Eating sprouts prevents AGEs

This 2021 in vitro study found:

“Prolonged and chronic hyperglycemia is a leading factor in inducing formation of advanced glycation end-products (AGEs) generated by reaction of free amino groups of proteins and carbonyl groups in reducing sugars, especially glucose and fructose. Metabolism of glucose via the glycolysis pathway also produces the most reactive compounds such as methylglyoxal (MG), a potent precursor of AGEs.

Previous studies reported that red cabbage extract could decrease glycated hemoglobin concentration in streptozotocin-induced diabetic rats and oxidative stress makers including protein carbonyl content and malondialdehyde in red blood cells. Emerging evidence supports that inhibition of protein glycation and oxidative damage may be attributed to free radical scavenging activity of plant extracts.

three brassicae

Extracts of Brassica vegetables cauliflower, cabbage and Chinese cabbage:

  • Inhibited formation of AGEs;
  • Prevented loss of protein thiol group; and
  • May act as a MG-trapping and antioxidant agent.

Phenolic acids, particularly sinapic acid and p-hydroxybenzoic acid, were commonly found in Brassica vegetables. These findings suggest that Brassica vegetables may be promising antiglycation and antioxidant agents for preventing formation of AGEs.”

https://link.springer.com/article/10.1007/s11130-021-00903-w “Phytochemical Composition, Antiglycation, Antioxidant Activity and Methylglyoxal‑Trapping Action of Brassica Vegetables” (not freely available)


Regarding this study’s sinapic acid findings, Broccoli sprout compounds include sinapic acid derivatives found with 6-day-old broccoli sprouts:

“Sprouting in darkness results in overall decrease in total content of sinapic acid derivatives with growth time, but promotes replacement of relatively low active constituents, such as sinapine, by stronger antioxidants. These structural changes are beneficial for total antioxidant capacity of broccoli sprouts, and are correlated with their increasing ability to scavenge free radicals, reduce transition metal ions, and inhibit lipid peroxidation.”

Regarding this study’s p-hydroxybenzoic acid findings, Advantages of 3-day-old oat sprouts over oat grains found with 3-day-old oat sprouts:

“Six hydroxybenzoic acids were found in greater amounts in sprouts, whereas two were reduced or lost.”


Getting onboard before sunrise

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Gut microbiota strains

Three human studies investigated strains within microbiota species. The first from 2021 had obese child subjects:

“Dietary intervention is effective in human health promotion through modulation of gut microbiota. Diet can cause single-nucleotide polymorphisms (SNPs) to occur in gut microbiota, and some of these variations may lead to functional changes in human health.

Compared with normal diet, the WTP diet provided large quantities of whole-grain mix that was rich in starch, soluble and insoluble dietary fiber, protein, and amino acids, but contained a small amount of fat. When this excess and/or indigestible nutrition reached the colon, it brought environmental pressures to microbiota that stayed there.

This pressure could facilitate utilization of indigestible nutrition by causing microbial SNPs. Metabolic efficiencies of indigestible nutrition substrates would be enhanced to adapt to the shifted environment better.

Although abundance of Bifidobacterium increased significantly by the intervention and became dominant strains responsible for nutrition metabolism, they had less BiasSNPs between the pre- and post-intervention group in comparison with Faecalibacterium. Finding F. prausnitzii as important functional strains influenced by intervention highlights the superiority of applying SNP analysis in studies of gut microbiota.

Though F. prausnitzii were well known for their biodiversity, we could not find functional reports about these SNPs. Future efforts are needed to verify/discern specific effects of these SNPs on encoded protein activity, their role on metabolism under high-fiber dietary intervention, and their potential beneficial or detrimental influences on host health.”

https://www.frontiersin.org/articles/10.3389/fmicb.2021.683714/full “Gut Microbial SNPs Induced by High-Fiber Diet Dominate Nutrition Metabolism and Environmental Adaption of Faecalibacterium prausnitzii in Obese Children”


A second 2021 human study investigated strain diversity in liver cirrhosis and Crohn’s disease:

“We constructed a computational framework to study strain heterogeneity in the gut microbiome of patients with liver cirrhosis (LC). Only Faecalibacterium prausnitzii showed different single-nucleotide polymorphism patterns between LC and healthy control (HC) groups.

Strain diversity analysis discovered that although most F. prausnitzii genomes are more deficient in LC group than in HC group at the strain level, a subgroup of 19 F. prausnitzii strains showed no sensitivity to LC, which is inconsistent with the species-level result.

More experiments need to be conducted so as to confirm the hypothesis of physiological differences among subgroups of F. prausnitzii strains. Our results suggest that strain heterogeneity should receive more attention.

With rapid development of sequencing technologies and experimental approaches, an increasing number of metagenomic studies will involve strain-level analysis. Such analysis of human metagenomes can help researchers develop more reliable disease diagnoses and treatment methods from a microbiological perspective.”

https://journals.asm.org/doi/10.1128/mSystems.00775-21 “Comprehensive Strain-Level Analysis of the Gut Microbe Faecalibacterium prausnitzii in Patients with Liver Cirrhosis”


A 2018 study investigated dietary fibers’ effects on Type 2 diabetics:

“In this study, we identified a group of acetate- and butyrate-producing bacterial strains that were selectively promoted by increased availability of diverse fermentable carbohydrates in the form of dietary fibers. These positive responders are likely key players for maintaining the mutualistic relationship between gut microbiota and the human host. Promoting this active group of SCFA producers not only enhanced a beneficial function but also maintained a gut environment that keeps detrimental bacteria at bay.

Only a small number of bacteria with genetic capacity for producing SCFAs were able to take advantage of this new resource and become dominant positive responders. The response, however, was strain specific: only one of the six strains of Faecalibacterium prausnitzii was promoted.

positive responders

The 15 positive responders are from three different phyla, but they act as a guild to augment deficient SCFA production from the gut ecosystem by responding to increased fermentable carbohydrate availability in similar ways. When they are considered as a functional group, the abundance and evenness of this guild of SCFA producers correlate with host clinical outcomes.”

https://science.sciencemag.org/content/359/6380/1151.full “Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes”


These studies favored a prebiotic approach to make gut microbiota happy and reciprocal in human health. The second study investigated 135 known strains of F. prausnitzii, and the first study found beneficial F. prausnitzii strains not yet covered in genomic databases.

I found the first two studies by them citing the third. The third study was cited in Gut microbiota guilds.

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Gut microbiota functional relationships

This 2021 study investigated environmentally-organized gut microbiome functional relationships:

“There has been a substantial gap between understanding microbiome assemblage and how its functionality is organized. In this study, we demonstrated the usefulness of metaproteomics in gaining a system-level understanding of microbiome functionality.

Our current finding highlights the value of further investigation into functional hubs and hub functions in microbiome proteomic content networks. This will provide a unique and systematic insight for prediction of community functional responses, or manipulation of microbiome functioning.

Across all metaproteomics datasets, Eubacterium, Faecalibacterium, Ruminococcus, Bacteroides, Clostridium and Coprococcus were found to be the most frequent functional hubs.

functionally related genera

Taxon-function bipartite network based on functional distances between microbial genera. Size of a node corresponds to its degree.

Highly connected functions were enriched in metabolism of carbohydrates and amino acids, suggesting that microbial acquisition of nutrients from the environment and trophic interactions between microbes could be major factors that shape their active functional organization. Our result showing robustness of between-taxa functional distances across individual microbiomes implied a more fundamental mechanism that underlies selective organization of microbiome functionalities by environment.

We observed a universal pattern of between-taxa functional distances (dij) across all analyzed datasets. Notably, this pattern was fully shifted by a global increase in dij values, and subsequently a significant decrease of normalized taxonomic diversity in a subset of inflammatory bowel disease samples mostly obtained from inflamed areas.

This finding may support, from a functional angle, the hypothesis that there are alternative stable states (bi-stability or multi-stability) in the gut ecosystem. One frequently discussed mechanism behind these alternative states has been continuous exposure of the microbiome to a altered environmental parameter:

  • An inflamed area in the gut will have a reduced mucus layer and elevated host defense responses.
  • Host mucus layer is a nutritional source of cross-feeding in the gut microbiome.
  • Loss of this layer may firstly affect network hub functions of carbohydrate and amino acid metabolism, and subsequently affect functional interactions in the whole community.

In addition, host defense responses attenuate microbial oxidative stress responses, which have been associated to microbiome dysfunction. Decrease of within-sample functional redundancy has been associated with impaired microbiome stability and resilience.

Resilient microbiota resist external pressures and return to their original state. A non-resilient microbiome is likely to shift its composition permanently and stay at an altered new state instead of restoring to its original state of equilibrium.”

https://www.biorxiv.org/content/10.1101/2021.07.15.452564v1.full “Revealing Protein-Level Functional Redundancy in the Human Gut Microbiome using Ultra-deep Metaproteomics”


My top genus Faecalibacterium – a cross-feeding, acetate-consuming, butyrate-producing commensal – would be more than twice the size of this study’s Faecalibacterium network projection in the above graphic. In this year’s efforts to make my gut microbiota happy, I’ve apparently done much to express its relevant gene network.

my genera

I came across this study by it citing Gut microbiota guilds.

PXL_20210809_101612117

Prevent your brain from shrinking

My 800th curation is a 2021 human diet and lifestyle study:

“Brain atrophy is correlated with risk of cognitive impairment, functional decline, and dementia. This study (a) examines the statistical association between brain volume (BV) and age for Tsimane, and (b) compares this association to that of 3 industrialized populations in the United States and Europe.

Tsimane forager-horticulturists of Bolivia have the lowest prevalence of coronary atherosclerosis of any studied population, and present few cardiovascular disease (CVD) risk factors. They have a high burden of infections and inflammation, reflected by biomarkers of chronic immune activation, including higher leukocytes counts, faster erythrocyte sedimentation rates, and higher levels of C-reactive protein, interleukin-6, and immunoglobulin-E than in Americans of all ages.

The Tsimane have endemic polyparasitism involving helminths and frequent gastrointestinal illness. Most morbidity and mortality in this population is due to infections.

brain volume

The Tsimane exhibit smaller age-related BV declines relative to industrialized populations, suggesting that their low CVD burden outweighs their high, infection-driven inflammatory risk. If:

  1. Cross-sectional data (which we believe are population-representative of Tsimane adults aged 40 and older) represent well the average life course of individuals; and
  2. The Tsimane are representative of the baseline case prior to urbanization;

these results suggest a ~70% increase in the rates of age-dependent BV decrease accompanying industrialized lifestyles.

Despite its limitations, this study suggests:

  • Brain atrophy may be slowed substantially by lifestyles associated with very low CVD risk; and
  • There is ample scope for interventions to improve brain health, even in the presence of chronically high systemic inflammation.

Lastly, the slow rate of age-dependent BV decrease in the Tsimane raises new questions about dementia, given the role of both infections and vascular factors in dementia risk.”

https://gurven.anth.ucsb.edu/sites/default/files/sitefiles/papers/irimiaetal2021.pdf “The indigenous South American Tsimane exhibit relatively modest decrease in brain volume with age despite high systemic inflammation”


I came across this study by its citation in Dr. Paul Clayton’s 2021 blog post We’ve got to get ourselves back to the garden.

Resistant starch therapy

This 2021 review subject was interactions among resistant starches and gut microbiota:

“Starch that reaches the large intestine without being fully digested is termed resistant starch (RS). Starch digestibility should be considered as a kinetic property (slower to faster) affected by host-specific factors, rather than as a binary trait (resistant or nonresistant).

RS is degraded by the colon’s complex ecosystem of microbes, triggering a cascading web of metabolic interactions. RS acts as a resource that is degraded and fermented by a hierarchy of specialized gut microbes:

  1. Primary degraders grow on RS in monoculture. They penetrate outer surfaces of intact RS granules, exposing pores and deeper concentric matrices while liberating oligosaccharides and generating metabolites like lactate and acetate.
  2. Secondary degraders grow on starch in monoculture, but degrade intact RS poorly or not at all. Instead, they may adhere to abrasions and pores on RS before participating in its degradation, and opportunistically utilize solubilized oligosaccharides produced by other RS degraders.
  3. Cross-feeders do not grow on starch in monoculture. They utilize by-products generated by upstream degraders, helping to maintain stoichiometric equilibrium and thermodynamically favorable (i.e. unconstrained) fermentation.

Together, the subsystem of microbes involved in RS degradation and fermentation participates in a complex network of cross-feeding interactions. In maintaining microbiome homeostasis, the RS nutrient web expands the scope of what could be considered a ‘beneficial’ gut microbe to a cluster of metabolically interconnected microbes.

1. Primary degraders such as acetate-producing Ruminococcus bromii are thought to be necessary for RS degradation in the human gut, where they unlock RS for other community members to degrade and ferment.

Ruminococcus genus

2. Secondary degraders possess extracellular amylases to degrade regular starch, but their contribution to initiating RS degradation is negligible compared to that of primary degraders. Instead, they may require primary degraders to erode smooth RS granule surfaces before adhering to RS and/or scavenging for ‘substrate spillover’ (i.e. excess oligosaccharides generated by primary degraders).

Eubacterium genus

Roseburia genus

3. Cross-feeders utilize starch by-products or metabolites generated by upstream RS degraders, such as acetate, lactate, formate, and succinate. Describing all known gut bacteria capable of utilizing these substrates exceeds the scope of this review, but one other example is noteworthy.

Faecalibacterium prausnitzii is a prominent butyrate-producing commensal, comprising 1.5% to 9.5% of fecal bacteria in European individuals. F. prausnitzii utilizes maltose and acetate to generate butyrate.

top 1-10 species

Microbiome sequencing data are compositional, meaning that gene amplicon read counts do not necessarily reflect bacterial absolute abundances. Instead, read counts are typically normalized to sum to 100%.

For this reason, relative abundances of smaller keystone communities (e.g. primary degraders) may increase, but appear to decrease simply because cross-feeders increase in relative abundance to a greater extent. These limitations illustrate the necessity of sufficiently powering RS interventions where microbiome composition is the primary endpoint, collecting critical baseline data and employing appropriate statistical techniques.”

https://www.tandfonline.com/doi/full/10.1080/19490976.2021.1926842 “Resistant starch, microbiome, and precision modulation”

Don’t count on broccoli compounds bailing out a high-fat diet’s effects on gut microbiota

Two rodent studies of mature broccoli and broccoli sprouts’ effects on a high-fat diet, with the first from 2021 investigating broccoli florets and stalks:

“Addition of broccoli florets to a HFD ameliorated insulin sensitivity. Florets further promoted gut microbiota diversity and low-grade inflammatory-associated strains.

Stalk supplementation also altered gut microbiota, leading to increased Bacteroidetes/Firmicutes ratio and levels of communities that preserve mucus layer and gut integrity while simultaneously decreasing levels of potentially harmful species.

Addition of broccoli to a HFD did not ameliorate body and tissues weight gain or food intake. Both broccoli stalks and florets did not affect fat accumulation, carbohydrate, or lipid metabolism-related parameters.”

https://www.frontiersin.org/articles/10.3389/fnut.2021.680241/full “Broccoli Florets Supplementation Improves Insulin Sensitivity and Alters Gut Microbiome Population – A Steatosis Mice Model Induced by High-Fat Diet”


A 2020 study cited by this first study investigated compounds extracted from 1-day-old broccoli sprouts:

Bioaccessibility of aliphatic glucosinolates was shown to 76.2 ± 0.6%:

aliphatic glucosinolate bioavailability

Glucoraphanin was the predominant glucosinolate with the highest bioaccessibility in broccoli, and could effectively prevent HFD-induced body weight gain in mice, especially increases in liver weight and the accumulation of lipids in adipocytes. Furthermore, supplementation with glucoraphanin reduced the level of oxidative stress, regulated genes of FAS, PPARα, CPT1 and ACOX associated with lipid metabolism, and might be associated with changes in composition of gut microbiota.”

https://www.frontiersin.org/articles/10.3389/fnut.2021.680241/full “Effect of glucoraphanin from broccoli seeds on lipid levels and gut microbiota in high-fat diet-fed mice”

This study’s title was “Effect of glucoraphanin from broccoli seeds..” although its Materials and methods section disclosed:

“1 day after germination from broccoli seeds, sprouts were boiled in water for 30 min. The resulting aqueous extract was processed by liquid solid separation and condensation and was subsequently spray-dried to yield an extract powder containing 249 mg glucoraphanin.”


Eat broccoli sprouts every day and its predecessor study demonstrated that broccoli intake every day had beneficial effects during shorter periods than either of these studies.

Both studies had many “may”, “could”, and “might” statements. Not sure that broccoli compounds / gut microbiota relationships are adequately investigated by choosing a few out of tens of thousands of gut microbiota species as both studies attempted to do.

There are too many additive / antagonistic / synergistic combinations to analyze even before reaching twenty gut microbiota species. But researchers aren’t often sponsored for studies unless they conform to existing research.


I haven’t made headway in understanding my top 10 of 42,156 gut microbiota species’ exact causes, effects, and interactions. The top three by themselves are considered beneficial:

top 1-10 species

Uncertainty is fine for now, though, with a 40-hour work week interfering. Finding out what my gut microbiota generally want and giving that to them has been a productive approach this year.

If you aren’t where you want to be, change yourself

This 2021 human study evaluated associations among epigenetic clocks and socioeconomic status:

“We conducted a comprehensive, comparative analysis of associations between various dimensions of socioeconomic status (SES) (education, income, wealth, occupation, neighbourhood environment, and childhood SES) and eight epigenetic clocks in two well-powered US ageing studies:

  • The Multi-Ethnic Study of Atherosclerosis (MESA); and
  • The Health and Retirement Study (HRS).

We found robust associations between SES measures in adulthood and the GrimAge and DunedinPoAm [Dunedin New Zealand (P)lace (o)f (A)ging (m)ethylation clock)] clocks. In the HRS, significant associations with the Levine and Yang clocks were also evident.

These associations were only partially mediated by smoking, alcohol consumption, and obesity, which suggests that differences in health behaviours alone cannot explain the SES gradient in epigenetic ageing in older adults. Further analyses revealed concurrent associations between polygenic risk for accelerated intrinsic epigenetic ageing, SES, and the Levine clock, indicating that genetic risk and social disadvantage may contribute additively to faster biological aging.”

https://www.medrxiv.org/content/medrxiv/early/2021/03/02/2021.03.01.21252660.full.pdf “The Socioeconomic Gradient in Epigenetic Ageing Clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study”


This study had a lot of squishy data. Didn’t see peer review comments, but I’d require evidence for several of these categorizations and subsequent findings.

For example, I quit smoking on February 5, 1985, the day I left my third submarine. This study would have categorized me 36 years later as a former smoker.

This categorization defied human cell turnover, with exceptions of our:

  • Cerebrum and cerebellum neurons;
  • Eye inner lens cells; and
  • Heart muscle cells.

Neither these cells nor other cells are associated with current status and quitting smoking four decades earlier. Consider that “associated” relationships don’t necessarily have any causal origins.

Another example from this study. My parents’ educational achievements of Masters degrees were during the 1950s. Pretty sure they weren’t causal to my degrees during the 1980s when I focused on advancing in the U.S. Navy.

Your responses to life events and subsequent behaviors are up to you, when and where you need them to be.

Do you feel a need to be consciously aware of who you really are? If not, unconsciously move along with the herd.


980604-N-7726D-002

Advantages of 3-day-old oat sprouts over oat grains

This 2021 in vitro study investigated different composition and resultant effects of oat grain and sprouts:

“The aim of this study was to:

  • Evaluate the effect of polyphenols and avenanthramides extracted from oat grains and sprouts on glucose and lipid metabolisms in 3T3 L1 adipocytes; and
  • Identify compounds associated with their beneficial effects through a chemometric approach.

Oat (Avena sativa var. Turquesa) seeds soaked in distilled water at 1:6 w/v ratio for 12 hr. Seeds were then placed in trays covered with a wet filter paper, then into a germination chamber for 3 days at 25°C and 60% relative humidity.

Both polyphenol and avenanthramide extracts from oat sprouts showed a greater beneficial effect than those from oat grains:

Effect of oat grain and sprouts on glucose (a) and lipid (b) metabolism

Effect of oat grain and sprouts on glucose (a) and lipid (b) metabolism. PE-OG Polyphenol extract from oat grain; PE-OS polyphenol extract from oat sprout; AE-OG avenanthramide extract from oat grain; AE-OS avenanthramide extract from oat sprout. Glucose metabolism (a) Glut4, glucose transporter-4; Irs1, insulin receptor substrate-1; Pi3k, phosphoinositide 3-kinase. Lipid metabolism (b) Fasn, fatty acid synthase; Acaca, acetyl-CoA carboxylase; Cpt1, carnitine palmitoyltransferase 1a; Acadm, acyl-CoA dehydrogenase.

Flavonoids:

  • Twelve major and minor flavonols were found in greater amount in sprouts, whereas two were lost; and
  • Two flavones were found in greater amounts in sprouts, whereas seven were reduced or lost. This is the first study that reports the profile of flavone derivatives in oat grains and sprouts.

Phenolic acids:

  • Six hydroxybenzoic acids were found in greater amounts in sprouts, whereas two were reduced or lost.
  • Fifteen hydroxycinnamic acids were found in greater amounts in sprouts, whereas four were reduced or unchanged or lost. Hydroxycinnamic acids esterified with quinic acid such as sinapoylquinic, coumaroylquinic, and feruloylquinic acids, as well as other derivatives, were identified in this study for the first time in oat grain and oat sprouts.

Avenanthramides: all avenanthramides were significantly increased during sprouting (1.7 to 9.0-fold).

Health beneficial effects of oat grains and sprouts were mainly related to their high content of:

  • Avenanthramides A (2p), B (2f), and C (2c);
  • Flavonols quercetin 3-O-rutinoside and kaempferol;
  • Hydroxycinnamic acid sinapoylquinic acid; and
  • Flavones apigenin and luteolin derivatives.

Polyphenol and avenanthramide extracts from oat grains and oat sprouts increased expression of genes involved in glucose uptake and fatty acids β-oxidation, and decreased expression of genes involved in fatty acids de novo synthesis (Fasn and Acaca) in 3T3 L1 adipocytes. Oat sprout extracts exerted an overall greater beneficial effect as compared to oat grain extracts.

This is the first study that demonstrates that oat avenanthramides and polyphenols modulate expression of key genes involved in glucose and lipid metabolisms in adipocytes. Further studies are necessary to validate these results using an in vivo approach.”

https://onlinelibrary.wiley.com/doi/10.1111/jfbc.13738 “Polyphenols and avenanthramides extracted from oat (Avena sativa L.) grains and sprouts modulate genes involved in glucose and lipid metabolisms in 3T3 L1 adipocytes” (not freely available) Thanks to Dr. Iza F. Pérez-Ramírez for providing a copy.


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Back pain and advanced glycation end products (AGEs)

Two 2020 rodent studies investigated intervertebral disk degeneration, with the first on AGEs’ role:

“This study evaluated the role of AGEs and RAGE in driving early intervertebral disk (IVD) degeneration processes in mice. Aging and diabetes are associated with increased low-back pain and IVD degeneration, yet causal mechanisms remain uncertain. AGEs:

  • Accumulate in IVDs from aging;
  • Are implicated in diabetes-related disorders;
  • Alter collagen; and
  • Induce proinflammatory conditions.

A mixed population of 23 male and female wild type AC57BL/6J mice were each assigned to two isocaloric diet groups after weaning. They received either low-AGE chow containing 7.6 μg/mg AGE, or high-AGE chow containing 40.9 μg/mg AGE generated via high-temperature heating (NIH-31 open formula chow autoclaved for 30 minutes at 120°C [248° F]). This in vivo dietary model was previously shown to increase IVD AGE accumulation without systemic obesity or diabetes.

disc AGE damage

AGE accumulation leads to RAGE-dependent collagen disruption in the annulus fibrosus, and can initiate molecular and tissue level collagen disruption. Second harmonic generation (SHG) and collagen-hybridizing peptide (CHP) analyzes were sensitive to collagenous alterations at multiple hierarchical levels due to AGE.

These methods may be useful in identifying additional contributors to collagen damage in IVD degeneration processes.”

https://onlinelibrary.wiley.com/doi/10.1002/jsp2.1126 “Advanced glycation end products cause RAGE-dependent annulus fibrosus collagen disruption and loss identified using in situ second harmonic generation imaging in mice intervertebral disk in vivo and in organ culture models”

Other human studies found degenerative spine disorders start at detectable levels during adolescence. Those study designs didn’t trace disc degeneration to diet, though.


A second study was summarized in a conference I’m sure researchers would like to reconvene:

“Kritschil et al investigated the role of insulin-like growth factor 1 (IGF-1) signaling on progression of disc degeneration in aging mice. They showed that diminished IGF-1 bioavailability confers both beneficial effects of decreased disc cell senescence and extracellular matrix catabolism, whilst at the same time negatively impacting proteoglycan production.”

jsp21134-fig-0001-m

https://onlinelibrary.wiley.com/doi/10.1002/jsp2.1134 “Advancing basic and preclinical spine research: Highlights from the ORS PSRS 5th International Spine Research Symposium”

https://onlinelibrary.wiley.com/doi/10.1002/jsp2.1112 “Effects of suppressing bioavailability of insulin-like growth factor on age-associated intervertebral disc degeneration”

This study asserted:

“Despite some inconsistent findings on the role of IGF-1 among human centenarian and animal model studies, there is overwhelming evidence to support that disruptions to the IGF-1 signaling pathway promotes healthy longevity.”

See Take responsibility for your one precious life – DHEA for other evidence on IGF-1.


Spent a large part of this weekend reading abstracts and studies concerning diet interactions with spinal disc degeneration. This AGE study provided more evidence than others on these relationships.

I’ve eaten AGE-less chicken vegetable soup almost every day for two years:

  • 237 g chicken breast cubes, 179 g celery, and 262 g carrots in 1 cup Savignon Blanc get up to 100° C around 9 minutes initially, then again about 6 minutes after I add 1 quart chicken broth, then I turn off the Instant Pot.
  • I stir in 340 g mushrooms, 31 g garlic, and 387 g Roma tomatoes five minutes later at about 85° C, and they cool the soup down to around 70° C. I let it stew for another 15 minutes before eating half (1.5 quarts).
  • A 1.5 quart leftover heated the next day for six minutes in a 1000W microwave reaches 55° C.

I do stretches every day to accommodate a L5-S1 disc replacement with a titanium-cage-and-rods apparatus done ten years ago, and a C5-C6-C7 similar operation done eleven years ago. Can’t say whether recent diet, last decades’ disc replacement surgeries, daily stretches and exercises, or other factors are responsible for absence of spine pain.

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ω-6 to ω-3 PUFA ratio

Three human-evidenced publications on omega-6 and omega-3 polyunsaturated fatty acids, with the first a 2021 blog post that cited 72 references:

“In the area of heart health, which is why most consumers swallow fish oil, the data is hopelessly conflicted:

  • One meta-analyses found that protective effects were dose-related, which is always persuasive;
  • In marked contrast, three recent powerful clinical trials found fish oil to have no effects on cardiovascular pathology in either primary or secondary prevention; and
  • Yet another meta-analysis found null results, except for a slight degree of protection in subjects who had gallantly taken fish oil supplements for over ten years.

Can these all be right? I think they can, based on secondary bioavailability.

Levels of omega 3s in the bloodstream are irrelevant, except in terms of their calorie content. That is not where they do their anti-inflammatory thing. They become precursors for resolvins, maresins, protectins, and anti-inflammatory eicosanoids only after they have been incorporated into the host’s cell membranes.

Getting them into cell membranes is secondary bioavailability (or bio-efficacy), and this is a much more complicated procedure. Seafood does it, but fish oil doesn’t.

Specifically, there is something in oily fish which enables secondary bioavailability, but which is missing in commercial fish oils. That something is a lipophillic polyphenol called phlorotannin.”

https://drpaulclayton.eu/blog/fish-oil-upgrade-to-snake-oil/ “Fish Oil? Upgrade to Snake Oil!”


A second paper was a 2021 review that focused on ratios of ω-6 to ω-3 PUFAs:

“Chronic diseases including obesity, type 2 diabetes, cardiovascular disease, cancer, and Alzheimer’s disease are rising exponentially in the modern world. Though these diseases are multifactorial in nature, their prevalence is mostly associated with an unbalanced increase in dietary n-6 PUFAs and decrease in n-3 PUFAs.

Mostly, these diseases escalate on the fact that inflammation in conjunction with obesity is the basis of every chronic disease.

Considering antagonistic effects of n-3 and n-6 PUFAs, both n-3 and n-6 SC-PUFAs and LC-PUFAs in their proportional ratio with each other, which is close to 4:1, play a significant role in regulating body homeostasis of inflammation and anti-inflammation, vasodilation and vasoconstriction, bronchoconstriction and bronchodilation, and platelet aggregation and antiaggregation.”

https://www.hindawi.com/journals/jl/2021/8848161/ “Overconsumption of Omega-6 Polyunsaturated Fatty Acids (PUFAs) versus Deficiency of Omega-3 PUFAs in Modern-Day Diets: The Disturbing Factor for Their ‘Balanced Antagonistic Metabolic Functions’ in the Human Body”


A third paper was a 2020 human adolescent study:

“Obese youth 9–19 y of age with nonalcoholic fatty liver disease were treated to see whether 12 wk of a low n–6:n–3 PUFA ratio (4:1) normocaloric diet mitigated fatty liver.

Independent of weight loss, a low n–6:n–3 PUFA diet ameliorated the metabolic phenotype of adolescents with fatty liver disease. This trial was registered at clinicaltrials.gov as NCT01556113.”

https://academic.oup.com/jn/article/150/9/2314/5870325 “A Low ω-6 to ω-3 PUFA Ratio (n–6:n–3 PUFA) Diet to Treat Fatty Liver Disease in Obese Youth”


My ω-6 to ω-3 PUFA 4 : 1 (1400 / 350) intake at breakfast and dinner via Balance Oil:

PXL_20210704_161714382

At lunch I eat an ounce of walnuts with a ω-6 to ω-3 PUFA 4.4 : 1 ratio:

walnuts 1 oz


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PTSD susceptibility?

This 2021 rodent study investigated post-traumatic stress disorder (PTSD) susceptibility:

“PTSD is an incapacitating trauma-related disorder, with no reliable therapy. We show distinct DNA methylation profiles of PTSD susceptibility in the nucleus accumbens (NAc). Data analysis revealed overall hypomethylation of different genomic CpG sites in susceptible animals.

Is it possible to treat PTSD by targeting epigenetic processes? Such an approach might reverse genomic underpinning of PTSD and serve as a cure.

To test plausibility of such an approach, a reliable animal (rat) model with high construct validity is needed. Previously, we reported one such model, which uses predator-associated trauma, and cue reminders to evoke recurring trauma. This simulates clinical PTSD symptoms including re-experiencing, avoidance, and hyperarousal.

Individual PTSD-like (susceptible) behavior is analyzed, enabling identification of susceptible animals separately from those that are non-PTSD-like (resilient). This model captures salient features of this disorder in humans, in which only a fraction of trauma victims develop PTSD, while others are resilient.

experimental model

Sprague–Dawley rats were exposed to trauma and to three subsequent trauma-associated reminders. Freezing behavior was measured under conditions of:

  • Exploration;
  • Social interaction (with a companion); and
  • Hyperarousal.

Controls were exposed to identical conditions except for the traumatic event.

PTSD-like behavior of each animal was compared with baseline and with the population. Two unambiguous sub-populations were identified, resilient and susceptible.

After exposure to trauma and its reminders, susceptible animals showed an increase from baseline in freezing behavior, and over time in all three behavioral tests, as opposed to resilient and control groups.

DMRs

Differentially methylated sites in susceptible and resilient animals compared to control group.

Although we focused in this study on DNA methylation changes that associate with susceptibility, we also report unique changes in DNA methylation that occur in resilient animals. Inhibition of critical genes that are downregulated in susceptible animals convert resilient animals to become susceptible.”

https://www.researchgate.net/publication/353192082_Reduction_of_DNMT3a_and_RORA_in_the_nucleus_accumbens_plays_a_causal_role_in_post-traumatic_stress_disorder-like_behavior_reversal_by_combinatorial_epigenetic_therapy “Reduction of DNMT3a and RORA in the nucleus accumbens plays a causal role in post-traumatic stress disorder-like behavior: reversal by combinatorial epigenetic therapy” (registration required)


Rodents with the same genetics and environment displayed individual differences in their responses to traumatic events. Researchers, provide evidence for that before venturing elsewhere.

Not sure why it took 3+ years for this study received in November 2017 to finally be published in July 2021. Sites other than https://doi.org/10.1038/s41380-021-01178-y are more transparent about their peer review and publication processes.

No causes for PTSD susceptibility were investigated. PTSD effects and symptoms aren’t causes, notwithstanding this study’s finding that:

“Our results support a causal role for the NAc as a critical brain region for expression of PTSD-like behaviors, and a role for programming genes by DNA methylation in the NAc in development of PTSD-like behaviors.”

Can’t say that I understand more about causes for PTSD susceptibility now than before I read this study. Researchers attaching significance to gene functional groups seemed like hypothesis-seeking efforts to overcome limited findings.

Will this study’s combination of a methyl donor with a Vitamin A metabolite address PTSD causes in humans? If it only temporarily alleviates symptoms, what lasting value will it have?


Several brain and body areas that store traumatic memories other than the nucleus accumbens were mentioned in The role of recall neurons in traumatic memories. A wide range of epigenetic memory storage vehicles is one reason why effective human therapies need to address each individual, their whole body, and their entire history.

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Osprey breakfast

Improving gut barriers

Three papers on gut barriers, with the first a 2020 review of four intestinal barrier layers:

“The epithelial cell layer and outer/inner mucin layer constitute the physical barrier. Intestinal alkaline phosphatase (IAP) produced by epithelial cells and antibacterial proteins secreted by Paneth cells represent the functional barrier.

Multiple layers of this barrier, from intestinal lumen to systemic circulation, include:

  1. Luminal intestinal alkaline phosphatase (IAP) that dephosphorylates bacterial endotoxin lipopolysaccharide (LPS) to detoxify it;
  2. Mucus layer that provides a physical barrier preventing interactions between gut bacteria and intestinal epithelial cells;
  3. Tight junctions between epithelial cells that limit paracellular transport of bacteria and/or bacterial products to systemic circulation; and
  4. Antibacterial proteins secreted by specialized intestinal epithelial cells or Paneth cells, and IgA [immunoglobulin A] secreted by immune cells present in lamina propria underlying the epithelial cell layer.

m_bvz039f0001

The presence of LPS in systemic circulation is identified as a causal or complicating factor in diverse diseases such as:

  • Diet-induced metabolic diseases;
  • Autism;
  • Alzheimer’s disease;
  • Parkinson’s disease;
  • Arthritis;
  • Obesity-induced osteoarthritis;
  • Asthma; and
  • Several autoimmune diseases.

Causal relationships between circulating LPS levels and development of multiple diseases underscore the importance of changes in intestinal barrier layers associated with disease development.

Correcting intestinal barrier dysfunction to modulate multiple diseases can be envisioned as a viable therapeutic option. Identifying precise defects by use of specific biomarkers would facilitate targeted interventions.”

https://academic.oup.com/jes/article/4/2/bvz039/5741771 “Intestinal Barrier Dysfunction, LPS Translocation, and Disease Development”


A second 2020 review focused on IAP:

“IAP plays a vital role in intestinal barrier function, affecting bicarbonate secretion, duodenal surface pH, nutrient resorption, local intestinal inflammation, and gut microbiota. Disturbances of IAP functions are associated with persistent inflammatory diseases associated with aging (i.e.,inflammageing), inflammatory bowel diseases, type 2 diabetes mellitus, obesity, metabolic syndrome, and chronic kidney disease (CKD).

Expression and activity of IAP are directly affected by food intake, i.e., quantity and type of macro- and micronutrients including vitamins and other bioactive nutrients, or by absence of food, as well as indirectly by composition of gut microbiota that in turn are highly dependent on food intake. Increased IAP gene expression and activity promoting detoxification of LPS may lead to improvement of both intestinal and systemic inflammation, reduced bacteria translocation, and maintaining gut barrier function.

IAP could be used as an inflammatory marker together with other markers, such as interleukins, to predict inflammation and diseases that are based on chronic inflammatory processes.”

https://doi.org/10.1007/s13167-020-00228-9 “Intestinal alkaline phosphatase modulation by food components: predictive, preventive, and personalized strategies for novel treatment options in chronic kidney disease” (not freely available)


A third paper was a 2021 rodent study by coauthors of the first paper:

“We developed intestine-specific IAP transgenic mice (IAPTg) overexpressing human chimeric IAP to examine direct effects of increased IAP expression on barrier function and development of metabolic diseases. We evaluated effects of intestine-specific IAP overexpression in hyperlipidemic Ldlr−/− mice. The data presented demonstrated significant attenuation of Western-type diet (WD)-induced LPS translocation in Ldlr−/−IAPTg mice, with significant reduction in intestinal lipid absorption, hyperlipidemia, hepatic lipids, and development of atherosclerotic lesions.

circresaha.120.317144.fig09

IAP is produced by enterocytes, and catalyzes removal of 1 of the 2 phosphate groups from the toxic lipid A moiety of LPS. This produces monophosphoryl-LPS, and results in attenuation of the downstream TLR (Toll-like receptor)-4–dependent inflammatory cascade.

IAP also:

  • Dephosphorylates other proinflammatory molecules such as flagellin and ATP, resulting in their detoxification;
  • Regulates expression of key gap junction proteins (zonula occludens, claudin, and occludin) and their cellular localization, which directly modulates intestinal barrier function;
  • Promotes growth of various commensal bacteria in the gut by decreasing luminal concentrations of nucleotide triphosphates via dephosphorylation; and
  • Translocates from the apical surface of enterocytes during fat absorption. Increased serum IAP accompanies fat absorption, which is consistent with observed increased levels of circulating LPS in WD-fed mice, providing one more likely mechanism by which WD affects intestinal barrier function via IAP.

Nutrients and food components/supplements that increase IAP include galacto- or chito- oligosaccharides, glucomannan, and vitamin D3. These provide a novel opportunity to develop simple strategies for modulation of diet/nutrition to target metabolic diseases including diabetes, fatty liver disease, atherosclerosis, and heart disease.”

https://www.ahajournals.org/doi/10.1161/CIRCRESAHA.120.317144 “Over-Expression of Intestinal Alkaline Phosphatase Attenuates Atherosclerosis”


Previously curated IAP studies were:

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Berry polyphenols

This 2021 review subject was berries and health:

“Phenolic compounds present in different berries (raspberry, blueberry, goji berry, black currant, strawberry, cranberry, and blackberry) were summarized based on up-to-date information and their beneficial health effects. Compounds such as anthocyanins, flavonols, and phenolic acids occur in different concentrations depending on berry type.

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Polyphenols are the ‘new’ prebiotics. A more recent definition of prebiotics is ‘a substrate that is selectively utilised by host microorganisms and conferring a health benefit.’

Only 5–10% of total intake is absorbed in the small intestine. Remainders can reach the large intestinal lumen, where they may be subjected to gut microbial community enzymatic activities. Microbiota can catabolize flavonoids that have not been absorbed into smaller molecules, such as phenolic and aromatic acids, which can then be absorbed by intestinal villi.

Increase of beneficial bacteria such as Bacteroidetes, decrease of Firmicutes, and production of short-chain fatty acids is almost consensus among studies. More in vivo data are required to understand mechanisms of action, while clinical trials using different characteristics (i.e., gender, age, existence of diseases) should be performed so new information on bioactivity of berries can be unveiled.”

https://www.sciencedirect.com/science/article/abs/pii/S2214799321001028 “Berry polyphenols and human health: evidence of antioxidant, anti-inflammatory, microbiota modulation, and cell-protecting effects (not freely available) Thanks to Dr. Anderson S. Sant’Ana for providing a copy.


It’s summer, and time to gorge on berries! We’ll deal with overindulgences later.

IMG_20190705_100825

Gut and brain health

This 2021 human review subject was interactions of gut health and disease with brain health and disease:

“Actions of microbial metabolites are key for appropriate gut-brain communication in humans. Among these metabolites, short-chain fatty acids (SCFAs), tryptophan, and bile acid metabolites / pathways show strong preclinical evidence for involvement in various aspects of brain function and behaviour.

Dietary fibres, proteins, and fats ingested by the host contain components which are metabolized by microbiota. SCFAs are produced from fermentation of fibres, and tryptophan-kynurenine (TRP-KYN) metabolites from dietary proteins. Primary bile acids derived from liver metabolism aid in lipid digestion, but can be deconjugated and bio-transformed into secondary bile acids.

1-s2.0-S0149763421001032-gr1

One of the greatest challenges with human microbiota studies is making inferences about composition of colonic microbiota from faeces. There are known differences between faecal and caecal microbiota composition in humans along with spatial variation across the gastrointestinal tract.

It is difficult to interpret microbiome-host associations without identifying the driving influence in such an interaction. Large cohort studies may require thousands of participants on order to reach 20 % explanatory power for a certain host-trait with specific microbiota-associated metrics (Shannon diversity, relative microbial abundance). Collection of metadata is important to allow for a better comparison between studies, and to identify differentially abundant microbes arising from confounding variables.”

https://www.sciencedirect.com/science/article/pii/S0149763421001032 “Mining Microbes for Mental Health: Determining the Role of Microbial Metabolic Pathways in Human Brain Health and Disease”


Don’t understand why these researchers handcuffed themselves by only using PubMed searches. For example, two papers were cited for:

“Conjugated and unconjugated bile acids, as well as taurine or glycine alone, are potential neuroactive ligands in humans.”

Compare scientific coverage of PubMed with Scopus:

  • 2017 paper: PubMed citations 39; Scopus citations 69.
  • 2019 paper: PubMed citations 69; Scopus citations 102.

Large numbers of papers intentionally missing from PubMed probably influenced this review’s findings, such as:

  1. “There are too few fibromyalgia and migraine microbiome-related studies to make definitive conclusions. However, one fibromyalgia study found altered microbial species associated with SCFA and tryptophan metabolism, as well as changes in serum levels of SCFAs. Similarly, the sole migraine-microbiota study reported an increased abundance of the kynurenine synthesis GBM (gut-brain module).
  2. Due to heterogeneity of stroke and vascular disease conditions, it is difficult to make substantial comparisons between studies. There is convincing evidence for involvement of specific microbial genera / species and a neurovascular condition in humans. However, taxa were linked to LPS biosynthesis rather than SCFA production.
  3. Several studies suggest lasting microbial changes in response to prenatal or postnatal stress, though these do not provide evidence for involvement of SCFA, tryptophan, or bile-acid modifying bacteria. Similar to stress, there are very few studies assessing impact of post-traumatic stress disorder on microbiota.”

These researchers took on a difficult task. Their study design could have been better.


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Wildlife

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Improving epigenetic clocks’ signal-to-noise ratio

This 2021 computational study investigated several methods of improving epigenetic clock reliability:

“Epigenetic clocks are widely used aging biomarkers calculated from DNA methylation data. Unfortunately, measurements for individual CpGs can be surprisingly unreliable due to technical noise, and this may limit the utility of epigenetic clocks.

Noise produces deviations up to 3 to 9 years between technical replicates for six major epigenetic clocks. Elimination of low-reliability CpGs does not ameliorate this issue.

We present a novel computational multi-step solution to address this noise, involving performing principal component analysis (PCA) on the CpG-level data followed by biological age prediction using principal components as input. This method extracts shared systematic variation in DNAm while minimizing random noise from individual CpGs.

Our novel principal-component versions of six clocks show agreement between most technical replicates within 0 to 1.5 years, equivalent or improved prediction of outcomes, and more stable trajectories in longitudinal studies and cell culture. This method entails only one additional step compared to traditional clocks, does not require prior knowledge of CpG reliabilities, and can improve the reliability of any existing or future epigenetic biomarker.

PC-based clocks showed greatly improved agreement between technical replicates, with 90+% agreeing within 1-1.5 years. The median deviation ranged from 0.3 to 0.8 years, whereas CpG clocks ranged from 0.9-2.4 years.

PCPhenoAge vs. PhenoAge

The most dramatic improvement was in PhenoAge. CpG-trained PhenoAge has a median deviation of 2.4 years, 3rd quartile of 5 years, and maximum of 8.6 years. In contrast, PCPhenoAge has a median deviation of 0.6 years, 3rd quartile of 0.9 years, and maximum of 1.6 years. PCPhenoAge was trained directly on phenotypic age based on clinical biomarkers rather than DNAm.

Correlations between different PC clocks was stronger than between CpG clocks. This may be partly due to the shared set of CpGs used to train PCs, or due to the reduction of noise that would have biased correlations towards the null. Correlations between PC clocks and CpG clocks tended to be stronger compared to correlations between CpG clocks and CpG clocks, consistent with a reduction of noise.

PC clocks preserve relevant aging signals unique to each of their CpG counterparts. They reduce technical variance but maintain relevant biological variance.

PCA is a commonly used tool and does not require specialized knowledge. High reliability of principal component-based epigenetic clocks will make them particularly useful for applications in personalized medicine and clinical trials evaluating novel aging interventions.”

https://doi.org/10.1093/geroni/igab046.015 “A Computational Solution to Bolster Epigenetic Clock Reliability for Clinical Trials and Longitudinal Tracking”


I appreciate that a coauthor – who is the originator of PhenoAge – is open to evidence and improvements. There’s a fun do-it-yourself demo of PCA at https://setosa.io/ev/principal-component-analysis/.

I found this study from it citing a 2021 review:

https://www.sciencedirect.com/science/article/abs/pii/S1084952121000094 “Aging biomarkers and the brain” (not freely available)

I found that review from it citing a 2020 study:

https://www.cell.com/iscience/fulltext/S2589-0042(20)30384-9 “Human Gut Microbiome Aging Clock Based on Taxonomic Profiling and Deep Learning”

Maybe this last study could be improved from its “mean absolute error of 5.91 years” with PCA? See Part 2 for another view.


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