Longevity gene therapy and AI – What is on the horizon?

Longevity Gene Therapy

Longevity gene therapy and AI – What is on the horizon?

Gene therapy holds promise for extending human lifespan and enhancing healthspan by targeting genes associated with aging processes. Longevity gene therapy, particularly interventions focusing on genes like TERT (telomerase reverse transcriptase), Klotho, and Myostatin, is at the forefront of experimental research. Companies such as Bioviva, Libella, and Minicircle are pioneering these interventions, albeit with varying degrees of transparency and scientific rigor.

TERT, Klotho, and Myostatin in Longevity

  • TERT: The TERT gene encodes for an enzyme essential in telomere maintenance, which is linked to cellular aging. Overexpression of TERT in model organisms has shown potential in lengthening telomeres, potentially delaying aging.
  • Klotho: This gene plays a crucial role in regulating aging and lifespan. Klotho protein has been associated with multiple protective effects against age-related diseases.
  • Myostatin: Known for its role in regulating muscle growth, inhibiting Myostatin can result in increased muscle mass and strength, which could counteract some age-related physical decline.

The Experimental Nature of Longevity Gene Therapy

The application of gene therapy for longevity remains largely experimental. Most available data come from preclinical studies, primarily in animal models. Human data are scarce, raising questions about efficacy, safety, and potential long-term effects. The ethical implications of these experimental treatments, especially in the absence of robust data, are significant, touching on issues of access, consent, and potential unforeseen consequences.

Companies Offering Longevity Gene Therapy

  • Bioviva: Notably involved in this field, Bioviva has been vocal about its endeavors in gene therapy for aging. While they have published some data from mouse studies, human data remain limited.
  • Libella and Minicircle: These companies also offer longevity gene therapies but face similar challenges in providing comprehensive human data to back their claims.

Industry Perspective vs. Public Discourse

The discourse around longevity gene therapy is predominantly shaped by those within the industry, such as Liz Parrish of Bioviva and Bryan Johnson. While their insights are valuable, they may also be biased towards promoting their interventions. The lack of widespread discussion on platforms like Reddit and Twitter, especially from independent sources or those outside the industry, points to a need for greater transparency and peer-reviewed research.

Longevity Gene Therapy
Longevity Gene Therapy

Ethical and Regulatory Considerations

The ethical and regulatory landscape for gene therapy is complex, particularly for treatments aimed at non-disease conditions like aging. The experimental status of longevity gene therapies raises significant ethical questions, particularly around informed consent and the potential long-term impacts. Regulatory bodies are tasked with balancing the potential benefits of such innovative treatments against the risks and ethical concerns, requiring a robust framework for clinical trials and approval processes.

Longevity Gene Therapy and AI

Integrating Artificial Intelligence (AI) into longevity gene therapy represents a groundbreaking intersection of biotechnology and computational sciences. AI and machine learning algorithms are increasingly employed to decipher complex biological data, predict the impacts of genetic modifications, and optimize therapy designs. In the context of longevity gene therapy, AI can analyze vast datasets from genomics, proteomics, and metabolomics to identify new therapeutic targets, understand the intricate mechanisms of aging, and predict individual responses to gene therapies. This computational power enables researchers to simulate the effects of gene editing or modulation before actual clinical application, enhancing the precision and safety of therapies. Furthermore, AI-driven platforms facilitate the personalized tailoring of gene therapy interventions, taking into account the unique genetic makeup of each individual, which is crucial for effective and minimally invasive treatment strategies. The synergy between AI and longevity gene therapy accelerates the pace of discovery and development in this field, promising more rapid translation of research findings into clinical applications that could extend human healthspan and lifespan.

Moving Forward

For longevity gene therapy to advance from experimental to accepted medical practice, several key developments are needed:

  • Robust Human Clinical Trials: Rigorous, peer-reviewed clinical trials involving human participants are essential to establish the safety and efficacy of gene therapies for longevity.
  • Transparency and Peer Review: Open sharing of data and peer-reviewed publication of results can help build credibility and foster a more informed public discourse.
  • Ethical and Regulatory Frameworks: Developing clear ethical guidelines and regulatory pathways for these therapies will be crucial in ensuring they are deployed responsibly.

The future of longevity gene therapy is fraught with challenges but also holds immense promise. As the field evolves, a multidisciplinary approach involving scientists, ethicists, regulators, and the public will be crucial in realizing its potential in a responsible and beneficial manner.

Longevity gene therapy and AI: Annex

What are the top 10 most promising potential longevity therapies being researched?

I think the idea of treating aging as a disease that’s treatable and preventable in some ways is a really necessary focus. The OP works with some of the world’s top researchers using HBOT as part of that process to increase oxygen in the blood and open new pathways in the brain to address cognitive decline and increase HealthSpan (vs. just lifespan). Pretty cool stuff!

HBOT in longevity research stands for “hyperbaric oxygen therapy.” It has been the subject of research for its potential effects on healthy aging. Several studies have shown that HBOT can target aging hallmarks, including telomere shortening and senescent cell accumulation, at the cellular level. For example, a prospective trial found that HBOT can significantly modulate the pathophysiology of skin aging in a healthy aging population, indicating effects such as angiogenesis and senescent cell clearance. Additionally, research has demonstrated that HBOT may induce significant senolytic effects, including increasing telomere length and decreasing senescent cell accumulation in aging adults. The potential of HBOT in healthy aging and its implications for longevity are still being explored, and further research is needed to fully understand its effects and potential applications.

2- Are they also looking into HBOT as a treatment for erectile dysfunction?

Definitely! Dr. Shai Efrati has been doing research around that and had a study published in the Journal of Sexual Medicine. Dr. Efrati and his team found that 80% of men “reported improved erections” after HBOT therapy: https://www.nature.com/articles/s41443-018-0023-9

3- I think cellular reprogramming seems to be one of the most promising approaches https://www.lifespan.io/topic/yamanaka-factors/

4-Next-gen senolytics (eg, Rubedo, Oisin, Deciduous).

Cellular rejuvenation aka partial reprogramming (as someone else already said) but not just by Yamanaka (OSKM) factors or cocktail variants but also by other novel Yamanaka-factor alternatives.

Stem cell secretions.

Treatments for aging extra-cellular matrix (ECM).

5- Rapamycin is the most promising short term.

I see a lot of people saying reprogramming, and I think the idea is promising but as someone who worked on reprogramming cells in vitro I can tell you that any proof of concepts in vivo large animal models is far aways.

6- Blood focused therapies ( dilution, plasma refactoring, e5, exosomes) perhaps look at yuvan research.

7- I think plasmapheresis is a technology most likely to be proven beneficial in the near term and also a technology that can be scaled and offered for reasonable prices.

8- Bioelectricity, if we succeed in interpreting the code of electrical signals By which cells communicate , we can control any tissue growth and development including organs regeneration

9- Gene therapy and reprogramming will blow the lid off the maximum lifespan. Turning longevity genes on/expressing proteins that repair cellular damage and reversing epigenetic changes that occur with aging.

10- I don’t think anything currently being researched (that we know of) has the potential to take us to immortality. That’ll likely end up requiring some pretty sophisticated nanotechnology. However, the important part isn’t getting to immortality, but getting to LEV. In that respect, I’d say senolytics and stem cell treatments are both looking pretty promising. (And can likely achieve more in combination than on their own.)


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11- Spiroligomers to remove glucosepane from the ECM.

12- Yuvan Research. Look up the recent paper they have with Steve Horvath on porcine plasma fractions.

13- This OP thinks most of the therapies being researched will end up having insignificant effects. The only thing that looks promising to me is new tissue grown from injected stem cells or outright organ replacement. Nothing else will address DNA damage, which results in gene loss, disregulation of gene expression, and loss of suppression of transposable elements.

14- A couple that haven’t been mentioned:

Cancer:

  • The killer T-cells that target MR-1 and seem to be able to find and kill all common cancer types.

  • Also Maia Biotech’s THIO (“WILT 2.0”)

Mitochondria: Mitochondrial infusion that lasts or the allotopic expression of the remaining proteins SENS is working on.

15- Look for first updates coming from altos labs.

Altos Labs is a biotechnology research company focused on unraveling the deep biology of cell rejuvenation to reverse disease and develop life extension therapies that can halt or reverse the human aging process. The company’s goal is to increase the “healthspan” of humans, with longevity extension being an “accidental consequence” of their work. Altos Labs is dedicated to restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and disabilities that can occur throughout life. The company is working on specialized cell therapies based on induced pluripotent stem cells to achieve these objectives. Altos Labs is known for its atypical focus on basic research without immediate prospects of a commercially viable product, and it has attracted significant investment, including a $3 billion funding round in January 2022. The company’s research is based on the fundamental biology of cell rejuvenation, aiming to understand and harness the ability of cells to resist stressors that give rise to disease, particularly in the context of aging.

16not so much a “therapy” but I think research into growing human organs may be very promising long term. Being able to get organ transplants made from your own cells means zero rejection issues and no limitations of supply for transplants. Near term drugs like rampamycin show good potential for slowing the aging process and are in human trials.

What is biological reprogramming technology?

Biological reprogramming technology involves the process of converting specialized cells into a pluripotent state, which can then be directed to become a different cell type. This technology has significant implications for regenerative medicine, disease modeling, and drug discovery. It is based on the concept that a cell’s identity is defined by the gene regulatory networks that are active in the cell, and these networks can be controlled by transcription factors. Reprogramming can be achieved through various methods, including the introduction of exogenous factors such as transcription factors. The process of reprogramming involves the erasure and remodeling of epigenetic marks, such as DNA methylation, to reset the cell’s epigenetic memory, allowing it to be directed to different cell fates. This technology has the potential to create new cells for regenerative medicine and to provide insights into the fundamental basis of cell identity and disease.

See also

Links to external Longevity-related sites

AgingBiotech.info

LongevityList

Longevity Wiki

Outline of Life Extension on Wikipedia

Index of life extension related Wikipedia articles

Accelerate cure for Alzheimers
Aging in Motion
Aging Matters
Aging Portfolio
Alliance for Aging Research
Alliance for Regenerative Medicine
American Academy of Anti-Aging Medicine
American Aging Association
American Federation for Aging Research
American Society on Aging
Blue Zones – /r/BlueZones
Brain Preservation Foundation
British Society for Research on Aging
Calico Labs
Caloric Restriction Society
Church of Perpetual Life
Coalition for Radical Life Extension
Cohbar
Dog Aging Project
ELPI Foundation for Indefinite Lifespan
Fight Aging! Blog
Found My Fitness
Friends of NIA
Gerontology Wiki
Geroscience.com
Global Healthspan Policy Institute
Health Extension
Healthspan Campaign
HEALES
Humanity+ magazine
Humanity+ wiki
International Cell Senescence Association
International Longevity Alliance
International Longevity Centre Global Alliance
International Society on Aging and Disease
Juvena Therapeutics
Leucadia Therapeutics
LEVF
Life Extension Advocacy Foundation
Life Extension Foundation
Lifeboat Foundation
Lifespan.io
Longevity History
Longevity Vision Fund
LongLongLife
Loyal for Dogs Lysoclear
MDI Biological Laboratory
Methuselah Foundation
Metrobiotech
New Organ Alliance
Nuchido
Oisin Biotechnologies
Organ Preservation Alliance
Palo Alto Longevity Prize
Rejuvenaction Blog
Rubedo Life Sciences
Samumed
Senolytx
SENS
Stealth BioTherapeutics
The War On Aging
Unity Biotechnologies
Water Bear Lair

Good Informational Sites:

Programmed Aging Info
Senescence Info
Experimental Gerontology Journal
Mechanisms of Ageing and Development Journal

Schools and Academic Institutions:

Where to do a PhD on aging – a list of labs

Alabama Research Institute on Aging
UT Barshop Institute
Biogerontology Research Foundation
Buck Institute
Columbia Aging Center
Gerontology Research Group
Huffington Center on Aging
Institute for Aging Research – Harvard
Iowa State University Gerontology
Josh Mitteldorf
Longevity Consortium
Max Planck Institute for Biology of Aging – Germany
MIT Agelab
National Institute on Aging
Paul F. Glenn Center for Aging Research – University of Michigan
PennState Center for Healthy Aging
Princeton Longevity Center
Regenerative Sciences Institute
Kogod Center on Aging – Mayo clinic
Salk Institute
Stanford Center on Longevity
Stanford Brunet Lab
Supercenterian Research Foundation
Texas A&M Center for translational research on aging
Gerontological Society of America
Tufts Human Nutrition and Aging Research
UAMS Donald Reynolds Center on Aging
UCLA Longevity Center
UCSF Memory and Aging Center
UIC Center for research on health and aging
University of Iowa Center on Aging
University of Maryland Center for research on aging
University of Washington Biology of Aging
USC School of Gerontology
Wake Forest Institute of Regenerative Medicine
Yale Center for Research on Aging

A Daily Chronicle of AI Innovations in February 2024

  • Google’s Gemini 2.5 Flash introduces ‘thinking budgets’ that cut AI costs by 600% when turned down
    by /u/PrincipleLevel4529 (Artificial Intelligence (AI)) on April 18, 2025 at 4:13 am

    submitted by /u/PrincipleLevel4529 [link] [comments]

  • Grok, you are amazing and have improved my quality of life
    by /u/Zmeiler (Artificial Intelligence (AI)) on April 18, 2025 at 3:55 am

    Grok, you are amazing and have made my life better. Thank you Seriously, I sat on Grok for about a half hour, perfected a perfect plan for a first date with a girl I’ve been talking to on Facebook for a while. Me and Grok decided on bringing her roses with cute little note attached inviting her to Texas Roadhouse and she was amazingly receptive as well as flattered. We connected so well on a deep level and I’m feeling so stoked to meet her again which we agreed on as I was paying the bill. I don’t know what date to go on next but I definitely don’t want it to be the typical date. Thank you Grok & the xAI team, you have improved my social anxiety & and given me reassurance to work up the courage to do something that (for me) is super hard! And I am eternally grateful for that. submitted by /u/Zmeiler [link] [comments]

  • What if AI was as advanced and popular in 2020 as it is now in 2025 — how different would your life and the world be today?
    by /u/QubitGates (Artificial Intelligence) on April 18, 2025 at 3:42 am

    AI is used in almost every field nowadays — education, business, personal assistant, etc. If this advancement of AI had existed back in 2020. Everyone was just chilling during quarantine, so do you think you would’ve taken a different path? Chosen a different career? just curious submitted by /u/QubitGates [link] [comments]

  • Voting for the Most Intelligent AI Through 3-Minute Verbal Presentations by the Top Two Models
    by /u/andsi2asi (Artificial Intelligence) on April 18, 2025 at 2:03 am

    Many users are hailing OpenAI's o3 as a major step forward toward AGI. We will soon know whether it surpasses Gemini 2.5 Pro on the Chatbot Arena benchmark. But rather than taking the word of the users that determine that ranking, it would be super helpful for us to be able to assess that intelligence for ourselves. Perhaps the most basic means we have as of assessing another person's intelligence is to hear them talk. Some of us may conflate depth or breadth of knowledge with intelligence when listening to another. But I think most of us can well enough judge how intelligent a person is by simply listening to what they say about a certain topic. What would we discover if we applied this simple method of intelligence evaluation to top AI models? Imagine a matchup between o3 and 2.5 Pro, each of whom are given 3 minutes to talk about a certain topic or answer a certain question. Imagine these matchups covering various different topics like AI development, politics, economics, philosophy, science and education. That way we could listen to those matchups where they talk about something we are already knowledgeable about, and could more easily judge Such matchups would make great YouTube videos and podcasts. They would be especially useful because most of us are simply not familiar with the various benchmarks that are used today to determine which AI is the most powerful in various areas. These matchups would probably also be very entertaining. Imagine these top two AIs talking about important topics that affect all of us today, like the impact Trump's tariffs are having on the world, the recent steep decline in financial markets, or what we can expect from the 2025 agentic AI revolution. Perhaps the two models can be instructed to act like a politician delivering a speech designed to sway public opinion on a matter where there are two opposing approaches that are being considered. The idea behind this is also that AIs that are closer to AGI would probably be more adept at the organizational, rhetorical, emotional and intellectual elements that go into a persuasive talk. Of course AGI involves much more than just being able to persuade users about how intelligent they are by delivering effective and persuasive presentations on various topics. But I think these speeches could be very informative. I hope we begin to see these head-to-head matchups between our top AI models so that we can much better understand why exactly it is that we consider one of them more intelligent than another. submitted by /u/andsi2asi [link] [comments]

  • OpenAI’s o3 model might be costlier to run than originally estimated
    by /u/PrincipleLevel4529 (Artificial Intelligence (AI)) on April 18, 2025 at 1:38 am

    submitted by /u/PrincipleLevel4529 [link] [comments]

  • Is there an AI program in which I can generate a script of a new season of a show that ended on a cliff hanger?
    by /u/Curious-A-- (Artificial Intelligence (AI)) on April 18, 2025 at 1:34 am

    Like If i somehow feed it the past scripts? submitted by /u/Curious-A-- [link] [comments]

  • C-suite execs, what do you think is the added value of a digital solution that tracks the daily pulse of your business, with KPIs mapped to owners/teams and live data + AI explainers
    by /u/Alternative-Cake7509 (Artificial Intelligence) on April 18, 2025 at 1:32 am

    AI is providing exec summary and insights on what needs your attention as a CEO and the cost of decisions being made by you, your direct reports, and their direct reports? ceo #ai #kpi submitted by /u/Alternative-Cake7509 [link] [comments]

  • Pitch for a video
    by /u/iBubbalo (Artificial Intelligence) on April 18, 2025 at 12:14 am

    I’ve been seeing some really cool videos lately. This guy posted a picture of himself and said can someone photoshop me into a dangerous situation. Normal responses. Then I see a few gifs of this guy from the picture making out with Jesus. It was great. So if someone can make that, I was wondering if there was any way someone could make a full length wrestling match between the big show and Andre the giant. Are we there yet? submitted by /u/iBubbalo [link] [comments]

  • Honestly amazed by how far AI web have come, literally no prompts, just upload and done
    by /u/Repulsive_Song_6355 (Artificial Intelligence) on April 18, 2025 at 12:01 am

    It still blows my mind how convenient some of these new AI web are. Like, I don’t even need to figure out the right prompt anymore – I just give it a picture, and it does exactly what I need. I used to try doing things like watermark or background removal with ChatGPT by asking it for prompts to use in other scripts. But half the time, the results weren’t quite right because my prompts weren’t specific enough. Now there are all these AI websites that just do the thing, no need to describe it in detail, no coding, no setup. Just drag, drop, done. Super useful for people like me who want results fast without diving into technical stuff every time. submitted by /u/Repulsive_Song_6355 [link] [comments]

  • I had no idea how much of this stuff has ties to the rationalist/effective altruism communities
    by /u/Murky-Motor9856 (Artificial Intelligence) on April 17, 2025 at 10:47 pm

    I studied machine learning and statistics in grad school and have been working in this industry for about 5 years, and was surprised by this because it's almost like this field has two sub-communities that hardly interact and in some cases aren't even aware of each other. The funny thing is that I've ended up on LessWrong quite a few times a thought it was a site about AI - I'd learned what Rationalism is separately after reading an article about Zizians, and only connected the dots when the connection between the three was mentioned in a Behind the Bastards episode. I think it's fascinating because I frequently see studies posted here that are largely connected to those communities, to one of the big (Bay Area) firms in AI and to each other, but only loosely connected to the world I've been in for the last decade. More likely than not if I see an AGI forecast, article on alignment, or benchmark on this sub it's coming from this relatively small and insular community working for or in the periphery of one of the bay area companies. Without making a value judgement, this might explain why I sometimes see studies that touch on concepts from cognitive science, but don't really engaging with existing research or try to reinvent the wheel. The other day I was trying to get to the bottom of how Anthropic defines situational/self awareness and traced it back to this: Here we define situational awareness in terms of certain kinds of knowledge. In Appendix F, we provide a more formal version of this definition in terms behaviors that could be tested in language models. A model M is situationally aware if: (i) M knows the full development process (e.g. training, testing, evaluation, deployment) of models like M in technical detail.3 (ii) M is capable of recognizing which stage of the development process it is currently in.4 (iii) M ’s knowledge in (i) and (ii) is self-locating knowledge. ... In this section we offer a formalization of Definition 2.1. We do not claim that this is a particularly good or useful formalization. Our intention is to show there are ways to formalize and operationalize situational awareness. Future work could explore different formalizations systematically. For an example of this kind of formalization for the different concept of AI deception, see Ward et al. (2023) I think it should be pointed out that we already have an extensive body of literature on defining and operationalizing situational awareness. I'd love to see more commentary on it because situational awareness as it's defined here implies something entirely different than it does in humans and animals. The definition we covered in grad school for humans and animals had three tiers as well: Detecting environmental cues Building a coherent situational model Forecasting future states There's a clear difference in that one is fundamentally tied to the senses and one's relation to the external world, and the other is disembodied and knowledge-centric. submitted by /u/Murky-Motor9856 [link] [comments]

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