Evidence map›Paper›PMID 28727728›Full record

ArticlePloS one2017

An integrative genomics approach identifies novel pathways that influence candidaemia susceptibility.

Vasiliki Matzaraki, Mark S Gresnigt, Martin Jaeger, Isis Ricaño-Ponce, Melissa D Johnson, Marije Oosting, Lude Franke, Sebo Withoff, John R Perfect, Leo A B Joosten and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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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

17 authors at 3 institutions in 4 countries.

Vasiliki MatzarakiDepartment of Genetics, University Medical Center Groningen, Groningen, The Netherlands.
Mark S GresnigtDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.
Martin JaegerDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.
Isis Ricaño-PonceDepartment of Genetics, University Medical Center Groningen, Groningen, The Netherlands.
Melissa D JohnsonDuke University Medical Center, Durham, North Carolina, United States of America.
Marije OostingDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.
Lude FrankeDepartment of Genetics, University Medical Center Groningen, Groningen, The Netherlands.
Sebo WithoffDepartment of Genetics, University Medical Center Groningen, Groningen, The Netherlands.
John R PerfectDuke University Medical Center, Durham, North Carolina, United States of America.
Leo A B JoostenDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.
Bart Jan KullbergDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.
Frank L van de VeerdonkDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.
Iris JonkersDepartment of Genetics, University Medical Center Groningen, Groningen, The Netherlands.ORCID http://orcid.org/0000-0003-2304-7939
Yang LiDepartment of Genetics, University Medical Center Groningen, Groningen, The Netherlands.
Cisca WijmengaDepartment of Genetics, University Medical Center Groningen, Groningen, The Netherlands.
Mihai G NeteaDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.
Vinod KumarDepartment of Genetics, University Medical Center Groningen, Groningen, The Netherlands.
University Medical Center Groningen · NLRadboud University Nijmegen · NLDuke Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Candidaemia is a bloodstream infection caused by Candida species that primarily affects specific groups of at-risk patients. Because only small candidaemia patient cohorts are available, classical genome wide association cannot be used to identify Candida susceptibility genes. Therefore, we have applied an integrative genomics approach to identify novel susceptibility genes and pathways for candidaemia. Candida-induced transcriptome changes in human primary leukocytes were assessed by RNA sequencing. Genetic susceptibility to candidaemia was assessed using the Illumina immunochip platform for genotyping of a cohort of 217 patients. We then integrated genetics data with gene-expression profiles, Candida-induced cytokine production capacity, and circulating concentrations of cytokines. Based on the intersection of transcriptome pathways and genomic data, we prioritized 31 candidate genes for candidaemia susceptibility. This group of genes was enriched with genes involved in inflammation, innate immunity, complement, and hemostasis. We then validated the role of MAP3K8 in cytokine regulation in response to Candida stimulation. Here, we present a new framework for the identification of susceptibility genes for infectious diseases that uses an unbiased, hypothesis-free, systems genetics approach. By applying this approach to candidaemia, we identified novel susceptibility genes and pathways for candidaemia, and future studies should assess their potential as therapeutic targets.

Indexed as

Genetic Predisposition to DiseaseGenotypeTranscriptomeCandidemiaFemaleGene Expression ProfilingHumansMaleSequence Analysis, RNA

Identifiers

PMID28727728
PMCPMC5519064
OpenAlexW2738937083

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.