Evidence map›Paper›PMID 39680188›Full record

ArticlePlant foods for human nutrition (Dordrecht, Netherlands)2024

Ameliorating Oxidative Stress-Aggravated Adipose Tissue Senescence by Sesamol in Aged Obese Mice via Nrf2/p38MAPK Signaling.

Yongyan Tang, Wenya Zheng, Jingfang Chen, Yan Xie, Jinxin Yang, Zhipeng Wang, Hong Qin

Abstract read
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In one paragraph

Article in Plant foods for human nutrition (Dordrecht, Netherlands), 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Effect ofInternational journal of endocrinology · 2026
    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

7 authors.

Yongyan Tang *Xiangya School of Public Health, Central South University, Changsha, China.
Wenya Zheng *Xiangya School of Public Health, Central South University, Changsha, China.
Jingfang ChenChangsha Center for Disease Control and Prevention, Changsha, China.
Yan XieXiangya School of Public Health, Central South University, Changsha, China.
Jinxin YangXiangya School of Public Health, Central South University, Changsha, China.
Zhipeng WangXiangya School of Public Health, Central South University, Changsha, China.
Hong QinXiangya School of Public Health, Central South University, Changsha, China. qinhong@csu.edu.cn.ORCID http://orcid.org/0000-0002-4578-5118

Funding

The National Natural Science Foundation of China No.82073556 and No. 82204043The Postgraduate Research and Innovation Project of Central South University No.1053320222467 and No.1053320221648
6 · The paper itself

Abstract

Adipocyte senescence is one of the major common features correlated with aging, which can also lead to obesity, and aggravated oxidative stress contributes to cell senescence. Sesamol, a lignan from plants found in sesame, has been proven to alleviate obesity. However, the effects and mechanisms of sesamol on adipose tissue senescence remain unclear. In the current research, we used an aged model of obesity by feeding old mice high-fat diet (HFD), and a senescent cell model by treating 3T3-L1 mature adipocytes with repeated exposure to hydrogen peroxide (H

Indexed as

Adipose TissueBenzodioxolesCellular SenescenceDiet, High-FatNF-E2-Related Factor 2ObesityOxidative Stressp38 Mitogen-Activated Protein KinasesPhenols3T3-L1 CellsAdipocytesAgingAnimalsAntioxidantsHydrogen PeroxideMaleAntioxidantsBenzodioxolesHydrogen PeroxideNfe2l2 protein, mouseNF-E2-Related Factor 2p38 Mitogen-Activated Protein KinasesPhenolssesamolAdipose tissue senescenceNrf2Oxidative stressp38MAPKSesamol

Identifiers

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.