Metabolic Pathways, COVID-19 and Other Viral Acute Respiratory Infections: Mechanisms and Clinical Implications: 2nd Edition

A special issue of Biomolecules (ISSN 2218-273X).

Deadline for manuscript submissions: 30 June 2025 | Viewed by 959

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Guest Editor
Department of Internal Medicine, Hospital Universitari de Sant Joan, Institut d’Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, 43204 Reus, Spain
Interests: infectious diseases; inflammation; COVID-19; nosocomial infections; outbreak
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Unitat de Recerca Biomèdica (Biomedical Research Unit), Hospital Universitari de Sant Joan, Institut d’Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain
Interests: oxidative stress; inflammation; metabolism; non-communicable diseases; infectious diseases
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Acute respiratory infections (ARIs) are a pressing issue, particularly among vulnerable populations. While these infections are primarily viral and often self-limiting, they remain the leading cause of antibiotic prescriptions worldwide. However, ARIs can escalate, requiring hospitalization and significantly impacting morbidity and mortality. Respiratory syncytial virus and various strains of influenza, especially influenza A and SARS-CoV-2, play central roles in the spectra of these diseases. The rapid diagnosis and identification of individuals at risk of severe progression are critical for timely and effective treatment.

Recently, there has also been a rise in herpes virus infections, highlighting the importance of understanding common mechanisms across viral diseases to improve treatment strategies. Increased oxidative stress, resulting from the infection and the macrophage-driven immune response, disrupts endogenous antioxidant systems and compromises mitochondrial function. This disruption leads to significant alterations in glycolysis, lipid, and amino acid metabolism, triggering an amplified inflammatory response and exacerbating the severity of symptoms. Research indicates that patients with chronic metabolic diseases are at higher risk of developing severe ARIs, as evidenced by those with atherosclerosis and COVID-19.

This Special Issue invites original research papers and reviews exploring the connections between metabolic pathways and ARIs. We believe that collaboration is key to advancing our understanding and treatment of these diseases. We welcome mechanistic studies in patients, experimental animal models, or cell cultures, as well as research identifying potential metabolic biomarkers for diagnosis, prognosis, or disease monitoring. Additionally, submissions that focus on novel treatments, such as pharmacological or involving bioactive compounds, and the discovery of new therapeutic targets are highly encouraged. Your contribution to this collaborative effort is crucial.

Dr. Simona Iftimie
Dr. Jordi Camps
Guest Editors

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Keywords

  • COVID-19
  • respiratory syncytial virus
  • influenza
  • SARS-CoV-2
  • viral acute respiratory infections
  • metabolic pathways
  • herpes virus

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Published Papers (1 paper)

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Research

15 pages, 1874 KiB  
Article
Genetic Analysis and Predictive Modeling of COVID-19 Severity in a Hospital-Based Patient Cohort
by Iraide Alloza-Moral, Ane Aldekoa-Etxabe, Raquel Tulloch-Navarro, Ainhoa Fiat-Arriola, Carmen Mar, Eloisa Urrechaga, Cristina Ponga, Isabel Artiga-Folch, Naiara Garcia-Bediaga, Patricia Aspichueta, Cesar Martin, Aitor Zarandona-Garai, Silvia Pérez-Fernández, Eunate Arana-Arri, Juan-Carlos Triviño, Ane Uranga, Pedro-Pablo España and Koen Vandenbroeck-van-Caeckenbergh
Biomolecules 2025, 15(3), 393; https://doi.org/10.3390/biom15030393 - 10 Mar 2025
Viewed by 696
Abstract
The COVID-19 pandemic has had a devastating impact, with more than 7 million deaths worldwide. Advanced age and comorbidities partially explain severe cases of the disease, but genetic factors also play a significant role. Genome-wide association studies (GWASs) have been instrumental in identifying [...] Read more.
The COVID-19 pandemic has had a devastating impact, with more than 7 million deaths worldwide. Advanced age and comorbidities partially explain severe cases of the disease, but genetic factors also play a significant role. Genome-wide association studies (GWASs) have been instrumental in identifying loci associated with SARS-CoV-2 infection. Here, we report the results from a >820 K variant GWAS in a COVID-19 patient cohort from the hospitals associated with IIS Biobizkaia. We compared intensive care unit (ICU)-hospitalized patients with non-ICU-hospitalized patients. The GWAS was complemented with an integrated phenotype and genetic modeling analysis using HLA genotypes, a previously identified COVID-19 polygenic risk score (PRS) and clinical data. We identified four variants associated with COVID-19 severity with genome-wide significance (rs58027632 in KIF19; rs736962 in HTRA1; rs77927946 in DMBT1; and rs115020813 in LINC01283). In addition, we designed a multivariate predictive model including HLA, PRS and clinical data which displayed an area under the curve (AUC) value of 0.79. Our results combining human genetic information with clinical data may help to improve risk assessment for the development of a severe outcome of COVID-19. Full article
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