Evidence map›Paper›PMID 28626023›Full record

ArticlePhysiological genomics2017

Microarray analysis of aging-associated immune system alterations in the rostral ventrolateral medulla of F344 rats.

Sivasai Balivada, Chanran K Ganta, Yongqing Zhang, Hitesh N Pawar, Richard J Ortiz, Kevin G Becker, Arshad M Khan, Michael J Kenney

Open access · bronzeAbstract read
In one paragraph

Article in Physiological genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Sivasai BalivadaDepartment of Biological Sciences, College of Science, University of Texas at El Paso, El Paso, Texas; sbalivada@utep.edu.ORCID http://orcid.org/0000-0002-7852-4627
Chanran K GantaDepartment of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, Kansas; and.
Yongqing ZhangGene Expression and Genomics Unit, National Institute on Aging, Baltimore, Maryland.
Hitesh N PawarDepartment of Biological Sciences, College of Science, University of Texas at El Paso, El Paso, Texas.
Richard J OrtizDepartment of Biological Sciences, College of Science, University of Texas at El Paso, El Paso, Texas.
Kevin G BeckerGene Expression and Genomics Unit, National Institute on Aging, Baltimore, Maryland.
Arshad M KhanDepartment of Biological Sciences, College of Science, University of Texas at El Paso, El Paso, Texas.
Michael J KenneyDepartment of Biological Sciences, College of Science, University of Texas at El Paso, El Paso, Texas.
The University of Texas at El Paso · USInstitute on Aging · USKansas State University · US

Funding

Analysis of complex biological systems by microarray based gene expressionZICAG000616 · NIA · NATIONAL INSTITUTE ON AGING · PI DE, SUPRIYO · 2009 to 2025
$15.5M
Sympathetic Neural Regulation and Aging: Medullary Mechanisms and StrategiesR01AG041948 · NIA · UNIVERSITY OF TEXAS EL PASO · PI KENNEY, MICHAEL J · 2012 to 2015
$1.5M
NIA NIH HHS R01 AG041948
6 · The paper itself

Abstract

The rostral ventrolateral medulla (RVLM) is an area of the brain stem that contains diverse neural substrates that are involved in systems critical for physiological function. There is evidence that aging affects some neural substrates within the RVLM, although age-related changes in RVLM molecular mechanisms are not well established. The goal of the present study was to characterize the transcriptomic profile of the aging RVLM and to test the hypothesis that aging is associated with altered gene expression in the RVLM, with an emphasis on immune system associated gene transcripts. RVLM tissue punches from young, middle-aged, and aged F344 rats were analyzed with Agilent's whole rat genome microarray. The RVLM gene expression profile varied with age, and an association between chronological age and specific RVLM gene expression patterns was observed [

Indexed as

AgingAnimalsBlood PressureHeart RateMedulla OblongataMicroarray AnalysisRatsRats, Inbred F344Rats, Sprague-DawleyTranscriptomeagingneuro-immunology, microarraysrostral ventrolateral medullatranscriptomics

Identifiers

PMID28626023
PMCPMC5582943
OpenAlexW2625411613

What OpenQuestion holds

Textmetadata
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.