Evidence Hub

A preclinical systematic review and meta-analysis assessing the effect of biological sex in lipopolysaccharide-induced acute lung injury

Eva Kuhar, Nikesh Chander, Duncan J. Stewart, Forough Jahandideh, Haibo Zhang, Arnold S Kristof, J. Bastarache, Eric P. Schmidt et al.

American Journal of Physiology - Lung cellular and Molecular Physiology, 2024

17 citations

Abstract

It is unclear what effect biological sex has on the outcomes of acute lung injury (ALI). Clinical studies are confounded by their observational design. We addressed this knowledge gap with a preclinical systematic review of ALI animal studies. We searched MEDLINE and Embase for studies of intratracheal/intranasal/aerosolized lipopolysaccharide (LPS) administration, the most common ALI model, and reported sex-stratified data. Screening and data extraction were conducted in duplicate. Our primary outcome was histological tissue injury and secondary outcomes included alveolar-capillary barrier alterations and inflammatory markers. We used a random effects inverse variance meta-analysis, expressing data as standardized mean difference (SMD) with 95% confidence intervals (CI). Risk of bias was assessed using the SYRCLE tool. We identified six studies involving 132 animals across 11 independent experiments. A total of 41 outcomes were extracted, with the direction of effect suggesting greater severity in males than females in 26/41 outcomes (63%). One study reported on lung histology and found that male mice exhibited greater injury than females (SMD 1.61, 95% CI 0.53 to 2.69). Meta-analysis demonstrated significantly elevated albumin levels (SMD 2.17, 95% CI 0.63 to 3.70) and total cell counts (SMD 0.80, 95% CI 0.27 to 1.33) in bronchoalveolar lavage fluid from male mice compared to females. Most studies had an 'unclear risk of bias'. Our findings suggest sex-related differences…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free