Back

Immobilized neuroglobin scavenges carbon monoxide from circulating carboxyhemoglobin

Butler, M.; Huang, X. N.; Orizondo, R. A.; Rose, J. J.; Gladwin, M. T.; Kim-Campbell, N.; Federspiel, W. J.; Tejero, J.

2026-04-23 bioengineering
10.64898/2026.04.20.719754 bioRxiv
Show abstract

Carbon monoxide (CO) poisoning is responsible for around 50,000 emergency department visits per year in the U.S. alone. With the present standard of care, persistent neurological sequelae occur in [~]30-40% of severe CO poisoning cases. Currently, there is no available targeted molecular antidote for CO poisoning. In previous work, we have developed an antidotal therapy for CO poisoning based on an engineered hemeprotein, human neuroglobin (Ngb-H64Q-CCC). Intravenous infusion of Ngb-H64Q-CCC removes CO from the circulating red blood cells and improves survival in a lethal CO-poisoning mouse model. However, the infusion of heme-containing proteins has inherent heme toxicity risks that may limit the dose that can be used safely without liver or kidney toxicity. In order to overcome these problems, we have investigated the development of immobilized Ngb in a solid matrix. This approach allows for the development of a CO removal system using an extracorporeal blood circulating system coupled with a stationary matrix with immobilized Ngb-H64Q-CCC. Such system avoids drug infusion and possible organ injury, allows for antidote recycling, and provides advantages for storage and handling of the antidote. By assessing the efficacy of Ngb-H64Q-CCC immobilized through different linkage strategies, we have identified N-hydroxysuccinimide agarose resin as a viable stationary phase. The immobilized protein shows preserved heme redox activity, can be chemically reduced/oxidized for activation/CO release purposes, and retains its CO removal capacity after successive regeneration cycles. We expect that this novel approach will advance the development of new scavenger-based therapies for CO poisoning.

Matching journals

The top 15 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 8%
8.7%
2
PLOS ONE
4510 papers in training set
Top 20%
8.7%
3
ACS Biomaterials Science & Engineering
37 papers in training set
Top 0.1%
4.3%
4
RSC Advances
18 papers in training set
Top 0.1%
4.1%
5
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.2%
3.8%
6
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 0.6%
3.2%
7
Journal of the American Society for Mass Spectrometry
33 papers in training set
Top 0.1%
2.7%
8
Nanoscale Advances
13 papers in training set
Top 0.1%
2.7%
9
ACS Omega
90 papers in training set
Top 1.0%
2.1%
10
Analytical and Bioanalytical Chemistry
17 papers in training set
Top 0.1%
2.1%
11
Protein Science
221 papers in training set
Top 0.7%
2.0%
12
ChemBioChem
50 papers in training set
Top 0.5%
1.8%
13
Bioengineering & Translational Medicine
21 papers in training set
Top 0.3%
1.8%
14
Biosensors and Bioelectronics
52 papers in training set
Top 0.7%
1.8%
15
International Journal of Molecular Sciences
453 papers in training set
Top 7%
1.8%
50% of probability mass above
16
ACS Chemical Neuroscience
60 papers in training set
Top 1%
1.8%
17
Nature Communications
4913 papers in training set
Top 51%
1.8%
18
Chemical Engineering Journal
10 papers in training set
Top 0.2%
1.7%
19
Environmental Science & Technology
64 papers in training set
Top 2%
1.5%
20
Physics of Fluids
13 papers in training set
Top 0.2%
1.4%
21
ACS Sensors
45 papers in training set
Top 0.9%
1.4%
22
Journal of Controlled Release
39 papers in training set
Top 0.6%
1.4%
23
Molecular Pharmaceutics
16 papers in training set
Top 0.4%
1.0%
24
Langmuir
31 papers in training set
Top 0.4%
0.9%
25
Journal of Colloid and Interface Science
12 papers in training set
Top 0.3%
0.9%
26
Biomacromolecules
25 papers in training set
Top 0.3%
0.8%
27
Biotechnology and Bioengineering
49 papers in training set
Top 0.7%
0.8%
28
Nano Letters
63 papers in training set
Top 3%
0.8%
29
Advanced Therapeutics
15 papers in training set
Top 0.4%
0.8%
30
ACS Nano
99 papers in training set
Top 4%
0.8%