Endocrinology

Identification of estrogen-related biomarkers in metabolic dysfunction-associated steatotic liver disease (MASLD) through machine learning and single-cell analysis.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is a prevalent chronic liver disease linked to metabolic risk factors. Sex hormones, particularly estrogen, appear to influence MASLD development, as premenopausal women are relatively protected. This study aims to identify estrogen-related biomarkers of MASLD ...

Biomarker-driven diagnostics and personalized treatment in polycystic ovary syndrome.

Polycystic Ovary Syndrome (PCOS) is a common and clinically heterogeneous endocrine disorder affecting approximately 4-20% of women worldwide. Its complex presentation frequently leads to delayed diagnosis, increasing the risk of long-term reproductive and metabolic complications. This review critically examines emerging biomarkers spanning hormonal, metabolic, inflammatory, and molecular pathways...

Integrating network toxicology, molecular docking and experimental validation reveals potential mechanisms of DEHP in osteoarthritis.

Di(2-ethylhexyl) phthalate (DEHP), a ubiquitous environmental endocrine disruptor, has been implicated in osteoarthritis (OA) pathogenesis, although t...

Genomics of Dendritic Cell Pyruvate Metabolism Reveals Stage-Associated Circulating Immune Signatures in Diabetic Retinopathy.

BACKGROUND: The role of circulating pyruvate in diabetic retinopathy (DR) progression is poorly defined. Unravelling its cell-specific genomic regulat...

Prospective validation of an AI algorithm to identify adult-onset type 1 diabetes misclassification: protocol for a non-interventional multicentre study.

INTRODUCTION: Adult-onset type 1 diabetes (T1D) is often misclassified as type 2 diabetes (T2D), resulting in delayed treatment, missed opportunities ...

Exploring clinical determinants and machine learning-based prediction of disease characteristics in Graves ophthalmopathy.

CLINICAL RELEVANCE: Improved risk stratification in Graves ophthalmopathy (GO) may support earlier recognition of severe disease patterns and more ind...

Hybrid deep ensemble architecture for robust diabetic retinopathy classification: leveraging transfer learning and CNN-transformer synergy.

Diabetic retinopathy (DR) is still one of the main reasons for vision loss worldwide, especially in places where people do not have easy access to reg...

BCAT1 mediates the carcinogenic effects of environmental bisphenol exposure: mechanistic discoveries in osteosarcoma and pan-cancer analysis.

Bisphenols (including BPA, BPF, BPS, BPAF and TBBPA) are ubiquitous environmental endocrine disruptors linked to increased risk of multiple malignanci...

Robust Heterojunction Nanoconstructs Enable Precise Decipherment of Aqueous Humor Metabolic Profiles in Multiple Retinal Diseases.

Retinal diseases (RD), which often cause irreversible vision impairment and lack effective treatments, necessitate more attention than common ocular c...

Ketone Body Metabolism and Sodium Glucose Cotransporter 2 Inhibitor Response in Heart Failure With Ischemic Cause: A Precision Medicine Approach Using Metabolomics Integration With Global Burden of Disease Population Data Across Diverse Genetic Backgrounds.

BACKGROUND: Heart failure with ischemic cause is associated with substantial cardiovascular mortality. SGLT2 (sodium glucose cotransporter 2) inhibito...

Identifying Unmonitored Tone Drift in Patient Education Materials Transcribed to a Lower Reading Level by a Large Language Model.

BACKGROUND AND OBJECTIVES: Effective patient education is essential in neurosurgery, but many materials exceed recommended readability levels, which c...

Neuroendocrine basis of affective behavior: what we can learn from differences in sex development (DSD).

Steroid hormones influence affective behavior and its underlying neural networks. However, distinguishing between organizational and activational horm...

Graph neural networks for networked analysis of gestational diabetes risk factors: a multi method framework.

Gestational diabetes mellitus, often known as GDM, is a major health issue that causes complications for mothers and requires patient data prediction ...

Decision tree with randomized grid search-based hyperparameter tuning and optimal feature scaling for diabetes diagnosis.

BACKGROUND: Diabetes is a chronic condition that arises when the body cannot effectively regulate blood glucose levels, either due to insufficient ins...

Development of a machine learning-based prediction model for hypothyroidism-associated delirium in elderly hypothyroid patients in the intensive care unit.

BACKGROUND: Patients with hypothyroidism admitted to the intensive care unit (ICU) frequently develop hypothyroidism-associated delirium (HAD), a cond...

Pancreatic Cancer Risk Stratification Across Diabetes Stages: Development and Internal Validation of a Machine Learning Model.

BACKGROUND: Pancreatic cancer is diagnosed at advanced stages in diabetes patients. Existing prediction models require complete historical data and fo...

Correction: ThyroFusion: A Multi-modal Deep Learning Framework Integrating Vision and Language for Thyroid Nodule Malignancy Risk Assessment.

Classification of glucose profile in Japanese patients with type 1 diabetes and its association with complications.

CONTEXT: The importance of utilizing continuous glucose monitoring (CGM) to optimize glycemic profiles and thereby prevent the onset of diabetic compl...

Separable, nonlinear, and interactive effects of testosterone and cortisol during status competition in humans: Evidence for the context-dependent dual hormone hypothesis.

The Dual Hormone Hypothesis is a biosocial model that describes the interactive effects of testosterone and cortisol on status-relevant behavior. Unde...

The atlas of abdominal organ remodeling in hepatocellular carcinoma patients: An artificial intelligence-based multicenter imaging study.

BACKGROUND: Morphological changes of abdominal organs in hepatocellular carcinoma (HCC) remain uncharacterized. This study aimed to automatically quan...