Meconium Microbiome Can Help Predict Risk of Developing Allergies
|
By LabMedica International staff writers Posted on 12 May 2021 |

Image: Schematic diagram of a rich meconium metabolome in human infants is associated with early-life gut microbiota composition and reduced allergic sensitization (Photo courtesy of University of British Columbia)
Meconium, which is typically passed within the first day of life, is made up of a variety of materials ingested and excreted during development, ranging from skin cells, amniotic fluid and various molecules known as metabolites.
Microbiota maturation begins in earnest immediately after birth, when pioneering bacteria are introduced into the neonatal gut and form a niche capable of supporting successive colonizers that will comprise the infant microbiota. Maturation of this microbial community continues through the first few years of life and occurs concomitantly with dramatic shifts in host immune function.
A team of scientists from the University of British Columbia (Vancouver, BC, Canada) analyzed meconium samples from 37 healthy control infants and 63 atopy infants enrolled in the CHILD Cohort Study (CHILD), a world-leading birth cohort study in maternal, newborn and child health studies. These samples were analyzed by Metabolon, Inc (Morrisville, NC, USA) for non-targeted metabolic profiling via their mView Global Metabolomics Profiling Platform using Ultrahigh Performance Liquid Chromatography-Tandem Mass Spectroscopy (UPLC-MS/MS).
The scientists discovered that the fewer different types of molecules a baby's meconium contained, the greater the child's risk of developing allergies by one year. They also found that a reduction in certain molecules was associated with changes to key bacterial groups. These bacteria groups play a critical role in the development and maturation of a vast ecosystem of gut microbes, known as the microbiota, which is a powerful player in health and disease. Using a machine-learning algorithm, the scientists combined meconium, microbe and clinical data to predict with a high degree of accuracy (76%), and more reliably than ever before, whether or not an infant would develop allergies by one year of age.
Stuart E. Turvey, MBBS, DPhil, FRCPC, a Professor of Pediatrics and the senior author of the study, said, “We know that children with allergies are at the highest risk of also developing asthma. Now we have an opportunity to identify at-risk infants who could benefit from early interventions before they even begin to show signs and symptoms of allergies or asthma later in life.” The study was published on April 29, 2021 in the journal Cell Reports Medicine.
Related Links:
University of British Columbia
Metabolon, Inc
Microbiota maturation begins in earnest immediately after birth, when pioneering bacteria are introduced into the neonatal gut and form a niche capable of supporting successive colonizers that will comprise the infant microbiota. Maturation of this microbial community continues through the first few years of life and occurs concomitantly with dramatic shifts in host immune function.
A team of scientists from the University of British Columbia (Vancouver, BC, Canada) analyzed meconium samples from 37 healthy control infants and 63 atopy infants enrolled in the CHILD Cohort Study (CHILD), a world-leading birth cohort study in maternal, newborn and child health studies. These samples were analyzed by Metabolon, Inc (Morrisville, NC, USA) for non-targeted metabolic profiling via their mView Global Metabolomics Profiling Platform using Ultrahigh Performance Liquid Chromatography-Tandem Mass Spectroscopy (UPLC-MS/MS).
The scientists discovered that the fewer different types of molecules a baby's meconium contained, the greater the child's risk of developing allergies by one year. They also found that a reduction in certain molecules was associated with changes to key bacterial groups. These bacteria groups play a critical role in the development and maturation of a vast ecosystem of gut microbes, known as the microbiota, which is a powerful player in health and disease. Using a machine-learning algorithm, the scientists combined meconium, microbe and clinical data to predict with a high degree of accuracy (76%), and more reliably than ever before, whether or not an infant would develop allergies by one year of age.
Stuart E. Turvey, MBBS, DPhil, FRCPC, a Professor of Pediatrics and the senior author of the study, said, “We know that children with allergies are at the highest risk of also developing asthma. Now we have an opportunity to identify at-risk infants who could benefit from early interventions before they even begin to show signs and symptoms of allergies or asthma later in life.” The study was published on April 29, 2021 in the journal Cell Reports Medicine.
Related Links:
University of British Columbia
Metabolon, Inc
Latest Clinical Chem. News
- New PSA-Based Prognostic Model Improves Prostate Cancer Risk Assessment
- Extracellular Vesicles Linked to Heart Failure Risk in CKD Patients
- Study Compares Analytical Performance of Quantitative Hepatitis B Surface Antigen Assays
- Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
- Compact Raman Imaging System Detects Subtle Tumor Signals
- Noninvasive Blood-Glucose Monitoring to Replace Finger Pricks for Diabetics
- POC Breath Diagnostic System to Detect Pneumonia-Causing Pathogens
- Online Tool Detects Drug Exposure Directly from Patient Samples
- Chemical Imaging Probe Could Track and Treat Prostate Cancer
- Mismatch Between Two Common Kidney Function Tests Indicates Serious Health Problems
- VOCs Show Promise for Early Multi-Cancer Detection
- Portable Raman Spectroscopy Offers Cost-Effective Kidney Disease Diagnosis at POC
- Gold Nanoparticles to Improve Accuracy of Ovarian Cancer Diagnosis
- Simultaneous Cell Isolation Technology Improves Cancer Diagnostic Accuracy
- Simple Non-Invasive Hair-Based Test Could Speed ALS Diagnosis
- Paper Strip Saliva Test Detects Elevated Uric Acid Levels Without Blood Draws
Channels
Clinical Chemistry
view channel
New PSA-Based Prognostic Model Improves Prostate Cancer Risk Assessment
Prostate cancer is the second-leading cause of cancer death among American men, and about one in eight will be diagnosed in their lifetime. Screening relies on blood levels of prostate-specific antigen... Read more
Extracellular Vesicles Linked to Heart Failure Risk in CKD Patients
Chronic kidney disease (CKD) affects more than 1 in 7 Americans and is strongly associated with cardiovascular complications, which account for more than half of deaths among people with CKD.... Read moreMolecular Diagnostics
view channel
Diagnostic Device Predicts Treatment Response for Brain Tumors Via Blood Test
Glioblastoma is one of the deadliest forms of brain cancer, largely because doctors have no reliable way to determine whether treatments are working in real time. Assessing therapeutic response currently... Read more
Blood Test Detects Early-Stage Cancers by Measuring Epigenetic Instability
Early-stage cancers are notoriously difficult to detect because molecular changes are subtle and often missed by existing screening tools. Many liquid biopsies rely on measuring absolute DNA methylation... Read more
“Lab-On-A-Disc” Device Paves Way for More Automated Liquid Biopsies
Extracellular vesicles (EVs) are tiny particles released by cells into the bloodstream that carry molecular information about a cell’s condition, including whether it is cancerous. However, EVs are highly... Read more
Blood Test Identifies Inflammatory Breast Cancer Patients at Increased Risk of Brain Metastasis
Brain metastasis is a frequent and devastating complication in patients with inflammatory breast cancer, an aggressive subtype with limited treatment options. Despite its high incidence, the biological... Read moreHematology
view channel
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read more
Fast and Easy Test Could Revolutionize Blood Transfusions
Blood transfusions are a cornerstone of modern medicine, yet red blood cells can deteriorate quietly while sitting in cold storage for weeks. Although blood units have a fixed expiration date, cells from... Read more
Automated Hemostasis System Helps Labs of All Sizes Optimize Workflow
High-volume hemostasis sections must sustain rapid turnaround while managing reruns and reflex testing. Manual tube handling and preanalytical checks can strain staff time and increase opportunities for error.... Read more
High-Sensitivity Blood Test Improves Assessment of Clotting Risk in Heart Disease Patients
Blood clotting is essential for preventing bleeding, but even small imbalances can lead to serious conditions such as thrombosis or dangerous hemorrhage. In cardiovascular disease, clinicians often struggle... Read moreImmunology
view channelBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more
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 morePathology
view channel
Engineered Yeast Cells Enable Rapid Testing of Cancer Immunotherapy
Developing new cancer immunotherapies is a slow, costly, and high-risk process, particularly for CAR T cell treatments that must precisely recognize cancer-specific antigens. Small differences in tumor... Read more
First-Of-Its-Kind Test Identifies Autism Risk at Birth
Autism spectrum disorder is treatable, and extensive research shows that early intervention can significantly improve cognitive, social, and behavioral outcomes. Yet in the United States, the average age... Read moreTechnology
view channel
Robotic Technology Unveiled for Automated Diagnostic Blood Draws
Routine diagnostic blood collection is a high‑volume task that can strain staffing and introduce human‑dependent variability, with downstream implications for sample quality and patient experience.... Read more
ADLM Launches First-of-Its-Kind Data Science Program for Laboratory Medicine Professionals
Clinical laboratories generate billions of test results each year, creating a treasure trove of data with the potential to support more personalized testing, improve operational efficiency, and enhance patient care.... Read moreAptamer Biosensor Technology to Transform Virus Detection
Rapid and reliable virus detection is essential for controlling outbreaks, from seasonal influenza to global pandemics such as COVID-19. Conventional diagnostic methods, including cell culture, antigen... Read more
AI Models Could Predict Pre-Eclampsia and Anemia Earlier Using Routine Blood Tests
Pre-eclampsia and anemia are major contributors to maternal and child mortality worldwide, together accounting for more than half a million deaths each year and leaving millions with long-term health complications.... Read moreIndustry
view channelNew Collaboration Brings Automated Mass Spectrometry to Routine Laboratory Testing
Mass spectrometry is a powerful analytical technique that identifies and quantifies molecules based on their mass and electrical charge. Its high selectivity, sensitivity, and accuracy make it indispensable... Read more
AI-Powered Cervical Cancer Test Set for Major Rollout in Latin America
Noul Co., a Korean company specializing in AI-based blood and cancer diagnostics, announced it will supply its intelligence (AI)-based miLab CER cervical cancer diagnostic solution to Mexico under a multi‑year... Read more
Diasorin and Fisher Scientific Enter into US Distribution Agreement for Molecular POC Platform
Diasorin (Saluggia, Italy) has entered into an exclusive distribution agreement with Fisher Scientific, part of Thermo Fisher Scientific (Waltham, MA, USA), for the LIAISON NES molecular point-of-care... Read more







