Back

Adaptive receptor expression and the emergence of disease as loss of signaling homeostasis

Kareva, I.

2026-03-22 evolutionary biology
10.64898/2026.03.21.713376 bioRxiv
Show abstract

Our bodies have evolved to maintain homeostasis through regulatory systems that continuously adapt to keep physiological processes within a normal range. From this perspective, complex chronic disease can be understood as a breakdown of compensatory mechanisms, resulting in loss of homeostasis. Here we propose that adaptive receptor expression dynamics may serve as one such compensatory mechanism, increasing receptor surface expression when external ligand is insufficient, and clearing it when signaling is excessive. To explore this, we adapt a previously published agent-based model and simulate it under a range of scenarios. We find that the system of adaptive receptor expression is robust to oscillatory perturbations but not to chronic stress. We propose that receptor turnover dynamics may be better understood as an adaptive, environmentally responsive process rather than a fixed biological property, and that in some cases, disease manifests only after compensatory mechanisms have been pushed past their limits. We conclude with a discussion of implications for understanding complex chronic diseases, for thinking about epigenetic and mutational change as escalating layers of adaptation, and for how we model receptor dynamics in the context of receptor-mediated drug activity.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 3%
14.7%
2
PLOS ONE
4510 papers in training set
Top 23%
8.2%
3
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 0.7%
8.2%
4
Evolution
199 papers in training set
Top 0.5%
7.2%
5
PLOS Computational Biology
1633 papers in training set
Top 5%
6.8%
6
eLife
5422 papers in training set
Top 14%
6.3%
50% of probability mass above
7
Molecular Systems Biology
142 papers in training set
Top 0.2%
3.2%
8
PLOS Genetics
756 papers in training set
Top 6%
2.7%
9
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 2%
2.6%
10
Genetics
225 papers in training set
Top 2%
2.4%
11
iScience
1063 papers in training set
Top 9%
2.4%
12
PLOS Biology
408 papers in training set
Top 7%
2.1%
13
Scientific Reports
3102 papers in training set
Top 54%
1.9%
14
Philosophical Transactions of the Royal Society B: Biological Sciences
53 papers in training set
Top 0.3%
1.8%
15
Journal of Theoretical Biology
144 papers in training set
Top 0.9%
1.7%
16
Nature Communications
4913 papers in training set
Top 52%
1.7%
17
npj Systems Biology and Applications
99 papers in training set
Top 1%
1.3%
18
BMC Biology
248 papers in training set
Top 2%
1.3%
19
Nature Ecology & Evolution
113 papers in training set
Top 3%
1.2%
20
Evolution Letters
71 papers in training set
Top 1%
1.2%
21
Mathematical Biosciences
42 papers in training set
Top 0.9%
0.9%
22
Evolution, Medicine, and Public Health
14 papers in training set
Top 0.3%
0.9%
23
Evolutionary Applications
91 papers in training set
Top 1%
0.7%
24
Frontiers in Ecology and Evolution
60 papers in training set
Top 4%
0.7%
25
Journal of Experimental Zoology Part B: Molecular and Developmental Evolution
22 papers in training set
Top 0.6%
0.7%
26
Molecular Biology and Evolution
488 papers in training set
Top 4%
0.7%
27
Genes
126 papers in training set
Top 3%
0.7%
28
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
15 papers in training set
Top 0.9%
0.7%