ReviewFrontiers in physiology2020
The Impact of Polyphenols-Based Diet on the Inflammatory Profile in COVID-19 Elderly and Obese Patients.
Review in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05234203 (The Impact of a Polyphenol-Rich Supplement on Epigenetic and Cellular Markers of Immune Age), which is not on this map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Impact of a Polyphenol-Rich Supplement on Epigenetic and Cellular Markers of Immune Age
Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- The impact of a polyphenol-rich supplement on epigenetic and cellular markers of immune age: a pilot clinical study.Frontiers in nutrition · 2024Article
- The Role of Cyclodextrins in COVID-19 Therapy-A Literature Review.International journal of molecular sciences · 2023Review
- The multifaceted nature of IL-10: regulation, role in immunological homeostasis and its relevance to cancer, COVID-19 and post-COVID conditions.Frontiers in immunology · 2023Review
- Biochemistry of Antioxidants: Mechanisms and Pharmaceutical Applications.Biomedicines · 2022Review
- Phenolic compounds versus SARS-CoV-2: An update on the main findings against COVID-19.Heliyon · 2022Review
- Grape seed and skin extract, a potential prebiotic with anti-obesity effect through gut microbiota modulation.Gut pathogens · 2022Article
- Natural tannins as anti-SARS-CoV-2 compounds.International journal of biological sciences · 2022Review
- Polyphenols as Potential Inhibitors of SARS-CoV-2 RNA Dependent RNA Polymerase (RdRp).Molecules (Basel, Switzerland) · 2021Article
- Molecular Mechanisms of Possible Action of Phenolic Compounds in COVID-19 Protection and Prevention.International journal of molecular sciences · 2021Review
- Accumulation of CD28Biomolecules · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The World Health Organization declared the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)-associated disease (coronavirus disease 2019 - COVID-19) as a pandemic in March 2020. COVID-19 is characterized by cytokine storm, acute respiratory distress syndrome (ARDS), and systemic inflammation-related pathology and already kills more than 1.5 million of people worldwide. Since aged and obese COVID-19 patients exhibit an enhanced inflammatory status, they represent a high-risk cluster for rapidly progressive clinical deterioration. These individuals present comorbid disorders and immunosenescence that may promote viral-induced cytokine storm and expression of molecules acting as virus receptor as angiotensin I converting enzyme 2 (ACE2) and CD26 (dipeptidyl-peptidase 4), resulting in respiratory failure and increased morbidity and mortality. A better knowledge of SARS-CoV-2 infection in inflammatory-associated high-risk population is essential in order to develop the therapies needed to combat or prevent severe COVID-19. Here, we review the pathogenesis and clinical implications of inflammatory disorders and disease markers associated to senescence in COVID-19 patients and the emerging evidence to argue that a high intake of polyphenols may have a protective effect on SARS-CoV-2 illness severity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.