RESUMEN
The metabolic properties of leukemia-initiating cells (LICs) in distinct bone marrow niches and their relationships to cellfate determinations remain largely unknown. Using a metabolic imaging system with a highly responsive genetically encoded metabolic sensor, SoNar, we reveal that SoNar-high cells are more glycolytic, enriched for higher LIC frequency, and develop leukemia much faster than SoNar-low counterparts in an MLL-AF9-induced murine acute myeloid leukemia model. SoNar-high cells mainly home to and locate in the hypoxic endosteal niche and maintain their activities through efficient symmetric division. SoNar can indicate the dynamics of metabolic changes of LICs in the endosteal niche. SoNar-high human leukemia cells or primary samples have enhanced clonogenic capacities in vitro or leukemogenesis in vivo. PDK2 fine-tunes glycolysis, homing, and symmetric division of LICs. These findings provide a unique angle for the study of metabolisms in stem cells, and may lead to development of novel strategies for cancer treatment.
RESUMEN
The maternal components are constantly changing with gestational weight gains during pregnancy. Body composition analysis is a method for evaluating the maternal body composition accurately during pregnancy, models of which consist of fat mass, extracellular water, intracellular water, inorganic salts and protein basically. Among various methods to execute body composition analysis, bioelectrical impedance analysis is an important method for pregnant women. Many studies have reported about clinical applications based on correlations between maternal individual components and gestational diseases. This article reviews the researches on clinical applications of body composition analysis to pregnant women.