The estimation of steatosis in a liver graft is mandatory prior to liver transplantation, as the risk of graft failure increases with the level of infiltrated fat. However, the assessment of liver steatosis before transplantation is typically based on a qualitative or semi-quantitative characterization by visual inspection and palpation, and histological analysis. Thus, there is an unmet need for transplantation surgeons to have access to a diagnostic tool enabling an in situ fast classification of grafts prior extraction. In this study, we have assessed an Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) spectroscopic method compatible with the requirements of an operation room, for the evaluation of the lipid contents in human livers. A set of 20 human liver biopsies obtained from organs intended for transplantation were analyzed by expert pathologists, ATR-FTIR spectroscopy, lipid biochemical analysis, and UPLC-ESI(+/-)TOFMS for lipidomic profiling. Comparative analysis of multi-source data showed strong correlations between ATR-FTIR, clinical and lipidomic information. Results show that ATR-FTIR captures a global picture of the lipid composition of the liver, along with information for the quantification of the TAGs content in liver biopsies. Although the methodology performance needs to be further validated, results support the applicability of ATR-FTIR for the in situ determination of the grade of liver steatosis at the operation room as a fast, quantitative method, alternative to the qualitative and subjective pathological examination This data set includes the LC-MS annotated peak table, ATR-FTIR and clinical data, and MATLAB scripts used for data analysis. SM_ATRFTIR.xlxs: ATR-FTIR spectra from dry-film and tissue (liver) samples SM_LCMS.xlsx: Annotated peak table from the lipidomic analysis of tissue (liver) samples by UPLC-ESI(+/-)-TOFMS plot_idclasses3dso.m: MATLAB function to reproduce the distribution of lipid classes or subclasses in the data set object Liver_IRMS.mat: MATLAB file including the ATR-FTIR, LC-MS, reference and clinical information used in the study. Liver_IRMS.mlx (and Liver_IRMS.pdf): MATLAB .mlx file with the code required to reproduce results included in the study.

{"references": ["10.1021/acs.analchem.0c02735"]}