scholarly journals Elaboration of the Corticosteroid Synthesis Pathway in Primates through a Multistep Enzyme

2020 ◽  
Vol 37 (8) ◽  
pp. 2257-2267
Author(s):  
Carrie F Olson-Manning

Abstract Metabolic networks are complex cellular systems dependent on the interactions among, and regulation of, the enzymes in the network. Although there is great diversity of types of enzymes that make up metabolic networks, the models meant to understand the possible evolutionary outcomes following duplication neglect specifics about the enzyme, pathway context, and cellular constraints. To illuminate the mechanisms that shape the evolution of biochemical pathways, I functionally characterize the consequences of gene duplication of an enzyme family that performs multiple subsequent enzymatic reactions (a multistep enzyme) in the corticosteroid pathway in primates. The products of the corticosteroid pathway (aldosterone and cortisol) are steroid hormones that regulate metabolism and stress response in tetrapods. These steroid hormones are synthesized by a multistep enzyme Cytochrome P450 11B (CYP11B) that performs subsequent steps on different carbon atoms of the steroid derivatives. Through ancestral state reconstruction and in vitro characterization, I find that the primate ancestor of the CYP11B1 and CYP11B2 paralogs had moderate ability to synthesize both cortisol and aldosterone. Following duplication in Old World primates, the CYP11B1 homolog specialized on the production of cortisol, whereas its paralog, CYP11B2, maintained its ability to perform multiple subsequent steps as in the ancestral pathway. Unlike CYP11B1, CYP11B2 could not specialize on the production of aldosterone because it is constrained to perform earlier steps in the corticosteroid synthesis pathway to achieve the final product aldosterone. These results suggest that enzyme function, pathway context, along with tissue-specific regulation, both play a role in shaping potential outcomes of metabolic network elaboration.

Author(s):  
Carrie F. Olson-Manning

AbstractMetabolic networks are complex cellular systems dependent on the interactions among, and regulation of, the enzymes in the network. However, the mechanisms that lead to the expansion of networks are not well understood. While gene duplication is a major driver of the expansion and functional evolution of metabolic networks, the effect and fate of retained duplicates in a network is poorly understood. Here, I study the evolution of an enzyme family that performs multiple subsequent enzymatic reactions in the corticosteroid pathway in primates to illuminate the mechanisms that shape network components following duplication. The products of the pathway (aldosterone, corticosterone, and cortisol) are steroid hormones that regulate metabolism and stress in tetrapods. These steroids are synthesized by a multi-step enzyme Cytochrome P450 11B (CYP11B) that performs subsequent steps on different carbon atoms of the steroid derivatives. Through ancestral state reconstruction and in vitro characterization, I find the ancestor of the CYP11B1 and CYP11B2 paralogs (in primates) had moderate ability to synthesize cortisol and aldosterone. Following duplication in the primate lineage the CYP11B1 homolog specialized on the production of cortisol while its paralog, CYP11B2, maintained its ability to perform multiple subsequent steps as in the ancestral pathway. Unlike CYP11B1, CYP11B2 could not specialize on the production of aldosterone because it is constrained to perform earlier steps in the corticosteroid synthesis pathway to achieve the final product aldosterone. These results suggest that pathway context, along with tissue-specific regulation, both play a role in shaping potential outcomes of metabolic network elaboration.


1980 ◽  
Vol 59 (2) ◽  
pp. 168-175 ◽  
Author(s):  
John A. Mangos

Isolated human parotid acinar cells have been used for the in vitro characterization of the muscarinic cholinergic and alpha- and beta-adrenergic receptors of these cells. The agonist-antagonist interactions at the receptor level were studied, and the role of the receptor-activated cellular systems in the process of secretion was characterized.


Endocrinology ◽  
1999 ◽  
Vol 140 (4) ◽  
pp. 1567-1574 ◽  
Author(s):  
Florence Machinal ◽  
Marie-Noelle Dieudonne ◽  
Marie-Christine Leneveu ◽  
Rene Pecquery ◽  
Yves Giudicelli

2018 ◽  
Vol 8 (3) ◽  
pp. 36-41
Author(s):  
Diep Do Thi Hong ◽  
Duong Le Phuoc ◽  
Hoai Nguyen Thi ◽  
Serra Pier Andrea ◽  
Rocchitta Gaia

Background: The first biosensor was constructed more than fifty years ago. It was composed of the biorecognition element and transducer. The first-generation enzyme biosensors play important role in monitoring neurotransmitter and determine small quantities of substances in complex matrices of the samples Glutamate is important biochemicals involved in energetic metabolism and neurotransmission. Therefore, biosensors requires the development a new approach exhibiting high sensibility, good reproducibility and longterm stability. The first-generation enzyme biosensors play important role in monitoring neurotransmitter and determine small quantities of substances in complex matrices of the samples. The aims of this work: To find out which concentration of polyethylenimine (PEI) exhibiting the most high sensibility, good reproducibility and long-term stability. Methods: We designed and developed glutamate biosensor using different concentration of PEI ranging from 0% to 5% at Day 1 and Day 8. Results: After Glutamate biosensors in-vitro characterization, several PEI concentrations, ranging from 0.5% to 1% seem to be the best in terms of VMAX, the KM; while PEI content ranging from 0.5% to 1% resulted stable, PEI 1% displayed an excellent stability. Conclusions: In the result, PEI 1% perfomed high sensibility, good stability and blocking interference. Furthermore, we expect to develop and characterize an implantable biosensor capable of detecting glutamate, glucose in vivo. Key words: Glutamate biosensors, PEi (Polyethylenimine) enhances glutamate oxidase, glutamate oxidase biosensors


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