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Rae CD, Baur JA, Borges K, Dienel G, Díaz-García CM, Douglass SR, Drew K, Duarte JMN, Duran J, Kann O, Kristian T, Lee-Liu D, Lindquist BE, McNay EC, Robinson MB, Rothman DL, Rowlands BD, Ryan TA, Scafidi J, Scafidi S, Shuttleworth CW, Swanson RA, Uruk G, Vardjan N, Zorec R, McKenna MC. Brain energy metabolism: A roadmap for future research. J Neurochem 2024; 168:910-954. [PMID: 38183680 PMCID: PMC11102343 DOI: 10.1111/jnc.16032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 11/29/2023] [Accepted: 12/05/2023] [Indexed: 01/08/2024]
Abstract
Although we have learned much about how the brain fuels its functions over the last decades, there remains much still to discover in an organ that is so complex. This article lays out major gaps in our knowledge of interrelationships between brain metabolism and brain function, including biochemical, cellular, and subcellular aspects of functional metabolism and its imaging in adult brain, as well as during development, aging, and disease. The focus is on unknowns in metabolism of major brain substrates and associated transporters, the roles of insulin and of lipid droplets, the emerging role of metabolism in microglia, mysteries about the major brain cofactor and signaling molecule NAD+, as well as unsolved problems underlying brain metabolism in pathologies such as traumatic brain injury, epilepsy, and metabolic downregulation during hibernation. It describes our current level of understanding of these facets of brain energy metabolism as well as a roadmap for future research.
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Affiliation(s)
- Caroline D. Rae
- School of Psychology, The University of New South Wales, NSW 2052 & Neuroscience Research Australia, Randwick, New South Wales, Australia
| | - Joseph A. Baur
- Department of Physiology and Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Karin Borges
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, St Lucia, QLD, Australia
| | - Gerald Dienel
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Department of Cell Biology and Physiology, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA
| | - Carlos Manlio Díaz-García
- Department of Biochemistry and Molecular Biology, Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | | | - Kelly Drew
- Center for Transformative Research in Metabolism, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, Alaska, USA
| | - João M. N. Duarte
- Department of Experimental Medical Science, Faculty of Medicine, Lund University, Lund, & Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden
| | - Jordi Duran
- Institut Químic de Sarrià (IQS), Universitat Ramon Llull (URL), Barcelona, Spain
- Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Oliver Kann
- Institute of Physiology and Pathophysiology, University of Heidelberg, D-69120; Interdisciplinary Center for Neurosciences (IZN), University of Heidelberg, Heidelberg, Germany
| | - Tibor Kristian
- Veterans Affairs Maryland Health Center System, Baltimore, Maryland, USA
- Department of Anesthesiology and the Center for Shock, Trauma, and Anesthesiology Research (S.T.A.R.), University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Dasfne Lee-Liu
- Facultad de Medicina y Ciencia, Universidad San Sebastián, Santiago, Región Metropolitana, Chile
| | - Britta E. Lindquist
- Department of Neurology, Division of Neurocritical Care, Gladstone Institute of Neurological Disease, University of California at San Francisco, San Francisco, California, USA
| | - Ewan C. McNay
- Behavioral Neuroscience, University at Albany, Albany, New York, USA
| | - Michael B. Robinson
- Departments of Pediatrics and System Pharmacology & Translational Therapeutics, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Douglas L. Rothman
- Magnetic Resonance Research Center and Departments of Radiology and Biomedical Engineering, Yale University, New Haven, Connecticut, USA
| | - Benjamin D. Rowlands
- School of Chemistry, Faculty of Science, The University of Sydney, Sydney, New South Wales, Australia
| | - Timothy A. Ryan
- Department of Biochemistry, Weill Cornell Medicine, New York, New York, USA
| | - Joseph Scafidi
- Department of Neurology, Kennedy Krieger Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Susanna Scafidi
- Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - C. William Shuttleworth
- Department of Neurosciences, University of New Mexico School of Medicine Albuquerque, Albuquerque, New Mexico, USA
| | - Raymond A. Swanson
- Department of Neurology, University of California, San Francisco, and San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Gökhan Uruk
- Department of Neurology, University of California, San Francisco, and San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Nina Vardjan
- Laboratory of Cell Engineering, Celica Biomedical, Ljubljana, Slovenia
- Laboratory of Neuroendocrinology—Molecular Cell Physiology, Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Robert Zorec
- Laboratory of Cell Engineering, Celica Biomedical, Ljubljana, Slovenia
- Laboratory of Neuroendocrinology—Molecular Cell Physiology, Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Mary C. McKenna
- Department of Pediatrics and Program in Neuroscience, University of Maryland School of Medicine, Baltimore, Maryland, USA
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Achanta LB, Thomas DS, Housley GD, Rae CD. AMP-activated protein kinase activators have compound and concentration-specific effects on brain metabolism. J Neurochem 2024; 168:677-692. [PMID: 36977628 DOI: 10.1111/jnc.15815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/18/2023] [Accepted: 03/20/2023] [Indexed: 03/30/2023]
Abstract
AMP-activated protein kinase (AMPK) is a key sensor of energy balance playing important roles in the balancing of anabolic and catabolic activities. The high energy demands of the brain and its limited capacity to store energy indicate that AMPK may play a significant role in brain metabolism. Here, we activated AMPK in guinea pig cortical tissue slices, both directly with A769662 and PF 06409577 and indirectly with AICAR and metformin. We studied the resultant metabolism of [1-13C]glucose and [1,2-13C]acetate using NMR spectroscopy. We found distinct activator concentration-dependent effects on metabolism, which ranged from decreased metabolic pool sizes at EC50 activator concentrations with no expected stimulation in glycolytic flux to increased aerobic glycolysis and decreased pyruvate metabolism with certain activators. Further, activation with direct versus indirect activators produced distinct metabolic outcomes at both low (EC50) and higher (EC50 × 10) concentrations. Specific direct activation of β1-containing AMPK isoforms with PF 06409577 resulted in increased Krebs cycle activity, restoring pyruvate metabolism while A769662 increased lactate and alanine production, as well as labelling of citrate and glutamine. These results reveal a complex metabolic response to AMPK activators in brain beyond increased aerobic glycolysis and indicate that further research is warranted into their concentration- and mechanism-dependent impact.
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Affiliation(s)
- Lavanya B Achanta
- Neuroscience Research Australia, Barker St, Randwick, New South Wales, 2031, Australia
- Translational Neuroscience Facility, School of Biomedical Sciences, UNSW, Sydney, New South Wales, 2052, Australia
| | - Donald S Thomas
- Mark Wainwright Analytical Centre, UNSW, Sydney, New South Wales, 2052, Australia
| | - Gary D Housley
- Translational Neuroscience Facility, School of Biomedical Sciences, UNSW, Sydney, New South Wales, 2052, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Barker St, Randwick, New South Wales, 2031, Australia
- School of Psychology, UNSW, Sydney, New South Wales, 2052, Australia
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Todd G, Rae CD, Taylor JL, Rogasch NC, Butler JE, Hayes M, Wilcox RA, Gandevia SC, Aoun K, Esterman A, Lewis SJG, Hall JM, Matar E, Godau J, Berg D, Plewnia C, von Thaler A, Chiang C, Double KL. Motor cortical excitability and pre-supplementary motor area neurochemistry in healthy adults with substantia nigra hyperechogenicity. J Neurosci Res 2023; 101:263-277. [PMID: 36353842 PMCID: PMC10952673 DOI: 10.1002/jnr.25145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 10/08/2022] [Accepted: 10/26/2022] [Indexed: 11/12/2022]
Abstract
Substantia nigra (SN) hyperechogenicity, viewed with transcranial ultrasound, is a risk marker for Parkinson's disease. We hypothesized that SN hyperechogenicity in healthy adults aged 50-70 years is associated with reduced short-interval intracortical inhibition in primary motor cortex, and that the reduced intracortical inhibition is associated with neurochemical markers of activity in the pre-supplementary motor area (pre-SMA). Short-interval intracortical inhibition and intracortical facilitation in primary motor cortex was assessed with paired-pulse transcranial magnetic stimulation in 23 healthy adults with normal (n = 14; 61 ± 7 yrs) or abnormally enlarged (hyperechogenic; n = 9; 60 ± 6 yrs) area of SN echogenicity. Thirteen of these participants (7 SN- and 6 SN+) also underwent brain magnetic resonance spectroscopy to investigate pre-SMA neurochemistry. There was no relationship between area of SN echogenicity and short-interval intracortical inhibition in the ipsilateral primary motor cortex. There was a significant positive relationship, however, between area of echogenicity in the right SN and the magnitude of intracortical facilitation in the right (ipsilateral) primary motor cortex (p = .005; multivariate regression), evidenced by the amplitude of the conditioned motor evoked potential (MEP) at the 10-12 ms interstimulus interval. This relationship was not present on the left side. Pre-SMA glutamate did not predict primary motor cortex inhibition or facilitation. The results suggest that SN hyperechogenicity in healthy older adults may be associated with changes in excitability of motor cortical circuitry. The results advance understanding of brain changes in healthy older adults at risk of Parkinson's disease.
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Affiliation(s)
- Gabrielle Todd
- UniSA Clinical & Health Sciences and Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideSouth AustraliaAustralia
| | - Caroline D. Rae
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- Faculty of MedicineUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Janet L. Taylor
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- Faculty of MedicineUniversity of New South WalesKensingtonNew South WalesAustralia
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
| | - Nigel C. Rogasch
- Hopwood Centre for NeurobiologySouth Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
- Faculty of Health and Medical SciencesThe University of AdelaideAdelaideSouth AustraliaAustralia
- School of Psychological Sciences and Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
| | - Jane E. Butler
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- Faculty of MedicineUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Michael Hayes
- Department of NeurologyConcord Repatriation General HospitalConcordNew South WalesAustralia
| | - Robert A. Wilcox
- UniSA Clinical & Health Sciences and Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideSouth AustraliaAustralia
- Department of NeurologyFlinders Medical CentreBedford ParkSouth AustraliaAustralia
- College of Medicine and Public HealthFlinders UniversityBedford ParkSouth AustraliaAustralia
| | - Simon C. Gandevia
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- Faculty of MedicineUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Karl Aoun
- Brain and Mind Centre and School of Medical Sciences (Neuroscience)The University of SydneySydneyNew South WalesAustralia
| | - Adrian Esterman
- UniSA Clinical & Health Sciences and Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideSouth AustraliaAustralia
| | - Simon J. G. Lewis
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, Faculty of Medicine and HealthThe University of SydneyCamperdownNew South WalesAustralia
| | - Julie M. Hall
- Department of Experimental PsychologyGhent UniversityGhentBelgium
| | - Elie Matar
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, Faculty of Medicine and HealthThe University of SydneyCamperdownNew South WalesAustralia
| | - Jana Godau
- Department of NeurologyKlinikum Kassel GmbHKasselGermany
| | - Daniela Berg
- Department of Neurology, UKSH, Campus KielChristian‐Albrechts‐UniversityKielGermany
| | - Christian Plewnia
- Department of Psychiatry and Psychotherapy, Neurophysiology & Interventional NeuropsychiatryUniversity of TübingenTübingenGermany
| | | | - Clarence Chiang
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- Faculty of MedicineUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Kay L. Double
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- Brain and Mind Centre and School of Medical Sciences (Neuroscience)The University of SydneySydneyNew South WalesAustralia
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Rae CD, Williams SR. Details matter in quality science. Adopting a checklist for magnetic resonance spectroscopy can help you get them right. J Neurochem 2023; 164:451-453. [PMID: 36495565 DOI: 10.1111/jnc.15725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 11/02/2022] [Indexed: 12/14/2022]
Abstract
The ISMRM study group on magnetic resonance spectroscopy has produced recommendations for reporting methods. The Journal of Neurochemistry has decided to encourage the use of the checklist for these standards by authors and reviewers in order to improve reproducibility and reliability of the science, make it easier for reviewers and to help educate the scientific community. Here, we explain why getting the details right is important.
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Affiliation(s)
- Caroline D Rae
- Neuroscience Research Australia Barker St, Randwick, New South Wales, Australia.,School of Psychology, The University of New South Wales, Sydney, New South Wales, Australia
| | - Stephen R Williams
- Faculty of Biological, Medical and Health Sciences, University of Manchester, Manchester, UK
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Abstract
OBJECTIVE We aimed to examine the relative contributions of HIV infection, age, and cardiovascular risk factors to subcortical brain atrophy in people with HIV (PWH). DESIGN Longitudinal observational study. METHODS Virally suppressed PWH with low neuropsychological confounds (n = 75) and demographically matched HIV-negative controls (n = 31) completed baseline and 18-month follow-up MRI scans, neuropsychological evaluation, cardiovascular assessments, and HIV laboratory tests. PWH were evaluated for HIV-associated neurocognitive disorder (HAND). Subcortical volumes were extracted with Freesurfer after removal of white matter hyperintensities. Volumetric and shape analyses were conducted using linear mixed-effect models incorporating interactions between age, time, and each of HIV status, HAND status, HIV disease factors, and cardiovascular markers. RESULTS Across baseline and follow-up PWH had smaller volumes of most subcortical structures compared with HIV-negative participants. In addition, over time older PWH had a more rapid decline in caudate volumes (P = 0.041), predominantly in the more severe HAND subgroups (P = 0.042). Higher CD4+ cell counts had a protective effect over time on subcortical structures for older participants with HIV. Increased cardiovascular risk factors were associated with smaller volumes across baseline and follow-up for most structures, although a more rapid decline over time was observed for striatal volumes. There were no significant shape analyses findings. CONCLUSION The study demonstrates a three-hit model of general (as opposed to localized) subcortical injury in PWH: HIV infection associated with smaller volumes of most subcortical structures, HIV infection and aging synergy in the striatum, and cardiovascular-related injury linked to early and more rapid striatal atrophy.
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Affiliation(s)
- David Jakabek
- Faculty of Medicine, University of New South Wales
- Departments of Neurology and HIV Medicine, St Vincent's Hospital, & Peter Duncan Neurosciences Unit, St Vincent's Centre for Applied Medical Research
- Neuroscience Research Australia
| | - Caroline D Rae
- Neuroscience Research Australia
- UNSW Psychology, Sydney, New South Wales, Australia
| | - Bruce J Brew
- Faculty of Medicine, University of New South Wales
- Departments of Neurology and HIV Medicine, St Vincent's Hospital, & Peter Duncan Neurosciences Unit, St Vincent's Centre for Applied Medical Research
- Faculty of Medicine, University of Notre Dame
| | - Lucette A Cysique
- Departments of Neurology and HIV Medicine, St Vincent's Hospital, & Peter Duncan Neurosciences Unit, St Vincent's Centre for Applied Medical Research
- Neuroscience Research Australia
- UNSW Psychology, Sydney, New South Wales, Australia
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Naylor B, Hesam-Shariati N, McAuley JH, Boag S, Newton-John T, Rae CD, Gustin SM. Corrigendum: Reduced Glutamate in the Medial Prefrontal Cortex Is Associated With Emotional and Cognitive Dysregulation in People With Chronic Pain. Front Neurol 2022; 13:872851. [PMID: 35370916 PMCID: PMC8967135 DOI: 10.3389/fneur.2022.872851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 02/25/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Brooke Naylor
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Psychology, Macquarie University, Sydney, NSW, Australia
| | | | - James H. McAuley
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Simon Boag
- School of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Toby Newton-John
- Graduate School of Health, University of Technology Sydney, Sydney, NSW, Australia
| | | | - Sylvia M. Gustin
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Psychology, University of New South Wales, Sydney, NSW, Australia
- *Correspondence: Sylvia M. Gustin
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Stevens D, D'Rozario A, Openshaw H, Bartlett D, Rae CD, Catcheside P, Wong K, McEvoy RD, Grunstein RR, Vakulin A. Clinical predictors of working memory performance in obstructive sleep apnoea patients before and during extended wakefulness. Sleep 2021; 45:6460438. [PMID: 34897504 DOI: 10.1093/sleep/zsab289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 11/04/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES Extended wakefulness (EW) and obstructive sleep apnoea (OSA) impair working memory (WM), but their combined effects are unclear. This study examined the impact of EW on WM function in OSA patients and identified clinical predictors of WM impairment. METHODS Following polysomnography (PSG), 56 OSA patients (Mean ± SD, age 49.5 ± 8.9, AHI 38.1 ± 25.0) completed WM 2-back performance tasks 10 times over 24 hours of wakefulness to assess average accuracy and completion times measured after 6-12 hours awake (baseline) compared to 18-24 hours awake (EW). Hierarchical cluster analysis classified participants with poorer versus better WM performance at baseline and during EW. Clinical predictors of performance were examined via regression and receiver operator characteristic (ROC) analyses. RESULTS WM performance decreased following EW and showed consistent correlations with age, ESS, total sleep time and hypoxemia (O2 nadir and mean O2 desaturation) at baseline and with EW (all p<0.01). O2 nadir and age were significant independent predictors of performance at baseline (adjusted R 2=0.30, p<0.01), while O2 nadir and ESS were predictors of WM following EW (adjusted R 2=0.38, p<0.001). ROC analysis demonstrated high sensitivity and specificity of models to predict poorer vs better performing participants at baseline (83% and 69%) and during EW (84% and 74%). CONCLUSIONS O2 nadir, age and sleepiness show prognostic value for predicting WM impairment in both rested and sleep deprived OSA patients and may guide clinicians in identifying patients most at risk of impaired WM under both rested and heightened sleep pressure conditions.
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Affiliation(s)
- David Stevens
- Flinders Health and Medical Research Institute, Sleep Health / Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.,Centre for Nutrition and Gastrointestinal Diseases, South Australian Health & Medical Research Institute, Adelaide, Australia
| | - Angela D'Rozario
- CIRUS and NeuroSleep, Centres of Research Excellence, Sleep and Circadian Research Group, Woolcock Institute of Medical Research, Sydney, Australia.,Sydney Medical School, The University of Sydney, Sydney, Australia.,School of Psychology, Faculty of Science, Brain and Mind Centre and Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Hannah Openshaw
- Flinders Health and Medical Research Institute, Sleep Health / Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Delwyn Bartlett
- CIRUS and NeuroSleep, Centres of Research Excellence, Sleep and Circadian Research Group, Woolcock Institute of Medical Research, Sydney, Australia.,Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Sydney, Australia.,School of Medical Sciences, The University of New South Wales, Sydney, Australia
| | - Peter Catcheside
- Flinders Health and Medical Research Institute, Sleep Health / Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Keith Wong
- CIRUS and NeuroSleep, Centres of Research Excellence, Sleep and Circadian Research Group, Woolcock Institute of Medical Research, Sydney, Australia.,Sydney Medical School, The University of Sydney, Sydney, Australia.,Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, and Sydney Health Partners, Sydney, Australia
| | - R Doug McEvoy
- Flinders Health and Medical Research Institute, Sleep Health / Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Ronald R Grunstein
- CIRUS and NeuroSleep, Centres of Research Excellence, Sleep and Circadian Research Group, Woolcock Institute of Medical Research, Sydney, Australia.,Sydney Medical School, The University of Sydney, Sydney, Australia.,Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, and Sydney Health Partners, Sydney, Australia
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute, Sleep Health / Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.,CIRUS and NeuroSleep, Centres of Research Excellence, Sleep and Circadian Research Group, Woolcock Institute of Medical Research, Sydney, Australia
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8
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Hui SCN, Mikkelsen M, Zöllner HJ, Ahluwalia V, Alcauter S, Baltusis L, Barany DA, Barlow LR, Becker R, Berman JI, Berrington A, Bhattacharyya PK, Blicher JU, Bogner W, Brown MS, Calhoun VD, Castillo R, Cecil KM, Choi YB, Chu WCW, Clarke WT, Craven AR, Cuypers K, Dacko M, de la Fuente-Sandoval C, Desmond P, Domagalik A, Dumont J, Duncan NW, Dydak U, Dyke K, Edmondson DA, Ende G, Ersland L, Evans CJ, Fermin ASR, Ferretti A, Fillmer A, Gong T, Greenhouse I, Grist JT, Gu M, Harris AD, Hat K, Heba S, Heckova E, Hegarty JP, Heise KF, Honda S, Jacobson A, Jansen JFA, Jenkins CW, Johnston SJ, Juchem C, Kangarlu A, Kerr AB, Landheer K, Lange T, Lee P, Levendovszky SR, Limperopoulos C, Liu F, Lloyd W, Lythgoe DJ, Machizawa MG, MacMillan EL, Maddock RJ, Manzhurtsev AV, Martinez-Gudino ML, Miller JJ, Mirzakhanian H, Moreno-Ortega M, Mullins PG, Nakajima S, Near J, Noeske R, Nordhøy W, Oeltzschner G, Osorio-Duran R, Otaduy MCG, Pasaye EH, Peeters R, Peltier SJ, Pilatus U, Polomac N, Porges EC, Pradhan S, Prisciandaro JJ, Puts NA, Rae CD, Reyes-Madrigal F, Roberts TPL, Robertson CE, Rosenberg JT, Rotaru DG, O'Gorman Tuura RL, Saleh MG, Sandberg K, Sangill R, Schembri K, Schrantee A, Semenova NA, Singel D, Sitnikov R, Smith J, Song Y, Stark C, Stoffers D, Swinnen SP, Tain R, Tanase C, Tapper S, Tegenthoff M, Thiel T, Thioux M, Truong P, van Dijk P, Vella N, Vidyasagar R, Vovk A, Wang G, Westlye LT, Wilbur TK, Willoughby WR, Wilson M, Wittsack HJ, Woods AJ, Wu YC, Xu J, Lopez MY, Yeung DKW, Zhao Q, Zhou X, Zupan G, Edden RAE. Frequency drift in MR spectroscopy at 3T. Neuroimage 2021; 241:118430. [PMID: 34314848 PMCID: PMC8456751 DOI: 10.1016/j.neuroimage.2021.118430] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 06/18/2021] [Accepted: 07/22/2021] [Indexed: 11/17/2022] Open
Abstract
PURPOSE Heating of gradient coils and passive shim components is a common cause of instability in the B0 field, especially when gradient intensive sequences are used. The aim of the study was to set a benchmark for typical drift encountered during MR spectroscopy (MRS) to assess the need for real-time field-frequency locking on MRI scanners by comparing field drift data from a large number of sites. METHOD A standardized protocol was developed for 80 participating sites using 99 3T MR scanners from 3 major vendors. Phantom water signals were acquired before and after an EPI sequence. The protocol consisted of: minimal preparatory imaging; a short pre-fMRI PRESS; a ten-minute fMRI acquisition; and a long post-fMRI PRESS acquisition. Both pre- and post-fMRI PRESS were non-water suppressed. Real-time frequency stabilization/adjustment was switched off when appropriate. Sixty scanners repeated the protocol for a second dataset. In addition, a three-hour post-fMRI MRS acquisition was performed at one site to observe change of gradient temperature and drift rate. Spectral analysis was performed using MATLAB. Frequency drift in pre-fMRI PRESS data were compared with the first 5:20 minutes and the full 30:00 minutes of data after fMRI. Median (interquartile range) drifts were measured and showed in violin plot. Paired t-tests were performed to compare frequency drift pre- and post-fMRI. A simulated in vivo spectrum was generated using FID-A to visualize the effect of the observed frequency drifts. The simulated spectrum was convolved with the frequency trace for the most extreme cases. Impacts of frequency drifts on NAA and GABA were also simulated as a function of linear drift. Data from the repeated protocol were compared with the corresponding first dataset using Pearson's and intraclass correlation coefficients (ICC). RESULTS Of the data collected from 99 scanners, 4 were excluded due to various reasons. Thus, data from 95 scanners were ultimately analyzed. For the first 5:20 min (64 transients), median (interquartile range) drift was 0.44 (1.29) Hz before fMRI and 0.83 (1.29) Hz after. This increased to 3.15 (4.02) Hz for the full 30 min (360 transients) run. Average drift rates were 0.29 Hz/min before fMRI and 0.43 Hz/min after. Paired t-tests indicated that drift increased after fMRI, as expected (p < 0.05). Simulated spectra convolved with the frequency drift showed that the intensity of the NAA singlet was reduced by up to 26%, 44 % and 18% for GE, Philips and Siemens scanners after fMRI, respectively. ICCs indicated good agreement between datasets acquired on separate days. The single site long acquisition showed drift rate was reduced to 0.03 Hz/min approximately three hours after fMRI. DISCUSSION This study analyzed frequency drift data from 95 3T MRI scanners. Median levels of drift were relatively low (5-min average under 1 Hz), but the most extreme cases suffered from higher levels of drift. The extent of drift varied across scanners which both linear and nonlinear drifts were observed.
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Affiliation(s)
- Steve C N Hui
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Mark Mikkelsen
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Helge J Zöllner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Vishwadeep Ahluwalia
- GSU/GT Center for Advanced Brain Imaging, Georgia Institute of Technology, Atlanta, GA USA
| | - Sarael Alcauter
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Queretaro, Mexico
| | - Laima Baltusis
- Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA USA
| | - Deborah A Barany
- Department of Kinesiology, University of Georgia, and Augusta University/University of Georgia Medical Partnership, Athens, GA USA
| | - Laura R Barlow
- Department of Radiology, Faculty of Medicine, The University of British Columbia, Vancouver, Canada
| | - Robert Becker
- Center for Innovative Psychiatry and Psychotherapy Research, Department Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jeffrey I Berman
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - Adam Berrington
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | | | - Jakob Udby Blicher
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | - Wolfgang Bogner
- Department of Biomedical Imaging and Image-guided Therapy, High-Field MR Center, Medical University of Vienna, Vienna, Austria
| | - Mark S Brown
- Department of Radiology, Medical Physics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA USA
| | - Ryan Castillo
- NeuRA Imaging, Neuroscience Research Australia, Randwick, Australia
| | - Kim M Cecil
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH USA
| | - Yeo Bi Choi
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH USA
| | - Winnie C W Chu
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
| | - William T Clarke
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Alexander R Craven
- Department of Biological and Medical Psychology, University of Bergen, Haukeland University Hospital, Bergen, Norway
| | - Koen Cuypers
- REVAL Rehabilitation Research Institute (REVAL), Hasselt University, Diepenbeek, Belgium; Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Michael Dacko
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Camilo de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry & Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Patricia Desmond
- Department of Radiology, University of Melbourne/ Royal Melbourne Hospital, Melbourne, Australia
| | - Aleksandra Domagalik
- Brain Imaging Core Facility, Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland
| | - Julien Dumont
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, F-59000 Lille, France
| | - Niall W Duncan
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
| | - Ulrike Dydak
- School of Health Sciences, Purdue University, West Lafayette, IN USA
| | - Katherine Dyke
- School of Psychology, University of Nottingham, Nottingham, UK
| | - David A Edmondson
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH USA
| | - Gabriele Ende
- Center for Innovative Psychiatry and Psychotherapy Research, Department Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lars Ersland
- Department of Clinical Engineering, University of Bergen, Haukeland University Hospital, Bergen, Norway
| | | | - Alan S R Fermin
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Antonio Ferretti
- Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
| | - Ariane Fillmer
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany
| | - Tao Gong
- Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Ian Greenhouse
- Department of Human Physiology, University of Oregon, Eugene, OR USA
| | - James T Grist
- Department of Physiology, Anatomy, and Genetics, Oxford Centre for Magnetic Resonance / Department of Radiology, The Churchill Hospital, The University of Oxford, Oxford, UK
| | - Meng Gu
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Ashley D Harris
- Department of Radiology, University of Calgary, Calgary, Canada
| | - Katarzyna Hat
- Consciousness Lab, Institute of Psychology, Jagiellonian University, Kraków, Poland
| | - Stefanie Heba
- Department of Neurology, BG University Hospital Bergmannsheil, Bochum, Germany
| | - Eva Heckova
- Department of Biomedical Imaging and Image-guided Therapy, High-Field MR Center, Medical University of Vienna, Vienna, Austria
| | - John P Hegarty
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
| | | | - Shiori Honda
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Aaron Jacobson
- Department of Radiology / Psychiatry, University of California San Diego, San Diego, CA USA
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Stephen J Johnston
- Psychology Department / Clinical Imaging Facility, Swansea University, Swansea, UK
| | - Christoph Juchem
- Departments of Biomedical Engineering and Radiology, Columbia University, New York, NY USA
| | - Alayar Kangarlu
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY USA
| | - Adam B Kerr
- Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA USA
| | - Karl Landheer
- Departments of Biomedical Engineering and Radiology, Columbia University, New York, NY USA
| | - Thomas Lange
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Phil Lee
- Department of Radiology / Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS USA
| | | | - Catherine Limperopoulos
- Developing Brain Institute, Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC USA
| | - Feng Liu
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY USA
| | - William Lloyd
- Division of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, UK
| | - David J Lythgoe
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Maro G Machizawa
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Erin L MacMillan
- Department of Radiology, Faculty of Medicine, The University of British Columbia, Vancouver, Canada; Philips Canada, Markham, ON, Canada
| | - Richard J Maddock
- Department of Psychiatry and Behavioral Sciences, University of California Davis, Imaging Research Center, Davis, CA USA
| | - Andrei V Manzhurtsev
- Department of Radiology, Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Moscow, Russia; Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow, Russia
| | - María L Martinez-Gudino
- Departamento de Imágenes Cerebrales, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Jack J Miller
- Department of Physics, University of Oxford, Oxford, UK; The MR Research Centre & The PET Research Centre, Aarhus University, Aarhus, DK
| | - Heline Mirzakhanian
- Department of Radiology / Psychiatry, University of California San Diego, San Diego, CA USA
| | - Marta Moreno-Ortega
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY USA
| | - Paul G Mullins
- Bangor Imaging Unit, Department of Psychology, Bangor University, Bangor, Wales, UK
| | - Shinichiro Nakajima
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Jamie Near
- Douglas Mental Health University Institute and Department of Psychiatry, McGill University, Montreal, Canada
| | | | - Wibeke Nordhøy
- NORMENT, Division of Mental Health and Addiction and Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital / Department of Psychology, University of Oslo, Oslo, Norway
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Raul Osorio-Duran
- Departamento de Imágenes Cerebrales, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Maria C G Otaduy
- LIM44, Instituto e Departamento de Radiologia, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Erick H Pasaye
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Queretaro, Mexico
| | - Ronald Peeters
- Department of Imaging & Pathology, Department of Radiology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Scott J Peltier
- Functional MRI Laboratory, University of Michigan, Ann Arbor, MI USA
| | - Ulrich Pilatus
- Institute of Neuroradiology, Goethe-University Frankfurt, Frankfurt, Germany
| | - Nenad Polomac
- Institute of Neuroradiology, Goethe-University Frankfurt, Frankfurt, Germany
| | - Eric C Porges
- Center for Cognitive Aging and Memory, McKnight Brain Institute, Department of Clinical and Health Psychology, College of Public Health and Health Professions. Department of Neuroscience, College of Medicine, University of Florida, Gainesville, USA
| | - Subechhya Pradhan
- Developing Brain Institute, Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC USA
| | - James Joseph Prisciandaro
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC USA
| | - Nicolaas A Puts
- Department of Forensic & Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, King's College London, London, UK
| | - Caroline D Rae
- NeuRA Imaging, Neuroscience Research Australia, Randwick, Australia
| | - Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry & Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Timothy P L Roberts
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - Caroline E Robertson
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH USA
| | - Jens T Rosenberg
- McKnight Brain Institute, AMRIS, University of Florida, Gainesville, FL USA
| | - Diana-Georgiana Rotaru
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ruth L O'Gorman Tuura
- Center for MR Research, University Children's Hospital, Zurich, University of Zurich, Switzerland
| | - Muhammad G Saleh
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA
| | - Kristian Sandberg
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | - Ryan Sangill
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | | | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Natalia A Semenova
- Department of Radiology, Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Moscow, Russia; Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow, Russia
| | - Debra Singel
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Rouslan Sitnikov
- Clinical Neuroscience, MRI Centre, Karolinska Institute, Stockholm, Sweden
| | - Jolinda Smith
- Lewis Center for Neuroimaging, University of Oregon, Eugene, OR USA
| | - Yulu Song
- Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Craig Stark
- Department of Neurobiology and Behavior, Facility for Imaging and Brain Research (FIBRE) & Campus Center for Neuroimaging (CCNI), School of Biological Sciences, University of California, Irvine, Irvine, CA USA
| | - Diederick Stoffers
- Spinoza Centre for Neuroimaging, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | | | - Rongwen Tain
- Department of Neurobiology and Behavior, Facility for Imaging and Brain Research (FIBRE) & Campus Center for Neuroimaging (CCNI), School of Biological Sciences, University of California, Irvine, Irvine, CA USA
| | - Costin Tanase
- Department of Psychiatry and Behavioral Sciences, University of California Davis, Imaging Research Center, Davis, CA USA
| | - Sofie Tapper
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Martin Tegenthoff
- Department of Neurology, BG University Hospital Bergmannsheil, Bochum, Germany
| | - Thomas Thiel
- Institute of Clinical Neuroscience and Medical Psychology, University Dusseldorf, Medical Faculty, Düsseldorf, Germany
| | - Marc Thioux
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Peter Truong
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Canada
| | - Pim van Dijk
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nolan Vella
- Medical Physics, Mater Dei Hospital, Imsida, Malta
| | - Rishma Vidyasagar
- Melbourne Dementia Research Centre, Florey Institute of Neurosciences and Mental Health, Melbourne, Australia
| | - Andrej Vovk
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Guangbin Wang
- Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction and Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital / Department of Psychology, University of Oslo, Oslo, Norway
| | - Timothy K Wilbur
- Department of Radiology, University of Washington, Seattle, WA USA
| | - William R Willoughby
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Martin Wilson
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
| | - Hans-Jörg Wittsack
- Department of Diagnostic and Interventional Radiology, University Düsseldorf, Medical Faculty, Düsseldorf, Germany
| | - Adam J Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, Department of Clinical and Health Psychology, College of Public Health and Health Professions. Department of Neuroscience, College of Medicine, University of Florida, Gainesville, USA
| | - Yen-Chien Wu
- Department of Radiology, TMU-Shuang Ho Hospital, New Taipei City, Taiwan
| | - Junqian Xu
- Department of Radiology and Psychiatry, Baylor College of Medicine, Houston, USA
| | | | - David K W Yeung
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
| | - Qun Zhao
- Bioimaging Research Center, Department of Physics and Astronomy, University of Georgia, Athens, GA USA
| | - Xiaopeng Zhou
- School of Health Sciences, Purdue University, West Lafayette, IN USA
| | - Gasper Zupan
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
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Vakulin A, Green MA, D'Rozario AL, Stevens D, Openshaw H, Bartlett D, Wong K, McEvoy RD, Grunstein RR, Rae CD. Brain mitochondrial dysfunction and driving simulator performance in untreated obstructive sleep apnea. J Sleep Res 2021; 31:e13482. [PMID: 34528315 DOI: 10.1111/jsr.13482] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/29/2021] [Accepted: 08/30/2021] [Indexed: 11/30/2022]
Abstract
It is challenging to determine which patients with obstructive sleep apnea (OSA) have impaired driving ability. Vulnerability to this neurobehavioral impairment may be explained by lower brain metabolites levels involved in mitochondrial metabolism. This study compared markers of brain energy metabolism in OSA patients identified as vulnerable vs resistant to driving impairment following extended wakefulness. 44 patients with moderate-severe OSA underwent 28hr extended wakefulness with three 90min driving simulation assessments. Using a two-step cluster analysis, objective driving data (steering deviation and crashes) from the 2nd driving assessment (22.5 h awake) was used to categorise patients into vulnerable (poor driving, n = 21) or resistant groups (good driving, n = 23). 1 H magnetic resonance spectra were acquired at baseline using two scan sequences (short echo PRESS and longer echo-time asymmetric PRESS), focusing on key metabolites, creatine, glutamate, N-acetylaspartate (NAA) in the hippocampus, anterior cingulate cortex and left orbito-frontal cortex. Based on cluster analysis, the vulnerable group had impaired driving performance compared with the resistant group and had lower levels of creatine (PRESS p = ns, APRESS p = 0.039), glutamate, (PRESS p < 0.01, APRESS p < 0.01), NAA (PRESS p = 0.038, APRESS p = 0.035) exclusively in the left orbito-frontal cortex. Adjusted analysis, higher glutamate was associated with a 21% (PRESS) and 36% (APRESS) reduced risk of vulnerable classification. Brain mitochondrial bioenergetics in the frontal brain regions are impaired in OSA patients who are vulnerable to driving impairment following sleep loss. These findings provide a potential way to identify at risk OSA phenotype when assessing fitness to drive, but this requires confirmation in larger future studies.
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Affiliation(s)
- Andrew Vakulin
- Adelaide Institute for Sleep Health/FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.,Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, Australia
| | - Michael A Green
- Neuroscience Research Australia, Sydney, New South Wales, Australia.,School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia
| | - Angela L D'Rozario
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, Australia.,School of Psychology, Faculty of Science, Brain and Mind Centre and Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - David Stevens
- Adelaide Institute for Sleep Health/FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.,Centre for Nutritional and Gastrointestinal Diseases, SAHMRI, Adelaide, South Australia, Australia
| | - Hannah Openshaw
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, Australia
| | - Delwyn Bartlett
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, Australia.,Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Keith Wong
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, Australia.,Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.,Royal Prince Alfred Hospital, Sydney Health Partners, Sydney, New South Wales, Australia
| | - R Doug McEvoy
- Adelaide Institute for Sleep Health/FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Ronald R Grunstein
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, Australia.,Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.,Royal Prince Alfred Hospital, Sydney Health Partners, Sydney, New South Wales, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Sydney, New South Wales, Australia.,School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia
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10
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Lees B, Earls NE, Meares S, Batchelor J, Oxenham V, Rae CD, Jugé L, Cysique LA. Diffusion Tensor Imaging in Sport-Related Concussion: A Systematic Review Using an a priori Quality Rating System. J Neurotrauma 2021; 38:3032-3046. [PMID: 34309410 DOI: 10.1089/neu.2021.0154] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Diffusion tensor imaging (DTI) of brain white matter (WM) may be useful for characterizing the nature and degree of brain injury after sport-related concussion (SRC) and assist in establishing objective diagnostic and prognostic biomarkers. This study aimed to conduct a systematic review using an a priori quality rating strategy to determine the most consistent DTI-WM changes post-SRC. Articles published in English (until June 2020) were retrieved by standard research engine and gray literature searches (N = 4932), using PRISMA guidelines. Eligible studies were non-interventional naturalistic original studies that conducted DTI within 6 months of SRC in current athletes from all levels of play, types of sports, and sex. A total of 29 articles were included in the review, and after quality appraisal by two raters, data from 10 studies were extracted after being identified as high quality. High-quality studies showed widespread moderate-to-large WM differences when SRC samples were compared to controls during the acute to early chronic stage (days to weeks) post-SRC, including both increased and decreased fractional anisotropy and axial diffusivity and decreased mean diffusivity and radial diffusivity. WM differences remained stable in the chronic stage (2-6 months post-SRC). DTI metrics were commonly associated with SRC symptom severity, although standardized SRC diagnostics would improve future research. This indicates that microstructural recovery is often incomplete at return to play and may lag behind clinically assessed recovery measures. Future work should explore interindividual trajectories to improve understanding of the heterogeneous and dynamic WM patterns post-SRC.
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Affiliation(s)
- Briana Lees
- The Matilda Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Nicola E Earls
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia
| | - Susanne Meares
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia
| | - Jennifer Batchelor
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia
| | - Vincent Oxenham
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia.,Neuroscience Research Australia, Randwick, New South Wales, Australia.,Department of Neurology, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,School of Medical Sciences, UNSW Medicine, The University of New South Wales, Sydney, New South Wales, Australia
| | - Lauriane Jugé
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,School of Medical Sciences, UNSW Medicine, The University of New South Wales, Sydney, New South Wales, Australia
| | - Lucette A Cysique
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,St. Vincent's Hospital Applied Medical Research Centre, Peter Duncan Neuroscience, Sydney, New South Wales, Australia.,School of Psychology, The University of New South Wales, Sydney, New South Wales, Australia
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11
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Kang D, Hesam-Shariati N, McAuley JH, Alam M, Trost Z, Rae CD, Gustin SM. Disruption to normal excitatory and inhibitory function within the medial prefrontal cortex in people with chronic pain. Eur J Pain 2021; 25:2242-2256. [PMID: 34242465 DOI: 10.1002/ejp.1838] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Growing evidence indicates a link between changes in the medial prefrontal cortex and the pathophysiology of chronic pain. In particular, chronic pain is associated with altered medial prefrontal anatomy and biochemistry. Due to the comorbid affective disorders seen across all pain conditions, the medial prefrontal cortex is a region of significance as it is involved in emotional processing. We have recently reported that a decrease in medial prefrontal N-acetylaspartate and glutamate is associated with increased emotional dysregulation, indicating there are neurotransmitter imbalances in chronic pain. Therefore, we compared medial prefrontal neurochemistry in 24 people with chronic pain conditions to 24 age and sex-matched healthy controls with no history of chronic pain. METHOD GABA-edited MEGA-PRESS was used to measure GABA+ levels, and short TE PRESS was used to measure glutamate levels in the medial prefrontal cortex. Psychometric measures regarding pain intensity a week before scanning, during the scan and the total duration of chronic pain, were also recorded and compared to measured GABA+ and glutamate levels. RESULTS This study reveals that the presence of chronic pain is associated with significant decreases in medial prefrontal GABA+ and glutamate. These findings support the hypothesis that chronic pain is associated with altered medial prefrontal biochemistry. CONCLUSION The dysregulation of glutamatergic and GABAergic neurotransmitter systems supports a model of disinhibition of chronic pain, which may play a key role in both the experience of persistent pain and its associated affective disturbances. SIGNIFICANCE This study reveals a significant reduction in γ-aminobutyric acid (GABA+ ) and glutamate within the medial prefrontal cortex in chronic pain sufferers. While the current findings should be considered with reference to a small sample size, the disruption to normal excitatory and inhibitory medial prefrontal cortex function may be key in the development and maintenance of chronic pain and comorbid mental health disorders.
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Affiliation(s)
- David Kang
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, NSW, Australia
| | - Negin Hesam-Shariati
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, NSW, Australia.,School of Psychology, University of New South, Sydney, NSW, Australia
| | - James H McAuley
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, NSW, Australia.,School of Health Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Monzurul Alam
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, NSW, Australia.,School of Psychology, University of New South, Sydney, NSW, Australia
| | - Zina Trost
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, USA
| | | | - Sylvia M Gustin
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, NSW, Australia.,School of Psychology, University of New South, Sydney, NSW, Australia
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12
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von Jonquieres G, Rae CD, Housley GD. Emerging Concepts in Vector Development for Glial Gene Therapy: Implications for Leukodystrophies. Front Cell Neurosci 2021; 15:661857. [PMID: 34239416 PMCID: PMC8258421 DOI: 10.3389/fncel.2021.661857] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/12/2021] [Indexed: 12/12/2022] Open
Abstract
Central Nervous System (CNS) homeostasis and function rely on intercellular synchronization of metabolic pathways. Developmental and neurochemical imbalances arising from mutations are frequently associated with devastating and often intractable neurological dysfunction. In the absence of pharmacological treatment options, but with knowledge of the genetic cause underlying the pathophysiology, gene therapy holds promise for disease control. Consideration of leukodystrophies provide a case in point; we review cell type – specific expression pattern of the disease – causing genes and reflect on genetic and cellular treatment approaches including ex vivo hematopoietic stem cell gene therapies and in vivo approaches using adeno-associated virus (AAV) vectors. We link recent advances in vectorology to glial targeting directed towards gene therapies for specific leukodystrophies and related developmental or neurometabolic disorders affecting the CNS white matter and frame strategies for therapy development in future.
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Affiliation(s)
- Georg von Jonquieres
- Translational Neuroscience Facility, Department of Physiology, School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Randwick, NSW, Australia
| | - Gary D Housley
- Translational Neuroscience Facility, Department of Physiology, School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
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13
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Stevens D, Leong CWY, Cheung H, Arciuli J, Vakulin A, Kim JW, Openshaw HD, Rae CD, Wong KKH, Dijk DJ, Siong Leow JW, Saini B, Grunstein RR, D'Rozario AL. Sleep spindle activity correlates with implicit statistical learning consolidation in untreated obstructive sleep apnea patients. Sleep Med 2021; 86:126-134. [PMID: 33707093 DOI: 10.1016/j.sleep.2021.01.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 01/21/2021] [Accepted: 01/24/2021] [Indexed: 12/24/2022]
Abstract
OBJECTIVE/BACKGROUND The aim of this study was to examine the relationship between overnight consolidation of implicit statistical learning with spindle frequency EEG activity and slow frequency delta power during non-rapid eye movement (NREM) sleep in obstructive sleep apnea (OSA). PATIENTS/METHODS Forty-seven OSA participants completed the experiment. Prior to sleep, participants performed a reaction time cover task containing hidden patterns of pictures, about which participants were not informed. After the familiarisation phase, participants underwent overnight polysomnography. 24 h after the familiarisation phase, participants performed a test phase to assess their learning of the hidden patterns, expressed as a percentage of the number of correctly identified patterns. Spindle frequency activity (SFA) and delta power (0.5-4.5 Hz), were quantified from NREM electroencephalography. Associations between statistical learning and sleep EEG, and OSA severity measures were examined. RESULTS SFA in NREM sleep in frontal and central brain regions was positively correlated with statistical learning scores (r = 0.41 to 0.31, p = 0.006 to 0.044). In multiple regression, greater SFA and longer sleep onset latency were significant predictors of better statistical learning performance. Delta power and OSA severity were not significantly correlated with statistical learning. CONCLUSIONS These findings suggest spindle activity may serve as a marker of statistical learning capability in OSA. This work provides novel insight into how altered sleep physiology relates to consolidation of implicitly learnt information in patients with moderate to severe OSA.
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Affiliation(s)
- David Stevens
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia; Adelaide Institute for Sleep Health: A Flinders Centre of Research Excellence, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | | | - Helena Cheung
- Faculty of Pharmacy, The University of Sydney, Sydney, Australia
| | - Joanne Arciuli
- College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
| | - Andrew Vakulin
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; Adelaide Institute for Sleep Health: A Flinders Centre of Research Excellence, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Jong-Won Kim
- Department of Healthcare IT, Inje University, Inje-ro 197, Kimhae, Kyunsangnam-do, 50834, South Korea
| | - Hannah D Openshaw
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia
| | - Caroline D Rae
- Neuroscience Research Australia (NeuRA), Sydney, Australia; School of Medical Sciences, The University of New South Wales, Sydney, Australia
| | - Keith K H Wong
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; Royal Prince Alfred Hospital, Sydney Health Partners, NSW, Australia; Sydney Medical School, The University of Sydney, NSW, Australia
| | - Derk-Jan Dijk
- Surrey Sleep Research Centre, University of Surrey, Guildford, UK; UK Dementia Research Institute at the University of Surrey, UK
| | - Josiah Wei Siong Leow
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia
| | - Bandana Saini
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; Faculty of Pharmacy, The University of Sydney, Sydney, Australia
| | - Ronald R Grunstein
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; Royal Prince Alfred Hospital, Sydney Health Partners, NSW, Australia; Sydney Medical School, The University of Sydney, NSW, Australia
| | - Angela L D'Rozario
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; The University of Sydney, School of Psychology, Brain and Mind Centre and Charles Perkins Centre, Australia.
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14
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Kashem MA, Šerý O, Pow DV, Rowlands BD, Rae CD, Balcar VJ. Actions of Alcohol in Brain: Genetics, Metabolomics, GABA Receptors, Proteomics and Glutamate Transporter GLAST/EAAT1. Curr Mol Pharmacol 2020; 14:138-149. [PMID: 32329706 DOI: 10.2174/1874467213666200424155244] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 03/06/2020] [Accepted: 03/10/2020] [Indexed: 11/22/2022]
Abstract
We present an overview of genetic, metabolomic, proteomic and neurochemical studies done mainly in our laboratories that could improve prediction, mechanistic understanding and possibly extend to diagnostics and treatment of alcoholism and alcohol addiction. Specific polymorphisms in genes encoding for interleukins 2 and 6, catechol-O-methyl transferase (COMT), monaminooxidase B (MAO B) and several other enzymes were identified as associated with altered risks of alcoholism in humans. A polymorphism in the gene for BDNF has been linked to the risk of developing deficiences in colour vision sometimes observed in alcoholics. Metabolomic studies of acute ethanol effects on guinea pig brain cortex in vitro, lead to the identification of specific subtypes of GABA(A) receptors involved in the actions of alcohol at various doses. Acute alcohol affected energy metabolism, oxidation and the production of actaldehyde and acetate; this could have specific consequences not only for the brain energy production/utilization but could influence the cytotoxicity of alcohol and impact the epigenetics (histone acetylation). It is unlikely that brain metabolism of ethanol occurs to any significant degree; the reduction in glucose metabolism following alcohol consumption is due to ethanol effects on receptors, such as α4β3δ GABA(A) receptors. Metabolomics using post-mortem human brain indicated that the catecholaminergic signalling may be preferentially affected by chronic excessive drinking. Changes in the levels of glutathione were consistent with the presence of severe oxidative stress. Proteomics of the post-mortem alcoholic brains identified a large number of proteins, the expression of which was altered by chronic alcohol, with those associated with brain energy metabolism among the most numerous. Neurochemical studies found the increased expression of glutamate transporter GLAST/EAAT1 in brain as one of the largest changes caused by alcoholism. Given that GLAST/EAAT1 is one of the most abundant proteins in the nervous tissue and is intimately associated with the function of the excitatory (glutamatergic) synapses, this may be among the most important effects of chronic alcohol on brain function. It has so far been observed mainly in the prefrontal cortex. We show several experiments suggesting that acute alcohol can translocate GLAST/EAAT1 in astrocytes towards the plasma membrane (and this effect is inhibited by the GABA(B) agonist baclofen) but neither the mechanism nor the specificity (to alcohol) of this phenomenon have been established. Furthermore, as GLAST/EAAT1 is also expressed in testes and sperm (and could also be affected there by chronic alcohol), the levels of GLAST/EAAT1 in sperm could be used as a diagnostic tool in testing the severity of alcoholism in human males. We conclude that the reviewed studies present a unique set of data which could help to predict the risk of developing alcohol dependence (genetics), to improve the understanding of the intoxicating actions of alcohol (metabolomics), to aid in assessing the extent of damage to brain cells caused by chronic excessive drinking (metabolomics and proteomics) and to point to molecular targets that could be used in the treatment and diagnosis of alcoholism and alcohol addiction.
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Affiliation(s)
- Mohammed Abul Kashem
- Bosch Institute and Discipline of Anatomy and Histology, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Omar Šerý
- Laboratory of Neurobiology and Molecular Psychiatry, Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - David V Pow
- UQ Centre for Clinical Research, The University of Queensland, Brisbane Queensland, Australia
| | - Benjamin D Rowlands
- Neuroscience Research Australia (NeuRA), The University of New South Wales, Sydney, Australia
| | - Caroline D Rae
- Neuroscience Research Australia (NeuRA), The University of New South Wales, Sydney, Australia
| | - Vladimir J Balcar
- Bosch Institute and Discipline of Anatomy and Histology, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
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15
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Williams S, Rae CD. Long reach of the NAAG family tree: An Editorial for "Evidence of NAAG-family tripeptide NAAG2 in the Drosophila nervous system" on page 38. J Neurochem 2020; 156:13-15. [PMID: 33197055 DOI: 10.1111/jnc.15213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 10/06/2020] [Indexed: 11/27/2022]
Abstract
The last common ancestor of humans and fruit flies lived about 800 million years ago, yet both of us have nervous systems that share a number of common important features, for example the use of glutamate as a neurotransmitter. We can now possibly add another common feature to the neural tissue of humans and fruit flies which is that of N-acetylaspartylglutamate (NAAG) peptides. This Editorial highlights an article by Kozik and coworkers in the current issue of the Journal of Neurochemistry, in which the authors report the discovery, in Drosophila melanogaster nervous system, of NAA-glutamylglutamate (NAAG2).
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Affiliation(s)
- Steve Williams
- Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK
| | - Caroline D Rae
- NeuRA Imaging, Neuroscience Research Australia, Randwick, NSW, Australia
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16
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Das A, Fröhlich D, Achanta LB, Rowlands BD, Housley GD, Klugmann M, Rae CD. Correction to: L-Aspartate, L-Ornithine and L-Ornithine-L-Aspartate (LOLA) and Their Impact on Brain Energy Metabolism. Neurochem Res 2020; 45:2527. [PMID: 32638216 DOI: 10.1007/s11064-020-03087-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The original version of this published article, the bottom right hand panels of Figs. 3-6 were labelled as "Isotopomers formed from [1-13C]D-glucose". This is incorrect and should read "Isotopomers formed from [1,2-13C]acetate". This has been corrected by publishing this correction article.
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Affiliation(s)
- Abhijit Das
- Neuroscience Research Australia, Barker St, Randwick, NSW, 2031, Australia.,School of Medical Sciences, The University of New South Wales, Sydney, NSW, Australia
| | - Dominik Fröhlich
- Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Kensington, 2052, Australia
| | - Lavanya B Achanta
- Neuroscience Research Australia, Barker St, Randwick, NSW, 2031, Australia.,Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Kensington, 2052, Australia
| | - Benjamin D Rowlands
- Neuroscience Research Australia, Barker St, Randwick, NSW, 2031, Australia.,Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Kensington, 2052, Australia
| | - Gary D Housley
- Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Kensington, 2052, Australia
| | - Matthias Klugmann
- Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Kensington, 2052, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Barker St, Randwick, NSW, 2031, Australia. .,School of Medical Sciences, The University of New South Wales, Sydney, NSW, Australia.
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17
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Das A, Fröhlich D, Achanta LB, Rowlands BD, Housley GD, Klugmann M, Rae CD. L-Aspartate, L-Ornithine and L-Ornithine-L-Aspartate (LOLA) and Their Impact on Brain Energy Metabolism. Neurochem Res 2020; 45:1438-1450. [PMID: 32424601 DOI: 10.1007/s11064-020-03044-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 04/25/2020] [Accepted: 04/29/2020] [Indexed: 12/11/2022]
Abstract
L-Ornithine-L-aspartate (LOLA), a crystalline salt, is used primarily in the management of hepatic encephalopathy. The degree to which it might penetrate the brain, and the effects it might have on metabolism in brain are poorly understood. Here, to investigate the effects of LOLA on brain energy metabolism we incubated brain cortical tissue slices from guinea pig (Cavea porcellus) with the constituent amino acids of LOLA, L-ornithine or L-aspartate, as well as LOLA, in the presence of [1-13C]D-glucose and [1,2-13C]acetate; these labelled substrates are useful indicators of brain metabolic activity. L-Ornithine produced significant "sedative" effects on brain slice metabolism, most likely via conversion of ornithine to GABA via the ornithine aminotransferase pathway, while L-aspartate showed concentration-dependent excitatory effects. The metabolic effects of LOLA reflected a mix of these two different processes and were concentration-dependent. We also investigated the effect of an intraperitoneal bolus injection of L-ornithine, L-aspartate or LOLA on levels of metabolites in kidney, liver and brain cortex and brain stem in mice (C57Bl6J) 1 h later. No significant changes in metabolite levels were seen following the bolus injection of L-aspartate, most likely due to rapid metabolism of aspartate before reaching the target tissue. Brain cortex glutamate was decreased by L-ornithine but no other brain effects were observed with any other compound. Kidney levels of aspartate were increased after injection of L-ornithine and LOLA which may be due to interference by ornithine with the kidney urea cycle. It is likely that without optimising chronic intravenous infusion, LOLA has minimal impact on healthy brain energy metabolism due to systemic clearance and the blood - brain barrier.
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Affiliation(s)
- Abhijit Das
- Neuroscience Research Australia, Barker St, Randwick, NSW, 2031, Australia.,School of Medical Sciences, The University of New South Wales, Sydney, NSW, Australia
| | - Dominik Fröhlich
- Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Kensington, 2052, Australia
| | - Lavanya B Achanta
- Neuroscience Research Australia, Barker St, Randwick, NSW, 2031, Australia.,Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Kensington, 2052, Australia
| | - Benjamin D Rowlands
- Neuroscience Research Australia, Barker St, Randwick, NSW, 2031, Australia.,Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Kensington, 2052, Australia
| | - Gary D Housley
- Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Kensington, 2052, Australia
| | - Matthias Klugmann
- Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Kensington, 2052, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Barker St, Randwick, NSW, 2031, Australia. .,School of Medical Sciences, The University of New South Wales, Sydney, NSW, Australia.
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18
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Howdle GC, Quidé Y, Kassem MS, Johnson K, Rae CD, Brew BJ, Cysique LA. Brain amyloid in virally suppressed HIV-associated neurocognitive disorder. Neurol Neuroimmunol Neuroinflamm 2020; 7:7/4/e739. [PMID: 32393651 PMCID: PMC7238897 DOI: 10.1212/nxi.0000000000000739] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 04/06/2020] [Indexed: 01/23/2023]
Abstract
Objective To determine whether virally suppressed HIV neuropathogenesis, a chronic neuroinflammatory state, promotes abnormal brain amyloid deposition. Methods A total of 10 men with virally suppressed HIV-associated neurocognitive disorder (HAND), aged 46–68 years, underwent 11C-labeled Pittsburgh compound B PET. Data from the Australian Imaging, Biomarkers and Lifestyle (AIBL), including 39 cognitively normal individuals (aged 60–74 years), 7 individuals with mild cognitive impairment (MCI) (aged 64–71 years), and 11 individuals with Alzheimer disease (AD) (aged 55–74 years), were used as reference. Apart from more women, the AIBL cohort was demographically comparable with the HIV sample. Also, the AIBL PET data did not differ by sex. Cerebellum standardized uptake value ratio amyloid values within 22 regions of interest were estimated. In the HIV sample, apolipoprotein E (APOE) was available in 80%, CSF biomarkers in 60%, and 8–10 years of long-term health outcomes in 100%. Results HAND and the AIBL group with no cognitive deficits had similar amyloid deposition, which was lower than that in both the MCI and AD groups. At the individual level, one HAND case showed high amyloid deposition consistent with AD. This case also had a CSF-AD–like profile and an E4/E4 for APOE. Clinically, this case declined over 18 years with mild HAND symptoms first, followed by progressive memory decline 8–9 years after the study PET, then progression to severe dementia within 2–3 years, and lived a further 6 years. Another HAND case showed increased amyloid deposition restricted to the hippocampi. Two other HAND cases showed abnormally decreased amyloid in subcortical areas. Conclusions Relative to cognitively normal older controls, brain amyloid burden does not differ in virally suppressed HAND at the group level. However, individual analyses show that abnormally high and low amyloid burden occur.
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Affiliation(s)
- Gemma C Howdle
- From the Neuroscience Research Australia (G.C.H., Y.Q., M.S.K., C.D.R., L.A.C.), Randwick; School of Psychiatry (Y.Q.), UNSW Sydney; School of Medical Sciences (M.S.K., C.D.R, B.J.B), UNSW Sydney; Peter Duncan Neuroscience Research Unit (K.J., B.J.B, L.A.C), St. Vincent's Centre for Applied Medical Research; Departments of Neurology and Immunology (K.J., B.J.B.), St. Vincent's Hospital, Darlinghurst, Australia; and School of Psychology (L.A.C.), UNSW Sydney, NSW, Australia
| | - Yann Quidé
- From the Neuroscience Research Australia (G.C.H., Y.Q., M.S.K., C.D.R., L.A.C.), Randwick; School of Psychiatry (Y.Q.), UNSW Sydney; School of Medical Sciences (M.S.K., C.D.R, B.J.B), UNSW Sydney; Peter Duncan Neuroscience Research Unit (K.J., B.J.B, L.A.C), St. Vincent's Centre for Applied Medical Research; Departments of Neurology and Immunology (K.J., B.J.B.), St. Vincent's Hospital, Darlinghurst, Australia; and School of Psychology (L.A.C.), UNSW Sydney, NSW, Australia
| | - Mustafa S Kassem
- From the Neuroscience Research Australia (G.C.H., Y.Q., M.S.K., C.D.R., L.A.C.), Randwick; School of Psychiatry (Y.Q.), UNSW Sydney; School of Medical Sciences (M.S.K., C.D.R, B.J.B), UNSW Sydney; Peter Duncan Neuroscience Research Unit (K.J., B.J.B, L.A.C), St. Vincent's Centre for Applied Medical Research; Departments of Neurology and Immunology (K.J., B.J.B.), St. Vincent's Hospital, Darlinghurst, Australia; and School of Psychology (L.A.C.), UNSW Sydney, NSW, Australia
| | - Kate Johnson
- From the Neuroscience Research Australia (G.C.H., Y.Q., M.S.K., C.D.R., L.A.C.), Randwick; School of Psychiatry (Y.Q.), UNSW Sydney; School of Medical Sciences (M.S.K., C.D.R, B.J.B), UNSW Sydney; Peter Duncan Neuroscience Research Unit (K.J., B.J.B, L.A.C), St. Vincent's Centre for Applied Medical Research; Departments of Neurology and Immunology (K.J., B.J.B.), St. Vincent's Hospital, Darlinghurst, Australia; and School of Psychology (L.A.C.), UNSW Sydney, NSW, Australia
| | - Caroline D Rae
- From the Neuroscience Research Australia (G.C.H., Y.Q., M.S.K., C.D.R., L.A.C.), Randwick; School of Psychiatry (Y.Q.), UNSW Sydney; School of Medical Sciences (M.S.K., C.D.R, B.J.B), UNSW Sydney; Peter Duncan Neuroscience Research Unit (K.J., B.J.B, L.A.C), St. Vincent's Centre for Applied Medical Research; Departments of Neurology and Immunology (K.J., B.J.B.), St. Vincent's Hospital, Darlinghurst, Australia; and School of Psychology (L.A.C.), UNSW Sydney, NSW, Australia
| | - Bruce J Brew
- From the Neuroscience Research Australia (G.C.H., Y.Q., M.S.K., C.D.R., L.A.C.), Randwick; School of Psychiatry (Y.Q.), UNSW Sydney; School of Medical Sciences (M.S.K., C.D.R, B.J.B), UNSW Sydney; Peter Duncan Neuroscience Research Unit (K.J., B.J.B, L.A.C), St. Vincent's Centre for Applied Medical Research; Departments of Neurology and Immunology (K.J., B.J.B.), St. Vincent's Hospital, Darlinghurst, Australia; and School of Psychology (L.A.C.), UNSW Sydney, NSW, Australia
| | - Lucette A Cysique
- From the Neuroscience Research Australia (G.C.H., Y.Q., M.S.K., C.D.R., L.A.C.), Randwick; School of Psychiatry (Y.Q.), UNSW Sydney; School of Medical Sciences (M.S.K., C.D.R, B.J.B), UNSW Sydney; Peter Duncan Neuroscience Research Unit (K.J., B.J.B, L.A.C), St. Vincent's Centre for Applied Medical Research; Departments of Neurology and Immunology (K.J., B.J.B.), St. Vincent's Hospital, Darlinghurst, Australia; and School of Psychology (L.A.C.), UNSW Sydney, NSW, Australia.
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19
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Naylor B, Hesam-Shariati N, McAuley JH, Boag S, Newton-John T, Rae CD, Gustin SM. Reduced Glutamate in the Medial Prefrontal Cortex Is Associated With Emotional and Cognitive Dysregulation in People With Chronic Pain. Front Neurol 2019; 10:1110. [PMID: 31849800 PMCID: PMC6903775 DOI: 10.3389/fneur.2019.01110] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 10/03/2019] [Indexed: 01/03/2023] Open
Abstract
A decrease in glutamate in the medial prefrontal cortex (mPFC) has been extensively found in animal models of chronic pain. Given that the mPFC is implicated in emotional appraisal, cognition and extinction of fear, could a potential decrease in glutamate be associated with increased pessimistic thinking, fear and worry symptoms commonly found in people with chronic pain? To clarify this question, 19 chronic pain subjects and 19 age- and gender-matched control subjects without pain underwent magnetic resonance spectroscopy. Both groups also completed the Temperament and Character, the Beck Depression and the State Anxiety Inventories to measure levels of harm avoidance, depression, and anxiety, respectively. People with chronic pain had significantly higher scores in harm avoidance, depression and anxiety compared to control subjects without pain. High levels of harm avoidance are characterized by excessive worry, pessimism, fear, doubt and fatigue. Individuals with chronic pain showed a significant decrease in mPFC glutamate levels compared to control subjects without pain. In people with chronic pain mPFC glutamate levels were significantly negatively correlated with harm avoidance scores. This means that the lower the concentration of glutamate in the mPFC, the greater the total scores of harm avoidance. High scores are associated with fearfulness, pessimism, and fatigue-proneness. We suggest that chronic pain, particularly the stress-induced release of glucocorticoids, induces changes in glutamate transmission in the mPFC, thereby influencing cognitive, and emotional processing. Thus, in people with chronic pain, regulation of fear, worry, negative thinking and fatigue is impaired.
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Affiliation(s)
- Brooke Naylor
- Neuroscience Research Australia, Sydney, NSW, Australia.,School of Psychology, Macquarie University, Sydney, NSW, Australia
| | | | - James H McAuley
- Neuroscience Research Australia, Sydney, NSW, Australia.,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Simon Boag
- School of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Toby Newton-John
- Graduate School of Health, University of Technology Sydney, Sydney, NSW, Australia
| | | | - Sylvia M Gustin
- Neuroscience Research Australia, Sydney, NSW, Australia.,School of Psychology, University of New South Wales, Sydney, NSW, Australia
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20
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Mancini F, Wang AP, Schira MM, Isherwood ZJ, McAuley JH, Iannetti GD, Sereno MI, Moseley GL, Rae CD. Fine-Grained Mapping of Cortical Somatotopies in Chronic Complex Regional Pain Syndrome. J Neurosci 2019; 39:9185-9196. [PMID: 31570533 PMCID: PMC6855684 DOI: 10.1523/jneurosci.2005-18.2019] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 08/13/2019] [Accepted: 08/19/2019] [Indexed: 01/21/2023] Open
Abstract
It has long been thought that severe chronic pain conditions, such as complex regional pain syndrome (CRPS), are not only associated with, but even maintained by a reorganization of the somatotopic representation of the affected limb in primary somatosensory cortex (S1). This notion has driven treatments that aim to restore S1 representations in CRPS patients, such as sensory discrimination training and mirror therapy. However, this notion is based on both indirect and incomplete evidence obtained with imaging methods with low spatial resolution. Here, we used fMRI to characterize the S1 representation of the affected and unaffected hand in humans (of either sex) with unilateral CRPS. The cortical area, location, and geometry of the S1 representation of the CRPS hand were largely comparable with those of both the unaffected hand and healthy controls. We found no differential relation between affected versus unaffected hand map measures and clinical measures (pain severity, upper limb disability, disease duration). Thus, if any map reorganization occurs, it does not appear to be directly related to pain and disease severity. These findings compel us to reconsider the cortical mechanisms underlying CRPS and the rationale for interventions that aim to "restore" somatotopic representations to treat pain.SIGNIFICANCE STATEMENT This study shows that the spatial map of the fingers in somatosensory cortex is largely preserved in chronic complex regional pain syndrome (CRPS). These findings challenge the treatment rationale for restoring somatotopic representations in complex regional pain syndrome patients.
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Affiliation(s)
- Flavia Mancini
- Computational and Biological Learning, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom,
- Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6BT, United Kingdom
| | - Audrey P Wang
- Neuroscience Research Australia, Sydney, New South Wales 2031, Australia
- Faculty of Medicine and Health and Faculty of Health Sciences, University of Sydney, Sydney, New South Wales 2145, Australia
| | - Mark M Schira
- Neuroscience Research Australia, Sydney, New South Wales 2031, Australia
- School of Psychology, University of Wollongong, Wollongong, New South Wales 2522, Australia
| | - Zoey J Isherwood
- School of Psychology, University of Wollongong, Wollongong, New South Wales 2522, Australia
| | - James H McAuley
- Neuroscience Research Australia, Sydney, New South Wales 2031, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Giandomenico D Iannetti
- Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6BT, United Kingdom
- Neuroscience and Behaviour Laboratory, Istituto Italiano di Tecnologia, Rome 00161, Italy
| | - Martin I Sereno
- Department of Psychology, University College London, London WC1E 6BT, United Kingdom
- Department of Psychology, San Diego State University, San Diego, California 92182, and
| | - G Lorimer Moseley
- Neuroscience Research Australia, Sydney, New South Wales 2031, Australia
- IMPACT in Health, University of South Australia, Adelaide, South Australia, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Sydney, New South Wales 2031, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia
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21
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Haebich KM, Pride NA, Walsh KS, Chisholm A, Rouel M, Maier A, Anderson V, Barton B, Silk T, Korgaonkar M, Seal M, Lami F, Lorenzo J, Williams K, Dabscheck G, Rae CD, Kean M, North KN, Payne JM. Understanding autism spectrum disorder and social functioning in children with neurofibromatosis type 1: protocol for a cross-sectional multimodal study. BMJ Open 2019; 9:e030601. [PMID: 31558455 PMCID: PMC6773330 DOI: 10.1136/bmjopen-2019-030601] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Children with the single-gene disorder neurofibromatosis type 1 (NF1) appear to be at an increased risk for autism spectrum disorder (ASD) and exhibit a unique social-cognitive phenotype compared with children with idiopathic ASD. A complete framework is required to better understand autism in NF1, from neurobiological levels through to behavioural and functional outcomes. The primary aims of this study are to establish the frequency of ASD in children with NF1, examine the social cognitive phenotype, investigate the neuropsychological processes contributing to ASD symptoms and poor social functioning in children with NF1, and to investigate novel structural and functional neurobiological markers of ASD and social dysfunction in NF1. The secondary aim of this study is to compare the neuropsychological and neurobiological features of ASD in children with NF1 to a matched group of patients with idiopathic ASD. METHODS AND ANALYSIS This is an international, multisite, prospective, cross-sectional cohort study of children with NF1, idiopathic ASD and typically developing (TD) controls. Participants will be 200 children with NF1 (3-15 years of age), 70 TD participants (3-15 years) and 35 children with idiopathic ASD (7-15 years). Idiopathic ASD and NF1 cases will be matched on age, sex and intelligence. All participants will complete cognitive testing and parents will rate their child's behaviour on standardised questionnaires. Neuroimaging will be completed by a subset of participants aged 7 years and older. Children with NF1 that screen at risk for ASD on the parent-rated Social Responsiveness Scale 2nd Edition will be invited back to complete the Autism Diagnostic Observation Scale 2nd Edition and Autism Diagnostic Interview-Revised to determine whether they fulfil ASD diagnostic criteria. ETHICS AND DISSEMINATION This study has hospital ethics approval and the results will be disseminated through peer-reviewed publications and international conferences.
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Affiliation(s)
- Kristina M Haebich
- Brain and Mind, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Parkville, VIC, Australia
| | - Natalie A Pride
- Kids Neuroscience Centre, The Children's Hospital at Westmead, Westmead, NSW, Australia
- Discipline of Child and Adolescent Health, University of Sydney Medical School, Westmead, NSW, Australia
| | - Karin S Walsh
- Center for Neuroscience and Behavioral Medicine, Children's National Health System, Washington, DC, United States
- Departments of Pediatrics and Psychiatry, The George Washington University School of Medicine, Washington, DC, United States
| | - Anita Chisholm
- Brain and Mind, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Parkville, VIC, Australia
| | - Melissa Rouel
- Kids Neuroscience Centre, The Children's Hospital at Westmead, Westmead, NSW, Australia
| | - Alice Maier
- Brain and Mind, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Vicki Anderson
- Brain and Mind, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Parkville, VIC, Australia
| | - Belinda Barton
- Kids Neuroscience Centre, The Children's Hospital at Westmead, Westmead, NSW, Australia
- Discipline of Child and Adolescent Health, University of Sydney Medical School, Westmead, NSW, Australia
- Children's Hospital Education Research Institute, The Children's Hospital at Westmead, Westmead, NSW, Australia
| | - Tim Silk
- School of Psychology, Deakin University, Burwood, VIC, Australia
| | - Mayuresh Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia
| | - Marc Seal
- Developmental Imaging, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Francesca Lami
- Brain and Mind, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Jennifer Lorenzo
- Kids Neuroscience Centre, The Children's Hospital at Westmead, Westmead, NSW, Australia
| | - Katrina Williams
- Department of Paediatrics, Monash University, Clayton, VIC, Australia
| | - Gabriel Dabscheck
- Department of Neurology, Royal Children's Hospital Melbourne, Parkville, VIC, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, University of New South Wales, Randwick, NSW, Australia
| | - Michael Kean
- Imaging Department, Royal Children's Hospital Melbourne, Parkville, VIC, Australia
| | - Kathryn N North
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Parkville, VIC, Australia
- Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Jonathan M Payne
- Brain and Mind, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Parkville, VIC, Australia
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22
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Lees B, Mewton L, Stapinski LA, Squeglia LM, Rae CD, Teesson M. Neurobiological and Cognitive Profile of Young Binge Drinkers: a Systematic Review and Meta-Analysis. Neuropsychol Rev 2019; 29:357-385. [PMID: 31512192 PMCID: PMC7231524 DOI: 10.1007/s11065-019-09411-w] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Accepted: 07/12/2019] [Indexed: 12/19/2022]
Abstract
This review provides the first systematic and quantitative synthesis of the literature examining the relationship between binge drinking, cognition, brain structure and function in youth aged 10 to 24 years. PubMed, EMBASE, Medline, PsychINFO and ProQuest were searched for neuroimaging, neurophysiological, and neuropsychological studies. A total of 58 studies (21 neuroimaging, 16 neurophysiological, 21 neuropsychological) met the eligibility criteria and were included in the review. Overall, abnormal or delayed development of key frontal executive-control regions may predispose youth to binge drink. These abnormalities appear to be further exacerbated by the uptake of binge drinking, in addition to alcohol-related neural aberrations in reward-seeking and incentive salience regions, indexed by cognitive deficits and maladaptive alcohol associations. A meta-analysis of neuropsychological correlates identified that binge drinking in youth was associated with a small overall neurocognitive deficit (g = -0.26) and specific deficits in decision-making (g = -1.70), and inhibition (g = -0.39). Using the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) Evidence Profile, the certainty in outcomes ranged from very low to low. Future prospective longitudinal studies should address concomitant factors, exposure thresholds, and age-related vulnerabilities of binge drinking, as well as the degree of recovery following discontinuation of use.
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Affiliation(s)
- Briana Lees
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, 2006, Australia.
| | - Louise Mewton
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, 2031, Australia
| | - Lexine A Stapinski
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, 2006, Australia
| | - Lindsay M Squeglia
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Caroline D Rae
- Neuroscience Research Australia, University of New South Wales, Sydney, NSW, 2031, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Maree Teesson
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, 2006, Australia
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23
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D'Rozario AL, Bartlett DJ, Wong KKH, Sach T, Yang Q, Grunstein RR, Rae CD. Brain bioenergetics during resting wakefulness are related to neurobehavioral deficits in severe obstructive sleep apnea: a 31P magnetic resonance spectroscopy study. Sleep 2019; 41:5026697. [PMID: 29868772 DOI: 10.1093/sleep/zsy117] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Indexed: 11/15/2022] Open
Abstract
Study Objectives Obstructive sleep apnea (OSA) is a well-established cause of impaired daytime functioning. However, there is a complex inter-individual variability in neurobehavioral performance in OSA patients. We previously reported compromised brain bioenergetics during apneic sleep in severe OSA. In this study, we investigate whether brain bioenergetics during resting wakefulness are related to neurobehavioral performance. Methods Patients attended the sleep laboratory in the evening and were kept awake over-night. Repeated testing on the 10-minute psychomotor vigilance task (PVT, at 9 pm, 11 pm, 1 am, 3 am, 5 am) and 30-minute AusEd driving simulator task (9 pm and 5 am) was performed. Brain bioenergetics (inorganic phosphate/adenosine triphosphate ratio, Pi/ATP) were measured in the temporal lobe during resting wakefulness at 7 am in a 1.5T MRI scanner using phosphorus magnetic resonance spectroscopy (31P MRS). Results Fifteen males with severe OSA (age 47.7 ± 10.4 years, body mass index [BMI] 34 ± 6.6 kg/m2, apnea hypopnea index [AHI] 79.7 ± 21.8/hour) were investigated. A higher Pi/ATP ratio in the brain (lower phosphorylation potential) was correlated with worse PVT and driving simulator performance across the testing period (PVT lapses: r = 0.632, r2 = 0.399, p = 0.012; and AusEd braking reaction time: r = 0.609, p = 0.016). In contrast, the conventional AHI measure of disease severity was not significantly correlated with performance (PVT lapses: r = -0.084, p = 0.8; and AusEd braking reaction time: r = -0.326, p = 0.2). Conclusions Lower phosphorylation potential was associated with worse performance. Compromised brain bioenergetics may in part underlie the neurobehavioral deficits in untreated OSA. We speculate that better brain bioenergetics may explain why some OSA patients are relatively asymptomatic compared with others.
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Affiliation(s)
- Angela L D'Rozario
- CIRUS, Woolcock Institute of Medical Research, University of Sydney and Sydney Health Partners, Sydney, New South Wales, Australia
- School of Psychology, Faculty of Science, Brain and Mind Centre and Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Delwyn J Bartlett
- CIRUS, Woolcock Institute of Medical Research, University of Sydney and Sydney Health Partners, Sydney, New South Wales, Australia
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Keith K H Wong
- CIRUS, Woolcock Institute of Medical Research, University of Sydney and Sydney Health Partners, Sydney, New South Wales, Australia
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
- Respiratory and Sleep Disorders Department, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Toos Sach
- Rayscan Imaging, Goulburn St, Liverpool, New South Wales, Australia
| | - Qiao Yang
- CIRUS, Woolcock Institute of Medical Research, University of Sydney and Sydney Health Partners, Sydney, New South Wales, Australia
| | - Ronald R Grunstein
- CIRUS, Woolcock Institute of Medical Research, University of Sydney and Sydney Health Partners, Sydney, New South Wales, Australia
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
- Respiratory and Sleep Disorders Department, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
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24
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Wang AP, Butler AA, Valentine JD, Rae CD, McAuley JH, Gandevia SC, Moseley GL. A Novel Finger Illusion Reveals Reduced Weighting of Bimanual Hand Cortical Representations in People With Complex Regional Pain Syndrome. The Journal of Pain 2019; 20:171-180. [DOI: 10.1016/j.jpain.2018.08.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 07/31/2018] [Accepted: 08/27/2018] [Indexed: 11/17/2022]
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25
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Di Pietro F, Macey PM, Rae CD, Alshelh Z, Macefield VG, Vickers ER, Henderson LA. The relationship between thalamic GABA content and resting cortical rhythm in neuropathic pain. Hum Brain Mapp 2018; 39:1945-1956. [PMID: 29341331 DOI: 10.1002/hbm.23973] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2017] [Revised: 12/14/2017] [Accepted: 01/05/2018] [Indexed: 12/21/2022] Open
Abstract
Recurrent thalamocortical connections are integral to the generation of brain rhythms and it is thought that the inhibitory action of the thalamic reticular nucleus is critical in setting these rhythms. Our work and others' has suggested that chronic pain that develops following nerve injury, that is, neuropathic pain, results from altered thalamocortical rhythm, although whether this dysrhythmia is associated with thalamic inhibitory function remains unknown. In this investigation, we used electroencephalography and magnetic resonance spectroscopy to investigate cortical power and thalamic GABAergic concentration in 20 patients with neuropathic pain and 20 pain-free controls. First, we found thalamocortical dysrhythmia in chronic orofacial neuropathic pain; patients displayed greater power than controls over the 4-25 Hz frequency range, most marked in the theta and low alpha bands. Furthermore, sensorimotor cortex displayed a strong positive correlation between cortical power and pain intensity. Interestingly, we found no difference in thalamic GABA concentration between pain subjects and control subjects. However, we demonstrated significant linear relationships between thalamic GABA concentration and enhanced cortical power in pain subjects but not controls. Whilst the difference in relationship between thalamic GABA concentration and resting brain rhythm between chronic pain and control subjects does not prove a cause and effect link, it is consistent with a role for thalamic inhibitory neurotransmitter release, possibly from the thalamic reticular nucleus, in altered brain rhythms in individuals with chronic neuropathic pain.
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Affiliation(s)
- Flavia Di Pietro
- Department of Anatomy and Histology, Sydney Medical School, University of Sydney, Sydney, Australia
| | - Paul M Macey
- UCLA School of Nursing and Brain Research Institute, University of California, Los Angeles, California
| | | | - Zeynab Alshelh
- Department of Anatomy and Histology, Sydney Medical School, University of Sydney, Sydney, Australia
| | - Vaughan G Macefield
- Neuroscience Research Australia, Sydney, Australia.,College of Medicine, Mohammed Bin Rashid University of Medicine & Health Sciences, Dubai, United Arab Emirates
| | - E Russell Vickers
- Department of Anatomy and Histology, Sydney Medical School, University of Sydney, Sydney, Australia
| | - Luke A Henderson
- Department of Anatomy and Histology, Sydney Medical School, University of Sydney, Sydney, Australia
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26
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Miller CB, Rae CD, Green MA, Yee BJ, Gordon CJ, D’Rozario AL, Kyle SD, Espie CA, Grunstein RR, Bartlett DJ. An Objective Short Sleep Insomnia Disorder Subtype Is Associated With Reduced Brain Metabolite Concentrations In Vivo: A Preliminary Magnetic Resonance Spectroscopy Assessment. Sleep 2017; 40:4093919. [DOI: 10.1093/sleep/zsx148] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
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27
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Achanta LB, Rowlands BD, Thomas DS, Housley GD, Rae CD. β-Hydroxybutyrate Boosts Mitochondrial and Neuronal Metabolism but is not Preferred Over Glucose Under Activated Conditions. Neurochem Res 2017; 42:1710-1723. [DOI: 10.1007/s11064-017-2228-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Revised: 03/06/2017] [Accepted: 03/09/2017] [Indexed: 12/21/2022]
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28
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Rowlands BD, Klugmann M, Rae CD. Acetate metabolism does not reflect astrocytic activity, contributes directly to GABA synthesis, and is increased by silent information regulator 1 activation. J Neurochem 2017; 140:903-918. [PMID: 27925207 DOI: 10.1111/jnc.13916] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 11/22/2016] [Accepted: 11/22/2016] [Indexed: 12/26/2022]
Abstract
[13 C]Acetate is known to label metabolites preferentially in astrocytes rather than neurons and it has consequently been used as a marker for astrocytic activity. Recent discoveries suggest that control of acetate metabolism and its contributions to the synthesis of metabolites in brain is not as simple as first thought. Here, using a Guinea pig brain cortical tissue slice model metabolizing [1-13 C]D-glucose and [1,2-13 C]acetate, we investigated control of acetate metabolism and the degree to which it reflects astrocytic activity. Using a range of [1,2-13 C]acetate concentrations, we found that acetate is a poor substrate for metabolism and will inhibit metabolism of itself and of glucose at concentrations in excess of 2 mmol/L. By activating astrocytes using potassium depolarization, we found that use of [1,2-13 C]acetate to synthesize glutamine decreases significantly under these conditions showing that acetate metabolism does not necessarily reflect astrocytic activity. By blocking synthesis of glutamine using methionine sulfoximine, we found that significant amount of [1,2-13 C]acetate are still incorporated into GABA and its metabolic precursors in neurons, with around 30% of the GABA synthesized from [1,2-13 C]acetate likely to be made directly in neurons rather than from glutamine supplied by astrocytes. Finally, to test whether activity of the acetate metabolizing enzyme acetyl-CoA synthetase is under acetylation control in the brain, we incubated slices with the AceCS1 deacetylase silent information regulator 1 (SIRT1) activator SRT 1720 and showed consequential increased incorporation of [1,2-13 C]acetate into metabolites. Taken together, these data show that acetate metabolism is not directly nor exclusively related to astrocytic metabolic activity, that use of acetate is related to enzyme acetylation and that acetate is directly metabolized to a significant degree in GABAergic neurons. Changes in acetate metabolism should be interpreted as modulation of metabolism through changes in cellular energetic status via altered enzyme acetylation levels rather than simply as an adjustment of glial-neuronal metabolic activity.
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Affiliation(s)
- Benjamin D Rowlands
- Neuroscience Research Australia, Randwick, NSW, Australia.,Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Sydney, NSW, Australia
| | - Matthias Klugmann
- Neuroscience Research Australia, Randwick, NSW, Australia.,Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Sydney, NSW, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Randwick, NSW, Australia.,School of Medical Sciences, The University of New South Wales, Sydney, NSW, Australia
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29
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Furlong TM, Duncan JR, Corbit LH, Rae CD, Rowlands BD, Maher AD, Nasrallah FA, Milligan CJ, Petrou S, Lawrence AJ, Balleine BW. Toluene inhalation in adolescent rats reduces flexible behaviour in adulthood and alters glutamatergic and GABAergic signalling. J Neurochem 2016; 139:806-822. [PMID: 27696399 DOI: 10.1111/jnc.13858] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 09/15/2016] [Accepted: 09/18/2016] [Indexed: 12/24/2022]
Abstract
Toluene is a commonly abused inhalant that is easily accessible to adolescents. Despite the increasing incidence of use, our understanding of its long-term impact remains limited. Here, we used a range of techniques to examine the acute and chronic effects of toluene exposure on glutameteric and GABAergic function, and on indices of psychological function in adult rats after adolescent exposure. Metabolomics conducted on cortical tissue established that acute exposure to toluene produces alterations in cellular metabolism indicative of a glutamatergic and GABAergic profile. Similarly, in vitro electrophysiology in Xenopus oocytes found that acute toluene exposure reduced NMDA receptor signalling. Finally, in an adolescent rodent model of chronic intermittent exposure to toluene (10 000 ppm), we found that, while toluene exposure did not affect initial learning, it induced a deficit in updating that learning when response-outcome relationships were reversed or degraded in an instrumental conditioning paradigm. There were also group differences when more effort was required to obtain the reward; toluene-exposed animals were less sensitive to progressive ratio schedules and to delayed discounting. These behavioural deficits were accompanied by changes in subunit expression of both NMDA and GABA receptors in adulthood, up to 10 weeks after the final exposure to toluene in the hippocampus, prefrontal cortex and ventromedial striatum; regions with recognized roles in behavioural flexibility and decision-making. Collectively, our data suggest that exposure to toluene is sufficient to induce adaptive changes in glutamatergic and GABAergic systems and in adaptive behaviour that may underlie the deficits observed following adolescent inhalant abuse, including susceptibility to further drug-use.
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Affiliation(s)
- Teri M Furlong
- Brain & Mind Centre, University of Sydney, Sydney, New South Wales, Australia.,School of Psychology, University of Sydney, Sydney, New South Wales, Australia
| | - Jhodie R Duncan
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia.,Department of Anatomy and Neuroscience, University of Melbourne, Melbourne, Victoria, Australia
| | - Laura H Corbit
- School of Psychology, University of Sydney, Sydney, New South Wales, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,School of Medical Sciences, University of NSW, Kensington, New South Wales, Australia
| | - Benjamin D Rowlands
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,School of Medical Sciences, University of NSW, Kensington, New South Wales, Australia
| | - Anthony D Maher
- Neuroscience Research Australia, Randwick, New South Wales, Australia
| | | | - Carol J Milligan
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
| | - Steven Petrou
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
| | - Andrew J Lawrence
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
| | - Bernard W Balleine
- Brain & Mind Centre, University of Sydney, Sydney, New South Wales, Australia.,School of Psychology, University of NSW, Kensington, New South Wales, Australia
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30
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Rae CD, Bröer S. Creatine as a booster for human brain function. How might it work? Neurochem Int 2015; 89:249-59. [PMID: 26297632 DOI: 10.1016/j.neuint.2015.08.010] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Revised: 08/04/2015] [Accepted: 08/15/2015] [Indexed: 01/19/2023]
Abstract
Creatine, a naturally occurring nitrogenous organic acid found in animal tissues, has been found to play key roles in the brain including buffering energy supply, improving mitochondrial efficiency, directly acting as an anti-oxidant and acting as a neuroprotectant. Much of the evidence for these roles has been established in vitro or in pre-clinical studies. Here, we examine the roles of creatine and explore the current status of translation of this research into use in humans and the clinic. Some further possibilities for use of creatine in humans are also discussed.
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Affiliation(s)
- Caroline D Rae
- Neuroscience Research Australia, Barker St Randwick, NSW 2031, Australia; School of Medical Sciences, UNSW, High Street, Randwick, NSW 2052, Australia.
| | - Stefan Bröer
- Research School of Biology, The Australian National University, Canberra, ACT 0200, Australia
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31
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McKenna MC, Rae CD. A new role for α-ketoglutarate dehydrogenase complex: regulating metabolism through post-translational modification of other enzymes. J Neurochem 2015; 134:3-6. [PMID: 26052752 DOI: 10.1111/jnc.13150] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 04/28/2015] [Accepted: 04/28/2015] [Indexed: 12/26/2022]
Abstract
This Editorial highlights a study by Gibson et al. published in this issue of JNeurochem, in which the authors reveal a novel role for the α-ketoglutarate dehydrogenase complex (KGDHC) in post-translational modification of proteins. KGDHC may catalyze post-translational modification of itself as well as several other proteins by succinylation of lysine residues. The authors' report of an enzyme responsible for succinylation of key mitochondrial enzymes represents a major step toward our understanding of the complex functional metabolome. TCA, tricarboxylic acid; KG, α-ketoglutarate; KGDHC, α-ketoglutarate dehydrogenase complex; FUM, fumarase; MDH, malate dehydrogenase; ME, malic enzyme; GDH, glutamate dehydrogenase; AAT, aspartate aminotransferase; GS, glutamine synthetase; PAG, phosphate-activated glutaminase; SIRT3, silent information regulator 3; SIRT5, silent information regulator 5.
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Affiliation(s)
- Mary C McKenna
- Department of Pediatrics and Program in Neuroscience, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Caroline D Rae
- Neuroscience Research Australia and School of Medical Sciences UNSW, Randwick, NSW, Australia
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32
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Rowlands BD, Lau CL, Ryall JG, Thomas DS, Klugmann M, Beart PM, Rae CD. Silent information regulator 1 modulator resveratrol increases brain lactate production and inhibits mitochondrial metabolism, whereas SRT1720 increases oxidative metabolism. J Neurosci Res 2015; 93:1147-56. [PMID: 25677687 DOI: 10.1002/jnr.23570] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2014] [Revised: 01/16/2015] [Accepted: 01/16/2015] [Indexed: 12/26/2022]
Abstract
Silent information regulators (SIRTs) have been shown to deacetylate a range of metabolic enzymes, including those in glycolysis and the Krebs cycle, and thus alter their activity. SIRTs require NAD(+) for their activity, linking cellular energy status to enzyme activity. To examine the impact of SIRT1 modulation on oxidative metabolism, this study tests the effect of ligands that are either SIRT-activating compounds (resveratrol and SRT1720) or SIRT inhibitors (EX527) on the metabolism of (13)C-enriched substrates by guinea pig brain cortical tissue slices with (13)C and (1)H nuclear magnetic resonance spectroscopy. Resveratrol increased lactate labeling but decreased incorporation of (13)C into Krebs cycle intermediates, consistent with effects on AMPK and inhibition of the F0/F1-ATPase. By testing with resveratrol that was directly applied to astrocytes with a Seahorse analyzer, increased glycolytic shift and increased mitochondrial proton leak resulting from interactions of resveratrol with the mitochondrial electron transport chain were revealed. SRT1720, by contrast, stimulated incorporation of (13)C into Krebs cycle intermediates and reduced incorporation into lactate, although the inhibitor EX527 paradoxically also increased Krebs cycle (13)C incorporation. In summary, the various SIRT1 modulators show distinct acute effects on oxidative metabolism. The strong effects of resveratrol on the mitochondrial respiratory chain and on glycolysis suggest that caution should be used in attempts to increase bioavailability of this compound in the CNS.
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Affiliation(s)
- Benjamin D Rowlands
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,Department of Physiology and Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Randwick, New South Wales, Australia
| | - Chew Ling Lau
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - James G Ryall
- Stem Cell Metabolism and Regenerative Medicine Group, Basic and Clinical Myology Laboratory, Department of Physiology, The University of Melbourne, Parkville, Victoria, Australia
| | - Donald S Thomas
- Mark Wainwright Analytical Centre, The University of New South Wales, Randwick, New South Wales, Australia
| | - Matthias Klugmann
- Department of Physiology and Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Randwick, New South Wales, Australia
| | - Philip M Beart
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,Department of Physiology and Translational Neuroscience Facility, School of Medical Sciences, The University of New South Wales, Randwick, New South Wales, Australia
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Liu B, Wang G, Gao D, Gao F, Zhao B, Qiao M, Yang H, Yu Y, Ren F, Yang P, Chen W, Rae CD. Alterations of GABA and glutamate-glutamine levels in premenstrual dysphoric disorder: a 3T proton magnetic resonance spectroscopy study. Psychiatry Res 2015; 231:64-70. [PMID: 25465316 DOI: 10.1016/j.pscychresns.2014.10.020] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Revised: 10/13/2014] [Accepted: 10/27/2014] [Indexed: 12/18/2022]
Abstract
Increasing evidence has suggested that the GABAergic neurotransmitter system is involved in the pathogenesis of premenstrual dysphoric disorder (PMDD). We used proton magnetic resonance spectroscopy ((1)H MRS) to investigate whether PMDD is associated with alterations in brain GABA levels. Levels of glutamate-glutamine (Glx) were also explored. Participants comprised 22 women with PMDD and 22 age-matched healthy controls who underwent 3T (1)H MRS during the late luteal phase of the menstrual cycle. GABA+ and Glx levels were quantified in the anterior cingulate cortex/medial prefrontal cortex (ACC/mPFC) and the left basal ganglia (ltBG). Water-scaled GABA+ concentrations and GABA+/tCr ratios were significantly lower in both the ACC/mPFC and ltBG regions of PMDD women than in healthy controls. Glx/tCr ratios were significantly higher in the ACC/mPFC region of PMDD women than healthy controls. Our preliminary findings provide the first report of abnormal levels of GABA+ and Glx in mood-related brain regions of women with PMDD, indicating that dysregulation of the amino acid neurotransmitter system may be an important neurobiological mechanism in the pathogenesis of PMDD.
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Affiliation(s)
- Bo Liu
- Shandong Medical Imaging Research Institute, Shandong University, No. 324, Jingwu Road, 250021 Jinan, PR China
| | - Guangbin Wang
- Shandong Medical Imaging Research Institute, Shandong University, No. 324, Jingwu Road, 250021 Jinan, PR China
| | - Dongmei Gao
- Basic Medical College, Shandong University of Traditional Chinese Medicine, No. 44, Wenhua Xi Road, 250012 Jinan, PR China
| | - Fei Gao
- Shandong Medical Imaging Research Institute, Shandong University, No. 324, Jingwu Road, 250021 Jinan, PR China
| | - Bin Zhao
- Shandong Medical Imaging Research Institute, Shandong University, No. 324, Jingwu Road, 250021 Jinan, PR China.
| | - Mingqi Qiao
- Basic Medical College, Shandong University of Traditional Chinese Medicine, No. 44, Wenhua Xi Road, 250012 Jinan, PR China
| | - Huan Yang
- Shandong Medical Imaging Research Institute, Shandong University, No. 324, Jingwu Road, 250021 Jinan, PR China
| | - Yanhong Yu
- Basic Medical College, Shandong University of Traditional Chinese Medicine, No. 44, Wenhua Xi Road, 250012 Jinan, PR China
| | - Fuxin Ren
- Shandong Medical Imaging Research Institute, Shandong University, No. 324, Jingwu Road, 250021 Jinan, PR China
| | - Ping Yang
- Philips Healthcare, Shanghai, PR China
| | | | - Caroline D Rae
- Neuroscience Research Australia, Barker Street, Randwick, New South Wales 2031, Australia
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Affiliation(s)
- Caroline D Rae
- Neuroscience Research Australia and School of Medical Sciences, The University of New South Wales, Barker St, Randwick, NSW, 2031 Australia
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Gustin SM, Wrigley PJ, Youssef AM, McIndoe L, Wilcox SL, Rae CD, Edden RAE, Siddall PJ, Henderson LA. Thalamic activity and biochemical changes in individuals with neuropathic pain after spinal cord injury. Pain 2014; 155:1027-1036. [PMID: 24530612 DOI: 10.1016/j.pain.2014.02.008] [Citation(s) in RCA: 94] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2013] [Revised: 02/05/2014] [Accepted: 02/07/2014] [Indexed: 10/25/2022]
Abstract
There is increasing evidence relating thalamic changes to the generation and/or maintenance of neuropathic pain. We have recently reported that neuropathic orofacial pain is associated with altered thalamic anatomy, biochemistry, and activity, which may result in disturbed thalamocortical oscillatory circuits. Despite this evidence, it is possible that these thalamic changes are not responsible for the presence of pain per se, but result as a consequence of the injury. To clarify this subject, we compared brain activity and biochemistry in 12 people with below-level neuropathic pain after complete thoracic spinal cord injury with 11 people with similar injuries and no neuropathic pain and 21 age- and gender-matched healthy control subjects. Quantitative arterial spinal labelling was used to measure thalamic activity, and magnetic resonance spectroscopy was used to determine changes in neuronal variability quantifying N-acetylaspartate and alterations in inhibitory function quantifying gamma amino butyric acid. This study revealed that the presence of neuropathic pain is associated with significant changes in thalamic biochemistry and neuronal activity. More specifically, the presence of neuropathic pain after spinal cord injury is associated with significant reductions in thalamic N-acetylaspartate, gamma amino butyric acid content, and blood flow in the region of the thalamic reticular nucleus. Spinal cord injury on its own did not account for these changes. These findings support the hypothesis that neuropathic pain is associated with altered thalamic structure and function, which may disturb central processing and play a key role in the experience of neuropathic pain.
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Affiliation(s)
- S M Gustin
- Pain Management Research Institute, Kolling Institute of Medical Research, University of Sydney, Royal North Shore Hospital, St. Leonards, New South Wales, Australia Department of Anatomy and Histology, University of Sydney, Sydney, New South Wales, Australia Neuroscience Research Australia, Randwick, NSW 2031, Australia Sydney Medical School-Northern, University of Sydney, Sydney, New South Wales, Australia Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA F.M. Kirby Research Center for Functional MRI, Baltimore, MD, USA Department of Pain Management, HammondCare, Greenwich Hospital, Greenwich, New South Wales, Australia
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Rae CD, Davidson JE, Maher AD, Rowlands BD, Kashem MA, Nasrallah FA, Rallapalli SK, Cook JM, Balcar VJ. Ethanol, not detectably metabolized in brain, significantly reduces brain metabolism, probably via action at specific GABA(A) receptors and has measureable metabolic effects at very low concentrations. J Neurochem 2013; 129:304-14. [PMID: 24313287 DOI: 10.1111/jnc.12634] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2013] [Revised: 11/12/2013] [Accepted: 12/04/2013] [Indexed: 11/28/2022]
Abstract
Ethanol is a known neuromodulatory agent with reported actions at a range of neurotransmitter receptors. Here, we measured the effect of alcohol on metabolism of [3-¹³C]pyruvate in the adult Guinea pig brain cortical tissue slice and compared the outcomes to those from a library of ligands active in the GABAergic system as well as studying the metabolic fate of [1,2-¹³C]ethanol. Analyses of metabolic profile clusters suggest that the significant reductions in metabolism induced by ethanol (10, 30 and 60 mM) are via action at neurotransmitter receptors, particularly α4β3δ receptors, whereas very low concentrations of ethanol may produce metabolic responses owing to release of GABA via GABA transporter 1 (GAT1) and the subsequent interaction of this GABA with local α5- or α1-containing GABA(A)R. There was no measureable metabolism of [1,2-¹³C]ethanol with no significant incorporation of ¹³C from [1,2-¹³C]ethanol into any measured metabolite above natural abundance, although there were measurable effects on total metabolite sizes similar to those seen with unlabelled ethanol.
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Affiliation(s)
- Caroline D Rae
- Neuroscience Research Australia, and Brain Sciences UNSW, Randwick, NSW, Australia
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37
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Rae CD. A Guide to the Metabolic Pathways and Function of Metabolites Observed in Human Brain 1H Magnetic Resonance Spectra. Neurochem Res 2013; 39:1-36. [PMID: 24258018 DOI: 10.1007/s11064-013-1199-5] [Citation(s) in RCA: 320] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2013] [Revised: 11/08/2013] [Accepted: 11/11/2013] [Indexed: 12/20/2022]
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Qin EC, Sinkus R, Geng G, Cheng S, Green M, Rae CD, Bilston LE. Combining MR elastography and diffusion tensor imaging for the assessment of anisotropic mechanical properties: A phantom study. J Magn Reson Imaging 2012; 37:217-26. [DOI: 10.1002/jmri.23797] [Citation(s) in RCA: 68] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2012] [Accepted: 07/31/2012] [Indexed: 01/22/2023] Open
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Maher AD, Fonville JM, Coen M, Lindon JC, Rae CD, Nicholson JK. Statistical Total Correlation Spectroscopy Scaling for Enhancement of Metabolic Information Recovery in Biological NMR Spectra. Anal Chem 2011; 84:1083-91. [DOI: 10.1021/ac202720f] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Anthony D. Maher
- Neuroscience Research Australia, Barker Street, Randwick 2031, Australia
- School of Medical Sciences, University of New South Wales, New South Wales 2052,
Australia
- Biomolecular Medicine,
Department
of Surgery and Cancer, Faculty of Medicine, Imperial College London, SW7 2AZ London, United Kingdom
| | - Judith M. Fonville
- Biomolecular Medicine,
Department
of Surgery and Cancer, Faculty of Medicine, Imperial College London, SW7 2AZ London, United Kingdom
| | - Muireann Coen
- Biomolecular Medicine,
Department
of Surgery and Cancer, Faculty of Medicine, Imperial College London, SW7 2AZ London, United Kingdom
| | - John C. Lindon
- Biomolecular Medicine,
Department
of Surgery and Cancer, Faculty of Medicine, Imperial College London, SW7 2AZ London, United Kingdom
| | - Caroline D. Rae
- Neuroscience Research Australia, Barker Street, Randwick 2031, Australia
| | - Jeremy K. Nicholson
- Biomolecular Medicine,
Department
of Surgery and Cancer, Faculty of Medicine, Imperial College London, SW7 2AZ London, United Kingdom
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Nasrallah FA, Balcar VJ, Rae CD. Activity-dependent γ-aminobutyric acid release controls brain cortical tissue slice metabolism. J Neurosci Res 2011; 89:1935-45. [DOI: 10.1002/jnr.22649] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2010] [Revised: 02/15/2011] [Accepted: 03/01/2011] [Indexed: 12/16/2022]
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Maher AD, Cysique LA, Brew BJ, Rae CD. Statistical integration of 1H NMR and MRS data from different biofluids and tissues enhances recovery of biological information from individuals with HIV-1 infection. J Proteome Res 2011; 10:1737-45. [PMID: 21244037 DOI: 10.1021/pr1010263] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is widely used in metabonomics studies, but optimal recovery of latent biological information requires increasingly sophisticated statistical methods to identify quantitative relationships within these often highly complex data sets. Statistical heterospectroscopy (SHY) extracts latent relationships between NMR and mass spectrometry (MS) data from the same samples. Here we extend this concept to identify novel metabolic correlations between different biofluids and tissues from the same individuals. We acquired NMR data from blood plasma and cerebrospinal fluid (CSF) (N = 19) from HIV-1-infected individuals, who are known to be susceptible to neuropsychological dysfunction. We compared two computational approaches to SHY, namely the Pearson's product moment correlation and the Spearman's rank correlation. High correlations were observed for glutamine, valine, and polyethylene glycol, a drug delivery vehicle. Orthogonal projections to latent structures (OPLS) identified metabolites in blood plasma spectra that predicted the amounts of key CSF metabolites such as lactate, glutamine, and myo-inositol. Finally, brain metabolic data from magnetic resonance spectroscopy (MRS) measurements in vivo were integrated with CSF data to identify an association between 3-hydroxyvalerate and frontal white matter N-acetyl aspartate levels. The results underscore the utility of tools such as SHY and OPLS for coanalysis of high dimensional data sets to recover biological information unobtainable when such data are analyzed in isolation.
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Affiliation(s)
- Anthony D Maher
- Neuroscience Research Australia, Barker St, Randwick 2031, Australia.
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Nasrallah FA, Maher AD, Hanrahan JR, Balcar VJ, Rae CD. γ-Hydroxybutyrate and the GABAergic footprint: a metabolomic approach to unpicking the actions of GHB. J Neurochem 2010; 115:58-67. [PMID: 20681954 DOI: 10.1111/j.1471-4159.2010.06901.x] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Gamma-hydroxybutyrate is found both naturally in the brain and self-administered as a drug of abuse. It has been reported to act at endogenous γ-hydroxybutyrate (GHB) receptors and GABA(B) receptors [GABA(B)R], and may also be metabolized to GABA. Here, the metabolic fingerprints of a range of concentrations of GHB were measured in brain cortical tissue slices and compared with those of ligands active at GHB and GABA-R using principal components analysis (PCA) to identify sites of GHB activity. Low concentrations of GHB (1.0 μM) produced fingerprints similar to those of ligands active at GHB receptors and α4-containing GABA(A)R. A total of 10 μM GHB clustered proximate to mainstream GABAergic synapse ligands, such as 1.0 μM baclofen, a GABA(B)R agonist. Higher concentrations of GHB (30 μM) clustered with GABA(C)R agonists and the metabolic responses induced by blockade of the GABA transporter-1 (GAT1). The metabolic responses induced by 60 and 100 μM GHB were mimicked by simultaneous blockade of GAT1 and GAT3, addition of low concentrations of GABA(C)R antagonists, or increasing cytoplasmic GABA concentrations by incubation with the GABA transaminase inhibitor vigabatrin. These data suggest that at concentrations > 30 μM, GHB may be active via metabolism to GABA, which is then acting upon an unidentified GABAergic master switch receptor (possibly a high-affinity extrasynaptic receptor), or GHB may itself be acting directly on an extrasynaptic GABA-R, capable of turning off large numbers of cells. These results offer an explanation for the steep dose-response curve of GHB seen in vivo, and suggest potential target receptors for further investigation.
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Rooney KB, Bryson JM, Digney AL, Rae CD, Thompson CH. Creatine supplementation affects glucose homeostasis but not insulin secretion in humans. Ann Nutr Metab 2003; 47:11-5. [PMID: 12624482 DOI: 10.1159/000068908] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2002] [Accepted: 06/21/2002] [Indexed: 11/19/2022]
Abstract
AIMS In this study, it was investigated whether the glucose homeostasis is affected by dietary creatine supplementation. For this purpose, the plasma glucose concentration and the plasma insulin response to an oral glucose load were measured in creatine-supplemented vegetarians. METHODS The subjects were supplemented with either 5 g of creatine monohydrate (creatine-treated group, CREAT) or 5 g of maltodextrin (control group, CON) per day for 42 days. On days 0 and 43, blood samples were collected before as well as 10, 20, and 30 min following an oral glucose load and analyzed for plasma creatine, insulin, and glucose levels. RESULTS Creatine supplementation resulted in an increase in plasma creatine (CREAT 92.7 +/- 14.6 micro M vs. CON 31.2 +/- 3.2 micro M; p = 0.001). There was a trend (p = 0.07) towards elevated fasting plasma glucose levels following creatine supplementation, while the plasma glucose response to the glucose load was enhanced (CREAT 168.2 +/- 5.3 mM. min vs. CON 129.6 +/- 14.7 mM.min; p = 0.05). There was no difference observed in the plasma insulin response to the glucose load between the groups. CONCLUSION This study shows that creatine supplementation may result in abnormalities in glucose homeostasis in the absence of changes in insulin secretion.
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Affiliation(s)
- Kieron B Rooney
- Human Nutrition Unit, School of Molecular and Microbial Biosciences, University of Sydney, Australia.
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Hansen PE, Skibsted U, Nissen J, Rae CD, Kuchel PW. 1H NMR of compounds with low water solubility in the presence of erythrocytes: effects of emulsion phase separation. Eur Biophys J 2001; 30:69-74. [PMID: 11372535 DOI: 10.1007/s002490000108] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
When lipophilic compounds like diethyl phthalate (DEP) were added to water, two sets of resonances appeared in the 1H NMR spectrum, whereas when added in concentrations above approximately 3.5 mM to erythrocytes in a high haematocrit suspension, only one set of resonances was observed at the low-frequency position. The appearance of one set of resonances at lower frequency was found to be common to a series of lipophilic compounds in erythrocytes. The appearance of the NMR spectra is ascribed to the existence of an emulsion, meaning two different phases of a compound: a "droplet" (resonances to lower frequency) and aqueous dissolved phase (resonances to higher frequency). The absence of the resonances from the dissolved phase in erythrocyte solution is ascribed to exchange broadening. The absolute chemical shift of the compound in its "droplet" phase was also measured using a cylindrical/spherical microcell. This arrangement mimicked the geometry of the dissolved versus the phase-separated species and thus obviated the effect of a difference in magnetic susceptibility between the "droplet" solute and its aqueous solution. Factors influencing the formation of emulsion phases such as erythrocytes, haemoglobin and smaller proteins were investigated; they are found to be effective in the order given.
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Tracey I, Scott RB, Thompson CH, Dunn JF, Barnes PR, Styles P, Kemp GJ, Rae CD, Pike M, Radda GK. Brain abnormalities in Duchenne muscular dystrophy: phosphorus-31 magnetic resonance spectroscopy and neuropsychological study. Lancet 1995; 345:1260-4. [PMID: 7746055 DOI: 10.1016/s0140-6736(95)90923-0] [Citation(s) in RCA: 44] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Duchenne muscular dystrophy (DMD) is one of a range of muscular dystrophies caused by abnormalities of the short arm of the X chromosome (Xp21), which often cause mental retardation in addition to progressive muscular weakness. Normal dystrophin expression is lacking in both skeletal muscle and brain of affected subjects. Phosphorus-31 magnetic resonance spectroscopy has shown several abnormalities in skeletal muscle in DMD. We looked for similar abnormalities in brain in patients with DMD and related the findings to neuropsychological test results. We studied by magnetic resonance spectroscopy 19 boys (aged 76-167 months) diagnosed as having DMD and 19 control boys of similar age (87-135 months). Intelligence quotient (IQ) was assessed with the Wechsler Intelligence Scale for children. The DMD patients had significantly higher values than the controls in the brain ratios of inorganic phosphate to adenosine triphosphate (mean 0.53 [SD 0.21] vs 0.36 [0.09], p = 0.003), to phosphomonoesters (0.40 [0.07] vs 0.29 [0.07], p = 0.0001), and to phosphocreatine (0.44 [0.10] vs 0.37 [0.08], p = 0.02). There were significant differences between the DMD patients and the controls in full-scale IQ (76 [16] vs 101 [16], p = 0.0001), performance IQ (78 [17] vs 94 [14], p = 0.003), and verbal IQ (78 [17] vs 106 [17], p = 0.0001). These altered metabolite ratios parallel the findings in dystrophic muscle and suggest bioenergetic similarities in tissues that lack dystrophin.
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Affiliation(s)
- I Tracey
- MRC Biochemical and Clinical Magnetic Resonance Unit, Oxford Radcliffe Hospital, UK
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Abstract
The N(CH3)3 resonance of ergothioneine in 1H spin-echo Fourier transform (SEFT) NMR spectra of red blood cells is usually a large singlet and it has been common practice to use this apparently unchanging resonance as an intensity reference. Recently, Reglinski et al. (Magn. Reson. Med. 6, 217-223 (1988)) have questioned this practice, reporting changes seen in the resonance in response to oxidative stress induced by arsenicals. We propose that the changes in the ergothioneine resonance that were reported are artifacts due to alterations in osmolality and magnetic susceptibility induced by the addition of nonisotonic solutions to red blood cell suspensions. These factors change the specific intensity of the intracellular resonances of all compounds. Ergothioneine was observed not to take part in any chemical reactions with arsenicals in free solution or in intact erythrocytes, and we conclude that ergothioneine may still be used as an internal intensity reference in 1H SEFT NMR spectra, bearing in mind the above physical factors.
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Affiliation(s)
- C D Rae
- Department of Biochemistry, University of Sydney, NSW, Australia
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Agar NS, Rae CD, Chapman BE, Kuchel PW. 1H NMR spectroscopic survey of plasma and erythrocytes from selected marsupials and domestic animals of Australia. Comp Biochem Physiol B 1991; 99:575-97. [PMID: 1769206 DOI: 10.1016/0305-0491(91)90340-j] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
1. 1H NMR spectra were acquired from whole plasma, intact erythrocytes, and ultrafiltrates of erythrocytes from nine native and eight introduced (domestic) Australian animals; single-pulse, spin-echo and 2-dimensional spectra were obtained. The aim was to detect and at least semi-quantify metabolites in the samples and compare the profiles amongst the species. 2. The Australian natives that were studied were all marsupials: greater brown bandicoot; bettong; eastern grey kangaroo; red kangaroo; koala; possum; red necked pademelon; Tammar wallaby; and wombat. The introduced mammals that were studied were: cat; cattle; dog; goat; horse; pig; rabbit; and sheep. 3. Because of the range of habitats and diets amongst the animals, it was postulated that the concentrations of the common metabolites in the blood would show marked differences and that there would also be some metabolites that were peculiar to a given animal. There were several major differences in the spectra: in the spectra of plasma, the glycoprotein and lipoprotein resonances showed the largest inter-species variation, whereas the most dramatic finding from the spectra of erythrocytes was a very high concentration of lysine in the cells from the Tammar wallaby.
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Affiliation(s)
- N S Agar
- Department of Physiology, University of New England, Armidale, N.S.W., Australia
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