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Chimeric antigen receptors discriminate between tau and distinct amyloid-beta species
Cynthia J Siebrand, Nicholas J Bergo, Suckwon Lee, Julie K Andersen, Chaska C Walton. Journal of translational medicine, 2025-05-30
Topic: Disease mechanisms in lab and animal studies
DO11.10 cells expressing E2814-CAR-but not Lec-CAR-responded to tau PFFs. In contrast, cells expressing Adu-CAR, and to a lesser extent Lec-CAR-but not E2814-CAR-responded to Aβ1-42 aggregates. For Aβp3-42 aggregates, Rem-CAR elicited the strongest response, followed by Adu-CAR, while E2814-CAR and Don-CAR showed no activation. The activation of Adu-CAR by Aβ1-42 aggregates was recapitulated in primary CD4⁺ T cells, as measured by CD69 expression. Our findings demonstrate that CARs can detect and discriminate between tau PFFs, Aβ1-42, and Aβp3-42 aggregates. This highlights the potential of repurposing AD antibodies for CAR-based therapies to selectively target tau NFTs and distinct forms of Aβ senile plaques.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Siebrand, C. J., Bergo, N. J., Lee, S., Andersen, J. K., & Walton, C. C. (2025). Chimeric antigen receptors discriminate between tau and distinct amyloid-beta species. Journal of translational medicine. https://doi.org/10.1186/s12967-025-06572-6
Vancouver
Siebrand CJ, Bergo NJ, Lee S, Andersen JK, Walton CC. Chimeric antigen receptors discriminate between tau and distinct amyloid-beta species. Journal of translational medicine. 2025. doi:10.1186/s12967-025-06572-6. PMID: 40448101.
BibTeX
@article{siebrand2025-40448101,
author = {Siebrand, Cynthia J and Bergo, Nicholas J and Lee, Suckwon and Andersen, Julie K and Walton, Chaska C},
title = {{Chimeric antigen receptors discriminate between tau and distinct amyloid-beta species}},
journal = {Journal of translational medicine},
year = {2025},
doi = {10.1186/s12967-025-06572-6},
pmid = {40448101},
url = {https://doi.org/10.1186/s12967-025-06572-6}
}
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Key findings
- DO11.10 cells expressing E2814-CAR-but not Lec-CAR-responded to tau PFFs.
- In contrast, cells expressing Adu-CAR, and to a lesser extent Lec-CAR-but not E2814-CAR-responded to Aβ1-42 aggregates.
- For Aβp3-42 aggregates, Rem-CAR elicited the strongest response, followed by Adu-CAR, while E2814-CAR and Don-CAR showed no activation.
- The activation of Adu-CAR by Aβ1-42 aggregates was recapitulated in primary CD4⁺ T cells, as measured by CD69 expression.
- Our findings demonstrate that CARs can detect and discriminate between tau PFFs, Aβ1-42, and Aβp3-42 aggregates.
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Study details
- Evidence strengthLow
How this study scored 43/100
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 24 of the 56 points we could judge it on, which is 43 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Journal of translational medicine) |
| 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 | 4 / 5 | 2025 — within 3 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 40448101) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 24 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 24 of the 56 points we could judge it on is 43 out of 100. |
| Total | 43 / 100 | — |
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