AIMC Topic: Metabolic Syndrome

Clear Filters Showing 61 to 70 of 72 articles

Serum 25-hydroxyvitamin D and metabolic syndrome in a Japanese working population: The Furukawa Nutrition and Health Study.

Nutrition (Burbank, Los Angeles County, Calif.) Mar 16, 2016
OBJECTIVE: Increasing evidence has suggested a protective role of vitamin D on metabolic syndrome (MetS). However, studies addressing this issue are limited in Asia and it remains unclear whether calcium could modify the association. We examined the ...
Nutritional Status Multivariate Analysis Triglycerides Young Adult Calcium, Dietary Exercise Adult Multilevel Analysis Prevalence Cross-Sectional Studies Cholesterol Adolescent Male Blood Glucose Asian People Middle Aged Logistic Models Japan Humans Body Mass Index Waist Circumference Female Vitamin D Risk Factors Vitamin D Deficiency Aged Metabolic Syndrome Blood Pressure
View on PubMed DOI

Adipokines, inflammatory mediators, and insulin-resistance parameters may not be good markers of metabolic syndrome after liver transplant.

Nutrition (Burbank, Los Angeles County, Calif.) Dec 31, 2015
OBJECTIVE: The role of adipokines in liver transplantation (LTx) recipients who have metabolic syndrome (MetS) has seldom been assessed. The aim of this study was to investigate the concentrations of adipokines, inflammatory mediators, and insulin-re...
Inflammation Mediators Adiponectin Fatty Acids, Nonesterified Adipokines Resistin Metabolic Syndrome C-Reactive Protein Chemokine CCL2 Liver Transplantation Cross-Sectional Studies Humans Male Tumor Necrosis Factor-alpha Middle Aged Interleukin-6 Postoperative Complications Biomarkers Insulin Resistance Female
View on PubMed DOI

Beneficial effects of Bifidobacterium lactis on lipid profile and cytokines in patients with metabolic syndrome: A randomized trial. Effects of probiotics on metabolic syndrome.

Nutrition (Burbank, Los Angeles County, Calif.) Dec 7, 2015
OBJECTIVE: Human studies have shown the beneficial effects of probiotic microorganisms on the parameters of metabolic syndrome (MetS) and other cardiovascular risks, but to our knowledge the effect of Bifidobacterium lactis has not yet been reported....
Humans Cytokines Female Young Adult Adult Male Middle Aged Adolescent Metabolic Syndrome Lipids Probiotics Bifidobacterium
View on PubMed DOI

Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive Review.

Diabetes/metabolism research and reviews May 1, 2025
BACKGROUND: Metabolic syndrome (MetS) is a progressive chronic pathophysiological state characterised by abdominal obesity, hypertension, hyperglycaemia, and dyslipidaemia. It is recognised as one of the major clinical syndromes affecting human healt...
Machine Learning Prognosis Diabetes Mellitus, Type 2 Metabolic Syndrome Disease Management Humans Artificial Intelligence
View on PubMed DOI

Predicting metabolic syndrome: Machine learning techniques for improved preventive medicine.

Health informatics journal Jan 1, 2025
Metabolic syndrome (MetS) has a significant impact on health. MetS is the umbrella term for a group of interdependent metabolic threats that contribute to the emergence of diseases that can lead to death. This study was designed to better predict th...
Risk Factors Aged Adult Male Middle Aged Humans Machine Learning Prospective Studies Female Metabolic Syndrome Data Mining Preventive Medicine
View on PubMed DOI

Machine Learning-Assisted Analysis of Sublingual Microcirculatory Dysfunction for Early Cardiovascular Risk Evaluation and Cardiovascular-Kidney-Metabolic Syndrome Stage in Patients With Type 2 Diabetes Mellitus.

Diabetes/metabolism research and reviews Sep 1, 2024
AIMS: To examine whether sublingual microcirculation can be used as an effective and noninvasive method for assessing cardiovascular, kidney, and metabolic risks in patients with type 2 diabetes mellitus (T2DM).
Cardiovascular Diseases Female Middle Aged Metabolic Syndrome Humans Risk Factors Risk Assessment Machine Learning Heart Disease Risk Factors Aged Diabetes Mellitus, Type 2 Prognosis Carotid Intima-Media Thickness Cross-Sectional Studies Follow-Up Studies Microcirculation Male Mouth Floor
View on PubMed DOI

An interpretable predictive deep learning platform for pediatric metabolic diseases.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: Metabolic disease in children is increasing worldwide and predisposes a wide array of chronic comorbid conditions with severe impacts on quality of life. Tools for early detection are needed to promptly intervene to prevent or slow the de...
Humans Electronic Health Records Female Male Diabetes Mellitus, Type 2 Pediatric Obesity Metabolic Syndrome Area Under Curve Metabolic Diseases Deep Learning Adolescent Child, Preschool Child ROC Curve Prediabetic State
View on PubMed DOI

A nine-hub-gene signature of metabolic syndrome identified using machine learning algorithms and integrated bioinformatics.

Bioengineered Dec 1, 2021
Early risk assessments and interventions for metabolic syndrome (MetS) are limited because of a lack of effective biomarkers. In the present study, several candidate genes were selected as a blood-based transcriptomic signature for MetS. We collected...
Metabolic Syndrome Transcriptome Protein Interaction Maps Computational Biology Databases, Genetic Humans Machine Learning Algorithms Biomarkers Female Male
View on PubMed DOI

Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.

Metabolic syndrome and related disorders Nov 1, 2019
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (NAFLD) in which the inflammation of hepatocytes can lead to increased cardiovascular risk, liver fibr...
Hypertension Metabolic Syndrome Decision Making Non-alcoholic Fatty Liver Disease Disease Progression Prevalence Severity of Illness Index Diabetes Mellitus, Type 2 Liver Cirrhosis Sensitivity and Specificity Cross-Sectional Studies Male Middle Aged Humans Machine Learning Algorithms Prognosis Retrospective Studies Female Aged Adult
View on PubMed DOI

Fuzzy logic based risk assessment system giving individualized advice for metabolic syndrome and fatal cardiovascular diseases.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
In 2005, global cardiovascular diseases caused 30% of deaths in Europe, which is 46% of total deaths for all death groups. Today, according to the International Adult Diabetes Federation, 20% to 25% of the adult population in the world has Metabolic ...
Metabolic Syndrome Turkey Humans Male Female Cardiovascular Diseases Risk Assessment Decision Support Systems, Clinical Fuzzy Logic
View on PubMed DOI
Popular Topics
Recent Journals