Low high-density lipoprotein cholesterol, but not high low-density lipoprotein cholesterol, associates with systemic metabolic alterations

Selected Abstract – Spring Meeting 2025

Aurora Merolla
Vita-Salute San Raffaele University, Milan, Italy
Rebecca De Lorenzo
Vita-Salute San Raffaele University, Milan, Italy
Jacopo Castellani
Department of metabolic health and aging, IRCCS Ospedale San Raffaele, Milan, Italy
Giulia Morocutti
Vita-Salute San Raffaele University, Milan, Italy
Emanuele D’angelo
Vita-Salute San Raffaele University, Milan, Italy
Lorenzo Ciocca
Vita-Salute San Raffaele University, Milan, Italy
Giacomo Paolazzi
Vita-Salute San Raffaele University, Milan, Italy
Francesca Paolelli
Vita-Salute San Raffaele University, Milan, Italy
Simona Santoro
Vita-Salute San Raffaele University, Milan, Italy
Giuseppina Manganaro
Vita-Salute San Raffaele University, Milan, Italy
Laura Leoni
Vita-Salute San Raffaele University, Milan, Italy
Antonella Spanò
Vita-Salute San Raffaele University, Milan, Italy
Eleonora Senini
Vita-Salute San Raffaele University, Milan, Italy
Martina Laffranchi
Vita-Salute San Raffaele University, Milan, Italy
Costanza Bagnati
Department of metabolic health and aging, IRCCS Ospedale San Raffaele, Milan, Italy
Valentina Vinelli
Department of metabolic health and aging, IRCCS Ospedale San Raffaele, Milan, Italy
Giuseppe Ancona
Department of metabolic health and aging, IRCCS Ospedale San Raffaele, Milan, Italy
Francesco Paciullo
Vita-Salute San Raffaele University, Milan, Italy
Teresa D’Aliberti
Department of metabolic health and aging, IRCCS Ospedale San Raffaele, Milan, Italy
Emanuela Setola
Department of metabolic health and aging, IRCCS Ospedale San Raffaele, Milan, Italy
Sabina Martinenghi
Department of metabolic health and aging, IRCCS Ospedale San Raffaele, Milan, Italy
Patrizia Rovere-Querini
Vita-Salute San Raffaele University, Milan, Italy and Department of metabolic health and aging, IRCCS Ospedale San Raffaele, Milan, Italy

Abstract

Aim: Dyslipidemia encompasses various forms of lipid abnormalities and represents a central component of metabolic syndrome. The relationship between dyslipidemia subtypes and broader metabolic profiles is poorly characterized in modern populations. This study provides a comprehensive metabolic characterization of patients presenting with distinct dyslipidemic patterns – low high-density lipoprotein cholesterol (HDL-c) and elevated low-density lipoprotein cholesterol (LDL-c) – at a dedicated tertiary-center outpatient clinic.
Methods: Patients evaluated at the Metabolic Health Clinic of San Raffaele Hospital, Milan, between January 2023 and October 2024, were included. Medical history, anthropometrics (i.e. body mass index, BMI, and waist circumference), serum lipids and liver enzymes were recorded. Patients with low HDL-c or high LDL-c, as defined according to current guidelines, were compared to patients with normal values. Network analysis identified patient distinct metabolic clusters.
Results: A total of 496 individuals were included. Patients with low HDL-c levels (n=193, 38.9%) exhibited higher BMI (28.6 vs 25.6 kg/m², p<0.001), waist circumference (100.0 vs 94.0 cm, p<0.001), ALT levels (28.0 vs. 23.0 U/L, p<0.001), and triglycerides (146.0 vs. 99.0 mg/dL, p<0.001), and a greater prevalence of fatty liver disease (33% vs. 21%, p 0.006) and arterial hypertension (51% vs. 39%, p 0.012) than those with normal HDL-c levels. HDL-c showed significant inverse correlations with both BMI (R coefficient -0.272, p<0.0001) and waist circumference (R coefficient -0.325, p<0.0001). Network analysis highlighted strong associations among HDL-c, triglycerides, ALT levels, BMI, and waist circumference. Conversely, high LDL-c levels, found in 382 (77%) patients, showed no association with metabolic parameters.
Conclusions: Low HDL-c was associated with obesity, central adiposity, hypertriglyceridemia, and fatty liver disease. In striking contrast, LDL-c appears to be independent of these metabolic alterations. These findings underscore the interconnectedness of HDL-c with the metabolic landscape, while emphasizing the importance of assessing LDL-c levels regardless of patient anthropometrics and metabolic phenotype.

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