Evidence map›Paper›PMID 37528111›Full record

ArticleScientific reports2023

The plasma metabolome of long COVID patients two years after infection.

Yamilé López-Hernández, Joel Monárrez-Espino, David Alejandro García López, Jiamin Zheng, Juan Carlos Borrego, Claudia Torres-Calzada, José Pedro Elizalde-Díaz, Rupasri Mandal, Mark Berjanskii, Eduardo Martínez-Martínez and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 4 pooled it
19.1field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 4 syntheses or guidelines pooled it, 91 citations in OpenAlex.

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  14. Erythrocytes as Active Regulators of Blood Flow: A Brief Overview.Advances in experimental medicine and biology · 2026
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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

12 authors at 6 institutions in 3 countries.

Yamilé López-HernándezCONAHCyT-Metabolomics and Proteomics Laboratory, Academic Unit of Biological Sciences, Autonomous University of Zacatecas, 98000, Zacatecas, Mexico. ylopezher@conacyt.mx.
Joel Monárrez-EspinoDepartment of Health Research, Christus Muguerza del Parque Hospital - University of Monterrey, 31125, Chihuahua, Mexico.
David Alejandro García LópezAcademic Unit of Biological Sciences, Autonomous University of Zacatecas, 98000, Zacatecas, Mexico.
Jiamin ZhengThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB, T6G 1C9, Canada.
Juan Carlos BorregoDepartamento de Epidemiología, Hospital General de Zona #1 "Emilio Varela Luján", Instituto Mexicano del Seguro Social, Zacatecas, 98000, México.
Claudia Torres-CalzadaDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 1C9, Canada.
José Pedro Elizalde-DíazLaboratory of Cell Communication & Extracellular Vesicles, Division of Basic Science, Instituto Nacional de Medicina Genómica, 14610, Ciudad de México, Mexico.
Rupasri MandalThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB, T6G 1C9, Canada.
Mark BerjanskiiThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB, T6G 1C9, Canada.
Eduardo Martínez-MartínezLaboratory of Cell Communication & Extracellular Vesicles, Division of Basic Science, Instituto Nacional de Medicina Genómica, 14610, Ciudad de México, Mexico.
Jesús Adrián LópezMicroRNAs and Cancer Laboratory, Academic Unit of Biological Sciences, Autonomous University of Zacatecas, 98000, Zacatecas, Mexico.
David S WishartThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB, T6G 1C9, Canada. dwishart@ualberta.ca.
The Metabolomics Innovation Centre · CAUniversidad Autónoma de Zacatecas "Francisco García Salinas" · MXNational Institute of Genomic Medicine · MXUniversity of Alberta · CAHospital General De Zona · MXUniversity of Monterrey · MX

Funding

CIHR FS 148461
6 · The paper itself

Abstract

One of the major challenges currently faced by global health systems is the prolonged COVID-19 syndrome (also known as "long COVID") which has emerged as a consequence of the SARS-CoV-2 epidemic. It is estimated that at least 30% of patients who have had COVID-19 will develop long COVID. In this study, our goal was to assess the plasma metabolome in a total of 100 samples collected from healthy controls, COVID-19 patients, and long COVID patients recruited in Mexico between 2020 and 2022. A targeted metabolomics approach using a combination of LC-MS/MS and FIA MS/MS was performed to quantify 108 metabolites. IL-17 and leptin were measured in long COVID patients by immunoenzymatic assay. The comparison of paired COVID-19/long COVID-19 samples revealed 53 metabolites that were statistically different. Compared to controls, 27 metabolites remained dysregulated even after two years. Post-COVID-19 patients displayed a heterogeneous metabolic profile. Lactic acid, lactate/pyruvate ratio, ornithine/citrulline ratio, and arginine were identified as the most relevant metabolites for distinguishing patients with more complicated long COVID evolution. Additionally, IL-17 levels were significantly increased in these patients. Mitochondrial dysfunction, redox state imbalance, impaired energy metabolism, and chronic immune dysregulation are likely to be the main hallmarks of long COVID even two years after acute COVID-19 infection.

Indexed as

COVID-19Interleukin-17Chromatography, LiquidHumansMetabolomeMetabolomicsPost-Acute COVID-19 SyndromeSARS-CoV-2Tandem Mass SpectrometryInterleukin-17

Identifiers

PMID37528111
PMCPMC10394026
OpenAlexW4385457320

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.