Obesity is a heterogenous disease accompanied by a broad spectrum of cardiometabolic risk profiles. Traditional paradigms for dietary weight management do not address biological heterogeneity between individuals and have catastrophically failed to combat the global pandemic of obesity-related diseases. Nutritional strategies that extend beyond basic weight management to instead target patient-specific pathophysiology are warranted. In this narrative review, we provide an overview of the tissue-level pathophysiological processes that drive patient heterogeneity to shape distinct cardiometabolic phenotypes in obesity. Specifically, we discuss how divergent physiology and postprandial phenotypes can reveal key metabolic defects within adipose, liver, or skeletal muscle, as well as the integrative involvement of the gut microbiome and the innate immune system. Finally, we highlight potential precision nutritional approaches to target these pathways and discuss recent translational evidence concerning the efficacy of such tailored dietary interventions for different obesity phenotypes, to optimise cardiometabolic benefits.
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http://dx.doi.org/10.1007/s11154-023-09821-5 | DOI Listing |
Diabetes
January 2025
William Harvey Research Institute, Barts Faculty of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, UK.
Diabetes mellitus (DM) leads to a more rapid development of DM cardiomyopathy (dbCM) and progression to heart failure in women than men. Combination of high-fat diet (HFD) and freshly-injected streptozotocin (STZ) has been widely used for DM induction, however emerging data shows that anomer-equilibrated STZ produces an early onset and robust DM model. We designed a novel protocol utilising a combination of multiple doses of anomer-equilibrated STZ injections and HFD to develop a stable murine DM model featuring dbCM analogous to humans.
View Article and Find Full Text PDFObesity (Silver Spring)
January 2025
Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Objective: Individuals who have metabolically healthy overweight/obesity (MHOO) do not have cardiometabolic complications despite an elevated BMI. Renin-angiotensin-aldosterone system (RAAS) activation and salt sensitivity of blood pressure (SSBP) are cardiovascular disease (CVD) risks, which are increased in individuals with higher BMI values. Little is known about the differences in RAAS activation and SSBP between MHOO and metabolically unhealthy overweight/obesity (MUOO) phenotypes.
View Article and Find Full Text PDFEur Heart J
January 2025
Cardiovascular Imaging Program, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.
Background And Aims: Skeletal muscle (SM) fat infiltration, or intermuscular adipose tissue (IMAT), reflects muscle quality and is associated with inflammation, a key determinant in cardiometabolic disease. Coronary flow reserve (CFR), a marker of coronary microvascular dysfunction (CMD), is independently associated with body mass index (BMI), inflammation and risk of heart failure, myocardial infarction, and death. The relationship between SM quality, CMD, and cardiovascular outcomes is not known.
View Article and Find Full Text PDFCardiovasc Diabetol
January 2025
Department of Cardiology, The Affiliated Hospital, Key Laboratory of Medical Electrophysiology, Ministry of Education, Institute of Cardiovascular Research, Basic Medicine Research Innovation Center for Cardiometabolic Diseases, Ministry of Education, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Globally, cardiovascular diseases remain among the leading causes of mortality, highlighting the urgent need for innovative research models. Consequently, the development of accurate models that simulate cardiac function holds significant scientific and clinical value for both disease research and therapeutic interventions. Cardiac organoids, which are three-dimensional structures derived from the induced differentiation of stem cells, are particularly promising.
View Article and Find Full Text PDFHum Genomics
January 2025
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Richards Building B304, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA.
Background: Disease comorbidities and longer-term complications, arising from biologically related associations across phenotypes, can lead to increased risk of severe health outcomes. Given that many diseases exhibit sex-specific differences in their genetics, our objective was to determine whether genotype-by-sex (GxS) interactions similarly influence cross-phenotype associations. Through comparison of sex-stratified disease-disease networks (DDNs)-where nodes represent diseases and edges represent their relationships-we investigate sex differences in patterns of polygenicity and pleiotropy between diseases.
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