Evidence map›Paper›PMID 37228606›Full record

ArticleFrontiers in immunology2023

Maintained imbalance of triglycerides, apolipoproteins, energy metabolites and cytokines in long-term COVID-19 syndrome patients.

Georgy Berezhnoy, Rosi Bissinger, Anna Liu, Claire Cannet, Hartmut Schäfer, Katharina Kienzle, Michael Bitzer, Helene Häberle, Siri Göpel, Christoph Trautwein and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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  3. Blood Biomarkers of Long COVID: A Systematic Review.Molecular diagnosis & therapy · 2024
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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 4 institutions in 1 country.

Georgy BerezhnoyWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Tübingen, Germany.
Rosi BissingerDivision of Endocrinology, Diabetology and Nephrology, Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany.
Anna LiuResearch Institute of Women's Health, University of Tübingen, Tübingen, Germany.
Claire CannetBruker BioSpin, Applied Industrial and Clinical Division, Ettlingen, Germany.
Hartmut SchäferBruker BioSpin, Applied Industrial and Clinical Division, Ettlingen, Germany.
Katharina KienzleDepartment of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany.
Michael BitzerDepartment of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany.
Helene HäberleDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Tübingen, Germany.
Siri GöpelDepartment of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany.
Christoph TrautweinWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Tübingen, Germany.
Yogesh SinghResearch Institute of Women's Health, University of Tübingen, Tübingen, Germany.
University Children's Hospital Tübingen · DEUniversity of Tübingen · DEBruker (Germany) · DEBernstein Center for Computational Neuroscience Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Deep metabolomic, proteomic and immunologic phenotyping of patients suffering from an infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have matched a wide diversity of clinical symptoms with potential biomarkers for coronavirus disease 2019 (COVID-19). Several studies have described the role of small as well as complex molecules such as metabolites, cytokines, chemokines and lipoproteins during infection and in recovered patients. In fact, after an acute SARS-CoV-2 viral infection almost 10-20% of patients experience persistent symptoms post 12 weeks of recovery defined as long-term COVID-19 syndrome (LTCS) or long post-acute COVID-19 syndrome (PACS). Emerging evidence revealed that a dysregulated immune system and persisting inflammation could be one of the key drivers of LTCS. However, how these biomolecules altogether govern pathophysiology is largely underexplored. Thus, a clear understanding of how these parameters within an integrated fashion could predict the disease course would help to stratify LTCS patients from acute COVID-19 or recovered patients. This could even allow to elucidation of a potential mechanistic role of these biomolecules during the disease course. Methods: This study comprised subjects with acute COVID-19 (n=7; longitudinal), LTCS (n=33), Recov (n=12), and no history of positive testing (n=73). Results: Here, we report on an integrated analysis of serum/plasma by NMR spectroscopy and flow cytometry-based cytokines/chemokines quantification in LTCS patients. We identified that in LTCS patients lactate and pyruvate were significantly different from either healthy controls (HC) or acute COVID-19 patients. Subsequently, correlation analysis in LTCS group only among cytokines and amino acids revealed that histidine and glutamine were uniquely attributed mainly with pro-inflammatory cytokines. Of note, triglycerides and several lipoproteins (apolipoproteins Apo-A1 and A2) in LTCS patients demonstrate COVID-19-like alterations compared with HC. Interestingly, LTCS and acute COVID-19 samples were distinguished mostly by their phenylalanine, 3-hydroxybutyrate (3-HB) and glucose concentrations, illustrating an imbalanced energy metabolism. Most of the cytokines and chemokines were present at low levels in LTCS patients compared with HC except for IL-18 chemokine, which tended to be higher in LTCS patients. Conclusion: The identification of these persisting plasma metabolites, lipoprotein and inflammation alterations will help to better stratify LTCS patients from other diseases and could help to predict ongoing severity of LTCS patients.

Indexed as

COVID-19ApolipoproteinsChemokinesCytokinesHumansInflammationLipoproteinsProteomicsSARS-CoV-2SyndromeTriglyceridesApolipoproteinsChemokinesCytokinesLipoproteinsTriglyceridesinflammationin-vitro diagnosticslipoproteinslong COVID-19metabolomicsNMRPost-Acute COVID-19 syndrome (PACS)quantitative

Identifiers

PMID37228606
PMCPMC10203989
OpenAlexW4378349141

What OpenQuestion holds

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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.