๐‚๐จ๐ง๐ฌ๐ฎ๐ฆ๐ž๐ซ ๐Œ๐š๐ซ๐ค๐ž๐ญ ๐‘๐ž๐ฃ๐ž๐œ๐ญ๐ฌ ๐„๐ฑ๐ฉ๐ž๐ง๐ฌ๐ž ๐š๐ง๐ ๐๐ฎ๐ข๐ฌ๐š๐ง๐œ๐ž ๐จ๐Ÿ ๐Œ๐ž๐๐ข๐œ๐š๐ฅ ๐ƒ๐ž๐ฏ๐ข๐œ๐ž ๐๐ซ๐ž๐œ๐ข๐ฌ๐ข๐จ๐ง ๐ข๐ง ๐…๐š๐ฏ๐จ๐ซ ๐จ๐Ÿ ๐š ๐’๐ž๐ฅ๐Ÿ-๐“๐ข๐ญ๐ซ๐š๐ญ๐ข๐จ๐ง ๐‡๐ž๐ฎ๐ซ๐ข๐ฌ๐ญ๐ข๐œ

๐‚๐จ๐ง๐ฌ๐ฎ๐ฆ๐ž๐ซ ๐Œ๐š๐ซ๐ค๐ž๐ญ ๐‘๐ž๐ฃ๐ž๐œ๐ญ๐ฌ ๐„๐ฑ๐ฉ๐ž๐ง๐ฌ๐ž ๐š๐ง๐ ๐๐ฎ๐ข๐ฌ๐š๐ง๐œ๐ž ๐จ๐Ÿ ๐Œ๐ž๐๐ข๐œ๐š๐ฅ ๐ƒ๐ž๐ฏ๐ข๐œ๐ž ๐๐ซ๐ž๐œ๐ข๐ฌ๐ข๐จ๐ง ๐ข๐ง ๐…๐š๐ฏ๐จ๐ซ ๐จ๐Ÿ ๐š ๐’๐ž๐ฅ๐Ÿ-๐“๐ข๐ญ๐ซ๐š๐ญ๐ข๐จ๐ง ๐‡๐ž๐ฎ๐ซ๐ข๐ฌ๐ญ๐ข๐œ ๐–๐ก๐ž๐ง ๐•๐š๐ฉ๐ข๐ง๐  ๐‚๐š๐ง๐ง๐š๐›๐ข๐ฌ ๐„๐ฑ๐ญ๐ซ๐š๐œ๐ญ๐ฌ (๐Ž๐ข๐ฅ): ๐๐ž๐ž๐ฉ ๐จ๐ซ ๐ฌ๐ก๐š๐ฅ๐ฅ๐จ๐ฐ ๐ฉ๐ฎ๐Ÿ๐Ÿ, ๐ฆ๐จ๐ซ๐ž ๐จ๐ซ ๐Ÿ๐ž๐ฐ๐ž๐ซ ๐ฉ๐ฎ๐Ÿ๐Ÿ๐ฌ, ๐ฐ๐ก๐š๐ญ ๐ ๐ข๐ฏ๐ž๐ฌ ๐ซ๐ž๐ฅ๐ข๐ž๐Ÿ ๐ญ๐จ ๐จ๐ง๐ž ๐ข๐ง๐๐ข๐ฏ๐ข๐๐ฎ๐š๐ฅ ๐ข๐ฌ ๐๐ข๐Ÿ๐Ÿ๐ž๐ซ๐ž๐ง๐ญ ๐Ÿ๐จ๐ซ ๐š๐ง๐จ๐ญ๐ก๐ž๐ซ.

In many jurisdictions, cannabis has transitioned from an illicit drug to a regulated consumer commodity akin to alcohol, yet delivery technology remains tied to an incongruent pharmaceutical model (Giroud et al., 2015). This has created a persistent Adoption Gap between the precision-engineered devices championed in clinical literature and the consumer-grade hardware that dominates the global marketplace. While this gap is often interpreted as a failure of consumer education, this analysis contends that it reflects a documented behavioral response to a regulatory category error: the misapplication of a medical device paradigm to a technology where safety is demonstrably addressed by existing consumer electronics standards, and where users engage in the self-titration behavior detailed in ยง3.4.

By mandating milligram-level precisionโ€”a standard designed for clinical trial data and insurer reimbursementโ€”regulators have prioritized metrological reliability over functional safety (Almog et al., 2020). In contrast, the market has converged on a safety-parity paradigm. Legitimate consumer-grade vaporizers already meet rigorous international electrotechnical standards (e.g., IECEE, RoHS), which effectively mitigate primary risks such as battery thermal runaway and heavy-metal leaching (ASTM International, 2024).

However, as noted by Dai (2016), the public health challenge is less about device mechanics and more about “what is in the product and how to measure it.” Even as delivery hardware stabilizes, a significant “label claim gap” persists, where internet-purchased products often fail to match their stated cannabinoid profiles (Ruth et al., 2016). This reinforces the need for regulatory frameworks that prioritize chemical and material safety over mechanical metrology.

Imposing an additional “Medical” layer does not inherently improve safety; instead, it creates a “Standardization Paradox”โ€”the mismatch between fixed-dose hardware and variable botanical extracts. Users do not operate in a regulatory vacuum but replace formal, device-led restrictions with sophisticated informal controls and a self-titration heuristic. This analysis evaluates the adoption gap through the lens of regulatory science, presenting the technical features rejected by the market as evidence of a misalignment between institutional goals and user-led harm reduction.

๐“๐š๐ซ๐ ๐ž๐ญ๐ข๐ง๐  ๐“๐ƒ๐-๐Ÿ’๐Ÿ‘ ๐ข๐ง ๐€๐‹๐’: ๐‘๐ž๐ ๐ฎ๐ฅ๐š๐ญ๐จ๐ซ๐ฒ ๐ก๐ฎ๐ซ๐๐ฅ๐ž๐ฌ, ๐ญ๐ซ๐ข๐š๐ฅ ๐๐ž๐ฌ๐ข๐ ๐ง ๐๐ž๐Ÿ๐ข๐œ๐ข๐ž๐ง๐œ๐ข๐ž๐ฌ, ๐š๐ง๐ ๐ญ๐ก๐ž ๐œ๐š๐ฎ๐ฌ๐š๐ฅ ๐ž๐ฏ๐ข๐๐ž๐ง๐œ๐ž ๐ ๐š๐ฉ ๐Ÿ๐จ๐ซ ๐‚๐“๐ฑ๐Ÿ๐ŸŽ๐ŸŽ๐ŸŽ.

๐“๐š๐ซ๐ ๐ž๐ญ๐ข๐ง๐  ๐“๐ƒ๐-๐Ÿ’๐Ÿ‘ ๐ข๐ง ๐€๐‹๐’: ๐‘๐ž๐ ๐ฎ๐ฅ๐š๐ญ๐จ๐ซ๐ฒ ๐ก๐ฎ๐ซ๐๐ฅ๐ž๐ฌ, ๐ญ๐ซ๐ข๐š๐ฅ ๐๐ž๐ฌ๐ข๐ ๐ง ๐๐ž๐Ÿ๐ข๐œ๐ข๐ž๐ง๐œ๐ข๐ž๐ฌ, ๐š๐ง๐ ๐ญ๐ก๐ž ๐œ๐š๐ฎ๐ฌ๐š๐ฅ ๐ž๐ฏ๐ข๐๐ž๐ง๐œ๐ž ๐ ๐š๐ฉ ๐Ÿ๐จ๐ซ ๐‚๐“๐ฑ๐Ÿ๐ŸŽ๐ŸŽ๐ŸŽ. Requires a subscription but free download available through Sept. 24 with this link https://authors.elsevier.com/a/1nYxN4r9Rkz1wZ

Conclusion: Rigor without cynicism

CTx1000 is not another generic antioxidant or anti-inflammatory shot in the dark. The 14-3-3ฮธ/degron mechanism is biologically sophisticated, mechanistically distinct from all prior ALS therapeutic failures, and grounded in a peer-reviewed understanding of the aberrant proteinโ€“protein interactions that characterize pathological TDP-43.(p7) Celosia Therapeutics deserves credit for advancing a genuinely novel molecular hypothesis to first-in-human testing in a disease where the ethical pressure to move quickly is intense and legitimate.

The concerns raised in this Feature โ€“ open-label bias, the absence of a TDP-43-specific biomarker, restrictive selection criteria, and unresolved dose-optimization imperatives โ€“ are not arguments against the program. They are a checklist. They are the questions that decades of ALS trial failures have made mandatory before the next Phase III enrollment.

The fieldโ€™s collective obligation is straightforward: Celosia should commit, before KOANEWA completes enrollment, to publishing the full trial data regardless of outcome, whether it is positive, negative, or inconclusive. The ALS research community has been harmed, repeatedly, by selective reporting of favorable signals and the burial of null results. The only exit from the graveyard is radical transparency about what worked, what did not, and โ€“ most importantly โ€“ why. A mechanistically interpretable failure is more valuable to the field than an unexplained success, because it closes experimental space and forces the causal question that 60 failed molecules have failed to answer.

Ultimately, CTx1000 will either provide strong evidence that TDP-43 is a causal driver of human motor neuron disease, or it will demonstrate with rigor that the mechanism, delivery, or underlying biological assumptions require revision. Either outcome, reported fully and transparently, represents more true progress than the field has achieved across decades of methodologically fragile trials.

GUTH Stem Cell Exhaustion as a Hallmark of Aging, J. Cell Research and Regenerative Medicine

๐—ช๐—ฎ๐—ถ๐˜ ๐—ฎ ๐—บ๐—ถ๐—ป๐˜‚๐˜๐—ฒ!ย ๐—›๐—ผ๐˜„ ๐—ฑ๐—ถ๐—ฑ ๐˜†๐—ผ๐˜‚ ๐—ด๐—ฒ๐˜ ๐—ฎ ๐—บ๐—ฒ๐—ฑ๐—ถ๐—ฐ๐—ฎ๐—น ๐—ท๐—ผ๐˜‚๐—ฟ๐—ป๐—ฎ๐—น ๐—ฝ๐˜‚๐—ฏ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ผ๐˜‚๐˜ ๐—ผ๐—ณ “๐—ฆ๐˜๐—ฒ๐—บ ๐—–๐—ฒ๐—น๐—น ๐—˜๐˜…๐—ต๐—ฎ๐˜‚๐˜€๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐˜€ ๐—ฎ ๐—›๐—ฎ๐—น๐—น๐—บ๐—ฎ๐—ฟ๐—ธ ๐—ผ๐—ณ ๐—”๐—ด๐—ถ๐—ป๐—ด?”ย ๐—ช๐—ต๐—ฎ๐˜ ๐—ฝ๐—ต๐—ฎ๐—ฟ๐—บ๐—ฎ๐—ฐ๐—ฒ๐˜‚๐˜๐—ถ๐—ฐ๐—ฎ๐—น ๐—ณ๐—ถ๐—ฟ๐—บ ๐˜„๐—ผ๐˜‚๐—น๐—ฑ ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ผ๐—ฟ ๐˜๐—ต๐—ฎ๐˜ ๐—ธ๐—ถ๐—ป๐—ฑ ๐—ผ๐—ณ ๐—ฏ๐—ฎ๐˜€๐—ถ๐—ฐ ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต?ย ๐—ก๐—ผ ๐—ฝ๐—ต๐—ฎ๐—ฟ๐—บ๐—ฎ๐—ฐ๐—ฒ๐˜‚๐˜๐—ถ๐—ฐ๐—ฎ๐—น ๐—ณ๐—ถ๐—ฟ๐—บ ๐˜„๐—ผ๐˜‚๐—น๐—ฑ.ย ๐—œ๐˜ ๐˜„๐—ฎ๐˜€ ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ผ๐—ฟ๐—ฒ๐—ฑ ๐—ฏ๐˜† ๐—ฎ ๐—ฏ๐—ฎ๐˜€๐—ถ๐—ฐ ๐˜€๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—ถ๐—ป๐˜€๐˜๐—ถ๐˜๐˜‚๐˜๐—ฒ!

This article reviews key findings and significant publications regarding stem cell exhaustion in the context of human aging. As individuals age, stem cells lose their capacity for division and differentiation, approaching the Hayflick limit, beyond which cellular division ceases due to telomere shortening and subsequent senescence or apoptosis. Accumulation of DNA damage from sources such as UV radiation and normal metabolic processes compromises stem cell function. Although the body possesses DNA repair mechanisms, their efficiency decreases with age. The stem cell niche provides crucial signals and support; its deterioration with age, potentially due to inflammation or other changes, can impede stem cell activity and differentiation. Stem cell exhaustion is further exacerbated by oxidative stress, as reactive oxygen species can disrupt stem cell integrity. Additionally, age-related changes in epigenetic markers can silence genes essential for stem cell self-renewal and pluripotency. Chronic inflammation, often termed “inflammaging,” creates a hostile environment for stem cells, impairing their function and survival. Another concern is the decreased ability to eliminate senescent cells, which can accumulate and create a toxic microenvironment, further jeopardizing neighboring stem cells. Ultimately, stem cell exhaustion in aging arises from intrinsic factors (telomere shortening, DNA damage, epigenetic modifications) and extrinsic factors (niche deterioration, oxidative stress, inflammation, senescent cell accumulation). This decline in functional stem cells hinders tissue repair, contributing to age-associated physical decline, characterized by slower wound healing and decreased immune response.

Stem cell exhaustion is the gradual loss of stem cell function and division capacity over time, serving as a major integrative hallmark of aging. [1, 2]

What is Stem Cell Exhaustion?

Reduced regenerative capacity: Stem cells stop dividing efficiently as we age, failing to supply fresh cells to tissues and organs.

Corporate media drowning out wide majority favoring Medicare-for-All

This week on CounterSpin Podcast: Janine Jackson: Corporate news media obscure it, almost like itโ€™s their job, but we still understand that laws and policies land on differently situated people differently. I can believe that there are millionaire congressmembers who genuinely ๐‘๐‘Ž๐‘›๐‘›๐‘œ๐‘ก ๐‘–๐‘š๐‘Ž๐‘”๐‘–๐‘›๐‘’ pushing through a sickness, or ignoring a health concern, because they canโ€™t afford the doctor visitโ€ฆpeople who havenโ€™t even ever ๐‘ค๐‘Ž๐‘–๐‘ก๐‘’๐‘‘ for an appointment, or struggled to fit it around a work schedule. But thatโ€™s the reality of millions of us, most of us.

So current corporate media talking about how universal care, or Medicare for All, is, as Forbes magazine puts it, โ€œa brand, not a planโ€? Media who elitesplain that โ€œoh, you donโ€™t want to live in Canada, just trust me on thatโ€? ย ๐“๐ก๐ž๐ฒ ๐๐จ๐งโ€™๐ญ ๐ฌ๐ฉ๐ž๐š๐ค ๐Ÿ๐จ๐ซ ๐ญ๐ก๐ž ๐ฆ๐จ๐ฌ๐ญ ๐จ๐Ÿ ๐ฎ๐ฌ, ๐ฐ๐ก๐จ ๐ฃ๐ฎ๐ฌ๐ญ ๐ฐ๐š๐ง๐ญ ๐ญ๐จ ๐ฌ๐ž๐ž ๐š ๐๐จ๐œ๐ญ๐จ๐ซ, ๐ข๐ง ๐š ๐ซ๐ž๐ ๐ฎ๐ฅ๐š๐ซ ๐ฐ๐š๐ฒ, ๐ฉ๐ฅ๐ž๐š๐ฌ๐ž. ๐๐ฎ๐ญ ๐ญ๐ก๐ž๐ฒ ๐œ๐š๐ง ๐ฌ๐ฉ๐ž๐š๐ค ๐Ž๐•๐„๐‘ ๐ฎ๐ฌ.

Weโ€™ll talk about Medicare for Allโ€”and the things youโ€™re likely to read about itโ€”with Abdullah Shihipar, public health researcher and writer, from the Brown University School of Public Health.

๐“๐ก๐ž ๐ก๐ข๐ ๐ก๐ž๐ฌ๐ญ ๐œ๐ฅ๐ข๐ง๐ข๐œ๐š๐ฅ ๐ญ๐ซ๐ข๐š๐ฅ ๐Ÿ๐š๐ข๐ฅ๐ฎ๐ซ๐ž ๐ซ๐š๐ญ๐ž ๐Ÿ๐จ๐ซ ๐š๐ง๐ฒ ๐๐ข๐ฌ๐ž๐š๐ฌ๐ž ๐ข๐ง ๐ฆ๐จ๐๐ž๐ซ๐ง ๐ฆ๐ž๐๐ข๐œ๐ข๐ง๐ž: ๐‡๐จ๐ฐ ๐›๐จ๐ญ๐ก ๐š๐ฆ๐ฒ๐ฅ๐จ๐ข๐- ๐š๐ง๐ ๐ง๐จ๐ง-๐š๐ฆ๐ฒ๐ฅ๐จ๐ข๐-๐ญ๐š๐ซ๐ ๐ž๐ญ๐ข๐ง๐  ๐ญ๐ก๐ž๐ซ๐š๐ฉ๐ข๐ž๐ฌ ๐Ÿ๐š๐ข๐ฅ๐ž๐ ๐ญ๐จ ๐š๐ฅ๐ญ๐ž๐ซ ๐๐ข๐ฌ๐ž๐š๐ฌ๐ž ๐œ๐จ๐ฎ๐ซ๐ฌ๐ž ๐ข๐ง ๐€๐ฅ๐ณ๐ก๐ž๐ข๐ฆ๐ž๐ซ’๐ฌ ๐๐ข๐ฌ๐ž๐š๐ฌ๐ž

๐“๐ก๐ž ๐ก๐ข๐ ๐ก๐ž๐ฌ๐ญ ๐œ๐ฅ๐ข๐ง๐ข๐œ๐š๐ฅ ๐ญ๐ซ๐ข๐š๐ฅ ๐Ÿ๐š๐ข๐ฅ๐ฎ๐ซ๐ž ๐ซ๐š๐ญ๐ž ๐Ÿ๐จ๐ซ ๐š๐ง๐ฒ ๐๐ข๐ฌ๐ž๐š๐ฌ๐ž ๐ข๐ง ๐ฆ๐จ๐๐ž๐ซ๐ง ๐ฆ๐ž๐๐ข๐œ๐ข๐ง๐ž: ๐‡๐จ๐ฐ ๐›๐จ๐ญ๐ก ๐š๐ฆ๐ฒ๐ฅ๐จ๐ข๐- ๐š๐ง๐ ๐ง๐จ๐ง-๐š๐ฆ๐ฒ๐ฅ๐จ๐ข๐-๐ญ๐š๐ซ๐ ๐ž๐ญ๐ข๐ง๐  ๐ญ๐ก๐ž๐ซ๐š๐ฉ๐ข๐ž๐ฌ ๐Ÿ๐š๐ข๐ฅ๐ž๐ ๐ญ๐จ ๐š๐ฅ๐ญ๐ž๐ซ ๐๐ข๐ฌ๐ž๐š๐ฌ๐ž ๐œ๐จ๐ฎ๐ซ๐ฌ๐ž ๐ข๐ง ๐€๐ฅ๐ณ๐ก๐ž๐ข๐ฆ๐ž๐ซ’๐ฌ ๐๐ข๐ฌ๐ž๐š๐ฌ๐ž
Michael A. S. Guth, ๐น๐‘Ÿ๐‘’๐‘’ ๐‘๐‘’๐‘ข๐‘Ÿ๐‘œ๐‘๐‘Ž๐‘กโ„Ž๐‘œ๐‘™๐‘œ๐‘”๐‘ฆ, Vol. 7 (2026).

https://ejournals.uni-muenster.de/index.php/fnp/article/view/9650

Keywords: Alzheimer’s disease, Clinical trials, Amyloid hypothesis, Drug development, CADRO, Disease-modifying therapy, Go/No Go decisions

Abstract
๐๐š๐œ๐ค๐ ๐ซ๐จ๐ฎ๐ง๐: Alzheimer’s disease drug development has produced a 99.6 percent failure rate for disease-modifying compounds (244 compounds tested 2002โ€“2012, one regulatory approval; Cummings et al., 2014; Cummings, 2018)โ€”the most sustained and costly therapeutic failure in the history of modern medicine. The field’s standard explanation is that the biology is intractable. The present analysis offers a different and more instructive diagnosis: the failure was not primarily scientific. It was institutional.

๐Ž๐›๐ฃ๐ž๐œ๐ญ๐ข๐ฏ๐ž: To characterize the structural and institutional forces that sustained investment in repeatedly ineffective mechanisms of action across 567 Phase 2 and Phase 3 Alzheimer’s trials from 2010 to 2026, and to determine whether peer-reviewed alternative pathogenic frameworks were available at the time each major Go/No Go decision was made.

๐Œ๐ž๐ญ๐ก๐จ๐๐ฌ:ย Trials were identified from ClinicalTrials.gov using the following criteria: primary diagnosis of Alzheimer’s disease or mild cognitive impairment attributed to Alzheimer’s disease; Phase 2 or Phase 3; status of terminated or completed; primary completion date between January 1, 2010 and May 4, 2026. After exclusion of 70 trials not classifiable by mechanism of action, a final analytic dataset of 497 trials was classified by primary mechanism using the Common Alzheimer’s Disease Research Ontology (CADRO). A temporal alignment analysis was conducted for the 12 largest trials by enrollment (N โ‰ฅ 1,300), mapping each trial’s initiation date against the publication dates of peer-reviewed alternative mechanistic frameworks available at the time of trial launch.

Results:ย Amyloid-targeting approaches accounted for approximately 31 percent of the 497 classified trials, nearly all of which failed to demonstrate clinical efficacy. Among the 12 largest trials, 11 targeted amyloid pathology and 10 were terminated for futility or lack of efficacy. All 12 trials were initiated after the publication in high-impact journals of peer-reviewed alternative frameworks, including the TREM2 neuroinflammation pathway, the antimicrobial protection hypothesis, the periodontitis-associated bacterial pathogenesis hypothesis, and the GLP-1 metabolic pathways. The post-2022 period revealed that genuinely novel non-amyloid mechanismsโ€”TREM2 agonism, GLP-1 receptor stimulation, filamin A modulation, and progranulin/sortilin restorationโ€”also failed to produce clinical benefit at scale despite confirmed target engagement. Three establishment forces are identified as operative causes: regulatory path dependency, institutional entrenchment within grant and editorial review panels, and shareholder-driven sunk-cost pressures.

Conclusion:ย The 567-trial record constitutes a structural verdict on a model of drug development that was never designed to solve a problem of this complexity. The uniformity of negative results across all mechanism categoriesโ€”amyloid, tau, neuroinflammation, metabolic, and synapticโ€”points toward deeper problems of disease definition, intervention timing, and endpoint validity that institutional and financial pressures have prevented the field from confronting. The Dominantly Inherited Alzheimer Network (DIAN) biomarker data demonstrates that pathology precedes symptoms by 15โ€“25 years; the 2025 DIAN Trials Unit (DIAN-TU) extension provides the first evidence that treatment before symptom onset may delay dementia. Prevention trials in asymptomatic at-risk populations represent the only strategy the accumulated trial record has not yet refuted.

A new oral pill drug for pancreatic cancer extends life on average 13.2 months compared to 6.7 months for harsh chemotherapy.

A new oral pill drug approved by the FDA for treatment of pancreatic cancer extends life on average 13.2 months compared to 6.7 months for harsh chemotherapy.ย The drug operates through a first-in-class “molecular glue” tricomplex mechanism that targets the active, GTP-bound “ON” state of both mutant and wild-type RAS proteins. [1, 2, 3]

The FDA approved the drug for treating advanced metastatic pancreatic cancer after the landmark RASolute 302 phase 3 trial demonstrated that it nearly doubled the median overall survival time compared to standard chemotherapy (13.2 months vs. 6.7 months). [4, 5, 6]

Step-by-Step Mechanism of Action

Chaperone Binding (Bicomplex Formation)Daraxonrasib is an oral small molecule that first binds non-covalently to an abundant cellular helper/chaperone protein called cyclophilin A (CypA) inside the cell. This binding forms an initial binary complex.

Steric Blockade (Tricomplex Formation)The newly formed CypA-daraxonrasib structure creates a highly specific, complementary surface that physically “glues” itself to RAS superfamily proteins (including KRAS, HRAS, and NRAS). This results in a stable ternary (tri-complex) structure.

Shutting Down the “ON” Signalย Unlike first-generation RAS inhibitors that only bind to the inactive “OFF” (GDP-bound) state, the drug targets RAS in its active “ON” (GTP-bound) state. By physically locking onto RAS(ON), the large tricomplex creates a steric barrier that blocks RAS from binding to its downstream effectors.

Pathway Suppression

By breaking the connection between RAS and its effectors, the drug successfully shuts down the RAF-MEK-ERK (MAPK) and PI3K-AKT-mTOR cell signaling cascades. Without these signals, the uncontrolled proliferation and survival of the tumor cells are halted, prompting cell death. [1, 10]

Why It Is Considered a “Landmark” Discovery

Multi-Selective / Pan-RAS Target: Over 90% of pancreatic cancers are driven by RAS mutations, but they vary by subtype (e.g., G12D, G12V, G12R, Q61X). Previous drugs could only target single mutations (like KRAS G12C).

The new drug is a pan-RAS inhibitor that works across almost all major variants, bypassing decades of failure in trying to target “undruggable” RAS variants.

Bypasses Tumor Resistance: Cancers often develop resistance to “OFF-state” drugs by rapidly looping back into active signaling. Because daraxonrasib targets the active state directly, it curbs this adaptive resistance loop. [10]

The Goal of Achieving Medicare-for-All

BRIAHNA JOY GRAY: Let’s talk about something like Medicare for All, which Bernie has already done the work of making popular. It went from a 37% approval prior to 2016 to enjoying 90% approval among Democrats, high 60s% approval among independents, and 49% approval among Republicans even.

If you have a so-called socialist, a DSA candidate like AOC, who, by the way, now says that she is not a member of the national DSA. Right? She says, “I’m a member of the New York DSA, but not the national DSA,” which is not a thing you can do. That’s not a real thing. These are the kind of pivots that are getting made. And for what? For, I believe, a presidential run, but that’s really a vice presidential run. If our ambitions have gone from electing someone who will fight for and win Medicare for All to getting a socialist in the White House as the vice president, and that person is actively saying that Hakeem Jeffries should be Speaker of the House, when just this past week Hakeem Jeffries says that he does not support Medicare for All?

Then again, what are we doing? My previous image of the left winning and then having Black people come overโ€” do I want this neutered version of the left to be the face of the left? And to shift Black people into what is another version of the status quo so that all those Black people in South Carolina, in Jim Clyburn’s districtโ€” Jim Clyburn, who takes more money from the pharmaceutical industry than any other member of Congressโ€” can continue to deny them a right to healthcare so that it has some of the lowest health outcomes in the entire country that mirror some of those in the Global South, in the richest country in the history of the world? Is that what this work that I’m doing, that we’re all doing, and that theโ€” collective left has been doing is for?

Look, I too would like to not be living an Upton Sinclair novel. That being said, that is not my job. I didn’t quit the law firm and take a pay cut ’cause I wanted to go back to the Clinton years.

 

AAV9 immunogenicity as a scalability trap. PROJECT OPTIMUS to boot.

AAV9 immunogenicity as a scalability trap. PROJECT OPTIMUS to boot. The anti-AAV9 titer cutoff of โ‰ค1:50 reflects a real immunological constraint: patients with prior AAV9 exposure mount a neutralizing immune response that reduces transduction efficiency and risks severe inflammation. https://www.sciencedirect.com/science/article/pii/S1359644626001571?dgcid=authorhttps://lnkd.in/g2YVjCDb
Pre-existing anti-AAV9 antibodies are present in roughly 30โ€“50% of the general population, with the exact rate depending on age, geography, and assay methodology.(p19) The immediate consequence is that a meaningful proportion of otherwise eligible ALS patients will be excluded from treatment on serologic grounds alone. Applying that 30โ€“50% background seroprevalence range directly to the ALS population โ€“ absent ALS-specific serosurvey data, which do not yet exist โ€“ implies that roughly one-third to one-half of otherwise trial-eligible patients could be excluded by the โ‰ค1:50 titer cutoff alone, before any other eligibility criterion is applied. This figure should be treated as an extrapolation from general-population data rather than a population-specific estimate.

A related and distinct consideration is that patients who receive an irreversible, single-administration gene therapy are typically excluded from participating in essentially all other clinical trials thereafter, because of the permanent nature of the intervention. This constrains the eligible patient pool through a mechanism separate from AAV9 seroconversion: prior participation in any gene therapy trial โ€“ AAV9-based or otherwise โ€“ will limit eligibility for subsequent studies regardless of a patientโ€™s current anti-AAV9 titer.

The longer-term scalability consideration compounds both effects. Because AAV-based gene therapies proliferate across neuromuscular indications, seroconversion rates among potential ALS patients could plausibly rise with successive exposures from other therapeutic programs, although this trend has not yet been directly measured in the ALS population and should be treated as a hypothesis rather than an established trajectory. Celosiaโ€™s commercial forecasts should model this dynamic explicitly; a therapy that works but can only be administered to a diminishing fraction of eligible patients is not, on its own, a durable therapeutic platform.

Dose optimization and regulatory imperatives

Although the KOANEWA trial follows a conventional Phase Ib safety design, its long-term success will likely hinge on adopting more rigorous dose-optimization strategies to mitigate the risks inherent to irreversible gene therapy. Figure 3 contrasts the limitations of the traditional โ€˜acceleratedโ€™ pipeline with an optimized framework modeled after oncological dose-selection principles, highlighting the necessity of data-driven target engagement for central nervous system (CNS) gene therapies.

View image

A methodological audit: Where the glasses may be rose-colored

A methodological audit: Where the glasses may be rose-coloredย  https://authors.elsevier.com/a/1nYxN4r9Rkz1wZ

The open-label problem

KOANEWA is a Phase Ib, open-label, non-randomized, single-dose study (ClinicalTrials.govย identifier: NCT07401121). The CENTAUR trial was open-label in its earliest iterations, and its 25% ALSFRS-R signal dissolved entirely under the blinded conditions of the PHOENIX Phase III trial (https://www.amylyx.com/news/amylyx-pharmaceuticals-announces-topline-results-from-global-phase-3-phoenix-trial-of-amx0035-in-als).(p2),(p3)ย Because the subjective ALSFRS-R is highly susceptible to expectation bias from both patients and investigators, unblinded designs evaluating high-visibility novel gene therapies face severe validation challenges. Without a sham or vehicle control arm โ€“ which, while ethically challenging to justify in a Phase Ib safety study, is not impossible to approximate through delayed-treatment or waitlist designs โ€“ any functional signal from KOANEWA cannot be attributed to CTx1000 with statistical confidence.

The biomarker gap

The field has converged on neurofilament light chain (NfL) as the leading surrogate end point in ALS, and NfL reduction formed the biomarker backbone of tofersenโ€™s accelerated approval.(p5)ย KOANEWAโ€™s secondary end points include NfL in cerebrospinal fluid and plasma (ClinicalTrials.govย identifier: NCT07401121). The fundamental limitation is that NfL is a downstream marker of axonal damage: a readout of neuronal death, not of TDP-43โ€“14-3-3 complex formation, pathological aggregate clearance, or target engagement at the molecular level. Crucially, because there is currently no validated living-patient biomarker for TDP-43 aggregate clearance itself, NfL shifts remain ambiguous: a reduction suggests slower neurodegeneration but does not confirm specific 14-3-3/degron target engagement, while an unchanged NfL cannot distinguish between a lack of molecular efficacy, an unengaged target, or poor regional biodistribution.
A more mechanistically proximal alternative is emerging. Because nuclear TDP-43 loss of function produces measurable cryptic-exon-containing RNA species (inย STMN2,ย UNC13A, and other transcripts), these cryptic transcripts and their potential protein products are increasingly discussed as candidate biofluid biomarkers of TDP-43 functional status, distinct from NfLโ€™s non-specific readout of neuronal injury.(p11),(p12)ย Developing a validated assay along these lines โ€“ whether a cerebrospinal fluid assay for cryptic RNA species, the TDP-43โ€“14-3-3 complex itself, or a positron emission tomography (PET) ligand for TDP-43 pathology โ€“ might be as crucial to the fieldโ€™s long-term progress as CTx1000 itself. Celosiaโ€™s clinical development plan should explicitly address this gap, rather than relying on NfL as a proxy for mechanism.

The exclusion criteria paradox

KOANEWA requires disease onset within two years, excludes C9ORF72 repeat expansion carriers (the most common genetic form of ALS-FTD, accounting for approximately 40% of familial and 5โ€“10% of sporadic ALS cases(p17)), and imposes an anti-AAV9 titer cutoff of โ‰ค1:50 at enrollment (ClinicalTrials.govย identifier: NCT07401121). These criteria create a highly selected, non-generalizable patient population. Early-onset, non-C9ORF72, seronegative TDP-43 proteinopathy patients might respond differently from the broader sporadic ALS population in whom any eventual therapy must demonstrate real-world value. It is also worth noting that many other ALS trials already restrict enrollment to genetically defined or otherwise selected subpopulations, so KOANEWAโ€™s recruitment feasibility is unlikely to be limited by these filters, even though the resulting evidence base will be narrow.ย Figure 2ย illustrates the KOANEWA eligibility criteria and their non-generalizability for the ALS patient population.

Target-Specific Organs at Risk and Mitigation Strategies for 212Pb-TAT and FAP-Targeted Analogs

Guth MAS. Implementing 212 Pb-Targeted Alpha Therapy: A Safety-First Theranostic Framework for Clinical Practice. Clin Nucl Med Open. 2026;3(3):DOI: 10.1097/nm9.0000000000000092.

Table 1. Target-Specific Organs at Risk and Mitigation Strategies for Pb-212-TAT and FAP-Targeted Analogs

Organ/Tissue SSTR2/FAP Expression Primary Radiation Risk Proactive Mitigation and Monitoring Strategy
Pituitary Gland High (SUVmax โ‰ˆ 15โ€“25) Hypopituitarism (central hypothyroidism, hypogonadism, adrenal insufficiency) Pre-Tx: Quantify Tumor-to-Pituitary SUV ratio. Dosimetry: Establish/respect absorbed dose limit (e.g., < 15 Gy). Monitoring: Baseline and annual pituitary axis panel (TSH/fT4, morning cortisol, testosterone/estradiol, LH/FSH) for โ‰ฅ 10 years.
Bone Marrow Low (progenitor cell subsets) Cytopenias; Therapy-Related Myeloid Neoplasms (t-MDS/AML) Dosimetry: Apply red marrow absorbed dose constraints. Monitoring: Pre-cycle CBC with differential; annual CBC and peripheral blood smear for โ‰ฅ 5โ€“10 years post-therapy.
Kidneys Very Low Chronic nephropathy Mitigation: Mandatory renoprotective amino acid infusion during therapy. Monitoring: Baseline and annual serum creatinine / eGFR.
Vasculature (FAP-specific) Atherosclerotic plaques Plaque Instability / Accelerated Atherosclerosis Imaging: Baseline FAPI-PET screening for vascular ‘hot spots’ to quantify atherosclerotic burden. Exclusion: Consider exclusion of patients with diffuse vascular uptake (e.g., SUVmax > 10 in major vessels) pending safety data.
Lungs (FAP-specific) Fibrotic tissues (IPF) Radiation-induced pneumonitis / Exacerbation of fibrosis Pre-Tx: Detailed respiratory history; consider high-resolution chest CT if clinically indicated. Monitoring: Baseline and periodic pulmonary function tests (PFTs) in patients with known interstitial lung disease or significant FAPI uptake in lung parenchyma.
Liver (FAP-specific) Cirrhosis / Fibrosis Radiation-induced liver disease (RILD); Hepatic failure Pre-Tx: Baseline LFTs and FibroScan (stiffness). Imaging: FAPI-PET to assess “background” hepatic uptake.
Joints (FAP-specific) Activated Synovium (RA/OA) Synovitis / Radiation-induced joint inflammation Pre-Tx: Detailed history of inflammatory arthropathy; consider rheumatology consultation for patients with active RA/OA. Monitoring: Assessment of joint pain/swelling post-therapy in patients with high baseline joint uptake on FAPI-PET.
Uterus (FAP-specific) Gravid Uterine Stroma Fetal radiation exposure Exclusion: Mandatory pregnancy testing; highly effective contraception protocols per radiopharmaceutical clinical trial standards.
Other Endocrine Tissues Pancreatic Islets (Alpha cells), Thyroid Subclinical dysfunction / Metabolic effects Monitoring: Consider baseline and periodic assessment of glucose metabolism (HbA1c) and thyroid function (TSH).