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Tuesday, 28 March 2023

Are any autism statistics credible? Most are not.


The best place for many statistics

In 2021 the UK government carried out a census and in that census there were some voluntary questions about sexual orientation. A surprisingly large 92.5% of respondents, aged 16 or over, answered the question on sexual orientation and just 3.2% identified as gay, lesbian, bisexual, or another sexual orientation (LGBT+). 

Even in the gay capital of the UK, a city called Brighton, only 14% identified as L or G. 

2021 census: What do we know about the LGBT+ population?

Go back 40 years and many LGBT people would have undoubtedly lied about their orientation, or just refused to answer the question. In most Western countries this is no longer the case – the pendulum has swung very much in favour of all minorities.

When my elder son was applying for jobs, the first part was always online and one of the first questions he faced is what is your sexual orientation – that is meant to be a sign of progress, apparently.  Having started work he discovered that the real key factor of the selection was, not surprisingly, whether you will fit in and what you like to drink down at the pub. I guess they want meat-eating colleagues who like a drink, or two.  Not a place for teetotal vegetarians.

If you watch CNN, the BBC or read news from a liberal source you might think that 20% were LGBT.  I would have guessed 10%.  In research targeting young people you also get vastly inflated figures, because their views are shaped by social media which rarely reflects reality.

 

Back to Autism

In the current diagnostic framework autism is split into level 1 (least affected), level 2 (moderate) and level 3 (most affected).

In some countries only a small number of very specific people can make a diagnosis, whereas in others a much broader group can hand out a diagnosis. In some countries you can effectively buy the diagnosis you are seeking.

In some countries only kids with an autism diagnosis can get free early intervention. Some doctors are diagnosing autism in a toddler with an intellectual/development delay because they know he is likely to benefit, even though he does not technically qualify.

In Australia having a level 1 diagnosis does not automatically entitle you to any free services and it was recently reported that doctors are changing the diagnosis to increase the child’s entitlements. 


Children are being diagnosed with autism more severely to secure NDIS funding


When I visited our local special school many years ago to meet their piano teacher, I learned that the school had a large Roma population and so some autism parents did not want to send their children there.  I asked why there were so many Roma kids. I was told they do not have autism, they are classified as having MR/ID, which then entitles the parents to financial support.

Many readers of this blog told me that if they improve their child’s cognition they will lose supports, so they keep on using an old IQ test result.  

 

So do I believe this recently published chart from the US?

 



It tells us that in 4 just years the number of kids with autism and MR/ID has doubled to  more than 1%.

It is not credible.

Here is the source:

 

AUTISM AND DEVELOPMENTAL DISABILITIES MONITORING (ADDM) NETWORK


 

Here is a chart showing autism prevalence in specific states in the US in 2020.



California leads the pack.

 

“Only” 22% of kids with ASD in California also had intellectual disability (MR/ID) compared to 48% in Arkansas.

But, that is because kids are twice as likely to get an autism diagnosis if they live in California.  This is because they are diagnosing many minor cases that would not get diagnosed in Arkansas.

 

California:



 

Arkansas:

 


Current incidence of autism

If 4.5% of 8 year old Californians have autism, that likely equates to something like 7% of boys and 2% of girls.

We know that about 20% of school children have some special educational need.  We know that about 4% of Americans will develop bipolar disorder, about 0.5% will develop schizophrenia and approximately 9% of adults in the U.S. have some type of personality disorder.

Let’s assume 10% of Americans are LGBT, well maybe better say Californians, to keep the peace.

We know that many LGBT people experience bullying and exclusion which will give some people symptoms that do indeed overlap with those of mild autism and hence they may choose to identify as autistic, get a diagnosis, join the autism club and make TikTok videos.

 

Future incidence of “autism”

I would predict the published incidence of “autism” in 8 year old Californian boys will reach 20% in the next decade.

Am I worried? Not really. It’s nonsense.

Any increase in genuine, severe, non or limited-verbal autism, with IQ<70 is a problem.  It could and should be addressed, but it will not be.

By the way, this kind of autism does not need the new name “Profound Autism”, that has been proposed by the Lancet Commission.  It already has several names, including Classic Autism and Autistic Disorder.  It just needs medical treatment! Go from level 3 to level 2, maybe passing some Australians going the other direction, seeking more money from NDIS.

  

Statistics in Autism Clinical Trials

All clinical trials involve statisticians, lots of data and hence lots of charts.

Unfortunately, almost all autism clinical trials are flawed from the outset.  There is no singular autism, but rather hundreds of biological variations that produce symptoms that appear to overlap with this fuzzy autism spectrum.  

Lump in all these different types of autism and of very different levels of severity and give all the kids the same therapy.

When a subgroup does respond, ignore it because it is too small; the overall clinical response does not satisfy the goal/endpoint of the trial.  The trial is branded a failure.

In the bumetanide trial as an example, what percentage of parents actually gave the pill every morning to the kids for the duration of the trial?  If the trial was during the school term, there will have been problems with needing to pee on the way to school and for the first 2 hours at school. After complaints from school and accidents in the car, what percentage really gave the pill every day?

As some readers of this blog have proposed, “I’ll just give it at the weekend”.

Combine the behavior of the parents, the school bus driver and the class teacher with the trial using a dose 50% too low, is it a surprise the statistics show that the phase 3 trial failed? Not to me and many others.


Statistics on Treatable ID and single gene autisms

We are told that syndromes leading to treatable types of intellectual disability (MR/ID) are so rare that it is not cost effective to screen children for them.

We are also told that there are numerous single gene autisms, but that they are ultra rare.

Since almost no children with autism are routinely screened using genetic testing, there is no way to know just how rare treatable ID or single gene autism actually are. 

The current statistics on the incidence rates are nonsense.


Conclusion

Garbage in, garbage out.

Since it was first coined in the world of computer science in the 1950s, the phrase “garbage in, garbage out” has been a popular metaphor for flawed, or nonsense data input that produces flawed or nonsense output, aka “garbage.”

Mark Twain popularised the phrase "lies, damned lies, and statistics" to describe the persuasive power of statistics to bolster weak arguments.

Or, as I would say, if you need a statistician to prove your point, you probably don’t have one.





Tuesday, 14 March 2023

Differentially expressed immune-related genes (dIRGs) in Changsha and Rapamycin/mTOR


 


I did write about an interesting paper last year concerning calcium channels and intellectual disability; it was from a city in China called Changsha.

Epiphany: Calcium channelopathies and intellectual disability

Changsha is on the old train line and the new high speed line from Beijing to Hong Kong. So like many other people, I must have passed by this city of 10 million on the old line, as a backpacking student many years ago.

After three years of closure, China announced that it is reopening to foreign visitors. China is well worth a visit and their high speed trains make travel much easier than it used to be.

Before moving on to today’s paper, I will mention the case study below from one of China’s top hospitals, the PLA hospital in Beijing.  They used the well known mTOR inhibitor Rapamycin to successfully treat an 8 year old boy with idiopathic (of unknown cause) autism.  This drug has been used in models of autism. The mTOR inhibitor Everolimus is approved as adjunctive therapy for a single gene autism called TSC to treat seizures. Click on the link below to read the one page case report.

Rapamycin/Sirolimus Improves the Behavior of an 8-Year-Old Boy With Nonsyndromic Autism Spectrum Disorder

Some readers have mentioned this case study and at least one has made a trial.  In that case the drug was well tolerated but did not moderate autism symptoms.

Mammalian target of rapamycin (mTOR) regulates cell proliferation, autophagy, and apoptosis by participating in multiple signaling pathways in the body. Studies have shown that the mTOR signaling pathway is also associated with cancer, arthritis, insulin resistance, osteoporosis, and other diseases including some autism.

Today we return to Changsha for another interesting paper about the altered immune system in autism and other neurological conditions.  It is an interesting study because it is based on samples from 2,500 brains of controls and patients with six major brain disorders - schizophrenia, bipolar disorder, autism spectrum disorder, major depressive disorder, Alzheimer’s disease, and Parkinson’s disease.

One of the reasons so little progress has been made in treating any neurological condition is the inability to take physical samples to experiment with.  All the 2,500 brain samples are taken from brain banks, not live people.

When it comes to autism that means the sample likely reflects severe autism (DSM3 autism).  No self-identified autism in today’s samples, their brains are unlikely to be donated to medical science. 


Immunity-linked genes expressed differently in brains of autistic people 

Genes involved in immune system function have atypical expression patterns in the brains of people with some neurological and psychiatric conditions, including autism, according to a new study of thousands of postmortem brain samples.

Of the 1,275 immune genes studied, 765 — 60 percent — showed elevated or reduced expression in the brains of adults with one of six conditions: autism, schizophrenia, bipolar disorder, depression, Alzheimer’s disease or Parkinson’s disease. The expression patterns varied by condition, suggesting that there are distinct “signatures” for each one, says lead researcher Chunyu Liu, professor of psychiatry and behavioral sciences at Upstate Medical University in Syracuse, New York.

The expression of immune genes could potentially serve as a marker for inflammation, Liu says. Such immune activation — particularly while in utero — has been associated with autism, though the mechanisms are far from clear.

“My impression is the immune system is not really a very minor player in brain disorders,” Liu says. “It is a major player.”

It’s impossible to discern from this study whether immune activation played a role in contributing to any condition or whether the condition itself led to altered immune activation, says Christopher Coe, professor emeritus of biopsychology at the University of Wisconsin-Madison, who was not involved in the work.

“A study of the postmortem brain is informative,” Coe says. “But not definitive.”

Liu and his team analyzed the expression levels of 1,275 immune genes in 2,467 postmortem brain samples, including 103 from autistic people and 1,178 from controls. The data came from two transcriptomics databases — ArrayExpress and the Gene Expression Omnibus — and other previously published studies.

Brains from autistic people had, on average, 275 genes with expression levels that differed from those of controls; brains from people with Alzheimer’s disease had 638 differentially expressed genes, followed by those with schizophrenia (220), Parkinson’s (97), bipolar disorder (58) and depression (27).

Autistic men’s expression levels varied more than those of autistic women, whereas the brains of women with depression showed more variation than those of men with depression. The other four conditions showed no sex differences.

The autism-related expression pattern more closely resembled those of the neurological conditions — Alzheimer’s and Parkinson’s — than the other psychiatric ones. Neurological conditions, by definition, must have a known physical signature in the brain, such as Parkinson’s characteristic loss of dopaminergic neurons. Researchers have not found such a signature for autism.

“This [similarity] just provides some kind of additional direction we should look into,” Liu says. “Maybe one day we will understand the pathology better.”

The findings were published in Molecular Psychiatry in November.

Two genes, CRH and TAC1, are the most commonly altered among the conditions: CRH is downregulated in all of the conditions but Parkinson’s, and TAC1 is downregulated in all but depression. Both genes affect the activation of microglia, the brain’s immune cells.

Atypical microglial activation may be “derailing normal neurogenesis and synaptogenesis,” Coe says, disrupting neuronal activity similarly across the conditions.

Genes involved in astrocyte and synapse function are similarly expressed in people with autism, schizophrenia or bipolar disorder, a 2018 study of postmortem brain tissue found. But microglial genes are overexpressed in autism alone, that study found.

People with more intensely upregulated immune genes could have a “neuroinflammatory condition,” says Michael Benros, professor and head of research on biological and precision psychiatry at the University of Copenhagen in Denmark, who was not involved in the work.

“It could be interesting to try to identify these potential subgroups and of course provide them more specific treatment,” Benros says.

Most of the expression changes observed in the brain tissue samples did not appear in datasets of gene expression patterns in blood samples from people with the same conditions, the study shows. This “somewhat surprising” finding indicates the importance of studying brain tissue, says Cynthia Schumann, professor of psychiatry and behavioral sciences at the University of California Davis MIND Institute, who was not involved in the study.

“If you want to know about the brain, you have to look at the brain itself,” Schumann says.

 

I am always reminding people not to think that blood samples are going to tell them how to treat autism.  The above commentary also highlights this fact.  If you want to know what is going on in the brain, you have to look there or in spinal fluid.  Looking just at blood samples may send an investigation in completely the wrong direction. Spinal fluid flows around the brain and spinal cord to help cushion them from injury and provide nutrients. Testing spinal fluid requires an invasive procedure, parents do not like it and so it is very rarely carried out until adulthood.  Time has then been lost.

 

Here is the link to the full paper and some highlights I noted.

 

Neuroimmune transcriptome changes in patient brains of psychiatric and neurological disorders 

Neuroinflammation has been implicated in multiple brain disorders but the extent and the magnitude of change in immune-related genes (IRGs) across distinct brain disorders has not been directly compared. In this study, 1275 IRGs were curated and their expression changes investigated in 2467 postmortem brains of controls and patients with six major brain disorders, including schizophrenia (SCZ), bipolar disorder (BD), autism spectrum disorder (ASD), major depressive disorder (MDD), Alzheimer’s disease (AD), and Parkinson’s disease (PD). There were 865 IRGs present across all microarray and RNA-seq datasets. More than 60% of the IRGs had significantly altered expression in at least one of the six disorders. The differentially expressed immune-related genes (dIRGs) shared across disorders were mainly related to innate immunity. Moreover, sex, tissue, and putative cell type were systematically evaluated for immune alterations in different neuropsychiatric disorders. Co-expression networks revealed that transcripts of the neuroimmune systems interacted with neuronal-systems, both of which contribute to the pathology of brain disorders. However, only a few genes with expression changes were also identified as containing risk variants in genome-wide association studies. The transcriptome alterations at gene and network levels may clarify the immune-related pathophysiology and help to better define neuropsychiatric and neurological disorders. 

 

Multiple lines of evidence support the notion that the immune system is involved in major “brain disorders,” including psychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD), brain development disorders such as autism spectrum disorder (ASD), and neurodegenerative diseases such as Alzheimer's disease (AD), and Parkinson's disease (PD). Patients with these brain diseases share deficits in cognition, blunted mood, restricted sociability and abnormal behavior to various degrees. Transcriptome studies have identified expression alterations of immune-related genes (IRGs) in 49 postmortem brains of AD, PD, ASD, SCZ and BD separately. Cross disorder transcriptomic studies further highlighted changes in IRGs. At the protein level, several peripheral cytokines showed reproducible disease-specific changes in a meta-analysis. Since brain dysfunction is considered the major cause of these disorders, studying immune gene expression changes in patient brains may reveal mechanistic connections between immune system genes and brain dysfunction. Most previous studies were limited to the analysis of  individual disorders. There is no comprehensive comparison of the pattern and extent of inflammation-related changes in terms of immune constructs (subnetworks), neuro-immune interaction, genetic contribution, and relationship between diseases.  Neuroinflammation, an immune response taking place within the central nervous system,  can be activated by psychological stress, aging, infection, trauma, ischemia, and toxins. It is regulated by sex, tissue type and genetics, many of which are known disease risk factors for both psychiatric and neurological diseases. The primary function of neuroinflammation is to maintain brain homeostasis through protection and repair. Abnormal neuroinflammation activation could lead to dysregulation of mood, social behaviors, and cognitive abilities. Offspring who were fetuses when their mothers’ immune system was activated (MIA) showed dopaminergic hyperfunction, cognitive impairment, and behavioral abnormalities as adults. Alternatively, acute and chronic neuroinflammation in adulthood can also alter cognition and behavior. In animal models, both adult and developmental maternal immune activation in the periphery can lead to increases in pro-inflammatory cytokines in the brain , similar to what is found in humans with major mental illness.  Previous studies identified immune gene dysregulations in brains of patients with several major brain disorders. For example, Gandal et al. found that up-regulated genes and isoforms in SCZ, BD, and ASD were enriched in pathways such as inflammatory response and response to cytokines. One brain co-expression module up-regulated specifically in MDD was enriched for genes of cytokine-cytokine interactions, and hormone activity pathways. The association of neurological diseases such as AD and PD with IRGs has also been reported. These studies examined the changes of immune system as a whole without going into details of specific subnetworks, the disease signature, or genetic versus environmental contribution. We hypothesize that expression changes of specific subsets of IRGs constitute part of the transcriptome signatures that distinguishes diseases. Since tissue specificity, sex and genetics all could influence such transcriptome signatures, we analyzed their effects. Furthermore, we expect that neurological diseases and psychiatric disorders bear transcriptomic changes that may help to address how similar immunological mechanisms lead to distinct brain disorders. The current boundary between neurological diseases and psychiatric disorders is primarily the presence of known pathology. Neurological diseases have more robust histological changes while psychiatric disorders have more subtle subcellular changes. Nonetheless, pathology evidence is always a subject to be revised with new research.  To investigate immune-related signatures of transcriptome dysregulation in brains of six neurological and psychiatric disorders, we studied a selected list of 1,275 genes known to be associated with neuroinflammation and interrogated their expression across disorders. We collected and analyzed existing transcriptome data of 2,467 postmortem brain samples from donors with AD, ASD, BD, MDD, PD, SCZ and healthy controls (CTL). We identified the differentially expressed IRGs shared across disorders or specific to each disorder, and their related coexpression modules (Fig. S1). These genes and their networks and pathways provided important insight into how immunity may contribute to the risk of these neurological and psychiatric disorders, with a potential to refine disease classification.

 

The two most shared dIRGs are Corticotropin-releasing hormone (CRH) and Tachykinin Precursor 1 (TAC1), which were differentially expressed in five of the six diseases (Fig. 2D). They both involve innate immunity according to the databases we used and literature. CRH was downregulated in five of the six disorders; the exception was PD. CRH can regulate innate immune activation with neurotensin (NT), stimulating mast cells, endothelia, and microglia. TAC1 was down-regulated in five of the six disorders, the exception being MDD.  TAC1 encodes four products of substance P, which can alter the immune functions of activated microglia and astrocytes. Independent RNA-seq data confirmed both CRH and TAC1 findings. These transcripts are also neuromodulators and have action on neurons so they have roles in addition to immune functions. 

This indicated that even though immune dysfunction is widespread in the six disorders, signature patterns of the subset innate immune genes are sufficient to differentiate neurological from psychiatric disorders. 

Disease-specific IRMs in AD, ASD, and PD imply distinct biological processes.

We also searched for disease-specific IRMs for each disorder. We used rWGCNA to construct brain co-expression networks in the brains of each disorder and of controls, then compared them against each other to identify disease-specific IRMs (Fig.5A). Based on preservation results of one disease versus controls and against all other diseases (Fig. 5B, z-summary < 10), as well as immune gene enrichment results (Table S9; enrichment q.value < 0.05), we identified six disease-specific IRMs, including one for AD, three for ASD, and two for PD. We did not detect disease-specific IRMs for SCZ, BD, or MDD, which are considered psychiatric disorders. The disease-specific IRMs were enriched for various functions (Fig. 5C, Table S9). The AD specific IRM was enriched for neuron part (GO:0097458, q.value= 4.57E-4) and presynapse (GO:0098793, q.value = 4.57E-4). The PD-specific IRM was enriched for positive regulation of  angiogenesis (GO:0045766, q.value = 9.65E-06) and secretory granule (GO:0030141, q.value= 220 6.31E-06). The ASD-specific IRMs were enriched for developmental biological processes such as negative regulation of cell proliferation and growth factor receptor binding. 

Our reader Eszter will be pleased to see that the research links the differentially expressed genes more with Alzheimer’s than with Bipolar or Schizophrenia.  She has noted the overlap in effective therapies between Alzheimer’s and autism. 

We came up with four major findings of the neuroimmune system in brains of different neuropsychiatric disorders: 1) the innate immune system carries more alterations than the adaptive immune systems in the six disorders; 2) the altered immune systems interact with other biological pathways and networks contributing to the risk of disorders; 3) common SNPs have a limited contribution to immune-related disease risks, suggesting the environmental contribution may be substantial; and 4) the expression profiles of dIRGs, particularly that of innate immune genes, group neurodevelopment disorder ASD with neurological diseases (AD and PD) instead of with psychiatric disorders (BD, MDD, and SCZ) Dysregulation of the innate immune system is a common denominator for all six brain disorders. We found that more than half of the shared dIRGs and dIRG-enriched pathways were related to the innate immune system. The two most shared dIRGs, TAC1 and CRH, have known effects on innate immune activation(66, 67). Both genes were downregulated in patient brains. Additionally, TLR1/2 mediates microglial activity, which could contribute to neuronal death through the release of inflammatory mediators. Furthermore, innate immunity is critical in maintaining homeostasis in the brain. For example, the innate immune system has been reported to function in the CNS's resilience and in synaptic pruning throughout brain growth. When homeostasis is disrupted, the abnormal innate immunity may impact a wide range of brain functions.

 

Microglia are affected specifically in autism and Alzheimer’s.

Microglia are highlighted in the immune changes in brains of AD and ASD in this study. Microglia is the major cell type participating in the brain’s immune system. Our analyses showed that the IRM12 coexpression module was enriched for microglia genes and associated with inflammatory transcriptional change in AD and ASD but not the other four diseases. Does this suggest that microglial dysfunction contributes more to AD and ASD than to the other disorders? The PsychENCODE study showed the microglial module upregulated in ASD and downregulated in SCZ and BD(16), but the fold changes in SCZ and BD were much smaller than that in ASD (Fig 7.B in original paper(16)). Larger sample size may be needed to detect microglia contribution to other disorders such as SCZ and BD. 

Sex contributes to the disease-related immune changes too. Our results revealed sex-bias dysregulation of IRGs in brains of ASD and MDD but not in other disorders. These two  disorders are known to have sex differences in prevalence. Previous studies also have suggested that sex differences in stress-related neuroinflammation might account for the overall sex bias in stress-linked psychiatric disorders, including female bias in MDD and male bias in ASD. We did not observe sex-biased IRGs in other diseases with known sex-biased prevalence, such as SCZ and AD suggesting that sex differences in SCZ and AD may not involve IRG changes. 

Our results showed how immune system dysregulation may influence gene expression of the networked other non-immune genes and contribute to the pathology of these diseases specifically. Six disease-specific IRMs were detected in AD, ASD, and PD, showing that several functions of the immune-related networks also involved in corresponding disorders such as presynaptic related AD-IRM and Growth factor receptors-related ASD-IRMs. Presynaptic proteins are essential for synaptic function and are related to cognitive impairments in AD(85). Growth factor receptors and N-acetylcysteine are involved in the etiology of ASD. Secretogranin may be a pivotal component of the neuroendocrine pathway and play an essential role in neuronal communication and neurotransmitter release in PD (88). Furthermore, the immune system has been found to regulate presynaptic proteins(89), EGFR(90), and secretogranin(88). Our results indicate that alterations of the immune network can be disease-specific, affecting specific coexpression networks and driving distinct risk of each disorder. 

To our surprise, neurodevelopment disorder ASD was grouped with neurological diseases (AD  and PD) instead of with psychiatric disorders (BD, MDD, and SCZ) according to the changes of IRGs, particularly innate immune genes. Hierarchical clustering analysis based on the effect size of IRGs placed the presumed psychiatric disorder ASD with other neurological diseases. Previous studies have reported that ASD patients exhibited more neurological and immunological problems(99-102) compared to healthy people and to other brain disorders. As more etiologies are uncovered, the traditional classification of these diseases is increasingly challenged(93). Furthermore, we found that dIRGs change more in neurological diseases (AD, PD, and ASD) than in the psychiatric disorders (BD, SCZ, and MDD). It suggested that neuroimmunity dysregulation is more severe in neurological diseases than in psychiatric disorders, led by AD. Neuroimmunity may help to redefine disease classification in the future.

 


Conclusion 

It is good to see there is excellent research coming from China. Our reader Stephen has noted some interesting research underway in Russia. Look both East and West.

Intranasal Inhalations of M2 Macrophage Soluble Factors in Children With Developmental Speech Disorders

In today’s paper the focus was just on immune related genes.  That in itself is a big step forward, since in this blog we are well aware of the key role of the immune system in autism.

In this study all of autism was grouped together, when we know there will be many subgroups with totally different profiles.  In terms of treatment, you would need to know which subgroup you are part of.

But it does tell you that part of your autism therapy is going to have to account for an altered immune status. 

I would have to say that it does follow Western research in getting a bit lost in the detail.  We know that they found 275 of the immune genes mis-expressed in autism.

How about presenting a simple list of the 275 with whether the genes were over or under expressed ?

There are vast spreadsheets in the supplemental data, but nothing as down to earth and common sense as that.

Instead the researchers were preoccupied with overlaps between different conditions and churning out statistics.

It is notable from the first paper I mentioned today that one of the very top Chinese hospitals is actually trying to apply personalized medicine using Rapamycin for autism and publishing a case history. Bravo !!

A logical next step after trying to modify mTOR would be to try epigenetic modification therapy using HDAC inhibition.

One issue here is the age at which therapy begins, not surprisingly some therapies need to commence at birth (or ideally before) and do not give much effect later in life.

Romidepsin is one HDAC inhibitor used in the research.

In the studies below Chinese researchers in the US are making progress. 

In 2018:

Autism's social deficits are reversed by an anti-cancer drug

Using an epigenetic mechanism, romidepsin restored gene expression and alleviated social deficits in animal models of autism.

"In the autism model, HDAC2 is abnormally high, which makes the chromatin in the nucleus very tight, preventing genetic material from accessing the transcriptional machinery it needs to be expressed," said Yan. "Once HDAC2 is upregulated, it diminishes genes that should not be suppressed, and leads to behavioral changes, such as the autism-like social deficits."

But the anti-cancer drug romidepsin, a highly potent HDAC inhibitor, turned down the effects of HDAC2, allowing genes involved in neuronal signaling to be expressed normally.

The rescue effect on gene expression was widespread. When Yan and her co-authors conducted genome-wide screening at the Genomics and Bioinformatics Core at UB's New York State Center of Excellence in Bioinformatics and Life Sciences, they found that romidepsin restored the majority of the more than 200 genes that were suppressed in the autism animal model they used.

In 2021:

Synergistic inhibition of histone modifiers produces therapeutic effects in adult Shank3-deficient mice

 We found that combined administration of the class I histone deacetylase inhibitor Romidepsin and the histone demethylase LSD1 inhibitor GSK-LSD1 persistently ameliorated the autism-like social preference deficits, while each individual drug alone was largely ineffective.

 

We now need some leading researchers/clinicians in China to actually translate this approach to humans and see if it works.  Hopefully the PLA hospital in Beijing are keeping an eye out on what Zhen Yan is up to at the University of Buffalo, NY.  With luck they will not wait 20 years to try it!