Imaging mass spectrometry: a new tool for kidney disease investigations

Łałowski, Maciej; Magni, Fulvio; Mainini, Veronica; Monogioudi, Evanthia; Gotsopoulos, Athanasios; Soliymani, Rabah; Chinello, Clizia; Baumann, Marc

doi:10.1093/ndt/gft008

Cited by 28 publications

(17 citation statements)

References 54 publications

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“…81 Some of these include the study of anticancer drug distributions in mouse kidneys, 82 glomerular adenosine triphosphateadenosine monophosphate ratios in diabetic mouse models, 83 N -linked glycans in murine kidneys, 84 murine tubular lipid distributions in immunoglobulin A nephropathy, 85 region-specific sphingolipid metabolism in murine models of obesity, 86 sulfatide turnover in animal models of lipid storage disease, 87 sulfated lipid markers in polycystic kidney disease rats, 88 renal angiotensin metabolism in mice, 89 peptide classification and pathogenesis of amyloidosis in humans, 90 racial disparities in Wilms tumor incidence and human peptide biology, 91 rat protein biomarkers of gentamicin nephrotoxicity, 92 and assessing proteomic patterns of glomerulosclerosis for disease classification and prosclerotic mechanism determination in rats. 93 While it is impractical to provide a detailed description of all IMS renal research in this review, several recent reports are described below that highlight discoveries in areas of clear cell renal cell carcinoma, diabetic nephropathy (DN), preclinical renal drug toxicology, and infectious disease.…”

Section: Maldi Imaging Mass Spectrometry: a Molecular Microscope For mentioning

confidence: 99%

Label-free molecular imaging of the kidney

Prentice

Caprioli

Vuiblet

2017

Kidney International

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Section: Maldi Imaging Mass Spectrometry: a Molecular Microscope For mentioning

confidence: 99%

Label-free molecular imaging of the kidney

Prentice

Caprioli

Vuiblet

2017

Kidney International

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“…Our method is a modified version of previous studies. 29,30 Cultured Rat Glomerular Endothelial Cells and Mesangial Cells…”

Section: Q16mentioning

confidence: 99%

Podocyte Injury–Driven Lipid Peroxidation Accelerates the Infiltration of Glomerular Foam Cells in Focal Segmental Glomerulosclerosis

Hara

Kobayashi

Sakamoto

et al. 2015

The American Journal of Pathology

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Intracapillary foam cell infiltration with podocyte alterations is a characteristic pathology of focal segmental glomerulosclerosis (FSGS). We investigated the possible role of podocyte injury in glomerular macrophage and foam cell infiltration in a podocyte-selective injury model (NEP25 mice) and hypercholesterolemic model [low-density lipoprotein receptor deficiency (LDLR(-/-)) mice] with doxorubicin-induced nephropathy. Acute podocyte selective injury alone failed to induce glomerular macrophages in the NEP25 mice. However, in the doxorubicin-treated hypercholesterolemic LDLR(-/-) mice, glomerular macrophages/foam cells significantly increased and were accompanied by lipid deposition and the formation and ingestion of oxidized phospholipids (oxPLs). Glomerular macrophages significantly correlated with the amount of glomerular oxPL. The NEP25/LDLR(-/-) mice exhibited severe hypercholesterolemia, glomerular lipid deposition, and renal dysfunction. Imaging mass spectrometry revealed that a major component of oxidized low-density lipoprotein, lysophosphatidylcholine 16:0 and 18:0, was present only in the glomeruli of NEP25/LDLR(-/-) mice. Lysophosphatidylcholine 16:0 stimulated mesangial cells and macrophages, and lysophosphatidylcholine 18:0 stimulated glomerular endothelial cells to express adhesion molecules and chemokines, promoting macrophage adhesion and migration in vitro. In human FSGS, glomerular macrophage-derived foam cells contained oxPLs accompanied by the expression of chemokines in the tuft. In conclusion, glomerular lipid modification represents a novel pathology by podocyte injury, promoting FSGS. Podocyte injury-driven lysophosphatidylcholine de novo accelerated glomerular macrophage-derived foam cell infiltration via lysophosphatidylcholine-mediated expression of adhesion molecules and chemokines in glomerular resident cells.

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“…Matrix-Assisted Laser Desorption/Ionization -Mass Spectrometry Imaging (MALDI-MSI) is a powerful technology that allows the evaluation of the spatial distribution and relative abundance of biomolecules directly on-tissue [1,2], without the need of any labeling or extraction processes that could compromise the molecular structure and mask the presence of altered expression of the analytes of interest, i.e. when these alterations are present in a small area of the tissue.…”

Section: Introductionmentioning

confidence: 99%

“…(1) At first, the structure of the data obtained from a MALDI-MSI analysis is explained, in order to make the reader aware of the needs and problematics related to the data and its processing, which is then presented more in detail. (2) Once the data has been processed to guarantee reproducibility and avoid artifacts, the data mining and elaboration phase is described by highlighting three of the most common processes for solving clinical problems: clustering, feature selection, and classification. (3) For each process, the basic statistic concepts are provided, along with examples of applications in the clinical practice and a tutorial to achieve the proposed aims via Orange Canvas and Weka.…”

Section: Introductionmentioning

confidence: 99%

Machine learning approaches in MALDI-MSI: clinical applications

Galli

Zoppis

Smith

et al. 2016

Expert Review of Proteomics

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This article reviews some of the challenges in data elaboration with particular emphasis on machine learning techniques employed in clinical applications, and can be useful in general as an entry point for those who want to study the computational aspects. Several characteristics of data processing are described, enlightening advantages and disadvantages. Different approaches for data elaboration focused on clinical applications are also provided. Practical tutorial based upon Orange Canvas and Weka software is included, helping familiarization with the data processing. Expert commentary: Recently, MALDI-MSI has gained considerable attention and has been employed for research and diagnostic purposes, with successful results. Data dimensionality constitutes an important issue and statistical methods for information-preserving data reduction represent one of the most challenging aspects. The most common data reduction methods are characterized by collecting independent observations into a single table. However, the incorporation of relational information can improve the discriminatory capability of the data.

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Imaging mass spectrometry: a new tool for kidney disease investigations

Cited by 28 publications

References 54 publications

Label-free molecular imaging of the kidney

Label-free molecular imaging of the kidney

Podocyte Injury–Driven Lipid Peroxidation Accelerates the Infiltration of Glomerular Foam Cells in Focal Segmental Glomerulosclerosis

Machine learning approaches in MALDI-MSI: clinical applications

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