About this Research Topic
Given the success of the previous collection Clinical Implications of Obesity and Lipid-Related Parameters on Cardiometabolic Diseases and the new advances in the field, we are pleased to announce the launch of Volume II.
Obesity and dyslipidemia are well-known contributors to cardiometabolic disorders, including cardiovascular events, chronic kidney disease, and non-alcoholic fatty liver diseases (NAFLD). Various anthropometric measurements to evaluate obesity, especially body mass index (BMI), waist circumference, and waist-to-height ratio (WHtR) have commonly been used to predict the risk of obesity-related comorbidities. In addition, several lipid-associated parameters, such as visceral adiposity index (VAI), triglyceride-glucose index (TyG index), triglyceride-to-high-density-lipoprotein-cholesterol (TG/HDL-C), and lipid accumulation product (LAP) have been adopted to estimate future cardiometabolic risk and even mortality. Nonetheless, further research is needed to determine the clinical use of these measures for cardiometabolic outcomes, and it is currently unknown which metrics or indices convey the highest risk of future cardiometabolic comorbidities and mortality.
This Research Topic aims to evaluate the association between obesity and/or lipid-related indices and various cardiometabolic diseases. With this collection, we want to compare the predictive ability of the obesity and/or lipid-related indices for identifying individuals at high risk of future cardiometabolic diseases. Moreover, we want to focus on the identification of novel anthropometric and lipid parameters with a great predictive value for future cardiometabolic diseases.
We welcome:
- Prospective cohort studies or observational studies;
- Translational research supporting the implication of the obesity and lipid-related parameters;
- Experimental research on the mechanisms of the association between obesity, impaired lipid metabolism, and cardiometabolic diseases;
- All review or systematic review, including meta-analyses on the above-mentioned themes.
Obesity and dyslipidemia are well-known contributors to cardiometabolic disorders, including cardiovascular events, chronic kidney disease, and non-alcoholic fatty liver diseases (NAFLD). Various anthropometric measurements to evaluate obesity, especially body mass index (BMI), waist circumference, and waist-to-height ratio (WHtR) have commonly been used to predict the risk of obesity-related comorbidities. In addition, several lipid-associated parameters, such as visceral adiposity index (VAI), triglyceride-glucose index (TyG index), triglyceride-to-high-density-lipoprotein-cholesterol (TG/HDL-C), and lipid accumulation product (LAP) have been adopted to estimate future cardiometabolic risk and even mortality. Nonetheless, further research is needed to determine the clinical use of these measures for cardiometabolic outcomes, and it is currently unknown which metrics or indices convey the highest risk of future cardiometabolic comorbidities and mortality.
This Research Topic aims to evaluate the association between obesity and/or lipid-related indices and various cardiometabolic diseases. With this collection, we want to compare the predictive ability of the obesity and/or lipid-related indices for identifying individuals at high risk of future cardiometabolic diseases. Moreover, we want to focus on the identification of novel anthropometric and lipid parameters with a great predictive value for future cardiometabolic diseases.
We welcome:
- Prospective cohort studies or observational studies;
- Translational research supporting the implication of the obesity and lipid-related parameters;
- Experimental research on the mechanisms of the association between obesity, impaired lipid metabolism, and cardiometabolic diseases;
- All review or systematic review, including meta-analyses on the above-mentioned themes.
Keywords: Dyslipidemia, obesity, cardiovascular disease, metabolic syndrome, type 2 diabetes mellitus, kidney disease, cardiometabolic disease
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
