Evidence map›Paper›PMID 36646503›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Droplet Encoding-Pairing Enabled Multiplexed Digital Loop-Mediated Isothermal Amplification for Simultaneous Quantitative Detection of Multiple Pathogens.

Dongyang Cai, Yu Wang, Jingjing Zou, Zhujun Li, Enqi Huang, Xiuyun Ouyang, Zhiquan Que, Yanzhang Luo, Zhenhua Chen, Yanqing Jiang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 38 citations in OpenAlex.

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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

13 authors at 4 institutions in 2 countries.

Dongyang CaiDepartment of Laboratory Medicine, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Yu WangDepartment of Laboratory Medicine, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Jingjing ZouCollege of Food Science and Engineering, South China University of Technology, Guangzhou, 510640, China.
Zhujun LiDepartment of Laboratory Medicine, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Enqi HuangDepartment of Laboratory Medicine, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Xiuyun OuyangCollege of Food Science and Engineering, South China University of Technology, Guangzhou, 510640, China.
Zhiquan QueDepartment of Laboratory Medicine, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Yanzhang LuoDepartment of Laboratory Medicine, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Zhenhua ChenDepartment of Laboratory Medicine, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
Yanqing JiangBeijing Baicare Biotechnology Co., Ltd, Beijing, 102206, China.
Guohao ZhangBeijing Baicare Biotechnology Co., Ltd, Beijing, 102206, China.
Hongkai WuDepartment of Chemistry, Hong Kong University of Science and Technology, Hong Kong, China.
Dayu LiuDepartment of Laboratory Medicine, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.ORCID 0000-0002-6538-8718
Second Affiliated Hospital of Guangzhou Medical University · CNBeijing VDJBio (China) · CNSouth China University of Technology · CNHong Kong University of Science and Technology · HK

Funding

Guangzhou Key Laboratory of Molecular Imaging and Clinical Translational Medicine 202201020376National Key R&D Program of China 2021YFE0202000National Natural Science Foundation of China 22174048National Natural Science Foundation of China 81871726National Natural Science Foundation of China 82102510National Natural Science Foundation of China 82202582Natural Science Foundation of Guangdong Province 2020A1515010754Natural Science Foundation of Guangdong Province 2020A1515010935Natural Science Foundation of Guangdong Province 2020A1515110853Natural Science Foundation of Guangdong Province 2021A1515010182Postdoctoral Science Foundation of China 2020M682663Postdoctoral Science Foundation of China 2021M690780Postdoctoral Scientific Research Project of Guangzhou BHSKY20210801Science Foundation of Guangzhou First People's Hospital PT22174048Science Foundation of Guangzhou First People's Hospital PT81871726Science Foundation of Guangzhou First People's Hospital PT82102510Special Fund for Guangzhou Key Medical Discipline (2021-2023)
6 · The paper itself

Abstract

Despite the advantages of digital nucleic acid analysis (DNAA) in terms of sensitivity, precision, and resolution, current DNAA methods commonly suffer a limitation in multiplexing capacity. To address this issue, a droplet encoding-pairing enabled DNAA multiplexing strategy is developed, wherein unique tricolor combinations are deployed to index individual primer droplets. The template droplets and primer droplets are sequentially introduced into a microfluidic chip with a calabash-shaped microwell array and are pairwise trapped and merged in the microwells. Pre-merging and post-amplification image analysis with a machine learning algorithm is used to identify, enumerate, and address the droplets. By incorporating the amplification signals with droplet encoding information, simultaneous quantitative detection of multiple targets is achieved. This strategy allows for the establishment of flexible multiplexed DNAA by simply adjusting the primer droplet library. Its flexibility is demonstrated by establishing two multiplexed (8-plex) droplet digital loop-mediated isothermal amplification (mddLAMP) assays for individually detecting lower respiratory tract infection and urinary tract infection causative pathogens. Clinical sample analysis shows that the microbial detection outcomes of the mddLAMP assays are consistent with those of the conventional assay. This DNAA multiplexing strategy can achieve flexible high-order multiplexing on demand, making it a desirable tool for high-content pathogen detection.

Indexed as

MicrofluidicsNucleic Acid Amplification TechniquesMolecular Diagnostic Techniquesdroplet encoding-pairingdroplet microfluidicsmachine learning algorithmmultiplexed droplet digital nucleic acid analysisquantitative detection of pathogens

Identifiers

PMID36646503
PMCPMC9982564
OpenAlexW4316653794

What OpenQuestion holds

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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.