Organ epigenetic memory

This 2018 Japanese review subject was the relationships of organ memory and non-communicable diseases:

“Organ memory is the engraved phenotype of altered organ responsiveness acquired by a time-dependent accumulation of organ stress responses. This phenomenon is known as “metabolic memory” or “legacy effect,” which is similar to neuronal and immune memory.

Not only is the epigenetic change of key genes involved in the formation of organ memory but the alteration of multiple factors, including low molecular weight energy metabolites, immune mediators, and tissue structures, is involved as well. These factors intercommunicate during every stress response and carry out incessant remodeling in a certain direction in a spiral fashion through positive feedback mechanisms.

The systematic review revealed that each intervention type, that is:

  • Glucose lowering,
  • Blood pressure lowering, or
  • LDL-cholesterol lowering,

possessed unique characteristics of the memory phenomenon. Most of the observational periods of these studies lasted for > 10 years. Memory phenomenon was suggested to last for a long time and is thought to have a considerable effect on the clinical course of NCDs [non-communicable diseases].

Organs cannot possess consciousness, so it might not be appropriate to consider whether a recalling process exists in organs. However, the properties of organs are incessantly altered by external stimuli loaded on organs as if it is updating.

It is clinically important to investigate whether organ memory can be updated by our behaviors. Once organ memory is established in an organ, organ memory in each organ can influence one another and affect organ memory in a different organ.

Epigenome-modification enzymes, such as histone deacetylases and DNA methyltransferases, and transcription factors seem to be essential for the epigenetic regulation of gene expression, which is involved in the generation of organ memory. Cellular metabolism can epigenetically modulate the expression of genes that are related to the progression of diseases.”

https://www.nature.com/articles/s41440-018-0081-x “Organ memory: a key principle for understanding the pathophysiology of hypertension and other non-communicable diseases” (not freely available)


1. The reviewers asserted:

“Organs cannot possess consciousness, so it might not be appropriate to consider whether a recalling process exists in organs.”

Memory studies don’t require this consciousness to investigate even brain areas and functions. Researchers observe memory by measuring stimulus/response items like neuron activation and various levels of behavior. Consciousness is an emergent property.

2. Regarding recall: An organ’s “engraved phenotype of altered organ responsiveness” may not have recall itself, but it doesn’t have a separate existence apart from its body. An organ can’t be removed from its body for very long and still be part of its body.

When an organ is in its normal state as part of a body, it has access to recall-like functions via “inter-organ communication of organ memory.” The review also mentioned:

“Organ memory in each organ can influence one another and affect organ memory in a different organ.

Evolution didn’t support unnecessary duplication for a kidney’s memory to include recall because it’s part of a body that includes a brain that has recall. Evolution didn’t duplicate functions of a kidney’s memory in a brain, either.

Flawed epigenetic measurements of behavioral experiences

This 2018 New York rodent study not only wasted resources but also speciously attempted to extrapolate animal study findings to humans:

“While it is clear that behavioral experience modulates epigenetic profiles, it is less evident how the nature of that experience influences outcomes and whether epigenetic/genetic “biomarkers” could be extracted to classify different types of behavioral experience.

Male and female mice were subjected to either:

  • a Fixed Interval (FI) schedule of food reward, or
  • a single episode of forced swim followed by restraint stress, or
  • no explicit behavioral experience

after which global expression levels of two activating (H3K9ac and H3K4me3) and two repressive (H3K9me2 and H3k27me3) post-translational histone modifications (PTHMs), were measured in hippocampus (HIPP) and frontal cortex (FC).

A random subset of 5 of the 12 animals from each sex/behavioral experience group were used for these analyses. FC and HIPP were dissected from each of those 5 brains and homogenized for subsequent analyses. Thus, sample size for PTHM expression levels was n = 5 for each region/sex/behavioral treatment group and all PTHM expression level analyses utilized the homogenized tissue.

The specific nature of the behavioral experience differentiated profiles of PTHMs in a sex- and brain region-dependent manner, with all 4 PTHMs changing in parallel in response to different behavioral experiences. Global PTHMs may provide a higher-order pattern recognition function.”


The researchers knew or should have known that measuring “global expression levels” in “homogenized tissue” of “n = 5” subjects was flawed, and they did it anyway. They acknowledged some of the numerous study design defects with qualifiers such as:

“Even though these were global levels of histone modifications (and thus not indicative of changes at specific genes or sites on genes)..

As FS-RS behavioral experience was completed before FI behavioral experience, a longer overall post-behavior experience time (approximately 1 week) elapsed for this group, resulting in some differences in overall timing between these experiences and global PTHM assessment. However, extending the duration of the FS-RS experience (i.e., repeated exposures) would also have led to habituation..”

Did they purposely make these mistakes because of the “biomarkers” paradigm?

What would they have found if they had followed their judgments and training to design a better study? Experience-dependent histone modifications that differed by gender and brain region was certainly a promising research opportunity.

As for extrapolating the cited animal study findings to humans? Ummm..NO!

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060276/ “Different Behavioral Experiences Produce Distinctive Parallel Changes in, and Correlate With, Frontal Cortex and Hippocampal Global Post-translational Histone Levels”

Unindexed comment links?

It’s dawned on me that although links in blog posts are indexed by search engines, links in comments may not be. Here’s a post to elevate links in three comments that may have escaped notice.


From A review of biological variability:

“It is my view that all researchers have a narrow focus on what they want to research, without having an over-riding paradigm in which to fit the research and its results. Janovian Primal Therapy and theory, with its focus and understanding of the three different levels of consciousness would provide for a much needed over-arching paradigm, especially in the area of mental health.”

Congratulations on an excellent podcast, Gil!
59. Gilbert Bates in “Feel It Still” // Love, Primal Therapy & the Three Levels of Consciousness


From Remembering Dr. Arthur Janov:

“You are right on. The Norcross survey, in particular, is utter crap. More than half of those “experts” surveyed were CBT therapists who knew nothing about PT and yet deemed themselves confident to judge “primal scream therapy” as “discredited.” I feel the therapy will never be understood for what it is.”

Thanks for the detailed explanation, Bruce!
The Worst Comparative Psychotherapy Study Ever Published


From How one person’s paradigms regarding stress and epigenetics impedes relevant research:

“There is of course, reversibility. Michael Meaney’s baby rats had their epigenetic changes reversed with loving maternal care. There are several compounds in development which have been shown to reverse methylation. This former physician and researcher says, “Epigenetic changes affect the level of activity of our genes. Genetic activity levels affect our emotions, beliefs, and our bodies. Exploring epigenetics and chronic illness may help us understand causes that many of us suspect have played a role in the onset and evolution of our illnesses. Furthermore, these epigenetic changes have been found to be reversible, at least some of the time, even with a seemingly indirect treatment such as psychotherapy.” Epigenetics and Chronic Illness: Why Symptoms May Be Reversible

I looked up the psychotherapy references and found this: Serotonin tranporter methylation and response to cognitive behaviour therapy in children with anxiety disorders (reversible even with CBT, the weakest therapy of all!)

And this:
MAOA gene hypomethylation in panic disorder—reversibility of an epigenetic risk pattern by psychotherapy (also CBT)

So what gives? I suspect that your researcher is working with his/her head in the sand, hamstrung by their ideological biases. If CBT can effect epigenetic changes, imagine what primal therapy can do.”


And a seven-year anniversary repost of events that affect me every day:

Reflections on my four-year anniversary of spine surgery

Prenatal programming of human HPA axis development

This 2017 UC Irvine human review subject provided details of how fetal hypothalamic-pituitary-adrenal components and systems develop, and how they are epigenetically changed by the mother’s environment:

“The developmental origins of disease or fetal programming model predicts that intrauterine exposures have life-long consequences for physical and psychological health. Prenatal programming of the fetal hypothalamic-pituitary-adrenal (HPA) axis is proposed as a primary mechanism by which early experiences are linked to later disease risk.

Development of the fetal HPA axis is determined by an intricately timed cascade of endocrine events during gestation and is regulated by an integrated maternal-placental-fetal steroidogenic unit. Mechanisms by which stress-induced elevations in hormones of maternal, fetal, or placental origin influence the structure and function of the emerging fetal HPA axis are discussed.

Human gestational physiology and fetal HPA axis development differ even from that of closely related nonhuman primates, thereby limiting the generalizability of animal models. This review will focus solely on studies of prenatal stress and fetal HPA axis development in humans.”


1. Every time I read a prenatal study I’m in awe of all that has to go right – and at the appropriate times and sequences – for a fetus to be undamaged. Add in what needs to happen at birth, during infancy, and throughout early childhood, and it seems impossible for any human to escape epigenetic damage.

2. The reviewers referenced animal studies and human research performed with postnatal subjects, despite the disclaimer:

This review will focus solely on studies of prenatal stress and fetal HPA axis development in humans.”

This led to blurring of what had been studied or not with human fetuses regarding the subject.

3. These reviewers uncritically listed many dubious human studies that had both stated and undisclosed severe limitations on their findings. Other reviewers offer informed analysis of cited studies, as Sex-specific impacts of childhood trauma summarized with cortisol:

“Findings are dependent upon variance in extenuating factors, including but not limited to, different measurements of:

  • early adversity,
  • age of onset,
  • basal cortisol levels, as well as
  • trauma forms and subtypes, and
  • presence and severity of psychopathology symptomology.”

4. The paper would have been better had it stayed on topic with its title “Developmental origins of the human hypothalamic-pituitary-adrenal axis.” Let other reviews cover animals, post-natal humans, and questionable evidence.

5. I asked the reviewers to provide a searchable file to facilitate using their work as a reference.

https://www.researchgate.net/publication/318469661_Developmental_origins_of_the_human_hypothalamic-pituitary-adrenal_axis “Developmental origins of the human hypothalamic-pituitary-adrenal axis” (registration required)

Hidden hypotheses of epigenetic studies

This 2018 UK review discussed three pre-existing conditions of epigenetic genome-wide association studies:

“Genome-wide technology has facilitated epigenome-wide association studies (EWAS), permitting ‘hypothesis-free’ examinations in relation to adversity and/or mental health problems. Results of EWAS are in fact conditional on several a priori hypotheses:

  1. EWAS coverage is sufficient for complex psychiatric problems;
  2. Peripheral tissue is meaningful for mental health problems; and
  3. The assumption that biology can be informative to the phenotype.

1. CpG sites were chosen as potentially biologically informative based on consultation with a consortium of DNA methylation experts. Selection was, in part, based on data from a number of phenotypes (some medical in nature such as cancer), and thus is not specifically targeted to brain-based, stress-related complex mental health phenotypes.

2. The assumption is often that distinct peripheral tissues are interchangeable and equally suited for biomarker detection, when in fact it is highly probable that peripheral tissues themselves correspond differently to environmental adversity and/or disease state.

3. Analyses result in general statements such as ‘neurodevelopment’ or the ‘immune system’ being involved in the aetiology of a given phenotype. Whether these broad categories play indeed a substantial role in the aetiology of the mental health problem is often hard to determine given the post hoc nature of the interpretation.”


The reviewers mentioned in item #2 the statistical flaw of assuming that measured entities are interchangeable with one another. They didn’t mention that the problem also affected item #1 methodologies of averaging CpG methylation measurements in fixed genomic bins or over defined genomic regions, as discussed in:

The reviewers offered suggestions for reducing the impacts of these three hypotheses. But will doing more of the same, only better, advance science?

Was it too much to ask of researchers whose paychecks and reputations depended on a framework’s paradigm – such as the “biomarker” mentioned a dozen and a half times – to admit the uselessness of gathering data when the framework in which the data operated wasn’t viable? They already knew or should have known this.

Changing an individual’s future behavior even before they’re born provided one example of what the GWAS/EWAS framework missed:

“When phenotypic variation results from alleles that modify phenotypic variance rather than the mean, this link between genotype and phenotype will not be detected.”

DNA methylation and childhood adversity concluded that:

“Blood-based EWAS may yield limited information relating to underlying pathological processes for disorders where brain is the primary tissue of interest.”

The truth about complex traits and GWAS added another example of how this framework and many of its paradigms haven’t produced effective explanations of “the aetiology of the mental health problem”

“The most investigated candidate gene hypotheses of schizophrenia are not well supported by genome-wide association studies, and it is likely that this will be the case for other complex traits as well.”

Researchers need to reevaluate their framework if they want to make a difference in their fields. Recasting GWAS as EWAS won’t make it more effective.

https://www.sciencedirect.com/science/article/pii/S2352250X18300940 “Hidden hypotheses in ‘hypothesis-free’ genome-wide epigenetic associations”

A book review of “Neuroepigenetics and Mental Illness”

A 2018 online book “Neuroepigenetics and Mental Illness” was published at https://www.sciencedirect.com/bookseries/progress-in-molecular-biology-and-translational-science/vol/158/suppl/C (not freely available). Three chapters are reviewed here, with an emphasis on human studies:


Actually, I won’t waste my time or your time with what I planned to do. The lack of scientific integrity and ethics displayed by the book’s publisher, editor, and contributors in the below chapter spoke volumes.

How can the information in any other chapter of this book be trusted?


“Chapter Twelve: Transgenerational Epigenetics of Traumatic Stress”

This chapter continued propagating a transgenerational meme that had more to do with extending paradigms than advancing science. The meme is that there are adequately evidenced transgenerational epigenetic inheritance human results.

As noted in Epigenetic variations in metabolism, there aren’t any published human studies that provide incontrovertible evidence from the F0 great-grandparents, F1 grandparents, F2 parents, and F3 children to confirm definitive transgenerational epigenetic inheritance causes and effects. Researchers urgently need to do this human research, and stop pretending that it’s already been done.

How did the book’s editor overlook what this chapter admitted?

“Literature about the inheritance of the effects of traumatic stress in humans has slowly accumulated in the past decade. However, it remains thin and studies in humans also generally lack clear “cause and effect” association, mechanistic explanations or germline assessment.”

Were the publisher and editor determined to keep the chapter heading – and the reviewers determined to add another entry to their CVs – in the face of this weasel-wording?

“In conclusion, although less studied from a mechanistic point of view, inter- and possibly transgenerational inheritance of the effects of traumatic stress is supported by empirical evidence in humans.”

See the comments below for one example of the poor substitutes for evidence that propagators of this transgenerational meme use to pronounce human transgenerational epigenetic inheritance a fait accompli. Researchers supporting the meme and its funding pipeline most certainly know that not only this one example, but also ALL human transgenerational epigenetic inheritance studies:

“Lack clear “cause and effect” association, mechanistic explanations or germline assessment.”

Lack of scientific integrity is one reason why such human research hasn’t been undertaken with the urgency it deserves. Propagating this meme is unethical, and adversely affects anyone who values evidence-based research.

Epigenetic effects of breast cancer treatments

This 2018 UC San Diego review subject was the interplay between breast cancer treatments and their effects on aging:

“Although current breast cancer treatments are largely successful in producing cancer remission and extending lifespan, there is concern that these treatments may have long lasting detrimental effects on cancer survivors, in part, through their impact on non-tumor cells. It is unclear whether breast cancer and/or its treatments are associated with an accelerated aging phenotype.

In this review, we have highlighted five of nine previously described cellular hallmarks of aging that have been described in the context of cytotoxic breast cancer treatments:

  1. Telomere attrition;
  2. Mitochondrial dysfunction;
  3. Genomic instability;
  4. Epigenetic alterations; and
  5. Cellular senescence.”


The review was full of caveats weakening the above graphic’s associations:

  1. “Telomere attrition – Blood TL [telomere length] was not associated with chemotherapy in three out of four studies;
  2. Mitochondrial dysfunction – How cancer therapies affect cellular energetics as they relate to rate of aging is unclear;
  3. Genomic instability – Potentially contributing to accelerated aging;
  4. Epigenetic alterations – Although some of the key regulators of these processes have begun to be identified, including DNA and histone methylases and demethylases, histone acetylases and de-acetylases and chromatin remodelers, how they regulate the changes in aging through alteration of global transcriptional programs, remains to be elucidated; and
  5. Cellular senescence – Dysregulated pathways can be targeted by cytotoxic chemotherapies, resulting in preferential cell death of tumor cells, but how these treatments also affect normal cells with intact pathways is unclear.”

To their credit, these reviewers at least presented some of the contrary evidence, and didn’t continue on with a directed narrative as other reviewers are prone to do.

https://www.sciencedirect.com/science/article/pii/S1879406818301176 “Breast cancer treatment and its effects on aging” (not freely available)


The originator of the epigenetic clock methodology was a coauthor of the review. Only one of his works was cited in the Epigenetic alterations subsection:

https://link.springer.com/article/10.1007%2Fs10549-017-4218-4 “DNA methylation age is elevated in breast tissue of healthy women”

This freely-available 2017 study quoted below highlighted that epigenetic clock measurements as originally designed were tissue-specific:

“To our knowledge, this is the first study to demonstrate that breast tissue epigenetic age exceeds that of blood tissue in healthy female donors. In addition to validating our earlier finding of age elevation in breast tissue, we further demonstrate that the magnitude of the difference between epigenetic age of breast and blood is highest in the youngest women in our study (age 20–30 years) and gradually diminishes with advancing age. As women approach the age of the menopausal transition, we found that the epigenetic of age of blood approaches that of the breast.”

Additional caution was justified in both interpreting age measurements and extending them into “cellular hallmarks” when the tissue contained varying cell types:

“Our studies were performed on whole breast tissue. Diverse types of cells make up whole breast tissue, with the majority of cells being adipocytes. Other types of cells include epithelial cells, cuboidal cells, myoepithelial cells, fibroblasts, inflammatory cells, vascular endothelial cells, preadipocytes, and adipose tissue macrophages.

This raises the possibility that the magnitude of the effects we observe, of breast tissue DNAm age being greater than other tissues, might be an underestimation, since it is possible that not all of the cells of the heterogenous sample have experienced this effect. Since it is difficult to extract DNA from adipose tissue, we suspect that the majority of DNA extracted from our whole breast tissues was from epithelial and myoepithelial cells.”

Allergies and epigenetic histone modifications

This 2018 German review provided short summaries of 44 studies on the contribution of histone modifications to allergies. An overall summary of their search results was:

“There are at least two levels at which the role of histone modifications is manifested.

  • One is the regulation of cells that contribute to the allergic inflammation (T cells and macrophages) and those that participate in airway remodeling.
  • The other is the direct association between histone modifications and allergic phenotypes.

Inhibitors of histone-modifying enzymes may potentially be used as anti-allergic drugs. Furthermore, epigenetic patterns may provide novel tools in the diagnosis of allergic disorders.”


This type of search is what’s expected of researchers who will perform either:

  • A meta-analysis of studies selected from the search results; or
  • Their own study.

These reviewers didn’t indicate that they were proceeding along either path.

The review was fine for the purpose of presenting current studies of the subject. But this was just the preparatory stage of research.

https://aacijournal.biomedcentral.com/articles/10.1186/s13223-018-0259-4 “Histone modifications and their role in epigenetics of atopy and allergic diseases”

Epigenetic variations in metabolism

This 2018 German review was comprehensive for its subject, epigenetic control of variation and stochasticity in metabolic disease. I’ll focus on one aspect, phenotypic variation:

“Phenotypic [Mendelian] variation can result both from gain- and loss-of-function mutations. Because of the extreme interconnectivity of cell regulatory networks, even at the cellular level, predicting the impact of a sequence variant is difficult as the resultant variation acts:

  • In the context of all other variants and
  • Their potential additive, synergistic and antagonistic interactions.

This phenomenon is known as epistasis.

∼98.5% of our genome is non-protein-coding: it is pervasively transcribed, and its transcripts can support regulatory function. Among the best functionally characterized non-coding RNAs (ncRNAs) arising from these sequences are microRNAs (miRNAs).

Environmental [non-Mendelian] variation or ‘stimuli’ occurring during critical windows of susceptibility can elicit lifelong alterations in an individual’s phenotype. Intergenerational metabolic reprogramming [in fruit flies] results from global alterations in chromatin state integrity, particularly from reduced H3K27me3 and H3K9me3 [histone] domains.

The broad variation of fingerprints in humans is thought to depend to a large degree on stochastic variation in mechanical forces. These clear examples of inducible multi-stable or stochastic variation highlight how little we know about the landscape of potential phenotypic variation itself.

Consensus estimates of heritability for obesity and T2D are ∼70% and ∼35% respectively. The remaining, unexplained component is known to involve gene–environment interactions as well as non-Mendelian players.”


Although the above graphic displays transgenerational inheritance for humans, the reviewers didn’t cite any human studies that adequately demonstrated causes for and effects of transgenerational epigenetic inheritance.

I’ve read the cited Swedish and Dutch studies. Their designs, methods, and “correlate with” / “was associated with” results didn’t provide incontrovertible evidence from the F0 great-grandparents, F1 grandparents, F2 parents, and F3 children. It’s necessary to thoroughly study each generation to confirm definitive transgenerational epigenetic inheritance causes and effects.

As noted in How to hijack science: Ignore its intent and focus on the 0.0001%, there aren’t any such published studies to cite. Researchers urgently need to do this human research, and stop using these poor substitutes [1] to pretend there are already adequately evidenced transgenerational epigenetic inheritance human results.

I downgraded the review for treating research of this and other subjects as faits accomplis. It’s opposite ends of the evidential spectrum to state “how little we know about the landscape of potential phenotypic variation,” and in the same review, speciously extrapolate animal experiments into putative human results.

https://www.sciencedirect.com/science/article/pii/S2212877818301984 “Epigenetic control of variation and stochasticity in metabolic disease”


[1] As an example of the poor substitutes for evidence, a researcher referred me to the 2013 “Transgenerational effects of prenatal exposure to the 1944–45 Dutch famine” which is freely available at https://obgyn.onlinelibrary.wiley.com/doi/full/10.1111/1471-0528.12136 as a study finding human transgenerational epigenetic inheritance.

The Methods section showed:

  • The study’s non-statistical data was almost all unverified self-reports by a self-selected sample of the F2 generation, average age 37.
  • No detailed physical measurements or samples were taken of them, nor of the F1 generation, nor of the F0 generation, all of which are required as baselines for any transgenerational epigenetic inheritance findings.
  • No detailed physical measurements or samples were taken of the F3 generation, which is the generation that may provide transgenerational evidence if the previous generations also have detailed physical baselines.

The study’s researchers drew enough participants (360) such that their statistics package allowed them to impute and assume into existence a LOT of data. But the scientific method constrained them to make factual statements of what the evidence actually showed. They admitted:

“In conclusion, we did not find a transgenerational effect of prenatal famine exposure on the health of grandchildren in this study.”

Yet this study is somehow cited for evidence of human transgenerational epigenetically inherited causes and effects!

Group statistics don’t necessarily describe an individual

I’m curating this 2018 UC Berkeley/Drexel/Netherlands analysis of human studies via its press coverage. The authors:

“Collaborated to analyze data on hundreds of adults – some mentally or physically sound, others suffering from various conditions such as depression, anxiety, or post-traumatic stress disorder. Participants had completed surveys about their mental health and had their heart rates monitored via electrocardiogram.

Researchers used the data to conduct six different experiments. They sought to find out whether the conclusions of each study would successfully apply to participants individually.

One study that focused on how frequently depression sufferers reported feeling worried. Results tallied from the pool of participants showed that depressed people worry a significant amount.

But when the analysis was applied individually, the results were all over the map. Some participants worried hardly at all, while others were notably beyond the group average.

Another experiment that centered around the link between fear and avoidance showed a strong correlation when measured as a group. Yet a significant number of participants who experienced fear had no issues with avoiding various activities.

Across all six experiments, the authors could not show that what was concluded for the group applied to most individuals.”


http://www.pnas.org/content/early/2018/06/15/1711978115.full “Lack of group-to-individual generalizability is a threat to human subjects research”


Other studies such as the below have addressed problems with statistical analysis techniques. These issues aren’t limited to human studies:


The current study highlighted the fact that people aren’t interchangeable. Assuming ergodicity is a statistical analysis flaw that produces individually inapplicable results for many measurements of fruit flies, cells, humans, you name the organism.

When this presumption makes a study’s statistics useless for an individual, researchers can’t cure the analysis by invoking an “individual differences” meme. Neither is the flaw fixed by spinning a tale about “This is how we can truly personalize medicine.”

The current study needed to provide evidence for its proposed solution.


Regarding worrying, Dr. Arthur Janov said it best as I quoted in How well can catastrophes be predicted?:

“Worrying is not a problem, it is the symptom of something that is occurring physiologically within the brain. What causes worrying is the problem.

Constant worry is anticipating catastrophe. But what we don’t realize is that the catastrophe already has happened; we simply have no access to it.

We are actually worried about the past, not the future.”

Starving awakens ancient parasite DNA within us

This 2018 Italian human cell study conducted a series of experiments on the effects of nutrient deprivation:

“Reduced food intake, and in particular protein or amino acid (AA) restriction, extends lifespan and healthspan.

We have previously shown that, in mammalian cells, deprivation of essential AAs (methionine/cysteine or tyrosine) leads to the transcriptional reactivation of integrated silenced transgenes by a process involving epigenetic chromatic remodeling and histone acetylation.

Here we show that the deprivation of methionine/cysteine also leads to the transcriptional upregulation of endogenous retroviruses [ERVs], suggesting that essential AA starvation affects the expression not only of exogenous non-native DNA sequences, but also of endogenous anciently-integrated and silenced parasitic elements of the genome.

ERVs, comprising 8% of the human genome, represent the remnants of past infections of germ cells by exogenous retroviruses, and are mostly unable to retrotranspose in the human genome. However, they can reactivate during physiological development, or in pathological conditions like cancer, and regulate the expression of nearby genes by their LTR elements, leading to general transcriptional reprogramming.

Dissection of the underlying mechanism ruled out a role for the main AA-deficiency sensor GCN2 and pointed to the ribosome as the possible master controller.”

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0200783 “Amino acid deprivation triggers a novel GCN2-independent response leading to the transcriptional reactivation of non-native DNA sequences”


The study found that reality is sometimes stranger than what fiction writers dream up. 🙂

The authors cited a 2016 Danish review I hadn’t previously curated:

https://www.nature.com/articles/nrendo.2016.87 “The role of diet and exercise in the transgenerational epigenetic landscape of T2DM” (not freely available)

Contrary to what’s implied by its title, though, and as I noted in How to hijack science: Ignore its intent and focus on the 0.0001%, those reviewers didn’t cite any human studies that adequately demonstrated transgenerational epigenetic inheritance causes and effects. They admitted:

“Direct evidence that epigenetic factors drive the inheritance of T2DM [type 2 diabetes mellitus] in humans is lacking.”

The Danish reviewers then continued on as if proof of human transgenerational epigenetic inheritance was a foregone conclusion! It didn’t serve any valid scientific purpose to assume such evidence into existence.

A dietary supplement that trains the innate immune system

This 2018 Netherlands review topic was long-term epigenetic programming of the innate immune system:

“Immunological memory has been classically described for the adaptive immune system, in which naive B and T lymphocytes develop antigen-specific, long-lasting memory cells after encountering a new antigen.

Immunological memory is not an exclusive trait of lymphocytes. The function of cells from the innate immune system, such as monocytes, macrophages, dendritic cells, and NK cells, is also influenced by contact with different stimuli, undergoing functional reprogramming.

β-glucan, the prototypical trained immunity-inducing agonist:

  • Modulates hematopoietic stem and progenitor cells, influencing behavior and responsiveness of peripheral myeloid cells;
  • Leads to a shift of cellular metabolism from oxidative phosphorylation toward aerobic glycolysis.

Analysis of transcriptional data from macrophages stimulated with β-glucan revealed that the cholesterol synthesis pathway is highly up-regulated in trained immunity. A follow-up of this study showed that activation of the cholesterol synthesis pathway, but not its synthesis itself, is crucial for innate memory. In agreement with this, inhibition of cholesterol synthesis in mice reduced induction of trained immunity by β-glucan.

β-glucan-induced changes in trimethylation of histone 3 lysine 4 (H3K4me3) and acetylation of histone 3 lysine 27 (H3K27ac) in human monocytes 7 days after the first stimulation in vitro were associated with a switch to glycolysis, suggesting a deep, long lasting reprogramming of cells.

Inducers of cellular reprogramming such as β-glucan have shown potential as a treatment or adjuvant for osteosarcoma, influenza, or skin lesions, among others.”

https://jlb.onlinelibrary.wiley.com/doi/pdf/10.1002/JLB.MR0318-104R “Long-term reprogramming of the innate immune system”

A seasonal epigenetic effect of conception on BMI

This 2018 Swiss human/rodent study found:

“The presence of brown adipose tissue (BAT) and the season of conception are linked to BMI in humans. In mice, we demonstrate that cold exposure (CE) of males, but not females, before mating results in improved systemic metabolism and protection from diet-induced obesity of the male offspring.

Adipose tissue functions as a dynamic endocrine organ, and its ‘quality’ is considered to be an important factor in the development of obesity-associated comorbidities. Adipose tissue can be divided into the functionally and morphologically distinct white adipose tissue (WAT) and BAT. The main function of BAT is energy dissipation via nonshivering thermogenesis, which is enabled by the presence of uncoupling protein (UCP1) in the inner mitochondrial membrane.

In humans and in mice, seasonal or experimental CE induces an epigenetic programming of the sperm such that the offspring harbor hyperactive BAT and an improved adaptation to overnutrition and hypothermia.

BAT variability

We performed a retrospective study of FDG-PET/CT scans from 2007–2015 that were collected from the University Hospital of Zurich (n = 8,440 individuals). Individuals with active BAT were 3.2% more likely to have been conceived in the colder period of the year, for example, between October and February (mean temperature estimate 2° C), whereas individuals without active BAT were more likely to have been conceived in the warmer months, for example, between April and September (mean temperature estimate 13° C).”


The study provided another example of how stressful experiences of parents – even those before offspring conception – affected their offspring.

Edit 8/13/2018: I substituted the authors’ corrected graphic where the calendar month started with April vs. January.

A review of this study was made in The imperative of human transgenerational studies.

https://www.nature.com/articles/s41591-018-0102-y “Cold-induced epigenetic programming of the sperm enhances brown adipose tissue activity in the offspring” (not freely available)

A mid-year selection of epigenetic topics

Here are the most popular of the 65 posts I’ve made so far in 2018, starting from the earliest:

The pain societies instill into children

DNA methylation and childhood adversity

Epigenetic mechanisms of muscle memory

Sex-specific impacts of childhood trauma

Sleep and adult brain neurogenesis

This dietary supplement is better for depression symptoms than placebo

The epigenetic clock theory of aging

A flying human tethered to a monkey

Immune memory in the brain

The lack of oxygen’s epigenetic effects on a fetus

Transgenerational epigenetic effects of maternal obesity during pregnancy

This 2018 Belgian review subject was in part the transgenerational epigenetic effects of maternal obesity during pregnancy. The subject was tailored for the journal in which it appeared, Atherosclerosis, so other transgenerationally inherited epigenetic effects weren’t reviewed:

“The transgenerational impact of these alterations in methylation patterns are only shown in animal studies with HFD [high-fat diet] animals. In this respect the paternal influence also comes forward.

Alterations in methylation at the spermatozoa of male rats fed with a HFD were shown in combination with transgenerational metabolic effects, mainly on the female offspring. Methylation alterations in spermatozoa were also found in the male offspring of dams fed with HFD during their pregnancy. Consequent effects on the phenotype were again only shown in female offspring (until third generation).

A transgenerational inheritance through the female germline by mitochondrial inheritance has been suggested. A recent, small study in humans found altered mitochondrial functioning in the male offspring of overweight woman. A finding that has been confirmed in mice studies with a persistence of this transfer of aberrant oocyte mitochondria into the third generation.

The identification of a number of alterations in active cardiovascular microRNA species in the offspring of animals with obesity offer promising perspectives for the future.”

Evidence for transgenerational aspects of in utero programming included two studies I hadn’t previously curated:

  1. https://www.cell.com/cell-reports/fulltext/S2211-1247(16)30663-5 “Maternal Metabolic Syndrome Programs Mitochondrial Dysfunction via Germline Changes across Three Generations” (2016)
  2. https://www.sciencedirect.com/science/article/pii/S221287781500232X “High-fat diet reprograms the epigenome of rat spermatozoa and transgenerationally affects metabolism of the offspring” (2016)

https://www.atherosclerosis-journal.com/article/S0021-9150(18)30328-9/fulltextIn utero programming and early detection of cardiovascular disease in the offspring of mothers with obesity”