The Top 11 clinical trials to watch in 2025 from Nature.
http://www.nature.com/articles/s41591-024-03383-y
4 Likes
AnUser
#2
Two chatbots, one dietary trial of 3 different diets, cool roof trials, etc.
These are among the top trials from humanity 2025.
Medicine is a joke.
2 Likes
ITP interventions that might come out next year
| Compound |
Cohort |
Concentration in Food |
Age at Treatment Initiation |
Increase in Median (Med) and Maximum (Max) Lifespan |
| 2BAct (2BA) |
2021 |
30 ppm |
7 mo |
In Progress |
| Dichloroacetate (DCA) |
2021 |
30 ppm |
7 mo |
In Progress |
| Epicatechin (Epi) |
2021 |
60 ppm |
7 mo |
In Progress |
| Forskolin (For) |
2021 |
5 ppm |
7 mo |
In Progress |
| Halofuginone (Hal) |
2021 |
0.6 ppm |
7 mo |
In Progress |
| MSDC-160 (M160) |
2021 |
300 ppm |
7 mo |
In Progress |
1 Like
amuser
#4
What ‘more relevant to healthspan/lifespan’ phase 3 trials report out in 2025?
New Amsterdam obicetrapib is obivously one. Any others? GLP-1’s? Anything involving sirolimus?
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cl-user
#5
And for two weeks only! That’s so incredibly ridiculous.
1 Like
AnUser
#6
Ok it seems more interesting than at first glance:
Precision nutrition in a diverse cohort
Leanne Redman: People experience a large variation in health benefits in response to foods and diets. Traditional approaches to dietary intervention studies (comparing diet A to diet B or C) inform US dietary guidelines, despite the fact that such trials typically study the effects of diet in narrow groups of the population (without the full range of adult age, gender groups and socioeconomic classes). Basing guidelines on the efficacy of a diet in an entire group ignores people who, for whatever reason, had a smaller or greater benefit of that diet on health outcomes. The US National Institutes of Health-funded Nutrition for Precision Health project (which is partnered with the All of Us research program) seeks to explore the factors that explain why people respond differently to the same foods.
The project will study more than 8,000 adults, with few exclusion criteria, in the context of their usual medications and health conditions, which is intended to expand the reach of current nutritional guidelines. After mapping how a person’s usual diet, genetics, microbiome, lifestyle habits and medical and health history influence their response to a meal test, scientists will use this information to predict how they will respond to three types of eating patterns after 2 weeks. As the three eating patterns differ in their amounts and types of carbohydrates, fats, proteins, fruits and vegetables, fiber, nuts, fish, dairy and processed and unprocessed foods, for example, the scientists will rely on advanced statistical models and machine learning to first identify the factors or individual-level features with the greatest relevance to a dietary response, and then to predict those foods and eating patterns likely to foster benefit for people. All data collection will be completed by the summer of 2026. We expect papers providing a first look at the data in early 2025.
Leanne Redman is a physiologist at the Pennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA, USA.
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