Evidence map›Paper›PMID 31632362›Full record

ArticleFrontiers in microbiology2019

Different Pathways Mediate Amphotericin-Lactoferrin Drug Synergy in

Yu-Wen Lai, Chi Nam Ignatius Pang, Leona T Campbell, Sharon C A Chen, Marc R Wilkins, Dee A Carter

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. The Contribution of Human Antimicrobial Peptides to Fungi.International journal of molecular sciences · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. 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

6 authors at 3 institutions in 1 country.

Yu-Wen LaiSchool of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.
Chi Nam Ignatius PangSchool of Biotechnology and Biomolecular Sciences, The University of New South Wales, Kensington, NSW, Australia.
Leona T CampbellSchool of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.
Sharon C A ChenMarie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia.
Marc R WilkinsSchool of Biotechnology and Biomolecular Sciences, The University of New South Wales, Kensington, NSW, Australia.
Dee A CarterSchool of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.
Taronga Conservation Society Australia · AUThe University of Sydney · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal infections are an increasing cause of morbidity and mortality. Current antifungal drugs are limited in spectrum, few new drugs are in development, and resistance is an increasing issue. Drug synergy can enhance available drugs and extend their lifetime, however, few synergistic combinations are in clinical use and mechanistic data on how combinations work is lacking. The multifunctional glycoprotein lactoferrin (LF) acts synergistically with amphotericin B (AMB) in a range of fungal species. Whole LF binds and sequesters iron, and LF can also be digested enzymatically to produce cationic peptides with distinct antimicrobial functions. To understand how LF synergizes AMB, we previously undertook a transcriptomic analysis in

Indexed as

amphotericin Bcellular stress responseCryptococcus neoformansdrug synergylactoferrinRNA-SeqSaccharomyces

Identifiers

PMID31632362
PMCPMC6779777
OpenAlexW2971703389

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.