The continuum of translation research in genomic medicine: how can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention?

Knowledge of genetics and attitudes toward genetic testing among university students in Indonesia

The development in human genetics must be tracked with the knowledge to provide support and positive attitudes towards genetic research and its healthcare applications, including genetic testing. Unfortunately, there has been a delay in enacting public policies related to the genetics professionals as well as the diagnosis, treatment, and prevention of genetic diseases in Indonesia. This research was conducted to build an overview of genetic knowledge and public attitudes toward genetic testing among Indonesian undergraduates. This cross-sectional study involved undergraduate students selected using the convenience sampling method. The questionnaire consisted of two parts: a true/false questionnaire (16 statements) regarding knowledge of genetics and a 5-points Likert scale questionnaire (27 statements) pertaining to attitudes towards genetic testing. A total of 1596 undergraduate students completed online questionnaire. The highest knowledge score and the most positive overall attitudes were observed in the healthcare-related majors compared to those who studied science and technology and social and humanity. A weak positive correlation was observed between knowledge and attitude toward genetic testing (Pearson's r = 0.206, p < 0.001). Undergraduate students from healthcare-related majors displayed better in both knowledge of genetics and had more positive attitudes toward genetic testing.

Establishing an infrastructure to optimize the integration of genomics into research: Results from a precision health needs assessment

Researchers across the translational research continuum have emphasized the importance of integrating genomics into their research program. To date capacity and resources for genomics research have been limited; however, a recent population-wide genomic screening initiative launched at the Medical University of South Carolina in partnership with Helix has rapidly advanced the need to develop appropriate infrastructure for genomics research at our institution. We conducted a survey with researchers from across our institution (n = 36) to assess current knowledge about genomics health, barriers, and facilitators to uptake, and next steps to support translational research using genomics. We also completed 30-minute qualitative interviews with providers and researchers from diverse specialties (n = 8). Quantitative data were analyzed using descriptive analyses. A rapid assessment process was used to develop a preliminary understanding of each interviewee's perspective. These interviews were transcribed and coded to extract themes. The codes included types of research, alignment with precision health, opportunities to incorporate precision health, examples of researchers in the field, barriers, and facilitators to uptake, educational activity suggestions, questions to be answered, and other observations. Themes from the surveys and interviews inform implementation strategies that are applicable not only to our institution, but also to other organizations interested in making genomic data available to researchers to support genomics-informed translational research.

Distilling the Fundamentals of Evidence-Based Public Health Policy

Public health policy interventions are associated with many important public health achievements. To provide public health practitioners and decision makers with practical approaches for examining and employing evidence-based public health (EBPH) policy interventions, we describe the characteristics and benefits that distinguish EBPH policy interventions from programmatic interventions. These characteristics include focusing on health at a population level, focusing on upstream drivers of health, and involving less individual action than programmatic interventions. The benefits of EBPH policy interventions include more sustained effects on health than many programs and an enhanced ability to address health inequities. Early childhood education and universal preschool provide a case example that illustrates the distinction between EBPH policy and programmatic interventions. This review serves as the foundation for 3 concepts that support the effective use of public health policy interventions: applying core component thinking to understand the population health effects of EBPH policy interventions; understanding the influence of existing policies, policy supports, and the context in which a particular policy is implemented on the effectiveness of that policy; and employing a systems thinking approach to identify leverage points where policy implementation can have a meaningful effect.

Single nucleotide polymorphism-based biomarker in primary hypertension

Primary hypertension is a multiplex and multifactorial disease influenced by various strong components including genetics. Extensive research such as Genome-wide association studies and candidate gene studies have revealed various single nucleotide polymorphisms (SNPs) related to hypertension, providing insights into the genetic basis of the condition. This review summarizes the current status of SNP research in primary hypertension, including examples of hypertension-related SNPs, their location, function, and frequency in different populations. The potential clinical implications of SNP research for primary hypertension management are also discussed, including disease risk prediction, personalized medicine, mechanistic understanding, and lifestyle modifications. Furthermore, this review highlights emerging technologies and methodologies that have the potential to revolutionize the vast understanding of the basis of genetics in primary hypertension. Gene editing holds the potential to target and correct any kind of genetic mutations that contribute to the development of hypertension or modify genes involved in blood pressure regulation to prevent or treat the condition. Advances in computational biology and machine learning enable researchers to analyze large datasets and identify complex genetic interactions contributing to hypertension risk. In conclusion, SNP research in primary hypertension is rapidly evolving with emerging technologies and methodologies that have the potential to transform the knowledge about genetic basis related to the condition. These advances hold promise for personalized prevention and treatment strategies tailored to an individual's genetic profile ultimately improving patient outcomes and reducing healthcare costs.

Translating genomic advances into biodiversity conservation

A key action of the new Global Biodiversity Framework is the maintenance of genetic diversity in all species to safeguard their adaptive potential. To achieve this goal, a translational mindset, which aims to convert results of basic research into direct practical benefits, needs to be applied to biodiversity conservation. Despite much discussion on the value of genomics to conservation, a disconnect between those generating genomic resources and those applying it to biodiversity management remains. As global efforts to generate reference genomes for non-model species increase, investment into practical biodiversity applications is critically important. Applications such as understanding population and multispecies diversity and longitudinal monitoring need support alongside education for policymakers on integrating the data into evidence-based decisions. Without such investment, the opportunity to revolutionize global biodiversity conservation using genomics will not be fully realized.

Perception of genomic newborn screening among peripartum mothers

Advances in genomic technology have generated possibilities for expanding newborn screening from traditional procedures to genomic newborn screening (gNBS). However, before the implementation of gNBS, it is crucial to address various aspects, including parental attitudes, at the national level. With this aim, we analyzed the attitudes and expectations of Slovenian peripartum mothers regarding gNBS and the acceptability of its implementation into the Slovenian health system. A questionnaire-based study was conducted on a convenience sample of 1136 peripartum mothers (a response rate of 84.1%) in a hospital setting in Slovenia. We measured participants' level of general genetic knowledge, motivation to undergo gNBS, attitude toward its benefits and drawbacks, willingness to participate financially, and factors that would influence their decision to undergo gNBS. Most participants exhibited a positive attitude (83.2%) and were motivated to undertake gNBS (63.4%). They were willing to share genetic data and also contribute to the testing costs. Mothers with better genetic literacy and higher education level, and those with the familial genetic testing experiences were more supportive of gNBS. However, several emotional and socio-ethical concerns were raised regarding how the genetic information would influence family and social life.

Translation in action: Influence, collaboration, and evolution of COVID-19 research with Clinical and Translational Science Awards consortium support

The National Institutes of Health (NIH)'s Clinical and Translational Science Awards (CTSA) consortium aims to accelerate translational processes that move discoveries from bench to bedside. The coronavirus disease 2019 (COVID-19) pandemic presented unmatched challenges and applications for CTSA hubs nationwide. Our study used bibliometrics to assess features of COVID-19 publications supported by the national CTSA program to characterize the consortium's response to the pandemic. Our goal was to understand relative scientific influence, collaboration across hubs, and trends in research emphasis over time. We identified publications from NIH's curated iSearch COVID-19 Publication Portfolio from February 2020 to February 2023; 3234 peer-reviewed articles relevant to COVID-19 cited a CTSA grant. All 66 CTSA hubs were represented, with large-size and longstanding hubs contributing more publications. Most publications cited UL1 grants, 457 cited KL2/TL1 training grants, and 164 cited multiple hub grants. Compared to a random sample of non-CTSA-supported COVID-19 publications, the CTSA portfolio exhibited greater clinical relevance, more human research, and higher altmetric and citation influence. Results were similar for multi-hub publications involving networked initiatives like multi-site clinical trials or the National COVID-19 Cohort Collaborative. Shifts from molecular/cellular-oriented research toward human-oriented research over time were evident, demonstrating translation in action. Results illuminate how the CTSA consortium confronted the pandemic through high-quality projects oriented toward human research, working across hubs on high-value collaborations, advancing along the translational spectrum over time. Findings validate CTSA hubs as critical support structures during health emergencies.

Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks

OBJECTIVE

To overcome the limitations associated with the collection and curation of COVID-19 outcome data in biobanks, this study proposes the use of polygenic risk scores (PRS) as reliable proxies of COVID-19 severity across three large biobanks: the Michigan Genomics Initiative (MGI), UK Biobank (UKB), and NIH All of Us. The goal is to identify associations between pre-existing conditions and COVID-19 severity.

METHODS

Drawing on a sample of more than 500,000 individuals from the three biobanks, we conducted a phenome-wide association study (PheWAS) to identify associations between a PRS for COVID-19 severity, derived from a genome-wide association study on COVID-19 hospitalization, and clinical pre-existing, pre-pandemic phenotypes. We performed cohort-specific PRS PheWAS and a subsequent fixed-effects meta-analysis.

RESULTS

The current study uncovered 23 pre-existing conditions significantly associated with the COVID-19 severity PRS in cohort-specific analyses, of which 21 were observed in the UKB cohort and two in the MGI cohort. The meta-analysis yielded 27 significant phenotypes predominantly related to obesity, metabolic disorders, and cardiovascular conditions. After adjusting for body mass index, several clinical phenotypes, such as hypercholesterolemia and gastrointestinal disorders, remained associated with an increased risk of hospitalization following COVID-19 infection.

CONCLUSION

By employing PRS as a proxy for COVID-19 severity, we corroborated known risk factors and identified novel associations between pre-existing clinical phenotypes and COVID-19 severity. Our study highlights the potential value of using PRS when actual outcome data may be limited or inadequate for robust analyses.

Ten health policy challenges for the next 10 years

Health policies and associated research initiatives are constantly evolving and changing. In recent years, there has been a dizzying increase in research on emerging topics such as the implications of changing public and private health payment models, the global impact of pandemics, novel initiatives to tackle the persistence of health inequities, broad efforts to reduce the impact of climate change, the emergence of novel technologies such as whole-genome sequencing and artificial intelligence, and the increase in consumer-directed care. This evolution demands future-thinking research to meet the needs of policymakers in translating science into policy. In this paper, the Health Affairs Scholar editorial team describes "ten health policy challenges for the next 10 years." Each of the ten assertions describes the challenges and steps that can be taken to address those challenges. We focus on issues that are traditionally studied by health services researchers such as cost, access, and quality, but then examine emerging and intersectional topics: equity, income, and justice; technology, pharmaceuticals, markets, and innovation; population health; and global health.

Integrating China in the international consortium for personalised medicine. a position paper on healthcare professionals' education and citizens' empowerment in personalised medicine

BACKGROUND

Personalised medicine (PM) has been fostered by technological and medical advances, but all stakeholders, including healthcare professionals, citizens and policy makers, should achieve adequate health literacy to promote PM implementation. The "Integrating China in the International Consortium for Personalised Medicine" (IC2PerMed) project, funded by the International Consortium for Personalised Medicine, focuses on this issue by highlighting the need to educate healthcare professionals and empower citizens. Within the aforementioned project, building on a mapping of European and Chinese policies in PM, experts in the field of PM participated in an online workshop and a following two-round Delphi survey, in order to identify the priority areas of intervention for healthcare professionals' education and curricula, engagement and empowerment of citizens and patients.

RESULTS

Nine experts completed the survey and reached a consensus on seventeen priorities: seven were related to health professionals' education and curricula, whereas ten on citizen and patients' awareness and empowerment.

CONCLUSION

These priorities emphasized the importance of education and health literacy, multidisciplinary and international collaboration, public trust, and consideration of ethical, legal, and social issues. The present experience highlights the relevance of the involvement of stakeholders in informing decision-makers, developing appropriate national plans, strategies, and policies, and ensuring the adequate implementation of PM in health systems.

Comparative Analysis of Clinical Practice Guidelines for the Pharmacological Treatment of Type 2 Diabetes Mellitus in Latin America

PURPOSE OF REVIEW

Type 2 diabetes mellitus (T2DM) is one of the leading causes of death and disability in the world. The majority of diabetes deaths (> 80%) occur in low- and middle-income countries, which are predominant in Latin America. Therefore, the purpose of this article is to compare the clinical practice guideline (CPG) for the pharmacological management of T2DM in Latin America (LA) with international reference guidelines.

RECENT FINDINGS

Several LA countries have recently developed CPGs. However, the quality of these guidelines is unknown according to the AGREE II tool and taking as reference three CPGs of international impact: American Diabetes Association (ADA), European Diabetes Association (EASD), and Latin American Diabetes Association (ALAD). Ten CPGs were selected for analysis. The ADA scored > 80% on the AGREE II domains and was selected as the main comparator. Eighty percent of LA CPGs were developed before 2018. Only one was not recommended (all domains < 60%). The CPGs in LA have good quality but are outdated. They have significant gaps compared to the reference. There is a need for improvement, as proposing updates every three years to maintain the best available clinical evidence in all guidelines.

Development of strategies for community engaged research dissemination by basic scientists: a case study

As depicted in the translational research continuum, dissemination of research findings to past research participants and the community-at-large is integral to improving health outcomes. Blocks in translation exist in which poor dissemination is a major contributor. Limited progress has been made on how to engage basic scientists at T1 and T2 phases to meaningfully disseminate study findings to community. Our objective is to report on 4 cases of community engaged research dissemination activities among 3 basic scientists (ie, a cancer biologist, a biochemist, and a molecular biologist.): a townhall, a radio listening session, a community newsletter, and a Facebook Live segment. The Meharry Community Engagement Core dissemination team designed these activities using community informed processes. To plan and conduct these activities, a basic scientist is partnered with a community engaged researcher and a community-based organization to create a dissemination product which can be understood and potentially used by past research participants and the community-at-large. We share reflections from basic scientists, community organizations, and event participants. Finally, we provide competencies, informed by basic scientists, needed to engage in effective, community-engaged research dissemination. The activities, reflections, and competencies can be used by basic scientists and academic institutions as models to guide their community engaged research dissemination activities. This work supports the goal to bridge the translational research gap.

Health inequity in genomic personalized medicine in underrepresented populations: a look at the current evidence

Improvements in sequencing technology coupled with dramatic declines in the cost of genome sequencing have led to a proportional growth in the size and number of genetic datasets since the release of the human genetic sequence by The Human Genome Project (HGP) international consortium. The HGP was undeniably a significant scientific success, a turning point in human genetics and the beginning of human genomics. This burst of genetic information has led to a greater understanding of disease pathology and the potential of employing this data to deliver more precise patient care. Hence, the recognition of high-penetrance disease-causing mutations which encode drivers of disease has made the management of most diseases more specific. Nonetheless, while genetic scores are becoming more extensively used, their application in the real world is expected to be limited due to the lack of diversity in the data used to construct them. Underrepresented populations, such as racial and ethnic minorities, low-income individuals, and those living in rural areas, often experience greater health disparities and worse health outcomes compared to the general population. These disparities are often the result of systemic barriers, such as poverty, discrimination, and limited access to healthcare. Addressing health inequity in underrepresented populations requires addressing the underlying social determinants of health and implementing policies and programs which promoted health equity and reduce disparities. This can include expanding access to affordable healthcare, addressing poverty and unemployment, and promoting policies that combat discrimination and racism.

Exploring the clinical translation intensity of papers published by the world's top scientists in basic medicine

The extent to which basic medical research is translated into clinical practice is a topic of interest to all stakeholders. In this study, we assessed the clinical translation intensity of papers published by scientists who have made outstanding contributions to the field of basic medicine (Lasker Prize winners for Basic Medical Research). Approximate Potential for Translation (APT), Translational science scores (TS), and Citations by clinical research (Cited by Clin.) were analyzed as dependent variables. A traditional citation indicator was used as a reference (relative citation ratio, RCR). In order to examine the correlation between these different indicators and the characteristics of the paper, the author, and the institution. we used nonparametric tests, Spearman correlations, ordinal least squares regressions (OLS), quantile regressions, and zero-inflated negative binomial regression methods. We found that among the basic medical research papers published by Lasker Basic Medicine Award winners, (1) 20% are cited by clinical research; 11.6% of the papers were more valuable for clinical research than basic research; 12.8% have a probability of more than 50% to be cited in future clinical studies; (2) Spearman correlations were conducted among APT, TS, Cited by Clin., RCR, and all of the other continuous variables. There is a significant, positive, low to moderate correlation between APT, TS, and Cited by Clin (APT and TS: r = 0.549, p < 0.01; APT and Cited by Clin: r = 0.530, p < 0.01; TS and Cited by Clin: r = 0.383, p < 0.01). However, the relationship between RCR and the three indicators of clinical translation intensity was not consistent. APT was positively correlated with RCR (r = 0.553, p < 0.01). Cited by Clin. is weakly positively correlated with RCR (r = 0.381, p < 0.01). There is almost no correlation between TS and RCR (r = 0.184, p < 0.01). (3) Publication age, primary research paper, multidisciplinary science, number of disciplines, authors, institutions, funded projects, references, length of the title, length of paper, physical age, gender, nationality, institutional type, Nobel Prize have a significant relationship with 1 to 3 types of clinical translation intensity measures. In a sample of basic medical research papers published by the world's top scientists in basic medicine, we came to the following conclusions: the three indicators, APT, TS and Cited by Clin., measured the clinical translation intensity of the papers from different perspectives. They are both related to each other and have their own characteristics. In a sample of basic medical research papers published by the world's top scientists in basic medicine, characteristics at the paper, winner, and institution level significantly correlated with the measures of clinical translation intensity. Gender effect on the clinical translation intensity of papers was confirmed. Traditional citation-based indicators and translational-focused indicators measure academic impact and clinical impact respectively. There is a certain degree of disconnect between them. Two types of indicators should be used in combination in future assessments of basic medical research.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11192-023-04634-4.

The rocky road to translational science: An analysis of Clinical and Translational Science Awards

Studies point out that the productivity decline in biomedicine is in significant part due to difficulties in translating basic science into clinical application. To promote translational research, the US NIH launched the Clinical and Translational Science Awards (CTSA) program in 2006. Prior evaluations of the CTSA program often assumed that the key to translation is inter-organizational collaboration or multidisciplinarity; hence, changes in either of these were measured as evidence of translational science. However, using novel measures of translational science, this study examines the relationship between CTSAs and translational science per se. We define ‘translational science’ as basic science that has translational features, and we employ two distinct, complementary measures of translational science based on publication data. Using 115 Carnegie R1 universities and their translational science publications, we find that receiving a CTSA does not obviously cause receiving institutions to conduct more translational science. Furthermore, our Principal Investigator-level analysis shows that those who received direct support from the CTSA program had already generated more translational science than others and that their research behavior did not change significantly after receiving a CTSA. Future evaluation research can adopt our novel measures of translational science and evaluation research design in the assessment of translational research activities. Finally, we conclude with a discussion of the implications of our findings for science governance.

Exploring Genetic and Neural Risk of Specific Reading Disability within a Nuclear Twin Family Case Study: A Translational Clinical Application

Imaging and genetic studies have characterized biological risk factors contributing to specific reading disability (SRD). The current study aimed to apply this literature to a family of twins discordant for SRD and an older sibling with reading difficulty. Intraclass correlations were used to understand the similarity of imaging phenotypes between pairs. Reading-related genes and brain region phenotypes, including asymmetry indices representing the relative size of left compared to right hemispheric structures, were descriptively examined. SNPs that corresponded between the SRD siblings and not the typically developing (TD) siblings were in genes ZNF385D, LPHN3, CNTNAP2, FGF18, NOP9, CMIP, MYO18B, and RBFOX2. Imaging phenotypes were similar among all sibling pairs for grey matter volume and surface area, but cortical thickness in reading-related regions of interest (ROIs) was more similar among the siblings with SRD, followed by the twins, and then the TD twin and older siblings, suggesting cortical thickness may differentiate risk for this family. The siblings with SRD had more symmetry of cortical thickness in the transverse temporal and superior temporal gyri, while the TD sibling had greater rightward asymmetry. The TD sibling had a greater leftward asymmetry of grey matter volume and cortical surface area in the fusiform, supramarginal, and transverse temporal gyrus. This exploratory study demonstrated that reading-related risk factors appeared to correspond with SRD within this family, suggesting that early examination of biological factors may benefit early identification. Future studies may benefit from the use of polygenic risk scores or machine learning to better understand SRD risk.

Clinical genetic counseling and translation considerations for polygenic scores in personalized risk assessments: A Practice Resource from the National Society of Genetic Counselors

Polygenic scores (PGS) are primed for use in personalized risk assessments for common, complex conditions and population health screening. Although there is growing evidence supporting the clinical validity of these scores in certain diseases, presently, there is no consensus on best practices for constructing PGS or demonstrated clinical utility in practice. Despite these evidence gaps, individuals can access their PGS information through commercial entities, research programs, and clinical programs. This prompts the immediate need for educational resources for clinicians encountering PGS information in clinical practice. This practice resource is intended to increase genetic counselors' and other healthcare providers' understanding and comfort with PGS used in personalized risk assessments. Drawing on best practices in clinical genomics, we discuss the unique considerations for polygenic-based (1) testing, (2) clinical genetic counseling, and (3) translation to population health services. This practice resource outlines the emerging uses of PGS, as well as the critical limitations of this technology that need to be addressed before wide-scale implementation.

Factors Associated with the Uptake of Genetic Testing for Cancer Risks: A Pathway Analysis Using the Health Information National Trends Survey Data

Our study aimed to identify pathways from the source of information to the uptake of cancer genetic testing, with consideration of intermediate variables including perceptional, attitudinal and psychosocial factors. We used the Health Information National Trends Survey (2020 database) and constructed a structural equation model for pathway analysis (using SPSS version 24). Variables for socio-demographic, lifestyle and health information were also collected and used for confounding adjustment. A total of 2941 participants were analyzed (68.5%, non-Hispanic white; 59.7%, females; 58 years, median age; and 142 (4.8%) had undertaken genetic testing for cancer risk previously). Our pathway analysis found that only information from particular sources (i.e., healthcare providers and genetic counsellors) had positive and significant effects on people’s perceptions of cancer regarding its prevention, detection and treatment (standardized β range, 0.15−0.31, all p-values < 0.01). Following the paths, these perceptional variables (cancer prevention, detection and treatment) showed considerable positive impacts on the uptake of genetic testing (standardized β (95% CIs): 0.25 (0.20, 0.30), 0.28 (0.23, 0.33) and 0.12 (0.06, 0.17), respectively). Pathways involving attitudinal and psychosocial factors showed much smaller or insignificant effects on the uptake of genetic testing. Our study brings several novel perspectives to the behavior model and may underpin certain issues regarding cancer risk genetic testing.

Breakthrough of extracellular vesicles in pathogenesis, diagnosis and treatment of osteoarthritis

Osteoarthritis (OA) is a highly prevalent whole-joint disease that causes disability and pain and affects a patient's quality of life. However, currently, there is a lack of effective early diagnosis and treatment. Although stem cells can promote cartilage repair and treat OA, problems such as immune rejection and tumorigenicity persist. Extracellular vesicles (EVs) can transmit genetic information from donor cells and mediate intercellular communication, which is considered a functional paracrine factor of stem cells. Increasing evidences suggest that EVs may play an essential and complex role in the pathogenesis, diagnosis, and treatment of OA. Here, we introduced the role of EVs in OA progression by influencing inflammation, metabolism, and aging. Next, we discussed EVs from the blood, synovial fluid, and joint-related cells for diagnosis. Moreover, we outlined the potential of modified and unmodified EVs and their combination with biomaterials for OA therapy. Finally, we discuss the deficiencies and put forward the prospects and challenges related to the application of EVs in the field of OA.

Methods to improve the translation of evidence-based interventions: A primer on dissemination and implementation science for occupational safety and health researchers and practitioners

Objective

A limited focus on dissemination and implementation (D&I) science has hindered the uptake of evidence-based interventions (EBIs) that reduce workplace morbidity and mortality. D&I science methods can be used in the occupational safety and health (OSH) field to advance the adoption, implementation, and sustainment of EBIs for complex workplaces. These approaches should be responsive to contextual factors, including the needs of partners and beneficiaries (such as employers, employees, and intermediaries).

Methods

By synthesizing seminal literature and texts and leveraging our collective knowledge as D&I science and/or OSH researchers, we developed a D&I science primer for OSH. First, we provide an overview of common D&I terminology and concepts. Second, we describe several key and evolving issues in D&I science: balancing adaptation with intervention fidelity and specifying implementation outcomes and strategies. Next, we review D&I theories, models, and frameworks and offer examples for applying these to OSH research. We also discuss widely used D&I research designs, methods, and measures. Finally, we discuss future directions for D&I science application to OSH and provide resources for further exploration.

Results

We compiled a D&I science primer for OSH appropriate for practitioners and evaluators, especially those newer to the field.

Conclusion

This article fills a gap in the OSH research by providing an overview of D&I science to enhance understanding of key concepts, issues, models, designs, methods and measures for the translation into practice of effective OSH interventions to advance the safety, health and well-being of workers.

Applying Translational Science Approaches to Protect Workers Exposed to Nanomaterials

Like nanotechnology, translational science is a relatively new and transdisciplinary field. Translational science in occupational safety and health (OSH) focuses on the process of taking scientific knowledge for the protection of workers from the lab to the field (i.e., the worksite/workplace) and back again. Translational science has been conceptualized as having multiple phases of research along a continuum, beyond scientific discovery (T0), to efficacy (T1), to effectiveness (T2), to dissemination and implementation (D&I) (T3), to outcomes and effectiveness research in populations (T4). The translational research process applied to occupational exposure to nanomaterials might involve similar phases. This builds on basic and efficacy research (T0 and T1) in the areas of toxicology, epidemiology, industrial hygiene, medicine and engineering. In T2, research and evidence syntheses and guidance and recommendations to protect workers may be developed and assessed for effectiveness. In T3, emphasis is needed on D&I research to explore the multilevel barriers and facilitators to nanotechnology risk control information/research adoption, use, and sustainment in workplaces. D&I research for nanomaterial exposures should focus on assessing sources of information and evidence to be disseminated /implemented in complex and dynamic workplaces, how policy-makers and employers use this information in diverse contexts to protect workers, how stakeholders inform these critical processes, and what barriers impede and facilitate multilevel decision-making for the protection of nanotechnology workers. The T4 phase focuses on how effective efforts to prevent occupational exposure to nanomaterials along the research continuum contribute to large-scale impact in terms of worker safety, health and wellbeing (T4). Stakeholder input and engagement is critical to all stages of the translational research process. This paper will provide: (1) an illustration of the translational research continuum for occupational exposure to nanomaterials; and (2) a discussion of opportunities for applying D&I science to increase the effectiveness, uptake, integration, sustainability, and impact of interventions to protect the health and wellbeing of workers in the nanotechnology field.

Integrated, cross-sectoral psycho-oncology (isPO): a new form of care for newly diagnosed cancer patients in Germany

Background

The annual incidence of new cancer cases has been increasing worldwide for many years, and is likely to continue to rise. In Germany, the number of new cancer cases is expected to increase by 20% until 2030. Half of all cancer patients experience significant emotional and psychosocial distress along the continuum of their disease, treatment, and aftercare, and also as long-term survivors. Consequently, in many countries, psycho-oncological programs have been developed to address this added burden at both the individual and population level. These programs promote the active engagement of patients in their cancer therapy, aftercare and survivorship planning and aim to improve the patients' quality of life.

In Germany, the “new form of care isPO” (“nFC-isPO”; integrated, cross-sectoral psycho-oncology/integrierte, sektorenübergreifende Psycho-Onkologie) is currently being developed, implemented and evaluated. This approach strives to accomplish the goals devised in the National Cancer Plan by providing psycho-oncological care to all cancer patients according to their individual healthcare needs. The term “new form of care" is defined by the Innovation Fund (IF) of Germany's Federal Joint Committee as “a structured and legally binding cooperation between different professional groups and/or institutions in medical and non-medical care”.

The nFC-isPO is part of the isPO project funded by the IF. It is implemented in four local cancer centres and is currently undergoing a continuous quality improvement process. As part of the isPO project the nFC-isPO is being evaluated by an independent institution: the Institute for Medical Sociology, Health Services Research, and Rehabilitation Science (IMVR), University of Cologne, Germany.

The four-year isPO project was selected by the IF to be eligible for funding because it meets the requirements of the federal government's National Cancer Plan (NCP), in particular, the “further development of the oncological care structures and quality assurance" in the psycho-oncological domain. An independent evaluation is required by the IF to verify if the new form of care leads to an improvement in cross-sectoral care and to explore its potential for permanent integration into the German health care system.

Methods

The nFC-isPO consists of six components: a concept of care (C1), care pathways (C2), a psycho-oncological care network (C3), a care process organization plan (C4), an IT-supported documentation and assistance system (C5) and a quality management system (C6). The two components concept of care (C1) and care pathways (C2) represent the isPO clinical care program, according to which the individual cancer patients are offered psycho-oncological services within a period of 12 months after program enrolment following the diagnosis of cancer. The remaining components (C3-C6) represent the formal-administrative aspects of the nFC-isPO that are intended to meet the legally binding requirements of patient care in the German health care system. With the aim of systematic development of the nFC-isPO while at the same time enabling the external evaluators to examine its quality, effectiveness and efficiency under conditions of routine care, the project partners took into consideration approaches from translational psycho-oncology, practice-based health care research and program theory. In order to develop a structured, population-based isPO care program, reference was made to a specific program theory, to the stepped-care approach, and also to evidence-based guideline recommendations.

Results

The basic version, nFC-isPO, was created over the first year after the start of the isPO project in October 2017, and has since been subject to a continuous quality improvement process. In 2019, the nFC-isPO was implemented at four local psycho-oncological care networks in the federal state North Rhine-Westphalia, in Germany. The legal basis of the implementation is a contract for "special care" with the German statutory health insurance funds according to state law (§ 140a SCB V; Social Code Book V for the statutory health insurance funds). Besides the accompanying external evaluation by the IMVR, the nFC-isPO is subjected to quarterly internal and cross-network quality assurance and improvement measures (internal evaluation) in order to ensure continuous quality improvement process. These quality management measures are developed and tested in the isPO project and are to be retained in order to ensure the sustainability of the quality of nFC-isPO for later dissemination into the German health care system.

Discussion

Demands on quality, effectiveness and cost-effectiveness of in the German health care system are increasing, whereas financial resources are declining, especially for psychosocial services. At the same time, knowledge about evidence-based screening, assessment and intervention in cancer patients and about the provision of psychosocial oncological services is growing continuously. Due to the legal framework of the statutory health insurance in Germany, it has taken years to put sound psycho-oncological findings from research into practice. Ensuring the adequate and sustainable financing of a needs-oriented, psycho-oncological care approach for all newly diagnosed cancer patients, as required by the NCP, may still require many additional years. The aim of the isPO project is to develop a new form of psycho-oncological care for the individual and the population suffering from cancer, and to provide those responsible for German health policy with a sound basis for decision-making on the timely dissemination of psycho-oncological services in the German health care system.

Trial registration

The study was pre-registered at the German Clinical Trials Register (https://www.drks.de/DRKS00015326) under the following trial registration number: DRKS00015326; Date of registration: October 30, 2018.

Big splashes & ripple effects: a narrative review of the short- & long-term impact of publications supported by an NIH CTSA pediatrics program

BACKGROUND AND OBJECTIVE

This review examines a promising new framework for analyzing outputs of pediatric research in the context of translational advancement. We demonstrate a method for evaluating the impact of an NIH Clinical and Translational Science Award's (CTSA) Pediatrics Program through publications that have emerged from supported research. The Georgia CTSA Pediatrics Program provides training, funding, and infrastructure to ensure that researchers have the resources to advance pediatric health. Internal evaluations found that research supported by this program is exceptionally impactful within the academic community and commands high interest within the lay community. Therefore, we examined the impact of this research in both traditional academic and broader community spheres using bibliometrics-the study of supported publications. Bibliometrics describe a pivotal stage in the translational process of bringing scientific discoveries to clinical/community use and include both academic citations and 'altmetric' or non-academic attention. These complementary approaches combine to shed light on the short- and long-term impact of the research on segments of the translational pipeline, including academic literature, community discourse, technological advancement, and public health policy.

METHODS

The authors identified a portfolio of 250 articles supported by the Georgia CTSA Pediatrics Program from 2007-2020. We utilized various bibliometrics to analyze both short-term attention, or 'splash' made by articles, and long-term influence, or 'ripples' made across both academic and public spheres.

KEY CONTENT AND FINDINGS

The short-term splash of the portfolio was indicated through publication in high-impact factor journals, peer faculty recommendations, and Mendeley readership, as well as by early altmetric attention in news stories, blogs, and Twitter posts. The portfolio's long-term ripples were demonstrated by high absolute and relative rates of academic citation and by downstream altmetric influence in public-facing documents, including Wikipedia articles, patent applications, and policy documents.

CONCLUSIONS

This article reviews a useful bibliometric methodology for illustrating the waves of impact made by pediatric research. Whereas splash provides a picture of early interest in a publication, a preliminary indicator of eventual utility and impact, ripples provide a measure of the cumulative influence of an article over time. Both reflect opportunities for a line of research to advance along the translational spectrum.

Guidelines for artificial intelligence in medicine: A literature review and content analysis of frameworks (Preprint)

Background

Artificial intelligence (AI) is rapidly expanding in medicine despite a lack of consensus on its application and evaluation.

Objective

We sought to identify current frameworks guiding the application and evaluation of AI for predictive analytics in medicine and to describe the content of these frameworks. We also assessed what stages along the AI translational spectrum (ie, AI development, reporting, evaluation, implementation, and surveillance) the content of each framework has been discussed.

Methods

We performed a literature review of frameworks regarding the oversight of AI in medicine. The search included key topics such as “artificial intelligence,” “machine learning,” “guidance as topic,” and “translational science,” and spanned the time period 2014-2022. Documents were included if they provided generalizable guidance regarding the use or evaluation of AI in medicine. Included frameworks are summarized descriptively and were subjected to content analysis. A novel evaluation matrix was developed and applied to appraise the frameworks’ coverage of content areas across translational stages.

Results

Fourteen frameworks are featured in the review, including six frameworks that provide descriptive guidance and eight that provide reporting checklists for medical applications of AI. Content analysis revealed five considerations related to the oversight of AI in medicine across frameworks: transparency, reproducibility, ethics, effectiveness, and engagement. All frameworks include discussions regarding transparency, reproducibility, ethics, and effectiveness, while only half of the frameworks discuss engagement. The evaluation matrix revealed that frameworks were most likely to report AI considerations for the translational stage of development and were least likely to report considerations for the translational stage of surveillance.

Conclusions

Existing frameworks for the application and evaluation of AI in medicine notably offer less input on the role of engagement in oversight and regarding the translational stage of surveillance. Identifying and optimizing strategies for engagement are essential to ensure that AI can meaningfully benefit patients and other end users.

Brazilian diagnostic tests: essential health supplies for COVID-19 syndromic surveillance

ABSTRACT There is much evidence suggesting that mitigating the COVID-19 pandemic requires syndromic surveillance and isolation of suspected/confirmed cases. The availability of diagnostic tests in the Brazilian Unified Health System (SUS) is essential, which could be facilitated by national sovereignty in development and production, considering the high demand/lack of supply in the international market. This study identified the stages of translational research into diagnostic tests for COVID-19 in Brazil, verifying their geographic distribution, among other indicators. A cross-sectional, exploratory study based on a public database with 789 Research, Development, and Innovation (RD&I) projects regarding COVID-19, complemented by other searches, including the researchers’ curricula (CVLattes). There were 89 diagnostic test projects in the database. In 45 cases, it was possible to obtain additional information to classify them according to the translational research stages. Fifteen innovations that reached the T3 stage were identified, with their products incorporated into clinical protocols in healthcare, even considering the deep budget restrictions in RD&I. Brazil has the potential to develop and implement technological products in the field of diagnostic tests for SARS-CoV-2. Public health RD&I policies need to be prioritized to expand national and international cooperation to promote effective national autonomy in syndromic surveillance and population health.

Testes diagnósticos nacionais: insumos essenciais para a vigilância sindrômica da Covid-19

RESUMO Existe ampla evidência que a contenção da pandemia de Covid-19 requer vigilância sindrômica e isolamento de casos suspeitos/confirmados. É essencial a disponibilidade de testes diagnósticos no Sistema Único de Saúde, que poderia ser facilitada pela soberania nacional no desenvolvimento e produção, considerando-se a alta demanda/escassez no mercado internacional. Este estudo identificou as etapas da pesquisa translacional de testes diagnósticos para Covid-19 no Brasil, verificando sua distribuição geográfica, entre outros indicadores. Estudo transversal, exploratório, partindo de banco público com 789 projetos de Pesquisa, Desenvolvimento e Inovação (PD&I) em Covid-19, complementado com outras buscas, inclusive no CVLattes dos pesquisadores. No banco, havia 89 projetos de testes diagnósticos. Em 45 casos, foi possível obter informações complementares para classificá-los conforme as etapas da pesquisa translacional. Identificaram-se 15 inovações que atingiram o estágio T3, ou seja, tiveram seus produtos incorporados em protocolos clínicos na atenção à saúde, mesmo considerando-se as profundas restrições orçamentárias em PD&I. O Brasil possui potencial de desenvolvimento e implementação de produtos tecnológicos na área de testes de diagnóstico para Sars-CoV-2. Políticas públicas de PD&I em saúde necessitam ser priorizadas para ampliação de cooperações nacionais e internacionais, a fim de promover efetiva autonomia nacional na vigilância sindrômica e à saúde da população.

Conceptualization of utility in translational clinical genomics research

Prior to integration into clinical care, a novel medical innovation is typically assessed in terms of its balance of benefits and risks, often referred to as utility. Members of multidisciplinary research teams may conceptualize and assess utility in different ways, which has implications within the translational genomics community and for the evidence base upon which clinical guidelines groups and healthcare payers make decisions. Ambiguity in the conceptualization of utility in translational genomics research can lead to communication challenges within research teams and to study designs that do not meet stakeholder needs. We seek to address the ambiguity challenge by describing the conceptual understanding of utility and use of the term by scholars in the fields of philosophy, medicine, and the social sciences of decision psychology and health economics. We illustrate applications of each field's orientation to translational genomics research by using examples from the Clinical Sequencing Evidence-Generating Research (CSER) consortium, and we provide recommendations for increasing clarity and cohesion in future research. Given that different understandings of utility will align to a greater or lesser degree with important stakeholders' views, more precise use of the term can help researchers to better integrate multidisciplinary investigations and communicate with stakeholders.

Improving Translational Paradigms in Drug Discovery and Development

Despite improved knowledge regarding disease causality, new drug targets, and enabling technologies, the attrition rate for compounds entering clinical trials has remained consistently high for several decades, with an average 90% failure rate. These failures are manifested in an inability to reproduce efficacy findings from animal models in humans and/or the occurrence of unexpected safety issues, and reflect failures in T1 translation. Similarly, an inability to sequentially demonstrate compound efficacy and safety in Phase IIa, IIb, and III clinical trials represents failures in T2 translation. Accordingly, T1 and T2 translation are colloquially termed 'valleys of death'. Since T2 translation dealt almost exclusively with clinical trials, T3 and T4 translational steps were added, with the former focused on facilitating interactions between laboratory- and population-based research and the latter on 'real world' health outcomes. Factors that potentially lead to T1/T2 compound attrition include: the absence of biomarkers to allow compound effects to be consistently tracked through development; a lack of integration/'de-siloing' of the diverse discipline-based and technical skill sets involved in drug discovery; the industrialization of drug discovery, which via volume-based goals often results in quantity being prioritized over quality; inadequate project governance and strategic oversight; and flawed decision making based on unreliable/irreproducible or incomplete data. A variety of initiatives have addressed this problem, including the NIH National Center for Advancing Translational Sciences (NCATS), which has focused on bringing an unbiased academic perspective to translation, to potentially revitalize the process. This commentary provides an overview of the basic concepts involved in translation, along with suggested changes in the conduct of biomedical research to avoid valleys of death, including the use of Translational Scoring as a tool to avoid translational attrition and the impact of the FDA Accelerated Approval Pathway in lowering the hurdle for drug approval. © 2021 Wiley Periodicals LLC.

Dissemination and Implementation Science Approaches for Occupational Safety and Health Research: Implications for Advancing Total Worker Health

Total Worker Health^® (TWH), an initiative of the U.S. National Institute for Occupational Safety and Health, is defined as policies, programs, and practices that integrate protection from work-related health and safety hazards by promoting efforts that advance worker well-being. Interventions that apply the TWH paradigm improve workplace health more rapidly than wellness programs alone. Evidence of the barriers and facilitators to the adoption, implementation, and long-term maintenance of TWH programs is limited. Dissemination and implementation (D&I) science, the study of methods and strategies for bridging the gap between public health research and practice, can help address these system-, setting-, and worker-level factors to increase the uptake, impact, and sustainment of TWH activities. The purpose of this paper is to draw upon a synthesis of existing D&I science literature to provide TWH researchers and practitioners with: (1) an overview of D&I science; (2) a plain language explanation of key concepts in D&I science; (3) a case study example of moving a TWH intervention down the research-to-practice pipeline; and (4) a discussion of future opportunities for conducting D&I science in complex and dynamic workplace settings to increase worker safety, health, and well-being.

A translational research framework for nurse practitioners

AIMS

This study aims to explore a proposed translational research continuum for nurse practitioners.

BACKGROUND

Nurse practitioners are acknowledged as clinical leaders responsible for transforming health care delivery. It is important that nurse practitioners contribute to health care knowledge using scientific processes for the implementation of evidence-based practice and evaluation of outcomes of interventions for their patient groups.

EVALUATION

This paper provides a review of translational research literature including implementation science to align nurse practitioner activities to a modified translational research framework.

KEY ISSUES

A translational research framework has the potential to strengthen nursing research in the nurse practitioner role. Adapting an accepted translational research continuum for nurse practitioners places the clinical nursing leaders in an equitable research position with all health care professionals.

IMPLICATIONS FOR NURSING MANAGEMENT

The translational research continuum provides nursing management with a structure to benchmark nursing research. The continuum applies a modern research framework to support research engagement for the nurse practitioner role.

Current concepts and molecular mechanisms in pharmacogenetics of essential hypertension

Hypertension is a leading age-related disease in our society and if left untreated, leads to fatal cardiovascular complications. The prevalence of hypertension has increased and becomes a significant global health economic burden, particularly in lower-income societies. Many loci associated with blood pressure and hypertension have been reported by genome-wide association studies that provided potential targets for pharmacotherapy. Pharmacogenetic research had shown interindividual variations in drug efficacy, safety, and tolerability. This could be due to genetic polymorphisms in the pharmacokinetics (genes involved in a transporter, plasma protein binding, and metabolism) or pharmacodynamic pathway (receptors, ion channels, enzymes). Pharmacogenetics promises great hope toward targeted therapy, but challenges remain in implementing pharmacogenetic aided antihypertensive therapy in clinical practice. Using various databases, we analyzed the underlying mechanisms between the candidate gene polymorphisms and antihypertensive drug interactions and the challenges of implementing precision medicine. We review the emergence of pharmacogenetics and its relevance to clinical pharmacological practice.

Translational Pharmacogenomics: Discovery, Evidence Synthesis and Delivery of Race-Conscious Medicine

Response to medications, the principal treatment modality for acute and chronic diseases, is highly variable, with 40-70% of patients exhibiting lack of efficacy or adverse drug reactions. With ~ 15-30% of this variability explained by genetic variants, pharmacogenomics has become a valuable tool in our armamentarium for optimizing treatments and is poised to play an increasing role in clinical care. This review presents the progress made toward elucidating genetic underpinnings of drug response including discovery of race/ancestry-specific pharmacogenetic variants and discusses the current evidence and evidence framework for actionability. The review is framed in the context of changing demographics and evolving views related to race and ancestry. Finally, it highlights the vital role played by cohort studies in elucidating genetic differences in drug response across race and ancestry and the informal collaborations that have enabled the field to bridge the "bench to bedside" translational gap.

Availability and funding of clinical genomic sequencing globally

The emergence of next-generation genomic sequencing (NGS) tests for use in clinical care has generated widespread interest around the globe, but little is known about the availability and funding of these tests worldwide. We examined NGS availability across world regions and countries, with a particular focus on availability of three key NGS tests—Whole-Exome Sequencing or Whole-Genome Sequencing for diagnosis of suspected genetic diseases such as intellectual disability disorders or rare diseases, non-invasive prenatal testing for common genetic abnormalities in fetuses and tumor sequencing for therapy selection and monitoring of cancer treatment. We found that these NGS tests are available or becoming available in every major region of the world. This includes both high-income countries with robust genomic programmes such as the USA and the UK, and growing availability in countries with upper-middle-income economies. We used exploratory case studies across three diverse health care systems (publicly funded/national (UK), publicly funded/provincial (Canada) and mixed private/public system (USA)) to illustrate the funding challenges and approaches used to address those challenges that might be adopted by other countries. We conclude by assessing what type of data and initiatives will be needed to better track and understand the use of NGS around the world as such testing continues to expand.

Advancing precision public health using human genomics: examples from the field and future research opportunities

Precision public health is a relatively new field that integrates components of precision medicine, such as human genomics research, with public health concepts to help improve population health. Despite interest in advancing precision public health initiatives using human genomics research, current and future opportunities in this emerging field remain largely undescribed. To that end, we provide examples of promising opportunities and current applications of genomics research within precision public health and outline future directions within five major domains of public health: biostatistics, environmental health, epidemiology, health policy and health services, and social and behavioral science. To further extend applications of genomics within precision public health research, three key cross-cutting challenges will need to be addressed: developing policies that implement precision public health initiatives at multiple levels, improving data integration and developing more rigorous methodologies, and incorporating initiatives that address health equity. Realizing the potential to better integrate human genomics within precision public health will require transdisciplinary efforts that leverage the strengths of both precision medicine and public health.

Recent scientific/intellectual movements in biomedicine

This study compares the trajectories of recent scientific/intellectual movements (SIMs) in biomedicine: evidence-based medicine, translational medicine, precision medicine, personalized medicine, stratified medicine, and genomic medicine. Drawing on bibliometric analysis of these six SIMs, this study identifies three patterns: field integration, niche creation, and disruptive insurgence. Field integration SIMs such as evidence-based medicine and translational medicine are characterized by centrality of key concept papers of the SIM in co-citation networks and dense institutional and country collaboration networks, signaling the resonance of the SIM to the broader biomedical community. In contrast, niche creation SIMs such as stratified medicine and genomic medicine are characterized by lower levels of annual scientific production, the lack centrality or connectivity of key concept papers in co-citation networks, and less density in collaboration networks. Disruptive insurgence SIMs such as precision medicine and personalized medicine are characterized by a high level of annual scientific production, driven by a smaller core of institutions and countries. This is likely a transitional stage as field disrupting SIMs can either become integrated with the broader field or become influential in niches. Proponents of the current push for precision medicine should ensure that a wide range of institutions and specialties be included while being mindful of the dominance of cancer and genomic approaches to health and medicine.

Knowledge translation for the everyday optometrist

A gap exists between best evidence and actual clinical care provided to patients. The advent of evidence-based practice was meant to address this gap by providing practitioners with a method to search, evaluate and incorporate evidence into practice. However, the gap continues to exist. The health research fields of knowledge translation and implementation science have evolved over the last few decades to assist practitioners in embedding research findings and best evidence into routine practice. Knowledge translation seeks to improve public health outcomes by facilitating the movement of best evidence from the bench to clinical practice. Implementation science is the study of methods to integrate research findings and evidence-based practice into routine practice. This literature review aims to revisit the concepts of evidence-based practice and to introduce knowledge translation and implementation science by exploring their roles and influences in the delivery of appropriate glaucoma care by optometrists.

The need for polygenic score reporting standards in evidence-based practice: lipid genetics use case

PURPOSE OF REVIEW

Polygenic scores (PGS) are used to quantify the genetic predisposition for heritable traits, with hypothesized utility for personalized risk assessments. Lipid PGS are primed for clinical translation, but evidence-based practice changes will require rigorous PGS standards to ensure reproducibility and generalizability. Here we review applicable reporting and technical standards for dyslipidemia PGS translation along phases of the ACCE (Analytical validity, Clinical validity, Clinical utility, Ethical considerations) framework for evaluating genetic tests.

RECENT FINDINGS

New guidance suggests existing standards for study designs incorporating the ACCE framework are applicable to PGS and should be adopted. One recent example is the Clinical Genomics Resource (ClinGen) and Polygenic Score Catalog's PRS reporting standards, which define minimal requirements for describing rationale for score development, study population definitions and data parameters, risk model development and application, risk model evaluation, and translational considerations, such as generalizability beyond the target population studied.

SUMMARY

Lipid PGS are likely to be integrated into clinical practice in the future. Clinicians will need to be prepared to determine if and when lipid PGS is useful and valid. This decision-making will depend on the quality of evidence for the clinical use of PGS. Establishing reporting standards for PGS will help facilitate data sharing and transparency for critical evaluation, ultimately benefiting the efficiency of evidence-based practice.

The Implementation Science for Genomic Health Translation (INSIGHT) Study in Epilepsy: Protocol for a Learning Health Care System

BACKGROUND

Genomic medicine is poised to improve care for common complex diseases such as epilepsy, but additional clinical informatics and implementation science research is needed for it to become a part of the standard of care. Epilepsy is an exemplary complex neurological disorder for which DNA diagnostics have shown to be advantageous for patient care.

OBJECTIVE

We designed the Implementation Science for Genomic Health Translation (INSIGHT) study to leverage the fact that both the clinic and testing laboratory control the development and customization of their respective electronic health records and clinical reporting platforms. Through INSIGHT, we can rapidly prototype and benchmark novel approaches to incorporating clinical genomics into patient care. Of particular interest are clinical decision support tools that take advantage of domain knowledge from clinical genomics and can be rapidly adjusted based on feedback from clinicians.

METHODS

Building on previously developed evidence and infrastructure components, our model includes the following: establishment of an intervention-ready genomic knowledge base for patient care, creation of a health informatics platform and linking it to a clinical genomics reporting system, and scaling and evaluation of INSIGHT following established implementation science principles.

RESULTS

INSIGHT was approved by the Institutional Review Board at the University of Texas Health Science Center at Houston on May 15, 2020, and is designed as a 2-year proof-of-concept study beginning in December 2021. By design, 120 patients from the Texas Comprehensive Epilepsy Program are to be enrolled to test the INSIGHT workflow. Initial results are expected in the first half of 2023.

CONCLUSIONS

INSIGHT's domain-specific, practical but generalizable approach may help catalyze a pathway to accelerate translation of genomic knowledge into impactful interventions in patient care.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/25576.

The future of translational research on alcohol use disorder

In March 2019, a scientific meeting was held at the University of California, Los Angeles (UCLA) Luskin Center to discuss approaches to expedite the translation of neurobiological insights to advances in the treatment of alcohol use disorder (AUD). A guiding theme that emerged was that while translational research in AUD is clearly a challenge, it is also a field ripe with opportunities. Herein, we seek to summarize and disseminate the recommendations for the future of translational AUD research using four sections. First, we briefly review the current landscape of AUD treatment including the available evidence-based treatments and their uptake in clinical settings. Second, we discuss AUD treatment development efforts from a translational science viewpoint. We review current hurdles to treatment development as well as opportunities for mechanism-informed treatment. Third, we consider models of translational science and public health impact. Together, these critical insights serve as the bases for a series of recommendations and future directions. Towards the goal of improving clinical care and population health for AUD, scientists are tasked with bolstering the clinical applicability of their research findings so as to expedite the translation of knowledge into patient care.

A purple patch for evidence-based health policy?

The global focus on nation states' responses to the COVID-19 pandemic has rightly highlighted the importance of science and evidence as the basis for policy action. Those with a lifelong passion for evidence-based policy (EBP) have lauded Australia's and other nations' policy responses to COVID-19 as a breakthrough moment for the cause. This article reflects on the complexity of the public policy process, the perspectives of its various actors, and draws on Alford's work on the Blue, Red and Purple zones to propose a more nuanced approach to advocacy for EBP in health. We contend that the pathway for translation of research evidence into routine clinical practice is relatively linear, in contrast to the more complex course for translation of evidence to public policy - much to the frustration of health researchers and EBP advocates. Cairney's description of the characteristics of successful policy entrepreneurs offers useful guidance to advance EBP and we conclude with proposing some practical mechanisms to support it. Finally, we recommend that researchers and policy makers spend more time in the Purple zone to enable a deeper understanding of, and mutual respect for, the unique contributions made by research, policy and political actors to sound public policy.

Matching methods in precision oncology: An introduction and illustrative example

BACKGROUND

Randomized controlled trials (RCTs) are uncommon in precision oncology. We provide an introduction and illustrative example of matching methods for evaluating precision oncology in the absence of RCTs. We focus on British Columbia's Personalized OncoGenomics (POG) program, which applies whole-genome and transcriptome analysis (WGTA) to inform advanced cancer care.

METHODS

Our cohort comprises 230 POG patients enrolled between 2014 and 2015 and matched POG-naive controls. We generated our matched cohort using 1:1 propensity score matching (PSM) and genetic matching prior to exploring survival differences.

RESULTS

We find that genetic matching outperformed PSM when balancing covariates. In all cohorts, overall survival did not significantly differ across POG and POG-naive patients (p > 0.05). Stratification by WGTA-informed treatment indicated unmatched survival differences. Patients whose WGTA information led to treatment change were at a reduced hazard of death compared to POG-naive controls in all cohorts, with estimated hazard ratios ranging from 0.33 (95% CI: 0.13, 0.81) to 0.41 (95% CI: 0.17, 0.98).

CONCLUSION

These results signal that clinical effectiveness of precision oncology approaches will depend on rates of genomics-informed treatment change. Our study will guide future evaluations of precision oncology and support reliable effect estimation when RCT data are unavailable.

Design of a study to implement population-based risk assessment for hereditary cancer genetic testing in primary care

Identifying patients with high genetic risk for cancer has important clinical ramifications, but hereditary cancer risk is often not identified because of testing barriers at both the provider and patient level. It is unknown how to best implement appropriate genetic testing and follow-up care into an operating primary care clinic. Implementation studies to date have been conducted in high resourced facilities under optimal conditions, often not at the clinic level. This study aims to compare and evaluate two population-wide engagement strategies for identifying members of a primary care clinic's population with a family or personal history of cancer and offering high-risk individuals genetic testing for cancer susceptibility mutations. The two engagement strategies are: 1) point of care screening (POC), conducted when a patient is scheduled for an appointment and 2) direct patient engagement (DPE), where outreach provides the patient an opportunity to complete screening online on their own time. The study will identify changes, problems, and inefficiencies in clinical flow during and after the implementation of risk assessment and genomic testing for cancer risk across primary care clinics. It will also evaluate the effects of the two engagement strategies on patient, provider, and clinic leader outcomes, including perceptions of benefits, harms, and satisfaction with the engagement strategy and process of cancer risk assessment and genetic testing, across gender, racial/ethnic, socioeconomic, and genetic literacy divides. Finally, the study will evaluate the cost-effectiveness and budget impact of each engagement strategy.

Identifying translational science through embeddings of controlled vocabularies

OBJECTIVE

Translational science aims at "translating" basic scientific discoveries into clinical applications. The identification of translational science has practicality such as evaluating the effectiveness of investments made into large programs like the Clinical and Translational Science Awards. Despite several proposed methods that group publications-the primary unit of research output-into some categories, we still lack a quantitative way to place articles onto the full, continuous spectrum from basic research to clinical medicine.

MATERIALS AND METHODS

I learn vector representations of controlled vocabularies assigned to Medline articles to obtain a translational axis that points from basic science to clinical medicine. The projected position of a term on the translational axis, expressed by a continuous quantity, indicates the term's "appliedness." The position of an article, determined by the average location over its terms, quantifies the degree of its appliedness, which I term the level score.

RESULTS

I validate the present method by comparing with previous techniques, showing excellent agreement yet uncovering significant variations of scores of articles in previously defined categories. The measure allows us to characterize the standing of journals, disciplines, and the entire biomedical literature along the basic-applied spectrum. Analysis on large-scale citation network reveals 2 main findings. First, direct citations mainly occurred between articles with similar scores. Second, shortest paths are more likely ended up with an article closer to the basic end of the spectrum, regardless of where the starting article is on the spectrum.

CONCLUSIONS

The proposed method provides a quantitative way to identify translational science.

Four Actionable Bottlenecks and Potential Solutions to Translating Psychiatric Genetics Research: An Expert Review

BACKGROUND

Psychiatric genetics has had limited success in translational efforts. A thorough understanding of the present state of translation in this field will be useful in the facilitation and assessment of future translational progress.

PURPOSE

A narrative literature review was conducted. Combinations of 3 groups of terms were searched in EBSCOhost, Google Scholar, and PubMed. The review occurred in multiple steps, including abstract collection, inclusion/exclusion criteria review, coding, and analysis of included papers.

RESULTS

One hundred and fourteen articles were analyzed for the narrative review. Across those, 4 bottlenecks were noted that, if addressed, may provide insights and help improve and increase translation in the field of psychiatric genetics. These 4 bottlenecks are emphasizing linear translational frameworks, relying on molecular genomic findings, prioritizing certain psychiatric disorders, and publishing more reviews than experiments.

CONCLUSIONS

These entwined bottlenecks are examined with one another. Awareness of these bottlenecks can inform stakeholders who work to translate and/or utilize psychiatric genetic information. Potential solutions include utilizing nonlinear translational frameworks as well as a wider array of psychiatric genetic information (e.g., family history and gene-environment interplay) in this area of research, expanding which psychiatric disorders are considered for translation, and when possible, conducting original research. Researchers are urged to consider how their research is translational in the context of the frameworks, genetic information, and psychiatric disorders discussed in this review. At a broader level, these efforts should be supported with translational efforts in funding and policy shifts.

5HTTLPR Genetic Variant and Major Depressive Disorder: A Review

Major Depressive Disorder (MDD) is a disease that involves biological, psychological, and social interactions. Studies have shown the importance of genetics contribution to MDD development. The SCL6A4 protein (5HTTLPR) functions transporting serotonin, a neurotransmitter linked to mood and emotion, to the synaptic cleft. Hence, this study seeks, through a literature review, a better comprehension of the 5HTTLPR genetic variant association with MDD. For this purpose, a search was performed on the Virtual Health Library Portal for articles that related 5HTTLPR to MDD. Most of the articles found were conducted in the American continent, with one (1) study implemented in Brazil. 5HTTLPR associations were found regarding changes in the nervous system, pharmacology, and risk factors seen in MDD patients. When verifying the allelic distribution, the S allele had a higher frequency in most of the studies analyzed. Despite not finding a commonality in the different studies, the tremendous genetic variation found demonstrates the MDD complexity. For this reason, further studies in diverse populations should be conducted to assist in the understanding and treatment of the disease.