Evidence map›Paper›PMID 31937830›Full record

ArticleScientific reports2020

Transcriptional analysis identifies potential biomarkers and molecular regulators in pneumonia and COPD exacerbation.

Wilhelm Bertrams, Kathrin Griss, Maria Han, Kerstin Seidel, Andreas Klemmer, Alexandra Sittka-Stark, Stefan Hippenstiel, Norbert Suttorp, Florian Finkernagel, Jochen Wilhelm and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

24 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. MUC1 in the upper-lower airway inflammatory continuum: an endotype-centered perspective.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Review
  7. Article
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  15. Article
  16. Review
  17. Observational
  18. Development of a Blood-based Transcriptional Risk Score for Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2022
    Article
  19. Article
  20. Pneumo news · 2021
    Review
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

14 authors at 4 institutions in 1 country.

Wilhelm BertramsInstitute for Lung Research, Universities of Giessen and Marburg Lung Center, German Center for Lung Research (DZL), Marburg, Germany.
Kathrin GrissDepartment of Internal Medicine/Infectious Diseases and Respiratory Medicine, Charité - University Medicine Berlin, Berlin, Germany.
Maria HanDepartment of Internal Medicine/Infectious Diseases and Respiratory Medicine, Charité - University Medicine Berlin, Berlin, Germany.
Kerstin SeidelInstitute for Lung Research, Universities of Giessen and Marburg Lung Center, German Center for Lung Research (DZL), Marburg, Germany.
Andreas KlemmerPulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, German Center for Lung Research (DZL), Marburg, Germany.
Alexandra Sittka-StarkInstitute for Lung Research, Universities of Giessen and Marburg Lung Center, German Center for Lung Research (DZL), Marburg, Germany.
Stefan HippenstielDepartment of Internal Medicine/Infectious Diseases and Respiratory Medicine, Charité - University Medicine Berlin, Berlin, Germany.
Norbert SuttorpDepartment of Internal Medicine/Infectious Diseases and Respiratory Medicine, Charité - University Medicine Berlin, Berlin, Germany.
Florian FinkernagelInstitute of Molecular Biology and Tumor Research (IMT), Genomics Core Facility, Philipps-University of Marburg, Marburg, Germany.ORCID http://orcid.org/0000-0002-1141-7499
Jochen WilhelmJustus-Liebig-University, Universities Giessen & Marburg Lung Center, German Center for Lung Research (DZL), Giessen, Germany.
Timm GreulichPulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, German Center for Lung Research (DZL), Marburg, Germany.
Claus F VogelmeierPulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, German Center for Lung Research (DZL), Marburg, Germany.
Julio VeraLaboratory of Systems Tumor Immunology, Department of Dermatology, Universitätsklinikum Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-3076-5122
Bernd SchmeckInstitute for Lung Research, Universities of Giessen and Marburg Lung Center, German Center for Lung Research (DZL), Marburg, Germany. bernd.schmeck@uni-marburg.de.ORCID http://orcid.org/0000-0002-2767-3606
German Center for Lung Research · DECharité - Universitätsmedizin Berlin · DEPhilipps University of Marburg · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower respiratory infections, such as community-acquired pneumonia (CAP), and chronic obstructive pulmonary disease (COPD) rank among the most frequent causes of death worldwide. Improved diagnostics and profound pathophysiological insights are urgent clinical needs. In our cohort, we analysed transcriptional networks of peripheral blood mononuclear cells (PBMCs) to identify central regulators and potential biomarkers. We investigated the mRNA- and miRNA-transcriptome of PBMCs of healthy subjects and patients suffering from CAP or AECOPD by microarray and Taqman Low Density Array. Genes that correlated with PBMC composition were eliminated, and remaining differentially expressed genes were grouped into modules. One selected module (120 genes) was particularly suitable to discriminate AECOPD and CAP and most notably contained a subset of five biologically relevant mRNAs that differentiated between CAP and AECOPD with an AUC of 86.1%. Likewise, we identified several microRNAs, e.g. miR-545-3p and miR-519c-3p, which separated AECOPD and CAP. We furthermore retrieved an integrated network of differentially regulated mRNAs and microRNAs and identified HNF4A, MCC and MUC1 as central network regulators or most important discriminatory markers. In summary, transcriptional analysis retrieved potential biomarkers and central molecular features of CAP and AECOPD.

Indexed as

Gene Expression ProfilingTranscription, GeneticBiomarkersCommunity-Acquired InfectionsComputational BiologyFemaleHumansMaleMicroRNAsPneumoniaPulmonary Disease, Chronic ObstructiveTissue DonorsBiomarkersMicroRNAs

Identifiers

PMID31937830
PMCPMC6959367
OpenAlexW2999202766

What OpenQuestion 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 OpenQuestion graph.