Evidence map›Paper›PMID 26924056›Full record

ArticleKidney international2016

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

Vishal K Varma, Andre Kajdacsy-Balla, Sanjeev K Akkina, Suman Setty, Michael J Walsh

Open access · greenAbstract read
In one paragraph

Article in Kidney international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
9.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The Potential Use of Near- and Mid-Infrared Spectroscopy in Kidney Diseases.International journal of molecular sciences · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Banff Digital Pathology Working Group: Going digital in transplant pathology.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Vishal K VarmaDepartment of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, USA.
Andre Kajdacsy-BallaDepartment of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA.
Sanjeev K AkkinaDepartment of Nephrology, University of Illinois at Chicago, Chicago, Illinois, USA.
Suman SettyDepartment of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA.
Michael J WalshDepartment of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, USA; Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA. Electronic address: walshm@uic.edu.
University of Illinois Chicago · US

Funding

Novel Biomarkers in Interstitial Fibrosis/Tubular Atrophy in Kidney TransplantsK23DK084121 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AKKINA, SANJEEV KUMAR · 2009 to 2013
$760k
Early detection of diabetic nephropathy in kidney transplants by chemical imaging approachesR21DK103066 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI WALSH, MICHAEL JOHN · 2015 to 2016
$426k
NIDDK NIH HHS 5K23DK084121NIDDK NIH HHS K23 DK084121NIDDK NIH HHS R21 DK103066NIDDK NIH HHS R21DK103066
6 · The paper itself

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.

Indexed as

AdultBiomarkersBiopsyCase-Control StudiesDiabetic NephropathiesDisease ProgressionHumansKidneyKidney TransplantationMiddle AgedPredictive Value of TestsRecurrenceReproducibility of ResultsSpectrophotometry, InfraredTime FactorsTreatment OutcomeBiomarkersbiopsydiabetesimaginginfraredpathologyspectroscopytransplant

Identifiers

PMID26924056
PMCPMC4834260
OpenAlexW2273144352

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.