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Nanosensor-Driven Detection of Neuron-Derived Exosomal Aβ 42 with Graphene Electrolyte-Gated Transistor for Alzheimer's Disease Diagnosis
Li J, Ni W, Jin D, Yu Y, Xiao MM, Zhang ZY, Zhang GJ.. Analytical chemistry, 2023-03-21
Topic: Plasma and spinal-fluid biomarkers
Blood-based tests have sparked tremendous attention in non-invasive early diagnosis of Alzheimer's disease (AD), a most prevalent neurodegenerative malady worldwide. Despite significant progress in the methodologies for detecting AD core biomarkers such as Aβ 42 from serum/plasma, there remains cautious optimism going forward due to its controversial diagnostic value and disease relevance. Here, a graphene electrolyte-gated transistor biosensor is reported for the detection of serum neuron-derived exosomal Aβ 42 (NDE-Aβ 42 ), which is an emerging, compelling trove of blood biomarker for AD. Assisted by the antifouling strategy with the dual-blocking process, the noise against complex biological background was considerably reduced, forging an impressive sensitivity gain with a limit of detection of 447 ag/mL. An accurate detection of SH-SY5Y-derived exosomal Aβ 42 was also achieved with highly conformable enzyme-linked immunosorbent assay results. Importantly, the clinical analysis for 27 subjects revealed the immense diagnostic value of NDE-Aβ 42 , which can outclass that of serum Aβ 42 . The developed electronic assay demonstrates, for the first time, nanosensor-driven NDE-Aβ 42 detection, which enables a reliable discrimination of AD patients from non-AD individuals and even the differential diagnosis between AD and vascular dementia patients, with an accuracy of 100% and a Youden index of 1. This NDE-Aβ 42 biosensor defines a robust approach for blood-based confident AD ascertain.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Li, J., Ni, W., Jin, D., Yu, Y., Xiao, M. M., Zhang, Z. Y., et al. (2023). Nanosensor-Driven Detection of Neuron-Derived Exosomal Aβ 42 with Graphene Electrolyte-Gated Transistor for Alzheimer's Disease Diagnosis. Analytical chemistry. https://doi.org/10.1021/acs.analchem.2c05751
Vancouver
Li J, Ni W, Jin D, Yu Y, Xiao MM, Zhang ZY, et al. Nanosensor-Driven Detection of Neuron-Derived Exosomal Aβ 42 with Graphene Electrolyte-Gated Transistor for Alzheimer's Disease Diagnosis. Analytical chemistry. 2023. doi:10.1021/acs.analchem.2c05751. PMID: 36943894.
BibTeX
@article{li2023-36943894,
author = {Li, J. and Ni, W. and Jin, D. and Yu, Y. and Xiao, M. M. and Zhang, Z. Y. and Zhang, G. J.},
title = {{Nanosensor-Driven Detection of Neuron-Derived Exosomal Aβ 42 with Graphene Electrolyte-Gated Transistor for Alzheimer's Disease Diagnosis}},
journal = {Analytical chemistry},
year = {2023},
doi = {10.1021/acs.analchem.2c05751},
pmid = {36943894},
url = {https://doi.org/10.1021/acs.analchem.2c05751}
}
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
- Despite significant progress in the methodologies for detecting AD core biomarkers such as Aβ 42 from serum/plasma, there remains cautious optimism going forward due to its controversial diagnostic value and disease relevance.
- An accurate detection of SH-SY5Y-derived exosomal Aβ 42 was also achieved with highly conformable enzyme-linked immunosorbent assay results.
- Importantly, the clinical analysis for 27 subjects revealed the immense diagnostic value of NDE-Aβ 42 , which can outclass that of serum Aβ 42 .
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Study details
- Participants27
- Evidence strengthLow
How this study scored 47/100
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 and multi-centre collaboration, so those were left out: it earned 27 of the 58 points we could judge it on, which is 47 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Analytical chemistry) |
| 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 | 2023 — within 6 year(s) of the newest study here |
| Sample size | 1 / 4 | 27 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 36943894) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 27 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 27 of the 58 points we could judge it on is 47 out of 100. |
| Total | 47 / 100 | — |
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