Evidence map›Paper›PMID 33821792›Full record

ArticleeLife2021

Cerebrospinal fluid proteome maps detect pathogen-specific host response patterns in meningitis.

Anahita Bakochi, Tirthankar Mohanty, Paul Theodor Pyl, Carlos Alberto Gueto-Tettay, Lars Malmström, Adam Linder, Johan Malmström

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Cerebrospinal fluid: a target of some fungi and an overview.Memorias do Instituto Oswaldo Cruz · 2023
    Article
  12. Article
  13. Review
  14. Article
  15. Article
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.

Anahita BakochiDepartment of Clinical Sciences, Division of Infection Medicine, Lund University, Lund, Sweden.ORCID 0000-0001-8144-8525
Tirthankar MohantyDepartment of Clinical Sciences, Division of Infection Medicine, Lund University, Lund, Sweden.
Paul Theodor PylDivision of Surgery, Oncology, and Pathology, Department of Clinical Sciences, Biomedical Center, Lund University, Lund, Sweden.
Carlos Alberto Gueto-TettayDepartment of Clinical Sciences, Division of Infection Medicine, Lund University, Lund, Sweden.
Lars MalmströmDepartment of Clinical Sciences, Division of Infection Medicine, Lund University, Lund, Sweden.ORCID 0000-0001-9885-9312
Adam LinderDepartment of Clinical Sciences, Division of Infection Medicine, Lund University, Lund, Sweden.
Johan MalmströmDepartment of Clinical Sciences, Division of Infection Medicine, Lund University, Lund, Sweden.ORCID 0000-0002-2889-7169
Lund University · SE

Funding

Crafoord Foundation 20100892European Research Council ERC-2012-StG-309831Knut och Alice Wallenbergs Stiftelse 2017.0271Stiftelsen Olle Engkvist Byggmästare 2012.0178Vetenskapsrådet 2015-02481Vetenskapsrådet 2018-05795Vetenskapsrådet 2018-05973
6 · The paper itself

Abstract

Meningitis is a potentially life-threatening infection characterized by the inflammation of the leptomeningeal membranes. Many different viral and bacterial pathogens can cause meningitis, with differences in mortality rates, risk of developing neurological sequelae, and treatment options. Here, we constructed a compendium of digital cerebrospinal fluid (CSF) proteome maps to define pathogen-specific host response patterns in meningitis. The results revealed a drastic and pathogen-type specific influx of tissue-, cell-, and plasma proteins in the CSF, where, in particular, a large increase of neutrophil-derived proteins in the CSF correlated with acute bacterial meningitis. Additionally, both acute bacterial and viral meningitis result in marked reduction of brain-enriched proteins. Generation of a multiprotein LASSO regression model resulted in an 18-protein panel of cell- and tissue-associated proteins capable of classifying acute bacterial meningitis and viral meningitis. The same protein panel also enabled classification of tick-borne encephalitis, a subgroup of viral meningitis, with high sensitivity and specificity. The work provides insights into pathogen-specific host response patterns in CSF from different disease etiologies to support future classification of pathogen type based on host response patterns in meningitis.

Indexed as

AdultAgedAged, 80 and overCentral Nervous SystemEncephalitis, ViralFemaleHost-Pathogen InteractionsHumansInfantMaleMeningesMeningitis, BacterialMeningitis, ViralMiddle AgedModels, TheoreticalNeutrophilsProteomecerebrospinal fluidhumaninfectious diseasemeningitismicrobiologyproteomics

Identifiers

PMID33821792
PMCPMC8043743
OpenAlexW3148275375

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.