Evidence map›Paper›PMID 41931577›Full record

ArticlePloS one2026

New insights into the plasma and urinary metabolomic signatures of spontaneously hypertensive rats.

Celia Rodríguez-Pérez, Alejandra Vázquez-Aguilar, Oscar Daniel Rangel Huerta, Estefanía Sánchez-Rodríguez, Ángel Gil, Caridad Díaz, Félix Vargas, María D Mesa

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Celia Rodríguez-PérezDepartment of Nutrition and Food Science, Faculty of Pharmacy, University of Granada, Granada, Spain.
Alejandra Vázquez-AguilarInstitute of Nutrition and Food Technology (INYTA) 'José Mataix', Biomedical Research Centre, University of Granada, Granada, Spain.
Oscar Daniel Rangel HuertaSection of Chemistry and Toxinology, Norwegian Veterinary Institute, Ås, Norway.ORCID https://orcid.org/0000-0001-8585-0108
Estefanía Sánchez-RodríguezInstitute of Nutrition and Food Technology (INYTA) 'José Mataix', Biomedical Research Centre, University of Granada, Granada, Spain.
Ángel GilInstitute of Nutrition and Food Technology (INYTA) 'José Mataix', Biomedical Research Centre, University of Granada, Granada, Spain.
Caridad DíazDepartment of Screening & Target Validation, Fundación MEDINA, Granada, Spain.
Félix VargasDepartment of Physiology, Faculty of Medicine, University of Granada, Parque Tecnológico de la Salud, Avenida de la Investigación, Armilla, Granada, Spain.
María D MesaInstitute of Nutrition and Food Technology (INYTA) 'José Mataix', Biomedical Research Centre, University of Granada, Granada, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension is a major risk factor associated with cardiovascular diseases and one of the leading causes of premature death. Metabolomics is a useful tool for studying in vivo metabolic profiles to better understand the pathogenesis of diseases such as hypertension. This work aimed to explore the plasma and urinary non-targeted metabolic profile of 16-week-old spontaneously hypertensive rats (SHR) to identify new metabolomic profiles associated with hypertensive phenotypical characteristics.

methodsPlasma and 24-hours urine samples were collected from 10 SHR and 10 age-matched normotensive Wistar-Kyoto 16-week-old male rats. Plasma and urinary metabolic profiles were investigated using high-performance liquid chromatography quadrupole time of flight coupled to mass spectroscopy followed by multivariate statistical analysis. The mummichog pathway enrichment analysis was used to integrate metabolomics data into biological contexts.

resultsA total of 16 differential metabolites were found in plasma and 13 differential metabolites in urine from SHR compared to normotensive rats. Differences in some microbiota-derived metabolites suggest changes in the gut microbiota associated with hypertension in our experimental model. The mummichog algorithm has recognized that hypertensive metabolism is associated with the altered metabolism of steroid hormones, bile acid, and purines.

conclusionsThis work highlights the importance of metabolomics as a tool for the identification of biomarkers related to hypertension and its consequences in SHR. The findings suggest that alterations in the metabolism of steroid hormones, bile acids, and purines, as well as metabolites derived from the intestinal microbiota are associated with the presence of hypertension. More research is needed to further understand their role during hypertension.

Indexed as

HypertensionMetabolomeMetabolomicsAnimalsBiomarkersChromatography, High Pressure LiquidMaleRatsRats, Inbred SHRRats, Inbred WKYBiomarkers

Identifiers

PMID41931577
PMCPMC13048474

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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.