We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Kidney Transplant Patients Identified at High Risk of Rejection

By LabMedica International staff writers
Posted on 18 Nov 2014
A quantitative real-time PCR (qPCR)-based assay can identify kidney transplant patients who are at high risk of acute rejection.

Minnie Sarwal at the University of California (San Francisco, CA, USA) and colleagues examined gene expression data from more than 430 renal transplant patients and developed a 17-gene set that could distinguish patients at high risk of rejection. They also developed an algorithm to classify patients into high- or low-risk categories using a numerical risk score.

Called kSORT for Kidney Solid Organ Response Test, the assay has the potential to become a simple, robust, and clinically applicable blood test, the scientists stated in their November 2014 PLOS Medicine paper.

In the US, there are some 17,000 kidney transplants a year, according to the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), and the researchers noted that acute rejection occurs in some 15%–20% of patients even with immunosuppressive therapy. Currently, clinicians monitor creatinine levels as a marker for rejection, followed by a biopsy to confirm rejection. The new assay has a less invasive approach, and can identify rejection events early on.

A further seven genes were added to optimize the panel for both an adult and pediatric population. The 17 genes could predict 39 of 47 AR samples correctly as AR and 87 of 96 non-AR samples as non-AR, a sensitivity of nearly 83% and a specificity of just over 90%.

To develop the test, 558 blood samples from 436 adult and pediatric renal transplant patients in the US, Mexico, and Spain were collected. Using a set of 143 adult samples, the researchers found 31 genes that were differentially expressed between adult acute rejection (AR) and non-AR patients, as determined through kidney biopsies. A subset of 15 genes was able to classify nearly 92% of the AR and non-AR adult samples, but not in pediatric cases.

Related Links:

University of California


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
New
Neurofilament Light Chain Assay
Lumipulse G NfL Blood
Gold Member
Aspiration System
VACUSAFE

Channels

Molecular Diagnostics

view channel
Image: Dr. Maria “Ken” Figueroa is investigating how epigenetics can inform treatment paths for cancer patients. (Image Credit: Sylvester Comprehensive Cancer Center)

DNA Methylation May Predict Treatment Response in Myelodysplastic Syndromes

Myelodysplastic syndromes (MDS) are disorders in which the bone marrow does not produce healthy blood cells normally. Treatment selection can be challenging because clinicians cannot reliably predict which... Read more

Hematology

view channel
Image: These new ANC reference ranges can help clinicians more accurately interpret neutrophil counts, reduce unnecessary testing and treatment interruptions, and help support more equitable care. (Photo courtesy of the American Society of Hematology)

New Reference Ranges Clarify Normal Neutrophil Counts in Duffy-Null Patients

Duffy-null status is a common genetic trait associated with naturally lower circulating white blood cell counts. It affects about 10% of the U.S. population and more than 66% of people with African or... Read more

Immunology

view channel
Image: Melioidosis is a serious, sometimes fatal infection caused by Burkholderia pseudomallei, a bacterium found in tropical and subtropical soil and surface water. (Image Credit: Adobe Stock)

Antibody Testing Informs Melioidosis Diagnosis and Surveillance in Emerging Regions

Melioidosis is a serious and sometimes fatal infection caused by the soil- and water-dwelling bacterium Burkholderia pseudomallei. People and animals can contract the disease through exposure to contaminated... Read more

Pathology

view channel
AI: Artificial intelligence; CNN: Convolutional neural networks; ResNet: Residual neural network. (Xing-hua Gao from The First Hospital of China Medical University, China Image Source Link: https://www.ovid.com/jnls/cmj/fulltext/10.1097/cm9.0000000000004154~deep-learning-based-computational-pathology-technologies)

Review Highlights Progress and Validation Needs for AI in Digital Pathology

Pathology remains the gold standard for disease diagnosis, but clinical laboratories face growing demands for faster, more reproducible diagnostic and prognostic workflows. Digital pathology based on whole-slide... Read more

Industry

view channel
Image: Siemens Healthineers has begun carving out its in vitro diagnostics business as a standalone company named Olyrian Diagnostics (Photo courtesy of Siemens Healthineers)

Siemens Healthineers Begins Transition Toward Standalone Olyrian Diagnostics Business

Siemens Healthineers has begun carving out its in vitro diagnostics business, which will operate as Olyrian Diagnostics. The new name will be introduced in stages as the business prepares to become a standalone... Read more