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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 4

The absence of miR-33 in macrophages improves mitochondrial homeostasis (function and structure) at baseline and after bleomycin injury.

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The absence of miR-33 in macrophages improves mitochondrial homeostasis ...
(A–D) qPCR analysis of miR-33 and target gene expression in response to inhibition by miR-33 antagomir in AM in vitro with and without bleomycin (n = 10). miR-33, Pgc-1α, Abca1, and Sirt3 relative expressions. (E–H) Seahorse analysis of AM isolated from miR33M/M–/– versus miR33M/M+/+ in response to bleomycin and saline. The analysis was measured under basal conditions followed by the addition of oligomycin, FCCP, rotenone, and antimycin (n = 16 in all groups). (E and F) Oxygen consumption rate (OCR, pmol/min). (G and H) Extracellular acidification rate (ECAR, pmpH/min). (I) Measurement of free circulating mtDNA by qPCR in the BAL isolated from miR33M/M–/– versus miR33M/M+/+ mice in response to bleomycin and saline (n = 6 for saline, n = 10 for bleomycin groups). (J–M) Representative images of transmission electron microscopy (TEM) imaging on lung tissues isolated from miR33M/M–/– versus miR33M/M+/+ mice in response to bleomycin and saline (n = 8). Red arrows indicate mitochondria. (N) Blinded measurements of mitochondria in TEM images from mice AM in miR33M/M–/– versus miR33M/M+/+ mice in bleomycin-treated mice by counting the dysmorphic versus normal-looking mitochondria in different groups (n = 8). (O) Ultrastructural qualitative and quantitative analysis of mitochondria in mice lung TEM images represented as mitochondrial area (au) in miR33M/M–/– versus miR33M/M+/+ mice in bleomycin- and saline-treated mice. The statistical test used were ANOVA or Kruskal-Wallis tests, followed by post hoc analysis. All data are presented as mean ± SEM. *P ≤ 0.05, **P <0.01, ***P < 0.001. Total original magnification, 4× (J and K, top panels in L and M) and 10× (lower panels in L and M).

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