Evidence map›Paper›PMID 40133696›Full record

ArticleScientific reports2025

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

Alba Sánchez, Graciano García-Pardo, Anna Martí, Frederic Gómez-Bertomeu, Silvia Chafino, Marta Massanella, Marina Flores-Piñas, Lídia Cedó, Francesc Vidal, Joaquim Peraire and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Alba Sánchez *Infection and Immunity (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain.
Graciano García-Pardo *Infection and Immunity (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain.
Anna MartíInfection and Immunity (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain.
Frederic Gómez-BertomeuInfection and Immunity (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain.
Silvia ChafinoInfection and Immunity (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain.
Marta MassanellaCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
Marina Flores-PiñasInfection and Immunity (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain.
Lídia CedóGrup de Recerca en Diabetis i Malalties Metabòliques Associades (DIAMET), Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Joan XXIII, Tarragona, Spain.
Francesc VidalInfection and Immunity (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain.
Joaquim Peraire *Infection and Immunity (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain. jjperaire.hj23.ics@gencat.cat.
Anna Rull *Infection and Immunity (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain. anna.rull@iispv.cat.

Funding

Instituto de Salud Carlos III CP19/00146MCIN/AEI/10.13039/501100011033 PID2020-119030RJ-I00Unión Europea - Next Generattion EU 2022 INV-1 00036
6 · The paper itself

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.

Indexed as

BiomarkersCOVID-19HypertensionAgedDisease ProgressionFemaleHumansMaleMetabolomicsMiddle AgedProteomicsSARS-CoV-2BiomarkersBiomarkersCOVID-19HypertensionOmics

Identifiers

PMID40133696
PMCPMC11937446

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.