Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Feb 3;11(1):2941.
doi: 10.1038/s41598-021-82426-7.

Dysregulation of lipid metabolism and pathological inflammation in patients with COVID-19

Affiliations

Dysregulation of lipid metabolism and pathological inflammation in patients with COVID-19

Marianna Caterino et al. Sci Rep. .

Abstract

In recent months, Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread throughout the world. COVID-19 patients show mild, moderate or severe symptoms with the latter ones requiring access to specialized intensive care. SARS-CoV-2 infections, pathogenesis and progression have not been clearly elucidated yet, thus forcing the development of many complementary approaches to identify candidate cellular pathways involved in disease progression. Host lipids play a critical role in the virus life, being the double-membrane vesicles a key factor in coronavirus replication. Moreover, lipid biogenesis pathways affect receptor-mediated virus entry at the endosomal cell surface and modulate virus propagation. In this study, targeted lipidomic analysis coupled with proinflammatory cytokines and alarmins measurement were carried out in serum of COVID-19 patients characterized by different severity degree. Serum IL-26, a cytokine involved in IL-17 pathway, TSLP and adiponectin were measured and correlated to lipid COVID-19 patient profiles. These results could be important for the classification of the COVID-19 disease and the identification of therapeutic targets.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Lipid profiles in COVID-19 patient serum. (A) Supervised partial least squares-discriminant analysis (PLS-DA) score plot and (B) discriminant lipidic features according to the variable importance on projection (VIP) score of mild, moderate and severe COVID-19 patients. The top 30 important lipids (VIP score ≥ 2.0 were summarized according to their VIP score value. The intensity of the colored boxes indicates the relative lipids abundance in each group (0 mild, 1 moderate and 2 severe patients). (C) Heatmaps of the auto-scaled mean lipid concentrations of each patient groups (0 mild, 1 moderate and 2 severe patients) of significantly altered lipids (p < 0.05) in six different lipid classes. The heatmap color code represents the relative lipid abundance. The concentrations of the metabolites were imputed, log(2) transformed, and Pareto scaled.
Figure 2
Figure 2
Targeted lipidomic analyses. Volcano plots of differential concentrations of 483 lipids in comparison of (A) severe patient serum to mild and (B) severe patient serum to moderate. The fold change of significant differentially abundant lipids (p < 0.05) in (C) severe condition versus mild and (D) severe condition versus moderate were plotted according to their significant p-value, reported in Tables 1 and 2, respectively.
Figure 3
Figure 3
TSLP protein levels in COVID-19 patient serum. (A) TSLP concentration expressed in pg/mL in the serum of COVID-19 patients at time of hospital admission (T0) or 1-week after admission (T1). (B) TSLP levels in severely affected individuals was significantly higher than in mild or moderate cases (adjusted p-value = 0.048 and 0.046 respectively).

Similar articles

Cited by

References

    1. Thevarajan I, et al. Breadth of concomitant immune responses prior to patient recovery: a case report of non-severe COVID-19. Nat. Med. 2020;26:453–455. doi: 10.1038/s41591-020-0819-2. - DOI - PMC - PubMed
    1. Murthy S, Gomersall CD, Fowler RA. Care for critically Ill patients with COVID-19. JAMA. 2020 doi: 10.1001/jama.2020.3633. - DOI - PubMed
    1. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease, (COVID-19) outbreak in China: summary of a report of 72314 cases from the chinese center for disease control and prevention. JAMA. 2020 doi: 10.1001/jama.2020.2648. - DOI - PubMed
    1. Huang C, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506. doi: 10.1016/S0140-6736(20)30183-5. - DOI - PMC - PubMed
    1. Xu Z, et al. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. Lancet Respir. Med. 2020;8:420–422. doi: 10.1016/S2213-2600(20)30076-X. - DOI - PMC - PubMed

Publication types

Grants and funding