Evidence map›Paper›PMID 37377355›Full record

ArticleEmerging microbes & infections2023

Lipid signatures of West Nile virus infection unveil alterations of sphingolipid metabolism providing novel biomarkers.

Patricia Mingo-Casas, Javier Sanchez-Céspedes, Ana-Belén Blázquez, Josefina Casas, María Balsera-Manzanero, Laura Herrero, Ana Vázquez, Jerónimo Pachón, Manuela Aguilar-Guisado, José Miguel Cisneros and 2 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Patricia Mingo-CasasDepartment of Biotechnology, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Madrid, Spain.ORCID 0000-0003-1207-240X
Javier Sanchez-CéspedesDepartment of Infectious Diseases, Microbiology and Parasitology, Virgen del Rocío University Hospital, Seville, Spain.ORCID 0000-0003-2707-1979
Ana-Belén BlázquezDepartment of Biotechnology, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Madrid, Spain.ORCID 0000-0002-0847-0977
Josefina CasasDepartment of Biological Chemistry, Institute for Advanced Chemistry of Catalonia (IQAC-CSIC), Barcelona, Spain.ORCID 0000-0002-7926-5209
María Balsera-ManzaneroInstitute of Biomedicine of Seville (IBiS), Virgen del Rocío University Hospital/CSIC/University of Seville, Seville, Spain.ORCID 0000-0001-5667-925X
Laura HerreroCentro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.
Ana VázquezCentro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0002-9872-3316
Jerónimo PachónInstitute of Biomedicine of Seville (IBiS), Virgen del Rocío University Hospital/CSIC/University of Seville, Seville, Spain.ORCID 0000-0002-8166-5308
Manuela Aguilar-GuisadoDepartment of Infectious Diseases, Microbiology and Parasitology, Virgen del Rocío University Hospital, Seville, Spain.ORCID 0000-0001-5639-9434
José Miguel CisnerosDepartment of Infectious Diseases, Microbiology and Parasitology, Virgen del Rocío University Hospital, Seville, Spain.ORCID 0000-0001-5001-672X
Juan-Carlos SaizDepartment of Biotechnology, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Madrid, Spain.ORCID 0000-0001-8269-5544
Miguel A Martín-AcebesDepartment of Biotechnology, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Madrid, Spain.ORCID 0000-0001-6015-3613
Instituto de Salud Carlos III · ESInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria · ESInstituto de Biomedicina de Sevilla · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

West Nile virus (WNV) is a neurotropic flavivirus transmitted by the bites of infected mosquitoes. Severe forms of West Nile disease (WND) can curse with meningitis, encephalitis or acute flaccid paralysis. A better understanding of the physiopathology associated with disease progression is mandatory to find biomarkers and effective therapies. In this scenario, blood derivatives (plasma and serum) constitute the more commonly used biofluids due to its ease of collection and high value for diagnostic purposes. Therefore, the potential impact of this virus in the circulating lipidome was addressed combining the analysis of samples from experimentally infected mice and naturally WND patients. Our results unveil dynamic alterations in the lipidome that define specific metabolic fingerprints of different infection stages. Concomitant with neuroinvasion in mice, the lipid landscape was dominated by a metabolic reprograming that resulted in significant elevations of circulating sphingolipids (ceramides, dihydroceramides, and dihydrosphingomyelins), phosphatidylethanolamines and triacylglycerols. Remarkably, patients suffering from WND also displayed an elevation of ceramides, dihydroceramides, lactosylceramides, and monoacylglycerols in their sera. The dysregulation of sphingolipid metabolism by WNV may provide new therapeutic opportunities and supports the potential of certain lipids as novel peripheral biomarkers of WND progression.

Indexed as

West Nile FeverWest Nile virusAnimalsBiomarkersCeramidesMiceSphingolipidsBiomarkersCeramidesdihydroceramideSphingolipidsbiomarkerlipidpatientviral infectionWest Nile virus

Identifiers

PMID37377355
PMCPMC10337513
OpenAlexW4382344980

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.