Assessment of glycosaminoglycan concentration <i>in vivo</i> by chemical exchange-dependent saturation transfer (gagCEST)
Why is this work in the frame?
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No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Machine scores (provisional)
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- Teacher spread
- 0.253 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Glycosaminogycans (GAGs) are involved in numerous vital functions in the human body. Mapping the GAG concentration in vivo is desirable for the diagnosis and monitoring of a number of diseases such as osteoarthritis, which affects millions of individuals. GAG loss in cartilage is typically an initiating event in osteoarthritis. Another widespread pathology related to GAG is intervertebral disk degeneration. Currently existing techniques for GAG monitoring, such as delayed gadolinium-enhanced MRI contrast (dGEMRIC), T(1)(rho), and (23)Na MRI, have some practical limitations. We show that by exploiting the exchangeable protons of GAG one may directly measure the localized GAG concentration in vivo with high sensitivity and therefore obtain a powerful diagnostic MRI method.
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The record
- Venue
- Proceedings of the National Academy of Sciences
- Topic
- Lanthanide and Transition Metal Complexes
- Field
- Materials Science
- Canadian institutions
- —
- Funders
- Division of ChemistryNational Institute of General Medical SciencesU.S. Public Health ServiceOffice of ScienceNational Institute of Arthritis and Musculoskeletal and Skin DiseasesSiemens Medical Solutions USACentre d'Imagerie BioMédicaleYork UniversityNational Institutes of HealthNational Science Foundation
- Keywords
- GlycosaminoglycanIn vivoOsteoarthritisGadoliniumCartilageChemistryPathologyNuclear magnetic resonanceMedicineBiologyBiochemistryAnatomyPhysicsGenetics
- Has abstract in OpenAlex
- yes