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Transcriptomic predictors of rapid progression from mild cognitive impairment to Alzheimer's disease
Yi‐Long Huang, Tsung-Hsien Tsai, Tsung-Hsien Tsai, Zhao‐Qing Shen, Yun-Hsuan Chan, Chien-Yi Tung, Chien-Yi Tung, Pei‐Ning Wang et al.. Alzheimer s Research & Therapy, 2025-01-03
Topic: Amyloid, tau and blood-test diagnosis
We discovered a remarkable gender-specific difference in DEGs that distinguish P-MCI from S-MCI. Machine learning models achieved high accuracy in distinguishing P-MCI from S-MCI (AUC 0.93), AD from S-MCI (AUC 0.94), and AD from P-MCI (AUC 0.92). An 8-gene signature was identified for distinguishing P-MCI from S-MCI. Blood-based transcriptomic biomarker signatures show great utility in identifying high-risk MCI patients, with mitochondrial processes emerging as a crucial contributor to AD progression.
Key findings
- We discovered a remarkable gender-specific difference in DEGs that distinguish P-MCI from S-MCI.
- Machine learning models achieved high accuracy in distinguishing P-MCI from S-MCI (AUC 0.93), AD from S-MCI (AUC 0.94), and AD from P-MCI (AUC 0.92).
- An 8-gene signature was identified for distinguishing P-MCI from S-MCI.
- Blood-based transcriptomic biomarker signatures show great utility in identifying high-risk MCI patients, with mitochondrial processes emerging as a crucial contributor to AD progression.
Why it matters
Blood-based transcriptomic signatures, including an 8-gene signature, distinguished rapidly progressing from slowly progressing mild cognitive impairment with high accuracy. This may help identify high-risk patients, but does not provide a treatment, cure or prevention.
Study details
- Study designlongitudinal study
- Participants28
- Effect sizeAUC 0.93; AUC 0.94; AUC 0.92
- Evidence strengthModerate
How this study scored 57/100
Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Alzheimer s Research & Therapy) |
| Journal's citation record | 1 / 4 | Alzheimer s Research & Therapy: journal h-index 146 (OpenAlex, 2026-10-29) |
| Study design | 7 / 12 | A longitudinal study following the same people over 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 | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 1 / 4 | 28 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 | 2 / 7 | Cited 13 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 4.3 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 4 / 6 | Cited 8.3× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 1 / 6 | Cited by 1 other studies in this library |
| Still being cited | 1 / 4 | Cited 13 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Ting‐Fen Tsai: h-index 44 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | National Yang Ming Chiao Tung University: institution h-index 451 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 4 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 39754267) |
| Free to read | 2 / 2 | Free to read |
| Total | 57 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1186/s13195-024-01651-0
- PubMed: 39754267
- Original source →
- Free full text: Alzheimer s Research & Therapy →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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
Huang, Y., Tsai, T.-H., Shen, Z., Chan, Y.-H., Tung, C.-Y., Wang, P., et al. (2025). Transcriptomic predictors of rapid progression from mild cognitive impairment to Alzheimer's disease. Alzheimer s Research & Therapy. https://doi.org/10.1186/s13195-024-01651-0
Vancouver
Huang Y, Tsai T.-H, Shen Z, Chan Y.-H, Tung C.-Y, Wang P, et al. Transcriptomic predictors of rapid progression from mild cognitive impairment to Alzheimer's disease. Alzheimer s Research & Therapy. 2025. doi:10.1186/s13195-024-01651-0. PMID: 39754267.
BibTeX
@article{huang2025-39754267,
author = {Huang, Yi‐Long and Tsai, Tsung-Hsien and Shen, Zhao‐Qing and Chan, Yun-Hsuan and Tung, Chien-Yi and Wang, Pei‐Ning and others},
title = {{Transcriptomic predictors of rapid progression from mild cognitive impairment to Alzheimer's disease}},
journal = {Alzheimer s Research \& Therapy},
year = {2025},
doi = {10.1186/s13195-024-01651-0},
pmid = {39754267},
url = {https://doi.org/10.1186/s13195-024-01651-0}
}
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