Evidence map›Paper›PMID 40723431›Full record

ArticleBiology2025

Dynamic Network Driver Analysis Identifies Master Factors Associated with Progression of Solar Lentigines.

Deyu Cai, Hong Zhang, Chengming Zhang, Xue Xiao, Xiao Cui, Xuelan Gu, Luonan Chen

Abstract read
In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Regenerative biomaterials · 2026
    Review
  2. 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.

Deyu CaiSchool of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.
Hong ZhangUnilever Research & Development Centre Shanghai, Shanghai 200335, China.
Chengming ZhangInternational Research Center for Neurointelligence, The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0001-8764-2521
Xue XiaoUnilever Research & Development Centre Shanghai, Shanghai 200335, China.
Xiao CuiUnilever Research & Development Centre Shanghai, Shanghai 200335, China.
Xuelan GuUnilever Research & Development Centre Shanghai, Shanghai 200335, China.ORCID 0009-0008-3319-4135
Luonan ChenKey Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.

Funding

Hangzhou Institute for advanced study of UCAS 2024HIAS-P004JST Moonshot R&D JPMJMS2021National Key R&D Program of China 2022YFA1004800Natural Science Foundation of China T2341007, T2350003, 12131020, 42450084, 42450135, 12326614, and 12426310Science and Technology Commission of Shanghai Municipality 23JS1401300Zhejiang Province Vanguard Goose-Leading Initiative 2025C01114
6 · The paper itself

Abstract

Solar lentigines, commonly caused by prolonged ultraviolet exposure, raise the risk of skin disorders and remain challenging to manage due to their complex mechanisms. Understanding the molecular mechanisms driving the progression of solar lentigines is crucial for developing effective protective strategies. In this study, we introduced a novel method, Dynamic Network Driver (DND), which identifies upstream regulators that drive disease progression by integrating the Dynamic Network Biomarker (DNB) approach with network control theory. By applying DND to multi-omics data from solar lentigines subjects, we (1) identified the key drivers associated with solar lentigo progression, with their functions involved in differentiation and dermal-epidermal junction; and (2) highlighted

Indexed as

Dynamic Network Drivernetwork controlskin pigmentationsolar lentigines

Identifiers

PMID40723431
PMCPMC12292655

What OpenQuestion holds

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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.