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FDG-PET brain glucose hypometabolism predicts Alzheimer's disease progression pathways in cognitively normal adults: A longitudinal competing risks modeling
Mustafa S. Alhasan, Ayman S. Alhasan, James Michael Milburn, Mohammed Khalil, Abdullah Almaghraby, Omar A. Alharthi, Seham Hamoud, Muhammed Amir Essibayi et al.. Metabolism Open, 2025-09-27
Topic: Amyloid, tau and blood-test diagnosis
Plain-language summary
Four progression pathways were concluded from our analyses, cognitive stability (32.8 %), sequential MCI-only decline (34.9 %), accelerated MCI-to-dementia progression (15.8 %), and rapid direct conversion (16.5 %). Brain glucose hypometabolism determined pathway selection with significant effects: participants with severe hypometabolism (FDG z-score < -0.5) demonstrated 7.4-fold acceleration in direct conversion velocity compared to preserved metabolism (17.12 vs 2.31 per 100 person-years, P-value<0.001). Pathway prediction models achieved excellent discrimination for direct conversion (AUC = 0.994) and acceptable performance for sequential pathways (AUC = 0.680). Metabolic phenotyping demonstrated peculiar vulnerability profiles, cognitive stability maintained metabolic reserve (FDG +0.57 ± 0.58), while rapid converters demonstrated metabolic failure patterns (FDG -0.18 ± 0.88). Based on our modeling findings, we observed that brain glucose metabolism could serve as a pathway determinant rather than simply a decline predictor, which could play a promising role in precision medicine approaches to Alzheimer's disease prevention. FDG-PET biomarkers can stratify individuals for pathway-specific interventions, transforming reactive dementia care into proactive pathway-guided management.
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APA 7th
Alhasan, M. S., Alhasan, A. S., Milburn, J. M., Khalil, M., Almaghraby, A., Alharthi, O. A., et al. (2025). FDG-PET brain glucose hypometabolism predicts Alzheimer's disease progression pathways in cognitively normal adults: A longitudinal competing risks modeling. Metabolism Open. https://doi.org/10.1016/j.metop.2025.100400
Vancouver
Alhasan MS, Alhasan AS, Milburn JM, Khalil M, Almaghraby A, Alharthi OA, et al. FDG-PET brain glucose hypometabolism predicts Alzheimer's disease progression pathways in cognitively normal adults: A longitudinal competing risks modeling. Metabolism Open. 2025. doi:10.1016/j.metop.2025.100400. PMID: 41089337.
BibTeX
@article{alhasan2025-41089337,
author = {Alhasan, Mustafa S. and Alhasan, Ayman S. and Milburn, James Michael and Khalil, Mohammed and Almaghraby, Abdullah and Alharthi, Omar A. and Hamoud, Seham and Essibayi, Muhammed Amir and others},
title = {{FDG-PET brain glucose hypometabolism predicts Alzheimer's disease progression pathways in cognitively normal adults: A longitudinal competing risks modeling}},
journal = {Metabolism Open},
year = {2025},
doi = {10.1016/j.metop.2025.100400},
pmid = {41089337},
url = {https://doi.org/10.1016/j.metop.2025.100400}
}
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.
Key findings
- Four progression pathways were concluded from our analyses, cognitive stability (32.8 %), sequential MCI-only decline (34.9 %), accelerated MCI-to-dementia progression (15.8 %), and rapid direct conversion (16.5 %).
- Brain glucose hypometabolism determined pathway selection with significant effects: participants with severe hypometabolism (FDG z-score < -0.5) demonstrated 7.4-fold acceleration in direct conversion velocity compared to preserved metabolism (17.12 vs 2.31 per 100 person-years, P-value<0.001).
- Pathway prediction models achieved excellent discrimination for direct conversion (AUC = 0.994) and acceptable performance for sequential pathways (AUC = 0.680).
- Metabolic phenotyping demonstrated peculiar vulnerability profiles, cognitive stability maintained metabolic reserve (FDG +0.57 ± 0.58), while rapid converters demonstrated metabolic failure patterns (FDG -0.18 ± 0.88).
- Based on our modeling findings, we observed that brain glucose metabolism could serve as a pathway determinant rather than simply a decline predictor, which could play a promising role in precision medicine approaches to Alzheimer's disease prevention.
Why it matters
This longitudinal modeling study found four progression pathways and showed that severe brain glucose hypometabolism on FDG-PET was linked to a 7.4-fold faster direct conversion to dementia compared with preserved metabolism. It does not test a treatment or cure, but it suggests FDG-PET may help stratify people for pathway-specific prevention approaches.
Study details
- Study designlongitudinal study
- Participants1,136
- Effect sizeAUC = 0.994; AUC = 0.680
- Evidence strengthModerate
How this study scored 61/100
Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for randomized / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Metabolism Open) |
| Journal's citation record | 0 / 4 | Metabolism Open: journal h-index 37 (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 | 3 / 4 | 1,136 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) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 2 / 7 | Cited 11 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 3.7 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 3 / 6 | Cited 7.0× 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 11 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Ahmed Y. Azzam: h-index 58 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | The University of Queensland: institution h-index 1,516 (OpenAlex) |
| Multicenter collaboration | 3 / 3 | OpenAlex lists 10 institution(s) in 4 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 41089337) |
| Free to read | 2 / 2 | Free to read |
| Total | 61 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1016/j.metop.2025.100400
- PubMed: 41089337
- Original source →
- Free full text: Metabolism Open →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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