Evidence map›Paper›PMID 41941863›Full record

ArticleGenetics and molecular biology2026

The dual role of sertraline: From antidepressant to antifungal drug with broad metabolic disruption.

Mayara I G Azevedo, Maria J Santos-Saboya, João Neves-da-Rocha, Monise F Petrucelli, Nilce M Martinez-Rossi, Antonio Rossi

Abstract read
In one paragraph

Article in Genetics and molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mayara I G AzevedoUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Genética, Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0002-1894-6932
Maria J Santos-SaboyaUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Genética, Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0001-6190-6330
João Neves-da-RochaUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Genética, Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0002-1779-9010
Monise F PetrucelliUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Genética, Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0001-7136-3990
Nilce M Martinez-RossiUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Genética, Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0002-5723-4276
Antonio RossiUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Genética, Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0003-1951-4741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sertraline, a selective serotonin reuptake inhibitor, is a widely used antidepressant. In recent decades, research has revealed its potential for drug repurposing, demonstrating various biological activities beyond psychiatric applications, including antifungal, antibacterial, antitumor, anthelmintic, and leishmanicidal effects. This review explores the antifungal potential of sertraline and its possible mechanisms of action against fungal cells, highlighting similarities with its effects in higher eukaryotes. We examine the effects of sertraline on (1) gene expression pathways, (2) lipid and carbohydrate metabolism, (3) membrane function, (4) stress response, and (5) alternative splicing modulation. Finally, we discuss future perspectives on the use of sertraline as an antifungal agent.

Identifiers

PMID41941863
PMCPMC13063107

What Socratic 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 Socratic graph.