Evaluation of Proteomic and Lipidomic Changes in Aeromonas -Infected Trout Kidney Tissue with the Use of FT-IR Spectroscopy and MALDI Mass Spectrometry Imaging.
Joanna MatysAnna Turska-SzewczukBarbara GierobaMaria KurzylewskaPękala-Safińska AgnieszkaAnna Sroka-BartnickaPublished in: International journal of molecular sciences (2022)
Aeromonas species are opportunistic bacteria causing a vast spectrum of human diseases, including skin and soft tissue infections, meningitis, endocarditis, peritonitis, gastroenteritis, and finally hemorrhagic septicemia. The aim of our research was to indicate the molecular alterations in proteins and lipids profiles resulting from Aeromonas sobria and A. salmonicida subsp. salmonicida infection in trout kidney tissue samples. We successfully applied FT-IR (Fourier transform infrared) spectroscopy and MALDI-MSI (matrix-assisted laser desorption/ionization mass spectrometry imaging) to monitor changes in the structure and compositions of lipids, secondary conformation of proteins, and provide useful information concerning disease progression. Our findings indicate that the following spectral bands' absorbance ratios (spectral biomarkers) can be used to discriminate healthy tissue from pathologically altered tissue, for example, lipids (CH 2 /CH 3 ), amide I/amide II, amide I/CH 2 and amide I/CH 3 . Spectral data obtained from 10 single measurements of each specimen indicate numerous abnormalities concerning proteins, lipids, and phospholipids induced by Aeromonas infection, suggesting significant disruption of the cell membranes. Moreover, the increase in the content of lysolipids such as lysophosphosphatidylcholine was observed. The results of this study suggest the application of both methods MALDI-MSI and FT-IR as accurate methods for profiling biomolecules and identifying biochemical changes in kidney tissue during the progression of Aeromonas infection.
Keyphrases
- mass spectrometry
- high resolution
- soft tissue
- liquid chromatography
- room temperature
- fatty acid
- single cell
- endothelial cells
- stem cells
- high performance liquid chromatography
- healthcare
- gas chromatography
- big data
- magnetic resonance imaging
- social media
- machine learning
- electronic health record
- mesenchymal stem cells
- photodynamic therapy
- tandem mass spectrometry
- bone marrow