Pre-Analytical Variables Influencing Stability of Blood-Based Biomarkers of Neuropathology.

Alzheimer’s disease Simoa assay amyloid-β blood-based biomarkers pre-analytical variables stability

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2023
Historique:
medline: 19 9 2023
pubmed: 14 8 2023
entrez: 14 8 2023
Statut: ppublish

Résumé

Sample collection and preanalytical protocols may significantly impact the results of large-scale epidemiological studies incorporating blood-based biomarkers of neuropathology. To evaluate the stability and assay variability of several blood-based biomarkers of neuropathology for common preanalytical conditions. We collected serum and plasma samples from 41 participants and evaluated the effect of processing delay of up to 72 h when stored at 4∘C, three freeze-thaw cycles, and a combination of 48-h processing delay when stored at 4∘C and three freeze-thaw cycles on biomarker stability. Using the Simoa assay (Quanterix Inc.), we measured amyloid-β 40 (Aβ40), amyloid-β 42 (Aβ42), neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and phosphorylated tau 181 (p-tau-181). We found that Aβ40 and Aβ42 levels significantly decreased after a 24-h processing delay in both plasma and serum samples, and a single freeze-thaw cycle (p < 0.0001). Nevertheless, serum Aβ42/40 ratio remained stable with a processing delay up to 48 h while plasma Aβ42/40 ratio showed only small but significant increase with a delay up to 72 h. Both plasma and serum GFAP and NfL levels were only modestly affected by processing delay and freeze-thaw cycles. Plasma p-tau-181 levels notably increased with a 24-, 48-, and 72-h processing delay, but remained stable in serum. Intra-individual variation over two weeks was minimal for all biomarkers and their levels were substantially lower in serum when compared with plasma. These results suggest that standardizing preanalytical variables will allow robust measurements of biomarkers of neuropathology in population studies.

Sections du résumé

BACKGROUND
Sample collection and preanalytical protocols may significantly impact the results of large-scale epidemiological studies incorporating blood-based biomarkers of neuropathology.
OBJECTIVE
To evaluate the stability and assay variability of several blood-based biomarkers of neuropathology for common preanalytical conditions.
METHODS
We collected serum and plasma samples from 41 participants and evaluated the effect of processing delay of up to 72 h when stored at 4∘C, three freeze-thaw cycles, and a combination of 48-h processing delay when stored at 4∘C and three freeze-thaw cycles on biomarker stability. Using the Simoa assay (Quanterix Inc.), we measured amyloid-β 40 (Aβ40), amyloid-β 42 (Aβ42), neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and phosphorylated tau 181 (p-tau-181).
RESULTS
We found that Aβ40 and Aβ42 levels significantly decreased after a 24-h processing delay in both plasma and serum samples, and a single freeze-thaw cycle (p < 0.0001). Nevertheless, serum Aβ42/40 ratio remained stable with a processing delay up to 48 h while plasma Aβ42/40 ratio showed only small but significant increase with a delay up to 72 h. Both plasma and serum GFAP and NfL levels were only modestly affected by processing delay and freeze-thaw cycles. Plasma p-tau-181 levels notably increased with a 24-, 48-, and 72-h processing delay, but remained stable in serum. Intra-individual variation over two weeks was minimal for all biomarkers and their levels were substantially lower in serum when compared with plasma.
CONCLUSION
These results suggest that standardizing preanalytical variables will allow robust measurements of biomarkers of neuropathology in population studies.

Identifiants

pubmed: 37574735
pii: JAD230384
doi: 10.3233/JAD-230384
doi:

Substances chimiques

Amyloid beta-Peptides 0
tau Proteins 0
Biomarkers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

735-748

Auteurs

Daniel Panikkar (D)

Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA.

Sithara Vivek (S)

Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.

Eileen Crimmins (E)

Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.

Jessica Faul (J)

Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA.

Kenneth M Langa (KM)

Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA.
Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, MI, USA.

Bharat Thyagarajan (B)

Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.

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Classifications MeSH