Role of Microbial Agents in Pulmonary Fibrosis
.

Yale J Biol Med

Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN.

Published: June 2017

Pulmonary fibrosis is a form of lung disease that develops due to aberrant wound-healing following repeated alveoli injury in genetically susceptible individuals, resulting in chronic inflammation, excess deposition of the extracellular matrix components, mainly collagen, and scarring of lung tissue. In addition to irradiation, environmental agents such occupational inhalants, and chemotherapeutic agents, microbial agents also play a role in the etiology of the disease. While viruses have received the most attention, emerging evidence suggest that bacteria and fungi also play a part in the etiology of pulmonary fibrosis. Furthermore, successful use of antibiotics, antiviral and antifungal drugs in several studies to attenuate fibrosis progression is also an indication of microbial involvement in the pathogenesis of the disease and could be a promising therapeutic modality for treating pulmonary fibrosis initiated or exacerbated by infectious agents.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482299PMC

Publication Analysis

Top Keywords

pulmonary fibrosis
12
microbial agents
8
agents
5
role microbial
4
pulmonary
4
agents pulmonary
4
pulmonary fibrosis

4
fibrosis
 pulmonary
4
fibrosis
4
fibrosis form
4

Similar Publications

Pulmonary fibrosis (PF) is a chronic interstitial lung disease with a progressive damage to the air sacs and deposition of collagen fibers in the lung tissue. The study aimed to explore the effects of oil (NSO) or thymoquinone (TQ), alone or in combination with dexamethasone (DEX), on the development of bleomycin (BLM)-induced PF. Forty-two male rats were divided into seven groups: Control (CTRL); BLM, received a single dose of BLM on day 0, intratracheally; all remaining groups received BLM, as well.

View Article and Find Full Text PDF

Introduction: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.

View Article and Find Full Text PDF

Introduction: Cystic fibrosis (CF) is an autosomal recessive genetic disorder caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene, primarily affecting the respiratory and digestive systems. Respiratory rehabilitation techniques play a crucial role in managing pulmonary symptoms and maintaining lung function in CF patients. Although various techniques have been developed and applied, there is currently no globally recognised optimal respiratory rehabilitation regimen.

View Article and Find Full Text PDF

Background: Systemic sclerosis (SSc) is a rare connective tissue disease, frequently affecting the skin, lungs, and pulmonary vasculature. Approximately 30-50% of SSc patients develop interstitial lung disease (SSc-ILD), with 30-35% of related deaths attributed to it. Even though men are less likely to develop systemic sclerosis, they have a higher incidence of SSc-ILD than women, and they tend to develop it at a younger age with a higher mortality rate.

View Article and Find Full Text PDF

To investigate the therapeutic effect of Fuzheng Tongluo Granules on idiopathic pulmonary fibrosis(IPF) and its mechanism. Seventy-two SD rats were randomly divided into the control group, model group, pirfenidone group(162 mg·kg~(-1)), and low-, medium-and high-dose of Fuzheng Tongluo Granules groups(2.63, 5.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!