Evidence map›Paper›PMID 35025016›Full record

ArticleJournal of fluorescence2022

Development and Evaluation of Europium-Based Quantitative Lateral Flow Immunoassay for the Chronic Kidney Disease Marker Cystatin-C.

Satheesh Natarajan, Ebru Saatçi, Jayaraj Joseph

Open access · greenAbstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Journal of fluorescence, 2022. 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
2.7field-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

3 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 2 institutions in 2 countries.

Satheesh NatarajanHealthcare Technology Innovation Centre, Indian Institute of Technology, Madras, 600113, India. satheesh@htic.iitm.ac.in.ORCID http://orcid.org/0000-0002-1045-7472
Ebru SaatçiFaculty of Science, Biology Department, Erciyes University, 38039, Kayseri, Turkey.
Jayaraj JosephDepartment of Electrical Engineering, Indian Institute of Technology, Madras-600036, Tamilnadu, India.
Indian Institute of Technology Madras · INErciyes University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to establish a Europium label time-resolved fluorescence immunoassay (TRFIA) to detect the chronic kidney disease (CKD) biomarker Cystatin-C. An Europium based Time resolved fluorescence immunoassay was developed to detect the concentration of Cystatin-C in a urine sample to increase the sensitivity with captured anti-Cystatin-C antibodies immobilized on nitrocellulose membrane and then bonded with detection anti-Cystatin-C labelled with CM-EU, followed by fluorescence measurement using time-resolved fluorometry in 15 min. The performance of this TRFIA was evaluated using the clinical urine serum and compared with the ELISA assays. The linear calibration range was 0.015-32 µg/ml, and the limit of detection (LOD) quantified was 0.0001 µg/ml. This current work has improved the LOD of our previous work from 0.013 µg/ml to 0.001 µg/ml. These results indicated that the CM-EU nanoparticle-based LFIA is rapid, more sensitive, reliable, and reproducible for point-of-care testing of Cys-C concentrations in urine.

Indexed as

EuropiumAntibodiesBiomarkersCystatin CFluoroimmunoassayHumansLimit of DetectionNanoparticlesRenal Insufficiency, ChronicAntibodiesBiomarkersCST3 protein, humanCystatin CEuropiumEuropium nanoparticlesFluorescent quantitative lateral flow assaySandwich assayTime-resolved fluorescent

Identifiers

PMID35025016
OpenAlexW4220938492

What OpenQuestion holds

Textmetadata
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.