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American Focus > Blog > Tech and Science > This Common Blood Pressure Drug Boosts Lifespan And Slows Aging in Animals : ScienceAlert
Tech and Science

This Common Blood Pressure Drug Boosts Lifespan And Slows Aging in Animals : ScienceAlert

Last updated: December 27, 2025 3:00 am
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This Common Blood Pressure Drug Boosts Lifespan And Slows Aging in Animals : ScienceAlert
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The Hypertension Drug Rilmenidine Shows Promise in Slowing Aging

Recent studies have revealed that the hypertension drug rilmenidine may have the potential to slow down the aging process in organisms like worms. This groundbreaking discovery could have significant implications for human health and longevity in the future.

Rilmenidine seems to mimic the effects of caloric restriction at a cellular level, a well-known method that has been shown to extend lifespans in various animal models. While the debate on whether these findings can be translated to human biology continues, the possibility of using rilmenidine to achieve similar benefits without the challenges of extreme calorie cutting is an exciting prospect.

In a study conducted in 2023, both young and old Caenorhabditis elegans worms treated with rilmenidine, a drug typically used to treat high blood pressure, exhibited longer lifespans and improved health markers, similar to the effects of calorie restriction. This research opens up new possibilities for exploring the clinical applications of rilmenidine beyond its current use.

One of the key discoveries from the study was the role of a biological signaling receptor called nish-1 in mediating the effects of rilmenidine on lifespan. Targeting this receptor in future research could offer new insights into enhancing longevity and slowing down the aging process.

Unlike low-calorie diets, which can be challenging to maintain and come with various side effects, rilmenidine presents a more accessible option for achieving similar benefits. With its oral administration, widespread prescription, and mild side effect profile, rilmenidine emerges as a promising candidate for anti-aging interventions.

Another drug, metformin, commonly used to manage type 2 diabetes, has also shown potential in promoting longevity. Observational studies have indicated that older women taking metformin had a lower risk of mortality compared to those using a different diabetes medication. While further research is needed to establish causation, these findings provide additional support for exploring the anti-aging properties of existing drugs.

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As researchers delve deeper into the mechanisms underlying rilmenidine’s effects on aging, the prospect of leveraging this drug to enhance human health and lifespan becomes increasingly compelling. With the global population aging rapidly, the implications of delaying aging, even marginally, are substantial.

Ultimately, the study’s findings underscore the untapped potential of repurposing drugs like rilmenidine to address age-related health challenges and improve overall well-being. The road ahead may involve more extensive research and clinical trials to validate these initial findings and pave the way for novel anti-aging interventions.

This article is based on research published in Aging Cell and highlights the transformative possibilities of leveraging existing medications to combat aging and enhance longevity.

The world of technology is constantly evolving, with new advancements and innovations being made every day. One of the most exciting developments in recent years is the rise of artificial intelligence (AI) and machine learning. These technologies have the potential to revolutionize industries across the board, from healthcare to finance to transportation.

AI is a branch of computer science that focuses on creating intelligent machines that can perform tasks that typically require human intelligence. Machine learning is a subset of AI that involves developing algorithms that can learn from and make predictions or decisions based on data. Together, these technologies have the power to automate repetitive tasks, improve decision-making processes, and even create new products and services.

One of the most notable applications of AI and machine learning is in the field of healthcare. These technologies are being used to analyze medical imaging data, predict patient outcomes, and even assist in drug discovery. In fact, AI-powered diagnostic tools have been shown to be as accurate as human doctors in some cases, leading to faster and more accurate diagnoses.

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In the finance industry, AI and machine learning are being used to detect fraud, make investment decisions, and even personalize customer experiences. These technologies can analyze vast amounts of data in real-time, allowing financial institutions to make more informed decisions and provide better services to their customers.

In the transportation sector, AI and machine learning are being used to optimize traffic flow, improve safety, and even develop autonomous vehicles. These technologies can analyze traffic patterns, weather conditions, and other factors to make real-time decisions that can improve the efficiency and safety of transportation systems.

Overall, the potential applications of AI and machine learning are vast and exciting. As these technologies continue to evolve and improve, we can expect to see even more innovative solutions to complex problems across a wide range of industries. It’s clear that AI and machine learning are here to stay, and their impact on the world will only continue to grow in the years to come.

TAGGED:aginganimalsbloodBoostsCommonDruglifespanpressureScienceAlertslows
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