Baby Teeth Reveal Association Between Autism and Metals
|
By LabMedica International staff writers Posted on 12 Jun 2017 |

Image: An overview of tooth-matrix biomarkers applied in this study (Photo courtesy of Arora M et al / Nature Communications).
Analyzing fetal and postnatal teeth, researchers have found that levels of specific metal nutrients and toxins during pregnancy and early childhood is correlated with risk of developing autism spectrum disorders (ASD). Both amount and timing of abnormal levels can affect risk and diagnosis.
The work was performed collaboratively by researchers from the Icahn School of Medicine at Mount Sinai Health Center (New York, NY, USA) and the Karolinska Institute (Solna, Sweden). The principal investigator at Karolinska Institute, Prof. Sven Bölte, PhD, leads the related Roots of Autism and ADHD Twin Study Sweden (RATSS).
Their study revealed that differences in uptake of multiple toxic and essential elements over the second and third trimesters and early postnatal periods are associated with the risk of developing ASD. The critical developmental windows for the observed discrepancies varied for each element, suggesting that systemic dysregulation of environmental pollutants and dietary elements may serve an important role. They also pinpointed developmental time periods when elemental dysregulation poses the biggest risk for autism later in life.
“We found significant divergences in metal uptake between ASD-affected children and their healthy siblings, but only during discrete developmental periods,” said Manish Arora, PhD, BDS, MPH, director of Exposure Biology at Mount Sinai, “Specifically, the siblings with ASD had higher uptake of the neurotoxin lead, and reduced uptake of the essential elements manganese and zinc, during late pregnancy and the first few months after birth, as evidenced through analysis of their baby teeth. Furthermore, metal levels at 3 months after birth were shown to be predictive of the severity of ASD 8-10 years later in life.”
The exact causes of ASD are unknown, but both environmental and genetic causes are likely involved. Specific environmental factors and stages of life when such exposures may have the biggest impact are poorly understood. Previous research indicates that fetal and early childhood exposure to toxic metals and deficiencies of nutritional elements are linked with several adverse developmental outcomes, including intellectual disability and language, attention, and behavioral problems.
To help determine effects that the timing, amount, and subsequent absorption of toxins and nutrients have on ASD, the researchers used validated tooth-matrix biomarkers to analyze baby teeth collected from pairs of identical and non-identical twins, of which at least one had a diagnosis of ASD. They also analyzed teeth from pairs of normally developing twins that served as the study control group.
During fetal and childhood development, a new tooth layer is formed every week or so, leaving an “imprint” of the micro chemical composition from each unique layer, which provides a chronological record of exposure. The team used lasers to reconstruct these past exposures along incremental markings, similar to using growth rings on a tree to determine the tree’s growth history.
“Our data shows a potential pathway for interplay between genes and the environment,” said Abraham Reichenberg, PhD, professor at Mount Sinai, “Our findings underscore the importance of a collaborative effort between geneticists and environmental researchers for future investigations into the relationship between metal exposure and ASD to help us uncover the root causes of autism, and support the development of effective interventions and therapies.”
Additional studies are needed to determine whether the discrepancies are due to differences in how much a fetus or child is exposed or because of a genetic difference in how a child takes in, processes, and/or breaks down these metals and nutrients.
The Seaver Center for Autism Research and Treatment at Mount Sinai is recruiting twins or siblings for further study. For information about participating, email theseavercenter@mssm.edu.
The study, by Arora M et al, was published June 1, 2017, in the journal Nature Communications.
Related Links:
Mount Sinai Health Center
Karolinska Institute
The work was performed collaboratively by researchers from the Icahn School of Medicine at Mount Sinai Health Center (New York, NY, USA) and the Karolinska Institute (Solna, Sweden). The principal investigator at Karolinska Institute, Prof. Sven Bölte, PhD, leads the related Roots of Autism and ADHD Twin Study Sweden (RATSS).
Their study revealed that differences in uptake of multiple toxic and essential elements over the second and third trimesters and early postnatal periods are associated with the risk of developing ASD. The critical developmental windows for the observed discrepancies varied for each element, suggesting that systemic dysregulation of environmental pollutants and dietary elements may serve an important role. They also pinpointed developmental time periods when elemental dysregulation poses the biggest risk for autism later in life.
“We found significant divergences in metal uptake between ASD-affected children and their healthy siblings, but only during discrete developmental periods,” said Manish Arora, PhD, BDS, MPH, director of Exposure Biology at Mount Sinai, “Specifically, the siblings with ASD had higher uptake of the neurotoxin lead, and reduced uptake of the essential elements manganese and zinc, during late pregnancy and the first few months after birth, as evidenced through analysis of their baby teeth. Furthermore, metal levels at 3 months after birth were shown to be predictive of the severity of ASD 8-10 years later in life.”
The exact causes of ASD are unknown, but both environmental and genetic causes are likely involved. Specific environmental factors and stages of life when such exposures may have the biggest impact are poorly understood. Previous research indicates that fetal and early childhood exposure to toxic metals and deficiencies of nutritional elements are linked with several adverse developmental outcomes, including intellectual disability and language, attention, and behavioral problems.
To help determine effects that the timing, amount, and subsequent absorption of toxins and nutrients have on ASD, the researchers used validated tooth-matrix biomarkers to analyze baby teeth collected from pairs of identical and non-identical twins, of which at least one had a diagnosis of ASD. They also analyzed teeth from pairs of normally developing twins that served as the study control group.
During fetal and childhood development, a new tooth layer is formed every week or so, leaving an “imprint” of the micro chemical composition from each unique layer, which provides a chronological record of exposure. The team used lasers to reconstruct these past exposures along incremental markings, similar to using growth rings on a tree to determine the tree’s growth history.
“Our data shows a potential pathway for interplay between genes and the environment,” said Abraham Reichenberg, PhD, professor at Mount Sinai, “Our findings underscore the importance of a collaborative effort between geneticists and environmental researchers for future investigations into the relationship between metal exposure and ASD to help us uncover the root causes of autism, and support the development of effective interventions and therapies.”
Additional studies are needed to determine whether the discrepancies are due to differences in how much a fetus or child is exposed or because of a genetic difference in how a child takes in, processes, and/or breaks down these metals and nutrients.
The Seaver Center for Autism Research and Treatment at Mount Sinai is recruiting twins or siblings for further study. For information about participating, email theseavercenter@mssm.edu.
The study, by Arora M et al, was published June 1, 2017, in the journal Nature Communications.
Related Links:
Mount Sinai Health Center
Karolinska Institute
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
Molecular 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 moreMicrobiology
view channel
Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease
Alzheimer’s disease affects approximately 6.7 million people in the United States and nearly 50 million worldwide, yet early cognitive decline remains difficult to characterize. Increasing evidence suggests... Read moreAI-Powered Platform Enables Rapid Detection of Drug-Resistant C. Auris Pathogens
Infections caused by the pathogenic yeast Candida auris pose a significant threat to hospitalized patients, particularly those with weakened immune systems or those who have invasive medical devices.... 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







