Evidence map›Paper›PMID 30871169›Full record

ArticleInternational journal of molecular sciences2019

Integrated Lipidomics and Metabolomics Analysis of Tears in Multiple Sclerosis: An Insight into Diagnostic Potential of Lacrimal Fluid.

Ilaria Cicalini, Claudia Rossi, Damiana Pieragostino, Luca Agnifili, Leonardo Mastropasqua, Maria di Ioia, Giovanna De Luca, Marco Onofrj, Luca Federici, Piero Del Boccio

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

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  7. Tear fluid participates in systemic immunity.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
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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

10 authors at 2 institutions in 1 country.

Ilaria CicaliniDepartment of Pharmacy, University ''G. d'Annunzio'' of Chieti-Pescara, 66100 Chieti, Italy. ilaria.cicalini@unich.it.ORCID 0000-0002-9792-2225
Claudia RossiAnalytical Biochemistry and Proteomics Laboratory, Centre on Aging Sciences and Translational Medicine (Ce.S.I-MeT), University ''G. d'Annunzio'' of Chieti-Pescara, 66100 Chieti, Italy. claudia.rossi@unich.it.ORCID 0000-0003-0949-0280
Damiana PieragostinoAnalytical Biochemistry and Proteomics Laboratory, Centre on Aging Sciences and Translational Medicine (Ce.S.I-MeT), University ''G. d'Annunzio'' of Chieti-Pescara, 66100 Chieti, Italy. dpieragostino@unich.it.ORCID 0000-0003-1015-3484
Luca AgnifiliOpthalmic Clinic, Department of Medicine and Aging Science, "G. d'Annunzio" University of Chieti-Pescara, 66100 Chieti, Italy. l.agnifili@unich.it.ORCID 0000-0002-1625-6305
Leonardo MastropasquaOpthalmic Clinic, Department of Medicine and Aging Science, "G. d'Annunzio" University of Chieti-Pescara, 66100 Chieti, Italy. leonardo.mastropasqua@unich.it.
Maria di IoiaUnit of Neurology Ss Annunziata Hospital, 66100 Chieti, Italy. maria.diioia@unich.it.
Giovanna De LucaUnit of Neurology Ss Annunziata Hospital, 66100 Chieti, Italy. gio.deluca05@yahoo.com.ORCID 0000-0002-7693-2256
Marco OnofrjUnit of Neurology Ss Annunziata Hospital, 66100 Chieti, Italy. marco.onofrj@unich.it.
Luca FedericiAnalytical Biochemistry and Proteomics Laboratory, Centre on Aging Sciences and Translational Medicine (Ce.S.I-MeT), University ''G. d'Annunzio'' of Chieti-Pescara, 66100 Chieti, Italy. lfederici@unich.it.
Piero Del BoccioDepartment of Pharmacy, University ''G. d'Annunzio'' of Chieti-Pescara, 66100 Chieti, Italy. piero.delboccio@unich.it.ORCID 0000-0003-1653-2194
University of Chieti-Pescara · ITOspedale SS. Annunziata · IT

Funding

Fondazione Italiana Sclerosi Multipla 2015/R/12Ministero della Salute GR-2010-2307655
6 · The paper itself

Abstract

Metabolomics based on mass spectrometry represents an innovative approach to characterize multifactorial diseases, such as multiple sclerosis (MuS). To date, the most important biomarker source for MuS diagnosis is the cerebrospinal fluid. However, an important goal for research is to identify new molecules in more easily accessible biological fluids. A very interesting biofluid in MuS is represented by tears, considered as an intermediate fluid between the cerebrospinal fluid and serum. In this work, we developed a merged strategy for the analysis of lipids containing choline by Liquid Chromatography coupled to Tandem Mass Spectrometry (LC-MS/MS), as well as for the targeted analysis of free carnitine, acylcarnitines and aminoacids by direct infusion mass spectrometry. Samples for both metabolomics and lipidomics approaches were obtained in a single extraction procedure from tears of patients affected by MuS and healthy controls. Tear lipidomics showed 30 phospholipids significantly modulated and, notably, many sphingomyelins resulted lower in MuS. Moreover, the metabolomics approach carried out both on tears and serum highlighted the diagnostic potential of specific aminoacids and acylcarnitines. In conclusion, the metabolic profiling of tears appears to reflect the pathological conditions of the central nervous system, suggesting that the molecular repository of tears can be considered as a source of potential biomarkers for MuS.

Indexed as

AdultAmino AcidsBiomarkersCarnitineCentral Nervous SystemChromatography, LiquidFemaleHumansLacrimal ApparatusLipidsMetabolomicsMiddle AgedMultiple SclerosisPhospholipidsTandem Mass SpectrometryTearsacylcarnitineAmino AcidsBiomarkersCarnitineLipidsPhospholipidsacylcarnitinesamino acidsbiomarkerslipidomicsmetabolomicsmultiple sclerosistears

Identifiers

PMID30871169
PMCPMC6471885
OpenAlexW2922164715

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.