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Diabetic kidney disease (DKD) is the leading cause of end stage kidney failure worldwide, of which cellular insulin resistance is a major driver. Here, we study key human kidney cell types implicated in DKD (podocytes, glomerular endothelial, mesangial and proximal tubular cells) in insulin sensitive and resistant conditions, and perform simultaneous transcriptomics and proteomics for integrated a
Osteosarcoma treatment comprises pre-surgical chemotherapy followed by radical surgery and further chemotherapy cycles, but the prognosis has been far from satisfactory. No new drugs or treatment modalities have been developed for clinical use in the last four decades. We describe a nano-hydroxyapatite (HA)-based local drug delivery platform for the delivery of doxorubicin (DOX), a cornerstone dru
Objectives: Subarachnoid haemorrhage (SAH) carries a high burden of morbidity and mortality. One in three patients develop vasospasm, which is associated with Delayed Cerebral Ischemia. The pathophysiology includes vasoconstrictor receptor upregulation in cerebral arteries. The protein kinase C – inhibitor RO-31-7549 reduces the expression of several vasoconstrictor receptors and normalizes cerebr
Fibroblasts are adherent cells that maintain tissue homeostasis by sensing and responding to the extracellular matrix (ECM). Focal adhesions (FAs) link these ECM changes to actomyosin dynamics through changes in its composition, influencing cellular response. Septin-7 (Sept-7) has previously been found in FA proteomics studies and shown to influence ECM sensing. Using total internal reflection mic
Background: Intervention trials that have demonstrated significant effects may not always replicate those effects when scaled up. This study aimed to test whether scaling-up a successful cluster randomized trial (the COMMUNICATE study, 9 intervention communities), which promoted population-level physical activity (PA), could promote PA in a broader citywide setting (29 communities) after two years
In this study, the precipitation trend was investigated by linear regression and Mann-Kendall test using the daily data from 1961 to 2010.
In this paper, we extend the control contraction metrics (CCM) approach, which was originally proposed for the universal tracking control of nonlinear systems, to those that evolves on Lie groups. Our idea is to view the manifold as a constrained set that is embedded in Euclidean space, and then propose the sufficient conditions for the existence of a CCM and the associated controller design. Nota
In the following study, using highly-developed remote sensing methodologies, a historical over-ten-year study of the LULC phenomenon of the Khorezm Oasis was conducted. The analysis provides valuable insights about agricultural change, water management policies and the alteration of LULC in the region, including several processes, changes in plants and irrigation levels, population density and gro
We study dynamical optimal transport of discrete time systems (dDOT) with Lagrangian cost. The problem is approached by combining optimal control and Kantorovich duality theory. Based on the derived solution, a first order splitting algorithm is proposed for numerical implementation. While solving partial differential equations is often required in the continuous time case, a salient feature of ou
