Results 161 to 170 of about 13,204 (244)
Senolytics alleviate cyclophosphamide-induced premature ovarian insufficiency by eliminating senescent cells. [PDF]
Su H, Ma R, Su D, Tan C, Zhu Y, Yang X.
europepmc +1 more source
Abstract Antibody–drug conjugates (ADCs) represent a major advance in precision oncology, combining the selectivity of monoclonal antibodies with the cytotoxic potency of chemotherapy. By enabling targeted intracellular delivery of highly potent payloads, ADCs aim to maximize antitumor activity while minimizing systemic toxicity. This review summarizes
André Mansinho +3 more
wiley +1 more source
Diagnostic challenges in suspected premature ovarian insufficiency
Eleni Armeni
doaj +1 more source
Acupuncture for Premature Ovarian Insufficiency: A Randomized, Non-Inferiority Protocol with Exploratory Epigenetics Analysis. [PDF]
Luo Y +7 more
europepmc +1 more source
Estrogen modulates β‐AR signaling in a context‐dependent manner influenced by species, sex, age, tissue, and vascular health, highlighting challenges in translating findings from experimental models to human cardiovascular physiology. ABSTRACT Cardiovascular diseases remain the leading global cause of morbidity and mortality, with notable sex‐specific ...
Basant Elsaid +5 more
wiley +1 more source
Thyroid Hormone in Women with Premature Ovarian Insufficiency: A Case-Control Study. [PDF]
Zhang Y +6 more
europepmc +1 more source
Epigenetic Perspectives on Maternal Gut Microbiota's Impact on Embryonic and Fetal Development
This review summarizes how maternal health and nutrition shape gut microbiota via epigenetics to regulate embryonic development. It highlights microbiota‐embryo interactions, disruption by prenatal chemical exposures, and personalized nutrition for disease prevention, offering novel insights and therapeutic targets.
Shoulong Xu +6 more
wiley +1 more source
Glycosylation in premature ovarian insufficiency: from genetic etiology to precision diagnostics. [PDF]
Feng C, Qi N, Feng R, Liu Y, Yuan X.
europepmc +1 more source
ABSTRACT Background and Aims Metabolic syndrome (MetS) is associated with increased risks of cardiovascular disease and type 2 diabetes, with recent global prevalence estimates of approximately 28%–31% in adults. Artificial intelligence (AI) and machine learning offer potential to improve risk stratification beyond conventional statistical methods ...
Aynaz Esmailzadeh +4 more
wiley +1 more source
RNA exosome component EXOSC10 variants identified in a patient with premature ovarian insufficiency†. [PDF]
Kline BL +15 more
europepmc +1 more source

