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Graphene for Controlled and Accelerated Osteogenic Differentiation of Human Mesenchymal Stem Cells
Nayak, Tapas R.,Andersen, Henrik,Makam, Venkata S.,Khaw, Clement,Bae, Sukang,Xu, Xiangfan,Ee, Pui-Lai R.,Ahn, Jong-Hyun,Hong, Byung Hee,Pastorin, Giorgia,Ö,zyilmaz, Barbaros American Chemical Society 2011 ACS NANO Vol.5 No.6
<P>Current tissue engineering approaches combine different scaffold materials with living cells to provide biological substitutes that can repair and eventually improve tissue functions. Both natural and synthetic materials have been fabricated for transplantation of stem cells and their specific differentiation into muscles, bones, and cartilages. One of the key objectives for bone regeneration therapy to be successful is to direct stem cells’ proliferation and to accelerate their differentiation in a controlled manner through the use of growth factors and osteogenic inducers. Here we show that graphene provides a promising biocompatible scaffold that does not hamper the proliferation of human mesenchymal stem cells (hMSCs) and accelerates their specific differentiation into bone cells. The differentiation rate is comparable to the one achieved with common growth factors, demonstrating graphene’s potential for stem cell research.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancac3/2011/ancac3.2011.5.issue-6/nn200500h/production/images/medium/nn-2011-00500h_0004.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nn200500h'>ACS Electronic Supporting Info</A></P>
Fernandez, Maria Luz,Jones, Jennifer J.,Ackerman, Daniela,Barona, Jacqueline,Calle, Mariana,Comperatore, Michael V.,Kim, Jung-Eun,Andersen, Catherine,Leite, Jose O.,Volek, Jeff S.,McIntosh, Mark,Kalyn The Korean Nutrition Society 2010 Nutrition Research and Practice Vol. No.
Both metabolic syndrome (MetS) and elevated LDL cholesterol (LDL-C) increase the risk for cardiovascular disease (CVD). We hypothesized that low HDL cholesterol (HDL-C) would further increase CVD risk in women having both conditions. To assess this, we recruited 89 women with MetS (25-72 y) and LDL-C ${\geq}$ 2.6 mmol/L. To determine whether plasma HDL-C concentrations were associated with dietary components, circulating atherogenic particles, and other risk factors for CVD, we divided the subjects into two groups: high HDL-C (H-HDL) (${\geq}$ 1.3 mmol/L, n=32) and low HDL-C (L-HDL) (< 1.3 mmol/L, n=57). Plasma lipids, insulin, adiponectin, apolipoproteins, oxidized LDL, Lipoprotein(a), and lipoprotein size and subfractions were measured, and 3-d dietary records were used to assess macronutrient intake. Women with L-HDL had higher sugar intake and glycemic load (P< 0.05), higher plasma insulin (P< 0.01), lower adiponectin (P< 0.05), and higher numbers of atherogenic lipoproteins such as large VLDL (P < 0.01) and small LDL (P<0.001) than the H-HDL group. Women with L-HDL also had larger VLDL and both smaller LDL and HDL particle diameters (P<0.001). HDL-C was positively correlated with LDL size (r=0.691, P<0.0001) and HDL size (r=0.606, P<0.001), and inversely correlated with VLDL size (r=-0.327, P<0.01). We concluded that L-HDL could be used as a marker for increased numbers of circulating atherogenic lipoproteins as well as increased insulin resistance in women who are already at risk for CVD.
Achieving One Billion Key-Value Requests per Second on a Single Server
Sheng Li,Hyeontaek Lim,Lee, Victor W.,Jung Ho Ahn,Kalia, Anuj,Kaminsky, Michael,Andersen, David G.,Seongil O,Sukhan Lee,Dubey, Pradeep IEEE 2016 IEEE micro Vol.36 No.3
<P>Distributed in-memory key-value stores (KVSs) have become a critical data-serving layer in cloud computing and big data infrastructure. Unfortunately, KVSs have demonstrated a gap between achieved and available performance, QoS, and energy efficiency on commodity platforms. Two research thrusts have focused on improving key-value performance: hardware-centric research has started to explore specialized platforms for KVSs, and software-centric research revisited the KVS application to address fundamental software bottlenecks. Unlike prior research focusing on hardware or software in isolation, the authors aimed to full-stack (software through hardware) architect high-performance and efficient KVS platforms. Their full-system characterization identifies the critical hardware/software ingredients for high-performance KVS systems and suggests optimizations to achieve record-setting performance and energy efficiency: 120~167 million requests per second (RPS) on a single commodity server. They propose a future many-core platform and via detailed simulations demonstrate the capability of achieving a billion RPS with a single server platform.</P>
Maria Luz Fernandez,Jennifer J Jones,Daniela Ackerman,Jacqueline Barona,Mariana Calle,Michael V Comperatore,Jung-Eun Kim,Catherine Andersen,Jose O Leite,Jeff S Volek,Mark McIntosh,Colleen Kalynych,Wad 한국영양학회 2010 Nutrition Research and Practice Vol.4 No.6
Both metabolic syndrome (MetS) and elevated LDL cholesterol (LDL-C) increase the risk for cardiovascular disease (CVD). We hypothesized that low HDL cholesterol (HDL-C) would further increase CVD risk in women having both conditions. To assess this, we recruited 89 women with MetS (25-72 y) and LDL-C ≥ 2.6 mmol/L. To determine whether plasma HDL-C concentrations were associated with dietary components, circulating atherogenic particles, and other risk factors for CVD, we divided the subjects into two groups: high HDL-C (H-HDL) (≥ 1.3 mmol/L, n = 32) and low HDL-C (L-HDL) (< 1.3 mmol/L, n = 57). Plasma lipids, insulin, adiponectin, apolipoproteins, oxidized LDL, Lipoprotein(a), and lipoprotein size and subfractions were measured, and 3-d dietary records were used to assess macronutrient intake. Women with L-HDL had higher sugar intake and glycemic load (P < 0.05), higher plasma insulin (P < 0.01), lower adiponectin (P < 0.05), and higher numbers of atherogenic lipoproteins such as large VLDL (P < 0.01) and small LDL (P < 0.001) than the H-HDL group. Women with L-HDL also had larger VLDL and both smaller LDL and HDL particle diameters (P < 0.001). HDL-C was positively correlated with LDL size (r = 0.691, P < 0.0001) and HDL size (r = 0.606, P < 0.001), and inversely correlated with VLDL size (r = -0.327, P < 0.01). We concluded that L-HDL could be used as a marker for increased numbers of circulating atherogenic lipoproteins as well as increased insulin resistance in women who are already at risk for CVD.