Evidence map›Paper›PMID 34708437›Full record

ArticleNMR in biomedicine2022

Uneven metabolic and lipidomic profiles in recovered COVID-19 patients as investigated by plasma NMR metabolomics.

Maider Bizkarguenaga, Chiara Bruzzone, Rubén Gil-Redondo, Itxaso SanJuan, Itziar Martin-Ruiz, Diego Barriales, Ainhoa Palacios, Samuel T Pasco, Beatriz González-Valle, Ana Laín and 8 more

Abstract read
In one paragraph

Article in NMR in biomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–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.

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

34 citing papers in PubMed.

  1. Article
  2. Recent Trends in Metabolomics by NMR Spectroscopy.Angewandte Chemie (International ed. in English) · 2026
    Review
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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

18 authors.

Maider BizkarguenagaPrecision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Chiara BruzzonePrecision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Rubén Gil-RedondoPrecision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Itxaso SanJuanPrecision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Itziar Martin-RuizInflammation and Macrophage Plasticity Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Diego BarrialesInflammation and Macrophage Plasticity Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Ainhoa PalaciosInflammation and Macrophage Plasticity Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Samuel T PascoInflammation and Macrophage Plasticity Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Beatriz González-VallePrecision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Ana LaínPrecision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Lara HerreraResearch Unit, Basque Center for Blood Transfusion and Human Tissues, Osakidetza, Galdakao, Spain.
Aida AzkarateResearch Unit, Basque Center for Blood Transfusion and Human Tissues, Osakidetza, Galdakao, Spain.
Miguel Angel VesgaResearch Unit, Basque Center for Blood Transfusion and Human Tissues, Osakidetza, Galdakao, Spain.
Cristina EguizabalResearch Unit, Basque Center for Blood Transfusion and Human Tissues, Osakidetza, Galdakao, Spain.
Juan AnguitaInflammation and Macrophage Plasticity Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Nieves EmbadePrecision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
José M MatoPrecision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.
Oscar MilletPrecision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance, Derio, Spain.

Funding

Impaired VLDL secretion, progression and reversal of hepatic fibrogenesisR01DK119437 · NIDDK · WASHINGTON UNIVERSITY · PI Nicholas O. Davidson · 2019 to 2026
$3.8M
NIDDK NIH HHS R01 DK119437
6 · The paper itself

Abstract

COVID-19 is a systemic infectious disease that may affect many organs, accompanied by a measurable metabolic dysregulation. The disease is also associated with significant mortality, particularly among the elderly, patients with comorbidities, and solid organ transplant recipients. Yet, the largest segment of the patient population is asymptomatic, and most other patients develop mild to moderate symptoms after SARS-CoV-2 infection. Here, we have used NMR metabolomics to characterize plasma samples from a cohort of the abovementioned group of COVID-19 patients (n = 69), between 3 and 10 months after diagnosis, and compared them with a set of reference samples from individuals never infected by the virus (n = 71). Our results indicate that half of the patient population show abnormal metabolism including porphyrin levels and altered lipoprotein profiles six months after the infection, while the other half show little molecular record of the disease. Remarkably, most of these patients are asymptomatic or mild COVID-19 patients, and we hypothesize that this is due to a metabolic reflection of the immune response stress.

Indexed as

LipidomicsMetabolomicsSARS-CoV-2Cholesterol, HDLCholesterol, LDLCOVID-19HumansMagnetic Resonance SpectroscopyCholesterol, HDLCholesterol, LDLasymptomatic infectionCOVID-19metabolic dysregulationNMR metabolomicspandemicphenoreversionplasma analysisSARS-CoV-2

Identifiers

PMID34708437
PMCPMC8646702

What OpenQuestion holds

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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.