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This study aimed to identify shared gene expression related to circadian rhythm disruption in polycystic ovary syndrome (PCOS) and non-alcoholic fatty liver disease (NAFLD) to discover common diagnostic biomarkers. Visceral fat RNA samples were collected from 12 PCOS and 14 non-PCOS patients, a sample size representing the clinical situation and sufficient to capture PCOS gene expression profiles. Along with liver transcriptome profiles from NAFLD patients, these data were analyzed to identify crosstalk circadian rhythm-related genes (CRRGs) between the diseases.

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Background: Heterozygous TRPV4 mutations cause a group of skeletal dysplasias characterized by short stature, short trunk, and skeletal deformities.

Objective: The aim of this study is to compare the natural history of clinical and radiologic features of patients with different TRPV4-related skeletal dysplasias.

Materials And Methods: Thirteen patients with a mutation in TRPV4 were included in the study, and 11 were followed for a median of 6.

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HIF-1 and HIF-2 in cancer: structure, regulation, and therapeutic prospects.

Cell Mol Life Sci

January 2025

Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Hypoxia, or a state of low tissue oxygenation, has been characterized as an important feature of solid tumors that is related to aggressive phenotypes. The cellular response to hypoxia is controlled by Hypoxia-inducible factors (HIFs), a family of transcription factors. HIFs promote the transcription of gene products that play a role in tumor progression including proliferation, angiogenesis, metastasis, and drug resistance.

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The incidence of type 2 diabetes has risen globally, in parallel with the obesity epidemic and environments promoting a sedentary lifestyle and low-quality diet. There has been scrutiny of ultra-processed foods (UPFs) as a driver of type 2 diabetes, underscored by their increasing availability and intake worldwide, across countries of all incomes. This narrative review addresses the accumulated evidence from investigations of the trends in UPF consumption and the relationship with type 2 diabetes incidence.

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Development and Validation of KCPREDICT: A Deep Learning Model for Early Detection of Coronary Artery Lesions in Kawasaki Disease Patients.

Pediatr Cardiol

January 2025

Department of Infectious Disease, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, No. 1678 Dongfang Road, Pudong New Area, Shanghai, 200127, China.

Kawasaki disease (KD) is a febrile vasculitis disorder, with coronary artery lesions (CALs) being the most severe complication. Early detection of CALs is challenging due to limitations in echocardiographic equipment (UCG). This study aimed to develop and validate an artificial intelligence algorithm to distinguish CALs in KD patients and support diagnostic decision-making at admission.

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