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The stress response system, also known as the fight-or-flight response, is the body's automatic physiological reaction to perceived threats. Hans Selye introduced the concept of General Adaptation Syndrome (GAS) to describe the predictable pattern of changes that occur in response to stress. GAS consists of three sequential stages: alarm, resistance, and exhaustion. This model helps explain how chronic stress can contribute to health problems.
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Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
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Updated: Oct 10, 2025

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
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Human exposome assessment platform.

Roxana Merino Martinez1, Heimo Müller2, Stefan Negru3

  • 1Karolinska Institutet, Stockholm, Sweden.

Environmental Epidemiology (Philadelphia, Pa.)
|December 15, 2021
PubMed
Summary
This summary is machine-generated.

The Human Exposome Assessment Platform (HEAP) offers a powerful system for analyzing human exposome data. It integrates data and AI to generate actionable public health insights from population studies.

Keywords:
AIBioinformaticsCohortData managementExposomeFAIRIaaSMachine learningPaaS

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Area of Science:

  • Environmental Health Sciences
  • Computational Biology
  • Public Health Informatics

Background:

  • The human exposome, encompassing all environmental exposures from conception onwards, significantly impacts health.
  • Integrating and analyzing complex exposome data presents a major challenge for researchers.
  • Existing data management and analysis tools lack the efficiency and integration needed for large-scale exposome research.

Purpose of the Study:

  • To introduce the Human Exposome Assessment Platform (HEAP) as a comprehensive research resource.
  • To establish a complete workflow for deriving actionable exposome knowledge from population-based cohorts.
  • To provide a decision support system for researchers and policymakers regarding environmental exposures and public health.

Main Methods:

  • Development of a state-of-the-science computational service integrating partner resources.
  • Implementation of a software framework featuring a high-performance Hadoop platform for data warehousing.
  • Integration of applied artificial intelligence (AI) for advanced data analysis and knowledge discovery.

Main Results:

  • HEAP provides an efficient and integrated platform for managing and analyzing human exposome data.
  • The platform offers the world's fastest Hadoop capabilities for data warehousing and AI applications.
  • A decision support system is available for researchers and policymakers, enhancing understanding of exposure impacts.

Conclusions:

  • The Human Exposome Assessment Platform (HEAP) facilitates the generation of actionable exposome knowledge.
  • HEAP's design promotes data and analysis pipeline sharing and reusability for future research.
  • The platform's deployable instances can form a network for disseminating knowledge on environmental exposures and public health.