Arterial Morphology and Function Unit

Head of the Unit

Damiano Baldassarre, PhD

The Arterial Morphology and Function Research Unit conducts multidisciplinary research aimed at improving the understanding and prevention of atherosclerosis and cardiovascular diseases through cohort and population-based studies. Its objective is to investigate atherosclerotic disease across its entire spectrum, from the earliest stages to the most advanced manifestations.

The laboratory’s primary mission is to develop and refine innovative non-invasive vascular imaging techniques and to use them as a key tool for understanding the pathophysiology of atherosclerosis, improving risk prediction, and enhancing cardiovascular prevention strategies.

In particular, the Unit aims to:

  • Integrate vascular imaging with digital and artificial intelligence approaches to improve individual cardiovascular risk assessment;
  • Develop innovative primordial, primary, and secondary prevention programs;
  • Validate cost-effective approaches capable of improving the prediction and prevention of cardiovascular events;
  • Identify and characterize risk factors related to environment, family history, lifestyle, and psycho-behavioral aspects (such as smoking, diet, physical activity, occupation, family history of disease, etc.), and evaluate their interactions with genetics, genomics, and transcriptomics.

The main research areas include cardiovascular risk screening and prediction, the development of novel disease biomarkers, and translational research through vascular imaging techniques, digital medicine, and artificial intelligence approaches.

The Unit actively collaborates with Italian and European consortia, sharing and analyzing prospective and cross-sectional data to validate new predictive algorithms as well as imaging, clinical, genetic, epigenetic, and biochemical biomarkers.

INVESTIGATIVE METHODS

The Unit’s research relies on non-invasive diagnostic techniques to assess morphological and functional alterations of superficial arteries (e.g., carotid and brachial arteries), including:

  • High-resolution B-mode ultrasonography;
  • Three-dimensional (3D) ultrasonography;
  • Systems for measuring arterial mechanical properties and endothelial function (laser Doppler flowmetry and photoplethysmography).

All images are analyzed using state-of-the-art technologies.

Selected Projects

  • PNRR PROJECT – INFERIOR THYROID ARTERY OCCLUSION: A NEW MARKER OF CARDIOVASCULAR RISK

    This project aims to evaluate whether the inferior thyroid arteries (ITAs) may serve as novel, non-invasive indicators of cardiovascular risk. The study leverages data from the European IMPROVE study database (3,703 participants, with a mean follow-up of 10 years) as well as a cohort of subjects evaluated over the years in the laboratory. The research explores the relationships between ITA characteristics and traditional cardiovascular risk factors, subclinical atherosclerosis, genetic variants, and chronic inflammation. The ultimate goal is to determine whether ultrasound-derived ITA parameters can predict cardiovascular events, either independently or in combination with established cardiovascular risk determinants.

    CV-PREVITAL – PRIMARY CARDIOVASCULAR PREVENTION STRATEGIES IN THE ITALIAN POPULATION

    CV-PREVITAL is a primary prevention project funded by the Italian Ministry of Health. It is a multicenter, prospective, randomized study with two main objectives:

    1. To assess the effectiveness of a mobile health (mHealth) intervention aimed at monitoring and managing cardiovascular risk factors in improving cardiometabolic health and reducing vascular events.
    2. To collect clinical data and biological samples to support future research on the genetic, molecular, and behavioral determinants of cardiovascular disease in the Italian population.

    The Unit is responsible for the overall coordination of the project, which has enrolled nearly 28,000 participants, as well as for an ancillary study specifically focused on individuals with prediabetes (CV-PREVITAL Prediabetes).

    CVrisk-IT – INNOVATIVE RISK PREDICTION APPROACHES FOR THE PRIMARY PREVENTION OF CARDIOVASCULAR DISEASES IN ITALY

    CVrisk-IT is a project funded by the Italian Ministry of Health aimed at evaluating the impact of integrating genetic and vascular imaging data into cardiovascular risk assessment based on the SCORE2 and SCORE2-OP models.

    As with CV-PREVITAL, the project includes the collection of clinical data and biological samples stored in the distributed biobank of the Italian Cardiology Network IRCCS. The study seeks to provide new evidence to improve cardiovascular risk prediction, support personalized primary prevention strategies, and promote the integration of genetic and imaging-based approaches into clinical practice guidelines.

best publications in the last three years

    • K.A. Broadaway, X. Yin, A. Williamson, et al. Loci for insulin progressing and secretion provide insight into type 2 diabetes risk. Am J Hum Genet. 2023 Feb 2;110(2):284-299.
    • B. Maitusong, F. Laguzzi, RJ. Strawbridge, et al. Cross-Sectional Gene-Smoking Interaction Analysis in Relation to Subclinical Atherosclerosis-Results from the IMPROVE Study. Circ Genom Precis Med. 2023; 16(3): 236-247.
    • D. Baldassarre, L. Iacoviello, R. Baetta et al. Rationale and design of the CV-PREVITAL study: an Italian multiple cohort randomised controlled trial investigating innovative digital strategies in primary cardiovascular prevention. BMJ Open. 2023; 13(7):e072040.
    • B. Frigerio, D. Coggi, A. Bonomi, et al. Determinants of Carotid Wall Echolucency in a Cohort of European High Cardiovascular Risk Subjects: A Cross-Sectional Analysis of IMPROVE Baseline Data. Biomedicines. 2024 Mar 26;12(4):737.
    • S. Narayanan, S. Vuckovic, O. Bergman et al. Atheroma transcriptomics identifies ARNTL as a smooth mucle cell regulator and with clinical and genetic data improves risk stratification. Eur Heart J. 2025; 46(3):308-322.

Staff

  • Mauro Amato, Ph.D

    Roberta Baetta, Ph.D

    Daniela Coggi, Ph.D

    Beatrice Frigerio, Ph.D

    Alessio Ravani, MSc

    Daniela Sansaro, MSc

    Federica Bologna, MSc

    Giulia Castellaneta, MSc

    Emanuele Battezzati, MD

    Sara Caratozzolo, MD

    Manuela Pettignano

    Ornella Garganese