Literature DB >> 35652578

Rapid and Sensitive Detection of Antigen from SARS-CoV-2 Variants of Concern by a Multivalent Minibinder-Functionalized Nanomechanical Sensor.

Dilip Kumar Agarwal1, Andrew C Hunt2, Gajendra S Shekhawat1, Lauren Carter3,4, Sidney Chan3,4, Kejia Wu3,4, Longxing Cao3,4, David Baker3,4,5, Ramon Lorenzo-Redondo6,7, Egon A Ozer6,7, Lacy M Simons6,7, Judd F Hultquist6,7, Michael C Jewett2,8,9, Vinayak P Dravid1,8,9.   

Abstract

New platforms for the rapid and sensitive detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern are urgently needed. Here we report the development of a nanomechanical sensor based on the deflection of a microcantilever capable of detecting the SARS-CoV-2 spike (S) glycoprotein antigen using computationally designed multivalent minibinders immobilized on a microcantilever surface. The sensor exhibits rapid (<5 min) detection of the target antigens down to concentrations of 0.05 ng/mL (362 fM) and is more than an order of magnitude more sensitive than an antibody-based cantilever sensor. Validation of the sensor with clinical samples from 33 patients, including 9 patients infected with the Omicron (BA.1) variant observed detection of antigen from nasopharyngeal swabs with cycle threshold (Ct) values as high as 39, suggesting a limit of detection similar to that of the quantitative reverse transcription polymerase chain reaction (RT-qPCR). Our findings demonstrate the use of minibinders and nanomechanical sensors for the rapid and sensitive detection of SARS-CoV-2 and potentially other disease markers.

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Year:  2022        PMID: 35652578      PMCID: PMC9211039          DOI: 10.1021/acs.analchem.2c01221

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   8.008


The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has highlighted the importance and need for the rapid and accurate detection of pathogens for disease identification and pandemic mitigation. The gold standard techniques for the identification of viral pathogens are the detection of viral nucleic acid by quantitative reverse transcription polymerase chain reaction (RT-qPCR) or viral antigen detection through lateral flow immunoassays (LFIA).[1] RT-qPCR based techniques are highly sensitive but are relatively expensive, take hours to days to get results, and require a centralized laboratory with trained technicians.[2] LFIAs, frequently called rapid antigen tests, are cheaper, faster, useful in point-of-care settings[2] and have shown beneficial impact on population-level disease spread in widespread testing campaigns.[3,4] However, SARS-CoV-2 LFIAs have moderate to low sensitivities at viral loads below 107 RNA copies per mL,[5,6] which does not cover the range of viral loads where infected individuals transmit the virus,[4,5,7,8] an issue during the emergence of the B.1.1.529 (Omicron) variant of concern.[9−11] It is clear there remains a need for viral detection approaches that are rapid, sensitive, and clinically useful in point-of-care settings. Toward addressing this need, we previously designed a nanomechanical microcantilever sensor platform that enables rapid and sensitive detection of SARS-CoV-2 N protein antigen at clinically relevant concentrations in patient samples.[12] Microcantilevers (Figure S1) are promising for disease diagnostics due to their rapid and sensitive detection of biomolecules and potential for point-of-care use.[13−15] Binding on the receptor-functionalized microcantilever results in surface stress that causes physical bending of the cantilever,[16] which can be measured optically[12] or electronically[17] (Figure a). Monoclonal antibodies are traditionally used for mediating specific binding of the target antigen of choice to the cantilever surface. However, they are typically nonspecifically labeled, resulting in randomly oriented proteins on the cantilever surface,[12] and they are sensitive to mutations in their target epitope and antigenic drift.[18]
Figure 1

Cantilever-based sensing of SARS-CoV-2 spike protein (S6P). (a) Cantilever sensing mechanism; deflection is observed upon binding of the SARS-CoV-2 spike trimer to the captured binder immobilized on the cantilever. (b–d) Deflection of cantilever sensors over time with anti-S antibody (b), AHB2 (c), and TRI2-2 (d) immobilized on the cantilever (mean ± SEM, n = 3). (e) Comparison of deflection between antibody, AHB2, and TRI2-2 cantilevers after 15 min of equilibration (mean ± SEM, n = 3). For all plots, the dashed horizontal line indicates the deflection LOD cutoff (average of the combined negative control measurements ±3 standard deviations) and an absence of error bars indicates error within the marker.

Cantilever-based sensing of SARS-CoV-2 spike protein (S6P). (a) Cantilever sensing mechanism; deflection is observed upon binding of the SARS-CoV-2 spike trimer to the captured binder immobilized on the cantilever. (b–d) Deflection of cantilever sensors over time with anti-S antibody (b), AHB2 (c), and TRI2-2 (d) immobilized on the cantilever (mean ± SEM, n = 3). (e) Comparison of deflection between antibody, AHB2, and TRI2-2 cantilevers after 15 min of equilibration (mean ± SEM, n = 3). For all plots, the dashed horizontal line indicates the deflection LOD cutoff (average of the combined negative control measurements ±3 standard deviations) and an absence of error bars indicates error within the marker. As an alternative to antibodies, we recently developed multivalent minibinders, small, computationally designed binding proteins, targeting the SARS-CoV-2 S glycoprotein trimer.[19,20] The TRI2-2 multivalent minibinder, a trivalent version of the monovalent AHB2[19] minibinder, simultaneously engages all three RBDs on a single S trimer and exhibits tight binding to all tested SARS-CoV-2 variants.[20] The minibinders are small (5–15× smaller than an antibody) and can be site specifically functionalized with a cysteine residue to enable oriented and high density immobilization on sensor surfaces.[21,22] In this work, we evaluated the performance of microcantilever sensors functionalized with the monovalent AHB2 and trivalent TRI2-2 minibinders,[19,20] which have not been previously evaluated as sensors, for the detection of SARS-CoV-2 S antigen. We functionalized gold-coated microcantilever sensors with minibinders containing C-terminal cysteine residues, produced via cell-free protein synthesis,[23−25] and compared them to an antibody based sensor. The multivalent minibinder sensor exhibited a limit of detection (LOD) more than an order of magnitude better than that of the antibody-based sensor. Furthermore, using these sensors we observed rapid (<5 min) and sensitive detection (<0.05 ng/mL) of purified SARS-CoV-2 antigens from SARS-COV-2 variants of concern as well as detection of SARS-CoV-2 in patient nasopharyngeal swabs. S antigen is detected at a concentration corresponding to 96 genome copies per mL, indicating the sensor has an LOD on-par with RT-qPCR-based tests.[26] The developed technology is a promising diagnostic platform. We first compared the response of cantilevers functionalized with antibody, monomeric minibinder AHB2, and trimeric minibinder TRI2-2 to detect the Wuhan-Hu-1 SARS-CoV-2 prefusion stabilized hexapro spike protein (S6P) (Figure ).[27] Cantilever measurements were conducted in a small microfluidic chamber and deflection was monitored using an optical liquid atomic force microscopy (AFM) setup. Cantilevers were functionalized with the desired binder and then incubated with different concentrations of analytes in the sample chamber and monitored for 15 min. For all binders, the concentration of the S6P analyte exhibited a log–linear relationship with deflection, and the system reached equilibrium after approximately 10 min of incubation (Figure b–d). Replicates were highly concordant and exhibited low standard deviations (Figure S2, mean standard deviation = 0.64 nm). TRI2-2 cantilevers exhibited more sensitive detection than either AHB2 or the antibody-functionalized cantilevers by more than an order of magnitude (Figure e). At the lowest tested concentration of S6P (0.05 ng/mL or 362 fM) TRI2-2 exhibited signal significantly different from the negative control after 4 min (p = 0.032, 2-way ANOVA with Sidak’s multiple comparisons test) (Figure d). The observed difference in response with the TRI2-2 cantilevers is likely due to the high avidity (it engages all three RBDs within an S trimer simultaneously).[20] When compared to the antibody cantilevers, the improvement may also be influenced by a greater immobilization density on the cantilever. This result indicates that TRI2-2 functionalized cantilevers are suitable sensors for the SARS-CoV-2 S trimer antigen. We next evaluated the ability of TRI2-2 cantilevers to sense S trimer corresponding to the Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2), and Omicron (BA.1) variants of concern (Figure , Figure S3). We observed successful detection of 0.05 ng/mL for the Alpha, Gamma, Delta, and Omicron S trimer and 0.1 ng/mL of the Beta S trimer, with the deflection crossing the limit of detection cutoff around 5 min at the lowest detectable concentration (Figure S3a–e). We observed varying levels of deflection for the different S trimer variants (Figure ), possibly due to heterogeneity in the different preparations of recombinant S trimer. These measurements demonstrate the ability of TRI2-2 functionalized cantilevers to detect antigens from different SARS-CoV-2 variants of concern.
Figure 2

Detection of purified S trimer representing current and historical SARS-CoV-2 variants of concern. Cantilever deflection after 15 min of equilibration (mean ± SEM, n = 3). The dashed horizontal line indicates the deflection LOD cutoff (average of the combined negative control measurements ± 3 standard deviations), and an absence of error bars indicates error within the marker.

Detection of purified S trimer representing current and historical SARS-CoV-2 variants of concern. Cantilever deflection after 15 min of equilibration (mean ± SEM, n = 3). The dashed horizontal line indicates the deflection LOD cutoff (average of the combined negative control measurements ± 3 standard deviations), and an absence of error bars indicates error within the marker. Given the highly sensitive detection of purified S trimer, we next sought to determine if TRI2-2 functionalized cantilevers could be utilized to detect SARS-CoV-2 in patient samples. Residual diagnostic nasopharyngeal swabs were collected from patients presenting to Northwestern Memorial Hospital between March of 2021 and January of 2022. Cycle threshold (Ct) values were calculated by quantitative reverse transcription and PCR (RT-qPCR) as a proxy for SARS-CoV-2 viral load. The genotype of the virus in each sample was determined by whole-genome sequencing using the ARTIC protocol. Pango lineages were assigned to the consensus sequences using pangolin software to assign variant designations. Specimens that tested negative for SARS-CoV-2 or positive for another respiratory virus (influenza A virus) were used as negative controls. We tested 27 RT-qPCR positive and 5 RT-qPCR negative patient samples (Table S1), including samples from early in 2021, samples from confirmed Alpha (B.1.1.7) variant infections, and samples from confirmed Omicron (BA.1) variant infections (Figure a, Figure S4a–c). A linear relationship was observed between the Ct value measured by RT-qPCR and cantilever deflection (Figure a) and thus a log–linear relationship with viral RNA copy number (Table S2). Consistent with the results using purified antigen, patient samples exhibited detection after approximately 5 min of incubation of the sample with the sensor. For the lowest Ct value sample tested (Ct = 39), we observed signal significantly different from all negative patient samples (Figure S4a) at 7 min (p < 0.05, 2-way ANOVA with Sidak’s multiple comparisons test), indicating confident detection of antigen concentration corresponding to 96 viral RNA copies per mL (Table S2). SARS-CoV-2 RT-qPCR negative samples from five patients exhibited little deflection (Figure a), comparable to the buffer negative control (Figure d). To probe the cross reactivity of our sensor, we tested an RT-qPCR positive influenza A sample and recombinant purified spike proteins from other human coronaviruses and observed little deflection at a concentration of 1 000 ng/mL (Figure b, Figure S4e), with only HCoV-HKU1 exhibiting limited signal above the average background deflection (within 6 standard deviations). These results indicate our sensor does not have significant cross-reactivity for these tested viruses.
Figure 3

Measurement of SARS-CoV-2 in nasopharyngeal swabs from infected individuals and of cross reactivity with other related viruses. (a) Comparison of the RT-qPCR Ct value and cantilever deflection after 15 min for the tested patient samples (mean ± SEM, n = 3). (b) Deflection of cantilevers after 15 min in response to recombinant purified SARS-CoV, MERS-CoV, HCoV-HKU1, HCoV-OC43, HCoV-NL63, and HCoV-299E spike protein (1 000 ng/mL) and against a patient nasopharyngeal swab RT-qPCR positive for influenza A (Ct = 19.33) (mean ± SEM, n = 3). For all plots, the dashed horizontal line indicates the deflection LOD cutoff (average of the combined negative control measurements ± 3 standard deviations) and an absence of error bars indicates error within the marker.

Measurement of SARS-CoV-2 in nasopharyngeal swabs from infected individuals and of cross reactivity with other related viruses. (a) Comparison of the RT-qPCR Ct value and cantilever deflection after 15 min for the tested patient samples (mean ± SEM, n = 3). (b) Deflection of cantilevers after 15 min in response to recombinant purified SARS-CoV, MERS-CoV, HCoV-HKU1, HCoV-OC43, HCoV-NL63, and HCoV-299E spike protein (1 000 ng/mL) and against a patient nasopharyngeal swab RT-qPCR positive for influenza A (Ct = 19.33) (mean ± SEM, n = 3). For all plots, the dashed horizontal line indicates the deflection LOD cutoff (average of the combined negative control measurements ± 3 standard deviations) and an absence of error bars indicates error within the marker. Here, we have used a multivalent minibinder functionalized nanomechanical sensor to detect the S trimer antigen from different SARS-CoV-2 variants of concern. Our sensor can detect femtomolar concentrations of antigen and our data for patient samples suggest an LOD that is comparable to nucleic acid tests with amplification[26] and >2 orders of magnitude better than currently authorized rapid antigen tests.[5,8,10] The sensor does not require amplification and shows results in patient samples in 5 min. Taken together, these benefits indicate that the developed sensor has promise as a clinical diagnostic, although more samples must be evaluated to determine clinical sensitivity and specificity.[28] Using an alternative detection modality like a metal-oxide semiconductor field-effect transistor (MOSFET) detector for electronic readout in a hand-held device could make it accessible in point-of-care settings.[17] Computationally designed binding proteins and nanomechanical sensors will enable fast and sensitive detection of biomarkers for disease diagnosis for SARS-CoV-2 and other diseases.
  25 in total

Review 1.  Biosensors based on nanomechanical systems.

Authors:  Javier Tamayo; Priscila M Kosaka; José J Ruz; Álvaro San Paulo; Montserrat Calleja
Journal:  Chem Soc Rev       Date:  2013-02-07       Impact factor: 54.564

2.  Sensitive detection of cardiac troponin-I protein using fabricated piezoresistive microcantilevers by a novel method of asymmetric biofunctionalization.

Authors:  Dilip Kumar Agarwal; Arindam Kushagra; Mamta Ashwin; Ambika S Shukla; Vijay Palaparthy
Journal:  Nanotechnology       Date:  2019-11-21       Impact factor: 3.874

Review 3.  Cell-free gene expression: an expanded repertoire of applications.

Authors:  Adam D Silverman; Ashty S Karim; Michael C Jewett
Journal:  Nat Rev Genet       Date:  2019-11-28       Impact factor: 53.242

4.  The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia.

Authors:  Stefan Flasche; Sebastian Funk; Martin Pavelka; Kevin Van-Zandvoort; Sam Abbott; Katharine Sherratt; Marek Majdan; Pavol Jarčuška; Marek Krajčí
Journal:  Science       Date:  2021-03-23       Impact factor: 47.728

5.  Virological assessment of hospitalized patients with COVID-2019.

Authors:  Roman Wölfel; Victor M Corman; Wolfgang Guggemos; Michael Seilmaier; Sabine Zange; Marcel A Müller; Daniela Niemeyer; Terry C Jones; Patrick Vollmar; Camilla Rothe; Michael Hoelscher; Tobias Bleicker; Sebastian Brünink; Julia Schneider; Rosina Ehmann; Katrin Zwirglmaier; Christian Drosten; Clemens Wendtner
Journal:  Nature       Date:  2020-04-01       Impact factor: 49.962

6.  Prospective mapping of viral mutations that escape antibodies used to treat COVID-19.

Authors:  Tyler N Starr; Allison J Greaney; Amin Addetia; William W Hannon; Manish C Choudhary; Adam S Dingens; Jonathan Z Li; Jesse D Bloom
Journal:  Science       Date:  2021-01-25       Impact factor: 47.728

7.  Comparison of seven commercial SARS-CoV-2 rapid point-of-care antigen tests: a single-centre laboratory evaluation study.

Authors:  Victor M Corman; Verena Claudia Haage; Tobias Bleicker; Marie Luisa Schmidt; Barbara Mühlemann; Marta Zuchowski; Wendy K Jo; Patricia Tscheak; Elisabeth Möncke-Buchner; Marcel A Müller; Andi Krumbholz; Jan Felix Drexler; Christian Drosten
Journal:  Lancet Microbe       Date:  2021-04-07

8.  Impaired detection of omicron by SARS-CoV-2 rapid antigen tests.

Authors:  Andreas Osterman; Irina Badell; Elif Basara; Marcel Stern; Fabian Kriesel; Marwa Eletreby; Gamze Naz Öztan; Melanie Huber; Hanna Autenrieth; Ricarda Knabe; Patricia M Späth; Maximilian Muenchhoff; Alexander Graf; Stefan Krebs; Helmut Blum; Jürgen Durner; Ludwig Czibere; Christopher Dächert; Lars Kaderali; Hanna-Mari Baldauf; Oliver T Keppler
Journal:  Med Microbiol Immunol       Date:  2022-02-20       Impact factor: 4.148

9.  Multidisciplinary assessment of the Abbott BinaxNOW SARS-CoV-2 point-of-care antigen test in the context of emerging viral variants and self-administration.

Authors:  Jennifer K Frediani; Joshua M Levy; Anuradha Rao; Leda Bassit; Janet Figueroa; Miriam B Vos; Anna Wood; Robert Jerris; Mark D Gonzalez; Beverly B Rogers; Maud Mavigner; Raymond F Schinazi; Nils Schoof; Jesse J Waggoner; Russell R Kempker; Paulina A Rebolledo; Jared W O'Neal; Cheryl Stone; Ann Chahroudi; Claudia R Morris; Allie Suessmith; Julie Sullivan; Sarah Farmer; Amanda Foster; John D Roback; Thanuja Ramachandra; CaDeidre Washington; Kristie Le; Maria C Cordero; Annette Esper; Eric J Nehl; Yun F Wang; Erika A Tyburski; Greg S Martin; Wilbur A Lam
Journal:  Sci Rep       Date:  2021-07-16       Impact factor: 4.379

Review 10.  Considerations for diagnostic COVID-19 tests.

Authors:  Olivier Vandenberg; Delphine Martiny; Olivier Rochas; Alex van Belkum; Zisis Kozlakidis
Journal:  Nat Rev Microbiol       Date:  2020-10-14       Impact factor: 78.297

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