Abstract
Diabetic nephropathy (DN) is one of the major leading cause of kidney failure. To identify the progression of chronic kidney disease (CKD), renal function/fibrosis is playing a crucial role. Unfortunately, lack of sensitivities/specificities of available clinical biomarkers are key major issues for practical healthcare applications to identify the renal functions/fibrosis in the early stage of DN. Thus, there is an emerging approach such as therapeutic or diagnostic are highly desired to conquer the CKD at earlier stages. Herein, we applied and examined the application of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) and diffusion weighted imaging (DWI) to identify the progression of fibrosis between wild type (WT) and miR29a transgenic (Tg) mice during streptozotocin (STZ)-induced diabetes. Further, we also validate the potential renoprotective role of miR29a to maintain the renal perfusion, volume, and function. In addition, Ktrans values of DCE-MRI and apparent diffusion coefficient (ADC) of DWI could significantly reflect the level of fibrosis between WT and Tg mice at identical conditions. As a result, we strongly believed that the present non-invasive MR imaging platforms have potential to serveas an important tool in research and clinical imaging for renal fibrosis in diabetes, and that microenvironmental changes could be identified by MR imaging acquisition prior to histological biopsy and diabetic podocyte dysfunction.
Highlights
Abbreviations CO Renal cortex OSOM Outer stripe of the outer medulla inner stripe of the outer medulla (ISOM) Inner stripe of the outer medulla IM Inner medulla MRI Magnetic resonance imaging diffusion weighted imaging (DWI) Diffusion weighted imaging region of interest (ROI) Regions-of-interest FA Fractional anisotropy apparent diffusion coefficient (ADC) Apparent diffusion coefficient dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) Dynamic contrast enhancement magnetic resonance imaging Ktrans The volume transfer constant adm.cgmh.org.tw
To make it more clear, firstly we calculated the ratio of the renal architecture by delineated the region of interest (ROI) with manual contouring (Fig. 1a) on advice of nephrologist, co-assistance from the immunohistochemistry (IHC) staining analysis.From the high-resolution coronal T2-weighted MR imaging (T2-WI) we could identify the structure of the renal cortex (CO), the outer stripe of the outer medulla (OSOM), the inner stripe of the outer medulla (ISOM), and the inner medulla (Fig. 1c) without motion artifacts
We demonstrate that the diffusion weighted imaging (DWI) with ADC mapping imaging (Fig. 1d) are distortion-free and the layers of kidney were clearly distinguishable, as Scientific Reports | (2021) 11:1909 |
Summary
Abbreviations CO Renal cortex OSOM Outer stripe of the outer medulla ISOM Inner stripe of the outer medulla IM Inner medulla MRI Magnetic resonance imaging DWI Diffusion weighted imaging ROIs Regions-of-interest FA Fractional anisotropy ADC Apparent diffusion coefficient DCE-MRI Dynamic contrast enhancement magnetic resonance imaging Ktrans The volume transfer constant adm.cgmh.org.tw. Results show that inducing diabetes in WT mice decreases the Ktrans value in the renal cortex from 242.3 to 120.5 and 267.8 to 121.1 mL/min/1000 mL, respectively, at 8 and 12 weeks.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
