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46/100

✓ Peer-reviewed alzhub usefulness score 46 out of 100. Biomarkers

Topic: Plasma and spinal-fluid biomarkers

Alzheimer's Disease (AD) biomarker measurement is key to aid in the diagnosis and prognosis of the disease. In the research setting, participant recruitment and retention and optimization of sample use, is one of the main challenges that observational studies face. Thus, obtaining accurate established biomarker measurements for stratification and maximizing use of the precious samples is key. Accurate technologies are currently available for established biomarkers, mainly immunoassays and immunoprecipitation liquid chromatography-mass spectrometry (IP-MS), and some of them are already being used in clinical settings. Although some immunoassays- and IP-MS based platforms provide multiplexing for several different coding proteins there is not a current platform that can measure all the stablished and emerging biomarkers in one run. The NUcleic acid Linked Immuno-Sandwich Assay (NULISA™) is a mid-throughput platform with antibody-based measurements with a sequencing output that requires 15μL of sample volume to measure more than 100 analytes, including those typically assayed for AD. Here we benchmarked and compared the AD-relevant biomarkers including in the NULISA against validated assays, in both CSF and plasma. Overall, we have found that CSF measures of Aß42/40, NfL, GFAP, and p-tau217 are highly correlated and have similar predictive performance when measured by immunoassay, mass-spectrometry or NULISA. In plasma, p-tau217 shows a performance similar to that reported with other technologies when predicting amyloidosis. Other established and exploratory biomarkers (total tau, p-tau181, NRGN, YKL40, sTREM2, VILIP1 among other) show a wide range of correlation values depending on the fluid and the platform. Our results indicate that the multiplexed immunoassay platform produces reliable results for established biomarkers in CSF that are useful in research settings, with the advantage of measuring additional novel biomarkers using minimal sample volume.

Key findings

Overall, we have found that CSF measures of Aß42/40, NfL, GFAP, and p-tau217 are highly correlated and have similar predictive performance when measured by immunoassay, mass-spectrometry or NULISA.
Our results indicate that the multiplexed immunoassay platform produces reliable results for established biomarkers in CSF that are useful in research settings, with the advantage of measuring additional novel biomarkers using minimal sample volume.

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Study details

Evidence strengthLow

How this study scored 46/100

Published in a leading specialty journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multi-centre collaboration and free to read, so those were left out: it earned 26 of the 56 points we could judge it on, which is 46 out of 100.

Component	Points	Why
Journal tier	9 / 10	Tier 2 — leading specialty journal (Alzheimer's & dementia : the journal of the Alzheimer's Association)
Journal's citation record	— / 4	No journal record from OpenAlex — left out of this score
Study design	0 / 12	No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence	1 / 5	Rated “low” in our summary
Peer-review validation	10 / 10	Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent	4 / 5	2024 — within 3 year(s) of the newest study here
Sample size	0 / 4	Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported	0 / 3	No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people	0 / 3	Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded	0 / 2	No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited	— / 7	No citation count (not found in OpenAlex) — left out of this score
Citations per year	— / 5	No citation count or no year — left out of this score
Impact for its field and year	— / 6	No field-weighted citation impact (OpenAlex has none yet) — left out of this score
Cited by studies here	— / 6	Not yet checked against this library's citation graph — left out of this score
Still being cited	— / 4	No yearly citation counts — left out of this score
Senior author's track record	— / 4	Senior author's record not available — left out of this score
Institution's track record	— / 3	No institution listed in OpenAlex — left out of this score
Multi-centre collaboration	— / 3	Institutions not listed — left out of this score
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 38947090)
Free to read	— / 2	Access not recorded — left out of this score
Points	26 / 56	Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 26 of the 56 points we could judge it on is 46 out of 100.
Total	46 / 100	—

What each of these 20 components measures, and what this score is not →

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Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Ibanez, L., Liu, M., Beric, A., Timsina, J., Kholfeld, P., Bergmann, K., et al. (2024). Benchmarking of a multi-biomarker low-volume panel for Alzheimer's Disease and related dementia research. Alzheimer's & dementia : the journal of the Alzheimer's Association. https://doi.org/10.1101/2024.06.13.24308895

Vancouver

Ibanez L, Liu M, Beric A, Timsina J, Kholfeld P, Bergmann K, et al. Benchmarking of a multi-biomarker low-volume panel for Alzheimer's Disease and related dementia research. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2024. doi:10.1101/2024.06.13.24308895. PMID: 38947090.

BibTeX

@article{ibanez2024-38947090,
  author  = {Ibanez, Laura and Liu, Menghan and Beric, Aleksandra and Timsina, Jigyasha and Kholfeld, Pat and Bergmann, Kristy and Lowery, Joey and Sykora, Nick and others},
  title   = {{Benchmarking of a multi-biomarker low-volume panel for Alzheimer's Disease and related dementia research}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2024},
  doi     = {10.1101/2024.06.13.24308895},
  pmid    = {38947090},
  url     = {https://doi.org/10.1101/2024.06.13.24308895}
}

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