Evidence map›Paper›PMID 34645905›Full record

ArticleScientific reports2021

The network interplay of interferon and Toll-like receptor signaling pathways in the anti-Candida immune response.

Ranieri Coelho Salgado, Dennyson Leandro M Fonseca, Alexandre H C Marques, Sarah Maria da Silva Napoleao, Tábata Takahashi França, Karen Tiemi Akashi, Caroline Aliane de Souza Prado, Gabriela Crispim Baiocchi, Desirée Rodrigues Plaça, Gabriel Jansen-Marques and 11 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  7. Current medical mycology · 2024
    Review
  8. iScience · 2023
    Review
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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

21 authors at 4 institutions in 4 countries.

Ranieri Coelho SalgadoDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil. ranierics@usp.br.
Dennyson Leandro M FonsecaDepartment of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
Alexandre H C MarquesDepartment of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
Sarah Maria da Silva NapoleaoDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Tábata Takahashi FrançaDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Karen Tiemi AkashiDepartment of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
Caroline Aliane de Souza PradoDepartment of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
Gabriela Crispim BaiocchiDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Desirée Rodrigues PlaçaDepartment of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
Gabriel Jansen-MarquesInformation Systems, School of Arts, Sciences and Humanities, University of Sao Paulo, São Paulo, Brazil.
Igor Salerno FilgueirasDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Roberta De VitoDepartment of Biostatistics and the Data Science Initiative at, Brown University, Providence, RI, USA.
Paula Paccielli FreireDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Gustavo Cabral de MirandaDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Niels Olsen Saraiva CamaraDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Vera Lúcia Garcia CalichDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Hans D OchsDepartment of Pediatrics, University of Washington School of Medicine, and Seattle Children's Research Institute, Seattle, WA, USA.
Lena F SchimkeDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Igor JurisicaOsteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN; Data Science Discovery Centre, Krembil Research Institute, UHN; Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, Canada.
Antonio Condino-NetoDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Otavio Cabral-MarquesDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil. otavio.cmarques@usp.br.
Universidade de São Paulo · BRArthritis Foundation · USBrown University · USSeattle Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal infections represent a major global health problem affecting over a billion people that kills more than 1.5 million annually. In this study, we employed an integrative approach to reveal the landscape of the human immune responses to Candida spp. through meta-analysis of microarray, bulk, and single-cell RNA sequencing (scRNA-seq) data for the blood transcriptome. We identified across these different studies a consistent interconnected network interplay of signaling molecules involved in both Toll-like receptor (TLR) and interferon (IFN) signaling cascades that is activated in response to different Candida species (C. albicans, C. auris, C. glabrata, C. parapsilosis, and C. tropicalis). Among these molecules are several types I IFN, indicating an overlap with antiviral immune responses. scRNA-seq data confirmed that genes commonly identified by the three transcriptomic methods show cell type-specific expression patterns in various innate and adaptive immune cells. These findings shed new light on the anti-Candida immune response, providing putative molecular pathways for therapeutic intervention.

Indexed as

Antiviral AgentsCandida albicansCandida glabrataCandida parapsilosisCandidiasisComputational BiologyDatabases, GeneticGene Expression ProfilingGene Expression Regulation, FungalHumansImmunityImmunity, InnateInterferonsRNA-SeqSignal TransductionTranscription, GeneticAntiviral AgentsInterferons

Identifiers

PMID34645905
PMCPMC8514550
OpenAlexW3160042726

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.