AI Article Synopsis
Article Abstract
Using morphometry, optic and structural analysis and immune histochemistry structural manifestations of adaptive mechanisms in placenta of hemo- and desmochorial type during gestation were studied. Signs of similarity and diversity of realization of adaptive mechanisms at tissue and cellular level were found. Reduction in placental barrier thickness and number of surface capillaries and also activation of trophoblastic elements genome relate to similar signs. Formation of terminal villi is a divergent adaptive mechanism in hemochorial placenta, while intensification of migration of main functionally active cells from trophoblast lining to mother tissue is those in desmochorial placenta.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
An insight into the genome-wide analysis of bacterial defense mechanisms in a uropathogenic Morganella morganii isolate from Bangladesh.
PLoS One
January 2025
Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.
The gram-negative, facultative anaerobic bacterium Morganella morganii is linked to a number of illnesses, including nosocomial infections and urinary tract infections (UTIs). A clinical isolate from a UTI patient in Bangladesh was subjected to high-throughput whole genome sequencing and extensive bioinformatics analysis in order to gather knowledge about the genomic basis of bacterial defenses and pathogenicity in M. morganii.
View Article and Find Full Text PDFMultilevel gene expression changes in lineages containing adaptive copy number variants.
Mol Biol Evol
January 2025
Center for Genomics and Systems Biology, Department of Biology, New York University.
Copy-number variants (CNVs) are an important class of genetic variation that can mediate rapid adaptive evolution. Whereas CNVs can increase the relative fitness of the organism, they can also incur a cost due to the associated increased gene expression and repetitive DNA. We previously evolved populations of Saccharomyces cerevisiae over hundreds of generations in glutamine-limited (Gln-) chemostats and observed the recurrent evolution of CNVs at the GAP1 locus.
View Article and Find Full Text PDFMechanisms of Antitumor Activity of Low Doses of Radiation Associated with Activation of Cells' Defense System.
Dokl Biochem Biophys
January 2025
State Research Center-Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency, 123098, Moscow, Russia.
Background: The effects of ionizing radiation (IR) involve a highly orchestrated series of events in cells, including DNA damage and repair, cell death, and changes in the level of proliferation associated with the stage of the cell cycle. A large number of existing studies in literature have examined the activity of genes and their regulators in mammalian cells in response to high doses of ionizing radiation. Although there are many studies, the research in effect of low doses of ionizing radiation remains limited.
View Article and Find Full Text PDFPathway from Earthquake Fear to Post-Traumatic Growth: The Roles of Resilience, Self-Efficacy, and Positive Childhood Memories Among Survivors of the 2023 Türkiye Earthquakes.
Psychiatr Q
January 2025
Necmettin Erbakan University, Toros Mah. Universite Cad., Ereğli, Konya, 42310, Turkey.
Posttraumatic growth is essential for understanding how individuals process trauma and adapt psychologically in the aftermath of seismic events. This study aims to explore the mediating effects of resilience, self-efficacy, and positive childhood memories on the relationship between fear of earthquakes and post-traumatic growth among survivors of the 2023 Türkiye earthquake (N = 423). The results of a multi-mediation analysis indicated that earthquake fear indirectly influenced post-traumatic growth through resilience, self-efficacy, and positive childhood memories.
View Article and Find Full Text PDFAdaptive ensemble loss and multi-scale attention in breast ultrasound segmentation with UMA-Net.
Med Biol Eng Comput
January 2025
Artificial Intelligence Lab, School of Computer and Information Sciences, University of Hyderabad, Hyderabad, 500046, India.
The generalization of deep learning (DL) models is critical for accurate lesion segmentation in breast ultrasound (BUS) images. Traditional DL models often struggle to generalize well due to the high frequency and scale variations inherent in BUS images. Moreover, conventional loss functions used in these models frequently result in imbalanced optimization, either prioritizing region overlap or boundary accuracy, which leads to suboptimal segmentation performance.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!