INANTRO
Lab for Chemical
& Biomedical Informatics

— Croatia · HRZZ · 2026–2029

Holobiomics Lab.

Integrated assessment of indoor air, environmental microbiome, behavior, and human health. An installation research project, started in October 2026, that establishes the lab's own holobiont-focused research group.

PI · Dr. Mario Lovrić 15 Oct 2026 – 14 Oct 2029
Croatian Science Foundation (HRZZ) Funded by the
Croatian Science Foundation

Abstract

Adults spend most of their time indoors, yet indoor air quality, the indoor microbiome, and human physiology are usually studied in isolation. Holobiomics Lab brings them together through the concept of the human holobiont: a person and their microbes as one interacting system. The project combines continuous bedroom air monitoring, profiling of house dust, nasal, and gut microbiomes, wearable measures of autonomic function and sleep, daily dietary records, and outdoor exposure in a longitudinal intervention study. It tests whether poor ventilation affects autonomic regulation, whether indoor and human microbiomes share core taxa, and whether simple behavioral changes, such as structured ventilation and more time outdoors, shift both. Interpretable machine learning and compositional statistics will integrate these data streams to identify modifiable pathways between the built environment and health. Protocols, data, and code will be shared openly following FAIR principles. The project also establishes a dedicated holobiomics research group at the Institute for Anthropological Research.

Study overview: indoor air sensors, house dust, wearables, nasal and gut samples feeding sequencing, data processing and machine learning
Fig. 1 — Study overview: indoor air, house dust, wearables, and nasal and gut samples feed into sequencing, data processing, and machine learning.

Hypotheses

H1

Air and the autonomic system

Elevated CO₂ and reduced ventilation impair autonomic regulation, measured through beat-to-beat heart intervals.

H2

Shared microbes

Indoor dust and host-associated microbiomes share core taxa, consistent with microbial exchange or shared ecological selection.

H3

Behavior changes both

Ventilation and outdoor-time interventions shift both environmental and host-associated microbiome profiles.

Team

ML

Dr. Mario Lovrić

Principal Investigator

Scientific coordination and study design; computational lead for interpretable machine learning, multi-stream data integration, and sensors.

ORCID ↗
IŠ

Dr. Iva Šunić

Postdoctoral Researcher

Microbiome lead: sampling, DNA extraction, 16S sequencing design, contamination control, and bioinformatic processing.

ORCID ↗
AB

Anja Bošnjaković

Doctoral Candidate

Field sampling, laboratory processing (DNA extraction, library preparation), metadata harmonization, and data quality control.

ORCID ↗
NK

Nina Karlović

Doctoral Candidate

Indoor air sensor deployment and calibration; wearable data preprocessing and heart rate variability features.

ORCID ↗

Scientific advisors

Prof. Morten Rasmussen University of Copenhagen — microbiome and longitudinal cohort design
Dejan Strbad, Dipl. Phys. Ascalia — sensors, software, and machine learning

Planned outputs

Publications

At least five gold open-access papers, starting with a study protocol paper published before data collection.

Recommendations

Evidence briefs on bedroom ventilation and indoor health for public health and building stakeholders.

Training

Doctoral theses in microbiome bioinformatics, wearable data science, and multi-modal data integration.

Pre-registered

Hypotheses and the full analysis plan are registered before data collection, followed by a published study protocol.

FAIR data

Sequencing data in ENA; indoor air and wearable time series in Zenodo; analysis code on GitHub with a DOI.

Reusable methods

A standard operating procedure package for integrated indoor health studies and a validated analysis pipeline.

Want to cooperate?

We work with research groups, clinics and companies on exposome, multi-omics and machine-learning projects, and welcome students looking for a thesis topic.