3/1/2026
Imagine having “smart” underwear that works like an Apple Watch: you wear it every day, it sends your digestive signals to an app, and the app uses that information to score your “gut health.” You later find out that employers or insurers can purchase this information and use it to determine your lifestyle risk and medication use. Even though your microbiome data is now just as valuable and revealing as genetic data, it still falls into a gray area of ethics and law with much weaker protections.
As part of the microbiome study named “Human Flatus Atlas”, researchers at the University of Maryland have created the first wearable gadget to measure human flatulence, Smart Underwear. By monitoring 24-hour flatulence patterns via Smart Underwear, researchers can infer participants’ microbiomes and dietary habits. “We’ve learned a tremendous amount about which microbes live in the gut, but less about what they’re actually doing at any given moment,” said researcher Hall.
This project aims to see how dietary, probiotic, or prebiotic interventions affect microbiome activity.
Scientists and ethicists warn that microbiome research, such as Smart Underwear, could violate people’s privacy. Unlike static genetic information, the gut microbiome is a dynamic ecosystem influenced by factors such as age, genetics, environment, lifestyle, and diet. Because the human microbial profile can provide transparent insights into an individual’s habits and lifestyle, it is essential to examine whether current regulations governing microbiome studies adequately protect subjects’ personal information.
One ethical concern for microbiome applications is data ownership. It is already common for microbiome studies to collect subjects’ microbiome samples and personal medical data. Yet, researchers find it difficult to fully explain specific research findings using collected data. This phenomenon raises the question of whether participants should be allowed to provide general consent for unspecified future research.
Research has demonstrated that individuals can be uniquely identified among populations of hundreds based on their microbiomes alone. In the gut microbiome, more than 80% of individuals could still be uniquely identified up to a year later—a result that raises potential privacy concerns for subjects enrolled in human microbiome research projects. As a result, it is not safe to assume that microbiome data can be completely anonymized, as a nontrivial fraction of samples can be accurately traced back to their original sources, along with potentially sensitive metadata.
Studies have shown that a person’s microbiome alone could uniquely identify them in a population of hundreds. Moreover, this information can remain for up to a year, during which microbiome data can identify more than 80% of individuals. This finding raises potential privacy concerns for participants in human microbiome research studies. Because a nontrivial fraction of samples can directly point to their providers and their sensitive health data, it is difficult to fully anonymize microbiome data. As a result, leaking microbiome data is dangerous because it could reveal sensitive information that makes some individuals ineligible for health, disability, or life insurance coverage or employment.
Given the dangers of leaking individuals’ microbiome information, can existing regulations adequately protect individuals’ privacy? The United States has enacted the Genetic Information Nondiscrimination Act (GINA) to protect people from discrimination based on their genetic information. Yet, it is still debated whether GINA governs the use of microbiome data, which is not genetic. Thus, some researchers argue for extending genetic regulations, such as GINA and HIPAA, to human microbial samples.
The current human microbiome research is also biased toward high-income regions, leaving low- and middle-income populations underrepresented. For example, 71% of the microbiome samples studied come from Western nations. Around 40% of microbiome samples come from the US alone, despite the US accounting for only 4% of the world’s population. This unequal distribution in microbiome research data raises the question of scientific colonialism, in which research excludes low-income global populations from study participation and potential therapeutic applications.
This algorithmic bias can also create health disparities, resulting in unequal outcomes across different ethnic, cultural, or socioeconomic groups. This Western population-biased data ignores cultural dietary customs or financial limitations in other areas, causing the algorithm behind microbiome Smart Underwear to produce unrealistic recommendations.
Microbiome research and its therapeutic applications, such as Smart Underwear, have the potential to advance personalized medicine and improve human health. However, it is essential to have adequate regulations to ensure the safety of this new biological application. As our gut bacteria become important like genes, the microbiome scientific enterprise needs to protect this intimate biological information and maintain public trust.