Back

Redox hysteresis controls the NADH-dependent reduction of cytochrome b5 in rat microsomes

Martinez-Costa, O. H.; Ben-Salah, A.; Valerio, G. N.; Cordas, C. M.; Samhan-Arias, A. K.

2026-01-08 biochemistry
10.64898/2026.01.08.698363 bioRxiv
Show abstract

In enzymology, hysteresis is manifested as a time-dependent shift in the kinetic behavior of an enzyme. Through hysteresis, the activation or inhibition of a biological pathway can be regulated by a molecule or metabolite that acts as a hysteretic modulator of the enzyme within that metabolic route. This mechanism of regulation contrasts with those that act on gene expression leading to modulation of enzyme protein levels. Through hysteresis, the amplitude of natural oscillations in metabolic pathways can be adjusted according to the levels of a metabolite that might be beneficial for cells. At physiological level, the slow response of hysteretic enzymes to changes, in the cellular levels of substrates, allows a time-dependent buffering effect on certain metabolites. Understanding the mechanisms and properties of hysteretic enzymes has been important for developing new therapies and improving our understanding of these enzymes in biological systems. However, due to their complex kinetics, the study of hysteretic enzymes has remained a challenge over time. In this study, we characterized the reduction of cytochrome b5 by NADH-dependent microsomal enzymes from rat liver using recombinant purified cytochrome b5, coenzyme Q10 and coenzyme Q0, as substrates, to mimic the conditions found in biological membranes, where competition between cytochrome b5 and other substrates might influence their reduction. We found a lag-time-dependent behavior in the cytochrome b5 reduction compatible with the existence of hysteretic modulation induced by endogenous molecules present in these membranes. Our data suggest that at least for the case of coenzyme Q10, fluctuations in its levels may impact metabolic pathways in which reduced cytochrome b5 levels play a key for the function of the cytochrome b5-dependent route.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
Biochemical Journal
80 papers in training set
Top 0.1%
10.2%
2
Biochimica et Biophysica Acta (BBA) - Bioenergetics
17 papers in training set
Top 0.1%
10.2%
3
Free Radical Biology and Medicine
33 papers in training set
Top 0.1%
7.3%
4
Scientific Reports
3102 papers in training set
Top 27%
4.4%
5
International Journal of Molecular Sciences
453 papers in training set
Top 3%
3.6%
6
Antioxidants
25 papers in training set
Top 0.1%
3.6%
7
Journal of Biological Chemistry
641 papers in training set
Top 0.5%
3.6%
8
Redox Biology
64 papers in training set
Top 0.2%
2.9%
9
The FEBS Journal
78 papers in training set
Top 0.1%
2.9%
10
Biomolecules
95 papers in training set
Top 0.2%
2.1%
50% of probability mass above
11
Metallomics
11 papers in training set
Top 0.1%
1.9%
12
ChemBioChem
50 papers in training set
Top 0.4%
1.9%
13
Archives of Biochemistry and Biophysics
11 papers in training set
Top 0.1%
1.8%
14
Biochemistry
130 papers in training set
Top 0.8%
1.7%
15
Biochemical and Biophysical Research Communications
78 papers in training set
Top 0.5%
1.7%
16
Biophysical Journal
545 papers in training set
Top 3%
1.7%
17
eLife
5422 papers in training set
Top 42%
1.7%
18
PLOS ONE
4510 papers in training set
Top 56%
1.5%
19
Computational and Structural Biotechnology Journal
216 papers in training set
Top 5%
1.3%
20
Frontiers in Molecular Biosciences
100 papers in training set
Top 3%
1.2%
21
The FASEB Journal
175 papers in training set
Top 2%
1.2%
22
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 37%
1.2%
23
Physical Biology
43 papers in training set
Top 1%
1.2%
24
Biochimica et Biophysica Acta (BBA) - Molecular Cell Research
28 papers in training set
Top 0.3%
1.0%
25
Biotechnology and Bioengineering
49 papers in training set
Top 0.7%
0.9%
26
Biochimie
23 papers in training set
Top 0.3%
0.8%
27
Function
15 papers in training set
Top 0.5%
0.8%
28
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 9%
0.8%
29
Pharmaceuticals
33 papers in training set
Top 2%
0.8%
30
Mitochondrion
11 papers in training set
Top 0.2%
0.7%