Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Sekisui Diagnostics

Download Mobile App




Host Genetic, Environmental Factors Influence Urinary Tract Microbiome

By LabMedica International staff writers
Posted on 14 Aug 2020
The urinary microbiome is a relatively unexplored niche that varies with gender. More...
Urinary microbes, especially in aging populations, are associated with morbidity. Both genetic and environmental factors influence the makeup of the urinary tract microbiome of older women.

The term “urine microbiome” is being proposed as a term denouncing the old paradigm, that urine in the bladder is usually sterile. The bacterial species include lactobacilli, obligate anaerobes, Gardnerella vaginalis, non-hemolytic streptococci, Mycoplasma and Ureaplasma amongst others.

Medical Scientists from King's College London (London, UK) carried out a large-scale study exploring factors defining urinary microbiome composition in community-dwelling older adult women without clinically active infection. Using 1,600 twins, they estimated the contribution of genetic and environmental factors to microbiome variation.

The investigators performed 16S rRNA sequencing of midstream urine samples from the mostly post-menopausal women from the TwinsUK cohort. When they compared the composition of these samples to the previously published microbiomes of other body sites, they found the diversity of the urine dataset to be similar to that of the vaginal dataset, but that it was not as diverse as the stool dataset. Within the urinary tract microbiome, they identified a set of 61 core microbial taxa. As compared to the gut microbiome dataset, the urinary tract microbiome included more Actinobacteria, Fusobacteria, and Proteobacteria, but fewer Bacteroidetes, Firmicutes, and Verrumicrobia. For a subset of participants, they also generated shotgun metagenomic data in addition to the 16S data. The core microbiome they identified through the 16S data was largely recapitulated in the metagenomic dataset.

By using three different measurements, heritability, family segregation, and ancestry-based analyses, they found a significant effect of host genetics on the composition of the urine microbiome. In particular, for the core microbiome, they found that nearly a quarter of those variants that were found in at least 5% of participants had heritability estimates larger than 10%. One of these, Escherichia-Shigella, has been implicated in urinary tract infections and suggests host genetics may contribute to such infections.

The authors concluded that the urinary microbiome was distinct and apparently unrelated to stool microbiome. It shows a significant contribution of host genetics. Key species known to be clinically relevant were among the most heritable microbes. The study was published on July 21, 2020 in the journal Cell Host & Microbe.

Related Links:

King's College London


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
New
Slide Scanner System
NanoZoomer S540MD
Gold Member
Fully-auto Specific Protein (Nephelometry) Analyzer
PA240
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: Study design and workflow (Parankusham H, Vanderlip C, Birkenbihl C, et al. A two-stage plasma biomarker algorithm reduces amyloid PET use and the p-Tau217 gray zone. Annals of Clinical and Translational Neurology. Published online October 19, 2026. doi:10.1002/acn3.70560)

Two-Step Blood Testing Approach Reduces Uncertainty in Amyloid Assessment

Blood-based biomarkers offer a more accessible, less expensive way to detect Alzheimer’s-related brain changes than traditional methods such as amyloid-beta positron emission tomography (Aβ-PET).... Read more

Molecular Diagnostics

view channel
Image: Tumor DNA is extracted from a pathology sample, and normal DNA is extracted from the buffy coat. Both samples undergo WGS to generate the patient-specific mutational signature. At each follow-up, ctDNA extracted from plasma undergoes WGS and is analyzed using a patient-derived signature and an artificial intelligence (AI) pattern recognition algorithm. FFPE: formalin fixed, paraffin embedded. (Snuderl M, Smadbeck J, Wilkins R, et al. The Journal of Molecular Diagnostics, 2026. DOI: 10.1016/j.jmoldx.2026.07.003)

Liquid Biopsy Detects Lung Cancer Recurrence Signals Months Before Imaging

Non-small cell lung cancer (NSCLC) is the most common type of lung cancer and remains a major cause of cancer-related death. Early-stage tumors are often treated surgically, but recurrence can still occur... Read more

Immunology

view channel
Image Credit: iStock

Antibody Profiling Predicts Inflammatory Bowel Disease Years Before Diagnosis

Inflammatory bowel disease (IBD), which includes Crohn’s disease and ulcerative colitis, involves abnormal immune responses that cause persistent inflammation and damage in the digestive system.... Read more

Pathology

view channel
Image: HETA Quality Control identifies slide quality issues before analysis, while HETA Tumor Detect annotates tumor regions and flags slides likely to contain tumor during scanning. (Photo courtesy of Aignostics)

AI Pathology Platform Targets Workflow Delays and Molecular Test Failures

Pathology laboratories often rely on visual review of tissue slides to assess quality, identify tumors, count mitoses, and estimate tumor content. These tasks can be time-consuming and vary between readers,... Read more

Technology

view channel
Image: Signals LabGistics uses AI to turn natural-language instructions and SOPs into coordinated scientific workflows, helping connect teams, systems, and processes. (Photo courtesy of Revvity)

New AI-Powered System Aims to Streamline Laboratory and Manufacturing Workflows

Scientific laboratories supporting drug development, biotechnology, and materials research increasingly rely on coordinated digital workflows to move data, samples, and activities across teams.... Read more

Industry

view channel
Image: The acquisition of Reveal Genomics would expand Hologic’s oncology diagnostics portfolio to support treatment decisions for more women with breast cancer.

Hologic to Broaden Breast Cancer Testing Portfolio Through Reveal Genomics Acquisition

Hologic (Marlborough, MA, USA) has signed a definitive agreement to acquire Reveal Genomics (Barcelona, Spain), a precision oncology company developing genomic diagnostic tests to help personalize cancer treatment.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.