Growth Disorders

Insulin like growth factor and cytokine signalling predict future cognitive impairment in Parkinson's disease.

Cognitive impairment is a common non-motor sym.ptom of neurodegenerative Parkinson's disease (PD). However, the onset and severity of cognitive impairment is heterogenous and currently cannot be predicted. This makes it challenging for informing patients in advance, and for the application of early therapeutic interventions. Moreover, the biological pathways that underlie cognitive impairment in P...

Prediction Model for Mild Cognitive Impairment in Older Chinese Patients With Cerebral Small Vessel Disease Based on XGBoost Algorithms and Shapley Additive Explanations.

OBJECTIVE: This study aims to evaluate cognitive function in patients with Cerebral Small Vessel Disease (CSVD) and investigate its association with variables such as serum Insulin-like Growth Factor-1 (IGF-1). Artificial intelligence algorithms, specifically eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP), were utilized for analysis and interpretation. METHODS: A tota...

Multi-omics analysis of arginine metabolism in ovarian cancer: A prognostic signature and GTF2F2-driven stromal remodeling.

BACKGROUND: Arginine metabolism shapes tumor growth, stromal activation, and antitumor immunity, yet its translational relevance in ovarian cancer (OV...

Epigenetic-Genetic Crosstalk at the Cancer-Diabetes Interface: Convergent Molecular Pathways, Multi-Omics Biomarkers, and Dual Therapeutic Targets.

The complex interdependence between cancer and diabetes has become a major subject of research in molecular medicine since multiple data points indica...

Denoising of ultra-low-dose 15O positron emission tomography images using deep image prior with anatomical information extracted through magnetic resonance segmentation.

PURPOSE: Recent deep-learning methods can recover standard-dose PET images from low-dose images. However, these methods require a large amount of data...

Building the adult growth hormone deficiency data mart: a Real-World model of AI-driven clinical data extraction in a single Italian center.

PURPOSE: Adult Growth Hormone Deficiency (AGHD) is a complex and under-recognized condition, mainly managed in outpatient settings and characterized b...

Diagnosis of Acromegaly.

The clinical presentation of acromegaly reflects systemic effects of chronic GH and IGF-I excess. Diagnostic delay frequently ranges from 6 to 10 year...

Precision Medicine in Autoimmune Thyroid Diseases: Decoding Biomarkers, Targeted Therapies and Digital Innovation.

INTRODUCTION: Autoimmune thyroid diseases (AITDs), including Graves' disease and Hashimoto's thyroiditis, arise from genetic, epigenetic, and environm...

Current Controversies in Acromegaly Care.

Persistent disease after surgery for acromegaly is common. Expanding medical management options improves long-term biochemical and clinical outcomes, ...

An inflammatory biomarker panel for prediabetes classification using interpretable machine learning.

OBJECTIVE: Prediabetes is a silent condition that often goes undetected. However, timely interventions could prevent its progression to type 2 diabete...

Integrative Machine Learning Approach for Predicting Resistance to First-Generation Receptor Ligands in Acromegaly.

CONTEXT: Acromegaly, caused by excess growth hormone (GH) and insulin-like growth factor-1 (IGF-1) due to pituitary adenomas, often necessitates first...

Mechanisms underlying obesity-malignancy connection: a systematic narrative review.

The association between obesity and cancer risk carries substantial public health ramifications as obesity promotes cancer advancement via many cellul...

Cocaine-Induced Apoplexy of a GH-Secreting Pituitary Tumor.

A 25-year-old previously healthy man presents to the clinic with a severe headache after cocaine consumption. Physical examination revealed acromegalo...

Interpreting IGF-1 in children treated with recombinant growth hormone: challenges during early puberty.

OBJECTIVE: It can be challenging to determine the correct dosage of recombinant growth hormone (GH) in children with GH deficiency, leading to highly ...

Exercise improves body composition, physical fitness, and blood levels of C-peptide and IGF-1 in 11- to 12-year-old boys with obesity.

INTRODUCTION: Exercise is vital in preventing and treating obesity. Despite its importance, the understanding of how exercise influences childhood obe...

Linsitinib inhibits proliferation and induces apoptosis of both IGF-1R and TSH-R expressing cells.

BACKGROUND: The insulin-like growth factor 1 receptor (IGF-1R) and the thyrotropin receptor (TSH-R) are expressed on orbital cells and thyrocytes. The...

Deciphering Dormant Cells of Lung Adenocarcinoma: Prognostic Insights from O-glycosylation-Related Tumor Dormancy Genes Using Machine Learning.

Lung adenocarcinoma (LUAD) poses significant challenges due to its complex biological characteristics and high recurrence rate. The high recurrence ra...

Toward sustainable culture media: Using artificial intelligence to optimize reduced-serum formulations for cultivated meat.

When considering options for future foods, cell culture approaches are at the fore, however, culture media to support the process has been identified ...

Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.

The key factors playing a role in the pathogenesis of metabolic alterations observed in many patients with obesity have not been fully characterized. ...

Robotic approach for partial adrenalectomy.

Although safe and feasible, partial adrenalectomy is not a widespread procedure. Endorsement of robotic technologies and fluorescence techniques in ad...