Evidence map›Paper›PMID 41474355›Full record

ArticleACS infectious diseases2026

Synergistic Effect of 5-Fluorouracil and Amphotericin B in Murine Paracoccidioidomycosis: Immune Modulation and Enhanced Fungal Clearance.

Filipe N Franco, Ana Claudia S Dos Santos, Bianca V Dos Santos, Nycolas W Preite, Coral Molist-Homs, Luiz Fernando F de Oliveira, Bruno M Borges, Flavio V Loures

Abstract read
In one paragraph

Article in ACS infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Filipe N FrancoInstitute of Science and Technology, Federal University of São Paulo, São José dos Campos, CEP 12231-280, Brazil.ORCID 0000-0003-4766-0607
Ana Claudia S Dos SantosInstitute of Science and Technology, Federal University of São Paulo, São José dos Campos, CEP 12231-280, Brazil.
Bianca V Dos SantosInstitute of Science and Technology, Federal University of São Paulo, São José dos Campos, CEP 12231-280, Brazil.
Nycolas W PreiteInstitute of Science and Technology, Federal University of São Paulo, São José dos Campos, CEP 12231-280, Brazil.
Coral Molist-HomsInstitute of Science and Technology, Federal University of São Paulo, São José dos Campos, CEP 12231-280, Brazil.
Luiz Fernando F de OliveiraInstitute of Science and Technology, Federal University of São Paulo, São José dos Campos, CEP 12231-280, Brazil.
Bruno M BorgesInstitute of Science and Technology, Federal University of São Paulo, São José dos Campos, CEP 12231-280, Brazil.
Flavio V LouresInstitute of Science and Technology, Federal University of São Paulo, São José dos Campos, CEP 12231-280, Brazil.ORCID 0000-0001-7711-4063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paracoccidioidomycosis (PCM) is a systemic fungal infection that primarily affects the lungs. Previous studies have shown that 5-fluorouracil (5-FU), a chemotherapeutic agent, reduces pulmonary myeloid-derived suppressor cells (MDSCs), thereby stimulating immune responses in PCM. This study aimed to evaluate the efficacy of the combined 5-FU and AmB therapy in a murine model of PCM. C57BL/6 mice were infected with

Indexed as

Amphotericin BAntifungal AgentsFluorouracilParacoccidioidesParacoccidioidomycosisAnimalsDisease Models, AnimalDrug SynergismDrug Therapy, CombinationFemaleLungMiceMice, Inbred C57BLAmphotericin BAntifungal AgentsFluorouracil5-fluorouracilamphotericinimmunologyinfectious diseasesP. brasiliensis

Identifiers

PMID41474355
PMCPMC12910580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.