Evidence map›Paper›PMID 26257647›Full record

ArticleFrontiers in aging neuroscience2015

Role of diffuse low-level heteroplasmy of mitochondrial DNA in Alzheimer's disease neurodegeneration.

Tiziana Casoli, Liana Spazzafumo, Giuseppina Di Stefano, Fiorenzo Conti

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. SARS-CoV-2 Morbidity in the CNS and the Aged Brain Specific Vulnerability.International journal of molecular sciences · 2022
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  16. Mitochondria, Cybrids, Aging, and Alzheimer's Disease.Progress in molecular biology and translational science · 2017
    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

4 authors at 2 institutions in 1 country.

Tiziana CasoliCenter for Neurobiology of Aging, INRCA IRCCS Ancona, Italy.
Liana SpazzafumoCenter of Biostatistics, INRCA IRCCS Ancona, Italy.
Giuseppina Di StefanoCenter for Neurobiology of Aging, INRCA IRCCS Ancona, Italy.
Fiorenzo ContiCenter for Neurobiology of Aging, INRCA IRCCS Ancona, Italy ; Department of Experimental and Clinical Medicine, Section of Neuroscience and Cell Biology, Università Politecnica delle Marche Ancona, Italy.
Istituto Nazionale di Riposo e Cura per Anziani · ITMarche Polytechnic University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most common form of dementia in the elderly. The vast majority of cases are not linked to a known genetic defect and the molecular mechanisms underlying AD pathogenesis are still elusive. Evidence suggests that mitochondrial dysfunction is a prominent feature of the disease, and that mitochondrial DNA (mtDNA) alterations may represent a possible starting point of the pathophysiological cascade. Although specific mtDNA alterations have been reported in AD patients both in brain and peripheral tissues, such as D-loop mutations, 4977-bp deletion and poly-C tract D310 cytosine insertion, a generalized subtle allelic shift has also been demonstrated. This shift is significant for a few nucleotide positions (nps), but it is also detectable for most nps, although at a lower level. As single allelic substitutions can unlikely be determinant, it is proposed that the combination of all of them could lead to a less efficient oxidative phosphorylation, thus influencing AD development and course.

Indexed as

agingalleleAlzheimer’s diseaseheteroplasmyMitoChipmtDNAmutation

Identifiers

PMID26257647
PMCPMC4511837
OpenAlexW1539345444

What OpenQuestion holds

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Registered trials

None linked

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.