Evidence map›Paper›PMID 41844622›Full record

ArticleNature communications2026

Structural evolution of carbon frameworks realizes in vitro interfacial transport in metabolically reprogrammed senescent cells for senolysis.

Xuelian Wang, Hanyu Ma, Yongqiang Li, Liangfeng Chen, Caichao Ye, Yuhao Zhao, Hang Wang, Wanting Fu, Chen Yu, Fei Wang and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

14 authors.

Xuelian Wang *Department of Geriatrics, Xinhua Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.ORCID http://orcid.org/0000-0002-8361-1944
Hanyu Ma *Department of Geriatrics, Xinhua Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Yongqiang Li *State Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, People's Republic of China.ORCID http://orcid.org/0000-0002-3338-1845
Liangfeng Chen *State Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, People's Republic of China.
Caichao YeAcademy for Advanced Interdisciplinary Studies and Department of Materials Science and Engineering, Guangdong Provincial Key Laboratory of Computational Science and Material Design, Southern University of Science and Technology, Shenzhen, People's Republic of China.ORCID http://orcid.org/0000-0002-9197-8922
Yuhao ZhaoDepartment of Geriatrics, Xinhua Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Hang WangState Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, People's Republic of China.
Wanting FuDepartment of Geriatrics, Xinhua Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Chen YuState Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, People's Republic of China.
Fei WangDepartment of Geriatrics, Xinhua Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Siwei YangState Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, People's Republic of China. yangsiwei@mail.sim.ac.cn.ORCID http://orcid.org/0000-0002-5227-8210
Yuli KangDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China. kangyuli@hotmail.com.
Guqiao DingState Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, People's Republic of China. gqding@mail.sim.ac.cn.ORCID http://orcid.org/0000-0003-1674-3477
Zhen LiDepartment of Geriatrics, Xinhua Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China. lizhen8367@xinhuamed.com.cn.ORCID http://orcid.org/0009-0006-4384-6358

Funding

National Natural Science Foundation of China (National Science Foundation of China) 12404248National Natural Science Foundation of China (National Science Foundation of China) 82100426National Natural Science Foundation of China (National Science Foundation of China) 82101650Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 21YF1436800Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 22ZR1440900Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 23YF1455800
6 · The paper itself

Abstract

Integrating the diagnostic and therapeutic functions of drugs poses challenges due to specific structural design requirements. However, the trial-and-error dilemma in performance-driven structural evolution of nanomaterials is unsatisfactory. Here, we propose a strategy using graphene quantum dots with sp

Indexed as

Carbon NanomaterialsCellular SenescenceCarbonCarbon Quantum DotsGraphiteHumansMachine LearningMetabolic ReprogrammingQuantum DotsStructure-Activity RelationshipCarbonGraphite

Identifiers

PMID41844622
PMCPMC13294479

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.