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microRNA-33 deficiency in macrophages enhances autophagy, improves mitochondrial homeostasis, and protects against lung fibrosis
Farida Ahangari, … , Carlos Fernández-Hernando, Naftali Kaminski
Farida Ahangari, … , Carlos Fernández-Hernando, Naftali Kaminski
Published January 10, 2023
Citation Information: JCI Insight. 2023;8(4):e158100. https://doi.org/10.1172/jci.insight.158100.
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Research Article Metabolism Pulmonology

microRNA-33 deficiency in macrophages enhances autophagy, improves mitochondrial homeostasis, and protects against lung fibrosis

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Abstract

Idiopathic pulmonary fibrosis (IPF) is a progressive and ultimately fatal disease. Recent findings have shown a marked metabolic reprogramming associated with changes in mitochondrial homeostasis and autophagy during pulmonary fibrosis. The microRNA-33 (miR-33) family of microRNAs (miRNAs) encoded within the introns of sterol regulatory element binding protein (SREBP) genes are master regulators of sterol and fatty acid (FA) metabolism. miR-33 controls macrophage immunometabolic response and enhances mitochondrial biogenesis, FA oxidation, and cholesterol efflux. Here, we show that miR-33 levels are increased in bronchoalveolar lavage (BAL) cells isolated from patients with IPF compared with healthy controls. We demonstrate that specific genetic ablation of miR-33 in macrophages protects against bleomycin-induced pulmonary fibrosis. The absence of miR-33 in macrophages improves mitochondrial homeostasis and increases autophagy while decreasing inflammatory response after bleomycin injury. Notably, pharmacological inhibition of miR-33 in macrophages via administration of anti–miR-33 peptide nucleic acids (PNA-33) attenuates fibrosis in different in vivo and ex vivo mice and human models of pulmonary fibrosis. These studies elucidate a major role of miR-33 in macrophages in the regulation of pulmonary fibrosis and uncover a potentially novel therapeutic approach to treat this disease.

Authors

Farida Ahangari, Nathan L. Price, Shipra Malik, Maurizio Chioccioli, Thomas Bärnthaler, Taylor S. Adams, Jooyoung Kim, Sai Pallavi Pradeep, Shuizi Ding, Carlos Cosmos Jr., Kadi-Ann S. Rose, John E. McDonough, Nachelle R. Aurelien, Gabriel Ibarra, Norihito Omote, Jonas C. Schupp, Giuseppe DeIuliis, Julian A. Villalba Nunez, Lokesh Sharma, Changwan Ryu, Charles S. Dela Cruz, Xinran Liu, Antje Prasse, Ivan Rosas, Raman Bahal, Carlos Fernández-Hernando, Naftali Kaminski

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Figure 7

The absence of miR-33 in lung macrophages improves mitochondrial homeostasis and decreases cell death in AT2 after bleomycin injury.

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The absence of miR-33 in lung macrophages improves mitochondrial homeost...
(A) Representative images of transmission electron microscopy (TEM) on lung tissues isolated from miR33M/M–/– and miR33M/M+/+ after bleomycin and saline treatment. Red arrows indicate mitochondria in AT2 (n = 8 per group). Total original magnification, 4× and 10×. (B) Blinded measurements of mitochondria in mice AT2 after bleomycin in TEM images by counting the dysmorphic versus normal-looking mitochondria in miR33M/M–/– and control groups (n = 8). (C) Ultrastructural qualitative and quantitative analysis of mitochondria in mice lung AT2s in TEM images represented as mitochondrial area (au). (D and E) Representative images and quantification analysis of TUNEL IF staining on lung sections from miR33M/M–/– and miR33M/M+/+ after bleomycin and saline treatment (n = 6). Green, TUNEL+ cells. Total original magnification, 4×. (F) Representative images of TUNEL IF staining with Pro-SPC on lung sections from miR33M/M–/– and miR33M/M+/+ after bleomycin treatment (n = 6). Green, TUNEL; red, SPC. Total original magnification, 4× and 20×. (G) Quantification analysis of TUNEL+SPC+ cells on lung sections from miR33M/M–/– and miR33M/M+/+ after bleomycin (n = 6). (H and I) Schematic experimental planning and quantification of Caspase 3/7 activity measured in small airway epithelial cells (SAEC) with and without bleomycin after exposure to the supernatants harvested from ablated miR-33 AM (using PNA-33 or scrambled control) from WT mice. All data were analyzed by ANOVA or Kruskal-Wallis tests, followed by post hoc analysis, and are presented as mean ± SEM. *P ≤ 0.05, **P <0.01, ***P < 0.001.

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