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Showing posts with label HDAC. Show all posts
Showing posts with label HDAC. Show all posts

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!





Wednesday 10 October 2018

Ketone Therapy in Autism (Summary of Parts 1-6)




Open the above file via Google Drive, so it is big enough to read. Click the link below. You can also take links from it to the relevant blog post.

https://drive.google.com/file/d/1Jl_JMUrX7suXz0n_yJPCLPinrvdddBhI/view?usp=sharing

In the mini series of posts on ketones and autism we have come across a long list of effects that will benefit certain groups of people.



1.     Change in gut Bacteria


2.     Ketones as a brain fuel    


3.     Niacin Receptor HCA2/ GPR109A

4.     NAD sparing

5.     CtBP Activation by reducing NADH/NAD+ ratio

6.     NLRP3 Inflammasome inhibition

7.     Class 1 HDAC inhibition

8.     Increase BDNF

9.     Ramification of Microglia

10.PKA activation

11.PPAR gamma activation
It was interesting that the beneficial effect of the Ketogenic Diet in epilepsy is driven by changes the high fat diet makes to the bacteria in your gut and seems to have nothing really to do with ketones. Well it took a hundred years to figure that one out.
In the case of Alzheimer’s, you can see that more than one effect is potentially beneficial. People with Alzheimer’s do have low glucose uptake to the brain, but they also have elevated inflammatory cytokine IL-1B.
In Huntington’s it is the HDAC inhibition effect that seems to be what helps.  This brings us back to HDAC inhibition as a potentially transformative therapy with long lasting effects. It appears that the small number of people who achieve long lasting benefit from short term use of sulforaphane or EGCG may have experienced HDAC inhibition changing the expression of up to 200 genes.  In the case of sulforaphane from broccoli, some people have gut bacteria that produces large amounts of the enzyme myrosinase, which means they convert very much more of the glucoraphanin in broccoli to sulforaphane (an HDAC inhibitor).
It does look like a low dose of a potent HDAC inhibiting cancer drug is what is needed by certain single gene autisms and perhaps some idiopathic autism. This was covered in a dedicated post where we saw the long-lasting benefit of short-term use of Romidepsin. Vorinostat, a very similar drug, but which is taken orally, should be trialled in Shank 3, Pitt Hopkins and Kabuki, to see if the same transformative long-lasting effect can be reproduced.
In Multiple Sclerosis (MS) the effect on Niacin receptor HCA2/GPR109A should help a lot, but so should PKA activation.
In mitochondrial disease it was suggested that increased ketosis will help conserve NAD, which may be deficient. Also, using ketones as an alternative brain fuel may bypass problems that occur when glucose is supposed to be the fuel and thereby boost brain function. The most important effect is likely to be activation of PPAR gamma by C10, which increases the number of mitochondria and boosts the enzyme complex 1.
Many of the people with autism and an overactive immune system stand to benefit from activating CtBP, inhibiting the NLRP3 inflammasome, or activating HCA2/GPR109A.
I think there should be clinical trials using a potent HCA2 activator in autism comorbid with immune over-activation. 
We can see that some people who respond to BHB, experience an immune rebound on cessation, so this helps narrow down the likely beneficial mode of action.  In this immune sub-group, the idea to using other activators of HCA2/GPR109A would seem worthwhile. 

PPAR gamma activation should help those with mitochondrial dysfunction, but this effect is produced only by C10, not BHB or C8. For C10 you eat a ketogenic diet or add it as a supplement (e.g. cheaper MCT oil, or coconut oil).

As recently highlighted by our reader Agnieszka, perhaps the fever effect in autism can be explained by short-term ketosis. Fever is known to sometimes raise the level of ketones, particularly in children (it is called non-diabetic ketosis).  So if your child's autism improves during, or just after fever, test the level of ketones in their urine.


Conclusion

We may have shown the benefits of a high fat ketogenic diet, but there are very many different fats and they do not all produce the same effects.

There are many saturated fatty acids, they are numbered based on how many Carbon atoms they have.

So, C8, known as Caprylic acid has the formula  C8H16O2

Eating C8 looks to be a great way to increase the level of ketones in your blood.

Eating C10 should be good for people with mitochondrial dysfunction and people with diabetes.

Your food contains many other saturated fatty acids and your gut bacteria produce even more.


Common Name Systematic Name Structural Formula Lipid Numbers
Propionic acid Propanoic acid CH3CH2COOH C3:0
Butyric acid Butanoic acid CH3(CH2)2COOH C4:0
Valeric acid Pentanoic acid CH3(CH2)3COOH C5:0
Caproic acid Hexanoic acid CH3(CH2)4COOH C6:0
Enanthic acid Heptanoic acid CH3(CH2)5COOH C7:0
Caprylic acid Octanoic acid CH3(CH2)6COOH C8:0
Pelargonic acid Nonanoic acid CH3(CH2)7COOH C9:0
Capric acid Decanoic acid CH3(CH2)8COOH C10:0
Undecylic acid Undecanoic acid CH3(CH2)9COOH C11:0
Lauric acid Dodecanoic acid CH3(CH2)10COOH C12:0
Tridecylic acid Tridecanoic acid CH3(CH2)11COOH C13:0
Myristic acid Tetradecanoic acid CH3(CH2)12COOH C14:0
Pentadecylic acid Pentadecanoic acid CH3(CH2)13COOH C15:0
Palmitic acid Hexadecanoic acid CH3(CH2)14COOH C16:0
Margaric acid Heptadecanoic acid CH3(CH2)15COOH C17:0
Stearic acid Octadecanoic acid CH3(CH2)16COOH C18:0
Nonadecylic acid Nonadecanoic acid CH3(CH2)17COOH C19:0
Arachidic acid Eicosanoic acid CH3(CH2)18COOH C20:0

C4, familiar as Butyric acid, helps maintain the integrity of the intestinal barrier and the blood brain barrier.  Butyric acid, or butyrate, is also an HDAC inhibitor and it seems that in animal models, and some humans, a small amount can be beneficial but large amounts can have a negative effect. A small amount in humans seems to be about 500 mg a day.  There are earlier posts is this blog on butyrate.

C3, familiar as Propionic acid, is bad for you and too much propionic acid will by itself cause autistic behaviours. NAC counters the effect of propionic acid in mouse models.

All those people eating coconut oil are consuming a 99% mixture of fatty acids with 1% phytosterols.

Phytosterols like β-SitosterolStigmasterolAvenasterol and Campesterol likely explain why coconut oil actually reduces "bad" cholesterol, rather than increasing it, as predicted by the American Heart Association and others. This counters the negative effect of the Palmitic acid (C16).

Lauric acid (C12) is thought to increase HDL ("good") cholesterol and may have a beneficial effect on acne.

Myristic acid (C14) is also thought to increase HDL ("good") cholesterol.

Palmitic acid (C16) raises LDL ("bad") cholesterol and large amounts have other negative effects.

Oleic acid is also found in olive oil and is seen as a fat with beneficial effects.



Fatty acid content of coconut oil
Type of fatty acid pct
Caprylic saturated C8
7%
Decanoic saturated C10
8%
Lauric saturated C12
48%
Myristic saturated C14
16%
Palmitic saturated C16
9.5%
Oleic monounsaturated C18:1
6.5%
Other
5%
black: Saturated; grey: Monounsaturated; blue: Polyunsaturated


So the only "bad" part of coconut oil is the Palmitic acid (C16).

As for MCT oil, what is in that?


In pharmaceutical MCT oil, like the one sold by Nestle, the contents are:-


Shorter than C8      1%
C8 (Octanoic)      54%
C10 (Decanoic)   41%
Longer than C10    4%

What is the effect of those fatty acids with more than 10 carbon atoms?  Nobody likely knows.



Cooking with MCT Oil? 

This is what Nestle has in mind for dinner.


Mct Spaghetti With Meat Sauce






4 Tbsp. MCT Oil® (Medium Chain Triglycerides)
1 lb. very lean ground veal or beef
1 tsp. salt
1/2 tsp. pepper
1/4 cup chopped onion
3 Tbsp. chopped green pepper
1 cup MCT Tomato Sauce (see recipe on site)
2 cups cooked spaghetti

Heat MCT Oil; add veal, salt and pepper.
Cook until meat is brown.
Add onion, green pepper, and tomato sauce. Cook for 30 minutes over low heat.
Add cooked spaghetti, stir and serve.