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Arron HE, Marsh BD, Kell DB, Khan MA, Jaeger BR, Pretorius E. Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: the biology of a neglected disease. Front Immunol 2024; 15:1386607. [PMID: 38887284 PMCID: PMC11180809 DOI: 10.3389/fimmu.2024.1386607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/11/2024] [Indexed: 06/20/2024] Open
Abstract
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a chronic, debilitating disease characterised by a wide range of symptoms that severely impact all aspects of life. Despite its significant prevalence, ME/CFS remains one of the most understudied and misunderstood conditions in modern medicine. ME/CFS lacks standardised diagnostic criteria owing to variations in both inclusion and exclusion criteria across different diagnostic guidelines, and furthermore, there are currently no effective treatments available. Moving beyond the traditional fragmented perspectives that have limited our understanding and management of the disease, our analysis of current information on ME/CFS represents a significant paradigm shift by synthesising the disease's multifactorial origins into a cohesive model. We discuss how ME/CFS emerges from an intricate web of genetic vulnerabilities and environmental triggers, notably viral infections, leading to a complex series of pathological responses including immune dysregulation, chronic inflammation, gut dysbiosis, and metabolic disturbances. This comprehensive model not only advances our understanding of ME/CFS's pathophysiology but also opens new avenues for research and potential therapeutic strategies. By integrating these disparate elements, our work emphasises the necessity of a holistic approach to diagnosing, researching, and treating ME/CFS, urging the scientific community to reconsider the disease's complexity and the multifaceted approach required for its study and management.
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Affiliation(s)
- Hayley E. Arron
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch, South Africa
| | - Benjamin D. Marsh
- MRCPCH Consultant Paediatric Neurodisability, Exeter, Devon, United Kingdom
| | - Douglas B. Kell
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch, South Africa
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, United Kingdom
- The Novo Nordisk Foundation Centre for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - M. Asad Khan
- Directorate of Respiratory Medicine, Manchester University Hospitals, Wythenshawe Hospital, Manchester, United Kingdom
| | - Beate R. Jaeger
- Long COVID department, Clinic St Georg, Bad Aibling, Germany
| | - Etheresia Pretorius
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch, South Africa
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, United Kingdom
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2
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Lingampelly SS, Naviaux JC, Heuer LS, Monk JM, Li K, Wang L, Haapanen L, Kelland CA, Van de Water J, Naviaux RK. Metabolic network analysis of pre-ASD newborns and 5-year-old children with autism spectrum disorder. Commun Biol 2024; 7:536. [PMID: 38729981 PMCID: PMC11549098 DOI: 10.1038/s42003-024-06102-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 03/22/2024] [Indexed: 05/12/2024] Open
Abstract
Classical metabolomic and new metabolic network methods were used to study the developmental features of autism spectrum disorder (ASD) in newborns (n = 205) and 5-year-old children (n = 53). Eighty percent of the metabolic impact in ASD was caused by 14 shared biochemical pathways that led to decreased anti-inflammatory and antioxidant defenses, and to increased physiologic stress molecules like lactate, glycerol, cholesterol, and ceramides. CIRCOS plots and a new metabolic network parameter,V ° net, revealed differences in both the kind and degree of network connectivity. Of 50 biochemical pathways and 450 polar and lipid metabolites examined, the developmental regulation of the purine network was most changed. Purine network hub analysis revealed a 17-fold reversal in typically developing children. This purine network reversal did not occur in ASD. These results revealed previously unknown metabolic phenotypes, identified new developmental states of the metabolic correlation network, and underscored the role of mitochondrial functional changes, purine metabolism, and purinergic signaling in autism spectrum disorder.
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Grants
- UL1 TR001442 NCATS NIH HHS
- 7274 Autism Speaks (Autism Speaks Inc.)
- This work was funded in part by philanthropic gifts to the Naviaux Lab from the UCSD Christini Fund, the Lennox Foundation, the William Wright Family Foundation, Malone Family Foundation, the Brain Foundation, the Westreich Foundation, the Aloe family, the Harb family, Marc Spilo and all the others who contributed to the Aloe family autism research fund, the N of One Autism Research Foundation, the UCSD Mitochondrial Disease Research Fund, the JMS Fund, Linda Clark, Jeanne Conrad, David Cannistraro, the Kirby and Katie Mano Family, Simon and Evelyn Foo, Wing-kun Tam, Gita and Anurag Gupta, the Brent Kaufman Family, and the Daniel and Kelly White Family, and grassroots support from over 2000 individuals from around the world who have each provided gifts in the past year to support Naviaux Lab research. The REDCap software system used in this study was provided by the UCSD Clinical and Translational Research Center and supported by Award Number UL1TR001442 from the National Center for Research Resources. Financial supporters for this study had no role in study design, data collection, analysis, interpretation, writing, or publication of this work.
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Affiliation(s)
- Sai Sachin Lingampelly
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA
| | - Jane C Naviaux
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA
- Department of Neuroscience, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA
| | - Luke S Heuer
- The UC Davis MIND Institute, University of California, Davis, Davis, CA, 95616, USA
| | - Jonathan M Monk
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA
| | - Kefeng Li
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA
- Macao Polytechnic University, Macau, China
| | - Lin Wang
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA
| | - Lori Haapanen
- The UC Davis MIND Institute, University of California, Davis, Davis, CA, 95616, USA
| | - Chelsea A Kelland
- The UC Davis MIND Institute, University of California, Davis, Davis, CA, 95616, USA
| | - Judy Van de Water
- The UC Davis MIND Institute, University of California, Davis, Davis, CA, 95616, USA
- Department of Rheumatology and Allergy, School of Veterinary Medicine, University of California, Davis, Davis, CA, 95616, USA
| | - Robert K Naviaux
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA.
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA.
- Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA.
- Department of Pathology, University of California, San Diego School of Medicine, San Diego, CA, 92103-8467, USA.
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Naviaux RK. Mitochondrial and metabolic features of salugenesis and the healing cycle. Mitochondrion 2023; 70:131-163. [PMID: 37120082 DOI: 10.1016/j.mito.2023.04.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 03/24/2023] [Accepted: 04/23/2023] [Indexed: 05/01/2023]
Abstract
Pathogenesis and salugenesis are the first and second stages of the two-stage problem of disease production and health recovery. Salugenesis is the automatic, evolutionarily conserved, ontogenetic sequence of molecular, cellular, organ system, and behavioral changes that is used by living systems to heal. It is a whole-body process that begins with mitochondria and the cell. The stages of salugenesis define a circle that is energy- and resource-consuming, genetically programmed, and environmentally responsive. Energy and metabolic resources are provided by mitochondrial and metabolic transformations that drive the cell danger response (CDR) and create the three phases of the healing cycle: Phase 1-Inflammation, Phase 2-Proliferation, and Phase 3-Differentiation. Each phase requires a different mitochondrial phenotype. Without different mitochondria there can be no healing. The rise and fall of extracellular ATP (eATP) signaling is a key driver of the mitochondrial and metabolic reprogramming required to progress through the healing cycle. Sphingolipid and cholesterol-enriched membrane lipid rafts act as rheostats for tuning cellular sensitivity to purinergic signaling. Abnormal persistence of any phase of the CDR inhibits the healing cycle, creates dysfunctional cellular mosaics, causes the symptoms of chronic disease, and accelerates the process of aging. New research reframes the rising tide of chronic disease around the world as a systems problem caused by the combined action of pathogenic triggers and anthropogenic factors that interfere with the mitochondrial functions needed for healing. Once chronic pain, disability, or disease is established, salugenesis-based therapies will start where pathogenesis-based therapies end.
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Affiliation(s)
- Robert K Naviaux
- The Mitochondrial and Metabolic Disease Center, Departments of Medicine, and Pediatrics, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, MC#8467, San Diego, CA 92103.
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Salnikov L, Goldberg S, Rijhwani H, Shi Y, Pinsky E. The RNA-Seq data analysis shows how the ontogenesis defines aging. FRONTIERS IN AGING 2023; 4:1143334. [PMID: 36999000 PMCID: PMC10046809 DOI: 10.3389/fragi.2023.1143334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/03/2023] [Indexed: 03/15/2023]
Abstract
This paper presents a global statistical analysis of the RNA-Seq results of the entire Mus musculus genome. We explain aging by a gradual redistribution of limited resources between two major tasks of the organism: its self-sustenance based on the function of the housekeeping gene group (HG) and functional differentiation provided by the integrative gene group (IntG). All known disorders associated with aging are the result of a deficiency in the repair processes provided by the cellular infrastructure. Understanding exactly how this deficiency arises is our primary goal. Analysis of RNA production data of 35,630 genes, from which 5,101 were identified as HG genes, showed that RNA production levels in the HG and IntG genes had statistically significant differences (p-value <0.0001) throughout the entire observation period. In the reproductive period of life, which has the lowest actual mortality risk for Mus musculus, changes in the age dynamics of RNA production occur. The statistically significant dynamics of the decrease of RNA production in the HG group in contrast to the IntG group was determined (p-value = 0.0045). The trend toward significant shift in the HG/IntG ratio occurs after the end of the reproductive period, coinciding with the beginning of the mortality rate increase in Mus musculus indirectly supports our hypothesis. The results demonstrate a different orientation of the impact of ontogenesis regulatory mechanisms on the groups of genes representing cell infrastructures and their organismal functions, making the chosen direction promising for further research and understanding the mechanisms of aging.
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Affiliation(s)
| | - Saveli Goldberg
- Department of Radiation Oncology, Mass General Hospital, Boston, MA, United Kingdom
| | - Heena Rijhwani
- Department of Computer Science, Met College, Boston University, Boston, MA, United Kingdom
| | - Yuran Shi
- Department of Computer Science, Brandeis University, Waltham, MA, United Kingdom
| | - Eugene Pinsky
- Department of Computer Science, Met College, Boston University, Boston, MA, United Kingdom
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Sharma V, Mehdi MM. Oxidative stress, inflammation and hormesis: The role of dietary and lifestyle modifications on aging. Neurochem Int 2023; 164:105490. [PMID: 36702401 DOI: 10.1016/j.neuint.2023.105490] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/01/2022] [Accepted: 01/19/2023] [Indexed: 01/25/2023]
Abstract
Oxidative stress (OS) is primarily caused by the formation of free radicals and reactive oxygen species; it is considered as one of the prominent factors in slowing down and degrading cellular machinery of an individual, and it eventually leads to aging and age-related diseases by its continuous higher state. The relation between molecular damage and OS should be particularized to understand the beginning of destruction at the cellular levels, extending outwards to affect tissues, organs, and ultimately to the organism. Several OS biomarkers, which are established at the biomolecular level, are useful in investigating the disease susceptibility during aging. Slowing down the aging process is a matter of reducing the rate of oxidative damage to the cellular machinery over time. The breakdown of homeostasis, the mild overcompensation, the reestablishment of homeostasis, and the adaptive nature of the process are the essential features of hormesis, which incorporates several factors, including calorie restriction, nutrition and lifestyle modifications that play an important role in reducing the OS. In the current review, along with the concept and theories of aging (with emphasis on free radical theory), various manifestations of OS with special attention on mitochondrial dysfunction and age-related diseases have been discussed. To alleviate the OS, hormetic approaches including caloric restriction, exercise, and nutrition have also been discussed.
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Affiliation(s)
- Vinita Sharma
- School of Bioengineering and Biosciences, Lovely Professional University, Punjab, 144401, India
| | - Mohammad Murtaza Mehdi
- School of Bioengineering and Biosciences, Lovely Professional University, Punjab, 144401, India.
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Leake DW. Tracing Slow Phenoptosis to the Prenatal Stage in Social Vertebrates. BIOCHEMISTRY. BIOKHIMIIA 2022; 87:1512-1527. [PMID: 36717460 DOI: 10.1134/s0006297922120094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Vladimir Skulachev's coining of the term "phenoptosis" 25 years ago (Skulachev, V. P., Biochemistry (Moscow), 62, 1997) highlighted the theoretical possibility that aging is a programmed process to speed the exit of individuals posing some danger to their social group. While rapid "acute phenoptosis" might occur at any age (e.g., to prevent spread of deadly infections), "slow phenoptosis" is generally considered to occur later in life in the form of chronic age-related disorders. However, recent research indicates that risks for such chronic disorders can be greatly raised by early life adversity, especially during the prenatal stage. Much of this research uses indicators of biological aging, the speeding or slowing of natural physiological deterioration in response to environmental inputs, leading to divergence from chronological age. Studies using biological aging indicators commonly find it is accelerated not only in older individuals with chronic disorders, but also in very young individuals with health problems. This review will explain how accelerated biological aging equates to slow phenoptosis. Its occurrence even in the prenatal stage is theoretically supported by W. D. Hamilton's proposal that offsprings detecting they have dangerous mutations should then automatically speed their demise, in order to improve their inclusive fitness by giving their parents the chance to produce other fitter siblings.
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Affiliation(s)
- David W Leake
- University of Hawaii at Manoa, Honolulu, HI 96822, USA.
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7
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Zolkipli-Cunningham Z, Naviaux JC, Nakayama T, Hirsch CM, Monk JM, Li K, Wang L, Le TP, Meinardi S, Blake DR, Naviaux RK. Metabolic and behavioral features of acute hyperpurinergia and the maternal immune activation mouse model of autism spectrum disorder. PLoS One 2021; 16:e0248771. [PMID: 33735311 PMCID: PMC7971557 DOI: 10.1371/journal.pone.0248771] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 03/05/2021] [Indexed: 12/11/2022] Open
Abstract
Since 2012, studies in mice, rats, and humans have suggested that abnormalities in purinergic signaling may be a final common pathway for many genetic and environmental causes of autism spectrum disorder (ASD). The current study in mice was conducted to characterize the bioenergetic, metabolomic, breathomic, and behavioral features of acute hyperpurinergia triggered by systemic injection of the purinergic agonist and danger signal, extracellular ATP (eATP). Responses were studied in C57BL/6J mice in the maternal immune activation (MIA) model and controls. Basal metabolic rates and locomotor activity were measured in CLAMS cages. Plasma metabolomics measured 401 metabolites. Breathomics measured 98 volatile organic compounds. Intraperitoneal eATP dropped basal metabolic rate measured by whole body oxygen consumption by 74% ± 6% (mean ± SEM) and rectal temperature by 6.2˚ ± 0.3˚C in 30 minutes. Over 200 metabolites from 37 different biochemical pathways where changed. Breathomics showed an increase in exhaled carbon monoxide, dimethylsulfide, and isoprene. Metabolomics revealed an acute increase in lactate, citrate, purines, urea, dopamine, eicosanoids, microbiome metabolites, oxidized glutathione, thiamine, niacinamide, and pyridoxic acid, and decreased folate-methylation-1-carbon intermediates, amino acids, short and medium chain acyl-carnitines, phospholipids, ceramides, sphingomyelins, cholesterol, bile acids, and vitamin D similar to some children with ASD. MIA animals were hypersensitive to postnatal exposure to eATP or poly(IC), which produced a rebound increase in body temperature that lasted several weeks before returning to baseline. Acute hyperpurinergia produced metabolic and behavioral changes in mice. The behaviors and metabolic changes produced by ATP injection were associated with mitochondrial functional changes that were profound but reversible.
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Affiliation(s)
- Zarazuela Zolkipli-Cunningham
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, United States of America
- Department of Neurosciences, University of California, San Diego School of Medicine, San Diego, CA, United States of America
| | - Jane C. Naviaux
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, United States of America
- Department of Neurosciences, University of California, San Diego School of Medicine, San Diego, CA, United States of America
| | - Tomohiro Nakayama
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, United States of America
- Department of Neurosciences, University of California, San Diego School of Medicine, San Diego, CA, United States of America
| | - Charlotte M. Hirsch
- Department of Chemistry, University of California, Irvine (UCI), Irvine, CA, United States of America
| | - Jonathan M. Monk
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, United States of America
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, United States of America
| | - Kefeng Li
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, United States of America
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, United States of America
| | - Lin Wang
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, United States of America
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, United States of America
| | - Thuy P. Le
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, United States of America
- Department of Neurosciences, University of California, San Diego School of Medicine, San Diego, CA, United States of America
| | - Simone Meinardi
- Department of Chemistry, University of California, Irvine (UCI), Irvine, CA, United States of America
| | - Donald R. Blake
- Department of Chemistry, University of California, Irvine (UCI), Irvine, CA, United States of America
| | - Robert K. Naviaux
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, United States of America
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, United States of America
- Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, United States of America
- Department of Pathology, University of California, San Diego School of Medicine, San Diego, CA, United States of America
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8
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Mocking RJT, Naviaux JC, Li K, Wang L, Monk JM, Bright AT, Figueroa CA, Schene AH, Ruhé HG, Assies J, Naviaux RK. Metabolic features of recurrent major depressive disorder in remission, and the risk of future recurrence. Transl Psychiatry 2021; 11:37. [PMID: 33431800 PMCID: PMC7801396 DOI: 10.1038/s41398-020-01182-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 12/08/2020] [Accepted: 12/15/2020] [Indexed: 01/29/2023] Open
Abstract
Recurrent major depressive disorder (rMDD) is a relapsing-remitting disease with high morbidity and a 5-year risk of recurrence of up to 80%. This was a prospective pilot study to examine the potential diagnostic and prognostic value of targeted plasma metabolomics in the care of patients with rMDD in remission. We used an established LC-MS/MS platform to measure 399 metabolites in 68 subjects with rMDD (n = 45 females and 23 males) in antidepressant-free remission and 59 age- and sex-matched controls (n = 40 females and 19 males). Patients were then followed prospectively for 2.5 years. Metabolomics explained up to 43% of the phenotypic variance. The strongest biomarkers were gender specific. 80% of the metabolic predictors of recurrence in both males and females belonged to 6 pathways: (1) phospholipids, (2) sphingomyelins, (3) glycosphingolipids, (4) eicosanoids, (5) microbiome, and (6) purines. These changes traced to altered mitochondrial regulation of cellular redox, signaling, energy, and lipid metabolism. Metabolomics identified a chemical endophenotype that could be used to stratify rrMDD patients at greatest risk for recurrence with an accuracy over 0.90 (95%CI = 0.69-1.0). Power calculations suggest that a validation study of at least 198 females and 198 males (99 cases and 99 controls each) will be needed to confirm these results. Although a small study, these results are the first to show the potential utility of metabolomics in assisting with the important clinical challenge of prospectively identifying the patients at greatest risk of recurrence of a depressive episode and those who are at lower risk.
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Affiliation(s)
- Roel J T Mocking
- Department of Psychiatry, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Meibergdreef 5, 1105 AZ, Amsterdam, The Netherlands.
| | - Jane C Naviaux
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA
- Department of Neurosciences, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA
| | - Kefeng Li
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA
- Department of Medicine, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA
| | - Lin Wang
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA
- Department of Medicine, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA
| | - Jonathan M Monk
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA
- Department of Medicine, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA
| | - A Taylor Bright
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA
- Department of Medicine, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA
- Colt Neck Labs, 838 E High St 202., Lexington, KY, 40503, USA
| | - Caroline A Figueroa
- Department of Psychiatry, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Meibergdreef 5, 1105 AZ, Amsterdam, The Netherlands
- School of Social Welfare, University of California, Berkeley, CA, 94720, USA
| | - Aart H Schene
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Henricus G Ruhé
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Johanna Assies
- Department of Psychiatry, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Meibergdreef 5, 1105 AZ, Amsterdam, The Netherlands.
| | - Robert K Naviaux
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA.
- Department of Medicine, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA.
- Department of Pediatrics, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA.
- Department of Pathology, University of California, San Diego School of Medicine, 214 Dickinson St., Bldg CTF, Rm C107, San Diego, CA, 92103-8467, USA.
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9
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Mitochondrial Dysfunction in Aging and Diseases of Aging. BIOLOGY 2019; 8:biology8020048. [PMID: 31213034 PMCID: PMC6627182 DOI: 10.3390/biology8020048] [Citation(s) in RCA: 96] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 06/11/2019] [Indexed: 12/26/2022]
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