Next Article in Journal
Correction: Seledtsov et al. Inflammation Control and Immunotherapeutic Strategies in Comprehensive Cancer Treatment. Metabolites 2023, 13, 123
Previous Article in Journal
Effects of n-3 Long-Chain Polyunsaturated Fatty Acid and Vitamin D Supplementation on Transcriptional Profiles of Human Lung Organoids
Previous Article in Special Issue
Uric Acid, Colchicine and Chronic Inflammatory Diseases: A Cardiovascular Perspective
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

Serum Uric Acid in the PAMELA Study: Main Findings and Association with the Atherogenic Index of Plasma

1
School of Medicine and Surgery, University of Milano-Bicocca, 20100 Milan, Italy
2
Cardiology 4, “A. De Gasperis” Department, ASST GOM Niguarda, 20159 Milan, Italy
3
Department of Medicine and Surgery, University of Milano-Bicocca, 20900 Milan, Italy
*
Author to whom correspondence should be addressed.
Metabolites 2025, 15(10), 671; https://doi.org/10.3390/metabo15100671 (registering DOI)
Submission received: 9 September 2025 / Revised: 7 October 2025 / Accepted: 13 October 2025 / Published: 14 October 2025
(This article belongs to the Special Issue Exploring Uric Acid and Beyond)

Abstract

Serum uric acid (SUA) overproduction, leading to hyperuricemia, represents a metabolic dysfunction of frequent detection in a number of diseases characterized by an elevated cardiovascular risk, such as metabolic syndrome, essential hypertension, dyslipidemia, obesity, and diabetes mellitus. Similar findings have been also reported for the Atherogenic Index of Plasma (AIP), i.e., a biomarker derived from the logarithmic transformation of the ratio between plasma triglycerides and high-density plasma lipoprotein cholesterol. Both SUA and AIP have been found to be sensitive predictors of fatal and non-fatal cardiovascular events and all-cause mortality, their association representing a highly sensitive marker potentiating the predictive value of each single factor. Although a number of studies have investigated the relationships between SUA and AIP, the association between these two metabolic variables still remains in several indistinct aspects. The present paper, after briefly summarizing the main features of the Pressioni Arteriose Monitorate E Loro Associazioni (PAMELA) study, will review the main study results related to SUA as cardiovascular risk factors. It will also report the original data collected in the PAMELA study on (1) the association between SUA and AIP and (2) the relationships between AIP and normal and elevated blood pressure, metabolic profile, and target organ damage associated with hypertension.
Keywords: uric acid; hyperuricemia; atherogenic index of plasma; lipids; cardiovascular risk uric acid; hyperuricemia; atherogenic index of plasma; lipids; cardiovascular risk

Share and Cite

MDPI and ACS Style

Maloberti, A.; Facchetti, R.; Cuspidi, C.; Grassi, G. Serum Uric Acid in the PAMELA Study: Main Findings and Association with the Atherogenic Index of Plasma. Metabolites 2025, 15, 671. https://doi.org/10.3390/metabo15100671

AMA Style

Maloberti A, Facchetti R, Cuspidi C, Grassi G. Serum Uric Acid in the PAMELA Study: Main Findings and Association with the Atherogenic Index of Plasma. Metabolites. 2025; 15(10):671. https://doi.org/10.3390/metabo15100671

Chicago/Turabian Style

Maloberti, Alessandro, Rita Facchetti, Cesare Cuspidi, and Guido Grassi. 2025. "Serum Uric Acid in the PAMELA Study: Main Findings and Association with the Atherogenic Index of Plasma" Metabolites 15, no. 10: 671. https://doi.org/10.3390/metabo15100671

APA Style

Maloberti, A., Facchetti, R., Cuspidi, C., & Grassi, G. (2025). Serum Uric Acid in the PAMELA Study: Main Findings and Association with the Atherogenic Index of Plasma. Metabolites, 15(10), 671. https://doi.org/10.3390/metabo15100671

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop