Autofluorescence lifetime imaging classifies human B and NK cell activation state

New non-destructive tools with single-cell resolution are needed to reliably assess B cell and NK cell function for applications including adoptive cell therapy and immune profiling. Optical metabolic imaging (OMI) is a label-free method that measures the autofluorescence intensity and lifetime of the metabolic cofactors NAD(P)H and FAD to quantify metabolism at a single-cell level. Here, we demonstrate that OMI can resolve metabolic changes between primary human quiescent and IL-4/anti-CD40 activated B cells and between quiescent and IL-12/IL-15/IL-18 activated NK cells. We found that stimulated B and NK cells had an increased proportion of free compared to protein-bound NAD(P)H, a reduced redox state, and produced more lactate compared to control cells. The NAD(P)H mean fluorescence lifetime decreased in the stimulated B and NK cells compared to control cells. Random forest models classified B cells and NK cells according to activation state (CD69<sup>+</sup>) based on OMI variables with an accuracy of 93%. Our results show that autofluorescence lifetime imaging can accurately assess B and NK cell activation in a label-free, non-destructive manner.

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Publication Details

Journal
Frontiers in Bioengineering and Biotechnology
Published
2025-04-04
DOI
https://doi.org/10.3389/fbioe.2025.1557021
Citations
2
Primary Topic
Immune Cell Function and Interaction
Type
article
Field-Weighted Citation Impact
1.59

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article

Autofluorescence lifetime imaging classifies human B and NK cell activation state

Jeremiah Riendeau, Peter Rehani, Alex J. Walsh, Ankita Shahi et al.
2 citations
Frontiers in Bioengineering and Biotechnology
Immune Cell Function and Interaction
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article

Autofluorescence lifetime imaging classifies human B and NK cell activation state

Jeremiah Riendeau, Peter Rehani, Alex J. Walsh, Ankita Shahi, Christian M. Capitini, Elizabeth M. Maly, Rebecca Schmitz, Kelsey Tweed, José M. Ayuso, Kayvan Samimi, Isabel Jones, Matthew H. Forsberg, Melissa C. Skala, Dan L. Pham, Emmanuel Contreras Guzman, Lucia Hockerman
article en
2 citations

Abstract

New non-destructive tools with single-cell resolution are needed to reliably assess B cell and NK cell function for applications including adoptive cell therapy and immune profiling. Optical metabolic imaging (OMI) is a label-free method that measures the autofluorescence intensity and lifetime of the metabolic cofactors NAD(P)H and FAD to quantify metabolism at a single-cell level. Here, we demonstrate that OMI can resolve metabolic changes between primary human quiescent and IL-4/anti-CD40 activated B cells and between quiescent and IL-12/IL-15/IL-18 activated NK cells. We found that stimulated B and NK cells had an increased proportion of free compared to protein-bound NAD(P)H, a reduced redox state, and produced more lactate compared to control cells. The NAD(P)H mean fluorescence lifetime decreased in the stimulated B and NK cells compared to control cells. Random forest models classified B cells and NK cells according to activation state (CD69<sup>+</sup>) based on OMI variables with an accuracy of 93%. Our results show that autofluorescence lifetime imaging can accurately assess B and NK cell activation in a label-free, non-destructive manner.

Frontiers in Bioengineering and BiotechnologyVol. 13
University of Wisconsin–Madison (US), Morgridge Institute for Research (US), University of Wisconsin Carbone Cancer Center (US)
National Science Foundation, U.S. Department of Health and Human Services, Retina Research Foundation, National Institutes of Health
Life in Land
Openalex Percentile: Top 18%
Immune Cell Function and Interaction
1.59
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