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Organ aging signatures in the plasma proteome track health and disease
Oh HS, Rutledge J, Nachun D, Pálovics R, Abiose O, Moran-Losada P, Channappa D, Urey DY et al.. Nature, 2023-12-06
Topic: Genetics and APOE
Animal studies show aging varies between individuals as well as between organs within an individual 1-4 , but whether this is true in humans and its effect on age-related diseases is unknown. We utilized levels of human blood plasma proteins originating from specific organs to measure organ-specific aging differences in living individuals. Using machine learning models, we analysed aging in 11 major organs and estimated organ age reproducibly in five independent cohorts encompassing 5,676 adults across the human lifespan. We discovered nearly 20% of the population show strongly accelerated age in one organ and 1.7% are multi-organ agers. Accelerated organ aging confers 20-50% higher mortality risk, and organ-specific diseases relate to faster aging of those organs. We find individuals with accelerated heart aging have a 250% increased heart failure risk and accelerated brain and vascular aging predict Alzheimer's disease (AD) progression independently from and as strongly as plasma pTau-181 (ref. 5 ), the current best blood-based biomarker for AD. Our models link vascular calcification, extracellular matrix alterations and synaptic protein shedding to early cognitive decline. We introduce a simple and interpretable method to study organ aging using plasma proteomics data, predicting diseases and aging effects.
Key findings
- We discovered nearly 20% of the population show strongly accelerated age in one organ and 1.7% are multi-organ agers.
- Accelerated organ aging confers 20-50% higher mortality risk, and organ-specific diseases relate to faster aging of those organs.
- We find individuals with accelerated heart aging have a 250% increased heart failure risk and accelerated brain and vascular aging predict Alzheimer's disease (AD) progression independently from and as strongly as plasma pTau-181 (ref. 5 ), the current best blood-based biomarker for AD.
- Our models link vascular calcification, extracellular matrix alterations and synaptic protein shedding to early cognitive decline.
- We introduce a simple and interpretable method to study organ aging using plasma proteomics data, predicting diseases and aging effects.
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Study details
- Participants5,676
- Effect size1.7%
- Evidence strengthLow
How this study scored 62/100
Published in a top-tier journal. Scored zero for study design 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 36 of the 58 points we could judge it on, which is 62 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 10 / 10 | Tier 1 — top-tier general journal (Nature) |
| 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 | 3 / 4 | 5,676 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| 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 38057571) |
| Free to read | 2 / 2 | Free to read |
| Points | 36 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 36 of the 58 points we could judge it on is 62 out of 100. |
| Total | 62 / 100 | — |
What each of these 20 components measures, and what this score is not →
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APA 7th
Oh, H. S., Rutledge, J., Nachun, D., Pálovics, R., Abiose, O., Moran-Losada, P., et al. (2023). Organ aging signatures in the plasma proteome track health and disease. Nature. https://doi.org/10.1038/s41586-023-06802-1
Vancouver
Oh HS, Rutledge J, Nachun D, Pálovics R, Abiose O, Moran-Losada P, et al. Organ aging signatures in the plasma proteome track health and disease. Nature. 2023. doi:10.1038/s41586-023-06802-1. PMID: 38057571.
BibTeX
@article{oh2023-38057571,
author = {Oh, H. S. and Rutledge, J. and Nachun, D. and Pálovics, R. and Abiose, O. and Moran-Losada, P. and Channappa, D. and Urey, D. Y. and others},
title = {{Organ aging signatures in the plasma proteome track health and disease}},
journal = {Nature},
year = {2023},
doi = {10.1038/s41586-023-06802-1},
pmid = {38057571},
url = {https://doi.org/10.1038/s41586-023-06802-1}
}