Evidence map›Paper›PMID 28043053›Full record

ArticleRedox biology2017

The decay of Redox-stress Response Capacity is a substantive characteristic of aging: Revising the redox theory of aging.

Jiao Meng, Zhenyu Lv, Xinhua Qiao, Xiaopeng Li, Yazi Li, Yuying Zhang, Chang Chen

Open access · goldAbstract read
In one paragraph

Article in Redox biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 109 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

7 authors at 4 institutions in 1 country.

Jiao MengNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District, Beijing 100101, China.
Zhenyu LvNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, 19 Yuquan Road, Shijingshan District, Beijing 100049, China.
Xinhua QiaoNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, 19 Yuquan Road, Shijingshan District, Beijing 100049, China.
Xiaopeng LiNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, 19 Yuquan Road, Shijingshan District, Beijing 100049, China.
Yazi LiNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, 19 Yuquan Road, Shijingshan District, Beijing 100049, China.
Yuying ZhangNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District, Beijing 100101, China.
Chang ChenNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, 19 Yuquan Road, Shijingshan District, Beijing 100049, China; Beijing Institute for Brain Disorders, 10 Xitoutiao, Youanmen, Beijing 100069, China. Electronic address: changchen@moon.ibp.ac.cn.
Institute of Biophysics · CNUniversity of Chinese Academy of Sciences · CNChinese Academy of Sciences · CNChinese Institute for Brain Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is tightly associated with redox events. The free radical theory of aging indicates that redox imbalance may be an important factor in the aging process. Most studies about redox and aging focused on the static status of oxidative stress levels, there has been little research investigating differential responses to redox challenge during aging. In this study, we used Caenorhabditis elegans and human fibroblasts as models to compare differential responses to oxidative stress challenge in young and old individuals. In response to paraquat stress, young individuals generated more ROS and activated signaling pathways including p-ERK, p-AKT and p-AMPKα/β. After the initial response, young individuals then promoted NRF2 translocation and induced additional antioxidant enzymes and higher expression of phase II enzymes, including SOD, CAT, GPX, HO-1, GSTP-1and others, to maintain redox homeostasis. Moreover, young individuals also demonstrated a better ability to degrade damaged proteins by up-regulating the expression of chaperones and improving proteasome activity. Based on these data, we propose a new concept "Redox-stress Response Capacity (RRC)", which suggests cells or organisms are capable of generating dynamic redox responses to activate cellular signaling and maintain cellular homeostasis. The decay of RRC is the substantive characteristic of aging, which gives a new understand of the redox theory of aging.

Indexed as

AgingAMP-Activated Protein Kinase KinasesAnimalsCaenorhabditis elegansCatalaseCellular SenescenceChild, PreschoolExtracellular Signal-Regulated MAP KinasesFibroblastsGene Expression RegulationGlutathione PeroxidaseGlutathione S-Transferase piHeme Oxygenase-1HumansIsoenzymesMaleAMP-Activated Protein Kinase KinasesCatalaseExtracellular Signal-Regulated MAP KinasesGlutathione PeroxidaseGlutathione S-Transferase piHeme Oxygenase-1IsoenzymesNF-E2-Related Factor 2ParaquatProtein KinasesProto-Oncogene Proteins c-aktSuperoxide DismutaseAgingOxidative stressRedoxRedox-stress Response CapacityRRC

Identifiers

PMID28043053
PMCPMC5219648
OpenAlexW2565425600

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.