Evidence map›Paper›PMID 33178427›Full record

ReviewToxicology research2020

Cellular and molecular mechanisms of xenobiotics-induced premature senescence.

Yuehui Liang, Ningjuan Liang, Lirong Yin, Fang Xiao

Open access · bronzeAbstract readReview
In one paragraph

Review in Toxicology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

4 authors at 1 institution in 1 country.

Yuehui LiangDepartment of Health Toxicology, Xiangya School of Public Health, Central South University, No. 238 Shangmayuanling Road, Kaifu District, Changsha, Hunan 410078, PR China.ORCID 0000-0002-2180-2235
Ningjuan LiangDepartment of Health Toxicology, Xiangya School of Public Health, Central South University, No. 238 Shangmayuanling Road, Kaifu District, Changsha, Hunan 410078, PR China.
Lirong YinDepartment of Health Toxicology, Xiangya School of Public Health, Central South University, No. 238 Shangmayuanling Road, Kaifu District, Changsha, Hunan 410078, PR China.
Fang XiaoDepartment of Health Toxicology, Xiangya School of Public Health, Central South University, No. 238 Shangmayuanling Road, Kaifu District, Changsha, Hunan 410078, PR China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premature senescence, which share common features with replicative senescence such as morphology, senescence-associated galactosidase (SA-β-gal) activity, cell cycle regulation, and gene expression, can be triggered by the exposure of various xenobiotics including environmental pollutant, peroxides, and anticancer drugs. The exact mechanisms underlying the senescence onset and stabilization are still obscure. In this review, we summarized the possible cellular and molecular mechanisms of xenobiotics-induced premature senescence, including induction of reactive oxygen species (ROS), tumor suppressors, and DNA damage; disequilibrium of calcium homeostasis; activation of transforming growth factor-β (TGF-β); and blockage of aryl hydrocarbon receptor (AHR) pathway. The deeper understanding of the molecular mechanisms underlying xenobiotics-induced senescence may shed light on new therapeutic strategies for age-related pathologies and extend healthy lifespan.

Indexed as

anticancer drugscellular and molecular mechanismspremature senescencereactive oxygen speciesxenobiotics

Identifiers

PMID33178427
PMCPMC7640926
OpenAlexW3096951827

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.