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Crowe AD, Sánchez JM, Moore SG, McDonald M, Rodrigues R, Morales MF, Orsi de Freitas L, Randi F, Furlong J, Browne JA, Rabaglino MB, Lonergan P, Butler ST. Fertility in seasonal-calving pasture-based lactating dairy cows following timed artificial insemination or timed embryo transfer with fresh or frozen in vitro-produced embryos. J Dairy Sci 2024; 107:1788-1804. [PMID: 37806631 DOI: 10.3168/jds.2023-23520] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 09/18/2023] [Indexed: 10/10/2023]
Abstract
The objective was to compare pregnancy per service event (P/S) in lactating dairy cows following timed artificial insemination (AI) or timed embryo transfer (ET) using either fresh or frozen in vitro-produced embryos. Oocytes were collected once per week for up to 9 wk using transvaginal ovum pick-up from elite dairy donors (ET-DAIRY; n = 40; Holstein-Friesian and Jersey) and elite beef donors (ET-ELITE-BEEF; n = 21; Angus). Both ET-DAIRY and ET-ELITE-BEEF donors consisted of heifers and cows. In addition, oocytes were collected from the ovaries of beef heifers of known pedigree following slaughter at a commercial abattoir (ET-COMM-BEEF; n = 119). Following in vitro maturation and fertilization, presumptive zygotes were cultured in vitro to the blastocyst stage. Grade 1 blastocysts were either transferred fresh or frozen for on-farm thawing and direct transfer. A total of 1,106 recipient cows (all lactating, predominantly Holstein-Friesian) located on 16 herdlets were blocked based on parity, calving date, and Economic Breeding Index, and randomly assigned to receive AI (n = 243) or ET (n = 863) after estrous synchronization with a 10-d Progesterone-synch protocol. Cows assigned to ET were further randomized to receive fresh (n = 187) or frozen (n = 178) ET-ELITE-BEEF embryos, fresh (n = 169) or frozen (n = 162) ET-DAIRY embryos, or fresh (n = 80) or frozen (n = 87) ET-COMM-BEEF embryos. Pregnancy was diagnosed using transrectal ultrasound on d 32 to 35 after synchronized ovulation and confirmed on d 62 to 65, at which time fetal sex was determined. Pregnancy per service event at d 32 was not different between AI (48.8%) and ET (48.9%) and did not differ between dairy and beef embryos (50.3% vs. 48.1%, respectively). However, P/S was less on d 32 following transfer of frozen embryos (41.6%) compared with fresh embryos (56.1%). Pregnancy loss between d 32 and 62 was greater for ET (15.1%) compared with AI (4.7%), with greater losses observed for frozen beef (18.5%), fresh beef (17.3%), and frozen dairy (19.2%) compared with fresh dairy (6.0%) embryos. Serum progesterone (P4) concentration on d 7 was associated with P/S at d 32 and 62. Cows in the quartile with the least serum P4 concentrations (quartile 1) had less probability of being pregnant on d 32 (33.4%) compared with cows in the 3 upper quartiles for serum P4 (45.7%, 55.6%, and 61.2% for quartile 2, quartile 3, and quartile 4, respectively). Sex ratio (male:female) at d 62 was skewed toward more male fetuses following ET (61.1:38.9) compared with AI (43.2:56.8) and was consistent with the sex ratio among in vitro blastocysts (61.2:38.8). In conclusion, P/S was similar for AI and ET, although pregnancy loss between d 32 and 62 was greater for ET than for AI.
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Affiliation(s)
- A D Crowe
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland P61 C996; School of Agriculture and Food Science, University College Dublin, Ireland D04 N2E5
| | - J M Sánchez
- School of Agriculture and Food Science, University College Dublin, Ireland D04 N2E5; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, 28040, Madrid, Spain
| | - S G Moore
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland P61 C996
| | - M McDonald
- School of Agriculture and Food Science, University College Dublin, Ireland D04 N2E5
| | | | | | | | - F Randi
- CEVA Santé Animale, Libourne, Bordeaux, 33500, France
| | - J Furlong
- School of Veterinary Medicine, University College Dublin, Belfield, Dublin, 4, Ireland
| | - J A Browne
- School of Agriculture and Food Science, University College Dublin, Ireland D04 N2E5
| | - M B Rabaglino
- School of Agriculture and Food Science, University College Dublin, Ireland D04 N2E5
| | - P Lonergan
- School of Agriculture and Food Science, University College Dublin, Ireland D04 N2E5.
| | - S T Butler
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland P61 C996.
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Lonergan P, Beltman M, Butler ST, Crowe MA, Evans ACO, Fair T, Fair S, Forde N, Gasparrini B, Kenny DA, Miyamoto A, Sánchez JM. Editorial: Recent scientific advances in reproduction and fertility in ruminants: an overview of the 11th International Ruminant Reproduction Symposium, Galway, Ireland, 2023. Animal 2023; 17 Suppl 1:100903. [PMID: 37567677 DOI: 10.1016/j.animal.2023.100903] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 06/29/2023] [Indexed: 08/13/2023] Open
Affiliation(s)
- P Lonergan
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland.
| | - M Beltman
- School of Veterinary Medicine, University College Dublin, Dublin, Ireland
| | - S T Butler
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland
| | - M A Crowe
- School of Veterinary Medicine, University College Dublin, Dublin, Ireland
| | - A C O Evans
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - T Fair
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - S Fair
- Department of Biological Sciences, Faculty of Science and Engineering, University of Limerick, Ireland
| | - N Forde
- Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - B Gasparrini
- Department of Veterinary Medicine and Animal Production, University of Naples Federico 13 II, Naples, Italy
| | - D A Kenny
- Teagasc, Animal and Grassland Research and Innovation Centre, Grange, Dunsany, Co. Meath, Ireland
| | - A Miyamoto
- Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Japan
| | - J M Sánchez
- Andalusian Institute of Agriculture and Fisheries Research and Training (IFAPA), Hinojosa del Duque, Córdoba, Spain
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van der Meer D, Shadrin AA, O'Connell K, Bettella F, Djurovic S, Wolfers T, Alnæs D, Agartz I, Smeland OB, Melle I, Sánchez JM, Linden DEJ, Dale AM, Westlye LT, Andreassen OA, Frei O, Kaufmann T. Boosting Schizophrenia Genetics by Utilizing Genetic Overlap With Brain Morphology. Biol Psychiatry 2022; 92:291-298. [PMID: 35164939 DOI: 10.1016/j.biopsych.2021.12.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 12/06/2021] [Accepted: 12/09/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Schizophrenia is a complex polygenic disorder with subtle, distributed abnormalities in brain morphology. There are indications of shared genetic architecture between schizophrenia and brain measures despite low genetic correlations. Through the use of analytical methods that allow for mixed directions of effects, this overlap may be leveraged to improve our understanding of underlying mechanisms of schizophrenia and enrich polygenic risk prediction outcome. METHODS We ran a multivariate genome-wide analysis of 175 brain morphology measures using data from 33,735 participants of the UK Biobank and analyzed the results in a conditional false discovery rate together with schizophrenia genome-wide association study summary statistics of the Psychiatric Genomics Consortium (PGC) Wave 3. We subsequently created a pleiotropy-enriched polygenic score based on the loci identified through the conditional false discovery rate approach and used this to predict schizophrenia in a nonoverlapping sample of 743 individuals with schizophrenia and 1074 healthy controls. RESULTS We found that 20% of the loci and 50% of the genes significantly associated with schizophrenia were also associated with brain morphology. The conditional false discovery rate analysis identified 428 loci, including 267 novel loci, significantly associated with brain-linked schizophrenia risk, with functional annotation indicating high relevance for brain tissue. The pleiotropy-enriched polygenic score explained more variance in liability than conventional polygenic scores across several scenarios. CONCLUSIONS Our results indicate strong genetic overlap between schizophrenia and brain morphology with mixed directions of effect. The results also illustrate the potential of exploiting polygenetic overlap between brain morphology and mental disorders to boost discovery of brain tissue-specific genetic variants and its use in polygenic risk frameworks.
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Affiliation(s)
- Dennis van der Meer
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
| | - Alexey A Shadrin
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kevin O'Connell
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Francesco Bettella
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Thomas Wolfers
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Olav B Smeland
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jennifer Monereo Sánchez
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - David E J Linden
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Oleksandr Frei
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Tobias Kaufmann
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
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4
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Sønderby IE, Ching CRK, Thomopoulos SI, van der Meer D, Sun D, Villalon‐Reina JE, Agartz I, Amunts K, Arango C, Armstrong NJ, Ayesa‐Arriola R, Bakker G, Bassett AS, Boomsma DI, Bülow R, Butcher NJ, Calhoun VD, Caspers S, Chow EWC, Cichon S, Ciufolini S, Craig MC, Crespo‐Facorro B, Cunningham AC, Dale AM, Dazzan P, de Zubicaray GI, Djurovic S, Doherty JL, Donohoe G, Draganski B, Durdle CA, Ehrlich S, Emanuel BS, Espeseth T, Fisher SE, Ge T, Glahn DC, Grabe HJ, Gur RE, Gutman BA, Haavik J, Håberg AK, Hansen LA, Hashimoto R, Hibar DP, Holmes AJ, Hottenga J, Hulshoff Pol HE, Jalbrzikowski M, Knowles EEM, Kushan L, Linden DEJ, Liu J, Lundervold AJ, Martin‐Brevet S, Martínez K, Mather KA, Mathias SR, McDonald‐McGinn DM, McRae AF, Medland SE, Moberget T, Modenato C, Monereo Sánchez J, Moreau CA, Mühleisen TW, Paus T, Pausova Z, Prieto C, Ragothaman A, Reinbold CS, Reis Marques T, Repetto GM, Reymond A, Roalf DR, Rodriguez‐Herreros B, Rucker JJ, Sachdev PS, Schmitt JE, Schofield PR, Silva AI, Stefansson H, Stein DJ, Tamnes CK, Tordesillas‐Gutiérrez D, Ulfarsson MO, Vajdi A, van 't Ent D, van den Bree MBM, Vassos E, Vázquez‐Bourgon J, Vila‐Rodriguez F, Walters GB, Wen W, Westlye LT, Wittfeld K, Zackai EH, Stefánsson K, Jacquemont S, Thompson PM, Bearden CE, Andreassen OA. Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs. Hum Brain Mapp 2022; 43:300-328. [PMID: 33615640 PMCID: PMC8675420 DOI: 10.1002/hbm.25354] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [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: 08/31/2020] [Revised: 01/07/2021] [Accepted: 01/13/2021] [Indexed: 01/21/2023] Open
Abstract
The Enhancing NeuroImaging Genetics through Meta-Analysis copy number variant (ENIGMA-CNV) and 22q11.2 Deletion Syndrome Working Groups (22q-ENIGMA WGs) were created to gain insight into the involvement of genetic factors in human brain development and related cognitive, psychiatric and behavioral manifestations. To that end, the ENIGMA-CNV WG has collated CNV and magnetic resonance imaging (MRI) data from ~49,000 individuals across 38 global research sites, yielding one of the largest studies to date on the effects of CNVs on brain structures in the general population. The 22q-ENIGMA WG includes 12 international research centers that assessed over 533 individuals with a confirmed 22q11.2 deletion syndrome, 40 with 22q11.2 duplications, and 333 typically developing controls, creating the largest-ever 22q11.2 CNV neuroimaging data set. In this review, we outline the ENIGMA infrastructure and procedures for multi-site analysis of CNVs and MRI data. So far, ENIGMA has identified effects of the 22q11.2, 16p11.2 distal, 15q11.2, and 1q21.1 distal CNVs on subcortical and cortical brain structures. Each CNV is associated with differences in cognitive, neurodevelopmental and neuropsychiatric traits, with characteristic patterns of brain structural abnormalities. Evidence of gene-dosage effects on distinct brain regions also emerged, providing further insight into genotype-phenotype relationships. Taken together, these results offer a more comprehensive picture of molecular mechanisms involved in typical and atypical brain development. This "genotype-first" approach also contributes to our understanding of the etiopathogenesis of brain disorders. Finally, we outline future directions to better understand effects of CNVs on brain structure and behavior.
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Affiliation(s)
- Ida E. Sønderby
- Department of Medical GeneticsOslo University HospitalOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
| | - Christopher R. K. Ching
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Sophia I. Thomopoulos
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
| | - Daqiang Sun
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and PsychologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
- Department of Mental HealthVeterans Affairs Greater Los Angeles Healthcare System, Los AngelesCaliforniaUSA
| | - Julio E. Villalon‐Reina
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Ingrid Agartz
- NORMENT, Institute of Clinical PsychiatryUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Katrin Amunts
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Cecile and Oskar Vogt Institute for Brain Research, Medical FacultyUniversity Hospital Düsseldorf, Heinrich‐Heine‐University DüsseldorfDüsseldorfGermany
| | - Celso Arango
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañon, IsSGM, Universidad Complutense, School of MedicineMadridSpain
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
| | | | - Rosa Ayesa‐Arriola
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Department of PsychiatryMarqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute (IDIVAL)SantanderSpain
| | - Geor Bakker
- Department of Psychiatry and NeuropsychologyMaastricht UniversityMaastrichtThe Netherlands
- Department of Radiology and Nuclear MedicineVU University Medical CenterAmsterdamThe Netherlands
| | - Anne S. Bassett
- Clinical Genetics Research ProgramCentre for Addiction and Mental HealthTorontoOntarioCanada
- Dalglish Family 22q Clinic for Adults with 22q11.2 Deletion Syndrome, Toronto General HospitalUniversity Health NetworkTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Dorret I. Boomsma
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Public Health (APH) Research InstituteAmsterdam UMCAmsterdamThe Netherlands
| | - Robin Bülow
- Institute of Diagnostic Radiology and NeuroradiologyUniversity Medicine GreifswaldGreifswaldGermany
| | - Nancy J. Butcher
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
- Child Health Evaluative SciencesThe Hospital for Sick Children Research InstituteTorontoOntarioCanada
| | - Vince D. Calhoun
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)Georgia State, Georgia Tech, EmoryAtlantaGeorgiaUSA
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Institute for Anatomy IMedical Faculty & University Hospital Düsseldorf, University of DüsseldorfDüsseldorfGermany
| | - Eva W. C. Chow
- Clinical Genetics Research ProgramCentre for Addiction and Mental HealthTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Sven Cichon
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Institute of Medical Genetics and PathologyUniversity Hospital BaselBaselSwitzerland
- Department of BiomedicineUniversity of BaselBaselSwitzerland
| | - Simone Ciufolini
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Michael C. Craig
- Department of Forensic and Neurodevelopmental SciencesThe Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's CollegeLondonUnited Kingdom
| | | | - Adam C. Cunningham
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical NeurosciencesCardiff UniversityCardiffUnited Kingdom
| | - Anders M. Dale
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
- Department RadiologyUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Paola Dazzan
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Greig I. de Zubicaray
- Faculty of HealthQueensland University of Technology (QUT)BrisbaneQueenslandAustralia
| | - Srdjan Djurovic
- Department of Medical GeneticsOslo University HospitalOsloNorway
- NORMENT, Department of Clinical ScienceUniversity of BergenBergenNorway
| | - Joanne L. Doherty
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical NeurosciencesCardiff UniversityCardiffUnited Kingdom
- Cardiff University Brain Research Imaging Centre (CUBRIC)CardiffUnited Kingdom
| | - Gary Donohoe
- Center for Neuroimaging, Genetics and GenomicsSchool of Psychology, NUI GalwayGalwayIreland
| | - Bogdan Draganski
- LREN, Centre for Research in Neuroscience, Department of NeuroscienceUniversity Hospital Lausanne and University LausanneLausanneSwitzerland
- Neurology DepartmentMax‐Planck Institute for Human Brain and Cognitive SciencesLeipzigGermany
| | - Courtney A. Durdle
- MIND Institute and Department of Psychiatry and Behavioral SciencesUniversity of California DavisDavisCaliforniaUSA
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental NeurosciencesFaculty of Medicine, TU DresdenDresdenGermany
| | - Beverly S. Emanuel
- Department of PediatricsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Thomas Espeseth
- Department of PsychologyUniversity of OsloOsloNorway
- Department of PsychologyBjørknes CollegeOsloNorway
| | - Simon E. Fisher
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics UnitCenter for Genomic Medicine, Massachusetts General HospitalBostonMassachusettsUSA
- Department of Psychiatry, Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - David C. Glahn
- Tommy Fuss Center for Neuropsychiatric Disease ResearchBoston Children's HospitalBostonMassachusettsUSA
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA
| | - Hans J. Grabe
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
- Department of Psychiatry and PsychotherapyUniversity Medicine GreifswaldGreifswaldGermany
| | - Raquel E. Gur
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Youth Suicide Prevention, Intervention and Research CenterChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Boris A. Gutman
- Medical Imaging Research Center, Department of Biomedical EngineeringIllinois Institute of TechnologyChicagoIllinoisUSA
| | - Jan Haavik
- Department of BiomedicineUniversity of BergenBergenNorway
- Division of PsychiatryHaukeland University HospitalBergenNorway
| | - Asta K. Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health SciencesNorwegian University of Science and TechnologyTrondheimNorway
- Department of Radiology and Nuclear MedicineSt. Olavs HospitalTrondheimNorway
| | - Laura A. Hansen
- Department of Psychiatry and Biobehavioral SciencesUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Ryota Hashimoto
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryTokyoJapan
- Department of PsychiatryOsaka University Graduate School of MedicineOsakaJapan
| | - Derrek P. Hibar
- Personalized Healthcare AnalyticsGenentech, Inc.South San FranciscoCaliforniaUSA
| | - Avram J. Holmes
- Department of PsychologyYale UniversityNew HavenConnecticutUSA
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
| | - Jouke‐Jan Hottenga
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Hilleke E. Hulshoff Pol
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | | | - Emma E. M. Knowles
- Department of Psychiatry, Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of PsychiatryBoston Children's HospitalBostonMassachusettsUSA
| | - Leila Kushan
- Semel Institute for Neuroscience and Human BehaviorUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - David E. J. Linden
- School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
- Neuroscience and Mental Health Research InstituteCardiff UniversityCardiffUnited Kingdom
| | - Jingyu Liu
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)Georgia State, Georgia Tech, EmoryAtlantaGeorgiaUSA
- Computer ScienceGeorgia State UniversityAtlantaGeorgiaUSA
| | - Astri J. Lundervold
- Department of Biological and Medical PsychologyUniversity of BergenBergenNorway
| | - Sandra Martin‐Brevet
- LREN, Centre for Research in Neuroscience, Department of NeuroscienceUniversity Hospital Lausanne and University LausanneLausanneSwitzerland
| | - Kenia Martínez
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañon, IsSGM, Universidad Complutense, School of MedicineMadridSpain
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Facultad de PsicologíaUniversidad Autónoma de MadridMadridSpain
| | - Karen A. Mather
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
| | - Samuel R. Mathias
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA
- Department of PsychiatryBoston Children's HospitalBostonMassachusettsUSA
| | - Donna M. McDonald‐McGinn
- Department of PediatricsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Division of Human GeneticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Division of Human Genetics and 22q and You CenterChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Allan F. McRae
- Institute for Molecular BioscienceThe University of QueenslandBrisbaneQueenslandAustralia
| | - Sarah E. Medland
- Psychiatric GeneticsQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Torgeir Moberget
- Department of Psychology, Faculty of Social SciencesUniversity of OsloOsloNorway
| | - Claudia Modenato
- LREN, Centre for Research in Neuroscience, Department of NeuroscienceUniversity Hospital Lausanne and University LausanneLausanneSwitzerland
- University of LausanneLausanneSwitzerland
| | - Jennifer Monereo Sánchez
- School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
- Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
- Department of Radiology and Nuclear MedicineMaastricht University Medical CenterMaastrichtThe Netherlands
| | - Clara A. Moreau
- Sainte Justine Hospital Research CenterUniversity of Montreal, MontrealQCCanada
| | - Thomas W. Mühleisen
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Cecile and Oskar Vogt Institute for Brain Research, Medical FacultyUniversity Hospital Düsseldorf, Heinrich‐Heine‐University DüsseldorfDüsseldorfGermany
- Department of BiomedicineUniversity of BaselBaselSwitzerland
| | - Tomas Paus
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
- Departments of Psychology and PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Zdenka Pausova
- Translational Medicine, The Hospital for Sick ChildrenTorontoOntarioCanada
| | - Carlos Prieto
- Bioinformatics Service, NucleusUniversity of SalamancaSalamancaSpain
| | | | - Céline S. Reinbold
- Department of BiomedicineUniversity of BaselBaselSwitzerland
- Centre for Lifespan Changes in Brain and Cognition, Department of PsychologyUniversity of OsloOsloNorway
| | - Tiago Reis Marques
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences (LMS), Hammersmith HospitalImperial College LondonLondonUnited Kingdom
| | - Gabriela M. Repetto
- Center for Genetics and GenomicsFacultad de Medicina, Clinica Alemana Universidad del DesarrolloSantiagoChile
| | - Alexandre Reymond
- Center for Integrative GenomicsUniversity of LausanneLausanneSwitzerland
| | - David R. Roalf
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - James J. Rucker
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Neuropsychiatric InstituteThe Prince of Wales HospitalSydneyNew South WalesAustralia
| | - James E. Schmitt
- Department of Radiology and PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Peter R. Schofield
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of Medical SciencesUNSW SydneySydneyNew South WalesAustralia
| | - Ana I. Silva
- Neuroscience and Mental Health Research InstituteCardiff UniversityCardiffUnited Kingdom
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
| | | | - Dan J. Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | - Diana Tordesillas‐Gutiérrez
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Neuroimaging Unit, Technological FacilitiesValdecilla Biomedical Research Institute (IDIVAL), SantanderSpain
| | - Magnus O. Ulfarsson
- Population Genomics, deCODE genetics/AmgenReykjavikIceland
- Faculty of Electrical and Computer EngineeringUniversity of Iceland, ReykjavikIceland
| | - Ariana Vajdi
- Semel Institute for Neuroscience and Human BehaviorUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Dennis van 't Ent
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Marianne B. M. van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical NeurosciencesCardiff UniversityCardiffUnited Kingdom
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUnited Kingdom
| | - Javier Vázquez‐Bourgon
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Department of PsychiatryMarqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute (IDIVAL)SantanderSpain
- School of MedicineUniversity of CantabriaSantanderSpain
| | - Fidel Vila‐Rodriguez
- Department of PsychiatryThe University of British ColumbiaVancouverBritish ColumbiaCanada
| | - G. Bragi Walters
- Population Genomics, deCODE genetics/AmgenReykjavikIceland
- Faculty of MedicineUniversity of IcelandReykjavikIceland
| | - Wei Wen
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Lars T. Westlye
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
- NORMENT, Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
- Department of Psychiatry and PsychotherapyUniversity Medicine GreifswaldGreifswaldGermany
| | - Elaine H. Zackai
- Department of PediatricsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Division of Human GeneticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Kári Stefánsson
- Population Genomics, deCODE genetics/AmgenReykjavikIceland
- Faculty of MedicineUniversity of IcelandReykjavikIceland
| | - Sebastien Jacquemont
- Sainte Justine Hospital Research CenterUniversity of Montreal, MontrealQCCanada
- Department of PediatricsUniversity of Montreal, MontrealQCCanada
| | - Paul M. Thompson
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Carrie E. Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and PsychologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
- Center for Neurobehavioral GeneticsUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
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5
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O'Callaghan E, Sánchez JM, Rabaglino MB, McDonald M, Liu H, Spencer TE, Fair S, Kenny DA, Lonergan P. 118 Influence of sire fertility status on conceptus-induced transcriptomic response of the bovine endometrium. Reprod Fertil Dev 2021; 34:296. [PMID: 35231255 DOI: 10.1071/rdv34n2ab118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- E O'Callaghan
- University College Dublin, Belfield, Dublin, Ireland
| | - J M Sánchez
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Madrid, Spain
| | - M B Rabaglino
- University College Dublin, Belfield, Dublin, Ireland
| | - M McDonald
- University College Dublin, Belfield, Dublin, Ireland
| | - H Liu
- University of Missouri, Division of Animal Sciences, Columbia, MO, USA
| | - T E Spencer
- University of Missouri, Division of Animal Sciences, Columbia, MO, USA
| | - S Fair
- University of Limerick, Laboratory of Animal Reproduction, School of Natural Sciences, Biomaterials Research Cluster, Bernal Institute, Faculty of Science and Engineering, Limerick, Ireland
| | - D A Kenny
- Teagasc, Animal and Grassland Research and Innovation Centre, Grange, Dunsany, Meath, Ireland
| | - P Lonergan
- University College Dublin, Belfield, Dublin, Ireland
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6
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Crowe AD, Sánchez JM, Moore SG, McDonald M, Rodrigues R, Morales MF, Orsi de Freitas L, Randi F, Lonergan P, Butler ST. 78 Fertility in lactating dairy cows following timed artificial insemination or timed embryo transfer with fresh or frozen in vitro-produced embryos. Reprod Fertil Dev 2021; 34:275. [PMID: 35231206 DOI: 10.1071/rdv34n2ab78] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- A D Crowe
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland
| | - J M Sánchez
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - S G Moore
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland
| | - M McDonald
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | | | | | | | - F Randi
- CEVA Santé Animale, Libourne, Bordeaux, France
| | - P Lonergan
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - S T Butler
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland
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7
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Sønderby IE, van der Meer D, Moreau C, Kaufmann T, Walters GB, Ellegaard M, Abdellaoui A, Ames D, Amunts K, Andersson M, Armstrong NJ, Bernard M, Blackburn NB, Blangero J, Boomsma DI, Brodaty H, Brouwer RM, Bülow R, Bøen R, Cahn W, Calhoun VD, Caspers S, Ching CRK, Cichon S, Ciufolini S, Crespo-Facorro B, Curran JE, Dale AM, Dalvie S, Dazzan P, de Geus EJC, de Zubicaray GI, de Zwarte SMC, Desrivieres S, Doherty JL, Donohoe G, Draganski B, Ehrlich S, Eising E, Espeseth T, Fejgin K, Fisher SE, Fladby T, Frei O, Frouin V, Fukunaga M, Gareau T, Ge T, Glahn DC, Grabe HJ, Groenewold NA, Gústafsson Ó, Haavik J, Haberg AK, Hall J, Hashimoto R, Hehir-Kwa JY, Hibar DP, Hillegers MHJ, Hoffmann P, Holleran L, Holmes AJ, Homuth G, Hottenga JJ, Hulshoff Pol HE, Ikeda M, Jahanshad N, Jockwitz C, Johansson S, Jönsson EG, Jørgensen NR, Kikuchi M, Knowles EEM, Kumar K, Le Hellard S, Leu C, Linden DEJ, Liu J, Lundervold A, Lundervold AJ, Maillard AM, Martin NG, Martin-Brevet S, Mather KA, Mathias SR, McMahon KL, McRae AF, Medland SE, Meyer-Lindenberg A, Moberget T, Modenato C, Sánchez JM, Morris DW, Mühleisen TW, Murray RM, Nielsen J, Nordvik JE, Nyberg L, Loohuis LMO, Ophoff RA, Owen MJ, Paus T, Pausova Z, Peralta JM, Pike GB, Prieto C, Quinlan EB, Reinbold CS, Marques TR, Rucker JJH, Sachdev PS, Sando SB, Schofield PR, Schork AJ, Schumann G, Shin J, Shumskaya E, Silva AI, Sisodiya SM, Steen VM, Stein DJ, Strike LT, Suzuki IK, Tamnes CK, Teumer A, Thalamuthu A, Tordesillas-Gutiérrez D, Uhlmann A, Ulfarsson MO, van 't Ent D, van den Bree MBM, Vanderhaeghen P, Vassos E, Wen W, Wittfeld K, Wright MJ, Agartz I, Djurovic S, Westlye LT, Stefansson H, Stefansson K, Jacquemont S, Thompson PM, Andreassen OA. 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans. Transl Psychiatry 2021; 11:182. [PMID: 33753722 PMCID: PMC7985307 DOI: 10.1038/s41398-021-01213-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 12/23/2020] [Accepted: 01/08/2021] [Indexed: 01/07/2023] Open
Abstract
Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders, including schizophrenia, autism and intellectual disability. Human carriers display a high prevalence of micro- and macrocephaly in deletion and duplication carriers, respectively. The underlying brain structural diversity remains largely unknown. We systematically called CNVs in 38 cohorts from the large-scale ENIGMA-CNV collaboration and the UK Biobank and identified 28 1q21.1 distal deletion and 22 duplication carriers and 37,088 non-carriers (48% male) derived from 15 distinct magnetic resonance imaging scanner sites. With standardized methods, we compared subcortical and cortical brain measures (all) and cognitive performance (UK Biobank only) between carrier groups also testing for mediation of brain structure on cognition. We identified positive dosage effects of copy number on intracranial volume (ICV) and total cortical surface area, with the largest effects in frontal and cingulate cortices, and negative dosage effects on caudate and hippocampal volumes. The carriers displayed distinct cognitive deficit profiles in cognitive tasks from the UK Biobank with intermediate decreases in duplication carriers and somewhat larger in deletion carriers-the latter potentially mediated by ICV or cortical surface area. These results shed light on pathobiological mechanisms of neurodevelopmental disorders, by demonstrating gene dose effect on specific brain structures and effect on cognitive function.
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Affiliation(s)
- Ida E Sønderby
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway.
| | - Dennis van der Meer
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Clara Moreau
- Sainte Justine Hospital Research Center, Montreal, Quebec, Canada
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montreal, Quebec, Canada
| | - Tobias Kaufmann
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - G Bragi Walters
- deCODE Genetics (Amgen), Reykjavík, Iceland
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Maria Ellegaard
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Abdel Abdellaoui
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Department of Biological Psychology and Netherlands Twin Register, VU University Amsterdam, Amsterdam, the Netherlands
| | - David Ames
- University of Melbourne Academic Unit for Psychiatry of Old Age, Kew, Australia
- National Ageing Research Institute, Parkville, Australia
| | - Katrin Amunts
- Institute of Neuroscience and Medicine, INM-1, Research Centre Jülich, Jülich, Germany
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University Hospital Düsseldorf, Heinrich Heine University Duesseldorf, Düsseldorf, Germany
| | - Micael Andersson
- Umeå Centre for Functional Brain Imaging, Umeå University, Umeå, Sweden
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | | | - Manon Bernard
- Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Nicholas B Blackburn
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, USA
| | - Dorret I Boomsma
- Department of Biological Psychology and Netherlands Twin Register, VU University Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Dementia Centre for Research Collaboration, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Rachel M Brouwer
- Department of Psychiatry, University Medical Center Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Rune Bøen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Wiepke Cahn
- Department of Psychiatry, University Medical Center Brain Center, Utrecht University, Utrecht, the Netherlands
- Altrecht Science, Utrecht, the Netherlands
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, USA
- The Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, USA
| | - Svenja Caspers
- Institute of Neuroscience and Medicine, INM-1, Research Centre Jülich, Jülich, Germany
- Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, USA
| | - Sven Cichon
- Institute of Neuroscience and Medicine, INM-1, Research Centre Jülich, Jülich, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Simone Ciufolini
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Benedicto Crespo-Facorro
- University Hospital Marqués de Valdecilla, IDIVAL, Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), Santander, Spain
- University Hospital Virgen del Rocío, IBiS, Centre de Investigació Biomédica en Red Salud Mental (CIBERSAM), Sevilla, Spain
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, USA
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, USA
| | - Shareefa Dalvie
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, Western Cape, South Africa
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Eco J C de Geus
- Department of Biological Psychology and Netherlands Twin Register, VU University Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | | | - Sonja M C de Zwarte
- Department of Psychiatry, University Medical Center Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Sylvane Desrivieres
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Joanne L Doherty
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Cardiff University Brain Research Imaging Centre School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Gary Donohoe
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Else Eising
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Thomas Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway
- Bjørknes College, Oslo, Norway
| | - Kim Fejgin
- Signal Transduction, H. Lundbeck A/S, Ottiliavej 9, DK-2500, Valby, Denmark
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, 1474, Nordbyhagen, Norway
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - Oleksandr Frei
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Vincent Frouin
- Université Paris-Saclay, CEA, Neurospin, 91191, Gif-sur-Yvette, France
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Okazaki, Japan
- Department of Life Science, Sokendai, Hayama, Japan
| | - Thomas Gareau
- Université Paris-Saclay, CEA, Neurospin, 91191, Gif-sur-Yvette, France
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - David C Glahn
- Boston Children's Hospital, Boston, Massachusetts, USA
- Institute of Living, Hartford, Connecticut, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Greifswald, Germany
| | - Nynke A Groenewold
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, Western Cape, South Africa
| | | | - Jan Haavik
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Asta K Haberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- St Olav's Hospital, Department of Radiology and Nuclear Medicine, Trondheim, Norway
| | - Jeremy Hall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
- Osaka University, Osaka, Japan
| | - Jayne Y Hehir-Kwa
- Princess Màxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | | | - Manon H J Hillegers
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia, Rotterdam, the Netherlands
| | - Per Hoffmann
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn Medical School, Bonn, Germany
| | - Laurena Holleran
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| | - Avram J Holmes
- Psychology Department, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Jouke-Jan Hottenga
- Department of Biological Psychology and Netherlands Twin Register, VU University Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Hilleke E Hulshoff Pol
- Department of Psychiatry, University Medical Center Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, USA
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine, INM-1, Research Centre Jülich, Jülich, Germany
- Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stefan Johansson
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Erik G Jönsson
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Niklas R Jørgensen
- Department of Clinical Biochemistry, Copenhagen University Hospital Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Emma E M Knowles
- Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Kuldeep Kumar
- Sainte Justine Hospital Research Center, Montreal, Quebec, Canada
| | - Stephanie Le Hellard
- Norwegian Centre for Mental Disorders Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Costin Leu
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States
- Chalfont Centre for Epilepsy, Chalfont-St-Peter, United Kingdom
| | - David E J Linden
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Jingyu Liu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, USA
| | - Arvid Lundervold
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | | | - Anne M Maillard
- Service des Troubles du Spectre de l'Autisme et apparentés, Lausanne University Hospital, Lausanne, Switzerland
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Sandra Martin-Brevet
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Randwick, Australia
| | - Samuel R Mathias
- Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Katie L McMahon
- Herston Imaging Research Facility and School of Clinical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Allan F McRae
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Torgeir Moberget
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Claudia Modenato
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- University of Lausanne, Lausanne, Switzerland
| | - Jennifer Monereo Sánchez
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Derek W Morris
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| | - Thomas W Mühleisen
- Institute of Neuroscience and Medicine, INM-1, Research Centre Jülich, Jülich, Germany
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University Hospital Düsseldorf, Heinrich Heine University Duesseldorf, Düsseldorf, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Robin M Murray
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Jacob Nielsen
- Signal Transduction, H. Lundbeck A/S, Ottiliavej 9, DK-2500, Valby, Denmark
| | | | - Lars Nyberg
- Umeå Centre for Functional Brain Imaging, Umeå University, Umeå, Sweden
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, University of California, Los Angeles, USA
| | - Roel A Ophoff
- Center for Neurobehavioral Genetics, University of California, Los Angeles, USA
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Tomas Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Zdenka Pausova
- Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada
- Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Juan M Peralta
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, USA
| | - G Bruce Pike
- Departments of Radiology and Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Carlos Prieto
- Bioinformatics Service, Nucleus, University of Salamanca, Salamanca, Spain
| | - Erin B Quinlan
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Céline S Reinbold
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Tiago Reis Marques
- Department of Psychosis, Institute of Psychiatry, Psychology & Neuroscience, Kings College, London, United Kingdom
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences (LMS), Hammersmith Hospital, Imperial College, London, United Kingdom
| | - James J H Rucker
- Institute of Psychiatry, Psychology and Neuroscience, London, London, United Kingdom
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, Australia
| | - Sigrid B Sando
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- University Hospital of Trondheim,Department of Neurology and Clinical Neurophysiology, Trondheim, Norway
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Andrew J Schork
- Institute of Biological Psychiatry, Roskilde, Denmark
- The Translational Genetics Institute (TGEN), Phoenix, AZ, United States
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Jean Shin
- Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada
- Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Elena Shumskaya
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ana I Silva
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Cardiff University Brain Research Imaging Centre School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Chalfont Centre for Epilepsy, Chalfont-St-Peter, United Kingdom
| | - Vidar M Steen
- Norwegian Centre for Mental Disorders Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Dan J Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Lachlan T Strike
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Ikuo K Suzuki
- VIB Center for Brain & Disease Research, Stem Cell and Developmental Neurobiology Lab, Leuven, Belgium
- University of Brussels (ULB), Institute of Interdisciplinary Research (IRIBHM) ULB Neuroscience Institute, Brussels, Belgium
- The University of Tokyo, Department of Biological Sciences, Graduate School of Science, Tokyo, Japan
| | - Christian K Tamnes
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Diana Tordesillas-Gutiérrez
- University Hospital Marqués de Valdecilla, IDIVAL, Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), Santander, Spain
- Department of Radiology, Marqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
| | - Anne Uhlmann
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, Western Cape, South Africa
| | - Magnus O Ulfarsson
- deCODE Genetics (Amgen), Reykjavík, Iceland
- Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavík, Iceland
| | - Dennis van 't Ent
- Department of Biological Psychology and Netherlands Twin Register, VU University Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Marianne B M van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Pierre Vanderhaeghen
- VIB-KU Leuven Center for Brain & Disease Research, 3000, Leuven, Belgium
- KU Leuven, Department of Neurosciences & Leuven Brain Institute, 3000, Leuven, Belgium
- Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070, Brussels, Belgium
| | - Evangelos Vassos
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research, Mental Health Biomedical Research Centre, South London and Maudsley National Health Service Foundation Trust and King's College London, London, United Kingdom
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Greifswald, Germany
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | - Ingrid Agartz
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | | | - Kari Stefansson
- deCODE Genetics (Amgen), Reykjavík, Iceland
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Sébastien Jacquemont
- Sainte Justine Hospital Research Center, Montreal, Quebec, Canada
- Department of Pediatrics, University of Montreal, Montreal, Quebec, Canada
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, USA
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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8
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Ulrichsen KM, Kolskår KK, Richard G, Alnæs D, Dørum ES, Sanders AM, Tornås S, Sánchez JM, Engvig A, Ihle-Hansen H, de Schotten MT, Nordvik JE, Westlye LT. Structural brain disconnectivity mapping of post-stroke fatigue. Neuroimage Clin 2021; 30:102635. [PMID: 33799271 PMCID: PMC8044723 DOI: 10.1016/j.nicl.2021.102635] [Citation(s) in RCA: 12] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 02/15/2021] [Accepted: 03/15/2021] [Indexed: 01/04/2023]
Abstract
We tested for associations between post stroke fatigue (PSF) and both lesion characteristics and brain structural disconnectome in 84 S patients. Results provided no evidence supporting a simple association between PSF severity and lesion characteristics or disconnectivity. PSF was strongly correlated with depression. Further studies including patients with more severe symptoms are needed to generalize the findings across a wider clinical spectrum.
Stroke patients commonly suffer from post stroke fatigue (PSF). Despite a general consensus that brain perturbations constitute a precipitating event in the multifactorial etiology of PSF, the specific predictive value of conventional lesion characteristics such as size and localization remains unclear. The current study represents a novel approach to assess the neural correlates of PSF in chronic stroke patients. While previous research has focused primarily on lesion location or size, with mixed or inconclusive results, we targeted the extended structural network implicated by the lesion, and evaluated the added explanatory value of a structural disconnectivity approach with regards to the brain correlates of PSF. To this end, we estimated individual structural brain disconnectome maps in 84 S survivors in the chronic phase (≥3 months post stroke) using information about lesion location and normative white matter pathways obtained from 170 healthy individuals. PSF was measured by the Fatigue Severity Scale (FSS). Voxel wise analyses using non-parametric permutation-based inference were conducted on disconnectome maps to estimate regional effects of disconnectivity. Associations between PSF and global disconnectivity and clinical lesion characteristics were tested by linear models, and we estimated Bayes factor to quantify the evidence for the null and alternative hypotheses, respectively. The results revealed no significant associations between PSF and disconnectome measures or lesion characteristics, with moderate evidence in favor of the null hypothesis. These results suggest that symptoms of post-stroke fatigue among chronic stroke patients are not simply explained by lesion characteristics or the extent and distribution of structural brain disconnectome, and are discussed in light of methodological considerations.
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Affiliation(s)
- Kristine M Ulrichsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway.
| | - Knut K Kolskår
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Geneviève Richard
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Bjørknes College, Oslo, Norway
| | - Erlend S Dørum
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Anne-Marthe Sanders
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | | | - Jennifer Monereo Sánchez
- Faculty of Health, Medicine and Life Sciences, Maastricht University, Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Netherlands
| | - Andreas Engvig
- Department of Nephrology, Oslo University Hospital, Ullevål, Norway
| | | | - Michel Thiebaut de Schotten
- Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France; Groupe d'Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives- UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France
| | | | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Norway.
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9
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O'Callaghan E, Sánchez JM, McDonald M, Kelly AK, Hamdi M, Maicas C, Fair S, Kenny DA, Lonergan P. Sire contribution to fertilization failure and early embryo survival in cattle. J Dairy Sci 2021; 104:7262-7271. [PMID: 33714587 DOI: 10.3168/jds.2020-19900] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 01/28/2021] [Indexed: 12/21/2022]
Abstract
Despite passing routine laboratory tests of semen quality, bulls used in artificial insemination (AI) exhibit a significant range in field fertility. The objective of this study was to determine whether subfertility in AI bulls is due to issues of sperm transport to the site of fertilization, fertilization failure, or failure of early embryo or conceptus development. In experiment 1, Holstein-Friesian bulls (3 high fertility, HF, and 3 low fertility, LF) were selected from the national population of AI bulls based on adjusted fertility scores from a minimum of 500 inseminations (HF: +4.37% and LF: -12.7%; mean = 0%). Superovulated beef heifers were blocked based on estimated number of follicles at the time of AI and inseminated with semen from HF or LF bulls (n = 3-4 heifers per bull; total 19 heifers). Following slaughter 7 d later, the number of corpora lutea was counted and the uteri were flushed. Recovered structures (oocytes/embryos) were classified according to developmental stage and stained with 4',6-diamidino-2-phenylindole to assess number of cells and accessory sperm. Overall recovery rate (total structures recovered/total corpora lutea) was 52.6% and was not different between groups. Mean (± standard error of the mean) number of embryos recovered per recipient was 8.7 ± 5.2 and 9.4 ± 5.5 for HF and LF, respectively. Overall fertilization rate of recovered structures was not different between groups. However, more embryos were at advanced stages of development (all blastocyst stages combined), reflected in a greater mean embryo cell number on d 7 for HF versus LF bulls. Number of accessory sperm was greater for embryos derived from HF than for LF bulls. The aim of experiment 2 was to evaluate the effect of sire fertility on survival of bovine embryos to d 15. Day 7 blastocysts were produced in vitro using semen from the same HF (n = 3) and LF (n = 3) bulls and transferred in groups of 5-10 to synchronized heifers (n = 7 heifers per bull; total 42 heifers). Conceptus recovery rate on d 15 was higher in HF (59.4%,) versus LF (45.0%). Mean length of recovered conceptuses for HF bulls was not affected by fertility status. In conclusion, while differences in field fertility among AI sires used in this study were not reflected in fertilization rate, differences in embryo quality were apparent as early as d 7. These differences likely contributed to the higher proportion of conceptuses surviving to d 15 in HF bulls.
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Affiliation(s)
- E O'Callaghan
- School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland D04 N2E5
| | - J M Sánchez
- School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland D04 N2E5
| | - M McDonald
- School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland D04 N2E5
| | - A K Kelly
- School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland D04 N2E5
| | - M Hamdi
- School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland D04 N2E5
| | - C Maicas
- School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland D04 N2E5
| | - S Fair
- Laboratory of Animal Reproduction, Department of Biological Sciences, Biomaterials Research Cluster, Bernal Institute, Faculty of Science and Engineering, University of Limerick, Limerick, Ireland V94 PT85
| | - D A Kenny
- Animal and Bioscience Research Department, Animal and Grassland Research and Innovation Centre, Teagasc, Meath, Ireland C15 PW93
| | - P Lonergan
- School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland D04 N2E5.
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Kolskår KK, Richard G, Alnæs D, Dørum ES, Sanders A, Ulrichsen KM, Sánchez JM, Ihle‐Hansen H, Nordvik JE, Westlye LT. Reliability, sensitivity, and predictive value of fMRI during multiple object tracking as a marker of cognitive training gain in combination with tDCS in stroke survivors. Hum Brain Mapp 2021; 42:1167-1181. [PMID: 33216408 PMCID: PMC7856645 DOI: 10.1002/hbm.25284] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 06/22/2020] [Revised: 10/21/2020] [Accepted: 10/27/2020] [Indexed: 11/23/2022] Open
Abstract
Computerized cognitive training (CCT) combined with transcranial direct current stimulation (tDCS) has showed some promise in alleviating cognitive impairments in patients with brain disorders, but the robustness and possible mechanisms are unclear. In this prospective double-blind randomized clinical trial, we investigated the feasibility and effectiveness of combining CCT and tDCS, and tested the predictive value of and training-related changes in fMRI-based brain activation during attentive performance (multiple object tracking) obtained at inclusion, before initiating training, and after the three-weeks intervention in chronic stroke patients (>6 months since hospital admission). Patients were randomized to one of two groups, receiving CCT and either (a) tDCS targeting left dorsolateral prefrontal cortex (1 mA), or (b) sham tDCS, with 40s active stimulation (1 mA) before fade out of the current. Of note, 77 patients were enrolled in the study, 54 completed the cognitive training, and 48 completed all training and MRI sessions. We found significant improvement in performance across all trained tasks, but no additional gain of tDCS. fMRI-based brain activation showed high reliability, and higher cognitive performance was associated with increased tracking-related activation in the dorsal attention network and default mode network as well as anterior cingulate after compared to before the intervention. We found no significant associations between cognitive gain and brain activation measured before training or in the difference in activation after intervention. Combined, these results show significant training effects on trained cognitive tasks in stroke survivors, with no clear evidence of additional gain of concurrent tDCS.
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Affiliation(s)
- Knut K. Kolskår
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
- Sunnaas Rehabilitation Hospital HTNesoddenNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Geneviève Richard
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
- Sunnaas Rehabilitation Hospital HTNesoddenNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Dag Alnæs
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
- Bjørknes collegeOsloNorway
| | - Erlend S. Dørum
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
- Sunnaas Rehabilitation Hospital HTNesoddenNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Anne‐Marthe Sanders
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
- Sunnaas Rehabilitation Hospital HTNesoddenNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Kristine M. Ulrichsen
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
- Sunnaas Rehabilitation Hospital HTNesoddenNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Jennifer Monereo Sánchez
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
| | - Hege Ihle‐Hansen
- Department of Geriatric MedicineOslo University HospitalOsloNorway
| | | | - Lars T. Westlye
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of OsloOsloNorway
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11
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Lonergan P, Sánchez JM. Symposium review: Progesterone effects on early embryo development in cattle. J Dairy Sci 2020; 103:8698-8707. [PMID: 32622590 DOI: 10.3168/jds.2020-18583] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [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: 03/24/2020] [Accepted: 04/29/2020] [Indexed: 12/14/2022]
Abstract
The causes of low fertility in dairy cattle are complex and multifactorial and may be due to compromised follicle development affecting oocyte quality, a suboptimal reproductive tract environment incapable of supporting normal embryo development, or a combination of both. Progesterone (P4) plays a key role in reproductive events associated with establishment and maintenance of pregnancy, through its effects on oocyte quality and its action on the uterine endometrium. Reduced P4 concentrations during growth of the ovulatory follicle are associated with lower fertility, and low concentrations of circulating P4 after ovulation have been associated with reductions in conceptus growth and elongation, decreased interferon-τ (IFNT) production, and lower pregnancy rates in cattle. In contrast, elevated concentrations of circulating P4 in the period immediately following conception have been associated with advancement of conceptus elongation, increased IFNT production, and, in some cases, higher pregnancy rates in cattle. Despite the potential beneficial effects of exogenous P4 supplementation on fertility, results of supplementation studies have been inconsistent. As part of the 2019 ADSA Reproduction Symposium, focusing on the etiology of pregnancy losses in dairy cattle, the aim of this review is to highlight recent findings from our group and others in relation to embryo-maternal interaction during bovine pregnancy establishment and the role of P4 in uterine biology and embryo development.
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Affiliation(s)
- P Lonergan
- School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland.
| | - J M Sánchez
- School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland
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12
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van der Meer D, Frei O, Kaufmann T, Chen CH, Thompson WK, O'Connell KS, Monereo Sánchez J, Linden DEJ, Westlye LT, Dale AM, Andreassen OA. Quantifying the Polygenic Architecture of the Human Cerebral Cortex: Extensive Genetic Overlap between Cortical Thickness and Surface Area. Cereb Cortex 2020; 30:5597-5603. [PMID: 32483632 PMCID: PMC7472200 DOI: 10.1093/cercor/bhaa146] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 04/20/2020] [Accepted: 05/10/2020] [Indexed: 12/13/2022] Open
Abstract
The thickness of the cerebral cortical sheet and its surface area are highly heritable traits thought to have largely distinct polygenic architectures. Despite large-scale efforts, the majority of their genetic determinants remain unknown. Our ability to identify causal genetic variants can be improved by employing brain measures that better map onto the biology we seek to understand. Such measures may have fewer variants but with larger effects, that is, lower polygenicity and higher discoverability. Using Gaussian mixture modeling, we estimated the number of causal variants shared between mean cortical thickness and total surface area, as well as the polygenicity and discoverability of regional measures. We made use of UK Biobank data from 30 880 healthy White European individuals (mean age 64.3, standard deviation 7.5, 52.1% female). We found large genetic overlap between total surface area and mean thickness, sharing 4016 out of 7941 causal variants. Regional surface area was more discoverable (P = 2.6 × 10−6) and less polygenic (P = 0.004) than regional thickness measures. These findings may serve as a roadmap for improved future GWAS studies; knowledge of which measures are most discoverable may be used to boost identification of genetic predictors and thereby gain a better understanding of brain morphology.
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Affiliation(s)
- Dennis van der Meer
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Oleksandr Frei
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tobias Kaufmann
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Chi-Hua Chen
- Center for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, CA 92037, USA
| | - Wesley K Thompson
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Family Medicine and Public Health, University of California at San Diego, La Jolla, CA 92037, USA
| | - Kevin S O'Connell
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jennifer Monereo Sánchez
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - David E J Linden
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, CA 92037, USA
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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13
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van der Meer D, Rokicki J, Kaufmann T, Córdova-Palomera A, Moberget T, Alnæs D, Bettella F, Frei O, Doan NT, Sønderby IE, Smeland OB, Agartz I, Bertolino A, Bralten J, Brandt CL, Buitelaar JK, Djurovic S, van Donkelaar M, Dørum ES, Espeseth T, Faraone SV, Fernández G, Fisher SE, Franke B, Haatveit B, Hartman CA, Hoekstra PJ, Håberg AK, Jönsson EG, Kolskår KK, Le Hellard S, Lund MJ, Lundervold AJ, Lundervold A, Melle I, Monereo Sánchez J, Norbom LC, Nordvik JE, Nyberg L, Oosterlaan J, Papalino M, Papassotiropoulos A, Pergola G, de Quervain DJF, Richard G, Sanders AM, Selvaggi P, Shumskaya E, Steen VM, Tønnesen S, Ulrichsen KM, Zwiers MP, Andreassen OA, Westlye LT. Brain scans from 21,297 individuals reveal the genetic architecture of hippocampal subfield volumes. Mol Psychiatry 2020; 25:3053-3065. [PMID: 30279459 PMCID: PMC6445783 DOI: 10.1038/s41380-018-0262-7] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 08/09/2018] [Accepted: 09/06/2018] [Indexed: 11/09/2022]
Abstract
The hippocampus is a heterogeneous structure, comprising histologically distinguishable subfields. These subfields are differentially involved in memory consolidation, spatial navigation and pattern separation, complex functions often impaired in individuals with brain disorders characterized by reduced hippocampal volume, including Alzheimer's disease (AD) and schizophrenia. Given the structural and functional heterogeneity of the hippocampal formation, we sought to characterize the subfields' genetic architecture. T1-weighted brain scans (n = 21,297, 16 cohorts) were processed with the hippocampal subfields algorithm in FreeSurfer v6.0. We ran a genome-wide association analysis on each subfield, co-varying for whole hippocampal volume. We further calculated the single-nucleotide polymorphism (SNP)-based heritability of 12 subfields, as well as their genetic correlation with each other, with other structural brain features and with AD and schizophrenia. All outcome measures were corrected for age, sex and intracranial volume. We found 15 unique genome-wide significant loci across six subfields, of which eight had not been previously linked to the hippocampus. Top SNPs were mapped to genes associated with neuronal differentiation, locomotor behaviour, schizophrenia and AD. The volumes of all the subfields were estimated to be heritable (h2 from 0.14 to 0.27, all p < 1 × 10-16) and clustered together based on their genetic correlations compared with other structural brain features. There was also evidence of genetic overlap of subicular subfield volumes with schizophrenia. We conclude that hippocampal subfields have partly distinct genetic determinants associated with specific biological processes and traits. Taking into account this specificity may increase our understanding of hippocampal neurobiology and associated pathologies.
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Affiliation(s)
- Dennis van der Meer
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Jaroslav Rokicki
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Psychology, University of Oslo, Oslo, Norway
| | - Tobias Kaufmann
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Aldo Córdova-Palomera
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.168010.e0000000419368956Department of Pediatrics, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - Torgeir Moberget
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dag Alnæs
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Francesco Bettella
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Oleksandr Frei
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nhat Trung Doan
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ida E. Sønderby
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Olav B. Smeland
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alessandro Bertolino
- grid.7644.10000 0001 0120 3326Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy ,Azienda Ospedaliero-Universitaria Consorziale Policlinico, Bari, Italy
| | - Janita Bralten
- grid.10417.330000 0004 0444 9382Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands ,grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Christine L. Brandt
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jan K. Buitelaar
- grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Srdjan Djurovic
- grid.55325.340000 0004 0389 8485Department of Medical Genetics, Oslo University Hospital, Oslo, Norway ,grid.7914.b0000 0004 1936 7443NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Marjolein van Donkelaar
- grid.10417.330000 0004 0444 9382Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands ,grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Erlend S. Dørum
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Psychology, University of Oslo, Oslo, Norway ,grid.416731.60000 0004 0612 1014Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Thomas Espeseth
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Psychology, University of Oslo, Oslo, Norway
| | - Stephen V. Faraone
- grid.411023.50000 0000 9159 4457Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY USA
| | - Guillén Fernández
- grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Simon E. Fisher
- grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands ,grid.419550.c0000 0004 0501 3839Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Barbara Franke
- grid.10417.330000 0004 0444 9382Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands ,grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Beathe Haatveit
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Psychology, University of Oslo, Oslo, Norway
| | - Catharina A. Hartman
- grid.4494.d0000 0000 9558 4598University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation, Groningen, The Netherlands
| | - Pieter J. Hoekstra
- grid.4494.d0000 0000 9558 4598University of Groningen, University Medical Center Groningen, Department of Child and Adolescent Psychiatry, Groningen, Netherlands
| | - Asta K. Håberg
- grid.5947.f0000 0001 1516 2393Department of Neuromedicine and Movement Science, NTNU – Norwegian University of Science and Technology, Trondheim, Norway ,grid.52522.320000 0004 0627 3560Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim, Norway
| | - Erik G. Jönsson
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.4714.60000 0004 1937 0626Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Knut K. Kolskår
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Psychology, University of Oslo, Oslo, Norway ,grid.416731.60000 0004 0612 1014Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Stephanie Le Hellard
- grid.7914.b0000 0004 1936 7443NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway ,grid.412008.f0000 0000 9753 1393Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Martina J. Lund
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Astri J. Lundervold
- grid.7914.b0000 0004 1936 7443Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Arvid Lundervold
- grid.7914.b0000 0004 1936 7443Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Ingrid Melle
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jennifer Monereo Sánchez
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Linn C. Norbom
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Psychology, University of Oslo, Oslo, Norway
| | - Jan E. Nordvik
- grid.416731.60000 0004 0612 1014Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Lars Nyberg
- grid.12650.300000 0001 1034 3451Departments of Radiation Sciences and Integrative Medical Biology, Umeå Center for Functional Brain Imaging (UFB), Umeå University, Umeå, Sweden
| | - Jaap Oosterlaan
- Amsterdam UMC, University of Amsterdam & Vrije Universiteit Amsterdam, Emma Neuroscience Group at Emma Children’s Hospital, department of Pediatrics, Amsterdam Reproduction & Development, Amsterdam, The Netherlands
| | - Marco Papalino
- grid.7644.10000 0001 0120 3326Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Andreas Papassotiropoulos
- grid.6612.30000 0004 1937 0642Division of Molecular Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland ,grid.6612.30000 0004 1937 0642Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland ,grid.6612.30000 0004 1937 0642Life Sciences Training Facility, Department Biozentrum, University of Basel, Basel, Switzerland
| | - Giulio Pergola
- grid.7644.10000 0001 0120 3326Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Dominique J. F. de Quervain
- grid.6612.30000 0004 1937 0642Division of Cognitive Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland
| | - Geneviève Richard
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Psychology, University of Oslo, Oslo, Norway ,grid.416731.60000 0004 0612 1014Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Anne-Marthe Sanders
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Psychology, University of Oslo, Oslo, Norway ,grid.416731.60000 0004 0612 1014Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Pierluigi Selvaggi
- grid.7644.10000 0001 0120 3326Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy ,grid.13097.3c0000 0001 2322 6764Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Elena Shumskaya
- grid.10417.330000 0004 0444 9382Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands ,grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Vidar M. Steen
- grid.7914.b0000 0004 1936 7443NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway ,grid.412008.f0000 0000 9753 1393Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Siren Tønnesen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kristine M. Ulrichsen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Psychology, University of Oslo, Oslo, Norway ,grid.416731.60000 0004 0612 1014Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Marcel P. Zwiers
- grid.5590.90000000122931605Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Ole A. Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T. Westlye
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Psychology, University of Oslo, Oslo, Norway
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Richard G, Kolskår K, Ulrichsen KM, Kaufmann T, Alnæs D, Sanders AM, Dørum ES, Monereo Sánchez J, Petersen A, Ihle-Hansen H, Nordvik JE, Westlye LT. Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive training. Neuroimage Clin 2019; 25:102159. [PMID: 31927499 PMCID: PMC6953960 DOI: 10.1016/j.nicl.2019.102159] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [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: 07/02/2019] [Revised: 12/11/2019] [Accepted: 12/28/2019] [Indexed: 12/21/2022]
Abstract
Cognitive deficits are important predictors for outcome, independence and quality of life after stroke, but often remain unnoticed and unattended because other impairments are more evident. Computerized cognitive training (CCT) is among the candidate interventions that may alleviate cognitive difficulties, but the evidence supporting its feasibility and effectiveness is scarce, partly due to the lack of tools for outcome prediction and monitoring. Magnetic resonance imaging (MRI) provides candidate markers for disease monitoring and outcome prediction. By integrating information not only about lesion extent and localization, but also regarding the integrity of the unaffected parts of the brain, advanced MRI provides relevant information for developing better prediction models in order to tailor cognitive intervention for patients, especially in a chronic phase. Using brain age prediction based on MRI based brain morphometry and machine learning, we tested the hypotheses that stroke patients with a younger-appearing brain relative to their chronological age perform better on cognitive tests and benefit more from cognitive training compared to patients with an older-appearing brain. In this randomized double-blind study, 54 patients who suffered mild stroke (>6 months since hospital admission, NIHSS≤7 at hospital discharge) underwent 3-weeks CCT and MRI before and after the intervention. In addition, patients were randomized to one of two groups receiving either active or sham transcranial direct current stimulation (tDCS). We tested for main effects of brain age gap (estimated age - chronological age) on cognitive performance, and associations between brain age gap and task improvement. Finally, we tested if longitudinal changes in brain age gap during the intervention were sensitive to treatment response. Briefly, our results suggest that longitudinal brain age prediction based on automated brain morphometry is feasible and reliable in stroke patients. However, no significant association between brain age and both performance and response to cognitive training were found.
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Affiliation(s)
- Geneviève Richard
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway.
| | - Knut Kolskår
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Kristine M Ulrichsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Tobias Kaufmann
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Anne-Marthe Sanders
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Erlend S Dørum
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Jennifer Monereo Sánchez
- Faculty of Health, Medicine and Life Sciences, Maastricht University, Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Netherlands
| | - Anders Petersen
- Center for Visual Cognition, Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Hege Ihle-Hansen
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | | | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway.
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Richard G, Kolskår K, Sanders AM, Kaufmann T, Petersen A, Doan NT, Monereo Sánchez J, Alnæs D, Ulrichsen KM, Dørum ES, Andreassen OA, Nordvik JE, Westlye LT. Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry. PeerJ 2018; 6:e5908. [PMID: 30533290 PMCID: PMC6276592 DOI: 10.7717/peerj.5908] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Accepted: 10/10/2018] [Indexed: 01/26/2023] Open
Abstract
Multimodal imaging enables sensitive measures of the architecture and integrity of the human brain, but the high-dimensional nature of advanced brain imaging features poses inherent challenges for the analyses and interpretations. Multivariate age prediction reduces the dimensionality to one biologically informative summary measure with potential for assessing deviations from normal lifespan trajectories. A number of studies documented remarkably accurate age prediction, but the differential age trajectories and the cognitive sensitivity of distinct brain tissue classes have yet to be adequately characterized. Exploring differential brain age models driven by tissue-specific classifiers provides a hitherto unexplored opportunity to disentangle independent sources of heterogeneity in brain biology. We trained machine-learning models to estimate brain age using various combinations of FreeSurfer based morphometry and diffusion tensor imaging based indices of white matter microstructure in 612 healthy controls aged 18-87 years. To compare the tissue-specific brain ages and their cognitive sensitivity, we applied each of the 11 models in an independent and cognitively well-characterized sample (n = 265, 20-88 years). Correlations between true and estimated age and mean absolute error (MAE) in our test sample were highest for the most comprehensive brain morphometry (r = 0.83, CI:0.78-0.86, MAE = 6.76 years) and white matter microstructure (r = 0.79, CI:0.74-0.83, MAE = 7.28 years) models, confirming sensitivity and generalizability. The deviance from the chronological age were sensitive to performance on several cognitive tests for various models, including spatial Stroop and symbol coding, indicating poorer performance in individuals with an over-estimated age. Tissue-specific brain age models provide sensitive measures of brain integrity, with implications for the study of a range of brain disorders.
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Affiliation(s)
- Geneviève Richard
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Knut Kolskår
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Anne-Marthe Sanders
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Tobias Kaufmann
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anders Petersen
- Center for Visual Cognition, Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Nhat Trung Doan
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jennifer Monereo Sánchez
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dag Alnæs
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kristine M. Ulrichsen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Erlend S. Dørum
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Ole A. Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Lars T. Westlye
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
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Abstract
Reciprocal herkogamy (heterostyly) is an example of extreme relevance of accuracy of the location of the sexual organs within some floral systems. It involves the reciprocal positioning of anthers and stigmas in flowers of different plants within the same population, and the accuracy of this positioning is important to promote out-cross pollination, prevent self-interference, or both. Hence, several indices have been proposed to quantify reciprocity, most of them for populations with two different morphs (distylous). Here, we propose an extension of our index of reciprocity for distylous populations to be applied also to populations with three morphs (tristylous), allowing effective comparisons of reciprocity between tristylous, but also distylous populations. As for the distylous version, the index is based on comparison of the position of every single sexual organ in the sample with each and every organ of the opposite sex, for each of the three possible organ levels. Due to the massive amount of calculations required, a macro was developed that is available as Supplementary Information and at the website of the authors. The index and macro were tested on several hypothetical tristylous and distylous populations with predetermined mean and dispersion of sexual organs at each level, as well as on several actual tristylous and distylous populations. The index proposed is a solid tool for the study of reciprocity in distylous and tristylous populations. Comparisons between distylous and tristylous populations are easily performed and can be readily interpreted. The applicability of the index is facilitated through the software provided.
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Affiliation(s)
- J M Sánchez
- Department of Plant Biology and Soil Sciences, Faculty of Biology, University of Vigo, Vigo, Spain.
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17
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Rubio O, Sánchez JM, Fernández R. [Life-sustaining treatment limitation criteria upon admission to the intensive care unit: results of a Spanish national multicenter survey]. Med Intensiva 2012; 37:333-8. [PMID: 22959596 DOI: 10.1016/j.medin.2012.06.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2012] [Revised: 06/15/2012] [Accepted: 06/16/2012] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To determine the life-sustaining treatment limitation (LSTL) predisposition upon patient admission to the intensive care unit (ICU), the criteria upon which such predisposition is based, and whether these decisions are related to structural factors of the surveyed hospitals. DESIGN A descriptive multicenter study was made in 2010, involving the conduction of a survey in 90 hospitals, with a view to documenting the usual practice referred to LSTL upon admission in these centers. SETTING Spanish ICUs. INTERVENTION Opinion survey. MAIN VARIABLES OF INTEREST Type of hospital, number of hospital beds, ICU and semicritical patient beds, usual bed availability in the ICU, use of restrictive admission criteria, use of LSTL criteria upon admission, and type of criterion used to decide LSTL. RESULTS A total of 43 (48%) hospitals participated in the study, with LSTL being a common practice in these centers (93%). LSTL was fundamentally decided on the basis of the presence of prior severe chronic disease (95%), observation of previously declared patient will (95%), prior functional limitation (85%), and qualitative futility of care (82%). Frequent ICU bed availability (77% of the hospitals) and the use of restrictive criteria (79% of the hospitals) were also associated to patient admission with LSTL. CONCLUSIONS Admission to ICU with LSTL is a generalized practice in Spanish Hospitals. LSTL is decided based on physiological futility from an objective medical point of view, but also in observance of ethical and moral implications based on the qualitative futility of medical care.
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Affiliation(s)
- O Rubio
- Servicio de Medicina Intensiva, Hospital Sant Joan de Déu, Manresa, Barcelona, España.
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Sánchez JM, Ferrero V, Arroyo J, Navarro L. Patterns of style polymorphism in five species of the South African genus Nivenia (Iridaceae). Ann Bot 2010; 106:321-31. [PMID: 20576739 PMCID: PMC2908166 DOI: 10.1093/aob/mcq111] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2010] [Revised: 04/08/2010] [Accepted: 04/20/2010] [Indexed: 05/23/2023]
Abstract
BACKGROUND AND AIMS Heterostylous plants have been characterized by the presence of two or three discrete morphs that differ in their sex organ position within populations. This polymorphism is widely distributed among the angiosperms, but detailed studies are limited to few taxonomic groups. Although a small representation, evolutionary meaningful variations of the heterostylous syndrome have been reported when precise measurements of the sexual whorls were taken. A thorough exploration of groups where heterostyly has been reported should offer new opportunities to further testing the evolutionary hypotheses explaining heterostyly. Here, the traits defining heterostyly were explored in half of the species in Nivenia, the only genus of Iridiaceae where heterostyly has been reported. METHODS Detailed morphometric analysis of the flower sexual whorls and some traits considered as ancillary are supplied to determine for each population (a) the kind of stylar polymorphism, (b) the morph ratio and (c) the degree of reciprocity between sexual whorls. Also the rates of assortative (within morph) versus disassortative (between morphs) pollen transfer were estimated by analysing pollen loads on stigmas. The association between floral phenotypic integration and the reciprocity between sexual whorls was estimated; both characteristics have been quoted as dependent on the accuracy of the fit between pollinators and flowers and therefore related to the efficiency of pollen transfer. KEY RESULTS Different types of polymorphism, differing in their degree of reciprocity, were found in Nivenia. Effective disassortative mating appears to be common, since (a) all dimorphic populations show equal morph-ratios (isoplethy), and (b) the pollen placed on the stigmas of each morph is likely to be coming from the other (complementary) morph. The most reciprocal populations of the heterostylous species have also the highest values of phenotypical integration. CONCLUSIONS Stigma height dimorphism, as opposed to distyly, is proven for the first time in Nivenia. The presence of different types of polymorphism within the genus is consistent with hypotheses of the evolution of heterostyly. The role of the pollinators as the leading force of the transition seems to be apparent, since floral integration is related to reciprocity.
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Affiliation(s)
- J M Sánchez
- Departamento de Biología Vegetal y Ciencia del Suelo, Universidad de Vigo, Spain.
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Zambudio G, Guirao MJ, Sánchez JM, Girón O, Ruiz JI, Gutiérrez MA. [Nonsurgical correction of congenital auricular deformities a new method of neonatal molding and splinting]. Cir Pediatr 2007; 20:139-142. [PMID: 18018739] [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] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
INTRODUCTION The utility of the nonsurgical correction of congenital auricular deformities by ear molding and splinting has been previously established. Occasionally, its application cannot be easy, and the later collaboration of the parents is necessary. We report a new method of splinting that simplifies the procedure. DESIGN prospective, case series. PATIENTS AND METHODS Twenty ears in 15 patients between 7 and 60 days of age (average 22 days) were treated. They were 12 prominent ears, 4 Stahl's ears, 2 lop ears, 1 Crinkled ear, and 1 case of increase of antihelix folder. Cotton impregnated with 2-Octyl-Cyanoacrylate is placed as splint for 6 weeks. RESULTS The bilateral application lasted less than 5 minutes, end there were no spills to the external auditory canal. The splint was given off to the 2 weeks, and a second procedure was necessary in all the cases. There were no dermatitis or skin ulcers. The treatment was successful in 11 cases, partial improvement in 3, poor correction in 4, and recurrence in 2. CONCLUSIONS The splint therapy is an easy nonsurgical method for the treatment of congenital auricular deformities that applied during the first weeks of life provides good aesthetic results in more than 50% of the patients.
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Affiliation(s)
- G Zambudio
- Servicio de Cirugía Pediátrica, Hospital Universitario Virgen de la Arrixaca, Murcia.
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Zambudio G, Ruiz JI, Guirao MJ, Sánchez JM, Girón O, Gutiérrez MA. [Anterior approach otoplasty for treatment of prominent ears in children. A minimally invasive technique]. Cir Pediatr 2007; 20:119-21. [PMID: 17650724] [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] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
INTRODUCTION In adult patients, it has been reported that prominent ears can be treated by mattress sutures placed through the anterior aspect of the ear, with a minimally invasive technique. In order to verify the utility of this method in children, we used this technique in our patients. MATERIAL AND METHODS Twenty-two prominent ears were treated in 12 patients between 8 and 11 years of ages. All were operated under general anesthesia. The anterior surface of the auricular cartilage is scored with a rasp. The antihelix shape is obtained, and mattress sutures are placed through the anterior surface of the ear. RESULTS A good aesthetic result was obtained in all the cases. Superficial skin necrosis happened in three. Partial loss of correction in the superior pole was noted in four ears. In 6, some knots were visible through the skin. CONCLUSIONS This repair is a simple technique for the treatment of the prominent ears in children, of good aesthetic results, that it avoids the necessity of dorsal skin resection and produces folds of antihelix more naturally curved. In children, to avoid the exteriorization of the suture material, the knots must be placed in the posterior surface of de auricular cartilage.
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Affiliation(s)
- G Zambudio
- Servicio de Cirugía Pediátrica, Hospital Universitario Virgen de la Arrixaca, Murcia.
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Rojo A, Campos Y, Sánchez JM, Bonaventura I, Aguilar M, García A, González L, Rey MJ, Arenas J, Olivé M, Ferrer I. NARP-MILS syndrome caused by 8993 T>G mitochondrial DNA mutation: a clinical, genetic and neuropathological study. Acta Neuropathol 2006; 111:610-6. [PMID: 16525806 DOI: 10.1007/s00401-006-0040-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.9] [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: 10/02/2005] [Revised: 12/29/2005] [Accepted: 12/30/2005] [Indexed: 12/01/2022]
Abstract
The 8993 T>G mutation in mitochondrial DNA has been associated with variable syndromes of differing severity ranging from maternally inherited Leigh's syndrome (MILS) to neuropathy, ataxia, retinitis pigmentosa (NARP), depending on the mutation loads in affected patients. We report a kindred with several members in the same generation suffering NARP or Leigh's syndrome due to a 8993 T>G mutation. Post-mortem studies of the brain in one affected member clinically presenting with a neurological disorder intermediate between adult Leigh's syndrome and NARP showed symmetrical lesions of the basal ganglia and brainstem closely resembling those usually described in typical Leigh's syndrome. Analysis of mtDNA in different tissues showed a high proportion of mutant genome in brainstem, cerebral cortex, putamen, cerebellum and thalamus. These observations illustrate the continuum of clinical and neuropathological manifestations associated with the 8993 T>G mutation of the mtDNA.
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Affiliation(s)
- A Rojo
- Neurology Services, Hospital Mútua de Terrassa, and University of Barcelona, Spain
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22
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García P, Carrillo A, Fernández A, Sánchez JM. [Risk factors in experimenting with and consumption of tobacco by 12-14 year-old school students. Attitudes to tobacco in pressure groups]. Aten Primaria 2006; 37:392-9. [PMID: 16733021 PMCID: PMC7679900 DOI: 10.1157/13087382] [Citation(s) in RCA: 5] [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: 11/21/2022] Open
Abstract
INTRODUCTION Tobacco is the first addictive substance that adolescents and school-children have contact with. The presence of family members and friends as smokers in their environment is related to tobacco experimentation. OBJECTIVES To describe experimentation and consumption of tobacco in secondary school students (ESO); to identify the attitudes related to smoking; and to study the relationship between smoking by family members, friends and teachers and students' own experimentation and consumption. METHODS Observational, prospective study at the "Los Cantos" secondary school, Bullas, Murcia, Spain. POPULATION students from the first, second and third years of ESO, analysed in December 2000 and 2001. The variables studied were collected with the FRISC questionnaire. RESULTS The population had 529 students, 293 of them boys, with average age 13.2. A total of 328 had smoked sometime (62%) and 19.1% smoked habitually. Attitudes related with smoking were: "smoking makes you feel better" (P<.001), "smoking is fun" (P<.001), "smoking helps to make friends" (P<.001) and "I'd accept a cigarette from a friend" (P<.001). Tobacco experimentation was related to friends/companions smoking (OR=2.402; 95% CI, 1.591-3.628), to the presence of a mother and older siblings smoking (OR=2.703; 95% CI, 1.574-4.642), and to the presence of friends/companions smoking (OR=6.342; 95% CI, 3.102-12.964). CONCLUSION Experimentation and consumption of tobacco in the population studied is very high. The most important risk factors for students smoking are the conduct of friends and of older siblings.
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Affiliation(s)
- P García
- Unidad de Investigación y Calidad, Hospital J.M. Morales Meseguer, Murcia, España.
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Prieto C, Rivas MJ, Sánchez JM, López-Fidalgo J, De Las Rivas J. Algorithm to find gene expression profiles of deregulation and identify families of disease-altered genes. Bioinformatics 2006; 22:1103-10. [PMID: 16500942 DOI: 10.1093/bioinformatics/btl053] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
MOTIVATION Alteration of gene expression often results in up- or down-regulated genes and the most common analysis strategies look for such differentially expressed genes. However, molecular disease mechanisms typically constitute abnormalities in the regulation of genes producing strong alterations in the expression levels. The search for such deregulation states in the genomic expression profiles will help to identify disease-altered genes better. RESULTS We have developed an algorithm that searches for the genes which present a significant alteration in the variability of their expression profiles, by comparing an altered state with a control state. The algorithm provides groups of genes and assigns a statistical measure of significance to each group of genes selected. The method also includes a prefilter tool to select genes with a threshold of differential expression that can be set by the user ad casum. The method is evaluated using an experimental set of microarrays of human control and cancer samples from patients with acute promyelocytic leukemia.
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Affiliation(s)
- C Prieto
- Bioinformatics and Functional Genomics Research Group, Cancer Research Center (CIC USAL-CSIC), Salamanca, Spain
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Affiliation(s)
- A de Hoyos
- Department of Gastroenterology, Hospital Angeles del Pedregal, Mexico City, Mexico.
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25
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Díez M, Bleda MJ, Alcaide J, Castells C, Cardenal JI, Domínguez A, Gayoso P, Guitiérrez G, Huerta C, López MJ, Moreno T, Muñoz F, García-Fulgueiras A, Picó M, Pozo F, Quirós JR, Robles F, Sánchez JM, Vanaclocha H, Vega T. Determinants of health system delay among confirmed tuberculosis cases in Spain. Eur J Public Health 2005; 15:343-9. [PMID: 16014664 DOI: 10.1093/eurpub/cki010] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.2] [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: 11/13/2022] Open
Abstract
BACKGROUND Health system delay (HSD) is an important issue in tuberculosis (TB) control. This report investigates HSD and associated factors in a cohort of Spanish culture-confirmed TB patients. METHODS Data were collected from clinical records. Using logistic regression with two different cut-off points to define HSD (median and 75th percentile), adjusted odds ratios were used to estimate the association between HSD and different variables. RESULTS A total of 5184 culture-confirmed TB cases were included. Median and 75th percentile HSD were 6 and 25 days respectively. HSD significantly greater than the median was associated with: age >44 years, past or present intravenous drug use, diagnosis at a primary-care centre, prior preventive therapy, positive histology, request for drug-sensitivity testing, presence of silicosis or neoplasia in addition to TB, presence of non-TB related symptoms, and gastrointestinal site. HSD greater than the 75th percentile was related to the same variables, with the exception of diagnosis at a primary-care centre, positive histology, silicosis, non-TB-related symptoms and gastrointestinal site, for which the association disappeared; in contrast, an association with female gender emerged. CONCLUSION Despite free health care being universally available in Spain, there are some groups of TB patients whose treatment is unduly delayed.
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Affiliation(s)
- M Díez
- TB Research Unit, National Centre for Epidemiology, Carlos III Institute of Public Health, Madrid, Spain.
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Díez M, Bleda MJ, Alcaide J, Caloto T, Castells C, Cardenal JI, Domínguez A, Gayoso P, Gutiérrez G, Huerta C, López MJ, Moreno T, Muñoz F, Navarro C, Picó M, Pozo F, Quirós JR, Robles F, Sánchez JM, Vanaclocha H, Vega T. Determinants of patient delay among tuberculosis cases in Spain. Eur J Public Health 2004; 14:151-5. [PMID: 15230500 DOI: 10.1093/eurpub/14.2.151] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.2] [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: 11/13/2022] Open
Abstract
BACKGROUND Patient delay was investigated in a cohort of TB patients identified from May 1996 until April 1997 in 13 Autonomous Regions in Spain. The study covered almost 67% of the total Spanish population. METHODS Data were collected from clinical records. Using unconditional logistic regression with two different cut-off points to define 'patient delay' (the median and 75th percentile), the association between patient delay and different factors was estimated. RESULTS A total of 7,037 cases were included. Median and 75th percentile delays were 22 and 57 days respectively. Factors associated with patient delay greater than the median (p<0.05) were: non-respiratory symptoms of TB and age over 14 years, although the effect of age was not linear. Furthermore, an interaction was observed between intravenous drug user (IDU) and HIV status, in that, whereas patient delay was greater in IDUs than in non-IDUs among cases whose HIV status was either negative or unknown, among HIV-positive patients no such IDU-related differences were in evidence. Factors associated with extreme patient delay (greater than the 75th percentile) were essentially the same, but the above-described interaction disappeared, with IDU status showing no direct effect. In addition, likelihood of extreme patient delay increased in the case of alcoholism and female gender and decreased in the case of chronic renal failure, corticoid treatment, prison inmates and residents of old age homes. CONCLUSION Although there is a universally enjoyed right to health care in Spain, some groups of TB patients could nevertheless be experiencing problems in seeking medical attention.
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Affiliation(s)
- M Díez
- Unidad de Investigación en TB, Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain.
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Fernández-Torre JL, Sánchez JM, González C, Fernández-Guinea O. Complex partial status epilepticus of extratemporal origin in a patient with systemic lupus erythematosus. Seizure 2003; 12:245-8. [PMID: 12763474 DOI: 10.1016/s1059-1311(02)00259-5] [Citation(s) in RCA: 10] [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] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
The purpose of this case report is to describe the clinical, electroencephalographic and neuroimaging findings from a woman with systemic lupus erythematosus presenting with complex partial status epilepticus (CPSE) of neocortical temporo-parieto-occipital origin. The patient experienced complex visual hallucinations that initially were attributed to treatment with corticosteroids; however, an electroencephalogram (EEG) demonstrated the epileptic aetiology of her symptoms. CPSE should be considered as a possible cause of altered mental status in lupus. An urgent EEG is essential to make an accurate diagnosis.
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Muñoz L, Nomdedéu JF, Villamor N, Guardia R, Colomer D, Ribera JM, Torres JP, Berlanga JJ, Fernández C, Llorente A, Queipo de Llano MP, Sánchez JM, Brunet S, Sierra J. Acute myeloid leukemia with MLL rearrangements: clinicobiological features, prognostic impact and value of flow cytometry in the detection of residual leukemic cells. Leukemia 2003; 17:76-82. [PMID: 12529663 DOI: 10.1038/sj.leu.2402708] [Citation(s) in RCA: 88] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2001] [Accepted: 06/19/2002] [Indexed: 11/09/2022]
Abstract
The MLL gene, located at 11q23 band, is frequently disrupted by different chromosomal rearrangements that occur in a variety of hematological malignancies. MLL rearrangements are associated with distinct clinical features and a poor prognosis. The aim of this study was to analyze the incidence and the prognostic significance of MLL rearrangements in a consecutive series of adult AML patients and to determine the immunophenotypic features of these cases. The identification of abnormal immunophenotypes could be used for the detection of minimal residual disease (MRD). Ninety-three adult patients with de novo acute myeloid leukemia (AML) were analyzed by Southern blot in order to detect MLL rearrangements (MLL+). RT-PCR and genomic long-range PCR were performed to further characterize MLL partial tandem duplication (PTD) in those patients in whom conventional karyotype did not show 11q23 chromosomal translocations. All the patients were homogeneously immunophenotyped at diagnosis. MLL rearrangements were detected in 13 (14%) patients. Four patients (5%) showed 11q23 translocations by karyotypic conventional analysis. Nine patients (10%) revealed PTD of MLL and one patient showed a MLL cleavage pattern. The MLL+ patients usually expressed myeloid and monocytic antigens CD33 (12/13 cases), CD13 (9/13), CD117 (9/13), CD64 (11/13) and in some cases CD14 (4/11). HLA-DR was also positive in (12/13). Eight out of 13 cases expressed the stem cell marker CD34. Only one patient revealed lymphoid marker reactivity (CD7) and CD56 was expressed in 5/13 cases. All the MLL+ patients showed at least one aberrant phenotype at diagnosis, which allowed us to set out a simple panel for the MRD studies. Twenty-seven samples from eight patients in morphologic complete remission (CR) were analyzed using the aberrant immunologic combinations detected at diagnosis. Phenotypically abnormal cells were detected in all the patients who subsequently relapsed, whereas only one patient with MRD+ remained in CR. Owing to the high level of residual leukemic cells, the MLL+ patients showed a short CR duration and a poor survival. In conclusion, immunophenotyping may be a suitable approach to investigating MRD status in AML patients with PTD of the MLL gene.
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MESH Headings
- Acute Disease
- Adolescent
- Adult
- Antibodies, Monoclonal/immunology
- Antibodies, Neoplasm/immunology
- Antigens, CD/immunology
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Blotting, Southern
- Chromosomes, Human, Pair 11/genetics
- DNA-Binding Proteins/genetics
- DNA-Binding Proteins/metabolism
- Disease-Free Survival
- Flow Cytometry
- Gene Duplication
- Gene Rearrangement
- Histone-Lysine N-Methyltransferase
- Humans
- Immunophenotyping
- Karyotyping
- Leukemia, Myeloid/drug therapy
- Leukemia, Myeloid/genetics
- Leukemia, Myeloid/pathology
- Middle Aged
- Myeloid-Lymphoid Leukemia Protein
- Neoplasm, Residual/drug therapy
- Neoplasm, Residual/genetics
- Neoplasm, Residual/pathology
- Polymerase Chain Reaction
- Prognosis
- Proto-Oncogenes
- Remission Induction
- Transcription Factors
- Translocation, Genetic
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Affiliation(s)
- L Muñoz
- Department of Hematology, Hospital de la Santa Creu, Sant Pau, Barcelona, Spain
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Abstract
We determined the values of haematocrit and blood chemistry of the black vulture (Aegypius monachus) in Extremadura (Spain). We analysed 57 nestlings, five feral adults, seven captive individuals in their first year and five captive adults. Free-living adults had a higher haematocrit and lower calcium and alkaline phosphatases concentrations than captive birds. There were differences in haematocrit and in the concentrations of glucose, uric acid, total proteins, alkaline phosphatases, phosphorus and aspartate aminotransferase between nestlings and young in their first year and adults. The estimated age of the nestlings was significantly correlated with haematocrit, plasma glucose and total protein concentrations. The physical condition of nestlings was significantly correlated with plasma alkaline phosphatases levels.
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Affiliation(s)
- A Villegas
- Grupo de Investigación en Conservación, Area de Biología Animal, Universidad de Extremadura, Avda, de Elvas s/n, 06071, Badajoz, Spain.
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San Miguel JF, Lahuerta JJ, García-Sanz R, Alegre A, Bladé J, Martinez R, García-Laraña J, De La Rubia J, Sureda A, Vidal MJ, Escudero A, Pérez-Esquiza E, Conde E, García-Ruiz JC, Cabrera R, Caballero D, Moraleda JM, Leon A, Besalduch J, Hernandez MT, Rifon J, Hernandez F, Solano C, Palomera L, Parody R, Gonzalez JD, Mataix R, Maldonado J, Constela J, Carrera D, Bello JL, De Pablos JM, Pérez-Simón JA, Torres JP, Olanguren J, Prieto E, Acebede G, Peñarrubia MJ, Torres P, Díez-Martín JL, Rivas A, Sánchez JM, Díaz-Mediavilla J. Are myeloma patients with renal failure candidates for autologous stem cell transplantation? Hematol J 2002; 1:28-36. [PMID: 11920166 DOI: 10.1038/sj.thj.6200003] [Citation(s) in RCA: 91] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/1999] [Accepted: 09/17/1999] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Renal function is one of the most important prognostic factors in multiple myeloma (MM). Patients with renal failure are generally excluded from high dose therapy even though they display a poor prognosis with conventional chemotherapy schemes. The aim of this study was to analyze the outcome of MM patients with renal insufficiency undergoing autologous stem cell transplantation (ASCT), including the evaluation of the quality of PB stem cell collections, kinetics of engraftment, transplant-related mortality, response to high dose chemotherapy and survival. MATERIALS AND METHODS From a total of 566 valuable patients included in the MM Spanish ASCT registry, three groups of patients were defined: group BA, patients with abnormal renal function at diagnosis but normal at transplant (73 cases); group BB, patients with abnormal function both at diagnosis and at transplant (14 cases); and group AA (control group, 479 cases), patients who constantly had normal renal function. RESULTS AND CONCLUSION Patients from groups BA and BB presented with a significantly higher number of adverse prognostic factors, reflecting that we were dealing with high tumor MM cases, as compared with patients from group AA. The number of mononuclear cells, CD34+ cells and CFU-GM cells collected in patients with non-reversible renal insufficiency was similar to those harvested in MM patients with normal renal function. Moreover, neutrophil and platelet engraftments were identical in patients with and without renal failure (days +11 and +12, respectively). By contrast, transplant-related mortality (TRM) was significantly higher in group BB patients (29%) than in groups BA (4.1%) and AA (3.3%). In multivariate analysis only three variables showed independent influence on TRM: poor performance status (ECOG 3), hemoglobin <9.5 g/dl and serum creatinine > or =5 mg/dl. The response to high dose therapy was independent of renal function. Interestingly, 43% of patients from group BB showed an improvement in renal function (creatinine < 2 mg/dl) after transplant. The three-year overall survival from transplantation was 56, 49 and 61% for the BB, BA and AA groups, respectively, with a statistically significant difference favoring group AA (P<0.01). PFS did not differ significantly between the three groups of patients. In multivariate analysis the only unfavorable independent prognostic factors for overall survival were poor performance status either at diagnosis or at transplant, high beta(2)-microglobulin levels, and no response to transplant. According to these results, ASCT is an attractive alternative for MM patients with renal insufficiency, and it should not constitute a criterion for exclusion from transplant unless patients display poor performance status and very high creatinine levels (>5 mg/dl).
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Affiliation(s)
- J F San Miguel
- Spanish Registry for Transplant in Multiple Myeloma, Grupo Español de Trasplante Hematopoyético (GETH), Spain.
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Sánchez JM, Li Y, Rubashkin A, Iserovich P, Wen Q, Ruberti JW, Smith RW, Rittenband D, Kuang K, Diecke FPJ, Fischbarg J. Evidence for a central role for electro-osmosis in fluid transport by corneal endothelium. J Membr Biol 2002; 187:37-50. [PMID: 12029376 DOI: 10.1007/s00232-001-0151-9] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2001] [Indexed: 10/27/2022]
Abstract
The mechanism of transepithelial fluid transport remains unclear. The prevailing explanation is that transport of electrolytes across cell membranes results in local concentration gradients and transcellular osmosis. However, when transporting fluid, the corneal endothelium spontaneously generates a locally circulating current of approximately 25 microA cm(-2), and we report here that electrical currents (0 to +/-15 microA cm(-2)) imposed across this layer induce fluid movements linear with the currents. As the imposed currents must be approximately 98% paracellular, the direction of induced fluid movements and the rapidity with which they follow current imposition (rise time < or =3 sec) is consistent with electro-osmosis driven by sodium movement across the paracellular pathway. The value of the coupling coefficient between current and fluid movements found here (2.37 +/- 0.11 microm cm(2) hr(-1) microA (-1), suggests that: 1) the local endothelial current accounts for spontaneous transendothelial fluid transport; 2) the fluid transported becomes isotonically equilibrated. Ca(++)-free solutions or endothelial damage eliminate the coupling, pointing to the cells and particularly their intercellular junctions as a main site of electro-osmosis. The polycation polylysine, which is expected to affect surface charges, reverses the direction of current-induced fluid movements. Fluid transport is proportional to the electrical resistance of the ambient medium. Taken together, the results suggest that electro-osmosis through the intercellular junctions is the primary process in a sequence of events that results in fluid transport across this preparation.
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Affiliation(s)
- J M Sánchez
- Department of Ophthalmology, College of Physicians and Surgeons, Columbia University, W 168th St., New York, NY 10032, USA
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Diez M, Huerta C, Moreno T, Caloto T, Guerra D, Pozo F, Alcaide J, Castells C, Cardenal JI, Domínguez A, Gayoso P, Gutiérrez G, López MJ, Muñoz F, Navarro C, Picó M, Quirós JR, Robles F, Sánchez JM, Vanaclocha H, Vega T. Tuberculosis in Spain: epidemiological pattern and clinical practice. Int J Tuberc Lung Dis 2002; 6:295-300. [PMID: 11936737] [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: 02/24/2023] Open
Abstract
SETTING Thirteen Autonomous Regions in Spain. OBJECTIVE To study the incidence of all forms of tuberculosis (TB) and investigate clinical practice in TB. DESIGN Cases of all forms of tuberculosis diagnosed in the study setting from May 1986 to April 1997 were identified though active search of different databases. Clinical and epidemiological information on cases was collected from clinical records or by interview with physicians. RESULTS The overall incidence of all forms of tuberculosis was 38.5/100,000 and the incidence of smear-positive disease was 13.83/100,000. Most cases (97.1%) were Spanish nationals, with rates higher in men than in women (52.7/100,000 vs. 24.87/100,000) and in groups aged 25-34 and 75 years and over (61.35/100,000 and 59.35/100,000, respectively). Disseminated forms were frequent (6.6%), and the most common risk factor was human immunodeficiency virus (HIV) infection (17.7% of cases). Hospitalisation was common (71.6%). Microbiological confirmation of diagnosis was sought for 87.7% of the cases (91.8% of pulmonary vs. 75.5% of extra-pulmonary cases), and 65.2% were culture-positive (73.8% of pulmonary vs. 39.7% of extra-pulmonary cases). HIV-infected patients were treated in almost equal proportions with three or four drugs (49.7% and 48.2%, respectively), while HIV-negative cases or those whose HIV status was unknown were usually treated with three drugs. CONCLUSION The epidemiological pattern of TB in Spain is different to other industrialised countries in the age distribution of cases and the proportions of foreigners and cases with HIV infection. Microbiological confirmation of diagnosis is more common in pulmonary than in extra-pulmonary disease, and treatment with four drugs more frequent in HIV-positive cases.
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Affiliation(s)
- M Diez
- Unidad de Investigación en Tuberculosis, Instituto de Salud Carlos III, Madrid, Spain.
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Gómez-Arbonés X, Pinacho A, Ortiz P, Maciá J, Gallart M, Araguás C, Sánchez JM, Teixidó M. Quantification of foetomaternal haemorrhage. An analysis of two cytometric techniques and a semiquantitative gel agglutination test. Clin Lab Haematol 2002; 24:47-53. [PMID: 11843899 DOI: 10.1046/j.1365-2257.2002.00146.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Traditional tests to screen for foetomaternal haemorrhage are time-consuming and difficult to perform. The Kleihauer test is widely used but difficult to standardize. We evaluated three techniques for quantifying foetomaternal haemorrhage: a semiquantitative gel agglutination test and two flow cytometric techniques. The gel agglutination test is based on the consumption of anti-D reagent by D+ cells, analysing the reaction of the supernatant against indicator cells in a Coombs-gel card. In the two colour direct immunofluorescent technique, the sample is incubated with Per-CP labelled anti CD45 antibody, fixed with glutaraldehyde and permeabilized by exposure to Triton X-100. An aliquot is stained with an antibody to foetal haemoglobin, conjugated with fluorescein isothiocyanate or phycoerythrin. The indirect immunofluorescent technique is based on the labelling of Rh (D) antigen with an anti D reagent, followed by the addition of an anti IgG antibody conjugated with phycoerythrin. Foetomaternal haemorrhage was not detected in 75 of the 85 samples analysed by the direct immunofluorescent technique. In the remaining 10 samples, the volume was very low. Thirty-five samples with Rh (D) antigen incompatibility were analysed in parallel by the indirect immunofluorescent technique and in 15 of the 35 samples, the gel agglutination technique was also carried out. The three techniques gave similar results. The gel agglutination test can be used to screen for foetomaternal haemorrhage, while greater volumes should be quantified by flow cytometric techniques.
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Affiliation(s)
- X Gómez-Arbonés
- Department of Haematology, Arnau de Vilanova University Hospital, University of Lleida, Spain.
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Méndez-Sánchez N, González V, Aguayo P, Sánchez JM, Tanimoto MA, Elizondo J, Uribe M. Fish oil (n-3) polyunsaturated fatty acids beneficially affect biliary cholesterol nucleation time in obese women losing weight. J Nutr 2001; 131:2300-3. [PMID: 11533270 DOI: 10.1093/jn/131.9.2300] [Citation(s) in RCA: 32] [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] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
It has been reported that intake of (n-3) polyunsaturated fatty acids (PUFA) reduces the risk of coronary heart disease and decreases biliary cholesterol saturation in the bile of gallstone patients. We investigated the effect of n-3 PUFA on cholesterol saturation index (CSI) and nucleation time (NT) in obese subjects who were losing weight. This was a double-blind, placebo-controlled clinical trial. Obese women (n = 35) with a body mass index (BMI) > or = 30 kg/m(2), with no prior history of gallstones or cholecystectomy by ultrasound were first studied to ensure absence of stones or biliary sludge. The women were then assigned to a hypocaloric regimen [5.02 MJ (1200 kcal)/d] and to receive 1200 mg/d of ursodeoxycholic acid (UDCA), 11.3 g/d of (n-3) PUFA or a placebo for 6 wk. BMI, CSI and NT were recorded at baseline and at the end of the experimental period. BMI decreased 5.75 +/- 2.7%/mo (range, 1.5-12.42%/mo) during the experiment. The CSI did not change in any of the groups. Cholesterol NT decreased significantly in the UDCA and placebo groups, but not in the (n-3) PUFA group. None of the women had developed gallstones at 6 wk. These results suggest that (n-3) PUFA maintain the CSI and NT in obese women during rapid weight loss, which probably results in the prevention of cholesterol gallstone formation.
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Affiliation(s)
- N Méndez-Sánchez
- Department of Biomedical Research, Medica Sur Clinic and Foundation, Mexico City, Mexico.
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35
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Rosell R, Sánchez JM, Tarón M, O'Brate A, Gutiérrez JL, Monzó M, Felip E, Sánchez JJ, Alberola V. Novel approaches in the treatment of non-small-cell lung cancer. Oncology (Williston Park) 2001; 15:52-60. [PMID: 11301850] [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] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Abstract
A wealth of data indicates that certain genetic abnormalities can target specific cytotoxic drugs and intervene at an early step as a mechanism of resistance in the treatment of non-small-cell lung cancer. Therefore prescribing certain combinations of cytotoxic anticancer agents to a vast majority of these patients is futile. Genetic abnormalities have been found to be useful surrogate markers for response, particularly in colorectal cancer: thymidylate synthase mRNA and ERCC1 mRNA levels. In addition, beta-tubulin mutations may also confer paclitaxel resistance in patients. An important target to be explored for gemcitabine resistance is the assessment of a particular region in chromosome 11p15.5 wherein lies the ribonucleotide reductase gene that could affect gemcitabine metabolism. Shedding light on this genetic framework, several proposed customized chemotherapy studies could help validate the relevance of these markers.
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Affiliation(s)
- R Rosell
- Medical Oncology Service, Hospital Germans Trias i Pujol, Badalona, Barcelona, Spain
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Abstract
A case of papillary squamous cell carcinoma of the larynx in a 50-year-old man is reported. The lesion was located in the supraglottic region and grossly presented a characteristic finger-like pattern of growth. The tumour pursued an indolent clinical course, and the patient is well and free of disease after 47 months of follow-up. The present paper recapitulates the macro- and microscopic features of this rare neoplasm and stresses its differential diagnosis with other exophytic squamous cell carcinomas of the region.
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Affiliation(s)
- C Ereño
- Department of Pathology, Hospital de Basurto, Basque Country University, Bilbao, Spain
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Kuchinka BD, Barrett IJ, Moya G, Sánchez JM, Langlois S, Yong SL, Kalousek DK, Robinson WP. Two cases of confined placental mosaicism for chromosome 4, including one with maternal uniparental disomy. Prenat Diagn 2001; 21:36-9. [PMID: 11180238 DOI: 10.1002/1097-0223(200101)21:1<36::aid-pd979>3.0.co;2-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.3] [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: 11/08/2022]
Abstract
Two cases of trisomy 4 mosaicism are reported including one with molecularly confirmed uniparental disomy (UPD) of chromosome 4. Cytogenetic analysis of a chorionic villus sample (CVS) in Case 1 showed complete trisomy 4 in trophoblast and diploidy in chorionic stroma. Amniotic fluid analysis demonstrated a 46,XX complement. After intrauterine fetal death at 30 weeks, molecular analysis confirmed the presence of trisomy 4 of maternal meiotic origin, while fetal tissues showed maternal UPD for chromosome 4. Cultured CVS in Case 2 revealed trisomy 4 in 2/30 cells analyzed. This pregnancy resulted in a healthy livebirth with biparental inheritance of chromosome 4. Molecularly confirmed UPD4 has not been previously reported, and therefore, although the adverse outcome in Case 1 is likely due to the trisomy 4 in the placenta, an imprinting effect associated with UPD4 cannot be excluded.
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Affiliation(s)
- B D Kuchinka
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
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38
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Gimeno JA, Puebla C, Sánchez JM, Aguilar E. [Dysgenetic male pseudohermaphroditism diagnosed in an elderly patient]. Med Clin (Barc) 2000; 115:517-8. [PMID: 11093877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
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39
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Gómez-Arbonés X, Pinacho A, Ortiz P, Maciá J, Gallart M, Araguás C, Sánchez JM, Teixidó M. A simple flow-cytometric method for absolute counting of residual white blood cells in leukocyte-reduced packed red cells. Vox Sang 2000; 76:64-5. [PMID: 9933857 DOI: 10.1159/000031022] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- X Gómez-Arbonés
- Department of Hematology, Arnau de Vilanova University Hospital, University of Lleida, Spain
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40
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López-Encuentra A, Bülzebruck H, Feinstein AR, Motta G, Mountain CF, Naruke T, Sánchez JM, Tsuchiya R, Wittekind C. Tumor staging and classification in lung cancer. Summary of the international symposium. Madrid, Spain, 3-4 December 1999. Lung Cancer 2000; 29:79-83. [PMID: 10970143 DOI: 10.1016/s0169-5002(00)00115-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- A López-Encuentra
- Servicio Neumologia Hospital Universitario, Andalucia 4.4 28041 Madrid, Spain
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41
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Fernández-Torre JL, González C, Sánchez JM. Re: Begemann et al. article describing the first case of nonconvulsive status epilepticus (NCSE) successfully treated with propofol. Epilepsia 2000; 41:920. [PMID: 10897171 DOI: 10.1111/j.1528-1157.2000.tb00269.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Fernández-Torre JL, González C, Sánchez JM. [Nonconvulsive status epilepticus of frontal origin. A case report]. Rev Neurol 2000; 30:1040-3. [PMID: 10904950] [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: 02/17/2023]
Abstract
INTRODUCTION Nonconvulsive status epilepticus (NCSE) of frontal origin is a form of partial status epilepticus which has rarely been well-documented. The inespecificity of the symptoms contribute frequently to its misinterpretation being the EEG the most useful tool to make an accurate diagnosis. CLINICAL CASE We report a 53-year-old woman who suffered from two generalized tonic-clonic seizures secondary to a left frontal hematoma in 1994. Onset of treatment with carbamazepine was followed by a complete control of seizures. After remaining seizure-free during four years, antiepileptic therapy was discontinued. By June 1999, she presented with a prolonged confusional state having a generalized tonic-clonic seizure at the emergency room. At that moment, a computed tomography (CT) scan was normal. Generalized seizures were controlled with phenytoin, however, the patient remained confused having occasionally episodes of turning of the head and eyes to the right side. Ictal EEG examination showed recurrent bilateral frontopolar, frontocentral and frontotemporal epileptiform discharges with a left frontal focal onset. The diagnosis of NCSE of frontal origin was made. Despite several anticonvulsant combinations, confusional state remained unchanged and she was transferred to the intensive care unit for sedation with propofol and mydazolam. On the following days, she experienced a marked improvement and EEG showed a few frontal spikes and sharp waves but without evidence of electrographic status epilepticus. The patient was finally discharged and remains seizure-free on phenytoin therapy. CONCLUSIONS Our clinical and EEG findings are in keeping with the diagnosis of NCSE of frontal origin. A severe confusional state was the most prominent symptom and EEG was essential for the diagnosis.
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Sánchez JM, Obrezkov O, Salvadó V. Separation of some platinum group metal chelates with 8-hydroxyquinoline by various high-performance liquid chromatographic methods. J Chromatogr A 2000; 871:217-26. [PMID: 10735302 DOI: 10.1016/s0021-9673(99)01014-6] [Citation(s) in RCA: 20] [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: 11/30/2022]
Abstract
Different HPLC methodologies are employed to evaluate the separation and determination of some platinum metals (Pt, Pd, Ir and Rh) after the formation of 8-hydroxyquinolate chelates. With the aim of reducing the number of steps in treating the samples, the method developed did not include the elimination of excess chelating reagent before the analysis of metal chelates. Reversed-phase (RP), non-aqueous reversed-phase (NARP) and normal-phase (NP) HPLC are compared. The RP-HPLC method only permits the quantitative separation of Rh and Pd from the excess reagent. A silica column can be used to separate Ir and Rh by NP-HPLC. The NARP-HPLC method allows for the effective separation of the four elements tested, but the high detection limit (90 ng) for platinum and the peak width do not favour its application for quantitative measurement. Platinum group metals can be quantitatively separated and determined by NP-HPLC using a cyano column in less than 15 min. The broad linear range of all the elements (between 1 and 500 ng) is superior to that which has been previously reported and the detection limits (1.0 ng for Pt, 0.3 ng for Pd, 1.0 ng for Ir and 0.3 ng for Rh) are slightly lower.
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Affiliation(s)
- J M Sánchez
- Chemistry Department, University of Girona, Spain
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Alvarez R, Alvarez V, Lahoz CH, Martínez C, Peña J, Sánchez JM, Guisasola LM, Salas-Puig J, Morís G, Vidal JA, Ribacoba R, Menes BB, Uría D, Coto E. Angiotensin converting enzyme and endothelial nitric oxide synthase DNA polymorphisms and late onset Alzheimer's disease. J Neurol Neurosurg Psychiatry 1999; 67:733-6. [PMID: 10567488 PMCID: PMC1736659 DOI: 10.1136/jnnp.67.6.733] [Citation(s) in RCA: 67] [Impact Index Per Article: 2.7] [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: 11/03/2022]
Abstract
OBJECTIVES Several lines of evidence suggest that the endothelial constitutive nitric oxide synthase (ecNOS) and angiotensin converting enzyme (ACE) may have a role in Alzheimer's disease. ACE is widely expressed in the brain, and a DNA polymorphism at the ACE gene has been linked to the risk for late onset Alzheimer's disease. Nitric oxide (NO) production by microglial cells, astrocytes, and brain microvessels is enhanced in patients with Alzheimer's disease. There is a growing evidence that NO is involved in neuronal death in Alzheimer's disease, and the oxidative stress caused by NO in the brain could be a pathogenic mechanism in Alzheimer's disease. The objective was to determine if two DNA polymorphisms at the ecNOS and ACE genes that have been linked with different levels of enzyme expression, have some effect on the risk of developing late onset Alzheimer disease. METHODS A total of 400 healthy controls younger than 65 years and 350 patients with Alzheimer's disease (average age 72 years) were genotyped for the ACE and ecNOS polymorphisms. To define a possible role for these polymorphisms in longevity 117 healthy controls older than 85 years were also analysed. Genomic DNA was obtained and amplified by polymerase chain reaction, and genotypes were defined following a previously described procedure. Gene and genotype frequencies between patients and controls were compared statistically. RESULTS Gene and genotype frequencies for the ecNOS and ACE polymorphisms did not differ between both groups of healthy controls (<65 years and >85 years). EcNOS gene and genotype frequencies were similar between patients and controls. There was a slight but significantly increased frequency of the ACE-I allele among patients with Alzheimer's disease compared with controls (p=0.03; OR=1.28, 95%CI= 1.04;1.58). CONCLUSIONS The ACE-I allele was associated with a slightly increased risk of developing late onset Alzheimer's disease.
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Affiliation(s)
- R Alvarez
- Laboratorio de Genética Molecular-Instituto Reina Sofía de Investigación Nefrológica, Hospital Central de Asturias, Oviedo, Spain
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Alvarez V, Alvarez R, Lahoz CH, Martínez C, Peña J, Guisasola LM, Salas-Puig J, Morís G, Uría D, Menes BB, Ribacoba R, Vidal JA, Sánchez JM, Coto E. Association between an alpha(2) macroglobulin DNA polymorphism and late-onset Alzheimer's disease. Biochem Biophys Res Commun 1999; 264:48-50. [PMID: 10527839 DOI: 10.1006/bbrc.1999.1295] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.2] [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: 11/22/2022]
Abstract
An association between a five-base-pair deletion/insertion DNA polymorphism at the alpha(2) macroglobulin gene (A2M) and late-onset Alzheimer's disease (LOAD) has been recently described. We developed a PCR assay to analyze this polymorphism in 190 LOAD patients (older than 65 years) and 400 controls from Spain. Controls were stratified into three groups: <65 years (n = 200), 65 to 80 years (n = 100), and 81 years or older (n = 100). We found a significantly higher frequency of carriers of the D allele in patients older than 81 years compared to controls older than 81 years (p = 0.0012). In addition, the frequency of the D allele was significantly lower in controls older than 81 years compared to controls younger than 65 (p = 0.048). Our work suggests that the D allele confers an age-dependent increased risk to develop late-onset Alzheimer's disease.
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Affiliation(s)
- V Alvarez
- Laboratorio Genética Molecular-Instituto Investigación Nefrológica, Hospital Central Asturias, Oviedo, Spain
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Sánchez JM, Franzi L, Collia F, De Díaz SL, Panal M, Dubner M. Cytogenetic study of spontaneous abortions by transabdominal villus sampling and direct analysis of villi. Prenat Diagn 1999; 19:601-3. [PMID: 10419605] [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: 02/13/2023]
Abstract
We report our experience in a cytogenetic study of 93 spontaneous abortions. Specimens were obtained by transabdominal chorionic villus sampling (TACVS) in women requesting prenatal diagnosis by chorionic villus sampling (CVS) but in whom an arrested pregnancy had been diagnosed during the ultrasound examination. Our success rate, i.e. the percentage of cases where we obtained results, was 91. 4 per cent, and the rate of abnormalities-mostly aneuploidies and polyploidies-was 62.3 per cent. In normal cases, masculine:feminine ratio was 1:1. These results confirm those obtained by other groups earlier this decade and allow us to conclude that, for the cytogenetic study of spontaneous abortions, CVS is a better approach than the culture of the products of conception after evacuation, because the success rate is higher and because it provides certainty that the specimens obtained are of fetal origin.
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Affiliation(s)
- J M Sánchez
- Fundación Genos, F. A. de Figueroa 731, 1180 Buenos Aires, Argentina.
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Zarza R, Alvarez R, Pujades A, Nomdedeu B, Carrera A, Estella J, Remacha A, Sánchez JM, Morey M, Cortes T, Pérez Lungmus G, Bureo E, Vives Corrons JL. Molecular characterization of the PK-LR gene in pyruvate kinase deficient Spanish patients. Red Cell Pathology Group of the Spanish Society of Haematology (AEHH). Br J Haematol 1998; 103:377-82. [PMID: 9827908 DOI: 10.1046/j.1365-2141.1998.01013.x] [Citation(s) in RCA: 29] [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: 11/20/2022]
Abstract
The PK-LR gene has been studied in 12 unrelated patients with red cell pyruvate kinase deficiency and hereditary nonspherocytic haemolytic anaemia (CNSHA). The entire codifying region of the R-type PK gene and the flanking intronic regions were analysed by single-stranded conformation polymorphism (SSCP) followed by direct sequencing of abnormal DNA. 10 different mutations were identified in 22/24 alleles at risk. Eight of these were missense mutations that caused the following single amino acid changes: G514C (172Glu-Gln), G1010A (337Arg-Gln), G1015C (339Asp-Gln), T1070C (357Ile-Thr), C1223T (408Thr-Ile), G1291A (431Ala-Thr), C1456T (486Arg-Trp) and G1595A (532Arg-Gln). Two were nonsense mutations: G721T (241Glu-Stop) and C1675T (559Arg-Stop). 7/22 alleles demonstrated the same C1456 --> T mutation. The study of the polymorphic site at nucleotide (nt) 1705 performed in all cases disclosed a 1705 C/C mutation in 10 and a 1705 A/C mutation in three. This is the first report on the presence of several different L-type PK gene mutations within Spanish population. Furthermore, from the PK gene mutations found, six were unique and not previously described (1015C, 1070C, 1223T, 1291A, 1595A and 1675T) and one (C1456T) seems to be predominant in Spain. Interestingly, no case with the 1529A mutation commonly found in Northern European populations was present here.
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Affiliation(s)
- R Zarza
- Haematology Department of Hospital Clinic i Provincial, Barcelona, Spain
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Delgado LJ, Montiel J, Guindo J, Margarit L, Casas I, Ramírez I, Sánchez JM, Bayes de Luna A, Caralps JM. [Myxoma of the left ventricle: a cause of syncope in an adolescent]. Rev Esp Cardiol 1998; 51:674-6. [PMID: 9780783] [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: 02/09/2023]
Abstract
Clinical diagnosis of cardiac tumours is often difficult. We present the case of a 17 year-old boy in whom a left ventricular tumour was discovered during on diagnostic work-up for a syncope. The tumour was removed and histology confirmed the diagnosis of myxoma.
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Affiliation(s)
- L J Delgado
- Departamento de Cirugía Cardíaca y Cardiología, Clínica Quirón, Barcelona
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Sánchez JM, Paniagua I, Valero A. Contribution to the knowledge of Hysterothylacium aduncum through electrophoresis of the enzymes glucose phosphate isomerase and phosphoglucomutase. Parasitol Res 1998; 84:160-3. [PMID: 9493219 DOI: 10.1007/s004360050376] [Citation(s) in RCA: 4] [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: 02/06/2023]
Abstract
A total of 163 Hysterothylacium aduncum specimens, obtained from two gadoids and one percid, were studied by electrophoresis of the enzymes glucose phosphate isomerase and phosphoglucomutase. The two loci deviated significantly from the Hardy-Weinberg equilibrium, both when considering all specimens and when distinguishing the hosts. This could suggest that there is no single species in either case.
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Affiliation(s)
- J M Sánchez
- Department of Parasitology, Faculty of Pharmacy, Granada University, Spain.
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