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Seeing kidney injury, as it happens: Animal-model study offers glimpse at real-time changes in kidney

Date:
January 31, 2011
Source:
Columbia University Medical Center
Summary:
The current check for kidney disease is a simple blood test for serum creatinine, but it can take longer than two days for this metabolite to accumulate to levels that are significant enough to indicate kidney damage -- and by then it may be too late to intervene. Now a team of researchers is working to close the gap between kidney injury and diagnosis.

The current check for kidney disease is a simple blood test for serum creatinine, but it can take longer than two days for this metabolite to accumulate to levels that are significant enough to indicate kidney damage -- and by then it may be too late to intervene.

To close the gap between injury and diagnosis, a team of basic scientists and physicians led by Dr. Jonathan Barasch, M.D., Ph.D., associate professor of medicine and cell biology, Dr. Neal Paragas, a postdoctoral fellow, and Dr. Andong Qiu, an associate research scientist at Columbia University Medical Center, has created a "reporter mouse" -- a genetically engineered bioluminescent animal capable of illuminating the onset and the time course of kidney damage by the generation of light.

In a paper published online in the journal Nature Medicine, Drs. Barasch, Paragas and Qiu report a technique to detect in a living mouse the appearance of a protein that is activated only when the kidney is bombarded with stimuli that cause sudden kidney injury.

The NGAL (neutrophil gelatinase-associated lipocalin) gene was selected for the creation of the bioluminescent mouse because of the many clinical studies performed at Columbia and Cincinnati Children's Hospital by Drs. Barasch and P. Devarajan, at Kyoto University by Dr. K. Mori, and at the Charite' Universitätsmedizin Berlin by Dr. K.M. Schmidt-Ott that show NGAL can report toxic cellular stresses rather than simple and reversible changes in kidney function.

Drs. Barasch, Paragas and Qiu also set out to determine whether NGAL met the rigorous criteria of a true "biomarker," which requires the simultaneous appearance of the protein at the site of organ damage and in the serum or urine in proportion to the stimulus -- and within a timeframe that allows a physician to intervene in a clinically meaningful way.

"The hope is not only to show further evidence that NGAL immediately detects and measures kidney injury, but to design the fastest and most precise test that will allow physicians to make evidence-based and potentially lifesaving drug treatment decisions, watching the kidney in real time to see if therapies are working," Dr. Paragas said.

The work was supported in part by the U.S. National Institute of Diabetes and Digestive and Kidney Diseases, as well as by the March of Dimes and by Columbia Technology Ventures.


Story Source:

The above story is based on materials provided by Columbia University Medical Center. Note: Materials may be edited for content and length.


Journal Reference:

  1. Neal Paragas, Andong Qiu, Qingyin Zhang, Benjamin Samstein, Shi-Xian Deng, Kai M Schmidt-Ott, Melanie Viltard, Wenqiang Yu, Catherine S Forster, Gangli Gong, Yidong Liu, Ritwij Kulkarni, Kiyoshi Mori, Avtandil Kalandadze, Adam J Ratner, Prasad Devarajan, Donald W Landry, Vivette D'Agati, Chyuan-Sheng Lin, Jonathan Barasch. The Ngal reporter mouse detects the response of the kidney to injury in real time. Nature Medicine, 2011; DOI: 10.1038/nm.2290

Cite This Page:

Columbia University Medical Center. "Seeing kidney injury, as it happens: Animal-model study offers glimpse at real-time changes in kidney." ScienceDaily. ScienceDaily, 31 January 2011. <www.sciencedaily.com/releases/2011/01/110131092151.htm>.
Columbia University Medical Center. (2011, January 31). Seeing kidney injury, as it happens: Animal-model study offers glimpse at real-time changes in kidney. ScienceDaily. Retrieved October 20, 2014 from www.sciencedaily.com/releases/2011/01/110131092151.htm
Columbia University Medical Center. "Seeing kidney injury, as it happens: Animal-model study offers glimpse at real-time changes in kidney." ScienceDaily. www.sciencedaily.com/releases/2011/01/110131092151.htm (accessed October 20, 2014).

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