ORCID: https://orcid.org/0000-0003-1981-7435; Quevenco, Frances‐Catherine
ORCID: https://orcid.org/0000-0003-1467-6880; Hendrix, James; Epelbaum, Stephane; Teunissen, Charlotte; Flier, Wiesje M. van der
ORCID: https://orcid.org/0000-0001-8766-6224; Suárez‐Calvet, Marc; Shi, Jiong; Mielke, Michelle M.; Iwatsubo, Takeshi; Palmqvist, Sebastian und Hansson, Oskar
ORCID: https://orcid.org/0000-0001-8467-7286
(2025):
How can Alzheimer's disease blood‐based biomarkers reach clinical practice?
In: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, Bd. 17, Nr. 4, e70207
[PDF, 278kB]
Abstract
INTRODUCTION
Alzheimer's disease (AD) diagnosis has been based largely on clinical symptoms, despite their limited sensitivity and specificity. Biomarker use was proposed to support a more accurate and timely diagnosis. However, neuroimaging or cerebrospinal fluid (CSF) is rarely used in primary care due to their perceived invasiveness, cost, and need for appropriate infrastructure. Blood-based biomarkers (BBMs) could represent an economical, minimally invasive alternative, but barriers exist to a seamless translation to the clinic.
METHODS
Ten international experienced AD clinicians and biomarker experts participated in a diagnostic roundtable to discuss the implementation of BBMs for diagnosing early symptomatic AD.
RESULTS
The participants proposed an optimal AD diagnostic pathway and highlighted three main gaps to implementing BBMs for early symptomatic AD diagnosis: limited real-world data, resource gaps, and system barriers.
DISCUSSION
Although BBMs could streamline the AD diagnostic pathway, further real-world evidence and collaboration among multiple stakeholders are needed.
| Dokumententyp: | Zeitschriftenartikel |
|---|---|
| Fakultät: | Medizin > Munich Cluster for Systems Neurology (SyNergy) |
| Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
| URN: | urn:nbn:de:bvb:19-epub-129527-4 |
| ISSN: | 2352-8729 |
| Sprache: | Englisch |
| Dokumenten ID: | 129527 |
| Datum der Veröffentlichung auf Open Access LMU: | 18. Nov. 2025 06:11 |
| Letzte Änderungen: | 18. Nov. 2025 06:11 |
| DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198 |
