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Institution

Karolinska Institutet

EducationStockholm, Sweden
About: Karolinska Institutet is a education organization based out in Stockholm, Sweden. It is known for research contribution in the topics: Population & Poison control. The organization has 46212 authors who have published 121142 publications receiving 6008130 citations.


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Journal ArticleDOI
TL;DR: In tissues from null mice, activation of latent matrix metalloproteinase 2 was deficient, suggesting that MT1-MMP is essential for its activation in vivo, and in an in vivo corneal angiogenesis assay, null mice did not have angiogenic response to implanted FGF-2, suggest that the defect inAngiogenesis is not restricted to cartilage alone.
Abstract: Membrane-type matrix metalloproteinase I (MT1-MMP)-deficient mice were found to have severe defects in skeletal development and angiogenesis. The craniofacial, axial, and appendicular skeletons were severely affected, leading to a short and domed skull, marked deceleration of postnatal growth, and death by 3 wk of age. Shortening of bones is a consequence of decreased chondrocyte proliferation in the proliferative zone of the growth plates. Defective vascular invasion of cartilage leads to enlargement of hypertrophic zones of growth plates and delayed formation of secondary ossification centers in long bones. In an in vivo corneal angiogenesis assay, null mice did not have angiogenic response to implanted FGF-2, suggesting that the defect in angiogenesis is not restricted to cartilage alone. In tissues from null mice, activation of latent matrix metalloproteinase 2 was deficient, suggesting that MT1-MMP is essential for its activation in vivo.

801 citations

Journal ArticleDOI
Jeanne E. Savage1, Philip R. Jansen1, Philip R. Jansen2, Sven Stringer1, Kyoko Watanabe1, Julien Bryois3, Christiaan de Leeuw1, Mats Nagel, Swapnil Awasthi4, Peter B. Barr5, Jonathan R. I. Coleman6, Katrina L. Grasby7, Anke R. Hammerschlag1, Jakob Kaminski4, Robert Karlsson3, Eva Krapohl8, Max Lam, Marianne Nygaard9, Chandra A. Reynolds10, Joey W. Trampush11, Hannah Young12, Delilah Zabaneh8, Sara Hägg3, Narelle K. Hansell13, Ida K. Karlsson3, Sten Linnarsson3, Grant W. Montgomery7, Grant W. Montgomery13, Ana B. Muñoz-Manchado3, Erin Burke Quinlan8, Gunter Schumann8, Nathan G. Skene3, Nathan G. Skene14, Bradley T. Webb5, Tonya White2, Dan E. Arking15, Dimitrios Avramopoulos15, Robert M. Bilder16, Panos Bitsios17, Katherine E. Burdick18, Katherine E. Burdick19, Katherine E. Burdick20, Tyrone D. Cannon21, Ornit Chiba-Falek, Andrea Christoforou22, Elizabeth T. Cirulli, Eliza Congdon16, Aiden Corvin23, Gail Davies24, Ian J. Deary24, Pamela DeRosse25, Pamela DeRosse26, Dwight Dickinson27, Srdjan Djurovic28, Srdjan Djurovic29, Gary Donohoe30, Emily Drabant Conley, Johan G. Eriksson31, Thomas Espeseth32, Nelson A. Freimer16, Stella G. Giakoumaki17, Ina Giegling33, Michael Gill23, David C. Glahn21, Ahmad R. Hariri34, Alex Hatzimanolis35, Alex Hatzimanolis36, Matthew C. Keller37, Emma Knowles21, Deborah C. Koltai34, Bettina Konte33, Jari Lahti31, Stephanie Le Hellard28, Todd Lencz26, Todd Lencz25, David C. Liewald24, Edythe D. London16, Astri J. Lundervold28, Anil K. Malhotra26, Anil K. Malhotra25, Ingrid Melle28, Ingrid Melle32, Derek W. Morris30, Anna C. Need38, William Ollier39, Aarno Palotie31, Aarno Palotie19, Aarno Palotie40, Antony Payton39, Neil Pendleton41, Russell A. Poldrack42, Katri Räikkönen31, Ivar Reinvang32, Panos Roussos20, Panos Roussos18, Dan Rujescu33, Fred W. Sabb43, Matthew A. Scult34, Olav B. Smeland32, Nikolaos Smyrnis36, Nikolaos Smyrnis35, John M. Starr24, Vidar M. Steen28, Nikos C. Stefanis35, Nikos C. Stefanis36, Richard E. Straub15, Kjetil Sundet32, Henning Tiemeier2, Aristotle N. Voineskos44, Daniel R. Weinberger15, Elisabeth Widen31, Jin Yu, Gonçalo R. Abecasis45, Ole A. Andreassen32, Gerome Breen6, Lene Christiansen9, Birgit Debrabant9, Danielle M. Dick5, Andreas Heinz4, Jens Hjerling-Leffler3, M. Arfan Ikram46, Kenneth S. Kendler5, Nicholas G. Martin7, Sarah E. Medland7, Nancy L. Pedersen3, Robert Plomin8, Tinca J. C. Polderman1, Stephan Ripke4, Stephan Ripke47, Stephan Ripke19, Sophie van der Sluis, Patrick Sullivan3, Patrick Sullivan48, Scott I. Vrieze12, Margaret J. Wright13, Danielle Posthuma1 
TL;DR: A large-scale genetic association study of intelligence identifies 190 new loci and implicates 939 new genes related to neurogenesis, neuron differentiation and synaptic structure, a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.
Abstract: Intelligence is highly heritable1 and a major determinant of human health and well-being2. Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence3-7, but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.

800 citations

Journal ArticleDOI
TL;DR: The technique has been extensively used in the neurosciences to monitor neurotransmitter release, and is now finding application in monitoring of the chemistry of peripheral tissues in both animal and human studies.
Abstract: . Microdialysis is a technique for sampling the chemistry of the individual tissues and organs of the body, and is applicable to both animal and human studies. The basic principle is to mimic the function of a capillary blood vessel by perfusing a thin dialysis tube implanted into the tissue with a physiological liquid. The perfusate is analysed chemically and reflects the composition of the extracellular fluid with time due to the diffusion of substances back and forth over the membrane. Microdialysis is thus a technique whereby substances may be both recovered from and supplied to a tissue. The most important features of microdialysis are as follows: it samples the extracellular fluid, which is the origin of all blood chemistry; it samples continuously for hours or days without withdrawing blood; and it purifies the sample and simplifies chemical analysis by excluding large molecules from the perfusate. However, the latter feature renders the technique unsuitable for sampling large molecules such as proteins. The technique has been extensively used in the neurosciences to monitor neurotransmitter release, and is now finding application in monitoring of the chemistry of peripheral tissues in both animal and human studies.

799 citations

Journal ArticleDOI
TL;DR: Imputation of functional variation from large reference panels can help fine map association signals in the MHC, and three amino acid positions in HLA-DRβ1, which are all located in peptide-binding grooves, almost completely explain the M HC association to rheumatoid arthritis risk.
Abstract: The genetic association of the major histocompatibility complex (MHC) to rheumatoid arthritis risk has commonly been attributed to alleles in HLA-DRB1. However, debate persists about the identity of the causal variants in HLA-DRB1 and the presence of independent effects elsewhere in the MHC. Using existing genome-wide SNP data in 5,018 individuals with seropositive rheumatoid arthritis (cases) and 14,974 unaffected controls, we imputed and tested classical alleles and amino acid polymorphisms in HLA-A, HLA-B, HLA-C, HLA-DPA1, HLA-DPB1, HLA-DQA1, HLA-DQB1 and HLA-DRB1, as well as 3,117 SNPs across the MHC. Conditional and haplotype analyses identified that three amino acid positions (11, 71 and 74) in HLA-DRβ1 and single-amino-acid polymorphisms in HLA-B (at position 9) and HLA-DPβ1 (at position 9), which are all located in peptide-binding grooves, almost completely explain the MHC association to rheumatoid arthritis risk. This study shows how imputation of functional variation from large reference panels can help fine map association signals in the MHC.

799 citations

Journal ArticleDOI
26 Jul 1996-Science
TL;DR: Complete spinal cord gaps in adult rats were bridged with multiple intercostal nerve grafts that redirected specific pathways from white to gray matter to suggest a possible repair strategy for spinal cord injury.
Abstract: Complete spinal cord gaps in adult rats were bridged with multiple intercostal nerve grafts that redirected specific pathways from white to gray matter. The grafted area was stabilized with fibrin glue containing acidic fibroblast growth factor and by compressive wiring of posterior spinal processes. Hind limb function improved progressively during the first 6 months, as assessed by two scoring systems. The corticospinal tract regenerated through the grafted area to the lumbar enlargement, as did several bulbospinal pathways. These data suggest a possible repair strategy for spinal cord injury.

798 citations


Authors

Showing all 46522 results

NameH-indexPapersCitations
Meir J. Stampfer2771414283776
Albert Hofman2672530321405
Guido Kroemer2361404246571
Eric B. Rimm196988147119
Scott M. Grundy187841231821
Jing Wang1844046202769
Tadamitsu Kishimoto1811067130860
John Hardy1771178171694
Marc G. Caron17367499802
Ramachandran S. Vasan1721100138108
Adrian L. Harris1701084120365
Douglas F. Easton165844113809
Zulfiqar A Bhutta1651231169329
Judah Folkman165499148611
Ralph A. DeFronzo160759132993
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023101
2022500
20217,763
20206,922
20196,057
20185,548