Evidence map›Paper›PMID 38407673›Full record

ArticleMycopathologia2024

Circulatory Inflammatory Proteins as Early Diagnostic Biomarkers for Invasive Aspergillosis in Patients with Hematologic Malignancies-an Exploratory Study.

Robina Aerts, Isis Ricaño-Ponce, Mariolina Bruno, Toine Mercier, Diletta Rosati, Johan Maertens, Vinod Kumar, Agostinho Carvalho, Mihai G Netea, Martin Hoenigl and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Mycopathologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 11 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

11 authors at 5 institutions in 5 countries.

Robina Aerts *Department of Hematology, University Hospitals Leuven, Leuven, Belgium. robina.aerts@kuleuven.be.ORCID http://orcid.org/0000-0001-6337-6636
Isis Ricaño-Ponce *Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands.
Mariolina Bruno *Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands.
Toine MercierDepartment of Hematology, University Hospitals Leuven, Leuven, Belgium.
Diletta RosatiDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands.
Johan MaertensDepartment of Hematology, University Hospitals Leuven, Leuven, Belgium.
Vinod KumarDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands.
Agostinho CarvalhoLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057, Braga, Portugal.
Mihai G Netea *Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands.
Martin Hoenigl *Biotech Med, Graz, Austria. hoeniglmartin@gmail.com.
ECMM Immunologic Markers for Treatment Monitoring and Diagnosis in Invasive Mold Infection Working Group Contributors
Radboud University Nijmegen · NLKU Leuven · BEMedical University of Graz · ATUniversity of Bonn · DEUniversity of Minho · PT

Funding

Gilead Sciences IN-EU-131-5720
6 · The paper itself

Abstract

objectivesInvasive aspergillosis (IA) is a major cause of mortality in immunocompromised patients and it is difficult to diagnose because of the lack of reliable highly sensitive diagnostics. We aimed to identify circulating immunological markers that could be useful for an early diagnosis of IA.

methodsWe collected longitudinally serum samples from 33 cases with probable/proven IA and two matched control cohorts without IA (one with microbiological and clinical evidence of bacterial or viral non-fungal pneumonia and one without evidence of infection, all matched for neutropenia, primary underlying disease, and receipt of corticosteroids/other immunosuppressants) at a tertiary university hospital. In addition, samples from an independent cohort (n = 20 cases of proven/probable IA and 20 matched controls without infection) were obtained. A panel of 92 circulating proteins involved in inflammation was measured by proximity extension assay. A random forest model was used to predict the development of IA using biomarkers measured before diagnosis.

resultsWhile no significant differences were observed between IA cases and infected controls, concentrations of 30 inflammatory biomarkers were different between cases and non-infected controls, of which nine were independently replicated: PD-L1, MMP-10, Interleukin(IL)-10, IL-15RA, IL-18, IL-18R1, CDCP1, CCL19 and IL-17C. From the differential abundance analysis of serum samples collected more than 10 days before diagnosis and at diagnosis, increased IL-17C concentrations in IA patients were replicated in the independent cohort.

conclusionsAn increased circulating concentration of IL-17C was detected both in the discovery and independent cohort, both at the time of diagnosis and in samples 10 days before the diagnosis of IA, suggesting it should be evaluated further as potential (early) biomarker of infection.

Indexed as

AspergillosisHematologic NeoplasmsAntigens, NeoplasmBiological AssayCell Adhesion MoleculesHospitals, UniversityHumansInterleukin-17Antigens, NeoplasmCDCP1 protein, humanCell Adhesion MoleculesInterleukin-17AspergillosisBiomarkersIL-17Invasive fungal infectionsOpportunistic infectionsProteomics

Identifiers

PMID38407673
PMCPMC10896822
OpenAlexW4392163831

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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.