1715-P: Identifying Potentially Functional Variants in Regulatory Regions in KCNQ1 that Associate with Type 2 Diabetes in American Indians

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1715-P
Author(s):  
YUNHUA L. MULLER ◽  
SAMANTHA E. DAY ◽  
SAYUKO KOBES ◽  
WILLIAM C. KNOWLER ◽  
ROBERT L. HANSON ◽  
...  
Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1709-P
Author(s):  
ROBERT L. HANSON ◽  
LAUREN E. WEDEKIND ◽  
WEN-CHI HSUEH ◽  
SAYUKO KOBES ◽  
LESLIE J. BAIER ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 673-P
Author(s):  
SARAH A. STOTZ ◽  
STEVEN LOCKHART ◽  
ANGELA G. BREGA ◽  
KELLY R. MOORE

2018 ◽  
Vol 24 (4) ◽  
pp. 621-639 ◽  
Author(s):  
Ashleigh Coser ◽  
Kelley J. Sittner ◽  
Melissa L. Walls ◽  
Tina Handeland

American Indian (AI) communities experience a disproportionate rate of Type 2 diabetes (T2D) and cumulative exposure to stress. Although this link is well researched among various populations, it has not been examined among AI communities. Path analysis was used to examine a multiple-mediator model to explain how caregiver stress influences self-reported mental and physical health among 100 AI participants with T2D. Caregiver stress was negatively associated with physical and mental health. Physical health was positively associated with family/community connectedness and mental health was positively associated with both family support and connectedness. The relationship between caregiver stress and mental health was partially mediated by family/community connectedness; caregiver stress had no indirect effects on physical health via either hypothesized mediator. Findings demonstrate the importance of integrating individuals’ connection to family and community and its influence on caregiver stress and mental health in intervention programs targeting diabetes management and care among AI communities.


2018 ◽  
Vol 25 (8) ◽  
pp. 1055-1071 ◽  
Author(s):  
R. Turner Goins ◽  
Jacqueline Jones ◽  
Mark Schure ◽  
Blythe Winchester ◽  
Vickie Bradley

Author(s):  
Helen C. Looker ◽  
Chunru Lin ◽  
Viji Nair ◽  
Matthias Kretzler ◽  
Michael Mauer ◽  
...  

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Yun Zhu ◽  
Jiang He ◽  
Lyle G Best ◽  
Elisa T Lee ◽  
Barbara V Howard ◽  
...  

Background: Type 2 diabetes (T2D) is characterized by profound metabolic abnormalities. Current glycemic indicators have limitations in identifying early metabolic alterations. Objective: To identify novel metabolic predictors of T2D in American Indians participating in the Strong Heart Family Study. Methods: Among 2,129 participants who had normal fasting glucose (NFG) at baseline (2001-2003) and also attended clinical examination after 5-year follow-up (2006-2009), 142 developed incident T2D, 514 developed incident impaired fasting glucose (IFG), and 1,473 remained to be NFG. The current analysis included all incident cases of T2D (n=142), 146 incident IFG (randomly selected from 514 participants with incident IFG) and 144 NFG (randomly selected from 1,473 participants with NFG at both visits). Baseline plasma metabolites were detected by high-resolution LC/MS. The prospective association of each metabolite with risk for T2D or IFG was investigated using weighted Cox’s hazard regression with frailty model, adjusting for sex, study center, age, BMI, renal function, fasting glucose and fasting insulin at baseline. Multiple testing was corrected by Bonferroni correction (significance level 2.8х10-6). Results: Thirty-nine metabolites from several major fuel sources, including sugar amino acids, amino acids, lipids, alkaloids, alkylamines, carboxylic acids, steroids, and aromatic homomonocylic/heteropolycyclic compounds, significantly predicted future risk of T2D (10 metabolites), or IFG (27 metabolites), or both (2 metabolites). Of these, N1,N12-diacetylspermine and betanidin, respectively, were the strongest predictors for increased (HR=4.59, 95% CI, 2.55-8.24, P=3.49х10-7) and decreased risk of T2D (HR=0.38, 95% CI, 0.28-0.52, P=4.64х10-10). The corresponding strongest predictors for IFG were hexanoic acid (HR=2.34, 95% CI, 1.84-2.98, P=3.15х10-12) and l-palmitoylcarnitine (HR=0.26, 95% CI, 0.18-0.37, P=1.14х10-13), respectively. Two metabolites, betanidin and dopamine, significantly predicted future onset of both T2D (HR=0.38, 95% CI, 0.28,0.52, P=4.64х10-10 for betanidin; HR=2.48, 95% CI, 1.71-3.58, P=1.42х10-6 for dopamine) and IFG (HR=0.52, 95% CI, 0.43,0.62, P=1.35х10-12 for betanidin; HR=2.24, 95% CI, 1.73,2.89, P=5.79х10-10 for dopamine). Multiple unknown compounds were also independently associated with risk of T2D, IFG or both. Conclusions: This study identifies both novel and known metabolic alterations associated with risk of diabetes in American Indians, an ethnic group suffering from disproportionately high rates of T2D. The incomplete overlapping of metabolic profiles between T2D and IFG highlights differential metabolic states of diabetes development. Our results not only provide novel insights in disease pathogenesis but also valuable data on potential new targets for risk prediction and treatment.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1301-1301
Author(s):  
Amanda Fretts ◽  
Caitie Hawley ◽  
Meagan Brown ◽  
India Ornelas ◽  
Lyle Best ◽  
...  

Abstract Objectives Type 2 diabetes is a leading cause of morbidity among American Indians (AIs). Although healthy diet is a key component of diabetes management, many AIs face barriers to adopting a healthy diet. Preliminary work in an AI community in the north-central USA indicated that the most salient factors that influence healthy diet are: difficulty budgeting for food, low literacy/numeracy when purchasing food, and limited cooking skills. The Cooking for Health Study is a randomized controlled trial developed in partnership with the community that will evaluate the efficacy of a culturally-tailored healthy food budgeting, purchasing, and cooking program on: (1) intake of sugar-sweetened beverages and processed foods; and (2) healthy food budgeting and cooking skills, among AIs with diabetes. Methods The curriculum was informed by focus groups and meetings with community members and in partnership with the tribal diabetes program. The curriculum comprises a 12-month online/distance-learning program delivered through video and written materials. Over one year, we will recruit 165 AI participants with diabetes who are members of the community and reside on the reservation. Individuals will be randomized (using a 1:1 ratio) to intervention or control arm (i.e., delayed intervention). Participants in the intervention arm will receive the curriculum over a year. At baseline, month 6, and month 12, all participants will complete in-person study visits that include food frequency questionnaires, and assessments of food resource management and cooking confidence. Results The curriculum focuses on cooking and budgeting skills, and optimal diet for diabetes management. Lessons include: getting healthy foods; vegetables; fruits; dairy; protein and meats; grains; food budgeting and meal planning; empty calories; snacking; traditional foods; and celebrations. Each lesson comprises 3–8 videos paired with written materials. Enrollment will commence in early 2020. Conclusions Poorly controlled diabetes disproportionately affects the health of AIs compared to other racial/ethnic groups, and has profound effects on healthcare costs. Improving healthy food budgeting, purchasing, and cooking skills among AIs with diabetes should improve diet/diabetes management. Funding Sources NIH/NIMHD R01MD011596.


2019 ◽  
Vol 67 (9) ◽  
pp. 1940-1945 ◽  
Author(s):  
R. Turner Goins ◽  
Carolyn Noonan ◽  
Blythe Winchester ◽  
David Brock

2019 ◽  
Vol 46 (1) ◽  
pp. 108-117 ◽  
Author(s):  
Jacqueline Jones ◽  
R. Turner Goins ◽  
Mark Schure ◽  
Blythe Winchester ◽  
Vickie Bradley

Purpose The purpose of this qualitative descriptive study was to examine the National Standards for Diabetes Self-Management Education and Support (DSMES) defined diabetes self-care behaviors (healthy eating, being active, taking medication, monitoring, problem solving, reducing risk, and healthy coping) in the context of older community-dwelling American Indians (AIs). Methods Secondary theme analysis of transcribed semistructured qualitative interview data from 28 participants in the Native Elder Care Study aged >60 years identified factors that influence the DSMES self-care behaviors in the context of community-dwelling AIs. Results Four themes that characterized barriers, facilitators, and opportunities for DSMES to support self-care behaviors included community food security, care partners in self-care, community opportunities for diabetes support, and blending of both health worlds. Conclusion Tribal communities have contemporary strengths and cultural traditions that can be activated to enhance diabetes self-management education and support. Diabetes educators can work in tandem with community health representatives to strengthen the social and community support within which individual AIs with type 2 diabetes mellitus live. Community-based participatory research with AI caregivers, dyads, families, youth, and Indian Health Service clinicians may help to improve tribal food policy and school health initiatives, as well as develop intergenerational interventions for modeling effective diabetes self-management.


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