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Mitochondrial iron chelation ameliorates cigarette smoke–induced bronchitis and emphysema in mice
Open accessAbstract
Chronic obstructive pulmonary disease (COPD) is linked to both cigarette smoking and genetic determinants. We have previously identified iron-responsive element–binding protein 2 (IRP2) as an important COPD susceptibility gene and have shown that IRP2 protein is increased in the lungs of individuals with COPD. Here we demonstrate that mice deficient in Irp2 were protected from cigarette smoke (CS)-induced experimental COPD. By integrating RNA immunoprecipitation followed by sequencing (RIP-seq), RNA sequencing (RNA-seq), and gene expression and functional enrichment clustering analysis, we identified Irp2 as a regulator of mitochondrial function in the lungs of mice. Irp2 increased mitochondrial iron loading and levels of cytochrome c oxidase (COX), which led to mitochondrial dysfunction and subsequent experimental COPD. Frataxin-deficient mice, which had higher mitochondrial iron loading, showed impaired airway mucociliary clearance (MCC) and higher pulmonary inflammation at baseline, whereas mice deficient in the synthesis of cytochrome c oxidase, which have reduced COX, were protected from CS-induced pulmonary inflammation and impairment of MCC. Mice treated with a mitochondrial iron chelator or mice fed a low-iron diet were protected from CS-induced COPD. Mitochondrial iron chelation also alleviated CS-induced impairment of MCC, CS-induced pulmonary inflammation and CS-associated lung injury in mice with established COPD, suggesting a critical functional role and potential therapeutic intervention for the mitochondrial-iron axis in COPD.
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Filosa, A., Vitrano, A., Rigano, P., et al. (2013) · Blood Cells Molecules and Diseases · doi:10.1016/j.bcmd.2013.04.002 · Cited by 30
The clinical significance of anaemia and disturbed iron homeostasis in chronic respiratory failure
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Metadata
- Authors
- Cloonan, S. M., Glass, K., Laucho-Contreras, M. E., Bhashyam, A. R., Cervo, M., Pabón, M. A., Konrad, C., Polverino, F., Siempos, I. I., Perez, E., Mizumura, K., Ghosh, M. C., Parameswaran, H., Williams, N. C., Rooney, K. T., Chen, Z.-H., Goldklang, M. P., Yuan, G.-C., Moore, S. C., Demeo, D. L., Rouault, T. A., D'Armiento, J. M., Schon, E. A., Manfredi, G., Quackenbush, J., Mahmood, A., Silverman, E. K., Owen, C. A., & Choi, A. M. K.
- Venue
- Nature Medicine
- Published
- 2016-01-11
- Volume
- 22
- Issue
- 2
- Pages
- 163-174
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2255333206
- Cited by
- 257
- References
- 87
- FWCI
- 22.77
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.