Complement multiplex testing: Concept, promises and pitfalls.


Journal

Molecular immunology
ISSN: 1872-9142
Titre abrégé: Mol Immunol
Pays: England
ID NLM: 7905289

Informations de publication

Date de publication:
12 2021
Historique:
received: 22 05 2021
revised: 15 08 2021
accepted: 06 10 2021
pubmed: 25 10 2021
medline: 24 12 2021
entrez: 24 10 2021
Statut: ppublish

Résumé

Complement is a complex system. This complexity becomes more obvious when looking at complement analysis in health and disease, where one presentation can require a number of measurements to understand the full role of this cascade in the disease. The current state of clinical testing requires multiple tests to cover the whole of the complement cascade. There is a clear potential for multiplex testing to help address this need for comprehensive analysis of the state of complement deficiency, activation or inhibition. Fortunately, there are a number of potential methods for multiplex analysis, each with advantages and disadvantages that need to be considered in light of the intricacy of the complement cascade and its interconnection to other systems. Despite the complexities of such methods several groups have started utilizing multiplex analysis for research and even for diagnostic testing. The potential methods, current successes, and the type of testing that needs to be streamlined are reviewed in this text.

Identifiants

pubmed: 34688958
pii: S0161-5890(21)00296-0
doi: 10.1016/j.molimm.2021.10.006
pii:
doi:

Substances chimiques

Complement System Proteins 9007-36-7

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

120-126

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Zoltán Prohászka (Z)

Department of Internal Medicine and Haematology, Semmelweis University, and Research Group for Immunology and Haematology, Semmelweis University- EötvösLoránd Research Network (Office for Supported Research Groups), Budapest, Hungary.

Ashley Frazer-Abel (A)

Exsera BioLabs, University of Colorado School of Medicine, Aurora, CO, USA. Electronic address: ashley.frazer-abel@cuanschutz.edu.

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Classifications MeSH