by Katherine Egan Bennett, University of Texas at Arlington

Cell types of origin across the urine sediment and cell-free transcriptomes. Credit: Clinical Chemistry (2024). DOI: 10.1093/clinchem/hvae137

Early detection is critical when it comes to curing diseases like cancer, but not everyone has easy access to screening tools. For problems in the genitourinary (GU) tract (which includes the kidneys, prostate, and bladder), health providers usually use a combination of screening tools, including blood tests, imaging, and physical examinations. Scientists are now working on an even simpler tool for screening illnesses before they become a problem—urine analysis.

According to a study from scientists at The University of Texas at Arlington, Chan-Zuckerberg Biohub, and Stanford University, studying the RNA (a type of genetic material) and other substances within urine can show changes in cell types, revealing early signs of cancer and other diseases. This method could help clinicians detect problems earlier when they are more easily treated without invasive procedures. The research is published in the journal Clinical Chemistry.

"The current gold standard for detecting many GU ailments is a biopsy where small tissue is removed during a rectal exam and sent to the lab for analysis. The invasive nature of the test can scare some people from getting the care they need," said Joseph Buonomo, assistant professor of chemistry at UTA and an author of the study.

"Our preliminary research shows that studying the RNA found in urine can detect some ailments in their earliest stages where they are easily—and cost effectively—managed."

In the study, the team collected urine samples from two groups of people—healthy individuals and people with kidney stones. Researchers took two types of RNA from the urine—cell-free RNA that floats freely in urine, and sediment RNA, which comes from solid particles. The types of RNA were then sequenced and analyzed, comparing the specimens from the healthy individuals to the ones with kidney stones. They found that advanced urine analyses identified patterns in cells indicative of whether a person has disease.

"We're excited about this new research as it may lead to new, easier screening tools that can help detect diseases of the bladder, kidneys, and prostate," said Buonomo. "Although our patient cohort was small, it lays the groundwork for development of a type of 'non-invasive liquid biopsy' that will be used to track the progression of ailments like kidney stones, diabetes, and cancer using urine instead of surgical specimens."

The next phase of the research, Buonomo said, is working on advanced machine learning techniques to further fine-tune the types of differences that can be detected when comparing the RNA and protein signatures of healthy individuals to individuals with diagnosed diseases. They hope identifying additional biomarkers will pave the way for simpler, less invasive diagnostic procedures in the future. That work is available on the pre-print server arXiv.

More information: Sevahn K Vorperian et al, Deconvolution of Human Urine across the Transcriptome and Metabolome, Clinical Chemistry (2024). DOI: 10.1093/clinchem/hvae137

Thuong Le Hoai Pham et al, Peptide Sequencing Via Protein Language Models, arXiv (2024). DOI: 10.48550/arxiv.2408.00892

Journal information: Clinical Chemistry  , arXiv 

Provided by University of Texas at Arlington