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.

Research coordinators (RCs) are vital to the clinical research enterprise, ensuring research is conducted ethically, results are scientifically sound and human research subjects are protected. Given the absence of a prior systematic inquiry, we sought to understand the ways in which Clinical & Translational Science Award-funded academic health centers support RCs.

Our survey asked questions about existing coordinator networks and where none existed, collected data on the characterization of resources and services provided to support RCs (outside of salary).

Findings show 4 mechanisms support RCs: identification of the workforce, professionalization of the position, dissemination of information, and offering of services.

An academic health center that wishes to deliver research training and services to their RC workforce will need identification and communication structures in place before supportive activities can be effectively implemented.

There is a dearth of literature providing guidance on how to effectively communicate about clinical research (CR).

Using the transactional model of communication, a content analysis of the investigator (n=62) and participant (n=18) Web sites of institutions funded through the National Institutes of Health Clinical and Translational Science Award (CTSA) was conducted to identify their strategies (e.g., messages) for communicating about CR participation.

CTSAs targeted investigators with CR participation content across the main Web sites, although most CTSAs (n=55; 88.7%) also included CR participation content for participants. In total, 18 CTSAs (29%) hosted participant Web sites. Participant sites included 13 message types about CR participation (e.g., registry enrollment) and 5 additional channels (e.g., email, phone number) to communicate about CR. However, many CTSA participant Web sites excluded information explaining the CR process and offered CR content exclusively in English.

CTSAs should identify their target audience and design strategies (e.g., messages, channels) accordingly.

This study uses KL2 scholars’ publications to evaluate the types of research the KL2 program supports and to assess the initial productivity and impact of its scholars.

We illustrate the feasibility of 3 different approaches to bibliometrics, one viable method for determining the types of research a program or hub supports, and demonstrate how these data can be further combined with internal data records.

Gender differences were observed in the types of research scholars undertake. Overall KL2 scholars are performing well, with their publications being cited more than the norm for National Institutes of Health publications. Favorable results were also observed in scholars’ continued engagement in research.

This study illustrates that linking bibliometric data and data categorizing publications along the translational spectrum with a Clinical and Translational Science Award hub’s internal data records is feasible and offers a number of innovative possibilities for the evaluation of a Clinical and Translational Science Award hub’s programs and investigators.

The final rule for the protection of human subjects requires that informed consent be “in language understandable to the subject” and mandates that “the informed consent must be organized in such a way that facilitates comprehension.” This study assessed the readability of Institutional Review Board-approved informed consent forms at our institution, implemented an intervention to improve the readability of consent forms, and measured the first year impact of the intervention.

Readability assessment was conducted on a sample of 217 Institutional Review Board-approved informed consents from 2013 to 2015. A plain language informed consent template was developed and implemented and readability was assessed again after 1 year.

The mean readability of the baseline sample was 10th grade. The mean readability of the post-intervention sample (n=82) was seventh grade.

Providing investigators with a plain language informed consent template and training can promote improved readability of informed consents for research.

It is not clear how to effectively recruit healthy research volunteers.

We developed an electronic health record (EHR)-based algorithm to identify healthy subjects, who were randomly assigned to receive an invitation to join a research registry via the EHR’s patient portal, letters, or phone calls. A follow-up survey assessed contact preferences.

The EHR algorithm accurately identified 858 healthy subjects. Recruitment rates were low, but occurred more quickly via the EHR patient portal than letters or phone calls (2.7 vs. 19.3 or 10.4 d). Effort and costs per enrolled subject were lower for the EHR patient portal (3.0 vs. 17.3 or 13.6 h, $113 vs. $559 or $435). Most healthy subjects indicated a preference for contact via electronic methods.

Healthy subjects can be accurately identified from EHR data, and it is faster and more cost-effective to recruit healthy research volunteers using an EHR patient portal.

The application of digital monitoring biomarkers in health, wellness and disease management is reviewed. Harnessing the near limitless capacity of these approaches in the managed healthcare continuum will benefit from a systems-based architecture which presents data quality, quantity, and ease of capture within a decision-making dashboard.

A framework was developed which stratifies key components and advances the concept of contextualized biomarkers. The framework codifies how direct, indirect, composite, and contextualized composite data can drive innovation for the application of digital biomarkers in healthcare.

The de novo framework implies consideration of physiological, behavioral, and environmental factors in the context of biomarker capture and analysis. Application in disease and wellness is highlighted, and incorporation in clinical feedback loops and closed-loop systems is illustrated.

The study of contextualized biomarkers has the potential to offer rich and insightful data for clinical decision making. Moreover, advancement of the field will benefit from innovation at the intersection of medicine, engineering, and science. Technological developments in this dynamic field will thus fuel its logical evolution guided by inputs from patients, physicians, healthcare providers, end-payors, actuarists, medical device manufacturers, and drug companies.

Computational analysis of genome or exome sequences may improve inherited disease diagnosis, but is costly and time-consuming.

We describe the use of iobio, a web-based tool suite for intuitive, real-time genome diagnostic analyses.

We used iobio to identify the disease-causing variant in a patient with early infantile epileptic encephalopathy with prior nondiagnostic genetic testing.

Iobio tools can be used by clinicians to rapidly identify disease-causing variants from genomic patient sequencing data.