Evidence map›Paper›PMID 36257813›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Clustered Regularly Interspaced short palindromic repeats-Based Microfluidic System in Infectious Diseases Diagnosis: Current Status, Challenges, and Perspectives.

Yi Xie, Huimin Li, Fumin Chen, Srisruthi Udayakumar, Khyati Arora, Hui Chen, Yang Lan, Qinqin Hu, Xiaonong Zhou, Xiaokui Guo and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 41 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

12 authors at 3 institutions in 3 countries.

Yi XieSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China.
Huimin LiSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China.
Fumin ChenSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China.
Srisruthi UdayakumarDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02139, USA.
Khyati AroraDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02139, USA.
Hui ChenDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02139, USA.
Yang LanCentre for Nature-Inspired Engineering, Department of Chemical Engineering, University College London, London, WC1E 7JE, UK.
Qinqin HuSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China.
Xiaonong ZhouSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China.
Xiaokui GuoSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China.
Leshan XiuSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China.
Kun YinSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China.ORCID 0000-0001-6300-6985
Shanghai Jiao Tong University · CNBrigham and Women's Hospital · USUniversity College London · GB

Funding

National Natural Science Foundation of China 22104090Natural Science Foundation of Shanghai 22ZR1436200
6 · The paper itself

Abstract

Mitigating the spread of global infectious diseases requires rapid and accurate diagnostic tools. Conventional diagnostic techniques for infectious diseases typically require sophisticated equipment and are time consuming. Emerging clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) detection systems have shown remarkable potential as next-generation diagnostic tools to achieve rapid, sensitive, specific, and field-deployable diagnoses of infectious diseases, based on state-of-the-art microfluidic platforms. Therefore, a review of recent advances in CRISPR-based microfluidic systems for infectious diseases diagnosis is urgently required. This review highlights the mechanisms of CRISPR/Cas biosensing and cutting-edge microfluidic devices including paper, digital, and integrated wearable platforms. Strategies to simplify sample pretreatment, improve diagnostic performance, and achieve integrated detection are discussed. Current challenges and future perspectives contributing to the development of more effective CRISPR-based microfluidic diagnostic systems are also proposed.

Indexed as

Communicable DiseasesMicrofluidicsHumansclustered regularly interspaced short palindromic repeats/clustered regularly interspaced short palindromic repeats-associated proteins biosensing mechanismsinfectious diseases diagnosisintegrated detectionmicrofluidic platforms

Identifiers

PMID36257813
PMCPMC9731715
OpenAlexW4306737047

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.