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
- Blood Test Predicts Crohn’s Disease Years Before Symptoms Appear
- DNA Testing of Colorectal Polyps Improves Insight into Hereditary Risks
- CRISPR Discovery Paves Way for Single Diagnostic Test for COVID, Flu and RSV
- Blood-Based Colorectal Cancer Test Demonstrates High Sensitivity
- Genetic Testing Identifies CHIP Patients at Increased Heart Disease Risk After Cancer Treatment
- Advances in Liquid Biopsies Improve Detection of Lung Cancer Mutations
- Blood Test Reveals Multimorbidity Risk in Older Adults
- AI Tools Detect Early-Stage Cancer Using Simple Blood Test
- Sepsis Test Demonstrates Strong Performance in Post-Cardiac Surgery Patients
- Next-Gen Automated ELISA System Elevates Laboratory Performance
- Blood Test Combined with MRI Brain Scans Reveals Two Distinct Multiple Sclerosis Types
- At-Home Blood Tests Accurately Detect Key Alzheimer's Biomarkers
- Ultra-Sensitive Blood Biomarkers Enable Population-Scale Insights into Alzheimer’s Pathology
- Blood Test Could Predict Death Risk in World’s Most Common Inherited Heart Disease
- Rapid POC Hepatitis C Test Provides Results Within One Hour
- New Biomarkers Predict Disease Severity in Children with RSV Bronchiolitis
Channels
Clinical Chemistry
view channel
Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
Multiple myeloma is an incurable cancer of the bone marrow, and while many patients now live for more than a decade after diagnosis, a significant proportion relapse much earlier with poor outcomes.... Read more
Compact Raman Imaging System Detects Subtle Tumor Signals
Accurate cancer diagnosis often depends on labor-intensive tissue staining and expert pathological review, which can delay results and limit access to rapid screening. These conventional methods also make... Read moreMolecular Diagnostics
view channel
Blood Test Predicts Crohn’s Disease Years Before Symptoms Appear
Crohn’s disease is a chronic inflammatory disorder of the gastrointestinal tract that causes persistent digestive symptoms, pain, and fatigue, often leading to lifelong treatment. Incidence rates are rising... Read more
DNA Testing of Colorectal Polyps Improves Insight into Hereditary Risks
Colorectal cancer is among the most common cancers in Western countries, and hereditary factors are involved in about 5–10% of cases, particularly in younger patients. Individuals with large numbers of... Read moreHematology
view channel
AI Algorithm Effectively Distinguishes Alpha Thalassemia Subtypes
Alpha thalassemia affects millions of people worldwide and is especially common in regions such as Southeast Asia, where carrier rates can reach extremely high levels. While the condition can have significant... Read more
MRD Tests Could Predict Survival in Leukemia Patients
Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read moreImmunology
view channel
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channel
New Test Measures How Effectively Antibiotics Kill Bacteria
Antibiotics are typically evaluated by how well they inhibit bacterial growth in laboratory tests, but growth inhibition does not always mean the bacteria are actually killed. Some pathogens can survive... Read more
New Antimicrobial Stewardship Standards for TB Care to Optimize Diagnostics
Antibiotic resistance is rising worldwide, threatening the effectiveness of treatments for major infectious diseases, including tuberculosis (TB). Resistance to key TB drugs, such as bedaquiline, is of... Read moreTechnology
view channel
AI-Generated Sensors Open New Paths for Early Cancer Detection
Cancers are far easier to treat when detected early, yet many tumors remain invisible until they are advanced or have recurred after surgery. Early-stage disease often produces signals that are too weak... Read more
Pioneering Blood Test Detects Lung Cancer Using Infrared Imaging
Detecting cancer early and tracking how it responds to treatment remains a major challenge, particularly when cancer cells are present in extremely low numbers in the bloodstream. Circulating tumor cells... Read moreIndustry
view channel
WHX Labs Dubai to Gather Global Experts in Antimicrobial Resistance at Inaugural AMR Leaders’ Summit
World Health Expo (WHX) Labs in Dubai (formerly Medlab Middle East), which will be held at Dubai World Trade Centre from 10-13 February, will address the growing global threat of antimicrobial resistance... Read more







