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CSF proteome profiling reveals biomarkers to discriminate dementia with Lewy bodies from Alzheimer´s disease
Marta Del Campo, Lisa Vermunt, Carel F W Peeters, Anne Sieben, Yanaika S Hok-A-Hin, Alberto Lleó, Daniel Alcolea, Mirrelijn van Nee et al.. Nature communications, 2023-09-13
Topic: Plasma and spinal-fluid biomarkers
Diagnosis of dementia with Lewy bodies (DLB) is challenging and specific biofluid biomarkers are highly needed. We employed proximity extension-based assays to measure 665 proteins in the cerebrospinal fluid (CSF) from patients with DLB (n = 109), Alzheimer´s disease (AD, n = 235) and cognitively unimpaired controls (n = 190). We identified over 50 CSF proteins dysregulated in DLB, enriched in myelination processes among others. The dopamine biosynthesis enzyme DDC was the strongest dysregulated protein, and could efficiently discriminate DLB from controls and AD (AUC:0.91 and 0.81 respectively). Classification modeling unveiled a 7-CSF biomarker panel that better discriminate DLB from AD (AUC:0.93). A custom multiplex panel for six of these markers (DDC, CRH, MMP-3, ABL1, MMP-10, THOP1) was developed and validated in independent cohorts, including an AD and DLB autopsy cohort. This DLB CSF proteome study identifies DLB-specific protein changes and translates these findings to a practicable biomarker panel that accurately identifies DLB patients, providing promising diagnostic and clinical trial testing opportunities.
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APA 7th
Del Campo, M., Vermunt, L., Peeters, C. F. W., Sieben, A., Hok-A-Hin, Y. S., Lleó, A., et al. (2023). CSF proteome profiling reveals biomarkers to discriminate dementia with Lewy bodies from Alzheimer´s disease. Nature communications. https://doi.org/10.1038/s41467-023-41122-y
Vancouver
Del Campo M, Vermunt L, Peeters CFW, Sieben A, Hok-A-Hin YS, Lleó A, et al. CSF proteome profiling reveals biomarkers to discriminate dementia with Lewy bodies from Alzheimer´s disease. Nature communications. 2023. doi:10.1038/s41467-023-41122-y. PMID: 37704597.
BibTeX
@article{delcampo2023-37704597,
author = {Del Campo, Marta and Vermunt, Lisa and Peeters, Carel F W and Sieben, Anne and Hok-A-Hin, Yanaika S and Lleó, Alberto and Alcolea, Daniel and van Nee, Mirrelijn and others},
title = {{CSF proteome profiling reveals biomarkers to discriminate dementia with Lewy bodies from Alzheimer´s disease}},
journal = {Nature communications},
year = {2023},
doi = {10.1038/s41467-023-41122-y},
pmid = {37704597},
url = {https://doi.org/10.1038/s41467-023-41122-y}
}
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Key findings
- This DLB CSF proteome study identifies DLB-specific protein changes and translates these findings to a practicable biomarker panel that accurately identifies DLB patients, providing promising diagnostic and clinical trial testing opportunities.
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Study details
- Participants109
- Effect sizeAUC:0.91; AUC:0.93
- Evidence strengthModerate
How this study scored 63/100
Published in a leading specialty journal. Scored zero for study design 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 35 of the 56 points we could judge it on, which is 63 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Nature communications) |
| 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 | 3 / 5 | Rated “moderate” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2023 — within 6 year(s) of the newest study here |
| Sample size | 2 / 4 | 109 participants |
| Effect reported | 3 / 3 | Effect reported with a statistic (interval, p-value, ratio or similar) |
| 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 37704597) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 35 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 35 of the 56 points we could judge it on is 63 out of 100. |
| Total | 63 / 100 | — |
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