We have located links that may give you full text access.
Label-free Identification of Antibody-mediated Rejection in Cardiac Allograft Biopsies Using Infrared Spectroscopic Imaging.
Transplantation 2018 October 2
BACKGROUND: Antibody-mediated rejection (AMR) in cardiac allograft recipients remains less well-understood than acute cellular rejection, is associated with worse outcomes, and portends a greater risk of developing chronic allograft vasculopathy. Diffuse immunohistochemical (IHC) C4d staining of capillary endothelia in formalin-fixed, paraffin-embedded (FFPE) right ventricular (RV) endomyocardial biopsies is diagnostic of immunopathologic AMR but serves more as a late-stage marker. Infrared (IR) spectroscopy may be a useful tool in earlier detection of rejection. We performed mid-IR spectroscopy to identify a unique biochemical signature for AMR.
METHODS: A total of 30 posttransplant FFPE RV tissue biopsies (14 positive for C4d and 16 negative for C4d) and 14 native heart biopsies were sectioned for IR analysis. IR images of entire sections were acquired and regions of interest (ROI) from cardiomyocytes were identified. Extracted spectra were averaged across many pixels within each ROI. Principal component analysis coupled with linear discriminant analysis (PCA-LDA) and predictive classifiers were applied to the data.
RESULTS: Comparison of averaged mid-IR spectra revealed unique features among C4d-positive, C4d-negative, and native heart biopsies. PCA-LDA and classification models demonstrated that spectral features from the mid-IR fingerprint region of these 3 groups permitted accurate automated classification into each group.
CONCLUSIONS: In cardiac allograft biopsies with immunopathologic AMR, IR spectroscopy reveals a biochemical signature unique to AMR compared to that of nonrejecting cardiac allografts and native hearts. Future study will focus on the predictive capabilities of this IR signature.
METHODS: A total of 30 posttransplant FFPE RV tissue biopsies (14 positive for C4d and 16 negative for C4d) and 14 native heart biopsies were sectioned for IR analysis. IR images of entire sections were acquired and regions of interest (ROI) from cardiomyocytes were identified. Extracted spectra were averaged across many pixels within each ROI. Principal component analysis coupled with linear discriminant analysis (PCA-LDA) and predictive classifiers were applied to the data.
RESULTS: Comparison of averaged mid-IR spectra revealed unique features among C4d-positive, C4d-negative, and native heart biopsies. PCA-LDA and classification models demonstrated that spectral features from the mid-IR fingerprint region of these 3 groups permitted accurate automated classification into each group.
CONCLUSIONS: In cardiac allograft biopsies with immunopathologic AMR, IR spectroscopy reveals a biochemical signature unique to AMR compared to that of nonrejecting cardiac allografts and native hearts. Future study will focus on the predictive capabilities of this IR signature.
Full text links
Related Resources
Trending Papers
Challenges in Septic Shock: From New Hemodynamics to Blood Purification Therapies.Journal of Personalized Medicine 2024 Februrary 4
Molecular Targets of Novel Therapeutics for Diabetic Kidney Disease: A New Era of Nephroprotection.International Journal of Molecular Sciences 2024 April 4
The 'Ten Commandments' for the 2023 European Society of Cardiology guidelines for the management of endocarditis.European Heart Journal 2024 April 18
A Guide to the Use of Vasopressors and Inotropes for Patients in Shock.Journal of Intensive Care Medicine 2024 April 14
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app