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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 8

Pharmacologic inhibition of miR-33 using PNA-33 ameliorates fibrosis in mice and human ex vivo models of PF.

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Pharmacologic inhibition of miR-33 using PNA-33 ameliorates fibrosis in ...
(A–E) Evaluation of antifibrotic effects of PNA-33 in murine ex vivo model. Mouse PCLS isolated at day 14 after bleomycin or saline treatment. Bleomycin, red; saline, blue. (A) Two-photon microscopy imaging of mice PCLS from the bleomycin-treated group at the end of 5 days of stimulation with PNA-33 TAMRA conjugated or scrambled control. Blue, collagen; orange, TAMRA accumulation in macrophages. Total original magnification, 4× and 10×. (B–D) qPCR analysis of Acta2, Col1a1, Pgc-1α, and Abca1 in mouse PCLS after bleomycin following 5 days of stimulation with PNA-33 or scramble (n = 6 per group). 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. (F–H) Evaluation of antifibrotic effects of PNA-33 in human ex vivo model. hPCLS prepared from human IPF lungs isolated and treated with PNA-33 or scrambled control for 5 days before performing RNA-Seq. (F) Heatmap showing the fibrotic gene expression in IPF PCLS treated with PNA-33 or scramble. (G) Heatmap showing the profibrotic macrophage gene expression alterations by PNA-33 in IPF PCLS. (H) Scatterplot of genes found significantly differentially expressed in IPF lung macrophage versus controls (in single-cell RNA-Seq analysis) compared with IPF PCLS treated or untreated with miR-33 inhibitor (PNA-33). The x axis corresponds to the log fold change differences in IPF versus control lung macrophage reported in single-cell RNA-Seq analysis, the y axis corresponds to fold change differences in IPF PCLS following treatment with PNA-33. The size of each dot corresponds to the negative log–10 transformed P values of a comparison of IPF PCLS with or without miR-33 treatment.

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