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50/100

✓ Peer-reviewed alzhub usefulness score 50 out of 100. Biomarkers

Topic: Plasma and spinal-fluid biomarkers

Studying the correlation between cerebrospinal fluid (CSF) metabolites and the Alzheimer's Disease (AD) biomarkers may offer a window to the alterations of the brain metabolome and unveil potential biological mechanisms underlying AD. In this analysis, 308 CSF metabolites from 338 individuals of Wisconsin Registry for Alzheimer's Prevention and Wisconsin Alzheimer's Disease Research Center were included in a principal component analysis (PCA). The resulted principal components (PCs) were tested for association with CSF total tau (t-tau), phosphorylated tau (p-tau), amyloid β 42 (Aβ42), and Aβ42/40 ratio using linear regression models. Significant PCs were further tested with other CSF NeuroToolKit (NTK) and imaging biomarkers. Using a Bonferroni corrected p < 0.05, 5 PCs were significantly associated with CSF p-tau and t-tau and 3 PCs were significantly associated with CSF Aβ42. Pathway analysis suggested that these PCS were enriched in 6 pathways, including metabolism of caffeine and nicotinate and nicotinamide. This study provides evidence that CSF metabolites are associated with AD pathology through core AD biomarkers and other NTK markers and suggests potential pathways to follow up in future studies.

Key findings

Significant PCs were further tested with other CSF NeuroToolKit (NTK) and imaging biomarkers.
Using a Bonferroni corrected p < 0.05, 5 PCs were significantly associated with CSF p-tau and t-tau and 3 PCs were significantly associated with CSF Aβ42.
Pathway analysis suggested that these PCS were enriched in 6 pathways, including metabolism of caffeine and nicotinate and nicotinamide.
This study provides evidence that CSF metabolites are associated with AD pathology through core AD biomarkers and other NTK markers and suggests potential pathways to follow up in future studies.

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Study details

Participants338
Evidence strengthLow

How this study scored 50/100

Published in a peer-reviewed journal. Scored zero for study design, effect reported 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 28 of the 56 points we could judge it on, which is 50 out of 100.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (Neurobiology of aging)
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	3 / 5	2022 — within 6 year(s) of the newest study here
Sample size	2 / 4	338 participants
Effect reported	0 / 3	No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people	3 / 3	Studied in people (participant count stated)
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 35640460)
Free to read	— / 2	Access not recorded — left out of this score
Points	28 / 56	Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 28 of the 56 points we could judge it on is 50 out of 100.
Total	50 / 100	—

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

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APA 7th

Dong, R., Denier-Fields, D. N., Lu, Q., Suridjan, I., Kollmorgen, G., Wild, N., et al. (2022). Principal components from untargeted cerebrospinal fluid metabolomics associated with Alzheimer's disease biomarkers. Neurobiology of aging. https://doi.org/10.1016/j.neurobiolaging.2022.04.009

Vancouver

Dong R, Denier-Fields DN, Lu Q, Suridjan I, Kollmorgen G, Wild N, et al. Principal components from untargeted cerebrospinal fluid metabolomics associated with Alzheimer's disease biomarkers. Neurobiology of aging. 2022. doi:10.1016/j.neurobiolaging.2022.04.009. PMID: 35640460.

BibTeX

@article{dong2022-35640460,
  author  = {Dong, Ruocheng and Denier-Fields, Diandra N and Lu, Qiongshi and Suridjan, Ivonne and Kollmorgen, Gwendlyn and Wild, Norbert and Betthauser, Tobey James and Carlsson, Cynthia M and others},
  title   = {{Principal components from untargeted cerebrospinal fluid metabolomics associated with Alzheimer's disease biomarkers}},
  journal = {Neurobiology of aging},
  year    = {2022},
  doi     = {10.1016/j.neurobiolaging.2022.04.009},
  pmid    = {35640460},
  url     = {https://doi.org/10.1016/j.neurobiolaging.2022.04.009}
}

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