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Aging as a glass

The body does not wear out so much as seize up. One idea, four places it shows up, and the measurement that would prove it wrong.

Take honey out of the fridge and it barely moves. Warm it and it pours. Nothing about the honey has changed except how fast its molecules can rearrange, and that one number decides whether it behaves like a solid or a liquid. Most of what we call ageing, we think, is that number going the wrong way inside living tissue.

This is a piece about a single idea: that the body does not so much wear out as seize up. It is the idea underneath everything Dark Matter reads and writes about longevity, so it deserves to be set out plainly, with the parts that are textbook physics separated from the parts that are our own conjecture. There are three kinds of claim below, and I will say which is which.

What a glass is

A glass is a liquid that has stopped being able to flow. Window glass is the familiar case, but the definition is about behaviour, not material: any dense collection of molecules whose rearrangements have become slower than the time you are willing to wait is, for your purposes, a solid. Physicists measure this with the relaxation time, the interval a material needs to forget its current arrangement and find a new one. In a liquid it is short. Near the glass transition it climbs by many orders of magnitude over a narrow window, a behaviour described by the Vogel-Fulcher-Tammann equation and studied for decades[1]. Past that point the material is trapped in one configuration, surrounded by barriers it has no energy to cross.

Fibre networks have a version of the same transition, and it is even simpler to picture. Take a mesh of flexible rods joined at nodes. With few connections per node, the mesh flops and bends freely. Add connections, and at a specific threshold, roughly six per node in three dimensions, every free motion disappears at once and the mesh turns rigid. This is called rigidity percolation, and the threshold was worked out by James Clerk Maxwell in 1864[2]. Granular materials jam the same way: add enough contacts and a pile of sand stops behaving like a fluid[3]. In each case the transition is sharp, and in each case nothing was destroyed. The same parts are present. They can no longer move past one another.

All of that is settled physics. What follows is the application.

Four places it happens in a body

Chromatin first. The DNA in a cell nucleus is packed at a density comparable to a very concentrated protein solution, and in a young cell it behaves like a viscous liquid: loops slide, regulatory proteins search along it, condensed regions form and dissolve. The condensed regions are made partly by liquid-liquid phase separation, droplets of heterochromatin protein that form and disperse[4]. With age those droplets are thought to harden, and histone loss lets nucleosomes pack tighter. The enzymes that would loosen the packing again, the TET and Jumonji families, depend on a metabolite called alpha-ketoglutarate and are stalled when it runs short[5]. Standard epigenetic clocks read where the marks sit. They do not read whether the marks can still move. That distinction, between a static configuration and a relaxation time, is the one this whole framework turns on, and the claim that chromatin relaxation time is the better measure of age is ours, not yet the field's.

The extracellular matrix second, and here the physics is most literal. Collagen is a fibre network in exactly Maxwell's sense. Young connective tissue sits below the rigidity threshold: it deforms by bending and sliding, and it is soft. Over decades, enzymes add crosslinks on purpose and blood sugar adds them by accident, through the slow Maillard chemistry that also browns toast. The best-characterised of the accidental crosslinks is glucosepane, the most abundant covalent crosslink in ageing human tissue and one no human enzyme is known to break[6]. As crosslinks accumulate the network crosses the threshold and stiffens abruptly. The ovary is the clearest documented case: cortical tissue that measures a few kilopascals in young adulthood is many times stiffer by the forties, and the stiffening tracks collagen and hyaluronan changes directly[7]. The follicles inside are not gone. They are held.

Nothing was destroyed. The same parts are present. They can no longer move past one another.

The proteome third. Protein folding is often drawn as a funnel toward the correct shape, and in a young cell it mostly is. In a crowded, oxidised, old cell the funnel grows side pockets, and misfolded proteins that fall in cannot climb out. They aggregate, and the aggregates are solids. Yeast has an enzyme for this, Hsp104, which grips a strand of an aggregated protein and pulls it back out through a central channel[8]. Animals do not. The gene was lost near the origin of the animal lineage[9], and what we kept, the Hsp70 system, can prevent aggregation but cannot reverse it. Once the proteome sets, the only remaining option is to digest the whole compartment. This is one of the two places where I think the word gap is exactly right: a piece of machinery other organisms have and we simply lack.

Deep chemical crosslinks fourth, which brings in the fungi. Glucosepane and its relatives are not just crosslinks that our enzymes happen to miss. They are ring structures with no hydrolysable bond in them, the kind of chemistry that ordinary biology cannot approach. There is one lineage on Earth that learned to break bonds of this class. When plants evolved lignin around 300 million years ago, a dense aromatic polymer with the same recalcitrant carbon bonds, nothing could degrade it for tens of millions of years, and the undecomposed wood became coal. White-rot fungi then evolved peroxidase enzymes that generate small radical mediators, diffusible enough to enter the polymer and cut it from inside[10]. The end of the Carboniferous coal beds coincides with that innovation. This is the honest reason mycology sits beside genetics on this site. Fungi are the only organisms with a working answer to the fourth substrate.

Why a cell doesn't just fix it

A fair objection: cells already have some of these loosening enzymes. Why do they stop working? Part of the answer appears to be a brake. As nuclei age and their membranes weaken, fragments of chromatin leak into the cytoplasm, where a sensor called cGAS reads them as a sign of infection and switches on a chronic inflammatory programme through STING[11]. One consequence of that programme is a surge in CD38, an enzyme that destroys NAD+, and NAD+ decline with age has been traced directly to it[12]. NAD+ is the fuel the loosening enzymes run on. So the cell's own repair machinery is starved by an alarm that never switches off. This part is well supported piece by piece. The claim that it is the principal reason tissue stays glassy is a working hypothesis.

Restore the operator, not the state

If ageing is arrest, the temptation is to go in and reposition everything by hand: rewrite the marks, replace the matrix, dissolve the aggregates. The physics argues for something narrower. A glass does not need every molecule moved. It needs the barrier lowered so that molecules can move themselves. In each of the four substrates there is a specific operator that does this: dioxygenases for chromatin, a matrix protease for collagen, a disaggregase for protein, radical peroxidases for the deep crosslinks. Supply the operator, and thermal motion does the rest.

There is a mathematical analogy here that I find useful, and I will label it clearly as an analogy. The equations that govern fluid flow can, under some conditions, concentrate motion into a point and break down; whether they always do is an open problem. In 1969 Jacques-Louis Lions proved that adding a slightly stronger dissipation term guarantees they never do[13]. You do not steer the fluid. You add the operator that drains energy from the cascade before it can lock. Whether biological arrest maps onto this in any rigorous sense is our conjecture, and I would not bet the site on it. But as a picture of what an intervention should look like, it has organised our thinking more than any list of hallmarks has.

How this could be wrong

A framework that cannot fail is not worth much, so here is the prediction that would sink this one. An ordinary drug, one that binds a target and modulates it, produces a smooth dose-response curve: a little dose, a little effect, more dose, more effect, then a plateau. A network transition does not behave that way. Below the threshold at which connectivity drops past the critical point, nothing should happen at all. Above it, motion should return abruptly. If the operators described above turn out to produce smooth, gradual recovery curves in tissue, then tissue was never a glass in the sense meant here, and the framework is wrong. That is a measurement, and we intend to make it.

What this is not

It is not a product, and nothing here is for sale. It is not a claim that ageing can be reversed, a phrase I have avoided on purpose because it has no measurable content. It is a way of reading the biology that makes different predictions from the standard one, and the predictions can be checked. The letters of your DNA do not change as you get older. What changes, we think, is whether the cell can still move to read them. Everything we publish on longevity starts from that.

Sources
[1]

Angell, C.A. Formation of glasses from liquids and biopolymers. Science 267, 1924–1935 (1995). The Vogel-Fulcher-Tammann relation, fragility, and the divergence of relaxation time near the glass transition.

https://doi.org/10.1126/science.267.5206.1924
[2]

Maxwell, J.C. On the calculation of the equilibrium and stiffness of frames. Philosophical Magazine 27, 294–299 (1864). The isostatic counting argument behind rigidity percolation. Modern treatment: Broedersz & MacKintosh, Reviews of Modern Physics 86, 995 (2014).

https://doi.org/10.1103/RevModPhys.86.995
[3]

Liu, A.J. & Nagel, S.R. Jamming is not just cool any more. Nature 396, 21–22 (1998). The jamming phase diagram for granular and soft matter.

https://doi.org/10.1038/23819
[4]

Strom, A.R. et al. Phase separation drives heterochromatin domain formation. Nature 547, 241–245 (2017). Liquid-liquid phase separation of HP1α heterochromatin.

https://doi.org/10.1038/nature22989
[5]

Tahiliani, M. et al. Conversion of 5-methylcytosine to 5-hydroxymethylcytosine in mammalian DNA by MLL partner TET1. Science 324, 930–935 (2009). TET enzymes as Fe(II)/α-ketoglutarate-dependent dioxygenases.

https://doi.org/10.1126/science.1170116
[6]

Sell, D.R. et al. Glucosepane is a major protein cross-link of the senescent human extracellular matrix. Journal of Biological Chemistry 280, 12310–12315 (2005).

https://doi.org/10.1074/jbc.M500733200
[7]

Amargant, F. et al. Ovarian stiffness increases with age in the mammalian ovary and depends on collagen and hyaluronan matrices. Aging Cell 19, e13259 (2020).

https://doi.org/10.1111/acel.13259
[8]

Glover, J.R. & Lindquist, S. Hsp104, Hsp70, and Hsp40: a novel chaperone system that rescues previously aggregated proteins. Cell 94, 73–82 (1998).

https://doi.org/10.1016/S0092-8674(00)81223-4
[9]

Erives, A.J. & Fassler, J.S. Metabolic and chaperone gene loss marks the origin of animals: evidence for Hsp104 and Hsp78 chaperones sharing mitochondrial enzymes as clients. PLoS ONE 10, e0117192 (2015).

https://doi.org/10.1371/journal.pone.0117192
[10]

Floudas, D. et al. The Paleozoic origin of enzymatic lignin decomposition reconstructed from 31 fungal genomes. Science 336, 1715–1719 (2012). Class II peroxidases in white-rot fungi and the end of the Carboniferous coal accumulation.

https://doi.org/10.1126/science.1221748
[11]

Glück, S. et al. Innate immune sensing of cytosolic chromatin fragments through cGAS promotes senescence. Nature Cell Biology 19, 1061–1070 (2017).

https://doi.org/10.1038/ncb3586
[12]

Camacho-Pereira, J. et al. CD38 dictates age-related NAD decline and mitochondrial dysfunction through an SIRT3-dependent mechanism. Cell Metabolism 23, 1127–1139 (2016).

https://doi.org/10.1016/j.cmet.2016.05.006
[13]

Lions, J.-L. Quelques méthodes de résolution des problèmes aux limites non linéaires. Dunod, Paris (1969). Global regularity for the hyperdissipative Navier-Stokes equations with fractional Laplacian exponent α ≥ 5/4.

https://www.worldcat.org/title/quelques-methodes-de-resolution-des-problemes-aux-limites-non-lineaires/oclc/1001913
Not medically reviewed — reviewer unassigned
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