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Toxicity tests in animals are grounded on two main assumptions: first, the effects observed in laboratory animals can be extrapolated to humans, especially when adjusted for body surface area; second, high-dose exposure in animals is essential to identify potential human hazards from lower doses. This is based on the quantal dose-response concept, which faces the challenge of extrapolating results from relatively few test animals to much larger human populations. For example, a 0.01% incidence...
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Studies that assess how a drug is absorbed, distributed, metabolized, and excreted (ADME) at toxic doses are termed toxicokinetics. Understanding toxicokinetics helps predict adverse drug reactions (ADRs) and manage toxicity in humans.Toxicokinetics differs from pharmacokinetics mainly in the dose levels studied, with toxicokinetics focusing on higher toxic doses. The kinetics at these levels can be non-linear due to altered physiological processes. Toxicodynamics examines the relationship...
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Drug toxicity quantifies the harm a compound causes to an organism, varying by dose and potentially impacting whole systems or specific organs like the liver. Toxic reactions may arise from venomous insect or spider bites, with effects ranging from mild symptoms to severe outcomes such as brain damage or death. Common forms of acute poisoning include ethanol intoxication and overdose of pain or fever medications, with substances like GHB and heroin being particularly lethal at doses close to...
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Lessons from Toxicology: Developing a 21st-Century Paradigm for Medical Research.

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A new framework is proposed for understanding human disease, moving beyond animal models to focus on human-specific research and systems biology for better drug discovery and health outcomes.

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Area of Science:

  • Biomedical research
  • Toxicology
  • Systems biology

Background:

  • Current biomedical research faces challenges in understanding disease causation and drug discovery, partly due to reliance on 20th-century frameworks and animal models.
  • Failures in health research and clinical translation highlight the need for a paradigm shift in understanding human disease.
  • Advanced technologies offer new possibilities but require a modernized conceptual approach for maximal benefit.

Purpose of the Study:

  • To propose a new conceptual framework for biomedical research and drug discovery.
  • To advocate for a shift towards human-specific models and systems biology in disease research.
  • To address the limitations of traditional approaches in understanding complex human diseases.

Main Methods:

  • Repurposing the 21st-century transition in toxicology towards human-specific research.
  • Conceiving human disease as resulting from integrated extrinsic and intrinsic causes.
  • Utilizing modern human-specific models to study disease pathways at multiple biological levels.
  • Applying systems biology tools to integrate and interpret data on disease causation and pathophysiology.

Main Results:

  • The proposed framework facilitates a dynamic, systems-level, and human-specific understanding of disease.
  • It offers a pathway to overcome current roadblocks in disease research, drug discovery, and clinical translation.
  • Analogous to adverse outcome pathways in toxicology, this approach enhances disease pathway elucidation.

Conclusions:

  • A new paradigm integrating human-specific models and systems biology is crucial for advancing biomedical research.
  • This approach promises significant progress in understanding human disease and improving drug discovery and translation.
  • Initiating a discourse on the challenges and questions associated with this new framework is essential.