Publications by authors named "O N Kholod"
Article Synopsis
- The study investigates how maternal infection with SARS-CoV-2 affects immune responses in the placenta and its implications for fetal brain development, particularly focusing on Hofbauer cells (HBCs), which act as fetal placental macrophages.
- Researchers analyzed HBCs from term placentas of pregnant individuals who tested positive or negative for SARS-CoV-2, finding notable differences in gene expression and impaired functions like phagocytosis in certain HBC subpopulations.
- The findings indicate that HBCs can be transformed into microglia-like cells, allowing for personalized models to study microglial programming in children affected by maternal SARS-CoV-2 infection.
Article Synopsis
- Maternal infection with SARS-CoV-2 activates immune responses that can adversely affect fetal brain development through fetal brain microglia, which are difficult to study directly.
- Researchers found that Hofbauer cells (HBCs) from pregnancies affected by SARS-CoV-2 show different cellular responses and impaired functions crucial for brain development compared to HBCs from unaffected pregnancies.
- The study suggests that HBCs can be transformed into microglia-like cells, providing a unique opportunity to create personalized models to better understand how maternal infections influence the programming of offspring's brain immune cells.
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited therapeutic options. Although immunotherapy has shown potential in TNBC patients, clinical studies have only demonstrated a modest response. Therefore, the exploration of immunotherapy in combination with chemotherapy is warranted.
View Article and Find Full Text PDF(1) Background: Phenotypic and genotypic heterogeneity are characteristic features of cancer patients. To tackle patients' heterogeneity, immune checkpoint inhibitors (ICIs) represent some the most promising therapeutic approaches. However, approximately 50% of cancer patients that are eligible for treatment with ICIs do not respond well, especially patients with no targetable mutations.
View Article and Find Full Text PDFBackground: Free-text sections of pathology reports contain the most important information from a diagnostic standpoint. However, this information is largely underutilized for computer-based analytics. The vast majority of NLP-based methods lack a capacity to accurately extract complex diagnostic entities and relationships among them as well as to provide an adequate knowledge representation for downstream data-mining applications.
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