Omics for searching plasma biomarkers associated with unfavorable COVID-19 progression in hypertensive patients

Hypertension is one of the most common risk factors for COVID-19 clinical progression. The identification of plasma biomarkers for anticipating worse clinical outcomes and to better understand the shared mechanisms between hypertension and COVID-19 are needed. A hypothesis-generating study was designed to compare plasma proteomics and metabolomics between 22 hypertensives (HT) and 41 non-hypertensives (nHT) patients with the most unfavorable COVID-19 progression. A total of 43 molecules were significantly differed between HT (n = 22) and nHT (n = 41). Random Forest (RF) analysis identified myo-inositol, gelsolin and phosphatidylcholine (PC) 32:1 as the top molecules for distinguishing between HT and nHT. Plasma myo-inositol and gelsolin were higher (P = 0.03 and P = 0.02, respectively) and plasma PC 32:1 was lower (P = 0.03) in HT compared to nHT. Biological processes like stress response and blood coagulation, along with KEGG pathways including ascorbate and aldarate metabolism (P = 0.021) and linoleic acid metabolism (P = 0.028), were altered in hypertensive patients with the most unfavorable COVID-19 progression. There is a clear link between hypertension and severe COVID-19. Key biological pathways to consider for improving the prognosis and quality of life of hypertensive patients who become infected with SARS-CoV-2 include oxidative stress, ascorbate and aldarate metabolism, lipid metabolism, immune system and inflammation.

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Publication Details

Journal
Scientific Reports
Published
2025-03-25
DOI
https://doi.org/10.1038/s41598-025-94725-4
Citations
1
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
1.40
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article

Omics for searching plasma biomarkers associated with unfavorable COVID-19 progression in hypertensive patients

Graciano García‐Pardo, Anna Rull, Anna Martí, Francesc Vidal et al.
1 citations
Scientific Reports
COVID-19 Clinical Research Studies
1.40
article

Omics for searching plasma biomarkers associated with unfavorable COVID-19 progression in hypertensive patients

Graciano García‐Pardo, Anna Rull, Anna Martí, Francesc Vidal, Sílvia Chafino, Lídia Cedó, Frederic Gómez‐Bertomeu, Marta Massanella, Marina Flores-Piñas, Joaquim Peraire, Alba Sánchez
article en
1 citations

Abstract

Hypertension is one of the most common risk factors for COVID-19 clinical progression. The identification of plasma biomarkers for anticipating worse clinical outcomes and to better understand the shared mechanisms between hypertension and COVID-19 are needed. A hypothesis-generating study was designed to compare plasma proteomics and metabolomics between 22 hypertensives (HT) and 41 non-hypertensives (nHT) patients with the most unfavorable COVID-19 progression. A total of 43 molecules were significantly differed between HT (n = 22) and nHT (n = 41). Random Forest (RF) analysis identified myo-inositol, gelsolin and phosphatidylcholine (PC) 32:1 as the top molecules for distinguishing between HT and nHT. Plasma myo-inositol and gelsolin were higher (P = 0.03 and P = 0.02, respectively) and plasma PC 32:1 was lower (P = 0.03) in HT compared to nHT. Biological processes like stress response and blood coagulation, along with KEGG pathways including ascorbate and aldarate metabolism (P = 0.021) and linoleic acid metabolism (P = 0.028), were altered in hypertensive patients with the most unfavorable COVID-19 progression. There is a clear link between hypertension and severe COVID-19. Key biological pathways to consider for improving the prognosis and quality of life of hypertensive patients who become infected with SARS-CoV-2 include oxidative stress, ascorbate and aldarate metabolism, lipid metabolism, immune system and inflammation.

Scientific ReportsVol. 15(1)
Instituto de Salud Carlos III (ES), Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (ES), Institut de Recerca Biomèdica Catalunya Sud (ES), Centro de Investigación Biomédica en Red (ES), Hospital Universitari Germans Trias i Pujol (ES), Universitat Rovira i Virgili (ES)
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Openalex Percentile: Top 23%
COVID-19 Clinical Research Studies
1.40
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