Steroids

Integrative multi-omics and machine learning reveal PLAUR as a Pan-Cancer prognostic biomarker and potential therapeutic target.

Tumor heterogeneity remains a major barrier to effective cancer therapy, driving the need for novel biomarkers and targeted strategies. A bibliometric analysis underscored the lack of a systematic pan-cancer study of PLAUR. By integrating functional experiments, multi-omics analyses, and machine learning, we systematically investigated urokinase-type plasminogen activator receptor (PLAUR) across m...

Post-stroke rehabilitation in inflammatory rheumatic diseases: outcome measures, digital tools, and patient education perspectives.

Inflammatory rheumatic diseases (IRDs) represent a significant risk factor for cerebrovascular events, independent of traditional cardiovascular risk factors. The elevated risk of stroke in individuals with IRDs arises from chronic systemic inflammation, endothelial dysfunction, accelerated atherosclerosis, prothrombotic effects of antiphospholipid antibodies, and cumulative corticosteroid exposur...

A salivary protein panel for detecting malignant transformation of oral leukoplakia.

Oral leukoplakia (OLK) is the most common oral potentially malignant disorder and carries a lifetime risk of transformation to oral squamous cell carc...

Clock gene signature predicts insomnia and links to sleep/circadian parameters.

Chronic Insomnia is a prevalent sleep disorder that remains difficult to diagnose due to subjective symptoms and heterogeneous presentations. The most...

BHOD: a bone health optimized dietary pattern designed for osteoporosis prevention.

Existing dietary patterns were not specifically designed to target osteoporosis and lack the precision required for effective prevention. We aimed to ...

Preclinical and Virtual Models of Mucosal Melanoma: Bridging Translational Gaps in a Rare and Lethal Cancer.

Mucosal melanoma (MM) is a rare and lethal subtype of melanoma, disproportionately affecting Asian populations and exhibiting distinct clinicopatholog...

Advances and prospects in cell therapy for cancer: explorations from T cells to stem cells.

The increasing global burden of cancer necessitates innovative therapeutic strategies. Cell therapy represents a major breakthrough in oncology, evolv...

Metabolic reprogramming of myeloid cells in cancer: from lactate-NAMPT axis to AI-guided therapeutics.

Myeloid cells-including macrophages, monocytes, neutrophils and dendritic cells-are metabolically plastic sentinels that shape the tumor microenvironm...

Bone Mineral Density Loss After Kidney Transplantation: Metabolic Determinants, Diagnostic Approaches, and Preventive Strategies.

Mineral and bone disease (MBD) is a frequent complication after solid organ transplantation. The rapid decline in bone mineral density (BMD) during th...

Integrated Multi-Omics Identification of Novel Diagnostic Biomarkers and Immunometabolic Therapeutic Targets in Osteoporosis via Machine Learning.

INTRODUCTION: Osteoporosis (OP) is a multifactorial skeletal disorder marked by reduced bone mass and microstructural deterioration. We investigated p...

Noninvasive and minimally invasive approaches for acute and chronic stress assessment in dairy cattle.

In modern dairy production, cattle are routinely exposed to a wide range of management-related, environmental, and biological stressors all of which c...

Artificial Intelligence for Opportunistic Screening for Osteoporosis and Spine Fractures Using Computed Tomography: A Systematic Review and Meta-Analysis.

OBJECTIVE: Osteoporosis is a major global health burden and often remains undiagnosed until fragility fractures occur. Dual-energy x-ray absorptiometr...

The future of DXA: How AI is transforming bone health diagnostics.

Dual-energy X-ray absorptiometry (DXA) remains the clinical gold standard for assessing bone mineral density (BMD), guiding diagnosis and therapeutic ...

OracleScreen-LILRB4: machine learning-guided discovery of myeloid immune checkpoint binders validated in patient-derived cells.

The identification of small molecule modulators of immune checkpoint proteins remains a significant challenge in drug discovery due to the flat, featu...

Deep Learning for Opportunistic Vertebral Fracture Detection on Routine Thoraco-abdominal Computed Tomography: A Systematic Review and Hierarchical Summary Receiver Operating Characteristic Meta-analysis of Patient-level Diagnostic Test Accuracy.

RATIONALE AND OBJECTIVES: Vertebral fractures (VFs) are common, clinically important, and often missed on routine chest or abdominal computed tomograp...

Mapping the intellectual landscape of malaria drug repurposing: a systematic analysis of the 51 most cited studies.

BACKGROUND: The escalating threat of Plasmodium falciparum resistance to artemisinin-based therapies necessitates accelerated drug development. Drug r...

Identifying coagulation-related biomarkers in steroid-induced osteonecrosis of the femoral head: implications for early diagnosis and treatment.

Steroid-induced osteonecrosis of the femoral head (SONFH) is closely associated with coagulation dysfunction, but its molecular mechanisms remain inco...

Differential Effects of Prenatal Depression and Anxiety on Infant Sleep: Dual-Pathway Mechanisms Involving the HPA Axis and the Gut-Brain Axis.

STUDY OBJECTIVES: Prenatal psychological distress is associated with adverse offspring outcomes, including infant sleep disturbances and altered gut m...

Myokines in exercise‑mediated bone homeostasis: Molecular signaling mechanisms and therapeutic implications for bone disorders (Review).

Skeletal muscle functions as an endocrine organ, secreting myokines that mediate interorgan communication with bone. Exercise‑induced myokines regulat...

Machine Learning Algorithms to Accelerate Etiological Diagnosis of Congenital Disorders of Adrenal Steroidogenesis.

BACKGROUND: Early and accurate etiological diagnosis of congenital disorders of adrenal steroidogenesis (CDAS) is critical as timely targeted manageme...