Evidence map›Paper›PMID 27644984›Full record

ArticleMolecular & cellular proteomics : MCP2016

Comparative Ploidy Proteomics of Candida albicans Biofilms Unraveled the Role of the AHP1 Gene in the Biofilm Persistence Against Amphotericin B.

Thuyen Truong, Guisheng Zeng, Lin Qingsong, Lim Teck Kwang, Cao Tong, Fong Yee Chan, Yue Wang, Chaminda Jayampath Seneviratne

Abstract readComparative Study
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Critical reviews in microbiology · 2021
    Review
  11. Studying Bacterial Persistence: Established Methods and Current Advances.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  12. Article
  13. The Proteome of Community LivingMicroorganisms · 2020
    Article
  14. Oxidative Imbalance inFrontiers in microbiology · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Antimicrobial agents and chemotherapy · 2019
    Article
  19. Article
  20. Review
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

8 authors.

Thuyen TruongFrom the ‡Oral Sciences, Faculty of Dentistry, National University of Singapore, Singapore 119083.ORCID 0000-0003-4172-3670
Guisheng Zengthe §Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Proteos, Singapore 138673, and.
Lin Qingsongthe ¶Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore 117543.
Lim Teck Kwangthe ¶Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore 117543.
Cao TongFrom the ‡Oral Sciences, Faculty of Dentistry, National University of Singapore, Singapore 119083.
Fong Yee Chanthe §Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Proteos, Singapore 138673, and.
Yue Wangthe §Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Proteos, Singapore 138673, and jaya@nus.edu.sg mcbwangy@imcb.a-star.edu.sg.
Chaminda Jayampath SeneviratneFrom the ‡Oral Sciences, Faculty of Dentistry, National University of Singapore, Singapore 119083, jaya@nus.edu.sg mcbwangy@imcb.a-star.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Candida albicans is a major fungal pathogen causing lethal infections in immunocompromised patients. C. albicans forms antifungal tolerant biofilms contributing significantly to therapeutic failure. The recently established haploid C. albicans biofilm model provides a new toolbox to uncover the mechanism governing the higher antifungal tolerance of biofilms. Here, we comprehensively examined the proteomics and antifungal susceptibility of standard diploid (SC5314 and BWP17) and stable haploid (GZY792 and GZY803) strains of C. albicans biofilms. Subsequent downstream analyses identified alkyl hydroperoxide reductase 1 (AHP1) as a critical determinant of C. albicans biofilm's tolerance of amphotericin B. At 32 μg/ml of amphotericin B, GZY803 haploid biofilms showed 0.1% of persister population as compared with 1% of the diploid biofilms. AHP1 expression was found to be lower in GZY803 biofilms, and AHP1 overexpression in GZY803 restored the percentage of persister population. Consistently, deleting AHP1 in the diploid strain BWP17 caused a similar increase in amphotericin B susceptibility. AHP1 expression was also positively correlated with the antioxidant potential. Furthermore, C. albicans ira2Δ/Δ biofilms were susceptible to amphotericin B and had a diminished antioxidant capacity. Interestingly, AHP1 overexpression in the ira2Δ/Δ strain restored the antioxidant potential and enhanced the persister population against amphotericin B, and shutting down the AHP1 expression in ira2Δ/Δ biofilms reversed the effect. In conclusion, we provide evidence that the AHP1 gene critically determines the amphotericin B tolerance of C. albicans biofilms possibly by maintaining the persisters' antioxidant capacity. This finding will open up new avenues for developing therapies targeting the persister population of C. albicans biofilms. The mass spectrometry proteomics data are available via ProteomeXchange with identifier PXD004274.

Indexed as

Drug Resistance, BacterialAmphotericin BAntifungal AgentsBiofilmsCandida albicansDiploidyDown-RegulationFungal ProteinsGene Expression Regulation, FungalPeroxiredoxinsPolyploidyProteomicsAmphotericin BAntifungal AgentsFungal ProteinsPeroxiredoxins

Identifiers

PMID27644984
PMCPMC5098045

What OpenQuestion holds

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Registered trials

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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.