Evidence map›Paper›PMID 36979515›Full record

ReviewBiosensors2023

Advancing Luciferase-Based Antibody Immunoassays to Next-Generation Mix and Read Testing.

Peter D Burbelo, Youngmi Ji, Michael J Iadarola

Open access · goldFull text readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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

3 authors at 2 institutions in 1 country.

Peter D BurbeloAdeno-Associated Virus Biology Section, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD 202892, USA.ORCID 0000-0003-1717-048X
Youngmi JiAdeno-Associated Virus Biology Section, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD 202892, USA.
Michael J IadarolaDepartment of Perioperative Medicine, Clinical Center, National Institutes of Health, Bethesda, MD 202892, USA.
National Institutes of Health · USNational Institutes of Health Clinical Center · US

Funding

Mechanisms of Pain and Immune ProcessesZIACL090034 · CLC · CLINICAL CENTER · PI MANNES, ANDREW · 2014 to 2025
$0k
Intramural NIH HHS ZIA CL090034NIH HHS This work was supported by the Intramural Research Program of the National Institute of Dental and Craniofacial Research and the Clinical Center, NIH.
6 · The paper itself

Abstract

Antibody measurements play a central role in the diagnosis of many autoimmune and infectious diseases. One antibody detection technology, Luciferase Immunoprecipitation Systems (LIPS), utilizes genetically encoded recombinant luciferase antigen fusion proteins in an immunoglobulin capture format to generate robust antibody measurement with high diagnostic sensitivity and specificity. The LIPS technology has been highly useful in detecting antibodies for research diagnostics and the discovery of new autoantigens. The methodology of the assay requires immunoglobulin binding reagents such as protein A/G beads and washing steps to process the immune complex before antibody levels are measured by light production with a luminometer. Recently, simplified mix and read immunoassays based on split components of the nanoluciferase enzyme in a complementation format have been developed for antibody measurements without requiring immunoglobulin-capturing beads or washing steps. The mix and read immunoassays utilize two or three nanoluciferase fragments which when reconstituted via antigen-specific antibody binding generate a functional enzyme. At present, these split luciferase tests have been developed mainly for detecting SARS-CoV-2 antibodies. Here, we describe the traditional LIPS technology and compare it to the new split luciferase methodologies focusing on their technical features, strengths, limitations, and future opportunities for diagnostic research, and clinical applications.

Indexed as

COVID-19Antibodies, ViralHumansImmunoassayLuciferasesSARS-CoV-2Antibodies, ViralLuciferasesantibodyautoantibodyLIPSluciferase-based immunoassayssplit luciferase

Identifiers

PMID36979515
PMCPMC10046223
OpenAlexW4321500035

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read6
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.