Evidence map›Paper›PMID 27054608›Full record

ArticlePloS one2016

In Vitro Analysis of Metabolites Secreted during Infection of Lung Epithelial Cells by Cryptococcus neoformans.

Kah Leong Liew, Jap Meng Jee, Ivan Yap, Phelim Voon Chen Yong

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  3. Peroxisomes regulate virulence and cell density sensing inbioRxiv : the preprint server for biology · 2025
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  5. Pantothenate Auxotrophy in a Naturally Occurring Biocontrol Yeast.Applied and environmental microbiology · 2023
    Article
  6. Importance of Clinical Isolates inJournal of fungi (Basel, Switzerland) · 2023
    Review
  7. Article
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  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Rewiring of Metabolic Network inFrontiers in microbiology · 2019
    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

4 authors at 2 institutions in 1 country.

Kah Leong LiewSchool of Biosciences, Taylor's University, Subang Jaya, Selangor Darul Ehsan, Malaysia.
Jap Meng JeeSchool of Biosciences, Taylor's University, Subang Jaya, Selangor Darul Ehsan, Malaysia.
Ivan YapDepartment of Life Sciences, International Medical University, Kuala Lumpur, Malaysia.
Phelim Voon Chen YongSchool of Biosciences, Taylor's University, Subang Jaya, Selangor Darul Ehsan, Malaysia.
Taylor's University · MYInternational Medical University · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptococcus neoformans is an encapsulated basidiomycetous yeast commonly associated with pigeon droppings and soil. The opportunistic pathogen infects humans through the respiratory system and the metabolic implications of C. neoformans infection have yet to be explored. Studying the metabolic profile associated with the infection could lead to the identification of important metabolites associated with pulmonary infection. Therefore, the aim of the study was to simulate cryptococcal infection at the primary site of infection, the lungs, and to identify the metabolic profile and important metabolites associated with the infection at low and high multiplicity of infections (MOI). The culture supernatant of lung epithelial cells infected with C. neoformans at MOI of 10 and 100 over a period of 18 hours were analysed using gas chromatography mass spectrometry. The metabolic profiles obtained were further analysed using multivariate analysis and the pathway analysis tool, MetaboAnalyst 2.0. Based on the results from the multivariate analyses, ten metabolites were selected as the discriminatory metabolites that were important in both the infection conditions. The pathways affected during early C. neoformans infection of lung epithelial cells were mainly the central carbon metabolism and biosynthesis of amino acids. Infection at a higher MOI led to a perturbance in the β-alanine metabolism and an increase in the secretion of pantothenic acid into the growth media. Pantothenic acid production during yeast infection has not been documented and the β-alanine metabolism as well as the pantothenate and CoA biosynthesis pathways may represent underlying metabolic pathways associated with disease progression. Our study suggested that β-alanine metabolism and the pantothenate and CoA biosynthesis pathways might be the important pathways associated with cryptococcal infection.

Indexed as

MetabolomicsAdenocarcinomaCryptococcus neoformansGas Chromatography-Mass SpectrometryHumansIn Vitro TechniquesLung NeoplasmsMeningitis, CryptococcalTumor Cells, Cultured

Identifiers

PMID27054608
PMCPMC4824519
OpenAlexW2326645176

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.