This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Sepsis is a potentially life-threatening condition, in which immune system's reaction to an infection may injure body tissues far from the original infection. Neonatal sepsis is particularly dangerous in very low birth weight (VLBW) infants. Studies have shown that about 21% of VLBW infants who survied beyond 3 days have blood culture proven late-onset sepsis. Even if the infant survives, the adverse effect of sepsis can be long lasting, resulting in abnormal brain development. However, accurate early diagnosis in the neonates is difficult because there is no definitive diagnostic test;even blood cultures have an unacceptably low sensitivity. Therefore, the clinician must accept that a number of neonates will have treatment initiated for sepsis who do not have the disease. In order to treat rapidly all infants with sepsis and to minimize therapy for those without infection, improved technology is needed for detecting the onset of sepsis and studying its long-term effect on development. This pilot project will test and idetify MRI based methods for detecting brain injuries caused by stool infection using a newly developed mouse model.
Aim 1 : we will quantify changes in myelination caused by sepsis using high-resolution quantitative susceptibility imaging.
Aim 2 : we will quantify degradations in white-matter integrity and connectivity with high-resolution diffusion tensor imaging. The project will evaluate two promissing MRI methods for the early diagnosis of white matter injuries caused by neonatal sepsis. Successful early dedection of infection allows early intervention and prevents potential damages to neural development.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR005959-22
Application #
8363200
Study Section
Special Emphasis Panel (ZRG1-SBIB-P (40))
Project Start
2011-07-01
Project End
2012-06-30
Budget Start
2011-07-01
Budget End
2012-06-30
Support Year
22
Fiscal Year
2011
Total Cost
$12,272
Indirect Cost
Name
Duke University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Tang, Xinyan; Jing, Liufang; Richardson, William J et al. (2016) Identifying molecular phenotype of nucleus pulposus cells in human intervertebral disc with aging and degeneration. J Orthop Res 34:1316-26
Hodgkinson, Conrad P; Bareja, Akshay; Gomez, José A et al. (2016) Emerging Concepts in Paracrine Mechanisms in Regenerative Cardiovascular Medicine and Biology. Circ Res 118:95-107
Schmeckpeper, Jeffrey; Verma, Amanda; Yin, Lucy et al. (2015) Inhibition of Wnt6 by Sfrp2 regulates adult cardiac progenitor cell differentiation by differential modulation of Wnt pathways. J Mol Cell Cardiol 85:215-25
Roos, Justus E; McAdams, Holman P; Kaushik, S Sivaram et al. (2015) Hyperpolarized Gas MR Imaging: Technique and Applications. Magn Reson Imaging Clin N Am 23:217-29
He, Mu; Robertson, Scott H; Kaushik, S Sivaram et al. (2015) Dose and pulse sequence considerations for hyperpolarized (129)Xe ventilation MRI. Magn Reson Imaging 33:877-85
Huang, Jing; Guo, Jian; Beigi, Farideh et al. (2014) HASF is a stem cell paracrine factor that activates PKC epsilon mediated cytoprotection. J Mol Cell Cardiol 66:157-64
Huang, Lingling; Walter, Vonn; Hayes, D Neil et al. (2014) Hedgehog-GLI signaling inhibition suppresses tumor growth in squamous lung cancer. Clin Cancer Res 20:1566-75
Yuan, Ying; Gilmore, John H; Geng, Xiujuan et al. (2014) FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data. Neuroimage 84:753-64
He, Mu; Kaushik, S Sivaram; Robertson, Scott H et al. (2014) Extending semiautomatic ventilation defect analysis for hyperpolarized (129)Xe ventilation MRI. Acad Radiol 21:1530-41
Liu, Chunlei; Li, Wei (2013) Imaging neural architecture of the brain based on its multipole magnetic response. Neuroimage 67:193-202

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