Abstract

2.2. SCIENTIFIC AIMS 5.1 In cross-section (baseline only), determine the association between the gut microbiome and the fecal BA composition in 735 participants of a Phase III trial to prevent CRA, considering the effects of age, sex, diet, and other factors (e.g., smoking, obesity, race/ethnicity and diabetes). 5.2 Test if baseline gut microbiome composition is associated with development of CRA and whether any association between the gut microbiome and CRA is dependent on baseline fecal BA composition, considering the intervention with ursodeoxycholic acid (UDCA). S.S Characterize differences in the gut microbiome and BA compositions in rural and urban dwelling Navajo and relate the findings to those observed in the study of NHWs at risk of CRC. The training component of this aim is for mentee Dr. Yellowhair [mentored by Dr. Thompson] to lead an effort to describe the gut microbiome and BA composition and levels in Navajo, considering urbanization, age, sex, and lifestyle (diet and exercise). 2.3 IMPACT. Identification of the factors (BAs, gut microbiome) that mediate the role of the environment in CRC will allow us to better target and modify the physiological factors that underlie the elevated CRC risk that occurs with modern diet and lifestyle factors. Further, demonstration of shared physiological consequences across NHW and NA populations would vastly enhance our ability to extrapolate findings from one population to another.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
2U54CA143924-06
Application #
8823202
Study Section
Special Emphasis Panel (ZCA1-SRLB-B (O1))
Project Start
2009-09-28
Project End
2019-08-31
Budget Start
2014-09-19
Budget End
2015-08-31
Support Year
6
Fiscal Year
2014
Total Cost
$183,339
Indirect Cost
$59,232

  Institution

Name
University of Arizona
Department
Type
DUNS #
806345617
City
Tucson
State
AZ
Country
United States
Zip Code
85721

  Publications

Bokulich, Nicholas A; Kaehler, Benjamin D; Rideout, Jai Ram et al. (2018) Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin. Microbiome 6:90
Batai, Ken; Harb-De la Rosa, Alfredo; Lwin, Aye et al. (2018) Racial and Ethnic Disparities in Renal Cell Carcinoma: An Analysis of Clinical Characteristics. Clin Genitourin Cancer :
Bea, J W; Hsu, C-H; Blew, R M et al. (2018) Use of iDXA spine scans to evaluate total and visceral abdominal fat. Am J Hum Biol 30:
Bokulich, Nicholas A; Dillon, Matthew R; Zhang, Yilong et al. (2018) q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data. mSystems 3:
Varadaraj, Archana; Magdaleno, Carina; Mythreye, Karthikeyan (2018) Deoxycholate Fractionation of Fibronectin (FN) and Biotinylation Assay to Measure Recycled FN Fibrils in Epithelial Cells. Bio Protoc 8:
Martinez, Jessica A; Yang, Jun; Wertheim, Betsy C et al. (2018) Celecoxib use and circulating oxylipins in a colon polyp prevention trial. PLoS One 13:e0196398
Yellowhair, Monica; Romanotto, Michelle R; Stearns, Diane M et al. (2018) Uranyl acetate induced DNA single strand breaks and AP sites in Chinese hamster ovary cells. Toxicol Appl Pharmacol 349:29-38
Bea, Jennifer W; de Heer, Hendrik Dirk; Valdez, Luis et al. (2018) Physical Activity among Navajo Cancer Survivors: A Qualitative Study. Am Indian Alsk Native Ment Health Res 25:54-73
Huenneke, Laura F; Stearns, Diane M; Martinez, Jesse D et al. (2017) Key Strategies for Building Research Capacity of University Faculty Members. Innov High Educ 42:421-435
Jim, Venessa; LaViolette, Corinne; Briehl, Margaret M et al. (2017) Spatial distribution of uranium in mice kidneys detected by laser ablation inductively coupled plasma mass spectrometry. J Appl Bioanal 3:43-48

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