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Blood Biomarkers in Alzheimer's Disease
Pravat K Mandal, Joseph C Maroon, Arun Garg, Narendra Kumar Arora, Rishu Bansal, Aditi Kaushik, Avantika Samkaria, Gayathri Kumaran et al.. ACS chemical neuroscience, 2023-10-25
Topic: Plasma and spinal-fluid biomarkers
Alzheimer's disease (AD) is a devastating neurodegenerative disorder that affects millions of people worldwide. The characteristic pathological manifestation of AD includes the deposition of extracellular insoluble β amyloid plaques and intracellular neurofibrillary tangles formed from hyperphosphorylated tau protein. Cost effective and minimally invasive peripheral blood-based biomarkers are critical for early AD diagnosis. Currently, the plasma based two fraction of β amyloid peptide ratio (Aβ42/40) and phosphorylated tau (p-tau) are considered as blood-based biomarkers for AD diagnosis. Recent research indicates that oxidative stress (OS) occurs prior to amyloid plaque (Aβ) formation and abnormal tau phosphorylation in AD. The imbalance of the master antioxidant, glutathione (GSH), and prooxidants (iron, zinc, and copper)─plays a crucial role in AD neurodegeneration. We present peripheral blood-based OS related biomarkers that are mechanistically involved in the disease process and may serve as a novel screening tool for early detection of AD onset. This OS based approach may also provide a quick and cost efficient method to monitor the effects of disease-modifying therapies in AD clinical trials.
Key findings
- Recent research indicates that oxidative stress (OS) occurs prior to amyloid plaque (Aβ) formation and abnormal tau phosphorylation in AD.
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Study details
- Evidence strengthLow
How this study scored 41/100
Published in a peer-reviewed 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 23 of the 56 points we could judge it on, which is 41 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (ACS chemical neuroscience) |
| 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 | 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 37878665) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 23 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 23 of the 56 points we could judge it on is 41 out of 100. |
| Total | 41 / 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
Mandal, P. K., Maroon, J. C., Garg, A., Arora, N. K., Bansal, R., Kaushik, A., et al. (2023). Blood Biomarkers in Alzheimer's Disease. ACS chemical neuroscience. https://doi.org/10.1021/acschemneuro.3c00641
Vancouver
Mandal PK, Maroon JC, Garg A, Arora NK, Bansal R, Kaushik A, et al. Blood Biomarkers in Alzheimer's Disease. ACS chemical neuroscience. 2023. doi:10.1021/acschemneuro.3c00641. PMID: 37878665.
BibTeX
@article{mandal2023-37878665,
author = {Mandal, Pravat K and Maroon, Joseph C and Garg, Arun and Arora, Narendra Kumar and Bansal, Rishu and Kaushik, Aditi and Samkaria, Avantika and Kumaran, Gayathri and others},
title = {{Blood Biomarkers in Alzheimer's Disease}},
journal = {ACS chemical neuroscience},
year = {2023},
doi = {10.1021/acschemneuro.3c00641},
pmid = {37878665},
url = {https://doi.org/10.1021/acschemneuro.3c00641}
}
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