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
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
Latest Molecular Diagnostics News
- Cancer-Related Mutations in Immune Cells Linked to Alzheimer’s
- Composite Blood Biomarkers Enable Early Detection of Common Cancers
- Machine Learning Model Uses DNA Methylation to Predict Tumor Origin in Cancers of Unknown Primary
- Blood Test Enables Early Detection and Classification of Glioma
- Multi-Biomarker Blood Test Detects Early-Stage Cancers Across Types
- New Sample-to-Answer PCR System Supports High-Throughput Infectious Disease Testing
- Framework Guides Targeted Immunotherapy Selection in Liver Cancer
- Collaboration Brings Rapid At-Home STI Testing with Virtual Follow-Up
- Blood-Based Epigenetic Signals Enable Osteosarcoma Disease Monitoring
- Host–Virus Genetic Interactions Drive Nasopharyngeal Cancer Risk
- AI-Enabled Biochip Detects microRNA Biomarkers in Minutes
- Blood Test Detects Early Pancreatic Cancer in High-Risk Patients
- Long-Read RNA Sequencing Platform Improves Rare Disease Diagnosis
- Study Confirms Barrett’s Esophagus as Precursor to Esophageal Cancer
- Ultrasensitive Assay Reveals Previously Undetected Tuberculosis in Hospital Patients
- CE-Marked Blood Test Enables Monitoring of Neuroinflammation in Multiple Sclerosis
Channels
Clinical Chemistry
view channel
Urine-Based Multi-Cancer Screening Test Receives FDA Breakthrough Device Designation
Early detection across multiple cancers remains a major unmet need in population screening. Non-invasive approaches that can be delivered at scale may broaden access and shift diagnoses to earlier stages.... Read more
Blood Test Predicts Alzheimer Disease Risk Before Imaging Changes and Symptoms
Alzheimer's disease often advances silently for years, making timely risk stratification difficult in routine practice. Current approaches to detect pathology can involve lumbar puncture or positron emission... Read moreMolecular Diagnostics
view channel
Cancer-Related Mutations in Immune Cells Linked to Alzheimer’s
Alzheimer’s disease is marked by protein aggregation and inflammatory changes in the brain’s immune system, yet its molecular drivers remain incompletely understood. With aging, human cells accumulate... Read more
Composite Blood Biomarkers Enable Early Detection of Common Cancers
Early diagnosis of colorectal, lung, and ovarian cancers remains challenging, with many patients identified only after tumors have begun to spread. A scalable blood test could expand access to screening,... Read more
Machine Learning Model Uses DNA Methylation to Predict Tumor Origin in Cancers of Unknown Primary
Cancers of unknown primary (CUP) are metastatic malignancies in which the primary site cannot be identified, complicating treatment selection. Many patients consequently receive broad, nonspecific chemotherapy... Read moreHematology
view channel
Single Assay Enables Rapid HLA and ABO Genotyping for Transplant Matching
CareDx (Brisbane, CA, USA) has introduced AlloSeq Nano, a nanopore‑based HLA (human leukocyte antigen) and ABO genotyping solution unveiled at the European Federation for Immunogenetics (EFI) Conference 2026.... Read more
Prognostic Biomarker Identified in Diffuse Large B-Cell Lymphoma
Diffuse large B-cell lymphoma (DLBCL) is the most common form of non-Hodgkin lymphoma and often presents with aggressive clinical behavior. Although many patients respond to standard chemotherapy with... Read moreImmunology
view channel
Immune Aging Clock Quantifies Immunosenescence and Identifies Therapeutic Target
Immune aging undermines host defense and contributes to multiple age-related diseases, yet its heterogeneity complicates measurement and intervention. Clinical laboratories increasingly seek objective... Read more
Study Finds Influenza Often Undiagnosed in Winter Deaths
Seasonal influenza drives substantial excess mortality, yet its contribution is often obscured when infections go undiagnosed near the time of death. Many deaths occur outside hospitals or in older adults... Read moreMicrobiology
view channel
Oral–Gut Microbiome Signatures Identify Early Gastric Cancer
Early detection of gastric cancer could be advanced by scalable screening strategies using minimally invasive sampling. Saliva collection is noninvasive and cost-effective, supporting wider adoption... Read more
Label-Free Microscopy Methodd Enables Faster, Quantitative Detection of Malaria
Microscopy of blood smears remains a cornerstone for malaria diagnosis but can be slow, stain-dependent, and operator intensive. With more than 200 million infections and over 600,000 deaths annually,... Read more
Gut Microbiome Test Predicts Melanoma Recurrence After Surgery
Melanoma remains prone to relapse even after surgery and adjuvant immunotherapy, with 25% to 40% of patients experiencing recurrence. Clinicians lack reliable pre-treatment indicators to identify those... Read more
Rapid Blood-Culture Susceptibility Panel Expands Coverage for Gram-Negative Infections
Gram-negative bloodstream infections and sepsis demand fast, precise antimicrobial therapy, yet conventional susceptibility workflows can delay targeted treatment. Clinical laboratories need platforms... Read morePathology
view channel
Plug-and-Play AI Pathology System Classifies Multiple Cancers from Few Slides
Pathologists are essential for cancer diagnosis and treatment planning, yet a global workforce shortage is straining services. Nearly 20 million new cases are diagnosed each year, and traditional artificial... Read more
AI-Based Assays Support Risk Stratification in Prostate and Breast Cancer
Prostate and breast cancers are among the most commonly diagnosed malignancies worldwide, and heterogeneous disease biology complicates risk stratification and treatment selection. Clinicians increasingly... Read moreIndustry
view channel
QuidelOrtho Adds Ultra-Fast PCR Platform with LEX Acquisition
QuidelOrtho Corporation has completed the acquisition of LEX Diagnostics for approximately USD 100 million in cash. The transaction adds the LEX VELO System to QuidelOrtho’s portfolio. The platform received U.... Read more
Seegene Showcases Real-Time PCR Data Analytics Platform at ESCMID
Seegene introduced STAgora, a real-time data analytics platform built on aggregated statistical testing data, at ESCMID Global 2026 in Munich, where it also presented an enhanced model of its automated... Read more
Roche Affiliate Expands MRD Portfolio with SAGA Acquisition
Foundation Medicine, Inc., an independent affiliate of Roche, announced plans to expand its monitoring portfolio with SAGA Diagnostics’ Pathlight, a personalized, tumor-informed molecular residual disease... Read more







