ArticleEnvironmental health perspectives2015
Lessons from Toxicology: Developing a 21st-Century Paradigm for Medical Research.
Article in Environmental health perspectives, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Effect of Non-Ionizing Radiations on Liver and Kidney Function Tests in an Animal Model.Journal of biomedical physics & engineering · 2025Article
- Exploring health and toxicity in food choices: 10 examples navigating the gray area.Frontiers in nutrition · 2023Review
- Causal Biological Network Model for Inflammasome Signaling Applied for Interpreting Transcriptomic Changes in Various Inflammatory States.International journal of inflammation · 2022Article
- Converging global crises are forcing the rapid adoption of disruptive changes in drug discovery.Drug discovery today · 2021Article
- Carcinogenicity assessment: Addressing the challenges of cancer and chemicals in the environment.Environment international · 2019Review
- Need for alternatives to animals in experimentation: An Indian perspective.The Indian journal of medical research · 2019Article
- Enabling precision medicine by unravelling disease pathophysiology: quantifying signal transduction pathway activity across cell and tissue types.Scientific reports · 2019Article
- Harvesting the promise of AOPs: An assessment and recommendations.The Science of the total environment · 2018Review
- Programming microphysiological systems for children's health protection.Experimental biology and medicine (Maywood, N.J.) · 2017Article
- A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury.Nature communications · 2017Article
- Future of environmental research in the age of epigenomics and exposomics.Reviews on environmental health · 2017Review
- Low-Dose Mixture Hypothesis of Carcinogenesis Workshop: Scientific Underpinnings and Research Recommendations.Environmental health perspectives · 2017Article
- FutureTox III: Bridges for Translation.Toxicological sciences : an official journal of the Society of Toxicology · 2017Article
- QSAR models of human data can enrich or replace LLNA testing for human skin sensitization.Green chemistry : an international journal and green chemistry resource : GC · 2016Article
- The Next Generation of Risk Assessment Multi-Year Study-Highlights of Findings, Applications to Risk Assessment, and Future Directions.Environmental health perspectives · 2016Review
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomedical developments in the 21st century provide an unprecedented opportunity to gain a dynamic systems-level and human-specific understanding of the causes and pathophysiologies of disease. This understanding is a vital need, in view of continuing failures in health research, drug discovery, and clinical translation. The full potential of advanced approaches may not be achieved within a 20th-century conceptual framework dominated by animal models. Novel technologies are being integrated into environmental health research and are also applicable to disease research, but these advances need a new medical research and drug discovery paradigm to gain maximal benefits. We suggest a new conceptual framework that repurposes the 21st-century transition underway in toxicology. Human disease should be conceived as resulting from integrated extrinsic and intrinsic causes, with research focused on modern human-specific models to understand disease pathways at multiple biological levels that are analogous to adverse outcome pathways in toxicology. Systems biology tools should be used to integrate and interpret data about disease causation and pathophysiology. Such an approach promises progress in overcoming the current roadblocks to understanding human disease and successful drug discovery and translation. A discourse should begin now to identify and consider the many challenges and questions that need to be solved.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.