Evidence map›Paper›PMID 38500041›Full record

ArticleBMC infectious diseases2024

Rapid detection of pathogenic fungi from coastal population with respiratory infections using microfluidic chip technology.

Qingmei Yao, Yuan He, Liehua Deng, Dafeng Chen, Yuanli Zhang, Hui Luo, Wei Lei

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
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

7 authors at 3 institutions in 1 country.

Qingmei Yao *Guangdong Provincial Engineering Technology Research Center for Molecular Diagnosis and Innovative Drugs Translation of Cardiopulmonary Vascular Diseases, University Joint Laboratory of Guangdong Province and Macao Region on Molecular Targets and Intervention of Cardiovascular Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China.
Yuan He *Guangdong Provincial Engineering Technology Research Center for Molecular Diagnosis and Innovative Drugs Translation of Cardiopulmonary Vascular Diseases, University Joint Laboratory of Guangdong Province and Macao Region on Molecular Targets and Intervention of Cardiovascular Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China.
Liehua Deng *Department of Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China.
Dafeng ChenGuangdong Provincial Engineering Technology Research Center for Molecular Diagnosis and Innovative Drugs Translation of Cardiopulmonary Vascular Diseases, University Joint Laboratory of Guangdong Province and Macao Region on Molecular Targets and Intervention of Cardiovascular Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China.
Yuanli ZhangDepartment of Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China.
Hui LuoGuangdong Provincial Engineering Technology Research Center for Molecular Diagnosis and Innovative Drugs Translation of Cardiopulmonary Vascular Diseases, University Joint Laboratory of Guangdong Province and Macao Region on Molecular Targets and Intervention of Cardiovascular Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China. luohui@gdmu.edu.cn.
Wei LeiGuangdong Provincial Engineering Technology Research Center for Molecular Diagnosis and Innovative Drugs Translation of Cardiopulmonary Vascular Diseases, University Joint Laboratory of Guangdong Province and Macao Region on Molecular Targets and Intervention of Cardiovascular Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China. leiwei2006@126.com.
Guangdong Medical College · CNSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou) · CNAffiliated Hospital of Guangdong Medical College Hospital · CN

Funding

Discipline Construction Project of Guangdong Medical University 4SG21233GSouthern Marine Science and Engineering Guangdong Laboratory Zhanjiang ZJW-2019-007
6 · The paper itself

Abstract

backgroundCurrently, culture methods are commonly used in clinical tests to detect pathogenic fungi including Candida spp. Nonetheless, these methods are cumbersome and time-consuming, thereby leading to considerable difficulties in diagnosis of pathogenic fungal infections, especially in situations that respiratory samples such as alveolar lavage fluid and pleural fluid contain extremely small amounts of microorganisms. The aim of this study was to elucidate the utility and practicality of microfluidic chip technology in quick detection of respiratory pathogenic fungi.

methodsDNAs of clinical samples (mainly derived from sputa, alveolar lavage fluid, and pleural fluid) from 64 coastal patients were quickly detected using microfluidic chip technology with 20 species of fungal spectrum and then validated by Real-time qPCR, and their clinical baseline data were analyzed.

resultsMicrofluidic chip results showed that 36 cases infected with Candida spp. and 27 cases tested negative for fungi, which was consistent with Real-time qPCR validation. In contrast, only 16 cases of fungal infections were detected by the culture method; however, one of the culture-positive samples tested negative by microfluidic chip and qPCR validation. Moreover, we found that the patients with Candida infections had significantly higher rates of platelet count reduction than fungi-negative controls. When compared with the patients infected with C. albicans alone, the proportion of males in the patients co-infected with multiple Candidas significantly increased, while their platelet counts significantly decreased.

conclusionsThese findings suggest that constant temperature amplification-based microfluidic chip technology combined with routine blood tests can increase the detection speed and accuracy (including sensitivity and specificity) of identifying respiratory pathogenic fungi.

Indexed as

MycosesRespiratory Tract InfectionsCandidaCandida albicansFungiHumansMaleMicrofluidicsSensitivity and SpecificityDiagnostic accuracyMicrofluidic chipPathogenic fungiRapid detectionRespiratory infections

Identifiers

PMID38500041
PMCPMC10949588
OpenAlexW4392914280

What OpenQuestion holds

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LicenceCC BY
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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.