| Literature DB >> 35251002 |
Darakhshan Sohail Ahmed1,2, Stéphane Isnard1,2,3, Carolina Berini1,2,4, John Lin1,2, Jean-Pierre Routy1,2,4, Léna Royston1,2,3,5.
Abstract
Growth differentiation factor 15 (GDF-15) is a transforming growth factor (TGF)-β superfamily cytokine that plays a central role in metabolism regulation. Produced in response to mitochondrial stress, tissue damage or hypoxia, this cytokine has emerged as one of the strongest predictors of disease severity during inflammatory conditions, cancers and infections. Reports suggest that GDF-15 plays a tissue protective role via sympathetic and metabolic adaptation in the context of mitochondrial damage, although the exact mechanisms involved remain uncertain. In this review, we discuss the emergence of GDF-15 as a distinctive marker of viral infection severity, especially in the context of COVID-19. We will critically review the role of GDF-15 as an inflammation-induced mediator of disease tolerance, through metabolic and immune reprogramming. Finally, we discuss potential mechanisms of GDF-15 elevation during COVID-19 cytokine storm and its limitations. Altogether, this cytokine seems to be involved in disease tolerance to viral infections including SARS-CoV-2, paving the way for novel therapeutic interventions.Entities:
Keywords: COVID-19; GDF-15; adaptive metabolic response; biomarker; disease tolerance
Mesh:
Substances:
Year: 2022 PMID: 35251002 PMCID: PMC8888851 DOI: 10.3389/fimmu.2022.820350
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Studies reporting an association between GDF-15 and COVID-19 severity.
| Study design and country | Demographics | Comorbidities of studied patients | Sample size (n) | Patients with severe Sx/MR | Plasma GDF-15 correlation with patient status | Other markers correlated withn GDF-15 | Authors |
|---|---|---|---|---|---|---|---|
| Observational study | Hospitalized patients | DM, HTN, CVD, CKD, non-asthma respiratory disease, immunosuppression | 66 | 8/12.1% | Severity of the disease | Calprotectin | de Gaudiana et al. ( |
| Spain | > 60 years | Mortality | |||||
| Mostly males | |||||||
| Prospective observational study | ICU-hospitalized patients | DM, HTN, CVD, CKD, COPD, obesity | 123 | 35/28% | Severity of the disease at baseline, day 3, day 9 | Ferritin | Myhre et al. ( |
| Norway | >18 years | ICU admission | |||||
| Mortality | |||||||
| Single-center retrospective study | Presence of ARDS | None | 39 | 15/38.8% | ICU admission | IL-6, IL-10 and CRP | Notz et al. ( |
| Germany | Median age 58 years | ||||||
| 77% males | |||||||
| Case-control study | Hospitalized patients (moderate-severe symptoms) Median age 52 -58 years | None | 80 (patients with varying disease severity and Control) | 20/10% | Hospitalization rate | C3a, galectin-9 | Giron et al. ( |
| USA | 50% females | Mortality | |||||
| Cohort study | Median age 71 years | CVD, DM, HTN, stroke, prior MI, current smoker, obese | 3999 and 1088 (2 different international cohorts-ARISTOTLE and RE-LY studies) | ND | Mortality risk | NT-proBNP | Wallentin et al. ( |
| Sweden, USA | 73% males | ||||||
| Cohort study and subcohort study | Median age 72.2 years in ESKD and COVID-19 + group | Subcohort A - - 55 COVID-19 positive ESKD patients | 41/46, 89% | Disease severity | IL18BP, CTSD and KRT19 | Gisby et al. ( | |
| London, UK | Median age 70.1 years in ESKD and COVID-19 - group | - 51 COVID-19 negative ESKD patients | Mortality risk | ||||
| Subcohort B | |||||||
| - 52 COVID-19 positive ESKD patients | |||||||
| - 11 COVID-19 negative ESKD patients | |||||||
| Retrospective study | Median age 38-62 years | HTN, DM, anemia, liver cysts, respiratory diseases, stroke, CVD, hyperlipidemia | 440 | Males= 10 (56%) | Severity and progression of disease | IL-6, IL-8 and CRP | Teng et al. ( |
| Foshan, China | (biomarkers analyzed in 111 patients) | Females= 21 (64%) |
GDF-15, growth differentiation factor 15; HIV, human immunodeficiency virus; HBV, hepatitis B virus; HRV, human rhinovirus; IL, interleukin; CRP, C-reactive protein; GM-CSF, granulocyte-macrophage colony-stimulating factor; TNF, tumor necrosis factor; IFN, interferon; DM, diabetes mellitus; CKD, chronic kidney disease; HTN, hypertension; MI, myocardial infarction; COPD, chronic obstructive pulmonary disease; CVD, cardiovascular disease; O2, oxygen; CLD, chronic liver disease; C3a, complement 3a; HCC, hepatocellular carcinoma; HBV, hepatitis B virus; CLD, chronic liver disease; CHB, chronic hepatitis B; ESKD, end-stage kidney disease; ARDS, adult respiratory distress syndrome; MR, mortality rate; (+), high plasma levels; hs-cTnT, high sensitive cardiac troponin T; NT-proBNP, N-terminal proB-type natriuretic peptide; n, sample size; UK, United Kingdom; CTSD, cathepsin D; KRT19, keratin 19; ICU, intensive care unit; O2, oxygen; Sx, symptoms; MR, mortality rate; ND, not described.
Figure 1Contribution of a GDF-15 signaling pathway in COVID-19 pathogenesis. Lungs infected with SARS-CoV-2 lead to tissue damage, hypoxia, and endothelialitis. Tobacco smoke, ultrafine particles, and air pollutants act as a co-stimulant in the direct release of GDF15 in the lung epithelial cells. The virus enters the host cell via ACE2 on type II pneumocytes causing the recruitment of leucocytes, hence, elevated innate immune response. SARS-COV-2 also causes direct endothelialitis after the destruction of the alveolar epithelia. The transmigration of leucocytes causes a massive release of proinflammatory cytokines IL-6, IL-8, TNF alpha, IP-10, IL-1beta, IFN gamma, GM-CSF, and Notch pathway. The hippo pathway favors IL-17 differentiation and the Wnt pathway inhibits Treg suppressor function mediated by GDF15 resulting in overwhelming immune system activation. Together with the formation of the syncytium, hyperactivation of immune response commenced leading to cytokine storm, hypercoagulation and elevated neutrophils-lymphocytes ratio critical in severe outcomes in patients affected with SARS-COV-2 especially with comorbidities. GDF, growth differentiation factor; IL, interleukin; ARDS, acute respiratory distress syndrome; ACE, angiotensin-converting enzyme; UFP, ultrafine particles; HF, heart failure; COPD, chronic obstructive pulmonary disease; CVD, cardiovascular diseases; CD, cluster differentiation; GM-CSF, granulocyte monocyte-colony stimulating factor; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; ESKD, end-stage kidney disease; IDA, iron-deficiency anemia; T reg, regulatory T cells; ICU, intensive care unit; NK cells, natural killer cells.