Higher Affinity Enables More Accurate Detection of SARS‐CoV‐2 in Human Saliva Using Aptamer‐Based Litmus Test

Abstract Many aptamers have been generated by systematic evolution of ligands by exponential enrichment (SELEX) to recognize spike proteins of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2&ek), some of which have been engineered into dimeric and trimeric versions for enhanced affinity for diagnostic applications. However, no studies have been conducted to compare the utilities of monomeric, dimeric and trimeric aptamers in diagnostic assays with real clinical samples to answer the question of what levels of affinity an aptamer must have for accurate clinical diagnostics. Herein, we carried out a comparative study with two monomeric aptamers MSA1 and MSA5, one dimeric aptamer and two homotrimeric aptamers constructed with MSA1 and MSA5, with affinity varying by 1000‐fold. Using a colorimetric sandwich assay to analyze 48 human saliva samples, we found that the trimeric aptamer assay (K d ≈10 pM) can identify the SARS‐CoV‐2 infection much more accurately than the dimeric aptamer assay (K d ≈100 pM) and monomeric aptamer assay (K d ≈10,000 pM). Based on the experimental data, we theoretically predict the levels of affinity an aptamer needs to possess to achieve 80–100 % sensitivity and 100 % specificity. The findings from this study highlight the need for deriving very high affinity aptamers to enable highly accurate detection of viral infection for future pandemics.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie
Published
2024-08-12
DOI
https://doi.org/10.1002/ange.202407049
Citations
1
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Higher Affinity Enables More Accurate Detection of SARS‐CoV‐2 in Human Saliva Using Aptamer‐Based Litmus Test

Rudi Liu, Bruno J. Salena, Yingfu Li, Jiuxing Li et al.
1 citations
Angewandte Chemie
Advanced biosensing and bioanalysis techniques
0.23
article

Higher Affinity Enables More Accurate Detection of SARS‐CoV‐2 in Human Saliva Using Aptamer‐Based Litmus Test

Rudi Liu, Bruno J. Salena, Yingfu Li, Jiuxing Li, Jimmy Gu
article en
1 citations

Abstract

Abstract Many aptamers have been generated by systematic evolution of ligands by exponential enrichment (SELEX) to recognize spike proteins of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2&ek), some of which have been engineered into dimeric and trimeric versions for enhanced affinity for diagnostic applications. However, no studies have been conducted to compare the utilities of monomeric, dimeric and trimeric aptamers in diagnostic assays with real clinical samples to answer the question of what levels of affinity an aptamer must have for accurate clinical diagnostics. Herein, we carried out a comparative study with two monomeric aptamers MSA1 and MSA5, one dimeric aptamer and two homotrimeric aptamers constructed with MSA1 and MSA5, with affinity varying by 1000‐fold. Using a colorimetric sandwich assay to analyze 48 human saliva samples, we found that the trimeric aptamer assay (K d ≈10 pM) can identify the SARS‐CoV‐2 infection much more accurately than the dimeric aptamer assay (K d ≈100 pM) and monomeric aptamer assay (K d ≈10,000 pM). Based on the experimental data, we theoretically predict the levels of affinity an aptamer needs to possess to achieve 80–100 % sensitivity and 100 % specificity. The findings from this study highlight the need for deriving very high affinity aptamers to enable highly accurate detection of viral infection for future pandemics.

Angewandte ChemieVol. 136(47)
McMaster University (CA)
Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada
Good health and well-being
Openalex Percentile: Top 43%
Advanced biosensing and bioanalysis techniques
0.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.