About the Project

Developing the Healthy Building Microbiome Index

Project Overview

Building design, operation and occupation patterns impact our exposure to microbes. US housing stock, however, was not designed, nor does it operate to control hazardous or beneficial microbial exposures. Understanding and acting upon the nexus between microbial communities, human health, and the built environment is a primary challenge toward improving human well-being.

The Breathe Haven team seeks to develop a quantitative metric that indicates the human respiratory health risks or benefits of a home's microbiome. Development of the Healthy Building Microbiome Index (HBMI) starts with a cohort of homes from locations in Southern, CT USA. Healthy versus unhealthy status will be assigned from direct occupant respiratory health assessments including spirometry, breath metabolomics, and respiratory questionnaires. Occupant health status is paired with intensive building microbiome and building feature characterization using a variety of statistical, machine learning, and deep learning computational methods to produce our index. Such an index can be used to promote rational approaches for building design and operation that improve our well-being.

Database Contents

This database includes information home respiratory health scores, metagenomic data from home settled dust, drinking water and shower water, indoor/outdoor PM/CO₂/RH/TEMP sensor data, and building descriptions for each home.

Respiratory Health Data

  • Spirometry scores
  • Breath metabolomics
  • Respiratory questionnaires

Microbiome Data

  • Home settled dust samples
  • Drinking water samples
  • Shower water samples
  • Metagenomic sequencing results

Environmental Data

  • Indoor/outdoor PM sensors
  • CO₂ monitoring
  • Relative humidity (RH)
  • Temperature (TEMP)

Building Information

  • Building descriptions
  • Design features
  • Operational characteristics
  • Occupation patterns

Study Design

Location

Southern Connecticut, USA

Sample Size

400 homes total

  • Phase 1: 50 homes
  • Phase 2: 350 homes

Sampling Protocol

Each home receives:

  • 2 dust samples
  • 2 water samples

Target: ~1,600 metagenomic samples

Analysis Methods

  • Statistical analysis
  • Machine learning
  • Deep learning
  • Computational modeling

Funding

This research is funded by the Advanced Research Projects Agency for Health (ARPA-H), an agency within the U.S. Department of Health and Human Services that supports transformative biomedical and health research.

Research Team

The Breathe Haven project is led by the Peccia Lab at Yale University.

Principal Investigator

Jordan Peccia, Ph.D.
Professor of Chemical & Environmental Engineering
Yale University

Visit Peccia Lab Website →

Additional team member information will be added here.

Research Impact

The Healthy Building Microbiome Index (HBMI) will provide a quantitative tool to assess the respiratory health impacts of home microbiomes. This index can inform:

  • Rational building design strategies
  • Building operation and maintenance protocols
  • Public health guidelines for indoor environments
  • Interventions to improve occupant well-being

Contact

For more information about the Breathe Haven project:

Peccia Lab
Yale University
Principal Investigator: Jordan Peccia
Email: jordan.peccia@yale.edu
Lab: peccialab.yale.edu