Modulation of Human Cardiac Progenitors via Hypoxia-ERK Circuit Improves their Functional Bioactivities

Recent accumulating studies have reported that hypoxic preconditioning during ex vivo expansion enhanced the self-renewal or differentiation of various stem cells and provide an important strategy for the adequate modulation of oxygen in culture conditions, which might increase the functional bioactivity of these cells for cardiac regeneration. In this study, we proposed a novel priming protocol to increase the functional bioactivity of cardiac progenitor cells (CPCs) for the treatment of cardiac regeneration. Firstly, patient-derived c-kit+ CPCs isolated from the atrium of human hearts by enzymatic digestion and secondly, pivotal target molecules identified their differentiation into specific cell lineages. We observed that hCPCs, in response to hypoxia, strongly activated ERK phosphorylation in ex vivo culture conditioning. Interestingly, pre-treatment with an ERK inhibitor, U0126, significantly enhanced cellular proliferation and tubular formation capacities of CPCs. Furthermore, we observed that hCPCs efficiently maintained the expression of the c-kit, a typical stem cell marker of CPCs, under both hypoxic conditioning and ERK inhibition. We also show that hCPCs, after preconditioning of both hypoxic and ERK inhibition, are capable of differentiating into smooth muscle cells (SMCs) and cardiomyocytes (CMs), but not endothelial cells (ECs), as demonstrated by the strong expression of alpha-SMA, Nkx2.5, and cTnT, respectively. From our results, we conclude that the functional bioactivity of patient-derived hCPCs and their ability to differentiate into SMCs and CMs can be efficiently increased under specifically defined culture conditions such as short-term hypoxic preconditioning and ERK inhibition.

Study on classification and coding for public health information / 中华预防医学杂志

<p><b>OBJECTIVE</b>To improve data unified descriptions, identification, query and management in public health service by means of establishing public health information classification framework and coding system.</p><p><b>METHODS</b>Data sets created from all fields in public health, scientific research, health management were classified into four layers of frameworks primary class, sub-class, main class and subject areas by means of integration of vertical with horizontal classifications. All these classes were further abstracted, merged and coded by individual characteristics in public health systems.</p><p><b>RESULTS</b>(1) 4 subject areas in diseases control and prevention, public health service, public health management and sanitation surveillance were established including a total of 18 main classes, 49 sub-classes and 205 primary classes. (2) 7 digits and 4 segments (area code, code, disease classification code) were designed including a total of 30 digits multi-classification codes. The purpose of data effectively classifying and coding by application of 50 basic data sets in 9 areas fo public health has been realized.</p><p><b>CONCLUSION</b>We believe that this method is of efficiency in data classification and code for public health information communication.</p>