ArticleMethods in molecular biology (Clifton, N.J.)2016
Advanced Shotgun Lipidomics for Characterization of Altered Lipid Patterns in Neurodegenerative Diseases and Brain Injury.
Article in Methods in molecular biology (Clifton, N.J.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- Role of Nutritional Elements in Skin Homeostasis: A Review.Biomolecules · 2025Review
- Multi-Omics Analysis of Circulating Exosomes in Adherent Long-Term Treated OSA Patients.International journal of molecular sciences · 2023Article
- Regulatory T cell differentiation is controlled by αKG-induced alterations in mitochondrial metabolism and lipid homeostasis.Cell reports · 2021Article
- Review
- Lipid alterations in human frontal cortex in ALS-FTLD-TDP43 proteinopathy spectrum are partly related to peroxisome impairment.Neuropathology and applied neurobiology · 2021Article
- Article
- Evaluating a targeted multiple reaction monitoring approach to global untargeted lipidomic analyses of human plasma.Rapid communications in mass spectrometry : RCM · 2020Article
- Recent advances in analytical strategies for mass spectrometry-based lipidomics.Analytica chimica acta · 2020Review
- Sample Preparation Methods for Lipidomics Approaches Used in Studies of Obesity.Molecules (Basel, Switzerland) · 2020Review
- Effect of high fat diet on phenotype, brain transcriptome and lipidome in Alzheimer's model mice.Scientific reports · 2017Article
- Lipidomics-Reshaping the Analysis and Perception of Type 2 Diabetes.International journal of molecular sciences · 2016Review
- Improved Butanol-Methanol (BUME) Method by Replacing Acetic Acid for Lipid Extraction of Biological Samples.Lipids · 2016Article
- Applications of Fourier Transform Ion Cyclotron Resonance (FT-ICR) and Orbitrap Based High Resolution Mass Spectrometry in Metabolomics and Lipidomics.International journal of molecular sciences · 2016Review
- Lipidomic characterization of extracellular vesicles in human serum.Journal of circulating biomarkersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Multi-dimensional mass spectrometry-based shotgun lipidomics (MDMS-SL) is a powerful technology platform among current lipidomics practices due to its high efficiency, sensitivity, and reproducibility, as well as its broad coverage. This platform has been widely used to determine the altered lipid profiles induced by diseases, injury, genetic manipulations, drug treatments, and aging, among others. Herein, we summarize the principles underlying this platform and present a protocol for analysis of many of the lipid classes and subclasses covered by MDMS-SL directly from lipid extracts of brain samples. We believe that this protocol can aid researchers in the field to determine altered lipid patterns in neurodegenerative diseases and brain injury.
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What OpenQuestion holds
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.