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Cat Lifespan - Crossref

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Last Updated: 10 August 2022

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Saccharomyces cerevisiae displays an increased growth rate and an extended replicative lifespan when grown under respiratory conditions in the presence of bacteria

Saccharomyces cerevisiae individual cells are limited to a limited replicative lifespan, which is also known as the replicative lifespan. In the presence of a variety of bacteria, we have found that both the growth rate and average replicative lifespan of S. cerevisiae cells is significantly increased. While growing near strains of Escherichia coli that lack genes required for the production of compounds used for quorum detection or production of the siderophore enterobactin, the lifespan extension in yeast was also observed.

Source link: https://doi.org/10.1139/cjm-2017-0285


Random forest classification for predicting lifespan-extending chemical compounds

Pharmaceutical therapies that slow down ageing and delay the onset of age-related diseases is a rapidly growing research area. The aim of this research was to develop a machine learning model based on the drugAge database's results to determine whether a chemical compound would prolong the life of the worm species Caenorhabditis elegans. Five predictive models were constructed using the random forest algorithm with molecular fingerprints and/or molecular descriptors as features, with molecular fingerprints and/or molecular descriptors as variables. In the test set, the best performing classifier, which was developed using molecular descriptors, had an area under the curve score of 0. 815 for catering the chemicals. Descriptors related to atom and bond numbers, topological, and partial charge properties were among the top 30 most popular features. The chemical compounds of the screening database with a definite probability of u2265 0. 8 percent for increasing the lifespan of Caenorhabditis elegans were broadly divided into flavonoids, fatty acids, and conjugates, as well as organooxygen compounds.

Source link: https://doi.org/10.21203/rs.3.rs-118087/v1


Random forest classification for predicting lifespan-extending chemical compounds

This research was designed to develop a machine learning model based on the DrugAge database to determine if a chemical compound would prolong the lifespan of Caenorhabditis elegans. Using the Gini importance measure of the random forest algorithm, the model's attributes were ranked. The chemical components of the screening database with a definite likelihood of u2265. 80 for increasing the lifespan of Caenorhabditis elegans were broadly divided into flavonoids, fatty acids, and conjugates, as well as organooxygen compounds.

Source link: https://doi.org/10.21203/rs.3.rs-118087/v2


Plasma membrane damage limits replicative lifespan in yeast and induces premature senescence in human fibroblasts

Abstract: Any cell type is affected by environmental change and cell-autonomous activities, including plasma membrane damage. We developed a simple PMD-damaging assay with a detergent and a large yeast genome-wide screen in order to determine the genes essential for PMD response. The endosomal sorting complexes that are essential for transport genes are the top hits in the screen, encoding the well-described plasma membrane repair proteins in eukaryotes, encoding the well-described plasma membrane repair proteins. In our 48 hits, the replicative lifespan regulator genes are found, which is unexpectedly. These findings indicate that PMD limits replicative lifespan in budding yeast. Moreover, we find that PMD promotes premature senescence via the Ca 2+ -p53 axis, but not the main senescence pathway, ATM/ATR pathway. Our study finds that PMD limits cell life in two distinct eukaryotic cell types and highlights underappreciated yet ubiquitous senescent cell subtype, namely PMD-dependent senescent cells.

Source link: https://doi.org/10.1101/2021.03.26.437120


An aging-independent replicative lifespan in a symmetrically dividing eukaryote

The reproduction of cell divisions before death, as the number of cell divisions before death, has aided in our understanding of the cellular ageing process. However, little is known about aging and longevity in symmetrically divided eukaryotic cells, because the majority of previous studies have used budding yeast for RLS studies. We find that fission yeast does not age and that cell differentiation and reproduction lifespan can be uncoupled in a eukaryotic cell using a quantitative model to analyze these findings.

Source link: https://doi.org/10.7554/elife.20340


Immobilization of Superoxide Dismutase in Mesoporous Silica and its Applications in Strengthening the Lifespan and Healthspan of Caenorhabditis elegans

SOD and SOD mimics' direct application, so mounting delivery systems have been developed for the effective applications of SOD to achieve antioxidant therapy due to the flaws in direct application of SOD and SOD mimics. SOD was immobilized on MSNs using a physical absorption scheme to build the nanosystem SOD@MSN. Herein, SOD was immobilized on MSNs using a physical absorption technique to build the nanosystem SOD@MSN. The nanosystem could not only be efficiently digested by C. elegans, but it could also shield the nematode against external stress, thus prolonging the life and health of C. elegans. Accordingly, SOD@MSN may be used as a promising anti-aging therapy drug.

Source link: https://doi.org/10.3389/fbioe.2022.795620

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

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* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions