Evidence map›Paper›PMID 33028931›Full record

ArticleScientific reports2020

Metabolic profiling of Candida clinical isolates of different species and infection sources.

Josidel Conceição Oliver, Luca Laghi, Carola Parolin, Claudio Foschi, Antonella Marangoni, Andrea Liberatore, Amanda Latercia Tranches Dias, Monica Cricca, Beatrice Vitali

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. 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
3.8field-weighted citation impact, top 7% 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, 33 citations in OpenAlex.

  1. Article
  2. Exometabolome variation in the fungal pathogen of humansApplied and environmental microbiology · 2026
    Article
  3. Network Pharmacology-Guided Identification ofInternational journal of molecular sciences · 2026
    Article
  4. Article
  5. Review
  6. Shared metabolism between a bacterial and fungal species that reside in the human gut.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Deciphering cargo contents in extracellular vesicles ofComputational and structural biotechnology journal · 2025
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. VaginalMicroorganisms · 2022
    Article
  16. Raman Metabolomics ofInternational journal of molecular sciences · 2022
    Article
  17. Metabolic Plasticity ofJournal of fungi (Basel, Switzerland) · 2022
    Article
  18. Article
  19. Article
  20. Molecular investigations onRSC advances · 2022
    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

9 authors at 2 institutions in 2 countries.

Josidel Conceição Oliver *Department of Pharmacy and Biotechnology, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Luca Laghi *Centre of Foodomics, Department of Agro-Food Science and Technology, Alma Mater Studiorum, University of Bologna, Cesena, Italy.
Carola ParolinDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Claudio FoschiMicrobiology, DIMES, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Antonella MarangoniMicrobiology, DIMES, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Andrea LiberatoreMicrobiology, DIMES, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Amanda Latercia Tranches DiasDepartment of Microbiology and Immunology, Federal University of Alfenas, Minas Gerais, Brazil.
Monica CriccaMicrobiology, DIMES, Alma Mater Studiorum, University of Bologna, Bologna, Italy. monica.cricca3@unibo.it.
Beatrice VitaliDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
University of Bologna · ITUniversidade Federal de Alfenas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Candida species are the most common cause of opportunistic fungal infections. Rapid identification and novel approaches for the characterization of these fungi are of great interest to improve the diagnosis and the knowledge about their pathogenic properties. This study aimed to characterize clinical isolates of Candida spp. by proteomics (MALDI-TOF MS) and metabolomics (

Indexed as

MetabolomeCandidaCandidiasisHumansMetabolomics

Identifiers

PMID33028931
PMCPMC7541501
OpenAlexW3091862429

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.