What complexity tells us about aging.

Humans are complex. We have memory, we can think and we age. But why do any of these things happen and do we become more or less complex with age? And can understanding complexity and modelling it with approaches from systems biology finally help us understand why we age and how we can stay healthy for longer? Well, let’s discuss. What does complexity tell us about aging?

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Other references:
Lipsitz LA, Goldberger AL. Loss of 'Complexity' and Aging: Potential Applications of Fractals and Chaos Theory to Senescence. JAMA. 1992;267(13):1806–1809. doi:10.1001/jama.1992.03480130122036

Please note that The Sheekey Science Show is distinct from Eleanor Sheekey's teaching and research roles at the University of Cambridge. The information provided in this show is not medical advice, nor should it be taken or applied as a replacement for medical advice. The Sheekey Science Show and guests assume no liability for the application of the information discussed.

[TheSheekeyScienceShow]

This was a complex video for me to make. :D And lol, not sure what i was really trying to say in that last sentence, other than we evidently are not there yet…we don’t have a perfect model of aging, but i think it would be a goof framework to use. We just need to identify the parameters…no trivial task.

[susymay]

Our complexity is one of the anti-aging challenges.

Even I can make yeast cells live longer.

[raybod]

My 18 year old niece is currently going through complex chaos.

[christopherellis]

An enchanting hypothesis, thank you for presenting it.
In my eight years of personal application of the various suggestions from research, I have come to a state of keeping things as close to what would have been the natural order in times gone by. Eat sleep move generally in moderation yet without getting into a too predictable pattern. I am sure that we have more to know, and your research is part of bringing things to light. I have even drunk from obscure mountain springs in many places, just in case one of them makes a singular difference.

[IlmiMulhid]

Physicists simulate large scale galaxies, biological systems now can also be studied with help of organioids which are developed in invitro with help of iPSCs, , many covid effect were studied using lung organioid.

[marvinyan]

What I learned from this video:
- All models are wrong, some models are useful, and a more than a few models are disturbing...
- My high passage cells are less complex :D
- Math is hard but simplexes are useful and cool albeit difficult to make. But yes a simplex taking into account biological age would be very interesting!

[barrelroller]

Thanks for such elaborate video 👏
May I ask, which software/browser plugin you use to select text with different colors on webpages?

[robertmcpherson]

Looks like you have a lot of work to trying to figure that out. Good thing you are young.

[thecarpenter]

Lovely. From my observation nature is chaos were we are born into this world from and life is human order and with order comes entropy then death back to chaos. Just simplified a bit.

[harrywoods]

Just a thought, understanding Large data sets in my mind is the key to finding useful therapies. There is a reason we have not cured cancer, most humans are not very good at interpreting huge data sets.
A collaboration between human and AI may be the key that unlocks useful therapies🤔IMO

[harrybracey]

As a man, all women are complex. Am I in trouble now? Luv ur channel .

[darkhorseman]

I recently read a study showing young people had around unique proteins and peptides in their blood, while in old people the levels decreased to around 2000.

[bobshakor]

Genome simulation could be implemented to represent gene interactions and development of genetic states by predictive analytics (Ai), enabling to conduct preventive measures.

[JZGreengo]

More health problems as I got older, I want to be a kid again

[grinmanpotato]

would it be strange if I, someone without a biology background beyond GCSE would read the book you suggested in 4:11?
i would love to read it to get a more nuanced view of biology

[robin-jewsbury]

I agree with health being very complex and multi-dimensional. I am not convinced, though, that you can reduce the dimensions in the models because all the diseases of ageing are related to each other through the immune system - you need to model all the different metabolisms (pathways) together to work out what the symptoms will be. Doctors have been successful in looking individually at infectious diseases, but unfortunately we use the same word ("disease") for individual metabolic diseases. I think this leads to mistakes because more often then not one metabolic disease leads to another due to the immune system being thrown out of kilter - that's what we call ageing. I think it can be modelled if you have large amounts of data from large number of individuals, but it does not have to be a simulation - just an AI fitting to the multi-dimensions.

[KenOtwell]

"quantitate?" Is that British for "quantify"?

[ChessMasterNate]

Seems to me that outside the health simplex is death. Everything else is a degree and parameter to which you are unhealthy.
Perfect health probably does not exist, and never has.

Also, for various ages, different ranges are appropriate. A fetus can have a healthy heart rate of 205. That for hours in an adult would lead to death. A 5-year-old has what would be considered low blood pressure in an adult. Certainly, a newborn, where 65/35 is considered excellent.

I don't think this "simplex" model is sufficient for human health depiction/quantification.

If you limit it to "adult", maybe it could work, hard to say. I kinda wonder if some parameter values are fine in the presence of some, but in the presence of others, not. I don't think this simplex model can easily accommodate these interdependencies, if such interdependencies exist. Of course, I am speculating.

What might be interesting and likely could accommodate all these complexities is a neural net. You still need to tell it what health is. Objectively, a data set over many years with some fraction probably more than 25% of the subjects ultimately dying over that time.

I suppose this has been done to varying degrees. Machine learning for methylation, for example. Could be interesting to do for a few hundred variables. Or if that is too time-consuming, just pictures of cells, perhaps 5 or 6 kinds that are not too uncomfortable to get at, but have different disease susceptibility. Add in retinal images, DNA, a picture of their skin using an instrument that provides its own light and seals other light out, so the lighting is not inconsistent, the usual vitals, kidney function, liver function, heart calcium level, reaction time, hand strength, and balance. Maybe I am back to, too many variables, to be a viable study.
I wonder what it could do with just: age, full body MRI and DNA...and, of course, the outcomes.

[IlmiMulhid]

Please can you collaborate with Megan Amber? She did Bioengineering from UC Berkeley and currently is in Illinois...she also have youtube channel.

[danceprometheus]

Sheekey what initially called you to focus on reversing aging?