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1. In vitro and in vivo characterization of the antimalarial lead compound SSJ-183 in Plasmodium models

Author

Schleiferböck S, Scheurer C, Ihara M, Itoh I, Bathurst I, Burrows JN, Fantauzzi P, Lotharius J, Charman SA, Morizzi J, Shackleford DM, White KL, Brun R, and Wittlin S

Subjects
Therapeutics. Pharmacology, RM1-950
Abstract

Sarah Schleiferböck,1,2 Christian Scheurer,1,2 Masataka Ihara,3,4 Isamu Itoh,3,4 Ian Bathurst,5,† Jeremy N Burrows,5 Pascal Fantauzzi,5 Julie Lotharius,5 Susan A Charman,6 Julia Morizzi,6 David M Shackleford,6 Karen L White,6 Reto Brun,1,2 Sergio Wittlin1,21Swiss Tropical and Public Health Institute, Basel, 2University of Basel, Basel, Switzerland; 3Drug Discovery Science Research Center, Hoshi University, Shinagawa, Tokyo, Japan; 4Synstar Japan Co, Ltd, Odawara, Japan; 5Medicines for Malaria Venture, Geneva, Switzerland; 6Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Parkville, VIC, Australia †Ian Bathurst passed away on 26 June 2011Abstract: The objective of this work was to characterize the in vitro (Plasmodium falciparum) and in vivo (Plasmodium berghei) activity profile of the recently discovered lead compound SSJ-183. The molecule showed in vitro a fast and strong inhibitory effect on growth of all P. falciparum blood stages, with a tendency to a more pronounced stage-specific action on ring forms at low concentrations. Furthermore, the compound appeared to be equally efficacious on drug-resistant and drug-sensitive parasite strains. In vivo, SSJ-183 showed a rapid onset of action, comparable to that seen for the antimalarial drug artesunate. SSJ-183 exhibited a half-life of about 10 hours and no significant differences in absorption or exposure between noninfected and infected mice. SSJ-183 appears to be a promising new lead compound with an attractive antimalarial profile.Keywords: antimalarial studies, cross-resistance, stage-specificity, Plasmodium falciparum

Published
2013

2. Progress toward standardized diagnosis of vascular cognitive impairment: Guidelines from the Vascular Impairment of Cognition Classification Consensus Study

Author

Taragano, F.E., Kril, J., Cavalieri, M., Jellinger, K.A., Kovacs, G.G., Engelborghs, S., Lafosse, C., Bertolucci, P.H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T.C., Bocti, C., Fulop, T., Hogan, D.B., Hsiung, G.R., Kirk, A., Leach, L., Robillard, A., Sahlas, D.J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R.F., Korczyn, A.D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D.V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S.Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A.J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L.S., Ikram, M.K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A.J., López-Pousa, S., Martinez-Lage, P., Mataro, M., Börjesson-Hanson, A., Englund, E., Laukka, E.J., Qiu, C., Viitanen, M., Biessels, G.J., de Leeuw, F.-E., den Heijer, T., Exalto, L.G., Kappelle, L.J., Prins, N.D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W.M., Bilgic, B., Allan, L.M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P.J., Farrant, A., Fish, M., Harkness, K., Ince, P.G., Langhorne, P., Mann, J., Matthews, F.E., Mayer, P., Pendlebury, S.T., Perneczky, R., Peters, R., Smithard, D., Stephan, B.C., Swartz, J.E., Todd, S., Werring, D.J., Wijayasiri, S.N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J.N., Corrada, M.M., Crane, P.K., Diniz, B.S., Etcher, L., Fillit, H., Greenberg, S.M., Grinberg, L.T., Hurt, S.W., Lamar, M., Mielke, M., Ott, B.R., Perry, G., Powers, W.J., Ramos-Estebanez, C., Reed, B., Roberts, R.O., Romero, J.R., Saykin, A.J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Skrobot, Olivia A., Black, Sandra E., Chen, Christopher, DeCarli, Charles, Erkinjuntti, Timo, Ford, Gary A., Kalaria, Rajesh N., O'Brien, John, Pantoni, Leonardo, Pasquier, Florence, Roman, Gustavo C., Wallin, Anders, Sachdev, Perminder, Skoog, Ingmar, Ben-Shlomo, Yoav, Passmore, Anthony P., Love, Seth, and Kehoe, Patrick G.

Published
2018
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3. The Vascular Impairment of Cognition Classification Consensus Study

Author

Taragano, F.E., Kril, J., Cavalieri, M., Jellinger, K.A., Kovacs, G.G., Engelborghs, S., Lafosse, C., Bertolucci, P.H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T.C., Bocti, C., Fulop, T., Hogan, D.B., Hsiung, G.R., Kirk, A., Leach, L., Robillard, A., Sahlas, D.J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R.F., Korczyn, A.D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., DI Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D.V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S.Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A.J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L.S., Ikram, M.K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A.J., López-Pousa, S., Martinez-Lage, P., Mataro, M., Börjesson-Hanson, A., Englund, E., Laukka, E.J., Qiu, C., Viitanen, M., Biessels, G.J., de Leeuw, F.-E., den Heijer, T., Exalto, L.G., Kappelle, L.J., Prins, N.D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W.M., Bilgic, B., Allan, L.M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P.J., Farrant, A., Fish, M., Harkness, K., Ince, P.G., Langhorne, P., Mann, J., Matthews, F.E., Mayer, P., Pendlebury, S.T., Perneczky, R., Peters, R., Smithard, D., Stephan, B.C., Swartz, J.E., Todd, S., Werring, D.J., Wijayasiri, S.N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J.N., Corrada, M.M., Crane, P.K., Diniz, B.S., Etcher, L., Fillit, H., Greenberg, S.M., Grinberg, L.T., Hurt, S.W., Lamar, M., Mielke, M., Ott, B.R., Perry, G., Powers, W.J., Ramos-Estebanez, C., Reed, B., Roberts, R.O., Romero, J.R., Saykin, A.J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Skrobot, Olivia A., O'Brien, John, Black, Sandra, Chen, Christopher, DeCarli, Charles, Erkinjuntti, Timo, Ford, Gary A., Kalaria, Rajesh N., Pantoni, Leonardo, Pasquier, Florence, Roman, Gustavo C., Wallin, Anders, Sachdev, Perminder, Skoog, Ingmar, Ben-Shlomo, Yoav, Passmore, Anthony P., Love, Seth, and Kehoe, Patrick G.

Published
2017
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6. Roadmap on Machine learning in electronic structure

Author

Kulik, H J, primary, Hammerschmidt, T, additional, Schmidt, J, additional, Botti, S, additional, Marques, M A L, additional, Boley, M, additional, Scheffler, M, additional, Todorović, M, additional, Rinke, P, additional, Oses, C, additional, Smolyanyuk, A, additional, Curtarolo, S, additional, Tkatchenko, A, additional, Bartók, A P, additional, Manzhos, S, additional, Ihara, M, additional, Carrington, T, additional, Behler, J, additional, Isayev, O, additional, Veit, M, additional, Grisafi, A, additional, Nigam, J, additional, Ceriotti, M, additional, Schütt, K T, additional, Westermayr, J, additional, Gastegger, M, additional, Maurer, R J, additional, Kalita, B, additional, Burke, K, additional, Nagai, R, additional, Akashi, R, additional, Sugino, O, additional, Hermann, J, additional, Noé, F, additional, Pilati, S, additional, Draxl, C, additional, Kuban, M, additional, Rigamonti, S, additional, Scheidgen, M, additional, Esters, M, additional, Hicks, D, additional, Toher, C, additional, Balachandran, P V, additional, Tamblyn, I, additional, Whitelam, S, additional, Bellinger, C, additional, and Ghiringhelli, L M, additional

Published
2022
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7. Roadmap on Machine learning in electronic structure

Author

Kulik, H J, Hammerschmidt, T, Schmidt, J, Botti, S, Marques, M A L, Boley, M, Scheffler, M, Todorović, M, Rinke, P, Oses, C, Smolyanyuk, A, Curtarolo, S, Tkatchenko, A, Bartók, A P, Manzhos, S, Ihara, M, Carrington, T, Behler, J, Isayev, O, Veit, M, Grisafi, A, Nigam, J, Ceriotti, M, Schütt, K T, Westermayr, J, Gastegger, M, Maurer, R J, Kalita, B, Burke, K, Nagai, R, Akashi, R, Sugino, O, Hermann, J, Noé, F, Pilati, S, Draxl, C, Kuban, Martin, Rigamonti, Santiago, Scheidgen, Markus, Esters, M, Hicks, D, Toher, C, Balachandran, P V, Tamblyn, I, Whitelam, S, Bellinger, C, Ghiringhelli, Luca M., Kulik, H J, Hammerschmidt, T, Schmidt, J, Botti, S, Marques, M A L, Boley, M, Scheffler, M, Todorović, M, Rinke, P, Oses, C, Smolyanyuk, A, Curtarolo, S, Tkatchenko, A, Bartók, A P, Manzhos, S, Ihara, M, Carrington, T, Behler, J, Isayev, O, Veit, M, Grisafi, A, Nigam, J, Ceriotti, M, Schütt, K T, Westermayr, J, Gastegger, M, Maurer, R J, Kalita, B, Burke, K, Nagai, R, Akashi, R, Sugino, O, Hermann, J, Noé, F, Pilati, S, Draxl, C, Kuban, Martin, Rigamonti, Santiago, Scheidgen, Markus, Esters, M, Hicks, D, Toher, C, Balachandran, P V, Tamblyn, I, Whitelam, S, Bellinger, C, and Ghiringhelli, Luca M.

Abstract

In recent years, we have been witnessing a paradigm shift in computational materials science. In fact, traditional methods, mostly developed in the second half of the XXth century, are being complemented, extended, and sometimes even completely replaced by faster, simpler, and often more accurate approaches. The new approaches, that we collectively label by machine learning, have their origins in the fields of informatics and artificial intelligence, but are making rapid inroads in all other branches of science. With this in mind, this Roadmap article, consisting of multiple contributions from experts across the field, discusses the use of machine learning in materials science, and share perspectives on current and future challenges in problems as diverse as the prediction of materials properties, the construction of force-fields, the development of exchange correlation functionals for density-functional theory, the solution of the many-body problem, and more. In spite of the already numerous and exciting success stories, we are just at the beginning of a long path that will reshape materials science for the many challenges of the XXIth century., Peer Reviewed

Published
2022

15. Progress toward standardized diagnosis of vascular cognitive impairment

Author

Skrobot, Olivia A., Black, Sandra E., Chen, Christopher, DeCarli, Charles, Erkinjuntti, Timo, Ford, Gary A., Kalaria, Rajesh N., O'Brien, John, Pantoni, Leonardo, Pasquier, Florence, Roman, Gustavo C., Wallin, Anders, Sachdev, Perminder, Skoog, Ingmar, Ben-Shlomo, Yoav, Passmore, Anthony P., Love, Seth, Kehoe, Patrick G., Taragano, F.E., Kril, J., Cavalieri, M., Jellinger, K.A., Kovacs, G.G., Engelborghs, S., Lafosse, C., Bertolucci, P.H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T.C., Bocti, C., Fulop, T., Hogan, D.B., Hsiung, G.R., Kirk, A., Leach, L., Robillard, A., Sahlas, D.J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R.F., Korczyn, A.D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D.V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S.Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A.J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L.S., Ikram, M.K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A.J., López-Pousa, S., Martinez-Lage, P., Mataro, M., Börjesson-Hanson, A., Englund, E., Laukka, E.J., Qiu, C., Viitanen, M., Biessels, G.J., de Leeuw, F.-E., den Heijer, T., Exalto, L.G., Kappelle, L.J., Prins, N.D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W.M., Bilgic, B., Allan, L.M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P.J., Farrant, A., Fish, M., Harkness, K., Ince, P.G., Langhorne, Peter, Mann, J., Matthews, F.E., Mayer, P., Pendlebury, S.T., Perneczky, R., Peters, R., Smithard, D., Stephan, B.C., Swartz, J.E., Todd, S., Werring, D.J., Wijayasiri, S.N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J.N., Corrada, M.M., Crane, P.K., Diniz, B.S., Etcher, L., Fillit, H., Greenberg, S.M., Grinberg, L.T., Hurt, S.W., Lamar, M., Mielke, M., Ott, B.R., Perry, G., Powers, W.J., Ramos-Estebanez, C., Reed, B., Roberts, R.O., Romero, J.R., Saykin, A.J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Epidemiology, Neurology, General Practice, VICCCS Grp, Clinicum, Neurologian yksikkö, Department of Neurosciences, University of Helsinki, Department of Physics, HUS Neurocenter, Amsterdam Neuroscience - Neurodegeneration, APH - Personalized Medicine, and APH - Methodology

Subjects
0301 basic medicine, Neurology, Delphi Technique, Epidemiology, Delphi method, Delphi, Vascular dementia, 3124 Neurology and psychiatry, 0302 clinical medicine, SMALL VESSEL DISEASE, Neuropsychological assessment, Stroke, medicine.diagnostic_test, Health Policy, Neuropsychology, CLINICAL-CRITERIA, Brain, Cognition, 3. Good health, ALZHEIMERS-DISEASE, Settore MED/26 - NEUROLOGIA, Psychiatry and Mental health, Vascular cognitive impairment, NINDS-AIREN, ACUTE STROKE, STROKE, Clinical psychology, medicine.medical_specialty, Clinical Neurology, MINI-MENTAL-STATE, Guidelines, ATROPHY, 03 medical and health sciences, Cellular and Molecular Neuroscience, WHITE-MATTER CHANGES, Developmental Neuroscience, Vascular, medicine, Journal Article, Dementia, Humans, Intensive care medicine, business.industry, Dementia, Vascular, 3112 Neurosciences, medicine.disease, Criteria, 030104 developmental biology, consensus, Consensus, Neurology (clinical), Geriatrics and Gerontology, Psychiatry and Mental Health, CEREBRAL-BLOOD-FLOW, Human medicine, business, 030217 neurology & neurosurgery
Abstract

Hanna Jokinen tutkimusryhmän jäsenenä (VICCCS Grp) Introduction: Progress in understanding and management of vascular cognitive impairment (VCI) has been hampered by lack of consensus on diagnosis, reflecting the use of multiple different assessment protocols. A large multinational group of clinicians and researchers participated in a two-phase Vascular Impairment of Cognition Classification Consensus Study (VICCCS) to agree on principles (VICCCS-1) and protocols (VICCCS-2) for diagnosis of VCI. We present VICCCS-2. Methods: We used VICCCS-1 principles and published diagnostic guidelines as points of reference for an online Delphi survey aimed at achieving consensus on clinical diagnosis of VCI. Results: Six survey rounds comprising 65-79 participants agreed guidelines for diagnosis of VICCCS-revised mild and major forms of VCI and endorsed the National Institute of Neurological Disorders-Canadian Stroke Network neuropsychological assessment protocols and recommendations for imaging. Discussion: The VICCCS-2 suggests standardized use of the National Institute of Neurological Disorders-Canadian Stroke Network recommendations on neuropsychological and imaging assessment for diagnosis of VCI so as to promote research collaboration. (C) 2017 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Published
2018

19. A multicenter study of transient global amnesia for the better detection of magnetic resonance imaging abnormalities

Author

Higashida, K., primary, Okazaki, S., additional, Todo, K., additional, Sasaki, T., additional, Ohara, N., additional, Kohara, N., additional, Yamamoto, S., additional, Yamagami, H., additional, Hashikawa, K., additional, Yoshimoto, T., additional, Ihara, M., additional, Koga, M., additional, Szabo, K., additional, and Mochizuki, H., additional

Published
2020
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23. A potent neuropeptide Y antagonist, 1229U91, suppressed spontaneous food intake in Zucker fatty rats

Author

Ishihara, A., Tanaka, T., Kanatani, A., Fukami, T., Ihara, M., and Fukuroda, T.

Subjects
Rats -- Physiological aspects, Animal feeding and feeds -- Physiological aspects, Obesity -- Physiological aspects, Neuropeptide Y -- Physiological aspects, Biological sciences
Abstract

Male Zucker fatty and lean rats were studied to examine the influence of the potent neuropeptide Y (NPY) antagonist, 1229U91, on the suppression of the spontaneous food intake. The results provided evidence that NPY contributes to feeding to a greater extent in Zucker fatty compared to the lean rats. The hyperphagia in Zucker fatty rats was attributed to the abnormal activation of the NPYergic system.

Published
1998

27. Progress toward standardized diagnosis of vascular cognitive impairment: Guidelines from the Vascular Impairment of Cognition Classification Consensus Study

Author

Skrobot, Olivia A., Black, Sandra E., Chen, Christopher, DeCarli, Charles, Erkinjuntti, Timo, Ford, Gary A., Kalaria, Rajesh N., O'Brien, John, Pantoni, Leonardo, Pasquier, Florence, Roman, Gustavo C., Wallin, Anders, Sachdev, Perminder, Skoog, Ingmar, VICCCS Group, Taragano, F. E., Kril, J., Cavalieri, M., Jellinger, K. A., Kovacs, G. G., Engelborghs, S., Lafosse, C., Bertolucci, P. H., Brucki, S., Caramelli, P., De Toledo Ferraz Alves, T. C., Bocti, C., Fulop, T., Hogan, D. B., Hsiung, G. R., Kirk, A., Leach, L., Robillard, A., Sahlas, D. J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R. F., Korczyn, A. D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D. V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S. Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A. J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L. S., Ikram, M. K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A. J., López-Pousa, S., Martinez-Lage, P., Mataro, M., Börjesson-Hanson, A., Englund, E., Laukka, E. J., Qiu, C., Viitanen, M., Biessels, G. J., De Leeuw, F.-E., Den Heijer, T., Exalto, L. G., Kappelle, L. J., Prins, N. D., Richard, E., Schmand, B., Van Den Berg, E., Van Der Flier, W. M., Bilgic, B., Allan, L. M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P. J., Farrant, A., Fish, M., Harkness, K., Ince, P. G., Langhorne, P., Mann, J., Matthews, F. E., Mayer, P., Pendlebury, S. T., Perneczky, R., Peters, R., Smithard, D., Stephan, B. C., Swartz, J. E., Todd, S., Werring, D. J., Wijayasiri, S. N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J. N., Corrada, M. M., Crane, P. K., Diniz, B. S., Etcher, L., Fillit, H., Greenberg, S. M., Grinberg, L. T., Hurt, S. W., Lamar, M., Mielke, M., Ott, B. R., Perry, G., Powers, W. J., Ramos-Estebanez, C., Reed, B., Roberts, R. O., Romero, J. R., Saykin, A. J., Seshadri, S., Silbert, L., Stern, Yaakov, Zarow, C., Ben-Shlomo, Yoav, Passmore, Anthony P., Love, Seth, and Kehoe, Patrick G.

Subjects
Cognition disorders, Cognition disorders--Diagnosis, FOS: Clinical medicine, Neurosciences
Abstract

Introduction: Progress in understanding and management of vascular cognitive impairment (VCI) has been hampered by lack of consensus on diagnosis, reflecting the use of multiple different assessment protocols. A large multinational group of clinicians and researchers participated in a two-phase Vascular Impairment of Cognition Classification Consensus Study (VICCCS) to agree on principles (VICCCS-1) and protocols (VICCCS-2) for diagnosis of VCI. We present VICCCS-2. Methods: We used VICCCS-1 principles and published diagnostic guidelines as points of reference for an online Delphi survey aimed at achieving consensus on clinical diagnosis of VCI. Results: Six survey rounds comprising 65–79 participants agreed guidelines for diagnosis of VICCCS-revised mild and major forms of VCI and endorsed the National Institute of Neurological Disorders–Canadian Stroke Network neuropsychological assessment protocols and recommendations for imaging. Discussion: The VICCCS-2 suggests standardized use of the National Institute of Neurological Disorders–Canadian Stroke Network recommendations on neuropsychological and imaging assessment for diagnosis of VCI so as to promote research collaboration.

Published
2018
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28. Carotid artery disease in post‐stroke survivors and effects of enriched environment on stroke pathology in a mouse model of carotid artery stenosis

Author

Hase, Y., primary, Polvikoski, T. M., additional, Ihara, M., additional, Hase, M., additional, Zafar, R., additional, Stevenson, W., additional, Allan, L. M., additional, Ennaceur, A., additional, Horsburgh, K., additional, Gallart‐Palau, X., additional, Sze, S. K., additional, and Kalaria, R. N., additional

Published
2019
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36. Progress toward standardized diagnosis of vascular cognitive impairment: Guidelines from the Vascular Impairment of Cognition Classification Consensus Study

Author

Skrobot, O. A., Black, S. E., Chen, C., Decarli, C., Erkinjuntti, T., Ford, G. A., Kalaria, R. N., O'Brien, J., Pantoni, L., Pasquier, F., Roman, G. C., Wallin, A., Sachdev, P., Skoog, I., Taragano, F. E., Kril, J., Cavalieri, M., Jellinger, K. A., Kovacs, G. G., Engelborghs, S., Lafosse, C., Bertolucci, P. H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T. C., Bocti, C., Fulop, T., Hogan, D. B., Hsiung, G. R., Kirk, A., Leach, L., Robillard, A., Sahlas, D. J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R. F., Korczyn, A. D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, Guido, Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D. V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S. Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A. J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L. S., Ikram, M. K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A. J., Lopez-Pousa, S., Martinez-Lage, P., Mataro, M., Borjesson-Hanson, A., Englund, E., Laukka, E. J., Qiu, C., Viitanen, M., Biessels, G. J., de Leeuw, F. -E., den Heijer, T., Exalto, L. G., Kappelle, L. J., Prins, N. D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W. M., Bilgic, B., Allan, L. M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P. J., Farrant, A., Fish, M., Harkness, K., Ince, P. G., Langhorne, P., Mann, J., Matthews, F. E., Mayer, P., Pendlebury, S. T., Perneczky, R., Peters, R., Smithard, D., Stephan, B. C., Swartz, J. E., Todd, S., Werring, D. J., Wijayasiri, S. N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J. N., Corrada, M. M., Crane, P. K., Diniz, B. S., Etcher, L., Fillit, H., Greenberg, S. M., Grinberg, L. T., Hurt, S. W., Lamar, M., Mielke, M., Ott, B. R., Perry, G., Powers, W. J., Ramos-Estebanez, C., Reed, B., Roberts, R. O., Romero, J. R., Saykin, A. J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Ben-Shlomo, Y., Passmore, A. P., Love, S., Kehoe, P. G., Gainotti G., Skrobot, O. A., Black, S. E., Chen, C., Decarli, C., Erkinjuntti, T., Ford, G. A., Kalaria, R. N., O'Brien, J., Pantoni, L., Pasquier, F., Roman, G. C., Wallin, A., Sachdev, P., Skoog, I., Taragano, F. E., Kril, J., Cavalieri, M., Jellinger, K. A., Kovacs, G. G., Engelborghs, S., Lafosse, C., Bertolucci, P. H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T. C., Bocti, C., Fulop, T., Hogan, D. B., Hsiung, G. R., Kirk, A., Leach, L., Robillard, A., Sahlas, D. J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R. F., Korczyn, A. D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, Guido, Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D. V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S. Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A. J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L. S., Ikram, M. K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A. J., Lopez-Pousa, S., Martinez-Lage, P., Mataro, M., Borjesson-Hanson, A., Englund, E., Laukka, E. J., Qiu, C., Viitanen, M., Biessels, G. J., de Leeuw, F. -E., den Heijer, T., Exalto, L. G., Kappelle, L. J., Prins, N. D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W. M., Bilgic, B., Allan, L. M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P. J., Farrant, A., Fish, M., Harkness, K., Ince, P. G., Langhorne, P., Mann, J., Matthews, F. E., Mayer, P., Pendlebury, S. T., Perneczky, R., Peters, R., Smithard, D., Stephan, B. C., Swartz, J. E., Todd, S., Werring, D. J., Wijayasiri, S. N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J. N., Corrada, M. M., Crane, P. K., Diniz, B. S., Etcher, L., Fillit, H., Greenberg, S. M., Grinberg, L. T., Hurt, S. W., Lamar, M., Mielke, M., Ott, B. R., Perry, G., Powers, W. J., Ramos-Estebanez, C., Reed, B., Roberts, R. O., Romero, J. R., Saykin, A. J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Ben-Shlomo, Y., Passmore, A. P., Love, S., Kehoe, P. G., and Gainotti G.

Abstract

Introduction: Progress in understanding and management of vascular cognitive impairment (VCI) has been hampered by lack of consensus on diagnosis, reflecting the use of multiple different assessment protocols. A large multinational group of clinicians and researchers participated in a two-phase Vascular Impairment of Cognition Classification Consensus Study (VICCCS) to agree on principles (VICCCS-1) and protocols (VICCCS-2) for diagnosis of VCI. We present VICCCS-2. Methods: We used VICCCS-1 principles and published diagnostic guidelines as points of reference for an online Delphi survey aimed at achieving consensus on clinical diagnosis of VCI. Results: Six survey rounds comprising 65–79 participants agreed guidelines for diagnosis of VICCCS-revised mild and major forms of VCI and endorsed the National Institute of Neurological Disorders–Canadian Stroke Network neuropsychological assessment protocols and recommendations for imaging. Discussion: The VICCCS-2 suggests standardized use of the National Institute of Neurological Disorders–Canadian Stroke Network recommendations on neuropsychological and imaging assessment for diagnosis of VCI so as to promote research collaboration.

Published
2018

37. Determination with a Genetic Algorithm of Reactant Coverages on H2/H2O Electrodes Based on Electrochemical Kinetics Under Reversible SOFC/EC Operation▴.

Author

Koga, Y., Hasegawa, K., Lee, H., Kameda, K., Iida, Y., and Ihara, M.

Subjects
SOLID oxide fuel cell electrodes, ELECTROCHEMICAL electrodes, GENETIC algorithms, SOLID oxide fuel cells, ELECTROLYSIS, ELECTRODE potential, BIOCHEMICAL substrates
Abstract

A scheme to quantify surface coverages of reactants at triple phase boundary (TPB) by electrochemical measurements was constructed to evaluate the electrode performance of solid oxide fuel cells and electrolysis cells (SOFC/EC). The developments of electrode requires that the intrinsic properties of materials separated from the effect of geometric structure of the electrode. The proposed reaction model at TPB of H2/H2O electrodes is composed of competitive adsorptions and Langmure‐type surface reactions under the relationship between oxygen activity (aO) and the electrode potential. To determine the reaction constant (ka) and four adsorption equilibrium constants at TPB (KH, KH2O, KO and KOH), a mashine learning approach with a genetic algorithm as an optimization method and the experimental data of reversible SOFC/ECs with different H2/H2O partial pressures as the learning data was developed. As a result, even though all experimental curves of the current density vs. aO in SOFC operation were fitted by numerous sets of the five constants, the coverages under different conditions could be uniquely determined. Results suggest that TPB at 900 °C was almost vacant with a small amount of H2O in SOEC operation, and was not vacant and the OH coverage increased with increasing aO in SOFC operation. [ABSTRACT FROM AUTHOR]

Published
2020
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38. METACOHORTS for the study of vascular disease and its contribution to cognitive decline and neurodegeneration: An initiative of the Joint Programme for Neurodegenerative Disease Research

Author

Dichgans, M., Wardlaw, J., Smith, E., Zietemann, V., Seshadri, S., Sachdev, P., Biessels, G.J., Fazekas, F., Benavente, O., Pantoni, L., Leeuw, F. de, Norrving, B., Matthews, P., Chen, C., Mok, V., During, M., Whiteley, W., Shuler, K., Alonso, A., Black, S.E., Brayne, C., Chabriat, H., Cordonnier, C., Doubal, F., Duzel, E., Ewers, M., Frayne, R., Hachinski, V., Ikram, M.A., Jessen, F., Jouvent, E., Linn, J., O'Brien, J., Oostenbrugge, R. van, Malik, R., Mazoyer, B., Schmidt, R., Sposato, L.A., Stephan, B., Swartz, R.H., Vernooij, M., Viswanathan, A., Werring, D., Abe, K., Allan, L., Arba, F., Bae, H.J., Bath, P.M.W., Bordet, R., Breteler, M., Choi, S., Deary, I., DeCarli, C., Ebmeier, K., Feng, L., Greenberg, S.M., Ihara, M., Kalaria, R., Kim, S., Lim, J.S., Lindley, R.I., Mead, G., Murray, A., Quinn, T., Ritchie, C., Sacco, R., Salman, R.A., Sprigg, N., Sudlow, C., Thomas, A., Boxtel, M. van, Grond, J. van der, Lugt, A. van der, Yang, Y.H., VISTA Collaboration, and METACOHORTS Consortiums

Subjects
Dementia, Neurodegeneration, Cerebrovascular disease, Survey, Cohorts, Small vessel disease
Published
2016

39. METACOHORTS for the study of vascular disease and its contribution to cognitive decline and neurodegeneration: An initiative of the Joint Programme for Neurodegenerative Disease Research

Author

Dichgans, M, Wardlaw, J, Smith, E, Zietemann, V, Seshadri, S, Sachdev, P, Biessels, GJ, Fazekas, F, Benavente, O, Pantoni, L, van der Leeuw, F, Norrving, B, Matthews, P, Chen, C (Christopher Li Hsian), Mok, V, During, M, Whiteley, W, Shuler, K, Alonso, A, Black, SE, Brayne, C, Chabriat, H, Cordonnier, C, Doubal, F, Duzel, E, Ewers, M, Frayne, R, Hachinski, V, Ikram, Arfan, Jessen, F, Jouvent, E, Linn, J, O'Brien, J, van Oostenbrugge, R, Malik, R, Mazoyer, B, Schmidt, R, Sposato, LA, Stephan, B, Swartz, RH, Vernooij, Meike, Viswanathan, A, Werring, D, Abe, K, Allan, L, Arba, F, Bae, H J, Bath, P M W, Bordet, R, Breteler, M, Choi, S, Deary, I, DeCarli, C, Ebmeier, K, Feng, L, Greenberg, SM, Ihara, M, Kalaria, R, Kim, S, Lim, J S, Lindley, RI, Mead, G, Murray, A, Quinn, T, Ritchie, C, Sacco, R, Salman, RA, Sprigg, N, Sudlow, C, Thomas, A, van Boxtel, M, van der Grond, J, van der Lugt, Aad, Yang, Y H, MUMC+: MA Neurologie (3), Klinische Neurowetenschappen, Section Neuropsychology, Psychiatrie & Neuropsychologie, RS: FPN NPPP I, Epidemiology, Neurology, and Radiology & Nuclear Medicine

Subjects
Male, LACUNAR STROKE, Clinical Neurology, SMALL-VESSEL DISEASE, METACOHORTS Consortium. Electronic address: joanna.wardlaw@ed.ac.uk, Cohort Studies, Risk Factors, Surveys and Questionnaires, WHITE-MATTER HYPERINTENSITIES, Prevalence, Humans, Cognitive Dysfunction, Neurodegeneration, METACOHORTS Consortium, Cerebrovascular disease, Survey, Aged, Science & Technology, Dementia, Vascular, Incidence, STROKE SURVIVORS, Neurodegenerative Diseases, 1103 Clinical Sciences, IMPAIRMENT, Neurodegeneration, Cohorts, Survey, Small vessel disease, ALZHEIMERS-DISEASE, Cerebrovascular Disorders, GAIT DISORDERS, Geriatrics, Female, Dementia, Neurosciences & Neurology, STRUCTURAL NETWORK EFFICIENCY, 1109 Neurosciences, Life Sciences & Biomedicine, PARKINSONIAN SIGNS, Cohorts
Abstract

Dementia is a global problem and major target for health care providers. Although up to 45% of cases are primarily or partly due to cerebrovascular disease, little is known of these mechanisms or treatments because most dementia research still focuses on pure Alzheimer's disease. An improved understanding of the vascular contributions to neurodegeneration and dementia, particularly by small vessel disease, is hampered by imprecise data, including the incidence and prevalence of symptomatic and clinically “silent” cerebrovascular disease, long-term outcomes (cognitive, stroke, or functional), and risk factors. New large collaborative studies with long follow-up are expensive and time consuming, yet substantial data to advance the field are available. In an initiative funded by the Joint Programme for Neurodegenerative Disease Research, 55 international experts surveyed and assessed available data, starting with European cohorts, to promote data sharing to advance understanding of how vascular disease affects brain structure and function, optimize methods for cerebrovascular disease in neurodegeneration research, and focus future research on gaps in knowledge. Here, we summarize the results and recommendations from this initiative. We identified data from over 90 studies, including over 660,000 participants, many being additional to neurodegeneration data initiatives. The enthusiastic response means that cohorts from North America, Australasia, and the Asia Pacific Region are included, creating a truly global, collaborative, data sharing platform, linked to major national dementia initiatives. Furthermore, the revised World Health Organization International Classification of Diseases version 11 should facilitate recognition of vascular-related brain damage by creating one category for all cerebrovascular disease presentations and thus accelerate identification of targets for dementia prevention.

Published
2016

41. CSF biomarkers for Amyloid Related Imaging Abnormalities (ARIA) in immunotherapy trials of Alzheimer’s disease and Cerebral Amyloid Angiopathy: report from the iCAß International Network

Author

PIAZZA, FABRIZIO, Greenberg, SM, Winblad, B, Fox, N, Lleo, A, Tagliavini, F, Nitrini, R, Sakaguchi, H, Ihara, M, Caulo, M, Uncini, A, Touat, M, Levy, R, Longoni, M, DiFrancesco, JC, Piazza, F, Greenberg, S, Winblad, B, Fox, N, Lleo, A, Tagliavini, F, Nitrini, R, Sakaguchi, H, Ihara, M, Caulo, M, Uncini, A, Touat, M, Levy, R, Longoni, M, and Difrancesco, J

Subjects
BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, MED/04 - PATOLOGIA GENERALE, cerebral amyloid angiopathy, alzheimer's disease, biomarkers, clinical trials, diagnosis, amyloid related imaging abnormalities, BIO/14 - FARMACOLOGIA, MED/05 - PATOLOGIA CLINICA, MED/50 - SCIENZE TECNICHE MEDICHE APPLICATE
Published
2015

45. The Vascular Impairment of Cognition Classification Consensus Study

Author

Skrobot, O. A., Love, S., Kehoe, P. G., O'Brien, J., Black, S., Chen, C., DeCarli, C., Erkinjuntti, T., Ford, G. A., Kalaria, R. N., Pantoni, L., Pasquier, F., Roman, G. C., Wallin, A., Sachdev, P., Kril, J., Skoog, I., Ben-Shlomo, Y., Passmore, A. P., Engelborghs, S., Lafosse, C., Bertolucci, P. H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T. C., Bocti, C., Fulop, T., Hogan, D. B., Hsiung, G. R., Kirk, A., Leach, L., Robillard, A., Sahlas, D. J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R. F., Korczyn, A. D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., DI Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D. V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S. Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A. J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L. S., Ikram, M. K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A. J., Lopez-Pousa, S., Martinez-Lage, P., Mataro, M., Borjesson-Hanson, A., Englund, E., Laukka, E. J., Qiu, C., Viitanen, M., Biessels, G. J., de Leeuw, F. -E., den Heijer, T., Exalto, L. G., Kappelle, L. J., Prins, N. D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W. M., Bilgic, B., Allan, L. M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P. J., Farrant, A., Fish, M., Harkness, K., Ince, P. G., Langhorne, P., Mann, J., Matthews, F. E., Mayer, P., Pendlebury, S. T., Perneczky, R., Peters, R., Smithard, D., Stephan, B. C., Swartz, J. E., Todd, S., Werring, D. J., Wijayasiri, S. N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J. N., Corrada, M. M., Crane, P. K., Diniz, B. S., Etcher, L., Fillit, H., Greenberg, S. M., Grinberg, L. T., Hurt, S. W., Lamar, M., Mielke, M., Ott, B. R., Perry, G., Powers, W. J., Ramos-Estebanez, C., Reed, B., Roberts, R. O., Romero, J. R., Saykin, A. J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Gainotti G., Logroscino G. (ORCID:0000-0003-1301-5343), Skrobot, O. A., Love, S., Kehoe, P. G., O'Brien, J., Black, S., Chen, C., DeCarli, C., Erkinjuntti, T., Ford, G. A., Kalaria, R. N., Pantoni, L., Pasquier, F., Roman, G. C., Wallin, A., Sachdev, P., Kril, J., Skoog, I., Ben-Shlomo, Y., Passmore, A. P., Engelborghs, S., Lafosse, C., Bertolucci, P. H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T. C., Bocti, C., Fulop, T., Hogan, D. B., Hsiung, G. R., Kirk, A., Leach, L., Robillard, A., Sahlas, D. J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R. F., Korczyn, A. D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., DI Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D. V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S. Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A. J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L. S., Ikram, M. K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A. J., Lopez-Pousa, S., Martinez-Lage, P., Mataro, M., Borjesson-Hanson, A., Englund, E., Laukka, E. J., Qiu, C., Viitanen, M., Biessels, G. J., de Leeuw, F. -E., den Heijer, T., Exalto, L. G., Kappelle, L. J., Prins, N. D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W. M., Bilgic, B., Allan, L. M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P. J., Farrant, A., Fish, M., Harkness, K., Ince, P. G., Langhorne, P., Mann, J., Matthews, F. E., Mayer, P., Pendlebury, S. T., Perneczky, R., Peters, R., Smithard, D., Stephan, B. C., Swartz, J. E., Todd, S., Werring, D. J., Wijayasiri, S. N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J. N., Corrada, M. M., Crane, P. K., Diniz, B. S., Etcher, L., Fillit, H., Greenberg, S. M., Grinberg, L. T., Hurt, S. W., Lamar, M., Mielke, M., Ott, B. R., Perry, G., Powers, W. J., Ramos-Estebanez, C., Reed, B., Roberts, R. O., Romero, J. R., Saykin, A. J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Gainotti G., and Logroscino G. (ORCID:0000-0003-1301-5343)

Abstract

Introduction Numerous diagnostic criteria have tried to tackle the variability in clinical manifestations and problematic diagnosis of vascular cognitive impairment (VCI) but none have been universally accepted. These criteria have not been readily comparable, impacting on clinical diagnosis rates and in turn prevalence estimates, research, and treatment. Methods The Vascular Impairment of Cognition Classification Consensus Study (VICCCS) involved participants (81% academic researchers) from 27 countries in an online Delphi consensus study. Participants reviewed previously proposed concepts to develop new guidelines. Results VICCCS had a mean of 122 (98–153) respondents across the study and a 67% threshold to represent consensus. VICCCS redefined VCI including classification of mild and major forms of VCI and subtypes. It proposes new standardized VCI-associated terminology and future research priorities to address gaps in current knowledge. Discussion VICCCS proposes a consensus-based updated conceptualization of VCI intended to facilitate standardization in research.

Published
2017

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