Evidence map›Paper›PMID 35675509›Full record

ArticleJournal of the American Chemical Society2022

Antibody-Invertase Fusion Protein Enables Quantitative Detection of SARS-CoV-2 Antibodies Using Widely Available Glucometers.

Elissa K Leonard, Miguel Aller Pellitero, Boris Juelg, Jamie B Spangler, Netzahualcóyotl Arroyo-Currás

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2022. 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
–field-weighted citation impact
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.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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

5 authors.

Elissa K LeonardDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Miguel Aller PelliteroDepartment of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.ORCID 0000-0001-8739-2542
Boris JuelgRagon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts 02139, United States.
Jamie B SpanglerDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0001-8187-3732
Netzahualcóyotl Arroyo-CurrásDepartment of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.ORCID 0000-0002-2740-6276

Funding

ASPIRE - A Joint Johns Hopkins, Morgan State and Coppin State IRACDA ProgramK12GM123914 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BROWN, LISA D., SARMA, SRIDEVI V. · 2018 to 2022
$2.5M
NIGMS NIH HHS K12 GM123914
6 · The paper itself

Abstract

Rapid diagnostics that can accurately inform patients of disease risk and protection are critical to mitigating the spread of the current COVID-19 pandemic and future infectious disease outbreaks. To be effective, such diagnostics must rely on simple, cost-effective, and widely available equipment and should be compatible with existing telehealth infrastructure to facilitate data access and remote care. Commercial glucometers are an established detection technology that can overcome the cost, time, and trained personnel requirements of current benchtop-based antibody serology assays when paired with reporter molecules that catalyze glucose conversion. To this end, we developed an enzymatic reporter that, when bound to disease-specific patient antibodies, produces glucose in proportion to the level of antibodies present in the patient sample. Although a straightforward concept, the coupling of enzymatic reporters to secondary antibodies or antigens often results in low yields, indeterminant stoichiometry, reduced target binding, and poor catalytic efficiency. Our enzymatic reporter is a novel fusion protein that comprises an antihuman immunoglobulin G (IgG) antibody genetically fused to two invertase molecules. The resulting fusion protein retains the binding affinity and catalytic activity of the constituent proteins and serves as an accurate reporter for immunoassays. Using this fusion, we demonstrate quantitative glucometer-based measurement of anti-SARS-CoV-2 spike protein antibodies in blinded clinical sample training sets. Our results demonstrate the ability to detect SARS-CoV-2-specific IgGs in patient serum with precise agreement to benchmark commercial immunoassays. Because our fusion protein binds all human IgG isotypes, it represents a versatile tool for detection of disease-specific antibodies in a broad range of biomedical applications.

Indexed as

COVID-19PandemicsAntibodies, Viralbeta-FructofuranosidaseGlucoseHumansImmunoglobulin GSARS-CoV-2Sensitivity and SpecificityAntibodies, Viralbeta-FructofuranosidaseGlucoseImmunoglobulin G

Identifiers

PMID35675509
PMCPMC9199438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.