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Hofstra BM, Hoeksema EE, Kas MJH, Verbeek DS. Cross-species analysis uncovers the mitochondrial stress response in the hippocampus as a shared mechanism in mouse early life stress and human depression. Neurobiol Stress 2024; 31:100643. [PMID: 38800537 PMCID: PMC11127276 DOI: 10.1016/j.ynstr.2024.100643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 05/03/2024] [Accepted: 05/13/2024] [Indexed: 05/29/2024] Open
Abstract
Depression, or major depressive disorder, poses a significant burden for both individuals and society, affecting approximately 10.8% of the general population. This psychiatric disorder leads to approximately 800,000 deaths per year. A combination of genetic and environmental factors such as early life stress (ELS) increase the risk for development of depression in humans, and a clear role for the hippocampus in the pathophysiology of depression has been shown. Nevertheless, the underlying mechanisms of depression remain poorly understood, resulting in a lack of effective treatments. To better understand the core mechanisms underlying the development of depression, we used a cross-species design to investigate shared hippocampal pathophysiological mechanisms in mouse ELS and human depression. Mice were subjected to ELS by a maternal separation paradigm, followed by RNA sequencing analysis of the adult hippocampal tissue. This identified persistent transcriptional changes linked to mitochondrial stress response pathways, with oxidative phosphorylation and protein folding emerging as the main mechanisms affected by maternal separation. Remarkably, there was a significant overlap between the pathways involved in mitochondrial stress response we observed and publicly available RNAseq data from hippocampal tissue of depressive patients. This cross-species conservation of changes in gene expression of mitochondria-related genes suggests that mitochondrial stress may play a pivotal role in the development of depression. Our findings highlight the potential significance of the hippocampal mitochondrial stress response as a core mechanism underlying the development of depression. Further experimental investigations are required to expand our understanding of these mechanisms.
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Affiliation(s)
- Bente M. Hofstra
- Department of Genetics, University of Groningen, University Medical Center Groningen, the Netherlands
- Department of Behavioural Neuroscience, Groningen Institute for Evolutionary Life Sciences, University of Groningen, the Netherlands
| | - Emmy E. Hoeksema
- Department of Behavioural Neuroscience, Groningen Institute for Evolutionary Life Sciences, University of Groningen, the Netherlands
| | - Martien JH. Kas
- Department of Behavioural Neuroscience, Groningen Institute for Evolutionary Life Sciences, University of Groningen, the Netherlands
| | - Dineke S. Verbeek
- Department of Genetics, University of Groningen, University Medical Center Groningen, the Netherlands
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Yang JH, Liu WZ, Sun Y, Zhao QK, Zhang XT, Xia ZL, Au W, Sun P. An exploration of biomarkers for noise exposure: mitochondrial DNA copy number and micronucleus frequencies in Chinese workers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:2430-2440. [PMID: 37669754 DOI: 10.1080/09603123.2023.2253739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 08/26/2023] [Indexed: 09/07/2023]
Abstract
Few studies have been conducted that use biomarkers as early warning signals for noise-associated health hazards. To explore potentially effective biomarkers for noise-exposed populations, we recruited 218 noise-exposed male workers in China. We calculated cumulative noise exposure (CNE) through noise intensity and noise-exposed duration. When the model was fully adjusted, ln-transformed relative mitochondrial DNA copy number (mtDNAcn) decreased by 0.014 (95% confidence interval (CI): -0.026, -0.003) units with each 1 dB(A)∙year increase in CNE levels. CNE was further included in the model as a grouping variable, and the results showed a negative dose-effect relationship between relative mtDNAcn and CNE (P-trend = 0.045). However, we did not find a correlation between CNE and micronucleus (MN) frequencies. Our findings suggest that CNE in workers was associated with a decrease in relative mtDNAcn which may provide a potential biomarker for noise and for certain health risk but not with MN frequencies.
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Affiliation(s)
- Jia-Hao Yang
- Department of Occupational Health & Toxicology, School of Public Health, Fudan University, Shanghai, China
| | - Wu-Zhong Liu
- Occupational Health, Shanghai Institute of Occupational Disease for Chemical Industry (Shanghai Institute of Occupational Safety & Health), Shanghai, China
| | - Yuan Sun
- Occupational Health, Shanghai Institute of Occupational Disease for Chemical Industry (Shanghai Institute of Occupational Safety & Health), Shanghai, China
| | - Qian-Kui Zhao
- Occupational Health, Shanghai Institute of Occupational Disease for Chemical Industry (Shanghai Institute of Occupational Safety & Health), Shanghai, China
| | - Xue-Tao Zhang
- Occupational Health, Shanghai Institute of Occupational Disease for Chemical Industry (Shanghai Institute of Occupational Safety & Health), Shanghai, China
| | - Zhao-Lin Xia
- Department of Occupational Health & Toxicology, School of Public Health, Fudan University, Shanghai, China
| | - William Au
- Pharmacy, Science and Technology, University of Medicine, Targu Mures, Romania
- Occupational Health, University of Texas Medical Branch, Galveston, TX, USA
| | - Pin Sun
- Department of Occupational Health & Toxicology, School of Public Health, Fudan University, Shanghai, China
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3
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Jiang Y, Cheng S, Shi Y, Xu Z, Wang H, Li Y, Liu Y, Li Z, Jiang Y, Meng X, Cheng S, Li H, Wang C, Wang Y. Subtype-Specific Association of Mitochondrial DNA Copy Number With Poststroke/TIA Outcomes in 10 241 Patients in China. Stroke 2024; 55:1261-1270. [PMID: 38511332 DOI: 10.1161/strokeaha.123.045069] [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: 09/03/2023] [Accepted: 02/12/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Mitochondrial DNA copy number (mtDNA-CN) is associated with the severity and mortality in patients with stroke, but the associations in different stroke subtypes remain unexplored. METHODS We conducted an observational prospective cohort analysis on patients with ischemic stroke or transient ischemic attack enrolled in the Third China National Stroke Registry. We applied logistic models to assess the association of mtDNA-CN with functional outcome (modified Rankin Scale score, 3-6 versus 0-2) and Cox proportional hazard models to assess the association with stroke recurrence (treating mortality as a competing risk) and mortality during a 12-month follow-up, adjusting for sex, age, physical activity, National Institutes of Health Stroke Scale at admission, history of stroke and peripheral artery disease, small artery occlusion, and interleukin-6. Subgroup analyses stratified by age and stroke subtypes were conducted. RESULTS The Third China National Stroke Registry enrolled 15 166 patients, of which 10 241 with whole-genome sequencing data were retained (mean age, 62.2 [SD, 11.2] years; 68.8% men). The associations between mtDNA-CN and poststroke/transient ischemic attack outcomes were specific to patients aged ≤65 years, with lower mtDNA-CN significantly associated with stroke recurrence in 12 months (subdistribution hazard ratio, 1.15 per SD lower mtDNA-CN [95% CI, 1.04-1.27]; P=5.2×10-3) and higher all-cause mortality in 3 months (hazard ratio, 2.19 [95% CI, 1.41-3.39]; P=5.0×10-4). Across subtypes, the associations of mtDNA-CN with stroke recurrence were specific to stroke of undetermined cause (subdistribution hazard ratio, 1.28 [95% CI, 1.11-1.48]; P=6.6×10-4). In particular, lower mtDNA-CN was associated with poorer functional outcomes in stroke of undetermined cause patients diagnosed with embolic stroke of undetermined source (odds ratio, 1.53 [95% CI, 1.20-1.94]; P=5.4×10-4), which remained significant after excluding patients with recurrent stroke (odds ratio, 1.49 [95% CI, 1.14-1.94]; P=3.0×10-3). CONCLUSIONS Lower mtDNA-CN is associated with higher stroke recurrence rate and all-cause mortality, as well as poorer functional outcome at follow-up, among stroke of undetermined cause, embolic stroke of undetermined source, and younger patients.
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Affiliation(s)
- Yi Jiang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Yi Jiang, H.W., Shanshan Cheng, C.W.)
| | - Si Cheng
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
- Changping Laboratory, Beijing, China (Si Cheng, Yong Jiang, Y.W.)
- Clinical Center for Precision Medicine in Stroke (Si Cheng, Y.W.), Capital Medical University, Beijing, China
| | - Yanfeng Shi
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Zhe Xu
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Huihui Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Yi Jiang, H.W., Shanshan Cheng, C.W.)
| | - Yanran Li
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Yang Liu
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Zixiao Li
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Yong Jiang
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
- Changping Laboratory, Beijing, China (Si Cheng, Yong Jiang, Y.W.)
| | - Xia Meng
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Shanshan Cheng
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Yi Jiang, H.W., Shanshan Cheng, C.W.)
| | - Hao Li
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
| | - Chaolong Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Yi Jiang, H.W., Shanshan Cheng, C.W.)
| | - Yongjun Wang
- Department of Neurology (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- Center of Excellence for Omics Research (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, H.L., Y.W.), Beijing Tiantan Hospital, Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (Si Cheng, Y.S., Z.X., Y. Li, Y. Liu, Z.L., Yong Jiang, X.M., H.L., Y.W.)
- Changping Laboratory, Beijing, China (Si Cheng, Yong Jiang, Y.W.)
- Clinical Center for Precision Medicine in Stroke (Si Cheng, Y.W.), Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection (Y.W.), Capital Medical University, Beijing, China
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Reddam A, Bloomquist TR, Covell LT, Hu H, Oberfield SE, Gallagher D, Miller RL, Goldsmith J, Rundle AG, Baccarelli AA, Herbstman JB, Kupsco A. Inverse associations of cord blood mitochondrial DNA copy number with childhood adiposity. Obesity (Silver Spring) 2024; 32:989-998. [PMID: 38454311 DOI: 10.1002/oby.24005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 12/23/2023] [Accepted: 01/03/2024] [Indexed: 03/09/2024]
Abstract
OBJECTIVE The objective of this study was to examine associations between umbilical cord mitochondrial DNA copy number (mtDNAcn) and adiposity across childhood. METHODS In a prospective birth cohort of Dominican and African American children from New York City, New York (1998-2006), mtDNAcn was measured in cord blood. Children (N = 336) were evaluated for their height, weight, and bioimpedance at age 5, 7, 9, and 11 years. We used linear mixed-effects models to assess associations of mtDNAcn tertiles in cord blood with child BMI, BMI z scores, fat mass index, and body fat percentage. Latent class growth models and interactions between mtDNAcn and child age or child age2 were used to assess associations between age and adiposity trajectories. RESULTS BMI was, on average, 1.5 kg/m2 higher (95% CI: 0.58, 2.5) in individuals with mtDNAcn in the low- compared with the middle-mtDNAcn tertile. Results were similar for BMI z score, fat mass index, and body fat percentage. Moreover, children in the low-mtDNAcn group had increased odds of being in an "increasing" or "high-stable" adiposity class. CONCLUSIONS Lower mtDNAcn at birth may predict greater childhood adiposity, highlighting the potential key role of perinatal mitochondrial function in adiposity during development.
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Affiliation(s)
- Aalekhya Reddam
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Tessa R Bloomquist
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Lindsey T Covell
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Heng Hu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Sharon E Oberfield
- Department of Pediatrics, New York-Presbyterian Hospital, Columbia University Medical Center, New York, New York, USA
| | - Dympna Gallagher
- Nutrition Obesity Research Center, Columbia University Medical Center, New York, New York, USA
| | - Rachel L Miller
- Division of Clinical Immunology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jeff Goldsmith
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Andrew G Rundle
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Julie B Herbstman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Allison Kupsco
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
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5
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Cheng Q, Liu QQ, Lu CA. A state-of-the-science review of using mitochondrial DNA copy number as a biomarker for environmental exposure. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 346:123642. [PMID: 38402934 DOI: 10.1016/j.envpol.2024.123642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 02/06/2024] [Accepted: 02/22/2024] [Indexed: 02/27/2024]
Abstract
Mitochondria are bioenergetic, biosynthetic, and signaling organelles in eukaryotes, and contain their own genomes, mitochondrial DNA (mtDNA), to supply energy to cells by generating ATP via oxidative phosphorylation. Therefore, the threat to mitochondria' integrity and health resulting from environmental exposure could induce adverse health effects in organisms. In this review, we summarized the association between mtDNA copy number (mtDNAcn), and environmental exposures as reported in the literature. We conducted a literature search in the Web of Science using [Mitochondrial DNA copy number] and [Exposure] as two keywords and employed three selection criteria for the final inclusion of 97 papers for review. The consensus of data was that mtDNAcn could be used as a plausible biomarker for cumulative exposures to environmental chemical and physical agents. In order to furtherly expand the application of mtDNAcn in ecological and environmental health research, we suggested a series of algorithms aiming to standardize the calculation of mtDNAcn based on the PCR results in this review. We also discussed the pitfalls of using whole blood/plasma samples for mtDNAcn measurements and regard buccal cells a plausible and practical alternative. Finally, we recognized the importance of better understanding the mechanistic analysis and regulatory mechanism of mtDNAcn, in particular the signals release and regulation pathways. We believe that the development of using mtDNAcn as an exposure biomarker will revolutionize the evaluation of chronic sub-lethal toxicity of chemicals to organisms in ecological and environmental health research that has not yet been implemented.
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Affiliation(s)
- Qing Cheng
- College of Resources and Environment, Southwest University, Chongqing, 400715, People's Republic of China
| | - Qing Qing Liu
- College of Resources and Environment, Southwest University, Chongqing, 400715, People's Republic of China
| | - Chensheng Alex Lu
- College of Resources and Environment, Southwest University, Chongqing, 400715, People's Republic of China; School of Public Health, University of Washington, Seattle, WA, 98195, USA.
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6
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Tian Q, Zweibaum DA, Pilling LC, Casanova F, Qian Y, Atkins JL, Melzer D, Ding J, Ferrucci L. Is Mitochondrial DNA Copy Number from Human Blood Associated with Iron Deposits in the Brain? Antioxid Redox Signal 2024. [PMID: 38251633 DOI: 10.1089/ars.2023.0529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Iron overload is implicated in mitochondrial dysfunction. Some iron and mitochondria-related measures show sex differences. It is unclear whether mitochondrial DNA copy number (mtDNAcn) from blood associated with iron depositions in the brain or liver and whether the relationship differs by sex. In this population-based study, we find that among community-dwelling adults, lower mtDNAcn assessed in blood is associated with higher brain iron in basal ganglia and hippocampus and more liver fat, and not with brain volumes or liver iron. Interestingly, the association between mtDNAcn and brain iron in basal ganglia is prominent in men. Our observations lead to the hypothesis that mechanisms connecting mitochondrial dysfunction and iron overload may differ between brain and liver and differ by sex.
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Affiliation(s)
- Qu Tian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - David A Zweibaum
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Luke C Pilling
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, United Kingdom
| | - Francesco Casanova
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, United Kingdom
| | - Yong Qian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Janice L Atkins
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, United Kingdom
| | - David Melzer
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, United Kingdom
| | - Jun Ding
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
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7
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Harvey C, Weinreich M, Lee JA, Shaw AC, Ferraiuolo L, Mortiboys H, Zhang S, Hop PJ, Zwamborn RA, van Eijk K, Julian TH, Moll T, Iacoangeli A, Al Khleifat A, Quinn JP, Pfaff AL, Kõks S, Poulton J, Battle SL, Arking DE, Snyder MP, Veldink JH, Kenna KP, Shaw PJ, Cooper-Knock J. Rare and common genetic determinants of mitochondrial function determine severity but not risk of amyotrophic lateral sclerosis. Heliyon 2024; 10:e24975. [PMID: 38317984 PMCID: PMC10839612 DOI: 10.1016/j.heliyon.2024.e24975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 01/12/2024] [Accepted: 01/17/2024] [Indexed: 02/07/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease involving selective vulnerability of energy-intensive motor neurons (MNs). It has been unclear whether mitochondrial function is an upstream driver or a downstream modifier of neurotoxicity. We separated upstream genetic determinants of mitochondrial function, including genetic variation within the mitochondrial genome or autosomes; from downstream changeable factors including mitochondrial DNA copy number (mtCN). Across three cohorts including 6,437 ALS patients, we discovered that a set of mitochondrial haplotypes, chosen because they are linked to measurements of mitochondrial function, are a determinant of ALS survival following disease onset, but do not modify ALS risk. One particular haplotype appeared to be neuroprotective and was significantly over-represented in two cohorts of long-surviving ALS patients. Causal inference for mitochondrial function was achievable using mitochondrial haplotypes, but not autosomal SNPs in traditional Mendelian randomization (MR). Furthermore, rare loss-of-function genetic variants within, and reduced MN expression of, ACADM and DNA2 lead to ∼50 % shorter ALS survival; both proteins are implicated in mitochondrial function. Both mtCN and cellular vulnerability are linked to DNA2 function in ALS patient-derived neurons. Finally, MtCN responds dynamically to the onset of ALS independently of mitochondrial haplotype, and is correlated with disease severity. We conclude that, based on the genetic measures we have employed, mitochondrial function is a therapeutic target for amelioration of disease severity but not prevention of ALS.
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Affiliation(s)
- Calum Harvey
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Marcel Weinreich
- Clinical Neurobiology, German Cancer Research Center and University Hospital Heidelberg, Germany
| | - James A.K. Lee
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Allan C. Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Laura Ferraiuolo
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Heather Mortiboys
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Sai Zhang
- Department of Epidemiology, University of Florida, Gainesville, FL, USA
| | - Paul J. Hop
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ramona A.J. Zwamborn
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Kristel van Eijk
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Thomas H. Julian
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, UK
| | - Tobias Moll
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Alfredo Iacoangeli
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Basic and Clinical Neuroscience, London, UK
| | - Ahmad Al Khleifat
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Basic and Clinical Neuroscience, London, UK
| | - John P. Quinn
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular & Integrative Biology, Liverpool, UK
| | - Abigail L. Pfaff
- Perron Institute for Neurological and Translational Science, Perth, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, Australia
| | - Sulev Kõks
- Perron Institute for Neurological and Translational Science, Perth, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, Australia
| | - Joanna Poulton
- Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford, UK
| | - Stephanie L. Battle
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dan E. Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael P. Snyder
- Center for Genomics and Personalized Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Project MinE ALS Sequencing Consortium
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
- Clinical Neurobiology, German Cancer Research Center and University Hospital Heidelberg, Germany
- Department of Epidemiology, University of Florida, Gainesville, FL, USA
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, UK
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Basic and Clinical Neuroscience, London, UK
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular & Integrative Biology, Liverpool, UK
- Perron Institute for Neurological and Translational Science, Perth, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, Australia
- Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford, UK
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Center for Genomics and Personalized Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Jan H. Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Kevin P. Kenna
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Pamela J. Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
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Roch B, Pisareva E, Mirandola A, Sanchez C, Pastor B, Tanos R, Frayssinoux F, Diab-Assaf M, Anker P, Al Amir Dache Z, Thierry AR. Impact of platelet activation on the release of cell-free mitochondria and circulating mitochondrial DNA. Clin Chim Acta 2024; 553:117711. [PMID: 38101467 DOI: 10.1016/j.cca.2023.117711] [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: 05/09/2023] [Revised: 12/11/2023] [Accepted: 12/11/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Research on circulating mitochondrial DNA (cir-mtDNA) based diagnostic is insufficient, as to its function, origin, structural features, and particularly its standardization of isolation. To date, plasma preparation performed in previous studies do not take into consideration the potential bias resulting from the release of mitochondria by activated platelets. METHODS To tackle this, we compared the mtDNA amount determined by a standard plasma preparation method or a method optimally avoiding platelet activation. MtDNA extracted from the plasma of seven healthy individuals was quantified by Q-PCR in the course of the process of both methods submitted to filtration, freezing or differential centrifugation. RESULTS 98.7 to 99.4% of plasma mtDNA corresponded to extracellular mitochondria, either free or into large extracellular vesicles. Without platelet activation, the proportion of both types of entities remained preponderant (76-80%), but the amount of detected mtDNA decreased 67-fold. CONCLUSION We show the high capacity of platelets to release free mitochondria in "in vitro" conditions. This represents a potent confounding factor when extracting mtDNA for cir-mtDNA investigation. Platelet activation during pre-analytical conditions should therefore be avoided when studying cir-mtDNA. Our findings lead to a profound revision of the assumptions previously made by most works in this field. Overall, our data suggest the need to characterize or isolate mtDNA associated various structural forms, as well as to standardize plasma preparation, to better circumscribe cir-mtDNA's diagnostic capacity.
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Affiliation(s)
- Benoit Roch
- IRCM, Montpellier Cancer Research Institute, INSERM U1194, Montpellier University, Montpellier F-34298, France; Thoracic Oncology Unit, Arnaud de Villeneuve Hospital, University Hospital of Montpellier, Montpellier F-34295, France
| | - Ekaterina Pisareva
- IRCM, Montpellier Cancer Research Institute, INSERM U1194, Montpellier University, Montpellier F-34298, France
| | - Alexia Mirandola
- IRCM, Montpellier Cancer Research Institute, INSERM U1194, Montpellier University, Montpellier F-34298, France
| | - Cynthia Sanchez
- IRCM, Montpellier Cancer Research Institute, INSERM U1194, Montpellier University, Montpellier F-34298, France
| | - Brice Pastor
- IRCM, Montpellier Cancer Research Institute, INSERM U1194, Montpellier University, Montpellier F-34298, France
| | - Rita Tanos
- IRCM, Montpellier Cancer Research Institute, INSERM U1194, Montpellier University, Montpellier F-34298, France
| | - Florence Frayssinoux
- IRCM, Montpellier Cancer Research Institute, INSERM U1194, Montpellier University, Montpellier F-34298, France
| | - Mona Diab-Assaf
- Faculty of Sciences II, Lebanese University Fanar, Beirut, Lebanon
| | - Philippe Anker
- IRCM, Montpellier Cancer Research Institute, INSERM U1194, Montpellier University, Montpellier F-34298, France
| | - Zahra Al Amir Dache
- IRCM, Montpellier Cancer Research Institute, INSERM U1194, Montpellier University, Montpellier F-34298, France
| | - Alain R Thierry
- IRCM, Montpellier Cancer Research Institute, INSERM U1194, Montpellier University, Montpellier F-34298, France; ICM, Institut Régional du Cancer de Montpellier, Montpellier F-34298, France.
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9
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Gorham IK, Reid DM, Sun J, Zhou Z, Barber RC, Phillips NR. Blood-Based mtDNA Quantification Indicates Population-Specific Differences Associated with Alzheimer's Disease-Related Risk. J Alzheimers Dis 2024; 97:1407-1419. [PMID: 38250773 DOI: 10.3233/jad-230880] [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] [Indexed: 01/23/2024]
Abstract
BACKGROUND Age is known to be the biggest risk factor for Alzheimer's disease (AD), and Mexican Americans (MAs), who are one of the fastest-aging populations in the United States, are at a uniquely elevated risk. Mitochondrial stress and dysfunction are key players in the progression of AD and are also known to be impacted by lifestyle and environmental exposures/stressors. OBJECTIVE This study aimed to identify population-specific differences in indicators of mitochondrial stress and dysfunction associated with AD risk that are detectable in the blood. METHODS Examining blood from both non-Hispanic white (NHW) and MA participants (N = 527, MA n = 284, NHW n = 243), mitochondrial DNA (mtDNA) and nuclear DNA (nDNA) copy numbers were assessed through quantitative PCR. Data was stratified by population and sample type, and multiple linear regression analyses were performed to identify factors that may influence this phenotype of mitochondrial dysfunction. RESULTS In the MA cohort, there was a significant relationship between cellular mtDNA:nDNA ratio and body mass index, CDR sum of boxes score, the APOEɛ2/ɛ3 genotype, and education. Further, there was a significant relationship between cell-free mtDNA copy number and both education and CDR sum score. In the NHW cohort, there was a significant relationship between cellular mtDNA:nDNA ratio and both age and CDR sum score. Age was associated with cell-free mtDNA in the NHW cohort. CONCLUSIONS This evidence supports the existence of population-based differences in the factors that are predictive of this blood-based phenotype of mitochondrial dysfunction, which may be indicative of cognitive decline and AD risk.
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Affiliation(s)
- Isabelle K Gorham
- Department of Microbiology, Immunology, and Genetics, School of Biomedical Sciences, UNT Health Science Center, Fort Worth, TX, USA
| | - Danielle Marie Reid
- Department of Microbiology, Immunology, and Genetics, School of Biomedical Sciences, UNT Health Science Center, Fort Worth, TX, USA
| | - Jie Sun
- Department of Microbiology, Immunology, and Genetics, School of Biomedical Sciences, UNT Health Science Center, Fort Worth, TX, USA
| | - Zhengyang Zhou
- Department of Biostatistics and Epidemiology, School of Public Health, UNT Health Science Center, Fort Worth, TX, USA
| | - Robert C Barber
- Department of Family Medicine, Texas College of Osteopathic Medicine, UNT Health Science Center, Fort Worth, TX, USA
- Institute for Translational Research, UNT Health Science Center, Fort Worth, TX, USA
| | - Nicole R Phillips
- Department of Microbiology, Immunology, and Genetics, School of Biomedical Sciences, UNT Health Science Center, Fort Worth, TX, USA
- Institute for Translational Research, UNT Health Science Center, Fort Worth, TX, USA
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10
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Naue J, Xavier C, Hörer S, Parson W, Lutz-Bonengel S. Assessment of mitochondrial DNA copy number variation relative to nuclear DNA quantity between different tissues. Mitochondrion 2024; 74:101823. [PMID: 38040171 DOI: 10.1016/j.mito.2023.11.006] [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: 08/17/2023] [Revised: 10/23/2023] [Accepted: 11/26/2023] [Indexed: 12/03/2023]
Abstract
Mitochondrial DNA is a widely tested genetic marker in various fields of research and diagnostics. Nonetheless, there is still little understanding on its abundance and quality within different tissues. Aiming to obtain deeper knowledge about the content and quality of mtDNA, we investigated nine tissues including blood, bone, brain, hair (root and shaft), cardiac muscle, liver, lung, skeletal muscle, and buccal mucosa of 32 deceased individuals using two real-time quantitative PCR-based assays with differently sized mtDNA and nDNA targets. The results revealed that the quantity of nDNA is a weak surrogate to estimate mtDNA quantities among tissues of an individual, as well as tissues across individuals. Especially hair showed extreme variation, depicting a range of multiple magnitudes of mtDNA molecules per hair fragment. Furthermore, degradation can lead to fewer fragments being available for PCR. The results call for parallel determination of the quantity and quality of mtDNA prior to downstream genotyping assays.
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Affiliation(s)
- Jana Naue
- Institute of Forensic Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Albertstrasse 9, Freiburg 79104, Germany
| | - Catarina Xavier
- Institute of Legal Medicine, Medical University of Innsbruck, Muellerstrasse 44, Innsbruck 6020, Austria; i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal
| | - Steffen Hörer
- Institute of Forensic Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Albertstrasse 9, Freiburg 79104, Germany
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Muellerstrasse 44, Innsbruck 6020, Austria; Forensic Science Program, The Pennsylvania State University, USA.
| | - Sabine Lutz-Bonengel
- Institute of Forensic Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Albertstrasse 9, Freiburg 79104, Germany
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11
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Calarco CA, Keppetipola SM, Kumar G, Shipper AG, Lobo MK. Whole blood mitochondrial copy number in clinical populations with mood disorders: A meta-analysis: Blood mitochondrial copy number and mood disorders. Psychiatry Res 2024; 331:115662. [PMID: 38118327 DOI: 10.1016/j.psychres.2023.115662] [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: 09/13/2023] [Revised: 12/01/2023] [Accepted: 12/02/2023] [Indexed: 12/22/2023]
Abstract
Major depressive disorder (MDD) and bipolar disorder (BD), are globally prevalent, contributing to significant disease burden and adverse health outcomes. These mood disorders are associated with changes in many aspects of brain reward pathways, yet cellular and molecular changes in the brain are not readily available in clinical populations. Therefore, the use of biomarkers as proxies for changes in the brain are necessary. The proliferation of mitochondria in blood has emerged as a potentially useful biomarker, yet a clear consensus on how these mood disorders impact mitochondrial DNA copy number (mtDNAcn) has not been reached. To determine the current available consensus on the relationship of mood disorder diagnosis and blood mtDNcn, we performed a meta-analysis of available literature measuring this biomarker. Following PRISMA guidelines for a systematic search, 22 papers met inclusion criteria for meta-analysis (10 MDD, 10 BD, 2 both MDD and BD). We extracted demographic, disorder, and methodological information with mtDNAcn. Using the metafor package for R, calculated effect sizes were used in random effects or meta regression models for MDD and BD. Overall, our data suggest blood mtDNAcn may be a useful biomarker for mood disorders, with MDD and BD Type II associated with higher mtDNAcn, and BD Type I associated with lower mtDNAcn. Initially, we observed a trending increase in mtDNAcn in patients with MDD, which reached significance when one study with outlying demographic characteristics was excluded. Subgroup and meta-regression analysis indicated the relationship between mtDNAcn and diagnosis in patients with BD is dependent on BD type, while no relationship is detectable when BD types are mixed. Further study of blood mtDNAcn could predict downstream health outcomes or treatment responsivity in individuals with mood disorders.
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Affiliation(s)
- Cali A Calarco
- Department of Neurobiology, University of Maryland, 20 Penn Street, Baltimore, MD 21201 USA
| | | | - Gautam Kumar
- Department of Neurobiology, University of Maryland, 20 Penn Street, Baltimore, MD 21201 USA
| | - Andrea G Shipper
- Health Sciences and Human Services Library, University of Maryland, 601W. Lombard Street, Baltimore, MD 21201, USA
| | - Mary Kay Lobo
- Department of Neurobiology, University of Maryland, 20 Penn Street, Baltimore, MD 21201 USA.
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12
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Huang C, Chen L, Li J, Ma J, Luo J, Lv Q, Xiao J, Gao P, Chai W, Li X, Zhang M, Hu F, Hu D, Qin P. Mitochondrial DNA Copy Number and Risk of Diabetes Mellitus and Metabolic Syndrome. J Clin Endocrinol Metab 2023; 109:e406-e417. [PMID: 37431585 DOI: 10.1210/clinem/dgad403] [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: 04/17/2023] [Revised: 07/04/2023] [Accepted: 07/06/2023] [Indexed: 07/12/2023]
Abstract
CONTEXT Mitochondrial DNA (mtDNA) plays a key role in diabetes mellitus and metabolic syndrome (MetS). An increasing number of studies have reported the association between mtDNA copy number (mtDNA-CN) and the risk of diabetes mellitus and MetS; however, the associations remain conflicted and a systematic review and meta-analysis on the association between mtDNA-CN and diabetes mellitus and MetS is lacking. OBJECTIVE We aimed to investigate the association of mtDNA-CN and diabetes mellitus and MetS using a systematic review and meta-analysis of observational studies. METHODS PubMed, EMBASE, and Web of Science were searched up to December 15, 2022. Random-effect models were used to summarize the relative risks (RRs) and 95% CIs. RESULTS A total of 19 articles were included in the systematic review and 6 articles (12 studies) in the meta-analysis involving 21 714 patients with diabetes (318 870 participants) and 5031 MetS (15 040 participants). Compared to the highest mtDNA-CN, the summary RR (95% CIs) for the lowest mtDNA-CN were 1.06 (95% CI, 1.01-1.12; I2 = 79.4%; n = 8) for diabetes (prospective study: 1.11 (1.02-1.21); I2 = 22.6%; n = 4; case-control: 1.27 (0.66-2.43); I2 = 81.8%; n = 2; cross-sectional: 1.01 (0.99-1.03); I2 = 74.7%; n = 2), and 1.03 (0.99-1.07; I2 = 70.6%; n = 4) for MetS (prospective: 2.87 (1.51-5.48); I2 = 0; n = 2; cross-sectional: 1.02 (1.01-1.04); I2 = 0; n = 2). CONCLUSION Decreased mtDNA-CN was associated with increased risk of diabetes mellitus and MetS when limited to prospective studies. More longitudinal studies are warranted.
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Affiliation(s)
- Cuihong Huang
- Center for Clinical Epidemiology and Evidence-based Medicine, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518000, Guangdong, China
- School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Lifang Chen
- Department of Cardiovascular Medicine, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518000, Guangdong, China
| | - Jiangtao Li
- Department of Cardiovascular Medicine, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518000, Guangdong, China
| | - Juanjuan Ma
- Center for Clinical Epidemiology and Evidence-based Medicine, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518000, Guangdong, China
| | - Jun Luo
- Department of Cardiovascular Medicine, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518000, Guangdong, China
| | - Qian Lv
- Department of Cardiovascular Medicine, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518000, Guangdong, China
| | - Jian Xiao
- Department of Cardiovascular Medicine, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518000, Guangdong, China
| | - Pan Gao
- Department of Neurology, Shenzhen University General Hospital, Shenzhen, 518000, Guangdong, China
| | - Wen Chai
- Department of Neurology, Shenzhen University General Hospital, Shenzhen, 518000, Guangdong, China
| | - Xu Li
- Department of Neurosurgery, The Second Affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong, China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, 518000, Guangdong, China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, 518000, Guangdong, China
| | - Dongsheng Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, 518000, Guangdong, China
| | - Pei Qin
- Center for Clinical Epidemiology and Evidence-based Medicine, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518000, Guangdong, China
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13
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Ceylan D, Karacicek B, Tufekci KU, Aksahin IC, Senol SH, Genc S. Mitochondrial DNA oxidation, methylation, and copy number alterations in major and bipolar depression. Front Psychiatry 2023; 14:1304660. [PMID: 38161720 PMCID: PMC10755902 DOI: 10.3389/fpsyt.2023.1304660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 11/20/2023] [Indexed: 01/03/2024] Open
Abstract
Background Mood disorders are common disabling psychiatric disorders caused by both genetic and environmental factors. Mitochondrial DNA (mtDNA) modifications and epigenetics are promising areas of research in depression since mitochondrial dysfunction has been associated with depression. In this study we aimed to investigate the mtDNA changes in depressive disorder (MDD) and bipolar disorder (BD). Methods Displacement loop methylation (D-loop-met), relative mtDNA copy number (mtDNA-cn) and mtDNA oxidation (mtDNA-oxi) were investigated in DNA samples of individuals with MDD (n = 34), BD (n = 23), and healthy controls (HC; n = 40) using the Real-Time Polymerase Chain Reaction (RT-PCR). Blood samples were obtained from a subset of individuals with MDD (n = 15) during a depressive episode (baseline) and after remission (8th week). Results The study groups exhibited significant differences in D-loop-met (p = 0.020), while relative mtDNA-cn and mtDNA-oxi showed comparable results. During the remission phase (8th week), there were lower levels of relative mtDNA-cn (Z = -2.783, p = 0.005) and D-loop-met (Z = -3.180, p = 0.001) compared to the acute MDD baseline, with no significant change in mtDNA-oxi levels (Z = -1.193, p = 0.233). Conclusion Our findings indicate significantly increased D-loop methylation in MDD compared to BD and HCs, suggesting distinct mtDNA modifications in these conditions. Moreover, the observed alterations in relative mtDNA-cn and D-loop-met during remission suggest a potential role of mtDNA alterations in the pathophysiology of MDD. Future studies may provide valuable insights into the dynamics of mtDNA modifications in both disorders and their response to treatment.
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Affiliation(s)
- Deniz Ceylan
- Affective Laboratory, Koç University Research Center for Translational Medicine, Istanbul, Türkiye
- Department of Psychiatry, Koç University Hospital, Istanbul, Türkiye
| | - Bilge Karacicek
- Izmir Biomedicine and Genome Center, Genç Lab, Izmir, Türkiye
| | - Kemal Ugur Tufekci
- Brain and Neuroscience Research and Application Center, Izmir Demokrasi University, Izmir, Türkiye
- Vocational School of Health Services, Izmir Democracy University, Izmir, Türkiye
| | - Izel Cemre Aksahin
- Affective Laboratory, Koç University Research Center for Translational Medicine, Istanbul, Türkiye
- Graduate School of Health Sciences, Koç University, Istanbul, Türkiye
| | - Sevin Hun Senol
- Department of Psychiatry, Koç University Hospital, Istanbul, Türkiye
| | - Sermin Genc
- Izmir Biomedicine and Genome Center, Genç Lab, Izmir, Türkiye
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14
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Li W, Zhu L, Chen Y, Zhuo Y, Wan S, Guo R. Association between mitochondrial DNA levels and depression: a systematic review and meta-analysis. BMC Psychiatry 2023; 23:866. [PMID: 37993802 PMCID: PMC10664364 DOI: 10.1186/s12888-023-05358-8] [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: 05/28/2023] [Accepted: 11/07/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND Mitochondrial dysfunction leading to disturbances in energy metabolism has emerged as one of the risk factors in the pathogenesis of depression. Numerous studies have identified alterations in the content of mitochondrial DNA (mtDNA) in peripheral blood and cerebrospinal fluid of individuals with depression. Researchers have sought to establish a clear association between mtDNA and depression. Consequently, we conducted a comprehensive meta-analysis to assess the existing evidence regarding the impact of mtDNA on depression. METHODS This study conducted a thorough search of the following databases up to March 13, 2023: PubMed, Embase, the Cochrane Library, the Web of Science, Wanfang Database, SINOMED, the China Science and Technology Journal Database, and China National Knowledge Infrastructure. The meta-analysis was carried out using RevMan (version 5.4) and Stata (version 16.0) software. In addition, publication bias was assessed with funnel plots, Begg's test and Egger's test. RESULTS Our analysis included data from 10 articles, including 12 studies for further examination. A total of 1400 participants were included in this study, comprising 709 (including 300 males and 409 females) patients with depression and 691 (including 303 males and 388 females) healthy controls. The average age of depressed patients was (42.98 ± 2.55) years, and the average age of healthy people was (41.71 ± 2.6) years. The scales used to assess outcomes are Hamilton-rating scale for Depression(4 articles), Montgomery-Asberg Depression Rating Scale(3 articles), and Mini-Internatioal Neuropsychiatric Interview (1 articles). The meta-analysis revealed significantly higher levels of mtDNA in circulating blood samples and skin fibroblasts of individuals with depression in comparison to healthy controls [standardized mean difference(SMD) = 0.42, 95% confidence intervals(CI): 0.16, 0.67]. CONCLUSIONS Our study concludes that there is a significant (p < 0.05) increase in mtDNA levels in serum, plasma, and cerebrospinal fluid in individuals with depression. These findings suggest that mtDNA could serve as a potential biomarker for diagnosing depression. REGISTRATION NUMBER PROSPERO CRD42023414285.
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Affiliation(s)
- Wenhui Li
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Lingqun Zhu
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing Key Laboratory of Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
| | - Yi Chen
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Yudi Zhuo
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Shurun Wan
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Rongjuan Guo
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, 100078, China.
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15
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Abstract
PURPOSE OF REVIEW MtDNA copy number (CN), a putative noninvasive biomarker of mitochondrial dysfunction, is associated with renal disease. The purpose of this review is to describe studies which measured human blood mtDNA-CN in the context of chronic kidney disease (CKD), and to evaluate its potential as a clinical biomarker of kidney disease. RECENT FINDINGS Following on from small scale cross-sectional studies implicating mtDNA-CN changes in diabetic kidney disease, recent large scale population studies provide compelling evidence of the association of mtDNA-CN and risk of renal disease in the general population and poor outcomes in CKD patients. SUMMARY The kidney has high bioenergetic needs, renal cells are rich in mitochondrial content containing 100s to 1000s of mtDNA molecular per cell. MtDNA has emerged as both a potential mediator, and a putative biomarker of renal disease. Damage to mtDNA can result in bioenergetic deficit, and reduced MtDNA levels in the blood have been shown to correlate with CKD. Furthermore, leakage of mtDNA outside of mitochondria into the cytosol/periphery can directly cause inflammation and is implicated in acute kidney injury (AKI). Recent large-scale population studies show the association of mtDNA-CN and renal disease and provide a strong basis for the future evaluation of circulating DNA-CN in longitudinal studies to determine its utility as a clinical biomarker for monitoring renal function.
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Affiliation(s)
- Afshan N Malik
- King's College London, Diabetes and Obesity, School of Cardiovascular Medicine and Metabolic Sciences, Guy's Campus, London, UK
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16
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Thibord F, Johnson AD. Sources of variability in the human platelet transcriptome. Thromb Res 2023; 231:255-263. [PMID: 37357099 DOI: 10.1016/j.thromres.2023.06.009] [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: 03/31/2023] [Revised: 05/31/2023] [Accepted: 06/09/2023] [Indexed: 06/27/2023]
Abstract
Platelets are anucleated cells produced by megakaryocytes, from which they inherit all the components necessary to carry their functions. They circulate in blood vessels where they play essential roles in coagulation, wound repair or inflammation, and have been implicated in various pathological conditions such as thrombosis, viral infection or cancer progression. The importance of these cells has been established over a century ago, and effective anti-platelet medications with different mechanisms of action have since been developed. However, these therapies are not always effective and can incur adverse events, thus a better understanding of platelets molecular processes is needed to address these issues and improve our understanding of platelet functions. In recent years, an increasing number of studies have leveraged OMICs technologies to analyze their content and identify molecular signatures and mechanisms associated with platelet functions and platelet related disorders. In particular, the increased accessibility of microarrays and RNA sequencing opened the way for studies of the platelet transcriptome under a wide array of conditions. These studies revealed distinct expression profiles in diverse pathologies, which could lead to the discovery of novel biomarkers and therapeutic targets, and suggests a dynamic transcriptome that could influence platelet mechanisms. In this review, we highlight the different sources of transcript level variability in platelets while summarizing recent advances and discoveries from this emerging field.
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Affiliation(s)
- Florian Thibord
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, 73 Mt. Wayte, Suite #2, Framingham, MA 01702, USA; The Framingham Heart Study, Boston University and NHLBI, 73 Mt. Wayte Ave, Suite #2, Framingham, MA 01702, USA.
| | - Andrew D Johnson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, 73 Mt. Wayte, Suite #2, Framingham, MA 01702, USA; The Framingham Heart Study, Boston University and NHLBI, 73 Mt. Wayte Ave, Suite #2, Framingham, MA 01702, USA
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17
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Lv S, Lai X, Guo W, Liu M, Li M, Yang H, Yang L, Zhang X. Short-term exposure to multiple metals mixture and mitochondrial DNA copy number among children: A panel study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 896:165151. [PMID: 37385501 DOI: 10.1016/j.scitotenv.2023.165151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 06/19/2023] [Accepted: 06/24/2023] [Indexed: 07/01/2023]
Abstract
BACKGROUND Little is known regarding the individual and overall associations of short-term co-exposure to metals mixture with mitochondrial DNA copy number (mtDNAcn) among healthy children. METHODS We conducted a panel study across three seasons among 144 children aged 4 to 12 years in Guangzhou. For each season, we collected the first-morning urine for four consecutive days and fasting blood on the 4th day to detect 23 urinary metals and blood leukocyte mtDNAcn, respectively. Linear mixed-effect (LME) models and multiple informant models were used to examine the relations of individual metals with mtDNAcn over different lag days, and the least absolute shrinkage and selection operator (LASSO) regression was applied to determine the most important metal. We further employed weighted quantile sum (WQS) regression to investigate the overall association of metals mixture with mtDNAcn. RESULTS Nickel (Ni), manganese (Mn) and antimony (Sb) were independently associated with mtDNAcn in a linear dose-response manner. Each 1-fold increase in Ni at lag 0 day, Mn and Sb at lag 2 day was associated with respective decrements of 8.74 %, 6.93 % and 3.98 % in mtDNAcn in multi-metal LME models. LASSO regression also selected Ni, Mn and Sb as the most significant metals at the corresponding lag day. WQS regression showed overall inverse associations between metals mixture and mtDNAcn both at lag 0 and lag 2 day, with mtDNAcn decreased by 2.75 % and 3.14 % in response to a quartile increase in the WQS index. Additionally, the associations of Ni and Mn with decreased mtDNAcn were stronger among children younger than 7 years, girls and those having less vegetables and fruit intake. CONCLUSION We found an overall association between metals mixture and decreased mtDNAcn among healthy children, in which Ni, Mn and Sb were the major contributors. Younger children, girls and those with less vegetables and fruit intake were more susceptible.
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Affiliation(s)
- Shirong Lv
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuefeng Lai
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenting Guo
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Miao Liu
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Meng Li
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huihua Yang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liangle Yang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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18
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Liu X, Sun X, Zhang Y, Jiang W, Lai M, Wiggins KL, Raffield LM, Bielak LF, Zhao W, Pitsillides A, Haessler J, Zheng Y, Blackwell TW, Yao J, Guo X, Qian Y, Thyagarajan B, Pankratz N, Rich SS, Taylor KD, Peyser PA, Heckbert SR, Seshadri S, Boerwinkle E, Grove ML, Larson NB, Smith JA, Vasan RS, Fitzpatrick AL, Fornage M, Ding J, Carson AP, Abecasis G, Dupuis J, Reiner A, Kooperberg C, Hou L, Psaty BM, Wilson JG, Levy D, Rotter JI, Bis JC, Satizabal CL, Arking DE, Liu C. Association Between Whole Blood-Derived Mitochondrial DNA Copy Number, Low-Density Lipoprotein Cholesterol, and Cardiovascular Disease Risk. J Am Heart Assoc 2023; 12:e029090. [PMID: 37804200 PMCID: PMC10757530 DOI: 10.1161/jaha.122.029090] [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: 04/09/2023] [Accepted: 09/08/2023] [Indexed: 10/09/2023]
Abstract
Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods and Results We performed cross-sectional and prospective association analyses of blood-derived mtDNA CN and cardiovascular disease outcomes in 27 316 participants in 8 cohorts of multiple racial and ethnic groups with whole-genome sequencing. We also performed Mendelian randomization to explore causal relationships of mtDNA CN with coronary heart disease (CHD) and cardiometabolic risk factors (obesity, diabetes, hypertension, and hyperlipidemia). P<0.01 was used for significance. We validated most of the previously reported associations between mtDNA CN and cardiovascular disease outcomes. For example, 1-SD unit lower level of mtDNA CN was associated with 1.08 (95% CI, 1.04-1.12; P<0.001) times the hazard for developing incident CHD, adjusting for covariates. Mendelian randomization analyses showed no causal effect from a lower level of mtDNA CN to a higher CHD risk (β=0.091; P=0.11) or in the reverse direction (β=-0.012; P=0.076). Additional bidirectional Mendelian randomization analyses revealed that low-density lipoprotein cholesterol had a causal effect on mtDNA CN (β=-0.084; P<0.001), but the reverse direction was not significant (P=0.059). No causal associations were observed between mtDNA CN and obesity, diabetes, and hypertension, in either direction. Multivariable Mendelian randomization analyses showed no causal effect of CHD on mtDNA CN, controlling for low-density lipoprotein cholesterol level (P=0.52), whereas there was a strong direct causal effect of higher low-density lipoprotein cholesterol on lower mtDNA CN, adjusting for CHD status (β=-0.092; P<0.001). Conclusions Our findings indicate that high low-density lipoprotein cholesterol may underlie the complex relationships between mtDNA CN and vascular atherosclerosis.
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Affiliation(s)
- Xue Liu
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | - Xianbang Sun
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | - Yuankai Zhang
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | - Wenqing Jiang
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | - Meng Lai
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of MedicineUniversity of WashingtonSeattleWAUSA
| | - Laura M. Raffield
- Department of GeneticsUniversity of North Carolina at Chapel HillChapel HillNCUSA
| | - Lawrence F. Bielak
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMIUSA
| | - Wei Zhao
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMIUSA
- Survey Research Center, Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | | | - Jeffrey Haessler
- Fred Hutchinson Cancer Center, Division of Public Health ScienceSeattleWAUSA
| | - Yinan Zheng
- Feinberg School of MedicineNorthwestern UniversityChicagoILUSA
| | | | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor‐UCLA Medical CenterTorranceCAUSA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor‐UCLA Medical CenterTorranceCAUSA
| | - Yong Qian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of HealthBaltimoreMDUSA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and PathologyUniversity of MinnesotaMinneapolisMNUSA
| | - Nathan Pankratz
- Department of Computational PathologyUniversity of MinnesotaMinneapolisMNUSA
| | - Stephen S. Rich
- Center for Public Health GenomicsUniversity of VirginiaCharlottesvilleVAUSA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor‐UCLA Medical CenterTorranceCAUSA
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMIUSA
| | - Susan R. Heckbert
- Cardiovascular Health Research Unit and Department of EpidemiologyUniversity of WashingtonSeattleWAUSA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUniversity of Texas Health Science Center at San AntonioSan AntonioTXUSA
- Framingham Heart Study, National Heart, Lung, and Blood InstituteFraminghamMAUSA
- Department of NeurologyBoston University School of MedicineBostonMAUSA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental SciencesThe University of Texas Health Science Center at HoustonHoustonTXUSA
- Human Genome Sequencing Center, Baylor College of MedicineHoustonTXUSA
| | - Megan L. Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental SciencesThe University of Texas Health Science Center at HoustonHoustonTXUSA
| | - Nicholas B. Larson
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and ScienceRochesterMNUSA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMIUSA
- Survey Research Center, Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | - Ramachandran S. Vasan
- Framingham Heart Study, National Heart, Lung, and Blood InstituteFraminghamMAUSA
- Sections of Preventive Medicine and Epidemiology, and Cardiovascular MedicineBoston University School of MedicineBostonMAUSA
| | - Annette L. Fitzpatrick
- Departments of Family Medicine, Epidemiology, and Global HealthUniversity of WashingtonSeattleWAUSA
| | - Myriam Fornage
- Center for Human GeneticsUniversity of Texas Health Science Center at HoustonHoustonTXUSA
| | - Jun Ding
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of HealthBaltimoreMDUSA
| | - April P. Carson
- Department of MedicineUniversity of Mississippi Medical CenterJacksonMSUSA
| | - Goncalo Abecasis
- TOPMed Informatics Research CenterUniversity of MichiganAnn ArborMIUSA
| | - Josée Dupuis
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
- Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global HealthMcGill University Faculty of Medicine and Health SciencesMontréalQuebecCanada
| | - Alexander Reiner
- Fred Hutchinson Cancer Center, Division of Public Health ScienceSeattleWAUSA
| | - Charles Kooperberg
- Fred Hutchinson Cancer Center, Division of Public Health ScienceSeattleWAUSA
| | - Lifang Hou
- Feinberg School of MedicineNorthwestern UniversityChicagoILUSA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of MedicineUniversity of WashingtonSeattleWAUSA
- Departments of Epidemiology, and Health Systems and Population HealthUniversity of WashingtonSeattleWAUSA
| | - James G. Wilson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical CenterBostonMAUSA
| | - Daniel Levy
- Framingham Heart Study, National Heart, Lung, and Blood InstituteFraminghamMAUSA
- Population Sciences BranchNational Heart, Lung, and Blood Institute, National Institutes of HealthMDBethesdaUSA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor‐UCLA Medical CenterTorranceCAUSA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of MedicineUniversity of WashingtonSeattleWAUSA
| | | | - Claudia L. Satizabal
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUniversity of Texas Health Science Center at San AntonioSan AntonioTXUSA
- Framingham Heart Study, National Heart, Lung, and Blood InstituteFraminghamMAUSA
- Department of NeurologyBoston University School of MedicineBostonMAUSA
| | - Dan E. Arking
- McKusick‐Nathans InstituteDepartment of Genetic MedicineJohns Hopkins University School of MedicineMDBaltimoreUSA
| | - Chunyu Liu
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
- Framingham Heart Study, National Heart, Lung, and Blood InstituteFraminghamMAUSA
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Mishra PK, Kaur P. Mitochondrial biomarkers for airborne particulate matter–associated cardiovascular diseases. CURRENT OPINION IN ENVIRONMENTAL SCIENCE & HEALTH 2023; 35:100494. [DOI: 10.1016/j.coesh.2023.100494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/03/2023]
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20
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Calarco CA, Keppetipola SM, Kumar G, Shipper AG, Lobo MK. Whole blood mitochondrial copy number in clinical populations with mood disorders: a meta-analysis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.13.557572. [PMID: 37745411 PMCID: PMC10515896 DOI: 10.1101/2023.09.13.557572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Background Major depressive disorder (MDD) and bipolar disorder (BD), are globally prevalent, contributing to significant disease burden and adverse health outcomes. These mood disorders are associated with changes in many aspects of brain reward pathways, yet cellular and molecular changes in the brain are not readily available in clinical populations. Therefore, the use of biomarkers as proxies for changes in the brain are necessary. The proliferation of mitochondria in blood has emerged as a potentially useful biomarker, yet a clear consensus on how these mood disorders impact mitochondrial DNA copy number (mtDNAcn) has not been reached. Methods Following PRISMA guidelines for a systematic search, 22 papers met inclusion criteria for meta-analysis (10 MDD, 10 BD, 2 both MDD and BD). We extracted demographic, disorder, and methodological information with mtDNAcn. Using the metafor package for R, calculated effect sizes were used in random effects or meta regression models for MDD and BD. Results Our results show a trending increase in mtDNAcn in patients with MDD, which reaches significance when one study with outlying demographic characteristics is excluded. Overall, there was no effect of BD on mtDNAcn, however, further subgroup and meta-regression analysis indicated the effects on mtDNAcn are dependent on BD type. Conclusions Together our data suggest whole blood/leukocyte mtDNAcn may be a useful biomarker for mood disorders, with MDD and BD Type II associated with higher mtDNAcn, and BD Type I associated with lower mtDNAcn. Further study of blood mtDNAcn could predict downstream health outcomes or treatment responsivity in individuals with mood disorders.
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Jenkins AJ, Carroll LM, Huang MLH, Wen-Loh Y, Mangani A, O'Neal DN, Januszewski AS. Mitochondrial DNA copy number in adults with and without Type 1 diabetes. Diabetes Res Clin Pract 2023; 203:110877. [PMID: 37579994 DOI: 10.1016/j.diabres.2023.110877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/08/2023] [Accepted: 08/11/2023] [Indexed: 08/16/2023]
Abstract
AIMS Mitochondrial damage is implicated in diabetes pathogenesis and complications. Mitochondrial DNA copy number (mtDNA-cn) in human Type 1 diabetes (T1D) studies are lacking. We related mtDNA-cn in T1D and non-diabetic adults (CON) with diabetes complications and risk factors. METHODS Cross-sectional study: 178 T1D, 132 non-diabetic controls. Associations of whole blood mtDNA-cn (qPCR) with complications, inflammation, and C-peptide. RESULTS mtDNA-cn (median (LQ, UQ)) was lower in: T1D vs. CON (271 (189, 348) vs. 320 (264, 410); p < 0.0001); T1D with vs. without kidney disease (238 (180, 309) vs. 294 (198, 364); p = 0.02); and insulin injection vs. pump-users (251 (180, 340) vs. 322 (263, 406); p = 0.008). Significant univariate correlates of mtDNA-cn: T1D: (positive) HDL-C; (negative) fasting glucose, white cell count (WCC), sVCAM-1, sICAM-1; CON: (negative) WHR (waist-hip-ratio). Detectable C-peptide in T1D increased with lowest-highest mtDNA-cn tertiles (54%, 69%, 79%, p = 0.02). Independent determinants of mtDNA-cn: T1D: (positive) HDL-C; (negative) age, sICAM-1; AUROC 0.71; CON: WCC (negative), never smoking, (positive) female, pulse pressure; AUROC 0.74. CONCLUSIONS mtDNA-cn is lower in T1D vs. CON, and in T1D kidney disease. In T1D, mtDNA-cn correlates inversely with age and inflammation, and positively with HDL-C, detectable C-peptide and pump use. Further clinical and basic science studies are merited.
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Affiliation(s)
- Alicia J Jenkins
- NHMRC Clinical Trials Centre, The University of Sydney, NSW, Australia; Department of Medicine, St. Vincent's Hospital, The University of Melbourne, VIC, Australia; Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Luke M Carroll
- NHMRC Clinical Trials Centre, The University of Sydney, NSW, Australia
| | - Michael L H Huang
- NHMRC Clinical Trials Centre, The University of Sydney, NSW, Australia; Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Yik Wen-Loh
- NHMRC Clinical Trials Centre, The University of Sydney, NSW, Australia
| | - Abubakar Mangani
- NHMRC Clinical Trials Centre, The University of Sydney, NSW, Australia
| | - David N O'Neal
- NHMRC Clinical Trials Centre, The University of Sydney, NSW, Australia; Department of Medicine, St. Vincent's Hospital, The University of Melbourne, VIC, Australia
| | - Andrzej S Januszewski
- NHMRC Clinical Trials Centre, The University of Sydney, NSW, Australia; Department of Medicine, St. Vincent's Hospital, The University of Melbourne, VIC, Australia; Sydney Pharmacy School, The University of Sydney, NSW, Australia.
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Rosenberg AM, Saggar M, Monzel AS, Devine J, Rogu P, Limoges A, Junker A, Sandi C, Mosharov EV, Dumitriu D, Anacker C, Picard M. Brain mitochondrial diversity and network organization predict anxiety-like behavior in male mice. Nat Commun 2023; 14:4726. [PMID: 37563104 PMCID: PMC10415311 DOI: 10.1038/s41467-023-39941-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 07/04/2023] [Indexed: 08/12/2023] Open
Abstract
The brain and behavior are under energetic constraints, limited by mitochondrial energy transformation capacity. However, the mitochondria-behavior relationship has not been systematically studied at a brain-wide scale. Here we examined the association between multiple features of mitochondrial respiratory chain capacity and stress-related behaviors in male mice with diverse behavioral phenotypes. Miniaturized assays of mitochondrial respiratory chain enzyme activities and mitochondrial DNA (mtDNA) content were deployed on 571 samples across 17 brain areas, defining specific patterns of mito-behavior associations. By applying multi-slice network analysis to our brain-wide mitochondrial dataset, we identified three large-scale networks of brain areas with shared mitochondrial signatures. A major network composed of cortico-striatal areas exhibited the strongest mitochondria-behavior correlations, accounting for up to 50% of animal-to-animal behavioral differences, suggesting that this mito-based network is functionally significant. The mito-based brain networks also overlapped with regional gene expression and structural connectivity, and exhibited distinct molecular mitochondrial phenotype signatures. This work provides convergent multimodal evidence anchored in enzyme activities, gene expression, and animal behavior that distinct, behaviorally-relevant mitochondrial phenotypes exist across the male mouse brain.
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Affiliation(s)
- Ayelet M Rosenberg
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Manish Saggar
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Anna S Monzel
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Jack Devine
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Peter Rogu
- Columbia University Institute for Developmental Sciences, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Aaron Limoges
- Department of Biological Sciences, Columbia University, New York, NY, USA
- Division of Systems Neuroscience, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Alex Junker
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Carmen Sandi
- Brain Mind Institute, Ecole Polytechnique Federal de Lausanne (EPFL), Lausanne, Switzerland
| | - Eugene V Mosharov
- Division of Molecular Therapeutics, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Dani Dumitriu
- Columbia University Institute for Developmental Sciences, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
- Division of Developmental Neuroscience, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Christoph Anacker
- Columbia University Institute for Developmental Sciences, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Division of Systems Neuroscience, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Martin Picard
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
- New York State Psychiatric Institute, New York, NY, USA.
- Department of Neurology, H. Houston Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, USA.
- Robert N Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY, USA.
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23
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Zaidi AA, Verma A, Morse C, Ritchie MD, Mathieson I. The genetic and phenotypic correlates of mtDNA copy number in a multi-ancestry cohort. HGG ADVANCES 2023; 4:100202. [PMID: 37255673 PMCID: PMC10225932 DOI: 10.1016/j.xhgg.2023.100202] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 04/25/2023] [Indexed: 06/01/2023] Open
Abstract
Mitochondrial DNA copy number (mtCN) is often treated as a proxy for mitochondrial (dys-) function and disease risk. Pathological changes in mtCN are common symptoms of rare mitochondrial disorders, but reported associations between mtCN and common diseases vary across studies. To understand the biology of mtCN, we carried out genome- and phenome-wide association studies of mtCN in 30,666 individuals from the Penn Medicine BioBank (PMBB)-a diverse cohort of largely African and European ancestry. We estimated mtCN in peripheral blood using exome sequence data, taking cell composition into account. We replicated known genetic associations of mtCN in the PMBB and found that their effects are highly correlated between individuals of European and African ancestry. However, the heritability of mtCN was much higher among individuals of largely African ancestry ( h 2 = 0.3 ) compared with European ancestry individuals( h 2 = 0.1 ) . Admixture mapping suggests that there are undiscovered variants underlying mtCN that are differentiated in frequency between individuals with African and European ancestry. We show that mtCN is associated with many health-related phenotypes. We discovered robust associations between mtDNA copy number and diseases of metabolically active tissues, such as cardiovascular disease and liver damage, that were consistent across African and European ancestry individuals. Other associations, such as epilepsy and prostate cancer, were only discovered in either individuals with European or African ancestry but not both. We show that mtCN-phenotype associations can be sensitive to blood cell composition and environmental modifiers, explaining why such associations are inconsistent across studies. Thus, mtCN-phenotype associations must be interpreted with care.
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Affiliation(s)
- Arslan A. Zaidi
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anurag Verma
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Colleen Morse
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Penn Medicine BioBank
- Center for Translational Bioinformatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marylyn D. Ritchie
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Iain Mathieson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Al-Kafaji G, Jahrami HA, Alwehaidah MS, Alshammari Y, Husni M. Mitochondrial DNA copy number in autism spectrum disorder and attention deficit hyperactivity disorder: a systematic review and meta-analysis. Front Psychiatry 2023; 14:1196035. [PMID: 37484684 PMCID: PMC10361772 DOI: 10.3389/fpsyt.2023.1196035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 06/21/2023] [Indexed: 07/25/2023] Open
Abstract
Background Several reports suggest that altered mitochondrial DNA copy number (mtDNA-cn), a common biomarker for aberrant mitochondrial function, is implicated in autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD), but the results are still elusive. Methods A meta-analysis was performed to summarize the current indication and to provide a more precise assessment of the mtDNA-cn in ASD and ADHD. A search in the MEDLINE-PubMed, Scopus, and EMBASE databases was done to identify related studies up to the end of February 2023. The meta-analysis was conducted according to recommendations of the Cochrane Handbook of Systematic Reviews. Results Fourteen studies involving 666 cases with ASD and ADHD and 585 controls were collected and judged relevant for the systematic review and meta-analysis. The pooled results by a random effects meta-analysis was reported as a geometric mean of the estimated average response ratio and 95% confidence interval. Overall analysis of studies reported differences in mtDNA-cn in blood samples (k = 10) and non-blood samples (brain tissues and oral samples; k = 4) suggested significantly higher mtDNA-cn in patients compared to controls (p = 0.0275). Sub-analysis by stratifying studies based on tissue type, showed no significant increase in mtDNA-cn in blood samples among patients and controls (p = 0.284). Conversely, higher mtDNA-cn was observed in non-blood samples in patients than in controls (p = 0.0122). Further stratified analysis based on blood-cell compositions as potential confounds showed no significant difference in mtDNA-cn in peripheral blood samples of patients comparted to controls (p = 0.074). In addition, stratified analysis of aged-matched ASD and ADHD patients and controls revealed no significant difference in mtDNA-cn in blood samples between patients and controls (p = 0.214), whereas a significant increase in mtDNA-cn was observed in non-blood samples between patients and controls (p < 0.001). Finally, when the mtDNA-cn was analyzed in blood samples of aged-matched patients with ASD (peripheral blood, leukocytes, and PBMCs) or ADHD (peripheral blood), no significant difference in mtDNA-cn was observed between ASD patients and controls (p = 0.385), while a significant increase in mtDNA-cn was found between ADHD patients and controls (p = 0.033). Conclusion In this first meta-analysis of the evaluation of mtDNA-cn in ASD/ADHD, our results show elevated mtDNA-cn in ASD and ADHD, further emphasizing the implication of mitochondrial dysfunction in neurodevelopmental disorders. However, our results indicate that the mtDNA-cn in blood is not reflected in other tissues in ASD/ADHD, and the true relationship between blood-derived mtDNA-cn and ASD/ADHD remains to be defined in future studies. The importance of blood-cell compositions as confounders of blood-based mtDNA-cn measurement and the advantages of salivary mtDNA-cn should be considered in future studies. Moreover, the potential of mtDNA-cn as a biomarker for mitochondrial malfunction in neurodevelopmental disorders deserves further investigations.
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Affiliation(s)
- Ghada Al-Kafaji
- Department of Molecular Medicine and Al-Jawhara Centre for Molecular Medicine, Genetics, and Inherited Disorders, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain
| | - Haitham Ali Jahrami
- Department of Psychiatry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain
- Government Hospital, Manama, Bahrain
| | - Materah Salem Alwehaidah
- Department of Medical Laboratory, Faculty of Allied Health, Kuwait University, Kuwait City, Kuwait
| | | | - Mariwan Husni
- Department of Psychiatry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain
- Department of Psychiatry, Northern Ontarion School of Medicine University, Thunder Bay, ON, Canada
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Michelson J, Rausser S, Peng A, Yu T, Sturm G, Trumpff C, Kaufman BA, Rai AJ, Picard M. MitoQuicLy: A high-throughput method for quantifying cell-free DNA from human plasma, serum, and saliva. Mitochondrion 2023; 71:26-39. [PMID: 37172669 PMCID: PMC10524316 DOI: 10.1016/j.mito.2023.05.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 04/12/2023] [Accepted: 05/07/2023] [Indexed: 05/15/2023]
Abstract
Circulating cell-free mitochondrial DNA (cf-mtDNA) is an emerging biomarker of psychobiological stress and disease which predicts mortality and is associated with various disease states. To evaluate the contribution of cf-mtDNA to health and disease states, standardized high-throughput procedures are needed to quantify cf-mtDNA in relevant biofluids. Here, we describe MitoQuicLy: Mitochondrial DNA Quantification in cell-free samples by Lysis. We demonstrate high agreement between MitoQuicLy and the commonly used column-based method, although MitoQuicLy is faster, cheaper, and requires a smaller input sample volume. Using 10 µL of input volume with MitoQuicLy, we quantify cf-mtDNA levels from three commonly used plasma tube types, two serum tube types, and saliva. We detect, as expected, significant inter-individual differences in cf-mtDNA across different biofluids. However, cf-mtDNA levels between concurrently collected plasma, serum, and saliva from the same individual differ on average by up to two orders of magnitude and are poorly correlated with one another, pointing to different cf-mtDNA biology or regulation between commonly used biofluids in clinical and research settings. Moreover, in a small sample of healthy women and men (n = 34), we show that blood and saliva cf-mtDNAs correlate with clinical biomarkers differently depending on the sample used. The biological divergences revealed between biofluids, together with the lysis-based, cost-effective, and scalable MitoQuicLy protocol for biofluid cf-mtDNA quantification, provide a foundation to examine the biological origin and significance of cf-mtDNA to human health.
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Affiliation(s)
- Jeremy Michelson
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Shannon Rausser
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Amanda Peng
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Temmie Yu
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Gabriel Sturm
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Caroline Trumpff
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Brett A Kaufman
- Center for Metabolism and Mitochondrial Medicine and the Vascular Medicine Institute, Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, USA
| | - Alex J Rai
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA; Department of Neurology, H. Houston Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA.
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Smith AR, Hinojosa Briseño A, Picard M, Cardenas A. The prenatal environment and its influence on maternal and child mitochondrial DNA copy number and methylation: A review of the literature. ENVIRONMENTAL RESEARCH 2023; 227:115798. [PMID: 37001851 PMCID: PMC10164709 DOI: 10.1016/j.envres.2023.115798] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 03/13/2023] [Accepted: 03/28/2023] [Indexed: 05/08/2023]
Abstract
Mitochondrial DNA (mtDNA) is sensitive to environmental stressors and associated with human health. We reviewed epidemiological literature examining associations between prenatal environmental, dietary, and social exposures and alterations in maternal/child mtDNA copy number (mtDNAcn) and mtDNA methylation. Evidence exists that prenatal maternal exposures are associated with alterations in mtDNAcn for air pollution, chemicals (e.g. metals), cigarette smoke, human immunodeficiency virus (HIV) infection and treatment. Evidence for their associations with mtDNA methylation was limited. Given its potential implications as a disease pathway biomarker, studies with sufficient biological specificity should examine the long-term implications of prenatal and early-life mtDNA alterations in response to prenatal exposures.
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Affiliation(s)
- Anna R Smith
- Department of Epidemiology and Population Health, Stanford Medicine, Stanford, CA, USA
| | - Alejandra Hinojosa Briseño
- Department of Environmental and Occupational Health, California State University, Northridge, Northridge, CA, USA
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York City, New York, USA
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford Medicine, Stanford, CA, USA.
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27
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Paz-Sabillón M, Torres-Sánchez L, Piña-Pozas M, Del Razo LM, Quintanilla-Vega B. Prenatal Exposure to Potentially Toxic Metals and Their Effects on Genetic Material in Offspring: a Systematic Review. Biol Trace Elem Res 2023; 201:2125-2150. [PMID: 35713810 DOI: 10.1007/s12011-022-03323-2] [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: 04/12/2022] [Accepted: 06/08/2022] [Indexed: 11/02/2022]
Abstract
In recent years, the background level of environmental pollutants, including metals, has increased. Pollutant exposure during the earliest stages of life may determine chronic disease susceptibility in adulthood because of genetic or epigenetic changes. The objective of this review was to identify the association between prenatal and early postnatal exposure to potentially toxic metals (PTMs) and their adverse effects on the genetic material of offspring. A systematic review was carried out following the Cochrane methodology in four databases: PubMed, Scopus, Web of Science, and the Cochrane Library. Eligible papers were those conducted in humans and published in English between 2010/01/01 and 2021/04/30. A total of 57 articles were included, most of which evaluated prenatal exposure. Most commonly evaluated PTMs were As, Cd, and Pb. Main adverse effects on the genetic material of newborns associated with PTM prenatal exposure were alterations in telomere length, gene or protein expression, mitochondrial DNA content, metabolomics, DNA damage, and epigenetic modifications. Many of these effects were sex-specific, being predominant in boys. One article reported a synergistic interaction between As and Hg, and two articles observed antagonistic interactions between PTMs and essential metals, such as Cu, Se, and Zn. The findings in this review highlight that the problem of PTM exposure persists, affecting the most susceptible populations, such as newborns. Some of these associations were observed at low concentrations of PTMs. Most of the studies have focused on single exposures; however, three interactions between essential and nonessential metals were observed, highlighting that metal mixtures need more attention.
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Affiliation(s)
- Marvin Paz-Sabillón
- Department of Toxicology, Cinvestav, Ave. IPN 2508, San Pedro Zacatenco, 07360, Mexico City, Mexico
| | - Luisa Torres-Sánchez
- National Institute of Public Health, Ave. Universidad 655, Santa María Ahuacatitlán, 62100, Cuernavaca, Morelos, Mexico
| | - Maricela Piña-Pozas
- National Institute of Public Health, Ave. Universidad 655, Santa María Ahuacatitlán, 62100, Cuernavaca, Morelos, Mexico
| | - Luz M Del Razo
- Department of Toxicology, Cinvestav, Ave. IPN 2508, San Pedro Zacatenco, 07360, Mexico City, Mexico
| | - Betzabet Quintanilla-Vega
- Department of Toxicology, Cinvestav, Ave. IPN 2508, San Pedro Zacatenco, 07360, Mexico City, Mexico.
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28
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Pereira SL, Grossmann D, Delcambre S, Hermann A, Grünewald A. Novel insights into Parkin-mediated mitochondrial dysfunction and neuroinflammation in Parkinson's disease. Curr Opin Neurobiol 2023; 80:102720. [PMID: 37023495 DOI: 10.1016/j.conb.2023.102720] [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: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 04/08/2023]
Abstract
Mutations in PRKN cause the second most common genetic form of Parkinson's disease (PD)-a debilitating movement disorder that is on the rise due to population aging in the industrial world. PRKN codes for an E3 ubiquitin ligase that has been well established as a key regulator of mitophagy. Together with PTEN-induced kinase 1 (PINK1), Parkin controls the lysosomal degradation of depolarized mitochondria. But Parkin's functions go well beyond mitochondrial clearance: the versatile protein is involved in mitochondria-derived vesicle formation, cellular metabolism, calcium homeostasis, mitochondrial DNA maintenance, mitochondrial biogenesis, and apoptosis induction. Moreover, Parkin can act as a modulator of different inflammatory pathways. In the current review, we summarize the latest literature concerning the diverse roles of Parkin in maintaining a healthy mitochondrial pool. Moreover, we discuss how these recent discoveries may translate into personalized therapeutic approaches not only for PRKN-PD patients but also for a subset of idiopathic cases.
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Affiliation(s)
- Sandro L Pereira
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Dajana Grossmann
- Translational Neurodegeneration Section "Albrecht Kossel", Department of Neurology, University Medical Center Rostock, University of Rostock, Rostock, Germany
| | - Sylvie Delcambre
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Andreas Hermann
- Translational Neurodegeneration Section "Albrecht Kossel", Department of Neurology, University Medical Center Rostock, University of Rostock, Rostock, Germany; Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock/Greifswald, 18147 Rostock, Germany; Center for Transdisciplinary Neurosciences Rostock (CTNR), University Medical Center Rostock, University of Rostock, 18147 Rostock, Germany
| | - Anne Grünewald
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg; Institute of Neurogenetics, University of Lübeck, Lübeck, Germany.
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29
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Carvalho C, Moreira PI. Metabolic defects shared by Alzheimer's disease and diabetes: A focus on mitochondria. Curr Opin Neurobiol 2023; 79:102694. [PMID: 36842275 DOI: 10.1016/j.conb.2023.102694] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/18/2023] [Accepted: 01/24/2023] [Indexed: 02/26/2023]
Abstract
Type 2 diabetes (T2D) and Alzheimer's disease (AD) are two global epidemics that share several metabolic defects, such as insulin resistance, impaired glucose metabolism, and mitochondrial defects. Importantly, strong evidence demonstrates that T2D significantly increases the risk of cognitive decline and dementia, particularly AD. Here, we provide an overview of the metabolic defects that characterize and link both pathologies putting the focus on mitochondria. The biomarker potential of mitochondrial components and the therapeutic potential of some drugs that target and modulate mitochondria are also briefly discussed.
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Affiliation(s)
- Cristina Carvalho
- CNC - Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal; CIBB - Center for Innovation in Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal; IIIUC - Institute for Interdisciplinary Research, University of Coimbra, Coimbra, Portugal.
| | - Paula I Moreira
- CNC - Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal; CIBB - Center for Innovation in Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal; Institute of Physiology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
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30
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Monzel AS, Enríquez JA, Picard M. Multifaceted mitochondria: moving mitochondrial science beyond function and dysfunction. Nat Metab 2023; 5:546-562. [PMID: 37100996 PMCID: PMC10427836 DOI: 10.1038/s42255-023-00783-1] [Citation(s) in RCA: 79] [Impact Index Per Article: 79.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 03/10/2023] [Indexed: 04/28/2023]
Abstract
Mitochondria have cell-type specific phenotypes, perform dozens of interconnected functions and undergo dynamic and often reversible physiological recalibrations. Given their multifunctional and malleable nature, the frequently used terms 'mitochondrial function' and 'mitochondrial dysfunction' are misleading misnomers that fail to capture the complexity of mitochondrial biology. To increase the conceptual and experimental specificity in mitochondrial science, we propose a terminology system that distinguishes between (1) cell-dependent properties, (2) molecular features, (3) activities, (4) functions and (5) behaviours. A hierarchical terminology system that accurately captures the multifaceted nature of mitochondria will achieve three important outcomes. It will convey a more holistic picture of mitochondria as we teach the next generations of mitochondrial biologists, maximize progress in the rapidly expanding field of mitochondrial science, and also facilitate synergy with other disciplines. Improving specificity in the language around mitochondrial science is a step towards refining our understanding of the mechanisms by which this unique family of organelles contributes to cellular and organismal health.
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Affiliation(s)
- Anna S Monzel
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - José Antonio Enríquez
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Neurology, H. Houston Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, USA.
- New York State Psychiatric Institute, New York, NY, USA.
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31
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Ryan KM, Doody E, McLoughlin DM. Whole blood mitochondrial DNA copy number in depression and response to electroconvulsive therapy. Prog Neuropsychopharmacol Biol Psychiatry 2023; 121:110656. [PMID: 36216200 DOI: 10.1016/j.pnpbp.2022.110656] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/28/2022] [Accepted: 10/03/2022] [Indexed: 11/05/2022]
Abstract
Mitochondrial dysfunction may play a role in various psychiatric conditions. Mitochondrial DNA copy number (mtDNAcn), the ratio of mitochondrial DNA to nuclear DNA, represents an attractive marker of mitochondrial health that is easily measured from stored DNA samples, and has been shown to be altered in depression. In this study, we measured mtDNAcn in whole blood samples from medicated patients with depression (n = 100) compared to healthy controls (n = 89) and determined the relationship between mtDNAcn and depression severity and the therapeutic response to electroconvulsive therapy (ECT). We also explored the relationship between mtDNAcn and telomere length and inflammatory markers. Our results show that mtDNAcn was significantly elevated in blood from patients with depression when compared to control samples, and this result survived statistical adjustment for potential confounders (p = 0.002). mtDNAcn was significantly elevated in blood from subgroups of patients with non-psychotic or unipolar depression. There was no difference in mtDNAcn noted in subgroups of ECT remitters/non-remitters or responders/non-responders. Moreover, mtDNAcn was not associated with depression severity, telomere length, or circulating inflammatory marker concentrations. Overall, our results show that mtDNAcn is elevated in blood from patients with depression, though whether this translates to mitochondrial function is unknown. Further work is required to clarify the contribution of mitochondria and mtDNA to the pathophysiology of depression and the therapeutic response to antidepressant treatments.
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Affiliation(s)
- Karen M Ryan
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland; Department of Psychiatry, St. Patrick's University Hospital, Trinity College Dublin, James Street, Dublin 8, Ireland
| | - Eimear Doody
- Department of Psychiatry, St. Patrick's University Hospital, Trinity College Dublin, James Street, Dublin 8, Ireland
| | - Declan M McLoughlin
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland; Department of Psychiatry, St. Patrick's University Hospital, Trinity College Dublin, James Street, Dublin 8, Ireland.
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32
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Tolle I, Tiranti V, Prigione A. Modeling mitochondrial DNA diseases: from base editing to pluripotent stem-cell-derived organoids. EMBO Rep 2023; 24:e55678. [PMID: 36876467 PMCID: PMC10074100 DOI: 10.15252/embr.202255678] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 01/12/2023] [Accepted: 02/15/2023] [Indexed: 03/07/2023] Open
Abstract
Mitochondrial DNA (mtDNA) diseases are multi-systemic disorders caused by mutations affecting a fraction or the entirety of mtDNA copies. Currently, there are no approved therapies for the majority of mtDNA diseases. Challenges associated with engineering mtDNA have in fact hindered the study of mtDNA defects. Despite these difficulties, it has been possible to develop valuable cellular and animal models of mtDNA diseases. Here, we describe recent advances in base editing of mtDNA and the generation of three-dimensional organoids from patient-derived human-induced pluripotent stem cells (iPSCs). Together with already available modeling tools, the combination of these novel technologies could allow determining the impact of specific mtDNA mutations in distinct human cell types and might help uncover how mtDNA mutation load segregates during tissue organization. iPSC-derived organoids could also represent a platform for the identification of treatment strategies and for probing the in vitro effectiveness of mtDNA gene therapies. These studies have the potential to increase our mechanistic understanding of mtDNA diseases and may open the way to highly needed and personalized therapeutic interventions.
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Affiliation(s)
- Isabella Tolle
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Valeria Tiranti
- Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Alessandro Prigione
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
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33
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Kupsco A, Bloomquist TR, Hu H, Reddam A, Tang D, Goldsmith J, Rundle AG, Baccarelli AA, Herbstman JB. Mitochondrial DNA copy number dynamics and associations with the prenatal environment from birth through adolescence in a population of Dominican and African American children. Mitochondrion 2023; 69:140-146. [PMID: 36804466 PMCID: PMC10006332 DOI: 10.1016/j.mito.2023.02.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/17/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023]
Abstract
Mitochondrial DNA copy number (mtDNAcn) dynamics throughout childhood are poorly understood. We profiled mtDNAcn from birth through adolescence and evaluated how the prenatal environment influences mtDNAcn across childhood. Data were collected from children from New York City followed through 18 years. Using duplexed qRT-PCR, we quantified mtDNAcn relative to nuclear DNA in blood collected from the umbilical cord (n = 450), children aged 5-7 (n = 510), and adolescents aged 15-18 (n = 278). We examined mtDNAcn across childhood with linear mixed-effects models (LMM). Relative mtDNAcn was lowest at birth (mean ± SD: 0.67 ± 0.35) and increased in childhood (1.24 ± 0.50) then slightly declined in adolescence (1.13 ± 0.44). We observed no differences in mtDNAcn by sex or race/ethnicity. mtDNAcn was positively associated with prenatal environmental tobacco smoke exposure (0.077 [ 0.01, 0.14] change in relative mtDNAcn) but negatively associated with maternal completion of high school (-0.066 [-0.13, 0.00]), with the receipt of public assistance at birth (-0.074 [-0.14, -0.01]), and when mother born outside the U.S (-0.061 [-0.13, 0.003]). Infant birth outcomes were not associated with mtDNAcn. MtDNAcn levels were dynamic through childhood and associated with some prenatal factors, underscoring the need for the investigation of longitudinal mtDNAcn for human health research.
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Affiliation(s)
- Allison Kupsco
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States.
| | - Tessa R Bloomquist
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Heng Hu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Aalekhya Reddam
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Deliang Tang
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Jeff Goldsmith
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Andrew G Rundle
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Julie B Herbstman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
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34
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Wang J, Liang H, Huang R, Weng X, Zheng L, Wang Y, Zheng X, Gu Z, Chen F, Shao J, Geng Z, Pearson ER, Weng J, Yang W, Xu T, Zhou K. Higher mitochondrial DNA copy number is associated with metformin-induced weight loss. COMMUNICATIONS MEDICINE 2023; 3:29. [PMID: 36806755 PMCID: PMC9938854 DOI: 10.1038/s43856-023-00258-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 02/09/2023] [Indexed: 02/20/2023] Open
Abstract
BACKGROUND Considerable variability exists in response to metformin with few effective biomarkers to guide the treatment. Here we evaluated whether whole blood derived mitochondrial DNA copy number (mtDNA-CN) is a biomarker of metformin response as measured by glucose reduction or weight loss. METHODS Using data from the trial of Metformin (n = 304) and AcaRbose (n = 300) in Chinese as the initial Hypoglycaemic treatment (MARCH), we examined the association between mtDNA-CN and two metformin response outcomes of HbA1c reduction and weight loss. The acarbose arm was used as a comparator group. Whole blood mtDNA-CN was estimated by deep whole genome sequencing with adjustments for confounders. Multiple linear regression and repeated measurement analyses were used to evaluate the association between mtDNA-CN and drug response outcomes. RESULTS Here we show that glucose reduction is not significantly associated with mtDNA-CN and in either treatment arm. In the metformin arm, each increase of 1 SD in mtDNA-CN is significantly (P = 0.006) associated with a 0.43 kg more weight loss. Repeated measurement analysis shows that after 16 weeks of metformin monotherapy, patients in the top tertile of mtDNA-CN consistently lost 1.21 kg more weight than those in the bottom tertile (P < 0.001). In comparison, mtDNA-CN is not significantly associated with acarbose-induced weight loss. CONCLUSIONS Patients with higher mtDNA-CN are likely to lose more weight upon metformin treatment, suggesting mtDNA-CN as a potential novel biomarker for more effective weight management in type 2 diabetes.
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Affiliation(s)
- Jing Wang
- grid.410726.60000 0004 1797 8419College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Hua Liang
- grid.12981.330000 0001 2360 039XDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital, Sun Yat-sen University, and Guangdong Provincial Key Laboratory of Diabetology, Guangzhou, 510630 Guangdong, China ,grid.284723.80000 0000 8877 7471Department of Endocrinology and Metabolism, Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), No. 1 Jiazi Road, Lunjiao Street, Foshan, 528300 P. R. China
| | - Rong Huang
- grid.452222.10000 0004 4902 7837Medical Science and Technology Innovation Center, Jinan Central Hospital, Shandong First Medical University, Jinan, 250013 Shandong China
| | - Xiong Weng
- grid.8241.f0000 0004 0397 2876Division of Systems Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Li Zheng
- grid.418856.60000 0004 1792 5640Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - You Wang
- grid.418856.60000 0004 1792 5640Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Xueying Zheng
- grid.59053.3a0000000121679639Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001 China
| | - Zhenglong Gu
- Center for Mitochondrial Genetics and Health, Greater Bay Area Institute of Precision Medicine, Guangzhou, China ,grid.8547.e0000 0001 0125 2443School of Life Sciences, Fudan University, Shanghai, China
| | - Fei Chen
- grid.410726.60000 0004 1797 8419College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jian Shao
- grid.410726.60000 0004 1797 8419College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Zhaoxu Geng
- grid.418856.60000 0004 1792 5640Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Ewan R. Pearson
- grid.8241.f0000 0004 0397 2876Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Jianping Weng
- grid.59053.3a0000000121679639Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001 China
| | - Wenying Yang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, 100029, China.
| | - Tao Xu
- Institute of Biophysics, Chinese Academy of Sciences, Beijing, China. .,Guangzhou Laboratory, Guangzhou, China.
| | - Kaixin Zhou
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
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35
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Michelson J, Rausser S, Peng A, Yu T, Sturm G, Trumpff C, Kaufman BA, Rai AJ, Picard M. MitoQuicLy: a high-throughput method for quantifying cell-free DNA from human plasma, serum, and saliva. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.04.522744. [PMID: 36711938 PMCID: PMC9882007 DOI: 10.1101/2023.01.04.522744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Circulating cell-free mitochondrial DNA (cf-mtDNA) is an emerging biomarker of psychobiological stress and disease which predicts mortality and is associated with various disease states. To evaluate the contribution of cf-mtDNA to health and disease states, standardized high-throughput procedures are needed to quantify cf-mtDNA in relevant biofluids. Here, we describe MitoQuicLy: Mito chondrial DNA Qu antification in c ell-free samples by Ly sis. We demonstrate high agreement between MitoQuicLy and the commonly used column-based method, although MitoQuicLy is faster, cheaper, and requires a smaller input sample volume. Using 10 µL of input volume with MitoQuicLy, we quantify cf-mtDNA levels from three commonly used plasma tube types, two serum tube types, and saliva. We detect, as expected, significant inter-individual differences in cf-mtDNA across different biofluids. However, cf-mtDNA levels between concurrently collected plasma, serum, and saliva from the same individual differ on average by up to two orders of magnitude and are poorly correlated with one another, pointing to different cf-mtDNA biology or regulation between commonly used biofluids in clinical and research settings. Moreover, in a small sample of healthy women and men (n=34), we show that blood and saliva cf-mtDNAs correlate with clinical biomarkers differently depending on the sample used. The biological divergences revealed between biofluids, together with the lysis-based, cost-effective, and scalable MitoQuicLy protocol for biofluid cf-mtDNA quantification, provide a foundation to examine the biological origin and significance of cf-mtDNA to human health.
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Affiliation(s)
- Jeremy Michelson
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Shannon Rausser
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Amanda Peng
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Temmie Yu
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Gabriel Sturm
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California, USA
| | - Caroline Trumpff
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Brett A. Kaufman
- Center for Metabolism and Mitochondrial Medicine and the Vascular Medicine Institute, Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine
| | - Alex J. Rai
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA,Department of Neurology, H. Houston Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA,Corresponding author: 1051 Riverside Drive, Kolb 4, New York, NY 10032, United States; (646) 774-5026;
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36
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High-frequency and functional mitochondrial DNA mutations at the single-cell level. Proc Natl Acad Sci U S A 2023; 120:e2201518120. [PMID: 36577067 PMCID: PMC9910596 DOI: 10.1073/pnas.2201518120] [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: 12/29/2022] Open
Abstract
Decline in mitochondrial function underlies aging and age-related diseases, but the role of mitochondrial DNA (mtDNA) mutations in these processes remains elusive. To investigate patterns of mtDNA mutations, it is particularly important to quantify mtDNA mutations and their associated pathogenic effects at the single-cell level. However, existing single-cell mtDNA sequencing approaches remain inefficient due to high cost and low mtDNA on-target rates. In this study, we developed a cost-effective mtDNA targeted-sequencing protocol called single-cell sequencing by targeted amplification of multiplex probes (scSTAMP) and experimentally validated its reliability. We then applied our method to assess single-cell mtDNA mutations in 768 B lymphocytes and 768 monocytes from a 76-y-old female. Across 632 B lymphocyte and 617 monocytes with medium mtDNA coverage over >100×, our results indicated that over 50% of cells carried at least one mtDNA mutation with variant allele frequencies (VAFs) over 20%, and that cells carried an average of 0.658 and 0.712 such mutation for B lymphocytes and monocytes, respectively. Surprisingly, more than 20% of the observed mutations had VAFs of over 90% in either cell population. In addition, over 60% of the mutations were in protein-coding genes, of which over 70% were nonsynonymous, and more than 50% of the nonsynonymous mutations were predicted to be highly pathogenic. Interestingly, about 80% of the observed mutations were singletons in the respective cell populations. Our results revealed mtDNA mutations with functional significance might be prevalent at advanced age, calling further investigation on age-related mtDNA mutation dynamics at the single-cell level.
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37
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Fu M, Wang C, Hong S, Guan X, Meng H, Feng Y, Xiao Y, Zhou Y, Liu C, Zhong G, You Y, Wu T, Yang H, Zhang X, He M, Guo H. Multiple metals exposure and blood mitochondrial DNA copy number: A cross-sectional study from the Dongfeng-Tongji cohort. ENVIRONMENTAL RESEARCH 2023; 216:114509. [PMID: 36208786 DOI: 10.1016/j.envres.2022.114509] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 09/25/2022] [Accepted: 10/02/2022] [Indexed: 06/16/2023]
Abstract
OBJECTIVE Mitochondria are essential organelles that execute fundamental biological processes, while mitochondrial DNA is vulnerable to environmental insults. The aim of this study was to investigate the individual and mixture effect of plasma metals on blood mitochondria DNA copy number (mtDNAcn). METHODS This study involved 1399 randomly selected subcohort participants from the Dongfeng-Tongji cohort. The blood mtDNAcn and plasma levels of 23 metals were determined by using quantitative real-time polymerase chain reaction (qPCR) and inductively coupled plasma mass spectrometer (ICP-MS), respectively. The multiple linear regression was used to explore the association between each metal and mtDNAcn, and the LASSO penalized regression was performed to select the most significant metals. We also used the quantile g-computation analysis to assess the mixture effect of multiple metals. RESULTS Based on multiple linear regression models, each 1% increase in plasma concentration of copper (Cu), rubidium (Rb), and titanium (Ti) was associated with a separate 0.16% [β(95% CI) = 0.158 (0.066, 0.249), P = 0.001], 0.20% [β(95% CI) = 0.196 (0.073, 0.318), P = 0.002], and 0.25% [β(95% CI) = 0.245 (0.081, 0.409), P = 0.003] increase in blood mtDNAcn. The LASSO regression also confirmed Cu, Rb, and Ti as significant predictors for mtDNAcn. There was a significant mixture effect of multiple metals on increasing mtDNAcn among the elder participants (aged ≥65), with an approximately 11% increase in mtDNAcn for each quartile increase in all metal concentrations [β(95% CI) = 0.146 (0.048, 0.243), P = 0.004]. CONCLUSIONS Our results show that plasma Cu, Rb and Ti were associated with increased blood mtDNA, and we further revealed a significant mixture effect of all metals on mtDNAcn among elder population. These findings may provide a novel perspective on the effect of metals on mitochondrial dysfunction.
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Affiliation(s)
- Ming Fu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chenming Wang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiru Hong
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Guan
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hua Meng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yue Feng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Xiao
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhan Zhou
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chenliang Liu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guorong Zhong
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yingqian You
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianhao Wu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Handong Yang
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meian He
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huan Guo
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Nunn AVW, Guy GW, Brysch W, Bell JD. Understanding Long COVID; Mitochondrial Health and Adaptation-Old Pathways, New Problems. Biomedicines 2022; 10:3113. [PMID: 36551869 PMCID: PMC9775339 DOI: 10.3390/biomedicines10123113] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 11/28/2022] [Accepted: 11/30/2022] [Indexed: 12/04/2022] Open
Abstract
Many people infected with the SARS-CoV-2 suffer long-term symptoms, such as "brain fog", fatigue and clotting problems. Explanations for "long COVID" include immune imbalance, incomplete viral clearance and potentially, mitochondrial dysfunction. As conditions with sub-optimal mitochondrial function are associated with initial severity of the disease, their prior health could be key in resistance to long COVID and recovery. The SARs virus redirects host metabolism towards replication; in response, the host can metabolically react to control the virus. Resolution is normally achieved after viral clearance as the initial stress activates a hormetic negative feedback mechanism. It is therefore possible that, in some individuals with prior sub-optimal mitochondrial function, the virus can "tip" the host into a chronic inflammatory cycle. This might explain the main symptoms, including platelet dysfunction. Long COVID could thus be described as a virally induced chronic and self-perpetuating metabolically imbalanced non-resolving state characterised by mitochondrial dysfunction, where reactive oxygen species continually drive inflammation and a shift towards glycolysis. This would suggest that a sufferer's metabolism needs to be "tipped" back using a stimulus, such as physical activity, calorie restriction, or chemical compounds that mimic these by enhancing mitochondrial function, perhaps in combination with inhibitors that quell the inflammatory response.
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Affiliation(s)
- Alistair V. W. Nunn
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London W1W 6UW, UK
| | - Geoffrey W. Guy
- The Guy Foundation, Chedington Court, Beaminster, Dorset DT8 3HY, UK
| | | | - Jimmy D. Bell
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London W1W 6UW, UK
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Taylor HA, Finkel T, Gao Y, Ballinger SW, Campo R, Chen R, Chen SH, Davidson K, Iruela-Arispe ML, Jaquish C, LeBrasseur NK, Odden MC, Papanicolaou GJ, Picard M, Srinivas P, Tjurmina O, Wolz M, Galis ZS. Scientific opportunities in resilience research for cardiovascular health and wellness. Report from a National Heart, Lung, and Blood Institute workshop. FASEB J 2022; 36:e22639. [PMID: 36322029 PMCID: PMC9703084 DOI: 10.1096/fj.202201407r] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 10/14/2022] [Accepted: 10/21/2022] [Indexed: 11/07/2022]
Abstract
Exposure of biological systems to acute or chronic insults triggers a host of molecular and physiological responses to either tolerate, adapt, or fully restore homeostasis; these responses constitute the hallmarks of resilience. Given the many facets, dimensions, and discipline-specific focus, gaining a shared understanding of "resilience" has been identified as a priority for supporting advances in cardiovascular health. This report is based on the working definition: "Resilience is the ability of living systems to successfully maintain or return to homeostasis in response to physical, molecular, individual, social, societal, or environmental stressors or challenges," developed after considering many factors contributing to cardiovascular resilience through deliberations of multidisciplinary experts convened by the National Heart, Lung, and Blood Institute during a workshop entitled: "Enhancing Resilience for Cardiovascular Health and Wellness." Some of the main emerging themes that support the possibility of enhancing resilience for cardiovascular health include optimal energy management and substrate diversity, a robust immune system that safeguards tissue homeostasis, and social and community support. The report also highlights existing research challenges, along with immediate and long-term opportunities for resilience research. Certain immediate opportunities identified are based on leveraging existing high-dimensional data from longitudinal clinical studies to identify vascular resilience measures, create a 'resilience index,' and adopt a life-course approach. Long-term opportunities include developing quantitative cell/organ/system/community models to identify resilience factors and mechanisms at these various levels, designing experimental and clinical interventions that specifically assess resilience, adopting global sharing of resilience-related data, and cross-domain training of next-generation researchers in this field.
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Affiliation(s)
- Herman A. Taylor
- Cardiovascular Research Institute Morehouse School of Medicine, Atlanta, Georgia, USA
- Morehouse-Emory Cardiovascular Center for Health Equity, Atlanta, Georgia, USA
- Harvard Chan School of Public Health, Atlanta, Georgia, USA
- Emory School of Medicine, Atlanta, Georgia, USA
| | - Toren Finkel
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Yunling Gao
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Scott W. Ballinger
- University of Alabama Heersink School of Medicine, Birmingham, Alabama, USA
| | - Rebecca Campo
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Rong Chen
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Sema4, Stamford, Connecticut, USA
| | - Shu Hui Chen
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Karina Davidson
- Feinstein Institutes for Medical Research, Northwell Health, New York, New York, USA
| | | | - Cashell Jaquish
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | | | - George J. Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Martin Picard
- Columbia University Irving Medical Center, New York, New York, USA
- New York State Psychiatric Institute, New York, New York, USA
| | - Pothur Srinivas
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Olga Tjurmina
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Michael Wolz
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Zorina S. Galis
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
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Memon AA, Vats S, Sundquist J, Li Y, Sundquist K. Mitochondrial DNA Copy Number: Linking Diabetes and Cancer. Antioxid Redox Signal 2022; 37:1168-1190. [PMID: 36169625 DOI: 10.1089/ars.2022.0100] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Recent Advances: Various studies have suggested that mitochondrial DNA copy number (mtDNA-CN), a surrogate biomarker of mitochondrial dysfunction, is an easily quantifiable biomarker for chronic diseases, including diabetes and cancer. However, current knowledge is limited, and the results are controversial. This has been attributed mainly to methodology and study design. Critical Issues: The incidence of diabetes and cancer has increased significantly in recent years. Moreover, type 2 diabetes (T2D) has been shown to be a risk factor for cancer. mtDNA-CN has been associated with both T2D and cancer. However, it is not known whether mtDNA-CN plays any role in the association between T2D and cancer. Significance: In this review, we have discussed mtDNA-CN in diabetes and cancer, and reviewed the literature and methodology used in published studies so far. Based on the literature review, we have speculated how mtDNA-CN may act as a link between diabetes and cancer. Furthermore, we have provided some recommendations for reliable translation of mtDNA-CN as a biomarker. Future Directions: Further research is required to elucidate the role of mtDNA-CN in the association between T2D and cancer. If established, early lifestyle interventions, such as physical activity and diet control that improve mitochondrial function, may help preventing cancer in patients with T2D. Antioxid. Redox Signal. 37, 1168-1190.
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Affiliation(s)
- Ashfaque A Memon
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden
| | - Sakshi Vats
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden
| | - Jan Sundquist
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden
| | - Yanni Li
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden
| | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden
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Bobba-Alves N, Juster RP, Picard M. The energetic cost of allostasis and allostatic load. Psychoneuroendocrinology 2022; 146:105951. [PMID: 36302295 PMCID: PMC10082134 DOI: 10.1016/j.psyneuen.2022.105951] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 10/05/2022] [Accepted: 10/06/2022] [Indexed: 11/06/2022]
Abstract
Chronic psychosocial stress increases disease risk and mortality, but the underlying mechanisms remain largely unclear. Here we outline an energy-based model for the transduction of chronic stress into disease over time. The energetic model of allostatic load (EMAL) emphasizes the energetic cost of allostasis and allostatic load, where the "load" is the additional energetic burden required to support allostasis and stress-induced energy needs. Living organisms have a limited capacity to consume energy. Overconsumption of energy by allostatic brain-body processes leads to hypermetabolism, defined as excess energy expenditure above the organism's optimum. In turn, hypermetabolism accelerates physiological decline in cells, laboratory animals, and humans, and may drive biological aging. Therefore, we propose that the transition from adaptive allostasis to maladaptive allostatic states, allostatic load, and allostatic overload arises when the added energetic cost of stress competes with longevity-promoting growth, maintenance, and repair. Mechanistically, the energetic restriction of growth, maintenance and repair processes leads to the progressive wear-and-tear of molecular and organ systems. The proposed model makes testable predictions around the physiological, cellular, and sub-cellular energetic mechanisms that transduce chronic stress into disease risk and mortality. We also highlight new avenues to quantify allostatic load and its link to health across the lifespan, via the integration of systemic and cellular energy expenditure measurements together with classic allostatic load biomarkers.
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Affiliation(s)
- Natalia Bobba-Alves
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Robert-Paul Juster
- Center on Sex⁎Gender, Allostasis, and Resilience, Research Center of the Montreal Mental Health University Institute, Montreal, QC, Canada; Department of Psychiatry and Addiction, University of Montreal, Montreal, QC, Canada
| | - Martin Picard
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA; Department of Neurology, H. Houston Merritt Center and Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA.
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Environmental Chemical Exposures and Mitochondrial Dysfunction: a Review of Recent Literature. Curr Environ Health Rep 2022; 9:631-649. [PMID: 35902457 PMCID: PMC9729331 DOI: 10.1007/s40572-022-00371-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW Mitochondria play various roles that are important for cell function and survival; therefore, significant mitochondrial dysfunction may have chronic consequences that extend beyond the cell. Mitochondria are already susceptible to damage, which may be exacerbated by environmental exposures. Therefore, the aim of this review is to summarize the recent literature (2012-2022) looking at the effects of six ubiquitous classes of compounds on mitochondrial dysfunction in human populations. RECENT FINDINGS The literature suggests that there are a number of biomarkers that are commonly used to identify mitochondrial dysfunction, each with certain advantages and limitations. Classes of environmental toxicants such as polycyclic aromatic hydrocarbons, air pollutants, heavy metals, endocrine-disrupting compounds, pesticides, and nanomaterials can damage the mitochondria in varied ways, with changes in mtDNA copy number and measures of oxidative damage the most commonly measured in human populations. Other significant biomarkers include changes in mitochondrial membrane potential, calcium levels, and ATP levels. This review identifies the biomarkers that are commonly used to characterize mitochondrial dysfunction but suggests that emerging mitochondrial biomarkers, such as cell-free mitochondria and blood cardiolipin levels, may provide greater insight into the impacts of exposures on mitochondrial function. This review identifies that the mtDNA copy number and measures of oxidative damage are commonly used to characterize mitochondrial dysfunction, but suggests using novel approaches in addition to well-characterized ones to create standardized protocols. We identified a dearth of studies on mitochondrial dysfunction in human populations exposed to metals, endocrine-disrupting chemicals, pesticides, and nanoparticles as a gap in knowledge that needs attention.
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Analysis of cellular and cell free mitochondrial DNA content and reactive oxygen species levels in maternal blood during normal pregnancy: a pilot study. BMC Pregnancy Childbirth 2022; 22:845. [DOI: 10.1186/s12884-022-05156-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 10/26/2022] [Indexed: 11/17/2022] Open
Abstract
Abstract
Background
Alterations in mitochondrial signatures such as mitochondrial DNA (mtDNA) content in maternal blood have been linked to pregnancy-related complications. However, changes in maternal mtDNA content, their distribution and associated signaling during normal pregnancies are not clear; which could suggest their physiological role in maternal adaptation to pregnancy related changes and a reference threshold. The aim of this study: to assess the distribution of mtDNA in peripheral blood and their association with circulatory ROS levels across different trimesters of healthy pregnancy.
Methods
In this pilot cross sectional study, blood samples of normal pregnant women from each trimester (total = 60) and age-matched non-pregnant (NP) women as control group (n = 20) were analyzed for a) the relative distribution of mtDNA content in cellular and cell free (plasma) fractions using relative quantitative polymerase chain reaction (qPCR) and b) the levels of circulating reactive oxygen species (ROS) by measurement of plasma H2O2. The results were compared between pregnant and NP groups and within trimesters for significant differences, and were also analyzed for their correlation between groups using statistical methods.
Results
While, we observed a significant decline in cellular mtDNA; plasma mtDNA was significant increased across all trimesters compared to NP. However, from comparisons within trimesters; only cellular mtDNA content in 3rd trimester was significantly reduced compared to 1st trimester, and plasma mtDNA did not differ significantly among different trimesters. A significantly higher level of plasma H2O2 was also observed during 3rd trimester compared to NP and to 1st trimester. Correlation analysis showed that, while cellular mtDNA content was negatively correlated to plasma mtDNA and to plasma H2O2 levels; plasma mtDNA was positively correlated with plasma H2O2 content.
Conclusions
This study suggested that normal pregnancy is associated with an opposing trend of reduced cellular mtDNA with increased circulatory mtDNA and H2O2 levels, which may contribute to maternal adaptation, required during different stages of pregnancy. Estimation of mtDNA distribution and ROS level in maternal blood could show mitochondrial functionality during normal pregnancy, and could be exploited to identify their prognostic/ diagnostic potential in pregnancy complications.
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Sundquist K, Sundquist J, Wang X, Palmer K, Memon AA. Baseline mitochondrial DNA copy number and heart failure incidence and its role in overall and heart failure mortality in middle-aged women. Front Cardiovasc Med 2022; 9:1012403. [PMID: 36440036 PMCID: PMC9685522 DOI: 10.3389/fcvm.2022.1012403] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 10/24/2022] [Indexed: 01/12/2024] Open
Abstract
Heart failure (HF) is a leading cause of death in both men and women. However, risk factors seem to differ for men and women and significant gaps in sex-specific knowledge exist. Mitochondria are critical for cardiomyocytes and in this study, we investigated the role of baseline mitochondrial DNA copy number (mtDNA-CN) in HF incidence in middle-aged women and its possible role in the association between myocardial infarction (MI) and HF. Finally, we also investigated whether baseline mtDNA-CN was associated with overall and HF mortality. Baseline levels of mtDNA-CN were quantified by droplet digital PCR in a population-based follow-up study of middle-aged (50-59 years) Swedish women (n = 2,508). The median follow-up period was 17 years. Levels of mtDNA-CN were associated with age, BMI, alcohol, smoking, education, physical activity and lipid biomarkers. Multivariable Cox regression analysis adjusted for potential confounders showed that each standard deviation decrease of baseline mtDNA-CN was associated with higher incidence of HF (HR = 1.34; 95% CI=1.11-1.63). Similar results were obtained when mtDNA-CN levels were categorized into quartiles with lowest vs. highest quartile showing the highest risk of HF incidence (HR = 2.04 95% CI=1.14; 3.63). We could not detect any role of mtDNA-CN in the association between MI and HF incidence. Lower baseline mtDNA-CN levels were associated with both overall (HR = 1.27; 95% CI=1.10-1.46) and HF mortality (HR = 1.93; 95% CI=1.04-3.60); however, in multivariable analysis adjusted for potential confounders, the higher risks of HF mortality were no longer significant (HR=1.57; 95% CI=0.85-2.90). In conclusion, low baseline mtDNA-CN is an easily quantifiable molecular risk factor for HF incidence and may be a risk factor for overall and HF-related mortality.
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Affiliation(s)
| | | | | | | | - Ashfaque A. Memon
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden
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Harerimana NV, Paliwali D, Romero-Molina C, Bennett DA, Pa J, Goate A, Swerdlow RH, Andrews SJ. The role of mitochondrial genome abundance in Alzheimer's disease. Alzheimers Dement 2022; 19:2069-2083. [PMID: 36224040 DOI: 10.1002/alz.12812] [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: 12/12/1912] [Revised: 12/12/1912] [Accepted: 12/12/1912] [Indexed: 11/05/2022]
Abstract
Mitochondrial dysfunction is an early and prominent feature of Alzheimer's disease (AD), with impaired energy metabolism preceding the onset of clinical symptoms. Here we propose an update to the mitochondrial dysfunction hypothesis of AD based on recent results examining the role of mitochondrial genome abundance in AD. In a large post mortem study, we show that lower brain mitochondrial genome abundance is associated with a greater odds of AD neuropathological change and worse cognitive performance. We hypothesize that lower mitochondrial genome abundance impairs mitochondrial function by reducing mitochondrial bioenergetics, thereby impacting neuronal and glial cell function. However, it remains to be determined if mitochondrial dysfunction causes, mediates, or is a by-product of AD pathogenesis. Additional support for this hypothesis will be generated by linking peripheral blood mitochondrial genome abundance to AD and establishing clinical trials of compounds that upregulate total mitochondrial genome abundance or boost mitochondrial mass.
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Affiliation(s)
- Nadia V Harerimana
- Ronald M. Loeb Center for Alzheimer's Disease, Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Devashi Paliwali
- Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, Australian Capital Territory, Australia
| | - Carmen Romero-Molina
- Ronald M. Loeb Center for Alzheimer's Disease, Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Judy Pa
- Department of Neurosciences, Alzheimer's Disease Cooperative Study (ADCS), University of California, San Diego, California, USA
| | - Alison Goate
- Ronald M. Loeb Center for Alzheimer's Disease, Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Russell H Swerdlow
- University of Kansas Alzheimer's Disease Research Center, Kansas City, Kansas, USA
| | - Shea J Andrews
- Ronald M. Loeb Center for Alzheimer's Disease, Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California, USA
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LE G, M P, MA M, KE B, MP V, JM R, C B, S E, PD W. Prospective association between maternal allostatic load during pregnancy and child mitochondrial content and bioenergetic capacity. Psychoneuroendocrinology 2022; 144:105868. [PMID: 35853381 PMCID: PMC9706402 DOI: 10.1016/j.psyneuen.2022.105868] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 06/06/2022] [Accepted: 07/11/2022] [Indexed: 12/20/2022]
Abstract
BACKGROUND Mitochondria are multifunctional energy-producing and signaling organelles that support life and contribute to stress adaptation. There is a growing understanding of the dynamic relationship between stress exposure and mitochondrial biology; however, the influence of stress on key domains of mitochondrial biology during early-life, particularly the earliest phases of intra-uterine/prenatal period remains largely unknown. Thus, the goal of this study was to examine the impact of fetal exposure to stress (modeled as the biological construct allostatic load) upon mitochondrial biology in early childhood. METHODS In n = 30 children (range: 3.5-6 years, 53% male), we quantified mitochondrial content via citrate synthase (CS) activity and mtDNA copy number (mtDNAcn), and measured mitochondrial bioenergetic capacity via respiratory chain enzyme activities (complexes I (CI), II (CII), and IV (CIV)) in platelet-depleted peripheral blood mononuclear cells (PBMCs). In a cohort of healthy pregnant women, maternal allostatic load was operationalized as a latent variable (sum of z-scores) representing an aggregation of early-, mid- and late-gestation measures of neuroendocrine (cortisol), immune (interleukin-6, C-reactive protein), metabolic (homeostasis model assessment of insulin resistance, free fatty acids), and cardiovascular (aggregate systolic and diastolic blood pressure) systems, as well as an anthropometric indicator (pre-pregnancy body mass index [BMI]). RESULTS An interquartile increase in maternal allostatic load during pregnancy was associated with higher mitochondrial content (24% and 15% higher CS and mtDNAcn), and a higher mitochondrial bioenergetic capacity (16%, 23%, and 25% higher CI, CII and CIV enzymatic activities) in child leukocytes. The positive association between maternal allostatic load during pregnancy and child mitochondrial content and bioenergetic capacity remained significant after accounting for the effects of key pre- and post-natal maternal and child covariates (p's < 0.05, except CI p = 0.073). CONCLUSION We report evidence that prenatal biological stress exposure, modeled as allostatic load, was associated with elevated child mitochondrial content and bioenergetic capacity in early childhood. This higher mitochondrial content and bioenergetic capacity (per leukocyte) may reflect increased energetic demands at the immune or organism level, and thus contribute to wear-and-tear and pathophysiology, and/or programmed pro-inflammatory phenotypes. These findings provide potential mechanistic insight into the cellular processes underlying developmental programming, and support the potential role that changes in mitochondrial content and bioenergetic functional capacity may play in altering life-long susceptibility for health and disease.
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Affiliation(s)
- Gyllenhammer LE
- Development, Health and Disease Research Program, University of California, School of Medicine, Irvine, CA, USA,Department of Pediatrics, University of California, School of Medicine, Irvine, CA, USA
| | - Picard M
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA,Department of Neurology, Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - McGill MA
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Boyle KE
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.,Lifecourse Epidemiology of Adiposity and Diabetes Center, Aurora, Colorado, USA
| | - Vawter MP
- Department of Psychiatry and Human Behavior, University of California, School of Medicine, Irvine, CA, USA
| | - Rasmussen JM
- Development, Health and Disease Research Program, University of California, School of Medicine, Irvine, CA, USA,Department of Pediatrics, University of California, School of Medicine, Irvine, CA, USA
| | - Buss C
- Development, Health and Disease Research Program, University of California, School of Medicine, Irvine, CA, USA,Department of Pediatrics, University of California, School of Medicine, Irvine, CA, USA.,Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
| | - Entringer S
- Development, Health and Disease Research Program, University of California, School of Medicine, Irvine, CA, USA,Department of Pediatrics, University of California, School of Medicine, Irvine, CA, USA.,Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
| | - Wadhwa PD
- Development, Health and Disease Research Program, University of California, School of Medicine, Irvine, CA, USA,Department of Pediatrics, University of California, School of Medicine, Irvine, CA, USA.,Department of Psychiatry and Human Behavior, University of California, School of Medicine, Irvine, CA, USA,Department of Obstetrics and Gynecology, University of California, School of Medicine, Irvine, CA, USA,Department of Epidemiology, University of California, School of Medicine, Irvine, CA, USA
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47
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Abd Radzak SM, Mohd Khair SZN, Ahmad F, Patar A, Idris Z, Mohamed Yusoff AA. Insights regarding mitochondrial DNA copy number alterations in human cancer (Review). Int J Mol Med 2022; 50:104. [PMID: 35713211 PMCID: PMC9304817 DOI: 10.3892/ijmm.2022.5160] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 05/26/2022] [Indexed: 11/25/2022] Open
Abstract
Mitochondria are the critical organelles involved in various cellular functions. Mitochondrial biogenesis is activated by multiple cellular mechanisms which require a synchronous regulation between mitochondrial DNA (mtDNA) and nuclear DNA (nDNA). The mitochondrial DNA copy number (mtDNA-CN) is a proxy indicator for mitochondrial activity, and its alteration reflects mitochondrial biogenesis and function. Despite the precise mechanisms that modulate the amount and composition of mtDNA, which have not been fully elucidated, mtDNA-CN is known to influence numerous cellular pathways that are associated with cancer and as well as multiple other diseases. In addition, the utility of current technology in measuring mtDNA-CN contributes to its extensive assessment of diverse traits and tumorigenesis. The present review provides an overview of mtDNA-CN variations across human cancers and an extensive summary of the existing knowledge on the regulation and machinery of mtDNA-CN. The current information on the advanced methods used for mtDNA-CN assessment is also presented.
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Affiliation(s)
- Siti Muslihah Abd Radzak
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan 16150, Malaysia
| | - Siti Zulaikha Nashwa Mohd Khair
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan 16150, Malaysia
| | - Farizan Ahmad
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan 16150, Malaysia
| | - Azim Patar
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan 16150, Malaysia
| | - Zamzuri Idris
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan 16150, Malaysia
| | - Abdul Aziz Mohamed Yusoff
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan 16150, Malaysia
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48
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Wang X, Memon AA, Palmér K, Hedelius A, Sundquist J, Sundquist K. The association of mitochondrial DNA copy number with incident mental disorders in women: A population-based follow-up study. J Affect Disord 2022; 308:111-115. [PMID: 35427715 DOI: 10.1016/j.jad.2022.04.064] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/21/2022] [Accepted: 04/10/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND Available evidence suggests that mitochondrial DNA copy number (mtDNA-CN) may differ among patients with mental disorders compared to the general population. However, whether mtDNA-CN is independently associated with the subsequent incidence of mental disorders remains unclear. MATERIAL AND METHODS We used droplet digital PCR to measure the absolute mtDNA-CN in DNA samples obtained from a population-based follow-up study, which included a total of 2354 middle-aged women (52-63 years) who were free of mental disorders at baseline. After 17 years (median) of follow-up, 727 participants were diagnosed with mental disorders. RESULTS In the univariate Cox regression, lower baseline mtDNA-CN (mtDNA-CN < 117) was associated with a higher risk of mental disorders (HR = 1.16, p = 0.047). In addition, smoking, marital status and sleeping quality were associated with both mtDNA-CN and mental disorders. After adjusting for these variables, the association between mtDNA-CN and mental disorders decreased and became non-significant (HR = 1.07, p = 0.36). Stratification of data according to the subtype of mental disorders, showed that low mtDNA-CN was associated with a higher risk of alcohol or drug use disorders (HR = 1.82, p = 0.045 after adjusting). CONCLUSION In the present study, we could not find any independent association between mtDNA-CN blood and the most common mental disorders in a population-based follow-up study of Swedish women, except for alcohol and drug use disorders. The use of blood mtDNA-CN as a biomarker of mental disorders, in addition to other risk factors, needs to be further examined in future studies.
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Affiliation(s)
- Xiao Wang
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden.
| | - Ashfaque A Memon
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden
| | - Karolina Palmér
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden
| | - Anna Hedelius
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden
| | - Jan Sundquist
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden; Department of Family Medicine and Community Health, Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai, New York, USA; Center for Community-based Healthcare Research and Education (CoHRE), Department of Functional Pathology, School of Medicine, Shimane University, Japan
| | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden; Department of Family Medicine and Community Health, Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai, New York, USA; Center for Community-based Healthcare Research and Education (CoHRE), Department of Functional Pathology, School of Medicine, Shimane University, Japan
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49
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Increased blood-derived mitochondrial DNA copy number in African ancestry individuals with Parkinson's disease. Parkinsonism Relat Disord 2022; 101:1-5. [PMID: 35728366 DOI: 10.1016/j.parkreldis.2022.06.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/17/2022] [Accepted: 06/07/2022] [Indexed: 11/22/2022]
Abstract
INTRODUCTION Altered levels of mitochondrial DNA copy number (mtDNA-CN) have been proposed as a proxy for mitochondrial dysfunction. Following reports of mtDNA depletion in the blood and substantia nigra of Parkinson's disease (PD) cases, mtDNA-CN was also suggested as a possible biomarker for PD. Therefore, this study aimed to investigate whether blood mtDNA-CN levels of African ancestry PD cases would be altered compared to controls, as previously reported in individuals of Asian and European ancestry. METHODS Droplet digital polymerase chain reaction (ddPCR) was performed to quantify blood-derived mtDNA-CN levels as a ratio of a mitochondrial gene (MT-TL1) to a nuclear gene (B2M) in 72 PD cases and 79 controls of African ancestry (i.e. individuals with African mtDNA haplogroups) from South Africa. mtDNA-CN per cell was calculated by the formula 2 × MT-TL1/B2M. RESULTS Accepting study limitations, we report significantly higher mtDNA-CN in whole blood of our PD cases compared to controls (median difference = 81 copies/cell), independent of age (95% CI [64, 98]; P < 0.001]). These findings contradict previous reports of mtDNA depletion in PD cases. CONCLUSIONS We caution that the observed differences in mtDNA-CN between the present and past studies may be a result of unaccounted-for factors and variability in study designs. Consequently, larger well-designed investigations may help determine whether mtDNA-CN is consistently altered in the blood of PD cases across different ancestries and whether it can serve as a viable biomarker for PD.
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50
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Trumpff C, Owusu-Ansah E, Klein HU, Lee AJ, Petyuk V, Wingo TS, Wingo AP, Thambisetty M, Ferrucci L, Seyfried NT, Bennett DA, De Jager PL, Picard M. Mitochondrial respiratory chain protein co-regulation in the human brain. Heliyon 2022; 8:e09353. [PMID: 35600441 PMCID: PMC9118667 DOI: 10.1016/j.heliyon.2022.e09353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 03/12/2022] [Accepted: 04/27/2022] [Indexed: 11/09/2022] Open
Abstract
Mitochondrial respiratory chain (RC) function requires the stoichiometric interaction among dozens of proteins but their co-regulation has not been defined in the human brain. Here, using quantitative proteomics across three independent cohorts we systematically characterized the co-regulation patterns of mitochondrial RC proteins in the human dorsolateral prefrontal cortex (DLPFC). Whereas the abundance of RC protein subunits that physically assemble into stable complexes were correlated, indicating their co-regulation, RC assembly factors exhibited modest co-regulation. Within complex I, nuclear DNA-encoded subunits exhibited >2.5-times higher co-regulation than mitochondrial (mt)DNA-encoded subunits. Moreover, mtDNA copy number was unrelated to mtDNA-encoded subunits abundance, suggesting that mtDNA content is not limiting. Alzheimer's disease (AD) brains exhibited reduced abundance of complex I RC subunits, an effect largely driven by a 2-4% overall lower mitochondrial protein content. These findings provide foundational knowledge to identify molecular mechanisms contributing to age- and disease-related erosion of mitochondrial function in the human brain.
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Affiliation(s)
- Caroline Trumpff
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Edward Owusu-Ansah
- Department of Physiology and Cellular Biophysics, Columbia University Irving Medical Center, New York, USA
| | - Hans-Ulrich Klein
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, USA
| | - Annie J. Lee
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, USA
| | - Vladislav Petyuk
- Pacific Northwest National Laboratory, Richland, Washington State, USA
| | - Thomas S. Wingo
- Departments of Neurology and Human Genetics, Emory University, Atlanta, GA, USA
| | - Aliza P. Wingo
- Atlanta VA Medical Center, Decatur, GA, USA
- Department of Psychiatry, Emory University, Atlanta, GA, USA
| | - Madhav Thambisetty
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging Intramural Research Program, Baltimore, USA
| | - Luigi Ferrucci
- Longitudinal Study Section, National Institute on Aging, Baltimore, USA
| | | | - David A. Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Philip L. De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, USA
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
- Department of Neurology, H. Houston Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, USA
- New York State Psychiatric Institute, New York, USA
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