Objective Native American (NA) populations have higher rates of rheumatic disease and present with overlapping disease symptoms and nontraditional serologic features, thus presenting an urgent need for better biomarkers in NA diagnostics. This study used a machine learning approach to identify immune signatures that more effectively stratify NA patients with rheumatic disease. Methods Adult NA patients with autoantibody‐positive (AAB+) rheumatoid arthritis (RA; n = 28), autoantibody negative (AAB−) RA (n = 18), systemic autoimmune rheumatic disease (n = 28), arthralgia/osteoarthritis (n = 28), or polyarthritis/undifferentiated connective tissue disease (n = 28), and control patients (n = 28) provided serum samples for cytokine, chemokine, and AAB assessment. Random forest clustering and soluble mediator groups were used to identify patients and control patients with similar biologic signatures. The American College of Rheumatology criteria specific for systemic disease and RA identified differences in disease manifestations across clusters. Results Serum soluble mediators were not homogenous between different NA rheumatic disease diagnostic groups, reflecting the heterogeneity of autoimmune diseases. Clustering by serum biomarkers created 5 analogous immune phenotypes. Soluble mediators and pathways associated with chronic inflammation and involvement of the innate, B cell, T follicular helper cell, and interferon‐associated pathways, along with regulatory signatures, distinguished the 5 immune signatures among patients. Select clinical features were associated with individual immune profiles. Patients with low inflammatory and higher regulatory signatures were more likely to have few clinical manifestations, whereas those with T cell pathway involvement had more arthritis. Conclusion Serum protein signatures distinguished NA patients with rheumatic disease into distinct immune subsets. Following these immune profiles over time may assist with earlier diagnoses and help guide more personalized treatment approaches.

The history of research in American Indian/Alaska Native (AI/AN) communities has been marked by unethical practices, resulting in mistrust and reluctance to participate in research. Harms are not limited to individual persons-tribal communities experience harmful misrepresentation and generalizations disrespectful of AI/AN groups' heritage, cultures, and beliefs. The Belmont Report's research ethics principles are applied primarily to protect individual research participants. The principles of sovereignty and solidarity are argued to be important concepts in extending Belmont's research protections to tribal communities. Sovereignty, an expression of respect for autonomy at a group level, is the basis for tribal self-determination. The principle of solidarity provides an ethical underpinning for tribes' obligations to protect community interests and culture. Extension of Belmont through these principles should serve to minimize harms to AI/AN groups in research.

Amid the rapid growth of precision medicine and biobanking initiatives, there have been few efforts at cataloging the implications of these initiatives for Indigenous communities. A consortium involving a university and three American Indian/Alaska Native (AIAN) community partners is working to promote deliberation and dialog in AIAN communities about the potential benefits and risks of genomic research for those communities. The first of the consortium's three planned deliberations was held in September 2018 with citizens of the Chickasaw Nation, a federally recognized tribe in south-central Oklahoma with a full-service medical center and growing research capacity and oversight. Consortium members and the Chickasaw Nation Department of Health Administration designed a deliberative forum for Chickasaw citizens to consider the potential benefits and risks of participating in genomic research and biobanks. In this manuscript, we describe the deliberative method used in this event and report on the ideas discussed during the tribal citizens' deliberations. Chickasaw citizens identified many risks and benefits associated with genomic research and biobanks, including the potential for medical advancements that might benefit the Chickasaw community as well as the possibility of discrimination against the Chickasaw people. Although participants thought the potential benefits outweighed the potential risks, that moral calculation was contingent on whether control of the research and biobanks rested with Chickasaw leadership, researchers, and citizens.

Persistent, unresolved issues stemming from a legacy of scientific exploitation and bio-colonialism have kept many tribal nations from participating in genomic research. The Center for the Ethics of Indigenous Genomic Research (CEIGR) aims to model meaningful community engagement that moves toward more inclusive and equitable research practices related to genomics. This article reflects on key successes and challenges behind CEIGR's efforts to shape Ethical, Legal and Social Implications (ELSI) research in ways that are informed by Indigenous perspectives, to locate community partnerships at the center of genomics research, and to conduct normative and empirical research with Indigenous communities that is grounded in the concepts of reciprocity, transparency and cultural competency. The structure of CEIGR represents an important shift away from a traditional model centered on a university-based principal investigators toward a partner-centered research approach that emphasizes equity and community control by distributing power and decision-making across all CEIGR partner sites. We discuss three features of CEIGR that have contributed to this shift towards an equitable, community-driven partnership: 1) balancing local priorities with collective goals; 2) distributing power in ways that promote equitable partnerships; and 3) capacity building and co-learning across partner sites. The discussion of these three areas in this article speaks to a particular strength of our Center: the interdependence among partners and collective willingness to maintain a plasticity of leadership that creates space for all of our partners to lead, support, exchange and strengthen ELSI research.

Genomic research raises unique ethical concerns among Alaska Native and American Indian (AN/AI) people and their communities. The Center for the Ethics of Indigenous Genomic Research (CEIGR) was created to foster research that takes these concerns into account while considering the sovereign status of AN/AI tribal nations. Relationships developed within CEIGR have allowed for effective, collaborative research among individuals who come from diverse cultures, political and historical backgrounds, and academic disciplines, and who work for organizations with varying resources, capacities, and expectations. The CEIGR framework may inform other groups seeking to conduct social science research related to genomic research with tribal people and their communities.

OBJECTIVE:Many Native American (NA) patients with systemic lupus erythematosus (SLE) do not exhibit the classical SLE autoantibody profiles of European American (EA) and African American (AA) patients with SLE. The poorer SLE disease outcomes noted in NA patients highlights a need for more equitable diagnostic and prognostic tools for NA patients with SLE. The objective was to identify informative autoantibody profiles for NA, AA, and EA patients with SLE using an expanded set of autoantigens. METHODS:Sera from 49 NA, 49 AA, and 49 EA age-, sex-, and antinuclear autoantibody titer-matched patients with SLE who met the American College of Rheumatology classification criteria and 10 ethnicity-, sex-, and age-matched controls were tested for autoantibody reactivity by autoantigen microarrays. Autoantibodies that were significantly elevated in patients with SLE compared with ethnicity-specific controls were selected for hierarchical clustering. Differences in clinical criteria between patient clusters were determined by Fisher's exact test and corrected for multiple comparisons. RESULTS:NA, AA, and EA patients with SLE each had a cluster distinguished by higher levels of anti-Ro52 and another cluster distinguished by nucleic acid-specific autoantibodies. Additional clusters were distinguished in NA patients by elevated extracellular matrix autoantibodies and were distinguished in AA patients by elevated Sm/RNP autoantibody and elevated nucleolin/histone autoantibody. Two EA patient clusters with similar nucleic acid- and Ro52-specific autoantibodies were distinguished by either high or low histone 2A reactivity. Renal manifestations trended higher in the NA Ro52 cluster and were significantly enriched in the AA nucleolin/histone cluster. The AA nucleolin/histone cluster and EA H2A cluster had higher disease activity. CONCLUSION:Expanded autoantibody profiles can identify informative subsets of patients with SLE.

Research misconduct and consequential harms have been inflicted upon American Indian/Alaska Native communities for decades. To protect their people and culture and to retain oversight over research, many Native communities have established tribal health research and institutional review boards. The Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) Study showcases a successful, trusting research collaboration with tribal nations and academic investigators in Oklahoma. In 2006, the TODAY Study investigators proposed a modification of the study protocol to collect biological specimens from participants for genomic analyses and indefinite storage. Partnering American Indian tribal nations elected not to participate in the genomics collection and repository proposal. Reasons included 1) protection of cultural values, 2) concerns regarding community anonymity, 3) a potential threat to tribal services eligibility, 4) broad informed consent language, and 5) vague definitions of data access and usage. The nations believed the proposed genomics analyses presented a risk of harm to their people and nations without clear benefit. Since the 2006 proposal and the advancement of genomics research, many tribal communities in Oklahoma, appreciating the potential benefits of genomic research, are developing policies regarding oversight of/access to data and biological specimens to mitigate risks and provide members and communities with opportunities to participate in safe and meaningful genomic research.

OBJECTIVE:The primary purpose of this study was to compare age-adjusted mortality rates before and after linkage with Indian Health Service records, adjusting for racial misclassification. We focused on differences in racial misclassification by gender, age, geographic differences, substate planning districts, and cause of death. Our secondary purpose was to evaluate time trends in misclassification from 1991 to 2015. DESIGN:Retrospective, descriptive study. SETTING:Oklahoma. PARTICIPANTS:Persons contained in the Oklahoma State Health Department Vital Records. MAIN OUTCOME MEASURES:To evaluate the age-adjusted mortality ratio pre- and post-Indian Health Service record linkage (misclassification rate ratio) and to evaluate the overall trend of racial misclassification on mortality records measured through annual percent change (APC) and average annual percent change (AAPC). RESULTS:We identified 2 stable trends of racial misclassification upon death for American Indians/Alaska Natives (AI/ANs) from 1991 to 2001 (APC: -0.2%; 95% confidence interval: -1.4% to 1.0%) and from 2001 to 2005 (APC: -6.9%; 95% confidence interval: -13.7% to 0.4%). However, the trend identified from 2005 to 2015 decreased significantly (APC: -1.4%; 95% confidence interval: -2.5% to -0.2%). For the last 5 years available (2011-2015), the racial misclassification adjustment resulted in higher mortality rates for AI/ANs reflecting an increase from 1008 per 100 000 to 1305 per 100 000 with the linkage process. There were an estimated 3939 AI/ANs in Oklahoma who were misclassified as another race upon death in those 5 years, resulting in an underestimation of actual AI/AN deaths by nearly 29%. CONCLUSIONS:An important result of this study is that misclassification is improving; however, this effort needs to be maintained and further improved. Continued linkage efforts and public access to linked data are essential throughout the United States to better understand the burden of disease in the AI/AN population.

Objectives To examine the relationships between prepregnancy diabetes mellitus (DM), gestational diabetes mellitus (GDM), and prepregnancy body mass index, with several adverse birth outcomes: preterm delivery (PTB), low birthweight (LBW), and macrosomia, comparing American Indians and Alaska Natives (AI/AN) with other race/ethnic groups. Methods The sample includes 5,193,386 singleton US first births from 2009–2013. Logistic regression is used to calculate adjusted odds ratios controlling for calendar year, maternal age, education, marital status, Kotelchuck prenatal care index, and child’s sex. Results AI/AN have higher rates of diabetes than all other groups, and higher rates of overweight and obesity than whites or Hispanics. Neither overweight nor obesity predict PTB for AI/AN, in contrast to other groups, while diabetes predicts increased odds of PTB for all groups. Being overweight predicts reduced odds of LBW for all groups, but obesity is not predictive of LBW for AI/AN. Diabetes status also does not predict LBW for AI/AN; for other groups, LBW is more likely for women with DM or GDM. Overweight, obesity, DM, and GDM all predict higher odds of macrosomia for all race/ethnic groups. Conclusions for Practice Controlling diabetes in pregnancy, as well as prepregnancy weight gain, may help decrease preterm birth and macrosomia among AI/AN.

AffiliationsValarie Blue Bird Jernigan and Alicia L. Salvatore are with the College of Public Health, University of Oklahoma Health Sciences Center, Tulsa. Michael Peercy and Bobby Saunkeah are with the Health Services Division, Chickasaw Nation of Oklahoma, Ada. Dannielle Branam and David Wharton are with the Health Services Division, Choctaw Nation of Oklahoma, Talihina. Marilyn Winkleby is with the Stanford Prevention Research Center, Stanford School of Medicine, Stanford, CA. John Lowe is with the Christine E. Lynn College of Nursing, Florida Atlantic University, Gainesville. Daniel Dickerson is with the Integrated Substance Abuse Programs, University of California School of Medicine, Los Angeles. Annie Belcourt is with the Department of Health Services, University of Montana, Missoula. Elizabeth D'Amico is with the RAND Corporation, Santa Monica, CA. Christi A. Patten is with the Mayo Clinic, Rochester, MN. Myra Parker and Bonnie Duran are with the Indigenous Wellness Research Institute, University of Washington, Seattle. Raymond Harris and Dedra Buchwald are with the Partnerships for Native Health, University of Washington.

Introduction Innovative approaches are needed to reduce cardiometabolic risk among American Indian women with a history of gestational diabetes. We assessed beliefs of Oklahoma American Indian women about preventing type 2 diabetes and cardiovascular disease after having gestational diabetes. We also assessed barriers and facilitators to healthy lifestyle changes postpartum and intervention approaches that facilitate participation in a postpartum lifestyle program. Methods In partnership with a tribal health system, we conducted a mixed-method study with American Indian women aged 19 to 45 years who had prior gestational diabetes, using questionnaires, focus groups, and individual interviews. Questionnaires were used to identify women’s cardiometabolic risk perceptions and feasibility and acceptability of Internet or mobile phone technology for delivery of a postpartum lifestyle modification program. Focus groups and individual interviews were conducted to identify key perspectives and preferences related to a potential program. Results Participants were 26 women, all of whom completed surveys; 11 women participated in focus group sessions, and 15 participated in individual interviews. Most women believed they would inevitably develop diabetes, cardiovascular disease, or both; however, they were optimistic that they could delay onset with lifestyle change. Most women expressed enthusiasm for a family focused, technology-based intervention that emphasizes the importance of delaying disease onset, provides motivation, and promotes accountability while accommodating women’s competing priorities. Conclusions Our findings suggest that an intervention that uses the Internet, text messaging, or both and that emphasizes the benefits of delaying disease onset should be tested as a novel, culturally relevant approach to reducing rates of diabetes and cardiovascular disease in this high-risk population.

BACKGROUND This study describes overall and site specific cancer incidence among AI/ANs compared to whites in Oklahoma and differences in cancer staging. METHODS Age-adjusted incidence rates obtained from the Oklahoma Central Cancer Registry are presented for all cancer sites combined and for the most common cancer sites among AI/ANs with comparisons to whites. Percentages of late stage cancers for breast, colorectal, and melanoma cancers are also presented. RESULTS AI/ANs had a significantly higher overall cancer incidence rate compared to whites (629.8/100,000 vs. 503.3/100,000), with a rate ratio of 1.25 (95% CI: 1.22, 1.28). There was a significant disparity in the percentage of late stage melanoma cancers between 2005 and 2009, with 14.0% late stage melanoma for whites and 20.0% for AI/ANs (p-value:0.03). CONCLUSIONS Overall, there were cancer disparities between AI/ANs and whites in Oklahoma. Incidence rates were higher among AI/ANs for all cancers and many site specific cancers.