Formalin-fixed
paraffin-embedded (FFPE) tissue represents the primary
source of clinical tissue and is routinely used in MALDI-MSI studies.
However, it is not particularly suitable for lipidomics imaging given
that many species are depleted during tissue processing. Irrespective,
a number of solvent-resistant lipids remain, but their extraction
may be hindered by the cross-link between proteins. Therefore, an
antigen retrieval step could enable the extraction of a greater number
of lipids and may provide information that is complementary to that
which can be obtained from other biomolecules, such as proteins. In
this short communication, we aim to address the effect of performing
antigen retrieval prior to MALDI-MSI of lipids in FFPE tissue. As
a result, an increased number of lipid signals could be detected and
may have derived from lipid species that are known to be implicated
in the lipid–protein cross-linking that is formed as a result
of formalin fixation. Human renal cancer tissue was used as a proof
of concept to determine whether using these detected lipid signals
were also able to highlight the histopathological regions that were
present. These preliminary findings may highlight the potential to
enhance the clinical relevance of the lipidomic information obtained
from FFPE tissue.
Purpose
Matrix‐assisted laser desorption/ionization mass spectrometry imaging (MALDI‐MSI) technology has advanced rapidly during recent years with the development of instruments equipped with low‐diameter lasers that are suitable for high spatial resolution imaging. This may provide significant advantages in certain fields of molecular pathology where more specific protein fingerprints of individual cell types are required, such as renal pathology.
Experimental design
Here MALDI‐MSI analysis of a cohort of membranous nephropathy (MN) patients is performed among which patients either responded favorably (R; n = 6), or unfavorably (NR; n = 4), to immunosuppressive treatment (Ponticelli Regimen), employing a 10 µm laser spot diameter.
Results
Specific tryptic peptide profiles of the different cellular regions within the glomerulus can be generated, similarly for the epithelial cells belonging to the proximal and distal tubules. Conversely, specific glomerular and sub‐glomerular profiles cannot be obtained while using the pixel size performed in previous studies (50 µm). Furthermore, two proteins are highlighted, sonic hedgehog and α‐smooth muscle actin, whose signal intensity and spatial localization within the sub‐glomerular and tubulointerstitial compartments differ between treatment responders and non‐responders.
Conclusions and clinical relevance
The present study exemplifies the advantage of using high spatial resolution MALDI‐MSI for the study of MN and highlights that such findings have the potential to provide complementary support in the routine prognostic assessment of MN patients.
Gastric cancer (GC) is one of the leading causes of cancer-related deaths worldwide and the disease outcome commonly depends upon the tumour stage at the time of diagnosis. However, this cancer can often be asymptomatic during the early stages and remain undetected until the later stages of tumour development, having a significant impact on patient prognosis. However, our comprehension of the mechanisms underlying the development of gastric malignancies is still lacking. For these reasons, the search for new diagnostic and prognostic markers for gastric cancer is an ongoing pursuit. Modern mass spectrometry imaging (MSI) techniques, in particular matrix-assisted laser desorption/ionisation (MALDI), have emerged as a plausible tool in clinical pathology as a whole. More specifically, MALDI-MSI is being increasingly employed in the study of gastric cancer and has already elucidated some important disease checkpoints that may help us to better understand the molecular mechanisms underpinning this aggressive cancer. Here we report the state of the art of MALDI-MSI approaches, ranging from sample preparation to statistical analysis, and provide a complete review of the key findings that have been reported in the literature thus far.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.