ArticlePloS one
Differential Lipid Profiles of Normal Human Brain Matter and Gliomas by Positive and Negative Mode Desorption Electrospray Ionization - Mass Spectrometry Imaging.
Article in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 74 citations in OpenAlex.
- Intraoperative assessment of tumor margins during glioma resection by desorption electrospray ionization-mass spectrometry.Proceedings of the National Academy of Sciences of the United States of America · 2017Trial
- Intraoperative Mass Spectrometry in Oncology: Technologies, Clinical Applications, and Challenges.Molecules (Basel, Switzerland) · 2026Review
- Topological segmentation of mass spectrometry imaging data.Journal of mass spectrometry and advances in the clinical lab · 2025Article
- Ambient ionization mass spectrometry in brain cancer diagnosis.Journal of mass spectrometry and advances in the clinical lab · 2025Review
- Nanoneedles enable spatiotemporal lipidomics of living tissues.Nature nanotechnology · 2025Article
- Tumor-Promoted Changes in Pediatric Brain Histology Can Be Distinguished from Normal Parenchyma by Desorption Electrospray Ionization Mass Spectrometry Imaging.Biomedicines · 2024Article
- NAFPD exacerbation by hyperlipidemia combined with hyperuricemia: a pilot rat experiment in lipidomics.Frontiers in nutrition · 2024Article
- Molecular characterization of human peripheral nerves using desorption electrospray ionization mass spectrometry imaging.Journal of anatomy · 2023Article
- Cellular Conversations in Glioblastoma Progression, Diagnosis and Treatment.Cellular and molecular neurobiology · 2023Review
- The diagnostic accuracy of intraoperative differentiation and delineation techniques in brain tumours.Discover oncology · 2022Review
- Evaluation of 6 MALDI-Matrices for 10 μm Lipid Imaging and On-Tissue MSn with AP-MALDI-Orbitrap.Journal of the American Society for Mass Spectrometry · 2022Article
- Coated Blade Spray-Mass Spectrometry as a New Approach for the Rapid Characterization of Brain Tumors.Molecules (Basel, Switzerland) · 2022Article
- Use of Raman spectroscopy to evaluate the biochemical composition of normal and tumoral human brain tissues for diagnosis.Lasers in medical science · 2022Article
- Metabolic profiles of human brain parenchyma and glioma for rapid tissue diagnosis by targeted desorption electrospray ionization mass spectrometry.Analytical and bioanalytical chemistry · 2021Article
- New chemical biopsy tool for spatially resolved profiling of human brain tissue in vivo.Scientific reports · 2021Article
- Alterations in lipid profile upon uterine fibroids and its recurrence.Scientific reports · 2021Article
- Glioblastoma Metabolomics-In Vitro Studies.Metabolites · 2021Review
- Direct Liquid Extraction and Ionization Techniques for Understanding Multimolecular Environments in Biological Systems (Secondary Publication).Mass spectrometry (Tokyo, Japan) · 2021Article
- Rapid automated diagnosis of primary hepatic tumour by mass spectrometry and artificial intelligence.Liver international : official journal of the International Association for the Study of the Liver · 2020Article
- Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology.Frontiers in pharmacology · 2020Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Desorption electrospray ionization-mass spectrometry (DESI-MS) imaging was used to analyze unmodified human brain tissue sections from 39 subjects sequentially in the positive and negative ionization modes. Acquisition of both MS polarities allowed more complete analysis of the human brain tumor lipidome as some phospholipids ionize preferentially in the positive and others in the negative ion mode. Normal brain parenchyma, comprised of grey matter and white matter, was differentiated from glioma using positive and negative ion mode DESI-MS lipid profiles with the aid of principal component analysis along with linear discriminant analysis. Principal component-linear discriminant analyses of the positive mode lipid profiles was able to distinguish grey matter, white matter, and glioma with an average sensitivity of 93.2% and specificity of 96.6%, while the negative mode lipid profiles had an average sensitivity of 94.1% and specificity of 97.4%. The positive and negative mode lipid profiles provided complementary information. Principal component-linear discriminant analysis of the combined positive and negative mode lipid profiles, via data fusion, resulted in approximately the same average sensitivity (94.7%) and specificity (97.6%) of the positive and negative modes when used individually. However, they complemented each other by improving the sensitivity and specificity of all classes (grey matter, white matter, and glioma) beyond 90% when used in combination. Further principal component analysis using the fused data resulted in the subgrouping of glioma into two groups associated with grey and white matter, respectively, a separation not apparent in the principal component analysis scores plots of the separate positive and negative mode data. The interrelationship of tumor cell percentage and the lipid profiles is discussed, and how such a measure could be used to measure residual tumor at surgical margins.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.