Evidence map›Paper›PMID 42614490›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Associations of proteomic and epigenetic aging clocks with Alzheimer's disease phenotypes: An exploratory analysis.

Cindy David Sarmento, Gabin Drouard, Toni T Saari, Aino Aaltonen, Aino Heikkinen, Mikaela Hukkanen, Teemu Palviainen, Sanna-Kaisa Herukka, Tarja Kokkola, Sari Kärkkäinen and 7 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Cindy David SarmentoInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.ORCID https://orcid.org/0000-0003-1762-500X
Gabin DrouardInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.
Toni T SaariInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.
Aino AaltonenInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.
Aino HeikkinenInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.
Mikaela HukkanenInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.
Teemu PalviainenInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.
Sanna-Kaisa HerukkaInstitute of Clinical Medicine/Neurology University of Eastern Finland Kuopio Finland.
Tarja KokkolaInstitute of Clinical Medicine/Neurology University of Eastern Finland Kuopio Finland.
Sari KärkkäinenInstitute of Clinical Medicine/Neurology University of Eastern Finland Kuopio Finland.
FinnGen
Aarno PalotieInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.
Valtteri JulkunenInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.
Heiko RunzInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.
Jaakko KaprioInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.
Miina OllikainenInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.
Eero VuoksimaaInstitute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionProteomic aging clocks detect disease-related systemic and organ-specific changes and are easily accessible by minimally invasive blood draws. However, their potential in Alzheimer's disease (AD) assessment remains unestablished.

methodsWe investigated associations of proteomic and epigenetic clocks with AD-related blood-based biomarkers and cognitive tests. Omics were generated from blood samples of 153 cognitively unimpaired individuals (average age 62 years); blood biomarkers and cognition were measured approximately nine years after.

resultsProteomic clocks explained up to 23% of variance in cognitive and biomarker measures not explained by epigenetics. Accelerated systemic and brain-specific proteomic aging were linked to poorer cognition and higher levels of plasma neurofilament light chain. Exploratory interaction analyses suggested weaker proteomic aging-cognition associations in individuals with higher genetic liability for diabetes. DISCUSSION: Our study illustrates the potential of plasma proteomic clocks in detecting AD-related phenotypes. However, co-morbidities possibly constitute confounding factors, compromising the performance of proteomic aging models.

Indexed as

agingAlzheimer's diseasecognitionepigeneticsplasma biomarkersproteomics

Identifiers

PMID42614490
PMCPMC13482165

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.