The Methods and Analysis Core will have five main functions and serve all three projects of the Program Project. A first function of the Core will be to continue to implement and update standard operating procedures for the collection of PSG signals, metabolic measures, cardiovascular measures, hormonal profiles and neurobehavioral tests. Particular attention will be paid to adequate time synchronization with the other biological and psychological measurements. A second function of Core B will be to establish and manage a shared data repository to centralize digital records (PSG, cardiometabolic, hormonal and neurobehavioral measures) obtained during the past and current project periods. The repository will be located on a server at the University of Chicago and all project investigators will have remote access using encrypted authentication. A third function of Core B will be to provide specific computerized analytical tools (PRANA software, Chronobiological Series Analyzer (CSA), Minimal Model Software [MiniMod], Templates for analysis of oral glucose tolerance tests) for the scoring of human and animal sleep-wake stages, the edition of sleep transient events, and the analysis of hormonal, cardiovascular, genetic and metabolic data. Fourth, the Core will develop new computerized tools for analyzing temporal profiles of gene expression. Lastly, Core B will provide expert statistical support to the different projects. The functions served by the Methods and Analysis Core will greatly enhance the overall quality, originality and quantity of the data collected in the individual projects.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
2P01AG011412-18A1
Application #
9220511
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2016-09-01
Budget End
2017-08-31
Support Year
18
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Northwestern University at Chicago
Department
Type
DUNS #
005436803
City
Chicago
State
IL
Country
United States
Zip Code
60611
Santostasi, Giovanni; Malkani, Roneil; Riedner, Brady et al. (2016) Phase-locked loop for precisely timed acoustic stimulation during sleep. J Neurosci Methods 259:101-14
Peek, Clara Bien; Levine, Daniel C; Cedernaes, Jonathan et al. (2016) Circadian Clock Interaction with HIF1α Mediates Oxygenic Metabolism and Anaerobic Glycolysis in Skeletal Muscle. Cell Metab :
Broussard, Josiane L; Kilkus, Jennifer M; Delebecque, Fanny et al. (2016) Elevated ghrelin predicts food intake during experimental sleep restriction. Obesity (Silver Spring) 24:132-8
Grimaldi, Daniela; Carter, Jason R; Van Cauter, Eve et al. (2016) Adverse Impact of Sleep Restriction and Circadian Misalignment on Autonomic Function in Healthy Young Adults. Hypertension 68:243-50
Broussard, Josiane L; Wroblewski, Kristen; Kilkus, Jennifer M et al. (2016) Two Nights of Recovery Sleep Reverses the Effects of Short-term Sleep Restriction on Diabetes Risk. Diabetes Care 39:e40-1
Mokhlesi, Babak; Grimaldi, Daniela; Beccuti, Guglielmo et al. (2016) Effect of One Week of 8-Hour Nightly Continuous Positive Airway Pressure Treatment of Obstructive Sleep Apnea on Glycemic Control in Type 2 Diabetes: A Proof-of-Concept Study. Am J Respir Crit Care Med 194:516-9
Broussard, Josiane L; Van Cauter, Eve (2016) Disturbances of sleep and circadian rhythms: novel risk factors for obesity. Curr Opin Endocrinol Diabetes Obes 23:353-9
Perelis, M; Ramsey, K M; Bass, J (2015) The molecular clock as a metabolic rheostat. Diabetes Obes Metab 17 Suppl 1:99-105
Perelis, Mark; Marcheva, Biliana; Ramsey, Kathryn Moynihan et al. (2015) Pancreatic β cell enhancers regulate rhythmic transcription of genes controlling insulin secretion. Science 350:aac4250
Westerberg, Carmen E; Florczak, Susan M; Weintraub, Sandra et al. (2015) Memory improvement via slow-oscillatory stimulation during sleep in older adults. Neurobiol Aging 36:2577-86

Showing the most recent 10 out of 194 publications