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Martínez-Pizarro A, Picó S, López-Márquez A, Rodriguez-López C, Montalvo E, Alvarez M, Castro M, Ramón-Maiques S, Pérez B, Lucas JJ, Richard E, Desviat LR. PAH deficient pathology in humanized c.1066-11G>A phenylketonuria mice. Hum Mol Genet 2024; 33:1074-1089. [PMID: 38520741 PMCID: PMC11153335 DOI: 10.1093/hmg/ddae051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 02/12/2024] [Accepted: 03/12/2024] [Indexed: 03/25/2024] Open
Abstract
We have generated using CRISPR/Cas9 technology a partially humanized mouse model of the neurometabolic disease phenylketonuria (PKU), carrying the highly prevalent PAH variant c.1066-11G>A. This variant creates an alternative 3' splice site, leading to the inclusion of 9 nucleotides coding for 3 extra amino acids between Q355 and Y356 of the protein. Homozygous Pah c.1066-11A mice, with a partially humanized intron 10 sequence with the variant, accurately recapitulate the splicing defect and present almost undetectable hepatic PAH activity. They exhibit fur hypopigmentation, lower brain and body weight and reduced survival. Blood and brain phenylalanine levels are elevated, along with decreased tyrosine, tryptophan and monoamine neurotransmitter levels. They present behavioral deficits, mainly hypoactivity and diminished social interaction, locomotor deficiencies and an abnormal hind-limb clasping reflex. Changes in the morphology of glial cells, increased GFAP and Iba1 staining signals and decreased myelinization are observed. Hepatic tissue exhibits nearly absent PAH protein, reduced levels of chaperones DNAJC12 and HSP70 and increased autophagy markers LAMP1 and LC3BII, suggesting possible coaggregation of mutant PAH with chaperones and subsequent autophagy processing. This PKU mouse model with a prevalent human variant represents a useful tool for pathophysiology research and for novel therapies development.
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Affiliation(s)
- Ainhoa Martínez-Pizarro
- Centro de Biología Molecular Severo Ochoa UAM-CSIC, Universidad Autónoma de Madrid, Nicolás Cabrera 1, 28049 Madrid, Spain
- Instituto Universitario de Biología Molecular, UAM, Nicolás Cabrera 1, 28049 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Av. Monforte de Lemos, 3-5. 28029 Madrid, Spain
- Instituto de Investigación Sanitaria Hospital La Paz (IdiPaz), Pedro Rico, 6, 28029 Madrid, Spain
| | - Sara Picó
- Centro de Biología Molecular Severo Ochoa UAM-CSIC, Universidad Autónoma de Madrid, Nicolás Cabrera 1, 28049 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), ISCIII, Av. Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Arístides López-Márquez
- Centro de Biología Molecular Severo Ochoa UAM-CSIC, Universidad Autónoma de Madrid, Nicolás Cabrera 1, 28049 Madrid, Spain
- Instituto Universitario de Biología Molecular, UAM, Nicolás Cabrera 1, 28049 Madrid, Spain
| | - Claudia Rodriguez-López
- Centro de Biología Molecular Severo Ochoa UAM-CSIC, Universidad Autónoma de Madrid, Nicolás Cabrera 1, 28049 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), ISCIII, Av. Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Elena Montalvo
- Centro de Biología Molecular Severo Ochoa UAM-CSIC, Universidad Autónoma de Madrid, Nicolás Cabrera 1, 28049 Madrid, Spain
- Instituto Universitario de Biología Molecular, UAM, Nicolás Cabrera 1, 28049 Madrid, Spain
| | - Mar Alvarez
- Centro de Biología Molecular Severo Ochoa UAM-CSIC, Universidad Autónoma de Madrid, Nicolás Cabrera 1, 28049 Madrid, Spain
| | - Margarita Castro
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Av. Monforte de Lemos, 3-5. 28029 Madrid, Spain
- Instituto de Investigación Sanitaria Hospital La Paz (IdiPaz), Pedro Rico, 6, 28029 Madrid, Spain
- Centro de Diagnóstico de Enfermedades Moleculares (CEDEM), Francisco Tomás y Valiente 7, Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Santiago Ramón-Maiques
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Av. Monforte de Lemos, 3-5. 28029 Madrid, Spain
- Instituto de Biomedicina de Valencia (IBV-CSIC), Jaume Roig, 11, 46010 València, Valencia, Spain
| | - Belén Pérez
- Centro de Biología Molecular Severo Ochoa UAM-CSIC, Universidad Autónoma de Madrid, Nicolás Cabrera 1, 28049 Madrid, Spain
- Instituto Universitario de Biología Molecular, UAM, Nicolás Cabrera 1, 28049 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Av. Monforte de Lemos, 3-5. 28029 Madrid, Spain
- Instituto de Investigación Sanitaria Hospital La Paz (IdiPaz), Pedro Rico, 6, 28029 Madrid, Spain
- Centro de Diagnóstico de Enfermedades Moleculares (CEDEM), Francisco Tomás y Valiente 7, Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - José J Lucas
- Centro de Biología Molecular Severo Ochoa UAM-CSIC, Universidad Autónoma de Madrid, Nicolás Cabrera 1, 28049 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), ISCIII, Av. Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Eva Richard
- Centro de Biología Molecular Severo Ochoa UAM-CSIC, Universidad Autónoma de Madrid, Nicolás Cabrera 1, 28049 Madrid, Spain
- Instituto Universitario de Biología Molecular, UAM, Nicolás Cabrera 1, 28049 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Av. Monforte de Lemos, 3-5. 28029 Madrid, Spain
- Instituto de Investigación Sanitaria Hospital La Paz (IdiPaz), Pedro Rico, 6, 28029 Madrid, Spain
| | - Lourdes R Desviat
- Centro de Biología Molecular Severo Ochoa UAM-CSIC, Universidad Autónoma de Madrid, Nicolás Cabrera 1, 28049 Madrid, Spain
- Instituto Universitario de Biología Molecular, UAM, Nicolás Cabrera 1, 28049 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Av. Monforte de Lemos, 3-5. 28029 Madrid, Spain
- Instituto de Investigación Sanitaria Hospital La Paz (IdiPaz), Pedro Rico, 6, 28029 Madrid, Spain
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Tan Q, Xiao J, Chen J, Wang Y, Zhang Z, Zhao T, Li Y. ifDEEPre: large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers. Brief Bioinform 2024; 25:bbae225. [PMID: 38942594 PMCID: PMC11213619 DOI: 10.1093/bib/bbae225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 03/26/2024] [Accepted: 04/22/2024] [Indexed: 06/30/2024] Open
Abstract
Accurate understanding of the biological functions of enzymes is vital for various tasks in both pathologies and industrial biotechnology. However, the existing methods are usually not fast enough and lack explanations on the prediction results, which severely limits their real-world applications. Following our previous work, DEEPre, we propose a new interpretable and fast version (ifDEEPre) by designing novel self-guided attention and incorporating biological knowledge learned via large protein language models to accurately predict the commission numbers of enzymes and confirm their functions. Novel self-guided attention is designed to optimize the unique contributions of representations, automatically detecting key protein motifs to provide meaningful interpretations. Representations learned from raw protein sequences are strictly screened to improve the running speed of the framework, 50 times faster than DEEPre while requiring 12.89 times smaller storage space. Large language modules are incorporated to learn physical properties from hundreds of millions of proteins, extending biological knowledge of the whole network. Extensive experiments indicate that ifDEEPre outperforms all the current methods, achieving more than 14.22% larger F1-score on the NEW dataset. Furthermore, the trained ifDEEPre models accurately capture multi-level protein biological patterns and infer evolutionary trends of enzymes by taking only raw sequences without label information. Meanwhile, ifDEEPre predicts the evolutionary relationships between different yeast sub-species, which are highly consistent with the ground truth. Case studies indicate that ifDEEPre can detect key amino acid motifs, which have important implications for designing novel enzymes. A web server running ifDEEPre is available at https://proj.cse.cuhk.edu.hk/aihlab/ifdeepre/ to provide convenient services to the public. Meanwhile, ifDEEPre is freely available on GitHub at https://github.com/ml4bio/ifDEEPre/.
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Affiliation(s)
- Qingxiong Tan
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jin Xiao
- Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China
| | - Jiayang Chen
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yixuan Wang
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Zeliang Zhang
- Department of Computer Science, University of Rochester, Rochester, New York State, USA
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | | | - Yu Li
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
- The CUHK Shenzhen Research Institute, Nanshan, Shenzhen, China
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3
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Thöny B, Ng J, Kurian MA, Mills P, Martinez A. Mouse models for inherited monoamine neurotransmitter disorders. J Inherit Metab Dis 2024; 47:533-550. [PMID: 38168036 DOI: 10.1002/jimd.12710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 11/07/2023] [Accepted: 12/19/2023] [Indexed: 01/05/2024]
Abstract
Several mouse models have been developed to study human defects of primary and secondary inherited monoamine neurotransmitter disorders (iMND). As the field continues to expand, current defects in corresponding mouse models include enzymes and a molecular co-chaperone involved in monoamine synthesis and metabolism (PAH, TH, PITX3, AADC, DBH, MAOA, DNAJC6), tetrahydrobiopterin (BH4) cofactor synthesis and recycling (adGTPCH1/DRD, arGTPCH1, PTPS, SR, DHPR), and vitamin B6 cofactor deficiency (ALDH7A1), as well as defective monoamine neurotransmitter packaging (VMAT1, VMAT2) and reuptake (DAT). No mouse models are available for human DNAJC12 co-chaperone and PNPO-B6 deficiencies, disorders associated with recessive variants that result in decreased stability and function of the aromatic amino acid hydroxylases and decreased neurotransmitter synthesis, respectively. More than one mutant mouse is available for some of these defects, which is invaluable as different variant-specific (knock-in) models may provide more insights into underlying mechanisms of disorders, while complete gene inactivation (knock-out) models often have limitations in terms of recapitulating complex human diseases. While these mouse models have common phenotypic traits also observed in patients, reflecting the defective homeostasis of the monoamine neurotransmitter pathways, they also present with disease-specific manifestations with toxic accumulation or deficiency of specific metabolites related to the specific gene affected. This review provides an overview of the currently available models and may give directions toward selecting existing models or generating new ones to investigate novel pathogenic mechanisms and precision therapies.
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Affiliation(s)
- Beat Thöny
- Division of Metabolism and Children's Research Center, University Children's Hospital Zurich, Zürich, Switzerland
| | - Joanne Ng
- Genetic Therapy Accelerator Centre, University College London, Queen Square Institute of Neurology, London, UK
| | - Manju A Kurian
- Zayed Centre for Research into Rare Disease in Children, GOS Institute of Child Health, University College London, London, UK
- Department of Neurology, Great Ormond Street Hospital, London, UK
| | - Philippa Mills
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Aurora Martinez
- Department of Biomedicine and Center for Translational Research in Parkinson's Disease, University of Bergen, Bergen, Norway
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
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Martinez M, Harding CO, Schwank G, Thöny B. State-of-the-art 2023 on gene therapy for phenylketonuria. J Inherit Metab Dis 2024; 47:80-92. [PMID: 37401651 PMCID: PMC10764640 DOI: 10.1002/jimd.12651] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/13/2023] [Accepted: 06/30/2023] [Indexed: 07/05/2023]
Abstract
Phenylketonuria (PKU) or hyperphenylalaninemia is considered a paradigm for an inherited (metabolic) liver defect and is, based on murine models that replicate all human pathology, an exemplar model for experimental studies on liver gene therapy. Variants in the PAH gene that lead to hyperphenylalaninemia are never fatal (although devastating if untreated), newborn screening has been available for two generations, and dietary treatment has been considered for a long time as therapeutic and satisfactory. However, significant shortcomings of contemporary dietary treatment of PKU remain. A long list of various gene therapeutic experimental approaches using the classical model for human PKU, the homozygous enu2/2 mouse, witnesses the value of this model to develop treatment for a genetic liver defect. The list of experiments for proof of principle includes recombinant viral (AdV, AAV, and LV) and non-viral (naked DNA or LNP-mRNA) vector delivery methods, combined with gene addition, genome, gene or base editing, and gene insertion or replacement. In addition, a list of current and planned clinical trials for PKU gene therapy is included. This review summarizes, compares, and evaluates the various approaches for the sake of scientific understanding and efficacy testing that may eventually pave the way for safe and efficient human application.
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Affiliation(s)
- Michael Martinez
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| | - Cary O. Harding
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| | - Gerald Schwank
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Beat Thöny
- Division of Metabolism, University Children’s Hospital Zurich and Children’s Research Centre, Zurich, Switzerland
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Sarodaya N, Tyagi A, Kim HJ, Colaco JC, Kang JS, Kim WJ, Kim KS, Ramakrishna S. Deubiquitinase USP19 enhances phenylalanine hydroxylase protein stability and its enzymatic activity. Cell Biol Toxicol 2023; 39:2295-2310. [PMID: 35449354 DOI: 10.1007/s10565-022-09719-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 04/07/2022] [Indexed: 12/13/2022]
Abstract
Phenylalanine hydroxylase (PAH) is the key enzyme in phenylalanine metabolism, deficiency of which is associated with the most common metabolic phenotype of phenylketonuria (PKU) and hyperphenylalaninemia (HPA). A bulk of PKU disease-associated missense mutations in the PAH gene have been studied, and the consequence of each PAH variant vary immensely. Prior research established that PKU-associated variants possess defects in protein folding with reduced cellular stability leading to rapid degradation. However, recent evidence revealed that PAH tetramers exist as a mixture of resting state and activated state whose transition depends upon the phenylalanine concentration and certain PAH variants that fail to modulate the structural equilibrium are associated with PKU disease. Collectively, these findings framed our understanding of the complex genotype-phenotype correlation in PKU. In the current study, we substantiate a link between PAH protein stability and its degradation by the ubiquitin-mediated proteasomal degradation system. Here, we provide an evidence that PAH protein undergoes ubiquitination and proteasomal degradation, which can be reversed by deubiquitinating enzymes (DUBs). We identified USP19 as a novel DUB that regulates PAH protein stability. We found that ectopic expression of USP19 increased PAH protein level, whereas depletion of USP19 promoted PAH protein degradation. Our study indicates that USP19 interacts with PAH and prevents polyubiquitination of PAH subsequently extending the half-life of PAH protein. Finally, the increase in the level of PAH protein by the deubiquitinating activity of USP19 resulted in enhanced metabolic function of PAH. In summary, our study identifies the role of USP19 in regulating PAH protein stability and promotes its metabolic activity. Graphical highlights 1. E3 ligase Cdh1 promotes PAH protein degradation leading to insufficient cellular amount of PAH causing PKU. 2. A balance between E3 ligase and DUB is important to regulate the proteostasis of PAH. 3. USP19 deubiquitinates and stabilizes PAH further protecting it from rapid degradation. 4. USP19 increases the enzymatic activity of PAH, thus maintaining normal Phe levels.
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Affiliation(s)
- Neha Sarodaya
- Graduate School of Biomedical Science and Engineering, Hanyang University, Seoul, South Korea
| | - Apoorvi Tyagi
- Graduate School of Biomedical Science and Engineering, Hanyang University, Seoul, South Korea
| | - Hyun-Jin Kim
- Department of Pharmacology, College of Medicine, Hanyang University, Seoul, South Korea
| | - Jencia Carminha Colaco
- Graduate School of Biomedical Science and Engineering, Hanyang University, Seoul, South Korea
| | - Ju-Seop Kang
- Department of Pharmacology, College of Medicine, Hanyang University, Seoul, South Korea
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, South Korea
| | - Kye-Seong Kim
- Graduate School of Biomedical Science and Engineering, Hanyang University, Seoul, South Korea.
- College of Medicine, Hanyang University, Seoul, South Korea.
| | - Suresh Ramakrishna
- Graduate School of Biomedical Science and Engineering, Hanyang University, Seoul, South Korea.
- College of Medicine, Hanyang University, Seoul, South Korea.
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Tankeu AT, Pavlidou DC, Superti-Furga A, Gariani K, Tran C. Overweight and obesity in adult patients with phenylketonuria: a systematic review. Orphanet J Rare Dis 2023; 18:37. [PMID: 36814307 PMCID: PMC9945382 DOI: 10.1186/s13023-023-02636-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 02/06/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND Excess weight is a rising concern in patients with phenylketonuria (PKU). It is commonly observed in children and adolescents with PKU; but data on adults are inconsistent. This review aims to summarize available data on excess weight in adult PKU individuals. METHODS We conducted a systematic search of literature in English, from inception to October 2021, on PubMed and Embase to identify articles on overweight and obesity in adult PKU patients. Prevalence of overweight and obesity, body mass index (BMI) and gender differences were the outcomes of interest. RESULTS Of 260 articles identified, only 8 fulfilled quality criteria for inclusion after screening of titles, abstracts and full texts. The mean BMI of adult PKU patients in these studies ranged from 26 ± 5.4 to 30.3 ± 1.8 kg/m2. When compared to matched controls, adult PKU patients had higher BMI and higher prevalence of obesity. However, results were inconsistent when PKU adults were compared to the general population. The prevalence of obesity in the included studies varied widely between 4.5% up to 72% in individual studies. Obesity was 2-3 times more frequent in female PKU patients. CONCLUSIONS Excess weight is frequent in adult PKU patients, especially in females, even if the difference with the general population is debatable. The heterogeneity of the studies makes it difficult to interpret the results and the factors that contribute to obesity. Content of the diet, psychological status, diet-associated disordered eating, patient's social environment and lifestyle are listed as potentials contributors to excess weight in PKU adult population. Further studies are needed to better elucidate this question. In the meantime, weight control and healthy eating habits should be considered in the management and follow-up of these patients.
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Affiliation(s)
- Aurel T. Tankeu
- grid.8515.90000 0001 0423 4662Division of Genetic Medicine, University of Lausanne and University Hospital of Lausanne, Lausanne, Switzerland
| | - Despina Christina Pavlidou
- grid.8515.90000 0001 0423 4662Division of Genetic Medicine, University of Lausanne and University Hospital of Lausanne, Lausanne, Switzerland
| | - Andrea Superti-Furga
- grid.8515.90000 0001 0423 4662Division of Genetic Medicine, University of Lausanne and University Hospital of Lausanne, Lausanne, Switzerland
| | - Karim Gariani
- grid.150338.c0000 0001 0721 9812Service of Endocrinology, Diabetes, Nutrition and Therapeutic Patient Education, Geneva University Hospitals and Geneva University, Geneva, Switzerland
| | - Christel Tran
- Division of Genetic Medicine, University of Lausanne and University Hospital of Lausanne, Lausanne, Switzerland.
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Xu J, Chen Y, Fan X, Shi Z, Liu M, Zeng X, Wu Z, Pan D. Isolation, identification, and characterization of corn-derived antioxidant peptides from corn fermented milk by Limosilactobacillus fermentum. Front Nutr 2022; 9:1041655. [PMID: 36438739 PMCID: PMC9681995 DOI: 10.3389/fnut.2022.1041655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 10/28/2022] [Indexed: 11/11/2022] Open
Abstract
Dairy-derived peptides and corn-derived peptides have been identified as essential ingredients for health promotion in the food industry. The hydrolysis based on lactic acid bacteria (LAB) protease system is one of the most popular methods to prepare bioactive peptides. The objectives of this paper are to develop antioxidant fermented milk and to obtain natural antioxidant peptides. In our study, LAB with antioxidant capacity were screened in vitro, and the corn fermented milk with antioxidant capacity was achieved by the traditional fermentation method. Fermented milk was purified by ultrafiltration and molecular sieve, and identified by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Our findings demonstrate that Limosilactobacillus fermentum L15 had a scavenging capacity of more than 80% of DPPH radicals, Trolox equivalent antioxidant capacity (TEAC) of 0.348 ± 0.005 mmol/L. Meanwhile, the peptide content of corn fermented milk prepared with L. fermentum L15 was 0.914 ± 0.009 mg/mL and TAEC of 0.781 ± 0.020 mmol/L. Particularly important, IGGIGTVPVGR and LTTVTPGSR isolated and extracted from fermented milk were found to have antioxidant capacity for the first time. The synthetic peptides IGGIGTVPVGR and LTTVTPGSR demonstrated a scavenging capacity of 70.07 ± 2.71% and 70.07 ± 2.77% for DPPH radicals and an antioxidant capacity of 0.62 ± 0.01 mmol/L and 0.64 ± 0.02 mmol/L Trolox equivalent, respectively. This research provides ideas and basis for the development and utilization of functional dairy products.
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Affiliation(s)
- Jue Xu
- Key Laboratory of Animal Protein Food Deep Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo, China
| | - Yingyan Chen
- Department of Food Science and Technology, School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China
| | - Xiankang Fan
- Key Laboratory of Animal Protein Food Deep Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo, China
| | - Zihang Shi
- Key Laboratory of Animal Protein Food Deep Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo, China
| | - Mingzhen Liu
- Key Laboratory of Animal Protein Food Deep Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo, China
| | - Xiaoqun Zeng
- Key Laboratory of Animal Protein Food Deep Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo, China
| | - Zhen Wu
- Key Laboratory of Animal Protein Food Deep Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo, China
| | - Daodong Pan
- Key Laboratory of Animal Protein Food Deep Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo, China
- *Correspondence: Daodong Pan
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8
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Deubiquitinase USP19 extends the residual enzymatic activity of phenylalanine hydroxylase variants. Sci Rep 2022; 12:14243. [PMID: 35987969 PMCID: PMC9392723 DOI: 10.1038/s41598-022-18656-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 08/17/2022] [Indexed: 11/09/2022] Open
Abstract
Phenylalanine hydroxylase (PAH) is a key enzyme in mammals that maintains the phenylalanine (Phe) concentration at an appropriate physiological level. Some genetic mutations in the PAH gene lead to destabilization of the PAH enzyme, leading to phenylketonuria (PKU). Destabilized PAH variants can have a certain amount of residual enzymatic activity that is sufficient for metabolism of Phe. However, accelerated degradation of those variants can lead to insufficient amounts of cellular PAH protein. The optimal protein level of PAH in cells is regulated by a balancing act between E3 ligases and deubiquitinating enzymes (DUBs). In this work, we analyzed the protein expression and stability of two PKU-linked PAH protein variants, R241C and R243Q, prevalent in the Asian population. We found that the tested PAH variants were highly ubiquitinated and thus targeted for rapid protein degradation. We demonstrated that USP19, a DUB that interacts with both PAH variants, plays a regulatory role by extending their half-lives. The deubiquitinating activity of USP19 prevents protein degradation and increases the abundance of both PAH protein variants. Thus, our study reveals a novel mechanism by which deubiquitinating activity of USP19 extends the residual enzymatic activity of PAH variants.
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Chen A, Kristiansen CK, Høyland LE, Ziegler M, Wang J, Sullivan GJ, Li X, Bindoff LA, Liang KX. POLG mutations lead to abnormal mitochondrial remodeling during neural differentiation of human pluripotent stem cells via SIRT3/AMPK pathway inhibition. Cell Cycle 2022; 21:1178-1193. [PMID: 35298342 PMCID: PMC9103491 DOI: 10.1080/15384101.2022.2044136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
We showed previously that POLG mutations cause major changes in mitochondrial function, including loss of mitochondrial respiratory chain (MRC) complex I, mitochondrial DNA (mtDNA) depletion and an abnormal NAD+/NADH ratio in both neural stem cells (NSCs) and astrocytes differentiated from induced pluripotent stem cells (iPSCs). In the current study, we looked at mitochondrial remodeling as stem cells transit pluripotency and during differentiation from NSCs to both dopaminergic (DA) neurons and astrocytes comparing the process in POLG-mutated and control stem cells. We saw that mitochondrial membrane potential (MMP), mitochondrial volume, ATP production and reactive oxygen species (ROS) changed in similar ways in POLG and control NSCs, but mtDNA replication, MRC complex I and NAD+ metabolism failed to remodel normally. In DA neurons differentiated from NSCs, we saw that POLG mutations caused failure to increase MMP and ATP production and blunted the increase in mtDNA and complex I. Interestingly, mitochondrial remodeling during astrocyte differentiation from NSCs was similar in both POLG-mutated and control NSCs. Further, we showed downregulation of the SIRT3/AMPK pathways in POLG-mutated cells, suggesting that POLG mutations lead to abnormal mitochondrial remodeling in early neural development due to the downregulation of these pathways. [Figure: see text].
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Affiliation(s)
- Anbin Chen
- Department of Neurosurgery, Qilu Hospital and Institute of Brain and Brain-Inspired Science, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China,Shandong Key Laboratory of Brain Function Remodeling, Jinan, Shandong Province, China,Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway
| | - Cecilie Katrin Kristiansen
- Neuro-SysMed, Center of Excellence for Clinical Research in Neurological Diseases, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | | | | | - Jian Wang
- Department of Neurosurgery, Qilu Hospital and Institute of Brain and Brain-Inspired Science, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China,Shandong Key Laboratory of Brain Function Remodeling, Jinan, Shandong Province, China,Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Gareth John Sullivan
- Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway,Institute of Immunology, Oslo University Hospital, Oslo, Norway,Hybrid Technology Hub Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway,Department of Pediatric Research, Oslo University Hospital, Oslo, Norway
| | - Xingang Li
- Department of Neurosurgery, Qilu Hospital and Institute of Brain and Brain-Inspired Science, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China,Shandong Key Laboratory of Brain Function Remodeling, Jinan, Shandong Province, China,CONTACT Kristina Xiao Liang Department of Clinical Medicine (K1, University of Bergen, Jonas Lies vei 87, P. O. Box 7804, Jinan5021 Bergen, Norway
| | - Laurence A. Bindoff
- Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway,Neuro-SysMed, Center of Excellence for Clinical Research in Neurological Diseases, Department of Neurology, Haukeland University Hospital, Bergen, Norway,Laurence A. Bindoff Department of Clinical Medicine, University of Bergen,Norway
| | - Kristina Xiao Liang
- Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway,Neuro-SysMed, Center of Excellence for Clinical Research in Neurological Diseases, Department of Neurology, Haukeland University Hospital, Bergen, Norway,Kristina Xiao Liang Department of Clinical Medicine (K1), University of Bergen, Jonas Lies veg 87, N-5021 Bergen, Norway
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Personalized Medicine to Improve Treatment of Dopa-Responsive Dystonia-A Focus on Tyrosine Hydroxylase Deficiency. J Pers Med 2021; 11:jpm11111186. [PMID: 34834538 PMCID: PMC8625014 DOI: 10.3390/jpm11111186] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 11/08/2021] [Accepted: 11/09/2021] [Indexed: 11/25/2022] Open
Abstract
Dopa-responsive dystonia (DRD) is a rare movement disorder associated with defective dopamine synthesis. This impairment may be due to the fact of a deficiency in GTP cyclohydrolase I (GTPCHI, GCH1 gene), sepiapterin reductase (SR), tyrosine hydroxylase (TH), or 6-pyruvoyl tetrahydrobiopterin synthase (PTPS) enzyme functions. Mutations in GCH1 are most frequent, whereas fewer cases have been reported for individual SR-, PTP synthase-, and TH deficiencies. Although termed DRD, a subset of patients responds poorly to L-DOPA. As this is regularly observed in severe cases of TH deficiency (THD), there is an urgent demand for more adequate or personalized treatment options. TH is a key enzyme that catalyzes the rate-limiting step in catecholamine biosynthesis, and THD patients often present with complex and variable phenotypes, which results in frequent misdiagnosis and lack of appropriate treatment. In this expert opinion review, we focus on THD pathophysiology and ongoing efforts to develop novel therapeutics for this rare disorder. We also describe how different modeling approaches can be used to improve genotype to phenotype predictions and to develop in silico testing of treatment strategies. We further discuss the current status of mathematical modeling of catecholamine synthesis and how such models can be used together with biochemical data to improve treatment of DRD patients.
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