? OVERALL In 2007 the Penn State Clinical and Translational Science Institute was formed (CTSI, termed the ?Institute? in this application) to advance biomedical research to better predict, prevent and treat human disease. Penn State has over $800 million of research expenditures and its College of Medicine in Hershey, Pennsylvania, is a thriving institution serving over 2 million people. The region is racially and ethnically diverse with a mix of urban, suburban, and rural populations with many being disadvantaged and elderly. As a major land-grant university Penn State has developed a large outreach network affording the opportunity to rapidly identify community needs and deploy new healthcare approaches. This is a new CTSA application that builds upon our efforts since 2007 to reshape clinical and translational science (CTS). We are a learning organization that has developed and implemented methods, metrics and processes to continually assess our performance and progress. Going forward we will continue to seek input from our advisory committees, the CTSA Consortium and NCATS to deliver on the promise of improved health through discovery, development and dissemination of new knowledge. A key underpinning for our vision for CTS is that multidisciplinary teamwork is critical for success. We propose the following aims:
Aim 1. Catalyze team science by engaging scientists, professionals and communities across and outside traditional biomedical boundaries from within and beyond Penn State. We will increase the reach of our Institute and will promote health and treat disease across the lifespan through enhanced integration and greater interactions with the diverse communities we serve.
Aim 2. Promote the highest quality CTS through the provision of investigator-centered research infrastructure that accelerates protocol development and study completion. We will expand and continually assess our resource support including informatics, research methods, pilot project funding and clinical services within a culture that highlights ethics and concern for the heath care needs of an increasingly diverse population.
Aim 3. Effectively and bidirectionally share resources and expertise through collaborations with other CTSA HUBs, the CTSA Consortium and more broadly with providers and the population at large. We will dramatically improve clinical trials and the processes of recruitment and trial innovation. This will accelerate the rate at which discovery is disseminated and translated into clinical care and improved health.
Aim 4. Educating a new generation of health professionals and CTS investigators. The Institute will be the focal point for the education of a diverse CTS workforce of scholars and professionals. Our workforce will be not only fluent in cutting edge CTS methods but will also be cognizant of the health concerns of diverse populations and the ethical issues that will arise as CTS is conducted. Project Summary/Abstract Page 224 Contact PD/PI: Sinoway, Lawrence Isaac

Public Health Relevance

? OVERALL Advancing clinical and translational science to improve health and defeat disease requires a unique set of expertise and supports?ranging from capacity for effective multidisciplinary team science, to a cohesive infrastructure of research IT and data sharing, novel approaches to training a new and diverse workforce, and strengths in building partnerships with the varied communities we serve. We propose to build on the foundation we have established at Penn State, to further expand our capacity to motivate and support multidisciplinary translational research that reaches across our University and to other institutions, and educates a new generation of the workforce to achieve rigorous, high impact, clinical and translational science. Project Narrative Page 225

Agency
National Institute of Health (NIH)
Institute
National Center for Advancing Translational Sciences (NCATS)
Type
Linked Specialized Center Cooperative Agreement (UL1)
Project #
5UL1TR002014-03
Application #
9507981
Study Section
Special Emphasis Panel (ZTR1)
Program Officer
Jones, Patricia L
Project Start
2016-09-15
Project End
2020-05-31
Budget Start
2018-06-01
Budget End
2019-05-31
Support Year
3
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Pennsylvania State University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
129348186
City
Hershey
State
PA
Country
United States
Zip Code
17033
Tindall, Alyssa M; Petersen, Kristina S; Lamendella, Regina et al. (2018) Tree Nut Consumption and Adipose Tissue Mass: Mechanisms of Action. Curr Dev Nutr 2:nzy069
Rauff, Erica L; Downs, Danielle Symons (2018) A Prospective Examination of Physical Activity Predictors in Pregnant Women with Normal Weight and Overweight/Obesity. Womens Health Issues 28:502-508
Sinha, R; Sinha, I; Calcagnotto, A et al. (2018) Oral supplementation with liposomal glutathione elevates body stores of glutathione and markers of immune function. Eur J Clin Nutr 72:105-111
Gaines, Jordan; Vgontzas, Alexandros N; Fernandez-Mendoza, Julio et al. (2018) Obstructive sleep apnea and the metabolic syndrome: The road to clinically-meaningful phenotyping, improved prognosis, and personalized treatment. Sleep Med Rev 42:211-219
Vasilevsky, Nicole A; Foster, Erin D; Engelstad, Mark E et al. (2018) Plain-language medical vocabulary for precision diagnosis. Nat Genet 50:474-476
Zhang, Beibei; Xu, Jin; Quan, Zhe et al. (2018) Klotho Protein Protects Human Keratinocytes from UVB-Induced Damage Possibly by Reducing Expression and Nuclear Translocation of NF-?B. Med Sci Monit 24:8583-8591
Fernandez-Mendoza, Julio; Li, Yun; Fang, Jidong et al. (2018) Childhood high-frequency EEG activity during sleep is associated with incident insomnia symptoms in adolescence. J Child Psychol Psychiatry :
Pauley, Abigail M; Hohman, Emily; Savage, Jennifer S et al. (2018) Gestational Weight Gain Intervention Impacts Determinants of Healthy Eating and Exercise in Overweight/Obese Pregnant Women. J Obes 2018:6469170
El-Sappagh, Shaker; Kwak, Daehan; Ali, Farman et al. (2018) DMTO: a realistic ontology for standard diabetes mellitus treatment. J Biomed Semantics 9:8
El-Manzalawy, Yasser; Hsieh, Tsung-Yu; Shivakumar, Manu et al. (2018) Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data. BMC Med Genomics 11:71

Showing the most recent 10 out of 249 publications