Imaging-based metrics have recently played a central role in the quest to identify COPD phenotypes, serving to establish homogeneous sub-populations to aid in genotyping, therapeutic targeting and design and outcomes assessment. Recent findings in both animals and humans have lead us to believe that CT derived perfusion (PBF) and mean transit time (MTT) measures within regionally injured lung parenchyma provide for a functional phenotype of which may be directly tied to the etiology of the pathologic process leading to emphysema in acentrilobular emphysema susceptible subset of the smoking population. The primary hypotheses of the proposal are built around the notion that smokers prone to emphysema have abnormal vasoregulation in that regional hypoxic pulmonary vasoconstriction (HPV) continues despite regional lung injury. This failure to block vasoconstriction alters the repair response and leads to tissue destruction in emphysema susceptible smokers (SS) with abnormal vasoregulation. The normal response to regional hypoxia is to shunt blood towards better- ventilated regions. However, smoking induces small scale, regional infiltrates which in turn lead to local hypoxia, HPV would interfere with defense mechanisms serving to clear the irritant and thus interfere with mechanisms of repair. We have demonstrated that, in SS subjects with normal PFTs but CT evidence of early centriacinar emphysema (CAE), there is an increased heterogeneity of perfusion. This is supportive of the notion that attenuation of vasoconstriction has failed. Further, we have demonstrated a tight correlation between quantitative CT evidence of emphysema with reduced LV filling down to very small amounts of emphysema. We outline a series of experiments seeking to: 1) link increased pulmonary perfusion heterogeneity in SS subjects to the lung's response to alveolar oxygenation; 2) establish that the perfusion heterogeneity is reversible; 3) demonstrate that the response to inflammation and not just inflammation itself is a key factor in the increased heterogeneity and finally; 4) demonstrate that, by alleviating heterogeneous vasoconstriction, parenchymal hyper-density associated with smoking will clear more quickly in association with smoking cessation. With any combination of positive outcomes of this study, we will have provided new insights into disease etiology, serving to provide new targets for disease intervention and providing the tools needed for assessing outcomes.

Public Health Relevance

This study will use dual energy x-ray computed tomography (DECT) to evaluate the relationship between heterogeneous perfusion, hypoxia (low oxygen in inspired gas) and induction of pulmonary vascular dilatation to characterize emphysema susceptibility in a normal smoking population. We will correlate DECT measures of perfusion with lung injury measured by single photon emission computed tomography (SPECT). We will study the effect of pulmonary arterial vasodilation to see if it eliminates indices of persistent lng injury in smokers that are susceptible to emphysema

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL130883-02
Application #
9231485
Study Section
Special Emphasis Panel (ZRG1-DTCS-A (81)S)
Program Officer
Punturieri, Antonello
Project Start
2016-03-01
Project End
2021-05-31
Budget Start
2017-06-01
Budget End
2018-05-31
Support Year
2
Fiscal Year
2017
Total Cost
$741,642
Indirect Cost
$255,320
Name
University of Iowa
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
062761671
City
Iowa City
State
IA
Country
United States
Zip Code
52246
Iyer, Krishna S; Newell Jr, John D; Jin, Dakai et al. (2016) Quantitative Dual-Energy Computed Tomography Supports a Vascular Etiology of Smoking-induced Inflammatory Lung Disease. Am J Respir Crit Care Med 193:652-61
Jin, Dakai; Guo, Junfeng; Dougherty, Timothy M et al. (2016) A semi-automatic framework of measuring pulmonary arterial metrics at anatomic airway locations using CT imaging. Proc SPIE Int Soc Opt Eng 9788: