scholarly journals Saturation Transfer MRI for Detection of Metabolic and Microstructural Impairments Underlying Neurodegeneration in Alzheimer’s Disease

2021 ◽  
Vol 12 (1) ◽  
pp. 53
Author(s):  
Anna Orzyłowska ◽  
Wendy Oakden

Alzheimer’s disease (AD) is one of the most common causes of dementia and difficult to study as the pool of subjects is highly heterogeneous. Saturation transfer (ST) magnetic resonance imaging (MRI) methods are quantitative modalities with potential for non-invasive identification and tracking of various aspects of AD pathology. In this review we cover ST-MRI studies in both humans and animal models of AD over the past 20 years. A number of magnetization transfer (MT) studies have shown promising results in human brain. Increased computing power enables more quantitative MT studies, while access to higher magnetic fields improves the specificity of chemical exchange saturation transfer (CEST) techniques. While much work remains to be done, results so far are very encouraging. MT is sensitive to patterns of AD-related pathological changes, improving differential diagnosis, and CEST is sensitive to particular pathological processes which could greatly assist in the development and monitoring of therapeutic treatments of this currently incurable disease.

2006 ◽  
Vol 14 (7S_Part_13) ◽  
pp. P703-P703
Author(s):  
Daniele Tolomeo ◽  
Edoardo Micotti ◽  
Sonia Colombo Serra ◽  
Anniina Snellman ◽  
Michael Chappel ◽  
...  

2021 ◽  
Author(s):  
Aditya N. Bade ◽  
Howard E. Gendelman ◽  
JoEllyn McMillan ◽  
Yutong Liu

AbstractHuman immunodeficiency virus type-1 (HIV-1) antiretroviral drug (ARV) theranostics facilitates biodistribution and efficacy of therapies designed to target viral reservoirs. To this end, we have now deployed intrinsic drug chemical exchange saturation transfer (CEST) contrast to detect ARV distribution within the central nervous system (CNS).MethodsCEST effects for lamivudine (3TC) and emtricitabine (FTC) were measured by asymmetric magnetization transfer ratio analyses in solutions. CEST magnetic resonance imaging (MRI) was performed on 3TC-treated mice with analysis made by Lorentzian fitting.ResultsCEST effects of 3TC and FTC hydroxyl and amino protons linearly correlated to drug concentrations. 3TC was successfully detected in brain sub-regions by MRI. The imaging results were validated by measurements of CNS drug concentrations.ConclusionCEST contrasts can be used to detect ARVs using MRI. Such detection can be used to assess spatial-temporal drug biodistribution. This is most notable within the CNS where drug biodistribution may be more limited with the final goal of better understanding ARV-associated efficacy and potential toxicity.


Author(s):  
Dario Livio Longo ◽  
Pietro Irrera ◽  
Lorena Consolino ◽  
Phillip Zhe Sun ◽  
Michael T. McMahon

AbstractMagnetic Resonance Imaging (MRI) has been actively explored in the last several decades for assessing renal function by providing several physiological information, including glomerular filtration rate, renal plasma flow, tissue oxygenation and water diffusion. Within MRI, the developing field of chemical exchange saturation transfer (CEST) has potential to provide further functional information for diagnosing kidney diseases. Both endogenous produced molecules as well as exogenously administered CEST agents have been exploited for providing functional information related to kidney diseases in preclinical studies. In particular, CEST MRI has been exploited for assessing the acid-base homeostasis in the kidney and for monitoring pH changes in several disease models. This review summarizes several CEST MRI procedures for assessing kidney functionality and pH, for monitoring renal pH changes in different kidney injury models and for evaluating renal allograft rejection.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This introduction chapter is complemented by two separate chapters describing the experimental procedure and data analysis.


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