Affordable detection of drug-resistant Pseudomonas in eyedrops and local samples

Surveillance of drug-resistant bacteria in resource-limited settings: a focus on cost-effective long-read sequencing of eyedrop-associated P. aeruginosa and locally sourced metagenomic samples

NIH-funded research California State University Fresno · NIH-11181158

This project tests low-cost DNA sequencing to find drug-resistant Pseudomonas in contaminated eyedrops and nearby environmental samples for communities with limited lab resources.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionCalifornia State University Fresno NIH-funded
Lab location1 site (Fresno, United States)
Project IDNIH-11181158 on NIH RePORTER

What this research studies

If I'm worried about contaminated preservative-free eyedrops or local infections, this project will set up affordable long-read DNA sequencing at community sites to look for drug-resistant Pseudomonas and related bacteriophages. The team will use compact Flongle sequencers that can run small assays for under $100 per run to assemble bacterial and phage genomes from eyedrop-associated and locally sourced metagenomic samples. The approach is a pilot of a decentralized surveillance system aimed at resource-limited settings so tests can be done quickly and cheaply near where people live. Results would help local health workers spot outbreaks sooner and guide safer product handling and infection control.

Who could benefit from this research

Good fit: Ideal participants are people, clinics, or community sites that have used preservative-free eyedrops or are in areas where contaminated products or local bacterial infections are suspected.

Not a fit: People without exposure to eyedrops or those needing immediate individual medical treatment are unlikely to get direct clinical benefit from this surveillance project.

Why it matters

Potential benefit: If successful, this could enable faster, cheaper detection of antibiotic-resistant bacteria in eyedrops and local environments, improving outbreak response and product safety in underserved areas.

How similar studies have performed: Long-read nanopore sequencing has been used to track outbreaks and assemble bacterial genomes before, but using very low-cost Flongle runs for decentralized surveillance of eyedrop contamination is a relatively new application.

Where this research is happening

Fresno, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Bacterial Infections
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.