IGFBP4 is upregulated in granulosa cells of aged ovaries across monkeys, mice, and humans. It inhibits YAP signaling, thereby suppressing cell proliferation and contributing to follicular dysfunction. Deletion of Igfbp4 in granulosa cells enhances ovulatory output, improves hormone profiles, and reproductive performance in aged female mice, suggesting ...
Qianhui Hu +8 more
wiley +1 more source
Artificial Intelligence in Cardiovascular Ultrasound: Clinical Applications, Foundation Models, and the Path to Precision Cardiology. [PDF]
Tupu AE +4 more
europepmc +1 more source
Rab1A Promotes Hepatic Steatosis by Suppressing Mitophagy via the Raf‐1/ERK1/2/PINK1 Signaling Axis
Why does fat accumulate in the liver? Our study reveals Rab1A as the molecular switch that silences the cell's mitochondrial cleanup crew. Turning Rab1A off reactivates mitophagy, clears excess fat, and reverses fatty liver disease in mice—offering a promising new therapeutic target for MASLD, a growing global health challenge.
Li Zhang +9 more
wiley +1 more source
The Role of the KLF Family in T-Cell-Mediated Regulation of Cardiovascular Diseases: Molecular Mechanisms and Therapeutic Prospects. [PDF]
Wang S, Zhu X, Li N, Ouyang K, Liao Z.
europepmc +1 more source
Proteinase-Activated Receptor 2 (PAR2) Deficiency and Cardiovascular Regulation: Context-Dependent Effects on Inflammation and Fibrosis. [PDF]
Viola SA +5 more
europepmc +1 more source
Resting Heart Rate Association with Cardiovascular Morbidity and Mortality and All-Cause Mortality According to Cluster of Cardiovascular Risk Factors-A Prospective Cohort Study with More than 20 Years of Follow-Up. [PDF]
Carbayo-Herencia JA +7 more
europepmc +1 more source
Unravelling the Therapeutic Potential of Cysteine for Cardiovascular Health. [PDF]
Zainalabidin S +7 more
europepmc +1 more source
Multichamber Myocardial Strain for Cardiovascular Risk Stratification in Liver Transplant Recipients Using Interpretable Machine Learning. [PDF]
Park WD +8 more
europepmc +1 more source
Predicting treatment-related cardiovascular risks in breast cancer patients: development and validation of an interpretable machine learning model. [PDF]
Wang L, Yan R, Zhu X, Yu J, Cui F.
europepmc +1 more source

