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Acupuncture modulates ovarian senescence through metabolic reprogramming: A multi-omics investigation in chemotherapy - induced POF model

5 months ago
Premature ovarian failure (POF) is a common female endocrine disorder in women, and there is currently no effective pharmacological treatment available. Acupuncture, an important component of traditional Chinese medicine, has demonstrated clinical efficacy in improving ovarian function in patients with POF; however, its underlying mechanisms remain unclear. This study systematically investigated the therapeutic mechanisms of acupuncture in cyclophosphamide (CTX)-induced POF through combined...
Wei Dandan

Endothelial sensitivity to pro-fibrotic signals links systemic exposure to pulmonary fibrosis

5 months ago
Pulmonary fibrosis (PF) is a life-threatening condition characterised by excessive extracellular matrix deposition and tissue scarring. While much of PF research has focused on alveolar epithelial cells and fibroblasts, endothelial cells have emerged as active contributors to the disease initiation, especially in the context of systemic exposure to pro-fibrotic substances. Here, we investigate early transcriptomic and secretory responses of human umbilical vein endothelial cells (HUVEC) to...
Lena Möbus

HDAC3-YY1-RAB5A axis remodels AML-supportive niche by modulating mitochondrial homeostasis in bone marrow stromal cells

5 months ago
Recent studies have shown that the interaction between acute myeloid leukemia (AML) and bone marrow stromal cells (BMSCs) plays a vital role in the progression of leukemia and the development of drug resistance, while the underlying mechanisms remain inconclusive. In this study, we found that AML patient-derived BMSCs exhibit a hyperinflammatory phenotype. Histone deacetylase 3 (HDAC3) in BMSCs enhances mitochondrial reactive oxygen species (ROS) production by RAB5A-mediated blockade of...
Chao He

Nuclear morphometrics coupled with machine learning identifies dynamic states of senescence across age

5 months ago
Cellular senescence is an irreversible state of cell cycle arrest with a complex role in tissue repair, aging, and disease. However, inconsistencies in identifying cellular senescence have led to varying conclusions about their functional significance. We developed a machine learning-based approach that uses nuclear morphometrics to identify senescent cells at single-cell resolution. By applying unsupervised clustering and dimensional reduction techniques, we built a robust pipeline that...
Sahil A Mapkar