1
|
Kaynar A, Kim W, Ceyhan AB, Zhang C, Uhlén M, Turkez H, Shoaie S, Mardinoglu A. Unveiling the Molecular Mechanisms of Glioblastoma through an Integrated Network-Based Approach. Biomedicines 2024; 12:2237. [PMID: 39457550 PMCID: PMC11504402 DOI: 10.3390/biomedicines12102237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 09/23/2024] [Accepted: 09/27/2024] [Indexed: 10/28/2024] Open
Abstract
Background/Objectives: Despite current treatments extending the lifespan of Glioblastoma (GBM) patients, the average survival time is around 15-18 months, underscoring the fatality of GBM. This study aims to investigate the impact of sample heterogeneity on gene expression in GBM, identify key metabolic pathways and gene modules, and explore potential therapeutic targets. Methods: In this study, we analysed GBM transcriptome data derived from The Cancer Genome Atlas (TCGA) using genome-scale metabolic models (GEMs) and co-expression networks. We examine transcriptome data incorporating tumour purity scores (TPSs), allowing us to assess the impact of sample heterogeneity on gene expression profiles. We analysed the metabolic profile of GBM by generating condition-specific GEMs based on the TPS group. Results: Our findings revealed that over 90% of genes showing brain and glioma specificity in RNA expression demonstrate a high positive correlation, underscoring their expression is dominated by glioma cells. Conversely, negatively correlated genes are strongly associated with immune responses, indicating a complex interaction between glioma and immune pathways and non-tumorigenic cell dominance on gene expression. TPS-based metabolic profile analysis was supported by reporter metabolite analysis, highlighting several metabolic pathways, including arachidonic acid, kynurenine and NAD pathway. Through co-expression network analysis, we identified modules that significantly overlap with TPS-correlated genes. Notably, SOX11 and GSX1 are upregulated in High TPS, show a high correlation with TPS, and emerged as promising therapeutic targets. Additionally, NCAM1 exhibits a high centrality score within the co-expression module, which shows a positive correlation with TPS. Moreover, LILRB4, an immune-related gene expressed in the brain, showed a negative correlation and upregulated in Low TPS, highlighting the importance of modulating immune responses in the GBM mechanism. Conclusions: Our study uncovers sample heterogeneity's impact on gene expression and the molecular mechanisms driving GBM, and it identifies potential therapeutic targets for developing effective treatments for GBM patients.
Collapse
Affiliation(s)
- Ali Kaynar
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral and Craniofacial Sciences, King’s College London, London SE1 9RT, UK; (A.K.); (A.B.C.); (S.S.)
| | - Woonghee Kim
- Science for Life Laboratory, KTH-Royal Institute of Technology, 171211 Stockholm, Sweden; (W.K.); (C.Z.); (M.U.)
| | - Atakan Burak Ceyhan
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral and Craniofacial Sciences, King’s College London, London SE1 9RT, UK; (A.K.); (A.B.C.); (S.S.)
| | - Cheng Zhang
- Science for Life Laboratory, KTH-Royal Institute of Technology, 171211 Stockholm, Sweden; (W.K.); (C.Z.); (M.U.)
| | - Mathias Uhlén
- Science for Life Laboratory, KTH-Royal Institute of Technology, 171211 Stockholm, Sweden; (W.K.); (C.Z.); (M.U.)
| | - Hasan Turkez
- Medical Biology Department, Faculty of Medicine, Atatürk University, Erzurum 25240, Türkiye;
| | - Saeed Shoaie
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral and Craniofacial Sciences, King’s College London, London SE1 9RT, UK; (A.K.); (A.B.C.); (S.S.)
- Science for Life Laboratory, KTH-Royal Institute of Technology, 171211 Stockholm, Sweden; (W.K.); (C.Z.); (M.U.)
| | - Adil Mardinoglu
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral and Craniofacial Sciences, King’s College London, London SE1 9RT, UK; (A.K.); (A.B.C.); (S.S.)
- Science for Life Laboratory, KTH-Royal Institute of Technology, 171211 Stockholm, Sweden; (W.K.); (C.Z.); (M.U.)
| |
Collapse
|
3
|
Szot JO, Cuny H, Martin EM, Sheng DZ, Iyer K, Portelli S, Nguyen V, Gereis JM, Alankarage D, Chitayat D, Chong K, Wentzensen IM, Vincent-Delormé C, Lermine A, Burkitt-Wright E, Ji W, Jeffries L, Pais LS, Tan TY, Pitt J, Wise CA, Wright H, Andrews ID, Pruniski B, Grebe TA, Corsten-Janssen N, Bouman K, Poulton C, Prakash S, Keren B, Brown NJ, Hunter MF, Heath O, Lakhani SA, McDermott JH, Ascher DB, Chapman G, Bozon K, Dunwoodie SL. A metabolic signature for NADSYN1-dependent congenital NAD deficiency disorder. J Clin Invest 2024; 134:e174824. [PMID: 38357931 PMCID: PMC10866660 DOI: 10.1172/jci174824] [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: 09/06/2023] [Accepted: 12/20/2023] [Indexed: 02/16/2024] Open
Abstract
Nicotinamide adenine dinucleotide (NAD) is essential for embryonic development. To date, biallelic loss-of-function variants in 3 genes encoding nonredundant enzymes of the NAD de novo synthesis pathway - KYNU, HAAO, and NADSYN1 - have been identified in humans with congenital malformations defined as congenital NAD deficiency disorder (CNDD). Here, we identified 13 further individuals with biallelic NADSYN1 variants predicted to be damaging, and phenotypes ranging from multiple severe malformations to the complete absence of malformation. Enzymatic assessment of variant deleteriousness in vitro revealed protein domain-specific perturbation, complemented by protein structure modeling in silico. We reproduced NADSYN1-dependent CNDD in mice and assessed various maternal NAD precursor supplementation strategies to prevent adverse pregnancy outcomes. While for Nadsyn1+/- mothers, any B3 vitamer was suitable to raise NAD, preventing embryo loss and malformation, Nadsyn1-/- mothers required supplementation with amidated NAD precursors (nicotinamide or nicotinamide mononucleotide) bypassing their metabolic block. The circulatory NAD metabolome in mice and humans before and after NAD precursor supplementation revealed a consistent metabolic signature with utility for patient identification. Our data collectively improve clinical diagnostics of NADSYN1-dependent CNDD, provide guidance for the therapeutic prevention of CNDD, and suggest an ongoing need to maintain NAD levels via amidated NAD precursor supplementation after birth.
Collapse
Affiliation(s)
- Justin O. Szot
- Victor Chang Cardiac Research Institute, Darlinghurst, Sydney, New South Wales, Australia
| | - Hartmut Cuny
- Victor Chang Cardiac Research Institute, Darlinghurst, Sydney, New South Wales, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Ella M.M.A. Martin
- Victor Chang Cardiac Research Institute, Darlinghurst, Sydney, New South Wales, Australia
| | - Delicia Z. Sheng
- Victor Chang Cardiac Research Institute, Darlinghurst, Sydney, New South Wales, Australia
| | - Kavitha Iyer
- Victor Chang Cardiac Research Institute, Darlinghurst, Sydney, New South Wales, Australia
| | - Stephanie Portelli
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Vivien Nguyen
- Victor Chang Cardiac Research Institute, Darlinghurst, Sydney, New South Wales, Australia
| | - Jessica M. Gereis
- Victor Chang Cardiac Research Institute, Darlinghurst, Sydney, New South Wales, Australia
| | - Dimuthu Alankarage
- Victor Chang Cardiac Research Institute, Darlinghurst, Sydney, New South Wales, Australia
| | - David Chitayat
- Department of Pediatrics, Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, and
- Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics and Gynecology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Karen Chong
- Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics and Gynecology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Alban Lermine
- Laboratoire de Biologie Médicale Multisites SeqOIA, FMG2025, Paris, France
| | - Emma Burkitt-Wright
- Manchester Centre for Genomic Medicine, St. Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
| | - Weizhen Ji
- Yale University School of Medicine, Pediatric Genomics Discovery Program, New Haven, Connecticut, USA
| | - Lauren Jeffries
- Yale University School of Medicine, Pediatric Genomics Discovery Program, New Haven, Connecticut, USA
| | - Lynn S. Pais
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Tiong Y. Tan
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - James Pitt
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Metabolic Laboratory, Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
| | - Cheryl A. Wise
- Department of Diagnostic Genomics, PathWest Laboratory Medicine Western Australia, Nedlands, Perth, Western Australia, Australia
| | - Helen Wright
- General Paediatric Department, Perth Children’s Hospital, Perth, Western Australia, Australia
- Rural Clinical School, University of Western Australia, Perth, Western Australia, Australia
| | | | - Brianna Pruniski
- Division of Genetics and Metabolism, Phoenix Children’s Hospital, Phoenix, Arizona, USA
| | - Theresa A. Grebe
- Division of Genetics and Metabolism, Phoenix Children’s Hospital, Phoenix, Arizona, USA
| | - Nicole Corsten-Janssen
- Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Katelijne Bouman
- Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Cathryn Poulton
- Genetic Services of Western Australia, King Edward Memorial Hospital, Perth, Western Australia, Australia
| | - Supraja Prakash
- Division of Genetics and Metabolism, Phoenix Children’s Hospital, Phoenix, Arizona, USA
| | - Boris Keren
- Département de Génétique, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique – Hôpitaux de Paris, Sorbonne Université, Paris, France
| | - Natasha J. Brown
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Matthew F. Hunter
- Monash Genetics, Monash Health, Clayton, Victoria, Australia
- Department of Paediatrics, Monash University, Clayton, Victoria, Australia
| | - Oliver Heath
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- Department of Metabolic Medicine, The Royal Children’s Hospital, Melbourne, Victoria, Australia
| | - Saquib A. Lakhani
- Yale University School of Medicine, Pediatric Genomics Discovery Program, New Haven, Connecticut, USA
| | - John H. McDermott
- Manchester Centre for Genomic Medicine, St. Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Division of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - David B. Ascher
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Gavin Chapman
- Victor Chang Cardiac Research Institute, Darlinghurst, Sydney, New South Wales, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Kayleigh Bozon
- Victor Chang Cardiac Research Institute, Darlinghurst, Sydney, New South Wales, Australia
| | - Sally L. Dunwoodie
- Victor Chang Cardiac Research Institute, Darlinghurst, Sydney, New South Wales, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, Sydney, New South Wales, Australia
- Faculty of Science, University of New South Wales, Sydney, New South Wales, Australia
| |
Collapse
|
4
|
Ghanem MS, Caffa I, Monacelli F, Nencioni A. Inhibitors of NAD + Production in Cancer Treatment: State of the Art and Perspectives. Int J Mol Sci 2024; 25:2092. [PMID: 38396769 PMCID: PMC10889166 DOI: 10.3390/ijms25042092] [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: 12/31/2023] [Revised: 01/29/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
The addiction of tumors to elevated nicotinamide adenine dinucleotide (NAD+) levels is a hallmark of cancer metabolism. Obstructing NAD+ biosynthesis in tumors is a new and promising antineoplastic strategy. Inhibitors developed against nicotinamide phosphoribosyltransferase (NAMPT), the main enzyme in NAD+ production from nicotinamide, elicited robust anticancer activity in preclinical models but not in patients, implying that other NAD+-biosynthetic pathways are also active in tumors and provide sufficient NAD+ amounts despite NAMPT obstruction. Recent studies show that NAD+ biosynthesis through the so-called "Preiss-Handler (PH) pathway", which utilizes nicotinate as a precursor, actively operates in many tumors and accounts for tumor resistance to NAMPT inhibitors. The PH pathway consists of three sequential enzymatic steps that are catalyzed by nicotinate phosphoribosyltransferase (NAPRT), nicotinamide mononucleotide adenylyltransferases (NMNATs), and NAD+ synthetase (NADSYN1). Here, we focus on these enzymes as emerging targets in cancer drug discovery, summarizing their reported inhibitors and describing their current or potential exploitation as anticancer agents. Finally, we also focus on additional NAD+-producing enzymes acting in alternative NAD+-producing routes that could also be relevant in tumors and thus become viable targets for drug discovery.
Collapse
Affiliation(s)
- Moustafa S. Ghanem
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Viale Benedetto XV 6, 16132 Genoa, Italy; (I.C.); (F.M.)
| | - Irene Caffa
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Viale Benedetto XV 6, 16132 Genoa, Italy; (I.C.); (F.M.)
- Ospedale Policlinico San Martino IRCCS, Largo Rosanna Benzi 10, 16132 Genova, Italy
| | - Fiammetta Monacelli
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Viale Benedetto XV 6, 16132 Genoa, Italy; (I.C.); (F.M.)
- Ospedale Policlinico San Martino IRCCS, Largo Rosanna Benzi 10, 16132 Genova, Italy
| | - Alessio Nencioni
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Viale Benedetto XV 6, 16132 Genoa, Italy; (I.C.); (F.M.)
- Ospedale Policlinico San Martino IRCCS, Largo Rosanna Benzi 10, 16132 Genova, Italy
| |
Collapse
|
5
|
Meijer NWF, Gerrits J, Zwakenberg S, Zwartkruis FJT, Verhoeven-Duif NM, Jans JJM. Metabolic Alterations in NADSYN1-Deficient Cells. Metabolites 2023; 13:1196. [PMID: 38132878 PMCID: PMC10745350 DOI: 10.3390/metabo13121196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/01/2023] [Accepted: 12/07/2023] [Indexed: 12/23/2023] Open
Abstract
NAD synthetase 1 (encoded by the gene NADSYN1) is a cytosolic enzyme that catalyzes the final step in the biosynthesis of nicotinamide adenine dinucleotide (NAD+) from tryptophan and nicotinic acid. NADSYN1 deficiency has recently been added to the spectrum of congenital NAD+ deficiency disorders. To gain insight into the metabolic consequences of NADSYN1 deficiency, the encoding gene was disrupted in A549 and HEK293T cells, and the metabolome was profiled in the presence of different NAD+ precursors, including tryptophan, nicotinamide and nicotinic acid. We demonstrate that when precursors of the NAD+ salvage pathway in the form of nicotinamide become limiting, NADSYN1 deficiency results in a decline in intracellular NAD+ levels even in the presence of other potential NAD+ sources such as tryptophan and nicotinic acid. As a consequence, alterations in 122 and 69 metabolites are observed in NADSYN1-deficient A549 and HEK293T cells compared to the wild-type cell line (FC > 2 and p < 0.05). We thus show that NADSYN1 deficiency results in a metabolic phenotype characterized by alterations in glycolysis, the TCA cycle, the pentose phosphate pathway, and the polyol pathway.
Collapse
Affiliation(s)
- Nils W. F. Meijer
- Department of Genetics, Section Metabolic Diagnostics, University Medical Center Utrecht, Lundlaan 6, 3584 EA Utrecht, The Netherlands; (N.W.F.M.)
| | - Johan Gerrits
- Department of Genetics, Section Metabolic Diagnostics, University Medical Center Utrecht, Lundlaan 6, 3584 EA Utrecht, The Netherlands; (N.W.F.M.)
| | - Susan Zwakenberg
- Center for Molecular Medicine, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands
| | - Fried J. T. Zwartkruis
- Center for Molecular Medicine, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands
| | - Nanda M. Verhoeven-Duif
- Department of Genetics, Section Metabolic Diagnostics, University Medical Center Utrecht, Lundlaan 6, 3584 EA Utrecht, The Netherlands; (N.W.F.M.)
| | - Judith J. M. Jans
- Department of Genetics, Section Metabolic Diagnostics, University Medical Center Utrecht, Lundlaan 6, 3584 EA Utrecht, The Netherlands; (N.W.F.M.)
| |
Collapse
|