Nonlinear Multimodal Imaging Characteristics of Early Septic Liver Injury in a Mouse Model of Peritonitis
Yarbakht M, Pradhan P, Koese-Vogel N, Bae H, Stengel S, Meyer T, Schmitt M, Stallmach A, Popp J, Bocklitz TW, Bruns T (2019)
Publication Type: Journal article
Publication year: 2019
Journal
Book Volume: 91
Pages Range: 11116-11121
Journal Issue: 17
DOI: 10.1021/acs.analchem.9b01746
Abstract
Sepsis constitutes a life-threatening organ failure caused by a deregulated host response to infection. Identifying early biomolecular indicators of organ dysfunction may improve clinical decision-making and outcome of patients. Herein we utilized label-free nonlinear multimodal imaging, combining coherent anti-Stokes Raman scattering (CARS), two-photon excited autofluorescence (TPEF), and second-harmonic generation (SHG) to investigate the consequences of early septic liver injury in a murine model of polymicrobial abdominal infection. Liver tissue sections from mice with and without abdominal sepsis were analyzed using multimodal nonlinear microscopy, immunofluorescence, immunohistochemistry, and quantitative reverse transcription polymerase chain reaction (qRT-PCR). Twenty-four hours after the induction of sepsis, hepatic mRNA of inflammatory cytokines and acute phase proteins was upregulated, and liver-infiltrating myeloid cells could be visualized alongside hepatocellular cytoplasmic translocation of high mobility group box 1. According to the statistical analysis based on texture feature extraction followed by the combination of dimension reduction and linear discriminant analysis, CARS (AUC = 0.93) and TPEF (AUC = 0.83) showed an excellent discrimination between liver sections from septic mice and sham-treated mice in contrast to SHG (AUC = 0.49). Spatial analysis revealed no major differences in the distribution of sepsis-associated changes between periportal and pericentral zones. These data suggest early alterations in hepatic lipid distribution and metabolism during liver injury and confirm nonlinear multimodal imaging as a promising complementary method for the real-time, label-free study of septic liver damage.
Involved external institutions
Friedrich-Schiller-Universität Jena
Germany (DE)
Universitätsklinikum Jena
Germany (DE)
Leibniz Health Technologies
Germany (DE)
Germany (DE)
Universitätsklinikum Jena
Germany (DE)
Leibniz Health Technologies
Germany (DE)
How to cite
APA:
Yarbakht, M., Pradhan, P., Koese-Vogel, N., Bae, H., Stengel, S., Meyer, T.,... Bruns, T. (2019). Nonlinear Multimodal Imaging Characteristics of Early Septic Liver Injury in a Mouse Model of Peritonitis. Analytical Chemistry, 91(17), 11116-11121. https://doi.org/10.1021/acs.analchem.9b01746
MLA:
Yarbakht, Melina, et al. "Nonlinear Multimodal Imaging Characteristics of Early Septic Liver Injury in a Mouse Model of Peritonitis." Analytical Chemistry 91.17 (2019): 11116-11121.
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