Spatial Metabolomics of the Human Kidney using MALDI Trapped Ion Mobility Imaging Mass Spectrometry

Neumann, Elizabeth; Migas, Lukasz; Allen, James L.; Caprioli, Richard M.; Plas, Raf Van de; Spraggins, Jeffrey M.

doi:10.1021/acs.analchem.0c02051

Cited by 59 publications

(62 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This in turn opens up new ways to better understand the molecular and structural architecture of organs. Other omics data technology such as spatial metabolomics (Neumann et al 2020 ) have emerged providing further insights in a cell state.…”

Section: Discussionmentioning

confidence: 99%

“…Metabolomics provides insight into the mechanisms of kidney disease (Abbiss et al 2019 ), the discovery of new therapeutic options (Rhee 2015 ), and the early detection of chronic kidney disease (CKD) (Chen et al 2019 ; Grams et al 2018 ). The next challenge in metabolomics is to develop a mechanistic understanding of metabolic processes in space with cellular and subcellular spatial resolution (Neumann et al 2020 ).…”

Section: Which Datasets Can Be Used In Systems Nephrologymentioning

confidence: 99%

See 1 more Smart Citation

Perspectives in systems nephrology

et al. 2021

View full text Add to dashboard Cite

Chronic kidney diseases (CKD) are a major health problem affecting approximately 10% of the world’s population and posing increasing challenges to the healthcare system. While CKD encompasses a broad spectrum of pathological processes and diverse etiologies, the classification of kidney disease is currently based on clinical findings or histopathological categorizations. This descriptive classification is agnostic towards the underlying disease mechanisms and has limited progress towards the ability to predict disease prognosis and treatment responses. To gain better insight into the complex and heterogeneous disease pathophysiology of CKD, a systems biology approach can be transformative. Rather than examining one factor or pathway at a time, as in the reductionist approach, with this strategy a broad spectrum of information is integrated, including comprehensive multi-omics data, clinical phenotypic information, and clinicopathological parameters. In recent years, rapid advances in mathematical, statistical, computational, and artificial intelligence methods enable the mapping of diverse big data sets. This holistic approach aims to identify the molecular basis of CKD subtypes as well as individual determinants of disease manifestation in a given patient. The emerging mechanism-based patient stratification and disease classification will lead to improved prognostic and predictive diagnostics and the discovery of novel molecular disease-specific therapies.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Which Datasets Can Be Used In Systems Nephrologymentioning

confidence: 99%

Perspectives in systems nephrology

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Their works involving LC-TIMS-MS include the determination of isomeric drugs of abuse and their metabolites in human urine [119] or the targeted monitoring of polychlorinated biphenyl metabolites in human plasma [120]. TIMS has also been used, combined with MALDI, for spatial metabolomics [121,122].…”

Section: Trapped Ion Mobility Spectrometry (Tims)mentioning

confidence: 99%

Ion Mobility–Mass Spectrometry for Bioanalysis

et al. 2021

View full text Add to dashboard Cite

This paper aims to cover the main strategies based on ion mobility spectrometry (IMS) for the analysis of biological samples. The determination of endogenous and exogenous compounds in such samples is important for the understanding of the health status of individuals. For this reason, the development of new approaches that can be complementary to the ones already established (mainly based on liquid chromatography coupled to mass spectrometry) is welcomed. In this regard, ion mobility spectrometry has appeared in the analytical scenario as a powerful technique for the separation and characterization of compounds based on their mobility. IMS has been used in several areas taking advantage of its orthogonality with other analytical separation techniques, such as liquid chromatography, gas chromatography, capillary electrophoresis, or supercritical fluid chromatography. Bioanalysis is not one of the areas where IMS has been more extensively applied. However, over the last years, the interest in using this approach for the analysis of biological samples has clearly increased. This paper introduces the reader to the principles controlling the separation in IMS and reviews recent applications using this technique in the field of bioanalysis.

show abstract

“…Spatially resolved metabolites and their isomers in human kidneys were reported by the implementation of ion mobility in MALDI MSI experiments [113]. Many metabolites were localized throughout the entire kidney, such as inosine, although several were detected in different segments of the kidney.…”

Section: Animal Tissues As Exemplary For Molecular Imaging: Brain Testicles and Kidneymentioning

confidence: 99%

Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging

Sgobba

Daguerre

Giampà

2021

IJMS

View full text Add to dashboard Cite

Classic metabolomic methods have proven to be very useful to study functional biology and variation in the chemical composition of different tissues. However, they do not provide any information in terms of spatial localization within fine structures. Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI MSI) does and reaches at best a spatial resolution of 0.25 μm depending on the laser setup, making it a very powerful tool to analyze the local complexity of biological samples at the cellular level. Here, we intend to give an overview of the diversity of the molecules and localizations analyzed using this method as well as to update on the latest adaptations made to circumvent the complexity of samples. MALDI MSI has been widely used in medical sciences and is now developing in research areas as diverse as entomology, microbiology, plant biology, and plant–microbe interactions, the rhizobia symbiosis being the most exhaustively described so far. Those are the fields of interest on which we will focus to demonstrate MALDI MSI strengths in characterizing the spatial distributions of metabolites, lipids, and peptides in relation to biological questions.

show abstract

Spatial Metabolomics of the Human Kidney using MALDI Trapped Ion Mobility Imaging Mass Spectrometry

Cited by 59 publications

References 70 publications

Perspectives in systems nephrology

Perspectives in systems nephrology

Ion Mobility–Mass Spectrometry for Bioanalysis

Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging

Contact Info

Product

Resources

About