Literature DB >> 26924056

A label-free approach by infrared spectroscopic imaging for interrogating the biochemistry of diabetic nephropathy progression.

Vishal K Varma1, Andre Kajdacsy-Balla2, Sanjeev K Akkina3, Suman Setty2, Michael J Walsh4.   

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.
Copyright © 2016 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  biopsy; diabetes; imaging; infrared; pathology; spectroscopy; transplant

Mesh:

Substances:

Year:  2016        PMID: 26924056      PMCID: PMC4834260          DOI: 10.1016/j.kint.2015.11.027

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  17 in total

Review 1.  Biospectroscopy to metabolically profile biomolecular structure: a multistage approach linking computational analysis with biomarkers.

Authors:  Jemma G Kelly; Jülio Trevisan; Andrew D Scott; Paul L Carmichael; Hubert M Pollock; Pierre L Martin-Hirsch; Francis L Martin
Journal:  J Proteome Res       Date:  2011-02-11       Impact factor: 4.466

2.  Infrared spectroscopic imaging for histopathologic recognition.

Authors:  Daniel C Fernandez; Rohit Bhargava; Stephen M Hewitt; Ira W Levin
Journal:  Nat Biotechnol       Date:  2005-03-27       Impact factor: 54.908

Review 3.  Update on the long-term complications of renal transplantation.

Authors:  Matthew J Bottomley; Paul N Harden
Journal:  Br Med Bull       Date:  2013-05-02       Impact factor: 4.291

4.  The clinical usefulness of the renal allograft biopsy in the cyclosporine era: a prospective study.

Authors:  M Pascual; H Vallhonrat; A B Cosimi; N Tolkoff-Rubin; R B Colvin; F L Delmonico; D S Ko; D A Schoenfeld; W W Williams
Journal:  Transplantation       Date:  1999-03-15       Impact factor: 4.939

5.  High-resolution Fourier-transform infrared chemical imaging with multiple synchrotron beams.

Authors:  Michael J Nasse; Michael J Walsh; Eric C Mattson; Ruben Reininger; André Kajdacsy-Balla; Virgilia Macias; Rohit Bhargava; Carol J Hirschmugl
Journal:  Nat Methods       Date:  2011-03-20       Impact factor: 28.547

6.  Stain-less staining for computed histopathology.

Authors:  David Mayerich; Michael J Walsh; Andre Kadjacsy-Balla; Partha S Ray; Stephen M Hewitt; Rohit Bhargava
Journal:  Technology (Singap World Sci)       Date:  2015-03

Review 7.  Clinical role of the renal transplant biopsy.

Authors:  Winfred W Williams; Diana Taheri; Nina Tolkoff-Rubin; Robert B Colvin
Journal:  Nat Rev Nephrol       Date:  2012-01-10       Impact factor: 28.314

8.  High-definition infrared spectroscopic imaging.

Authors:  Rohith K Reddy; Michael J Walsh; Matthew V Schulmerich; P Scott Carney; Rohit Bhargava
Journal:  Appl Spectrosc       Date:  2013-01       Impact factor: 2.388

9.  Expression of Smad1 is directly associated with mesangial matrix expansion in rat diabetic nephropathy.

Authors:  Takeshi Matsubara; Hideharu Abe; Hidenori Arai; Kojiro Nagai; Akira Mima; Hiroshi Kanamori; Eriko Sumi; Toshikazu Takahashi; Motokazu Matsuura; Noriyuki Iehara; Atsushi Fukatsu; Toru Kita; Toshio Doi
Journal:  Lab Invest       Date:  2006-04       Impact factor: 5.662

10.  Using Fourier transform IR spectroscopy to analyze biological materials.

Authors:  Matthew J Baker; Júlio Trevisan; Paul Bassan; Rohit Bhargava; Holly J Butler; Konrad M Dorling; Peter R Fielden; Simon W Fogarty; Nigel J Fullwood; Kelly A Heys; Caryn Hughes; Peter Lasch; Pierre L Martin-Hirsch; Blessing Obinaju; Ganesh D Sockalingum; Josep Sulé-Suso; Rebecca J Strong; Michael J Walsh; Bayden R Wood; Peter Gardner; Francis L Martin
Journal:  Nat Protoc       Date:  2014-07-03       Impact factor: 13.491

View more
  19 in total

1.  Reagent-Free and Rapid Assessment of T Cell Activation State Using Diffraction Phase Microscopy and Deep Learning.

Authors:  Sukrut Hemant Karandikar; Chi Zhang; Akilan Meiyappan; Ishan Barman; Christine Finck; Pramod Kumar Srivastava; Rishikesh Pandey
Journal:  Anal Chem       Date:  2019-02-22       Impact factor: 6.986

Review 2.  Label-free molecular imaging of the kidney.

Authors:  Boone M Prentice; Richard M Caprioli; Vincent Vuiblet
Journal:  Kidney Int       Date:  2017-07-24       Impact factor: 10.612

3.  Integration of diffraction phase microscopy and Raman imaging for label-free morpho-molecular assessment of live cells.

Authors:  Rishikesh Pandey; Renjie Zhou; Rosalie Bordett; Ciera Hunter; Kristine Glunde; Ishan Barman; Tulio Valdez; Christine Finck
Journal:  J Biophotonics       Date:  2018-12-13       Impact factor: 3.207

Review 4.  Biomarkers in ANCA-Associated Vasculitis: Potential Pitfalls and Future Prospects.

Authors:  Adam D Morris; Anthony W Rowbottom; Francis L Martin; Alexander Woywodt; Ajay P Dhaygude
Journal:  Kidney360       Date:  2021-01-19

5.  Statistical Considerations and Tools to Improve Histopathologic Protocols with Spectroscopic Imaging.

Authors:  Shachi Mittal; Jonathan Kim; Rohit Bhargava
Journal:  Appl Spectrosc       Date:  2022-03-16       Impact factor: 3.588

6.  Label-free spectrochemical probe for determination of hemoglobin glycation in clinical blood samples.

Authors:  Rishikesh Pandey; Surya P Singh; Chi Zhang; Gary L Horowitz; Niyom Lue; Luis Galindo; Ramachandra R Dasari; Ishan Barman
Journal:  J Biophotonics       Date:  2018-06-19       Impact factor: 3.207

7.  Infrared spectroscopic imaging detects chemical modifications in liver fibrosis due to diabetes and disease.

Authors:  Hari Sreedhar; Vishal K Varma; Francesca V Gambacorta; Grace Guzman; Michael J Walsh
Journal:  Biomed Opt Express       Date:  2016-05-27       Impact factor: 3.732

Review 8.  Artificial intelligence and algorithmic computational pathology: an introduction with renal allograft examples.

Authors:  Alton B Farris; Juan Vizcarra; Mohamed Amgad; Lee A D Cooper; David Gutman; Julien Hogan
Journal:  Histopathology       Date:  2021-03-08       Impact factor: 5.087

9.  Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy.

Authors:  Adam D Morris; Camilo L M Morais; Kássio M G Lima; Daniel L D Freitas; Mark E Brady; Ajay P Dhaygude; Anthony W Rowbottom; Francis L Martin
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

10.  Simultaneous Characterization of Implant Wear and Tribocorrosion Debris within Its Corresponding Tissue Response Using Infrared Chemical Imaging.

Authors:  Songyun Liu; Deborah J Hall; Craig J Della Valle; Michael J Walsh; Joshua J Jacobs; Robin Pourzal
Journal:  Biotribology (Oxf)       Date:  2021-02-19
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.