AIMC Topic: Obesity

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Deciphering the clinical implication of an obesity-related gene signature as the novel biomarker for acute myocardial infarction diagnosis.

Scientific reports
Acute myocardial infarction (AMI) stands as a major contributor to mortality and disability worldwide, with obesity playing a significant role in its development. This study aims to investigate potential biomarkers associated with obesity-related gen...

Culturally tailored interventions in adults with obesity: a protocol for a systematic review with meta-analysis and qualitative evidence synthesis.

BMJ open
INTRODUCTION: Obesity disproportionately affects ethnic minority populations due to structural inequalities, such as limited access to healthy food, inadequate healthcare and systemic racism. Universal weight management programmes often fail to meet ...

Using unsupervised machine learning methods to cluster cardio-metabolic profile of the middle-aged and elderly Chinese with general and central obesity.

BMC cardiovascular disorders
BACKGROUND: Obesity is a disease with high heterogeneity. Both overall obesity and central obesity are associated with increased risks of having cardio-metabolic co-morbidities. This study is aimed to examine the cardio-metabolic characteristics and ...

The future of bariatric surgery: could surgical practice take advantage of in silico computational tools and artificial intelligence?

Progress in biomedical engineering (Bristol, England)
In 2023, the 8th IFSO analysis reported 480 970 metabolic bariatric procedures worldwide, as an action against obesity, a pandemic affecting more than a billion people. Despite the well-documented risks associated with obesity and the potential healt...

Investigation into the molecular mechanism of obesity: an integrated approach of multi-omics analysis, machine learning and experimental validation.

Journal of translational medicine
BACKGROUND: Obesity has emerged as a major global public health challenge and poses a significant threat to human health. Despite extensive research, the mechanisms underlying its pathological progression remain elusive.

Machine learning insights into obesity related genes XRCC4 and ARL6 in obstructive sleep apnea.

Sleep & breathing = Schlaf & Atmung
PURPOSE: Obstructive sleep apnea (OSA) is highly prevalent among obese individuals, with a complex and bidirectional relationship wherein obesity not only serves as a primary risk factor for OSA but also exacerbates its severity. This interconnection...

Machine learning framework for predicting susceptibility to obesity.

Scientific reports
Obesity, currently the fifth leading cause of death worldwide, has seen a significant increase in prevalence over the past four decades. Timely identification of obesity risk facilitates proactive measures against associated factors. In this paper, w...

Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning.

eLife
Diabetes affects >10% of adults worldwide and is caused by impaired production or response to insulin, resulting in chronic hyperglycemia. Pancreatic islet β-cells are the sole source of endogenous insulin, and our understanding of β-cell dysfunction...

A cross-sectional and bioinformatics-based analysis: perirenal fat thickness as a superior predictor of kidney stone disease.

Lipids in health and disease
BACKGROUND: Kidney stone disease (KSD) is a growing global health concern, with obesity (OB) as a major risk factor linked to metabolic dysfunction and chronic inflammation. Although the common method for evaluating OB is body mass index (BMI), it is...

Intestinal bacteria translocation promotes β-cell dysfunction in DIO mice.

Scientific reports
Awareness of the intestinal microflora involved in insulin resistance and type 2 diabetes (T2DM) has now become more evident. However, direct mechanical insight is required to illustrate the contribution of intestinal microflora in the disease progre...