Resource Management and Biostatistics Core: Summary/Abstract The primary objective of the Resource Management and Biostatistics Core is to unify and integrate the expertise and science of the investigators and to coordinate activities of the Program to promote maximum efficiency of resource utilization and the highest quality of scientific output. The overarching goal of the Core is to establish and promote effective communications, interactions and work flow among the Program components. To this end, the major responsibility of this Core will be to develop and maintain a centralized web-based system for management and sharing of resources and research data generated in the Program (Aim 1);provide biostatistical support for all the projects and Cores of the Program (Aim 2);facilitate utilization of the Cores and other shared resources at participating institutions (Aim 3);enhance the scientific environment through organization of research meetings and seminars (Aim 4);perform the administrative functions of the Program (Aim 5). The efficient functioning of the Resource Management and Biostatistics Core is a key to the success of this NIDDK Program Project, providing for greater opportunities and capabilities through the unification of a shared commitment to the central scientific theme of the Program than would exist for any of the scientists involved individually.
Resource Management and Biostatistics Core: Narrative The Resource Management and Biostatistics Core have the function of managing the cores and their resources to make sure that there is maximal efficiency and use by investigators in the Program. The core will also be responsible for all areas of communication including scientific and administrative meetings, storing and sharing of data between programs and development and maintenance of a Program website to further enhance communication and sharing of data. The core is also responsible for all biostatistical support for the projects including experimental design and data analysis functions.
|Eibl, Guido; Cruz-Monserrate, Zobeida; Korc, Murray et al. (2018) Diabetes Mellitus and Obesity as Risk Factors for Pancreatic Cancer. J Acad Nutr Diet 118:555-567|
|Zheng, Han; You, Yang; Hua, Meiyun et al. (2018) Chlorophyllin Modulates Gut Microbiota and Inhibits Intestinal Inflammation to Ameliorate Hepatic Fibrosis in Mice. Front Physiol 9:1671|
|Lew, Daniel; Wu, Bechien U; Pandol, Stephen J et al. (2018) Disease Course Differences in Acute Pancreatitis Based on Etiology Using the Pancreatitis Activity Scoring System. Pancreas 47:e40-e41|
|Waldron, Richard T; Su, Hsin-Yuan; Piplani, Honit et al. (2018) Ethanol Induced Disordering of Pancreatic Acinar Cell Endoplasmic Reticulum: An ER Stress/Defective Unfolded Protein Response Model. Cell Mol Gastroenterol Hepatol 5:479-497|
|Waldron, Richard T; Lugea, Aurelia; Gulla, Aiste et al. (2018) Proteomic Identification of Novel Plasma Biomarkers and Pathobiologic Pathways in Alcoholic Acute Pancreatitis. Front Physiol 9:1215|
|Buxbaum, James; Quezada, Michael; Chong, Bradford et al. (2018) The Pancreatitis Activity Scoring System predicts clinical outcomes in acute pancreatitis: findings from a prospective cohort study. Am J Gastroenterol 113:755-764|
|Zhao, Qinglan; Wei, Yi; Pandol, Stephen J et al. (2018) STING Signaling Promotes Inflammation in Experimental Acute Pancreatitis. Gastroenterology 154:1822-1835.e2|
|Biczo, Gyorgy; Vegh, Eszter T; Shalbueva, Natalia et al. (2018) Mitochondrial Dysfunction, Through Impaired Autophagy, Leads to Endoplasmic Reticulum Stress, Deregulated Lipid Metabolism, and Pancreatitis in Animal Models. Gastroenterology 154:689-703|
|Setiawan, Veronica Wendy; Monroe, Kristine; Lugea, Aurelia et al. (2017) Uniting Epidemiology and Experimental Disease Models for Alcohol-Related Pancreatic Disease. Alcohol Res 38:173-182|
|Gorelick, Fred S; Lerch, Markus M (2017) Do Animal Models of Acute Pancreatitis Reproduce Human Disease? Cell Mol Gastroenterol Hepatol 4:251-262|
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