Cargando…

Metal Body Burden as Cardiovascular Risk Factor in Adults with Metabolic Syndrome and Overweight–Obesity Analysed with an Artificial Neural Network: The Role of Hair Mineralograms

In determining the so-called “body burden”, hair has been widely accepted for assessing toxic element exposure. However, its role in assessing essential elements is controversial. This study investigates the possible relationship between hair minerals, metabolic syndrome (MetS) and cardiovascular (C...

Descripción completa

Detalles Bibliográficos
Autores principales:	Vigna, Luisella, Tirelli, Amedea Silvia, Grossi, Enzo, Turolo, Stefano, Tomaino, Laura
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303101/ https://www.ncbi.nlm.nih.gov/pubmed/37367837 http://dx.doi.org/10.3390/metabo13060679

Ejemplares similares

Vitamin D and Metabolic Syndrome in Working Age Subjects from an Obesity Clinic
por: Vigna, Luisella, et al.
Publicado: (2023)

Sterol 27-Hydroxylase Polymorphism Significantly Associates With Shorter Telomere, Higher Cardiovascular and Type-2 Diabetes Risk in Obese Subjects
por: Pavanello, Sofia, et al.
Publicado: (2018)

Nutrients Intake Is Associated with DNA Methylation of Candidate Inflammatory Genes in a Population of Obese Subjects
por: Bollati, Valentina, et al.
Publicado: (2014)

Platelet mitochondrial DNA methylation predicts future cardiovascular outcome in adults with overweight and obesity
por: Corsi, Sarah, et al.
Publicado: (2020)

Long- and Short-Term Exposures to PM(10) Can Shorten Telomere Length in Individuals Affected by Overweight and Obesity
por: Carugno, Michele, et al.
Publicado: (2021)

Application of Artificial Neural Networks to Investigate One-Carbon Metabolism in Alzheimer’s Disease and Healthy Matched Individuals
por: Coppedè, Fabio, et al.
Publicado: (2013)

Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB)
por: Grossi, Enzo, et al.
Publicado: (2008)

Plasma Metabolomic Profiling in 1391 Subjects with Overweight and Obesity from the SPHERE Study
por: Frigerio, Gianfranco, et al.
Publicado: (2021)

Effects of PM Exposure on the Methylation of Clock Genes in A Population of Subjects with Overweight or Obesity
por: Monti, Paola, et al.
Publicado: (2021)

Artificial Adaptive Systems and predictive medicine: a revolutionary paradigm shift
por: Grossi, Enzo
Publicado: (2010)

Neuropathological findings processed by artificial neural networks (ANNs) can perfectly distinguish Alzheimer's patients from controls in the Nun Study
por: Grossi, Enzo, et al.
Publicado: (2007)

Overview of Curcumin and Piperine Effects on Glucose Metabolism: The Case of an Insulinoma Patient’s Loss of Consciousness
por: Servida, Simona, et al.
Publicado: (2023)

Polymorphisms in folate-metabolizing genes, chromosome damage, and risk of Down syndrome in Italian women: identification of key factors using artificial neural networks
por: Coppedè, Fabio, et al.
Publicado: (2010)

Reduction of Cardio-Metabolic Risk and Body Weight through a Multiphasic Very-Low Calorie Ketogenic Diet Program in Women with Overweight/Obesity: A Study in a Real-World Setting
por: Tragni, Elena, et al.
Publicado: (2021)

Artificial Hair: By the Dawn to Automatic Biofibre® Hair Implant
por: Roccia, Maria, et al.
Publicado: (2017)

Outcome predictors in autism spectrum disorders preschoolers undergoing treatment as usual: insights from an observational study using artificial neural networks
por: Narzisi, Antonio, et al.
Publicado: (2015)

Placental determinants of fetal growth: identification of key factors in the insulin-like growth factor and cytokine systems using artificial neural networks
por: Street, Maria E, et al.
Publicado: (2008)

The Independent Role of Body Mass Index (BMI) and Severity of Depressive Symptoms on Biological Changes of Women Affected by Overweight/Obesity
por: Iodice, Simona, et al.
Publicado: (2021)

How artificial intelligence tools can be used to assess individual patient risk in cardiovascular disease: problems with the current methods
por: Grossi, Enzo
Publicado: (2006)

Hair–Metal Binding
por: Hinners, Thomas A., et al.
Publicado: (1974)

Artificial neural network analysis of bone quality DXA parameters response to teriparatide in fractured osteoporotic patients
por: Messina, Carmelo, et al.
Publicado: (2020)

Hericium erinaceus Improves Mood and Sleep Disorders in Patients Affected by Overweight or Obesity: Could Circulating Pro-BDNF and BDNF Be Potential Biomarkers?
por: Vigna, Luisella, et al.
Publicado: (2019)

Artificial Neural Networks Analysis of polysomnographic and clinical features in Pediatric Acute-Onset Neuropsychiatric Syndrome (PANS): from sleep alteration to “Brain Fog”
por: Gagliano, Antonella, et al.
Publicado: (2021)

Application of Artificial Neural Networks (ANN) to Elucidate the Connections among Smell, Obesity with Related Metabolic Alterations, and Eating Habit in Patients with Weight Excess
por: Velluzzi, Fernanda, et al.
Publicado: (2023)

Artificial neural networks allow the use of simultaneous measurements of Alzheimer Disease markers for early detection of the disease
por: Di Luca, Monica, et al.
Publicado: (2005)

Letter: Hair-metal binding.
por: Sorenson, J R, et al.
Publicado: (1975)

Artificial Neural Network Algorithms to Predict Resting Energy Expenditure in Critically Ill Children
por: Spolidoro, Giulia C. I., et al.
Publicado: (2021)

Extracellular vesicle-packaged miRNA release after short-term exposure to particulate matter is associated with increased coagulation
por: Pergoli, Laura, et al.
Publicado: (2017)

Motor Skills as Moderators of Core Symptoms in Autism Spectrum Disorders: Preliminary Data From an Exploratory Analysis With Artificial Neural Networks
por: Fulceri, Francesca, et al.
Publicado: (2019)

Recognition of Morphometric Vertebral Fractures by Artificial Neural Networks: Analysis from GISMO Lombardia Database
por: Eller-Vainicher, Cristina, et al.
Publicado: (2011)

Analyses of histological and transcriptome differences in the skin of short-hair and long-hair rabbits
por: Ding, Haisheng, et al.
Publicado: (2019)

Tower of London Test: A Comparison between Conventional Statistic Approach and Modelling Based on Artificial Neural Network in Differentiating Fronto-Temporal Dementia from Alzheimer’s Disease
por: Franceschi, Massimo, et al.
Publicado: (2011)

The time burden of overweight and obesity in primary care
por: Tsai, Adam G, et al.
Publicado: (2011)

The economic burden of overweight and obesity in Saudi Arabia
por: Malkin, Jesse D., et al.
Publicado: (2022)

Creating artificial Rhino Horns from Horse Hair
por: Mi, Ruixin, et al.
Publicado: (2019)

Low Bone Mineral Density and Its Predictors in Type 1 Diabetic Patients Evaluated by the Classic Statistics and Artificial Neural Network Analysis
por: Eller-Vainicher, Cristina, et al.
Publicado: (2011)

Hair Metal Levels and Childhood Weight Gain
por: VIGEH, Mohsen, et al.
Publicado: (2020)

Artificial neural networks in chemical engineering
por: Basile, Angelo, et al.
Publicado: (2017)

Prenatal Environmental Stressors and DNA Methylation Levels in Placenta and Peripheral Tissues of Mothers and Neonates Evaluated by Applying Artificial Neural Networks
por: Stoccoro, Andrea, et al.
Publicado: (2023)

Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis: An Artificial Neural Networks Solution in Patients with Computed Tomography Detected Coronary Artery Disease
por: Compare, Angelo, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_dm26i2p6ar5lklnkqgs4pu51kg