Cited by 283Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsClinical Laboratory Practices and Quality Control

Blood-based biomarkers for Alzheimer’s disease: Current state and future use in a transformed global healthcare landscape

Open access
Hampel, Harald, Hu, Yan, Cummings, Jeffrey, Mattke, Soeren, Iwatsubo, Takeshi, Nakamura, Akinori, Vellas, Bruno, O’Bryant, Sid +7 more·2023·Neuron

Abstract

Timely detection of the pathophysiological changes and cognitive impairment caused by Alzheimer's disease (AD) is increasingly pressing because of the advent of biomarker-guided targeted therapies that may be most effective when provided early in the disease. Currently, diagnosis and management of early AD are largely guided by clinical symptoms. FDA-approved neuroimaging and cerebrospinal fluid biomarkers can aid detection and diagnosis, but the clinical implementation of these testing modalities is limited because of availability, cost, and perceived invasiveness. Blood-based biomarkers (BBBMs) may enable earlier and faster diagnoses as well as aid in risk assessment, early detection, prognosis, and management. Herein, we review data on BBBMs that are closest to clinical implementation, particularly those based on measures of amyloid-β peptides and phosphorylated tau species. We discuss key parameters and considerations for the development and potential deployment of these BBBMs under different contexts of use and highlight challenges at the methodological, clinical, and regulatory levels.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuron.2023.05.017

Cites

159 of 159 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • BBMs have not been recommended as standalone diagnostic tests due to a lack of studies demonstrating their equivalence to clinically used CSF and PET methods.

    “Despite BBMs being used in clinical practice in some countries, including the United States, they have not been recommended as standalone diagnostic tests due to a lack of studies demonstrating their equivalence to clinically used CSF and PET methods16,35–37.”

    From Highly accurate blood test for Alzheimer's disease is similar or superior to clinical cerebrospinal fluid tests (2024) · cites this paper as [16]

    The paper’s Future directions and conclusions section says blood-based biomarkers do not currently provide a standalone AD diagnosis. Its Diagnosis section discusses comparisons with CSF and PET, but the cited passages do not say that a lack of studies demonstrating equivalence is the reason standalone tests have not been recommended. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Blood-based markers capable of detecting AD pathology have been developed.

    “In the last several years, blood-based markers (BBMs) capable of detecting AD pathology have been developed16–18.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [99]99. Siemens Healthineers (2022). Siemens Healthineers Receives FDA Break- through Device Designation for sNfL test in Multiple Sclerosis. https:// www.siemens-healthineers.com/en-us/press-room/press-releases/snfl- breakthrough-device-designation. 100.

Cited by

Sorted by citations

Authors
Hampel, H., Hu, Y., Cummings, J., Mattke, S., Iwatsubo, T., Nakamura, A., Vellas, B., O’Bryant, S., Shaw, L. M., Cho, M., Batrla, R., Vergallo, A., Blennow, K., Dage, J., & Schindler, S. E.
Affiliations
  • Eisai (United States) (US)
  • University of Nevada, Las Vegas (US)
  • University of Southern California (US)
  • The University of Tokyo (JP)
  • National Center for Geriatrics and Gerontology (JP)
  • Inserm (FR)
  • University of North Texas Health Science Center (US)
  • University of Pennsylvania (US)
  • Sahlgrenska University Hospital (SE)
  • Indiana University School of Medicine (US)
  • Washington University in St. Louis (US)
Corresponding author
  • Hampel, Harald
  • Hu, Yan
Venue
Neuron
Publisher
Elsevier BV
Published
2023-09
Volume
111
Issue
18
Pages
2781-2799
ISSN
0896-6273 (ISSN-L)
OpenAlex
W4379880742
Cited by
283
References
159
Citations by year
2026: 99 · 2025: 87 · 2024: 92 · 2023: 4
FWCI
12.87
Type
journal article
Language
en
Open access
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • IUScholarWorks (Indiana University) (submittedVersion)
Funders
  • Alzheimer's Drug Discovery Foundation (P20GM109025)
  • Eli Lilly and Company (P20GM109025)
  • Biogen (P20GM109025)
  • University of Pennsylvania
  • Cure Alzheimer's Fund
  • Japan Agency for Medical Research and Development (20dk0207027h0005, JP22ae0101077, JP22dk0207052)
  • Sage Therapeutics
  • Prothena
  • Eisai (P20GM109025)
  • Novo Nordisk
  • National Center for Geriatrics and Gerontology
  • Siemens Healthineers
  • Servier (P20GM109025)
  • H. Lundbeck A/S (P20GM109025)
  • Grifols
  • Julius Clinical
  • National Institutes of Health (ADNI4)
  • Genentech (P20GM109025)
  • National Institute on Aging (R01AG053798, P20AG068053, P01AG003991, R35AG71476, R01AG058533, P30AG066444, U19AG024904, P30AG072959, R01AG070941, P30AG072979, U19AG078109, P01AG026276, R35AG071476)
  • National Institute of General Medical Sciences (P20GM109025)
  • National Institute of Neurological Disorders and Stroke (U01NS093334)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
Keywords
Alzheimer's disease, blood-based biomarkers, amyloid-beta, phosphorylated tau, early diagnosis, liquid biopsy, cerebrospinal fluid biomarkers, risk assessment, prognosis, regulatory challenges, clinical implementation
MeSH terms
Alzheimer Disease, Delivery of Health Care, Humans, Peptide Fragments, Biomarkers, Amyloid beta-Peptides, tau Proteins, Cognitive Dysfunction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review