Evidence map›Paper›PMID 39514021›Full record

ArticleMikrochimica acta2024

A fluorescence-based lateral flow immunoassay using AIEgen-encapsulated nanoparticles to rapidly and sensitively detect pro-gastrin-releasing peptide.

Xiangyang Shao, Xiaoli Liu, Lianzi Yu, Xiuzhi Yu, Jianhua Hu

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2024. 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
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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

5 authors.

Xiangyang ShaoDepartment of Laboratory Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430079, China.ORCID http://orcid.org/0000-0002-1593-774X
Xiaoli LiuDepartment of Laboratory Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430079, China.
Lianzi YuDepartment of Laboratory Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430079, China.
Xiuzhi YuRoche Diagnostics (Shanghai) Limited, Shanghai, 201203, China.
Jianhua HuDepartment of Laboratory Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430079, China. hjhp725@126.com.

Funding

Natural Science Foundation of Hubei Province 2023AFB011Wuhan Science and Technology Bureau Knowledge Innovation Special Dawn Program Project 2023020201020521
6 · The paper itself

Abstract

A fluorescence lateral flow immunoassay (F-LFIA) is presented using nanoparticles with encapsulated molecules whose emission is caused by aggregation as the fluorescent label to quantitatively detect gastrin-releasing peptide precursor (proGRP) in serum. The detection system was optimized to achieve a broad linear detection range of 10 ~ 5000 pg/mL and a detection limit of 6 pg/mL for F-LFIA. The proposed method exhibited good sensitivity, specificity, and reproducibility. The performance and applicability of the F-LFIA were evaluated in the analysis of 183 human serum samples, and the results were strongly correlated with those of the electrochemiluminescence immunoassay. The proposed F-LFIA can serve as a precise and rapid detection method to detect proGRP and has potential for the early diagnosis of small-cell lung cancer (SCLC).

Indexed as

Limit of DetectionNanoparticlesFluorescenceFluorescent DyesHumansImmunoassayLung NeoplasmsPeptide FragmentsRecombinant ProteinsSmall Cell Lung CarcinomaFluorescent DyesPeptide Fragmentspro-gastrin-releasing peptide (31-98)Recombinant ProteinsAggregation-induced emissionFluorescence lateral flow immunoassayPrecursor of gastrin-releasing peptideSmall-cell lung cancer

Identifiers

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.