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| http://dx.doi.org/10.3389/fonc.2023.1170115 | DOI Listing |
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BLIMP-1-dependent differentiation of T follicular helper cells into Foxp3 T regulatory type 1 cells.
Front Immunol
March 2025
Institut D'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.
T-regulatory-type-1 (TR1) cells are a subset of interleukin-10-producing but Foxp3 Treg cells that arise in response to chronic antigenic stimulation. We have shown that systemic delivery of autoimmune disease-relevant peptide-major histocompatibility complex class II (pMHCII)-coated nanoparticles (pMHCII-NP) triggers the formation of large pools of disease-suppressing Foxp3 TR1 cells from cognate T-follicular helper (TFH) cell precursors. Here we show that, upon treatment withdrawal, these Foxp3 TR1 cells spontaneously differentiate into a novel immunoregulatory Foxp3 TR1 subset that inherits epigenetic and transcriptional hallmarks of their precursors, including clonotypic T-cell receptors, and is distinct from other Foxp3 Treg subsets.
View Article and Find Full Text PDFHigh-grade serous ovarian carcinoma (HGSOC) is one of the deadliest malignancies in female population and the cause of 70% of all ovarian cancer-related deaths. Among its hallmarks, the fluid accumulation in the peritoneal cavity, or ascites, is a peculiar pathological sign during late stages and in recurrent patients. Besides cancer cells, ascitic fluids contain a heterogeneous cellular composition, representing a precious source to dissect molecular mechanisms underlying invasion and metastatization or find new biomarkers to predict therapy response.
View Article and Find Full Text PDFMenopause part I: Vasomotor symptoms (I).
Taiwan J Obstet Gynecol
March 2025
Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Female Cancer Foundation, Taipei, Taiwan; Department of Medicine, Cheng-Hsin General Hospital, Taipei, Taiwan. Electronic address:
Menopause, an aged process due to loss of permanent ovarian function (mainly decreased production of estrogen) without another pathological or physiological cause becomes one of the most health issues in the world. Vasomotor symptoms (VMS) is a hallmark of menopause, occurring in up to 80 % of women experiencing and persisting for over seven years with significant negative impacts on physical, psychological, social, and overall wellbeing. Conventionally, menopause hormone therapy (MHT) is considered the most effective therapeutic opinion for many years based on the fact as "deficiency of estrogen"; however, the ratio of benefits and risk is highly debated and always in concern.
View Article and Find Full Text PDFMitochondrial dysfunction is a hallmark of woody breast myopathy in broiler chickens.
Front Physiol
February 2025
Center of Excellence for Poultry Science, Division of Agriculture, University of Arkansas, Fayetteville, AR, United States.
The woody breast (WB) myopathy poses significant economic and welfare concerns to the poultry industry, however, there is no effective strategy to mitigate this pathology due to its unknown etiology. After showing previously that hypoxia is a key factor in WB progression, we used here various techniques demonstrating dysregulated mitochondria (morphology, biogenesis, tethering, function, and bioenergetics) in WB-affected muscles and in hypoxic myoblasts compared to healthy tissues and normoxic cells, respectively. The increased levels of calcium (Ca) in both WB-affected tissues and hypoxic myoblasts suggested that mitochondrial Ca overload is likely a leading cause for mitochondrial dysfunction that merits further in-depth investigation.
View Article and Find Full Text PDFContrastive self-supervised learning for neurodegenerative disorder classification.
Front Neuroinform
February 2025
German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Introduction: Neurodegenerative diseases such as Alzheimer's disease (AD) or frontotemporal lobar degeneration (FTLD) involve specific loss of brain volume, detectable using T1-weighted MRI scans. Supervised machine learning approaches classifying neurodegenerative diseases require diagnostic-labels for each sample. However, it can be difficult to obtain expert labels for a large amount of data.
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