Interplay among lipoprotein(a), hepatic and vascular damage in individuals with metabolic dysfunction
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: The relationship between plasma lipoprotein(a) [Lp(a)] levels and metabolic dysfunction-associated steatotic liver disease (MASLD) remains unclear. The aim of this study was to examine the combined effects of Lp(a) levels on liver and vascular damage. METHODS: The study was conducted using the Liver-Bible cohort of individuals with metabolic dysfunction (n = 859, 808 with genomic information) and the Milan Biobank (n = 6963). Genome-wide association studies (GWAS) and polygenic risk scores (PRS) were used to evaluate the inherited factors influencing plasma Lp(a) levels. RESULTS: In the Liver-Bible cohort, genetic variation in the LPA gene was the strongest determinant of Lp(a), followed by liver stiffness measurement (LSM). Additionally, circulating Lp(a) levels, but not genetic predisposition, were inversely related to LSM, suggesting that MASLD severity may affect Lp(a) secretion. Among participants with more severe insulin resistance (n = 250), Lp(a) levels (odds ratio 6.7, 95% CI 1.0-53.0, p = 0.046) and LSM (odds ratio 13.7, 95% CI 1.4-172.2, p = 0.023) were associated with greater prevalence of carotid atherosclerotic plaques, regardless of traditional cardiovascular risk factors. In the Milan Biobank, genetically predicted higher Lp(a) levels tended to increase the risk of liver-related outcomes, whereas genetically predicted MASLD was associated with lower circulating Lp(a) levels. CONCLUSIONS: The results of this study suggest that liver damage is more likely the cause of reduced plasma Lp(a) levels rather than a consequence. Assessing plasma Lp(a) levels and the extent of liver damage could improve the prediction of vascular damage.
Source: Cardiovascular Diabetology
Authors: Serena Pelusi, Chiara Macchi, Francesco Malvestiti, Sara Margarita, Irene De Matteis, Giulia Periti, Jessica Rondena, Stefania Mira, Francesca Iemma, Martina Tranchina, Barbara Nardi, Carla Lucci, Cesare R. Sirtori, Oscar Millet, Jose M. Mato, Giovanni Targher, Daniele Prati, Massimiliano Ruscica, Luca Valenti, Milan Biobank Investigators, Serena Pelusi, Giulia Periti, Vittoria Moretti, Stefania Mira, Sara Margarita, Luisa Ronzoni, Daniele Marchelli, Hadi Heidgah Torgabehei, Alessandra Cazzaniga, Elena Sinopoli, Laura Cerami, Elia Casirati, Eniada Rrapaj, Divya Akkaldev, Francesco Malvestiti, Martina Tranchina, Francesca Ferrari, Giuseppe Lamorte, Valentina Vaira, Daniele Prati, Luca Valenti, Roberta D’Ambrosio, Giulia Tosetti, Massimo Iavarone Pietro Lampertico, Marco Maggioni, Emanuela Orsi, Annalisa Cespiati, Paola Dongiovanni, Anna Ludovica Fracanzani, Chiara Rosso, Angelo Armandi, Gian Paolo Caviglia, Elisabetta Bugianesi, Grazia Pennisi, Salvatore Petta, Antonio Liguori, Luca Miele, Giorgio Soardo, Francesco Paolo Russo, Alessandro Federico, Federica Tavaglione, Umberto Vespasiani-Gentilucci, Francesca Marchignoli, Loris Pironi, Teresa Pollicino
Institutions: University of Milan, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, CIC bioGUNE, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, University of Verona, Ospedale Sacro Cuore Don Calabria, University of Palermo, University of Turin, University of Udine, University of Padua, University of Campania "Luigi Vanvitelli", University of Bologna
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,290
Awards: G1125589007, G134368001, G1345875553, G1864982059, G2076520454, Neuronal microscopy for cell behavioural examination and manipulation, G2220771028, G2370974534, G2619993990, Understanding Gene ENvironment Interaction in ALcohol-related hepatocellular carcinoma, G3562261265, G5015164659, G522415276, G5677816257, G5911110335, G5990168095, G686558340, G7039972366, G8549634154, G972786147
OpenAlex ID: W4416716792
