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Nawshirwan S, Heucken N, Piekarek N, van Beers T, Fulgham-Scott N, Grandoch A, Neiss WF, Vogt J, Barham M. Morphological, ultrastructural, genetic characteristics and remarkably low prevalence of macroscopic Sarcocystis species isolated from sheep and goats in Kurdistan region, Iraq. Front Vet Sci 2023; 10:1225796. [PMID: 37841456 PMCID: PMC10569315 DOI: 10.3389/fvets.2023.1225796] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 09/11/2023] [Indexed: 10/17/2023] Open
Abstract
Introduction Sarcocystis is a genus of cyst-forming parasites that infest both humans and livestock. Some parasites cause clinical and subclinical diseases in their hosts, resulting in economic losses. Methods Esophagus, diaphragm, and skeletal muscle from slaughtered sheep and goats were examined macroscopically, microscopically, and ultrastructurally and subjected to DNA analysis. Results We isolated macrocysts of S. gigantea and of S. caprafelis moulei from naturally infected sheep (Ovis aries) and goats (Capra hircus). The macrocyst wall thickness was 18.9 µm in sheep and 15.3 µm in goats, and consisted of an inner Periodic acid Schiff- (PAS) negative primary wall and an outer glycoconjugates containing i.e. PAS-positive secondary wall. The walls inner surface was compartmentalized and filled with bradyzoites. In S. gigantea the bradyzoites were approximently 12.3 x 2.6 µm in size, while in S. caprafelis moulei they were 13.9 x 4.4 µm. Ultrastructurally, both species have nearly identical morphology: cauliflower-like protrusions with numerous microtubules and often dendritic-like filaments, branching from the primary wall. The 18S rRNA gene in S. gigantea was 85.9% identical to that in S. medusiformis and 80.4% to the S. caprafelis moulei gene. The 28S rRNA gene in S. gigantea was 94.6% identical to that in S. medusiformis and 97.3% to the S. caprafelis moulei. Conclusion This study is the first to (i) detail the ultrastructure of the macrocyst wall of S. caprafelis moulei, (ii) identify S. medusiformis in Iraqi sheep, and (iii) compare the prevalence of macroscopic Sarcocystis at different time periods within the same region. A positive finding was the reduction of macroscopic sarcocystosis occurrences (0.01% in sheep and 0.02% in goats) compared to our previous data from 1992 (4.1%: sheep, 33.6%: goats).
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Affiliation(s)
| | - Nicole Heucken
- Department II of Anatomy, Faculty of Medicine, University Hospital Cologne, Cologne, Germany
| | - Nadin Piekarek
- Experimental Medicine, Faculty of Medicine, University Hospital Cologne, Cologne, Germany
| | - Tim van Beers
- Department I of Anatomy, Faculty of Medicine, University Hospital Cologne, Cologne, Germany
| | - Nicole Fulgham-Scott
- Experimental Medicine, Faculty of Medicine, University Hospital Cologne, Cologne, Germany
| | - Andrea Grandoch
- Department for Oral and Craniomaxillofacial and Plastic Surgery, Faculty of Medicine, University of Cologne and University Hospital of Cologne, Cologne, Germany
| | - Wolfram F. Neiss
- Department I of Anatomy, Faculty of Medicine, University Hospital Cologne, Cologne, Germany
| | - Johannes Vogt
- Department II of Anatomy, Faculty of Medicine, University Hospital Cologne, Cologne, Germany
- Cluster of Excellence for Aging Research (CECAD) and Center of Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Mohammed Barham
- Department II of Anatomy, Faculty of Medicine, University Hospital Cologne, Cologne, Germany
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Knierim E, Vogt J, Kintscher M, Ponomarenko A, Baumgart J, Beed P, Korotkova T, Trimbuch T, Panzer A, Steinlein OK, Stephani U, Escayg A, Koko M, Liu Y, Lerche H, Schmitz D, Nitsch R, Schuelke M. Mutations in plasticity-related-gene-1 (PRG-1) protein contribute to hippocampal seizure susceptibility and modify epileptic phenotype. Cereb Cortex 2023:7091604. [PMID: 36977636 DOI: 10.1093/cercor/bhad051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 02/04/2023] [Accepted: 02/05/2023] [Indexed: 03/30/2023] Open
Abstract
The Phospholipid Phosphatase Related 4 gene (PLPPR4, *607813) encodes the Plasticity-Related-Gene-1 (PRG-1) protein. This cerebral synaptic transmembrane-protein modulates cortical excitatory transmission on glutamatergic neurons. In mice, homozygous Prg-1 deficiency causes juvenile epilepsy. Its epileptogenic potential in humans was unknown. Thus, we screened 18 patients with infantile epileptic spasms syndrome (IESS) and 98 patients with benign familial neonatal/infantile seizures (BFNS/BFIS) for the presence of PLPPR4 variants. A girl with IESS had inherited a PLPPR4-mutation (c.896C > G, NM_014839; p.T299S) from her father and an SCN1A-mutation from her mother (c.1622A > G, NM_006920; p.N541S). The PLPPR4-mutation was located in the third extracellular lysophosphatidic acid-interacting domain and in-utero electroporation (IUE) of the Prg-1p.T300S construct into neurons of Prg-1 knockout embryos demonstrated its inability to rescue the electrophysiological knockout phenotype. Electrophysiology on the recombinant SCN1Ap.N541S channel revealed partial loss-of-function. Another PLPPR4 variant (c.1034C > G, NM_014839; p.R345T) that was shown to result in a loss-of-function aggravated a BFNS/BFIS phenotype and also failed to suppress glutamatergic neurotransmission after IUE. The aggravating effect of Plppr4-haploinsufficiency on epileptogenesis was further verified using the kainate-model of epilepsy: double heterozygous Plppr4-/+|Scn1awt|p.R1648H mice exhibited higher seizure susceptibility than either wild-type, Plppr4-/+, or Scn1awt|p.R1648H littermates. Our study shows that a heterozygous PLPPR4 loss-of-function mutation may have a modifying effect on BFNS/BFIS and on SCN1A-related epilepsy in mice and humans.
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Affiliation(s)
- Ellen Knierim
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117 Berlin, Germany
- Department of Neuropediatrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Johannes Vogt
- Department of Molecular and Translational Neuroscience, Institute of Anatomy II, Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases (CECAD), Center of Molecular Medicine Cologne (CMMC), University of Cologne, 50931 Cologne, Germany
| | - Michael Kintscher
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Neuroscience Research Center, 10117 Berlin, Germany
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, 72076 Tübingen, Germany
| | - Alexey Ponomarenko
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Neuroscience Research Center, 10117 Berlin, Germany
- Leibniz-Institut für Molekulare Pharmakologie, 13125 Berlin, Germany
| | - Jan Baumgart
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Institute of Neurophysiology, 10117 Berlin, Germany
- Translational Animal Research Center (TARC), University Medical Center Mainz, 55128 Mainz, Germany
| | - Prateep Beed
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Neuroscience Research Center, 10117 Berlin, Germany
| | - Tatiana Korotkova
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Neuroscience Research Center, 10117 Berlin, Germany
- Leibniz-Institut für Molekulare Pharmakologie, 13125 Berlin, Germany
| | - Thorsten Trimbuch
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Institute of Neurophysiology, 10117 Berlin, Germany
| | - Axel Panzer
- Pediatric Neurology, DRK Kliniken-Westend, 14050 Berlin, Germany
| | - Ortrud K Steinlein
- Institute of Human Genetics, Ludwig-Maximilians-University of Munich, 80336 Munich, Germany
| | - Ulrich Stephani
- Department of Child and Adolescent Medicine II, University Medical Center of Schleswig-Holstein, Campus Kiel, 24105 Kiel, Germany
| | - Andrew Escayg
- Department of Human Genetics, Emory University, Atlanta, GA 30322, United States
| | - Mahmoud Koko
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, 72076 Tübingen, Germany
| | - Yuanyuan Liu
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, 72076 Tübingen, Germany
| | - Holger Lerche
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, 72076 Tübingen, Germany
| | - Dietmar Schmitz
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117 Berlin, Germany
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Neuroscience Research Center, 10117 Berlin, Germany
- Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience, 10115 Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125 Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE) Berlin, 10117 Berlin, Germany
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Einstein Center for Neuroscience, 10117 Berlin, Germany
| | - Robert Nitsch
- Institute for Translational Neuroscience, Westfälische Wilhelms University, 48149 Münster, Germany
| | - Markus Schuelke
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117 Berlin, Germany
- Department of Neuropediatrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
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Barham M, Andermahr J, Majczyński H, Sławińska U, Vogt J, Neiss WF. Treadmill training of rats after sciatic nerve graft does not alter accuracy of muscle reinnervation. Front Neurol 2023; 13:1050822. [PMID: 36742044 PMCID: PMC9893025 DOI: 10.3389/fneur.2022.1050822] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 12/23/2022] [Indexed: 01/20/2023] Open
Abstract
Background and purpose After peripheral nerve lesions, surgical reconstruction facilitates axonal regeneration and motor reinnervation. However, functional recovery is impaired by aberrant reinnervation. Materials and methods We tested whether training therapy by treadmill exercise (9 × 250 m/week) before (run-idle), after (idle-run), or both before and after (run-run) sciatic nerve graft improves the accuracy of reinnervation in rats. Female Lewis rats (LEW/SsNHsd) were either trained for 12 weeks (run) or not trained (kept under control conditions, idle). The right sciatic nerves were then excised and reconstructed with 5 mm of a congenic allograft. One week later, training started in the run-run and idle-run groups for another 12 weeks. No further training was conducted in the run-idle and idle-idle groups. Reinnervation was measured using the following parameters: counting of retrogradely labeled motoneurons, walking track analysis, and compound muscle action potential (CMAP) recordings. Results In intact rats, the common fibular (peroneal) and the soleus nerve received axons from 549 ± 83 motoneurons. In the run-idle group, 94% of these motoneurons had regenerated 13 weeks after the nerve graft. In the idle-run group, 81% of the normal number of motoneurons had regenerated into the denervated musculature and 87% in both run-run and idle-idle groups. Despite reinnervation, functional outcome was poor: walking tracks indicated no functional improvement of motion in any group. However, in the operated hindlimb of run-idle rats, the CMAP of the soleus muscle reached 11.9 mV (normal 16.3 mV), yet only 6.3-8.1 mV in the other groups. Conclusion Treadmill training neither altered the accuracy of reinnervation nor the functional recovery, and pre-operative training (run-idle) led to a higher motor unit activation after regeneration.
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Affiliation(s)
- Mohammed Barham
- Department II of Anatomy, University of Cologne and University Hospital of Cologne, Cologne, Germany,*Correspondence: Mohammed Barham ✉
| | | | - Henryk Majczyński
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warszawa, Poland
| | - Urszula Sławińska
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warszawa, Poland
| | - Johannes Vogt
- Department II of Anatomy, University of Cologne and University Hospital of Cologne, Cologne, Germany,Cluster of Excellence for Aging Research (CECAD) and Center of Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Wolfram F. Neiss
- Department I of Anatomy, University of Cologne and University Hospital of Cologne, Cologne, Germany
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4
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Gonzalez-Escamilla G, Chirumamilla VC, Koirala N, Anwar AR, Tüscher O, Vogt J, Horstmann P, Meyer B, Bonanno GA, Groppa S, Muthuraman M. Modular segregation drives causality of the dynamic oscillatory network responses during threat processing. Brain Commun 2023; 5:fcad035. [PMID: 36895959 PMCID: PMC9989139 DOI: 10.1093/braincomms/fcad035] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 10/06/2022] [Accepted: 02/15/2023] [Indexed: 02/18/2023] Open
Abstract
Physiological responses to threat and stress stimuli entrain synchronized neural oscillations among cerebral networks. Network architecture and adaptation may play a critical role in achieving optimal physiological responses, while alteration can lead to mental dysfunction. We reconstructed cortical and sub-cortical source time series from high-density electroencephalography, which were then fed into community architecture analysis. Dynamic alterations were evaluated in terms of flexibility, clustering coefficient and global and local efficiency, as parameters of community allegiance. Transcranial magnetic stimulation was applied over the dorsomedial prefrontal cortex during the time window relevant for physiological threat processing and effective connectivity was computed to test the causality of network dynamics. A theta band-driven community re-organization was evident in key anatomical regions conforming the central executive, salience network and default mode networks during instructed threat processing. Increased network flexibility entrained the physiological responses to threat processing. The effective connectivity analysis showed that information flow differed between theta and alpha bands and were modulated by transcranial magnetic stimulation in salience and default mode networks during threat processing. Theta oscillations drive dynamic community network re-organization during threat processing. Nodal community switches may modulate the directionality of information flow and determine physiological responses relevant to mental health.
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Affiliation(s)
- Gabriel Gonzalez-Escamilla
- Section of Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing unit, Department of Neurology, Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Venkata C Chirumamilla
- Section of Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing unit, Department of Neurology, Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Nabin Koirala
- Section of Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing unit, Department of Neurology, Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany.,Haskins Laboratories, Yale University, New Haven 06511, USA
| | - Abdul R Anwar
- Biomedical Engineering Centre, University of Engineering & Technology, Lahore (KSK Campus), Lahore, Punjab 39161, Pakistan
| | - Oliver Tüscher
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Johannes Vogt
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Phillip Horstmann
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Benjamin Meyer
- Neuroimaging Center, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - George A Bonanno
- Department of Clinical Psychology, Teachers College, Columbia University, New York 10027, USA
| | - Sergiu Groppa
- Section of Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing unit, Department of Neurology, Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Muthuraman Muthuraman
- Section of Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing unit, Department of Neurology, Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
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5
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Polzin A, Dannenberg L, Schroeder N, Benkhoff M, Vogt J, Keul P, Weske S, Sarabhai T, Zeus T, Mueller T, Wolnitzke P, Graele M, Roden M, Kelm M, Levkau B. Impaired Cardioprotection by HDL in CAD and Diabetes in Ischemia/Reperfusion Injury: role of S1P and SR-BI. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
HDL dysfunction rather than HDL-cholesterol concentration is involved in the pathogenesis of coronary artery disease (CAD) and type-2 diabetes (T2DM). While causes and consequences of HDL dysfunction are manifold, reduced concentrations of HDL-sphingosine-1-phsophate (S1P) are partially responsible for impaired vasodilation and suppression of inflammation by CAD-HDL. Administration of healthy human HDL prior to coronary ischemia/reperfusion (I/R) in mice reduced infarct size (IS) due to HDL-S1P. The role of major HDL receptor SR-BI is unexplored in this context.
Purpose
In this study, we, a) investigated the cardioprotective properties of healthy versus CAD-HDL and T2DM-HDL in a murine model of acute myocardial infarction (AMI), b) tested the effect of S1P loading of CAD-HDL in cardioprotection, and c) detected the relevant HDL receptor of this cardioprotection.
Methods
HDL were isolated from plasma of healthy volunteers, CAD, and T2DM patients by density ultra-centrifugation and injected (43 mg HDL protein/KG) in the tail vein of C57Bl/6J mice 5 minutes prior to 30 minutes of ischemia. Cardiac function was assessed after 24 hours of reperfusion by echocardiography. IS was analyzed by TTC staining and S1P concentration measured by LC-MS/MS, respectively.
Results
Administration of human healthy HDL reduced IS by 23% and increased ejection fraction (EF) by 22% 24 hours after I/R (IS: Control 43.8±6.9% [n=17] vs. healthy HDL 32.9±3.6% [n=9]; EF: Control 34.5±5.7% vs. healthy HDL 41.9±4.1%). In contrast, CAD-HDL in the same dosage had no protective effect (IS: 40.1±5.7% [n=12]; EF: 31.9±8.4%). As HDL-S1P concentrations were 33% lower in CAD-HDL compared to healthy HDL, we tested whether S1P-loading may correct CAD-HDL's defective cardioprotection. Indeed, S1P-loading (38 μg S1P/kg in 43 mg HDL protein/KG) completely restored CAD-HDL cardioprotection to levels achieved by healthy HDL. S1P-loading of healthy HDL had no additional benefit. Administration of T2DM-HDL prior to I/R led to 28% larger IS and 22% worse EF compared to healthy HDL (IS: healthy HDL 33.0±4.3% [n=6] vs. T2DM-HDL 42.4±8.9% [n=13]; EF: healthy HDL 38.5±5.8% [n=6] vs. T2DM-HDL 33.1±.4.0%). Compared to healthy HDL, T2DM-HDL exhibited a 19% decrease in S1P content. We thus tested whether the major HDL receptor SR-BI is involved in HDL-S1P mediated cardioprotection using global SR-BI deficient mice (Scarb1−/−). Remarkably, cardioprotection by HDL administration was completely absent in Scarb1−/− mice but intact in wild type controls. (IS Scarb1++: Vehicle 38.6±8.3% [n=12] vs. HDL 29.9±8.5% [n=11], Scarb1−/−: Vehicle 31.4±5.6% [n=12] vs. HDL 31.1±6.9% [n=17])
Conclusion
We have identified: (a) impaired cardioprotection after I/R as new characteristic of HDL dysfunction in CAD and T2DM; (b) low HDL-S1P as its cause and the possibility of its therapeutic correction by S1P loading, and (c) SR-BI as the HDL receptor responsible for HDL-S1P-mediated cardioprotection.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- A Polzin
- Heinrich Heine University, Department of Cardiology, Pulmonology, and Vascular Medicine , Duesseldorf , Germany
| | - L Dannenberg
- Heinrich Heine University, Department of Cardiology, Pulmonology, and Vascular Medicine , Duesseldorf , Germany
| | - N Schroeder
- Heinrich Heine University, Institute of Molecular Medicine III , Duesseldorf , Germany
| | - M Benkhoff
- Heinrich Heine University, Department of Cardiology, Pulmonology, and Vascular Medicine , Duesseldorf , Germany
| | - J Vogt
- Heinrich Heine University, Institute of Molecular Medicine III , Duesseldorf , Germany
| | - P Keul
- Heinrich Heine University, Institute of Molecular Medicine III , Duesseldorf , Germany
| | - S Weske
- Heinrich Heine University, Institute of Molecular Medicine III , Duesseldorf , Germany
| | - T Sarabhai
- Heinrich Heine University, Department of Endocrinology and Diabetology , Duesseldorf , Germany
| | - T Zeus
- Heinrich Heine University, Department of Cardiology, Pulmonology, and Vascular Medicine , Duesseldorf , Germany
| | - T Mueller
- University Hospital Jena, Department of Anesthesiology and Intensive Care , Jena , Germany
| | - P Wolnitzke
- Heinrich Heine University, Institute of Molecular Medicine III , Duesseldorf , Germany
| | - M Graele
- University Hospital Jena, Department of Anesthesiology and Intensive Care , Jena , Germany
| | - M Roden
- Heinrich Heine University, Department of Endocrinology and Diabetology , Duesseldorf , Germany
| | - M Kelm
- Heinrich Heine University, Department of Cardiology, Pulmonology, and Vascular Medicine , Duesseldorf , Germany
| | - B Levkau
- Heinrich Heine University, Institute of Molecular Medicine III , Duesseldorf , Germany
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6
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Hanuscheck N, Thalman C, Domingues M, Schmaul S, Muthuraman M, Hetsch F, Ecker M, Endle H, Oshaghi M, Martino G, Kuhlmann T, Bozek K, van Beers T, Bittner S, von Engelhardt J, Vogt J, Vogelaar CF, Zipp F. Interleukin-4 receptor signaling modulates neuronal network activity. J Exp Med 2022; 219:213227. [PMID: 35587822 PMCID: PMC9123307 DOI: 10.1084/jem.20211887] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 12/13/2021] [Accepted: 04/29/2022] [Indexed: 11/25/2022] Open
Abstract
Evidence is emerging that immune responses not only play a part in the central nervous system (CNS) in diseases but may also be relevant for healthy conditions. We discovered a major role for the interleukin-4 (IL-4)/IL-4 receptor alpha (IL-4Rα) signaling pathway in synaptic processes, as indicated by transcriptome analysis in IL-4Rα–deficient mice and human neurons with/without IL-4 treatment. Moreover, IL-4Rα is expressed presynaptically, and locally available IL-4 regulates synaptic transmission. We found reduced synaptic vesicle pools, altered postsynaptic currents, and a higher excitatory drive in cortical networks of IL-4Rα–deficient neurons. Acute effects of IL-4 treatment on postsynaptic currents in wild-type neurons were mediated via PKCγ signaling release and led to increased inhibitory activity supporting the findings in IL-4Rα–deficient neurons. In fact, the deficiency of IL-4Rα resulted in increased network activity in vivo, accompanied by altered exploration and anxiety-related learning behavior; general learning and memory was unchanged. In conclusion, neuronal IL-4Rα and its presynaptic prevalence appear relevant for maintaining homeostasis of CNS synaptic function.
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Affiliation(s)
- Nicholas Hanuscheck
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Carine Thalman
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Micaela Domingues
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Samantha Schmaul
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Florian Hetsch
- Institute for Pathophysiology, Focus Program Translational Neuroscience, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Manuela Ecker
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Heiko Endle
- Department of Molecular and Translational Neuroscience, Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases and Center of Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Mohammadsaleh Oshaghi
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Gianvito Martino
- Neuroimmunology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute and Vita Salute San Raffaele University, Milan, Italy
| | - Tanja Kuhlmann
- Institute for Neuropathology, University Hospital Münster, Münster, Germany
| | - Katarzyna Bozek
- Center for Molecular Medicine, Faculty of Medicine and University Hospital Cologne; University of Cologne, Cologne, Germany
| | - Tim van Beers
- Molecular Cell Biology, Institute I of Anatomy, University of Cologne, Cologne, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Jakob von Engelhardt
- Institute for Pathophysiology, Focus Program Translational Neuroscience, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Johannes Vogt
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.,Department of Molecular and Translational Neuroscience, Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases and Center of Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Christina Francisca Vogelaar
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
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7
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Endle H, Horta G, Stutz B, Muthuraman M, Tegeder I, Schreiber Y, Snodgrass IF, Gurke R, Liu ZW, Sestan-Pesa M, Radyushkin K, Streu N, Fan W, Baumgart J, Li Y, Kloss F, Groppa S, Opel N, Dannlowski U, Grabe HJ, Zipp F, Rácz B, Horvath TL, Nitsch R, Vogt J. AgRP neurons control feeding behaviour at cortical synapses via peripherally derived lysophospholipids. Nat Metab 2022; 4:683-692. [PMID: 35760867 PMCID: PMC9940119 DOI: 10.1038/s42255-022-00589-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 05/17/2022] [Indexed: 01/13/2023]
Abstract
Phospholipid levels are influenced by peripheral metabolism. Within the central nervous system, synaptic phospholipids regulate glutamatergic transmission and cortical excitability. Whether changes in peripheral metabolism affect brain lipid levels and cortical excitability remains unknown. Here, we show that levels of lysophosphatidic acid (LPA) species in the blood and cerebrospinal fluid are elevated after overnight fasting and lead to higher cortical excitability. LPA-related cortical excitability increases fasting-induced hyperphagia, and is decreased following inhibition of LPA synthesis. Mice expressing a human mutation (Prg-1R346T) leading to higher synaptic lipid-mediated cortical excitability display increased fasting-induced hyperphagia. Accordingly, human subjects with this mutation have higher body mass index and prevalence of type 2 diabetes. We further show that the effects of LPA following fasting are under the control of hypothalamic agouti-related peptide (AgRP) neurons. Depletion of AgRP-expressing cells in adult mice decreases fasting-induced elevation of circulating LPAs, as well as cortical excitability, while blunting hyperphagia. These findings reveal a direct influence of circulating LPAs under the control of hypothalamic AgRP neurons on cortical excitability, unmasking an alternative non-neuronal route by which the hypothalamus can exert a robust impact on the cortex and thereby affect food intake.
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Affiliation(s)
- Heiko Endle
- Department of Molecular and Translational Neuroscience of Anatomy II, University of Cologne, Cologne, Germany
- Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases, Center of Molecular Medicine Cologne, University of Cologne, Cologne, Germany
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Guilherme Horta
- Focus Program Translational Neuroscience, Johannes Gutenberg-University, Mainz, Germany
- Translational Animal Research Center, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
- Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University, Mainz, Germany
| | - Bernardo Stutz
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Irmgard Tegeder
- Institute of Clinical Pharmacology, Goethe-University, Frankfurt am Main, Germany
| | - Yannick Schreiber
- Fraunhofer Institute for Translational Medicine and Pharmacology and Fraunhofer Cluster of Excellence for Immune Mediated Diseases, Frankfurt am Main, Germany
| | - Isabel Faria Snodgrass
- Fraunhofer Institute for Translational Medicine and Pharmacology and Fraunhofer Cluster of Excellence for Immune Mediated Diseases, Frankfurt am Main, Germany
| | - Robert Gurke
- Fraunhofer Institute for Translational Medicine and Pharmacology and Fraunhofer Cluster of Excellence for Immune Mediated Diseases, Frankfurt am Main, Germany
| | - Zhong-Wu Liu
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Matija Sestan-Pesa
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Konstantin Radyushkin
- Focus Program Translational Neuroscience, Johannes Gutenberg-University, Mainz, Germany
- Translational Animal Research Center, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Nora Streu
- Focus Program Translational Neuroscience, Johannes Gutenberg-University, Mainz, Germany
| | - Wei Fan
- Focus Program Translational Neuroscience, Johannes Gutenberg-University, Mainz, Germany
| | - Jan Baumgart
- Translational Animal Research Center, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Yan Li
- Transfer Group Antiinfectives, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany
| | - Florian Kloss
- Transfer Group Antiinfectives, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Nils Opel
- Institute of Translational Psychiatry, Westfälische Wilhelms University, Münster, Germany
| | - Udo Dannlowski
- Institute of Translational Psychiatry, Westfälische Wilhelms University, Münster, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Bence Rácz
- Department of Anatomy and Histology, University of Veterinary Medicine, Budapest, Hungary
| | - Tamas L Horvath
- Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases, Center of Molecular Medicine Cologne, University of Cologne, Cologne, Germany.
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.
- Department of Anatomy and Histology, University of Veterinary Medicine, Budapest, Hungary.
| | - Robert Nitsch
- Institute for Translational Neuroscience, Westfälische Wilhelms University, Münster, Germany.
| | - Johannes Vogt
- Department of Molecular and Translational Neuroscience of Anatomy II, University of Cologne, Cologne, Germany.
- Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases, Center of Molecular Medicine Cologne, University of Cologne, Cologne, Germany.
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
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8
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Barham M, Streppel M, Guntinas-Lichius O, Fulgham-Scott N, Vogt J, Neiss WF. Treatment With Nimodipine or FK506 After Facial Nerve Repair Neither Improves Accuracy of Reinnervation Nor Recovery of Mimetic Function in Rats. Front Neurosci 2022; 16:895076. [PMID: 35645727 PMCID: PMC9136327 DOI: 10.3389/fnins.2022.895076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose Nimodipine and FK506 (Tacrolimus) are drugs that have been reported to accelerate peripheral nerve regeneration. We therefore tested these substances aiming to improve the final functional outcome of motoric reinnervation after facial nerve injury. Methods In 18 female rats, the transected facial nerve was repaired by an artificial nerve conduit. The rats were then treated with either placebo, nimodipine, or FK506, for 56 days. Facial motoneurons were pre-operatively double-labeled by Fluoro-Gold and again 56 days post-operation by Fast-Blue to measure the cytological accuracy of reinnervation. The whisking motion of the vibrissae was analyzed to assess the quality of functional recovery. Results On the non-operated side, 93–97% of those facial nerve motoneurons innervating the vibrissae were double-labeled. On the operated side, double-labeling only amounted to 38% (placebo), 40% (nimodipine), and 39% (FK506), indicating severe misdirection of reinnervation. Regardless of post-operative drug or placebo therapy, the whisking frequency reached 83–100% of the normal value (6.0 Hz), but whisking amplitude was reduced to 33–48% while whisking velocity reached 39–66% of the normal values. Compared to placebo, statistically neither nimodipine nor FK506 improved accuracy of reinnervation and function recovery. Conclusion Despite previous, positive data on the speed and quantity of axonal regeneration, nimodipine and FK506 do not improve the final functional outcome of motoric reinnervation in rats.
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Affiliation(s)
- Mohammed Barham
- Department II of Anatomy, Faculty of Medicine, University of Cologne and University Hospital of Cologne, Cologne, Germany
- *Correspondence: Mohammed Barham,
| | - Michael Streppel
- Department of Ear, Nose and Throat-Department (ENT), PAN-Clinic at Neumarkt, Cologne, Germany
| | | | - Nicole Fulgham-Scott
- Department I of Anatomy, Faculty of Medicine, University of Cologne and University Hospital of Cologne, Cologne, Germany
| | - Johannes Vogt
- Department II of Anatomy, Faculty of Medicine, University of Cologne and University Hospital of Cologne, Cologne, Germany
| | - Wolfram F. Neiss
- Department I of Anatomy, Faculty of Medicine, University of Cologne and University Hospital of Cologne, Cologne, Germany
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9
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Bitar L, Uphaus T, Thalman C, Muthuraman M, Gyr L, Ji H, Domingues M, Endle H, Groppa S, Steffen F, Koirala N, Fan W, Ibanez L, Heitsch L, Cruchaga C, Lee JM, Kloss F, Bittner S, Nitsch R, Zipp F, Vogt J. Inhibition of the enzyme autotaxin reduces cortical excitability and ameliorates the outcome in stroke. Sci Transl Med 2022; 14:eabk0135. [PMID: 35442704 DOI: 10.1126/scitranslmed.abk0135] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [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: 12/16/2022]
Abstract
Stroke penumbra injury caused by excess glutamate is an important factor in determining stroke outcome; however, several therapeutic approaches aiming to rescue the penumbra have failed, likely due to unspecific targeting and persistent excitotoxicity, which continued far beyond the primary stroke event. Synaptic lipid signaling can modulate glutamatergic transmission via presynaptic lysophosphatidic acid (LPA) 2 receptors modulated by the LPA-synthesizing molecule autotaxin (ATX) present in astrocytic perisynaptic processes. Here, we detected long-lasting increases in brain ATX concentrations after experimental stroke. In humans, cerebrospinal fluid ATX concentration was increased up to 14 days after stroke. Using astrocyte-specific deletion and pharmacological inhibition of ATX at different time points after experimental stroke, we showed that inhibition of LPA-related cortical excitability improved stroke outcome. In transgenic mice and in individuals expressing a single-nucleotide polymorphism that increased LPA-related glutamatergic transmission, we found dysregulated synaptic LPA signaling and subsequent negative stroke outcome. Moreover, ATX inhibition in the animal model ameliorated stroke outcome, suggesting that this approach might have translational potential for improving the outcome after stroke.
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Affiliation(s)
- Lynn Bitar
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Timo Uphaus
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Carine Thalman
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Luzia Gyr
- Transfer Group Anti-Infectives, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, 07745 Jena, Germany
| | - Haichao Ji
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
- Department of Molecular and Translational Neuroscience, Cologne Excellence Cluster for Stress Responses in Aging-Associated Diseases (CECAD), Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany
| | - Micaela Domingues
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Heiko Endle
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
- Department of Molecular and Translational Neuroscience, Cologne Excellence Cluster for Stress Responses in Aging-Associated Diseases (CECAD), Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Falk Steffen
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Nabin Koirala
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Wei Fan
- Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Laura Ibanez
- Department of Psychiatry, Department of Neurology, NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Laura Heitsch
- Department of Emergency Medicine, Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Department of Neurology, NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jin-Moo Lee
- Department of Neurology, Radiology, and Biomedical Engineering, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Florian Kloss
- Transfer Group Anti-Infectives, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, 07745 Jena, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Robert Nitsch
- Institute of Translational Neuroscience, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Johannes Vogt
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
- Department of Molecular and Translational Neuroscience, Cologne Excellence Cluster for Stress Responses in Aging-Associated Diseases (CECAD), Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany
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10
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Ye L, Ji H, Liu J, Tu CH, Kappl M, Koynov K, Vogt J, Butt HJ. Carbon Nanotube-Hydrogel Composites Facilitate Neuronal Differentiation While Maintaining Homeostasis of Network Activity. Adv Mater 2021; 33:e2102981. [PMID: 34453367 DOI: 10.1002/adma.202102981] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [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: 04/20/2021] [Revised: 07/02/2021] [Indexed: 06/13/2023]
Abstract
It is often assumed that carbon nanotubes (CNTs) stimulate neuronal differentiation by transferring electrical signals and enhancing neuronal excitability. Given this, CNT-hydrogel composites are regarded as potential materials able to combine high electrical conductivity with biocompatibility, and therefore promote nerve regeneration. However, whether CNT-hydrogel composites actually influence neuronal differentiation and maturation, and how they do so remain elusive. In this study, CNT-hydrogel composites are prepared by in situ polymerization of poly(ethylene glycol) around a preformed CNT meshwork. It is demonstrated that the composites facilitate long-term survival and differentiation of pheochromocytoma 12 cells. Adult neural stem cells cultured on the composites show an increased neuron-to-astrocyte ratio and higher synaptic connectivity. Moreover, primary hippocampal neurons cultured on composites maintain morphological synaptic features as well as their neuronal network activity evaluated by spontaneous calcium oscillations, which are comparable to neurons cultured under control conditions. These results indicate that the composites are promising materials that could indeed facilitate neuronal differentiation while maintaining neuronal homeostasis.
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Affiliation(s)
- Lijun Ye
- Department of Physics at Interfaces, Max-Planck-Institute for Polymer Research, 55128, Mainz, Germany
| | - Haichao Ji
- Department of Molecular and Translational Neurosciences, CECAD - Center of Excellence, CMMK - Center of Molecular Medicine Cologne, University of Cologne, 50923, Cologne, Germany
| | - Jie Liu
- Department of Physics at Interfaces, Max-Planck-Institute for Polymer Research, 55128, Mainz, Germany
| | - Chien-Hua Tu
- Department of Physics at Interfaces, Max-Planck-Institute for Polymer Research, 55128, Mainz, Germany
| | - Michael Kappl
- Department of Physics at Interfaces, Max-Planck-Institute for Polymer Research, 55128, Mainz, Germany
| | - Kaloian Koynov
- Department of Physics at Interfaces, Max-Planck-Institute for Polymer Research, 55128, Mainz, Germany
| | - Johannes Vogt
- Department of Molecular and Translational Neurosciences, CECAD - Center of Excellence, CMMK - Center of Molecular Medicine Cologne, University of Cologne, 50923, Cologne, Germany
| | - Hans-Jürgen Butt
- Department of Physics at Interfaces, Max-Planck-Institute for Polymer Research, 55128, Mainz, Germany
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11
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Iwama T, Kano K, Saigusa D, Ekroos K, van Echten-Deckert G, Vogt J, Aoki J. Development of an On-Tissue Derivatization Method for MALDI Mass Spectrometry Imaging of Bioactive Lipids Containing Phosphate Monoester Using Phos-tag. Anal Chem 2021; 93:3867-3875. [PMID: 33577289 DOI: 10.1021/acs.analchem.0c04479] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Matrix-assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) is an emerging label-free method for mapping the distribution of diverse molecular species in tissue sections. Despite recent progress in MALDI-MSI analyses of lipids, it is still difficult to visualize minor bioactive lipids including lysophosphatidic acid (LPA) and sphingosine-1-phosphate (S1P). Here, we have developed a novel on-tissue derivatization method using Phos-tag, a zinc complex that specifically binds to a phosphate monoester group. MALDI-MSI with Phos-tag derivatization made it possible to image LPA and S1P in the murine brain. Furthermore, we were able to visualize other low-abundance lipids containing phosphate monoester, such as phosphatidic acid and ceramide-1-phosphate. Compared with conventional MALDI-MS, this derivatization produced LPA images with high spatial accuracy discriminating LPA artificially produced during MALDI-MS analysis. In mice with deficiencies in enzymes that degrade LPA and S1P, we observed marked S1P and/or LPA accumulation in specific regions of the brain. Thus, the present study provides a simple and optimal way to reveal the spatial localization of potent bioactive lipid phosphates such as LPA and S1P in tissues.
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Affiliation(s)
- Taiga Iwama
- Department of Health Chemistry, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-8654, Japan.,Laboratory of Molecular and Cellular Biochemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai980-8577, Japan
| | - Kuniyuki Kano
- Department of Health Chemistry, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-8654, Japan.,Laboratory of Molecular and Cellular Biochemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai980-8577, Japan.,AMED-LEAP, Tokyo100-0004, Japan
| | - Daisuke Saigusa
- AMED-LEAP, Tokyo100-0004, Japan.,Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai980-8577, Japan.,Medical Biochemistry, Tohoku University School of Medicine, Sendai 980-8575, Japan
| | - Kim Ekroos
- Lipidomics Consulting Ltd., 02230 Espoo, Finland
| | | | - Johannes Vogt
- Department of Molecular and Translational Neurosciences, University Medical Hospital, University of Cologne, 50923 Cologne, Germany
| | - Junken Aoki
- Department of Health Chemistry, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-8654, Japan.,Laboratory of Molecular and Cellular Biochemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai980-8577, Japan.,AMED-LEAP, Tokyo100-0004, Japan
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12
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Buhl S, Vogt J, Stich A, Brückner R, Bulitta C. Integration of antimicrobial substances in 3-D printed plastics. Current Directions in Biomedical Engineering 2020. [DOI: 10.1515/cdbme-2020-3075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
The risk of healthcare associated infections (HAI) is rising with the utilization of more complex medical devices. Cleaning and disinfecting measures of such devices are often insufficient leading to an increased microbiological contamination on these devices. Recent studies imply that antimicrobial coatings could present a solution for this topic. In this work a novel approach for the introduction of an antimicrobial technology into plastic granulate was tested. After 3-D printing the antimicrobial activity of the test samples was analysed. Our results show that the integration of an antimicrobial substance to ABS plastic is feasible only with sophisticated plastic processing technologies. Simple heating or mixing of the substance did not allow integration of the antimicrobial substance into the 3-D printed sample, but it was possible to integrate the antimicrobial ingredient into the raw material by compounding. The printed test samples showed strong antimicrobial activity in the standardized test procedures.
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Affiliation(s)
- Sebastian Buhl
- University of Applied Science Amberg-Weiden , Hetzenrichter Weg 15, Germany
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13
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Giordano MC, Tzschoppe M, Barelli M, Vogt J, Huck C, Canepa F, Pucci A, Buatier de Mongeot F. Self-Organized Nanorod Arrays for Large-Area Surface-Enhanced Infrared Absorption. ACS Appl Mater Interfaces 2020; 12:11155-11162. [PMID: 32049480 DOI: 10.1021/acsami.9b19719] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Capabilities of highly sensitive surface-enhanced infrared absorption (SEIRA) spectroscopy are demonstrated by exploiting large-area templates (cm2) based on self-organized (SO) nanorod antennas. We engineered highly dense arrays of gold nanorod antennas featuring polarization-sensitive localized plasmon resonances, tunable over a broadband near- and mid-infrared (IR) spectrum, in overlap with the so-called "functional group" window. We demonstrate polarization-sensitive SEIRA activity, homogeneous over macroscopic areas and stable in time, by exploiting prototype self-assembled monolayers of IR-active octadecanthiol (ODT) molecules. The strong coupling between the plasmonic excitation and molecular stretching modes gives rise to characteristic Fano resonances in SEIRA. The SO engineering of the active hotspots in the arrays allows us to achieve signal amplitude improved up to 5.7%. This figure is competitive to the response of lithographic nanoantennas and is stable when the optical excitation spot varies from the micro- to macroscale, thus enabling highly sensitive SEIRA spectroscopy with cost-effective nanosensor devices.
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Affiliation(s)
- M C Giordano
- Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146 Genova, Italy
| | - M Tzschoppe
- Kirchhoff Institute for Physics, University of Heidelberg, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany
| | - M Barelli
- Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146 Genova, Italy
| | - J Vogt
- Kirchhoff Institute for Physics, University of Heidelberg, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany
| | - C Huck
- Kirchhoff Institute for Physics, University of Heidelberg, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany
| | - F Canepa
- Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146 Genova, Italy
| | - A Pucci
- Kirchhoff Institute for Physics, University of Heidelberg, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany
| | - F Buatier de Mongeot
- Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146 Genova, Italy
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14
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Vogt J, Kloosterman H, Vermeent S, Van Elswijk G, Dotsch R, Schmand B. Automated scoring of the Rey-Osterrieth Complex Figure Test using a deep-learning algorithm. Arch Clin Neuropsychol 2019. [DOI: 10.1093/arclin/acz035.04] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Objective
To validate a fully automated scoring algorithm for the Rey-Osterrieth Complex Figure Test (ROCFT) by comparing the scoring results of the algorithm to the results of human raters.
Method
The algorithm consisted of a cascade of deep neural networks which were trained on human rater scores to extract the 18 segments of the figure, and to quantify the patient’s performance. Algorithm results were compared to six expert raters for 303 drawings. We tested whether the average correlation between algorithm scores and scores by all human raters was equivalent to the average inter-rater correlation (with equality bound Δr < .05). The immediate and delayed recall trial were used; the copy trial showed a strong ceiling effect.
Results
The mean Pearson correlation between raters was .94 (SD = 0.01). The correlation between to algorithm and the raters was .88 (SD = 0.02). A two-one-sided t-tests (TOST) equivalence test showed that these correlations were not strictly equivalent, t(5) = 4.02, p = .995, 95% CI [0.35, 0.52].
Conclusions
Although not strictly equivalent to human ratings, the algorithm’s performance is high, approaching a level of reliability found among human raters. We expect that improved individual segment detection will bring the algorithm scoring accuracy on par with that of human raters. Algorithmic scoring of the ROCFT will likely save valuable time and lead to higher levels of standardization in clinical practice.
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15
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Gonzalez-Escamilla G, Muthuraman M, Chirumamilla VC, Vogt J, Groppa S. Brain Networks Reorganization During Maturation and Healthy Aging-Emphases for Resilience. Front Psychiatry 2018; 9:601. [PMID: 30519196 PMCID: PMC6258799 DOI: 10.3389/fpsyt.2018.00601] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 10/29/2018] [Indexed: 12/31/2022] Open
Abstract
Maturation and aging are important life periods that are linked to drastic brain reorganization processes which are essential for mental health. However, the development of generalized theories for delimiting physiological and pathological brain remodeling through life periods linked to healthy states and resilience on one side or mental dysfunction on the other remains a challenge. Furthermore, important processes of preservation and compensation of brain function occur continuously in the cerebral brain networks and drive physiological responses to life events. Here, we review research on brain reorganization processes across the lifespan, demonstrating brain circuits remodeling at the structural and functional level that support mental health and are parallelized by physiological trajectories during maturation and healthy aging. We show evidence that aberrations leading to mental disorders result from the specific alterations of cerebral networks and their pathological dynamics leading to distinct excitability patterns. We discuss how these series of large-scale responses of brain circuits can be viewed as protective or malfunctioning mechanisms for the maintenance of mental health and resilience.
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Affiliation(s)
| | - Muthuraman Muthuraman
- Department of Neurology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Venkata C. Chirumamilla
- Department of Neurology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Johannes Vogt
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sergiu Groppa
- Department of Neurology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
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16
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Ellwardt E, Pramanik G, Luchtman D, Novkovic T, Jubal ER, Vogt J, Arnoux I, Vogelaar CF, Mandal S, Schmalz M, Barger Z, Ruiz de Azua I, Kuhlmann T, Lutz B, Mittmann T, Bittner S, Zipp F, Stroh A. Publisher Correction: Maladaptive cortical hyperactivity upon recovery from experimental autoimmune encephalomyelitis. Nat Neurosci 2018; 22:144. [PMID: 30405214 DOI: 10.1038/s41593-018-0274-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
In the version of this article initially published, Inigo Ruiz de Azua's name was miscategorized. His given name is Inigo and his surname is Ruiz de Azua. This has been corrected in the HTML coding.
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Affiliation(s)
- Erik Ellwardt
- Department of Neurology Focus Program Translational Neurosciences (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn²), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Gautam Pramanik
- Department of Neurology Focus Program Translational Neurosciences (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn²), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.,Focus Program Translational Neurosciences & Institute of Pathophysiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Dirk Luchtman
- Department of Neurology Focus Program Translational Neurosciences (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn²), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Tanja Novkovic
- Focus Program Translational Neurosciences & Institute of Physiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Eduardo Rosales Jubal
- Focus Program Translational Neurosciences & Institute of Pathophysiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Johannes Vogt
- Focus Program Translational Neurosciences & Institute for Microscopic Anatomy and Neurobiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Isabelle Arnoux
- Focus Program Translational Neurosciences & Institute of Pathophysiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Christina Francisca Vogelaar
- Department of Neurology Focus Program Translational Neurosciences (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn²), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Shibajee Mandal
- Department of Neurology Focus Program Translational Neurosciences (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn²), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Melanie Schmalz
- Department of Neurology Focus Program Translational Neurosciences (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn²), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Zeke Barger
- Focus Program Translational Neurosciences & Institute of Pathophysiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Inigo Ruiz de Azua
- Focus Program Translational Neurosciences & Institute for Physiological Chemistry, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Tanja Kuhlmann
- Institute for Neuropathology, University Hospital Münster, Münster, Germany
| | - Beat Lutz
- Focus Program Translational Neurosciences & Institute for Physiological Chemistry, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Thomas Mittmann
- Focus Program Translational Neurosciences & Institute of Physiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Stefan Bittner
- Department of Neurology Focus Program Translational Neurosciences (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn²), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frauke Zipp
- Department of Neurology Focus Program Translational Neurosciences (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn²), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
| | - Albrecht Stroh
- Focus Program Translational Neurosciences & Institute of Pathophysiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
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17
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Gonzalez-Escamilla G, Chirumamilla VC, Meyer B, Bonertz T, von Grotthus S, Vogt J, Stroh A, Horstmann JP, Tüscher O, Kalisch R, Muthuraman M, Groppa S. Excitability regulation in the dorsomedial prefrontal cortex during sustained instructed fear responses: a TMS-EEG study. Sci Rep 2018; 8:14506. [PMID: 30267020 PMCID: PMC6162240 DOI: 10.1038/s41598-018-32781-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 09/11/2018] [Indexed: 01/25/2023] Open
Abstract
Threat detection is essential for protecting individuals from adverse situations, in which a network of amygdala, limbic regions and dorsomedial prefrontal cortex (dmPFC) regions are involved in fear processing. Excitability regulation in the dmPFC might be crucial for fear processing, while abnormal patterns could lead to mental illness. Notwithstanding, non-invasive paradigms to measure excitability regulation during fear processing in humans are missing. To address this challenge we adapted an approach for excitability characterization, combining electroencephalography (EEG) and transcranial magnetic stimulation (TMS) over the dmPFC during an instructed fear paradigm, to dynamically dissect its role in fear processing. Event-related (ERP) and TMS-evoked potentials (TEP) were analyzed to trace dmPFC excitability. We further linked the excitability regulation patterns to individual MRI-derived gray matter structural integrity of the fear network. Increased cortical excitability was demonstrated to threat (T) processing in comparison to no-threat (NT), reflected by increased amplitude of evoked potentials. Furthermore, TMS at dmPFC enhanced the evoked responses during T processing, while the structural integrity of the dmPFC and amygdala predicted the excitability regulation patterns to fear processing. The dmPFC takes a special role during fear processing by dynamically regulating excitability. The applied paradigm can be used to non-invasively track response abnormalities to threat stimuli in healthy subjects or patients with mental disorders.
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Affiliation(s)
- Gabriel Gonzalez-Escamilla
- Section of Movement Disorders and Neurostimulation, Department of Neurology, Focus Program Translational Neurosciences (FTN), University Medical Center of the Johannes Gutenberg University Mainz, 55131, Mainz, Germany
| | - Venkata C Chirumamilla
- Section of Movement Disorders and Neurostimulation, Department of Neurology, Focus Program Translational Neurosciences (FTN), University Medical Center of the Johannes Gutenberg University Mainz, 55131, Mainz, Germany
| | - Benjamin Meyer
- Neuroimaging Center Mainz, Focus Program Translational Neuroscience, University Medical Center of the Johannes Gutenberg University Mainz, 55131, Mainz, Germany
| | - Tamara Bonertz
- Section of Movement Disorders and Neurostimulation, Department of Neurology, Focus Program Translational Neurosciences (FTN), University Medical Center of the Johannes Gutenberg University Mainz, 55131, Mainz, Germany
| | - Sarah von Grotthus
- Section of Movement Disorders and Neurostimulation, Department of Neurology, Focus Program Translational Neurosciences (FTN), University Medical Center of the Johannes Gutenberg University Mainz, 55131, Mainz, Germany
| | - Johannes Vogt
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center of the Johannes Gutenberg University Mainz, 55131, Mainz, Germany
| | - Albrecht Stroh
- Focus Program Translational Neurosciences, Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg University Mainz, 55131, Mainz, Germany
| | - Johann-Philipp Horstmann
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, 55131, Mainz, Germany
| | - Oliver Tüscher
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, 55131, Mainz, Germany
| | - Raffael Kalisch
- Neuroimaging Center Mainz, Focus Program Translational Neuroscience, University Medical Center of the Johannes Gutenberg University Mainz, 55131, Mainz, Germany
| | - Muthuraman Muthuraman
- Section of Movement Disorders and Neurostimulation, Department of Neurology, Focus Program Translational Neurosciences (FTN), University Medical Center of the Johannes Gutenberg University Mainz, 55131, Mainz, Germany
| | - Sergiu Groppa
- Section of Movement Disorders and Neurostimulation, Department of Neurology, Focus Program Translational Neurosciences (FTN), University Medical Center of the Johannes Gutenberg University Mainz, 55131, Mainz, Germany.
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18
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Ellwardt E, Pramanik G, Luchtman D, Novkovic T, Jubal ER, Vogt J, Arnoux I, Vogelaar CF, Mandal S, Schmalz M, Barger Z, Ruiz de Azua I, Kuhlmann T, Lutz B, Mittmann T, Bittner S, Zipp F, Stroh A. Maladaptive cortical hyperactivity upon recovery from experimental autoimmune encephalomyelitis. Nat Neurosci 2018; 21:1392-1403. [DOI: 10.1038/s41593-018-0193-2] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Accepted: 06/17/2018] [Indexed: 12/14/2022]
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19
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Naumann G, Alfieri L, Wyser K, Mentaschi L, Betts RA, Carrao H, Spinoni J, Vogt J, Feyen L. Global Changes in Drought Conditions Under Different Levels of Warming. Geophys Res Lett 2018; 45:3285-3296. [PMID: 0 DOI: 10.1002/2017gl076521] [Citation(s) in RCA: 114] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Affiliation(s)
- G. Naumann
- Joint Research CentreEuropean Commission Ispra Italy
| | - L. Alfieri
- Joint Research CentreEuropean Commission Ispra Italy
| | - K. Wyser
- Rossby CentreSwedish Meteorological and Hydrological Institute Norrköping Sweden
| | - L. Mentaschi
- Joint Research CentreEuropean Commission Ispra Italy
| | - R. A. Betts
- Met Office Hadley Centre Exeter UK
- College of Life and Environmental SciencesUniversity of Exeter Exeter UK
| | - H. Carrao
- Joint Research CentreEuropean Commission Ispra Italy
| | - J. Spinoni
- Joint Research CentreEuropean Commission Ispra Italy
| | - J. Vogt
- Joint Research CentreEuropean Commission Ispra Italy
| | - L. Feyen
- Joint Research CentreEuropean Commission Ispra Italy
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20
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Vogelaar CF, Mandal S, Lerch S, Birkner K, Birkenstock J, Bühler U, Schnatz A, Raine CS, Bittner S, Vogt J, Kipnis J, Nitsch R, Zipp F. Fast direct neuronal signaling via the IL-4 receptor as therapeutic target in neuroinflammation. Sci Transl Med 2018; 10:10/430/eaao2304. [DOI: 10.1126/scitranslmed.aao2304] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 12/11/2017] [Accepted: 01/26/2018] [Indexed: 12/13/2022]
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21
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Vogt J, Kirischuk S, Unichenko P, Schlüter L, Pelosi A, Endle H, Yang JW, Schmarowski N, Cheng J, Thalman C, Strauss U, Prokudin A, Bharati BS, Aoki J, Chun J, Lutz B, Luhmann HJ, Nitsch R. Synaptic Phospholipid Signaling Modulates Axon Outgrowth via Glutamate-dependent Ca2+-mediated Molecular Pathways. Cereb Cortex 2018; 27:131-145. [PMID: 27909001 PMCID: PMC5939201 DOI: 10.1093/cercor/bhw370] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [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: 12/24/2015] [Indexed: 12/28/2022] Open
Abstract
Altered synaptic bioactive lipid signaling has been recently shown to augment neuronal excitation in the hippocampus of adult animals by activation of presynaptic LPA2-receptors leading to increased presynaptic glutamate release. Here, we show that this results in higher postsynaptic Ca2+ levels and in premature onset of spontaneous neuronal activity in the developing entorhinal cortex. Interestingly, increased synchronized neuronal activity led to reduced axon growth velocity of entorhinal neurons which project via the perforant path to the hippocampus. This was due to Ca2+-dependent molecular signaling to the axon affecting stabilization of the actin cytoskeleton. The spontaneous activity affected the entire entorhinal cortical network and thus led to reduced overall axon fiber numbers in the mature perforant path that is known to be important for specific memory functions. Our data show that precise regulation of early cortical activity by bioactive lipids is of critical importance for proper circuit formation.
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Affiliation(s)
- Johannes Vogt
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany
| | - Sergei Kirischuk
- Institute of Physiology, University Medical Center, Johannes Gutenberg-University, 55128 Mainz, Germany
| | - Petr Unichenko
- Institute of Physiology, University Medical Center, Johannes Gutenberg-University, 55128 Mainz, Germany
| | - Leslie Schlüter
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany
| | - Assunta Pelosi
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany
| | - Heiko Endle
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany
| | - Jenq-Wei Yang
- Institute of Physiology, University Medical Center, Johannes Gutenberg-University, 55128 Mainz, Germany
| | - Nikolai Schmarowski
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany
| | - Jin Cheng
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany
| | - Carine Thalman
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany
| | - Ulf Strauss
- Institute of Cell Biology and Neurobiology, Charité - Universitätsmedizin, 10119 Berlin, Germany
| | - Alexey Prokudin
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany
| | - B Suman Bharati
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany
| | - Junken Aoki
- Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, 980-8578, Japan
| | - Jerold Chun
- Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Beat Lutz
- Institute of Physiological Chemistry, University Medical Center, Johannes Gutenberg-University, 55128 Mainz, Germany
| | - Heiko J Luhmann
- Institute of Physiology, University Medical Center, Johannes Gutenberg-University, 55128 Mainz, Germany
| | - Robert Nitsch
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany
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Vogt J, Kammeier A, Fricke E, Holzinger J, Lamp B, Baller D, Horstkotte D, Burchert W, Lindner O. Cardiac resynchronisation therapy. Nuklearmedizin 2018. [DOI: 10.1055/s-0038-1623930] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Summary
Aim: Cardiac resynchronisation therapy (CRT) has been shown to improve haemodynamics and clinical symptoms in heart failure patients. The present study evaluated the effects of a 4-month CRT on myocardial blood flow (MBF) at rest, after vasodilation and on myocardial oxygen consumption (MVO2). Patients, Methods: We studied 16 patients with idiopathic dilated cardiomyopathy prior to and during CRT performed as biventricular pacing. Resting MBF and MVO2 were determined from an 11C-acetate PET study and vasodilator MBF from a 13N-ammonia study. Results: MBF at rest (0.55 ± 0.10 ml/min/g), after vasodilation (1.20 ± 0.45 ml/min/g), and MVO2 (0.082 ± 0.014/min) did not change by mid-term CRT at a global level (0.57 ± 0.11 ml/min/g; 1.32 ± 0.49 ml/min/g; 0.085 ± 0.018/min), whereas the rate pressure product (RPP) normalised MVO2 decreased from 0.104 ± 0.024 to 0.086 ± 0.018/min (p = 0.02). At baseline, the regional analysis revealed significantly higher values for all parameters in the lateral wall than for those in the other walls. Under CRT the regional differences between the resting parameters equalised and all parameters showed significant lower coefficients of variation. Conclusion: Effects of mid-term CRT on resting MBF, vasodilator MBF and MVO2 occur at a regional level. The resynchronisation is associated with a more homogenous distribution pattern of these parameters among the myocardial walls. Substantial alterations to global MBF at rest, after vasodilation or to MVO2 are not detectable. Regarding the RPP normalised MVO2, there is evidence of improved ventricular efficiency through CRT.
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Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, Viggiano A, Marcelli A, Senatore R, Parziale A, Stramaglia S, Pellicoro M, Angelini L, Amico E, Aerts H, Cortés J, Laureys S, Marinazzo D, Stramaglia S, Bassez I, Faes L, Almgren H, Razi A, Van de Steen F, Krebs R, Aerts H, Kanari L, Dlotko P, Scolamiero M, Levi R, Shillcock J, de Kock CP, Hess K, Markram H, Ly C, Marsat G, Gillespie T, Sandström M, Abrams M, Grethe JS, Martone M, De Gernier R, Solinas S, Rössert C, Haelterman M, Massar S, Pasquale V, Pastore VP, Martinoia S, Massobrio P, Capone C, Tort-Colet N, Sanchez-Vives MV, Mattia M, Almasi A, Cloherty SL, Grayden DB, Wong YT, Ibbotson MR, Meffin H, Prince LY, Tsaneva-Atanasova K, Mellor JR, Mazzoni A, Rosa M, Carpaneto J, Romito LM, Priori A, Micera S, Migliore R, Lupascu CA, Franchina F, Bologna LL, Romani A, Saray S, Van Geit W, Káli S, Thomson A, Mercer A, Lange S, Falck J, Muller E, Schürmann F, Todorov D, Capps R, Barnett W, Molkov Y, Devalle F, Pazó D, Montbrió E, Mochol G, Azab H, Hayden BY, Moreno-Bote R, Balasubramani PP, Chakravarthy SV, Muddapu VR, Gheorghiu MD, Mimica B, Withlock J, Mureșan RC, Zick JL, Schultz K, Blackman RK, Chafee MV, Netoff TI, Roberts N, Nagaraj V, Lamperski A, Netoff TI, Grado LL, Johnson MD, Darrow DP, Lonardoni D, Amin H, Di Marco S, Maccione A, Berdondini L, Nieus T, Stimberg M, Goodman DFM, Nowotny T, Koren V, Dragoi V, Obermayer K, Castro S, Fernandez M, El-Deredy W, Xu K, Maidana JP, Orio P, Chen W, Hepburn I, Casalegno F, Devresse A, Ovcharenko A, Pereira F, Delalondre F, De Schutter E, Bratby P, Gallimore AR, Klingbeil G, Zamora C, Zang Y, Crotty P, Palmerduca E, Antonietti A, Casellato C, Erö C, D’Angelo E, Gewaltig MO, Pedrocchi A, Bytschok I, Dold D, Schemmel J, Meier K, Petrovici MA, Shen HA, Surace SC, Pfister JP, Lefebvre B, Marre O, Yger P, Papoutsi A, Park J, Ash R, Smirnakis S, Poirazi P, Felix RA, Dimitrov AG, Portfors C, Daun S, Toth TI, Jędrzejewska-Szmek J, Kabbani N, Blackwel KT, Moezzi B, Schaworonkow N, Plogmacher L, Goldsworthy MR, Hordacre B, McDonnell MD, Iannella N, Ridding MC, Triesch J, Maex R, Safaryan K, Steuber V, Tang R, Tang YY, Verveyko DV, Brazhe AR, Verisokin AY, Postnov DE, Günay C, Panuccio G, Giugliano M, Prinz AA, Varona P, Rabinovich MI, Denham J, Ranner T, Cohen N, Reva M, Rebola N, Kirizs T, Nusser Z, DiGregorio D, Mavritsaki E, Rentzelas P, Ukani NH, Tomkins A, Yeh CH, Bruning W, Fenichel AL, Zhou Y, Huang YC, Florescu D, Ortiz CL, Richmond P, Lo CC, Coca D, Chiang AS, Lazar AA, Moezzi B, Creaser JL, Lin C, Ashwin P, Brown JT, Ridler T, Levenstein D, Watson BO, Buzsáki G, Rinzel J, Curtu R, Nguyen A, Assadzadeh S, Robinson PA, Sanz-Leon P, Forlim CG, de Almeida LOB, Pinto RD, Rodríguez FB, Lareo Á, Forlim CG, Rodríguez FB, Montero A, Mosqueiro T, Huerta R, Rodriguez FB, Changoluisa V, Rodriguez FB, Cordeiro VL, Ceballos CC, Kamiji NL, Roque AC, Lytton WW, Knox A, Rosenthal JJC, Daun S, Popovych S, Liu L, Wang BA, Tóth TI, Grefkes C, Fink GR, Rosjat N, Perez-Trujillo A, Espinal A, Sotelo-Figueroa MA, Cruz-Aceves I, Rostro-Gonzalez H, Zapotocky M, Hoskovcová M, Kopecká J, Ulmanová O, Růžička E, Gärtner M, Duvarci S, Roeper J, Schneider G, Albert S, Schmack K, Remme M, Schreiber S, Migliore M, Lupascu CA, Bologna LL, Antonel SM, Courcol JD, Schürmann F, Çelikok SU, Navarro-López EM, Şengör NS, Elibol R, Sengor NS, Özdemir MY, Li T, Arleo A, Sheynikhovich D, Nakamura A, Shimono M, Song Y, Park S, Choi I, Jeong J, Shin HS, Sadeh S, Gleeson P, Angus Silver R, Chatzikalymniou AP, Skinner FK, Sanchez-Rodriguez LM, Sotero RC, Hertäg L, Mackwood O, Sprekeler H, Puhlmann S, Weber SN, Higgins D, Naumann LB, Weber SN, Iyer R, Mihalas S, Ticcinelli V, Stankovski T, McClintock PVE, Stefanovska A, Janjić P, Solev D, Seifert G, Kocarev L, Steinhäuser C, Salmasi M, Glasauer S, Stemmler M, Zhang D, Zhang C, Stepanyants A, Goncharenko J, Kros L, Davey N, de Zeeuw C, Hoebeek F, Sinha A, Adams R, Schmuker M, Psarrou M, Schilstra M, Torben-Nielsen B, Metzner C, Schweikard A, Mäki-Marttunen T, Zurowski B, Marinazzo D, Faes L, Stramaglia S, Jordan HOC, Stringer SM, Gajewska-Dendek E, Suffczyński P, Tam N, Zouridakis G, Pollonini L, Tang YY, Asl MM, Valizadeh A, Tass PA, Nold A, Fan W, Konrad S, Endle H, Vogt J, Tchumatchenko T, Herpich J, Tetzlaff C, Luboeinski J, Nachstedt T, Ciba M, Bahmer A, Thielemann C, Kuebler ES, Tauskela JS, Thivierge JP, Bakker R, García-Amado M, Evangelio M, Clascá F, Tiesinga P, Buckley CL, Toyoizumi T, Dubreuil AM, Monasson R, Treves A, Spalla D, Rosay S, Kleberg FI, Wong W, de Oliveira Floriano B, Matsuo T, Uchida T, Dibenedetto D, Uludağ K, Goodarzinick A, Schmidt M, Hilgetag CC, Diesmann M, van Albada SJ, Fauth M, van Rossum M, Reyes-Sánchez M, Amaducci R, Muñiz C, Varona P, Elices I, Arroyo D, Levi R, Cohen B, Chow C, Vattikuti S, Bertolotti E, Burioni R, di Volo M, Vezzani A, Menzat B, Vogels TP, Wagatsuma N, Saha S, Kapoor R, Kerr R, Wagner J, del Molino LCG, Yang GR, Mejias JF, Wang XJ, Song H, Goodliffe J, Luebke J, Weaver CM, Thomas J, Sinha N, Shaju N, Maszczyk T, Jin J, Cash SS, Dauwels J, Brandon Westover M, Karimian M, Moerel M, De Weerd P, Burwick T, Westra RL, Abeysuriya R, Hadida J, Sotiropoulos S, Jbabdi S, Woolrich M, Bensmail C, Wrobel B, Zhou X, Ji Z, Liu X, Xia Y, Wu S, Wang X, Zhang M, Wu S, Ofer N, Shefi O, Yaari G, Carnevale T, Majumdar A, Sivagnanam S, Yoshimoto K, Smirnova EY, Amakhin DV, Malkin SL, Zaitsev AV, Chizhov AV, Zaleshina M, Zaleshin A, Barranca VJ, Zhu G, Skilling QM, Maruyama D, Ognjanovski N, Aton SJ, Zochowski M, Wu J, Aton S, Rich S, Booth V, Budak M, Dura-Bernal S, Neymotin SA, Suter BA, Shepherd GMG, Felton MA, Yu AB, Boothe DL, Oie KS, Franaszczuk PJ, Shuvaev SA, Başerdem B, Zador A, Koulakov AA, López-Madrona VJ, Pereda E, Mirasso CR, Canals S, Masoli S, Rongala UB, Mazzoni A, Spanne A, Jorntell H, Oddo CM, Vartanov AV, Neklyudova AK, Kozlovskiy SA, Kiselnikov AA, Marakshina JA, Teleńczuk M, Teleńczuk B, Destexhe A, Kuokkanen PT, Kraemer A, McColgan T, Carr CE, Kempter R. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3. BMC Neurosci 2017. [PMCID: PMC5592441 DOI: 10.1186/s12868-017-0372-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Schmitz K, Brunkhorst R, de Bruin N, Mayer CA, Häussler A, Ferreiros N, Schiffmann S, Parnham MJ, Tunaru S, Chun J, Offermanns S, Foerch C, Scholich K, Vogt J, Wicker S, Lötsch J, Geisslinger G, Tegeder I. Dysregulation of lysophosphatidic acids in multiple sclerosis and autoimmune encephalomyelitis. Acta Neuropathol Commun 2017; 5:42. [PMID: 28578681 PMCID: PMC5457661 DOI: 10.1186/s40478-017-0446-4] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 05/21/2017] [Indexed: 01/18/2023] Open
Abstract
Abstract Bioactive lipids contribute to the pathophysiology of multiple sclerosis. Here, we show that lysophosphatidic acids (LPAs) are dysregulated in multiple sclerosis (MS) and are functionally relevant in this disease. LPAs and autotaxin, the major enzyme producing extracellular LPAs, were analyzed in serum and cerebrospinal fluid in a cross-sectional population of MS patients and were compared with respective data from mice in the experimental autoimmune encephalomyelitis (EAE) model, spontaneous EAE in TCR1640 mice, and EAE in Lpar2-/- mice. Serum LPAs were reduced in MS and EAE whereas spinal cord LPAs in TCR1640 mice increased during the ‘symptom-free’ intervals, i.e. on resolution of inflammation during recovery hence possibly pointing to positive effects of brain LPAs during remyelination as suggested in previous studies. Peripheral LPAs mildly re-raised during relapses but further dropped in refractory relapses. The peripheral loss led to a redistribution of immune cells from the spleen to the spinal cord, suggesting defects of lymphocyte homing. In support, LPAR2 positive T-cells were reduced in EAE and the disease was intensified in Lpar2 deficient mice. Further, treatment with an LPAR2 agonist reduced clinical signs of relapsing-remitting EAE suggesting that the LPAR2 agonist partially compensated the endogenous loss of LPAs and implicating LPA signaling as a novel treatment approach. Graphical abstract Graphical summary of lysophosphatidic signaling in multiple sclerosis![]() Electronic supplementary material The online version of this article (doi:10.1186/s40478-017-0446-4) contains supplementary material, which is available to authorized users.
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Rocha PRF, Medeiros MCR, Kintzel U, Vogt J, Araújo IM, Mestre ALG, Mailänder V, Schlett P, Dröge M, Schneider L, Biscarini F, de Leeuw DM, Gomes HL. Extracellular electrical recording of pH-triggered bursts in C6 glioma cell populations. Sci Adv 2016; 2:e1600516. [PMID: 28028533 PMCID: PMC5182051 DOI: 10.1126/sciadv.1600516] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Accepted: 11/18/2016] [Indexed: 05/29/2023]
Abstract
Glioma patients often suffer from epileptic seizures because of the tumor's impact on the brain physiology. Using the rat glioma cell line C6 as a model system, we performed long-term live recordings of the electrical activity of glioma populations in an ultrasensitive detection method. The transducer exploits large-area electrodes that maximize double-layer capacitance, thus increasing the sensitivity. This strategy allowed us to record glioma electrical activity. We show that although glioma cells are nonelectrogenic, they display a remarkable electrical burst activity in time. The low-frequency current noise after cell adhesion is dominated by the flow of Na+ ions through voltage-gated ion channels. However, after an incubation period of many hours, the current noise markedly increased. This electric bursting phenomenon was not associated with apoptosis because the cells were viable and proliferative during the period of increased electric activity. We detected a rapid cell culture medium acidification accompanying this event. By using specific inhibitors, we showed that the electrical bursting activity was prompted by extracellular pH changes, which enhanced Na+ ion flux through the psalmotoxin 1-sensitive acid-sensing ion channels. Our model of pH-triggered bursting was unambiguously supported by deliberate, external acidification of the cell culture medium. This unexpected, acidosis-driven electrical activity is likely to directly perturb, in vivo, the functionality of the healthy neuronal network in the vicinity of the tumor bulk and may contribute to seizures in glioma patients.
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Affiliation(s)
- Paulo R. F. Rocha
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Maria C. R. Medeiros
- Instituto de Telecomunicações, Departamento de Engenharia Electrotécnica e de Computadores, Universidade de Coimbra, 3030-290 Coimbra, Portugal
| | - Ulrike Kintzel
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Johannes Vogt
- Institute of Microanatomy and Neurobiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Inês M. Araújo
- Department of Biomedical Sciences and Medicine, University of Algarve, 8005-139 Faro, Portugal
- Centre for Biomedical Research, University of Algarve, 8005-139 Faro, Portugal
| | - Ana L. G. Mestre
- Instituto de Telecomunicações, Avenida Rovisco, Pais 1, 1049-001 Lisboa, Portugal
- Universidade do Algarve, Faculdade de Ciências e Tecnologia, 8005-139 Faro, Portugal
| | - Volker Mailänder
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
- Dermatology Clinic, University Medicine of the Johannes-Gutenberg Universität Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Paul Schlett
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Melanie Dröge
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Leonid Schneider
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Fabio Biscarini
- Department of Life Sciences, Università di Modena e Reggio Emilia, Via Campi 103, I-41125 Modena, Italy
| | - Dago M. de Leeuw
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
- Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, Netherlands
| | - Henrique L. Gomes
- Instituto de Telecomunicações, Avenida Rovisco, Pais 1, 1049-001 Lisboa, Portugal
- Universidade do Algarve, Faculdade de Ciências e Tecnologia, 8005-139 Faro, Portugal
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26
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Cheng J, Sahani S, Hausrat TJ, Yang JW, Ji H, Schmarowski N, Endle H, Liu X, Li Y, Böttche R, Radyushkin K, Maric HM, Hoerder-Suabedissen A, Molnár Z, Prouvot PH, Trimbuch T, Ninnemann O, Huai J, Fan W, Visentin B, Sabbadini R, Strømgaard K, Stroh A, Luhmann HJ, Kneussel M, Nitsch R, Vogt J. Precise Somatotopic Thalamocortical Axon Guidance Depends on LPA-Mediated PRG-2/Radixin Signaling. Neuron 2016; 92:126-142. [PMID: 27641493 PMCID: PMC5065528 DOI: 10.1016/j.neuron.2016.08.035] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Revised: 06/15/2016] [Accepted: 08/16/2016] [Indexed: 11/30/2022]
Abstract
Precise connection of thalamic barreloids with their corresponding cortical barrels is critical for processing of vibrissal sensory information. Here, we show that PRG-2, a phospholipid-interacting molecule, is important for thalamocortical axon guidance. Developing thalamocortical fibers both in PRG-2 full knockout (KO) and in thalamus-specific KO mice prematurely entered the cortical plate, eventually innervating non-corresponding barrels. This misrouting relied on lost axonal sensitivity toward lysophosphatidic acid (LPA), which failed to repel PRG-2-deficient thalamocortical fibers. PRG-2 electroporation in the PRG-2-/- thalamus restored the aberrant cortical innervation. We identified radixin as a PRG-2 interaction partner and showed that radixin accumulation in growth cones and its LPA-dependent phosphorylation depend on its binding to specific regions within the C-terminal region of PRG-2. In vivo recordings and whisker-specific behavioral tests demonstrated sensory discrimination deficits in PRG-2-/- animals. Our data show that bioactive phospholipids and PRG-2 are critical for guiding thalamic axons to their proper cortical targets.
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Affiliation(s)
- Jin Cheng
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | - Sadhna Sahani
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | - Torben Johann Hausrat
- University Medical Center Hamburg-Eppendorf, Institute for Molecular Neurogenetics, Center for Molecular Neurobiology Hamburg (ZMNH), 20251 Hamburg, Germany
| | - Jenq-Wei Yang
- Institute of Physiology, University Medical Center, Johannes Gutenberg University, 55128 Mainz, Germany
| | - Haichao Ji
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | - Nikolai Schmarowski
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | - Heiko Endle
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | - Xinfeng Liu
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | - Yunbo Li
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | - Rahel Böttche
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | - Konstantin Radyushkin
- Focus Program Translational Neuroscience, Johannes Gutenberg University, 55128 Mainz, Germany
| | - Hans M Maric
- Department of Drug Design and Pharmacology, Center for Biopharmaceuticals, University of Copenhagen, 2100 Copenhagen, Denmark
| | | | - Zoltán Molnár
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford OX1 3QX, UK
| | - Pierre-Hugues Prouvot
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | - Thorsten Trimbuch
- Institute for Cell Biology and Neurobiology, Charité, 10117 Berlin, Germany
| | - Olaf Ninnemann
- Institute for Cell Biology and Neurobiology, Charité, 10117 Berlin, Germany
| | - Jisen Huai
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | - Wei Fan
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | | | | | - Kristian Strømgaard
- Department of Drug Design and Pharmacology, Center for Biopharmaceuticals, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Albrecht Stroh
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany
| | - Heiko J Luhmann
- Institute of Physiology, University Medical Center, Johannes Gutenberg University, 55128 Mainz, Germany
| | - Matthias Kneussel
- University Medical Center Hamburg-Eppendorf, Institute for Molecular Neurogenetics, Center for Molecular Neurobiology Hamburg (ZMNH), 20251 Hamburg, Germany
| | - Robert Nitsch
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany.
| | - Johannes Vogt
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany.
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Vogt J, Yang JW, Mobascher A, Cheng J, Li Y, Liu X, Baumgart J, Thalman C, Kirischuk S, Unichenko P, Horta G, Radyushkin K, Stroh A, Richers S, Sahragard N, Distler U, Tenzer S, Qiao L, Lieb K, Tüscher O, Binder H, Ferreiros N, Tegeder I, Morris AJ, Gropa S, Nürnberg P, Toliat MR, Winterer G, Luhmann HJ, Huai J, Nitsch R. Molecular cause and functional impact of altered synaptic lipid signaling due to a prg-1 gene SNP. EMBO Mol Med 2016; 8:25-38. [PMID: 26671989 PMCID: PMC4718157 DOI: 10.15252/emmm.201505677] [Citation(s) in RCA: 32] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Loss of plasticity‐related gene 1 (PRG‐1), which regulates synaptic phospholipid signaling, leads to hyperexcitability via increased glutamate release altering excitation/inhibition (E/I) balance in cortical networks. A recently reported SNP in prg‐1 (R345T/mutPRG‐1) affects ~5 million European and US citizens in a monoallelic variant. Our studies show that this mutation leads to a loss‐of‐PRG‐1 function at the synapse due to its inability to control lysophosphatidic acid (LPA) levels via a cellular uptake mechanism which appears to depend on proper glycosylation altered by this SNP. PRG‐1+/− mice, which are animal correlates of human PRG‐1+/mut carriers, showed an altered cortical network function and stress‐related behavioral changes indicating altered resilience against psychiatric disorders. These could be reversed by modulation of phospholipid signaling via pharmacological inhibition of the LPA‐synthesizing molecule autotaxin. In line, EEG recordings in a human population‐based cohort revealed an E/I balance shift in monoallelic mutPRG‐1 carriers and an impaired sensory gating, which is regarded as an endophenotype of stress‐related mental disorders. Intervention into bioactive lipid signaling is thus a promising strategy to interfere with glutamate‐dependent symptoms in psychiatric diseases.
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Affiliation(s)
- Johannes Vogt
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Jenq-Wei Yang
- Institute for Physiology and Pathophysiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Arian Mobascher
- Department of Psychiatry and Psychotherapy, University Medical Center, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Jin Cheng
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Yunbo Li
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Xingfeng Liu
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Jan Baumgart
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Carine Thalman
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Sergei Kirischuk
- Institute for Physiology and Pathophysiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Petr Unichenko
- Institute for Physiology and Pathophysiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Guilherme Horta
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Konstantin Radyushkin
- Focus Program Translational Neuroscience (FTN), University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Albrecht Stroh
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Sebastian Richers
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Nassim Sahragard
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Ute Distler
- Focus Program Translational Neuroscience (FTN), University Medical Center, Johannes Gutenberg-University, Mainz, Germany Institute for Immunology, University Medical Center, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Stefan Tenzer
- Institute for Immunology, University Medical Center, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Lianyong Qiao
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Klaus Lieb
- Department of Psychiatry and Psychotherapy, University Medical Center, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Oliver Tüscher
- Department of Psychiatry and Psychotherapy, University Medical Center, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Harald Binder
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Nerea Ferreiros
- Institute of Clinical Pharmacology Goethe-University Hospital, Frankfurt am Main, Germany
| | - Irmgard Tegeder
- Institute of Clinical Pharmacology Goethe-University Hospital, Frankfurt am Main, Germany
| | - Andrew J Morris
- Division of Cardiovascular Medicine, Gill Heart Institute, University of Kentucky, Lexington, KY, USA
| | - Sergiu Gropa
- Department of Neurology, University Medical Center, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Peter Nürnberg
- Cologne Center for Genomics (CCG), University of Cologne, Cologne, Germany
| | - Mohammad R Toliat
- Cologne Center for Genomics (CCG), University of Cologne, Cologne, Germany
| | - Georg Winterer
- Cologne Center for Genomics (CCG), University of Cologne, Cologne, Germany
| | - Heiko J Luhmann
- Institute for Physiology and Pathophysiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Jisen Huai
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Robert Nitsch
- Institute for Microscopic Anatomy and Neurobiology, University Medical Center, Johannes Gutenberg-University, Mainz, Germany
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Unichenko P, Kirischuk S, Yang JW, Baumgart J, Roskoden T, Schneider P, Sommer A, Horta G, Radyushkin K, Nitsch R, Vogt J, Luhmann HJ. Plasticity-Related Gene 1 Affects Mouse Barrel Cortex Function via Strengthening of Glutamatergic Thalamocortical Transmission. Cereb Cortex 2016; 26:3260-72. [PMID: 26980613 PMCID: PMC4898676 DOI: 10.1093/cercor/bhw066] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Plasticity-related gene-1 (PRG-1) is a brain-specific protein that modulates glutamatergic synaptic transmission. Here we investigated the functional role of PRG-1 in adolescent and adult mouse barrel cortex both in vitro and in vivo. Compared with wild-type (WT) animals, PRG-1-deficient (KO) mice showed specific behavioral deficits in tests assessing sensorimotor integration and whisker-based sensory discrimination as shown in the beam balance/walking test and sandpaper tactile discrimination test, respectively. At P25-31, spontaneous network activity in the barrel cortex in vivo was higher in KO mice compared with WT littermates, but not at P16-19. At P16-19, sensory evoked cortical responses in vivo elicited by single whisker stimulation were comparable in KO and WT mice. In contrast, at P25-31 evoked responses were smaller in amplitude and longer in duration in WT animals, whereas KO mice revealed no such developmental changes. In thalamocortical slices from KO mice, spontaneous activity was increased already at P16-19, and glutamatergic thalamocortical inputs to Layer 4 spiny stellate neurons were potentiated. We conclude that genetic ablation of PRG-1 modulates already at P16-19 spontaneous and evoked excitability of the barrel cortex, including enhancement of thalamocortical glutamatergic inputs to Layer 4, which distorts sensory processing in adulthood.
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Affiliation(s)
- Petr Unichenko
- Institute of Physiology, University Medical Center of the Johannes Gutenberg University Mainz, D-55128 Mainz, Germany
| | - Sergei Kirischuk
- Institute of Physiology, University Medical Center of the Johannes Gutenberg University Mainz, D-55128 Mainz, Germany
| | - Jenq-Wei Yang
- Institute of Physiology, University Medical Center of the Johannes Gutenberg University Mainz, D-55128 Mainz, Germany
| | - Jan Baumgart
- Institute for Microanatomy and Neurobiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, Building 708, D-55131 Mainz, Germany
| | - Thomas Roskoden
- Institute of Anatomy, Otto-von-Guericke-University of Magdeburg, Leipziger Str. 44, D-39120 Magdeburg, Germany
| | - Patrick Schneider
- Institute of Anatomy, Otto-von-Guericke-University of Magdeburg, Leipziger Str. 44, D-39120 Magdeburg, Germany
| | - Angela Sommer
- Institute of Anatomy, Otto-von-Guericke-University of Magdeburg, Leipziger Str. 44, D-39120 Magdeburg, Germany
| | - Guilherme Horta
- Institute for Microanatomy and Neurobiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, Building 708, D-55131 Mainz, Germany
| | - Konstantin Radyushkin
- Focus Program Translational Neuroscience, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Robert Nitsch
- Institute for Microanatomy and Neurobiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, Building 708, D-55131 Mainz, Germany
| | - Johannes Vogt
- Institute for Microanatomy and Neurobiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, Building 708, D-55131 Mainz, Germany
| | - Heiko J. Luhmann
- Institute of Physiology, University Medical Center of the Johannes Gutenberg University Mainz, D-55128 Mainz, Germany
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Vogt J, Grüßner S, Allendorf A, Schlößer R, Esmaeili A, Louwen F. Kardiomyopathie in der Schwangerschaft. Z Geburtshilfe Neonatol 2015. [DOI: 10.1055/s-0035-1566615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Abstract
Abstract. Meteorological drought is generally defined as a prolonged deficiency of precipitation and is considered one of the most relevant natural hazards as the related impacts can involve many different sectors. In this study, we investigated the spatial patterns of European droughts for the periods 1981–2010, 2041–2070, and 2071–2100, focusing on the projections under a moderate emissions scenario. To do that, we used the outputs of the KNMI-RACMO2 model, which belongs to the A1B family and whose spatial resolution is 0.25° × 0.25°. By means of monthly precipitation and potential evapotranspiration (PET), we computed the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) at the 12-month accumulation scale. Thereafter, we separately obtained drought frequency, duration, severity, and intensity for the whole of Europe, excluding Iceland. According to both indicators, the spatial drought patterns are projected to follow what recently characterized Europe: southern Europe, who experienced many severe drought events in the last decades, is likely to be involved by longer, more frequent, severe, and intense droughts in the near future (2041–2070) and even more in the far future (2071–2100). This tendency is more evident using the SPEI, which also depends on temperature and consequently reflects the expected warming that will be highest for the Mediterranean area in Europe. On the other side, less severe and fewer drought events are likely to occur in northern Europe. This tendency is more evident using the SPI, because the precipitation increase is projected to outbalance the temperature (and PET) rise in particular in Scandinavia. Regarding the mid-latitudes, the SPEI-based analyses point at more frequent drought events, while the SPI-based ones point at less frequent events in these regions.
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Lorite I, Zandalazini C, Esquinazi P, Spemann D, Friedländer S, Pöppl A, Michalsky T, Grundmann M, Vogt J, Meijer J, Heluani SP, Ohldag H, Adeagbo WA, Nayak SK, Hergert W, Ernst A, Hoffmann M. Study of the negative magneto-resistance of single proton-implanted lithium-doped ZnO microwires. J Phys Condens Matter 2015; 27:256002. [PMID: 26043764 DOI: 10.1088/0953-8984/27/25/256002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The magneto-transport properties of single proton-implanted ZnO and of Li(7%)-doped ZnO microwires have been studied. The as-grown microwires were highly insulating and not magnetic. After proton implantation the Li(7%) doped ZnO microwires showed a non-monotonous behavior of the negative magneto-resistance (MR) at temperature above 150 K. This is in contrast to the monotonous NMR observed below 50 K for proton-implanted ZnO. The observed difference in the transport properties of the wires is related to the amount of stable Zn vacancies created at the near surface region by the proton implantation and Li doping. The magnetic field dependence of the resistance might be explained by the formation of a magnetic/non-magnetic heterostructure in the wire after proton implantation.
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Affiliation(s)
- I Lorite
- Institut für Experimentelle Physik II, University of Leipzig, Linnéstraße 5, D-04103 Leipzig, Germany
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Walsh JT, Hendrix S, Boato F, Smirnov I, Zheng J, Lukens JR, Gadani S, Hechler D, Gölz G, Rosenberger K, Kammertöns T, Vogt J, Vogelaar C, Siffrin V, Radjavi A, Fernandez-Castaneda A, Gaultier A, Gold R, Kanneganti TD, Nitsch R, Zipp F, Kipnis J. MHCII-independent CD4+ T cells protect injured CNS neurons via IL-4. J Clin Invest 2015; 125:2547. [PMID: 25938785 DOI: 10.1172/jci82458] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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33
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Fitzgerald TW, Gerety SS, Jones WD, van Kogelenberg M, King DA, McRae J, Morley KI, Parthiban V, Al-Turki S, Ambridge K, Barrett DM, Bayzetinova T, Clayton S, Coomber EL, Gribble S, Jones P, Krishnappa N, Mason LE, Middleton A, Miller R, Prigmore E, Rajan D, Sifrim A, Tivey AR, Ahmed M, Akawi N, Andrews R, Anjum U, Archer H, Armstrong R, Balasubramanian M, Banerjee R, Baralle D, Batstone P, Baty D, Bennett C, Berg J, Bernhard B, Bevan AP, Blair E, Blyth M, Bohanna D, Bourdon L, Bourn D, Brady A, Bragin E, Brewer C, Brueton L, Brunstrom K, Bumpstead SJ, Bunyan DJ, Burn J, Burton J, Canham N, Castle B, Chandler K, Clasper S, Clayton-Smith J, Cole T, Collins A, Collinson MN, Connell F, Cooper N, Cox H, Cresswell L, Cross G, Crow Y, D’Alessandro M, Dabir T, Davidson R, Davies S, Dean J, Deshpande C, Devlin G, Dixit A, Dominiczak A, Donnelly C, Donnelly D, Douglas A, Duncan A, Eason J, Edkins S, Ellard S, Ellis P, Elmslie F, Evans K, Everest S, Fendick T, Fisher R, Flinter F, Foulds N, Fryer A, Fu B, Gardiner C, Gaunt L, Ghali N, Gibbons R, Gomes Pereira SL, Goodship J, Goudie D, Gray E, Greene P, Greenhalgh L, Harrison L, Hawkins R, Hellens S, Henderson A, Hobson E, Holden S, Holder S, Hollingsworth G, Homfray T, Humphreys M, Hurst J, Ingram S, Irving M, Jarvis J, Jenkins L, Johnson D, Jones D, Jones E, Josifova D, Joss S, Kaemba B, Kazembe S, Kerr B, Kini U, Kinning E, Kirby G, Kirk C, Kivuva E, Kraus A, Kumar D, Lachlan K, Lam W, Lampe A, Langman C, Lees M, Lim D, Lowther G, Lynch SA, Magee A, Maher E, Mansour S, Marks K, Martin K, Maye U, McCann E, McConnell V, McEntagart M, McGowan R, McKay K, McKee S, McMullan DJ, McNerlan S, Mehta S, Metcalfe K, Miles E, Mohammed S, Montgomery T, Moore D, Morgan S, Morris A, Morton J, Mugalaasi H, Murday V, Nevitt L, Newbury-Ecob R, Norman A, O'Shea R, Ogilvie C, Park S, Parker MJ, Patel C, Paterson J, Payne S, Phipps J, Pilz DT, Porteous D, Pratt N, Prescott K, Price S, Pridham A, Procter A, Purnell H, Ragge N, Rankin J, Raymond L, Rice D, Robert L, Roberts E, Roberts G, Roberts J, Roberts P, Ross A, Rosser E, Saggar A, Samant S, Sandford R, Sarkar A, Schweiger S, Scott C, Scott R, Selby A, Seller A, Sequeira C, Shannon N, Sharif S, Shaw-Smith C, Shearing E, Shears D, Simonic I, Simpkin D, Singzon R, Skitt Z, Smith A, Smith B, Smith K, Smithson S, Sneddon L, Splitt M, Squires M, Stewart F, Stewart H, Suri M, Sutton V, Swaminathan GJ, Sweeney E, Tatton-Brown K, Taylor C, Taylor R, Tein M, Temple IK, Thomson J, Tolmie J, Torokwa A, Treacy B, Turner C, Turnpenny P, Tysoe C, Vandersteen A, Vasudevan P, Vogt J, Wakeling E, Walker D, Waters J, Weber A, Wellesley D, Whiteford M, Widaa S, Wilcox S, Williams D, Williams N, Woods G, Wragg C, Wright M, Yang F, Yau M, Carter NP, Parker M, Firth HV, FitzPatrick DR, Wright CF, Barrett JC, Hurles ME. Large-scale discovery of novel genetic causes of developmental disorders. Nature 2015; 519:223-8. [PMID: 25533962 PMCID: PMC5955210 DOI: 10.1038/nature14135] [Citation(s) in RCA: 773] [Impact Index Per Article: 85.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2014] [Accepted: 12/04/2014] [Indexed: 12/23/2022]
Abstract
Despite three decades of successful, predominantly phenotype-driven discovery of the genetic causes of monogenic disorders, up to half of children with severe developmental disorders of probable genetic origin remain without a genetic diagnosis. Particularly challenging are those disorders rare enough to have eluded recognition as a discrete clinical entity, those with highly variable clinical manifestations, and those that are difficult to distinguish from other, very similar, disorders. Here we demonstrate the power of using an unbiased genotype-driven approach to identify subsets of patients with similar disorders. By studying 1,133 children with severe, undiagnosed developmental disorders, and their parents, using a combination of exome sequencing and array-based detection of chromosomal rearrangements, we discovered 12 novel genes associated with developmental disorders. These newly implicated genes increase by 10% (from 28% to 31%) the proportion of children that could be diagnosed. Clustering of missense mutations in six of these newly implicated genes suggests that normal development is being perturbed by an activating or dominant-negative mechanism. Our findings demonstrate the value of adopting a comprehensive strategy, both genome-wide and nationwide, to elucidate the underlying causes of rare genetic disorders.
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Affiliation(s)
- TW Fitzgerald
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - SS Gerety
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - WD Jones
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - M van Kogelenberg
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - DA King
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - J McRae
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - KI Morley
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - V Parthiban
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - S Al-Turki
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - K Ambridge
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - DM Barrett
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - T Bayzetinova
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - S Clayton
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - EL Coomber
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - S Gribble
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - P Jones
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - N Krishnappa
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - LE Mason
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - A Middleton
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - R Miller
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - E Prigmore
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - D Rajan
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - A Sifrim
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - AR Tivey
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - M Ahmed
- Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, UK and Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire, SP2 8BJ, UK and Faculty of Medicine, University of Southampton
| | - N Akawi
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - R Andrews
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - U Anjum
- South West Thames Regional Genetics Centre, St George’s Healthcare NHS Trust, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - H Archer
- Institute Of Medical Genetics, University Hospital Of Wales, Heath Park, Cardiff, CF14 4XW, UK and Department of Clinical Genetics, Block 12, Glan Clwyd Hospital, Rhyl, Denbighshire, LL18 5UJ, UK
| | - R Armstrong
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - M Balasubramanian
- Sheffield Regional Genetics Services, Sheffield Children’s NHS Trust, Western Bank, Sheffield, S10 2TH, UK
| | - R Banerjee
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - D Baralle
- Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, UK and Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire, SP2 8BJ, UK and Faculty of Medicine, University of Southampton
| | - P Batstone
- North of Scotland Regional Genetics Service, NHS Grampian, Department of Medical Genetics Medical School, Foresterhill, Aberdeen, AB25 2ZD, UK
| | - D Baty
- East of Scotland Regional Genetics Service, Human Genetics Unit, Pathology Department, NHS Tayside, Ninewells Hospital, Dundee, DD1 9SY, UK
| | - C Bennett
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Department of Clinical Genetics, Chapel Allerton Hospital, Chapeltown Road, Leeds, LS7 4SA, UK
| | - J Berg
- East of Scotland Regional Genetics Service, Human Genetics Unit, Pathology Department, NHS Tayside, Ninewells Hospital, Dundee, DD1 9SY, UK
| | - B Bernhard
- North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park And St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, UK
| | - AP Bevan
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - E Blair
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, UK
| | - M Blyth
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Department of Clinical Genetics, Chapel Allerton Hospital, Chapeltown Road, Leeds, LS7 4SA, UK
| | - D Bohanna
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - L Bourdon
- North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park And St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, UK
| | - D Bourn
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle upon Tyne, NE1 3BZ, UK
| | - A Brady
- North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park And St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, UK
| | - E Bragin
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - C Brewer
- Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, UK
| | - L Brueton
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - K Brunstrom
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street Hospital, Great Ormond Street, London, WC1N 3JH, UK
| | - SJ Bumpstead
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - DJ Bunyan
- Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, UK and Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire, SP2 8BJ, UK and Faculty of Medicine, University of Southampton
| | - J Burn
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle upon Tyne, NE1 3BZ, UK
| | - J Burton
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - N Canham
- North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park And St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, UK
| | - B Castle
- Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, UK
| | - K Chandler
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL
| | - S Clasper
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, UK
| | - J Clayton-Smith
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL
| | - T Cole
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - A Collins
- Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, UK and Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire, SP2 8BJ, UK and Faculty of Medicine, University of Southampton
| | - MN Collinson
- Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, UK and Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire, SP2 8BJ, UK and Faculty of Medicine, University of Southampton
| | - F Connell
- South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - N Cooper
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - H Cox
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - L Cresswell
- Leicestershire Genetics Centre, University Hospitals of Leicester NHS Trust, Leicester Royal Infirmary (NHS Trust), Leicester, LE1 5WW, UK
| | - G Cross
- Nottingham Regional Genetics Service, City Hospital Campus, Nottingham University Hospitals NHS Trust, The Gables, Hucknall Road, Nottingham NG5 1PB, UK
| | - Y Crow
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL
| | - M D’Alessandro
- North of Scotland Regional Genetics Service, NHS Grampian, Department of Medical Genetics Medical School, Foresterhill, Aberdeen, AB25 2ZD, UK
| | - T Dabir
- Northern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK
| | - R Davidson
- West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute Of Medical Genetics, Yorkhill Hospital, Glasgow, G3 8SJ, UK
| | - S Davies
- Institute Of Medical Genetics, University Hospital Of Wales, Heath Park, Cardiff, CF14 4XW, UK and Department of Clinical Genetics, Block 12, Glan Clwyd Hospital, Rhyl, Denbighshire, LL18 5UJ, UK
| | - J Dean
- North of Scotland Regional Genetics Service, NHS Grampian, Department of Medical Genetics Medical School, Foresterhill, Aberdeen, AB25 2ZD, UK
| | - C Deshpande
- South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - G Devlin
- Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, UK
| | - A Dixit
- Nottingham Regional Genetics Service, City Hospital Campus, Nottingham University Hospitals NHS Trust, The Gables, Hucknall Road, Nottingham NG5 1PB, UK
| | - A Dominiczak
- University of Edinburgh, Institute of Genetics & Molecular Medicine, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU, UK
| | - C Donnelly
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL
| | - D Donnelly
- Northern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK
| | - A Douglas
- Merseyside and Cheshire Genetics Service, Liverpool Women’s NHS Foundation Trust, Department of Clinical Genetics, Royal Liverpool Children’s Hospital Alder Hey, Eaton Road, Liverpool, L12 2AP, UK
| | - A Duncan
- West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute Of Medical Genetics, Yorkhill Hospital, Glasgow, G3 8SJ, UK
| | - J Eason
- Nottingham Regional Genetics Service, City Hospital Campus, Nottingham University Hospitals NHS Trust, The Gables, Hucknall Road, Nottingham NG5 1PB, UK
| | - S Edkins
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - S Ellard
- Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, UK
| | - P Ellis
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - F Elmslie
- South West Thames Regional Genetics Centre, St George’s Healthcare NHS Trust, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - K Evans
- Institute Of Medical Genetics, University Hospital Of Wales, Heath Park, Cardiff, CF14 4XW, UK and Department of Clinical Genetics, Block 12, Glan Clwyd Hospital, Rhyl, Denbighshire, LL18 5UJ, UK
| | - S Everest
- Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, UK
| | - T Fendick
- South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - R Fisher
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle upon Tyne, NE1 3BZ, UK
| | - F Flinter
- South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - N Foulds
- Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, UK and Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire, SP2 8BJ, UK and Faculty of Medicine, University of Southampton
| | - A Fryer
- Merseyside and Cheshire Genetics Service, Liverpool Women’s NHS Foundation Trust, Department of Clinical Genetics, Royal Liverpool Children’s Hospital Alder Hey, Eaton Road, Liverpool, L12 2AP, UK
| | - B Fu
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - C Gardiner
- West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute Of Medical Genetics, Yorkhill Hospital, Glasgow, G3 8SJ, UK
| | - L Gaunt
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL
| | - N Ghali
- North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park And St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, UK
| | - R Gibbons
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, UK
| | - SL Gomes Pereira
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - J Goodship
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle upon Tyne, NE1 3BZ, UK
| | - D Goudie
- East of Scotland Regional Genetics Service, Human Genetics Unit, Pathology Department, NHS Tayside, Ninewells Hospital, Dundee, DD1 9SY, UK
| | - E Gray
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - P Greene
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - L Greenhalgh
- Merseyside and Cheshire Genetics Service, Liverpool Women’s NHS Foundation Trust, Department of Clinical Genetics, Royal Liverpool Children’s Hospital Alder Hey, Eaton Road, Liverpool, L12 2AP, UK
| | - L Harrison
- Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, UK and Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire, SP2 8BJ, UK and Faculty of Medicine, University of Southampton
| | - R Hawkins
- Bristol Genetics Service (Avon, Somerset, Gloucs and West Wilts), University Hospitals Bristol NHS Foundation Trust, St Michael’s Hospital, St Michael’s Hill, Bristol, BS2 8DT, UK
| | - S Hellens
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle upon Tyne, NE1 3BZ, UK
| | - A Henderson
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle upon Tyne, NE1 3BZ, UK
| | - E Hobson
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Department of Clinical Genetics, Chapel Allerton Hospital, Chapeltown Road, Leeds, LS7 4SA, UK
| | - S Holden
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - S Holder
- North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park And St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, UK
| | - G Hollingsworth
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street Hospital, Great Ormond Street, London, WC1N 3JH, UK
| | - T Homfray
- South West Thames Regional Genetics Centre, St George’s Healthcare NHS Trust, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - M Humphreys
- Northern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK
| | - J Hurst
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street Hospital, Great Ormond Street, London, WC1N 3JH, UK
| | - S Ingram
- Sheffield Regional Genetics Services, Sheffield Children’s NHS Trust, Western Bank, Sheffield, S10 2TH, UK
| | - M Irving
- South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - J Jarvis
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - L Jenkins
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street Hospital, Great Ormond Street, London, WC1N 3JH, UK
| | - D Johnson
- Sheffield Regional Genetics Services, Sheffield Children’s NHS Trust, Western Bank, Sheffield, S10 2TH, UK
| | - D Jones
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - E Jones
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL
| | - D Josifova
- South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - S Joss
- West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute Of Medical Genetics, Yorkhill Hospital, Glasgow, G3 8SJ, UK
| | - B Kaemba
- Leicestershire Genetics Centre, University Hospitals of Leicester NHS Trust, Leicester Royal Infirmary (NHS Trust), Leicester, LE1 5WW, UK
| | - S Kazembe
- Leicestershire Genetics Centre, University Hospitals of Leicester NHS Trust, Leicester Royal Infirmary (NHS Trust), Leicester, LE1 5WW, UK
| | - B Kerr
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL
| | - U Kini
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, UK
| | - E Kinning
- West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute Of Medical Genetics, Yorkhill Hospital, Glasgow, G3 8SJ, UK
| | - G Kirby
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - C Kirk
- Northern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK
| | - E Kivuva
- Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, UK
| | - A Kraus
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Department of Clinical Genetics, Chapel Allerton Hospital, Chapeltown Road, Leeds, LS7 4SA, UK
| | - D Kumar
- Institute Of Medical Genetics, University Hospital Of Wales, Heath Park, Cardiff, CF14 4XW, UK and Department of Clinical Genetics, Block 12, Glan Clwyd Hospital, Rhyl, Denbighshire, LL18 5UJ, UK
| | - K Lachlan
- Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, UK and Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire, SP2 8BJ, UK and Faculty of Medicine, University of Southampton
| | - W Lam
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - A Lampe
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - C Langman
- South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - M Lees
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street Hospital, Great Ormond Street, London, WC1N 3JH, UK
| | - D Lim
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - G Lowther
- West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute Of Medical Genetics, Yorkhill Hospital, Glasgow, G3 8SJ, UK
| | - SA Lynch
- National Centre for Medical Genetics, Our Lady’s Children’s Hospital, Crumlin, Dublin 12, Ireland
| | - A Magee
- Northern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK
| | - E Maher
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - S Mansour
- South West Thames Regional Genetics Centre, St George’s Healthcare NHS Trust, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - K Marks
- South West Thames Regional Genetics Centre, St George’s Healthcare NHS Trust, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - K Martin
- Nottingham Regional Genetics Service, City Hospital Campus, Nottingham University Hospitals NHS Trust, The Gables, Hucknall Road, Nottingham NG5 1PB, UK
| | - U Maye
- Merseyside and Cheshire Genetics Service, Liverpool Women’s NHS Foundation Trust, Department of Clinical Genetics, Royal Liverpool Children’s Hospital Alder Hey, Eaton Road, Liverpool, L12 2AP, UK
| | - E McCann
- Institute Of Medical Genetics, University Hospital Of Wales, Heath Park, Cardiff, CF14 4XW, UK and Department of Clinical Genetics, Block 12, Glan Clwyd Hospital, Rhyl, Denbighshire, LL18 5UJ, UK
| | - V McConnell
- Northern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK
| | - M McEntagart
- South West Thames Regional Genetics Centre, St George’s Healthcare NHS Trust, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - R McGowan
- North of Scotland Regional Genetics Service, NHS Grampian, Department of Medical Genetics Medical School, Foresterhill, Aberdeen, AB25 2ZD, UK
| | - K McKay
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - S McKee
- Northern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK
| | - DJ McMullan
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - S McNerlan
- Northern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK
| | - S Mehta
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - K Metcalfe
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL
| | - E Miles
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL
| | - S Mohammed
- South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - T Montgomery
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle upon Tyne, NE1 3BZ, UK
| | - D Moore
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - S Morgan
- Institute Of Medical Genetics, University Hospital Of Wales, Heath Park, Cardiff, CF14 4XW, UK and Department of Clinical Genetics, Block 12, Glan Clwyd Hospital, Rhyl, Denbighshire, LL18 5UJ, UK
| | - A Morris
- University of Edinburgh, Institute of Genetics & Molecular Medicine, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU, UK
| | - J Morton
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - H Mugalaasi
- Institute Of Medical Genetics, University Hospital Of Wales, Heath Park, Cardiff, CF14 4XW, UK and Department of Clinical Genetics, Block 12, Glan Clwyd Hospital, Rhyl, Denbighshire, LL18 5UJ, UK
| | - V Murday
- West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute Of Medical Genetics, Yorkhill Hospital, Glasgow, G3 8SJ, UK
| | - L Nevitt
- Sheffield Regional Genetics Services, Sheffield Children’s NHS Trust, Western Bank, Sheffield, S10 2TH, UK
| | - R Newbury-Ecob
- Bristol Genetics Service (Avon, Somerset, Gloucs and West Wilts), University Hospitals Bristol NHS Foundation Trust, St Michael’s Hospital, St Michael’s Hill, Bristol, BS2 8DT, UK
| | - A Norman
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - R O'Shea
- National Centre for Medical Genetics, Our Lady’s Children’s Hospital, Crumlin, Dublin 12, Ireland
| | - C Ogilvie
- South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - S Park
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - MJ Parker
- Sheffield Regional Genetics Services, Sheffield Children’s NHS Trust, Western Bank, Sheffield, S10 2TH, UK
| | - C Patel
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - J Paterson
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - S Payne
- North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park And St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, UK
| | - J Phipps
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, UK
| | - DT Pilz
- Institute Of Medical Genetics, University Hospital Of Wales, Heath Park, Cardiff, CF14 4XW, UK and Department of Clinical Genetics, Block 12, Glan Clwyd Hospital, Rhyl, Denbighshire, LL18 5UJ, UK
| | - D Porteous
- University of Edinburgh, Institute of Genetics & Molecular Medicine, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU, UK
| | - N Pratt
- East of Scotland Regional Genetics Service, Human Genetics Unit, Pathology Department, NHS Tayside, Ninewells Hospital, Dundee, DD1 9SY, UK
| | - K Prescott
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Department of Clinical Genetics, Chapel Allerton Hospital, Chapeltown Road, Leeds, LS7 4SA, UK
| | - S Price
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, UK
| | - A Pridham
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, UK
| | - A Procter
- Institute Of Medical Genetics, University Hospital Of Wales, Heath Park, Cardiff, CF14 4XW, UK and Department of Clinical Genetics, Block 12, Glan Clwyd Hospital, Rhyl, Denbighshire, LL18 5UJ, UK
| | - H Purnell
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, UK
| | - N Ragge
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - J Rankin
- Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, UK
| | - L Raymond
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - D Rice
- East of Scotland Regional Genetics Service, Human Genetics Unit, Pathology Department, NHS Tayside, Ninewells Hospital, Dundee, DD1 9SY, UK
| | - L Robert
- South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - E Roberts
- Bristol Genetics Service (Avon, Somerset, Gloucs and West Wilts), University Hospitals Bristol NHS Foundation Trust, St Michael’s Hospital, St Michael’s Hill, Bristol, BS2 8DT, UK
| | - G Roberts
- Merseyside and Cheshire Genetics Service, Liverpool Women’s NHS Foundation Trust, Department of Clinical Genetics, Royal Liverpool Children’s Hospital Alder Hey, Eaton Road, Liverpool, L12 2AP, UK
| | - J Roberts
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - P Roberts
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Department of Clinical Genetics, Chapel Allerton Hospital, Chapeltown Road, Leeds, LS7 4SA, UK
| | - A Ross
- North of Scotland Regional Genetics Service, NHS Grampian, Department of Medical Genetics Medical School, Foresterhill, Aberdeen, AB25 2ZD, UK
| | - E Rosser
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street Hospital, Great Ormond Street, London, WC1N 3JH, UK
| | - A Saggar
- South West Thames Regional Genetics Centre, St George’s Healthcare NHS Trust, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - S Samant
- North of Scotland Regional Genetics Service, NHS Grampian, Department of Medical Genetics Medical School, Foresterhill, Aberdeen, AB25 2ZD, UK
| | - R Sandford
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - A Sarkar
- Nottingham Regional Genetics Service, City Hospital Campus, Nottingham University Hospitals NHS Trust, The Gables, Hucknall Road, Nottingham NG5 1PB, UK
| | - S Schweiger
- East of Scotland Regional Genetics Service, Human Genetics Unit, Pathology Department, NHS Tayside, Ninewells Hospital, Dundee, DD1 9SY, UK
| | - C Scott
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - R Scott
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street Hospital, Great Ormond Street, London, WC1N 3JH, UK
| | - A Selby
- Nottingham Regional Genetics Service, City Hospital Campus, Nottingham University Hospitals NHS Trust, The Gables, Hucknall Road, Nottingham NG5 1PB, UK
| | - A Seller
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, UK
| | - C Sequeira
- North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park And St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, UK
| | - N Shannon
- Nottingham Regional Genetics Service, City Hospital Campus, Nottingham University Hospitals NHS Trust, The Gables, Hucknall Road, Nottingham NG5 1PB, UK
| | - S Sharif
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - C Shaw-Smith
- Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, UK
| | - E Shearing
- Sheffield Regional Genetics Services, Sheffield Children’s NHS Trust, Western Bank, Sheffield, S10 2TH, UK
| | - D Shears
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, UK
| | - I Simonic
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - D Simpkin
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - R Singzon
- North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park And St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, UK
| | - Z Skitt
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL
| | - A Smith
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Department of Clinical Genetics, Chapel Allerton Hospital, Chapeltown Road, Leeds, LS7 4SA, UK
| | - B Smith
- University of Edinburgh, Institute of Genetics & Molecular Medicine, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU, UK
| | - K Smith
- Sheffield Regional Genetics Services, Sheffield Children’s NHS Trust, Western Bank, Sheffield, S10 2TH, UK
| | - S Smithson
- Bristol Genetics Service (Avon, Somerset, Gloucs and West Wilts), University Hospitals Bristol NHS Foundation Trust, St Michael’s Hospital, St Michael’s Hill, Bristol, BS2 8DT, UK
| | - L Sneddon
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle upon Tyne, NE1 3BZ, UK
| | - M Splitt
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle upon Tyne, NE1 3BZ, UK
| | - M Squires
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Department of Clinical Genetics, Chapel Allerton Hospital, Chapeltown Road, Leeds, LS7 4SA, UK
| | - F Stewart
- Northern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK
| | - H Stewart
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Old Road, Oxford, OX3 7LJ, UK
| | - M Suri
- Nottingham Regional Genetics Service, City Hospital Campus, Nottingham University Hospitals NHS Trust, The Gables, Hucknall Road, Nottingham NG5 1PB, UK
| | - V Sutton
- Merseyside and Cheshire Genetics Service, Liverpool Women’s NHS Foundation Trust, Department of Clinical Genetics, Royal Liverpool Children’s Hospital Alder Hey, Eaton Road, Liverpool, L12 2AP, UK
| | - GJ Swaminathan
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - E Sweeney
- Merseyside and Cheshire Genetics Service, Liverpool Women’s NHS Foundation Trust, Department of Clinical Genetics, Royal Liverpool Children’s Hospital Alder Hey, Eaton Road, Liverpool, L12 2AP, UK
| | - K Tatton-Brown
- South West Thames Regional Genetics Centre, St George’s Healthcare NHS Trust, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - C Taylor
- Sheffield Regional Genetics Services, Sheffield Children’s NHS Trust, Western Bank, Sheffield, S10 2TH, UK
| | - R Taylor
- South West Thames Regional Genetics Centre, St George’s Healthcare NHS Trust, St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - M Tein
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - IK Temple
- Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, UK and Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire, SP2 8BJ, UK and Faculty of Medicine, University of Southampton
| | - J Thomson
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Department of Clinical Genetics, Chapel Allerton Hospital, Chapeltown Road, Leeds, LS7 4SA, UK
| | - J Tolmie
- West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute Of Medical Genetics, Yorkhill Hospital, Glasgow, G3 8SJ, UK
| | - A Torokwa
- Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, UK and Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire, SP2 8BJ, UK and Faculty of Medicine, University of Southampton
| | - B Treacy
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - C Turner
- Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, UK
| | - P Turnpenny
- Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, UK
| | - C Tysoe
- Peninsula Clinical Genetics Service, Royal Devon and Exeter NHS Foundation Trust, Clinical Genetics Department, Royal Devon & Exeter Hospital (Heavitree), Gladstone Road, Exeter, EX1 2ED, UK
| | - A Vandersteen
- North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park And St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, UK
| | - P Vasudevan
- Leicestershire Genetics Centre, University Hospitals of Leicester NHS Trust, Leicester Royal Infirmary (NHS Trust), Leicester, LE1 5WW, UK
| | - J Vogt
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - E Wakeling
- North West Thames Regional Genetics Centre, North West London Hospitals NHS Trust, The Kennedy Galton Centre, Northwick Park And St Mark’s NHS Trust Watford Road, Harrow, HA1 3UJ, UK
| | - D Walker
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - J Waters
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street Hospital, Great Ormond Street, London, WC1N 3JH, UK
| | - A Weber
- Merseyside and Cheshire Genetics Service, Liverpool Women’s NHS Foundation Trust, Department of Clinical Genetics, Royal Liverpool Children’s Hospital Alder Hey, Eaton Road, Liverpool, L12 2AP, UK
| | - D Wellesley
- Wessex Clinical Genetics Service, University Hospital Southampton, Princess Anne Hospital, Coxford Road, Southampton, SO16 5YA, UK and Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Odstock Road, Salisbury, Wiltshire, SP2 8BJ, UK and Faculty of Medicine, University of Southampton
| | - M Whiteford
- West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute Of Medical Genetics, Yorkhill Hospital, Glasgow, G3 8SJ, UK
| | - S Widaa
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - S Wilcox
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - D Williams
- West Midlands Regional Genetics Service, Birmingham Women’s NHS Foundation Trust, Birmingham Women’s Hospital, Edgbaston, Birmingham, B15 2TG, UK
| | - N Williams
- West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute Of Medical Genetics, Yorkhill Hospital, Glasgow, G3 8SJ, UK
| | - G Woods
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - C Wragg
- Bristol Genetics Service (Avon, Somerset, Gloucs and West Wilts), University Hospitals Bristol NHS Foundation Trust, St Michael’s Hospital, St Michael’s Hill, Bristol, BS2 8DT, UK
| | - M Wright
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle upon Tyne, NE1 3BZ, UK
| | - F Yang
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - M Yau
- South East Thames Regional Genetics Centre, Guy’s and St Thomas’ NHS Foundation Trust, Guy’s Hospital, Great Maze Pond, London, SE1 9RT, UK
| | - NP Carter
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - M Parker
- The Ethox Centre, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - HV Firth
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - DR FitzPatrick
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - CF Wright
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - JC Barrett
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - ME Hurles
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
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Greenman R, Gorelik A, Sapir T, Baumgart J, Zamor V, Segal-Salto M, Levin-Zaidman S, Aidinis V, Aoki J, Nitsch R, Vogt J, Reiner O. Non-cell autonomous and non-catalytic activities of ATX in the developing brain. Front Neurosci 2015; 9:53. [PMID: 25788872 PMCID: PMC4349085 DOI: 10.3389/fnins.2015.00053] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [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: 11/30/2014] [Accepted: 02/06/2015] [Indexed: 12/20/2022] Open
Abstract
The intricate formation of the cerebral cortex requires a well-coordinated series of events, which are regulated at the level of cell-autonomous and non-cell autonomous mechanisms. Whereas cell-autonomous mechanisms that regulate cortical development are well-studied, the non-cell autonomous mechanisms remain poorly understood. A non-biased screen allowed us to identify Autotaxin (ATX) as a non-cell autonomous regulator of neural stem cells. ATX (also known as ENPP2) is best known to catalyze lysophosphatidic acid (LPA) production. Our results demonstrate that ATX affects the localization and adhesion of neuronal progenitors in a cell autonomous and non-cell autonomous manner, and strikingly, this activity is independent from its catalytic activity in producing LPA.
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Affiliation(s)
- Raanan Greenman
- Department of Molecular Genetics, Weizmann Institute of Science Rehovot, Israel
| | - Anna Gorelik
- Department of Molecular Genetics, Weizmann Institute of Science Rehovot, Israel
| | - Tamar Sapir
- Department of Molecular Genetics, Weizmann Institute of Science Rehovot, Israel
| | - Jan Baumgart
- University Medical Center, Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University Mainz Mainz, Germany ; Central Laboratory Animal Facility, University Medical Center, Johannes Gutenberg-University Mainz Mainz, Germany
| | - Vanessa Zamor
- Department of Molecular Genetics, Weizmann Institute of Science Rehovot, Israel
| | - Michal Segal-Salto
- Department of Molecular Genetics, Weizmann Institute of Science Rehovot, Israel
| | - Smadar Levin-Zaidman
- Department of Chemical Research Support, Weizmann Institute of Science Rehovot, Israel
| | - Vassilis Aidinis
- Division of Immunology, Biomedical Sciences Research Center 'Alexander Fleming' Athens, Greece
| | - Junken Aoki
- Graduate School of Pharmaceutical Sciences, Tohoku University Miyagi, Japan
| | - Robert Nitsch
- University Medical Center, Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University Mainz Mainz, Germany
| | - Johannes Vogt
- University Medical Center, Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University Mainz Mainz, Germany
| | - Orly Reiner
- Department of Molecular Genetics, Weizmann Institute of Science Rehovot, Israel
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Walsh JT, Hendrix S, Boato F, Smirnov I, Zheng J, Lukens JR, Gadani S, Hechler D, Gölz G, Rosenberger K, Kammertöns T, Vogt J, Vogelaar C, Siffrin V, Radjavi A, Fernandez-Castaneda A, Gaultier A, Gold R, Kanneganti TD, Nitsch R, Zipp F, Kipnis J. MHCII-independent CD4+ T cells protect injured CNS neurons via IL-4. J Clin Invest 2015; 125:699-714. [PMID: 25607842 DOI: 10.1172/jci76210] [Citation(s) in RCA: 116] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2014] [Accepted: 12/02/2014] [Indexed: 12/13/2022] Open
Abstract
A body of experimental evidence suggests that T cells mediate neuroprotection following CNS injury; however, the antigen specificity of these T cells and how they mediate neuroprotection are unknown. Here, we have provided evidence that T cell-mediated neuroprotection after CNS injury can occur independently of major histocompatibility class II (MHCII) signaling to T cell receptors (TCRs). Using two murine models of CNS injury, we determined that damage-associated molecular mediators that originate from injured CNS tissue induce a population of neuroprotective, IL-4-producing T cells in an antigen-independent fashion. Compared with wild-type mice, IL-4-deficient animals had decreased functional recovery following CNS injury; however, transfer of CD4+ T cells from wild-type mice, but not from IL-4-deficient mice, enhanced neuronal survival. Using a culture-based system, we determined that T cell-derived IL-4 protects and induces recovery of injured neurons by activation of neuronal IL-4 receptors, which potentiated neurotrophin signaling via the AKT and MAPK pathways. Together, these findings demonstrate that damage-associated molecules from the injured CNS induce a neuroprotective T cell response that is independent of MHCII/TCR interactions and is MyD88 dependent. Moreover, our results indicate that IL-4 mediates neuroprotection and recovery of the injured CNS and suggest that strategies to enhance IL-4-producing CD4+ T cells have potential to attenuate axonal damage in the course of CNS injury in trauma, inflammation, or neurodegeneration.
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Almeida R, Berzina Z, Arnspang EC, Baumgart J, Vogt J, Nitsch R, Ejsing CS. Quantitative spatial analysis of the mouse brain lipidome by pressurized liquid extraction surface analysis. Anal Chem 2015; 87:1749-56. [PMID: 25548943 DOI: 10.1021/ac503627z] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Here we describe a novel surface sampling technique termed pressurized liquid extraction surface analysis (PLESA), which in combination with a dedicated high-resolution shotgun lipidomics routine enables both quantification and in-depth structural characterization of molecular lipid species extracted directly from tissue sections. PLESA uses a sealed and pressurized sampling probe that enables the use of chloroform-containing extraction solvents for efficient in situ lipid microextraction with a spatial resolution of 400 μm. Quantification of lipid species is achieved by the inclusion of internal lipid standards in the extraction solvent. The analysis of lipid microextracts by nanoelectrospray ionization provides long-lasting ion spray which in conjunction with a hybrid ion trap-orbitrap mass spectrometer enables identification and quantification of molecular lipid species using a method with successive polarity shifting, high-resolution Fourier transform mass spectrometry (FTMS), and fragmentation analysis. We benchmarked the performance of the PLESA approach for in-depth lipidome analysis by comparing it to conventional lipid extraction of excised tissue homogenates and by mapping the spatial distribution and molar abundance of 170 molecular lipid species across different anatomical mouse brain regions.
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Affiliation(s)
- Reinaldo Almeida
- VILLUM Center for Bioanalytical Sciences, Department of Biochemistry and Molecular Biology, University of Southern Denmark , Odense, Denmark
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Grueters U, Seltmann T, Schmidt H, Horn H, Pranchai A, Vovides A, Peters R, Vogt J, Dahdouh-Guebas F, Berger U. The mangrove forest dynamics model mesoFON. Ecol Modell 2014. [DOI: 10.1016/j.ecolmodel.2014.07.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Distler U, Schmeisser MJ, Pelosi A, Reim D, Kuharev J, Weiczner R, Baumgart J, Boeckers TM, Nitsch R, Vogt J, Tenzer S. In‐depth protein profiling of the postsynaptic density from mouse hippocampus using data‐independent acquisition proteomics. Proteomics 2014; 14:2607-13. [DOI: 10.1002/pmic.201300520] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2013] [Revised: 08/04/2014] [Accepted: 09/08/2014] [Indexed: 11/12/2022]
Affiliation(s)
- Ute Distler
- Focus Program Translational Neuroscience (FTN) University Medical Center of the Johannes‐Gutenberg University Mainz Mainz Germany
- Institute for Immunology University Medical Center of the Johannes‐Gutenberg University Mainz Mainz Germany
| | | | - Assunta Pelosi
- Institute of Microscopic Anatomy and Neurobiology University Medical Center of the Johannes‐Gutenberg University Mainz Germany
| | - Dominik Reim
- Institute for Anatomy and Cell Biology Ulm University Ulm Germany
| | - Jörg Kuharev
- Institute for Immunology University Medical Center of the Johannes‐Gutenberg University Mainz Mainz Germany
| | - Roland Weiczner
- Institute of Microscopic Anatomy and Neurobiology University Medical Center of the Johannes‐Gutenberg University Mainz Germany
| | - Jan Baumgart
- Institute of Microscopic Anatomy and Neurobiology University Medical Center of the Johannes‐Gutenberg University Mainz Germany
| | | | - Robert Nitsch
- Focus Program Translational Neuroscience (FTN) University Medical Center of the Johannes‐Gutenberg University Mainz Mainz Germany
- Institute of Microscopic Anatomy and Neurobiology University Medical Center of the Johannes‐Gutenberg University Mainz Germany
| | - Johannes Vogt
- Focus Program Translational Neuroscience (FTN) University Medical Center of the Johannes‐Gutenberg University Mainz Mainz Germany
- Institute of Microscopic Anatomy and Neurobiology University Medical Center of the Johannes‐Gutenberg University Mainz Germany
| | - Stefan Tenzer
- Institute for Immunology University Medical Center of the Johannes‐Gutenberg University Mainz Mainz Germany
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Fernandes J, Vogt J, Wolever TMS. Kinetic model of acetate metabolism in healthy and hyperinsulinaemic humans. Eur J Clin Nutr 2014; 68:1067-71. [PMID: 25052228 PMCID: PMC4500642 DOI: 10.1038/ejcn.2014.136] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2013] [Revised: 05/27/2014] [Accepted: 06/08/2014] [Indexed: 12/31/2022]
Abstract
Background/objectives The short chain fatty acid acetate (AC), may play a role in increasing insulin sensitivity, thus lowering risk for obesity and type 2 diabetes mellitus. It is unclear if AC kinetics is similar in normal and hyperinsulinaemic participants. Therefore, we studied AC absorption from the distal colon in participants with normal (<40 pmol/L, NI) and high (≥40 pmol/L, HI) plasma-insulin. This work was part of a series of studies conceived to compute a kinetic model for acetate. Kinetic parameters such as estimates of rate of entry into peripheral blood, hepatic uptake and endogenous/exogenous production were compared in the groups. Subjects/methods Overnight fasted NI (n = 9) and HI (n = 8) participants were given rectal infusions containing sodium acetate (90 mmol/L). The solutions were retained for 40 min, then voided for AC measurement. Total amount of AC infused was 27 mmols. Results Acetate absorption from the distal colon (279±103 vs 322±91 μmol/min, P = 0.76) and hepatic uptake of AC (155±101 vs 146±85 μmol/min, P = 0.94) were similar in the groups. Endogenous and exogenous AC production was significantly higher in NI than HI participants. Plasma AC was inversely proportional to plasma insulin concentrations in the entire cohort (y=k/x, where k = 1813). Conclusions There was low power to detect differences in AC absorption rate and hepatic AC uptake in NI vs HI. The rate of entry of AC into peripheral blood was similar in NI and HI participants. However, hyperinsulinaemia may alter endogenous and exogenous AC metabolism.
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Affiliation(s)
- J Fernandes
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - J Vogt
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - T M S Wolever
- 1] Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada [2] Clinical Nutrition and Risk Factor Modification Centre and Division of Endocrinology and Metabolism and Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
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Matallo J, Vogt J, McCook O, Wachter U, Tillmans F, Groeger M, Szabo C, Georgieff M, Radermacher P, Calzia E. Sulfide-inhibition of mitochondrial respiration at very low oxygen concentrations. Nitric Oxide 2014; 41:79-84. [PMID: 24963794 DOI: 10.1016/j.niox.2014.06.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2013] [Revised: 06/06/2014] [Accepted: 06/10/2014] [Indexed: 10/25/2022]
Abstract
Our aim was to study the ability of an immortalized cell line (AMJ2-C11) to sustain aerobic cell respiration at decreasing oxygen concentrations under continuous sulfide exposure. We assumed that the rate of elimination of sulfide through the pathway linked to the mitochondrial respiratory chain and therefore operating under aerobic conditions, should decrease with limiting oxygen concentrations. Thus, sulfide's inhibition of cellular respiration would occur faster under continuous sulfide exposure when the oxygen concentration is in the very low range. The experiments were performed with an O2K-oxygraph (Oroboros Instruments) by suspending 0.5-1×10(6) cells in 2 ml of continuously stirred respiration medium at 37 °C and calculating the oxygen flux (JO2) as the negative derivative of the oxygen concentration in the medium. The cells were studied in two different metabolic states, namely under normal physiologic respiration (1) and after uncoupling of mitochondrial respiration (2). Oxygen concentration was controlled by means of a titration-injection pump, resulting in average concentration values of 0.73±0.05 μM, 3.1±0.2 μM, and 6.2±0.2 μM. Simultaneously we injected a 2 mM Na2S solution at a continuous rate of 10 μl/s in order to quantify the titration-time required to reduce the JO2 to 50% of the initial respiratory activity. Under the lowest oxygen concentration this effect was achieved after 3.5 [0.3;3.5] and 11.7 [6.2;21.2]min in the uncoupled and coupled state, respectively. This time was statistically significantly shorter when compared to the intermediate and the highest O2 concentrations tested, which yielded values of 24.6 [15.5;28.1]min (coupled) and 35.9 [27.4;59.2]min (uncoupled), as well as 42.4 [27.5;42.4]min (coupled) and 51.5 [46.4;51.7]min (uncoupled). All data are medians [25%, and 75% percentiles]. Our results confirm that the onset of inhibition of cell respiration by sulfide occurs earlier under a continuous exposure when approaching the anoxic condition. This property may contribute to the physiological role of sulfide as an oxygen sensor.
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Affiliation(s)
- J Matallo
- Sektion Anästhesiologische Pathophysiologie und Verfahrensentwicklung, Klinik für Anästhesiologie, Universitätsklinikum Ulm, Germany
| | - J Vogt
- Sektion Anästhesiologische Pathophysiologie und Verfahrensentwicklung, Klinik für Anästhesiologie, Universitätsklinikum Ulm, Germany
| | - O McCook
- Sektion Anästhesiologische Pathophysiologie und Verfahrensentwicklung, Klinik für Anästhesiologie, Universitätsklinikum Ulm, Germany
| | - U Wachter
- Sektion Anästhesiologische Pathophysiologie und Verfahrensentwicklung, Klinik für Anästhesiologie, Universitätsklinikum Ulm, Germany
| | - F Tillmans
- Sektion Anästhesiologische Pathophysiologie und Verfahrensentwicklung, Klinik für Anästhesiologie, Universitätsklinikum Ulm, Germany
| | - M Groeger
- Sektion Anästhesiologische Pathophysiologie und Verfahrensentwicklung, Klinik für Anästhesiologie, Universitätsklinikum Ulm, Germany
| | - C Szabo
- Department of Anesthesiology, University of Texas Medical Branch, Galveston, TX, United States
| | - M Georgieff
- Sektion Anästhesiologische Pathophysiologie und Verfahrensentwicklung, Klinik für Anästhesiologie, Universitätsklinikum Ulm, Germany
| | - P Radermacher
- Sektion Anästhesiologische Pathophysiologie und Verfahrensentwicklung, Klinik für Anästhesiologie, Universitätsklinikum Ulm, Germany
| | - E Calzia
- Sektion Anästhesiologische Pathophysiologie und Verfahrensentwicklung, Klinik für Anästhesiologie, Universitätsklinikum Ulm, Germany.
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Husen P, Tarasov K, Katafiasz M, Sokol E, Vogt J, Baumgart J, Nitsch R, Ekroos K, Ejsing CS. Analysis of lipid experiments (ALEX): a software framework for analysis of high-resolution shotgun lipidomics data. PLoS One 2013; 8:e79736. [PMID: 24244551 PMCID: PMC3820610 DOI: 10.1371/journal.pone.0079736] [Citation(s) in RCA: 117] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Accepted: 09/24/2013] [Indexed: 11/21/2022] Open
Abstract
Global lipidomics analysis across large sample sizes produces high-content datasets that require dedicated software tools supporting lipid identification and quantification, efficient data management and lipidome visualization. Here we present a novel software-based platform for streamlined data processing, management and visualization of shotgun lipidomics data acquired using high-resolution Orbitrap mass spectrometry. The platform features the ALEX framework designed for automated identification and export of lipid species intensity directly from proprietary mass spectral data files, and an auxiliary workflow using database exploration tools for integration of sample information, computation of lipid abundance and lipidome visualization. A key feature of the platform is the organization of lipidomics data in ”database table format” which provides the user with an unsurpassed flexibility for rapid lipidome navigation using selected features within the dataset. To demonstrate the efficacy of the platform, we present a comparative neurolipidomics study of cerebellum, hippocampus and somatosensory barrel cortex (S1BF) from wild-type and knockout mice devoid of the putative lipid phosphate phosphatase PRG-1 (plasticity related gene-1). The presented framework is generic, extendable to processing and integration of other lipidomic data structures, can be interfaced with post-processing protocols supporting statistical testing and multivariate analysis, and can serve as an avenue for disseminating lipidomics data within the scientific community. The ALEX software is available at www.msLipidomics.info.
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Affiliation(s)
- Peter Husen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | | | - Maciej Katafiasz
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Elena Sokol
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Johannes Vogt
- Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Jan Baumgart
- Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Robert Nitsch
- Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Kim Ekroos
- Zora Biosciences Oy, Espoo, Finland
- * E-mail: (CSE); (KE)
| | - Christer S. Ejsing
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
- * E-mail: (CSE); (KE)
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Unsöld B, Kaul A, Sbroggiò M, Schubert C, Regitz-Zagrosek V, Brancaccio M, Damilano F, Hirsch E, Van Bilsen M, Munts C, Sipido K, Bito V, Detre E, Wagner NM, Schäfer K, Seidler T, Vogt J, Neef S, Bleckmann A, Maier LS, Balligand JL, Bouzin C, Ventura-Clapier R, Garnier A, Eschenhagen T, El-Armouche A, Knöll R, Tarone G, Hasenfuß G. Melusin protects from cardiac rupture and improves functional remodelling after myocardial infarction. Cardiovasc Res 2013; 101:97-107. [DOI: 10.1093/cvr/cvt235] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Abstract
Aims
Melusin is a muscle-specific chaperone protein whose expression is required for a compensatory hypertrophy response to pressure overload. Here, we evaluated the consequences of melusin overexpression in the setting of myocardial infarction (MI) using a comprehensive multicentre approach.
Methods and results
Mice overexpressing melusin in the heart (TG) and wild-type controls (WT) were subjected to permanent LAD ligation and both the acute response (Day 3) and subsequent remodelling (2 weeks) were examined. Mortality in wild-type mice was significant between Days 3 and 7, primarily due to cardiac rupture, but melusin's overexpression strongly reduced mortality (43.2% in wild-type vs. 27.3% in melusin-TG, P = 0.005). At Day 3 after MI, a time point preceding the mortality peak, TG hearts had increased heat shock protein 70 expression, increased ERK1/2 signalling, reduced cardiomyocyte hyper-contractility and inflammatory cell infiltrates, and increased matricellular protein expression in the infarcted area.
At 2 weeks after MI, melusin overexpression conferred a favourable adaptive remodelling characterized by reduced left ventricle dilatation and better preserved contractility in the presence of a comparable degree of hypertrophy. Adaptive remodelling in melusin TG mice was characterized by reduced apoptosis and fibrosis as well as increased cardiomyocyte contractility.
Conclusions
Consistent with its function as a chaperone protein, melusin overexpression exerts a dual protective action following MI reducing an array of maladaptive processes. In the early phase after MI, reduced inflammation and myocyte remodelling protect against cardiac rupture. Chronically, reduced myocyte loss and matrix remodelling, with preserved myocyte contractility, confer adaptive LV remodelling.
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Affiliation(s)
- Bernhard Unsöld
- Department of Cardiology, University of Göttingen, Heart Research Center Göttingen, Göttingen, Germany
| | - Axel Kaul
- Department of Cardiology, University of Göttingen, Heart Research Center Göttingen, Göttingen, Germany
| | - Mauro Sbroggiò
- Dipartimento di Biotecnologie Molecolari e Scienze per la Salute, Università di Torino, Turin, Italy
| | - Carola Schubert
- Institute of Gender in Medicine, Charité-Universitätsmedizin, Berlin, Germany
| | | | - Mara Brancaccio
- Dipartimento di Biotecnologie Molecolari e Scienze per la Salute, Università di Torino, Turin, Italy
| | - Federico Damilano
- Dipartimento di Biotecnologie Molecolari e Scienze per la Salute, Università di Torino, Turin, Italy
| | - Emilio Hirsch
- Dipartimento di Biotecnologie Molecolari e Scienze per la Salute, Università di Torino, Turin, Italy
| | - Marc Van Bilsen
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Chantal Munts
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Karin Sipido
- Division of Experimental Cardiology, Department of Cardiovascular Medicine, University of Leuven, Leuven, Belgium
| | - Virginie Bito
- Division of Experimental Cardiology, Department of Cardiovascular Medicine, University of Leuven, Leuven, Belgium
| | - Elke Detre
- Division of Experimental Cardiology, Department of Cardiovascular Medicine, University of Leuven, Leuven, Belgium
| | - Nana Maria Wagner
- Department of Cardiology, University of Göttingen, Heart Research Center Göttingen, Göttingen, Germany
| | - Katrin Schäfer
- Department of Cardiology, University of Göttingen, Heart Research Center Göttingen, Göttingen, Germany
| | - Tim Seidler
- Department of Cardiology, University of Göttingen, Heart Research Center Göttingen, Göttingen, Germany
| | - Johannes Vogt
- Department of Cardiology, University of Göttingen, Heart Research Center Göttingen, Göttingen, Germany
| | - Stefan Neef
- Department of Cardiology, University of Göttingen, Heart Research Center Göttingen, Göttingen, Germany
| | - Annalen Bleckmann
- Department of Hematology and Oncology, University of Göttingen, Göttingen, Germany
| | - Lars S. Maier
- Department of Cardiology, University of Göttingen, Heart Research Center Göttingen, Göttingen, Germany
| | - Jean Luc Balligand
- Pharmacology and Therapeutics, Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
| | - Caroline Bouzin
- Pharmacology and Therapeutics, Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
| | | | | | - Thomas Eschenhagen
- Department of Experimental Pharmacology and Toxicology, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Ali El-Armouche
- Department of Pharmacology, University of Göttingen, Heart Research Center Göttingen, Göttingen, Germany
| | - Ralph Knöll
- Myocardial Genetics, Imperial College London, London, UK
| | - Guido Tarone
- Dipartimento di Biotecnologie Molecolari e Scienze per la Salute, Università di Torino, Turin, Italy
| | - Gerd Hasenfuß
- Department of Cardiology, University of Göttingen, Heart Research Center Göttingen, Göttingen, Germany
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Sokol E, Almeida R, Hannibal-Bach HK, Kotowska D, Vogt J, Baumgart J, Kristiansen K, Nitsch R, Knudsen J, Ejsing CS. Profiling of lipid species by normal-phase liquid chromatography, nanoelectrospray ionization, and ion trap-orbitrap mass spectrometry. Anal Biochem 2013; 443:88-96. [PMID: 23994565 DOI: 10.1016/j.ab.2013.08.020] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Revised: 08/15/2013] [Accepted: 08/19/2013] [Indexed: 01/08/2023]
Abstract
Detailed analysis of lipid species can be challenging due to their structural diversity and wide concentration range in cells, tissues, and biofluids. To address these analytical challenges, we devised a reproducible, sensitive, and integrated lipidomics workflow based on normal-phase liquid chromatography-Fourier transform mass spectrometry (LC-FTMS) and LC-ITMS(2) (ion trap tandem mass spectrometry) for profiling and structural analysis of lipid species. The workflow uses a normal-phase LC system for efficient separation of apolar and polar lipid species combined with sensitive and specific analysis powered by a chip-based nanoelectrospray ion source and a hybrid ion trap-orbitrap mass spectrometer. The workflow was executed using a primary LC-FTMS survey routine for identification and profiling of lipid species based on high-mass accuracy and retention time followed by a targeted LC-ITMS(2) routine for characterizing the fatty acid moieties of identified lipid species. We benchmarked the performance of the workflow by characterizing the chromatographic properties of the LC-MS system for general lipid analysis. In addition, we demonstrate the efficacy of the workflow by reporting a study of low-abundant triacylglycerol and ceramide species in mouse brain cerebellum and 3T3-L1 adipocytes, respectively. The workflow described here is generic and can be extended for detailed lipid analysis of sample matrices having a wide range of lipid compositions.
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Affiliation(s)
- Elena Sokol
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, DK-5230 Odense, Denmark
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Grah C, Griff S, Förster GJ, Vogt J, Bollmann L, McCutcheon A, Temme H, Vogelbusch M, Mairinger T. EBUS-TBNA im primären Diagnostikprozess mit nachfolgendem FDG-PET/CT bei Patienten mit NSCLC. Pneumologie 2013. [DOI: 10.1055/s-0033-1334492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Spinoni J, Antofie T, Barbosa P, Bihari Z, Lakatos M, Szalai S, Szentimrey T, Vogt J. An overview of drought events in the Carpathian Region in 1961–2010. Adv Sci Res 2013. [DOI: 10.5194/asr-10-21-2013] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Abstract. The Carpathians and their rich biosphere are considered to be highly vulnerable to climate change. Drought is one of the major climate-related damaging natural phenomena and in Europe it has been occurring with increasing frequency, intensity, and duration in the last decades. Due to climate change, land cover changes, and intensive land use, the Carpathian Region is one of the areas at highest drought risk in Europe. In order to analyze the drought events over the last 50 yr in the area, we used a 1961–2010 daily gridded temperature and precipitation dataset. From this, monthly 0.1° × 0.1° grids of four drought indicators (Standardized Precipitation-Evapotranspiration Index (SPEI), Standardized Precipitation Index (SPI), Reconnaissance Drought Indicator (RDI), and Palfai Aridity/Drought Index (PADI)) have been calculated. SPI, SPEI, and RDI have been computed at different time scales (3, 6, and 12 months), whilst PADI has been computed on an annual basis. The dataset used in this paper has been constructed in the framework of the CARPATCLIM project, run by a consortium of institutions from 9 countries (Austria, Croatia, Czech Republic, Hungary, Poland, Romania, Serbia, Slovakia, and Ukraine) with scientific support by the Joint Research Centre (JRC) of the European Commission. Temperature and precipitation station data have been collected, quality-checked, completed, homogenized, and interpolated on the 0.1° × 0.1° grid, and drought indicators have been consequently calculated on the grid itself. Monthly and annual series of the cited indicators are presented, together with high-resolution maps and statistical analysis of their correlation. A list of drought events between 1961 and 2010, based on the agreement of the indicators, is presented. We also discuss three case studies: drought in 1990, 2000, and 2003. The drought indicators have been compared both on spatial and temporal scales: it resulted that SPI, SPEI, and RDI are highly comparable, especially over a 12-month accumulation period. SPEI, which includes PET (Potential Evapo-Transpiration) as RDI does, proved to perform best if drought is caused by heat waves, whilst SPI performed best if drought is mainly driven by a rainfall deficit, because SPEI and RDI can be extreme in dry periods. According to PADI, the Carpathian Region has a sufficient natural water supply on average, with some spots that fall into the ''mild dry'' class, and this is also confirmed by the FAO-UNEP aridity index and the Köppen-Geiger climate classification.
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Wojtusch J, Beckerle P, Christ O, Wolff K, von Stryk O, Rinderknecht S, Vogt J. Prosthesis-User-in-the-Loop: a user-specific biomechanical modeling and simulation environment. Annu Int Conf IEEE Eng Med Biol Soc 2013; 2012:4181-4. [PMID: 23366849 DOI: 10.1109/embc.2012.6346888] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
In this paper, a novel biomechanical modeling and simulation environment with an emphasis on user-specific customization is presented. A modular modeling approach for multi-body systems allows a flexible extension by specific biomechanical modeling elements and enables an efficient application in dynamic simulation and optimization problems. A functional distribution of model description and model parameter data in combination with standardized interfaces enables a simple and reliable replacement or modification of specific functional components. The user-specific customization comprises the identification of anthropometric model parameters as well as the generation of a virtual three-dimensional character. The modeling and simulation environment is associated with Prosthesis-User-in-the-Loop, a hardware simulator concept for the design and optimization of lower limb prosthetic devices based on user experience and assessment. For a demonstration of the flexibility and capability of the modeling and simulation environment, an exemplary application in context of the hardware simulator is given.
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Affiliation(s)
- J Wojtusch
- Department of Computer Science, Simulation, Systems Optimization and Robotics Group, Technische Universität Darmstadt, 64289 Darmstadt, Germany.
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Rosca M, Popescu B, Beladan C, Calin A, Gurzun M, Avram A, Enache R, Coman I, Ginghina C, De Sousa CC, Goncalves A, Rangel I, Correia A, Macedo F, Maciel M, Debonnaire P, Thijssen J, Leong D, Joyce E, Bax J, Schalij M, Atsma D, Delgado V, Marsan N, Halmai L, Farkas T, Kalapos A, Domsik P, Sepp R, Forster T, Nemes A, Prinz C, Schwarz M, Ilic I, Laser K, Lehmann R, Vogt J, Van Buuren F, Bogunovic N, Horstkotte D, Faber L, Kim K, Kim Y, Lee S, Kim H, Sohn D, Schnell F, Donal E, Reynaud A, Ridard C, Mabo P, Carre F, Stolfo D, Merlo M, Pinamonti B, Barbati G, Di Lenarda A, Sinagra G, Jurado Roman A, Montero Cabezas J, De Dios Perez S, Garcia Tejada J, Velazquez Martin M, Hernandez Hernandez F, Gonzalez-Trevilla AA, Andreu Dussac J, Tascon Perez J, Montero Cabezas J, Jurado Roman A, De Riva Silva M, Velazquez Martin M, Garcia Tejada J, Hernandez Hernandez F, Albarran Gonzalez-Trevilla A, Andreu Dussac J, Coma Sanmartin R, Tascon Perez J. Hypertrophic cardiomyopathy: function and outcome. Eur Heart J Cardiovasc Imaging 2012. [DOI: 10.1093/ehjci/jes265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Gaaya A, Poirier O, Mougenot N, Hery T, Atassi F, Marchand A, Saulnier-Blache JS, Amour J, Vogt J, Lompré AM, Soubrier F, Nadaud S. Plasticity-related gene-1 inhibits lysophosphatidic acid-induced vascular smooth muscle cell migration and proliferation and prevents neointima formation. Am J Physiol Cell Physiol 2012; 303:C1104-14. [DOI: 10.1152/ajpcell.00051.2012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Plasticity-related gene-1 (PRG-1) protects neuronal cells from lysophosphatidic acid (LPA) effects. In vascular smooth muscle cells (VSMCs), LPA was shown to induce phenotypic modulation in vitro and vascular remodeling in vivo. Thus we explored the role of PRG-1 in modulating VSMC response to LPA. PCR, Western blot, and immunofluorescence experiments showed that PRG-1 is expressed in rat and human vascular media. PRG-1 expression was strongly inhibited in proliferating compared with quiescent VSMCs both in vitro and in vivo (medial vs. neointimal VSMCs), suggesting that PRG-1 expression is dependent on the cell phenotype. In vitro, adenovirus-mediated overexpression of PRG-1 specifically inhibited LPA-induced rat VSMC proliferation and migration but not platelet-derived growth factor-induced proliferation. This effect was abolished by mutation of a conserved histidine in the lipid phosphate phosphatase family that is essential for interaction with lipid phosphates. In vivo, balloon-induced neointimal formation in rat carotid was significantly decreased in vessels infected with PRG-1 adenovirus compared with β-galactosidase adenovirus (−71%; P < 0.05). PRG-1 overexpression abolished the activation of the p42/p44 signaling pathway in LPA-stimulated rat VSMCs in culture and in balloon-injured rat carotids. Taken together, these findings provide the first evidence of a protective role of PRG-1 in the vascular media under pathophysiological conditions.
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Affiliation(s)
- Amira Gaaya
- INSERM, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche UMR_S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
- UPMC Univ Paris 06, Université Pierre et Marie Curie, UMR-S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
| | - Odette Poirier
- INSERM, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche UMR_S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
- UPMC Univ Paris 06, Université Pierre et Marie Curie, UMR-S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
| | - Nathalie Mougenot
- INSERM, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche UMR_S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
- INSERM, Faculté de Médecine Pitié-Salpétrière, PECMV-IFR14, Paris, France
| | - Tiphaine Hery
- INSERM, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche UMR_S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
- UPMC Univ Paris 06, Université Pierre et Marie Curie, UMR-S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
| | - Fabrice Atassi
- INSERM, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche UMR_S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
- UPMC Univ Paris 06, Université Pierre et Marie Curie, UMR-S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
| | - Alexandre Marchand
- INSERM, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche UMR_S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
- UPMC Univ Paris 06, Université Pierre et Marie Curie, UMR-S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
| | - Jean-Sébastien Saulnier-Blache
- INSERM, U1048/I2MC, Toulouse, France
- Université Toulouse III Paul Sabatier, Institut de Médecine Moléculaire de Rangueil, Toulouse, France
| | - Julien Amour
- INSERM, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche UMR_S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
- Department of Anesthesiology and Critical Care Medicine, Centre Hospitalier Universitaire Pitié-Salpêtrière, Paris, France; and
| | - Johannes Vogt
- Institute for Microanatomy and Neurobiology, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Anne-Marie Lompré
- INSERM, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche UMR_S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
- UPMC Univ Paris 06, Université Pierre et Marie Curie, UMR-S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
| | - Florent Soubrier
- INSERM, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche UMR_S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
- UPMC Univ Paris 06, Université Pierre et Marie Curie, UMR-S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
| | - Sophie Nadaud
- INSERM, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche UMR_S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
- UPMC Univ Paris 06, Université Pierre et Marie Curie, UMR-S 956, Faculté de Médecine Pitié-Salpétrière, Paris, France
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Jokisch M, Preller J, Schropp A, Christ O, Beckerle P, Vogt J. The rubber hand illusion paradigm transferred to the lower limb: A physiological, behavioral and subjective approach. Int J Psychophysiol 2012. [DOI: 10.1016/j.ijpsycho.2012.07.150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Aktas O, Smorodchenko A, Brocke S, Infante-Duarte C, Topphoff U, Vogt J, Prozorovski T, Meier S, Osmanova V, Pohl E, Bechmann I, Nitsch R, Zipp F. Neuronal Damage in Autoimmune Neuroinflammation Mediated by the Death Ligand TRAIL. Neuron 2012. [DOI: 10.1016/j.neuron.2012.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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