Evidence map›Paper›PMID 32408521›Full record

ArticleCells2020

An Innovative Lipidomic Workflow to Investigate the Lipid Profile in a Cystic Fibrosis Cell Line.

Michele Dei Cas, Aida Zulueta, Alessandra Mingione, Anna Caretti, Riccardo Ghidoni, Paola Signorelli, Rita Paroni

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 34 citations in OpenAlex.

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  16. The Lipid Asset Is Unbalanced in Peripheral Nerve Sheath Tumors.International journal of molecular sciences · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Michele Dei CasLaboratory of Clinical Biochemistry and Mass Spectrometry, Department of Health Sciences, Università degli Studi di Milano, 20142 Milan, Italy.
Aida ZuluetaLaboratory of Biochemistry and Molecular Biology, Department of Health Sciences, Università degli Studi di Milano, 20142 Milan, Italy.
Alessandra MingioneLaboratory of Biochemistry and Molecular Biology, Department of Health Sciences, Università degli Studi di Milano, 20142 Milan, Italy.
Anna CarettiLaboratory of Biochemistry and Molecular Biology, Department of Health Sciences, Università degli Studi di Milano, 20142 Milan, Italy.
Riccardo GhidoniLaboratory of Biochemistry and Molecular Biology, Department of Health Sciences, Università degli Studi di Milano, 20142 Milan, Italy.
Paola SignorelliLaboratory of Biochemistry and Molecular Biology, Department of Health Sciences, Università degli Studi di Milano, 20142 Milan, Italy.
Rita ParoniLaboratory of Clinical Biochemistry and Mass Spectrometry, Department of Health Sciences, Università degli Studi di Milano, 20142 Milan, Italy.
University of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Altered lipid metabolism has been associated to cystic fibrosis disease, which is characterized by chronic lung inflammation and various organs dysfunction. Here, we present the validation of an untargeted lipidomics approach based on high-resolution mass spectrometry aimed at identifying those lipid species that unequivocally sign CF pathophysiology. Of n.13375 mass spectra recorded on cystic fibrosis bronchial epithelial airways epithelial cells IB3, n.7787 presented the MS/MS data, and, after software and manual validation, the final number of annotated lipids was restricted to n.1159. On these lipids, univariate and multivariate statistical approaches were employed in order to select relevant lipids for cellular phenotype discrimination between cystic fibrosis and HBE healthy cells. In cystic fibrosis IB3 cells, a pervasive alteration in the lipid metabolism revealed changes in the classes of ether-linked phospholipids, cholesterol esters, and glycosylated sphingolipids. Through functions association, it was evidenced that lipids variation involves the moiety implicated in membrane composition, endoplasmic reticulum, mitochondria compartments, and chemical and biophysical lipids properties. This study provides a new perspective in understanding the pathogenesis of cystic fibrosis and strengthens the need to use a validated mass spectrometry-based lipidomics approach for the discovery of potential biomarkers and perturbed metabolism.

Indexed as

LipidomicsBiosynthetic PathwaysCell LineCystic FibrosisDiscriminant AnalysisEpithelial CellsHumansLeast-Squares AnalysisLipid MetabolismLipidsPhenotypeLipidsbiomarkercell structurecystic fibrosislipidomicsmembrane compositionOMICSsphingolipiduntargeted analysis

Identifiers

PMID32408521
PMCPMC7291020
OpenAlexW3025825599

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.