An Efficient Workflow for Fungal Nucleic Acid Detection in Sputum.

Ying Han, Deding Tang, Yuntong Gao, Lilian Ji, Jie Hu, Yan Gong

Abstract read

In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ying HanSchool of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215009, China.

Deding TangThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.

Yuntong GaoSuzhou Diyinan Biotech Company, Suzhou 215129, China.

Lilian JiSchool of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215009, China.

Jie HuSuzhou Diyinan Biotech Company, Suzhou 215129, China.ORCID 0000-0003-1109-3110

Yan GongSchool of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215009, China.

Funding

Natural Science Research Project for Anhui Universities of the Key Scientific Research Foundation of the Education Department of Province Anhui KJ2021ZD0150

6 · The paper itself

Abstract

Respiratory fungal infections are challenging to diagnose due to non-specific symptoms and limitations of conventional methods. This study established an integrated, rapid workflow for detecting three common pathogenic fungi, combining an optimized nucleic acid extraction method with a TaqMan-based multiplex real-time qPCR system. The high-salt lysis method yielded high-purity nucleic acid extracts, with performance comparable to or better than commercial kits. The multiplex qPCR assay was optimized for high specificity, sensitivity, and reproducibility, with detection limits as low as 10 CFU/mL for some fungi. Clinical validation using 14 sputum samples demonstrated high agreement with conventional culture, and the assay detected a low-load infection missed by culture. This integrated approach shows great potential for rapid, sensitive, and specific clinical detection of respiratory fungal infections.

Indexed as

early diagnosismultiplex real-time qPCRnucleic acid extractionpathogenic fungi cell wallrespiratory fungal infections

Identifiers

PMID42042347

DOI10.3390/jof12040252

PMCPMC13117515

What OpenQuestion holds

Textmetadata

LicenceCC BY

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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.