood withdrawal.},
      keywords     = {Alzheimer's disease (Other) / ExoAssay (Other) / biomarkers
                      (Other) / neuronal EVs (Other) / plasma (Other) / tau
                      (Other)},
      cin          = {AG Zerr},
      ddc          = {610},
      cid          = {I:(DE-2719)1440011-1},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41147537},
      doi          = {10.1111/jnc.70263},
      url          = {https://pub.dzne.de/record/281833},
}