Evidence map›Paper›PMID 40866391›Full record

ArticleNature communications2025

Breaking shackles of molecular weight and emission for NIR-II fluorophores by regulating Columb attraction interaction.

Miantai Ye, Xiaoyu Wang, Jingwen Zou, Wei Sun, Weijie Chi, Zhiqiang Mao, Zhihong Liu

Abstract read
In one paragraph

Article in Nature communications, 2025. 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. Review
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.

Miantai Ye *National & Local Joint Engineering Research Center of High-throughput Drug Screening Technology, Hubei University, Wuhan, China.
Xiaoyu Wang *National & Local Joint Engineering Research Center of High-throughput Drug Screening Technology, Hubei University, Wuhan, China.
Jingwen Zou *National & Local Joint Engineering Research Center of High-throughput Drug Screening Technology, Hubei University, Wuhan, China.
Wei SunHainan Engineering Research Center of Tropical Ocean Advanced Optoelectronic Functional Materials, Hainan Normal University, Haikou, China.
Weijie ChiSchool of Chemistry and Chemical Engineering, Hainan University, Haikou, China. weijie_chi@hainanu.edu.cn.ORCID http://orcid.org/0000-0003-1776-0025
Zhiqiang MaoNational & Local Joint Engineering Research Center of High-throughput Drug Screening Technology, Hubei University, Wuhan, China. maozq@hubu.edu.cn.ORCID http://orcid.org/0000-0003-1766-8886
Zhihong LiuNational & Local Joint Engineering Research Center of High-throughput Drug Screening Technology, Hubei University, Wuhan, China. zhhliu@whu.edu.cn.ORCID http://orcid.org/0000-0003-1500-9342

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22174034National Natural Science Foundation of China (National Science Foundation of China) 22327805National Natural Science Foundation of China (National Science Foundation of China) 32360236
6 · The paper itself

Abstract

The second near-infrared (NIR-II) dyes provide advantages for in vivo imaging, but challenges persist. A primary issue is the lack of practicable strategies to balance emission wavelength and molecular weight, particularly for low-molecular-weight (<500 Da) NIR-II (λ

Indexed as

Fluorescent DyesAlzheimer DiseaseAmyloid beta-PeptidesAnimalsBrainGreen Fluorescent ProteinsHumansMiceMolecular WeightPeptide FragmentsSpectroscopy, Near-InfraredAmyloid beta-Peptidesamyloid beta-protein (1-42)Fluorescent DyesGreen Fluorescent ProteinsPeptide Fragments

Identifiers

PMID40866391
PMCPMC12391551

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.