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. 2023 May:91:104552.
doi: 10.1016/j.ebiom.2023.104552. Epub 2023 Apr 8.

Cellular and molecular biomarkers of long COVID: a scoping review

Affiliations

Cellular and molecular biomarkers of long COVID: a scoping review

Estefanía Espín et al. EBioMedicine. 2023 May.

Abstract

Background: Long-COVID (LC) encompasses diverse symptoms lasting months after the initial SARS-CoV-2 infection. Symptoms can be debilitating and affect the quality of life of individuals with LC and their families. Although the symptoms of LC are well described, the aetiology of LC remains unclear, and consequently, patients may be underdiagnosed. Identification of LC specific biomarkers is therefore paramount for the diagnosis and clinical management of the syndrome. This scoping review describes the molecular and cellular biomarkers that have been identified to date with potential use for diagnosis or prediction of LC.

Methods: This review was conducted using the Joanna Briggs Institute (JBI) Methodology for Scoping Reviews. A search was executed in the MEDLINE and EMBASE databases, as well as in the grey literature for original studies, published until October 5th, 2022, reporting biomarkers identified in participants with LC symptoms (from all ages, ethnicities, and sex), with a previous infection of SARS-CoV-2. Non-English studies, cross-sectional studies, studies without a control group, and pre-prints were excluded. Two reviewers independently evaluated the studies, extracted population data and associated biomarkers.

Findings: 23 cohort studies were identified, involving 2163 LC patients [median age 51.8 years, predominantly female sex (61.10%), white (75%), and non-vaccinated (99%)]. A total of 239 candidate biomarkers were identified, consisting mainly of immune cells, immunoglobulins, cytokines, and other plasma proteins. 19 of the 239 candidate biomarkers identified were evaluated by the authors, by means of receiver operating characteristic (ROC) curves.

Interpretation: Diverse cellular and molecular biomarkers for LC have been proposed. Validation of candidate biomarkers in independent samples should be prioritized. Modest reported performance (particularly in larger studies) suggests LC may encompass many distinct aetiologies, which should be explored e.g., by stratifying by symptom clusters and/or sex.

Funding: Dr. Tebbutt has received funding from the Canadian Institutes of Health Research (177747) to conduct this work. The funding source was not involved in this scoping review, or in the decision to submit this manuscript for publication.

Keywords: Biomarkers; Long-COVID (LC); Post-COVID syndrome (PCS); Post-acute sequelae of SARS-CoV-2 infection (PASC).

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Conflict of interest statement

Declaration of interests All authors have completed the ICMJE uniform disclosure forms. C.Y. reports a grant from the Canadian Institutes of Health Research (grant number: 177747) as payment to their institution to support their work in Canada. The remaining authors have no conflicts of interest to declare.

Figures

Fig. 1
Fig. 1
PRISMA flow diagram.
Fig. 2
Fig. 2
Cellular and molecular biomarkers according to time-point measurement. ↑ increased levels of biomarkers in LC population compared to controls. ↓ decreased levels of biomarkers in LC population compared to controls.
Fig. 3
Fig. 3
Candidate biomarkers for symptom-specific categories of LC were measured in blood samples, except for SARS-CoV-2 RNAemia, detected in a nasal swab. Abbreviations: MDSCs (myeloid derived suppressor cells), APP (acute phase proteins), CRP (C-reactive protein), WBC (white blood cell counts), MCP-1 (Monocyte chemoattractant protein-1), IL (interleukin), TNF (tumor necrosis factor), IFN (interferon), NK (natural killer), Ig (Immunoglobulin), autoAb (auto-antibody) EBV (Epstein–Barr virus), CMV (cytomegalovirus), N (nucleocapsid SARS-CoV-2 protein), S (spike SARS-CoV-2 protein), GZMB (granzyme B), NDEV (neuron-derived extracellular vesicles), GFAP (glial fibrillary acidic protein), SNPH (syntaphilin), MOTS-c (Mitochondrial open reading frame of the 12S rRNA-c), VDAC1 (voltage-dependent anion-selective channel protein 1), NMDAR1 (N-methyl-d-aspartate receptor 1), MCU (mitochondrial calcium uniporter), NCLX (sodium/calcium exchanger), LETM1 (leucine zipper EF-hand containing transmembrane 1 protein).
Supplementary Fig. S1
Supplementary Fig. S1
Supplementary Fig. S2
Supplementary Fig. S2

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