Evidence map›Paper›PMID 42823406›Full record

ArticleNature communications2026

A fully integrated sample-to-answer diagnostic platform enables rapid quantification of post-transplant infection at the point-of-care.

Pengkun Yin, Lu Gao, Hao Zhang, Jun Zeng, Dan Huang, Lifan Yang, Saifu Yin, Turun Song, Feng Li

Abstract read
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In one paragraph

Article in Nature communications, 2026. 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
–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

1 citing paper in PubMed.

  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

9 authors.

Pengkun Yin *Key Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, PR China.
Lu Gao *Key Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, PR China.
Hao Zhang *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, PR China.ORCID 0009-0003-8991-8909
Jun Zeng *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, PR China.
Dan Huang *Key Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, PR China.
Lifan YangKey Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, PR China.ORCID 0009-0009-0906-8689
Saifu YinDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, PR China.
Turun SongDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, PR China. songturun1986@scu.edu.cn.ORCID 0000-0002-0322-4005
Feng LiKey Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, PR China. fli-scu@outlook.com.ORCID 0000-0002-2616-5343

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22474082
6 · The paper itself

Abstract

Opportunistic infections after organ transplantation require frequent monitoring over years. However, current diagnostic tests are inaccessible to patients in resource-limited settings. Here, we present a microfluidic-enhanced nucleic acid test for on-site reporting (MONITOR), a fully integrated, sample-in-answer-out platform for point-of-care (POC) detection of opportunistic infections. MONITOR employs a gene-specific DNAzyme that, upon integration with recombinase polymerase amplification, enables CRISPR-like trans-cleavage signal amplification with single-molecule sensitivity. It further incorporates a rapid, extraction-free protocol for processing the urine sample, lyophilized assay reagents for cold-chain-free storage and transportation, and a 3D-printed microfluidic cartridge for self-contained, contamination-free fluid handling. A portable real-time fluorescence reader and smartphone application are further developed to enable on-site quantification. Clinical validation showed complete concordance with qPCR across the tested cohorts and a field trial identified high-risk patients with systemic BK polyomavirus infection. MONITOR fulfills ideal criteria for POC testing, offering a practical solution for decentralized, quantitative viral monitoring in low-resource settings.

Indexed as

Opportunistic InfectionsOrgan TransplantationPoint-of-Care SystemsBK VirusHumansMicrofluidicsRapid Diagnostic Tests

Identifiers

What OpenQuestion holds

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Registered trials

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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.