Evidence map›Paper›PMID 36355140›Full record

ArticleMetabolites2022

Plasma Metabolome Alterations Discriminate between COVID-19 and Non-COVID-19 Pneumonia.

Tushar H More, Bahareh Mozafari, Andre Märtens, Christian Herr, Philipp M Lepper, Guy Danziger, Thomas Volk, Sabrina Hoersch, Marcin Krawczyk, Katharina Guenther and 2 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
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

12 authors at 3 institutions in 1 country.

Tushar H MoreDepartment of Bioinformatics and Biochemistry, Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, 38106 Braunschweig, Germany.
Bahareh MozafariDepartment of Internal Medicine V-Pulmonology, Allergology and Critical Care Medicine, Saarland University, 66421 Homburg, Germany.
Andre MärtensDepartment of Bioinformatics and Biochemistry, Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, 38106 Braunschweig, Germany.ORCID 0000-0002-8243-3285
Christian HerrDepartment of Internal Medicine V-Pulmonology, Allergology and Critical Care Medicine, Saarland University, 66421 Homburg, Germany.
Philipp M LepperDepartment of Internal Medicine V-Pulmonology, Allergology and Critical Care Medicine, Saarland University, 66421 Homburg, Germany.ORCID 0000-0003-3620-0912
Guy DanzigerDepartment of Internal Medicine V-Pulmonology, Allergology and Critical Care Medicine, Saarland University, 66421 Homburg, Germany.
Thomas VolkDepartment of Anesthesiology, Intensive Care Medicine and Pain Therapy, Saarland University, 66421 Homburg, Germany.ORCID 0000-0001-5175-7159
Sabrina HoerschDepartment of Anesthesiology, Intensive Care Medicine and Pain Therapy, Saarland University, 66421 Homburg, Germany.
Marcin KrawczykDepartment of Internal Medicine II-Gastroenterology, Saarland University, 66421 Homburg, Germany.ORCID 0000-0002-0113-0777
Katharina GuentherDepartment of Internal Medicine V-Pulmonology, Allergology and Critical Care Medicine, Saarland University, 66421 Homburg, Germany.
Karsten HillerDepartment of Bioinformatics and Biochemistry, Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, 38106 Braunschweig, Germany.
Robert BalsDepartment of Internal Medicine V-Pulmonology, Allergology and Critical Care Medicine, Saarland University, 66421 Homburg, Germany.
Saarland University · DETechnische Universität Braunschweig · DEHelmholtz Centre for Infection Research · DE

Funding

Deutsche Forschungsgemeinschaft HI1400/3-1DFG-sonderforschungsbereiche (SFB) SFB-1454 (432325352Dr. Rolf M. Schwiete Stiftung 2020-013Volkswagen Foundation 11-76251-19-4/19 (ZN3429)
6 · The paper itself

Abstract

Pneumonia is a common cause of morbidity and mortality and is most often caused by bacterial pathogens. COVID-19 is characterized by lung infection with potential progressive organ failure. The systemic consequences of both disease on the systemic blood metabolome are not fully understood. The aim of this study was to compare the blood metabolome of both diseases and we hypothesize that plasma metabolomics may help to identify the systemic effects of these diseases. Therefore, we profiled the plasma metabolome of 43 cases of COVID-19 pneumonia, 23 cases of non-COVID-19 pneumonia, and 26 controls using a non-targeted approach. Metabolic alterations differentiating the three groups were detected, with specific metabolic changes distinguishing the two types of pneumonia groups. A comparison of venous and arterial blood plasma samples from the same subjects revealed the distinct metabolic effects of pulmonary pneumonia. In addition, a machine learning signature of four metabolites was predictive of the disease outcome of COVID-19 subjects with an area under the curve (AUC) of 86 ± 10 %. Overall, the results of this study uncover systemic metabolic changes that could be linked to the etiology of COVID-19 pneumonia and non-COVID-19 pneumonia.

Indexed as

community-acquired pneumoniaCOVID-19machine learningmass spectrometrymetabolic profilingmetabolomicsmultivariate statisticsnon-COVID-19 pneumoniaplasmasystem biology

Identifiers

PMID36355140
PMCPMC9693035
OpenAlexW4308768684

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.