ArticleScientific reports2025
Peptide nucleic acid-immobilised paper combined with multiplex recombinase polymerase amplification for the ultrasensitive and rapid detection of rifampicin-resistant tuberculosis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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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.
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Who cites it
1 citing paper in PubMed.
- Development of SNP-LAMP Combined with Lateral Flow Dipstick to Detect the S531LDiagnostics (Basel, Switzerland) · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rifampicin-resistant tuberculosis (RR-TB) is a critical issue with significant implications for patient care, public health, and TB control efforts that necessitate comprehensive strategies for detection. This study presents a novel point-of-care diagnostic tool for RR-TB detection employing a peptide nucleic acid (PNA)-paper-based sensor combined with isothermal recombinase polymerase amplification (RPA). The sensor targets mutations in codons 516, 526, and 531 of the rpoB gene, the top three common mutations associated with rifampicin-resistant strains. PNA probes specifically recognised wild-type sequences, generating a visual signal through a reverse hybridisation assay. The absence of a signal was observed when the mutant strains were detected because of the inability to bind the mutant sequence. Our proof-of-concept assay displayed high accuracy (100% for detecting mutations at codons 516, 526, and 531), a short turnaround time (110 min), no cross-reactivity with other bacterial pathogens, and ultrasensitivity. This PNA-paper-based sensor model can be a valuable diagnostic tool for RR-TB detection, providing an accessible diagnostic platform that can be advantageous in resource-limited settings where sophisticated laboratory infrastructure may be lacking.
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