Lucas Figueiredo Formigosa, Ingrid Cabral dos Santos, Letícia Eduarda Alves e Álvares, Emanuel Negrão Macêdo, Luciana Rocha Barros Gonçalves, Bruno Marques Viegas
This study investigates the enzymatic synthesis of amoxicillin, focusing on its kinetic properties and their influence on antibiotic production in a batch-operated enzymatic reactor. The reaction is catalyzed by penicillin G acylase (PGA, E.C.3.5.1.11), which is immobilized on glyoxyl-agarose. The reaction involves the p-hydroxyphenylglycyne methyl ester and 6-aminopenicillanic acid (6-APA) for amoxicillin formation. Under kinetic control, parallel hydrolytic pathways lead to product loss. Two kinetic models were evaluated: one based on Michaelis–Menten kinetics and another incorporating reaction and equilibrium constants for the process steps. Parameter estimation for the models was performed at different concentrations using two mathematical approaches: the Markov chain Monte Carlo (MCMC) method, rooted in Bayesian statistics and characterized as nondeterministic, and genetic algorithm, an evolutionary computation method incorporating crossover, mutation, and selection operators. The relative root mean squared error (rRMSE) was selected as the metric for evaluating the predictive performance of the models. MCMC presented the best results for low ester concentrations, with rRMSE values ranging from 1.48% to 6.10% for the Michaelis–Menten-based model. The mathematical model was validated using data from an enzymatic reactor operating in semi-batch mode, demonstrating a satisfactory capacity to predict the system's dynamic behavior under this operational condition.
{"title":"Mathematical Modeling of Amoxicillin Synthesis in Batch and Semi-Batch Reactor: Application of Bayesian Statistics and Genetic Algorithm","authors":"Lucas Figueiredo Formigosa, Ingrid Cabral dos Santos, Letícia Eduarda Alves e Álvares, Emanuel Negrão Macêdo, Luciana Rocha Barros Gonçalves, Bruno Marques Viegas","doi":"10.1002/bit.70096","DOIUrl":"10.1002/bit.70096","url":null,"abstract":"<p>This study investigates the enzymatic synthesis of amoxicillin, focusing on its kinetic properties and their influence on antibiotic production in a batch-operated enzymatic reactor. The reaction is catalyzed by penicillin G acylase (PGA, E.C.3.5.1.11), which is immobilized on glyoxyl-agarose. The reaction involves the <i>p</i>-hydroxyphenylglycyne methyl ester and 6-aminopenicillanic acid (6-APA) for amoxicillin formation. Under kinetic control, parallel hydrolytic pathways lead to product loss. Two kinetic models were evaluated: one based on Michaelis–Menten kinetics and another incorporating reaction and equilibrium constants for the process steps. Parameter estimation for the models was performed at different concentrations using two mathematical approaches: the Markov chain Monte Carlo (MCMC) method, rooted in Bayesian statistics and characterized as nondeterministic, and genetic algorithm, an evolutionary computation method incorporating crossover, mutation, and selection operators. The relative root mean squared error (rRMSE) was selected as the metric for evaluating the predictive performance of the models. MCMC presented the best results for low ester concentrations, with rRMSE values ranging from 1.48% to 6.10% for the Michaelis–Menten-based model. The mathematical model was validated using data from an enzymatic reactor operating in semi-batch mode, demonstrating a satisfactory capacity to predict the system's dynamic behavior under this operational condition.</p>","PeriodicalId":9168,"journal":{"name":"Biotechnology and Bioengineering","volume":"123 1","pages":"104-115"},"PeriodicalIF":3.6,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/epdf/10.1002/bit.70096","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145396617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David Ryan, Christiana-Kondylo Sideri, Michael Henry, Selvaprakash Karuppuchamy, Esen Efeoglu, Paula Meleady
Chinese hamster ovary (CHO) cells, widely utilised in biopharmaceutical production, experience various stressors during cell culture that can affect protein expression and folding, particularly within the endoplasmic reticulum (ER). Mild hypothermia is widely employed in CHO cell bioproduction to improve recombinant protein yield and quality; however, its impact on ER-associated pathways, particularly those governing protein folding and stress responses, remains insufficiently characterised. Mass spectrometry-based proteomics allows for the identification and relative quantification of proteins, enabling detailed insights into protein expression, modifications, and functional networks. This study investigates the impact of mild hypothermic conditions (31°C) on the whole cell proteome and ubiquitinated proteome of CHO cells, with a specific focus on ER proteins and ER stress. Using high-resolution mass spectrometry, we conducted a comprehensive proteomic and ubiquitinated proteomic analysis to quantify changes in protein abundance and ubiquitinated peptides under mild hypothermia. The downregulation of several proteins involved in the glycosylation of nascent polypeptides at 31°C, including DDOST, P4HB, PRKSCH and LMAN1, in all cell lines studied suggests that mild hypothermic shock disrupts the cell's normal ability to fold new proteins, leading to ER stress as the misfolded proteins build up. When this is coupled with the maintained cell viability and increased productivity at 31°C, it indicates the ER stress response can mitigate the build-up of misfolded proteins. The differential regulation of the transcription factor eIF2α, downregulated in non-producer cells but upregulated in producer cells at 31°C, suggests that recombinant protein-producing CHO cells possess a more adaptive ER stress response, enabling more efficient function under hypothermic culture conditions. Enhanced ubiquitination of misfolded protein substrates highlights an increased reliance on ER-associated degradation (ERAD) pathways to alleviate proteotoxic stress, as well as the wide range of biological processes that are regulated by ubiquitination as part of the hypothermic stress response. These findings provide new insights into the cellular adaptation mechanisms of CHO cells to mild hypothermia, with implications for optimising bioproduction strategies to improve yield and quality of therapeutic proteins. Our study highlights the importance of understanding the more complex aspects of the proteome and how this additional layer of detail can open new avenues for CHO cell engineering.
{"title":"Proteomic and Ubiquitinated Proteome Insights Into ER Stress Responses in Chinese Hamster Ovary Cells Under Mild Hypothermic Conditions","authors":"David Ryan, Christiana-Kondylo Sideri, Michael Henry, Selvaprakash Karuppuchamy, Esen Efeoglu, Paula Meleady","doi":"10.1002/bit.70081","DOIUrl":"10.1002/bit.70081","url":null,"abstract":"<p>Chinese hamster ovary (CHO) cells, widely utilised in biopharmaceutical production, experience various stressors during cell culture that can affect protein expression and folding, particularly within the endoplasmic reticulum (ER). Mild hypothermia is widely employed in CHO cell bioproduction to improve recombinant protein yield and quality; however, its impact on ER-associated pathways, particularly those governing protein folding and stress responses, remains insufficiently characterised. Mass spectrometry-based proteomics allows for the identification and relative quantification of proteins, enabling detailed insights into protein expression, modifications, and functional networks. This study investigates the impact of mild hypothermic conditions (31°C) on the whole cell proteome and ubiquitinated proteome of CHO cells, with a specific focus on ER proteins and ER stress. Using high-resolution mass spectrometry, we conducted a comprehensive proteomic and ubiquitinated proteomic analysis to quantify changes in protein abundance and ubiquitinated peptides under mild hypothermia. The downregulation of several proteins involved in the glycosylation of nascent polypeptides at 31°C, including DDOST, P4HB, PRKSCH and LMAN1, in all cell lines studied suggests that mild hypothermic shock disrupts the cell's normal ability to fold new proteins, leading to ER stress as the misfolded proteins build up. When this is coupled with the maintained cell viability and increased productivity at 31°C, it indicates the ER stress response can mitigate the build-up of misfolded proteins. The differential regulation of the transcription factor eIF2α, downregulated in non-producer cells but upregulated in producer cells at 31°C, suggests that recombinant protein-producing CHO cells possess a more adaptive ER stress response, enabling more efficient function under hypothermic culture conditions. Enhanced ubiquitination of misfolded protein substrates highlights an increased reliance on ER-associated degradation (ERAD) pathways to alleviate proteotoxic stress, as well as the wide range of biological processes that are regulated by ubiquitination as part of the hypothermic stress response. These findings provide new insights into the cellular adaptation mechanisms of CHO cells to mild hypothermia, with implications for optimising bioproduction strategies to improve yield and quality of therapeutic proteins. Our study highlights the importance of understanding the more complex aspects of the proteome and how this additional layer of detail can open new avenues for CHO cell engineering.</p>","PeriodicalId":9168,"journal":{"name":"Biotechnology and Bioengineering","volume":"123 1","pages":"5-25"},"PeriodicalIF":3.6,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/epdf/10.1002/bit.70081","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145373844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}