Environmental Health Sciences in a Translational Research Framework: More than Benches and Bedsides

An Approach to Assessing the Influence of Environmental and Occupational Cancer Hazard Identification on Policy Decision-Making

BACKGROUND

Cancer hazard identification is critical to informing decisions on preventive actions. However, the influence of cancer hazard assessments on the creation of health-protective regulations is poorly understood. Although prior studies have measured the health and economic benefits of regulatory actions in general, we are not aware of efforts to explicitly study the influence of cancer hazard identification on policy decisions in the United States.

OBJECTIVES

In this commentary, we present an approach to examine whether formal identification of a substance as a human carcinogen may prompt a regulatory action to reduce exposure to carcinogens and enhance public health. Further, we discuss the broader implications of cancer hazard identification on policy decision-making, including identifying gaps and providing recommendations.

METHODS

Using the Report on Carcinogens (RoC) as a test case, we systematically searched U.S. federal and state databases for notices of regulations mentioning the RoC from 1995 to 2023. For each regulation, we extracted information on the carcinogen(s) regulated, the regulatory agency, the regulatory purpose, the economic sector exposure sources, and the analyzed public health benefits and costs. We created a publicly available, web-based interactive tool to visualize the data.

DISCUSSION

U.S. regulatory agencies have been using cancer hazard evaluations, such as the RoC, for decades to inform public health policy actions to prevent or mitigate cancer risks. Specifically, nonregulatory cancer hazard assessments have been used to prioritize chemical evaluations, support regulatory-based assessments, and trigger regulatory action. Our approach showed that assessing the influence of cancer hazard identification on science-based public health policies is feasible, informative, and needed, and our study is a first step in this direction. We recommend expanding this approach to other cancer and noncancer hazard assessments to ultimately inform our understanding of the influence of hazard classifications on policymaking. https://doi.org/10.1289/EHP12681.

An equitable, community-engaged translational framework for science in human lactation and infant feeding-a report from "Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)" Working Group 5

Human milk is the ideal source of nutrition for most infants, but significant gaps remain in our understanding of human milk biology. As part of addressing these gaps, the Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN) Project Working Groups 1-4 interrogated the state of knowledge regarding the infant-human milk-lactating parent triad. However, to optimize the impact of newly generated knowledge across all stages of human milk research, the need remained for a translational research framework specific to the field. Thus, with inspiration from the simplified environmental sciences framework of Kaufman and Curl, Working Group 5 of the BEGIN Project developed a translational framework for science in human lactation and infant feeding, which includes 5 nonlinear, interconnected translational stages, T1: Discovery; T2: Human health implications; T3: Clinical and public health implications; T4: Implementation; and T5: Impact. The framework is accompanied by 6 overarching principles: 1) Research spans the translational continuum in a nonlinear, nonhierarchical manner; 2) Projects engage interdisciplinary teams in continuous collaboration and cross talk; 3) Priorities and study designs incorporate a diverse range of contextual factors; 4) Research teams include community stakeholders from the outset through purposeful, ethical, and equitable engagement; 5) Research designs and conceptual models incorporate respectful care for the birthing parent and address implications for the lactating parent; 6) Research implications for real-world settings account for contextual factors surrounding the feeding of human milk, including exclusivity and mode of feeding. To demonstrate application of the presented translational research framework and its overarching principles, 6 case studies are included, each illustrating research gaps across all stages of the framework. Applying a translational framework approach to addressing gaps in the science of human milk feeding is an important step toward the aligned goals of optimizing infant feeding across diverse contexts as well as optimizing health for all.

Cross fertilisation of Public Health and Translational Research

Public health is defined as the science of protecting the safety and improving the health of communities through education, policy-making and research for the prevention of disease (Gatseva and Argirova in J Public Health 19(3):205-6, 2011, 10.1007/s10389-011-0412-8; Winslow in Mod Med 2(1306):183-91, 1920. 10.1126/science.51.1306.23; What is public health. Centers for Disease Control Foundation. Centers for Disease Control, Atlanta, https://www.cdcfoundation.org/what-public-health; What is the WHO definition of health? from the Preamble to the Constitution of WHO as adopted by the International Health Conference, New York, On 7 April 1948. The definition has not been amended since. 22 July 1946; signed by the representatives of 61 States (Official Records of WHO, no. 2, p. 100) and entered into force, 19 June;1948. https://web.archive.org/web/20190307113324/https:/www.who.int/about/who-we-are/frequently-asked-questions). Translational research in healthcare is not only useful and satisfying for the researchers to bring their work to market but it would also support public health by bringing affordable, attainable and scalable solutions to the community at large. This is of high significance because instead of increasing the GDP spent in public health, we should focus on the increasing the translational research spending, as this would lead to improved solutions. Hence, the public health offering would reach a larger community at an improved cost. The COVID-19 pandemic and the huge number of lives it claimed exposes challenges in the public health. The pandemic has caused economic and social disruption to millions of people around the world, with many falling into extreme poverty. In early 2021, it was estimated nearly 690 million people are undernourished and by end of 2021 to increase further by 132 million (Joint statement by ILO, FAO, IFAD and WHO. Impact of COVID-19 on people's livelihoods, their health and our food systems https://www.who.int/news/item/13-10-2020-impact-of-covid-19-on-people's-livelihoods-their-health-and-our-food-systems). The spending for public health has increased many folds during the pandemic and this is where translational research in healthcare can play a transformative role to reduce the burden on government healthcare budget (Covid-19 and its impact on Indian society. https://timesofindia.indiatimes.com/readersblog/covid-19-and-its-impact-on-india/covid-19-and-its-impact-on-indian-society-27565/). Over the past decade, public health research has started playing a major role in Indian academic settings. COVID-19 pandemic has further highlighted the role of public health. However, the potential of using technological advancement has not been fully utilised. This is where translational research and public health can play a role to tap the full potential of technology. This review paper explores the public health practices to understand the different practices to examine how both public health and translational research can cross-fertilise. It concludes with a short discussion on implications on policymakers.

Implementation of Zebrafish Ontologies for Toxicology Screening

Toxicological evaluation of chemicals using early-life stage zebrafish (Danio rerio) involves the observation and recording of altered phenotypes. Substantial variability has been observed among researchers in phenotypes reported from similar studies, as well as a lack of consistent data annotation, indicating a need for both terminological and data harmonization. When examined from a data science perspective, many of these apparent differences can be parsed into the same or similar endpoints whose measurements differ only in time, methodology, or nomenclature. Ontological knowledge structures can be leveraged to integrate diverse data sets across terminologies, scales, and modalities. Building on this premise, the National Toxicology Program’s Systematic Evaluation of the Application of Zebrafish in Toxicology undertook a collaborative exercise to evaluate how the application of standardized phenotype terminology improved data consistency. To accomplish this, zebrafish researchers were asked to assess images of zebrafish larvae for morphological malformations in two surveys. In the first survey, researchers were asked to annotate observed malformations using their own terminology. In the second survey, researchers were asked to annotate the images from a list of terms and definitions from the Zebrafish Phenotype Ontology. Analysis of the results suggested that the use of ontology terms increased consistency and decreased ambiguity, but a larger study is needed to confirm. We conclude that utilizing a common data standard will not only reduce the heterogeneity of reported terms but increases agreement and repeatability between different laboratories. Thus, we advocate for the development of a zebrafish phenotype atlas to help laboratories create interoperable, computable data.

Advancing Translational Research in Environmental Science: The Role and Impact of Social Sciences

Increasing recognition of the complexity of environmental problems and the need to understand social processes and human values is leading environmental management agencies in many nations, including the USA, to integrate more research from the social sciences through the inclusion of social scientists on interdisciplinary teams. For this study we conducted focus groups at three research laboratories within the U.S. Environmental Protection Agency's Office of Research and Development to better understand how inclusion of social sciences influenced the research process and outcomes, and the barriers to and facilitators of integration. The focus groups identified effects on the research process including improved problem framing, the introduction of new methodologies, and greater stakeholder and public inclusion, while research outcomes included the inclusion or refinement of social and environmental perspectives and systems thinking, increased translatability of research, and new partnerships. Barriers identified included lack of familiarity with social sciences which affected perceptions of social sciences and organizational capacity to absorb and apply social science expertise. Facilitators included receptivity of team members, intentional communication strategies, and project structures and organizational commitment that support interdisciplinary work. Finding a key barrier to be lack of clarity about the different roles social sciences play in translational research, we present a conceptual model defining the roles and contributions of social scientists that clarifies the distinction between "integration" of social sciences in research and "application" of skills and knowledge from the social sciences which play distinct but equally important roles in translational research approaches and solutions-driven research. These insights on the ways social sciences contribute to translational research efforts advance integration of social and natural sciences in environmental science research, particularly in applied contexts.

Translational data analytics in exposure science and environmental health: a citizen science approach with high school students

BACKGROUND

Translational data analytics aims to apply data analytics principles and techniques to bring about broader societal or human impact. Translational data analytics for environmental health is an emerging discipline and the objective of this study is to describe a real-world example of this emerging discipline.

METHODS

We implemented a citizen-science project at a local high school. Multiple cohorts of citizen scientists, who were students, fabricated and deployed low-cost air quality sensors. A cloud-computing solution provided real-time air quality data for risk screening purposes, data analytics and curricular activities.

RESULTS

The citizen-science project engaged with 14 high school students over a four-year period that is continuing to this day. The project led to the development of a website that displayed sensor-based measurements in local neighborhoods and a GitHub-like repository for open source code and instructions. Preliminary results showed a reasonable comparison between sensor-based and EPA land-based federal reference monitor data for CO and NOx.

CONCLUSIONS

Initial sensor-based data collection efforts showed reasonable agreement with land-based federal reference monitors but more work needs to be done to validate these results. Lessons learned were: 1) the need for sustained funding because citizen science-based project timelines are a function of community needs/capacity and building interdisciplinary rapport in academic settings and 2) the need for a dedicated staff to manage academic-community relationships.