Evidence map›Paper›PMID 38289854›Full record

ArticleMetallomics : integrated biometal science2024

Impact of aging on copper isotopic composition in the murine brain.

Esther Lahoud, Frédéric Moynier, Tu-Han Luu, Brandon Mahan, Marie Le Borgne

Abstract read
In one paragraph

Article in Metallomics : integrated biometal science, 2024. 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

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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. Copper isotope shifts in biofluids track Alzheimer's pathology.Alzheimer's & dementia (Amsterdam, Netherlands)
    Article
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

5 authors.

Esther LahoudUniversité Paris Cité, Institut de Physique du Globe de Paris, 1 rue Jussieu 75005, Paris, France.ORCID 0009-0007-3009-3235
Frédéric MoynierUniversité Paris Cité, Institut de Physique du Globe de Paris, 1 rue Jussieu 75005, Paris, France.ORCID 0000-0003-4321-5581
Tu-Han LuuUniversité Paris Cité, Institut de Physique du Globe de Paris, 1 rue Jussieu 75005, Paris, France.ORCID 0000-0003-2121-3702
Brandon MahanSchool of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Melbourne, Australia.ORCID 0000-0002-5371-0730
Marie Le BorgneUniversité Paris Cité, LVTS, Inserm U1148, F-75018, Paris, France.

Funding

European Research Council 101081580
6 · The paper itself

Abstract

Aging is the main risk factor for Alzheimer's disease (AD). AD is linked to alterations in metal homeostasis and changes in stable metal isotopic composition can occur, possibly allowing the latter to serve as relevant biomarkers for potential AD diagnosis. Copper stable isotopes are used to investigate changes in Cu homeostasis associated with various diseases. Prior work has shown that in AD mouse models, the accumulation of 63Cu in the brain is associated with the disease's progression. However, our understanding of how the normal aging process influences the brain's isotopic composition of copper remains limited. In order to determine the utility and predictive power of Cu isotopes in AD diagnostics, we aim-in this study-to develop a baseline trajectory of Cu isotopic composition in the normally aging mouse brain. We determined the copper concentration and isotopic composition in brains of 30 healthy mice (WT) ranging in age from 6 to 12 mo, and further incorporate prior data obtained for 3-mo-old healthy mice; this range approximately equates to 20-50 yr in human equivalency. A significant 65Cu enrichment has been observed in the 12-mo-old mice compared to the youngest group, concomitant with an increase in Cu concentration with age. Meanwhile, literature data for brains of AD mice display an enrichment in 63Cu isotope compared to WT. It is acutely important that this baseline enrichment in 65Cu is fully constrained and normalized against if any coherent diagnostic observations regarding 63Cu enrichment as a biomarker for AD are to be developed.

Indexed as

AgingBrainCopperAlzheimer DiseaseAnimalsHumansMaleMiceMice, Inbred C57BLCopperagingAlzheimer's disease, biomarkercopper isotopes, MC–ICP–MS, metallomics

Identifiers

PMID38289854
PMCPMC11494240

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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.