2022
DOI: 10.1038/s41418-022-01052-6
|View full text |Cite
|
Sign up to set email alerts
|

Long Covid: where we stand and challenges ahead

Abstract: Post-acute sequelae of SARS-CoV-2 (PASC), also known as Post-Covid Syndrome, and colloquially as Long Covid, has been defined as a constellation of signs and symptoms which persist for weeks or months after the initial SARS-CoV-2 infection. PASC affects a wide range of diverse organs and systems, with manifestations involving lungs, brain, the cardiovascular system and other organs such as kidney and the neuromuscular system. The pathogenesis of PASC is complex and multifactorial. Evidence suggests that seedin… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
78
1
7

Year Published

2022
2022
2025
2025

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 77 publications
(86 citation statements)
references
References 130 publications
0
78
1
7
Order By: Relevance
“…The exact pathophysiology of Long Covid is unknown but is likely multi-factorial, including the inflammatory cascade during acute infection and persistent viral replication. 21 Mechanistic in silico modeling predicts that translation of SARS-CoV-2 viral proteins is an especially sensitive target for inhibition, and previous studies show metformin capable of suppressing protein translation via mTor. 22,23 Experimentally, metformin has in-vitro activity at a physiologically relevant dose against SARS-CoV-2 in cell culture and in human lung tissue, ex vivo, and in a phase 2 clinical trial.…”
Section: Discussionmentioning
confidence: 99%
“…The exact pathophysiology of Long Covid is unknown but is likely multi-factorial, including the inflammatory cascade during acute infection and persistent viral replication. 21 Mechanistic in silico modeling predicts that translation of SARS-CoV-2 viral proteins is an especially sensitive target for inhibition, and previous studies show metformin capable of suppressing protein translation via mTor. 22,23 Experimentally, metformin has in-vitro activity at a physiologically relevant dose against SARS-CoV-2 in cell culture and in human lung tissue, ex vivo, and in a phase 2 clinical trial.…”
Section: Discussionmentioning
confidence: 99%
“…Regarding the etiology of long-COVID, studies have not yet reached a definite conclusion, but researchers have drawn hypotheses about the physiological pathways that may lead to the direct consequences of the viral infection in combination with inflammatory or autoimmune responses. Thus, some of the etiological factors for long-term symptoms associated with COVID-19 are viral persistence, either SARS-CoV-2 or RNAemia in tissues, persistent abnormalities in immune cells, changes in the inflammatory response, reactivation of latent pathogens, or autoimmune antibody development (Mantovani et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is conceivable that the corresponding autoantibodies positively impact the long-term outcome of COVID-19 by antagonizing or otherwise modulating the activation, recruitment and retention of these cell types 55 . In keeping with this observation, persistent immune responses have been proposed as a mechanism for long COVID, and chemokines have been implicated in its pathogenesis 7,31 .…”
Section: Discussionmentioning
confidence: 74%
“…Accordingly, chemokines recruit neutrophils and monocytes to sites of infection, where they play a key role in the pathophysiology of COVID-19 by sustaining inflammation and causing collateral tissue damage and fibrosis, particularly during the inflammatory phase that follows virus clearance 20, 24, 27–30 . Chemokines have also been implicated in the pathogenesis and as biomarkers of long COVID 31 . Anti-inflammatory treatments, such as steroids and IL-6 blockade, are efficacious in hospitalized COVID-19 patients, and therapies targeting the chemokine system are under development for immunological disorders and have been proposed for COVID-19 18, 22, 32, 33 .…”
mentioning
confidence: 99%