Background Obesity is a risk factor for metabolic syndrome, which is a combination of metabolic abnormalities leading to development of cardiovascular abnormalities. Based on factors such as body mass index and metabolic syndrome, specific phenotypes for obesity have been established. These include metabolically healthy obese (MHO), metabolically unhealthy non-obese (MUNO), metabolically unhealthy obese (MUO), and metabolically healthy non-obese (MHNO). Echocardiography is a standard, noninvasive modality that is widely used to assess cardiovascular function. A systematic review and meta-analysis of echocardiographic studies in adult obesity found that obese adults were 4.2 times more likely to have left ventricular hypertrophy than nonobese adults.This study was conducted with the aim of the echocardiographic assessment of cardiac function in various obesity phenotypes. Material and methods This observational study was done in a tertiary care hospital and conducted for a period of two years from August 2019 to August 2021. Anthropometric data was obtained and metabolic parameters were estimated. After obtaining institutional ethical clearance, 400 patients were categorized into four groups of 100 based on their obesity phenotypes: MUO, MHO, MUNO, and 100 age- and sex-matched non-obese metabolically healthy individuals (MHNO) as controls. Echocardiographic assessment such as systolic and diastolic dysfunction was studied among above mentioned obesity phenotypes. The data was analysed using appropriate statistical significance tests. Results The mean BMI was highest in the MUO group (30.07 ±2.53), followed by MHO (28.79±2.3), and lowest in the MHNO group (22.77±1.13). The proportion of patients with Grade II diastolic dysfunction was higher in MUO patients (43%) compared to MHO patients (12%) and MUNO patients (16%). In contrast, the proportion of patients with Grade I diastolic dysfunction was lower in MUO patients (46%) compared to MHO patients (55%) and MUNO patients (57%). Systolic dysfunction in metabolically healthy non-obese (MHNO) patients (57.97 ± 2.34) was significantly higher than in MHO patients (51.83 ± 4.66, p < 0.0001), MUNO patients (51.49 ± 4.64, p < 0.0001), and MUO patients (49.9 ± 3.65, p < 0.0001). The proportion of patients with Grade II diastolic dysfunction was higher in MUO (43%) compared to MHO (12%) and MUNO (16%). In contrast, the proportion of patients with Grade I diastolic dysfunction was lower in MUO (46%) when compared to MHO (55%) and MUNO (57%). Systolic dysfunction in MHNO (57.97±2.34) was significantly higher as compared to MHO (51.83±4.66, p-value<.0001), MUNO (51.49±4.64, p-value<0.0001) and MUO (49.9±3.65, p-value<0.0001). Conclusion Cardiac function abnormalities in various phenotypes exhibit a significant positive correlation, including ventricular systolic and diastolic dysfunctions. Therefore, multidisciplinary management of all obesity phenotypes should be initiated as early as possible to prevent future cardiovascular morbidity and mortality.
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http://dx.doi.org/10.7759/cureus.78716 | DOI Listing |
Ann Med
December 2025
Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China.
Background: Cardiovascular disease (CVD) remains a major health concern globally, contributing to a considerable disease burden. However, few studies have considered long-term cumulative blood pressure (cBP) exposure in middle-aged and older population in China. The aim of this study was to investigate whether long-term cBP was associated with subsequent cardiovascular outcomes among participants without CVD at baseline in Chinese over 45 years old.
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March 2025
Division of Cardiovascular Medicine, School of Medicine, University of California San Diego, La Jolla. (K.F., P.D., J.B., M.C., E.E., Y. Chan, Y.G., V.A.D., V.M., N.D.D., A.D., M.K., K.L.P., F.S., Y. Cho, S.L.).
Background: Muscle proteins of the obscurin protein family play important roles in sarcomere organization and sarcoplasmic reticulum and T-tubule architecture and function. However, their precise molecular functions and redundancies between protein family members as well as their involvement in cardiac diseases remain to be fully understood.
Methods: To investigate the functional roles of Obsc (obscurin) and its close homolog Obsl1 (obscurin-like 1) in the heart, we generated and analyzed knockout mice for , , as well as double knockouts.
Autophagy
March 2025
Department of Critical Care Medicine and Emergency, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Cardiac dysfunction is a serious complication of sepsis-induced multiorgan failure in intensive care units and is characterized by an uncontrolled immune response to overwhelming infection. Type 2 innate lymphoid cells (ILC2s), as a part of the innate immune system, play a crucial role in the inflammatory process of heterogeneous cardiac disorders. However, the role of ILC2 in regulating sepsis-induced cardiac dysfunction and its underlying mechanism remain unknown.
View Article and Find Full Text PDFCureus
February 2025
Department of Biochemistry, Government Medical College Narsampet, Sarwapuram, IND.
Background: Diabetes mellitus (DM) increases the risk of left ventricular dysfunction (LVD), which can progress to heart failure if undetected. Echocardiography, a non-invasive and cost-effective imaging tool, provides real-time assessment of left ventricular (LV) function and enables early detection of myocardial dysfunction using advanced techniques such as tissue Doppler imaging and strain analysis. Diabetic patients are particularly prone to LVD due to chronic hyperglycemia, insulin resistance, and systemic inflammation, leading to myocardial fibrosis, microvascular dysfunction, and oxidative stress.
View Article and Find Full Text PDFCureus
February 2025
Internal Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Background Obesity is a risk factor for metabolic syndrome, which is a combination of metabolic abnormalities leading to development of cardiovascular abnormalities. Based on factors such as body mass index and metabolic syndrome, specific phenotypes for obesity have been established. These include metabolically healthy obese (MHO), metabolically unhealthy non-obese (MUNO), metabolically unhealthy obese (MUO), and metabolically healthy non-obese (MHNO).
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