Plasmalogens Week #2 – Childhood Development

Continuing Plasmalogens Week with three 2025 papers, starting with a human study of plasmalogens’ effects of decreasing breastfed infants’ infections and inflammation:

“Mothers reported on breastfeeding and infant infections in questionnaires collected at 1 month, 3 months, 6 months, 12 months, and 18 months post-birth. Parent-reported infection burden was defined as the total number of infant respiratory tract infections, gastroenteritis, conjunctivitis, and acute otitis media episodes reported by mothers between birth and 6 months for 6-month analyses, and between birth and 12 months for 12-month analyses.

We constructed a causal mediation model to estimate the proportion of effects explained by a direct effect of breastfeeding on inflammation, measured via glycoprotein acetyls (GlycA)—the average direct effect (ADE)—and the proportion that was mediated by metabolomic biomarkers/lipid—the average causal mediation effect (ACME).

Breastfeeding is negatively associated with GlycA, positively associated with plasmalogens, and plasmalogens are negatively associated with GlycA. However, the positive association between breastfeeding and plasmalogens is stronger than the negative direct association between breastfeeding and inflammation, resulting in an ACME that exceeds the total effect. This pattern indicates that plasmalogens may play a dominant role in mediating the relationship between breastfeeding and systemic inflammation.

We have recently developed a plasmalogen score that is associated with a range of cardiometabolic outcomes, including type 2 diabetes and CVD.

  • At 6 months, the plasmalogen score was estimated to mediate 162% of the total effect (proportion mediated: 1.62, i.e. average causal mediation effect (ACME) to total effect ratio of 1.62, resulting in a percentage > 100%) of breastfeeding on GlycA.
  • At 12 months, the plasmalogen score mediated an estimated 75% of the total effect of breastfeeding on GlycA.

Any breastfeeding, regardless of supplementary feeding, was associated with lower inflammation, fewer infections, and significant, potentially beneficial changes in metabolomic and lipidomic markers, particularly plasmalogens. There was evidence of bidirectional mediation: metabolomic biomarkers and lipids mediated breastfeeding’s effects on inflammation, while inflammation partly mediated breastfeeding’s impact on certain metabolites and lipids.”

https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-025-04343-0 “The protective effect of breastfeeding on infant inflammation: a mediation analysis of the plasma lipidome and metabolome”

Reference 48 was the 2024 plasmalogen score study.


A second study by many of the first study’s researchers used the same cohort as the first study to investigate effects of maternal obesity on infant obesity:

“We aimed to investigate associations between maternal pre-pregnancy body mass index (pp-BMI), lipidomic profiles of mothers, human milk, and infants, and early life growth. We were particularly interested in ether lipids as they are higher in breastfed infants compared to formula-fed infants, are enriched in human milk compared to infant formula, and are involved in metabolic health and inflammation in adult populations.

Maternal plasmalogen score was negatively associated with pp-BMI and positively associated with plasmalogens in human milk and infant plasmalogen scores from birth to four years of age. We were unable to establish clear links between plasmalogen score and infant BMI within the first 4 years.

These findings position plasmalogens and ether lipids as potential biomarkers or intervention targets for reducing transmission of obesity from mother to infant. Optimising lipid profiles through reducing maternal pp-BMI and dietary or supplemental ether lipids may represent a novel strategy for mitigating early-life obesity risk.”

https://www.researchsquare.com/article/rs-7089146/v1 “Maternal BMI and infant obesity risk: a lipidomics perspective on the developmental origins of obesity”

There was a lot of hand waving and weasel-wording (i.e., could, may, potential, associated with) but little causal evidence in this preprint. Reference 42 was the preprint version of the first study.


A third paper investigated 9- to 12-year-olds’ plasmalogen levels and molecular types:

“The importance of plasmalogens (Pls) in several cellular processes is known, one of which is their protective effect against oxidative damage. The physiological role of Pls in human development has not been elucidated. This study is the first report on plasmalogen levels and molecular types in children’s plasma.

Ethanolamine plasmalogen (PlsEtn 16:0/20:5) and choline plasmalogen (PlsCho 16:0/20:5), both carrying eicosapentaenoic acid (EPA, ω-3), were significantly lower in girls than in boys. There was no significant difference observed among the 9, 10, 11, and 12-year-old groups between girls and boys in their levels of PlsEtn 16:0/20:5. However, a significant decrease in the levels of PlsCho 16:0/20:5 was observed for 9, 10 and 12-year-old groups of girls compared to boys.

  • In both sexes, the plasmalogen levels for the 12-year-old children were lower than those for the 9-year-old children.
  • PlsCho (16:0/18:2) linoleic acid (ω-6)-derived was lower in the overweight children than in the normal-weight children for both sexes.
  • Arachidonic acid (ω-6)-containing PlsEtn (18:0/20:4) was the most abundant ethanolamine-type plasmalogen in both sexes.

This study has many limitations as follows:

  1. Non-fasting plasma samples were collected from the children’s plasma and used for analysis; since diet can influence Pls levels, the result may be affected by the sample collection method.
  2. Physical activity was also not monitored, which could have an influence on plasma levels, and
  3. A limited number of plasmalogen molecular species were quantified in this study.

A follow-up study may be essential to determine the plasma Pls in the same population when they are adolescents.”

https://www.mdpi.com/2075-4418/15/6/743 “Application of Liquid Chromatography/Tandem Mass Spectrometry for Quantitative Analysis of Plasmalogens in Preadolescent Children—The Hokkaido Study”


Plasmalogens Week #1 – Overview

It’s been a while since I curated plasmalogen papers. Let’s start out a week’s worth of 2025 papers with a review of plasmalogens as biomarkers:

“Reduced levels of plasmalogens in circulation or in cell membranes are associated with rare peroxisomal disorders, systemic disease, neurological impairment, cancer, and diseases of the heart, kidney, and liver. Roles for plasmalogens have been identified in lipid rafts, myelin, chlorolipids, bromolipids, hemostasis, cholesterol metabolism, and redox responses.

Plasmalogens account for approximately 5-20% of the phospholipids in mammalian cell membranes. Circulating choline and ethanolamine are incorporated into lipid membranes through the synthesis of plasmalogens. These lipids are formed through a separate multistep process involving precursors in the cytoplasm, peroxisome, and endoplasmic reticulum.

Cytochrome c (cyt-c) typically serves as an electron carrier in the mitochondrial membrane, but under oxidative stress, cyt-c undergoes a conformational alteration conferring peroxidase activity that cleaves the vinyl-ether linkage in plasmalogens. Plasmalogens may act as precursors to platelet-activating factor (PAF), and PAF can be enzymatically converted to plasmalogens. PAF is a potent pro-inflammatory mediator in cancer, cardiovascular, neurological, chronic and infectious disease, suggesting that increased PAF levels may inversely correspond to lower ethanolamine plasmalogen levels identified in human diseases.

Plasmalogens are abundant in myelin, and crucial to the function of central nervous system oligodendrocytes and peripheral nervous system Schwann cells in supporting neuronal action potential.

Catabolism of plasmalogens occurs in response to oxidative stress and activation of TLRs, which promote pro-inflammatory responses during disease progression. Release of fatty acids (e.g., arachidonic acid, eicosapentaenoic acid, docosahexaenoic acid) during plasmalogen catabolism can either exacerbate or resolve pro-inflammatory and thrombotic responses depending on the type of fatty acid released and mediator produced.

Continued research of the types of plasmalogens and plasmalogen precursors and their natural or synthetic sources, the frequency and amount of plasmalogens administered, the route of administration, and the timing of treatment is needed.”

https://www.jlr.org/article/S0022-2275(25)00188-9/fulltext “Plasmalogens as biomarkers and therapeutic targets”


A second review highlighted various strategies for regulating plasmalogen levels:

“Plasmalogens serve as significant structural components of cellular membranes, particularly enriched in tissues with high membrane trafficking. Plasmalogens are recognized as major reservoirs for polyunsaturated fatty acids (PUFAs), notably docosahexaenoic acid (DHA) and arachidonic acid (AA). Incorporation of these PUFAs influences membrane physical properties, including fluidity and the propensity to form non-lamellar structures.

Effective delivery of plasmalogens or their precursors faces significant hurdles, including chemical instability (especially oxidation of the vinyl-ether bond), low oral bioavailability, and challenges in crossing biological barriers like the blood–brain barrier (BBB). Exploration of plasmalogen-based nanoparticles is currently quite limited.”

https://faseb.onlinelibrary.wiley.com/doi/10.1096/fba.2025-00010 “Plasmalogen as a Bioactive Lipid Drug: From Preclinical Research Challenges to Opportunities in Nanomedicine”

Yeah, no. Everything the public was told about lipid nanoparticles this decade was propaganda in service of an agenda. The real stories are gathered in papers I haven’t curated, such as Lipid Nanoparticles as Active Biointerfaces: From Membrane Interaction to Systemic Dysregulation.


Maternal intake of broccoli sprouts transfers to the fetus and infant

A 2025 human study investigated placental and breast milk sulforaphane content:

“Uncomplicated pregnant patients (n = 8) scheduled for elective caesarean sections (>37 weeks gestation) provided written and informed consent. A single oral dose of EnduraCell, a broccoli sprout extract (equivalent to 21 mg of sulforaphane), was administered prior to caesarean section. Baseline blood pressure, blood and urine were collected and again at time of operation, alongside umbilical cord blood (vein and artery) and placental samples.

2–4 days post-delivery, a second dose was administered. Two hours later, maternal bloods and breast milk were collected.

Unlike in the maternal circulation, sulforaphane levels did not show an obvious peak at the 2–3 h timepoint in the fetal umbilical vein serum and plasma or the umbilical artery serum and plasma.

A linear regression indicated that the percentage of fetal sulforaphane relative to the maternal concentration increased over time, showing progressive transfer from maternal to fetal circulation.

This is the first study to demonstrate the successful maternal-fetal transfer of sulforaphane through the placenta and into breast milk following exposure to a broccoli sprout extract during and after pregnancy. No adverse events or outcomes were reported from any of the participants, supporting the reassuring safety profile of an acute exposure to a broccoli sprout extract in pregnancy.

https://www.sciencedirect.com/science/article/pii/S0143400425006964 “Assessing the transplacental passage and breastmilk levels of broccoli sprout-derived sulforaphane”


1. These researchers incorrectly termed a commercially available broccoli sprout powder as an extract. Grinding up broccoli sprouts produces a different product than does processing broccoli seeds or sprouts using solvents into extracts.

2. They asserted the broccoli sprout powder was a 21 mg sulforaphane dose. A more realistic explanation should have been provided, since:

  • No sulforaphane measurements were taken to back their assertion, which is understandable because the powder contained glucoraphanin, sulforaphane’s precursor, and sulforaphane wouldn’t be expected to be found in the powder; and
  • Conversion of broccoli spout powder to sulforaphane would be dependent on each subject’s gut microbiota, which is different for each individual.

Here’s what How long does sulforaphane keep? said for the same broccoli sprout powder product:

“Per the manufacturer, each capsule contained 700 mg of 100% whole broccoli sprout powder, including active myrosinase and 21 mg of glucoraphanin, which upon full conversion to SFN would yield ∼8 mg, equaling ∼24 mg of SFN total per three-capsule dose. We note that full conversion to SFN, even with active myrosinase in the supplement, is not expected.”

3. Characterizing this minimal dose as “an acute exposure” mixed up its meaning with the common meaning of acute – “extremely sharp or severe; intense.”

4. Someday, researchers will be interested and forward-thinking enough about their field to plan ahead and investigate occurrences such as why both the highest and lowest maternal blood sulforaphane content didn’t translate into correspondingly ranked umbilical cord blood sulforaphane content.

5. Since blood contains up to 18,000 compounds, I don’t see where any other maternal blood compound wouldn’t pass to the fetus, unless it is definitively shown that the placenta specifically blocks it. It’s time to discard and disclaim any “safe and effective” propaganda with respect to pregnant women and breastfeeding mothers.

I found this study by it citing Eat broccoli sprouts for longevity.

Get a little stress into your life, Part 2

A 2025 reply to a letter to the editor cited 56 references to elaborate on Part 1 and related topics:

“A positive effect does not necessarily mean benefit, and positive effects on individual organisms may mean adverse effects on other coexisting organisms. However, a vast literature shows that hormetic stimulation can result in benefits depending on the context, for instance, clear growth, yield, and survival improvement.

There is some energetic cost to support hormetic stimulation, with a likely positive energy budget, which might also have negative consequences if there is insufficient energy substrate, especially under concurrent severe environmental challenges. Moreover, hormetic preconditioning could be particularly costly when there is a mismatch between the predicted environment and the actual environment the same individuals or their offspring might face in the future.

Hormesis should not be unilaterally linked to positive and beneficial effects without considering dose levels. For any research to answer the question of whether a stimulation represents hormesis and whether it is beneficial, robust dose–response evaluations are needed, which should be designed a priori for this purpose, meeting the requirements of the proper number, increment, and range of doses.

Both additivity and synergism are possible in the hormetic stimulatory zone, depending also on the duration of exposure and the relative ratio of different components. This might happen, for example, when a chemical primes stress pathways (e.g., heat shock proteins and antioxidants), thus enabling another chemical to trigger hormesis (defense cross-activation) and/or because combined low subtoxicity may modulate receptors (e.g., aryl hydrocarbon receptor and nuclear factor erythroid 2-related factor 2) differently than individual exposures (receptor binding synergy).

Moreover, even when stimulation occurs in the presence of individual components, stimulation may no longer be present when combined, and therefore, effects of mixtures cannot be accurately predicted based on the effects of individual components. There may be hormesis trade-offs; hormesis should be judged based on fitness-critical end points.

While often modeled mathematically, hormesis is fundamentally a dynamic biological process and should not be seen as a purely mathematical function, certainly not a linear one. Much remains to be learned about the role of hormesis in global environmental change, and an open mind is needed to not miss the forest for the trees.”

https://pubs.acs.org/doi/10.1021/acs.est.5c05892 “Correspondence on ‘Hormesis as a Hidden Hand in Global Environmental Change?’ A Reply”


Reference 38 was a 2024 paper cited for:

“Hormetic-based interventions, particularly priming (or preconditioning), do not weaken organisms but strengthen them, enhancing their performance and health under different environmental challenges, which are often more massive than the priming exposure.

The catabolic aspect of hormesis is primarily protective whereas the anabolic aspect promotes growth, and their integration could optimize performance and health. The concept of preconditioning has also gained widespread attention in biomedical sciences.”

https://www.sciencedirect.com/science/article/abs/pii/S1568163724004069 “The catabolic – anabolic cycling hormesis model of health and resilience” (not freely available)


Reference 40 was a 2021 review that characterized hormesis as a hallmark of health:

“Health is usually defined as the absence of pathology. Here, we endeavor to define health as a compendium of organizational and dynamic features that maintain physiology.

Biological causes or hallmarks of health include features of:

  • Spatial compartmentalization (integrity of barriers and containment of local perturbations),
  • Maintenance of homeostasis over time (recycling and turnover, integration of circuitries, and rhythmic oscillations), and
  • An array of adequate responses to stress (homeostatic resilience, hormetic regulation, and repair and regeneration).

Disruption of any of these interlocked features is broadly pathogenic, causing an acute or progressive derailment of the system.

A future ‘medicine of health’ might detect perilous trajectories to intercept them by targeted interventions well before the traditional ‘medicine of disease’ comes into action.”

https://www.sciencedirect.com/science/article/pii/S0092867420316068 “Hallmarks of Health”


Nrf2 activators and transcriptomic clocks

Two preprint studies looked at making transcriptional aging clocks using Nrf2 activators. Let’s start with a 2025 nematode study that used constant exposure to sulforaphane at different concentrations:

“To explore the potential of sulforaphane as a candidate natural compound for promoting longevity more generally, we tested the dose and age-specific effects of sulforaphane on C. elegans longevity, finding that it can extend lifespan by more than 50% at the most efficacious doses, but that treatment must be initiated early in life to be effective. We then created a novel, gene-specific, transcriptional aging clock, which demonstrated that sulforaphane-treated individuals exhibited a “transcriptional age” that was approximately four days younger than age-matched controls, representing a nearly 20% reduction in biological age.

The clearest transcriptional responses were detoxification pathways, which, together with the shape of the dose-response curve, indicates a likely hormetic response to sulforaphane. The hormetic, stress-pathway inducing properties of sulforaphane may indicate that many beneficial dietary supplements work in a fairly generic fashion as mild toxins rather than being driven by the biochemical properties of the compounds themselves (e.g., as antioxidants).

These results support the idea that robust longevity-extending interventions can act via global effects across the organism, as revealed by systems level changes in gene expression.”

https://www.biorxiv.org/content/10.1101/2025.05.11.653363v1 “The broccoli derivative sulforaphane extends lifespan by slowing the transcriptional aging clock”

There are difficulties in researchers translating nematode studies to mammals and humans. Nematodes lack a homolog to the Keap1 protein, which is sulforaphane’s main mammalian target to activate Nrf2.


A 2024 study developed various mammalian epigenetic clocks:

“A unified transcriptomic model of mortality that encompasses both aging and various models of lifespan-shortening and longevity interventions (i.e., mortality clocks) has been lacking. We conducted an RNA-seq analysis of mice subjected to 20 compound treatments in the Interventions Testing Program (ITP).

We sequenced the transcriptomes of a large cohort of ITP mice subjected to various neutral and longevity interventions, expanded the dataset with publicly available gene expression data representing organs of mice and rats across various strains and lifespan-regulating interventions, connected these models with survival data, and performed a meta-analysis of aggregated 4,539 rodent samples, which allowed us to identify multi-tissue transcriptomic signatures of aging, mortality rate, and maximum lifespan.

Aging and mortality were characterized by upregulation of genes involved in inflammation, complement cascade, apoptosis, and p53 pathway, while oxidative phosphorylation, fatty acid metabolism, and mitochondrial translation were negatively associated with mortality, both before and after adjustment for age.

Utilizing the aggregated dataset, we developed rodent multi-tissue transcriptomic clocks of chronological age, lifespan-adjusted age, and mortality. While the chronological clock could distinguish the effect of detrimental genetic and dietary models, it did not show a decrease in biological age in response to longevity interventions. In contrast, clocks of lifespan-adjusted age and mortality both captured aging-associated dynamics and correctly predicted the effect of lifespan-shortening and extending interventions.

Transcriptomic biomarkers developed in this study provide an opportunity to identify interventions promoting or counteracting molecular mechanisms of mortality, and characterize specific targets associated with their effects at the level of cell types, intracellular functional components, and individual genes. Our study underscores the complexity of aging and mortality mechanisms, the interplay between various processes involved, and the clear potential for developing therapies to extend healthspan and lifespan.”

https://www.biorxiv.org/content/10.1101/2024.07.04.601982v1.full “Transcriptomic Hallmarks of Mortality Reveal Universal and Specific Mechanisms of Aging, Chronic Disease, and Rejuvenation”


This second study’s references included an ITP study curated in Astaxanthin and aging, which stated:

“Despite the fact that the average diet contained 1840 ppm astaxanthin (only 46% of the target), median lifespans of male UM-HET3 mice were significantly improved. Amounts of dimethyl fumarate (DMF) in the diet averaged 35% of the target dose, which may explain the absence of lifespan effects.”

So screw-ups in making both astaxanthin and DMF mouse chows ended up with study data that didn’t measure the full lifespan impacts of activating transcription factor Nrf2. I’ll assert that such faulty data may have deviated this second study by downplaying Nrf2 activation’s impact on aging, chronic disease, and rejuvenation.

Sponsors may be less likely to be presented sulforaphane and other Nrf2 activator candidates for future aging and chronic disease studies as this first study suggests, thinking that these have already been studied in mammals. Well, maybe these compounds haven’t been accurately studied. There’s no effective way to fix a rodent study’s missing DMF Nrf2 data and faulty astaxanthin Nrf2 data to train an epigenetic clock in this second study.

I could be wrong about this second study using faulty astaxanthin Nrf2 data. It was cited as Reference 27 in the Introduction as an ITP study, but not specifically cited in the Method section. I don’t know how findings such as one of Nrf2’s target genes (“Remarkably, one of the top genes positively associated with maximum lifespan and negatively associated with chronological age and expected mortality was Gpx1, encoding the selenoprotein glutathione peroxidase 1″) and a Nrf2 specific pathway (Phase II) (“Pathways positively associated with lifespan and negatively with mortality, both before and after adjustment for age, included..xenobiotic metabolism..”) were made without Reference 27. Neither of the above studies has been peer reviewed yet.


The third phase of reversing aging and immunosenescent trends

Here’s a 2025 interview with Dr. Greg Fahy:

“We found that we could statistically demonstrate thymic regeneration morphologically on single individuals at single time points. MRI changes really are detecting shifts from the fatty tissue infiltration state of the involuted thymus to the regenerated thymus with functional thymic epithelial cells.

When you go through puberty your thymus involutes so you don’t have much left even when you’re 40. Essentially the process consists of loss of functional thymic mass and replacement of that functional thymic mass with adipose tissue, that’s what thymic involution is. It continues throughout life, but you retain a small amount of functional thymic mass all the way out to the age of 107.

The function of the thymus is to essentially manufacture half of your immune system. You have precursor cells arise from the bone marrow. They either go into the meiotic lineage and turn into the innate immune system, or you have the lymphocytic cells for what turns into T cells that enter the thymus and are educated in the thymus to grow up into newborn T cells and they’re released into the bloodstream.

The thymus has two jobs. It manufactures these lovely T cells without which you die but it also has a secondary finishing school. In the thymus cortex you manufacture all these lovely T cells but in the thymus medulla the T cells go to the medulla and if they don’t pass the second examination that they have to pass before they release into the body they’re all killed off. That second examination is: Do you reject self? As we get older, the thymus weakens in both the functions of making the T cells and screening out the ones that attack self. It stands to reason as we get older and the thymus’ influence wanes, we’re going to get more autoimmune disorders.

It took people a while to catch on to the fact that this involution problem is really a significant issue because the T cells that you made when you were 12, and even 20 and 40, they’re probably lasting until you’re 60. But at some point they don’t get replaced as fast as they’re going out of existence, and then your immune system goes off the cliff. Between the ages of 62 and 78 you lose 98% of your ability to recognize foreign antigens, and you still have a lot of capacity left.

We had nine guys in the first trial. Second trial we had 18 men 6 women and 2 controls that happen to be contemporaneous with that group. We have some more controls now that are either finished or or nearing completion. The second population was older than the first population by about nine years, but based on the epigenetic clocks that we looked at, they were starting off biologically younger.

On this last data analysis for Triim XA we looked at 21 different aging clocks. One aspect of the noise that we’re talking about is that biological aging as measured by some of these clocks is circadian. If you measure your age at 4:00 a.m. versus 11:00 a.m. you’re going to get a different result. It’s dynamic and there’s a trend and over time you change in a certain direction, but over any short period of time you can bounce around a little bit. The clocks predict your probability of cognitive dysfunction, they predict your probability of having impairments in your daily life, and they also predict your mortality.

We’re pretty much wrapping up that second clinical trial and going into the third. As we look at more data we understand more and more things and we see more and more things that we previously were not aware of. We began to look at a phenomena that may be responsible for limiting the magnitude of responses that we’re seeing limiting the aging reversal.

Triim-XD which is the next flavor of Triim-X is going to be looking at shifting biochemical pathways in such a way that it optimizes effects of these three medications that we’re giving people [human growth hormone, DHEA, and metformin] and prevents contradictions between them and prevents side effects of each one of these things. That’s about all I can tell you right now.”


Charts regarding the discussed item of how long effects may last are covered in The next phase of reversing aging and immunosenescent trends which was the last time I curated this research effort.


Failed aging paradigms

A 2024 paper with 81 coauthors presented different views of aging:

“This article highlights the lack of consensus among aging researchers on fundamental questions such as the definition, causes, and onset of aging as well as the nature of rejuvenation. Our survey revealed broad disagreement and no majority opinion on these issues.

We obtained 103 responses (∼20% of which were submitted anonymously). The respondents included 29.8% professors, 25% postdoctoral fellows, 22.1% graduate students, 13.5% industry professionals, and 9.6% representing other categories (a total of eight additional groups).

When does aging begin? At 20 years (22%), gastrulation (18%), conception (16.5%), gametogenesis (13%), 25 years (11%), birth (8%), 13 years (5%), and 9 years (4%). Nobody chose the only remaining option (30 years).

m_pgae499f3

It is clear from responses that aging remains an unsolved problem in biology. While most scientists think they understand the nature of aging, apparently their understanding differs. Where some may stress the importance of targeting underlying mechanisms, others focus on ameliorating the phenotypes.”

https://academic.oup.com/pnasnexus/article/3/12/pgae499/7913315?login=false “Disagreement on foundational principles of biological aging”


I’ll assert that these researchers were unable to incorporate information outside of their chosen paradigm. This would explain why only 18% understood the embryonic stage of gastrulation as aging’s start, although the 2022 paper Epigenetic profiling and incidence of disrupted development point to gastrulation as aging ground zero in Xenopus laevis provided epigenetic clock evidence that:

“It is not birth, marriage, or death, but gastrulation which is truly the most important time in your life.”


I’ve cited Josh Mitteldorf’s work about aging a few times. His paradigm of aging is in his 2017 book Cracking the Aging Code: The New Science of Growing Old – And What It Means for Staying Young that:

“Aging has an evolutionary purpose: to stabilize populations and ecosystems.”

However, there isn’t evidence of such causal inheritance mechanisms that would begin an organism’s aging during embryogenesis, i.e., that an embryo’s development of aging elements at gastrulation is causally affected by population and ecosystem factors.


Dr. Goodenowe recently had a casual conversation Episode 8 – Perpetual Health, Exploring The Science Behind Immortality where he asserted items such as:

“What we’re all fighting is entropy. Entropy is the tendency of all things to reach a level of randomness. Aging is not a disease. It’s just apathy and entropy. The body just doesn’t care – people don’t pay attention.

This notion that we are programmed for death is wrong. We’re not programmed to die. We actually teach ourselves to die. The body learns how to die, so as your function decreases, it adjusts. It appears to be programmed because of the association with chronological age.”

I haven’t seen any of his papers that put these and his other assertions up for review. For example, I doubt the entropy-caused randomness assertion would survive peer review per Stochastic methylation clocks?:

“Entropic theories of aging have never been coherent, but they are nevertheless experiencing a resurgence in recent years, primarily because neo-Darwinist theories of aging are all failing. I find this ironic, because the neo-Darwinist theories arose precisely because scientists realized that the Second Law of Thermodynamics does not apply to living systems.”


The funny thing about failed aging paradigms is that quite a few of their treatments improve healthspan, but not lifespan. If they don’t “target aging underlying mechanisms” they “ameliorate aging phenotypes.” None so far have positively affected both human healthspan and lifespan.

PXL_20241129_174732711.MP~2

How to choose your medical professional

Two+ decades ago (before smart phones) I wrote a series of short books entitled How To Choose Your  Lawyer, ..Accountant, ..Financial Advisor. My customers were mainly public libraries.

This is a short post on choosing doctors, although I’ve fired all my doctors and don’t have one. Everything that’s happened this decade has made me wonder why I trusted doctors in the first place.

1. It takes certain behavioral quirks for doctors to assert they know better than you do about what is good for you. These behaviors usually have nothing to do with these doctors’ patients, but patients somehow believe doctors.

These behaviors are almost always doctors’ act-outs of early-life traumas of unfulfilled needs. Pain keeps people from feeling their actual histories, though, so we don’t deal with our real histories therapeutically until we absolutely have to.

If your doctor listens to you at all, it’s only because they are constantly vigilant for some way to fulfill their own unsatisfied needs. But that neither resolves anything for them, as an early need can’t be satisfied years later, nor has anything to do with what you need from a medical professional.

2. If you’ve read extensively about an area and have questions, a doctor may know less than you. That won’t keep them from gaslighting you due to 1. above, but it does keep you from getting what you need from them. Discussing facts you know with a medical professional who is intentionally ignorant about a medical subject gets you nowhere.

3. If your doctor has not publicly disclaimed their advocacy of this decade’s misguided genetic therapy, they are compromised and can’t be trusted. It doesn’t matter what else they said, because they weren’t honest about what they knew or should have known, as revealed by their actions or inactions.

For example, two studies published in June 2024 established that:

  • Neurologic issues (68% increase in depression, and a 44% increase in anxiety / dissociative / stress-related / somatoform disorders) followed COVID gene therapy: https://www.nature.com/articles/s41380-024-02627-0 “Psychiatric adverse events following COVID-19 vaccination: a population-based cohort study in Seoul, South Korea” (2,027,353 people)
  • COVID gene therapy increased the risk of mild cognitive impairment 138% and the risk of Alzheimer’s by 23%: https://academic.oup.com/qjmed/advance-article-abstract/doi/10.1093/qjmed/hcae103/7684274 “A potential association between COVID-19 vaccination and development of Alzheimer’s disease” (558,017 people). These graphics showed rapidly increasing MCI and AD incidences. The study’s analysis showed incidence increases could not have happened by chance.

ea3f75cb-a071-4cc9-9bd8-0609d0ad8961_1466x890

A doctor’s only honest response to this malfeasance is to publicly apologize, and tell their trusting patients they will make it up to them by providing free healthcare to help mitigate results of their unprofessional conduct. If they tell you something else, it’s a distraction from consequences that are beyond words.

Consequences of perinatal stress

A 2024 rodent study followed up earlier studies of perinatal stress:

“Stress is a multisystemic and multiscale reaction experienced by living beings in response to a wide range of stimuli, encompassing a highly complex order of biological and behavioral responses in mammals, including humans. In the present study, we evaluated changes in mRNA levels in 88 regions of interest (ROIs) in male rats both exposed to perinatal stress and not exposed.

Depending on critical life stage (e.g., perinatal life, infancy, childhood, adolescence, aging), duration, and type of stressor, different effects can be detected by examining behavioral and physiological functions. Stress is related to several cognitive processes, including spatial and declarative memory (involving the hippocampus), fear and memories of emotionally charged events (involving the amygdala), and executive functions and fear extinction (involving the prefrontal cortex).

This PRS paradigm is a well-characterized animal model in which offspring is exposed to stress during pregnancy and after birth because of receiving defective maternal care. Offspring exhibit behavioral hyperreactivity, as well as increased susceptibility to drug addiction and decreased risk-taking behavior.

Starting from day 11 of gestation until delivery, pregnant females were subjected to restraint in a transparent plastic cylinder and exposed to bright light during three daily sessions of 45 min. Since gestational stress induces a <40% reduction of maternal behavior in stressed mothers, we refer to the whole procedure as Perinatal Stress.

Intercorrelation between the orbitofrontal cortex (OFC) and various brain regions such as the thalamus and amygdala were found disrupted in the PRS group. These functional correlations appear to be associated with regulation of executive functions, goal-directed behavior, and directed attention. Also, discrete functional links between the OFC and limbic regions and striatum were lost in the PRS group.

Decreased expression of the Homer1a gene across multiple brain regions after perinatal stress exposure may derange normal architecture of glutamatergic synapses during neurodevelopment and after birth. Changes at the glutamatergic synapse have been considered pivotal in adaptive stress behaviors.

Our results show that PRS preferentially reinforces the centrality of subcortical nodes, resulting in increased centrality of structures such as amygdala, caudate-putamen, and nucleus accumbens, suggestive of reduced cortical control over these regions. In conclusion, when analyzing Homer gene expression after stress exposure not only in terms of quantitative changes compared to the control group, but also as a basis for conducting brain connectivity graph analysis, we observed that perinatal stress could significantly affect the functional connectivity of brain regions implicated in modeling pathophysiology of severe psychiatric disorders.”

https://www.sciencedirect.com/science/article/pii/S0278584624001003 “Perinatal stress modulates glutamatergic functional connectivity: A post-synaptic density immediate early gene-based network analysis”


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Maintaining your myelin, Part 1

Three papers on myelin and oligodendrocytes, starting with a 2023 review:

“Myelin is the spiral ensheathment of axons by a lipid and cholesterol-rich glial cell membrane that reduces capacitance and increases resistance of the axonal membrane. Axonal myelination speeds up nerve conduction velocity as a function of axon diameter.

While myelination proceeds rapidly after birth in the peripheral nervous system, central myelination is a spatially and temporally more regulated process. Ongoing myelination of the human brain has been documented at up to 40 years of age. This late myelination in the adult cortex is followed by exhaustion of oligodendrocyte precursor cells (OPC) with senescence and a gradual loss of myelin integrity in the aging brain.

The brain is well known for its high energy demands, specifically in gray matter areas. In white matter tracts, energy consumption is lower. Myelination poses a unique challenge for axonal energy generation where myelin sheaths cover more than 95% of the axonal surface areas.

Oligodendrocytes help support axonal integrity. Oligodendrocytes survive well in the absence of mitochondrial oxidative phosphorylation, and without signs of myelin loss, cell death, neurodegeneration or secondary inflammation.

Glycolysis products of oligodendroglial origin are readily metabolized in axonal mitochondria. Oligodendroglial metabolic support is critical for larger and faster-spiking myelinated axons that also have a higher density of mitochondria. An essential requirement for the direct transfer of energy-rich metabolites from oligodendrocytes to the myelinated axonal compartment is ‘myelinic channels’ within the myelin sheath.

Interactions of oligodendrocytes and myelin with the underlying axon are complex and exceed the transfer of energy-rich metabolites. Continuous turnover of myelin membranes by lipid degradation and fatty acid beta-oxidation in mitochondria and peroxisomes leads to recycling of acetate residues by fatty acid synthesis and membrane biogenesis.

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In human multiple sclerosis (MS) and its animal model myelin oligodendrocyte glycoprotein-experimental autoimmune encephalomyelitis (MOG-EAE), acute inflammatory demyelination is followed by axonal degeneration in lesion sites that is mechanistically not fully understood. It is widely thought that demyelination and the lack of an axon-protective myelin sheath in the presence of numerous inflammatory mediators are the main causes of axon loss.

But unprotected axons improve rather than worsen the overall clinical phenotype of EAE mice which exhibited the same degree of autoimmunity. Thus, ‘bad myelin is worse than no myelin’ because MS-relevant myelin injuries perturb the integrity of myelinic channels and metabolic support.

Dysfunctional or injured oligodendrocytes that do not allow for compensation by any other cell types turn the affected myelin ensheathment into a burden of the underlying axonal energy metabolism, which causes irreversible axon loss. Any loss of myelin integrity, as seen acutely in demyelinating disorders or more gradually in the aging brain, becomes a risk factor for irreversible neurodegeneration.”

https://www.sciencedirect.com/science/article/pii/S0959438823001071 “Expanding the function of oligodendrocytes to brain energy metabolism”


A 2024 review focused on myelin and oligodendrocyte plasticity:

“This review summarizes our current understanding of how myelin is generated, how its function is dynamically regulated, and how oligodendrocytes support the long-term integrity of myelinated axons.

Apart from its unique ultrastructure, there are several other exceptional features of myelin. One is certainly its molecular composition. Another is its extraordinary stability. This was compellingly illustrated when 5000-year-old myelin with almost intact ultrastructure was dissected from a Tyrolean Ice Man.

Myelin is a stable system in contrast to most membranes. However, myelin is compartmentalized into structurally and biochemically distinct domains. Noncompacted regions are much more dynamic and metabolically active than tightly compacted regions that lack direct access to the membrane trafficking machinery of oligodendrocytes.

The underlying molecular basis for stability of myelin is likely its lipid composition with high levels of saturated, long chain fatty acids, together with an enrichment of glycosphingolipids (∼20% molar percentage of total lipids) and cholesterol (∼40% of molar percentage of total lipids). In addition, myelin comprises a high proportion of plasmalogens (ether lipids) with saturated long-chain fatty acids. In fact, ∼20% of the fatty acids in myelin have hydrocarbon chains longer than 18 carbon atoms (∼1% in the gray matter) and only ∼6% of the fatty acids are polyunsaturated (∼20% in gray matter).

With maturation of oligodendrocytes, the plasma membrane undergoes major transformations of its structure. Whereas OPCs are covered by a dense layer of large and negatively charged self-repulsive oligosaccharides, compacted myelin of fully matured oligodendrocytes lacks most of these glycoprotein and complex glycolipids.

Schematic depiction of an oligodendrocyte that takes up blood-derived glucose and delivers glycolysis products (pyruvate/lactate) via monocarboxylate transporters (MCT1 and MCT2) to myelinated axons. Oligodendrocytes and myelin membranes are also coupled by gap junctions to astrocytes, and thus indirectly to the blood–brain barrier.

oligodendrocyte

Adaptive myelination refers to dynamic events in oligodendroglia driven by extrinsic factors such as experience or neuronal activity, which subsequently induces changes in circuit structure and function. Understanding how these adaptive changes in neuron-oligodendroglia interactions impact brain function remains a pressing question for the field.

Transient social isolation during adulthood results in chromatin and myelin changes, but does not induce consequent behavioral alterations. When mice undergo a social isolation paradigm during early life development, they similarly exhibit deficits in prefrontal cortex function and myelination, but these deficiencies do not recover with social reintroduction. This implicates a critical period for social deprivation effects on myelin dynamics. Experience-dependent changes in myelin dynamics may depend on not only the age, brain region, and cell type studied, but also the specific myelin structural change assessed.

Local synaptic neurotransmitter release along an axon not only affects the number of OPCs and oligodendrocytes associated with that axon and local synthesis of myelin proteins, but also drives preferential selection of active axons for myelination over the ensheathment of electrically silenced neighboring axons. Neuronal activity–induced plasticity may preferentially impact brain regions that remain incompletely myelinated compared to more fully myelinated tracts.

Whereas the myelin sheath has been regarded for a long time as an inert insulating structure, it has now become clear that myelin is metabolically active with cytoplasmic-rich pathways, myelinic channels, for movement of macromolecules into the periaxonal space. The myelin sheath and its subjacent axon need to be regarded as one functional unit, which are not only morphological but also metabolically coupled.”

https://cshperspectives.cshlp.org/content/early/2024/04/15/cshperspect.a041359 “Oligodendrocytes: Myelination, Plasticity, and Axonal Support” (not freely available) Thanks to Dr. Klaus-Armin Nave for providing a copy.


A 2024 rodent study investigated oligodendrocyte precursor cell transcriptional and epigenetic changes:

“We used single-cell RNA sequencing (scRNA-seq), single-cell ATAC sequencing (scATAC-seq), and single-cell spatial transcriptomics to characterize murine cortical OPCs throughout postnatal life. One group (active, or actOPCs) is metabolically active and enriched in white matter. The second (homeostatic, or hOPCs) is less active, enriched in gray matter, and predicted to derive from actOPCs. Relative to developing OPCs, both actOPCs and hOPCs are less active metabolically and have less open chromatin.

In adulthood, these two groups are transcriptionally but not epigenetically distinct, indicating that they may represent different states of the same OPC population. If that is the case, then one model is that the parenchymal environment maintains adult OPCs within an hOPC state, whereas those OPCs recruited into white matter or exposed to demyelinated axons may transition toward an actOPC state in preparation for making new oligodendrocytes. We do not yet know the functional ramifications of these differences, but this finding has clear implications for the development of therapeutic strategies for adult remyelination.

opcs

Another finding is that developing but not adult actOPC chromatin is preferentially open for binding motifs associated with neural stem cells, transit-amplifying precursors, and neurogenesis. Although this may simply reflect their origin as the immediate progeny of neonatal neural precursor cells, it may also explain why developing but not adult OPCs have the capacity to make neurons in culture.

If we could, at least in part, reverse the global chromatin shutdown that occurs between development and adulthood, then perhaps adult OPCs may reacquire the ability to make neurons or become better able to generate new oligodendrocytes for remyelination.”

https://www.cell.com/stem-cell-reports/fulltext/S2213-6711(24)00077-8 “Single-cell approaches define two groups of mammalian oligodendrocyte precursor cells and their evolution over developmental time”

Continued in Part 2.


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Sulforaphane’s effects on autism and liver disease

Here are two more papers that cited Precondition your defenses with broccoli sprouts, starting with a 2024 human / rodent study investigating gut microbiota / sulforaphane’s effects on autism:

“Sulforaphane (SFN) has been found to alleviate complications linked with several diseases by regulating gut microbiota (GM), while the effect of GM on SFN for autism spectrum disorders (ASD) has not been studied. We evaluated therapeutic effects of SFN on maternal immune activation (MIA)-induced ASD-like rat model and pediatric autism patients aged 4–7 years.

OSU-SO for social interactive OSU behavioral subscores, OSU-CO for non-verbal communicative OSU behavioral [significant] subscores, and OSU-ST for repetitive or ritualistic OSU behavioral subscores:

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Although gut microbiota composition was significantly altered in SFN-treated ASD-like rats, alteration of GM was not evident in ASD patients after 12 weeks of SFN treatment. Limitations in this study:

  1. Studies were conducted in male rats and boys only;
  2. The sample size of our clinical study is relatively small [6 SFN-treated boys] and needs to be further expanded in the future; and
  3. This study only uncovered a potential link between gut flora and the therapeutic effects of SFN on ASD.

SFN treatment alleviates social deficits in MIA-induced ASD-like rats and ASD patients, and improvements might be associated with gut microbiota.”

https://www.frontiersin.org/articles/10.3389/fnut.2023.1294057/full “Therapeutic efficacy of sulforaphane in autism spectrum disorders and its association with gut microbiota: animal model and human longitudinal studies”

The 2022 Efficacy of Sulforaphane in Treatment of Children with Autism Spectrum Disorder: A Randomized Double-Blind Placebo-Controlled Multi-center Trial (not freely available) was referenced for sulforaphane (actually, glucoraphanin with myrosinase enzyme) doses:

“Dosing was weight-based:

  • Two tablets/day for 10–29 lb;
  • Three tablets/day for 30–49 lb;
  • Four tablets/day for 50–69 lb.

An estimated delivery of approximately 24, 36, and 48 μmol of sulforaphane daily was expected in the respective SF dosage groups.”

Weights of the above μmol estimated dose amounts per https://pubchem.ncbi.nlm.nih.gov/compound/sulforaphane are 4.3, 6.4, and 8.5 mg, respectively. An average weight of a 4-year-old boy is 36 lbs / 16.3 kg, and a 7-year-old boy is 51.1 lbs / 23.2 kg.

This study’s maternal immune activation was done by injecting lipopolysaccharide into pregnant rats. Would injecting pregnant women with immune-activating substances have similar harmful effects on the fetus? We don’t have evidence because unbiased and unconflicted studies looking for such effects weren’t sponsored and/or published before immune-activating substances’ deployments.


A 2024 rodent study investigated sulforaphane’s effects on diabetic liver damage:

“We investigated whether sulforaphane, an Nrf2 activator and antioxidant, prevents diabetes-induced hepatic ferroptosis, and the mechanisms involved. Results showed that diabetes-induced inactivation of Nrf2 and decreased expression of its downstream antiferroptotic molecules critical for:

  • Antioxidative defense (catalase, superoxide dismutases, thioredoxin reductase);
  • Iron metabolism (ferritin heavy chain (FTH1), ferroportin 1);
  • Glutathione (GSH) synthesis (cystine-glutamate antiporter system, cystathionase, glutamate-cysteine ligase catalitic subunit, glutamate-cysteine ligase modifier subunit, glutathione synthetase); and
  • GSH recycling – glutathione reductase (GR)

were reversed/increased by sulforaphane treatment.

Diabetes-induced increases in serum glucose and triglyceride levels were also significantly reduced by sulforaphane. Taken together, our results demonstrate a potent effect of SFN in inhibiting ferroptotic death of hepatocytes under diabetic conditions in vivo, thereby alleviating liver injury.

This is the first study to demonstrate the protective role of SFN against ferroptosis in the liver of diabetic mice. This nominates sulforaphane as a promising phytopharmaceutical for the prevention/alleviation of ferroptosis in diabetes-related pathologies.”

https://iubmb.onlinelibrary.wiley.com/doi/10.1002/biof.2042 “Sulforaphane prevents diabetes-induced hepatic ferroptosis by activating Nrf2 signaling axis”

Improving peroxisomal function

A 2024 review provided details about “mysteries” in peroxisome research:

“Peroxisomes are key metabolic organelles with essential functions in cellular lipid metabolism (e.g., β-oxidation of fatty acids and synthesis of ether phospholipids, which contribute to myelin sheath formation), and metabolism of reactive oxygen species (ROS), particularly hydrogen peroxide. Loss of peroxisomal function causes severe metabolic disorders in humans.

Additional non-metabolic roles of peroxisomes have been revealed in cellular stress responses, regulation of cellular redox balance and healthy ageing, pathogen and antiviral defence, and as cellular signalling platforms. New findings also point to a role in regulation of immune responses.

In our previous reviews, we addressed the role of peroxisomes in the brain, in neurological disorders, in development of cancer, and in antiviral defence. To avoid repetition, we refer to those articles where appropriate, and to more specialised recent reviews on peroxisome biology.

418_2023_2259_Fig5

Proper functioning of peroxisomes in metabolism requires the concerted interaction with other subcellular organelles, including the endoplasmic reticulum (ER), mitochondria, lipid droplets, lysosomes, and the cytosol. A striking example of peroxisome-ER metabolic cooperation is de novo biosynthesis of ether phospholipids.

Metabolic activities of peroxisomes, such as ɑ- and β-oxidation of fatty acids, plasmalogen synthesis, and ROS/reactive nitrogen species metabolism, have been linked to numerous immune-related pathways. Roles for peroxisomes in immune and defence mechanisms have opened a new field of peroxisome research, and highlight once more how important peroxisomes are for human health and disease.

It is still not fully understood how peroxisomal functions and abundance are regulated, what kinases/phosphatases are involved, or how peroxisomes are linked to cellular signalling pathways and how they act as signalling platforms.”

https://link.springer.com/article/10.1007/s00418-023-02259-5 “The peroxisome: an update on mysteries 3.0”


Last Friday was Day 90 of a 90-day trial of plasmalogens coincident with improving peroxisomal function via resistance exercise and time-restricted eating. A sticking point has been leg resistance exercises. Ankle issues are interfering with progress, although beach walks aren’t similarly affected. I’m almost back to an upper body exercise routine of five years ago, and I’ve added a half-dozen abs exercises.

I’ll continue taking the two Prodrome plasmalogen precursor supplements (ProdromeGlia and ProdromeNeuro) and with efforts to improve peroxisomal function. Since achieving effective resistance exercise levels is taking longer than expected, and my crystal ball is out-of-commission, I don’t have a realistic end time estimate for stopping the supplements.

Oat sprout stressors

Two 2023 Avena sativa oat sprout studies, starting with one that found different effects during germination from varying temperature and relative humidity:

“This study evaluated effects of temperature (20, 25, and 30°C) and relative humidity (RH, 55, 60, and 65%) as abiotic stressors during oat germination. We identified eighty polyphenols, nine avenanthramides, twelve lignans, and five phytosterols.

  • 100% germination was achieved at 25°C/60% RH from day 3, yielding the longest radicle size.
  • The highest content of most phenolic acids, avenanthramides, and lignans occurred at 30°C/65% RH, where 100% germination was attained by day 5, but with a shorter radicle size.
  • The best flavonoid and phytosterol profile was obtained at 20°C/55% RH, achieving only a 67% germination rate by day 5.

sprouted oat temp rh

By considering germination conditions, end-users can harness the versatility of oat sprouting to meet their specific needs and maximize potential benefits of this promising cereal crop. For instance, manufacturers of functional foods and beverages could consider using sprouts from conditions that yield high polyphenol content for products targeting antioxidant benefits, whereas nutraceutical manufacturers could focus on sprouting conditions that result in elevated levels of avenanthramides, well-known for their health-promoting properties.”

https://www.sciencedirect.com/science/article/abs/pii/S0308814623027917Impact of temperature and humidity conditions as abiotic stressors on the phytochemical fingerprint of oat (Avena sativa L.) sprouts” (not freely available) Thanks to Dr. Iza F. Pérez-Ramírez for providing a copy.


Another study compared and contrasted eight sprouted grains to their ungerminated grains and to each other. I’ll highlight oat sprout results:

“The method used was germination for up to 72 h at temperatures ranging from 19–23°C. Oat germination rate was 80%.

Linoleic acid (omega-6) was the predominant fatty acid in oat grain powder, followed by similar amounts of oleic and palmitic acids and smaller amounts of stearic and linolenic (omega-3) acids. Since omega-6 content remained unchanged and omega-3 quantity increased slightly in sprouted oats, the omega-6/omega-3 ratio decreased.”

https://www.mdpi.com/2304-8158/12/17/3306 “Effect of Germination on Fatty Acid Composition in Cereal Grains”


My kitchen cupboard’s oat sprouting conditions are closer to this second study’s temperature, where relative humidity wasn’t specified. I doubt that kitchen winter-time relative humidity ever rises to the 55% lower threshold of the first study for more than a few minutes.

At this time of year in Sprouting hulled oats, I got a 97% germination rate over three days with an estimated 21°C (70°F) and a relative humidity closer to 30% than 55%. Couldn’t tell you why the first study’s germination rate with 20°C/55% RH was only 67% at day 5, or why the second study’s germination rate was only 80% at day 3 with 19–23°C.


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Building your plasmalogen savings account

A webinar from earlier this week with Dr. Goodenowe, a clinical trial facilitator, and a physician:

From the Q&A segment:

“Is there a particular age where it’s recommended to test for plasmalogen levels? And what levels would be considered normal?

That’s a good question. That actually raises this whole concept of optimal health and this concept of aging.

The best way to think about it – we talked about this paycheck-to-paycheck situation, where as long as our bills are paid every day, technically we think we’re normal. But we still feel this sense of health anxiety – if you will – like we just don’t know if my car breaks down, or my water heater breaks down, do I have enough money to pay these events in my life?

That’s what health feels like to a lot of people, because they’re just kind of getting by. From a health perspective, they’re considered normal, but they have no reserve capacity, and they have no vitality in terms of health.

Plasmalogens are a type of molecule that you build a savings account of, over years, over decades. Your heart builds them up, your brain builds them up, and you slowly accumulate them. Then when you get an oxidative stress like what’s happening now in today’s world with all the covid and myocarditis and brain fog – a lot of these things are being caused because that reserve of plasmalogens has been depleted.

We want plasmalogens for a longevity perspective. There are other situations that can have low plasmalogens, other things can really knock your plasmalogens down.

So you want to start early, you want to build a savings account, and you want to maintain it. Maintain health and function, and create a sustained surplus for optimal health, for optimal neuromuscular performance.”


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Plasmalogens, Part 1

The person who knows the most about this subject is Dayan Goodenowe, PhD. Some recent publications include:

https://www.frontiersin.org/articles/10.3389/fcell.2022.864842/full “Targeted Plasmalogen Supplementation: Effects on Blood Plasmalogens, Oxidative Stress Biomarkers, Cognition, and Mobility in Cognitively Impaired Persons”

https://www.frontiersin.org/articles/10.3389/fcell.2022.866156/full “Brain ethanolamine phospholipids, neuropathology and cognition: A comparative post-mortem analysis of structurally specific plasmalogen and phosphatidyl species”

plasmalogens and cognition


A sample of links freely available at https://drgoodenowe.com/.

1. Presentations to professional groups. Have your mouse ready to click the pause button.

https://drgoodenowe.com/dr-goodenowe-presents-at-the-iagg2023-in-yokohama-japan/ “A rare children’s disease that may be the key to reversing neurological decline in aging”

Includes videos of a treatment’s effects on a child.

https://neomarkgroup.wistia.com/medias/0qln0wy93t “The most influential biomarkers for aging and disease”

Despite the title, a considerable number of studies were presented on prenatal, infant, and early childhood development. He misspoke a few times, so read the slides.

Phenotype is reality. Genotype is possibility. Communications links between different fields are very poorly connected in science.

Peroxisomes are islands. They don’t have DNA like your mitochondria do. Peroxisomal transport issues are important things to understand.

All aging-related cross-sectional analyses are on the rate of decline. You’re declining from a previous well state. Age-matched controls are the most ridiculous thing to do.”


2. I’ll highlight the longest of several interviews because there was plenty of room to expand on points. Maybe the best detailed explanations came as responses to that interviewer challenging with contrasting AD, traumatic brain injury, and cholesterol paradigms. Its transcript is more accurate than a usual YouTube interpretation, but there are still mistakes such as “fossil lipid” vs. phospholipid.

https://www.betterhealthguy.com/episode186 “Plasmalogens with Dr. Dayan Goodenowe, PhD”

“Science is how do you push things to its failure, until you can’t fail it again. We’ve lost that. It’s become more hypothesis proving.

Plasmalogens levels go up for a different reason than people think. The reason why it peaks in our 40s and 50s is because we’ve been myelinating. The white matter of our brain is still increasing. It’s not because we’re making more plasmalogens. It’s because the lake, the reservoir, gets full. What you’re measuring in blood is overflow from the lake. The lower plasmalogens start trickling down in your blood, the bigger drain that’s occurring on that system.

Low plasmalogens don’t just predict dementia in the elderly population. It predicts the rate of decline of that dementia. It predicts the rate of death.

The biggest drivers of plasmalogen manufacturing and the biggest reasons why they decrease with age, or in other circumstances is two things. One, the failure to maintain a fasting state of the human body. The second one is muscle atrophy.

Amyloid has absolutely nothing to do with Alzheimer’s, or dementia. It’s just a bystander on the road watching an accident happen.

Age-related cognitive decline is clearly where plasmalogens have the greatest impact. You’re always going to have mixed pathologies in the brain.

Nutritional availability of plasmalogens is virtually non-existent. As soon as they hit the hydrochloric acid of your stomach, they’re gone. They don’t make it past the stomach, or the upper intestine.”


I came across Dr. Goodenowe’s work last month from clicking a comment on this blog that linked back to her blog. Always be curious.

Continued in Part 2.