Childrens’ Urinary MicroRNAs Predict Future Development of Heart or Kidney Diseases
|
By LabMedica International staff writers Posted on 08 Mar 2021 |

Image: Exosomes are 30-150 nanometer extracellular vesicles containing various cargoes such as RNA and proteins (Photo courtesy of Wikimedia Commons)
A panel of microRNAs isolated from the urine of young children was shown to be able to predict the likelihood that a child would develop heart or kidney disease later in life.
MicroRNAs (miRNAs) are short, non-coding RNAs of approximately 20 nucleotides that act as post-transcriptional regulators by modifying target gene expression. Urinary miRNAs are promising biomarkers of subclinical kidney damage or dysfunction because they reflect kidney signaling and histological changes at the molecular level, enabling early detection of chronic kidney disease or progression of acute kidney injury. Urinary miRNAs are also readily obtained and are stable in stored samples.
Exosomes contain the major fraction of miRNA in urine and consequently are an ideal target to probe for molecular biomarkers of kidney diseases. Exosomes are lipid-enclosed extracellular vesicles measuring 30–150 nanometers in diameter that are released by most cells in the body and play an important role in intercellular communication by carrying bioactive molecules (soluble proteins and nucleic acids such as miRNAs) to a target cell. Exosomes in urine are primarily released from renal epithelial cells derived from renal tubular structures and hold promise as one component of a noninvasive liquid biopsy for detecting molecular changes in distinct nephron regions even in the absence of disease. Thus, the study of miRNA expression in exosomes (exo-miR) presents an opportunity in biomarker discovery for blood pressure (BP) regulation and altered renal signaling by identifying new diagnostic biomarkers and therapeutic targets.
In this light, investigators at the Mount Sinai School of Medicine (New York, NY, USA) sought to understand the relationship between urinary exo-miR expression and children's BP and estimated glomerular filtration rate (eGFR) as well as urinary sodium and potassium levels as correlates of heart and kidney health.
For this study, the investigators extracted exo-miRs from urine samples obtained from 88 healthy Mexican children aged four to six years. The study was conducted in Mexico, since children there are considered to be at much higher risk than American children for many heart and kidney problems. Differential centrifugation of spot urines enabled isolation and detection of 193 exo-miRs. Linear regression was then used to analyze the relationship between the extracted exo-miRs and children's BP, eGFR, and urine electrolyte levels.
Results revealed that three exo-miRs had increased expression with urinary sodium, 17 with urinary sodium-to-potassium ratio, and one with decreased estimated glomerular filtration rate.
"Our findings are encouraging for future studies of noninvasive indicators of kidney and heart health, especially for individuals at an increased risk of kidney dysfunction," said senior author Dr. Alison Sanders, assistant professor of environmental medicine, public health, and pediatrics at Mount Sinai School of Medicine. "Further research may discover different combinations of miRNAs that could inform early diagnosis of a wide range of kidney and cardiac diseases. So many children around the world are at risk of developing cardiorenal problems which can impact their health throughout their lives. Assessment of microRNA expression on a targeted scale could present valuable opportunities to detect and intervene with kidney disease before it can progress. That is why we are so encouraged by our team's work in this vital field."
The urinary microRNA study was published in the February 26, 2021, online edition of the journal Epigenomics.
Related Links:
Mount Sinai School of Medicine
MicroRNAs (miRNAs) are short, non-coding RNAs of approximately 20 nucleotides that act as post-transcriptional regulators by modifying target gene expression. Urinary miRNAs are promising biomarkers of subclinical kidney damage or dysfunction because they reflect kidney signaling and histological changes at the molecular level, enabling early detection of chronic kidney disease or progression of acute kidney injury. Urinary miRNAs are also readily obtained and are stable in stored samples.
Exosomes contain the major fraction of miRNA in urine and consequently are an ideal target to probe for molecular biomarkers of kidney diseases. Exosomes are lipid-enclosed extracellular vesicles measuring 30–150 nanometers in diameter that are released by most cells in the body and play an important role in intercellular communication by carrying bioactive molecules (soluble proteins and nucleic acids such as miRNAs) to a target cell. Exosomes in urine are primarily released from renal epithelial cells derived from renal tubular structures and hold promise as one component of a noninvasive liquid biopsy for detecting molecular changes in distinct nephron regions even in the absence of disease. Thus, the study of miRNA expression in exosomes (exo-miR) presents an opportunity in biomarker discovery for blood pressure (BP) regulation and altered renal signaling by identifying new diagnostic biomarkers and therapeutic targets.
In this light, investigators at the Mount Sinai School of Medicine (New York, NY, USA) sought to understand the relationship between urinary exo-miR expression and children's BP and estimated glomerular filtration rate (eGFR) as well as urinary sodium and potassium levels as correlates of heart and kidney health.
For this study, the investigators extracted exo-miRs from urine samples obtained from 88 healthy Mexican children aged four to six years. The study was conducted in Mexico, since children there are considered to be at much higher risk than American children for many heart and kidney problems. Differential centrifugation of spot urines enabled isolation and detection of 193 exo-miRs. Linear regression was then used to analyze the relationship between the extracted exo-miRs and children's BP, eGFR, and urine electrolyte levels.
Results revealed that three exo-miRs had increased expression with urinary sodium, 17 with urinary sodium-to-potassium ratio, and one with decreased estimated glomerular filtration rate.
"Our findings are encouraging for future studies of noninvasive indicators of kidney and heart health, especially for individuals at an increased risk of kidney dysfunction," said senior author Dr. Alison Sanders, assistant professor of environmental medicine, public health, and pediatrics at Mount Sinai School of Medicine. "Further research may discover different combinations of miRNAs that could inform early diagnosis of a wide range of kidney and cardiac diseases. So many children around the world are at risk of developing cardiorenal problems which can impact their health throughout their lives. Assessment of microRNA expression on a targeted scale could present valuable opportunities to detect and intervene with kidney disease before it can progress. That is why we are so encouraged by our team's work in this vital field."
The urinary microRNA study was published in the February 26, 2021, online edition of the journal Epigenomics.
Related Links:
Mount Sinai School of Medicine
Latest Molecular Diagnostics News
- Blood Test for Lung Cancer Screening Receives FDA Breakthrough Device Designation
- Sequencing-Based Newborn Screening Identifies Pediatric Cancer Risk at Birth
- Liquid Biopsy Combines Multiple Signals for Cancer Detection in a Single Analysis
- Newborn Screening Program Adds Spinal Muscular Atrophy Testing Across England
- Blood Test Could Help Fast-Track Lymphoma Diagnosis in Resource-Limited Settings
- Liquid Biopsy Assay Enriches Tumor DNA for Early Detection and Monitoring
- Whole-Cell Genomic Analysis Expands the Potential of Liquid Biopsy
- Point-of-Care Multiplex PCR Test Submitted to FDA for Flu A/B and RSV Detection
- New PCR Assays Expand Cyclospora Testing for Outbreak Surveillance
- Single Liquid Biopsy Predicts Early Immunotherapy Benefit in Advanced Lung Cancer
- Machine Learning Tool Improves Prediction of Liver Cancer Recurrence
- AI-Powered Liquid Biopsy Detects Liver Cancer Across Diverse Populations
- Circular RNAs Enable Noninvasive Cancer Detection and Risk Assessment
- Polygenic Risk Score Test Estimates Inherited Coronary Artery Disease Risk
- AI Tool Improves Long-Read Detection of Cancer Mutations
- FDA Clears Molecular Test for Bacterial Vaginosis and Candida Vaginitis
Channels
Clinical Chemistry
view channel
Blood Metabolite Patterns May Enable Early Detection of Blood-Brain Barrier Injury
Early injury to the blood-brain barrier (BBB) can precede many neurological disorders but remains difficult to detect noninvasively. Laboratory markers that identify barrier dysfunction before symptoms... Read more
Blood Biomarker Study Reveals Population-Specific Differences in Alzheimer’s Disease
Blood-based biomarkers are emerging as tools for detecting Alzheimer’s disease–related changes without relying on advanced brain imaging or cerebrospinal fluid (CSF) analysis. However, much of the foundational... Read moreHematology
view channel
New Genetic Findings Reveal Cause of Bone Marrow Failure Syndrome
Inherited bone marrow failure syndromes (IBMFS) impair the bone marrow’s ability to produce sufficient healthy blood cells and are associated with an increased risk of early-onset myelodysplastic syndromes (MDS).... Read more
Ultra-Portable Device Enables Finger-Prick Blood Testing at Home
Patients who need frequent blood tests often face repeated clinic visits that burden services and disrupt care. In the UK, millions of tests are performed each year to diagnose disease, guide therapy,... Read moreImmunology
view channel
Immune Biomarkers May Predict Recurrent Checkpoint Inhibitor Arthritis
Inflammatory arthritis is a recognized immune-related adverse event in patients treated with immune checkpoint inhibitors (ICIs) for cancer. Between 20% and 50% of affected patients experience more than... Read more
Immune Cell Blood Test May Predict Melanoma Immunotherapy Response
Melanoma remains one of the deadliest skin cancers, although outcomes improve markedly when the disease is detected early. Immunotherapy has extended survival for many patients with advanced melanoma,... Read moreMicrobiology
view channel
Surveillance and Susceptibility Testing Track Rising Candida Auris in U.S.
Drug-resistant fungal infections are straining infection control and treatment in hospitals and long-term care facilities, where rapid transmission can lead to severe outcomes. Candida auris has expanded... Read more
Plasma Cell-Free DNA Test Enables Earlier Diagnosis of Invasive Fungal Infections
Invasive fungal infections disproportionately affect immunocompromised patients, while diagnostic delays can contribute to substantial morbidity and mortality. Existing methods often depend on invasive... Read morePathology
view channel
AI Uses H&E Slides to Predict Key Biomarkers Across 32 Cancers
Molecular profiling is essential for characterizing solid tumors, but many laboratories still rely on separate genetic assays to detect alterations such as TP53 mutations. These workflows can be resource-intensive... Read more
AI Tool Identifies Slide Artifacts to Speed Digital Pathology Diagnosis
Pathology laboratories face growing case volumes, staffing pressures, and increasing diagnostic complexity that can delay results. At the same time, whole-slide images may contain quality defects such... Read more
FDA-Cleared Digital Pathology Platform Expands Interoperability for Primary Diagnosis
Rising cancer incidence is colliding with a shrinking pathologist workforce, intensifying pressure on diagnostic turnaround times in clinical laboratories. Many labs are adopting digital pathology to manage... Read moreTechnology
view channel
Interoperable Data Platform Standardizes Multi-Cancer Blood Test Results
Proteotype Diagnostics has introduced Alchemi, a proprietary data and clinical workflow platform being developed for Enlighten, the company’s investigational blood-based multi-cancer test.... Read more
Training Device Improves Accuracy of Pooled Molecular Diagnostics
High-throughput molecular diagnostics have transformed infectious disease detection, but many workflows remain difficult to execute accurately without extensive training. Sample pooling can cut per‑test... Read more
New CE-Certified Software Advances Whole-Genome Cancer Testing
European hospitals are increasingly using comprehensive tumor genomics to guide therapy, but routine whole genome sequencing (WGS) requires validated, regulation-compliant workflows. A newly CE-certified... Read more
National Rare Disease Registry Standardizes Genetic and Clinical Data for Coordinated Care
Rare diseases collectively impose a significant clinical burden despite their individual rarity, often involving multisystem presentations and prolonged diagnostic journeys. Limited specialist expertise... Read moreIndustry
view channel
Collaboration Supports Global ADC Development with AI-Powered Tissue Analysis
Selecting patients for antibody-drug conjugates (ADCs) increasingly requires broader tissue context, as target expression alone may not fully explain therapeutic response. Laboratories and translational... Read more
Standardized Staining Technology Advances Digital Pathology Workflows
Digital pathology is increasingly used to streamline cancer diagnostics, yet staining variability can hinder slide interpretation and limit the reliability of artificial intelligence tools.... Read more
Global Testing Service Advances Leukemia MRD Monitoring
KMT2A rearrangements drive aggressive subsets of acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) and are associated with relapse and poor outcomes. As menin inhibitors enter clinical... Read more







