Association of circulating biomarkers with illness severity measures differentiates myalgic encephalomyelitis/chronic fatigue syndrome and post-COVID-19 condition: a prospective pilot cohort study.

Biomarkers Chronic fatigue syndrome Endothelial dysfunction Inflammation Long COVID Myalgic encephalomyelitis Post-acute sequelae of COVID-19 Post-exertional malaise

Journal

Journal of translational medicine
ISSN: 1479-5876
Titre abrégé: J Transl Med
Pays: England
ID NLM: 101190741

Informations de publication

Date de publication:
10 Apr 2024
Historique:
received: 10 12 2023
accepted: 30 03 2024
medline: 11 4 2024
pubmed: 11 4 2024
entrez: 10 4 2024
Statut: epublish

Résumé

Accumulating evidence suggests that autonomic dysfunction and persistent systemic inflammation are common clinical features in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID. However, there is limited knowledge regarding their potential association with circulating biomarkers and illness severity in these conditions. This single-site, prospective, cross-sectional, pilot cohort study aimed to distinguish between the two patient populations by using self-reported outcome measures and circulating biomarkers of endothelial function and systemic inflammation status. Thirty-one individuals with ME/CFS, 23 individuals with long COVID, and 31 matched sedentary healthy controls were included. All study participants underwent non-invasive cardiovascular hemodynamic challenge testing (10 min NASA lean test) for assessment of orthostatic intolerance. Regression analysis was used to examine associations between outcome measures and circulating biomarkers in the study participants. Classification across groups was based on principal component and discriminant analyses. Four ME/CFS patients (13%), 1 with long COVID (4%), and 1 healthy control (3%) presented postural orthostatic tachycardia syndrome (POTS) using the 10-min NASA lean test. Compared with matched healthy controls, ME/CFS and long COVID subjects showed higher levels of ET-1 (p < 0.05) and VCAM-1 (p < 0.001), and lower levels of nitrites (NOx assessed as NO Our findings revealed that combining biomarkers of endothelial dysfunction and inflammation with outcome measures differentiate ME/CFS and Long COVID using robust discriminant analysis of principal components. Further research is needed to provide a more comprehensive characterization of these underlying pathomechanisms, which could be promising targets for therapeutic and preventive strategies in these conditions.

Sections du résumé

BACKGROUND BACKGROUND
Accumulating evidence suggests that autonomic dysfunction and persistent systemic inflammation are common clinical features in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID. However, there is limited knowledge regarding their potential association with circulating biomarkers and illness severity in these conditions.
METHODS METHODS
This single-site, prospective, cross-sectional, pilot cohort study aimed to distinguish between the two patient populations by using self-reported outcome measures and circulating biomarkers of endothelial function and systemic inflammation status. Thirty-one individuals with ME/CFS, 23 individuals with long COVID, and 31 matched sedentary healthy controls were included. All study participants underwent non-invasive cardiovascular hemodynamic challenge testing (10 min NASA lean test) for assessment of orthostatic intolerance. Regression analysis was used to examine associations between outcome measures and circulating biomarkers in the study participants. Classification across groups was based on principal component and discriminant analyses.
RESULTS RESULTS
Four ME/CFS patients (13%), 1 with long COVID (4%), and 1 healthy control (3%) presented postural orthostatic tachycardia syndrome (POTS) using the 10-min NASA lean test. Compared with matched healthy controls, ME/CFS and long COVID subjects showed higher levels of ET-1 (p < 0.05) and VCAM-1 (p < 0.001), and lower levels of nitrites (NOx assessed as NO
CONCLUSIONS CONCLUSIONS
Our findings revealed that combining biomarkers of endothelial dysfunction and inflammation with outcome measures differentiate ME/CFS and Long COVID using robust discriminant analysis of principal components. Further research is needed to provide a more comprehensive characterization of these underlying pathomechanisms, which could be promising targets for therapeutic and preventive strategies in these conditions.

Identifiants

pubmed: 38600563
doi: 10.1186/s12967-024-05148-0
pii: 10.1186/s12967-024-05148-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

343

Subventions

Organisme : Instituto de Salud Carlos III
ID : PI19/00731
Organisme : Instituto de Salud Carlos III
ID : PI19/00629

Informations de copyright

© 2024. The Author(s).

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Auteurs

Joan Carles Domingo (JC)

Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, University of Barcelona, Barcelona, 08028, Spain.

Federica Battistini (F)

Molecular Modelling and Bioinformatics Group, Institute for Research in Biomedicine, Barcelona Institute of Science and Technology, Barcelona, 08028, Spain.

Begoña Cordobilla (B)

Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, University of Barcelona, Barcelona, 08028, Spain.

Maria Cleofé Zaragozá (MC)

Clinical Research Department, Laboratorios Viñas, Barcelona, 08012, Spain.

Ramón Sanmartin-Sentañes (R)

Division of Rheumatology, Clinical Unit in ME/CFS and Long COVID, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, 08035, Spain.
Division of Rheumatology, Research Unit in ME/CFS and Long COVID, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, 08035, Spain.

Jose Alegre-Martin (J)

Division of Rheumatology, Clinical Unit in ME/CFS and Long COVID, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, 08035, Spain.
Division of Rheumatology, Research Unit in ME/CFS and Long COVID, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, 08035, Spain.

Trinitat Cambras (T)

Department of Biochemistry and Physiology, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, 08028, Spain. cambras@ub.edu.

Jesus Castro-Marrero (J)

Division of Rheumatology, Research Unit in ME/CFS and Long COVID, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, 08035, Spain. jesus.castro@vhir.org.

Classifications MeSH