Evidence map›Paper›PMID 38638235›Full record

ArticleChemical science2024

Non-invasive diagnosis of bacterial and non-bacterial inflammations using a dual-enzyme-responsive fluorescent indicator.

Yue He, Majun Yang, Jingyi Cui, Can Zhao, Bin Jiang, Jiayun Guan, Xiaobo Zhou, Miao He, Yaya Zhen, Yuxue Zhang and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2024. 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
3.1field-weighted citation impact, top 9% 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, 7 citations in OpenAlex.

  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 at 1 institution in 1 country.

Yue HeSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.
Majun YangSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.
Jingyi CuiDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University No. 20, Xisi Road Nantong 226001 Jiangsu China.
Can ZhaoSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.
Bin JiangSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.
Jiayun GuanSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.
Xiaobo ZhouSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.
Miao HeSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.
Yaya ZhenSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.
Yuxue ZhangSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.
Rongrong JingDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University No. 20, Xisi Road Nantong 226001 Jiangsu China.
Qi WangSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.
Yuling QinSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.ORCID https://orcid.org/0000-0003-2819-8592
Li WuSchool of Public Health, Nantong Key Laboratory of Public Health and Medical Analysis, Nantong University 9 Seyuan Road Nantong 226019 P. R. China wangqi@ntu.edu.cn ylqin@ntu.edu.cn wuli8686@ntu.edu.cn.ORCID https://orcid.org/0000-0002-4118-7970
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial infections, as the second leading cause of global death, are commonly treated with antibiotics. However, the improper use of antibiotics contributes to the development of bacterial resistance. Therefore, the accurate differentiation between bacterial and non-bacterial inflammations is of utmost importance in the judicious administration of clinical antibiotics and the prevention of bacterial resistance. However, as of now, no fluorescent probes have yet been designed for the relevant assessments. To this end, the present study reports the development of a novel fluorescence probe (CyQ) that exhibits dual-enzyme responsiveness. The designed probe demonstrated excellent sensitivity in detecting NTR and NAD(P)H, which served as critical indicators for bacterial and non-bacterial inflammations. The utilization of CyQ enabled the efficient detection of NTR and NAD(P)H in distinct channels, exhibiting impressive detection limits of 0.26 μg mL

Identifiers

PMID38638235
PMCPMC11023053
OpenAlexW4392919536

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.