Articles producció científica> Ciències Mèdiques Bàsiques

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

  • Dades identificatives

    Identificador:  imarina:9452280
    Autors:  Sanchez, Alba; Garcia-Pardo, Graciano; Marti, Anna; Gomez-Bertomeu, Frederic; Chafino, Silvia; Massanella, Marta; Flores-Pinas, Marina; Cedo, Lidia; Vidal, Francesc; Peraire, Joaquim; Rull, Anna
    Resum:
    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.
  • Altres:

    Autor segons l'article: Sanchez, Alba; Garcia-Pardo, Graciano; Marti, Anna; Gomez-Bertomeu, Frederic; Chafino, Silvia; Massanella, Marta; Flores-Pinas, Marina; Cedo, Lidia; Vidal, Francesc; Peraire, Joaquim; Rull, Anna
    Departament: Ciències Mèdiques Bàsiques
    Autor/s de la URV: Gomez Bertomeu, Frederic-Francesc / RULL AIXA, ANNA
    Paraules clau: Adult; Aged; Biomarker; Biomarkers; Covid-19; Disease progression; Female; Humans; Hypertension; Male; Metabolomics; Middle aged; Myoinosito; Omics; Oxidative stress; Proteomics; Sars-cov-2
    Resum: 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.
    Grup de recerca: Infection and Immunity
    Àrees temàtiques: Astronomia / física; Biodiversidade; Biotecnología; Ciência da computação; Ciência de alimentos; Ciências agrárias i; Ciências ambientais; Ciências biológicas i; Ciências biológicas ii; Ciências biológicas iii; Economia; Educação; Educação física; Enfermagem; Engenharias ii; Engenharias iii; Engenharias iv; Farmacia; Geociências; Geografía; Interdisciplinar; Letras / linguística; Matemática / probabilidade e estatística; Materiais; Medicina i; Medicina ii; Medicina iii; Medicina veterinaria; Multidisciplinary; Multidisciplinary sciences; Nutrição; Odontología; Psicología; Química; Saúde coletiva; Zootecnia / recursos pesqueiros
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: frederic-francesc.gomez@urv.cat
    Data d'alta del registre: 2025-04-30
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://www.nature.com/articles/s41598-025-94725-4
    Referència a l'article segons font original: Scientific Reports. 15 (1): 10343-
    Referència de l'ítem segons les normes APA: Sanchez, Alba; Garcia-Pardo, Graciano; Marti, Anna; Gomez-Bertomeu, Frederic; Chafino, Silvia; Massanella, Marta; Flores-Pinas, Marina; Cedo, Lidia; V (2025). Omics for searching plasma biomarkers associated with unfavorable COVID-19 progression in hypertensive patients. Scientific Reports, 15(1), 10343-. DOI: 10.1038/s41598-025-94725-4
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.1038/s41598-025-94725-4
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2025
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Multidisciplinary,Multidisciplinary Sciences
    Adult
    Aged
    Biomarker
    Biomarkers
    Covid-19
    Disease progression
    Female
    Humans
    Hypertension
    Male
    Metabolomics
    Middle aged
    Myoinosito
    Omics
    Oxidative stress
    Proteomics
    Sars-cov-2
    Astronomia / física
    Biodiversidade
    Biotecnología
    Ciência da computação
    Ciência de alimentos
    Ciências agrárias i
    Ciências ambientais
    Ciências biológicas i
    Ciências biológicas ii
    Ciências biológicas iii
    Economia
    Educação
    Educação física
    Enfermagem
    Engenharias ii
    Engenharias iii
    Engenharias iv
    Farmacia
    Geociências
    Geografía
    Interdisciplinar
    Letras / linguística
    Matemática / probabilidade e estatística
    Materiais
    Medicina i
    Medicina ii
    Medicina iii
    Medicina veterinaria
    Multidisciplinary
    Multidisciplinary sciences
    Nutrição
    Odontología
    Psicología
    Química
    Saúde coletiva
    Zootecnia / recursos pesqueiros
  • Documents:

  • Cerca a google

    Search to google scholar