Quantitative analysis of (
A) tau1 (
), free/short lifetime of NAD(P)H, (
B) tau2 (
), bound/long lifetime of NAD(P)H, (
C) alpha1 (α
1), fractional component of free NAD(P)H, (
D) mean lifetime (
) of FAD, (
E) tau1 (
), bound/short lifetime of FAD, (
F) tau2 (
), free/long lifetime of FAD, and (
G) alpha1 (α
1), fractional component of bound FAD. Log transformation was applied to
and
prior to analysis. p values represent statistical analysis of the overall effects. Estimated means with 95% CI and overall effects with p values are included in
Figure 3—source data 1. (
H) Sample size of data set shown in
Figure 3 and this supplement. (
I) Mouse bone marrow-derived macrophages (BMDM) were infected with mCherry-labeled
Listeria monocytogenes (Lm) at multiplicity of infection (MOI) of 2, and autofluorescence imaging of NAD(P)H and FAD was performed on live cells at 5–6 hr post infection. Representative images of mCherry (to show presence of bacteria) and optical redox ratio are shown for uninfected control or
Lm-infected macrophages; scale bar = 50 µm. (
J) Quantitative analysis of optical redox ratio. The diffuse cytoplasmic fluorescence in the mCherry images is likely due to FAD autofluorescence (
Szulczewski et al., 2016). mCherry expressed by the bacteria was used to create a mask to exclude bacterial lifetime signals from macrophage data. Results from three independent repeats (
K) are shown. Statistical comparison was performed by general linear model in R. This experiment was performed as an internal control to test that changes detected by fluorescence lifetime imaging microscopy (FLIM) are consistent with changes detected by a traditional method used to study metabolism, such as mass spec analysis. A previous study used
13C-isotopolog profiling to trace carbon metabolism during infection of primary mouse macrophages with
Lm, and found that infection is associated with increased glycolytic activity in the host cells (
Gillmaier et al., 2012). We detected a small but significant increase in the optical redox ratio of
Lm-infected BMDMs, that is consistent with the findings of Gillmaier et al. The small magnitude in change may be due to several factors: while Gillmaier et al. tested
specific pathways, FLIM measures
global changes in intracellular metabolism that will reflect changes in multiple pathways and might dilute the overall effect; we used a lower MOI for infection and assayed intracellular metabolism at an earlier timepoint. Nevertheless, our overall conclusions are consistent with the findings of Gillmaier et al.