Using Convolutional Neural Networks to Measure the Physiological Age of Caenorhabditis elegans.

Caenorhabditis elegans (C. elegans) is a popular and excellent model for studies of aging due to its short lifespan. Methods for precisely measuring the physiological age of C.

Gene expression profiling suggests a pathological role of human bone marrow-derived mesenchymal stem cells in aging-related skeletal diseases.

Aging is associated with bone loss and degenerative joint diseases, in which the aging of bone marrow-derived mesenchymal stem cell (bmMSC)[1] may play an important role. In this study, we analyzed the gene expression profiles of bmMSC from 14 donors between 36 and 74 years old, and obtained age-associated genes (in the background of osteoarthritis) and osteoarthritis-associated genes (in the background of old age). Pathway analysis of these genes suggests that alterations in glycobiology might play an important role in the aging of human bmMSC.

Hypoxia-inducible factor-1alpha regulates matrix metalloproteinase-1 activity in human bone marrow-derived mesenchymal stem cells.

We examined the mRNA levels of hypoxia-inducible factor-1alpha (HIF-1alpha) in bone marrow mesenchymal stem cells (bmMSCs) of eight osteoarthritis patients. BmMSC-1, expressing higher HIF-1alpha mRNA and protein than bmMSC-5, elicited higher matrix metalloproteinase-1 (MMP1) activity and stronger invasive capacity. In vitro invasion assays and quantitative PCR analyses showed that targeted inhibition of HIF-1alpha in bmMSC-1 decreased its invasion and expressions of MMP1 and MMP3, whereas overexpression of HIF-1alpha in bmMSC-5 increased its invasion and expressions of MMP1 and MMP3.