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®
Automated Immunoassay Analyzer
SuperFlex™
Gold Member
Neonatal Heel Incision Device
Tenderfoot

Channels

Molecular Diagnostics

view channel
Image Credit: Adobe Stock

AI in Cancer Diagnosis and Molecular Testing Takes Center Stage at AMP 2026

Artificial intelligence (AI) is increasingly being integrated into molecular diagnostics, offering new approaches to interpreting complex genetic information, classifying cancers, and optimizing laboratory testing.... Read more

Immunology

view channel
Image: The panel expands Cepheid’s respiratory testing portfolio on the GeneXpert platform, offering laboratories greater flexibility in selecting tests based on clinical needs. (Photo courtesy of Cepheid)

Multiplex PCR Test Gains CE Marking to Support Respiratory Infection Diagnosis

Acute respiratory infections often present with overlapping symptoms, making it difficult to distinguish between viral and bacterial causes. Seasonal surges of influenza-like illness in Europe further... Read more

Microbiology

view channel
Image: Graphical Abstract (Matthew A Butzler, Jennifer L Reed, Alaina M Olson, et al. Development of a Rapid Automated Point-of-Care Test for Mycobacterium tuberculosis Detection from Tongue Swabs and Sputum Specimens on the DASH® Rapid PCR System, Open Forum Infectious Diseases, 2026; https://doi.org/10.1093/ofid/ofag706)

Rapid Point-of-Care Test Detects Tuberculosis from Tongue Swab and Sputum

Tuberculosis remains a major infectious disease challenge, particularly in regions with limited access to diagnostic testing and treatment. Diagnosis can be time-consuming, and collecting sputum samples... Read more

Pathology

view channel
Image Credit: Adobe Stock

New Training Approach Helps AI Distinguish Neighboring Cells in Tissue

Artificial intelligence (AI) can assist with identifying cells in digital pathology images, but densely packed tissue remains difficult to analyze. Neighboring cells may be merged, counted twice, or missed,... Read more

Industry

view channel
Image: The TOMR trial uses Signatera-guided MRD testing to identify high-risk patients for curative-intent treatment.

Natera and Incyte Collaborate on MRD-Guided Colorectal Cancer Treatment Study

Natera (Austin, TX, USA) has entered into a clinical collaboration with Incyte (Wilmington, DE, USA) for a Phase II study evaluating molecular residual disease (MRD)-guided treatment in colorectal cancer.... Read more