Evidence map›Paper›PMID 27545843›Full record

ArticleAging2016

Aging: a portrait from gene expression profile in blood cells.

Elisa Calabria, Emilia Maria Cristina Mazza, Kenneth Allen Dyar, Silvia Pogliaghi, Paolo Bruseghini, Carlo Morandi, Gian Luca Salvagno, Matteo Gelati, Gian Cesare Guidi, Silvio Bicciato and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
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  6. Review
  7. Article
  8. Molecular Mechanisms for Changing Brain Connectivity in Mice and Humans.International journal of molecular sciences · 2023
    Article
  9. Article
  10. Transcriptomics for radiation biodosimetry: progress and challenges.International journal of radiation biology · 2023
    Review
  11. Review
  12. Article
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  15. 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

13 authors at 3 institutions in 3 countries.

Elisa CalabriaDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Emilia Maria Cristina MazzaDepartment Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Kenneth Allen DyarVIMM, Venetian Institute of Molecular Medicine, Padova, Italy.
Silvia PogliaghiDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Paolo BruseghiniDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Carlo MorandiDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Gian Luca SalvagnoDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Matteo GelatiDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Gian Cesare GuidiDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Silvio BicciatoDepartment Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Stefano SchiaffinoVIMM, Venetian Institute of Molecular Medicine, Padova, Italy.
Federico SchenaDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Carlo CapelliDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
University of Verona · ITUniversity of Modena and Reggio Emilia · ITVeneto Institute of Molecular Medicine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of reliable biomarkers of aging is important not only to monitor the effect of interventions and predict the timing of pathologies associated with aging but also to understand the mechanisms and devise appropriate countermeasures. Blood cells provide an easily available tissue and gene expression profiles from whole blood samples appear to mirror disease states and some aspects of the aging process itself. We report here a microarray analysis of whole blood samples from two cohorts of healthy adult and elderly subjects, aged 43±3 and 68±4 years, respectively, to monitor gene expression changes in the initial phase of the senescence process. A number of significant changes were found in the elderly compared to the adult group, including decreased levels of transcripts coding for components of the mitochondrial respiratory chain, which correlate with a parallel decline in the maximum rate of oxygen consumption (VO2max), as monitored in the same subjects. In addition, blood cells show age-related changes in the expression of several markers of immunosenescence, inflammation and oxidative stress. These findings support the notion that the immune system has a major role in tissue homeostasis and repair, which appears to be impaired since early stages of the aging process.

Indexed as

Gene ExpressionTranscriptomeAdultAgedAge FactorsAgingBiomarkersBlood CellsFemaleGene Expression ProfilingHumansInflammationMaleMicroarray AnalysisMiddle AgedOxidative StressBiomarkersagingblood cellsexerciseimmunosenescencemicroarray

Identifiers

PMID27545843
PMCPMC5032697
OpenAlexW2517884257

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.