In one paragraphArticle in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
16 authors.
Kristina BubbDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-8457-0566 Giovanni RigoniDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Polyxeni PapadeaDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-5131-8196 Gianluigi PirontiDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-9401-3029 Jelena MisicDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-1562-0582 David AlsinaDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Diana Rubalcava-GraciaDepartamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City, México.ORCID 0000-0002-4615-7375 Daniel C AnderssonDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-4548-702X Roberta FilogranaDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6581-9426 Camilla KoolmeisterDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-4052-3442 Patrick GiavaliscoMetabolomics Core Facility, Max Planck Institute for Biology of Ageing, Cologne, Germany.ORCID 0000-0002-4636-1827 Anna WredenbergDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2500-6121 Matthias MannProteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-1292-4799 Florian A RosenbergerProteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-4604-6170 Nils-Göran LarssonDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-5100-996X Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Mitochondrial DNA (mtDNA) mutations accumulate with age, but their mechanistic contribution to aging remains unclear. The classical mtDNA mutator mouse expresses a proofreading-deficient mtDNA polymerase (POLG
Indexed as
DNA, MitochondrialHeart FailureImmunityMutationMyocytes, CardiacOxidative PhosphorylationAgingAnimalsDNA Polymerase gammaMiceDNA, MitochondrialDNA Polymerase gammaPolg protein, mouse
Identifiers
PMID42696572
PMCPMC13544208
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