Raman Spectroscopy for the Diagnosis of Intratubular Triamterene Crystallization

Sperati, C. John; Zhang, Chi; Delsante, Marco; Gupta, Rajib; Bagnasco, Serena M.; Barman, Ishan

doi:10.1016/j.ekir.2018.03.010

Cited by 6 publications

(11 citation statements)

References 27 publications

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“…In a previous study, we successfully utilized Raman spectroscopy to characterize crystal deposits in kidney biopsies [ 16 ], leading us to expand its application to the study of renal amyloid deposits. Spectroscopic techniques, including Raman spectroscopy, have demonstrated promise in detecting and identifying molecular changes in various kidney conditions [ 47 , 48 ].…”

Section: Resultsmentioning

confidence: 99%

“…Recently, Raman spectroscopy has been utilized to study amyloid fibril formation and structural conformations [ 9 , 10 , 11 , 12 , 13 ]. By vibrationally fingerprinting biological samples at a molecular level, Raman spectroscopy identifies various molecules, including proteins and lipids, with high sensitivity and in a nondestructive and label-free manner [ 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. In addition, its relatively simple setup and the lack of a requirement for a priori knowledge of sample composition make Raman spectroscopy a potential tool to study amyloidosis.…”

Section: Introductionmentioning

confidence: 99%

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Non-Perturbative Identification and Subtyping of Amyloidosis in Human Kidney Tissue with Raman Spectroscopy and Machine Learning

et al. 2023

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Amyloids are proteins with characteristic beta-sheet secondary structures that display fibrillary ultrastructural configurations. They can result in pathologic lesions when deposited in human organs. Various types of amyloid protein can be routinely identified in human tissue specimens by special stains, immunolabeling, and electron microscopy, and, for certain forms of amyloidosis, mass spectrometry is required. In this study, we applied Raman spectroscopy to identify immunoglobulin light chain and amyloid A amyloidosis in human renal tissue biopsies and compared the results with a normal kidney biopsy as a control case. Raman spectra of amyloid fibrils within unstained, frozen, human kidney tissue demonstrated changes in conformation of protein secondary structures. By using t-distributed stochastic neighbor embedding (t-SNE) and density-based spatial clustering of applications with noise (DBSCAN), Raman spectroscopic data were accurately classified with respect to each amyloid type and deposition site. To the best of our knowledge, this is the first time Raman spectroscopy has been used for amyloid characterization of ex vivo human kidney tissue samples. Our approach, using Raman spectroscopy with machine learning algorithms, shows the potential for the identification of amyloid in pathologic lesions.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-Perturbative Identification and Subtyping of Amyloidosis in Human Kidney Tissue with Raman Spectroscopy and Machine Learning

et al. 2023

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“…3a and b). 50 In this way, the key role of the silica shell as a size exclusion barrier is demonstrated. The functional features of the shell are additionally confirmed by a control experiment in which adenine alone is poured into the enzyme solution under the same reaction conditions.…”

Section: Nanoscale Papermentioning

confidence: 98%

SERS optical accumulators as unified nanoplatforms for tear sampling and sensing in soft contact lenses

et al. 2022

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“…Lesser known techniques can be applied for specific purposes to tissue analysis in biopsy samples: Raman spectroscopy was recently used to identify triamterene crystals in a frozen human kidney sample (44), and second harmonic generation imaging microscopy can be used to visualize and measure collagen tissue and fibrosis in unstained tissue sections (12,48).…”

Section: New Diagnostic Processesmentioning

confidence: 99%

Beyond the microscope: interpreting renal biopsy findings in the era of precision medicine

Bagnasco¹

2018

American Journal of Physiology-Renal Physiology

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As rapid progress in science and biotechnology is affecting the practice of renal medicine, increasingly precise diagnostic assessment is needed to select the most effective therapeutic approach for individual patients. The kidney biopsy remains the gold standard for the diagnosis of renal disease, but the field of renal pathology is evolving, classification of renal parenchyma lesions and histopathological diagnostic criteria are undergoing more validation and updates, and new technologies and assays are sought to improve efficiency and accuracy of the diagnostic process. How new knowledge and scientific advances may potentially affect renal pathology is discussed.

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Raman Spectroscopy for the Diagnosis of Intratubular Triamterene Crystallization

Cited by 6 publications

References 27 publications

Non-Perturbative Identification and Subtyping of Amyloidosis in Human Kidney Tissue with Raman Spectroscopy and Machine Learning

Non-Perturbative Identification and Subtyping of Amyloidosis in Human Kidney Tissue with Raman Spectroscopy and Machine Learning

SERS optical accumulators as unified nanoplatforms for tear sampling and sensing in soft contact lenses

Beyond the microscope: interpreting renal biopsy findings in the era of precision medicine

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