Corporate Banner
Satellite Banner
Genotyping & Gene Expression
Scientific Community
Become a Member | Sign in
Home>News>This Article

ClinMet Metabolomics Platform Offers Unique Insights into Diabetic Kidney Disease

Published: Friday, December 13, 2013
Last Updated: Friday, December 13, 2013
Bookmark and Share
Findings overturn previous belief regarding relationship of mitochondrial activity and diabetic complications.

Researchers from The University of California, San Diego School of Medicine have published new metabolomics research that uncovers a novel, characteristic and highly consistent biochemical signature in urine associated with diabetic kidney disease. The findings, which form a foundation of ClinMet’s proprietary Clinical Metabolomics platform, have implications for the identification of clinically useful biomarkers for kidney function and for sharpening drug development and clinical trials related to chronic kidney disease, as well as to diabetes, obesity and cardiovascular disease.

The new research, authored by U.C. San Diego professor and ClinMet scientific founder, Kumar Sharma, M.D., F.A.H.A (Director of the Center for Renal Translational Medicine, Division of Nephrology-Hypertension and the Institute of Metabolomic Medicine) and colleagues, appears online in the Journal of the American Society of Nephrology. ClinMet has an exclusive license to use this set of metabolites in drug development and other applications, based on patents filed by UC San Diego.

The researchers quantified 94 urine metabolites in subjects with diabetes (type 1 or type 2) and chronic kidney disease (CKD), subjects with diabetes but no kidney disease, and healthy controls. They found that 13 of the metabolites were significantly different in those with disease compared to healthy controls (p values between 10-3 to 10-18), and 12 of 13 remained highly significant when compared to patients with type 1 or type 2 diabetes and no CKD. Moreover, 12 of the 13 metabolites were linked to mitochondrial metabolism and suggested global suppression of mitochondrial activity in the subjects with CKD relative to healthy individuals. This conclusion is in sharp contrast to prevailing beliefs about excess mitochondrial activity having a causal relationship to diabetic complications. The conclusions based on the urine metabolomic studies were independently validated based on protein and DNA analysis, indicating reduced mitochondrial content in the kidneys of patients with diabetic kidney disease.

“It is clear from this study that urine- and plasma-based metabolomics can be a rich source of biomarkers for understanding and treating diabetic kidney disease and possibly for related cardiovascular complications,” said Dr. Sharma. “This approach also offers direct insights into biochemical pathways linked to kidney dysfunction.”

Power of Clinical Metabolomics
“Genomics can help predict overall disease risk or a patient’s potential response to a drug, but cannot capture the effects that changes in diet, environmental factors, or other illnesses have on disease progression or improvement,” said Yesh Subramanian, President, Chief Executive Officer and co-founder of ClinMet. “Clinical metabolomics, in contrast, lets us quickly see biochemically what is happening in specific disease pathways over time and in the context of other factors affecting a patient’s health, including drug therapy. This makes clinical metabolomics a highly actionable platform for translational research and drug development.”

“We see clinical metabolomics enabling our pharmaceutical and biotech customers to effectively implement precision medicine today,” Mr. Subramanian noted. “The ability to predict which patients are likely to better respond to specific treatments holds immense promise for sharpening Phase 2 and 3 clinical trials now, and for improving clinical medicine in the future.” 

Further Information
Access to this exclusive content is for Technology Networks Premium members only.

Join Technology Networks Premium for free access to:

  • Exclusive articles
  • Presentations from international conferences
  • Over 2,700+ scientific posters on ePosters
  • More than 3,800+ scientific videos on LabTube
  • 35 community eNewsletters

Sign In

Forgotten your details? Click Here
If you are not a member you can join here

*Please note: By logging into you agree to accept the use of cookies. To find out more about the cookies we use and how to delete them, see our privacy policy.

Scientific News
Four New Genetic Disorders Identified
Sharing of genetic data empowers discovery of new disorders in children.
Biomarker Predicting Transplant Complications May be Key to Treating Them
A protein that can be used to predict if a stem cell transplant patient will suffer severe complications may also be the key to preventing those complications, an international research team based at the Indiana University School of Medicine reported Wednesday.
Chromosomal Chaos
Penn study forms basis for future precision medicine approaches for Sezary syndrome
Shaking Up the Foundations of Epigenetics
Researchers at the Centre for Genomic Regulation (CRG) and the University of Barcelona (UB) published a study that challenges some of the current beliefs about epigenetics.
Cell's Waste Disposal System Regulates Body Clock Proteins
New way to identify interacting proteins could identify potential drug targets.
Compound Doubles Up On Cancer Detection
Researchers have found that tagging a pair of markers found almost exclusively on a common brain cancer yields a cancer signal that is both more obvious and more specific to cancer.
Lung Repair and Regeneration Gene Discovered
New role for hedgehog gene offers better understanding of lung disease.
Mixed Up Cell Transportation Key Piece of ALS and Dementia Puzzle
Researchers from the University of Toronto are one step closer to solving this incredibly complex puzzle, offering hope for treatment.
Five New Genetic Variants Linked to Brain Cancer Identified
The biggest ever study of DNA from people with glioma – the most common form of brain cancer – has discovered five new genetic variants associated with the disease.
Predictive Model for Breast Cancer Progression
Biomedical engineers have demonstrated a proof-of-principle technique that could give women and their oncologists more personalized information to help them choose options for treating breast cancer.
Skyscraper Banner

Skyscraper Banner
Go to LabTube
Go to eposters
Access to the latest scientific news
Exclusive articles
Upload and share your posters on ePosters
Latest presentations and webinars
View a library of 1,800+ scientific and medical posters
2,700+ scientific and medical posters
A library of 2,500+ scientific videos on LabTube
3,800+ scientific videos