Evidence map›Paper›PMID 27992860›Full record

ReviewAging2016

Proteomic profiling of mitochondria: what does it tell us about the ageing brain?

Thomas Ingram, Lisa Chakrabarti

Open access · hybridAbstract readReview
In one paragraph

Review in Aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. The aggregate proteome ofFrontiers in aging neuroscience · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Isolated Mitochondrial Preparations andCurrent neuropharmacology · 2023
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Organelle-Specific Autophagy in Cellular Aging and Rejuvenation.Advances in geriatric medicine and research · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Mitoproteomics: Tackling Mitochondrial Dysfunction in Human Disease.Oxidative medicine and cellular longevity · 2018
    Review
  20. 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

2 authors at 1 institution in 1 country.

Thomas IngramSVMS, Faculty of Medicine, University of Nottingham, Sutton Bonington, LE12 5RD, UK.
Lisa ChakrabartiSVMS, Faculty of Medicine, University of Nottingham, Sutton Bonington, LE12 5RD, UK.
University of Nottingham · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J014508/1
6 · The paper itself

Abstract

Mitochondrial dysfunction is evident in numerous neurodegenerative and age-related disorders. It has also been linked to cellular ageing, however our current understanding of the mitochondrial changes that occur are unclear. Functional studies have made some progress reporting reduced respiration, dynamic structural modifications and loss of membrane potential, though there are conflicts within these findings. Proteomic analyses, together with functional studies, are required in order to profile the mitochondrial changes that occur with age and can contribute to unravelling the complexity of the ageing phenotype. The emergence of improved protein separation techniques, combined with mass spectrometry analyses has allowed the identification of age and cell-type specific mitochondrial changes in energy metabolism, antioxidants, fusion and fission machinery, chaperones, membrane proteins and biosynthesis pathways. Here, we identify and review recent data from the analyses of mitochondria from rodent brains. It is expected that knowledge gained from understanding age-related mitochondrial changes of the brain should lead to improved biomarkers of normal ageing and also age-related disease progression.

Indexed as

ProteomicsAgingAnimalsBiomarkersBrainMitochondriaTranscriptomeBiomarkersagingmitochondriaproteomics

Identifiers

PMID27992860
PMCPMC5270661
OpenAlexW2561412699

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.