Evidence map›Paper›PMID 38053901›Full record

ArticleHeliyon2023

A dual-channel fluorescence probe for simultaneously visualizing cysteine and viscosity during drug-induced hepatotoxicity.

Ya-Long Zheng, Ruixue Yu, Mengbo Li, Cailian Fan, Li Liu, Huijie Zhang, Wenqian Kang, Run Shi, Changzhi Li, Yarui Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. 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
1.1field-weighted citation impact, top 24% of its field
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, 6 citations in OpenAlex.

  1. 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

12 authors at 1 institution in 1 country.

Ya-Long ZhengMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Ruixue YuMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Mengbo LiMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Cailian FanMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Li LiuMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Huijie ZhangMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Wenqian KangMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Run ShiMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Changzhi LiMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Yarui LiMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Jiaqi WangMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Xinhua ZhengMedicine College of Pingdingshan University, Pingdingshan, Henan 467000, China.
Pingdingshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cysteine (Cys), one of the important participants in protecting cells from oxidative stress, is closely associated with the occurrence and development of various diseases. Moreover, cell viscosity as a pivotal microenvironmental parameter has recently attracted increasing attention due to its dominant role in governing intracellular signal transduction and diffusion of reactive metabolites. Thus, simultaneous detection of Cys and viscosity is imperative for investigating their pathophysiological functions and cross-link. Herein we present a mitochondria-targetable dual-channel fluorescence probe

Indexed as

CysteineDual-channelFluorescence probeHepatotoxicityViscosity

Identifiers

PMID38053901
PMCPMC10694328
OpenAlexW4388591070

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.