Mapping metabolism of liver tissue using two-photon FLIM

Svetlana Rodimova; Daria Kuznetsova; Nikolai Bobrov; Vadim Elagin; Vladislav Shcheslavskiy; Vladimir Zagainov; Elena Zagaynova

doi:10.1364/BOE.398020

Mapping metabolism of liver tissue using two-photon FLIM

Biomed Opt Express. 2020 Jul 20;11(8):4458-4470. doi: 10.1364/BOE.398020. eCollection 2020 Aug 1.

Authors

Svetlana Rodimova^{1

2}, Daria Kuznetsova¹, Nikolai Bobrov^{1

3}, Vadim Elagin¹, Vladislav Shcheslavskiy^{1

4}, Vladimir Zagainov^{1

3}, Elena Zagaynova^{1

2}

Affiliations

¹ Privolzhsky Research Medical University, Institute of Experimental Oncology and Biomedical Technologies, 10/1 Minin and Pozharsky sq., Nizhny Novgorod 603950, Russia.
² N.I. Lobachevsky Nizhny Novgorod National Research State University, Nizhny Novgorod 603950, Russia.
³ The Volga District Medical Centre of Federal Medical and Biological Agency, 14 Ilinskaya, Nizhny Novgorod 603000, Russia.
⁴ Becker&Hickl GmbH, Nunsdorfer Ring 7-9, Berlin 12277, Germany.

Abstract

Although fluorescence lifetime imaging microscopy (FLIM) has been extensively applied to study cellular metabolism in the liver, there is neither an established approach to analyze the data, nor have appropriate protocols been developed to maintain the optical metabolic characteristics in the ex vivo liver tissue sample. Here, we show that a tri-exponential decay fitting model for the fluorescence signal from nicotinamide adenine dinucleotide (NAD(P)H) and the use of ex vivo samples allows the most appropriate processing of the FLIM data. Moreover, we determine the medium that maintains the initial metabolic state of hepatocytes (liver cells), most effectively. Our results should be particularly relevant for the interrogation of liver samples, not only in laboratory research, but also in clinical settings in the future.