Evidence map›Paper›PMID 35632772›Full record

ArticleViruses2022

B-Cell-Epitope-Based Fluorescent Quantum Dot Biosensors for SARS-CoV-2 Enable Highly Sensitive COVID-19 Antibody Detection.

Yucheng Zheng, Kun Song, Kun Cai, Linlin Liu, Dixiao Tang, Wenbo Long, Bohui Zhai, Jianjun Chen, Yanbing Tao, Yunong Zhao and 11 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. 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

21 authors at 4 institutions in 1 country.

Yucheng ZhengState Key Laboratory of Virology, Institute for Vaccine Research, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Kun SongState Key Laboratory of Virology, Institute for Vaccine Research, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Kun CaiHubei Provincial Center for Diseases Control and Prevention, Wuhan 430079, China.
Linlin LiuHubei Provincial Center for Diseases Control and Prevention, Wuhan 430079, China.
Dixiao TangState Key Laboratory of Virology, Institute for Vaccine Research, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Wenbo LongSchool of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China.
Bohui ZhaiSchool of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China.
Jianjun ChenDepartment of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China.
Yanbing TaoSchool of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China.
Yunong ZhaoSchool of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China.
Simeng LiangState Key Laboratory of Virology, Institute for Vaccine Research, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Qing HuangSchool of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China.
Qianyun LiuState Key Laboratory of Virology, Institute for Vaccine Research, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Qi ZhangState Key Laboratory of Virology, Institute for Vaccine Research, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Yu ChenState Key Laboratory of Virology, Institute for Vaccine Research, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Yingle LiuState Key Laboratory of Virology, Institute for Vaccine Research, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Huayao LiSchool of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China.ORCID 0000-0003-2646-3313
Ping WangDepartment of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China.
Ke LanState Key Laboratory of Virology, Institute for Vaccine Research, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Huan LiuSchool of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China.
Ke XuState Key Laboratory of Virology, Institute for Vaccine Research, College of Life Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-9969-3681
Wuhan University · CNWuhan National Laboratory for Optoelectronics · CNHubei Provincial Center for Disease Control and Prevention · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new antibody diagnostic assay with more rapid and robust properties is demanded to quantitatively evaluate anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunity in a large population. Here, we developed a nanometer-scale fluorescent biosensor system consisting of CdSe-ZnS quantum dots (QDs) coupled with the highly sensitive B-cell epitopes of SARS-CoV-2 that could remarkably identify the corresponding antibody with a detection limit of 100 pM. Intriguingly, we found that fluorescence quenching of QDs was stimulated more obviously when coupled with peptides than the corresponding proteins, indicating that the energy transfer between QDs and peptides was more effective. Compared to the traditional enzyme-linked immunosorbent assay (ELISA), the B-cell-epitope-based QD-biosensor could robustly distinguish coronavirus disease 2019 (COVID-19) antibody-positive patients from uninfected individuals with a higher sensitivity (92.3-98.1% positive rates by QD-biosensor vs. 78.3-83.1% positive rates by ELISAs in 207 COVID-19 patients' sera) in a more rapid (5 min) and labor-saving manner. Taken together, the 'QD-peptides' biosensor provided a novel real-time, quantitative, and high-throughput method for clinical diagnosis and home-use tests.

Indexed as

Biosensing TechniquesCOVID-19Quantum DotsAntibodiesEpitopes, B-LymphocyteHumansPeptidesSARS-CoV-2AntibodiesEpitopes, B-LymphocytePeptidesB-cell epitopesnanometer-scale fluorescent biosensorsquantum dotsSARS-CoV-2 diagnosis

Identifiers

PMID35632772
PMCPMC9145955
OpenAlexW4280623848

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.