Evidence map›Paper›PMID 27153548›Full record

ArticleOncotarget2016

RNA-Seq analysis reveals new evidence for inflammation-related changes in aged kidney.

Daeui Park, Byoung-Chul Kim, Chul-Hong Kim, Yeon Ja Choi, Hyoung Oh Jeong, Mi Eun Kim, Jun Sik Lee, Min Hi Park, Ki Wung Chung, Dae Hyun Kim and 7 more

Open access · diamondAbstract read
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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 18 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

17 authors at 5 institutions in 2 countries.

Daeui ParkMolecular Inflammation Research Center for Aging Intervention, Pusan National University, Busan, Korea.
Byoung-Chul KimMolecular Inflammation Research Center for Aging Intervention, Pusan National University, Busan, Korea.
Chul-Hong KimGenomicTree Inc., Daejeon, Korea.
Yeon Ja ChoiMolecular Inflammation Research Center for Aging Intervention, Pusan National University, Busan, Korea.
Hyoung Oh JeongMolecular Inflammation Research Center for Aging Intervention, Pusan National University, Busan, Korea.
Mi Eun KimDepartment of Biology, College of Natural Sciences, Chosun University, Gwangju, Korea.
Jun Sik LeeDepartment of Biology, College of Natural Sciences, Chosun University, Gwangju, Korea.
Min Hi ParkMolecular Inflammation Research Center for Aging Intervention, Pusan National University, Busan, Korea.
Ki Wung ChungMolecular Inflammation Research Center for Aging Intervention, Pusan National University, Busan, Korea.
Dae Hyun KimMolecular Inflammation Research Center for Aging Intervention, Pusan National University, Busan, Korea.
Jaewon LeeMolecular Inflammation Research Center for Aging Intervention, Pusan National University, Busan, Korea.
Dong-Soon ImMolecular Inflammation Research Center for Aging Intervention, Pusan National University, Busan, Korea.
Seokjoo YoonDepartment of Predictive Toxicology, Korea Institute of Toxicology, Daejeon, Korea.
Sunghoon LeePersonal Genomics Institute,Genome Research Foundation, Suwon, Korea.
Byung Pal YuDepartment of Physiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Jong BhakPersonal Genomics Institute,Genome Research Foundation, Suwon, Korea.
Hae Young ChungMolecular Inflammation Research Center for Aging Intervention, Pusan National University, Busan, Korea.
Pusan National University · KRChosun University · KRGenome Research Foundation · KRKorea University of Science and Technology · KRThe University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age-related dysregulated inflammation plays an essential role as a major risk factor underlying the pathophysiological aging process. To better understand how inflammatory processes are related to aging at the molecular level, we sequenced the transcriptome of young and aged rat kidney using RNA-Seq to detect known genes, novel genes, and alternative splicing events that are differentially expressed. By comparing young (6 months of age) and old (25 months of age) rats, we detected 722 up-regulated genes and 111 down-regulated genes. In the aged rats, we found 32 novel genes and 107 alternatively spliced genes. Notably, 6.6% of the up-regulated genes were related to inflammation (P < 2.2 × 10-16, Fisher exact t-test); 15.6% were novel genes with functional protein domains (P = 1.4 × 10-5); and 6.5% were genes showing alternative splicing events (P = 3.3 × 10-4). Based on the results of pathway analysis, we detected the involvement of inflammation-related pathways such as cytokines (P = 4.4 × 10-16), which were found up-regulated in the aged rats. Furthermore, an up-regulated inflammatory gene analysis identified the involvement of transcription factors, such as STAT4, EGR1, and FOSL1, which regulate cancer as well as inflammation in aging processes. Thus, RNA changes in these pathways support their involvement in the pro-inflammatory status during aging. We propose that whole RNA-Seq is a useful tool to identify novel genes and alternative splicing events by documenting broadly implicated inflammation-related genes involved in aging processes.

Indexed as

Alternative SplicingAgingAnimalsBiomarkersDown-RegulationEarly Growth Response Protein 1Feasibility StudiesFos-Related Antigen 1Gene Expression ProfilingInflammationKidneyMaleProto-Oncogene Proteins c-fosRatsRats, Sprague-DawleyRNABiomarkersEarly Growth Response Protein 1Egr1 protein, ratFos-Related Antigen 1Proto-Oncogene Proteins c-fosRNASTAT4 Transcription Factoragingalternative splicingdifferentially expressed genesGerotargetinflammationnovel genesRNA-Seq

Identifiers

PMID27153548
PMCPMC5058662
OpenAlexW2345897596

What OpenQuestion holds

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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.