Evidence map›Paper›PMID 27655681›Full record

ArticleOncotarget2016

Blood RNA expression profiles undergo major changes during the seventh decade.

Marius Gheorghe, Claudia Schurmann, Marjolein J Peters, André G Uitterlinden, Albert Hofman, Reiner Biffar, Georg Homuth, Uwe Völker, Joyce B J van Meurs, Vered Raz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2016. 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

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

1 citing paper in PubMed.

  1. 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

10 authors.

Marius GheorgheDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam, 3000 CA, The Netherlands.
Claudia SchurmannDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475 DE, Germany.
Marjolein J PetersDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3000 CA, The Netherlands.
André G UitterlindenDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3000 CA, The Netherlands.
Albert HofmanDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3000 CA, The Netherlands.
Reiner BiffarDepartment of Prosthodontics, Gerodontology and Biomaterials, University Medicine Greifswald, Greifswald, 17475 DE, Germany.
Georg HomuthDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475 DE, Germany.
Uwe VölkerDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475 DE, Germany.
Joyce B J van MeursDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3000 CA, The Netherlands.
Vered RazDepartment of Human and Clinical Genetics, Leiden University Medical Centre, Leiden, 2300 RC, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide alterations in RNA expression profiles are age-associated. Yet the rate and temporal pattern of those alterations are poorly understood. We investigated temporal changes in RNA expression profiles in blood from population-based studies using a quadratic regression model. Comparative analysis between two independent studies was carried out after sample-weighting that downsized differences in sample distribution over age between the datasets. We show that age-associated expression profiles are clustered into two major inclinations and transcriptional alternations occur predominantly from the seventh decade onwards. The age-associated genes in blood are enriched in functional groups of the translational machinery and the immune system. The results are highly consistent between the two population-based studies indicating that our analysis overcomes potential confounders in population-based studies. We suggest that the critical age when major transcriptional alterations occur could help understanding aging and disease risk during adulthood.

Indexed as

AgedAged, 80 and overAge FactorsAgingDatasets as TopicFemaleHumansMaleMiddle AgedRegression AnalysisRNATranscription, GeneticRNAblood agingb-spline regression modelpopulation based studiesRNA expression profilessample weighting

Identifiers

PMID27655681
PMCPMC5342083

What Socratic 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 Socratic graph.