(Press-News.org) Although autism is a common neurodevelopmental disorder, the multiple factors behind its onset are still not fully understood. Animal models of idiopathic autism*1, especially mice, are often used to help researchers understand the complicated mechanisms behind the disorder, with BTBR/J being the most commonly used mouse model in the world.
Now, an international research collaboration including Kobe University’s Professor TAKUMI Toru and Researcher Chia-wen Lin et al. have made new discoveries regarding autism onset in mouse models.
In their detailed series of experiments and analyses of BTBR/J mice and the other subspecies BTBR/R, they revealed that endogenous retrovirus*2 activation increases a fetus’s susceptibility to autism. They also discovered that BTBR/R exhibits autistic-like behaviors without reduced learning ability, making it a more accurate model of autism than the widely-used BTBR/J model.
It is hoped that further research will contribute towards better classification of autism types, as well as the creation of new treatment strategies for neurodevelopmental disorders*3.
These research results were published in Molecular Psychiatry on March 7, 2023
Main Points
The researchers analyzed BTBR/J*4, a widely used mouse model of autism, and its subspecies BTBR/R*5 using MRI*6. This revealed that the corpus callosum*7, which connects the left and right hemispheres of the brain, was impaired in BTBR/J mice but not in BTBR/R mice.
Genome and transcription analysis showed that BTBR mice have increased levels of endogenous retrovirus genes.
Furthermore, single-cell RNA analysis*8 of BTBR/R mice revealed changes in the expression of various genes (including stress response genes) that are indicative of endogenous retrovirus activation.
Even though BTBR/J and BTBR/R mice have the same ancestry, the results of various behavioral analysis experiments revealed differences in spatial learning ability and other behaviors between the two types of model mice.
Research Background
Autism (autism spectrum disorder) is a neurodevelopmental disorder that remains largely unexplored despite the rapidly increasing number of patients. Reasons for this continuing increase in people diagnosed with autism include changes to diagnostic criteria and older fathers becoming more common. Autism is strongly related to genetic factors and can be caused by abnormalities in DNA structure, such as copy number variations*9. Animal models, especially mice, are often used in research to illuminate the pathology of autism. Among these models, BTBR/J is a mouse model of the natural onset of autism that is commonly used. Studies have reported various abnormalities in BTBR/J mice including impairment of the corpus callosum (which connects the left and right hemispheres of the brain) and excessive immune system signalling. However, it is not fully understood why this particular lineage displays autistic-like behavioral abnormalities.
The aim of the current study was to shed light on the onset mechanism of these autistic-like behavioral abnormalities by conducting comparative analysis on BTBR/J and its subspecies BTBR/R.
Research Findings
First of all, the researchers conducted MRI scans on BTBR/J and BTBR/R mice to investigate structural differences in each region of the brain. The results revealed that there were differences between BTBR/J and BTBR/R mice in 33 regions including the amygdala. A particularly prominent difference discovered was that even though BTBR/J’s corpus callosum is impaired, BTBR/R’s is normal (Figure 1).
Next, the research group used the array CGH method*10 to compare BTBR/R’s copy number variations with that of a normal mouse model (B6). They revealed that BTBR/R mice had significantly increased levels of endogenous retroviruses (ERV) in comparison to B6 mice (Figure 2 a-c). Furthermore, qRT-PCR tests revealed that these retroviruses were activated in BTBR/R mice (as shown in Figure 2d). On the other hand, in B6 mice there was no change in the expression of LINE ERV (which is classified in the same repetitive sequence), indicating that this retroviral activation is specific to BTBR (Figure 2e).
Subsequently, the researchers carried out single-cell RNA analysis on the tissue of embryonic BTBR mice (on the AGM*11 and yolk sac*12). The results provide evidence of ERV activation in BTBR mice, as expression changes were observed in a group of genes downstream of ERV (Figure 3).
Lastly, the researchers comprehensively investigated the differences between BTBR/J and BTBR/R on a behavioral level. BTBR/R mice were less anxious than BTBR/J and showed qualitative changes in ultrasound vocalizations, which are measured as a way to assess communicative ability in mice (Figure 4a-f). BTBR/R mice also exhibited more self-grooming behaviors and buried more marbles in the marble burying test (Figure 4g, h). These two tests were designed to detect repetitive behavioral abnormalities in autistic individuals. From the results, it was clear that BTBR/R exhibits more repetitive behaviors (i.e. it is more symptomatic) than BTBR/J. The 3-chamber social interaction test*13, which measures how closely a mouse will approach another mouse, also revealed more pronounced social deficits in BTBR/R than BTBR/J mice (Figure 4i). In addition, a Barnes maze was used to conduct a spatial learning test, in which BTBR/J mice exhibited reduced learning ability compared to B6 (normal mice). BTBR/R mice, on the other hand, exhibited similar ability to B6 (Figure 4j).
Overall, the study revealed that retrovirus activation causes the copy number variants in BTBR mice to increase, which leads to the differences in behavior and brain structure seen in BTBR/J and BTBR/R mice (Figure 5).
Further Developments
BTBR/J mice are widely used by researchers as a mouse model of autism. However, the results of this study highlight the usefulness of the other lineage of BTBR/R mice because they exhibit autistic-like behavior without compromised spatial learning ability. The results also suggest that it may be possible to develop new treatments for autism that suppress ERV activation. Furthermore, it is necessary to classify autism subtypes according to their onset mechanism, which is a vital first step towards opening up new avenues of treatment for autism.
Glossary
1. Idiopathic autism: Autism is considered to be a multifactorial disorder that can be caused by genetic and environmental factors. It is understood that genetic factors such as genetic and genomic abnormalities can cause autism, however, there are still many cases of autism where the cause is unknown. Autism where the cause cannot be specified (including environmental factors) is called idiopathic autism.
2. Endogenous retrovirus: A general term for an RNA virus with a reverse transcription. Most of these viruses are ancient and inactive and have been passed down through species over generations. About 8% of the human genome consists of these retroviruses.
3. Neurodevelopmental disorder: Previously called developmental disorder, this is a disorder that occurs in relation to a functional problem with the brain.
4. BTBR/J: A type of congenic mouse. Systemic behavior analyses of the BTBR line of mice have shown that it is the line that most closely resembles autistic behavior. Therefore, it is known as the idiopathic autism mouse model. This line is maintained and preserved by Jackson Laboratory (USA) and is widely used in autism research.
5. BTBR/R: This line of autism model mice has the same origin as BTBR/J. It was deposited at Riken Bioresource Research Center (Japan) in 1987 and has been maintained and preserved by the center ever since.
6. MRI: Magnetic Resonance Imaging. A non-invasive method that uses magnetic fields and radio waves to generate various cross-sectional images of the brain and other organs.
7. Corpus callosum: A bundle of commissural fibers. Commissural fibers connect the left and right hemispheres of the brain.
8. Single-cell RNA-seq: A method of comprehensively investigating the qualitative and quantitative aspects of all mRNA present in individual cells using a next generation sequencer. By combining this with statistical analysis methods such as dimension reduction, it is possible to classify cells based on their genetic expression and estimate the cell state. Furthermore, performing pseudo-temporal ordering analysis based on changes in the gene expression profile makes it possible to depict fibers in the cellular state that accompanies development.
9. Copy number variation: A copy number variation (polymorphism) is a phenomenon in which there is either less than one copy (deletion) or more than three copies (duplication) of genomic DNA that spans more than 1 kilobase (kb) on a chromosome. Normally there should be 2 copies. If there are 3 copies or just one copy, then this is a copy number variation. Copy number variations are found in 12% of the human genome. Copy number variations can exist in healthy, normal genomes but they can also cause genomic disease.
10. Array CGH method: This method can detect genome abnormalities including genomic DNA amplification and defects on a high resolution scale that encompasses all the chromosomes.
11. AGM: The Aorta-gonad-mesonephros (AGM) region is a hematopoietic site within the fetus (i.e. where cellular components of the fetus’s blood are formed).
12. Yolk sac (YS): The yolk sac performs many critical functions that enable a fetus to develop, for example, it is involved in blood cell production (primary hematopoiesis).
13. 3-chamber social interaction test: An experiment designed to evaluate a mouse’s sociability. Normally, mice are strongly interested in other mice. Therefore, they spend more time in the chamber where there is another mouse than in the chamber that is empty.
Acknowledgements
The study was supported by funding from organizations including the following:
Grants-in-Aid for Scientific Research (A) from the Japan Society for the Promotion of Science.
The Japan Agency for Medical Research and Development’s ‘Strategic Research Program for Brain Sciences (SRPBS)’ (Psychiatric & Neurological Disorders)
Takeda Science Foundation
Journal Information
Title:
“An old model with new insights: endogenous retroviruses drive the evolvement toward ASD susceptibility and hijack transcription machinery during development”
DOI: 10.1038/s41380-023-01999-z
Authors:
Chia-Wen Lin1,2,3, Jacob Ellegood4, Kota Tamada1,3, Ikuo Miura5, Mikiko Konda6, Kozue Takeshita6, Koji Atarashi6,7, Jason P Lerch4,8, Shigeharu Wakana5, Thomas J. McHugh2 and Toru Takumi1,3,9*
1 Laboratory for Mental Biology, RIKEN Brain Science Institute; Wako, Saitama 351-0198, Japan.
2 Laboratory for Circuit and Behavioral Physiology, RIKEN Center for Brain Science; Wako, Saitama 351-0198, Japan.
3 Department of Physiology and Cell Biology, Kobe University School of Medicine, Chuo, Kobe 650-0017, Japan.
4 Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario M5T 3H7, Canada.
5 Technology and Development Team for Mouse Phenotype Analysis, Japan Mouse Clinic, RIKEN BioResource Research Center, Tsukuba, Ibaraki 305-0074, Japan
6 Department of Microbiology and Immunology, Keio University School of Medicine; Shinjuku, Tokyo 160-8582, Japan
7 RIKEN Center for Integrative Medical Sciences, Tsurumi, Yokohama 230-0045, Japan.
8 Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, Oxfordshire OX39DU, UK
9 RIKEN Center for Biosystems Dynamics Research, Chuo, Kobe 650-0047, Japan.
*Corresponding author
Journal:
Molecular Psychiatry
END
Ancient virus genome drives autism?
2023-03-10
ELSE PRESS RELEASES FROM THIS DATE:
If you think you understand how incentives work, think again
2023-03-09
How can people be incentivized to drive more fuel-efficient cars, be more innovative at work, and get to the gym on a regular basis? Uri Gneezy, professor of economics and strategy at the Rady School of Management at UC San Diego explains this in his new book “Mixed Signals: How Incentives Really Work.”
In the book, Gneezy, a pioneering behavioral economist, reveals how we can create reward systems that minimize unintended consequences and maximize happiness, health, wealth and success. “Mixed Signals” was recently included in Adam Grant’s ...
The world’s atmospheric rivers now have an intensity ranking like hurricanes
2023-03-09
American Geophysical Union
9 March 2023
AGU Release No. 23-10
For Immediate Release
This press release and accompanying multimedia are available online at: https://news.agu.org/press-release/the-worlds-atmospheric-rivers-now-have-an-intensity-ranking-like-hurricanes/
AGU press contact:
Rebecca Dzombak, +1 (202) 777-7492, news@agu.org (UTC-5 hours)
Contact information for the researchers:
Bin Guan, University of California Los Angeles and California Institute of Technology, bin.guan@jpl.nasa.gov (UTC-8 hours)
WASHINGTON — Atmospheric rivers, which are long, narrow bands of water vapor, are becoming more intense and frequent with climate ...
Complex learned social behavior discovered in bee’s ‘waggle dance’
2023-03-09
Passing down shared knowledge from one generation to the next is a hallmark of culture and allows animals to rapidly adapt to a changing environment.
While widely evident in species ranging from human infants to naked mole rats or fledgling songbirds, early social learning has now been documented in insects.
Publishing in the journal Science, a University of California San Diego researcher and his colleagues uncovered evidence that social learning is fundamental for honey bees. Professor James Nieh of the School of Biological Sciences and his collaborators discovered that the “waggle dance,” which signals the location ...
Social signal learning enhances a honey bee’s waggle dance performance
2023-03-09
Social learning plays an important role in a honey bee’s ability to “waggle dance,” report researchers, who observed that honey bees not exposed to the dances of older, more experienced nestmates produced disordered dances full of errors. The findings demonstrate that social learning shapes this complex form of insect communication, just as it does in humans, birds, and other social vertebrate species. The waggle dance is a behavior that honey bee foragers use to communicate spatial information about the precise location of a food source to other nestmates. ...
Island dwarfs and giants are disproportionality prone to human-mediated extinctions
2023-03-09
Island dwarfs and giants are more susceptible to extinction than other species, particularly following the arrival of humans to their insular homes, according to a new analysis of island species over millions of years. The findings highlight the vulnerability of some of Earth’s most unique species and could be used to inform conservation strategies to preserve them. Although they cover less than 7% of the planet’s surface, islands are hotspots of biodiversity. Due to their isolation, islands often contain species ...
Presenting a synapse-by-synapse map of an insect’s brain
2023-03-09
Researchers have presented the connectome – or synaptic wiring diagram – of an entire Drosophila larva brain. This first-ever insect whole-brain connectome is larger and more complex than previously reported connectomes and represents a valuable resource for future experimental and theoretical studies of neural circuits and brain function. The brain comprises complex networks of interconnected neurons that communicate through synapses. Understanding the brain’s network architecture is critical to understanding brain function. However, due to technological constraints, imaging entire brains with electron microscopy (EM) and reconstructing ...
The “MIDAS” platform detects protein-metabolite interactions
2023-03-09
To help improve the discovery and characterization of elusive interactions between proteins and metabolites, researchers present MIDAS (Mass spectrometry Integrated with equilibrium Dialysis for the discovery of Allostery Systematically). According to the authors, MIDAS represents a powerful new tool to “identify, understand, and exploit previously unknown modes of metabolic regulation across the protein-metabolite interactome.” The interactions between proteins and small-molecule metabolites are among the most common and fundamental types of biological interaction and play vital ...
Insular dwarfs and giants more likely to go extinct
2023-03-09
Leipzig/Halle. Islands are “laboratories of evolution” and home to animal species with many unique features, including dwarfs that evolved to very small sizes compared to their mainland relatives, and giants that evolved to large sizes. A team of researchers from the German Centre of Integrative Biodiversity Research (iDiv) and Martin Luther University Halle-Wittenberg (MLU) has now found that species that evolved to more extreme body sizes compared to their mainland relatives have a higher risk of extinction than those that evolved to less extreme sizes. Their study, which was published in Science, also shows that extinction rates of mammals ...
Honey bees use social learning to improve waggle dancing
2023-03-09
In a study published in Science, researchers from the Xishuangbanna Tropical Botanical Garden (XTBG) of the Chinese Academy of Sciences and the University of California San Diego have shown that honey bees use social signal learning to improve their ability to waggle dance.
Social learning shapes honey bee signaling, as it does communication in human infants, birds, and several other vertebrate species, according to the researchers.
Social learning occurs when one individual learns by observing or interacting with another. Eusocial insects (i.e., insects with an advanced level of social ...
Scientists call for global push to eliminate space junk
2023-03-09
Scientists have called for a legally-binding treaty to ensure Earth’s orbit isn’t irreparably harmed by the future expansion of the global space industry.
In the week that nearly 200 countries agreed to a treaty to protect the High Seas after a 20-year process, the experts believe society needs to take the lessons learned from one part of our planet to another.
The number of satellites in orbit is expected to increase from 9,000 today to over 60,000 by 2030, with estimates suggesting there ...