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Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_2796_Библиотеки_им_академика_М_И_Перельмана

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prevention of fibrosis
6 days
enlarged basin
of attraction
for OFF state
FIGURE 5.19 Strategy to resolve brosis by inhibiting the autocrine loop of broblasts. is
enlarges the basin of attraction to the healing state.
model when the ON/OFF xed point vanishes, because this greatly expands the basin of attraction of the OFF state. In other words, one must eliminate the xed point in which F cells support themselves. To do so, as we saw in Figure 5.11, requires a combination of parameters to go below a threshold, the ratio of pro-F to anti-F parameters:
p
aK/γd < 4
11
is parameter group oers several targets against brosis. e equation gives hope that one does not need to push a parameter all the way down to zero, which is dicult. Instead, one must merely nudge the system below a threshold in order to collapse brosis.
You can see what happens in Figure 5.19 when you reduce this parameter group – the unstable xed point (white circle on the x axis) moves to higher and higher values, enlarg­ing the basin of attraction to the OFF state. At a certain value, the unstable xed point collides with the ON/OFF xed point, and both xed points annihilate! e basin of attraction is now very large.
e dynamics when this anti-brosis condition is met is exemplied in Figure 5.19. A lengthy inammation pulse of 6 days which would normally lead to brosis now ows to the OFF state with no brosis. Longer pulses of 8 days can still result in ON-state brosis.
One target suggested by the circuit equation is to inhibit the growth factor for F cells which the F cells themselves secrete – the autocrine growth factor for myobroblasts. is
γ
can be achieved by increasing its removal rate
or reducing its production rate a; both
changes push the parameter group down, as required.
Shoval Miyara and Eldad Tzahor took on this challenge, using a well-established model for brosis, namely heart attacks. Shoval identied a major autocrine factor of mouse heart myo­broblasts, a growth factor called TIMP1. is growth factor is not expressed in the normal uninjured heart. He injected antibodies against this autocrine factor, thereby inactivating it. Mice showed much less scarring in experimentally induced heart attacks (Miyara 2023).
Similarly, this theory inspired Shuang Wang in Scott Friedman’s lab to inhibit the liver myobroblast autocrine loop. She achieved a reduction of advanced liver brosis in mice, by inhibiting an autocrine receptor for liver myobroblasts, NTRK3 (Wang, 2023).
Inammation and Fibrosis as a Bistable System127
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us, this circuit-to-target approach may help to address brosis in dierent organs ­heart attacks which are an acute injury, and NASH-induced liver brosis which is a chronic condition.
Here we see several benets of math modeling. It can give hope and guidance. We do not need to kill all the broblasts. We just need to push certain rates enough so that they go below a threshold. Another benet of a good theory is that it can inspire new experi­ments, as in the experiments on heart and liver. eory provides new concepts – in this case, the concepts of hot and cold brosis that provide new ways to analyze tissue samples. eir utility was recently demonstrated in the kidney in which hot and cold brosis regions can coexist depending on oxygen and inammation levels (Setten et al. 2022). is theory also helped to start experiments on the cancer micro-environment, the support system for cancer composed of F and M cells, aiming to collapse the support in order to ght cancer. Can’t wait to see the results.
EXERCISES
Solved Exercise 5.1: Find the condition for bistability in the model for broblasts, Eq. 5.4.
pa
dF
1
2
Solution: Our equation is =−
dt
1FF
γ
e xed points occur at F = 0 and at two, one, or zero other points determined by whether the removal line dF
intersects the proliferation “hill.” To solve for those non-zero
1
xed points, we can set dF/dt = 0 and divide by F (since we assume F is non-zero) to nd
/Kd
()
F
1
pa
1
d
=−F1
1
γ
To simplify things, let’s divide and multiply by K, and divide by
K
pa
We did that because the term
FK/1
1
1=
d
γ
1
FK/ is easy: it’s a symmetric parabola that is zero
()
F
 
F
K
.
K
d
so that
1
F
 
1
.
K
at F = 0 and FK= . Its maximum value occurs between the two roots at FK= /2, where its height is 1/4 (Figure 5.20). us, the condition for two non-zero xed points is
pa1K
4> .
γ
d
1
A single “half-stable” xed point occurs when this precisely equals 4 (try to analyze this case).
Solved Exercise 5.2: Find the xed points of the two-cell circuit composed of broblasts and macrophages.
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1
1
o
FIGURE 5.20 Rate plot for the growth and removal rates of broblasts shows how the number of
K
xed points depends on parameters.
Solution: Let’s write the equations for this circuit. e F-specic growth factor c1 is secreted by both M and F cells, and endocytosed by its receivers, F cells:
dc
1
=+aF bM
dt
−−eFcc
11
11γ1
where b1 is production rate per M cell. e M-specic growth factor, c2, is produced by F and endocytosed by M cells:
endocytosis rates like ee
, are about 1000/cell/min. erefore, endocytosis is the main
12
=−bF
dt
eMcc
22
22
γ
2
dc
2
removal mechanism of growth factors unless cell density is very low. Growth factors dynamics have timescales of minutes to hours, whereas cell growth is much slower with a timescale of days. We thus invoke separation of timescales and compute the quasi-steady­state of the two growth factor concentrations:
e M cells divide under control of c capacity. us, M cells follow the simple equation
e F-cell equation is as above, Eq. 5.4. Plugging in the quasi-steady-state values for c
, we arrive at the cell equations on the scale of cell turnover (days)
c
2
aF +bM
c
= , c
1
dM
dt
1
eF
+
γγ
11
. Unlike F cells, the M cells are far from their carrying
2
dM
=−pM
cd2M
dt
= Mp
22
2
eM
22
bF
=
2
eM
22
bF
2
−d
+
γ
2
+
2
and
1
Inammation and Fibrosis as a Bistable System129
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= Fp
dt
aF+bM
1
1
eF
+
γ
11
F
1
K
dF
d
1
Looks a bit complicated… but we can make progress. To understand these equations, we use the method of nullclines – the lovely graphical method we’ve seen in previous chapters. Nullclines are the extension of the rate plot approach. Whereas rate plots work well for a single variable, nullcline are helpful for systems of equations with two variables such as M(t) and F(t).
Nullclines are curves in which one of the two cell concentrations does not change. One nullcline is
dM/0dt = , and the other is dF/dt = 0. e xed points are where the two
nullclines intersect, because at xed points both cell populations don’t change. It’s there­fore useful to draw both nullclines on the phase plane, whose axes are F and M cell concen­trations, and study the intersection points.
dM/0dt = nullcline is composed of the x-axis, M = 0, and of the solution to
e
bF
2
p
2
eM
+
22
0. e latter is a straight line, MF=−
−=d
2
γ
αβ
, with an intercept β=2.
γ
e
2
e intercept is close to zero because endocytosis dominates degradation and thus β1. Plotting this line separates the phase plane into two regions, a top region in which M drops and a bottom region in which M rises (Figure 5.21).
dF/0dt = nullcline is the y-axis F = 0 and the solution to
e
aF +bM
p
1
1
()
+
γ
eF
11
1/−−FK d1= 0.
e F = 0 and M = 0 nullclines intersect at zero, which is the OFF state. Zero cells is a stable state since at very low cell numbers there is not enough c
and c2 to overcome cell removal,
1
and both cell populations crash.
e more complicated F-nullcline equation can be understood if we look at the
M = 0
line. ere, we have the three xed points we saw in exercise 1 when we discussed F alone. Plotting the nullcline, which looks like
MF~/
a U-shape which drops through the unstable xed point F
FIGURE 5.21 Each nullcline dX/dt = 0 divides the phase plane into regions where the relevant vari-
able X moves in one direction.
+−
γ
()
eF/1
11
//KabF1, we see that it has
()
, drops below zero and rises
u
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k
FIGURE 5.22 Nullclines and phase portrait for the broblast-macrophage circuit. Selected trajec-
tories are shown in orange.
through the high xed point F
, and then climbs up and diverge near the carrying capac-
high
ity FK= (blue curve in Figure 5.22). e orange curves on the phase portrait show three dierent trajectories.
e phase portrait indicates that the zero and high stable xed points are stable (arrows ow into them). An analytical method called linear stability analysis can be used to con­rm which points are stable (black dots) and which are unstable (white dots), and which are half stable (half-white half-black dots).
Exercise 5.1: Nullclines and directions of motion
e nullcline
dM/0dt = is the line where M does not change. On one side of the nullcline in
phase plane, dM/dt > 0 which means that M grows, and on the other side, dM/0dt < which means that M shrinks
a. Why is this statement true? b. Which side of the nullcline corresponds to /0>dM dt and which to /0<dM dt ? c. Repeat for the /0=dF dt nullcline. Explain why this U-shaped nullcline separates the
phase plane to a middle region where F ows to higher levels, and regions at low and high F where F ows to lower levels.
d. Use these results to sketch the arrows in the phase portrait and to explain the stability
of the xed points.
Inammation and Fibrosis as a Bistable System131
1
/,/
1112 22
()()
++
FFu<
FFu>
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Exercise 5.2: Saturating growth factors
Repeat the calculation when
and 2 act on F and M in a Michaelis–Menten way
. e same terms appear in the endocytosis term because binding of growth factor to its receptor both initiates the signaling that aects proliferation and leads to endocytosis.
Exercise 5.3: Paradoxical eects of macrophage depletion
Experiments that deplete macrophages show conflicting effects on fibrosis. In some contexts, fibrosis is prevented whereas in others it is enhanced (Duffield et al. 2013). Show, using the model of Solved Exercise 5.2, that the deciding factor is the timing of depletion.
a. What happens when M is set to zero with broblasts below their unstable xed point,
?
b. What happens when M is set to zero with broblasts below their unstable xed point,
?
Exercise 5.4: Extracellular matrix (ECM) accumulation in tissue repair and brosis
ECM is produced by myobroblasts. ECM degradation is controlled by proteins called MMPs and TIMPs, where MMPs enhance the degradation of ECM and TIMPs inhibit the degradation of ECM. MMPs are produced mainly by macrophages apart from a small baseline level that is produced by the tissue. TIMPs are produced by both macrophages and myobroblasts (Figure 5.23).
FIGURE 5.23 Circuit in which broblasts F produce extracellular matrix E, which is degraded by
MMP proteins secreted by macrophages M. ese proteins are inhibited by TIMP proteins secreted by broblasts.
132 Sy st em s Me dicin e
dMMP
dt
dTIMP
dt
dECM
dt
MMP
TIMP k
M
+
F
eFc
.L
eF
L
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a. Follow the interactions above to explain each term in the following set of dierential
equations for MMPs, TIMPs, and ECM.
aM MMP
=+
α
1


bM cF TIMP
=+−
dF
=−
α
3
α
2
EC
b. Assuming that the factors that control ECM degradation reach steady state faster
than ECM, rewrite the equation for ECM with the steady states of MMPs and TIMPs.
c. Solve the steady state of ECM and describe its dependence on the number of myo-
broblasts and macrophages.
d. What are ECM steady states in healing, hot brosis, and cold brosis (don’t solve the
cell steady states, just use steady-states notation such as F-hot for myobroblasts level in hot brosis)? What can you say about the dependence of the scar size on F in hot brosis versus cold brosis if you consider that myobroblasts numbers are approxi­mately the same in the two brotic states?
Exercise 5.5: Diusion range of growth factors due to endocytosis (Oyler-Yaniv et al.
2017)
A growth factor cells with density
diuses with a diusion coecient
at a rate
.
and is endocytosed (removed) by
a. How long can the molecule travel on average before being removed? Show that this is
approximately diusion constants and cell densities.
b. Suppose the density of target cells F is low. How does this aect the range? What are
the consequences for biological regulation of cell circuits?
c. Suppose that two micro-injuries of diameter 50 micron are made in a tissue at a dis-
tance of
from each other. Intuitively guess how the response would dier if
much larger than
D
= Show that this length scale is about 100 microns for typical
is
or similar to L?
Inammation and Fibrosis as a Bistable System133
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2
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Exercise 5.6: Stability of cold brosis
Analyze the brosis circuit of Solved Exercise 5.2, and weaken the secretion rate of secre­tion of the macrophage growth by myobroblasts, described by the parameter
.
a. At which value of
does the cold brosis xed point become stable?
b. What happens to the hot brosis xed point? Sketch the nullclines and the xed
points.
c. What happens if
= 0?
d. What are the implications for considering the macrophage growth factor, or macro-
phages themselves, as a target for an anti-brosis treatment?
NOTE
1 Endocytosis also provides a length scale of about 10–100 μm, or about one to ten cell diame-
ters, for the distance a secreted molecule diuses before it is eaten up by its target cells (Oyler­Yaniv et al. 2017). is provides a natural compartment size for cell-cell circuits. e lower the target cell density, the longer this range, because there is less endocytosis, ensuring that the secreted molecule reaches its target (see Exercise 5.5).
REFERENCES
Adler, Miri, Avi Mayo, Xu Zhou, Ruth A. Franklin, Jeremy B. Jacox, Ruslan Medzhitov, and
Uri Alon. 2018. “Endocytosis as a Stabilizing Mechanism for Tissue Homeostasis.” Proceedings of the National Academy of Sciences 115 (8): E1926–35. https://doi.org/10.1073/ pnas.1714377115.
Dueld, Jeremy S., Mark Lupher, Victor J. annickal, and omas A. Wynn. 2013. “Host Responses
in Tissue Repair and Fibrosis.” Annual Review of Pathology 8 (January): 241–76. https://doi. org/10.1146/annurev-pathol-020712-163930.
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Aging and Age-Related Diseases
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