Alzheimer's disease biomarkers: correspondence between human studies and animal models
Open accessAbstract
Alzheimer's disease (AD) represents an escalating global threat as life expectancy and disease prevalence continue to increase. There is a considerable need for earlier diagnoses to improve clinical outcomes. Fluid biomarkers measured from cerebrospinal fluid (CSF) and blood, or imaging biomarkers have considerable potential to assist in the diagnosis and management of AD. An additional important utility of biomarkers is in novel therapeutic development and clinical trials to assess efficacy and side effects of therapeutic interventions. Because many biomarkers are initially examined in animal models, the extent to which markers translate from animals to humans is an important issue. The current review highlights many existing and pipeline biomarker approaches, focusing on the degree of correspondence between AD patients and animal models. The review also highlights the need for greater translational correspondence between human and animal biomarkers.
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A number of clinical studies using DTI have observed increased MD and reduced FA in the white matter of the brains of AD patients compared to healthy controls.
“A number of clinical studies using DTI have observed increased MD and reduced FA in the white matter of the brains of AD patients when compared to healthy controls (Jack, 2012, Sabbagh et al., 2013).”
From In vivo imaging of tau pathology using multi-parametric quantitative MRI (2015) · cites this paper as Sabbagh et al., 2013
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Tau Transgenic Mice as Models for Cerebrospinal Fluid Tau Biomarkers
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Buttini, M., Czubala, M. A., Rozman, J., & Heneka, M. T. (2026) · Neuron · doi:10.1016/j.neuron.2026.08.005
- Authors
- Sabbagh, J. J., Kinney, J. W., & Cummings, J. L.
- Affiliations
- University of Nevada, Las Vegas (US)
- Cleveland Clinic (US)
- Corresponding author
- Kinney, Jefferson W.
- ORCID
- Cummings, Jeffrey L.
- Venue
- Neurobiology of Disease
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 56
- Pages
- 116-130
- ISSN
- 0969-9961 (ISSN-L)
- OpenAlex
- W2011018734
- Cited by
- 27
- References
- 284
- Citations by year
- 2026: 1 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 4 · 2019: 1 · 2017: 5 · 2016: 1 · 2015: 3 · 2014: 6 · 2013: 1
- FWCI
- 0.40
- Type
- journal article
- Language
- en
- Open access
- green
- doaj.org
- Licence
- cc-by-sa
- Locations
- Neurobiology of Disease (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, biomarkers, animal models, translational research, cerebrospinal fluid biomarkers, blood biomarkers, imaging biomarkers, early diagnosis, treatment development, clinical trials
- MeSH terms
- Alzheimer Disease, Animals, Electroencephalography, Humans, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Biomarkers, Early Diagnosis, Positron-Emission Tomography
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.
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