We have previously reported that obesity attenuates pulmonary inflammation in both patients with acute respiratory distress syndrome (ARDS) and in mouse models of the disease. We hypothesized that obesity-associated hyperleptinemia, and not body mass per se, drives attenuation of the pulmonary inflammatory response and that this effect could also impair the host response to pneumonia. We examined the correlation between circulating leptin levels and risk, severity, and outcome of pneumonia in 2 patient cohorts (NHANES III and ARDSNet-ALVEOLI) and in mouse models of diet-induced obesity and lean hyperleptinemia. Plasma leptin levels in ambulatory subjects (NHANES) correlated positively with annual risk of respiratory infection independent of BMI. In patients with severe pneumonia resulting in ARDS (ARDSNet-ALVEOLI), plasma leptin levels were found to correlate positively with subsequent mortality. In obese mice with pneumonia, plasma leptin levels were associated with pneumonia severity, and in obese mice with sterile lung injury, leptin levels were inversely related to bronchoalveolar lavage neutrophilia, as well as to plasma IL-6 and G-CSF levels. These results were recapitulated in lean mice with experimentally induced hyperleptinemia. Our findings suggest that the association between obesity and elevated risk of pulmonary infection may be driven by hyperleptinemia.
Niki D.J. Ubags, Renee D. Stapleton, Juanita H.J. Vernooy, Elianne Burg, Jenna Bement, Catherine M. Hayes, Sebastian Ventrone, Lennart Zabeau, Jan Tavernier, Matthew E. Poynter, Polly E. Parsons, Anne E. Dixon, Matthew J. Wargo, Benjamin Littenberg, Emiel F.M. Wouters, Benjamin T. Suratt
Usage data is cumulative from December 2022 through December 2023.
Usage | JCI | PMC |
---|---|---|
Text version | 286 | 82 |
34 | 26 | |
Figure | 67 | 0 |
Table | 10 | 0 |
Supplemental data | 10 | 1 |
Citation downloads | 17 | 0 |
Totals | 424 | 109 |
Total Views | 533 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.