Back

Proton-gating of opioid receptors and isoform functionality

Lee, K. D.; Surana, G.; Taylor, S.; Isom, D. G.

2026-05-29 molecular biology
10.64898/2026.05.26.727816 bioRxiv
Show abstract

The three opioid receptors, mu (mu-OR), delta (delta-OR), and kappa (kappa-OR), are key G-protein-coupled receptors (GPCRs) involved in mediating pain relief. Yet, there has been a lack of understanding regarding how changes in the extracellular pH associated with inflammation affect their signal transduction pathways. This study demonstrates that all opioid receptors act as proton-gated coincidence detectors. A humanized yeast-based platform called DCyFIR, which isolates the pH environment outside the cell from potential confounding factors inside the cell, was employed to examine the activation of opioid receptors over a range of physiologically relevant to pathologically low pH environments. As such, the results show that agonist efficacy decreases with decreasing pH. This indicates that the receptor itself contains one or more protonatable sidechains that act as an intrinsic "pH sensor". To determine the structural basis of this pH-sensing mechanism, structure-based pHinder calculations were used to identify potential pH sensing residues. Subsequent variant profiling identified the protonation of one conserved aspartic acid residue, D149 (also known as D3.32), located in a region near the binding site of opioid ligands, which, when exposed to acidic pH conditions, resulted in the disruption of the salt bridge necessary for effective docking of opioid ligands with the receptor. Consequently, the receptor lost all ability to be activated by agonists. Further characterization using a variety of functional assays on more than twenty different mu-OR alternative splicing variants indicated that all isoforms that possessed a continuous 7-transmembrane domain retained this proton-sensing capability. These studies collectively provide insight into the structural mechanisms underlying pH-dependent opioid receptor activation and lay the foundation for the design of new generations of selective analgesics that activate opioid receptors only in acidic inflammatory tissue.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Nature Communications
5641 papers in training set
Top 11%
15.1%
2
Scientific Reports
3612 papers in training set
Top 11%
6.7%
3
Journal of Biological Chemistry
690 papers in training set
Top 1%
6.3%
4
eLife
5828 papers in training set
Top 21%
5.5%
5
Cell Reports
1498 papers in training set
Top 6%
5.5%
6
Communications Biology
993 papers in training set
Top 2%
4.8%
7
Advanced Science
286 papers in training set
Top 2%
4.0%
8
ACS Chemical Neuroscience
67 papers in training set
Top 0.2%
4.0%
50% of probability mass above
9
Journal of Chemical Information and Modeling
238 papers in training set
Top 1%
3.2%
10
PLOS ONE
5266 papers in training set
Top 38%
3.2%
11
Science Signaling
65 papers in training set
Top 0.4%
2.4%
12
ACS Chemical Biology
167 papers in training set
Top 1%
2.4%
13
Science Advances
1243 papers in training set
Top 15%
2.4%
14
International Journal of Molecular Sciences
494 papers in training set
Top 5%
2.4%
15
Biochemical Pharmacology
20 papers in training set
Top 0.2%
1.9%
16
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 26%
1.9%
17
The FEBS Journal
93 papers in training set
Top 0.7%
1.7%
18
ACS Omega
105 papers in training set
Top 2%
1.3%
19
Journal of Medicinal Chemistry
77 papers in training set
Top 0.6%
1.3%
20
Journal of Molecular Biology
232 papers in training set
Top 2%
1.3%
21
Acta Pharmaceutica Sinica B
11 papers in training set
Top 0.2%
1.0%
22
PLOS Biology
486 papers in training set
Top 10%
1.0%
23
Journal of General Physiology
60 papers in training set
Top 0.4%
0.8%
24
Cell Discovery
57 papers in training set
Top 1%
0.8%
25
Biochemistry
148 papers in training set
Top 2%
0.8%
26
iScience
1154 papers in training set
Top 34%
0.8%
27
The Journal of Physiology
150 papers in training set
Top 2%
0.8%
28
Protein Science
246 papers in training set
Top 4%
0.6%
29
International Journal of Biological Macromolecules
76 papers in training set
Top 2%
0.6%
30
Computational and Structural Biotechnology Journal
242 papers in training set
Top 8%
0.6%