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      Association of urine mitochondrial DNA with clinical measures of COPD in the SPIROMICS cohort

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          Abstract

          Mitochondrial dysfunction, a proposed mechanism of chronic obstructive pulmonary disease (COPD) pathogenesis, is associated with the leakage of mitochondrial DNA (mtDNA), which may be detected extracellularly in various bodily fluids. Despite evidence for the increased prevalence of chronic kidney disease in COPD subjects and for mitochondrial dysfunction in the kidneys of murine COPD models, whether urine mtDNA (u-mtDNA) associates with measures of disease severity in COPD is unknown. Cell-free u-mtDNA, defined as copy number of mitochondrially encoded NADH dehydrogenase-1 ( MTND1 ) gene, was measured by quantitative PCR and normalized to urine creatinine in cell-free urine samples from participants in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) cohort. Urine albumin/creatinine ratios (UACR) were measured in the same samples. Associations between u-mtDNA, UACR, and clinical disease parameters — including FEV 1 % predicted, clinical measures of exercise tolerance, respiratory symptom burden, and chest CT measures of lung structure — were examined. U-mtDNA and UACR levels were measured in never smokers ( n = 64), smokers without airflow obstruction ( n = 109), participants with mild/moderate COPD ( n = 142), and participants with severe COPD ( n = 168). U-mtDNA was associated with increased respiratory symptom burden, especially among smokers without COPD. Significant sex differences in u-mtDNA levels were observed, with females having higher u-mtDNA levels across all study subgroups. U-mtDNA associated with worse spirometry and CT emphysema in males only and with worse respiratory symptoms in females only. Similar associations were not found with UACR. U-mtDNA levels may help to identify distinct clinical phenotypes and underlying pathobiological differences in males versus females with COPD. This study has been registered at ClinicalTrials.gov ( NCT01969344). US NIH, National Heart, Lung and Blood Institute, supplemented by contributions made through the Foundation for the NIH and the COPD Foundation from AstraZeneca/MedImmune, Bayer, Bellerophon Therapeutics, Boehringer-Ingelheim Pharmaceuticals Inc., Chiesi Farmaceutici S.p.A., Forest Research Institute Inc., GlaxoSmithKline, Grifols Therapeutics Inc., Ikaria Inc., Novartis Pharmaceuticals Corporation, Nycomed GmbH, ProterixBio, Regeneron Pharmaceuticals Inc., Sanofi, Sunovion, Takeda Pharmaceutical Company, and Theravance Biopharma and Mylan. Urine mitochondrial DNA associates with distinct clinical phenotypes in chronic obstructive pulmonary disease in a large multicenter cohort, with notable sex differences.

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          Most cited references63

          • Record: found
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          Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study

          The Lancet, 349(9064), 1498-1504
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            • Article: not found

            Clinical Significance of Symptoms in Smokers with Preserved Pulmonary Function.

            Currently, the diagnosis of chronic obstructive pulmonary disease (COPD) requires a ratio of forced expiratory volume in 1 second (FEV1) to forced vital capacity (FVC) of less than 0.70 as assessed by spirometry after bronchodilator use. However, many smokers who do not meet this definition have respiratory symptoms.
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              CT-based Biomarker Provides Unique Signature for Diagnosis of COPD Phenotypes and Disease Progression

              Chronic obstructive pulmonary disease (COPD) is increasingly being recognized as a highly heterogeneous disorder, composed of varying pathobiology. Accurate detection of COPD subtypes by image biomarkers are urgently needed to enable individualized treatment thus improving patient outcome. We adapted the Parametric Response Map (PRM), a voxel-wise image analysis technique, for assessing COPD phenotype. We analyzed whole lung CT scans of 194 COPD individuals acquired at inspiration and expiration from the COPDGene Study. PRM identified the extent of functional small airways disease (fSAD) and emphysema as well as provided CT-based evidence that supports the concept that fSAD precedes emphysema with increasing COPD severity. PRM is a versatile imaging biomarker capable of diagnosing disease extent and phenotype, while providing detailed spatial information of disease distribution and location. PRMs ability to differentiate between specific COPD phenotypes will allow for more accurate diagnosis of individual patients complementing standard clinical techniques.
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                Journal
                JCI Insight
                American Society for Clinical Investigation
                2379-3708
                February 13 2020
                February 13 2020
                February 13 2020
                February 13 2020
                : 5
                : 3
                Article
                10.1172/jci.insight.133984
                7098791
                31895696
                6470eb20-21ba-41eb-9456-3c67080eb661
                © 2020
                History

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