Noninvasive assessment for acute allograft rejection in a rat lung transplantation model

After lung transplantation, early detection of acute allograft rejection is important not only for timely and optimal treatment, but also for the prediction of chronic rejection which is a major cause of late death. Many biological and immunological approaches have been developed to detect acute rej...

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Bibliographic Details
Published in:Physiological reports 2014-12, Vol.2 (12), p.e12244-n/a
Main Authors: Takahashi, Ayuko, Hamakawa, Hiroshi, Sakai, Hiroaki, Zhao, Xiangdong, Chen, Fengshi, Fujinaga, Takuji, Shoji, Tsuyoshi, Bando, Toru, Wada, Hiromi, Date, Hiroshi
Format: Article
Language:English
Subjects:
Acute allograft rejection
Frequency dependence
Graft rejection
Histopathology
Human subjects
Lung diseases
lung impedance
Lung transplantation
Lungs
Mechanical properties
Mechanics
Original Research
Pathology
Recruitment
rejection grade
Respiratory function
Studies
Xenografts
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Summary:After lung transplantation, early detection of acute allograft rejection is important not only for timely and optimal treatment, but also for the prediction of chronic rejection which is a major cause of late death. Many biological and immunological approaches have been developed to detect acute rejection; however, it is not well known whether lung mechanics correlate with disease severity, especially with pathological rejection grade. In this study, we examined the relationship between lung mechanics and rejection grade development in a rat acute rejection model using the forced oscillation technique, which provides noninvasive assessment of lung function. To this end, we assessed lung resistance and elastance (RL and EL) from implanted left lung of these animals. The perivascular/interstitial component of rejection severity grade (A‐grade) was also quantified from histological images using tissue fraction (TF; tissue + cell infiltration area/total area). We found that TF, RL, and EL increased according to A‐grade. There was a strong positive correlation between EL at the lowest frequency (Elow; EL at 0.5 Hz) and TF (r2 = 0.930). Furthermore, the absolute difference between maximum value of EL (Emax) and Elow (Ehet; Emax − Elow) showed the strong relationship with standard deviation of TF (r2 = 0.709), and A‐grade (Spearman's correlation coefficients; rs = 0.964, P 
ISSN:2051-817X
2051-817X
DOI:10.14814/phy2.12244