A label-free approach by infrared spectroscopic imaging for interrogating the biochemistry of diabetic nephropathy progression
Routine histology, the current gold standard, involves staining for specific biomolecules. However, untapped biochemical information in tissue can be gathered using biochemical imaging. Infrared spectroscopy is an emerging modality that allows label-free chemical imaging to derive biochemical inform...
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Published in | Kidney international Vol. 89; no. 5; pp. 1153 - 1159 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Elsevier Inc
01.05.2016
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Abstract | Routine histology, the current gold standard, involves staining for specific biomolecules. However, untapped biochemical information in tissue can be gathered using biochemical imaging. Infrared spectroscopy is an emerging modality that allows label-free chemical imaging to derive biochemical information (such as protein, lipids, DNA, collagen) from tissues. Here we employed this technology in order to better predict the development of diabetic nephropathy. Using human primary kidney biopsies or nephrectomies, we obtained tissue from 4 histologically normal kidneys, 4 histologically normal kidneys from diabetic subjects, and 5 kidneys with evidence of diabetic nephropathy. A biochemical signature of diabetic nephropathy was derived that enabled prediction of nephropathy based on the ratio of only 2 spectral frequencies. Nonetheless, using the entire spectrum of biochemical information, we were able to detect renal disease with near-perfect accuracy. Additionally, study of sequential protocol biopsies from 3 transplanted kidneys showed biochemical changes even prior to clinical manifestation of diabetic nephropathy. Thus, infrared imaging can identify critical biochemical alterations that precede morphologic changes, potentially allowing for earlier intervention. |
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AbstractList | Routine histology, the current gold standard, involves staining for specific biomolecules. However, untapped biochemical information in tissue can be gathered using biochemical imaging. Infrared spectroscopy is an emerging modality that allows label-free chemical imaging to derive biochemical information (such as protein, lipids, DNA, collagen) from tissues. Here we employed this technology in order to better predict the development of diabetic nephropathy. Using human primary kidney biopsies or nephrectomies, we obtained tissue from 4 histologically normal kidneys, 4 histologically normal kidneys from diabetic subjects, and 5 kidneys with evidence of diabetic nephropathy. A biochemical signature of diabetic nephropathy was derived that enabled prediction of nephropathy based on the ratio of only 2 spectral frequencies. Nonetheless, using the entire spectrum of biochemical information, we were able to detect renal disease with near-perfect accuracy. Additionally, study of sequential protocol biopsies from 3 transplanted kidneys showed biochemical changes even prior to clinical manifestation of diabetic nephropathy. Thus, infrared imaging can identify critical biochemical alterations that precede morphologic changes, potentially allowing for earlier intervention. Routine histology, the current gold standard, involves staining for specific biomolecules. However, untapped biochemical information in tissue can be gathered using biochemical imaging. Infrared spectroscopy is an emerging modality that allows label-free chemical imaging to derive biochemical information (such as protein, lipids, DNA, collagen) from tissues. Here we employed this technology in order to better predict the development of diabetic nephropathy. Using human primary kidney biopsies or nephrectomies, we obtained tissue from 4 histologically normal kidneys, 4 histologically normal kidneys from diabetic subjects, and 5 kidneys with evidence of diabetic nephropathy. A biochemical signature of diabetic nephropathy was derived that enabled prediction of nephropathy based on the ratio of only 2 spectral frequencies. Nonetheless, using the entire spectrum of biochemical information, we were able to detect renal disease with near-perfect accuracy. Additionally, study of sequential protocol biopsies from 3 transplanted kidneys showed biochemical changes even prior to clinical manifestation of diabetic nephropathy. Thus, infrared imaging can identify critical biochemical alterations that precede morphologic changes, potentially allowing for earlier intervention.Routine histology, the current gold standard, involves staining for specific biomolecules. However, untapped biochemical information in tissue can be gathered using biochemical imaging. Infrared spectroscopy is an emerging modality that allows label-free chemical imaging to derive biochemical information (such as protein, lipids, DNA, collagen) from tissues. Here we employed this technology in order to better predict the development of diabetic nephropathy. Using human primary kidney biopsies or nephrectomies, we obtained tissue from 4 histologically normal kidneys, 4 histologically normal kidneys from diabetic subjects, and 5 kidneys with evidence of diabetic nephropathy. A biochemical signature of diabetic nephropathy was derived that enabled prediction of nephropathy based on the ratio of only 2 spectral frequencies. Nonetheless, using the entire spectrum of biochemical information, we were able to detect renal disease with near-perfect accuracy. Additionally, study of sequential protocol biopsies from 3 transplanted kidneys showed biochemical changes even prior to clinical manifestation of diabetic nephropathy. Thus, infrared imaging can identify critical biochemical alterations that precede morphologic changes, potentially allowing for earlier intervention. Routine histology, the current gold standard, involves staining for specific biomolecules. However, untapped biochemical information in tissue can be gathered using biochemical imaging. Infrared spectroscopy is an emerging modality that allows label-free chemical imaging to derive biochemical information (such as protein, lipids, DNA, collagen) from tissues. Here we employed this technology in order to better predict the development of diabetic nephropathy. Using human primary kidney biopsies or nephrectomies, we obtained tissue from four histologically normal kidneys, four histologically normal kidneys from diabetic subjects and five kidneys with evidence of diabetic nephropathy. A biochemical signature of diabetic nephropathy was derived that enabled prediction of nephropathy based on the ratio of only two spectral frequencies. Nonetheless, using the entire spectrum of biochemical information, we were able to detect renal disease with near perfect accuracy. Additionally, study of sequential protocol biopsies from three transplanted kidneys showed biochemical changes even prior to clinical manifestation of diabetic nephropathy. Thus, infrared imaging can identify critical biochemical alterations that precede morphological changes, potentially allowing for earlier intervention. |
Author | Varma, Vishal K. Kajdacsy-Balla, Andre Akkina, Sanjeev K. Setty, Suman Walsh, Michael J. |
AuthorAffiliation | 3 Department of Nephrology, University of Illinois at Chicago, Chicago, IL, USA 1 Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA 2 Department of Pathology, University of Illinois at Chicago, Chicago, IL, USA |
AuthorAffiliation_xml | – name: 3 Department of Nephrology, University of Illinois at Chicago, Chicago, IL, USA – name: 2 Department of Pathology, University of Illinois at Chicago, Chicago, IL, USA – name: 1 Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA |
Author_xml | – sequence: 1 givenname: Vishal K. surname: Varma fullname: Varma, Vishal K. organization: Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, USA – sequence: 2 givenname: Andre surname: Kajdacsy-Balla fullname: Kajdacsy-Balla, Andre organization: Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA – sequence: 3 givenname: Sanjeev K. surname: Akkina fullname: Akkina, Sanjeev K. organization: Department of Nephrology, University of Illinois at Chicago, Chicago, Illinois, USA – sequence: 4 givenname: Suman surname: Setty fullname: Setty, Suman organization: Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA – sequence: 5 givenname: Michael J. surname: Walsh fullname: Walsh, Michael J. email: walshm@uic.edu organization: Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, USA |
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SubjectTerms | Adult Biomarkers - metabolism Biopsy Case-Control Studies diabetes Diabetic Nephropathies - metabolism Diabetic Nephropathies - pathology Diabetic Nephropathies - surgery Disease Progression Humans imaging infrared Kidney - metabolism Kidney - pathology Kidney - surgery Kidney Transplantation Middle Aged pathology Predictive Value of Tests Recurrence Reproducibility of Results Spectrophotometry, Infrared - methods spectroscopy Time Factors transplant Treatment Outcome |
Title | A label-free approach by infrared spectroscopic imaging for interrogating the biochemistry of diabetic nephropathy progression |
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