ReviewBiology2025
Understanding Hypertension: A Metabolomic Perspective.
Review in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Metabolomics and cardiovascular risk factors in autoimmune-mediated connective tissue diseases - an exploratory, hypothesis-generating study.BMC rheumatology · 2026Article
- The Role of Metabolomics in Understanding Hypertension: Protocol for a Systematic Review and Meta-Analysis.JMIR research protocols · 2026Article
- Untargeted metabolomics identifies altered metabolome contributing to hypertension in late adolescents.Journal of translational medicine · 2026Article
- Regulatory roles of bioactive lipids in vascular homeostasis and remodeling.Medical review (2021) · 2026Review
- Elevated asprosin in hypertension: evidence from an exploratory case-control study.Scientific reports · 2026Article
- Molecular Interplay between hypertension and dyslipidemia in cardiovascular pathogenesis: toward precision-based therapeutic strategies.Frontiers in cardiovascular medicine · 2026Review
- Dietary intakes of cysteine, glutamate, proline, and tryptophan are associated with hypertension risk in Chinese children and adolescents: a national cross-sectional study integrating machine learning.Frontiers in nutrition · 2026Article
- Lysophosphatidylcholine as a Novel Diagnostic Biomarker in Kawasaki Disease: Based on Immunometabolism-Related Signature.Journal of inflammation research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Metabolomics approaches, such as Fourier transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR) spectroscopy, and mass spectrometry (MS), have emerged as powerful tools for studying cardiovascular diseases (CVD), including hypertension. The use of biological fluids, like plasma and serum, has garnered significant interest due to their accessibility and potential in elucidating disease mechanisms. This review aims to summarize the current literature on the application of metabolomics techniques (FTIR, NMR, and MS) in the study of hypertension, focusing on their contributions to understanding disease pathophysiology, biomarker discovery, and therapeutic advancements. A comprehensive analysis of metabolomic studies was performed, with a particular emphasis on the diversity of altered metabolites associated with systolic blood pressure (SBP), diastolic blood pressure (DBP), and sex-related differences. Metabolomics techniques, including FTIR, NMR, and MS, provide comprehensive insights into the biochemical alterations underlying hypertension, such as amino acid and fatty acid metabolism impairment or inflammation and oxidative stress processes. This review underscores their role in advancing biomarker identification, deepening our understanding of disease mechanisms, and supporting the development of targeted therapeutic strategies. The integration of these tools highlights their potential in personalized medicine and their capacity to improve clinical outcomes.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.