Evidence map›Paper›PMID 40893297›Full record

ArticleACS omega2025

Crystalline Covalent Organic Framework Paper for Sweating Disorder Disease Analysis.

Yichen Chen, Fan Zhou, Mengwen Yan, Xiao-Rui Ren, Runqian Li, Fuchao Yu, Junjun Sun, Xiaoyan Xu, Taiming Zhang, Chao Zhao and 4 more

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yichen ChenState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2# Sipailou, Nanjing, Jiangsu 210096, P. R. China.
Fan ZhouState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2# Sipailou, Nanjing, Jiangsu 210096, P. R. China.
Mengwen YanState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2# Sipailou, Nanjing, Jiangsu 210096, P. R. China.
Xiao-Rui RenKey Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China.ORCID https://orcid.org/0000-0002-6511-0767
Runqian LiZhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, Jiangsu 210096, P. R. China.
Fuchao YuZhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, Jiangsu 210096, P. R. China.
Junjun SunZhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, Jiangsu 210096, P. R. China.
Xiaoyan XuZhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, Jiangsu 210096, P. R. China.
Taiming ZhangState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2# Sipailou, Nanjing, Jiangsu 210096, P. R. China.
Chao ZhaoState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2# Sipailou, Nanjing, Jiangsu 210096, P. R. China.ORCID https://orcid.org/0000-0002-4482-2589
Jiayi TongZhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, Jiangsu 210096, P. R. China.
Qing HaoState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2# Sipailou, Nanjing, Jiangsu 210096, P. R. China.ORCID https://orcid.org/0000-0003-1863-9155
Dong WangKey Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China.ORCID https://orcid.org/0000-0002-1649-942X
Hong LiuState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2# Sipailou, Nanjing, Jiangsu 210096, P. R. China.ORCID https://orcid.org/0000-0002-9841-1603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal sweating is closely associated with the occurrence and progression of various serious diseases, yet quantitatively and accurately assessing sweat pore function remains challenging. In this study, a crystalline covalent organic framework (COF) paper was developed for precise sweat pore analysis of sweating disorders. The delicately designed COF system achieved high-contrast sweat-responsive color change through the doping of sweat contents while showing no response to water, greatly enhancing resistance to environmental humidity interference. The flexible COF paper, grown in situ on PVDF paper substrates, adapts well to various skin surfaces, successfully recording the distribution and activity information on sweat pores through the "sweat pore mapping" technique of absorbing picoliter sweat within only 2 min of contact. Using the COF paper to obtain naked eye visible active sweat pore image can be used for accurate analysis of sweat pore function. Preliminary clinical studies using the COF paper have shown their ability in early disease warning and their potential in auxiliary diagnosis for sweating disorders. Furthermore, the COF paper demonstrated potential in monitoring the efficacy of topical treatments for skin diseases, providing a valuable tool for prognosis tracking. This study showcases the effective utilization of the COF paper for sweat pore analysis, underscoring the significant potential of COFs for advancing precision clinical research.

Identifiers

PMID40893297
PMCPMC12391987

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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.