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Lei S, Liu Y. Identifying blood mitochondrial DNA copy number as a biomarker for development of neurodegenerative diseases: Evidence from Mendelian randomization analysis. Neuroscience 2025; 573:421-429. [PMID: 40185386 DOI: 10.1016/j.neuroscience.2025.04.003] [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: 12/08/2024] [Revised: 03/20/2025] [Accepted: 04/01/2025] [Indexed: 04/07/2025]
Abstract
Mitochondrial dysfunction has been associated with neurodegenerative diseases (NDDs). This study aimed to explore the association between blood mitochondrial DNA copy number (mtDNA-CN) and development of NDDs. This study was based on two-sample Mendelian randomization (MR) analysis. The genome wide association study (GWAS) data of NDDs including Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), age-related macular degeneration (AMD), multiple sclerosis (MS), Parkinson's disease (PD), primary open-angle glaucoma (POAG), and vascular dementia (VD) was obtained from FinnGen consortium. Inverse-variance weighted (IVW) was applied as the primary approach for MR estimation. MR results revealed that blood mtDNA-CN exhibited a significant relationship with the incidence of AD (IVW-P = 0.011, odds ratio [OR] = 0.65) and AMD (IVW-P = 0.038, OR = 0.64). However, there was no significant association observed between blood mtDNA-CN and other NDDs (IVW-P > 0.05). Our findings supported the relationship between mitochondrial dysfunction and development of AD and AMD, and that blood mtDNA-CN may serve as a potential biomarker for the incidence of these two NDDs.
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Affiliation(s)
- Shizhen Lei
- Department of Ophthalmology, Wuhan No.1 Hospital, Wuhan, Hubei, China.
| | - Yani Liu
- Department of Otolaryngology & Head and Neck Surgery, Wuhan No.1 Hospital, Wuhan, Hubei, China
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2
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Kandemirli SG, Al-Dasuqi K, Aslan B, Goldstein A, Alves CAPF. Overview of neuroimaging in primary mitochondrial disorders. Pediatr Radiol 2025; 55:765-791. [PMID: 39937244 DOI: 10.1007/s00247-025-06172-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 01/10/2025] [Accepted: 01/13/2025] [Indexed: 02/13/2025]
Abstract
Advancements in understanding the clinical, biochemical, and genetic aspects of primary mitochondrial disorders, along with the identification of a broad range of phenotypes frequently involving the central nervous system, have opened a new and crucial area in neuroimaging. This expanding knowledge presents significant challenges for radiologists in clinical settings, as the neuroimaging features and their associated metabolic abnormalities become more complex. This review offers a comprehensive overview of the key neuroimaging features associated with the common primary mitochondrial disorders. It highlights both the classical imaging findings and the emerging diagnostic insights related to several previously identified causative genes for these diseases. The review also provides an in-depth description of the clinicoradiologic presentations and potential underlying mitochondrial defects, aiming to enhance diagnostic abilities of radiologists in identifying primary mitochondrial diseases in their clinical practice.
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Affiliation(s)
- Sedat Giray Kandemirli
- Duke University Hospital, 2301 Erwin Rd, Durham, NC, 27710, USA.
- Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.
| | - Khalid Al-Dasuqi
- Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA
- Sidra Medical and Research Center, Doha, Qatar
| | - Bulent Aslan
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Amy Goldstein
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
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3
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Li H, Feng F, Xie S, Ma Y, Wang Y, Zhang F, Wu H, Huang S. Identification of HIBCH and MGME1 as Mitochondrial Dynamics-Related Biomarkers in Alzheimer's Disease Via Integrated Bioinformatics Analysis. IET Syst Biol 2025; 19:e70018. [PMID: 40286336 PMCID: PMC12033025 DOI: 10.1049/syb2.70018] [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: 01/20/2025] [Revised: 03/25/2025] [Accepted: 04/10/2025] [Indexed: 04/29/2025] Open
Abstract
Mitochondrial dynamics (MD) play a crucial role in the genesis of Alzheimer's disease (AD); however, the molecular mechanisms underlying MD dysregulation in AD remain unclear. This study aimed to identify critical molecules of MD that contribute to AD progression using GEO data and bioinformatics approaches. The GSE63061 dataset comparing AD patients with healthy controls was analysed, WGCNA was employed to identify co-expression modules and differentially expressed genes (DEGs) and LASSO model was developed and verified using the DEGs to screen for potential biomarkers. A PPI network was built to predict upstream miRNAs, which were experimentally validated using luciferase reporter assays. A total of 3518 DEGs were identified (2209 upregulated, 1309 downregulated; |log2FC| > 1.5, adjusted p < 0.05). WGCNA revealed 160 MD-related genes. LASSO regression selected HIBCH and MGME1 as novel biomarkers with significant downregulation in AD (fold change > 2, p < 0.001). KEGG enrichment analysis highlighted pathways associated with neurodegeneration. Luciferase assays confirmed direct binding of miR-922 to the 3'UTR of MGME1. HIBCH and MGME1 are promising diagnostic biomarkers for AD with AUC values of 0.73 and 0.74. Mechanistically, miR-922 was experimentally validated to directly bind MGME1 3'UTR.
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Affiliation(s)
- Hailong Li
- Department of General PracticeLuohu Clinical CollegeSchool of MedicineShantou UniversityShenzhenChina
- Department of GeriatricsAffiliated Hospital of Gansu University of Traditional Chinese MedicineLanzhouChina
| | - Fei Feng
- Sleep Medicine WardShenzhen Kangning HospitalShenzhenChina
| | - Shoupin Xie
- Department of NeurologyLanzhou First People's HospitalLanzhouChina
| | - Yanping Ma
- Department of GeriatricsAffiliated Hospital of Gansu University of Traditional Chinese MedicineLanzhouChina
| | - Yafeng Wang
- Department of GeriatricsAffiliated Hospital of Gansu University of Traditional Chinese MedicineLanzhouChina
| | - Fan Zhang
- Department of GeriatricsAffiliated Hospital of Gansu University of Traditional Chinese MedicineLanzhouChina
| | - Hongyan Wu
- Department of GeriatricsLuohu District Hospital of Traditional Chinese MedicineShenzhenChina
| | - Shenghui Huang
- Department of Mental Health and Sleep CenterGansu Provincial Hospital of Traditional Chinese MedicineLanzhouChina
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4
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Heath O, Feichtinger RG, Achleitner MT, Hofbauer P, Mayr D, Merkevicius K, Spenger J, Steinbrücker K, Steindl C, Tiefenthaler E, Mayr JA, Wortmann SB. Mitochondrial disorder diagnosis and management- what the pediatric neurologist wants to know. Eur J Paediatr Neurol 2025; 54:75-88. [PMID: 39793294 DOI: 10.1016/j.ejpn.2024.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 09/30/2024] [Accepted: 10/21/2024] [Indexed: 01/13/2025]
Abstract
Childhood-onset mitochondrial disorders are rare genetic diseases that often manifest with neurological impairment due to altered mitochondrial structure or function. To date, pathogenic variants in 373 genes across the nuclear and mitochondrial genomes have been linked to mitochondrial disease, but the ensuing genetic and clinical complexity of these disorders poses considerable challenges to their diagnosis and management. Nevertheless, despite the current lack of curative treatment, recent advances in next generation sequencing and -omics technologies have laid the foundation for precision mitochondrial medicine through enhanced diagnostic accuracy and greater insight into pathomechanisms. This holds promise for the development of targeted treatments in this group of patients. Against a backdrop of inherent challenges and recent technological advances in mitochondrial medicine, this review discusses the current diagnostic approach to a child with suspected mitochondrial disease and outlines management considerations of particular relevance to paediatric neurologists. We highlight the importance of mitochondrial expertise centres in providing the laboratory infrastructure needed to supplement uninformative first line genomic testing with focused and/or further unbiased investigations where needed, as well as coordinating an integrated multidisciplinary model of care that is paramount to the management of patients affected by these conditions.
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Affiliation(s)
- Oliver Heath
- University Children's Hospital, Paracelsus Medical University (PMU), Salzburg, Austria
| | - René G Feichtinger
- University Children's Hospital, Paracelsus Medical University (PMU), Salzburg, Austria
| | - Melanie T Achleitner
- University Children's Hospital, Paracelsus Medical University (PMU), Salzburg, Austria
| | - Peter Hofbauer
- Department of Production, Landesapotheke Salzburg, Hospital Pharmacy, Salzburg, Austria
| | - Doris Mayr
- University Children's Hospital, Paracelsus Medical University (PMU), Salzburg, Austria
| | - Kajus Merkevicius
- University Children's Hospital, Paracelsus Medical University (PMU), Salzburg, Austria; Clinic of Paediatrics, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania; Institute of Biosciences, Life Sciences Centre, Vilnius University, Vilnius, Lithuania
| | - Johannes Spenger
- University Children's Hospital, Paracelsus Medical University (PMU), Salzburg, Austria
| | - Katja Steinbrücker
- University Children's Hospital, Paracelsus Medical University (PMU), Salzburg, Austria
| | - Carina Steindl
- Institut für Klinische Psychologie der UK für Psychiatrie, Psychotherapie und Psychosomatik der PMU, Salzburg, Austria
| | - Elke Tiefenthaler
- University Children's Hospital, Paracelsus Medical University (PMU), Salzburg, Austria
| | - Johannes A Mayr
- University Children's Hospital, Paracelsus Medical University (PMU), Salzburg, Austria
| | - Saskia B Wortmann
- University Children's Hospital, Paracelsus Medical University (PMU), Salzburg, Austria; Amalia Children's Hospital, Department of Paediatrics, Radboudumc, Nijmegen, the Netherlands.
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Yao C, Li Z, Sun K, Zhang Y, Shou S, Jin H. Mitochondrial dysfunction in acute kidney injury. Ren Fail 2024; 46:2393262. [PMID: 39192578 PMCID: PMC11360640 DOI: 10.1080/0886022x.2024.2393262] [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: 06/13/2024] [Revised: 07/30/2024] [Accepted: 08/12/2024] [Indexed: 08/29/2024] Open
Abstract
Acute kidney injury (AKI) is a systemic clinical syndrome increasing morbidity and mortality worldwide in recent years. Renal tubular epithelial cells (TECs) death caused by mitochondrial dysfunction is one of the pathogeneses. The imbalance of mitochondrial quality control is the main cause of mitochondrial dysfunction. Mitochondrial quality control plays a crucial role in AKI. Mitochondrial quality control mechanisms are involved in regulating mitochondrial integrity and function, including antioxidant defense, mitochondrial quality control, mitochondrial DNA (mtDNA) repair, mitochondrial dynamics, mitophagy, and mitochondrial biogenesis. Currently, many studies have used mitochondrial dysfunction as a targeted therapeutic strategy for AKI. Therefore, this review aims to present the latest research advancements on mitochondrial dysfunction in AKI, providing a valuable reference and theoretical foundation for clinical prevention and treatment of this condition, ultimately enhancing patient prognosis.
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Affiliation(s)
- Congcong Yao
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Ziwei Li
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Keke Sun
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Yan Zhang
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Songtao Shou
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Heng Jin
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
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Liu Y, Cai L, Wang H, Yao L, Zhang K, Chen G, Zhou Y. Novel mitochondrial-related gene signature predicts prognosis and immunological status in glioma. Transl Cancer Res 2024; 13:3338-3353. [PMID: 39145059 PMCID: PMC11319993 DOI: 10.21037/tcr-23-2072] [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] [Received: 11/09/2023] [Accepted: 06/04/2024] [Indexed: 08/16/2024]
Abstract
Background Mitochondria are the center of cellular metabolism. The relationship between mitochondria and diseases has also been studied for a long time. However, the prognostic role of mitochondrial-related genes (MRGs) in patients with glioma and their biological effects are still unclear. The aim of the study was to construct a mitochondria-related model to assess prognosis and potential biological effects like immune infiltration, gene pathway and mutation, and give some predictive chemotherapeutic agents. Methods The data of 675 patients from The Cancer Genome Atlas (TCGA) database were used to identify MRG signature and construct a prognostic model. After validating its robustness in Chinese Glioma Genome Atlas (CGGA), two risk groups derived from the prognostic model were then conducted with Gene Set Enrichment Analysis (GSEA), immune status, mutation status and chemotherapeutic agents prediction. Results The prognostic model built from six gene signatures can successfully predict the prognosis and reflect clinicopathological characteristics. Patients in high-risk group displayed significantly worse overall survival (OS), immunosuppression effects, and mutation markers with worse prognosis. Twelve chemotherapeutic agents with strongly correlated sensitivity and risk scores were selected as potential agents. Conclusions The novel MRG signatures (TYMP, TSFM, MGME1, BOLA3, TRMT5, NDUFA9) can predict prognosis and immunological status in glioma.
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Affiliation(s)
- Yongsheng Liu
- Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Lize Cai
- Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Hao Wang
- Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Lin Yao
- Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Kai Zhang
- Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Guangliang Chen
- Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Youxin Zhou
- Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, China
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7
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Manzoni E, Carli S, Gaignard P, Schlieben LD, Hirano M, Ronchi D, Gonzales E, Shimura M, Murayama K, Okazaki Y, Barić I, Petkovic Ramadza D, Karall D, Mayr J, Martinelli D, La Morgia C, Primiano G, Santer R, Servidei S, Bris C, Cano A, Furlan F, Gasperini S, Laborde N, Lamperti C, Lenz D, Mancuso M, Montano V, Menni F, Musumeci O, Nesbitt V, Procopio E, Rouzier C, Staufner C, Taanman JW, Tal G, Ticci C, Cordelli DM, Carelli V, Procaccio V, Prokisch H, Garone C. Deoxyguanosine kinase deficiency: natural history and liver transplant outcome. Brain Commun 2024; 6:fcae160. [PMID: 38756539 PMCID: PMC11098040 DOI: 10.1093/braincomms/fcae160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 03/25/2024] [Accepted: 05/03/2024] [Indexed: 05/18/2024] Open
Abstract
Autosomal recessive pathogenetic variants in the DGUOK gene cause deficiency of deoxyguanosine kinase activity and mitochondrial deoxynucleotides pool imbalance, consequently, leading to quantitative and/or qualitative impairment of mitochondrial DNA synthesis. Typically, patients present early-onset liver failure with or without neurological involvement and a clinical course rapidly progressing to death. This is an international multicentre study aiming to provide a retrospective natural history of deoxyguanosine kinase deficient patients. A systematic literature review from January 2001 to June 2023 was conducted. Physicians of research centres or clinicians all around the world caring for previously reported patients were contacted to provide followup information or additional clinical, biochemical, histological/histochemical, and molecular genetics data for unreported cases with a confirmed molecular diagnosis of deoxyguanosine kinase deficiency. A cohort of 202 genetically confirmed patients, 36 unreported, and 166 from a systematic literature review, were analyzed. Patients had a neonatal onset (≤ 1 month) in 55.7% of cases, infantile (>1 month and ≤ 1 year) in 32.3%, pediatric (>1 year and ≤18 years) in 2.5% and adult (>18 years) in 9.5%. Kaplan-Meier analysis showed statistically different survival rates (P < 0.0001) among the four age groups with the highest mortality for neonatal onset. Based on the clinical phenotype, we defined four different clinical subtypes: hepatocerebral (58.8%), isolated hepatopathy (21.9%), hepatomyoencephalopathy (9.6%), and isolated myopathy (9.6%). Muscle involvement was predominant in adult-onset cases whereas liver dysfunction causes morbidity and mortality in early-onset patients with a median survival of less than 1 year. No genotype-phenotype correlation was identified. Liver transplant significantly modified the survival rate in 26 treated patients when compared with untreated. Only six patients had additional mild neurological signs after liver transplant. In conclusion, deoxyguanosine kinase deficiency is a disease spectrum with a prevalent liver and brain tissue specificity in neonatal and infantile-onset patients and muscle tissue specificity in adult-onset cases. Our study provides clinical, molecular genetics and biochemical data for early diagnosis, clinical trial planning and immediate intervention with liver transplant and/or nucleoside supplementation.
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Affiliation(s)
- Eleonora Manzoni
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna 40138, Italy
- IRCCS Istituto delle Scienze Neurologiche, UO Neuropsichiatria dell’età Pediatrica di Bologna, Bologna 40124, Italy
| | - Sara Carli
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna 40138, Italy
| | - Pauline Gaignard
- Department of Biochemistry, Bicêtre Hospital, Reference Center for Mitochondrial Disease, University of Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Paris 94275, France
| | - Lea Dewi Schlieben
- School of Medicine, Institute of Human Genetics, Technical University of Munich, Munich, 80333 Germany
- Institute of Neurogenomics, Computational Health Center, Helmholtz Zentrum München, Neuherberg 80333, Germany
| | - Michio Hirano
- H. Houston Merritt Neuromuscular Research Center, Department of Neurology, Columbia University Irving Medical Center, New York, NY 10033, USA
| | - Dario Ronchi
- Dino Ferrari Center, Department of Pathophysiology and Transplantation, University of Milan, Milan 20122, Italy
| | - Emmanuel Gonzales
- Pediatric Hepatology and Pediatric Liver Transplantation Unit, Bicêtre Hospital, Reference Center for Mitochondrial Disease, University of Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Paris 94270, France
| | - Masaru Shimura
- Center for Medical Genetics, Department of Metabolism, Chiba Children’s Hospital, Chiba 260-0842, Japan
| | - Kei Murayama
- Center for Medical Genetics, Department of Metabolism, Chiba Children’s Hospital, Chiba 260-0842, Japan
- Diagnostics and Therapeutic of Intractable Diseases, Intractable Disease Research Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Yasushi Okazaki
- Diagnostics and Therapeutic of Intractable Diseases, Intractable Disease Research Center, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
| | - Ivo Barić
- Department of Pediatrics, University Hospital Centre Zagreb and University of Zagreb, School of Medicine, Zagreb 10000, Croatia
| | - Danijela Petkovic Ramadza
- Department of Pediatrics, University Hospital Centre Zagreb and University of Zagreb, School of Medicine, Zagreb 10000, Croatia
| | - Daniela Karall
- Clinic for Pediatrics, Division of Inherited Metabolic Disorders, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Johannes Mayr
- University Children’s Hospital, Paracelsus Medical University (PMU), 5020 Salzburg, Austria
| | - Diego Martinelli
- Division of Metabolism, Bambino Gesù Children’s Hospital IRCCS, Rome 00165, Italy
| | - Chiara La Morgia
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna 40123, Italy
- IRCCS Istituto di Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna 40124, Italy
| | - Guido Primiano
- Dipartimento di Neuroscienze, Organi di Senso e Torace -Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome 00136, Italy
- Dipartimento Di Neuroscienze, Università Cattolica del Sacro Cuore, Rome 00168, Italy
| | - René Santer
- Department of Pediatrics, University Medical Center Eppendorf, Hamburg 20246, Germany
| | - Serenella Servidei
- Dipartimento di Neuroscienze, Organi di Senso e Torace -Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome 00136, Italy
- Dipartimento Di Neuroscienze, Università Cattolica del Sacro Cuore, Rome 00168, Italy
| | - Céline Bris
- University Angers, Angers Hospital, INSERM, CNRS, MITOVASC, SFR ICAT, Angers F-49000, France
| | - Aline Cano
- Centre de référence des maladies héréditaires du métabolisme, CHU la Timone Enfants, Marseille 13005, France
| | - Francesca Furlan
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Regional Clinical Center for Expanded Newborn Screening, Milan 20122, Italy
| | - Serena Gasperini
- Department of Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
| | - Nolwenn Laborde
- Unité de Gastroentérologie, Hépatologie, Nutrition et Maladies Héréditaires du Métabolisme, Hôpital des Enfants, CHU de Toulouse, Toulouse 31300, France
| | - Costanza Lamperti
- Division of Medical Genetics and Neurogenetics, Fondazione IRCCS Neurological Institute ‘C. Besta’, Milan 20133, Italy
| | - Dominic Lenz
- Division of Neuropaediatrics and Paediatric Metabolic Medicine, Center for Paediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg 69120, Germany
| | - Michelangelo Mancuso
- Department of Clinical and Experimental Medicine, Neurological Institute, University of Pisa & AOUP, Pisa 56126, Italy
| | - Vincenzo Montano
- Department of Clinical and Experimental Medicine, Neurological Institute, University of Pisa & AOUP, Pisa 56126, Italy
| | - Francesca Menni
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Regional Clinical Center for Expanded Newborn Screening, Milan 20122, Italy
| | - Olimpia Musumeci
- Unit of Neurology and Neuromuscular Disorders, Department of Clinical and Experimental Medicine, University of Messina, Messina 98125, Italy
| | - Victoria Nesbitt
- Department of Paediatrics, Medical Sciences Division, Oxford University, Oxford OX3 9DU, UK
| | - Elena Procopio
- Metabolic Unit, Meyer Children’s Hospital IRCCS, Florence 50139, Italy
| | - Cécile Rouzier
- Centre de référence des Maladies Mitochondriales, Service de Génétique Médicale, CHU de Nice, Université Côte d’Azur, CNRS, INSERM, IRCAN, Nice 06000, France
| | - Christian Staufner
- Division of Neuropaediatrics and Paediatric Metabolic Medicine, Center for Paediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg 69120, Germany
| | - Jan-Willem Taanman
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Galit Tal
- Metabolic Clinic, Ruth Rappaport Children's Hospital, Rambam Health Care Campus, Haifa 3109601, Israel
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 3109601, Israel
| | - Chiara Ticci
- Metabolic Unit, Meyer Children’s Hospital IRCCS, Florence 50139, Italy
| | - Duccio Maria Cordelli
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna 40138, Italy
- IRCCS Istituto delle Scienze Neurologiche, UO Neuropsichiatria dell’età Pediatrica di Bologna, Bologna 40124, Italy
| | - Valerio Carelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna 40123, Italy
- IRCCS Istituto di Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna 40124, Italy
| | - Vincent Procaccio
- University Angers, Angers Hospital, INSERM, CNRS, MITOVASC, SFR ICAT, Angers F-49000, France
| | - Holger Prokisch
- School of Medicine, Institute of Human Genetics, Technical University of Munich, Munich, 80333 Germany
- Institute of Neurogenomics, Computational Health Center, Helmholtz Zentrum München, Neuherberg 80333, Germany
| | - Caterina Garone
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna 40138, Italy
- IRCCS Istituto delle Scienze Neurologiche, UO Neuropsichiatria dell’età Pediatrica di Bologna, Bologna 40124, Italy
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8
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Cai X, Liang C, Zhang M, Dong Z, Weng Y, Yu W. Mitochondrial DNA copy number and cancer risks: A comprehensive Mendelian randomization analysis. Int J Cancer 2024; 154:1504-1513. [PMID: 38151753 DOI: 10.1002/ijc.34833] [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: 09/01/2023] [Revised: 11/27/2023] [Accepted: 12/11/2023] [Indexed: 12/29/2023]
Abstract
Mitochondrial DNA plays a critical role in the pathophysiology of cancer. However, the associations between mitochondrial DNA copy number (mtDNA-CN) and cancer risk are controversial. Mendelian randomization (MR) analyses were performed using three independent instrumental variables (IVs) to explore potential associations between mtDNA-CN and 20 types of cancer. The three sets of IVs were primarily obtained from participants in the UK Biobank and the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium using different methods. The outcome data of cancers were investigated using summary statistics from the FinnGen cohort. The potential causal associations were evaluated using the MR-Egger regression, weighted median, inverse-variance weighted (IVW), and weighted mode methods. The robustness of IVW estimates was validated using leave-one-out sensitivity analysis. Additionally, a meta-analysis was conducted to pool results from three sets of IVs. The results revealed that genetically predicted mtDNA-CN was not associated with cancer risk (odds ratio = 1.02; 95% confidence interval: 0.95-1.10). Subgroup analyses indicated no causal association between mtDNA-CN and breast, lung, prostate, skin, colorectal, gastric, liver, cervical uteri, esophageal, thyroid, bladder, pancreas, kidney, corpus uteri, ovary, brain, larynx, and anus cancers. It was observed that mtDNA-CN was associated with lip, oral cavity, and testis cancers. However, these results should be interpreted with caution because a small number of patients with lip and oral cavity or testis cancers were included. The comprehensive MR analysis demonstrated that mtDNA-CN is not a suitable biomarker for tumor risk assessment.
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Affiliation(s)
- Xianlei Cai
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Zhejiang, China
| | - Chao Liang
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Zhejiang, China
| | - Miaozun Zhang
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Zhejiang, China
| | - Zhebin Dong
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Zhejiang, China
| | - Yihui Weng
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Zhejiang, China
| | - Weiming Yu
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Zhejiang, China
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9
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Cai X, Li X, Liang C, Zhang M, Xu Y, Dong Z, Weng Y, Yu W. Mitochondrial DNA copy number is associated with Crohn's disease: a comprehensive Mendelian randomization analysis. Sci Rep 2023; 13:21016. [PMID: 38030696 PMCID: PMC10687096 DOI: 10.1038/s41598-023-48175-5] [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: 06/22/2023] [Accepted: 11/23/2023] [Indexed: 12/01/2023] Open
Abstract
Mitochondrial DNA plays a critical role in the pathophysiological process of inflammation. However, the relationship between mitochondrial DNA copy number (mtDNA-CN) and inflammatory bowel diseases (IBD) remains poorly understood. We conducted a comprehensive Mendelian randomization (MR) using three instrumental variables (IVs) to explore the causal associations between mtDNA-CN and IBD, including Crohn's disease (CD), ulcerative colitis (UC). MR-Egger regression, weighted median, inverse-variance weighted (IVW), and weighted mode methods were used to evaluate the potential causal associations. The robustness of the IVW estimates was determined using the leave-one-out sensitivity test. A meta-analysis was conducted to pool the results from the three sets of IVs. Upon analysis, the findings of the current study revealed that genetically predicted mtDNA-CN was not associated with IBD (CD + UC) and UC. The results of MR analyses between mtDNA-CN and CD risk were inconsistent by using three sets of IVs. After a meta-analysis, we found that genetically predicted mtDNA-CN was associated with CD risk (odds ratio = 2.09; 95% confidence interval: 1.37-3.18). This finding was also confirmed by multivariable MR analyses and remained robust when tested with the leave-one-out sensitivity test. In conclusion, genetically predicted mtDNA-CN was found to be associated with CD risk. Therefore, mtDNA levels in the blood could potentially be used as a marker for CD risk assessment. Further studies are needed to elucidate the underlying mechanisms and validate the results of this study.
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Affiliation(s)
- Xianlei Cai
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Ningbo, 315000, Zhejiang, China
| | - Xueying Li
- Department of Gastroenterology, The First Affiliated Hospital, Ningbo University, Ningbo, 315000, Zhejiang, China
| | - Chao Liang
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Ningbo, 315000, Zhejiang, China
| | - Miaozun Zhang
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Ningbo, 315000, Zhejiang, China
| | - Yuan Xu
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Ningbo, 315000, Zhejiang, China
| | - Zhebin Dong
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Ningbo, 315000, Zhejiang, China
| | - Yihui Weng
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Ningbo, 315000, Zhejiang, China
| | - Weiming Yu
- Department of Gastrointestinal Surgery, The Lihuili Affiliated Hospital, Ningbo University (Ningbo Medical Center Lihuili Hospital), Ningbo, 315000, Zhejiang, China.
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Wu H, Zhang W, Xu F, Peng K, Liu X, Ding W, Ma Q, Cheng H, Wang X. C17orf80 binds the mitochondrial genome to promote its replication. J Cell Biol 2023; 222:e202302037. [PMID: 37676315 PMCID: PMC10484793 DOI: 10.1083/jcb.202302037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 06/26/2023] [Accepted: 07/17/2023] [Indexed: 09/08/2023] Open
Abstract
Serving as the power plant and signaling hub of a cell, mitochondria contain their own genome which encodes proteins essential for energy metabolism and forms DNA-protein assemblies called nucleoids. Mitochondrial DNA (mtDNA) exists in multiple copies within each cell ranging from hundreds to tens of thousands. Maintaining mtDNA homeostasis is vital for healthy cells, and its dysregulation causes multiple human diseases. However, the players involved in regulating mtDNA maintenance are largely unknown though the core components of its replication machinery have been characterized. Here, we identify C17orf80, a functionally uncharacterized protein, as a critical player in maintaining mtDNA homeostasis. C17orf80 primarily localizes to mitochondrial nucleoid foci and exhibits robust double-stranded DNA binding activity throughout the mitochondrial genome, thus constituting a bona fide new mitochondrial nucleoid protein. It controls mtDNA levels by promoting mtDNA replication and plays important roles in mitochondrial metabolism and cell proliferation. Our findings provide a potential target for therapeutics of human diseases associated with defective mtDNA control.
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Affiliation(s)
- Hao Wu
- State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking-Tsinghua Center for Life Sciences, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
- Academy of Advanced Interdisciplinary Study, Peking University, Beijing, China
| | - Wenshuo Zhang
- Peking-Tsinghua Center for Life Sciences, College of Life Sciences, Peking University, Beijing, China
| | - Fengli Xu
- State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking-Tsinghua Center for Life Sciences, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Kun Peng
- State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking-Tsinghua Center for Life Sciences, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Xiaoyu Liu
- State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking-Tsinghua Center for Life Sciences, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Wanqiu Ding
- State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking-Tsinghua Center for Life Sciences, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Qi Ma
- State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking-Tsinghua Center for Life Sciences, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Heping Cheng
- State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking-Tsinghua Center for Life Sciences, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
- Research Unit of Mitochondria in Brain Diseases, Chinese Academy of Medical Sciences, PKU-Nanjing Institute of Translational Medicine, Nanjing, China
| | - Xianhua Wang
- State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking-Tsinghua Center for Life Sciences, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
- Research Unit of Mitochondria in Brain Diseases, Chinese Academy of Medical Sciences, PKU-Nanjing Institute of Translational Medicine, Nanjing, China
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