Gut Bacteria Linked to Pulmonary Artery Hypertension
By LabMedica International staff writers Posted on 11 Mar 2020 |

Image: Histopathology showing arteries of a patient with pulmonary arterial hypertension (PAH) with marked thickening of the walls. A unique profile of gut bacteria can predict the presence of pulmonary artery hypertension in patients with 83% accuracy (Photo courtesy of Yale Rosen, MD).
Pulmonary arterial hypertension (PAH) is considered a disease of the pulmonary vasculature. Limited progress has been made in preventing or arresting progression of PAH despite extensive efforts.
Previous studies have indicated that PAH could be considered a systemic disease since its pathology involves interplay of multiple organs. This coupled with increasing implication of the gut and its microbiome in chronic diseases, led scientists to hypothesize that patients with PAH exhibit a distinct gut microbiome that contributes to, and predicts, the disease.
A team of scientists from the University of Florida College of Medicine (Gainesville, FL, USA) and their international colleagues evaluated the fecal microbiome of 18 type 1 PAH patients (mean pulmonary arterial pressure, 57.4 ± 16.7 mm Hg) and 13 reference subjects were compared by shotgun metagenomics. The team isolated and sequenced microbiota DNA from stool samples of the patients with PAH and from a reference group who were without a history of cardiopulmonary disease or PAH risk factors.
The investigators reported that their results revealed taxonomic and functional changes in the gut microbial communities of the PAH cohort compared with the reference cohort. Specifically, they noted increases in pathways for the synthesis of arginine, proline and ornithine in patients with PAH as well as increases in groups of bacterial communities associated with trimethylamine/trimethylamine N-oxide (TMA/TMAO) and purine metabolism, whereas the reference cohort displayed increases in butyrate- and propionate-producing bacteria, including Coprococcus, Butyrivibrio, Lachnospiraceae, Eubacterium, Akkermansia and Bacteroides.
The scientists also sought to identify bacteria most strongly associated with PAH by applying random forest modeling to the two cohorts. The model predicted the presence or absence of PAH based on the composition of the gut microbiome with 83% accuracy, as compared with accuracy of 50% or less if no relationship between the gut microbiome and PAH existed. The virome analysis showed enrichment of Enterococcal and relative depletion of Lactococcal phages in the PAH cohort.
The authors concluded that patients with PAH exhibit a unique microbiome profile that has the high predictive potential for PAH. This highlights previously unknown roles of gut bacteria in this disease and could lead to new therapeutic, diagnostic, or management paradigms for PAH.
Mohan Raizada, PhD, distinguished professor in the department of physiology and functional genomics and senior author of the study, said, “We showed for the first time that specific bacteria in the gut are present in people with PAH. While current PAH treatments focus on the lungs, looking at the lung/gut axis could open the door to new therapies centered in the digestive system.” The study was published on February 24, 2020 in the journal Hypertension.
Related Links:
University of Florida College of Medicine
Previous studies have indicated that PAH could be considered a systemic disease since its pathology involves interplay of multiple organs. This coupled with increasing implication of the gut and its microbiome in chronic diseases, led scientists to hypothesize that patients with PAH exhibit a distinct gut microbiome that contributes to, and predicts, the disease.
A team of scientists from the University of Florida College of Medicine (Gainesville, FL, USA) and their international colleagues evaluated the fecal microbiome of 18 type 1 PAH patients (mean pulmonary arterial pressure, 57.4 ± 16.7 mm Hg) and 13 reference subjects were compared by shotgun metagenomics. The team isolated and sequenced microbiota DNA from stool samples of the patients with PAH and from a reference group who were without a history of cardiopulmonary disease or PAH risk factors.
The investigators reported that their results revealed taxonomic and functional changes in the gut microbial communities of the PAH cohort compared with the reference cohort. Specifically, they noted increases in pathways for the synthesis of arginine, proline and ornithine in patients with PAH as well as increases in groups of bacterial communities associated with trimethylamine/trimethylamine N-oxide (TMA/TMAO) and purine metabolism, whereas the reference cohort displayed increases in butyrate- and propionate-producing bacteria, including Coprococcus, Butyrivibrio, Lachnospiraceae, Eubacterium, Akkermansia and Bacteroides.
The scientists also sought to identify bacteria most strongly associated with PAH by applying random forest modeling to the two cohorts. The model predicted the presence or absence of PAH based on the composition of the gut microbiome with 83% accuracy, as compared with accuracy of 50% or less if no relationship between the gut microbiome and PAH existed. The virome analysis showed enrichment of Enterococcal and relative depletion of Lactococcal phages in the PAH cohort.
The authors concluded that patients with PAH exhibit a unique microbiome profile that has the high predictive potential for PAH. This highlights previously unknown roles of gut bacteria in this disease and could lead to new therapeutic, diagnostic, or management paradigms for PAH.
Mohan Raizada, PhD, distinguished professor in the department of physiology and functional genomics and senior author of the study, said, “We showed for the first time that specific bacteria in the gut are present in people with PAH. While current PAH treatments focus on the lungs, looking at the lung/gut axis could open the door to new therapies centered in the digestive system.” The study was published on February 24, 2020 in the journal Hypertension.
Related Links:
University of Florida College of Medicine
Latest Pathology News
- Spit Test More Accurate at Identifying Future Prostate Cancer Risk
- DNA Nanotechnology Boosts Sensitivity of Test Strips
- Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
- New Error-Corrected Method to Help Detect Cancer from Blood Samples Alone
- "Metal Detector" Algorithm Hunts Down Vulnerable Tumors
- Novel Technique Uses ‘Sugar’ Signatures to Identify and Classify Pancreatic Cancer Cell Subtypes
- Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
- AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
- AI Model Predicts Patient Response to Bladder Cancer Treatment
- New Laser-Based Method to Accelerate Cancer Diagnosis
- New AI Model Predicts Gene Variants’ Effects on Specific Diseases
- Powerful AI Tool Diagnoses Coeliac Disease from Biopsy Images with Over 97% Accuracy
- Pre-Analytical Conditions Influence Cell-Free MicroRNA Stability in Blood Plasma Samples
- 3D Cell Culture System Could Revolutionize Cancer Diagnostics
- Painless Technique Measures Glucose Concentrations in Solution and Tissue Via Sound Waves
- Skin-Based Test to Improve Diagnosis of Rare, Debilitating Neurodegenerative Disease
Channels
Clinical Chemistry
view channel
‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection
Thousands of commercially available glowing molecules known as fluorophores are commonly used in medical imaging, disease detection, biomarker tagging, and chemical analysis. They are also integral in... Read more
Low-Cost Portable Screening Test to Transform Kidney Disease Detection
Millions of individuals suffer from kidney disease, which often remains undiagnosed until it has reached a critical stage. This silent epidemic not only diminishes the quality of life for those affected... Read more
New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma
Cancer diagnoses have traditionally relied on invasive or time-consuming procedures like tissue biopsies. Now, new research published in ACS Central Science introduces a method that utilizes pulsed infrared... Read moreMolecular Diagnostics
view channel
Simple Blood Test Improves Heart Attack and Stroke Risk Prediction
Troponin is a protein found in heart muscle cells that is released into the bloodstream when the heart is damaged. High-sensitivity troponin blood tests are commonly used in hospitals to diagnose heart... Read more
Blood Biomarker Test Could Detect Genetic Predisposition to Alzheimer’s
New medications for Alzheimer’s disease, the most common form of dementia, are now becoming available. These treatments, known as “amyloid antibodies,” work by promoting the removal of small deposits from... Read more
Novel Autoantibody Against DAGLA Discovered in Cerebellitis
Autoimmune cerebellar ataxias are strongly disabling disorders characterized by an impaired ability to coordinate muscle movement. Cerebellar autoantibodies serve as useful biomarkers to support rapid... Read more
Gene-Based Blood Test Accurately Predicts Tumor Recurrence of Advanced Skin Cancer
Melanoma, an aggressive form of skin cancer, becomes extremely difficult to treat once it spreads to other parts of the body. For patients with metastatic melanoma tumors that cannot be surgically removed... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read morePathology
view channel
Spit Test More Accurate at Identifying Future Prostate Cancer Risk
Currently, blood tests that measure the level of a protein called prostate-specific antigen (PSA) are commonly used to identify men at higher risk for prostate cancer. This test is typically used based... Read more
DNA Nanotechnology Boosts Sensitivity of Test Strips
Since the Covid-19 pandemic, most people have become familiar with paper-based rapid test strips, also known as lateral flow immunoassays (LFIAs). These tests are used to quickly detect biomarkers that... Read more
Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
Cell therapy holds great potential in treating diseases such as cancers, inflammatory conditions, and chronic degenerative disorders by manipulating or replacing cells to restore function or combat disease.... Read moreTechnology
view channel
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more