Urine-Based Kidney Transplantation Rejection Risk Assay Launched
|
By LabMedica International staff writers Posted on 30 Mar 2020 |

Image: Schematic diagram of a urine score for noninvasive accurate diagnosis and prediction of kidney transplant rejection study (Photo courtesy of the University of California, San Francisco).
For kidney transplant recipients, prompt and accurate detection of transplant rejection is vital for timely intervention. Unfortunately, the gold standard for diagnosis of rejection is kidney biopsy, an invasive procedure.
To diagnose acute rejection in kidney transplant patients, clinicians usually extract several small transplanted kidney samples every few months post-transplant, in addition to measuring the patient's serum creatinine levels. However, kidney biopsies can be invasive and expensive, while serum creatinine levels are often inaccurate and not sensitive enough to detect transplant rejection.
Scientists from the University of California, San Francisco (San Francisco, CA, USA) and their colleagues collected a total of 601 prospective urine samples from both pediatric and adult renal allograft recipients immediately before a renal allograft biopsy. Each sample was then paired with a renal transplant biopsy and classified into the following diagnoses: stable (170); acute rejection (AR, 103); borderline AR (bAR, 50); and BK virus nephropathy (9). The team also collected additional urine samples from 32 patients with AR before the rejection episode and paired them with biopsies.
The team evaluated a noninvasive, spot urine–based diagnostic assay based on measurements of six urinary DNA, protein, and metabolic biomarkers. The team used the QiSant assay (Nephrosant, San Francisco, CA, USA) that analyzes six biomarkers from 4 mL of urine sample: the amount of cell-free DNA (cfDNA); the fraction of methylated cfDNA; the proteins clusterin and creatinine; the inflammation marker CXCL10; and total protein amount in the urine. The assay uses a proprietary enzyme-linked immunosorbent (ELISA)-based tool, including a 5' biotinylated oligonucleated immunoprobe to target cfDNA fragments, and artificial intelligence to estimate the likelihood of acute kidney rejection. After collecting patient samples, the scientists developed a composite Q score — ranging from 0 to 100 — on all six biomarkers in a training set of 39 AR and 72 stable patients (STA).
In the first validation set, which had 32 AR patients and 71 STA patients, the group found that the score between the patient types had about a 91% clinical sensitivity and a 92% clinical specificity. Meanwhile, in a second validation set of 32 AR patients and 27 STA patients, the team found that the scaled score had 100% sensitivity and 96% specificity. Most patients with samples (159) with scores above the AR threshold had a clinical diagnosis of active AR, early AR, or went on to develop biopsy-confirmed AR up to 200 days after using the QiSant assay.
The authors concluded that they had demonstrated the clinical utility of this assay for predicting AR before a rise in the serum creatinine, enabling earlier detection of rejection than currently possible by standard of care tests. This noninvasive, sensitive, and quantitative approach is a robust and informative method for the rapid and routine monitoring of renal allografts. The study was published on March 18, 2020 in the journal Science Translational Medicine.
Related Links:
University of California, San Francisco
Nephrosant
To diagnose acute rejection in kidney transplant patients, clinicians usually extract several small transplanted kidney samples every few months post-transplant, in addition to measuring the patient's serum creatinine levels. However, kidney biopsies can be invasive and expensive, while serum creatinine levels are often inaccurate and not sensitive enough to detect transplant rejection.
Scientists from the University of California, San Francisco (San Francisco, CA, USA) and their colleagues collected a total of 601 prospective urine samples from both pediatric and adult renal allograft recipients immediately before a renal allograft biopsy. Each sample was then paired with a renal transplant biopsy and classified into the following diagnoses: stable (170); acute rejection (AR, 103); borderline AR (bAR, 50); and BK virus nephropathy (9). The team also collected additional urine samples from 32 patients with AR before the rejection episode and paired them with biopsies.
The team evaluated a noninvasive, spot urine–based diagnostic assay based on measurements of six urinary DNA, protein, and metabolic biomarkers. The team used the QiSant assay (Nephrosant, San Francisco, CA, USA) that analyzes six biomarkers from 4 mL of urine sample: the amount of cell-free DNA (cfDNA); the fraction of methylated cfDNA; the proteins clusterin and creatinine; the inflammation marker CXCL10; and total protein amount in the urine. The assay uses a proprietary enzyme-linked immunosorbent (ELISA)-based tool, including a 5' biotinylated oligonucleated immunoprobe to target cfDNA fragments, and artificial intelligence to estimate the likelihood of acute kidney rejection. After collecting patient samples, the scientists developed a composite Q score — ranging from 0 to 100 — on all six biomarkers in a training set of 39 AR and 72 stable patients (STA).
In the first validation set, which had 32 AR patients and 71 STA patients, the group found that the score between the patient types had about a 91% clinical sensitivity and a 92% clinical specificity. Meanwhile, in a second validation set of 32 AR patients and 27 STA patients, the team found that the scaled score had 100% sensitivity and 96% specificity. Most patients with samples (159) with scores above the AR threshold had a clinical diagnosis of active AR, early AR, or went on to develop biopsy-confirmed AR up to 200 days after using the QiSant assay.
The authors concluded that they had demonstrated the clinical utility of this assay for predicting AR before a rise in the serum creatinine, enabling earlier detection of rejection than currently possible by standard of care tests. This noninvasive, sensitive, and quantitative approach is a robust and informative method for the rapid and routine monitoring of renal allografts. The study was published on March 18, 2020 in the journal Science Translational Medicine.
Related Links:
University of California, San Francisco
Nephrosant
Latest Molecular Diagnostics News
- New Biomarker Panel to Improve Heart Failure Diagnosis in Women
- Dual Blood Biomarkers Improve ALS Diagnostic Accuracy
- Automated Test Distinguishes Dengue from Acute Fever-Causing Illnesses In 18 Minutes
- High-Sensitivity Troponin I Assay Aids in Diagnosis of Myocardial Infarction
- Fast Low-Cost Alzheimer’s Tests Could Detect Disease in Early and Silent Stages
- Further Investigation of FISH-Negative Tests for Renal Cell Carcinoma Improves Diagnostic Accuracy
- First Direct Measurement of Dementia-Linked Proteins to Enable Early Alzheimer’s Detection
- New Diagnostic Method Detects Pneumonia at POC in Low-Resource Settings
- Blood Immune Cell Analysis Detects Parkinson’s Before Symptoms Appear
- New Diagnostic Marker for Ovarian Cancer to Enable Early Disease Detection

- Urine Test Detects Early Stage Pancreatic Cancer
- Genomic Test Could Reduce Lymph Node Biopsy Surgery in Melanoma Patients
- Urine Test Could Replace Painful Kidney Biopsies for Lupus Patients
- Blood Test Guides Post-Surgical Immunotherapy for Muscle-Invasive Bladder Cancer
- Mitochondrial DNA Mutations from Kidney Stressors Could Predict Future Organ Decline
- Blood Test Could Predict Bariatric Surgery Outcomes in Teenagers
Channels
Clinical Chemistry
view channel
VOCs Show Promise for Early Multi-Cancer Detection
Early cancer detection is critical to improving survival rates, but most current screening methods focus on individual cancer types and often involve invasive procedures. This makes it difficult to identify... Read more
Portable Raman Spectroscopy Offers Cost-Effective Kidney Disease Diagnosis at POC
Kidney disease is typically diagnosed through blood or urine tests, often when patients present with symptoms such as blood in urine, shortness of breath, or weight loss. While these tests are common,... Read moreMolecular Diagnostics
view channel
New Biomarker Panel to Improve Heart Failure Diagnosis in Women
Heart failure affects millions worldwide, yet many women are still misdiagnosed or diagnosed too late. Although heart failure broadly means the heart cannot pump enough blood to the body’s cells, its two... Read more
Dual Blood Biomarkers Improve ALS Diagnostic Accuracy
Diagnosing amyotrophic lateral sclerosis (ALS) remains difficult even with advanced imaging and genetic tools, especially when clinicians must distinguish it from other neurodegenerative conditions that... Read moreHematology
view channel
ADLM’s New Coagulation Testing Guidance to Improve Care for Patients on Blood Thinners
Direct oral anticoagulants (DOACs) are one of the most common types of blood thinners. Patients take them to prevent a host of complications that could arise from blood clotting, including stroke, deep... Read more
Viscoelastic Testing Could Improve Treatment of Maternal Hemorrhage
Postpartum hemorrhage, severe bleeding after childbirth, remains one of the leading causes of maternal mortality worldwide, yet many of these deaths are preventable. Standard care can be hindered by delays... Read more
Pioneering Model Measures Radiation Exposure in Blood for Precise Cancer Treatments
Scientists have long focused on protecting organs near tumors during radiotherapy, but blood — a vital, circulating tissue — has largely been excluded from dose calculations. Each blood cell passing through... Read moreImmunology
view channel
Chip Captures Cancer Cells from Blood to Help Select Right Breast Cancer Treatment
Ductal carcinoma in situ (DCIS) accounts for about a quarter of all breast cancer cases and generally carries a good prognosis. This non-invasive form of the disease may or may not become life-threatening.... Read more
Blood-Based Liquid Biopsy Model Analyzes Immunotherapy Effectiveness
Immunotherapy has revolutionized cancer care by harnessing the immune system to fight tumors, yet predicting who will benefit remains a major challenge. Many patients undergo costly and taxing treatment... Read moreMicrobiology
view channel
High-Throughput Enteric Panels Detect Multiple GI Bacterial Infections from Single Stool Swab Sample
Gastrointestinal (GI) infections are among the most common causes of illness worldwide, leading to over 1.7 million deaths annually and placing a heavy burden on healthcare systems. Conventional diagnostic... Read more
Fast Noninvasive Bedside Test Uses Sugar Fingerprint to Detect Fungal Infections
Candida bloodstream infections are a growing global health threat, causing an estimated 6 million cases and 3.8 million deaths annually. Hospitals are particularly vulnerable, as weakened patients after... Read moreTechnology
view channel
Portable Biosensor Diagnoses Psychiatric Disorders Using Saliva Samples
Early diagnosis of psychiatric disorders such as depression, schizophrenia, and bipolar disorder remains one of medicine’s most pressing challenges. Current diagnostic methods rely heavily on clinical... Read more
Cell-Sorting Device Uses Electromagnetic Levitation to Precisely Direct Cell Movement
Sorting different cell types—such as cancerous versus healthy or live versus dead cells—is a critical task in biology and medicine. However, conventional methods often require labeling, chemical exposure,... Read moreIndustry
view channel
Co-Diagnostics Forms New Business Unit to Develop AI-Powered Diagnostics
Co-Diagnostics, Inc. (Salt Lake City, UT, USA) has formed a new artificial intelligence (AI) business unit to integrate the company's existing and planned AI applications into its Co-Dx Primer Ai platform.... Read more







 assay.jpg)
