Evidence map›Paper›PMID 34476621›Full record

ArticleIntensive care medicine experimental2021

Progranulin signaling in sepsis, community-acquired bacterial pneumonia and COVID-19: a comparative, observational study.

Florian Brandes, Melanie Borrmann, Dominik Buschmann, Agnes S Meidert, Marlene Reithmair, Markus Langkamp, Lutz Pridzun, Benedikt Kirchner, Jean-Noël Billaud, Nirav M Amin and 11 more

Registry-linked trialAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03280576 (Sensitivity and Specificity of Progranulin as a Biomarker for Sepsis), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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.

NCT03280576 completednot on this map

Sensitivity and Specificity of Progranulin as a Biomarker for Sepsis

TypeobservationalSponsorLudwig-Maximilians - University of MunichRan2015 to 2019Enrolled556ConditionsSepsis
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Florian Brandes *Department of Anaesthesiology, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany. florian.brandes@med.uni-muenchen.de.ORCID http://orcid.org/0000-0003-3741-287X
Melanie Borrmann *Department of Anaesthesiology, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-0741-616X
Dominik BuschmannDepartment of Anaesthesiology, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0003-0460-6459
Agnes S MeidertDepartment of Anaesthesiology, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-5212-9071
Marlene ReithmairInstitute of Human Genetics, University Hospital, Ludwig-Maximilians-University, Munich, Germany.ORCID http://orcid.org/0000-0002-9113-9643
Markus LangkampMEDIAGNOST Company, Aspenhausstr. 25, 72770, Reutlingen, Germany.
Lutz PridzunMEDIAGNOST Company, Aspenhausstr. 25, 72770, Reutlingen, Germany.
Benedikt KirchnerDivision of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0003-3878-0148
Jean-Noël BillaudQIAGEN Digital Insights, Redwood City, USA.
Nirav M AminQIAGEN Digital Insights, Redwood City, USA.
Joseph C PearsonQIAGEN Digital Insights, Redwood City, USA.
Matthias KleinDepartment of Neurology, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-9064-6865
Daniela HauerDepartment of Anaesthesiology, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Clarissa Gevargez ZoubalanDepartment of Anaesthesiology, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Anja LindemannInstitute of Human Genetics, University Hospital, Ludwig-Maximilians-University, Munich, Germany.
Alexander ChoukérDepartment of Anaesthesiology, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-0133-4104
Thomas W FelbingerDepartment of Anaesthesiology, Neuperlach Hospital, City Hospitals of Munich, Munich, Germany.
Ortrud K SteinleinInstitute of Human Genetics, University Hospital, Ludwig-Maximilians-University, Munich, Germany.ORCID http://orcid.org/0000-0003-4311-6276
Michael W PfafflDivision of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-3192-1019
Ines KaufmannDepartment of Anaesthesiology, Neuperlach Hospital, City Hospitals of Munich, Munich, Germany.ORCID http://orcid.org/0000-0003-3556-0713
Gustav SchellingDepartment of Anaesthesiology, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-6538-0652

Funding

Bundesministerium für Wirtschaft und Energie KF2664503CS1
6 · The paper itself

Abstract

backgroundProgranulin is a widely expressed pleiotropic growth factor with a central regulatory effect during the early immune response in sepsis. Progranulin signaling has not been systematically studied and compared between sepsis, community-acquired pneumonia (CAP), COVID-19 pneumonia and a sterile systemic inflammatory response (SIRS). We delineated molecular networks of progranulin signaling by next-generation sequencing (NGS), determined progranulin plasma concentrations and quantified the diagnostic performance of progranulin to differentiate between the above-mentioned disorders using the established biomarkers procalcitonin (PCT), interleukin-6 (IL-6) and C-reactive protein (CRP) for comparison.

methodsThe diagnostic performance of progranulin was operationalized by calculating AUC and ROC statistics for progranulin and established biomarkers in 241 patients with sepsis, 182 patients with SIRS, 53 patients with CAP, 22 patients with COVID-19 pneumonia and 53 healthy volunteers. miRNAs and mRNAs in blood cells from sepsis patients (n = 7) were characterized by NGS and validated by RT-qPCR in an independent cohort (n = 39) to identify canonical gene networks associated with upregulated progranulin at sepsis onset.

resultsPlasma concentrations of progranulin (ELISA) in patients with sepsis were 57.5 (42.8-84.9, Q25-Q75) ng/ml and significantly higher than in CAP (38.0, 33.5-41.0 ng/ml, p < 0.001), SIRS (29.0, 25.0-35.0 ng/ml, p < 0.001) and the healthy state (28.7, 25.5-31.7 ng/ml, p < 0.001). Patients with COVID-19 had significantly higher progranulin concentrations than patients with CAP (67.6, 56.6-96.0 vs. 38.0, 33.5-41.0 ng/ml, p < 0.001). The diagnostic performance of progranulin for the differentiation between sepsis vs. SIRS (n = 423) was comparable to that of procalcitonin. AUC was 0.90 (95% CI = 0.87-0.93) for progranulin and 0.92 (CI = 0.88-0.96, p = 0.323) for procalcitonin. Progranulin showed high discriminative power to differentiate bacterial CAP from COVID-19 (sensitivity 0.91, specificity 0.94, AUC 0.91 (CI = 0.8-1.0) and performed significantly better than PCT, IL-6 and CRP. NGS and partial RT-qPCR confirmation revealed a transcriptomic network of immune cells with upregulated progranulin and sortilin transcripts as well as toll-like-receptor 4 and tumor-protein 53, regulated by miR-16 and others.

conclusionsProgranulin signaling is elevated during the early antimicrobial response in sepsis and differs significantly between sepsis, CAP, COVID-19 and SIRS. This suggests that progranulin may serve as a novel indicator for the differentiation between these disorders.

trial registrationClinicaltrials.gov registration number NCT03280576 Registered November 19, 2015.

Indexed as

COVID-19Gene networksPneumoniaProcalcitoninProgranulinSensitivitySepsisSpecificity

Identifiers

PMID34476621
PMCPMC8412980

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Registered trials

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.