Evidence map›Paper›PMID 41639638›Full record

ArticleBMC infectious diseases2026

In vitro activity of eight antifungal drugs against clinical and hospital isolates of Candida parapsilosis complex; a multicenter study, 2023-2024.

Azam Moslemi, Maryam Salimi, Mahdi Abastabar, Reza Valadan, Maryam Moazeni, Mohammad Taghi Hedayati, Seyed Reza Aghili, Leila Faeli, Zoha Asgari, Iman Haghani and 4 more

Abstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Azam MoslemiStudent Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Maryam SalimiStudent Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Mahdi AbastabarInvasive Fungi Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, 48471- 91971, Iran.
Reza ValadanMolecular and Cell Biology Research Center (MCBRC), Mazandaran University of Medical Sciences, Sari, Iran.
Maryam MoazeniInvasive Fungi Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, 48471- 91971, Iran.
Mohammad Taghi HedayatiInvasive Fungi Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, 48471- 91971, Iran.
Seyed Reza AghiliInvasive Fungi Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, 48471- 91971, Iran.
Leila FaeliStudent Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Zoha AsgariDepartment of Medical Sciences, Islamic Azad University Sari Branch, Sari, Iran.
Iman HaghaniInvasive Fungi Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, 48471- 91971, Iran.
Hossein ZarrinfarAllergy Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Sabah MayahiDepartment of Medical Mycology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Tahereh ShokohiInvasive Fungi Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, 48471- 91971, Iran. shokohi.tahereh@gmail.com.
Hamid BadaliDepartment of Molecular Microbiology & Immunology, South Texas Center for Emerging Infectious Diseases, The University of Texas at San Antonio, San Antonio, TX, USA. hamid.badali@utsa.edu.

Funding

Mazandaran University of Medical Sciences, Sari, Iran 17967
6 · The paper itself

Abstract

backgroundCandida parapsilosis complex is an emerging opportunistic pathogen associated with bloodstream infections and healthcare‑associated outbreaks, particularly in intensive care units. Rising antifungal resistance underscores the need for continuous surveillance. This multicenter study assessed the in vitro susceptibility of eight antifungal agents against clinical, environmental, and healthcare worker isolates of the C. parapsilosis complex and investigated potential molecular mechanisms of resistance.

methodsA total of 2,600 samples were collected between May 2023 and December 2024, including 2,180 clinical specimens, 330 environmental samples, and 90 hand swabs from healthcare workers. From these, 527 C. parapsilosis isolates were recovered. Identification was performed using conventional and molecular approaches. Antifungal susceptibility testing followed CLSI M27 (4th edition) guidelines. Isolates exhibiting resistance were further analyzed by sequencing the ERG11 and FKS1 genes.

resultsAmong the 527 isolates, 510 originated from clinical settings, 6 from reusable breast pump sets, and 11 from healthcare worker hands. Overall, 10 isolates (1.9%) demonstrated resistance according to CLSI breakpoints, all of which were clinical in origin. Resistance was detected to fluconazole (0.38%), caspofungin (0.95%), and combined caspofungin-anidulafungin resistance (0.57%). The MIC values for fluconazole and caspofunginwere 4 µg/mL, indicating reduced susceptibility among clinical isolates. Voriconazole, clotrimazole, and amphotericin B exhibited strong in vitro activity. No resistance‑associatedmutations were identified in ERG11 or FKS1.

conclusionsDespite the absence of detectable ERG11 or FKS1 mutations, reduced susceptibility to azoles and echinocandins was observed, primarily among clinical isolates. Environmental and healthcare worker isolates showed lower MIC values, suggesting minimal antifungal selection pressure outside patient care environments. These findings point to emerging antifungal resistance in C. parapsilosis clinical isolates in Iran and emphasize the importance of ongoing surveillance and molecular monitoring to inform therapeutic and infection control strategies. However more studies are required to correlate these findings with clinical outcomes.

Indexed as

Antifungal AgentsCandida parapsilosisCandidiasisCross InfectionDrug Resistance, FungalFungal ProteinsHospitalsHumansMicrobial Sensitivity TestsAntifungal AgentsFungal ProteinsAntifungal resistanceCandida parapsilosisERG11FKS1Nosocomial infections

Identifiers

PMID41639638
PMCPMC12958749

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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.