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Decoding personal biotic and abiotic airborne exposome.

Chao Jiang1, Xinyue Zhang2, Peng Gao2

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This study introduces a new protocol to collect and analyze personal environmental exposures, including biological and chemical factors. This method enhances our understanding of environmental influences on human health by enabling individual-level exposome monitoring.

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Area of Science:

  • Environmental Health Sciences
  • Molecular Biology
  • Analytical Chemistry

Background:

  • Human disease complexity arises from interactions between internal molecular processes and external environmental exposures.
  • Current understanding of personal environmental exposures (exposome) is limited due to challenges in sample collection and analysis.
  • Omics technologies have advanced internal molecular understanding, but external exposure assessment remains a gap.

Purpose of the Study:

  • To develop and present a protocol for collecting and decoding the personal environmental exposome (PEE) at the individual level.
  • To integrate hardware and experimental pipelines for comprehensive PEE analysis.
  • To overcome limitations in current methods for assessing personal environmental exposures.

Main Methods:

  • A novel protocol integrating hardware and experimental pipelines for PEE collection and analysis.
  • Inclusion of decontamination steps to enhance detection sensitivity.
  • Simultaneous capture and high-throughput profiling of both biotic (biological) and abiotic (chemical) exposures.
  • Application to airborne particulate samples.

Main Results:

  • The protocol enables personal-level exposome monitoring.
  • It allows for simultaneous capture and high-throughput profiling of diverse environmental exposures.
  • Hundreds to thousands of microbial species and organic compounds can be detected in airborne samples.
  • The protocol requires ~18 hours of bench time over 2-3 days for sample preparation.

Conclusions:

  • This protocol provides a robust method for decoding the personal environmental exposome, encompassing both biotic and abiotic components.
  • It offers significant advantages over conventional approaches, improving sensitivity and enabling simultaneous analysis.
  • The protocol can be adapted for analyzing other low or ultra-low input sample types, broadening its applicability in environmental health research.