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Middleton DM, Li Y, Chen A, Shinohara R, Fisher J, Krisa L, Elliot M, Faro SH, Woo JH, Flanders AE, Mohamed FB. Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat. Sci Rep 2023; 13:19809. [PMID: 37957164 PMCID: PMC10643628 DOI: 10.1038/s41598-023-46465-6] [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: 08/02/2023] [Accepted: 11/01/2023] [Indexed: 11/15/2023] Open
Abstract
MRI scanner hardware, field strengths, and sequence parameters are major variables in diffusion studies of the spinal cord. Reliability between scanners is not well known, particularly for the thoracic cord. DTI data was collected for the entire cervical and thoracic spinal cord in thirty healthy adult subjects with different MR vendors and field strengths. DTI metrics were extracted and averaged for all slices within each vertebral level. Metrics were examined for variability and then harmonized using longitudinal ComBat (longComBat). Four scanners were used: Siemens 3 T Prisma, Siemens 1.5 T Avanto, Philips 3 T Ingenia, Philips 1.5 T Achieva. Average full cord diffusion values/standard deviation for all subjects and scanners were FA: 0.63, σ = 0.10, MD: 1.11, σ = 0.12 × 10-3 mm2/s, AD: 1.98, σ = 0.55 × 10-3 mm2/s, RD: 0.67, σ = 0.31 × 10-3 mm2/s. FA metrics averaged for all subjects by level were relatively consistent across scanners, but large variability was found in diffusivity measures. Coefficients of variation were lowest in the cervical region, and relatively lower for FA than diffusivity measures. Harmonized metrics showed greatly improved agreement between scanners. Variability in DTI of the spinal cord arises from scanner hardware differences, pulse sequence differences, physiological motion, and subject compliance. The use of longComBat resulted in large improvement in agreement of all DTI metrics between scanners. This study shows the importance of harmonization of diffusion data in the spinal cord and potential for longitudinal and multisite clinical research and clinical trials.
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Affiliation(s)
- Devon M Middleton
- Department of Radiology, Thomas Jefferson University, 909 Walnut Street, First Floor COB, Philadelphia, PA, 19107, USA.
| | - Yutong Li
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Andrew Chen
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
| | - Russell Shinohara
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
| | | | - Laura Krisa
- Department of Occupational Therapy, Thomas Jefferson University, Philadelphia, PA, USA
| | - Mark Elliot
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Scott H Faro
- Department of Radiology, Thomas Jefferson University, 909 Walnut Street, First Floor COB, Philadelphia, PA, 19107, USA
| | - John H Woo
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Adam E Flanders
- Department of Radiology, Thomas Jefferson University, 909 Walnut Street, First Floor COB, Philadelphia, PA, 19107, USA
| | - Feroze B Mohamed
- Department of Radiology, Thomas Jefferson University, 909 Walnut Street, First Floor COB, Philadelphia, PA, 19107, USA
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Solomon AJ, Marrie RA, Viswanathan S, Correale J, Magyari M, Robertson NP, Saylor DR, Kaye W, Rechtman L, Bae E, Shinohara R, King R, Laurson-Doube J, Helme A. Global Barriers to the Diagnosis of Multiple Sclerosis: Data From the Multiple Sclerosis International Federation Atlas of MS, Third Edition. Neurology 2023; 101:e624-e635. [PMID: 37321866 PMCID: PMC10424832 DOI: 10.1212/wnl.0000000000207481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 04/18/2023] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Recent data suggest increasing global prevalence of multiple sclerosis (MS). Early diagnosis of MS reduces the burden of disability-adjusted life years and associated health care costs. Yet diagnostic delays persist in MS care and even within national health care systems with robust resources, comprehensive registries, and MS subspecialist referral networks. The global prevalence and characteristics of barriers to expedited MS diagnosis, particularly in resource-restricted regions, have not been extensively studied. Recent revisions to MS diagnostic criteria demonstrate potential to facilitate earlier diagnosis, but global implementation remains largely unknown. METHODS The Multiple Sclerosis International Federation third edition of the Atlas of MS was a survey that assessed the current global state of diagnosis including adoption of MS diagnostic criteria; barriers to diagnosis with respect to the patient, health care provider, and health system; and existence of national guidelines or national standards for speed of MS diagnosis. RESULTS Coordinators from 107 countries (representing approximately 82% of the world population), participated. Eighty-three percent reported at least 1 "major barrier" to early MS diagnosis. The most frequently reported barriers included the following: "lack of awareness of MS symptoms among general public" (68%), "lack of awareness of MS symptoms among health care professionals" (59%), and "lack of availability of health care professionals with knowledge to diagnose MS" (44%). One-third reported lack of "specialist medical equipment or diagnostic tests." Thirty-four percent reported the use of only 2017 McDonald criteria (McD-C) for diagnosis, and 79% reported 2017 McD-C as the "most commonly used criteria." Sixty-six percent reported at least 1 barrier to the adoption of 2017 McD-C, including "neurologists lack awareness or training" by 45%. There was no significant association between national guidelines pertaining to MS diagnosis or practice standards addressing the speed of diagnosis and presence of barriers to early MS diagnosis and implementation of 2017 McD-C. DISCUSSION This study finds pervasive consistent global barriers to early diagnosis of MS. While these barriers reflected a lack of resources in many countries, data also suggest that interventions designed to develop and implement accessible education and training can provide cost-effective opportunities to improve access to early MS diagnosis.
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Affiliation(s)
- Andrew J Solomon
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom.
| | - Ruth Ann Marrie
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Shanthi Viswanathan
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Jorge Correale
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Melinda Magyari
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Neil P Robertson
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Deanna R Saylor
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Wendy Kaye
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Lindsay Rechtman
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Eunchan Bae
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Russell Shinohara
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Rachel King
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Joanna Laurson-Doube
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
| | - Anne Helme
- From the Department of Neurological Sciences (A.J.S.), Larner College of Medicine at the University of Vermont, Burlington; Departments of Internal Medicine and Community Health Science (R.A.M.), Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada; Department of Neurology (S.V.), Kuala Lumpur Hospital, Malaysia; Departamento de Neurologia (J.C.), Fleni, Buenos Aires; Institute of Biological Chemistry and Physical Chemistry (IQUIFIB) (J.C.), National Council for Scientific and Technical Research/University of Buenos Aires, Argentina; Department of Neurology (M.M.), Rigshospitalet, Copenhagen University Hospital, Denmark; Division of Psychological Medicine and Clinical Neuroscience (N.P.R.), Department of Neurology, Cardiff University, University Hospital of Wales, United Kingdom; Department of Neurology (D.R.S.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Internal Medicine (D.R.S.), University Teaching Hospital, Lusaka, Zambia; McKing Consulting Corporation (W.K., L.R.), Atlanta, GA; Department of Biostatistics, Epidemiology, and Informatics (E.B., R.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Multiple Sclerosis International Federation (R.K., J.L.-D., A.H.), London, United Kingdom
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Coban H, Nadella P, Tu D, Shinohara R, Berger JR. Total Tau Level in Cerebrospinal Fluid as a Predictor of Survival in Creutzfeldt-Jakob Disease: A Retrospective Analysis. Neurol Clin Pract 2023; 13:e200161. [PMID: 37124464 PMCID: PMC10140917 DOI: 10.1212/cpj.0000000000200161] [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: 10/22/2022] [Accepted: 02/28/2023] [Indexed: 05/02/2023]
Abstract
Background and Objectives Creutzfeldt-Jakob disease (CJD) is a rapidly progressive and universally fatal neurodegenerative disorder with highly variable survival times, ranging from weeks to years. However, there are currently no tools for prognosticating a patient's survival time. This study aims to fill this gap by examining the relationship between CSF total tau (t-tau) levels and time to death in patients with CJD. Methods We use cases with CJD recorded in the electronic health record of a tertiary academic medical center from 2010 to 2022. Results We identified 29 cases with diagnosis of CJD. Using a Cox proportional hazards model, we find that elevated t-tau levels (>4,000 pg/mL) are associated with 9.62 (95% confidence interval: 1.93-47.92) times the hazard of death compared with CJD patients with t-tau less than 4,000 pg/mL. Discussion This finding supports the use of CSF t-tau as a prognostic biomarker for CJD.
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Affiliation(s)
- Hamza Coban
- Division of Multiple Sclerosis and Related Disorders (HC, JRB), Department of Neurology, Perelman School of Medicine at University of Pennsylvania; Perelman School of Medicine (PN), University of Pennsylvania; and Department of Biostatistics (DT, RS), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, PA
| | - Pranay Nadella
- Division of Multiple Sclerosis and Related Disorders (HC, JRB), Department of Neurology, Perelman School of Medicine at University of Pennsylvania; Perelman School of Medicine (PN), University of Pennsylvania; and Department of Biostatistics (DT, RS), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, PA
| | - Danni Tu
- Division of Multiple Sclerosis and Related Disorders (HC, JRB), Department of Neurology, Perelman School of Medicine at University of Pennsylvania; Perelman School of Medicine (PN), University of Pennsylvania; and Department of Biostatistics (DT, RS), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, PA
| | - Russell Shinohara
- Division of Multiple Sclerosis and Related Disorders (HC, JRB), Department of Neurology, Perelman School of Medicine at University of Pennsylvania; Perelman School of Medicine (PN), University of Pennsylvania; and Department of Biostatistics (DT, RS), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, PA
| | - Joseph R Berger
- Division of Multiple Sclerosis and Related Disorders (HC, JRB), Department of Neurology, Perelman School of Medicine at University of Pennsylvania; Perelman School of Medicine (PN), University of Pennsylvania; and Department of Biostatistics (DT, RS), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, PA
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4
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Radhakrishnan H, Zhao C, Sydnor VJ, Baller EB, Cook PA, Fair D, Giesbrecht B, Larsen B, Murtha K, Roalf DR, Rush-Goebel S, Shinohara R, Shou H, Tisdall MD, Vettel J, Grafton S, Cieslak M, Satterthwaite T. Establishing the Validity of Compressed Sensing Diffusion Spectrum Imaging. bioRxiv 2023:2023.02.22.529546. [PMID: 36865219 PMCID: PMC9980087 DOI: 10.1101/2023.02.22.529546] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Diffusion Spectrum Imaging (DSI) using dense Cartesian sampling of q-space has been shown to provide important advantages for modeling complex white matter architecture. However, its adoption has been limited by the lengthy acquisition time required. Sparser sampling of q-space combined with compressed sensing (CS) reconstruction techniques has been proposed as a way to reduce the scan time of DSI acquisitions. However prior studies have mainly evaluated CS-DSI in post-mortem or non-human data. At present, the capacity for CS-DSI to provide accurate and reliable measures of white matter anatomy and microstructure in the living human brain remains unclear. We evaluated the accuracy and inter-scan reliability of 6 different CS-DSI schemes that provided up to 80% reductions in scan time compared to a full DSI scheme. We capitalized on a dataset of twenty-six participants who were scanned over eight independent sessions using a full DSI scheme. From this full DSI scheme, we subsampled images to create a range of CS-DSI images. This allowed us to compare the accuracy and inter-scan reliability of derived measures of white matter structure (bundle segmentation, voxel-wise scalar maps) produced by the CS-DSI and the full DSI schemes. We found that CS-DSI estimates of both bundle segmentations and voxel-wise scalars were nearly as accurate and reliable as those generated by the full DSI scheme. Moreover, we found that the accuracy and reliability of CS-DSI was higher in white matter bundles that were more reliably segmented by the full DSI scheme. As a final step, we replicated the accuracy of CS-DSI in a prospectively acquired dataset (n=20, scanned once). Together, these results illustrate the utility of CS-DSI for reliably delineating in vivo white matter architecture in a fraction of the scan time, underscoring its promise for both clinical and research applications.
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Affiliation(s)
- Hamsanandini Radhakrishnan
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chenying Zhao
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Valerie J. Sydnor
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Erica B. Baller
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philip A. Cook
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Damien Fair
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Barry Giesbrecht
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA
| | - Bart Larsen
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kristin Murtha
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David R. Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sage Rush-Goebel
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Russell Shinohara
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing & Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - Haochang Shou
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing & Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - M. Dylan Tisdall
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jean Vettel
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA
- U.S. Army Research Laboratory, Aberdeen Proving Ground, MD, USA
| | - Scott Grafton
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA
| | - Matthew Cieslak
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Theodore Satterthwaite
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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5
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Romanello Joaquim M, Furth EE, Fan Y, Song HK, Pickup S, Cao J, Choi H, Gupta M, Cao Q, Shinohara R, McMenamin D, Clendenin C, Karasic TB, Duda J, Gee JC, O’Dwyer PJ, Rosen MA, Zhou R. DWI Metrics Differentiating Benign Intraductal Papillary Mucinous Neoplasms from Invasive Pancreatic Cancer: A Study in GEM Models. Cancers (Basel) 2022; 14:cancers14164017. [PMID: 36011011 PMCID: PMC9406679 DOI: 10.3390/cancers14164017] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/26/2022] [Accepted: 08/17/2022] [Indexed: 11/16/2022] Open
Abstract
KPC (KrasG12D:Trp53R172H:Pdx1-Cre) and CKS (KrasG12D:Smad4L/L:Ptf1a-Cre) mice are genetically engineered mouse (GEM) models that capture features of human pancreatic ductal adenocarcinoma (PDAC) and intraductal papillary mucinous neoplasms (IPMN), respectively. We compared these autochthonous tumors using quantitative imaging metrics from diffusion-weighted MRI (DW-MRI) and dynamic contrast enhanced (DCE)-MRI in reference to quantitative histological metrics including cell density, fibrosis, and microvasculature density. Our results revealed distinct DW-MRI metrics between the KPC vs. CKS model (mimicking human PDAC vs. IPMN lesion): the apparent diffusion coefficient (ADC) of CKS tumors is significantly higher than that of KPC, with little overlap (mean ± SD 2.24±0.2 vs. 1.66±0.2, p<10−10) despite intratumor and intertumor variability. Kurtosis index (KI) is also distinctively separated in the two models. DW imaging metrics are consistent with growth pattern, cell density, and the cystic nature of the CKS tumors. Coregistration of ex vivo ADC maps with H&E-stained sections allowed for regional comparison and showed a correlation between local cell density and ADC value. In conclusion, studies in GEM models demonstrate the potential utility of diffusion-weighted MRI metrics for distinguishing pancreatic cancer from benign pancreatic cysts such as IPMN.
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Affiliation(s)
| | - Emma E. Furth
- Pancreatic Cancer Research Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yong Fan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hee Kwon Song
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Stephen Pickup
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jianbo Cao
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hoon Choi
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mamta Gupta
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Quy Cao
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Russell Shinohara
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Deirdre McMenamin
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Cynthia Clendenin
- Pancreatic Cancer Research Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Thomas B. Karasic
- Pancreatic Cancer Research Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jeffrey Duda
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - James C. Gee
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Peter J. O’Dwyer
- Pancreatic Cancer Research Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mark A. Rosen
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Rong Zhou
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
- Pancreatic Cancer Research Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Correspondence:
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6
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Seok D, Beer J, Jaskir M, Smyk N, Jaganjac A, Makhoul W, Cook P, Elliott M, Shinohara R, Sheline YI. Differential Impact of Anxious Misery Psychopathology on Multiple Representations of the Functional Connectome. Biological Psychiatry Global Open Science 2021; 2:489-499. [PMID: 36324648 PMCID: PMC9616351 DOI: 10.1016/j.bpsgos.2021.11.004] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/03/2021] [Accepted: 11/07/2021] [Indexed: 11/27/2022] Open
Abstract
Background One aim of characterizing dimensional psychopathology is associating different domains of affective dysfunction with brain circuitry. The functional connectome, as measured by functional magnetic resonance imaging, can be modeled and associated with psychopathology through multiple methods; some methods assess univariate relationships while others summarize broad patterns of activity. It remains unclear whether different dimensions of psychopathology require different representations of the connectome to generate reproducible associations. Methods Patients experiencing anxious misery symptomology (depression, anxiety, and trauma; n = 192) received resting-state functional magnetic resonance imaging scans. Three modeling approaches (seed-based correlation analysis, edgewise regression, and brain basis set modeling), each relying on increasingly broader representations of the functional connectome, were used to associate connectivity patterns with six data-driven dimensions of psychopathology: anxiety sensitivity, anxious arousal, rumination, anhedonia, insomnia, and negative affect. To protect against overfitting, 50 participants were held out in a testing dataset, leaving 142 participants as training data. Results Different modeling approaches varied in the extent to which they could model different symptom dimensions: seed-based correlation analysis failed to reproducibly model any symptoms, subsets of the connectome (edgewise regression) were sufficient to model insomnia and anxious arousal, and broad representations of the entire connectome (brain basis set modeling) were necessary to model negative affect and ruminative thought. Conclusions These results indicate that different methods of representing the functional connectome differ in the degree that they can model different symptom dimensions, highlighting the potential sufficiency of subsets of connections for some dimensions and the necessity of connectome-wide approaches in others.
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Affiliation(s)
- Darsol Seok
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joanne Beer
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Marc Jaskir
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Nathan Smyk
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Adna Jaganjac
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Walid Makhoul
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Philip Cook
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Mark Elliott
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Russell Shinohara
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Yvette I. Sheline
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Address correspondence to Yvette I. Sheline, M.D., M.S.
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7
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Ontaneda D, Sati P, Raza P, Kilbane M, Gombos E, Alvarez E, Azevedo C, Calabresi P, Cohen JA, Freeman L, Henry RG, Longbrake EE, Mitra N, Illenberger N, Schindler M, Moreno-Dominguez D, Ramos M, Mowry E, Oh J, Rodrigues P, Chahin S, Kaisey M, Waubant E, Cutter G, Shinohara R, Reich DS, Solomon A, Sicotte NL. Central vein sign: A diagnostic biomarker in multiple sclerosis (CAVS-MS) study protocol for a prospective multicenter trial. Neuroimage Clin 2021; 32:102834. [PMID: 34592690 PMCID: PMC8482479 DOI: 10.1016/j.nicl.2021.102834] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [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: 05/19/2021] [Revised: 09/16/2021] [Accepted: 09/19/2021] [Indexed: 01/06/2023]
Abstract
The specificity and implementation of current MRI-based diagnostic criteria for multiple sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are eventually determined not to have the disease, with overreliance on MRI findings a major cause of MS misdiagnosis. The central vein sign (CVS), a proposed MRI biomarker for MS lesions, has been extensively studied in numerous cross sectional studies and may increase diagnostic specificity for MS. CVS has desirable analytical, measurement, and scalability properties. "Central Vein Sign: A Diagnostic Biomarker in Multiple Sclerosis (CAVS-MS)" is an NIH-supported, 2-year, prospective, international, multicenter study conducted by the North American Imaging in MS Cooperative (NAIMS) to evaluate CVS as a diagnostic biomarker for immediate translation into clinical care. Study objectives include determining the concordance of CVS and McDonald Criteria to diagnose MS, the sensitivity of CVS to detect MS in those with typical presentations, and the specificity of CVS among those with atypical presentations. The study will recruit a total of 400 participants (200 with typical and 200 with atypical presentations) across 11 sites. T2*-weighted, high-isotropic-resolution, segmented echo-planar MRI will be acquired at baseline and 24 months on 3-tesla scanners, and FLAIR* images (combination of FLAIR and T2*) will be generated for evaluating CVS. Data will be processed on a cloud-based platform that contains clinical and CVS rating modules. Imaging quality control will be conducted by automated methods and neuroradiologist review. CVS will be determined by Select6* and Select3* lesion methods following published criteria at each site and by central readers, including neurologists and neuroradiologists. Automated CVS detection and algorithms for incorporation of CVS into McDonald Criteria will be tested. Diagnosis will be adjudicated by three neurologists who served on the 2017 International Panel on the Diagnosis of MS. The CAVS-MS study aims to definitively establish CVS as a diagnostic biomarker that can be applied broadly to individuals presenting for evaluation of the diagnosis of MS.
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Affiliation(s)
- D Ontaneda
- Cleveland Clinic Foundation, Cleveland, OH, United States.
| | - P Sati
- Cedars Sinai, Los Angeles, CA, United States; NINDS, NIH, Bethesda, MD, United States
| | - P Raza
- Cleveland Clinic Foundation, Cleveland, OH, United States
| | - M Kilbane
- Cleveland Clinic Foundation, Cleveland, OH, United States
| | - E Gombos
- Cedars Sinai, Los Angeles, CA, United States
| | - E Alvarez
- Neurology, U of Colorado, Denver, CO, United States
| | | | - P Calabresi
- Neurology, Johns Hopkins, Baltimore, MD, United States
| | - J A Cohen
- Cleveland Clinic Foundation, Cleveland, OH, United States
| | - L Freeman
- Dell Medical School, The University of Texas at Austin, Austin, TX, United States
| | - R G Henry
- University of California San Francisco, San Francisco, CA, United States
| | | | - N Mitra
- University of Pennsylvania, Philadelphia, PA, United States
| | - N Illenberger
- University of Pennsylvania, Philadelphia, PA, United States
| | - M Schindler
- University of Pennsylvania, Philadelphia, PA, United States
| | | | - M Ramos
- QMENTA Inc, Boston, MA, United States
| | - E Mowry
- Neurology, Johns Hopkins, Baltimore, MD, United States
| | - J Oh
- University of Toronto, Toronto, ON, Canada
| | | | - S Chahin
- Washington University, St. Louis, MO, United States
| | - M Kaisey
- Cedars Sinai, Los Angeles, CA, United States
| | - E Waubant
- University of California San Francisco, San Francisco, CA, United States
| | - G Cutter
- UAB School of Public Health, Birmingham, AL, United States
| | - R Shinohara
- University of Pennsylvania, Philadelphia, PA, United States
| | - D S Reich
- NINDS, NIH, Bethesda, MD, United States
| | - A Solomon
- The University of Vermont, Burlington, VT, United States
| | - N L Sicotte
- Cedars Sinai, Los Angeles, CA, United States
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8
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Seok D, Smyk N, Jaskir M, Cook P, Elliott M, Girelli T, Scott JC, Balderston N, Beer J, Stock J, Makhoul W, Gur RC, Davatzikos C, Shinohara R, Sheline Y. Dimensional connectomics of anxious misery, a human connectome study related to human disease: Overview of protocol and data quality. Neuroimage Clin 2020; 28:102489. [PMID: 33395980 PMCID: PMC7708855 DOI: 10.1016/j.nicl.2020.102489] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/09/2020] [Accepted: 10/27/2020] [Indexed: 11/19/2022]
Abstract
We present a new imaging study of 200 adults experiencing depression and anxiety. Quantitative measures of image quality indicate comparable quality to the HCP-YA. In addition, a comprehensive set of assessments measured patients’ symptom profiles. Data will be publicly available through the NIMH Data Archive starting fall 2020.
Disparate diagnostic categories from the Diagnostic and Statistical Manual of Mental Disorders (DSM), including generalized anxiety disorder, major depressive disorder and post-traumatic stress disorder, share common behavioral and phenomenological dysfunctions. While high levels of comorbidity and common features across these disorders suggest shared mechanisms, past research in psychopathology has largely proceeded based on the syndromal taxonomy established by the DSM rather than on a biologically-informed framework of neural, cognitive and behavioral dysfunctions. In line with the National Institute of Mental Health’s Research Domain Criteria (RDoC) framework, we present a Human Connectome Study Related to Human Disease that is intentionally designed to generate and test novel, biologically-motivated dimensions of psychopathology. The Dimensional Connectomics of Anxious Misery study is collecting neuroimaging, cognitive and behavioral data from a heterogeneous population of adults with varying degrees of depression, anxiety and trauma, as well as a set of healthy comparators (to date, n = 97 and n = 24, respectively). This sample constitutes a dataset uniquely situated to elucidate relationships between brain circuitry and dysfunctions of the Negative Valence construct of the RDoC framework. We present a comprehensive overview of the eligibility criteria, clinical procedures and neuroimaging methods of our project. After describing our protocol, we present group-level activation maps from task fMRI data and independent components maps from resting state data. Finally, using quantitative measures of neuroimaging data quality, we demonstrate excellent data quality relative to a subset of the Human Connectome Project of Young Adults (n = 97), as well as comparable profiles of cortical thickness from T1-weighted imaging and generalized fractional anisotropy from diffusion weighted imaging. This manuscript presents results from the first 121 participants of our full target 250 participant dataset, timed with the release of this data to the National Institute of Mental Health Data Archive in fall 2020, with the remaining half of the dataset to be released in 2021.
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Affiliation(s)
- Darsol Seok
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Nathan Smyk
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Marc Jaskir
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Philip Cook
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Mark Elliott
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Tommaso Girelli
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - J Cobb Scott
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Nicholas Balderston
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Joanne Beer
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, United States
| | - Janet Stock
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Walid Makhoul
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Christos Davatzikos
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Russell Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, United States
| | - Yvette Sheline
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, United States; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States.
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9
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Radua J, Vieta E, Shinohara R, Kochunov P, Quidé Y, Green MJ, Weickert CS, Weickert T, Bruggemann J, Kircher T, Nenadić I, Cairns MJ, Seal M, Schall U, Henskens F, Fullerton JM, Mowry B, Pantelis C, Lenroot R, Cropley V, Loughland C, Scott R, Wolf D, Satterthwaite TD, Tan Y, Sim K, Piras F, Spalletta G, Banaj N, Pomarol-Clotet E, Solanes A, Albajes-Eizagirre A, Canales-Rodríguez EJ, Sarro S, Di Giorgio A, Bertolino A, Stäblein M, Oertel V, Knöchel C, Borgwardt S, du Plessis S, Yun JY, Kwon JS, Dannlowski U, Hahn T, Grotegerd D, Alloza C, Arango C, Janssen J, Díaz-Caneja C, Jiang W, Calhoun V, Ehrlich S, Yang K, Cascella NG, Takayanagi Y, Sawa A, Tomyshev A, Lebedeva I, Kaleda V, Kirschner M, Hoschl C, Tomecek D, Skoch A, van Amelsvoort T, Bakker G, James A, Preda A, Weideman A, Stein DJ, Howells F, Uhlmann A, Temmingh H, López-Jaramillo C, Díaz-Zuluaga A, Fortea L, Martinez-Heras E, Solana E, Llufriu S, Jahanshad N, Thompson P, Turner J, van Erp T. Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA. Neuroimage 2020; 218:116956. [PMID: 32470572 PMCID: PMC7524039 DOI: 10.1016/j.neuroimage.2020.116956] [Citation(s) in RCA: 104] [Impact Index Per Article: 26.0] [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: 01/23/2020] [Revised: 04/10/2020] [Accepted: 05/15/2020] [Indexed: 11/26/2022] Open
Abstract
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium combines neuroimaging data from many institutions worldwide. However, this introduces heterogeneity due to different scanning devices and sequences. ENIGMA projects commonly address this heterogeneity with random-effects meta-analysis or mixed-effects mega-analysis. Here we tested whether the batch adjustment method, ComBat, can further reduce site-related heterogeneity and thus increase statistical power. We conducted random-effects meta-analyses, mixed-effects mega-analyses and ComBat mega-analyses to compare cortical thickness, surface area and subcortical volumes between 2897 individuals with a diagnosis of schizophrenia and 3141 healthy controls from 33 sites. Specifically, we compared the imaging data between individuals with schizophrenia and healthy controls, covarying for age and sex. The use of ComBat substantially increased the statistical significance of the findings as compared to random-effects meta-analyses. The findings were more similar when comparing ComBat with mixed-effects mega-analysis, although ComBat still slightly increased the statistical significance. ComBat also showed increased statistical power when we repeated the analyses with fewer sites. Results were nearly identical when we applied the ComBat harmonization separately for cortical thickness, cortical surface area and subcortical volumes. Therefore, we recommend applying the ComBat function to attenuate potential effects of site in ENIGMA projects and other multi-site structural imaging work. We provide easy-to-use functions in R that work even if imaging data are partially missing in some brain regions, and they can be trained with one data set and then applied to another (a requirement for some analyses such as machine learning).
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Affiliation(s)
- Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; CIBERSAM, Madrid, Spain; Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Clinical Neuroscience, Stockholm Health Care Services, Stockholm County Council, Karolinska Institutet, Stockholm, Sweden.
| | - Eduard Vieta
- CIBERSAM, Madrid, Spain; Bipolar and depressive disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Barcelona Bipolar Disorders Program, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain; University of Barcelona, Barcelona, Spain
| | - Russell Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Yann Quidé
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia
| | - Melissa J Green
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia
| | - Cynthia S Weickert
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia; Department of Neuroscience & Physiology, Upstate Medical University, Syracuse, Newyork, NY, USA
| | - Thomas Weickert
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia
| | - Jason Bruggemann
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Murray J Cairns
- University of Newcastle, Newcastle, NSW, Australia; Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Marc Seal
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; The University of Melbourne, Australia
| | - Ulrich Schall
- University of Newcastle, Newcastle, NSW, Australia; Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Frans Henskens
- Health Behaviour Research Group, School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
| | - Janice M Fullerton
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia
| | - Bryan Mowry
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia; Queensland Centre for Mental Health Research, The University of Queensland, Brisbane, QLD, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Dept. of Psychiatry, University of Melbourne, Melbourne, VIC, Australia; North Western Mental Health, Melbourne Health, Melbourne, VIC, Australia
| | - Rhoshel Lenroot
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia; University of New Mexico, Albuquerque, NM, USA
| | - Vanessa Cropley
- Melbourne Neuropsychiatry Centre, Dept. of Psychiatry, University of Melbourne, Melbourne, VIC, Australia
| | | | - Rodney Scott
- University of Newcastle, Newcastle, NSW, Australia
| | - Daniel Wolf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Yunlong Tan
- Psychiatry Research Center, Beijing Huilongguan Hospital, Beijing, China
| | - Kang Sim
- West Region and Research Division, Institute of Mental Health, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy; Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Edith Pomarol-Clotet
- CIBERSAM, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Aleix Solanes
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; CIBERSAM, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Department of Psychiatry and Forensic Medicine, School of Medicine, Autonomous University of Barcelona, Barcelona, Spain
| | - Anton Albajes-Eizagirre
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; CIBERSAM, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Erick J Canales-Rodríguez
- CIBERSAM, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland; Signal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Salvador Sarro
- CIBERSAM, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; School of Medicine, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Annabella Di Giorgio
- IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy; Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Michael Stäblein
- Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Viola Oertel
- Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Christian Knöchel
- Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Stefan Borgwardt
- Department of Psychiatry, University of Basel, Basel, Switzerland; Department of Psychiatry and Psychotherapy, University Lübeck, Germany
| | - Stefan du Plessis
- University of Stellenbosch, Cape Town, Western Province, South Africa
| | - Je-Yeon Yun
- Seoul National University Hospital, Seoul, Republic of Korea; Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Brain & Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Clara Alloza
- CIBERSAM, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Celso Arango
- CIBERSAM, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; School of Medicine, Universidad Complutense, Madrid, Spain
| | - Joost Janssen
- CIBERSAM, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Covadonga Díaz-Caneja
- CIBERSAM, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; School of Medicine, Universidad Complutense, Madrid, Spain
| | | | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA, USA
| | - Stefan Ehrlich
- Technische Universität Dresden, Faculty of Medicine, Division of Psychological and Social Medicine, Dresden, Germany
| | - Kun Yang
- Departments of Psychiatry, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Nicola G Cascella
- Departments of Psychiatry, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Akira Sawa
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Departments of Psychiatry, Neuroscience, and Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | | | | | | | - Matthias Kirschner
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland; Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Cyril Hoschl
- National Institute of Mental Health, Klecany, Czech Republic; Department of Psychiatry and Clinical Psychology, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - David Tomecek
- National Institute of Mental Health, Klecany, Czech Republic; Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic; Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Antonin Skoch
- National Institute of Mental Health, Klecany, Czech Republic; MR Unit, Department of Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Therese van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Geor Bakker
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Anthony James
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Adrian Preda
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - Andrea Weideman
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, Western Province, South Africa
| | - Fleur Howells
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, Western Cape, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, Western Cape, South Africa
| | - Anne Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, Western Cape, South Africa; Department of Child and Adolescent Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Henk Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, Western Cape, South Africa; Valkenburg Hospital, Observatory, Cape Town, Western Cape, South Africa
| | - Carlos López-Jaramillo
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Antioquia, Colombia; Mood Disorders Program, Hospital Universitario San Vicente Fundación, Medellin, Colombia
| | - Ana Díaz-Zuluaga
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Antioquia, Colombia
| | - Lydia Fortea
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Eloy Martinez-Heras
- University of Barcelona, Barcelona, Spain; Center of Neuroimmunology. Laboratory of Advanced Imaging in Neuroimmunological Diseases. Hospital Clinic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Elisabeth Solana
- University of Barcelona, Barcelona, Spain; Center of Neuroimmunology. Laboratory of Advanced Imaging in Neuroimmunological Diseases. Hospital Clinic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Sara Llufriu
- University of Barcelona, Barcelona, Spain; Center of Neuroimmunology. Laboratory of Advanced Imaging in Neuroimmunological Diseases. Hospital Clinic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Paul Thompson
- Imaging Genetics Center, Department of Neurology, University of Southern California, Los Angeles, CA, USA
| | | | - Theo van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California Irvine, 309 Qureshey Research Lab, Irvine, CA, 92697, USA
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10
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Bakas S, Shukla G, Akbari H, Erus G, Sotiras A, Rathore S, Sako C, Min Ha S, Rozycki M, Singh A, Shinohara R, Bilello M, Davatzikos C. Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. Proc SPIE Int Soc Opt Eng 2020; 11315. [PMID: 33746333 DOI: 10.1117/12.2566505] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Glioblastoma, the most common and aggressive adult brain tumor, is considered non-curative at diagnosis. Current literature shows promise on imaging-based overall survival prediction for patients with glioblastoma while integrating advanced (structural, perfusion, and diffusion) multipara metric magnetic resonance imaging (Adv-mpMRI). However, most patients prior to initiation of therapy typically undergo only basic structural mpMRI (Bas-mpMRI, i.e., T1,T1-Gd,T2,T2-FLAIR) pre-operatively, rather than Adv-mpMRI. Here we assess a retrospective cohort of 101 glioblastoma patients with available Adv-mpMRI from a previous study, which has shown that an initial feature panel (IFP) extracted from Adv-mpMRI can yield accurate overall survival stratification. We further focus on demonstrating that equally accurate prediction models can be constructed using augmented feature panels (AFP) extracted solely from Bas-mpMRI, obviating the need for using Adv-mpMRI. The classification accuracy of the model utilizing Adv-mpMRI protocols and the IFP was 72.77%, and improved to 74.26% when utilizing the AFP on Bas-mpMRI. Furthermore, Kaplan-Meier analysis demonstrated superior classification of subjects into short-, intermediate-, and long-survivor classes when using AFPon Basic-mpMRI. This quantitative evaluation indicates that accurate survival prediction in glioblastoma patients is feasible by using solely Bas-mpMRI and integrative radiomic analysis can compensate for the lack of Adv-mpMRI. Our finding holds promise for predicting overall survival based on commonly-acquired Bas-mpMRI, and hence for potential generalization across multiple institutions that may not have access to Adv-mpMRI, facilitating better patient selection.
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Affiliation(s)
- Spyridon Bakas
- University of Pennsylvania, Department of Radiology, Center for Biomedical Image Computing and Analytics, University of Pennsylvania, USA
| | - Gaurav Shukla
- University of Pennsylvania, Department of Radiology, Center for Biomedical Image Computing and Analytics, University of Pennsylvania, USA
| | - Hamed Akbari
- University of Pennsylvania, Department of Radiology, Center for Biomedical Image Computing and Analytics, University of Pennsylvania, USA
| | - Guray Erus
- University of Pennsylvania, Department of Radiology, Center for Biomedical Image Computing and Analytics, University of Pennsylvania, USA
| | | | - Saima Rathore
- University of Pennsylvania, Department of Radiology, Center for Biomedical Image Computing and Analytics, University of Pennsylvania, USA
| | - Chiharu Sako
- University of Pennsylvania, Department of Radiology, Center for Biomedical Image Computing and Analytics, University of Pennsylvania, USA
| | - Sung Min Ha
- Washington University, Department of Radiology, St. Louis, MO, USA
| | | | - Ashish Singh
- University of Pennsylvania, Department of Radiology, Center for Biomedical Image Computing and Analytics, University of Pennsylvania, USA
| | - Russell Shinohara
- University of Pennsylvania, Department of Biostatistics, University of Pennsylvania, USA
| | - Michel Bilello
- University of Pennsylvania, Department of Radiology, Center for Biomedical Image Computing and Analytics, University of Pennsylvania, USA
| | - Christos Davatzikos
- University of Pennsylvania, Department of Radiology, Center for Biomedical Image Computing and Analytics, University of Pennsylvania, USA
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11
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Duprat R, Linn K, Satterthwaite T, Ciric R, Sheline Y, Platt M, Gold J, Kable J, Adams G, Kalamveetil-Meethal S, Dallstream A, Long H, Scully M, Shinohara R, Oathes D. Functional connectivity as a tool to individualize DLPFC targeting in TMS. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.742] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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12
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Schwartz DL, Tagge I, Powers K, Ahn S, Bakshi R, Calabresi PA, Todd Constable R, Grinstead J, Henry RG, Nair G, Papinutto N, Pelletier D, Shinohara R, Oh J, Reich DS, Sicotte NL, Rooney WD. Multisite reliability and repeatability of an advanced brain MRI protocol. J Magn Reson Imaging 2019; 50:878-888. [PMID: 30652391 DOI: 10.1002/jmri.26652] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [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: 10/10/2018] [Revised: 12/28/2018] [Accepted: 12/31/2018] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND MRI is the imaging modality of choice for diagnosis and intervention assessment in neurological disease. Its full potential has not been realized due in part to challenges in harmonizing advanced techniques across multiple sites. PURPOSE To develop a method for the assessment of reliability and repeatability of advanced multisite-multisession neuroimaging studies and specifically to assess the reliability of an advanced MRI protocol, including multiband fMRI and diffusion tensor MRI, in a multisite setting. STUDY TYPE Prospective. POPULATION Twice repeated measurement of a single subject with stable relapsing-remitting multiple sclerosis (MS) at seven institutions. FIELD STRENGTH/SEQUENCE A 3 T MRI protocol included higher spatial resolution anatomical scans, a variable flip-angle longitudinal relaxation rate constant (R1 ≡ 1/T1 ) measurement, quantitative magnetization transfer imaging, diffusion tensor imaging, and a resting-state fMRI (rsFMRI) series. ASSESSMENT Multiple methods of assessing intrasite repeatability and intersite reliability were evaluated for imaging metrics derived from each sequence. STATISTICAL TESTS Student's t-test, Pearson's r, and intraclass correlation coefficient (ICC) (2,1) were employed to assess repeatability and reliability. Two new statistical metrics are introduced that frame reliability and repeatability in the respective units of the measurements themselves. RESULTS Intrasite repeatability was excellent for quantitative R1 , magnetization transfer ratio (MTR), and diffusion-weighted imaging (DWI) based metrics (r > 0.95). rsFMRI metrics were less repeatable (r = 0.8). Intersite reliability was excellent for R1 , MTR, and DWI (ICC >0.9), and moderate for rsFMRI metrics (ICC∼0.4). DATA CONCLUSION From most reliable to least, using a new reliability metric introduced here, MTR > R1 > DWI > rsFMRI; for repeatability, MTR > DWI > R1 > rsFMRI. A graphical method for at-a-glance assessment of reliability and repeatability, effect sizes, and outlier identification in multisite-multisession neuroimaging studies is introduced. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:878-888.
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Affiliation(s)
- Daniel L Schwartz
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon, USA.,Neurology, Oregon Health & Science University, Portland, Oregon, USA
| | - Ian Tagge
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon, USA
| | - Katherine Powers
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon, USA
| | - Sinyeob Ahn
- Siemens Healthineers, Malvern, Pennsylvania, USA
| | - Rohit Bakshi
- Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | | | - John Grinstead
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon, USA.,Siemens Healthineers, Malvern, Pennsylvania, USA
| | - Roland G Henry
- University of California San Francisco, San Francisco, California, USA
| | - Govind Nair
- National Institute of Neurological Disease and Stroke, National Institute of Health, Bethesda, Maryland, USA
| | - Nico Papinutto
- University of California San Francisco, San Francisco, California, USA
| | - Daniel Pelletier
- University of Southern California, Keck School of Medicine, Los Angeles, California, USA
| | | | - Jiwon Oh
- Johns Hopkins University, Baltimore, Maryland, USA.,University of Toronto, Ontario, Canada
| | - Daniel S Reich
- National Institute of Neurological Disease and Stroke, National Institute of Health, Bethesda, Maryland, USA
| | | | - William D Rooney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon, USA.,Neurology, Oregon Health & Science University, Portland, Oregon, USA
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13
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Porteous MK, Ky B, Kirkpatrick JN, Shinohara R, Diamond JM, Shah RJ, Lee JC, Christie JD, Kawut SM. Diastolic Dysfunction Increases the Risk of Primary Graft Dysfunction after Lung Transplant. Am J Respir Crit Care Med 2017; 193:1392-400. [PMID: 26745666 DOI: 10.1164/rccm.201508-1522oc] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [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: 01/10/2023] Open
Abstract
RATIONALE Primary graft dysfunction (PGD) is a significant cause of early morbidity and mortality after lung transplant and is characterized by severe hypoxemia and infiltrates in the allograft. The pathogenesis of PGD involves ischemia-reperfusion injury. However, subclinical increases in pulmonary venous pressure due to left ventricular diastolic dysfunction may contribute by exacerbating capillary leak. OBJECTIVES To determine whether a higher ratio of early mitral inflow velocity (E) to early diastolic mitral annular velocity (é), indicative of worse left ventricular diastolic function, is associated with a higher risk of PGD. METHODS We performed a retrospective cohort study of patients in the Lung Transplant Outcomes Group who underwent bilateral lung transplant at our institution between 2004 and 2014 for interstitial lung disease, chronic obstructive pulmonary disease, or pulmonary arterial hypertension. Transthoracic echocardiograms obtained during evaluation for transplant listing were analyzed for E/é and other measures of diastolic function. PGD was defined as PaO2/FiO2 less than or equal to 200 with allograft infiltrates at 48 or 72 hours after reperfusion. The association between E/é and PGD was assessed with multivariable logistic regression. MEASUREMENTS AND MAIN RESULTS After adjustment for recipient age, body mass index, mean pulmonary arterial pressure, and pretransplant diagnosis, higher E/é and E/é greater than 8 were associated with an increased risk of PGD (E/é odds ratio, 1.93; 95% confidence interval, 1.02-3.64; P = 0.04; E/é >8 odds ratio, 5.29; 95% confidence interval, 1.40-20.01; P = 0.01). CONCLUSIONS Differences in left ventricular diastolic function may contribute to the development of PGD. Future trials are needed to determine whether optimization of left ventricular diastolic function reduces the risk of PGD.
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Affiliation(s)
- Mary K Porteous
- 1 Department of Medicine.,2 Center for Clinical Epidemiology and Biostatistics, and
| | - Bonnie Ky
- 1 Department of Medicine.,2 Center for Clinical Epidemiology and Biostatistics, and.,3 Penn Cardiovascular Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - James N Kirkpatrick
- 4 Department of Medicine, University of Washington, Seattle, Washington; and
| | | | - Joshua M Diamond
- 1 Department of Medicine.,2 Center for Clinical Epidemiology and Biostatistics, and
| | - Rupal J Shah
- 5 Department of Medicine, University of California, San Francisco, San Francisco, California
| | | | - Jason D Christie
- 1 Department of Medicine.,2 Center for Clinical Epidemiology and Biostatistics, and
| | - Steven M Kawut
- 1 Department of Medicine.,2 Center for Clinical Epidemiology and Biostatistics, and.,3 Penn Cardiovascular Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
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14
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Kickingereder P, Kickingereder P, Götz M, Muschelli J, Wick A, Neuberger U, Shinohara R, Radbruch A, Schlemmer H, Wick W, Bendszus M, Maier-Hein K, Bonekamp D. Large-scale radiomic profiling of glioblastoma identifies an imaging signature for predicting and stratifying antiangiogenic treatment response. ROFO-FORTSCHR RONTG 2016. [DOI: 10.1055/s-0036-1581194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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15
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Yamagata Z, Shinohara R, Akiyama Y, Matsuura K, Ojima T, Tamakoshi K, Ichikawa K, Yamazaki Y. Inequalities in health among Japanese children: The Healthy Parents and Children 21 Plan in Japan. Eur J Public Health 2015. [DOI: 10.1093/eurpub/ckv176.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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16
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O'Byrne ML, Glatz AC, Goldberg DJ, Shinohara R, Dori Y, Rome JJ, Gillespie MJ. Accuracy of Transthoracic Echocardiography in Assessing Retro-aortic Rim prior to Device Closure of Atrial Septal Defects. CONGENIT HEART DIS 2014; 10:E146-54. [PMID: 25227430 DOI: 10.1111/chd.12226] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [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] [Accepted: 08/24/2014] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Deficient retro-aortic rim has been identified as a risk factor for device erosion following trans-catheter closure of atrial septal defects (ASDs). Transthoracic echocardiography (TTE) is the primary screening method for subjects for possible device closure of ASD, but its reliability in measuring retro-aortic rim size has not been assessed previously. DESIGN A single-institution cross-sectional analysis of children and adults referred for trans-catheter device closure of single ostium secundum ASD from January 1, 2005 to April 1, 2012 with reviewable TTE and trans-esophageal echocardiogram images was performed. Inter-rater reliability of measurements was tested in a 24% sample. Accuracy of TTE measurement of retro-aortic rim was assessed using a Bland-Altman plot with trans-esophageal echocardiogram measurement as the gold standard. Test characteristics of TTE detection of deficient retro-aortic rim were calculated. Risk factors for misclassification of deficient retro-aortic rim were assessed using receiver operator characteristic curves. Risk factors for measurement error were assessed through multivariate linear regression. RESULTS In total, 163 subjects of median age 5 years (range: 0.3-46 years) were included. Trans-thoracic echocardiography had 90% sensitivity, 84% specificity, 90% positive predictive value, and 83% negative predictive value to detect deficient retro-aortic rim. Bland-Altman plot demonstrated no fixed bias (P = .23), but errors in measurement increased on average as the aortic rim increased in size (P < .001). Prespecified patient level risk factors did not affect receiver operator characteristic curve area under the curve, nor were any patient-level risk factors independently associated with increased measurement error on TTE. CONCLUSIONS TTE is a sensitive and specific screening test for deficient retro-aortic rim across a range of patient ages and sizes.
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Affiliation(s)
- Michael L O'Byrne
- Division of Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pa, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa, USA
| | - Andrew C Glatz
- Division of Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pa, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa, USA
| | - David J Goldberg
- Division of Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pa, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa, USA
| | - Russell Shinohara
- The Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa, USA
| | - Yoav Dori
- Division of Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pa, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa, USA
| | - Jonathan J Rome
- Division of Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pa, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa, USA
| | - Matthew J Gillespie
- Division of Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pa, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa, USA
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17
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Sweeney E, Shinohara R, Shea C, Reich D, Crainiceanu C. Lesion Incidence Estimation and Detection Using Multi-Modality Longitudinal MRIs (P03.069). Neurology 2012. [DOI: 10.1212/wnl.78.1_meetingabstracts.p03.069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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18
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Mateen F, Shinohara R, Carone M, Miller E, McArthur J, Jacobson L, Sacktor N. Attributable Burden of Neurological Disease in Older HIV-Positive Versus HIV-Negative Men: Findings from the Multicenter AIDS Cohort Study (MACS), 1997-2009 (P01.257). Neurology 2012. [DOI: 10.1212/wnl.78.1_meetingabstracts.p01.257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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19
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Anme T, Watanabe T, Tokutake K, Tomisaki E, Mochizuki Y, Tanaka E, Wu B, Nanba M, Shinohara R, Sugisawa Y. A pilot study of social competence assessment using interaction rating scale advanced. ISRN Pediatr 2011; 2011:272913. [PMID: 22389772 PMCID: PMC3263582 DOI: 10.5402/2011/272913] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2011] [Accepted: 10/02/2011] [Indexed: 11/23/2022]
Abstract
Purpose. The purpose of this paper is to clarify the validity of the Interaction Rating Scale Advanced (IRSA) as an evidence-based practical index of social skills. Methods. The participants in our study were 17 high school students. The participants completed the five-minute interaction session and were observed using the IRSA. Their teacher evaluated their social competence based on regular observation in school. Results. The results indicated the high correlation between IRSA scores and teacher's practical evaluation. IRSA can measure social competence with high validity. Conclusion. The IRSA provides further evidence of the fact that in order to study social competence development, it is important to evaluate various features of the interaction like IRSA subscales.
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Affiliation(s)
- T Anme
- Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibarnki 305-8574, Japan
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20
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Matsuo H, Sakamoto H, Arizono K, Shinohara R. Behavior of pharmaceuticals in waste water treatment plant in Japan. Bull Environ Contam Toxicol 2011; 87:31-35. [PMID: 21562834 DOI: 10.1007/s00128-011-0299-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2010] [Accepted: 04/29/2011] [Indexed: 05/30/2023]
Abstract
The fate of pharmaceuticals in a wastewater treatment plant (WWTP) in Kumamoto, Japan with activated sludge treatment is reported. Selected pharmaceuticals were detected in influent. Results from the present study confirmed that Acetaminophen, Amoxicillin, Ampicillin and Famotidine were removed at a high rate (>90% efficiency). In contrast, removal efficiency of Ketoprofen, Losartan, Oseltamivir, Carbamazepine, and Diclofenac was relatively low (<50%). The selected pharmaceuticals were also detected in raw sludge. In digestive process, Indomethacin, Atenolol, Famotidine, Trimethoprim and Cyclofosamide were removed at a high (>70% efficiency). On the other hand, removal of Carbamazepine, Ketoprofen and Diclofenac was not efficient (<50%).
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Affiliation(s)
- H Matsuo
- Graduate School of Environmental and Symbiotic Sciences, Prefectural University of Kumamoto, 3-1-100 Tsukide, Kumamoto 682-5802, Japan
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21
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Sankoda K, Matsuo H, Ito M, Nomiyama K, Arizono K, Shinohara R. Identification of triclosan intermediates produced by oxidative degradation using TiO2 in pure water and their endocrine disrupting activities. Bull Environ Contam Toxicol 2011; 86:470-475. [PMID: 21442213 DOI: 10.1007/s00128-011-0249-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2010] [Accepted: 03/16/2011] [Indexed: 05/30/2023]
Abstract
The photodegradation pathways of 2-(2,4-dichlorophenoxy)-5-chlorophenol (triclosan) in water were studied. The main purposes were to identify structures of intermediates derived by radical reaction using TiO(2) advanced oxidation processes and to evaluate the endocrine disrupting activities in treated triclosan during oxidative reactions. Intermediates such as dichlorophenols, 2,8-dibenzo-p-dioxin, tetrachlorinated diphenyl ether (tetraclosan) and hydroxylated triclosan were produced by photoreaction. The estrogen, thyroid hormone and retinoid X receptor activities of the treated triclosan were measured with the yeast two-hybrid assay. It was found that tetraclosan and 2,4-dichlorophenol have stronger thyroid hormone activities than triclosan in the presence of S9.
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Affiliation(s)
- K Sankoda
- Graduate School of Environmental and Symbiotic Sciences, Prefectural University of Kumamoto, 3-1-100 Tsukide, Kumamoto 862-8502, Japan
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22
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Nakagawa S, Matsuo H, Motoyama M, Nomiyama K, Shinohara R. Behavior of endocrine disrupting chemicals in Johkasou improved septic tank in Japan. Bull Environ Contam Toxicol 2009; 83:328-333. [PMID: 19434350 DOI: 10.1007/s00128-009-9755-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2008] [Accepted: 04/24/2009] [Indexed: 05/27/2023]
Abstract
The behavior of estrogens (estrone: E1, 17beta-estradiol: E2, estriol: E3 and ethinylestradiol: EE2) and an androgen (testosterone) in the water and sludge from Johkasou in Japan was investigated. The concentrations of E1, E2, E3 and testosterone in water samples from the Johkasou were 33-500, N.D. approximately 150, N.D. approximately 6,700 and 500 ng/L, respectively. In sludge samples, the concentrations of E1, E2, E3, and testostrerone were N.D. approximately 39, N.D. approximately 6.7, N.D. approximately 60 and 0.2-9.0 ng/L, respectively. EE2 was not detected in all samples. The removal rates of E1, E2, E3 and testosterone in Johkasou were 45%-91%, 66%-100%, 90%-100%, and about 90%, respectively.
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Affiliation(s)
- S Nakagawa
- Graduate School of Environmental and Symbiotic Sciences, Prefectural University of Kumamoto, 3-1-100, Tsukide, Kumamoto, 862-8502, Japan
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23
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Koike E, Takano H, Inoue KI, Yanagisawa R, Sakurai M, Aoyagi H, Shinohara R, Kobayashi T. Pulmonary exposure to carbon black nanoparticles increases the number of antigen-presenting cells in murine lung. Int J Immunopathol Pharmacol 2008; 21:35-42. [PMID: 18336729 DOI: 10.1177/039463200802100105] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Particulate matters can enhance antigen-related airway inflammation and immunoglobulin production. The present study was designed to determine the effects of different sizes of nanoparticles on the antigen-presenting cells (APC) in the lung. ICR mice were exposed to vehicle, carbon black (CB) nanoparticles (14 nm or 56 nm), ovalbumin (OVA), or OVA + nanoparticles intratracheally. The expression of major histocompatibility complex (MHC) class II, costimulatory molecules (CD80, CD86, CD11c), and DEC205 (dendritic cell marker), F4/80 (macrophage marker), and CD19 (B-cell marker) in the lung cells was measured by flow cytometry. 14 nm nanoparticles, but not 56 nm nanoparticles, increased the number of the total lung cells. Combination of OVA and 14 nm or 56 nm nanoparticles increased the total lung cells. The expression of MHC class II and/or costimulatory molecules and the number of APC in the lung were increased by 14 nm nanoparticles in the presence or absence of OVA. The increases were more prominent with combination of OVA and 14 nm nanoparticles. 56 nm nanoparticles did not show any significant effects. 14 nm CB nanoparticles can increase the expression of MHC class II and costimulatory molecules and the number of APC in the lung, especially in the presence of antigen, which can result in subsequent antigen-related airway inflammation and immunoglobulin production.
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Affiliation(s)
- E Koike
- Environmental Health Sciences Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
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24
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Miyagishima K, Hiramitsu S, Kato S, Kato Y, Kitagawa F, Teradaira R, Shinohara R, Mori K, Kimura H, Ueda T, Ohtsuki M, Morimoto S, Hishida H. Efficacy of atorvastatin therapy in ischaemic heart disease - effects on oxidized low-density lipoprotein and adiponectin. J Int Med Res 2007; 35:534-9. [PMID: 17697531 DOI: 10.1177/147323000703500413] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The lipid-lowering and anti-atherosclerotic effects of atorvastatin (10 mg/day) were investigated by measuring changes in the levels of oxidized low-density lipoprotein (LDL), serum lipids (total cholesterol [TC], LDL-cholesterol [LDL-C] and triglycerides [TG]), and in the protein adiponectin. This was undertaken in 22 patients with ischaemic heart disease and serum LDL-C levels > 100 mg/dl. After 3 months of therapy, atorvastatin significantly decreased serum lipids, oxidized LDL was reduced from 457.0 +/- 148.6 to 286.9 +/- 88.5 nmol/l, and adiponectin increased from 9.7 +/- 7.4 to 13.9 +/- 9.98 microg/ml. No significant correlation was observed between adiponectin and LDL-C, TG and high-density lipoprotein cholesterol. Atorvastatin therapy was not associated with side-effects, such as myalgia and gastrointestinal disorders, and did not give abnormal laboratory test results. It is concluded that atorvastatin decreases serum lipid and oxidized LDL levels, and increases adiponectin levels in patients with ischaemic heart disease.
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Affiliation(s)
- K Miyagishima
- Division of Cardiology, Department of Internal Medicine, Fujita Health University School of Medicine, Toyoake, Japan
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25
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Ai H, Wang Q, Fan X, Xie W, Shinohara R. Effect of hydraulic retention time on the efficiency of vertical tubular anaerobic sludge digester treating waste activated sludge. Environ Technol 2005; 26:725-31. [PMID: 16080328 DOI: 10.1080/09593332608618512] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Treating waste activated sludge at a temperature of 35 degrees C was investigated in vertical tubular anaerobic sludge digester and common anaerobic sludge digester, with the working volume of 2.5 m3 each. Compared with common anaerobic sludge digester, the vertical tubular anaerobic sludge digester greatly improved volatile solids and COD removal efficiencies, the methane production and the stability of the anaerobic digestion system under the same condition of hydraulic retention time. The minimum hydraulic retention time of the vertical tubular anaerobic sludge digester was 5 days, when the organic loading remained at 5.28 kg m(-3) d(-1) (as volatile solids) and the volatile solids removal rate was 41.7%. The suitable hydraulic retention time for vertical tubular anaerobic sludge digester was 5 days, while to get the same COD removal rate it was 10 days for common anaerobic sludge digester. At optimum hydraulic retention time of 5 days, the methane production of the two digesters achieved the maximum difference of 0.06 l g(-1) volatile solids (0.26, 0.20 l g(-1) volatile solids for vertical tubular anaerobic sludge digester and common anaerobic sludge digester, respectively). The advantage of vertical tubular anaerobic sludge digester was especially obvious when the hydraulic retention time was relatively short. Furthermore, it was found that the vertical tubular anaerobic sludge digester in which more anaerobic bacteria lived has significantly intensified the sub-micro mass transfer between the substrate and the microorganisms, which resulted in a remarkable effect on shortening the hydraulic retention time of anaerobic sludge digestion.
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Affiliation(s)
- H Ai
- Department of Environmental Science & Engineering, Harbin Institute of Technology, 202 Haihe Road, Nangang District, Harbin 150090, China
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26
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Nomura Y, Ishibashi H, Miyahara M, Shinohara R, Shiraishi F, Arizono K. Effects of dental resin metabolites on estrogenic activity in vitro. J Mater Sci Mater Med 2003; 14:307-310. [PMID: 15348454 DOI: 10.1023/a:1022923713892] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Three monomers (Bis-GMA, UDMA, and TEGDMA) and five polymerization initiators (CQ, BPO, DMPT, DMAEMA, and ATU) commonly used in dental composite resins were tested for estrogenic activity using a reporter gene assay (yeast two-hybrid system) in vitro, and compared with bisphenol-A (BPA). Estrogenic activity was indicated by agonist and antagonist activity, with (+S9) and without (-S9) metabolic activation using rat liver cells. No estrogenic agonist activity was seen for each monomer and polymerization initiator in either the -S9 and +S9 tests in the concentration ranges examined in this study. On the other hand, estrogen antagonist activity was found with BPO and DMPT. BPO showed antagonist activity at a concentration of approximately 1800 nM with the -S9 test, but not with the +S9 test. With DMPT, antagonist activity was not seen with the -S9 test, but it was seen at a concentration of approximately 610 nM using the +S9 test. With BPA, the +S9 test indicated antagonist activity at a concentration of approximately 780 nM. The estrogen antagonist activities of DMPT and BPA appeared to be similar. CQ, DMAEMA, ATU, and the three monomers did not show antagonist activity as demonstrated by the -S9 or +S9 tests within the concentration range tested in this study.
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Affiliation(s)
- Y Nomura
- Department of Biomaterials Science, Faculty of Dentistry, Hiroshima University, Hiroshima, Japan.
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27
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Tanizaki T, Kadokami K, Shinohara R. Catalytic photodegradation of endocrine disrupting chemicals using titanium dioxide photosemiconductor thin films. Bull Environ Contam Toxicol 2002; 68:732-739. [PMID: 12068941 DOI: 10.1007/s001280315] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Affiliation(s)
- T Tanizaki
- Kitakyushu City Institute of Environmental Sciences, Kitakyushu, Japan
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28
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Yao Y, Kakimoto K, Ogawa HI, Kato Y, Kadokami K, Shinohara R. Further study on the photochemistry of non-ortho substituted PCBs by UV irradiation in alkaline 2-propanol. Chemosphere 2000; 40:951-956. [PMID: 10739031 DOI: 10.1016/s0045-6535(99)00338-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The photochemical behaviors of six non-ortho substituted PCB congeners, i.e., 3,4-DiCB, 3,5-DiCB, 3,3',5-TriCB, 3,4,5-TriCB, 3,3',4,5-TetraCB, and 3,4,4',5-TetraCB, irradiated at 254 nm in alkaline 2-propanol were investigated. Besides the determination of the photodechlorination pathways of these compounds, the presence of photorearrangement was observed in the case of 3, 4-DiCB with its products being identified. The results indicate that dechlorination is much more important than rearrangement during the process of PCB photolysis.
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Affiliation(s)
- Y Yao
- Department of Applied Chemistry, Faculty of Engineering, Kyushu Institute of Technology, Tobata, Kitakyushu, Japan.
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29
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Mano T, Shinohara R, Nagasaka A, Nakagawa H, Uchimura K, Hayashi R, Nakano I, Tsugawa T, Watanabe F, Kobayashi T, Fujiwara K, Nakai A, Itoh M. Scavenging effect of nicorandil on free radicals and lipid peroxide in streptozotocin-induced diabetic rats. Metabolism 2000; 49:427-31. [PMID: 10778863 DOI: 10.1016/s0026-0495(00)80003-7] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Free radicals and lipid peroxide (LPO), easily formed in the diabetic state, play an important role in the development of diabetic complications. Potentially, nicorandil may reduce the production of free radicals and LPO in various organs. In fact, increased LPO levels in the serum, kidney, and cardiac muscle of diabetic (DM) rats were reduced by nicorandil treatment (N treatment). Xanthine oxidase (XOD), which produces free radicals, was decreased in the liver and increased in the kidney of DM rats compared with control rats, and these changes were prevented by N treatment. The concentration of Cu, Zn-superoxide dismutase (SOD) decreased in the cardiac muscle and increased in the kidney of DM rats, and these changes returned to normal after N treatment. The decreased concentration of Mn-SOD in the liver, kidney, and cardiac muscle from DM rats was also reversed by N treatment. The changes in catalase and glutathione peroxidase (GSH-PX) activities in DM rats were not improved effectively by N treatment. Another K-adenosine triphosphate (K-ATP) channel opener, tilisolol hydrochloride, had an effect similar to that of nicorandil. The effects of nicorandil and tilisolol were studied only in DM rats. These data imply that N treatment, as an antioxidative therapy, may be beneficial in preventing diabetic complications due to lipoperoxidation and free radicals in DM rats.
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Affiliation(s)
- T Mano
- Department of Internal Medicine and Pharmacy, Fujita Health University School of Medicine and Hygiene, Toyoake, Aichi, Japan
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30
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Shinohara R, Mano T, Nagasaka A, Hayashi R, Uchimura K, Nakano I, Watanabe F, Tsugawa T, Makino M, Kakizawa H, Nagata M, Iwase K, Ishizuki Y, Itoh M. Lipid peroxidation levels in rat cardiac muscle are affected by age and thyroid status. J Endocrinol 2000; 164:97-102. [PMID: 10607942 DOI: 10.1677/joe.0.1640097] [Citation(s) in RCA: 51] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Free radicals, hydroxyperoxides and H(2)O(2) are all known to damage cell components. This study was designed to compare the concentrations of hydroxyperoxide and free radical scavengers in the cardiac muscles of old rats in the hyper- or hypothyroid condition, to determine whether rates of peroxidation would differ with age, thyroid status, or both. Rats were rendered hyper- or hypothyroid by administration of l-thyroxine or methimazole for 4 weeks. Among the old rats, the lipid peroxide (LPO) concentrations, measured as thiobarbituric acid (TBA) reactants, were significantly greater in the hyperthyroid than in the euthyroid state and the LPO concentrations measured as TBA+Fe(3+) reactants, which may be precursors of LPO, were significantly greater in the hyperthyroid state, whereas in young rats, the LPO concentrations measured by TBA or TBA+Fe(3+) methods did not differ significantly in the hyperthyroid state. In the euthyroid state, the concentration of LPO measured as TBA+Fe(3+) reactants was significantly reduced with age. Xanthine oxidase (XOD) activity also was markedly increased with age, being more pronounced in the hyperthyroid than in the euthyroid state. The Mn and Cu/Zn superoxide dismutase activities were greater in the hyperthyroid than in the euthyroid state. Glutathione peroxidase activity decreased with age in the euthyroid and, particularly, in the hyperthyroid state. Catalase activity was not affected in the old rats. Concentrations of alpha-tocopherol in the old rats were high in the hyperthyroid state and low in the hypothyroid state, whereas the levels of beta- and gamma-tocopherols in these rats were unchanged in both conditions as compared with the euthyroid state findings. Data suggest that the site of free radical generation differs in older rats, with additional shifts in the location of intracellular lipid peroxidation being noted during hyperthyroidism. Thus, as rats age, the reduction of the free radical scavenger system and the increase in LPO and XOD activities might induce myocardial dysfunction.
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Affiliation(s)
- R Shinohara
- Department of Biochemistry, Fujita Health University School of Hygiene, Toyoake, Aichi 470-1192, Japan
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31
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Nakayama N, Shinohara R, Mizou T, Arakawa M, Morimoto C. [The role of discharge coordination nurses in a university hospital--changes in the role with timing of the discharge request]. Gan To Kagaku Ryoho 1999; 26 Suppl 2:382-6. [PMID: 10630253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
UNLABELLED We studied the role of discharge assisting nurses who coordinate discharge planning (DP). The requests for DP were ordered at different periods during the admission. The periods were mainly divided into three phases in which the DP was ordered from the wards, which were type 1: just before discharge, type 2: after the decision to discharge, and type 3: between admission and the decision to discharge. We analyzed 8 cases, DP ordered in the type 3 phase provided the most satisfactory outcome for patients' home lives, since the nurse, other medical staff and patients had sufficient time to prepare and provide the needed services. CONCLUSION It was clarified that type 3 provided the best outcome of discharge planning.
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32
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Kaneko K, Fujita T, Harada H, Koyama S, Shinohara R, Tomioka T, Suwa M, Yoshida K, Fukushima M, Kawashima K, Sato Y, Ikeya T. [Actual situations and problems of patients receiving home IVH--trial use of an assessment chart for outpatients]. Gan To Kagaku Ryoho 1999; 26 Suppl 2:379-81. [PMID: 10630252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
In order to improve the quality of life (QOL) and continue nursing, we used an assessment chart to investigate the actual situations and problems of the patients receiving home intravenous hyperalimentation (IVH). From January, 1997 to June, 1999, we investigated 20 patients with home IVH. To 7 patients among them, we asked questions using Kurihara's assessment chart for QOL, plus our original questions concerning IVH. The mean age of the patients was 61 years old, and 19 of them had advanced cancers. Forty percent of the patients maintained the IVH all by themselves and 10% of the patients needed the support of their family. The remaining 50% of the patients left all to their family. There were 9 incidents of trouble during the maintenance of the IVH. Almost all patients from whom informed consent had been received were satisfied with the home IVH. On the contrary, all patients who had not given informed consent were not satisfied with the home IVH. According to the results of the assessment chart, even if the total points were low, the points for the IVH were high in the patients had given informed consent. The main reason for lower QOL was pain. The points for the families were lower than those for the patients. They sometimes complained of uneasiness and dissatisfaction with the support they received. We conclude that therapies to improve symptoms and mental state are necessary to satisfy the patients, and that it is important to support not only the patients but also their families.
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Affiliation(s)
- K Kaneko
- Dept. of Nursing, Maebashi Red Cross Hospital
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33
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Ito Y, Shimizu H, Yoshimura T, Ross RK, Kabuto M, Takatsuka N, Tokui N, Suzuki K, Shinohara R. Serum concentrations of carotenoids, alpha-tocopherol, fatty acids, and lipid peroxides among Japanese in Japan, and Japanese and Caucasians in the US. INT J VITAM NUTR RES 1999; 69:385-95. [PMID: 10642896 DOI: 10.1024/0300-9831.69.6.385] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Serum concentrations of carotenoids, alpha-tocopherol, fatty acids, and thiobarbituric acid-reactive substances (TBARS) were measured in 217 Japanese residents of Japan, and in 99 Japanese and 100 Caucasian residents of the US, aged from 50 y to 74 y. In females, serum values of carotenoids such as beta-carotene (BC) and zeaxanthin & lutein (ZL) were highest among Japanese in Japan, followed by Japanese in the US and Caucasians in the US. In males, these values, except for serum BC values, were also highest among Japanese in Japan. Moreover, serum values of n-3 polyunsaturated fatty acids (n-3PUFAs) such as eicosapentaenoic acid and docosahexaenoic acid were significantly higher among Japanese in Japan than among Japanese and Caucasians in the US in both sexes. In contrast, serum values of n-6 polyunsaturated fatty acids such as linoleic acid and arachidonic acid were lowest among Japanese in Japan. For women, serum levels of n-9 unsaturated fatty acids were lowest among Japanese living in Japan. Serum TBARS values were highest among Japanese in Japan, followed by Japanese in the US and Caucasians in the US. A significant positive correlation was observed between serum values of TBARS and n-3 PUFAs among Japanese both in Japan and in the US. Serum TBARS values showed a significant inverse relationship with the serum values of BC and ZL among Japanese in Japan and with those of BC among Japanese in the US. These relationships were not always observed among Caucasians in the US. The results of this study suggest that the high TBARS values among Japanese in Japan may depend in part on lipid peroxidation induced in vitro by n-3PUFAs, while high reduction of lipid peroxidation could be expected among Japanese in Japan with high antioxidants such as BC and ZL. In conclusion, serum levels of nonprovitamin A carotenoids such as ZL may be a useful intake marker of vegetables. Dietary intakes of dark green vegetables and fish rich in n-3PUFAs might be more important in the prevention of some sites of cancer and of ischemic heart disease.
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Affiliation(s)
- Y Ito
- Department of Public Health, Fujita Health University School of Health Sciences, Ioyoake, Japan
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34
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Okubo M, Fukami N, Shinohara R. Behavior of nonionic emulsifier molecules on the preparation of nanoparticles from submicron-sized ionized styrene-methacrylic acid copolymer particles by the particle dissolution method. Colloid Polym Sci 1999. [DOI: 10.1007/s003960050469] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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35
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Uchimura K, Nagasaka A, Hayashi R, Makino M, Nagata M, Kakizawa H, Kobayashi T, Fujiwara K, Kato T, Iwase K, Shinohara R, Kato K, Itoh M. Changes in superoxide dismutase activities and concentrations and myeloperoxidase activities in leukocytes from patients with diabetes mellitus. J Diabetes Complications 1999; 13:264-70. [PMID: 10765000 DOI: 10.1016/s1056-8727(99)00053-7] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
To investigate whether the two free-radical scavengers, Cu, Zn- and Mn-superoxide dismutase (SOD), are changed in leukocytes of diabetic patients, and the alteration of these enzymes correlates with the diabetic state, we measured the activity and concentration of these enzymes in leukocytes from diabetic patients. Both Cu, Zn-SOD and Mn-SOD activities in neutrophils and lymphocytes were significantly lower in patients with non-insulin-dependent diabetes mellitus than in healthy controls. The concentrations of these enzymes in leukocytes from diabetic patients, however, did not differ from those in controls. Cu, Zn-SOD and Mn-SOD activities in neutrophils inversely correlated with HbA(1c) concentrations. Myeloperoxidase activity in leukocytes was significantly reduced in NIDDM patients. These findings suggest that changes in these enzymes may affect the susceptibility to infection and immunocompetence of patients with diabetes.
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Affiliation(s)
- K Uchimura
- Department of Internal Medicine, Aichi Prefecture Colony, Kasugai, Aichi, Japan
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36
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Sasaki E, Ohta Y, Shinohara R, Ishiguro I. Contribution of serum albumin to the transport of orally administered L-tryptophan into liver of rats with L-tryptophan depletion. Amino Acids 1999; 16:29-39. [PMID: 10078332 DOI: 10.1007/bf01318883] [Citation(s) in RCA: 5] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The role of serum albumin in the transport of orally administered L-tryptophan (Trp) into rat tissues was examined using analbuminemic and Sprague-Dawley (SD) rats with and without alpha-methyl-DL-tryptophan (AMT)-induced Trp depletion. Trp was orally administered to rats 16 h after AMT or 0.85% NaCl administration, when liver tryptophan 2,3-dioxygenase and protein synthetic activities in AMT-treated rats were similar to those of 0.85% NaCl-treated rats. After oral Trp administration, regardless of the presence or absence of Trp depletion, free serum Trp concentrations were similar in the analbuminemic and SD rats, while total serum Trp concentrations were lower in analbuminemic rats than in SD rats. Although liver, brain, and muscle Trp concentrations after oral Trp administration under Trp depletion were lower in analbuminemic rats than in SD rats, the ratio of the liver Trp concentration in analbuminemic rats to that in SD rats was smaller than that of the brain or muscle Trp concentration. These results suggest that variations in serum albumin levels could affect the transport of orally administered Trp into the liver of rats with Trp depletion.
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Affiliation(s)
- E Sasaki
- Department of Biochemistry, School of Medicine, Fujita Health University, Toyoake, Japan
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37
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Shinohara R, Mano T, Nagasaka A, Sawai Y, Uchimura K, Hayashi R, Hayakawa N, Nagata M, Makino M, Kakizawa H, Itoh Y, Nakai A, Itoh M. Effects of thyroid hormone on the sorbitol pathway in streptozotocin-induced diabetic rats. Biochim Biophys Acta 1998; 1425:577-86. [PMID: 9838221 DOI: 10.1016/s0304-4165(98)00111-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Sorbitol accumulation plays an important role in diabetic complications involving the kidney, nerves, retina, lens and cardiac muscle. To investigate the influence of thyroid hormone on the sorbitol pathway, we studied the effects of thyroid hormone on polyol metabolism in normal and diabetic rats. Rats were divided into three groups: controls, streptozotocin (STZ)-induced diabetic euthyroid rats (DM) and STZ-induced diabetic hyperthyroid (thyroxine-injected) rats (DM+HT). The sorbitol (Sor) concentrations in the kidney, liver and sciatic nerve (2.53+/-0.74, 0.97+/-0.16 and 24.0+/-5.1 nmol/mg protein, respectively) of the DM rats were significantly higher than those (1.48+/-0.31, 0.58+/-0.13 and 3. 1+/-0.6 nmol/mg protein) of the control rats. The Sor concentrations in the kidney and sciatic nerve of the DM+HT rats (1.26+/-0.29 and 9. 40+/-1.2 nmol/mg protein) were significantly lower than those in the DM rats. These values were reduced in the liver, unchanged in the kidney, and increased in the sciatic nerve from the hyperthyroid rats without diabetes. Thyroid hormone reduced the aldose reductase (AR) activities in the kidney, liver and sciatic nerve of the DM rats, and similarly reduced AR in the kidney and liver, but not in the sciatic nerve, of the non-diabetic rats. The sorbitol dehydrogenase (SDH) activities were decreased by thyroid hormone in the kidney and liver but not the sciatic nerve of DM rats. In the non-diabetic rats, this enzyme activity was decreased in liver, but not in kidney or sciatic nerve. A positive correlation between the Sor concentration and AR activity was observed in the kidney and liver but not in the sciatic nerve from control, DM and DM+HT rats. A negative correlation was observed between the Sor concentration and SDH activities in the same organs. These data suggest that thyroid hormone affects the sorbitol pathway, but the detailed mechanism whereby this hormone reduces the sorbitol content (especially in diabetic rats) remains to be clarified.
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Affiliation(s)
- R Shinohara
- Department of Biochemistry, Fujita Health University School of Hygiene, Toyoake, Aichi 470-1192, Japan
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38
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Kotake M, Shinohara R, Kato K, Hayakawa N, Hayashi R, Uchimura K, Makino M, Nagata M, Kakizawa H, Nakagawa H, Nagasaka A, Itoh M. Reduction of activity, but no decrease in concentration, of erythrocyte Cu,Zn-superoxide dismutase by hyperglycaemia in diabetic patients. Diabet Med 1998; 15:668-71. [PMID: 9702470 DOI: 10.1002/(sici)1096-9136(199808)15:8<668::aid-dia650>3.0.co;2-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Cu,Zn-superoxide dismutase(SOD) activity in erythrocytes is affected by various diseases, including diabetes mellitus (DM). We investigated changes in the Cu,Zn-SOD activity compared to changes in the Cu,Zn-SOD concentration in erythrocytes obtained from patients with Type 2 (non-insulin-dependent) diabetes mellitus. Cu,Zn-SOD activity in erythrocytes was significantly lower in Type 2 DM patients than in healthy non-diabetic subjects. The activity correlated negatively with HbA1c, but not with other indicators of metabolic control, such as fasting blood glucose or plasma cholesterol or triglyceride. However, there was no statistically significant difference in erythrocyte concentration of Cu,Zn-SOD between diabetic and control samples. Concentration did not correlate with enzymatic activity or HbA1c. These findings indicate that the inactivation of Cu,Zn-SOD activity in erythrocytes of Type 2 DM patients by hyperglycaemia may be slow, because there is a negative correlation between the enzyme activities and HbA1c levels, but not fasting blood glucose levels. This is consistent with glycosylation of the active site of Cu,Zn-SOD, without any effect of hyperglycaemia on the concentration of Cu,Zn-SOD.
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Affiliation(s)
- M Kotake
- Department of Internal Medicine, Fujita Health University School of Medicine and Hygiene, Aichi, Japan
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Abstract
Samples for use in the fluorometric enzymatic assay of sorbitol in erythrocytes are normally prepared using HClO4 and K2CO3. We have replaced these reagents with NaOH and ZnSO4. Human whole blood, erythrocyte and plasma samples prepared with NaOH and ZnSO4 are colorless and clear, while erythrocyte samples prepared with HClO4 and K2CO3 are a pale yellow-brown color. The sorbitol dehydrogenase reaction in the supernatant of the mixture of NaOH and ZnSO4 is inhibited, but ethylenediaminetetraacetate completely eliminates this effect. The sorbitol assay in erythrocytes prepared with NaOH and ZnSO4 shows higher sensitivity and reproducibility than did that with HClO4 and K2CO3. Recovery of sorbitol added to erythrocytes is similar in both assay methods. Concentrations of whole blood and erythrocyte sorbitol assayed by the present method are significantly higher in diabetics than in normals. Poorly controlled diabetics had higher whole blood and erythrocyte sorbitol than well-controlled diabetics. Whole blood sorbitol concentrations differed more between diabetic and normal subjects than did erythrocyte sorbitol concentrations.
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Affiliation(s)
- R Shinohara
- Department of Biochemistry, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan
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Hayashi R, Hayakawa N, Makino M, Nagata M, Kakizawa H, Uchimura K, Hamada M, Aono T, Fujita T, Shinohara R, Nagasaka A, Itoh M. Changes in erythrocyte sorbitol concentrations measured using an improved assay system in patients with diabetic complications and treated with aldose reductase inhibitor. Diabetes Care 1998; 21:672-3. [PMID: 9571366 DOI: 10.2337/diacare.21.4.672] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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41
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Sasaki E, Ohta Y, Shinohara R, Ishiguro I. Change of serum L-tryptophan levels following the development and recovery of acute puromycin aminonucleoside nephrosis in rats. Amino Acids 1997. [DOI: 10.1007/bf01373015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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42
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Yao Y, Kakimoto K, Ogawa HI, Kato Y, Hanada Y, Shinohara R, Yoshino E. Photodechlorination pathways of non-ortho substituted PCBs by ultraviolet irradiation in alkaline 2-propanol. Bull Environ Contam Toxicol 1997; 59:238-245. [PMID: 9211694 DOI: 10.1007/s001289900470] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Affiliation(s)
- Y Yao
- Department of Applied Chemistry, Faculty of Engineering, Kyushu Institute of Technology, 1-1 Sensuicho, Tobata, Kitakyushu 804, Japan
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Mano T, Shinohara R, Iwase K, Kotake M, Hamada M, Uchimuro K, Hayakawa N, Hayashi R, Nakai A, Ishizuki Y, Nagasaka A. Changes in free radical scavengers and lipid peroxide in thyroid glands of various thyroid disorders. Horm Metab Res 1997; 29:351-4. [PMID: 9288568 DOI: 10.1055/s-2007-979052] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
To clarify whether the changes of free radicals and its scavengers are induced by thyroid disorders, we measured levels of free radical scavengers and checked O2 radical generating systems in the human thyroid gland. Thyroid specimens from patients with Graves' disease, follicular adenoma, and papillary and follicular carcinomas contained significantly higher concentrations of xanthine oxidase (XOD) and gluthathione peroxidase (GSH-PX), compared to those in the normal thyroid tissue. Catalase concentration was significantly lower in thyroid specimens from patients with Graves' disease and significantly lower in thyroid specimens from patients with follicular adenoma, compared to those in the normal thyroid tissue. Cu/Zn superoxide dismutase (Cu/Zn SOD) concentration was significantly lower in the specimens from follicular adenoma and papillary carcinoma and Mn SOD concentration was significantly higher in the specimens from papillary carcinoma than those in the normal thyroid tissue. The lipid peroxide concentration, expressed as malondialdehyde (MDA) concentration, was significantly higher in the specimens from papillary carcinoma than those in the normal thyroid tissue. These findings suggest that the levels of free radicals are increased and are scavenged and catalyzed in the thyroid of Graves' disease, whereas free radicals and lipid peroxide are not completely scavenged in papillary carcinoma tissues, suggesting that these substances affect some role in cell function of thyroid tumors.
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Affiliation(s)
- T Mano
- Department of Internal Medicine, Fujita Health University School of Medicine, Aichi, Japan
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Ohta Y, Shinohara R, Ishiguro I. Role of the prosthetic groups of NADPH-cytochrome P450 reductase in 3-hydroxyanthranilamide-catalyzed, NADPH-dependent superoxide anion production. Redox Rep 1996; 2:339-44. [PMID: 27406415 DOI: 10.1080/13510002.1996.11747070] [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: 10/21/2022] Open
Abstract
The role of the prosthetic groups (FAD and FMN) of NADPH-cytochrome P450 reductase (P450 reductase)in 3-hydroxyanthranilamide (3-OH An.Amide)-catalyzed, NADPH-dependent superoxide anion (O2-) production via the reductase was examined using the native and FMN-depleted preparations of P450 reductase which was partially purified from rat liver microsomes. NADPH-dependent O2-production by the FMN-depleted preparation was about 10% of that by the native preparation. 3-OH An. Amide-catalyzed, NADPH-dependent O2-production by the FMN-depleted preparation was less than 10% of that by the native preparation. FMN supplementation returned O2-production to near normal. We observed the same results for NADPH oxidation and hydrogen peroxide formation. O2-production, NADPH oxidation, and hydrogen peroxide formation were inhibited by native superoxide dismutase (SOD), but not by boiled, denatured SOD. These results indicate that the prosthetic groups, especially FMN, of P450 reductase play a critical role in 3-OH An.Amide-catalyzed, NADPH-dependent O2-production via the reductase.
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Affiliation(s)
- Y Ohta
- a Department of Biochemistry , School of Medicine, Fujita Health University , Toyoake , Aichi , Japan
| | - R Shinohara
- b Department of Biochemistry , School of Health Sciences, Fujita Health University , Toyoake , Aichi , Japan
| | - I Ishiguro
- a Department of Biochemistry , School of Medicine, Fujita Health University , Toyoake , Aichi , Japan
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Nagai N, Kawakubo T, Kaneko F, Ishii M, Shinohara R, Saito Y, Shimamura H, Ohnishi A, Ogata H. Pharmacokinetics and polymorphic oxidation of dextromethorphan in a Japanese population. Biopharm Drug Dispos 1996; 17:421-33. [PMID: 8830977 DOI: 10.1002/(sici)1099-081x(199607)17:5<421::aid-bdd421>3.0.co;2-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
The plasma concentration and cumulative urinary excretion over 34 h of dextromethorphan, free and conjugated dextrorphan, and 3-hydroxymorphinan were determined in seven healthy Japanese subjects after oral administration of 30 mg dextromethorphan hydrobromide. Conjugated metabolites were extensively present, whereas no detectable dextromethorphan or free metabolites were observed in the plasma of any subject. On average, 72% of the dose was excreted in urine within 34 h. This was detected mainly as conjugated metabolites with only slight traces of dextromethorphan and free metabolites. From the time-courses of the metabolic ratio (the ratio of urinary output of dextromethorphan to dextrorphan), the metabolic ratios seemed to become constant 7.5 h after oral administration. Phenotyping was performed using metabolic ratios in 75 unrelated healthy Japanese subjects (43 males and 32 females). The logarithmic metabolic ratio was bimodally distributed and one subject (1.3%) was identified as a poor metabolizer.
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Affiliation(s)
- N Nagai
- Department of Biopharmaceutics, Meiji College of Pharmacy, Tokyo, Japan
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46
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Sasaki E, Ohta Y, Shinohara R, Ishiguro I. Role of serum free fatty acids in L-tryptophan transport into the liver. Adv Exp Med Biol 1996; 398:583-7. [PMID: 8906330 DOI: 10.1007/978-1-4613-0381-7_96] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- E Sasaki
- Department of Biochemistry, School of Medicine, Fujita Health University, Aichi, Japan
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47
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Sasaki E, Saito K, Ohta Y, Ishiguro I, Nagamura Y, Shinohara R, Takahashi H, Tagaya O. Specific binding of L-tryptophan to serum albumin and its function in vivo. Adv Exp Med Biol 1991; 294:611-4. [PMID: 1772094 DOI: 10.1007/978-1-4684-5952-4_78] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- E Sasaki
- Fujita-Gakuen Health University, Aichi, Japan
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48
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Muramoto M, Takeyama H, Taniguchi M, Shinagawa N, Yura J, Shinohara R. [Therapeutic effect of superoxide dismutase in combination with an antimicrobial agent on experimental peritonitis: preliminary report]. Nihon Geka Gakkai Zasshi 1990; 91:1652. [PMID: 2263250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- M Muramoto
- First Department of Surgery, Nagoya City University Medical School
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49
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Asano M, Suzuki Y, Shinohara R, Yura J. [Studies on the behavior of lipid peroxide in reperfusion induced arrhythmia]. Rinsho Byori 1989; 37:980-7. [PMID: 2607663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Lipid peroxidation of the cell membrane is one of the most important factors of reperfusion induced arrhythmia (RIA). To determine the role of lipid peroxidation in RIA, lipid peroxide (LPO) and superoxide dismutase (Total, Mn-SOD) were examined in this experiment. Thirty-four male Donryu strain rats (250-350 g body weight) were studied. After left thoracotomy and 5-minute ligature of LAD coronary artery, reperfusion was done under artificial ventilation with room air. The electrocardiogram (ECG) was recorded via standard limb leads. Twenty-four rats were divided into 5 groups and the heart tissue and blood samples were collected 1. preligature 2. after 1-minute ligature 3. after 4-minute ligature 4. 1-minute after declamping and 5. 10-minute after declamping. To examine the correlation between LPO and duration of RIA, samples from another 10 rats were collected as soon as RIA disappeared. LPO, SOD, CPK, and MDH (malate dehydrogenase) were measured in all samples. The total SOD level in heart tissue decreased after reperfusion (p less than 0.05). The heart tissue LPO (t-LPO) decreased after ligature (p less than 0.05), but each value in 2. to 5. was lower than 1., and no increase was found after reperfusion. A negative correlation of R = 0.87 (p less than 0.01) was found between t-LPO and RIA duration, but a positive correlation of R = 0.79 (p less than 0.01) was found between t-LPO and CPK. Moreover, the LPO level was lower in the RIA occurrence group than in the non-occurrence group (p less than 0.05).(ABSTRACT TRUNCATED AT 250 WORDS)
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50
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Shinohara R, Ishiguro I. [Detection methods of free radical related substances and the system for their elimination]. Rinsho Byori 1989; 37:1006-12. [PMID: 2607653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Lipid peroxide and SOD were selected as free radical related substances and system for their elimination, and detection was evaluated. NADPH-Cytochrome c reductase-Neotetrazolium (NT) method (Mic-NT method) and Xanthine oxidase-Nitrotetrazolium Blue method (XOD-NTB method) are current detection methods of SOD activities. They are based on the O2-specific reaction. Minimum detectable amount of SOD by the Mic-NT method and XOD-NTB method was about 15 ng and 200 ng, respectively. On the other hand, an XOD-NH2OH method which detects SOD activities based on the O2-specific oxidation reaction showed the minimum detectable amount of 2.5 ng. Consequently, SOD-detecting sensitivity of these methods was found to be in the following order: XOD-NH2OH method greater than Mic-NT method greater than XOD-NTB method. In addition, albumin caused a positive error in all three methods. With a monoclonal antibody-aided SOD-analyzing method (EIA method), the minimum detectable amount of SOD was 0.2 ng. The isoenzymes of SOD (Cu, Zn-SOD and Mn-SOD) could be detected separately by 1. deactivating Cu, Zn-SOD with CN- or H2O2 and regarding the remaining activity as Mn-SOD and 2. by deactivating Mn-SOD selectively through pretreatment of the sample with SDS and regarding the remaining activity as Cu, Zn-SOD. TBA method (Yagi's method) has been used frequently for the measurement of serum lipid peroxide.(ABSTRACT TRUNCATED AT 250 WORDS)
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