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Effect of renal function on the diagnostic performance of plasma biomarkers for Alzheimer's disease
Zhang B, Zhang C, Wang Y, Chen L, Qiao Y, Wang Y, Peng D, Alzheimer’s Disease Neuroimaging Initiative.. Frontiers in aging neuroscience, 2023-03-15
Topic: Plasma and spinal-fluid biomarkers
Background Several blood-based biomarkers are promising to be used in the diagnosis of Alzheimer's disease (AD) including Aβ42/40, p-tau181, and neurofilament light (NfL). The kidney is associated with the clearance of proteins. It is crucial to evaluate the effect of renal function on the diagnostic performance of these biomarkers before clinical implementation, which is important for the establishment of reference ranges and the interpretation of results. Methods This study is a cross-sectional analysis based on ADNI cohort. Renal function was determined by the estimated glomerular filtration rate (eGFR). Plasma Aβ42/40 was measured by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Plasma p-tau181 and NfL were analyzed by Single Molecule array (Simoa) technique. [18F] florbetapir-PET (Aβ-PET) was used as a reference standard to estimate the brain amyloid load. The cutoff of Aβ-PET positivity was defined as ≥1.11. Linear regression models were used to investigate the associations of continuous eGFR with each plasma biomarker separately. The diagnostic accuracies of plasma biomarkers for positive brain amyloid across different renal function groups were analyzed by Receiver operating characteristic (ROC) curve. Youden-Index was used to determine the cutoff levels. Results A total of 645 participants were included in this study. The levels and diagnostic performance of Aβ42/40 were not affected by renal function. eGFR was only found negatively associated with p-tau181 levels in Aβ-PET negetive sample ( β = -0.09, p = 0.039). eGFR was found negatively associated with NfL levels both in whole sample and Aβ-PET stratified groups ( β = -0.27, p < 0.001 in whole sample; β = -0.28, p = 0.004 in A - ; β = -0.27, p < 0.001 in A + ). The diagnostic accuracies of p-tau181 and NfL were not affected by renal function. But the cutoff values of p-tau181 and NfL changed in participants with mild to moderate eGFR decline compared to participants with normal eGFR. Conclusion Plasma Aβ42/40 was a robust biomarker for AD which was not affected by renal function. Plasma p-tau181 and NfL levels were affected by renal function, specific reference values of them should be considered in populations with different renal function stages.
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APA 7th
Zhang, B., Zhang, C., Wang, Y., Chen, L., Qiao, Y., Peng, D., et al. (2023). Effect of renal function on the diagnostic performance of plasma biomarkers for Alzheimer's disease. Frontiers in aging neuroscience. https://doi.org/10.3389/fnagi.2023.1150510
Vancouver
Zhang B, Zhang C, Wang Y, Chen L, Qiao Y, Peng D, et al. Effect of renal function on the diagnostic performance of plasma biomarkers for Alzheimer's disease. Frontiers in aging neuroscience. 2023. doi:10.3389/fnagi.2023.1150510. PMID: 37009461.
BibTeX
@article{zhang2023-37009461,
author = {Zhang, B. and Zhang, C. and Wang, Y. and Chen, L. and Qiao, Y. and Peng, D. and {Alzheimer’s Disease Neuroimaging Initiative}},
title = {{Effect of renal function on the diagnostic performance of plasma biomarkers for Alzheimer's disease}},
journal = {Frontiers in aging neuroscience},
year = {2023},
doi = {10.3389/fnagi.2023.1150510},
pmid = {37009461},
url = {https://doi.org/10.3389/fnagi.2023.1150510}
}
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 names 7 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.
Key findings
- The kidney is associated with the clearance of proteins.
- It is crucial to evaluate the effect of renal function on the diagnostic performance of these biomarkers before clinical implementation, which is important for the establishment of reference ranges and the interpretation of results.
- Results A total of 645 participants were included in this study.
- The levels and diagnostic performance of Aβ42/40 were not affected by renal function. eGFR was only found negatively associated with p-tau181 levels in Aβ-PET negetive sample ( β = -0.09, p = 0.039). eGFR was found negatively associated with NfL levels both in whole sample and Aβ-PET stratified groups ( β = -0.27, p < 0.001 in whole sample; β = -0.28, p = 0.004 in A - ; β = -0.27, p < 0.001 in A + ).
- But the cutoff values of p-tau181 and NfL changed in participants with mild to moderate eGFR decline compared to participants with normal eGFR.
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Study details
- Study designcross-sectional
- Participants645
- Evidence strengthModerate
How this study scored 62/100
Published in a peer-reviewed journal, and it is a snapshot of people at one point in time. Scored zero for 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 and multi-centre collaboration, so those were left out: it earned 36 of the 58 points we could judge it on, which is 62 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Frontiers in aging neuroscience) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 4 / 12 | A snapshot of people at one point in time |
| 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 | 645 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 37009461) |
| Free to read | 2 / 2 | Free to read |
| Points | 36 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 36 of the 58 points we could judge it on is 62 out of 100. |
| Total | 62 / 100 | — |
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