We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
BIO-RAD LABORATORIES

Download Mobile App




Host Genetic, Environmental Factors Influence Urinary Tract Microbiome

By LabMedica International staff writers
Posted on 14 Aug 2020
Print article
Graphic representation of how the urinary tract microbiome in older women exhibits host genetic and environmental influences (Photo courtesy of King\'s College London).
Graphic representation of how the urinary tract microbiome in older women exhibits host genetic and environmental influences (Photo courtesy of King\'s College London).
The urinary microbiome is a relatively unexplored niche that varies with gender. 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
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
POCT Fluorescent Immunoassay Analyzer
FIA Go
New
Gold Member
Plasma Control
Plasma Control Level 1

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Molecular Diagnostics

view channel
Image: A blood test could predict lung cancer risk more accurately and reduce the number of required scans (Photo courtesy of 123RF)

Blood Test Accurately Predicts Lung Cancer Risk and Reduces Need for Scans

Lung cancer is extremely hard to detect early due to the limitations of current screening technologies, which are costly, sometimes inaccurate, and less commonly endorsed by healthcare professionals compared... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: Exosomes can be a promising biomarker for cellular rejection after organ transplant (Photo courtesy of Nicolas Primola/Shutterstock)

Diagnostic Blood Test for Cellular Rejection after Organ Transplant Could Replace Surgical Biopsies

Transplanted organs constantly face the risk of being rejected by the recipient's immune system which differentiates self from non-self using T cells and B cells. T cells are commonly associated with acute... Read more

Pathology

view channel
Image: The QIAseq xHYB Mycobacterium tuberculosis Panel uses next-generation sequencing (Photo courtesy of 123RF)

New Mycobacterium Tuberculosis Panel to Support Real-Time Surveillance and Combat Antimicrobial Resistance

Tuberculosis (TB), the leading cause of death from an infectious disease globally, is a contagious bacterial infection that primarily spreads through the coughing of patients with active pulmonary TB.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.