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NETosis in the pathogenesis of acute lung injury following cutaneous chemical burns
Ranu Surolia, Fu Jun Li, Zheng Wang, Mahendra Kashyap, Ritesh Kumar Srivastava, Amie M. Traylor, Pooja Singh, Kevin G. Dsouza, Harrison Kim, Jean-Francois Pittet, Jaroslaw W. Zmijewski, Anupam Agarwal, Mohammad Athar, Aftab Ahmad, Veena B. Antony
Ranu Surolia, Fu Jun Li, Zheng Wang, Mahendra Kashyap, Ritesh Kumar Srivastava, Amie M. Traylor, Pooja Singh, Kevin G. Dsouza, Harrison Kim, Jean-Francois Pittet, Jaroslaw W. Zmijewski, Anupam Agarwal, Mohammad Athar, Aftab Ahmad, Veena B. Antony
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Research Article Pulmonology

NETosis in the pathogenesis of acute lung injury following cutaneous chemical burns

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Abstract

Despite the high morbidity and mortality among patients with extensive cutaneous burns in the intensive care unit due to the development of acute respiratory distress syndrome, effective therapeutics remain to be determined. This is primarily because the mechanisms leading to acute lung injury (ALI) in these patients remain unknown. We test the hypothesis that cutaneous chemical burns promote lung injury due to systemic activation of neutrophils, in particular, toxicity mediated by the deployment of neutrophil extracellular traps (NETs). We also demonstrate the potential benefit of a peptidyl arginine deiminase 4 (PAD4) inhibitor to prevent NETosis and to preserve microvascular endothelial barrier function, thus reducing the severity of ALI in mice. Our data demonstrated that phenylarsine oxide (PAO) treatment of neutrophils caused increased intracellular Ca2+-associated PAD4 activity. A dermal chemical burn by lewisite or PAO resulted in PAD4 activation, NETosis, and ALI. NETs disrupted the barrier function of endothelial cells in human lung microvascular endothelial cell spheroids. Citrullinated histone 3 alone caused ALI in mice. Pharmacologic or genetic abrogation of PAD4 inhibited lung injury following cutaneous chemical burns. Cutaneous burns by lewisite and PAO caused ALI by PAD4-mediated NETosis. PAD4 inhibitors may have potential as countermeasures to suppress detrimental lung injury after chemical burns.

Authors

Ranu Surolia, Fu Jun Li, Zheng Wang, Mahendra Kashyap, Ritesh Kumar Srivastava, Amie M. Traylor, Pooja Singh, Kevin G. Dsouza, Harrison Kim, Jean-Francois Pittet, Jaroslaw W. Zmijewski, Anupam Agarwal, Mohammad Athar, Aftab Ahmad, Veena B. Antony

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Figure 5

PAO induces calcium- and ER stress–dependent NETosis.

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PAO induces calcium- and ER stress–dependent NETosis.
(A) NETs’ formatio...
(A) NETs’ formation is measured by dsDNA in the control, DPI-, PAO-, and DPI+PAO-cotreated neutrophil supernatants. Each dot represents neutrophils from an individual subject. Here, “ns” means not significant, as compared with PAO- vs. DPI+PAO-cotreated human neutrophils. Intracellular calcium flux measurements in the neutrophils isolated from human subjects loaded with calcium-sensitive dye Fluo-4 and stimulated with PAO for indicated time points in the absence or presence of (B) calcium chelator, BAPTA, and (C) PAD4 inhibitor, GSK484. All the intracellular calcium levels were measured in 3–5 individual subjects. Data are shown as the mean ± SEM. (D) Transmission electron microscopy images (n = 3). A total of 8 images were taken from each group. The endoplasmic reticulum is delineated with red lines in the lower panel. Scale bar: 2 nm. (E) Immunoblots of PAO-exposed neutrophils (3 hours) for ER stress marker proteins ATF4 and eIF2-α and (F and G) densitometry measurements. Individual lanes in immunoblots and symbol in graphs represent neutrophils from individual subjects. β-Actin was used as loading control. Measurements of intracellular calcium flux in Fluo-4–loaded human neutrophils stimulated with PAO in the absence or presence of (H) ISRIB, (I) 4-phenylbutyric acid (4-PBA), and (J) 2-APB for indicated time points. All the intracellular calcium levels were measured in 3–5 individual subjects. (K) Immunoblot for Cit-H3 levels in the NETs. Each lane represents lysate from an individual human subject. (L) Densitometry for Cit-H3 from the immunoblot. All data are shown as the mean ± SEM. *P < 0.05, **P < 0.01. Statistics: 1-way ANOVA followed by Tukey’s multiple comparisons test (A and L), 2-way ANOVA for repeated measures over period of time (B, C, and H–J), and Wilcoxon’s test (F and G).

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