Publications by authors named "F Ricceri"

Background And Aims: It is well known that being overweight or obese is a risk factor for coronary artery disease (CAD). At the same time, belonging to these categories indirectly influences other risk factors like hypertension, diabetes or dyslipidemia also through a chronic inflammation condition. The aim of this study was to establish to which extent the effect of body mass index (BMI) on CAD risk can be explained by the chronic inflammation degree, using a statistical mediation model.

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Charlson Comorbidity Index (CCI) is one of the most reliable indicators to assess the impact of multimorbidity on COVID-19-related outcomes. Moreover, the patient's clinical conditions are associated with SARS-CoV-2 outcomes. This study aimed to analyze the association between multimorbidity and COVID-19-related outcomes, evaluating whether the National Early Warning Score 2 (NEWS2) mediated these associations.

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Background/objectives: Inflammation and immunological dysregulation are central to systemic lupus erythematosus (SLE), a complex autoimmune disease. Recently, there has been increasing interest in the potential role of dietary factors in SLE. This study aimed to explore the relationship between diet and SLE by addressing patient needs, conducting a systematic review, and providing guidance to the patient community.

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: Nutrimetabolomics may reveal novel insights into early metabolic alterations and the role of dietary exposures on prostate cancer (PCa) risk. We aimed to prospectively investigate the associations between plasma metabolite concentrations and PCa risk, including clinically relevant tumor subtypes. : We used a targeted and large-scale metabolomics approach to analyze plasma samples of 851 matched PCa case-control pairs from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.

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Introduction: Observational studies have shown that more educated people are at lower risk of developing type 2 diabetes (T2D). However, robust study designs are needed to investigate the likelihood that such a relationship is causal. This study used genetic instruments for education to estimate the effect of education on T2D using the Mendelian randomisation (MR) approach.

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