Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2016 Apr;140(4):345-50.
doi: 10.5858/arpa.2015-0519-RA.

Acute Lung Injury: A Clinical and Molecular Review

Affiliations
Free article
Review

Acute Lung Injury: A Clinical and Molecular Review

Yasmeen Butt et al. Arch Pathol Lab Med. 2016 Apr.
Free article

Abstract

Context: Acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are a continuum of lung changes arising from a wide variety of lung injuries, frequently resulting in significant morbidity and frequently in death. Research regarding the molecular pathophysiology of ALI/ARDS is ongoing, with the aim toward developing prognostic molecular biomarkers and molecular-based therapy.

Objective: To review the clinical, radiologic, and pathologic features of ALI/ARDS; and the molecular pathophysiology of ALI/ARDS, with consideration of possible predictive/prognostic molecular biomarkers and possible molecular-based therapies.

Data sources: Examination of the English-language medical literature regarding ALI and ARDS.

Conclusions: ARDS is primarily a clinicoradiologic diagnosis; however, lung biopsy plays an important diagnostic role in certain cases. A significant amount of progress has been made in the elucidation of ARDS pathophysiology and in predicting patient response, however, currently there is no viable predictive molecular biomarkers for predicting the severity of ARDS, or molecular-based ARDS therapies. The proinflammatory cytokines TNF-α (tumor necrosis factor α), interleukin (IL)-1β, IL-6, IL-8, and IL-18 are among the most promising as biomarkers for predicting morbidity and mortality.

PubMed Disclaimer

Similar articles

Cited by

MeSH terms

LinkOut - more resources