Results 131 to 140 of about 163,518 (339)
Dual role of estrogens in endometrial cancer
Zdravniški Vestnik, 2014 Increased local concentrations of estrogens are a well-known risk factor for endometrial cancer. Estrogens can act as mitogens via the estrogen receptors, and by forming oxidative metabolites they can act as cancer initiators.
Neli Hevir Kene, Tea Lanišnik Rižner
doaj
BMC MedicineBackground It has been repeatedly shown that men infected by SARS-CoV-2 face a twofold higher likelihood of dying, being hospitalized or admitted to the intensive care unit compared to women, despite taking into account relevant confounders.
Evangelia Elenis +7 more
doaj +1 more source
Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis [PDF]
Volume 99, January 2025, 106899Early diagnosis of breast cancer (BC) significantly contributes to reducing the mortality rate worldwide. The detection of different factors and biomarkers such as Estrogen receptor (ER), Progesterone receptor (PR), Human epidermal growth factor receptor 2 (HER2) gene, Histological grade (HG), Auxiliary lymph node (ALN) status, and Molecular subtype ...
arxiv +1 more source
Advanced Science, EarlyView.Testosterone enhances Aβ‐induced autophagy in microglia via the non‐genomic testosterone receptor GPRC6A, promoting Aβ clearance by suppressing ERK phosphorylation and inhibiting mTOR activation. In male 5xFAD mice, testicular removal reduces microglial autophagy and Aβ clearance, which is restored by testosterone.
Haiyan Du +8 more
wiley +1 more source
Coincident Frequencies and Relative Phases Among Female-Brain Signals and Progesterone-Estrogen levels [PDF]
arXiv, 2007 Fourier transform has become a basic tool for analyzing biological signals 1,2,3. Mostly a fast Fourier transform is computed for a finite sequence of data sample 4. This is the standard way apparatuses and modern computerized technology provide information, according with their frequency range, of the well known brain signals Delta, Theta, Alpha 1 ...
arxiv
Machine Learning‐Enabled Drug‐Induced Toxicity Prediction
Advanced Science, EarlyView.Unexpected toxicity accounts for 30% of drug development failures. This review highlights ML innovations in predicting drug‐induced toxicity, emphasizing comparative analyses, interpretable algorithms, and multi‐source data integration. It categorizes toxicity types, summarizes ML models, and organizes key databases, offering strategies to address ...
Changsen Bai +5 more
wiley +1 more source
Ecotoxicology and Environmental SafetyEstrogens have attracted extensive attention because of their harmful effects on organisms such as endocrine disturbance and reproductive toxicity. This study investigated the spatial and temporal distribution and ecological risk assessment of 7 targeted
Jiamei Wang +8 more
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Advanced Science, EarlyView.The target of rapamycin (TOR) complex is a central plant growth regulator. Here, the protein–protein interactions underlying its various functions are mapped by pupylation‐based proximity‐labeling in Arabidopsis, using TOR complex subunits LST8‐1 and RAPTOR1, alongside TOR inhibitor FK506‐binding protein, as baits.
Shuai Zheng +9 more
wiley +1 more source
Algal extracellular organic matter mediated photocatalytic degradation of estrogens
Ecotoxicology and Environmental Safety, 2021 Estrogens are among the most concerned emerging contaminants in the wastewater treatment effluent due to their sexual disruption in aquatic wildlife. The use of microalgae for secondary wastewater effluent polishing is a promising approach due to the ...
Pei-Hsun Wu +4 more
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Health effects in fish of long-term exposure to effluents from wastewater treatment works [PDF]
, 2006 The effects of simple mixtures of chemicals, with similar mechanisms of action, can be predicted using the concentration addition model (CA). The ability of this model to predict the estrogenic effects of more complex mixtures such as effluent discharges,
Babich H +13 more
core +2 more sources