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:


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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.

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

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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:

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.

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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

  • Two-minute Daily AI Update (Date: 2/29/2024): News from Alibaba, Microsoft, Ideogram, Adobe, Meta, Apple, and more
    by /u/RohitAkki (Artificial Intelligence Gateway) on February 29, 2024 at 1:14 pm

    Continuing with the exercise of sharing an easily digestible and smaller version of the main updates of the day in the world of AI. Alibaba's EMO generates lifelike videos from photos - Alibaba recently introduced EMO, an AI system that can generate realistic talking and singing videos from a single photo. As per studies, it surpasses existing methods in video quality, realism, and expressiveness. Microsoft introduces 1-bit LLM - Microsoft reveals 1-bit LLM, a radically data-efficient language model understanding and generating text accurately while using only 1.58 bits per piece of information. With lower costs and resource needs, it enables cheaper, greener language AI. Ideogram debuts new text-to-image AI - Ideogram launches Ideogram 1.0, with superior text rendering, photorealism, and prompt adherence for high-quality, creative visuals. The "Magic Prompt" feature assists users in crafting effective descriptions for desired images. Adobe launches new GenAI music tool -Adobe introduces Project Music GenAI Control, enabling easy music creation from text or reference melodies with customizable tempo, intensity, and structure. This tool has potential to democratize music creation. Morph makes filmmaking easier with Stability AI - Morph Studio's new AI platform lets users create films by describing desired scenes in prompts for each shot. It also enables editing and combining clips into complete movies. Powered by Stability AI, it allows anyone to become a filmmaker. Hugging Face, Nvidia, and ServiceNow releases StarCode 2 for code generation - Hugging Face, Nvidia and ServiceNow release StarCoder 2, an open-source, GPU-optimized code generator with improved performance and licensing. It promises efficient code completion and summarization. Meta announces Llama 3’s release month - Meta plans to release Llama 3 in July to rival OpenAI's GPT-4, with improved responsiveness, better context handling for sensitive topics, and a potential doubling in size over its predecessor. With a focus on tonality and security training, Llama 3 seeks to provide more nuanced responses. Apple subtly reveals its AI plans - CEO Tim Cook announces Apple's upcoming disclosure of generative AI plans, emphasizing opportunities for users in productivity and problem-solving. This could possibly mean exciting new features for iPhones and other Apple devices. More detailed breakdown of these news and innovations in the daily newsletter. submitted by /u/RohitAkki [link] [comments]

  • Looking to get started with AI projects
    by /u/RequirementFuzzy4244 (Artificial Intelligence Gateway) on February 29, 2024 at 1:04 pm

    Are there any good fully offline (as in doesn't require internet access) generative AI freeware or open source projects? I am looking to start learning to use AI overall and looking for a system I can use without needing to use things like chatgpt, etc. I am also looking to build my own AI Datasets instead of downloading any premade ones. The reason I am looking for offline only is that all too often security flaws happen which can allow hackers etc access. So by learning offline it limits that issue. Think similar to just getting started with PHP programming and having your first attempts at coding giving access to your web server etc to others online.Any advice on any projects I should be using for this? submitted by /u/RequirementFuzzy4244 [link] [comments]

  • What is the future of traditional AI?
    by /u/thesti2 (Artificial Intelligence Gateway) on February 29, 2024 at 12:50 pm

    Hi, I want to ask the practitioner of AI here about the future of traditional AI. So I am a newbie in AI, and I am learning machine learning such as linear regression, neural network, decision trees, pandas, sklearn, etc. Then comes generative AI. As practitioners in AI industry, do you feel that traditional AI is getting less and less used compared to generative AI? Or traditional AI will always have its place in this industry? Should I just jump and learn generative AI? Thanks submitted by /u/thesti2 [link] [comments]

  • How long until someone builds an AI powered CEO? (that actually works)
    by /u/thesunswarmth (Artificial Intelligence Gateway) on February 29, 2024 at 12:01 pm

    I'm on a mission to find out exactly what processes are and aren't possible to automate with a combination RPA + (LAM/VLM) + AI agents + LLMs Has anyone successfully been able to build an "AI CEO" with this tech? It seems to me that with the above combination you should be able to automate a large portion of business processes, and with GPT5/Gemini 1.5, perhaps a majority of them. Essentially we should be able to build an AI 'CEO/COO' that can operate software and execute processes, and improve itself. But I haven't seen anyone deploy this successfully just yet. I know of a few AI tools/startups that are trying to capture this opportunity, but i've not found someone yet who's pieced together all the3se tools themselves and managed to build an automated CEO co-pilot system. To AGI and beyond! <3 submitted by /u/thesunswarmth [link] [comments]

  • Hollowness associated with AI art
    by /u/vishvad (Artificial Intelligence Gateway) on February 29, 2024 at 11:30 am

    I am curious how AI art (films, music, paintings, essays, books) makes people feel. Personally, when I consume something artistic produced I immediately associate it with the artist. I think the artists' personality naturally infuses a little bit into their work. That's why I feel like after reading a book that spoke to us, we pick up another book by the same author. Or the same reason we listen to a song we like and then go on to explore the musician and their other songs. Even movies. I also think we feel something when we see something beautifully created because we can understand the effort, the work, the sacrifices the artist put into it, and the relatability of it all. Which is hard to feel with something created in seconds by an AI. I am personally fascinated especially by DALL-E and how beautiful some of the paintings and images it makes are, but I can't help but feel like they are hollow and feel even more disconnected from it. Same with music. I am curious how AI art (films, music, paintings, essays, books) makes people feel? Do you think this would not apply to the masses in the future when lots is created by AI? Just like how people mindlessly consume now, they'd mindlessly consume then. submitted by /u/vishvad [link] [comments]

  • Daily AI News Summary (02/29/2024)
    by /u/Used-Bat3441 (Artificial Intelligence Gateway) on February 29, 2024 at 10:54 am

    Glean lures Citigroup as investor at $2.2 billion valuation after revenue quadruples - The company is taking on the Copilot chat tool for Microsoft 365 Samsung's Galaxy AI Ring, its latest wearable, is launching with tracking features including heart rate and sleep monitoring. Tumblr's parent company is making a deal with OpenAI and Midjourney to train AI on Tumblr posts Intel aims to deliver chips for 100 million AI PCsby 2025 Google CEO tells employees Gemini AI blunder 'unacceptable' StarCoder 2 is a code-generating AI that runs on most GPUs Apple cancels work on electric car project (codenamed titan), reports say A new paper from Microsoft optimizes LLMs in 1.58 bits. Alibaba unveils big cloud price cuts as AI rivalry deepens submitted by /u/Used-Bat3441 [link] [comments]

  • Integrating ChatGPT to Automate WhatsApp Responses
    by /u/krunal_bhimani_ (Artificial Intelligence Gateway) on February 29, 2024 at 10:26 am

    In today's world, messaging apps are becoming increasingly popular, with WhatsApp being one of the most widely used. With the help of artificial intelligence, chatbots have become an essential tool for businesses to improve their customer service experience. Chatbot integration with WhatsApp has become a necessity for businesses that want to provide a seamless and efficient customer experience. ChatGPT is one of the popular chatbots that can be integrated with WhatsApp for this purpose. In this blog post, we will discuss how to integrate ChatGPT with WhatsApp and how this chatbot integration with WhatsApp can benefit your business. Read: https://www.seaflux.tech/blogs/integrate-chatgpt-with-whatsapp submitted by /u/krunal_bhimani_ [link] [comments]

  • AI in Business vs Data Science, what do you guys think?
    by /u/redturtle1997 (Artificial Intelligence Gateway) on February 29, 2024 at 9:56 am

    Hi, I'm in the point of my master's degree where I have to decide which specialization I should choose. Among all of them, I have limited my choices to: ​ AI in Business (AI Fundamentals, Machine Learning, Computer Vision, Natural Language Processing): https://handbook.latrobe.edu.au/aos/2024/SPE-AIB01 ​ Data Science (4 subjects of: Spatial Analysis, Machine Learning, Data Exploration and Analysis, Data Mining, Analysis of Repeated Measures, Probability and Stastitics for Data Science) ​ https://handbook.latrobe.edu.au/aos/2024/SPE-AIB01 ​ I like the AI thing but I want to have the choice to work in different fields like media and music, which I think data science is closer to as it can make me able to specialize in various fields (more than AI), am I right in this? Apart from that, what is expected to have more opprtunties and pay more in the near future? I did some research in Google but still would love to hear your opinion to differenciate between the two specializations submitted by /u/redturtle1997 [link] [comments]

  • Is it OK to let my 11 yo son to get access to Chatgpt or chatbots?
    by /u/thony777 (Artificial Intelligence Gateway) on February 29, 2024 at 9:42 am

    He asks me every time, but I'm unsure about safety for him. I'm afraid that he will have access to too much fake content, that I cannot even imagine. Is it possible to improve safety somehow? Thanks submitted by /u/thony777 [link] [comments]

  • YOLOv9 architectural details, new SOTA Object Detector
    by /u/Difficult-Race-1188 (Artificial Intelligence Gateway) on February 29, 2024 at 8:58 am

    YOLOv9 introduces two new things: Full article: https://medium.com/aiguys/yolov9-new-object-detection-king-6fc97b93dc9a GELAN and PGI - GELAN Combines the strengths of CSPNet (known for its lightweight design and efficiency) and ELAN (focuses on gradient path management for effective learning). - Generalizes the concept of ELAN by allowing the use of any type of computational block within the network, not just convolutional layers. This provides more flexibility in designing efficient network architectures. PGI basically addresses two main problems: - Information bottleneck - Deep supervision limitations: Deep supervision adds additional prediction layers to the network to help with training. However, it can sometimes lead to the network focusing too much on specific features or objects and ignoring others. To tackle the deep supervision problem YOLOv9 offers Auxiliary Reversible Branch: This component provides an alternative path to ensure that the gradients propagated back during training are reliable and complete. submitted by /u/Difficult-Race-1188 [link] [comments]

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