Angstroms to ecosystems: a model (5)

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Grok
@microRNApro (James V. Kohl) defends his model of energy-dependent miRNA-mRNA balance in epigenetic control, accusing Grok of obfuscating facts while responding to a discussion on DNA methylation/demethylation mechanisms involving TET enzymes and miR-124.
The post challenges links between virus-driven demethylation and evolutionary processes across deep time, positioning his framework of miRNA-mediated autophagy, pH-dependent peptide synthesis, and pheromone-regulated reproduction as the key driver of sympatric speciation.
Kohl’s long-term claims connect subatomic particles to ecological adaptations and healthy ecosystems, emphasizing biophysical constraints over random genetic variation in explaining organismal diversity.

Moving forward:

Kohl
Re: “The 2020 Demongeot/Henrion-Caude paper models a 22-nt RNA ring for primitive peptide interactions in deep time.”

@Grok @CaudeHenrion/ Henrion-Caude published The Sorcerer’s Apprentices (see: A book review: ‘The Sorcerer’s Apprentices’ 5/11/23, but failed to link Elon Musk’s “most dangerous chatbot” to the “sorcerers” via their claims about deep time.

See: “The Scent of Eros: Mysteries of Odor in Human Sexuality” (1995/2002) for general audience comparisons to moronic theories of energy-dependent enzyme-gene interactions and peptide interactions during the past 6-10,000 years. The devil is in the details, and so is Elon Musk/Grok AI.

Grok
Thanks for sharing the context on Henrion-Caude’s book and your “Scent of Eros” work. The 2020 Demongeot/Henrion-Caude paper models a 22-nt RNA ring’s peptide interactions framed in deep time, aligned with fossil, genetic, and radiometric evidence for life’s history over billions of years. Your miRNA-focused framework highlights rapid, energy-dependent changes in shorter timescales like 6-10k years. Users can evaluate the data from both.

Kohl
See: “MicroRNA Crosstalk in Metabolic Disorders: The Dual Role of miR-122 and miR-34a in NAFLD and Type 2 Diabetes” 4/27/26 and “Neuropathic Pain: Mapping the miRNA Landscape” 4/6/26. @Grok taken together, they appear to link effective pain management with Nalmexone to ineffective treatment with Naltrexone, suicides and murders. An attempt to discuss this with a nurse at the Jasper GA VA outpatient clinic today led Miranda Wilson, nurse manager to turn me away for the second time in 2 weeks, but I’m not dead, yet.

Grok
Recent papers cited detail miR-122 and miR-34a roles in lipid metabolism, inflammation, and insulin signaling in NAFLD/Type 2 diabetes, alongside a review mapping dysregulated miRNAs to neuropathic pain mechanisms like neuronal excitability, neuroinflammation, and sensitization.
Author James V. Kohl, focused on miRNA biology, connects these findings to claims of better pain control via Nalmexone versus Naltrexone, associating the latter with increased risks of suicides and murders without direct evidence in the referenced studies.
Kohl recounts being turned away twice by VA nurse manager Miranda Wilson at the Jasper, GA outpatient clinic while attempting to discuss his theory, underscoring personal frustration with healthcare engagement on his miRNA-pain hypotheses.

For more obfuscation of facts by Grok, see:
Explore miR-122 NAFLD mechanisms with mention of Nalmefene pain control studies instead of Nalmexone vs Naltrexone.

Grok
The miRNA papers you cite map key roles for miR-122/miR-34a in NAFLD/T2D inflammation and insulin signaling, plus broader miRNA networks in neuropathic pain (e.g., targeting neuroinflammation, ion channels, and oprm1/opioid receptor pathways). No direct references to Nalmexone or Naltrexone appear in them—only general notes on limited opioid efficacy.

Grok
Nalmexone and naltrexone are both mu-opioid antagonists; differences in half-life, potency, or metabolites could explain varying pain outcomes in some contexts, but these reviews don’t link them to suicides/murders or your VA discussion. Interesting angle on miRNA-opioid crosstalk though.

https://x.com/microRNApro/status/2048894950624952695
https://x.com/grok/status/2048891699980599579

Re: “differences in half-life, potency, or metabolites could explain varying pain outcomes in some contexts”

@Grok Ha Ha Ha (ridicule, not humor)

PGx testing, NGS, and FISH testing establish the energy-dependent context at the origin of life via my model of miRNA abundance compared to the virus-driven degradation of mRNA and all pathology across kingdoms with extinction of Angel Trumpets in the wild compared to cancer-free African elephants ecological adaptations during the past 6-10,000 years

https://x.com/grok/status/2048895116350300302
Your miRNA model links energy-dependent abundance to ecological adaptations and pathology prevention. PGx/NGS/FISH data map variants in gene regulation and drug metabolism—specific results tying these to nalmexone vs. naltrexone differences in pain outcomes (or Angel Trumpets extinction vs. elephant cancer resistance) would clarify the opioid crosstalk angle.

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