General life stress has been associated with altered DNA methylation in individuals of African Ancestry, although the relationship between parenting stress and DNA methylation has not been described. The purpose of this study was to examine the relationship between maternal parenting stress and DNA methylation among African Ancestry mother-child dyads.

We evaluated epigenome-wide DNA methylation relative to parenting stress in 74 mother-child dyads using linear mixed models.

Significant variation in maternal DNA methylation at 95 CpG sites was associated with level of parenting stress. Notably, we identified a change in DNA methylation associated with poly (ADP-ribose) polymerase-1, which plays a key role in stress signaling. We did not identify any significant variation in child DNA methylation related to maternal parenting stress.

However, DNA methylation patterns observed in children mirrored patterns observed in their mothers. The results suggest that differential maternal DNA methylation is associated with higher levels of parenting stress.

High-quality data are critical to the entire scientific enterprise, yet the complexity and effort involved in data curation are vastly under-appreciated. This is especially true for large observational, clinical studies because of the amount of multimodal data that is captured and the opportunity for addressing numerous research questions through analysis, either alone or in combination with other data sets. However, a lack of details concerning data curation methods can result in unresolved questions about the robustness of the data, its utility for addressing specific research questions or hypotheses and how to interpret the results. We aimed to develop a framework for the design, documentation and reporting of data curation methods in order to advance the scientific rigour, reproducibility and analysis of the data.

Forty-six experts participated in a modified Delphi process to reach consensus on indicators of data curation that could be used in the design and reporting of studies.

We identified 46 indicators that are applicable to the design, training/testing, run time and post-collection phases of studies.

The Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD) Guidelines are the first comprehensive set of data quality indicators for large observational studies. They were developed around the needs of neuroscience projects, but we believe they are relevant and generalisable, in whole or in part, to other fields of health research, and also to smaller observational studies and preclinical research. The DAQCORD Guidelines provide a framework for achieving high-quality data; a cornerstone of health research.

The Resource Centers for Minority Aging Research (RCMAR) program was launched in 1997. Its goal is to build infrastructure to improve the well-being of older racial/ethnic minorities by identifying mechanisms to reduce health disparities.

Its primary objectives are to mentor faculty in research addressing the health of minority elders and to enhance the diversity of the workforce that conducts elder health research by prioritizing the mentorship of underrepresented diverse scholars.

Through 2015, 12 centers received RCMAR awards and provided pilot research funding and mentorship to 361 scholars, 70% of whom were from underrepresented racial/ethnic groups. A large majority (85%) of RCMAR scholars from longstanding centers continue in academic research. Another 5% address aging and other health disparities through nonacademic research and leadership roles in public health agencies.

Longitudinal, team-based mentoring, cross-center scholar engagement, and community involvement in scholar development are important contributors to RCMAR’s success.

This study employed the Delphi method, an exploratory method used for group consensus building, to determine the benefits and challenges associated with community engagement in patient-centered outcomes research.

A series of email surveys were sent to the Patient-Centered Outcomes Research Institute (PCORI)-funded researchers (n = 103) in New England. Consensus was achieved through gathering themes and engaging participants in ranking their level of agreement over three rounds. In round one, participant responses were coded thematically and then tallied. In round two participants were asked to state their level of agreement with each of the themes using a Likert scale. Finally, in round three, the group was asked to rank the round two themes based on potential impact.

Results suggested the greatest benefit of community engagement is that it brings multiple perspectives to the table, with 92% ranking it as the first or second most important contribution. Time was ranked as the most significant barrier to engaging community. Strategies to overcome barriers to community engagement include engaging key stakeholders early in the research, being kind and respectful and spending time with stakeholders. The most significant finding was that no researchers reported having specific measures to evaluate community engagement.

Community engagement can enhance both research relevance and methodology when researchers are engaged in meaningful collaborations. Advancing the science of community engagement will require the development of evaluation metrics to examine the multiple domains of partnership.

The glucocorticoid receptor (GR) is a key receptor involved in inflammatory responses and is influenced by sex steroids. This study measured GR expression on circulating leukocyte subtypes in males and females.

A total of 23 healthy adults (12 female) participated in this study. GR expression was measured in leukocyte subtypes using flow cytometry. Peripheral blood mononuclear cell (PBMC) gene expression of GR (NR3C1), GR β, TGF-β1 and 2, and glucocorticoid-induced leucine zipper (GILZ) were determined by real-time polymerase chain reaction.

Leukocyte GR was lower in females, particularly in granulocytes, natural killer cells, and peripheral blood mononuclear cells (p≤0.01). GR protein expression was different across leukocyte subtypes, with higher expression in eosinophils compared with granulocytes, T lymphocytes, and natural killer cells (p<0.05). There was higher gene expression of GR β in males (p=0.03).

This is the first study to identify sexual dimorphism in GR expression in healthy adults using flow cytometry. These results may begin to explain the sexual dimorphism seen in many diseases and sex differences in glucocorticoid responsiveness.

Following inception in 2005 as a multiregional practice-based research network (PBRN), the “National Dental PBRN” expanded nationwide in 2012, and in 2019 implemented additional organizational changes. The objectives are to: (1) describe the new structure and function of the network; and (2) quantify its scientific productivity since 2005.

A national Administrative and Resource Center is based in Alabama; regional and specialty nodes are based in Alabama, Florida, Illinois, Minnesota, Oregon, New York, and Texas. A Network Coordinating Center is based in Oregon. Studies are funded via investigator-initiated grants. Scientific productivity is assessed using specific metrics, including the Relative Citation Ratio.

To date, 58 studies have been completed or are in data collection or development. These studies have investigated a broad range of topics using a wide variety of study designs. Of the studies that have completed enrollment, 70,665 patients were enrolled, as were 19,827 practitioners (some participated in multiple studies), plus electronic records for 790,493 patients in two data-only studies. To date, these studies have led to 193 peer-reviewed scientific publications in 62 different journals. The mean (1.40) Relative Citation Ratio of Network publications connotes a greater-than-average influence in their fields.

These metrics demonstrate that the PBRN research context can successfully engage practitioners and patients from diverse settings nationally with a high and sustained level of scientific productivity. This infrastructure has enabled clinical scientists in oral health and nonoral health topics and provided additional recruitment venues outside of the typical academic health center research context.

Implementation of genome-scale sequencing in clinical care has significant challenges: the technology is highly dimensional with many kinds of potential results, results interpretation and delivery require expertise and coordination across multiple medical specialties, clinical utility may be uncertain, and there may be broader familial or societal implications beyond the individual participant. Transdisciplinary consortia and collaborative team science are well poised to address these challenges. However, understanding the complex web of organizational, institutional, physical, environmental, technologic, and other political and societal factors that influence the effectiveness of consortia is understudied. We describe our experience working in the Clinical Sequencing Evidence-Generating Research (CSER) consortium, a multi-institutional translational genomics consortium.

A key aspect of the CSER consortium was the juxtaposition of site-specific measures with the need to identify consensus measures related to clinical utility and to create a core set of harmonized measures. During this harmonization process, we sought to minimize participant burden, accommodate project-specific choices, and use validated measures that allow data sharing.

Identifying platforms to ensure swift communication between teams and management of materials and data were essential to our harmonization efforts. Funding agencies can help consortia by clarifying key study design elements across projects during the proposal preparation phase and by providing a framework for data sharing data across participating projects.

In summary, time and resources must be devoted to developing and implementing collaborative practices as preparatory work at the beginning of project timelines to improve the effectiveness of research consortia.

Prior to the COVID pandemic, many CTSAs employed face-to-face interactions to conduct most of their community engagement (CE) activities. During the COVID pandemic, such engagement had to be curtailed and alternatives needed to be formulated. In addition, Community Engaged Research (CEnR) teams refocused their efforts to address this public health crisis.

To obtain a general understanding of how CTSAs have conducted CE and CEnR during the COVID pandemic, we invited seven CTSA CE leaders to provide brief field reports of their activities during the pandemic. This included how their approaches to CE and CEnR were modified during the COVID-19 pandemic and key lessons learned.

We found that despite numerous challenges, all seven CTSAs CE cores were able to successfully carry out CE and CEnR. We also found that the fundamental principles of meaningful and authentic stakeholder engagement were of paramount importance during the pandemic. Through virtual approaches, all sites had considerable success in maintaining CE in during the COVID pandemic. They also leveraged existing bi-directional community partnerships to carry out meaningful and impactful research. This included both new COVID CEnR and also innovative approaches to sustain prior non-COVID research.

These findings suggest that academic-community partnerships must be fostered and sustained over the many years so that when such crises emerge, all partners can build on existing trust and mutual respect. The lessons learned and the new tools and approaches developed would be key in addressing any such future public health emergencies.

Research organizations face challenges in creating infrastructures that cultivates and sustains interdisciplinary team science. The objective of this paper is to identify structural elements of organizations and training that promote team science.

We qualitatively analyzed the National Institutes of Health’s Building Interdisciplinary Research Careers in Women’s Health, K12 using organizational psychology and team science theories to identify organizational design factors for successful team science and training.

Seven key design elements support team science: (1) semiformal meta-organizational structure, (2) shared context and goals, (3) formal evaluation processes, (4) meetings to promote communication, (5) role clarity in mentoring, (6) building interpersonal competencies among faculty and trainees, and (7) designing promotion and tenure and other organizational processes to support interdisciplinary team science.

This application of theory to a long-standing and successful program provides important foundational elements for programs and institutions to consider in promoting team science.

There are few longitudinal studies about South Asians (SAs) and little information about recruitment and retention approaches for this ethnic group.

We followed 906 SAs enrolled in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) cohort for 5 years. Surviving participants were invited for a second clinical exam from 2015 to 2018. A new wave of participants was recruited during 2017–2018. We assessed the yields from different methods of recruitment and retention.

A total of 759 (83%) completed the second clinical exam, and 258 new participants were enrolled. Providing a nearby community hospital location for the study exam, offering cab/shared ride reimbursement, and conducting home visits were the most effective methods for enhancing retention. New participant recruitment targeted women and individuals with lower socioeconomic status, and we found that participant referrals and active community engagement were most effective. Mailing invitational letters to those identified by electronic health records had very low yield.

Recruitment and retention strategies that address transportation barriers and increase community engagement will help increase the representation of SAs in health research.