Exposing kinetic disparities between inflammasome readouts using time-resolved analysis Show others and affiliations
2024 (English) In: Heliyon, E-ISSN 2405-8440, Vol. 10, no 11, article id e32023Article in journal (Refereed) Published
Abstract [en]
The NLRP3 inflammasome is an intracellular multiprotein complex described to be involved in both an effective host response to infectious agents and various diseases. Investigation into the NLRP3 inflammasome has been extensive in the past two decades, and often revolves around the analysis of a few specific readouts, including ASC-speck formation, caspase-1 cleavage or activation, and cleavage and release of IL-1β and/or IL-18. Quantification of these readouts is commonly undertaken as an endpoint analysis, where the presence of each positive outcome is assessed independently of the others. In this study, we apply time-resolved analysis of a human macrophage model (differentiated THP-1-ASC-GFP cells) to commonly accessible methods. This approach yields the additional quantifiable metrics time-resolved absolute change and acceleration, allowing comparisons between readouts. Using this methodological approach, we reveal (potential) discrepancies between inflammasome-related readouts that otherwise might go undiscovered. The study highlights the importance of time-resolved data in general and may be further extended as well as incorporated into other areas of research.
Place, publisher, year, edition, pages Elsevier, 2024. Vol. 10, no 11, article id e32023
Keywords [en]
ASC-Specks, Cell response, Cytokines, Human macrophages, LDH leakage, Live-cell imaging, NLRP3 inflammasome, THP-1 cells
National Category
Biomedical Laboratory Science/Technology Bioinformatics and Computational Biology Pharmaceutical and Medical Biotechnology Cell and Molecular Biology
Research subject Infection Biology
Identifiers URN: urn:nbn:se:his:diva-23919 DOI: 10.1016/j.heliyon.2024.e32023 ISI: 001251271000001 PubMedID: 38867997 Scopus ID: 2-s2.0-85194572795 OAI: oai:DiVA.org:his-23919 DiVA, id: diva2:1866342
Funder Knowledge Foundation, 20200017 Knowledge Foundation, 20160044
Note CC BY 4.0
© 2024 The Author(s)
Correspondence Address: M. Herring; School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; email: Matthew.herring@oru.se
We acknowledge scientific support from the Exploring Inflammation in Health and Disease (X-HiDE) Consortium, which is a strategic research profile at Örebro University funded by the Knowledge Foundation (20200017; 20160044). We also acknowledge the Centre for Cellular Imaging at the University of Gothenburg and the National Microscopy Infrastructure, NMI (VR-RFI 2019-00217) for providing advice and assistance in live-cell imaging.
2024-06-072024-06-072025-02-26 Bibliographically approved