Evidence map›Paper›PMID 41373554›Full record

ArticleInternational journal of molecular sciences2025

Multi-Target Botanical Complex Attenuates Cellular Senescence via Bidirectional P21/P53/SIRT1 Regulation: Dual Model Validation.

Jiaqin Wu, Nanjia Dongzhu, Chengzhou Zhao, Jialin Liang, Ningbo Wang, Dengdeng Suonan, Shengnan Sun

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jiaqin WuCollege of Pharmacy, Qinghai University, Xining 810016, China.
Nanjia DongzhuCollege of Tibetan Medicine, Qinghai University, Xining 810016, China.
Chengzhou ZhaoCollege of Tibetan Medicine, Qinghai University, Xining 810016, China.
Jialin LiangCollege of Tibetan Medicine, Qinghai University, Xining 810016, China.
Ningbo WangCollege of Tibetan Medicine, Qinghai University, Xining 810016, China.
Dengdeng SuonanCollege of Pharmacy, Qinghai University, Xining 810016, China.
Shengnan SunCollege of Pharmacy, Qinghai University, Xining 810016, China.ORCID 0009-0005-3842-8090

Funding

the 2023 Bureau-level Scientific Research Project of the Tibetan Medicine Administration of the Xizang Autonomous Region JJKT2023014the 2023 Scientific Research Project on Chinese and Tibetan Medicine of Qinghai Province J20230016the Applied Basic Research Project of Qinghai Province 2024-ZJ-737the National Natural Science Foundation of China 32160233the Qinghai University Experiment (Practice) Course Construction Project SYKC-2024-13the Tibetan Medicine Zuotai Inheritance and Innovation Fund Project 2024-ZT-Z-1
6 · The paper itself

Abstract

Cellular senescence is a pivotal driver of aging and age-related diseases. This study aims to systematically investigate the anti-senescence effects and molecular mechanisms of a multi-component botanical complex (SBT) using both a D-galactose-induced senescence model in H9c2 cardiomyocytes and an H

Indexed as

Cellular SenescenceCyclin-Dependent Kinase Inhibitor p21Plant ExtractsSirtuin 1Tumor Suppressor Protein p53AnimalsAntioxidantsApoptosisCell LineCell SurvivalGalactoseHydrogen PeroxideMyocytes, CardiacOxidative StressRatsSignal TransductionAntioxidantsCyclin-Dependent Kinase Inhibitor p21GalactoseHydrogen PeroxidePlant ExtractsSirtuin 1Tumor Suppressor Protein p53apoptosisbidirectional regulationbotanical complexcardiomyocytescellular senescencemulti-targetP21/P53/SIRT1 axissenotherapeuticszebrafish model

Identifiers

PMID41373554
PMCPMC12692117

What OpenQuestion holds

Textmetadata
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.