Building HairX: A Comprehensive Human Hair Database to Revolutionize Exposome Research

Title

Building HairX: A Comprehensive Human Hair Database to Revolutionize Exposome Research

Author

1. O Namuun, Student, Inner Mongolia University, Mongolia
2. Dulguun Gankhuyag, Professor, Inner Mongolia University, Mongolia

Abstract

By detecting accumulated chemicals, contaminants, and lifestyle variables, human hair provides a one-of-a-kind biological sample for studying the exposome, the sum of all environmental exposures throughout a lifetime. Because it may represent a wide range of environmental, occupational, and lifestyle exposures, hair provides a practical, non-invasive matrix for assessing exposure over time. This study presents HairX, a state-of-the-art database developed to support exposome studies conducted on human hair. In addition to demographic and lifestyle variables, HairX incorporates multi-omics data, which includes chemical profiling, genetic information, and metabolomics. This study focuses on the database's development, its use in expanding exposome research, and its future ability to fill knowledge gaps on environmental exposures and their effects on human health.

Keywords

Conclusion

The development of HairX is a significant step forward in exposome research. It provides a tool that has never been seen before to research the cumulative environmental exposures that affect human health. HairX offers a holistic exposome perspective by merging chemical profiling, genetic data, and metabolomics. This enables researchers to get a deeper understanding of the intricate interactions that occur between the environment and human biology. With further development, HairX has the potential to revolutionize research in the field of public health, as well as personalized exposure assessment and preventative health interventions.

Author Contrubution

The author handled all aspects of the study, including its design, data collection, analysis, and manuscript preparation.

Funding

This work did not receive any specific grant from funding agencies in the public, commercial, or non-profit sectors for its research, authorship, or publication.

Conflict of Interest

There are no conflicts of interest to report from any of the authors.

Data Sharing Statement

Data sharing is not relevant to this study.

Software And Tools Use

There is no software or tools usage information relevant to this research.

Acknowledgements

I acknowledge the support and expertise of those who helped with this research and manuscript, and thank the peer reviewers for their valuable insights.