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

Longevity Gene Therapy

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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.

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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:

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  • 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.

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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.

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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.)

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:


  • 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.

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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



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
Dog Aging Project
ELPI Foundation for Indefinite Lifespan
Fight Aging! Blog
Found My Fitness
Friends of NIA
Gerontology Wiki
Global Healthspan Policy Institute
Health Extension
Healthspan Campaign
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
Life Extension Advocacy Foundation
Life Extension Foundation
Lifeboat Foundation
Longevity History
Longevity Vision Fund
Loyal for Dogs Lysoclear
MDI Biological Laboratory
Methuselah Foundation
New Organ Alliance
Oisin Biotechnologies
Organ Preservation Alliance
Palo Alto Longevity Prize
Rejuvenaction Blog
Rubedo Life Sciences
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

  • One-Minute Daily AI News 4/19/2024
    by /u/Excellent-Target-847 (Artificial Intelligence) on April 20, 2024 at 2:55 am

    Google consolidates its DeepMind and Research teams amid AI push.[1] US Air Force stages dogfights with AI-flown fighter jet.[2] Microsoft’s New AI Can Make Photographs Sing and Talk — and It Already Has the Mona Lisa Lip-Syncing.[3] The International Olympic Committee Friday launched its so-called Olympic AI Agenda to lay out guiding principles and identify governing rules to mitigate risk and promote the responsible use of artificial intelligence.[4] Sources: [1] https://www.reuters.com/technology/google-consolidates-its-deepmind-research-teams-amid-ai-push-2024-04-18/ [2] https://www.defensenews.com/air/2024/04/19/us-air-force-stages-dogfights-with-ai-flown-fighter-jet/ [3] https://www.entrepreneur.com/business-news/microsofts-new-ai-vasa-app-makes-photos-talk-and-sing/472983 [4] https://www.upi.com/Top_News/World-News/2024/04/19/IOC-AI-agenda/6821713553928/ submitted by /u/Excellent-Target-847 [link] [comments]

  • I created an AI-powered job board using smart filters to help you land your dream job
    by /u/lolaks181203 (Artificial Intelligence) on April 19, 2024 at 11:49 pm

    Hi everyone, I'm excited to share a project I've been working on for about a year. I've developed a job board designed to help job seekers land their dream jobs and assist recruiters in finding the perfect candidates. It uses AI-powered smart matching and filtering to improve the search process. Please take a moment to check it out and I would love to hear your feedback! https://skillexchange.xyz/ submitted by /u/lolaks181203 [link] [comments]

  • Dropped 100 AI Bots into Minecraft, told them to follow me, and led them into a pool of lava. They found every way to avoid it instead (for the most part)
    by /u/WheelMaster7 (Artificial Intelligence) on April 19, 2024 at 7:39 pm

    submitted by /u/WheelMaster7 [link] [comments]

  • Consumer AI is having a utility problem
    by /u/alexvoica (Artificial Intelligence) on April 19, 2024 at 7:24 pm

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

  • A24's AI 'Civil War' Posters Aren't Thrilling People
    by /u/Smallpaul (Artificial Intelligence) on April 19, 2024 at 7:08 pm

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  • [Discussion] Is Google Set to Dominate the RAG Scene with Its Massive Data Resources?
    by /u/Few-Pomegranate4369 (Artificial Intelligence) on April 19, 2024 at 5:05 pm

    It looks like in a few years, the basic large language models (LLMs) we use will get commoditised, and it won't really matter which one you pick. The next big thing could be LLMs that use Retrieval-Augmented Generation (RAG), which means they need a ton of data to work well. Given that Google has access to loads of data through its search engine, do you think they're in a better position to lead in this new phase compared to other companies? What do you all think? submitted by /u/Few-Pomegranate4369 [link] [comments]

  • This week in AI - all the Major AI developments in a nutshell
    by /u/wyem (Artificial Intelligence) on April 19, 2024 at 3:33 pm

    Meta released: Meta Llama 3 family of large language models in 8 and 70B sizes. The training dataset (15T+ tokens) is seven times larger than that used for Llama 2. Meta believes these to be the best open source models of their class. The models achieve substantially reduced false refusal rates, increased diversity in model responses and improved capabilities. The upcoming Llama 3 400B model (still in training) is competitive to GPT-4/ Claude 3 Opus class of models. Meta also released new Meta Llama trust & safety tools featuring Llama Guard 2, Code Shield and Cybersec Eval 2 [Details | Model Card | Getting Started ]. Meta AI: an intelligent assistant that integrates Llama 3 in a ChatGPT like interface. It can be accessed on web without login and is also available in search across Facebook, Instagram, WhatsApp and Messenger [Details]. Imagine Flash: Meta AI’s Imagine feature now enables creating images from text in real-time. You’ll see an image appear as you start typing and it’ll change with every few letters typed [Paper]. Reka AI introduced Reka Core, a multimodal, multilingual language model with 128K context window and trained from scratch. It has powerful contextualized understanding of images, videos, and audio. Core is competitive with GPT-4V and Claude-3 Opus and surpasses Gemini Ultra on video tasks [Details]. StabilityAI announced Stable Assistant, a friendly chatbot powered by Stability AI’s text and image generation technology, featuring Stable Diffusion 3 and Stable LM 2 12B. Stable Diffusion 3 and Stable Diffusion 3 Turbo are now available on the Stability AI Developer Platform API. Model weights will be available soon. StabilityAI has partnered with Fireworks AI, to deliver Stable Diffusion 3 and Stable Diffusion 3 Turbo [Details]. MistralAI shared the details of their latest model Mixtral 8x22B released under Apache 2.0. It is a sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B, offering cost efficiency for its size. It is natively capable of function calling, has 64K tokens context window and is fluent in English, French, Italian, German, and Spanish. The instructed version of the Mixtral 8x22B has also now been released [Details]. Microsoft Research introduced VASA, a framework for generating lifelike talking faces of virtual characters. By utilizing a single static image and an accompanying speech audio clip, VASA can generate highly realistic lip-audio synchronization, lifelike facial expressions, and natural head movements, all in real-time. This is only a research demonstration and there's no product or API release plan [Details]. Wayve introduced LINGO-2, a driving model that links vision, language, and action to explain and determine driving behavior. It can both generate real-time driving commentary and control a car. LINGO-2 is the first closed-loop vision-language-action driving model (VLAM) tested on public roads [Details]. Hugging Face researchers released Idefics2, a general open multimodal model that takes as input arbitrary sequences of texts and images, and generates text responses. It is built on top of two pre-trained models: Mistral-7B-v0.1 and siglip-so400m-patch14-384. Idefics2 shows strong performance for a model of its size (8B parameters) when compared to other open multimodal models and is often competitive with closed-source systems [Details]. Microsoft Research released SAMMO, a new open-source tool that streamlines the optimization of prompts [Details ]. Tencent released InstantMesh, an open-source framework for efficient 3D mesh generation from a single image. InstantMesh is able to create diverse 3D assets within 10 seconds [Hugging Face Demo | GitHub] . Poe, the AI chat app by Quora, has added a new feature to Poe: multi-bot chat. It lets you easily chat with multiple models in a single thread, compare the responses and discover optimal combinations of models for various tasks. For instance, users can do in-depth analysis with Gemini 1.5 Pro’s 1M token context window, mention Web Search bot into the conversation to pull in up-to-date information about the topic, and then bring a specialized writing bot in to complete a writing task, using the context from all of the previous bots [Details]. OpenAI announced new features and improvements to the Assistants API. This includes an improved retrieval tool, file_search, which can ingest up to 10,000 files per assistant. It works with the new vector store objects for automated file parsing, chunking, and embedding [Details]. Zyphra released Zamba, a novel 7B parameter foundation model (Mamba blocks with a global shared attention layer). It outperforms LLaMA-2 7B and OLMo-7B on multiple benchmarks despite requiring less than half of the training data. Zamba-7B has been developed by 7 people, on 128 H100 GPUs, in 30 days. All checkpoints are released open-source (Apache 2.0) [Details]. Cohere announced the private beta for Cohere Compass, a new foundation embedding model that allows indexing and searching on multi-aspect data. Cohere Compass is designed to address multi-aspect data like emails, invoices, CVs, support tickets, log messages, and tabular data [details]. OpenAI released a new Batch API for cost-effective bulk processing of asynchronous tasks like summarization, translation, and image classification. Users can upload a file of bulk requests, receive results within 24 hours, and get 50% off API prices [Link]. Blackmagic Design announced DaVinci Resolve 19 a major new update which adds new AI tools for motion tracking and color grading [Details]. xAI announced Grok-1.5V, its first multimodal model that can process a wide variety of visual information, including documents, diagrams, charts, screenshots, and photographs. Grok-1.5V will be available soon to early testers and existing Grok users [Details]. Alibaba Cloud released CodeQwen1.5-7B, a specialized codeLLM built upon the Qwen1.5 language model. CodeQwen1.5-7B has been pretrained with around 3 trillion tokens of code-related data and supports long context understanding and generation with the context length of 64K tokens [Details]. Adobe to add AI video generators Sora, Runway, Pika to Premiere Pro [Details]. AI Inference now available in Supabase Edge Functions [Details]. Amazon Music follows Spotify with an AI playlist generator of its own, Maestro [Details] Allen Institute for AI released an updated version of their 7 billion parameter Open Language Model, OLMo 1.7–7B and an updated version of the dataset, Dolma 1.7 [Details]. Nothing plans to bring ChatGPT to its earbuds and phones [Details]. Google launched Code Assist, its latest challenger to GitHub’s Copilot [Details]. Source: AI Brews - Links removed from this post due to auto-delete, but they are present in the newsletter. it's free to join, sent only once a week with bite-sized news, learning resources and selected tools. Thanks! ​ submitted by /u/wyem [link] [comments]

  • Health of humanity in danger because of ChatGPT?
    by /u/codewithbernard (Artificial Intelligence) on April 19, 2024 at 1:40 pm

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

  • I want to see a robot build a house in my lifetime (i'm 28)
    by /u/EpicHamMan (Artificial Intelligence) on April 19, 2024 at 8:05 am

    do you think it'll happen? submitted by /u/EpicHamMan [link] [comments]

  • Near-term advances in quantum natural language processing
    by /u/donutloop (Artificial Intelligence) on April 19, 2024 at 4:59 am

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

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