1
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Ringer SK, Schmid A, Weiss M, Ohlerth S, Spielmann N, Clausen NG. Non-surgical external jugular vein catheterization using an ear vein access in piglets. Lab Anim 2023; 57:642-649. [PMID: 37077144 DOI: 10.1177/00236772231167224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
The objective of this study was to investigate the feasibility of external jugular vein catheterization through an ear vein in piglets. Forty-six sevoflurane-midazolam anaesthetized piglets were included. External jugular vein catheterization was conducted through the ear vein using the Seldinger technique. Part 1 (n = 27): optimal puncture site was based on the deltoid tuberosity as a landmark to reach the external jugular vein. The final position of the catheter was verified in 25 piglets using computer tomography. Catheterization time was recorded and patency of the catheter assessed by repeated blood sampling for up to 4 h. Part 2 (n = 19): ear vein catheterization was without taking into account any landmarks. Functionality for blood sampling was evaluated as described in part 1. Catheter advancement was possible in 25/27 and 18/19 piglets in parts 1 and 2, respectively. Median (range) time required for successful catheterization was 1.95 (1-10) min (n = 38). The deltoid tuberosity was a good landmark to reach the external jugular vein. But blood sampling was also possible through catheters ending slightly cranial to the external jugular vein. Despite successful catheter advancement, blood sampling was not possible from one catheter in each part of the study (total: two piglets). One of these catheters presented luminal damage, while the other one presented as normal after being removed from the animal. Summarizing, central vein catheterization through the ear vein was feasible in 93.5% and repeated blood sampling was possible in 89.1% of the piglets (n = 46).
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Affiliation(s)
- S K Ringer
- Section Anaesthesiology, Department of Clinical Diagnostics and Services, Vetsuisse Faculty University of Zurich, Switzerland
| | - A Schmid
- Section Anaesthesiology, Department of Clinical Diagnostics and Services, Vetsuisse Faculty University of Zurich, Switzerland
| | - M Weiss
- Department of Anaesthesia, University Children's Hospital Zurich, Switzerland
- Children's Research Centre, University Children's Hospital of Zurich, University of Zurich, Switzerland
| | - S Ohlerth
- Clinic of Diagnostic Imaging, Department of Clinical Diagnostics and Services, Vetsuisse Faculty University of Zurich, Switzerland
| | - N Spielmann
- Department of Anaesthesia, University Children's Hospital Zurich, Switzerland
- Children's Research Centre, University Children's Hospital of Zurich, University of Zurich, Switzerland
| | - N G Clausen
- Department of Anaesthesia, University Children's Hospital Zurich, Switzerland
- Children's Research Centre, University Children's Hospital of Zurich, University of Zurich, Switzerland
- Department of Anaesthesiology and Intensive Care, Odense University Hospital, Denmark
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2
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Huang X, Henck J, Qiu C, Sreenivasan VKA, Balachandran S, Amarie OV, Hrabě de Angelis M, Behncke RY, Chan WL, Despang A, Dickel DE, Duran M, Feuchtinger A, Fuchs H, Gailus-Durner V, Haag N, Hägerling R, Hansmeier N, Hennig F, Marshall C, Rajderkar S, Ringel A, Robson M, Saunders LM, da Silva-Buttkus P, Spielmann N, Srivatsan SR, Ulferts S, Wittler L, Zhu Y, Kalscheuer VM, Ibrahim DM, Kurth I, Kornak U, Visel A, Pennacchio LA, Beier DR, Trapnell C, Cao J, Shendure J, Spielmann M. Single-cell, whole-embryo phenotyping of mammalian developmental disorders. Nature 2023; 623:772-781. [PMID: 37968388 PMCID: PMC10665194 DOI: 10.1038/s41586-023-06548-w] [Citation(s) in RCA: 4] [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] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/16/2023] [Indexed: 11/17/2023]
Abstract
Mouse models are a critical tool for studying human diseases, particularly developmental disorders1. However, conventional approaches for phenotyping may fail to detect subtle defects throughout the developing mouse2. Here we set out to establish single-cell RNA sequencing of the whole embryo as a scalable platform for the systematic phenotyping of mouse genetic models. We applied combinatorial indexing-based single-cell RNA sequencing3 to profile 101 embryos of 22 mutant and 4 wild-type genotypes at embryonic day 13.5, altogether profiling more than 1.6 million nuclei. The 22 mutants represent a range of anticipated phenotypic severities, from established multisystem disorders to deletions of individual regulatory regions4,5. We developed and applied several analytical frameworks for detecting differences in composition and/or gene expression across 52 cell types or trajectories. Some mutants exhibit changes in dozens of trajectories whereas others exhibit changes in only a few cell types. We also identify differences between widely used wild-type strains, compare phenotyping of gain- versus loss-of-function mutants and characterize deletions of topological associating domain boundaries. Notably, some changes are shared among mutants, suggesting that developmental pleiotropy might be 'decomposable' through further scaling of this approach. Overall, our findings show how single-cell profiling of whole embryos can enable the systematic molecular and cellular phenotypic characterization of mouse mutants with unprecedented breadth and resolution.
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Affiliation(s)
- Xingfan Huang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Jana Henck
- Institute of Human Genetics, University Medical Center Schleswig-Holstein, University of Lübeck & Kiel University, Lübeck, Germany
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Chengxiang Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Varun K A Sreenivasan
- Institute of Human Genetics, University Medical Center Schleswig-Holstein, University of Lübeck & Kiel University, Lübeck, Germany
| | - Saranya Balachandran
- Institute of Human Genetics, University Medical Center Schleswig-Holstein, University of Lübeck & Kiel University, Lübeck, Germany
| | - Oana V Amarie
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Martin Hrabě de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Experimental Genetics, TUM School of Life Sciences, Technische Universität München, Freising, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Rose Yinghan Behncke
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Wing-Lee Chan
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Alexandra Despang
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Diane E Dickel
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Madeleine Duran
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Annette Feuchtinger
- Core Facility Pathology & Tissue Analytics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Natja Haag
- Institute for Human Genetics and Genomic Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Rene Hägerling
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Nils Hansmeier
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | | | - Cooper Marshall
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA
| | | | - Alessa Ringel
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
| | - Michael Robson
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Lauren M Saunders
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Patricia da Silva-Buttkus
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Sanjay R Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Sascha Ulferts
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Lars Wittler
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Yiwen Zhu
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | | | - Daniel M Ibrahim
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Ingo Kurth
- Institute for Human Genetics and Genomic Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Uwe Kornak
- Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany
| | - Axel Visel
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - David R Beier
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA
- Center for Developmental Biology & Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Junyue Cao
- Laboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
- Howard Hughes Medical Institute, Seattle, WA, USA.
| | - Malte Spielmann
- Institute of Human Genetics, University Medical Center Schleswig-Holstein, University of Lübeck & Kiel University, Lübeck, Germany.
- Max Planck Institute for Molecular Genetics, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), partner site Hamburg/Lübeck/Kiel, Lübeck, Germany.
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3
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Bukas C, Galter I, da Silva-Buttkus P, Fuchs H, Maier H, Gailus-Durner V, Müller CL, Hrabě de Angelis M, Piraud M, Spielmann N. Echo2Pheno: a deep-learning application to uncover echocardiographic phenotypes in conscious mice. Mamm Genome 2023; 34:200-215. [PMID: 37221250 PMCID: PMC10290584 DOI: 10.1007/s00335-023-09996-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/28/2023] [Indexed: 05/25/2023]
Abstract
Echocardiography, a rapid and cost-effective imaging technique, assesses cardiac function and structure. Despite its popularity in cardiovascular medicine and clinical research, image-derived phenotypic measurements are manually performed, requiring expert knowledge and training. Notwithstanding great progress in deep-learning applications in small animal echocardiography, the focus has so far only been on images of anesthetized rodents. We present here a new algorithm specifically designed for echocardiograms acquired in conscious mice called Echo2Pheno, an automatic statistical learning workflow for analyzing and interpreting high-throughput non-anesthetized transthoracic murine echocardiographic images in the presence of genetic knockouts. Echo2Pheno comprises a neural network module for echocardiographic image analysis and phenotypic measurements, including a statistical hypothesis-testing framework for assessing phenotypic differences between populations. Using 2159 images of 16 different knockout mouse strains of the German Mouse Clinic, Echo2Pheno accurately confirms known cardiovascular genotype-phenotype relationships (e.g., Dystrophin) and discovers novel genes (e.g., CCR4-NOT transcription complex subunit 6-like, Cnot6l, and synaptotagmin-like protein 4, Sytl4), which cause altered cardiovascular phenotypes, as verified by H&E-stained histological images. Echo2Pheno provides an important step toward automatic end-to-end learning for linking echocardiographic readouts to cardiovascular phenotypes of interest in conscious mice.
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Affiliation(s)
- Christina Bukas
- Helmholtz AI, Helmholtz Zentrum München, Neuherberg, Germany
| | - Isabella Galter
- Institute of Experimental Genetics, German Research Center for Environmental Health, Neuherberg, Germany
| | - Patricia da Silva-Buttkus
- Institute of Experimental Genetics, German Mouse Clinic, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Holger Maier
- Institute of Experimental Genetics, German Research Center for Environmental Health, Neuherberg, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Christian L Müller
- Helmholtz AI, Helmholtz Zentrum München, Neuherberg, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Statistics, LMU München, Munich, Germany
- Center for Computational Mathematics, Flatiron Institute, New York, USA
| | - Martin Hrabě de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
- Chair of Experimental Genetics, TUM School of Life Sciences, Technische Universität München, Freising, Germany.
- German Center for Diabetes Research (DZD), Neuherberg, Germany.
| | - Marie Piraud
- Helmholtz AI, Helmholtz Zentrum München, Neuherberg, Germany
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
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4
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da Silva-Buttkus P, Spielmann N, Klein-Rodewald T, Schütt C, Aguilar-Pimentel A, Amarie OV, Becker L, Calzada-Wack J, Garrett L, Gerlini R, Kraiger M, Leuchtenberger S, Östereicher MA, Rathkolb B, Sanz-Moreno A, Stöger C, Hölter SM, Seisenberger C, Marschall S, Fuchs H, Gailus-Durner V, Hrabě de Angelis M. Knockout mouse models as a resource for the study of rare diseases. Mamm Genome 2023; 34:244-261. [PMID: 37160609 PMCID: PMC10290595 DOI: 10.1007/s00335-023-09986-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 03/07/2023] [Indexed: 05/11/2023]
Abstract
Rare diseases (RDs) are a challenge for medicine due to their heterogeneous clinical manifestations and low prevalence. There is a lack of specific treatments and only a few hundred of the approximately 7,000 RDs have an approved regime. Rapid technological development in genome sequencing enables the mass identification of potential candidates that in their mutated form could trigger diseases but are often not confirmed to be causal. Knockout (KO) mouse models are essential to understand the causality of genes by allowing highly standardized research into the pathogenesis of diseases. The German Mouse Clinic (GMC) is one of the pioneers in mouse research and successfully uses (preclinical) data obtained from single-gene KO mutants for research into monogenic RDs. As part of the International Mouse Phenotyping Consortium (IMPC) and INFRAFRONTIER, the pan-European consortium for modeling human diseases, the GMC expands these preclinical data toward global collaborative approaches with researchers, clinicians, and patient groups.Here, we highlight proprietary genes that when deleted mimic clinical phenotypes associated with known RD targets (Nacc1, Bach2, Klotho alpha). We focus on recognized RD genes with no pre-existing KO mouse models (Kansl1l, Acsf3, Pcdhgb2, Rabgap1, Cox7a2) which highlight novel phenotypes capable of optimizing clinical diagnosis. In addition, we present genes with intriguing phenotypic data (Zdhhc5, Wsb2) that are not presently associated with known human RDs.This report provides comprehensive evidence for genes that when deleted cause differences in the KO mouse across multiple organs, providing a huge translational potential for further understanding monogenic RDs and their clinical spectrum. Genetic KO studies in mice are valuable to further explore the underlying physiological mechanisms and their overall therapeutic potential.
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Affiliation(s)
- Patricia da Silva-Buttkus
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Tanja Klein-Rodewald
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Christine Schütt
- Institute of Experimental Genetics, Applied Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Antonio Aguilar-Pimentel
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Oana V Amarie
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Lore Becker
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Julia Calzada-Wack
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Lillian Garrett
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Raffaele Gerlini
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Markus Kraiger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Stefanie Leuchtenberger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Manuela A Östereicher
- Institute of Experimental Genetics, Applied Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Birgit Rathkolb
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-Universität München, Feodor-Lynen Strasse 25, 81377, Munich, Germany
| | - Adrián Sanz-Moreno
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Claudia Stöger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Sabine M Hölter
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Claudia Seisenberger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Susan Marschall
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Martin Hrabě de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, Neuherberg, Germany.
- German Center for Diabetes Research (DZD), Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany.
- Chair of Experimental Genetics, TUM School of Life Sciences, Technische Universität München, Alte Akademie 8, 85354, Freising, Germany.
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5
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Rozman J, Yang Z, Spielmann N. Introduction to Mammalian Genome special issue: cardiovascular disease in the Mammalian Genome. Mamm Genome 2023; 34:105-106. [PMID: 37210431 PMCID: PMC10199735 DOI: 10.1007/s00335-023-09998-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Affiliation(s)
- Jan Rozman
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Zhongzhou Yang
- School of Medicine, Nanjing University, 22 Hankou Road, Gulou District, Nanjing, 210093, China
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
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6
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Oestereicher MA, Wotton JM, Ayabe S, Bou About G, Cheng TK, Choi JH, Clary D, Dew EM, Elfertak L, Guimond A, Haseli Mashhadi H, Heaney JD, Kelsey L, Keskivali-Bond P, Lopez Gomez F, Marschall S, McFarland M, Meziane H, Munoz Fuentes V, Nam KH, Nichtová Z, Pimm D, Bower L, Prochazka J, Rozman J, Santos L, Stewart M, Tanaka N, Ward CS, Willett AME, Wilson R, Braun RE, Dickinson ME, Flenniken AM, Herault Y, Lloyd KCK, Mallon AM, McKerlie C, Murray SA, Nutter LMJ, Sedlacek R, Seong JK, Sorg T, Tamura M, Wells S, Schneltzer E, Fuchs H, Gailus-Durner V, Hrabe de Angelis M, White JK, Spielmann N. Comprehensive ECG reference intervals in C57BL/6N substrains provide a generalizable guide for cardiac electrophysiology studies in mice. Mamm Genome 2023; 34:180-199. [PMID: 37294348 PMCID: PMC10290602 DOI: 10.1007/s00335-023-09995-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 04/27/2023] [Indexed: 06/10/2023]
Abstract
Reference ranges provide a powerful tool for diagnostic decision-making in clinical medicine and are enormously valuable for understanding normality in pre-clinical scientific research that uses in vivo models. As yet, there are no published reference ranges for electrocardiography (ECG) in the laboratory mouse. The first mouse-specific reference ranges for the assessment of electrical conduction are reported herein generated from an ECG dataset of unprecedented scale. International Mouse Phenotyping Consortium data from over 26,000 conscious or anesthetized C57BL/6N wildtype control mice were stratified by sex and age to develop robust ECG reference ranges. Interesting findings include that heart rate and key elements from the ECG waveform (RR-, PR-, ST-, QT-interval, QT corrected, and QRS complex) demonstrate minimal sexual dimorphism. As expected, anesthesia induces a decrease in heart rate and was shown for both inhalation (isoflurane) and injectable (tribromoethanol) anesthesia. In the absence of pharmacological, environmental, or genetic challenges, we did not observe major age-related ECG changes in C57BL/6N-inbred mice as the differences in the reference ranges of 12-week-old compared to 62-week-old mice were negligible. The generalizability of the C57BL/6N substrain reference ranges was demonstrated by comparison with ECG data from a wide range of non-IMPC studies. The close overlap in data from a wide range of mouse strains suggests that the C57BL/6N-based reference ranges can be used as a robust and comprehensive indicator of normality. We report a unique ECG reference resource of fundamental importance for any experimental study of cardiac function in mice.
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Affiliation(s)
- Manuela A Oestereicher
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Janine M Wotton
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA
| | - Shinya Ayabe
- Experimental Animal Division, RIKEN BioResource Research Center, 3-1-1 Koyadai, Tsukuba, Ibaraki, 305-0074, Japan
| | - Ghina Bou About
- Université de Strasbourg, CNRS, INSERM, Institut de La Clinique de La Souris, PHENOMIN, 1 Rue Laurent Fries, 67404, Illkirch, France
| | - Tsz Kwan Cheng
- The Mary Lyon Centre, MRC Harwell, Harwell Campus, Oxfordshire, OX11 0RD, UK
| | - Jae-Hoon Choi
- Department of Life Science, College of Natural Sciences, Hanyang Institute of Bioscience and Biotechnology, Research Institute for Natural Sciences, Hanyang University, Seoul, 04763, Republic of Korea
| | - Dave Clary
- Mouse Biology Program, University of California, 2795 Second Street Suite 400, Davis, CA, 95618, USA
| | - Emily M Dew
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA
| | - Lahcen Elfertak
- Université de Strasbourg, CNRS, INSERM, Institut de La Clinique de La Souris, PHENOMIN, 1 Rue Laurent Fries, 67404, Illkirch, France
| | - Alain Guimond
- Université de Strasbourg, CNRS, INSERM, Institut de La Clinique de La Souris, PHENOMIN, 1 Rue Laurent Fries, 67404, Illkirch, France
| | - Hamed Haseli Mashhadi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Jason D Heaney
- Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA
| | - Lois Kelsey
- The Centre for Phenogenomics, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, M5T 3H7, Canada
| | - Piia Keskivali-Bond
- The Mary Lyon Centre, MRC Harwell, Harwell Campus, Oxfordshire, OX11 0RD, UK
| | - Federico Lopez Gomez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Susan Marschall
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | | | - Hamid Meziane
- Université de Strasbourg, CNRS, INSERM, Institut de La Clinique de La Souris, PHENOMIN, 1 Rue Laurent Fries, 67404, Illkirch, France
| | - Violeta Munoz Fuentes
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Ki-Hoan Nam
- Korea Mouse Phenotyping Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Zuzana Nichtová
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Dale Pimm
- The Mary Lyon Centre, MRC Harwell, Harwell Campus, Oxfordshire, OX11 0RD, UK
| | - Lynette Bower
- Mouse Biology Program, University of California, 2795 Second Street Suite 400, Davis, CA, 95618, USA
| | - Jan Prochazka
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Jan Rozman
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Luis Santos
- The Mary Lyon Centre, MRC Harwell, Harwell Campus, Oxfordshire, OX11 0RD, UK
| | - Michelle Stewart
- The Mary Lyon Centre, MRC Harwell, Harwell Campus, Oxfordshire, OX11 0RD, UK
| | - Nobuhiko Tanaka
- Integrated Bioresource Information Division, RIKEN BioResource Research Center, 3-1-1 Koyadai, Tsukuba, Ibaraki, 305-0074, Japan
| | - Christopher S Ward
- Integrative Physiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA
| | | | - Robert Wilson
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Robert E Braun
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA
| | - Mary E Dickinson
- Integrative Physiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA
| | - Ann M Flenniken
- The Centre for Phenogenomics, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, M5T 3H7, Canada
| | - Yann Herault
- Université de Strasbourg, CNRS, INSERM, Institut de La Clinique de La Souris, PHENOMIN, 1 Rue Laurent Fries, 67404, Illkirch, France
| | - K C Kent Lloyd
- Mouse Biology Program, University of California, 2795 Second Street Suite 400, Davis, CA, 95618, USA
| | - Ann-Marie Mallon
- The Mary Lyon Centre, MRC Harwell, Harwell Campus, Oxfordshire, OX11 0RD, UK
| | - Colin McKerlie
- The Centre for Phenogenomics, The Hospital for Sick Children, Toronto, ON, M5T 3H7, Canada
- Department of Laboratory Medicine & Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Stephen A Murray
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA
| | - Lauryl M J Nutter
- The Centre for Phenogenomics, The Hospital for Sick Children, Toronto, ON, M5T 3H7, Canada
| | - Radislav Sedlacek
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Je Kyung Seong
- Laboratory of Developmental Biology and Genomics, College of Veterinary Medicine, and Interdisciplinary Program for Bioinformatics, Korea Mouse Phenotyping CenterBK21 Plus Program for Advanced Veterinary Science, Research Institute for Veterinary ScienceSeoul National University, 599 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea
| | - Tania Sorg
- Université de Strasbourg, CNRS, INSERM, Institut de La Clinique de La Souris, PHENOMIN, 1 Rue Laurent Fries, 67404, Illkirch, France
| | - Masaru Tamura
- Technology and Development Team for Mouse Phenotype Analysis, RIKEN BioResource Research Center, 3-1-1 Koyadai, Tsukuba, Ibaraki, 305-0074, Japan
| | - Sara Wells
- The Mary Lyon Centre, MRC Harwell, Harwell Campus, Oxfordshire, OX11 0RD, UK
| | - Elida Schneltzer
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Martin Hrabe de Angelis
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
- Chair of Experimental Genetics, School of Life Science Weihenstephan, Technische 83 Universität München, Alte Akademie 8, 85354, Freising, Germany.
- German Center for Diabetes Research (DZD), Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany.
| | | | - Nadine Spielmann
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
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7
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Lindovsky J, Nichtova Z, Dragano NRV, Pajuelo Reguera D, Prochazka J, Fuchs H, Marschall S, Gailus-Durner V, Sedlacek R, Hrabě de Angelis M, Rozman J, Spielmann N. A review of standardized high-throughput cardiovascular phenotyping with a link to metabolism in mice. Mamm Genome 2023; 34:107-122. [PMID: 37326672 PMCID: PMC10290615 DOI: 10.1007/s00335-023-09997-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 05/03/2023] [Indexed: 06/17/2023]
Abstract
Cardiovascular diseases cause a high mortality rate worldwide and represent a major burden for health care systems. Experimental rodent models play a central role in cardiovascular disease research by effectively simulating human cardiovascular diseases. Using mice, the International Mouse Phenotyping Consortium (IMPC) aims to target each protein-coding gene and phenotype multiple organ systems in single-gene knockout models by a global network of mouse clinics. In this review, we summarize the current advances of the IMPC in cardiac research and describe in detail the diagnostic requirements of high-throughput electrocardiography and transthoracic echocardiography capable of detecting cardiac arrhythmias and cardiomyopathies in mice. Beyond that, we are linking metabolism to the heart and describing phenotypes that emerge in a set of known genes, when knocked out in mice, such as the leptin receptor (Lepr), leptin (Lep), and Bardet-Biedl syndrome 5 (Bbs5). Furthermore, we are presenting not yet associated loss-of-function genes affecting both, metabolism and the cardiovascular system, such as the RING finger protein 10 (Rfn10), F-box protein 38 (Fbxo38), and Dipeptidyl peptidase 8 (Dpp8). These extensive high-throughput data from IMPC mice provide a promising opportunity to explore genetics causing metabolic heart disease with an important translational approach.
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Affiliation(s)
- Jiri Lindovsky
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
| | - Zuzana Nichtova
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
| | - Nathalia R. V. Dragano
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - David Pajuelo Reguera
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
| | - Jan Prochazka
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Susan Marschall
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Radislav Sedlacek
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
| | - Martin Hrabě de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Jan Rozman
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
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8
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Jacobs HT, Szibor M, Rathkolb B, da Silva-Buttkus P, Aguilar-Pimentel JA, Amarie OV, Becker L, Calzada-Wack J, Dragano N, Garrett L, Gerlini R, Hölter SM, Klein-Rodewald T, Kraiger M, Leuchtenberger S, Marschall S, Östereicher MA, Pfannes K, Sanz-Moreno A, Seisenberger C, Spielmann N, Stoeger C, Wurst W, Fuchs H, de Angelis MH, Gailus-Durner V. AOX delays the onset of the lethal phenotype in a mouse model of Uqcrh (complex III) disease. Biochim Biophys Acta Mol Basis Dis 2023; 1869:166760. [PMID: 37230398 DOI: 10.1016/j.bbadis.2023.166760] [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: 03/09/2023] [Revised: 04/24/2023] [Accepted: 05/16/2023] [Indexed: 05/27/2023]
Abstract
The alternative oxidase, AOX, provides a by-pass of the cytochrome segment of the mitochondrial respiratory chain when the chain is unavailable. AOX is absent from mammals, but AOX from Ciona intestinalis is benign when expressed in mice. Although non-protonmotive, so does not contribute directly to ATP production, it has been shown to modify and in some cases rescue phenotypes of respiratory-chain disease models. Here we studied the effect of C. intestinalis AOX on mice engineered to express a disease-equivalent mutant of Uqcrh, encoding the hinge subunit of mitochondrial respiratory complex III, which results in a complex metabolic phenotype beginning at 4-5 weeks, rapidly progressing to lethality within a further 6-7 weeks. AOX expression delayed the onset of this phenotype by several weeks, but provided no long-term benefit. We discuss the significance of this finding in light of the known and hypothesized effects of AOX on metabolism, redox homeostasis, oxidative stress and cell signaling. Although not a panacea, the ability of AOX to mitigate disease onset and progression means it could be useful in treatment.
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Affiliation(s)
- Howard T Jacobs
- Faculty of Medicine and Health Technology, FI-33014, Tampere University, Finland; Department of Environment and Genetics, La Trobe University, Melbourne, Victoria 3086, Australia.
| | - Marten Szibor
- Faculty of Medicine and Health Technology, FI-33014, Tampere University, Finland; Department of Cardiothoracic Surgery, Center for Sepsis Control and Care (CSCC), Jena University Hospital, Friedrich Schiller University of Jena, Am Klinikum 1, 07747 Jena, Germany
| | - Birgit Rathkolb
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany; Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University München, Feodor-Lynen Str. 25, 81377 Munich, Germany; German Center for Diabetes Research (DZD), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Patricia da Silva-Buttkus
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Juan Antonio Aguilar-Pimentel
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Oana V Amarie
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Lore Becker
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Julia Calzada-Wack
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Nathalia Dragano
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Lillian Garrett
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Raffaele Gerlini
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Sabine M Hölter
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany; Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany
| | - Tanja Klein-Rodewald
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Markus Kraiger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Stefanie Leuchtenberger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Susan Marschall
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Manuela A Östereicher
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Kristina Pfannes
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Adrián Sanz-Moreno
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Claudia Seisenberger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Claudia Stoeger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany; Chair of Developmental Genetics, TUM School of Life Sciences, Technische Universität München, Freising-Weihenstephan, Germany; Deutsches Institut für Neurodegenerative Erkrankungen (DZNE) Site Munich, Feodor-Lynen-Str. 17, 81377 Munich, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
| | - Martin Hrabě de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany; Chair of Experimental Genetics, TUM School of Life Sciences, Technische Universität München, Alte Akademie 8, 85354 Freising, Germany.
| | - Valérie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany
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9
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Cacheiro P, Spielmann N, Mashhadi HH, Fuchs H, Gailus-Durner V, Smedley D, de Angelis MH. Knockout mice are an important tool for human monogenic heart disease studies. Dis Model Mech 2023; 16:288843. [PMID: 36825469 PMCID: PMC10073007 DOI: 10.1242/dmm.049770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 02/15/2023] [Indexed: 02/25/2023] Open
Abstract
Mouse models are relevant to studying the functionality of genes involved in human diseases; however, translation of phenotypes can be challenging. Here, we investigated genes related to monogenic forms of cardiovascular disease based on the Genomics England PanelApp and aligned them to International Mouse Phenotyping Consortium (IMPC) data. We found 153 genes associated with cardiomyopathy, cardiac arrhythmias or congenital heart disease in humans, of which 151 have one-to-one mouse orthologues. For 37.7% (57/151), viability and heart data captured by electrocardiography, transthoracic echocardiography, morphology and pathology from embryos and young adult mice are available. In knockout mice, 75.4% (43/57) of these genes showed non-viable phenotypes, whereas records of prenatal, neonatal or infant death in humans were found for 35.1% (20/57). Multisystem phenotypes are common, with 58.8% (20/34) of heterozygous (homozygous lethal) and 78.6% (11/14) of homozygous (viable) mice showing cardiovascular, metabolic/homeostasis, musculoskeletal, hematopoietic, nervous system and/or growth abnormalities mimicking the clinical manifestations observed in patients. These IMPC data are critical beyond cardiac diagnostics given their multisystemic nature, allowing detection of abnormalities across physiological systems and providing a valuable resource to understand pleiotropic effects.
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Affiliation(s)
- Pilar Cacheiro
- William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
| | - Hamed Haseli Mashhadi
- European Molecular Biology Laboratory-European Bioinformatics Institute, Hinxton CB10 1SD, UK
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
| | - Damian Smedley
- William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK
| | - Martin Hrabĕ de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
- Chair of Experimental Genetics, TUM School of Life Sciences, Technische Universität München, Freising 85354, Germany
- German Center for Diabetes Research (DZD), Neuherberg 85764, Germany
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10
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Garrett L, Trümbach D, Spielmann N, Wurst W, Fuchs H, Gailus-Durner V, Hrabě de Angelis M, Hölter SM. A rationale for considering heart/brain axis control in neuropsychiatric disease. Mamm Genome 2022:10.1007/s00335-022-09974-9. [DOI: 10.1007/s00335-022-09974-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/08/2022] [Indexed: 12/24/2022]
Abstract
AbstractNeuropsychiatric diseases (NPD) represent a significant global disease burden necessitating innovative approaches to pathogenic understanding, biomarker identification and therapeutic strategy. Emerging evidence implicates heart/brain axis malfunction in NPD etiology, particularly via the autonomic nervous system (ANS) and brain central autonomic network (CAN) interaction. This heart/brain inter-relationship harbors potentially novel NPD diagnosis and treatment avenues. Nevertheless, the lack of multidisciplinary clinical approaches as well as a limited appreciation of molecular underpinnings has stymied progress. Large-scale preclinical multi-systemic functional data can therefore provide supplementary insight into CAN and ANS interaction. We here present an overview of the heart/brain axis in NPD and establish a unique rationale for utilizing a preclinical cardiovascular disease risk gene set to glean insights into heart/brain axis control in NPD. With a top-down approach focusing on genes influencing electrocardiogram ANS function, we combined hierarchical clustering of corresponding regional CAN expression data and functional enrichment analysis to reveal known and novel molecular insights into CAN and NPD. Through ‘support vector machine’ inquiries for classification and literature validation, we further pinpointed the top 32 genes highly expressed in CAN brain structures altering both heart rate/heart rate variability (HRV) and behavior. Our observations underscore the potential of HRV/hyperactivity behavior as endophenotypes for multimodal disease biomarker identification to index aberrant executive brain functioning with relevance for NPD. This work heralds the potential of large-scale preclinical functional genetic data for understanding CAN/ANS control and introduces a stepwise design leveraging preclinical data to unearth novel heart/brain axis control genes in NPD.
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11
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Xie K, Fuchs H, Scifo E, Liu D, Aziz A, Aguilar-Pimentel JA, Amarie OV, Becker L, da Silva-Buttkus P, Calzada-Wack J, Cho YL, Deng Y, Edwards AC, Garrett L, Georgopoulou C, Gerlini R, Hölter SM, Klein-Rodewald T, Kramer M, Leuchtenberger S, Lountzi D, Mayer-Kuckuk P, Nover LL, Oestereicher MA, Overkott C, Pearson BL, Rathkolb B, Rozman J, Russ J, Schaaf K, Spielmann N, Sanz-Moreno A, Stoeger C, Treise I, Bano D, Busch DH, Graw J, Klingenspor M, Klopstock T, Mock BA, Salomoni P, Schmidt-Weber C, Weiergräber M, Wolf E, Wurst W, Gailus-Durner V, Breteler MMB, Hrabě de Angelis M, Ehninger D. Deep phenotyping and lifetime trajectories reveal limited effects of longevity regulators on the aging process in C57BL/6J mice. Nat Commun 2022; 13:6830. [PMID: 36369285 PMCID: PMC9652467 DOI: 10.1038/s41467-022-34515-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [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: 03/25/2022] [Accepted: 10/27/2022] [Indexed: 11/13/2022] Open
Abstract
Current concepts regarding the biology of aging are primarily based on studies aimed at identifying factors regulating lifespan. However, lifespan as a sole proxy measure for aging can be of limited value because it may be restricted by specific pathologies. Here, we employ large-scale phenotyping to analyze hundreds of markers in aging male C57BL/6J mice. For each phenotype, we establish lifetime profiles to determine when age-dependent change is first detectable relative to the young adult baseline. We examine key lifespan regulators (putative anti-aging interventions; PAAIs) for a possible countering of aging. Importantly, unlike most previous studies, we include in our study design young treated groups of animals, subjected to PAAIs prior to the onset of detectable age-dependent phenotypic change. Many PAAI effects influence phenotypes long before the onset of detectable age-dependent change, but, importantly, do not alter the rate of phenotypic change. Hence, these PAAIs have limited effects on aging.
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Affiliation(s)
- Kan Xie
- Translational Biogerontology Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Enzo Scifo
- Translational Biogerontology Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Dan Liu
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Ahmad Aziz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany.,Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Juan Antonio Aguilar-Pimentel
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Oana Veronica Amarie
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Lore Becker
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Patricia da Silva-Buttkus
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Julia Calzada-Wack
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Yi-Li Cho
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Yushuang Deng
- Translational Biogerontology Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - A Cole Edwards
- Translational Biogerontology Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Lillian Garrett
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany.,Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Christina Georgopoulou
- Translational Biogerontology Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Raffaele Gerlini
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Sabine M Hölter
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany.,Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Tanja Klein-Rodewald
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | | | - Stefanie Leuchtenberger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Dimitra Lountzi
- Translational Biogerontology Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Phillip Mayer-Kuckuk
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Lena L Nover
- Translational Biogerontology Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Manuela A Oestereicher
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Clemens Overkott
- Translational Biogerontology Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Brandon L Pearson
- Translational Biogerontology Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany.,Mailman School of Public Health, Columbia University, 630W. 168th St., New York, NY, 10032, USA
| | - Birgit Rathkolb
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany.,Member of German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany.,Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Jan Rozman
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany.,Member of German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany.,Institute of Molecular Genetics of the Czech Academy of Sciences, Czech Centre for Phenogenomics, Prumyslova 595, Vestec, 252 50, Czech Republic
| | - Jenny Russ
- Nuclear Function Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Kristina Schaaf
- Translational Biogerontology Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Adrián Sanz-Moreno
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Claudia Stoeger
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Irina Treise
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Daniele Bano
- Aging and Neurodegeneration Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Dirk H Busch
- Institute for Medical Microbiology, Immunology, and Hygiene, Technische Universität München, 81675, Munich, Germany
| | - Jochen Graw
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Martin Klingenspor
- Molecular Nutritional Medicine, Else Kröner-Fresenius Center, Technische Universität München, 85350, Freising-Weihenstephan, Germany
| | - Thomas Klopstock
- Friedrich-Baur-Institut, Department of Neurology, Ludwig-Maximilians-University Munich, 80336, Munich, Germany.,DZNE, German Center for Neurodegenerative Diseases, 80336, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), 80336, Munich, Germany
| | - Beverly A Mock
- Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, Bethesda, MD, 20892, USA
| | - Paolo Salomoni
- Nuclear Function Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany
| | - Carsten Schmidt-Weber
- Center of Allergy & Environment (ZAUM), Technische Universität München, and Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Marco Weiergräber
- Research Group Experimental Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices, 53175, Bonn, Germany
| | - Eckhard Wolf
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany.,DZNE, German Center for Neurodegenerative Diseases, 80336, Munich, Germany.,Chair of Developmental Genetics, TUM School of Life Sciences (SoLS), Technische Universität München, Freising, Germany
| | - Valérie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany.,Institute for Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Martin Hrabě de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany.,Member of German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany.,Chair of Experimental Genetics, TUM School of Life Sciences (SoLS), Technische Universität München, 85354, Freising, Germany
| | - Dan Ehninger
- Translational Biogerontology Lab, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127, Bonn, Germany.
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12
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Garrett L, Da Silva-Buttkus P, Rathkolb B, Gerlini R, Becker L, Sanz-Moreno A, Seisenberger C, Zimprich A, Aguilar-Pimentel A, Amarie OV, Cho YL, Kraiger M, Spielmann N, Calzada-Wack J, Marschall S, Busch D, Schmitt-Weber C, Wolf E, Wurst W, Fuchs H, Gailus-Durner V, Hölter SM, de Angelis MH. Post-synaptic scaffold protein TANC2 in psychiatric and somatic disease risk. Dis Model Mech 2021; 15:273891. [PMID: 34964047 PMCID: PMC8906171 DOI: 10.1242/dmm.049205] [Citation(s) in RCA: 3] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 12/17/2021] [Indexed: 11/20/2022] Open
Abstract
Understanding the shared genetic aetiology of psychiatric and medical comorbidity in neurodevelopmental disorders (NDDs) could improve patient diagnosis, stratification and treatment options. Rare tetratricopeptide repeat, ankyrin repeat and coiled-coil containing 2 (TANC2)-disrupting variants were disease causing in NDD patients. The post-synaptic scaffold protein TANC2 is essential for dendrite formation in synaptic plasticity and plays an unclarified but critical role in development. We here report a novel homozygous-viable Tanc2-disrupted function model in which mutant mice were hyperactive and had impaired sensorimotor gating consistent with NDD patient psychiatric endophenotypes. Yet, a multi-systemic analysis revealed the pleiotropic effects of Tanc2 outside the brain, such as growth failure and hepatocellular damage. This was associated with aberrant liver function including altered hepatocellular metabolism. Integrative analysis indicates that these disrupted Tanc2 systemic effects relate to interaction with Hippo developmental signalling pathway proteins and will increase the risk for comorbid somatic disease. This highlights how NDD gene pleiotropy can augment medical comorbidity susceptibility, underscoring the benefit of holistic NDD patient diagnosis and treatment for which large-scale preclinical functional genomics can provide complementary pleiotropic gene function information. Summary: Disruption of mouse Tanc2 causes brain and liver abnormality, increasing psychiatric and somatic disease risk long term, highlighting the benefit of holistic diagnosis and treatment approaches for human neurodevelopmental disorder.
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Affiliation(s)
- Lillian Garrett
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Patricia Da Silva-Buttkus
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Birgit Rathkolb
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.,Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians University Munich, Munich, Germany
| | - Raffaele Gerlini
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Lore Becker
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Adrian Sanz-Moreno
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Claudia Seisenberger
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Annemarie Zimprich
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Technische Universität München, Freising-Weihenstephan, Germany
| | - Antonio Aguilar-Pimentel
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Oana V Amarie
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Yi-Li Cho
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Markus Kraiger
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nadine Spielmann
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Julia Calzada-Wack
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Susan Marschall
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Dirk Busch
- Institute for Medical Microbiology, Immunology and Hygiene, Technische Universität München, Trogerstrasse 30, 81675 Munich, Germany
| | - Carsten Schmitt-Weber
- Center of Allergy & Environment (ZAUM), Technische Universität München, and Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Eckhard Wolf
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians University Munich, Munich, Germany
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Chair of Developmental Genetics, TUM School of Life Sciences, Technische Universität München, Freising-Weihenstephan, Germany.,Deutsches Institut für Neurodegenerative Erkrankungen (DZNE) Site Munich, Feodor-Lynen-Str. 17, 81377 Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität München, Feodor-Lynen-Str. 17, 81377 Munich, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Sabine M Hölter
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Technische Universität München, Freising-Weihenstephan, Germany
| | - Martin Hrabě de Angelis
- Institute of Experimental Genetics and German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Chair of Experimental Genetics, TUM School of Life Sciences, Technische Universität München, Alte Akademie 8, 85354 Freising, Germany.,German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
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13
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Vidali S, Gerlini R, Thompson K, Urquhart JE, Meisterknecht J, Aguilar‐Pimentel JA, Amarie OV, Becker L, Breen C, Calzada‐Wack J, Chhabra NF, Cho Y, da Silva‐Buttkus P, Feichtinger RG, Gampe K, Garrett L, Hoefig KP, Hölter SM, Jameson E, Klein‐Rodewald T, Leuchtenberger S, Marschall S, Mayer‐Kuckuk P, Miller G, Oestereicher MA, Pfannes K, Rathkolb B, Rozman J, Sanders C, Spielmann N, Stoeger C, Szibor M, Treise I, Walter JH, Wurst W, Mayr JA, Fuchs H, Gärtner U, Wittig I, Taylor RW, Newman WG, Prokisch H, Gailus‐Durner V, Hrabě de Angelis M. Characterising a homozygous two-exon deletion in UQCRH: comparing human and mouse phenotypes. EMBO Mol Med 2021; 13:e14397. [PMID: 34750991 PMCID: PMC8649870 DOI: 10.15252/emmm.202114397] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 10/06/2021] [Accepted: 10/07/2021] [Indexed: 12/27/2022] Open
Abstract
Mitochondrial disorders are clinically and genetically diverse, with isolated complex III (CIII) deficiency being relatively rare. Here, we describe two affected cousins, presenting with recurrent episodes of severe lactic acidosis, hyperammonaemia, hypoglycaemia and encephalopathy. Genetic investigations in both cases identified a homozygous deletion of exons 2 and 3 of UQCRH, which encodes a structural complex III (CIII) subunit. We generated a mouse model with the equivalent homozygous Uqcrh deletion (Uqcrh-/- ), which also presented with lactic acidosis and hyperammonaemia, but had a more severe, non-episodic phenotype, resulting in failure to thrive and early death. The biochemical phenotypes observed in patient and Uqcrh-/- mouse tissues were remarkably similar, displaying impaired CIII activity, decreased molecular weight of fully assembled holoenzyme and an increase of an unexpected large supercomplex (SXL ), comprising mostly of one complex I (CI) dimer and one CIII dimer. This phenotypic similarity along with lentiviral rescue experiments in patient fibroblasts verifies the pathogenicity of the shared genetic defect, demonstrating that the Uqcrh-/- mouse is a valuable model for future studies of human CIII deficiency.
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14
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Auffenberg E, Hedrich UB, Barbieri R, Miely D, Groschup B, Wuttke TV, Vogel N, Lührs P, Zanardi I, Bertelli S, Spielmann N, Gailus-Durner V, Fuchs H, Hrabě de Angelis M, Pusch M, Dichgans M, Lerche H, Gavazzo P, Plesnila N, Freilinger T. Hyperexcitable interneurons trigger cortical spreading depression in an Scn1a migraine model. J Clin Invest 2021; 131:142202. [PMID: 34546973 PMCID: PMC8553559 DOI: 10.1172/jci142202] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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] [Received: 07/16/2020] [Accepted: 09/02/2021] [Indexed: 12/12/2022] Open
Abstract
Cortical spreading depression (CSD), a wave of depolarization followed by depression of cortical activity, is a pathophysiological process implicated in migraine with aura and various other brain pathologies, such as ischemic stroke and traumatic brain injury. To gain insight into the pathophysiology of CSD, we generated a mouse model for a severe monogenic subtype of migraine with aura, familial hemiplegic migraine type 3 (FHM3). FHM3 is caused by mutations in SCN1A, encoding the voltage-gated Na+ channel NaV1.1 predominantly expressed in inhibitory interneurons. Homozygous Scn1aL1649Q knock-in mice died prematurely, whereas heterozygous mice had a normal lifespan. Heterozygous Scn1aL1649Q knock-in mice compared with WT mice displayed a significantly enhanced susceptibility to CSD. We found L1649Q to cause a gain-of-function effect with an impaired Na+-channel inactivation and increased ramp Na+ currents leading to hyperactivity of fast-spiking inhibitory interneurons. Brain slice recordings using K+-sensitive electrodes revealed an increase in extracellular K+ in the early phase of CSD in heterozygous mice, likely representing the mechanistic link between interneuron hyperactivity and CSD initiation. The neuronal phenotype and premature death of homozygous Scn1aL1649Q knock-in mice was partially rescued by GS967, a blocker of persistent Na+ currents. Collectively, our findings identify interneuron hyperactivity as a mechanism to trigger CSD.
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Affiliation(s)
- Eva Auffenberg
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Ulrike Bs Hedrich
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Raffaella Barbieri
- Biophysics Institute, Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy
| | - Daniela Miely
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Bernhard Groschup
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Thomas V Wuttke
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,Department of Neurosurgery, University of Tübingen, Tübingen, Germany
| | - Niklas Vogel
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Philipp Lührs
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Ilaria Zanardi
- Biophysics Institute, Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy
| | - Sara Bertelli
- Biophysics Institute, Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy
| | - Nadine Spielmann
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Valerie Gailus-Durner
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Helmut Fuchs
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Martin Hrabě de Angelis
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Chair of Experimental Genetics, School of Life Science Weihenstephan, Technische Universität München, Freising, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Michael Pusch
- Biophysics Institute, Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Holger Lerche
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Paola Gavazzo
- Biophysics Institute, Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy
| | - Nikolaus Plesnila
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Tobias Freilinger
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,Department of Neurology, Klinikum Passau, Passau, Germany
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15
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Beckert V, Rassmann S, Kayvanjoo AH, Klausen C, Bonaguro L, Botermann DS, Krause M, Moreth K, Spielmann N, da Silva-Buttkus P, Fuchs H, Gailus-Durner V, de Angelis MH, Händler K, Ulas T, Aschenbrenner AC, Mass E, Wachten D. Creld1 regulates myocardial development and function. J Mol Cell Cardiol 2021; 156:45-56. [PMID: 33773996 DOI: 10.1016/j.yjmcc.2021.03.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 02/25/2021] [Accepted: 03/18/2021] [Indexed: 12/14/2022]
Abstract
CRELD1 (Cysteine-Rich with EGF-Like Domains 1) is a risk gene for non-syndromic atrioventricular septal defects in human patients. In a mouse model, Creld1 has been shown to be essential for heart development, particularly in septum and valve formation. However, due to the embryonic lethality of global Creld1 knockout (KO) mice, its cell type-specific function during peri- and postnatal stages remains unknown. Here, we generated conditional Creld1 KO mice lacking Creld1 either in the endocardium (KOTie2) or the myocardium (KOMyHC). Using a combination of cardiac phenotyping, histology, immunohistochemistry, RNA-sequencing, and flow cytometry, we demonstrate that Creld1 function in the endocardium is dispensable for heart development. Lack of myocardial Creld1 causes extracellular matrix remodeling and trabeculation defects by modulation of the Notch1 signaling pathway. Hence, KOMyHC mice die early postnatally due to myocardial hypoplasia. Our results reveal that Creld1 not only controls the formation of septa and valves at an early stage during heart development, but also cardiac maturation and function at a later stage. These findings underline the central role of Creld1 in mammalian heart development and function.
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Affiliation(s)
- Vera Beckert
- Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
| | - Sebastian Rassmann
- Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
| | - Amir Hossein Kayvanjoo
- Life & Medical Institute (LIMES), Developmental Biology of the Immune System, University of Bonn, 53115 Bonn, Germany
| | - Christina Klausen
- Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
| | - Lorenzo Bonaguro
- Life & Medical Institute (LIMES), Genomics and Immunoregulation, University of Bonn, 53115 Bonn, Germany
| | - Dominik Simon Botermann
- Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
| | - Melanie Krause
- Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany
| | - Kristin Moreth
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Nadine Spielmann
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Patricia da Silva-Buttkus
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Helmut Fuchs
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Valerie Gailus-Durner
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Martin Hrabě de Angelis
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, 85764 Neuherberg, Germany; Chair of Experimental Genetics, School of Life Science Weihenstephan, Technical University Munich, 85354 Freising, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Kristian Händler
- German Center for Neurodegenerative Diseases (DZNE), PRECISE Platform for Single Cell Genomics and Epigenomics at the DZNE and the University of Bonn, 53127 Bonn, Germany
| | - Thomas Ulas
- Life & Medical Institute (LIMES), Genomics and Immunoregulation, University of Bonn, 53115 Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), PRECISE Platform for Single Cell Genomics and Epigenomics at the DZNE and the University of Bonn, 53127 Bonn, Germany
| | - Anna C Aschenbrenner
- Life & Medical Institute (LIMES), Genomics and Immunoregulation, University of Bonn, 53115 Bonn, Germany; Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, 6500HB Nijmegen, the Netherlands
| | - Elvira Mass
- Life & Medical Institute (LIMES), Developmental Biology of the Immune System, University of Bonn, 53115 Bonn, Germany.
| | - Dagmar Wachten
- Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127 Bonn, Germany.
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16
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Reimann G, Gerlini R, Spielmann N, Heyne E, Szibor M, Gailus-Durner V, Komlodi T, Gnaiger E, De Angelis MH, Doenst T, Schwarzer M. Defect in Complex III of the Mitochondrial Electron Transfer System Affects Cardiac Insulin Sensitivity but Not Contractile Function. Thorac Cardiovasc Surg 2021. [DOI: 10.1055/s-0041-1725679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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17
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Swan AL, Schütt C, Rozman J, del Mar Muñiz Moreno M, Brandmaier S, Simon M, Leuchtenberger S, Griffiths M, Brommage R, Keskivali-Bond P, Grallert H, Werner T, Teperino R, Becker L, Miller G, Moshiri A, Seavitt JR, Cissell DD, Meehan TF, Acar EF, Lelliott CJ, Flenniken AM, Champy MF, Sorg T, Ayadi A, Braun RE, Cater H, Dickinson ME, Flicek P, Gallegos J, Ghirardello EJ, Heaney JD, Jacquot S, Lally C, Logan JG, Teboul L, Mason J, Spielmann N, McKerlie C, Murray SA, Nutter LMJ, Odfalk KF, Parkinson H, Prochazka J, Reynolds CL, Selloum M, Spoutil F, Svenson KL, Vales TS, Wells SE, White JK, Sedlacek R, Wurst W, Lloyd KCK, Croucher PI, Fuchs H, Williams GR, Bassett JHD, Gailus-Durner V, Herault Y, Mallon AM, Brown SDM, Mayer-Kuckuk P, Hrabe de Angelis M. Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density. PLoS Genet 2020; 16:e1009190. [PMID: 33370286 PMCID: PMC7822523 DOI: 10.1371/journal.pgen.1009190] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [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: 03/25/2020] [Revised: 01/22/2021] [Accepted: 10/13/2020] [Indexed: 12/18/2022] Open
Abstract
The genetic landscape of diseases associated with changes in bone mineral density (BMD), such as osteoporosis, is only partially understood. Here, we explored data from 3,823 mutant mouse strains for BMD, a measure that is frequently altered in a range of bone pathologies, including osteoporosis. A total of 200 genes were found to significantly affect BMD. This pool of BMD genes comprised 141 genes with previously unknown functions in bone biology and was complementary to pools derived from recent human studies. Nineteen of the 141 genes also caused skeletal abnormalities. Examination of the BMD genes in osteoclasts and osteoblasts underscored BMD pathways, including vesicle transport, in these cells and together with in silico bone turnover studies resulted in the prioritization of candidate genes for further investigation. Overall, the results add novel pathophysiological and molecular insight into bone health and disease. Patients affected by osteoporosis frequently present with decreased BMD and increased fracture risk. Genes are known to control the onset and progression of bone diseases such as osteoporosis. Therefore, we aimed to identify osteoporosis-related genes using BMD measures obtained from a large pool of mutant mice genetically modified for deletion of individual genes (knockout mice). In a collaborative endeavor involving several research sites world-wide, we generated and phenotyped 3,823 knockout mice and identified 200 genes which regulated BMD. Of the 200 BMD genes, 141 genes were previously not known to affect BMD. The discovery and study of novel BMD genes will help to better understand the causes and therapeutic options for patients with low BMD. In the long run, this will improve the clinical management of osteoporosis.
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Affiliation(s)
- Anna L. Swan
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, United Kingdom
| | - Christine Schütt
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Jan Rozman
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Czech Center for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences,Vestec, Czech Republic
| | | | - Stefan Brandmaier
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Michelle Simon
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, United Kingdom
| | - Stefanie Leuchtenberger
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Mark Griffiths
- Mouse Informatics Group, Wellcome Sanger Institute, Hinxton, United Kingdom
| | - Robert Brommage
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Piia Keskivali-Bond
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, United Kingdom
| | - Harald Grallert
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Thomas Werner
- Internal Medicine Nephrology and Center for Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Raffaele Teperino
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Lore Becker
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Gregor Miller
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Ala Moshiri
- University of California-Davis School of Medicine, Sacramento, California, United States of America
| | - John R. Seavitt
- Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - Derek D. Cissell
- Department of Surgical & Radiological Sciences, University of California, Davis, California, United States of America
| | - Terrence F. Meehan
- European Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Elif F. Acar
- The Center for Phenogenomics, Toronto, Ontario, Canada
- The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
- Department of Statistics, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Ann M. Flenniken
- The Center for Phenogenomics, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Marie-France Champy
- Université de Strasbourg, CNRS, INSERM, IGBMC, PHENOMIN-ICS, Illkirch, France
| | - Tania Sorg
- Université de Strasbourg, CNRS, INSERM, IGBMC, PHENOMIN-ICS, Illkirch, France
| | - Abdel Ayadi
- Université de Strasbourg, CNRS, INSERM, IGBMC, PHENOMIN-ICS, Illkirch, France
| | - Robert E. Braun
- The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine, United States of America
| | - Heather Cater
- MRC Harwell Institute, Mary Lyon Centre, Harwell Campus, Oxfordshire, United Kingdom
| | - Mary E. Dickinson
- Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
- Departments of Molecular Physiology & Biophysics, Baylor College of Medicine, One Baylor Plaza, Houston,Texas, United States of America
| | - Paul Flicek
- European Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Juan Gallegos
- Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas, United States of America
| | - Elena J. Ghirardello
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, London, United Kingdom
| | - Jason D. Heaney
- Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas, United States of America
| | - Sylvie Jacquot
- Université de Strasbourg, CNRS, INSERM, IGBMC, PHENOMIN-ICS, Illkirch, France
| | - Connor Lally
- MRC Harwell Institute, Mary Lyon Centre, Harwell Campus, Oxfordshire, United Kingdom
| | - John G. Logan
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, London, United Kingdom
| | - Lydia Teboul
- MRC Harwell Institute, Mary Lyon Centre, Harwell Campus, Oxfordshire, United Kingdom
| | - Jeremy Mason
- European Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Nadine Spielmann
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Colin McKerlie
- The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Stephen A. Murray
- The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine, United States of America
| | - Lauryl M. J. Nutter
- The Center for Phenogenomics, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Kristian F. Odfalk
- Advanced Technologies Cores, Baylor College of Medicine, One Baylor Plaza, Houston Texas, United States of America
| | - Helen Parkinson
- European Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Jan Prochazka
- Czech Center for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences,Vestec, Czech Republic
| | - Corey L. Reynolds
- Departments of Molecular Physiology & Biophysics, Baylor College of Medicine, One Baylor Plaza, Houston,Texas, United States of America
| | - Mohammed Selloum
- Université de Strasbourg, CNRS, INSERM, IGBMC, PHENOMIN-ICS, Illkirch, France
| | - Frantisek Spoutil
- Czech Center for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences,Vestec, Czech Republic
| | - Karen L. Svenson
- The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine, United States of America
| | - Taylor S. Vales
- Advanced Technologies Cores, Baylor College of Medicine, One Baylor Plaza, Houston Texas, United States of America
| | - Sara E. Wells
- MRC Harwell Institute, Mary Lyon Centre, Harwell Campus, Oxfordshire, United Kingdom
| | - Jacqueline K. White
- The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine, United States of America
| | - Radislav Sedlacek
- Czech Center for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences,Vestec, Czech Republic
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
- Chair of Developmental Genetics, TUM School of Life Sciences (SoLS), Technische Universität München, Freising, Germany
- Deutsches Institut für Neurodegenerative Erkrankungen (DZNE) Site Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität München, Munich, Germany
| | - K. C. Kent Lloyd
- Department of Surgery, School of Medicine and Mouse Biology Program, University of California Davis
| | - Peter I. Croucher
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- St Vincent’s Clinical School, Faculty of Medicine, Sydney, New South Wales, Australia
- School of Biotechnology and Biomolecular Sciences, UNSW Australia, Sydney, New South Wales, Australia
| | - Helmut Fuchs
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Graham R. Williams
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, London, United Kingdom
| | - J. H. Duncan Bassett
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, London, United Kingdom
| | - Valerie Gailus-Durner
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Yann Herault
- Université de Strasbourg, CNRS, INSERM, IGBMC, Illkirch, France
- Université de Strasbourg, CNRS, INSERM, IGBMC, PHENOMIN-ICS, Illkirch, France
| | - Ann-Marie Mallon
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, United Kingdom
| | - Steve D. M. Brown
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, United Kingdom
| | - Philipp Mayer-Kuckuk
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Martin Hrabe de Angelis
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
- Chair of Experimental Genetics, TUM School of Life Sciences (SoLS), Technische Universität München, Freising, Germany
- * E-mail:
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18
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Haselimashhadi H, Mason JC, Munoz-Fuentes V, López-Gómez F, Babalola K, Acar EF, Kumar V, White J, Flenniken AM, King R, Straiton E, Seavitt JR, Gaspero A, Garza A, Christianson AE, Hsu CW, Reynolds CL, Lanza DG, Lorenzo I, Green JR, Gallegos JJ, Bohat R, Samaco RC, Veeraragavan S, Kim JK, Miller G, Fuchs H, Garrett L, Becker L, Kang YK, Clary D, Cho SY, Tamura M, Tanaka N, Soo KD, Bezginov A, About GB, Champy MF, Vasseur L, Leblanc S, Meziane H, Selloum M, Reilly PT, Spielmann N, Maier H, Gailus-Durner V, Sorg T, Hiroshi M, Yuichi O, Heaney JD, Dickinson ME, Wolfgang W, Tocchini-Valentini GP, Lloyd KCK, McKerlie C, Seong JK, Yann H, de Angelis MH, Brown SDM, Smedley D, Flicek P, Mallon AM, Parkinson H, Meehan TF. Soft windowing application to improve analysis of high-throughput phenotyping data. Bioinformatics 2020; 36:1492-1500. [PMID: 31591642 PMCID: PMC7115897 DOI: 10.1093/bioinformatics/btz744] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 08/20/2019] [Accepted: 10/04/2019] [Indexed: 11/14/2022] Open
Abstract
Motivation High-throughput phenomic projects generate complex data from small treatment and large control groups that increase the power of the analyses but introduce variation over time. A method is needed to utlize a set of temporally local controls that maximizes analytic power while minimizing noise from unspecified environmental factors. Results Here we introduce ‘soft windowing’, a methodological approach that selects a window of time that includes the most appropriate controls for analysis. Using phenotype data from the International Mouse Phenotyping Consortium (IMPC), adaptive windows were applied such that control data collected proximally to mutants were assigned the maximal weight, while data collected earlier or later had less weight. We applied this method to IMPC data and compared the results with those obtained from a standard non-windowed approach. Validation was performed using a resampling approach in which we demonstrate a 10% reduction of false positives from 2.5 million analyses. We applied the method to our production analysis pipeline that establishes genotype–phenotype associations by comparing mutant versus control data. We report an increase of 30% in significant P-values, as well as linkage to 106 versus 99 disease models via phenotype overlap with the soft-windowed and non-windowed approaches, respectively, from a set of 2082 mutant mouse lines. Our method is generalizable and can benefit large-scale human phenomic projects such as the UK Biobank and the All of Us resources. Availability and implementation The method is freely available in the R package SmoothWin, available on CRAN http://CRAN.R-project.org/package=SmoothWin. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Hamed Haselimashhadi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Jeremy C Mason
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Violeta Munoz-Fuentes
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Federico López-Gómez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Kolawole Babalola
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Elif F Acar
- The Centre for Phenogenomics.,The Hospital for Sick Children, Toronto, Canada.,Department of Statistics, University of Manitoba, Winnipeg, MB R3T 2N2 Canada
| | - Vivek Kumar
- The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | - Jacqui White
- The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | - Ann M Flenniken
- The Centre for Phenogenomics.,Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
| | | | | | | | | | | | | | | | | | | | | | | | | | - Ritu Bohat
- Baylor College of Medicine, Houston, TX, USA
| | | | | | - Jong Kyoung Kim
- Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, Korea
| | | | | | | | - Lore Becker
- Helmholtz Center Munich, Neuherberg, Germany
| | | | - David Clary
- Mouse Biology Program, University of California Davis, Davis, CA, USA
| | - Soo Young Cho
- National Cancer Center (NCC) & Korea Mouse Phenotyping Center (KMPC), Korea
| | | | | | - Kyung Dong Soo
- Seoul National University & Korea Mouse Phenotyping Center (KMPC), Korea
| | - Alexandr Bezginov
- The Centre for Phenogenomics.,The Hospital for Sick Children, Toronto, Canada
| | - Ghina Bou About
- Université de Strasbourg, CNRS, INSERM, Institut Clinique de la Souris, PHENOMIN-ICS, 67404 Illkirch, France
| | - Marie-France Champy
- Université de Strasbourg, CNRS, INSERM, Institut Clinique de la Souris, PHENOMIN-ICS, 67404 Illkirch, France
| | - Laurent Vasseur
- Université de Strasbourg, CNRS, INSERM, Institut Clinique de la Souris, PHENOMIN-ICS, 67404 Illkirch, France
| | - Sophie Leblanc
- Université de Strasbourg, CNRS, INSERM, Institut Clinique de la Souris, PHENOMIN-ICS, 67404 Illkirch, France
| | - Hamid Meziane
- Université de Strasbourg, CNRS, INSERM, Institut Clinique de la Souris, PHENOMIN-ICS, 67404 Illkirch, France
| | - Mohammed Selloum
- Université de Strasbourg, CNRS, INSERM, Institut Clinique de la Souris, PHENOMIN-ICS, 67404 Illkirch, France
| | - Patrick T Reilly
- Université de Strasbourg, CNRS, INSERM, Institut Clinique de la Souris, PHENOMIN-ICS, 67404 Illkirch, France
| | | | | | | | - Tania Sorg
- Université de Strasbourg, CNRS, INSERM, Institut Clinique de la Souris, PHENOMIN-ICS, 67404 Illkirch, France
| | | | - Obata Yuichi
- RIKEN BioResource Research Center, Tsukuba, Japan
| | | | | | - Wurst Wolfgang
- Institute of Developmental Genetics, Helmholtz Centre Munich, Munich, Germany
| | | | | | - Colin McKerlie
- The Centre for Phenogenomics.,The Hospital for Sick Children, Toronto, Canada
| | - Je Kyung Seong
- Seoul National University & Korea Mouse Phenotyping Center (KMPC), Korea
| | - Herault Yann
- Université de Strasbourg, CNRS, INSERM, Institut de Génétique, Biologie Moléculaire et Cellulaire, Institut Clinique de la Souris, IGBMC, PHENOMIN-ICS, 67404 Illkirch, France
| | | | | | - Damian Smedley
- William Harvey Research Institute, Charterhouse Square Barts and the London School of Medicine and Dentistry Queen Mary University of London, London EC1M 6BQ, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | | | - Helen Parkinson
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Terrence F Meehan
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
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19
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Lucienne M, Aguilar-Pimentel JA, Amarie OV, Becker L, Calzada-Wack J, da Silva-Buttkus P, Garrett L, Hölter SM, Mayer-Kuckuk P, Rathkolb B, Rozman J, Spielmann N, Treise I, Busch DH, Klopstock T, Schmidt-Weber C, Wolf E, Wurst W, Forny M, Mathis D, Fingerhut R, Froese DS, Gailus-Durner V, Fuchs H, de Angelis MH, Baumgartner MR. In-depth phenotyping reveals common and novel disease symptoms in a hemizygous knock-in mouse model (Mut-ko/ki) of mut-type methylmalonic aciduria. Biochim Biophys Acta Mol Basis Dis 2019; 1866:165622. [PMID: 31770620 DOI: 10.1016/j.bbadis.2019.165622] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 10/14/2019] [Accepted: 11/21/2019] [Indexed: 01/19/2023]
Abstract
Isolated methylmalonic aciduria (MMAuria) is primarily caused by deficiency of methylmalonyl-CoA mutase (MMUT or MUT). Biochemically, MUT deficiency results in the accumulation of methylmalonic acid (MMA), propionyl-carnitine (C3) and other metabolites. Patients often exhibit lethargy, failure to thrive and metabolic decompensation leading to coma or even death, with kidney and neurological impairment frequently identified in the long-term. Here, we report a hemizygous mouse model which combines a knock-in (ki) missense allele of Mut with a knock-out (ko) allele (Mut-ko/ki mice) that was fed a 51%-protein diet from day 12 of life, constituting a bespoke model of MMAuria. Under this diet, mutant mice developed a pronounced metabolic phenotype characterized by drastically increased blood levels of MMA and C3 compared to their littermate controls (Mut-ki/wt). With this bespoke mouse model, we performed a standardized phenotypic screen to assess the whole-body impairments associated with this strong metabolic condition. We found that Mut-ko/ki mice show common clinical manifestations of MMAuria, including pronounced failure to thrive, indications of mild neurological and kidney dysfunction, and degenerative morphological changes in the liver, along with less well described symptoms such as cardiovascular and hematological abnormalities. The analyses also reveal so far unknown disease characteristics, including low bone mineral density, anxiety-related behaviour and ovarian atrophy. This first phenotypic screening of a MMAuria mouse model confirms its relevance to human disease, reveals new alterations associated with MUT deficiency, and suggests a series of quantifiable readouts that can be used to evaluate potential treatment strategies.
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Affiliation(s)
- Marie Lucienne
- Division of Metabolism and Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland; radiz - Rare Disease Initiative Zurich, Clinical Research Priority Program for Rare Diseases, University of Zurich, Zurich, Switzerland; Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Juan Antonio Aguilar-Pimentel
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Oana V Amarie
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Lore Becker
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Julia Calzada-Wack
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Patricia da Silva-Buttkus
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Lillian Garrett
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Sabine M Hölter
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Philipp Mayer-Kuckuk
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Birgit Rathkolb
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University München, Munich, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Jan Rozman
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Nadine Spielmann
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Irina Treise
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Dirk H Busch
- Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich, Trogerstrasse 30, 81675 Munich, Germany
| | - Thomas Klopstock
- German Center for Diabetes Research (DZD), Neuherberg, Germany; Department of Neurology, Friedrich-Baur-Institut, Ludwig-Maximilians-Universität München, Ziemssenstrasse 1a, 80336 Munich, Germany; Deutsches Institut für Neurodegenerative Erkrankungen (DZNE) Site Munich, Schillerstrasse 44, 80336 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität München, Schillerstrasse 44, 80336 Munich, Germany
| | - Carsten Schmidt-Weber
- Center of Allergy & Environment (ZAUM), Technische Universität München, and Helmholtz Zentrum München, Neuherberg, Germany
| | - Eckhard Wolf
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-University München, Munich, Germany
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Deutsches Institut für Neurodegenerative Erkrankungen (DZNE) Site Munich, Schillerstrasse 44, 80336 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität München, Schillerstrasse 44, 80336 Munich, Germany; Chair of Developmental Genetics, Center of Life and Food Sciences Weihenstephan, Technische Universität München, c/o Helmholtz Zentrum München, Neuherberg, Germany
| | - Merima Forny
- Division of Metabolism and Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Déborah Mathis
- Division of Clinical Chemistry and Biochemistry, University Children's Hospital Zurich, Switzerland
| | - Ralph Fingerhut
- Swiss Newborn Screening Laboratory, University Children's Hospital Zurich, Zurich, Switzerland
| | - D Sean Froese
- Division of Metabolism and Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland; radiz - Rare Disease Initiative Zurich, Clinical Research Priority Program for Rare Diseases, University of Zurich, Zurich, Switzerland
| | - Valerie Gailus-Durner
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Helmut Fuchs
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Martin Hrabě de Angelis
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany; Chair of Experimental Genetics, Center of Life and Food Sciences Weihenstephan, Technische Universität München, Freising-Weihenstephan, Germany
| | - Matthias R Baumgartner
- Division of Metabolism and Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland; radiz - Rare Disease Initiative Zurich, Clinical Research Priority Program for Rare Diseases, University of Zurich, Zurich, Switzerland; Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland.
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20
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Bayindir-Buchhalter I, Wolff G, Lerch S, Sijmonsma T, Schuster M, Gronych J, Billeter AT, Babaei R, Krunic D, Ketscher L, Spielmann N, Hrabe de Angelis M, Ruas JL, Müller-Stich BP, Heikenwalder M, Lichter P, Herzig S, Vegiopoulos A. Cited4 is a sex-biased mediator of the antidiabetic glitazone response in adipocyte progenitors. EMBO Mol Med 2019; 10:emmm.201708613. [PMID: 29973382 PMCID: PMC6079535 DOI: 10.15252/emmm.201708613] [Citation(s) in RCA: 6] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Most antidiabetic drugs treat disease symptoms rather than adipose tissue dysfunction as a key pathogenic cause in the metabolic syndrome and type 2 diabetes. Pharmacological targeting of adipose tissue through the nuclear receptor PPARg, as exemplified by glitazone treatments, mediates efficacious insulin sensitization. However, a better understanding of the context‐specific PPARg responses is required for the development of novel approaches with reduced side effects. Here, we identified the transcriptional cofactor Cited4 as a target and mediator of rosiglitazone in human and murine adipocyte progenitor cells, where it promoted specific sets of the rosiglitazone‐dependent transcriptional program. In mice, Cited4 was required for the proper induction of thermogenic expression by Rosi specifically in subcutaneous fat. This phenotype had high penetrance in females only and was not evident in beta‐adrenergically stimulated browning. Intriguingly, this specific defect was associated with reduced capacity for systemic thermogenesis and compromised insulin sensitization upon therapeutic rosiglitazone treatment in female but not male mice. Our findings on Cited4 function reveal novel unexpected aspects of the pharmacological targeting of PPARg.
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Affiliation(s)
- Irem Bayindir-Buchhalter
- DKFZ Junior Group Metabolism and Stem Cell Plasticity, German Cancer Research Center, Heidelberg, Germany
| | - Gretchen Wolff
- DKFZ Junior Group Metabolism and Stem Cell Plasticity, German Cancer Research Center, Heidelberg, Germany
| | - Sarah Lerch
- DKFZ Junior Group Metabolism and Stem Cell Plasticity, German Cancer Research Center, Heidelberg, Germany
| | - Tjeerd Sijmonsma
- Division Chronic Inflammation and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maximilian Schuster
- DKFZ Junior Group Metabolism and Stem Cell Plasticity, German Cancer Research Center, Heidelberg, Germany
| | - Jan Gronych
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Adrian T Billeter
- Department of General, Visceral, and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany
| | - Rohollah Babaei
- DKFZ Junior Group Metabolism and Stem Cell Plasticity, German Cancer Research Center, Heidelberg, Germany
| | - Damir Krunic
- Light Microscopy Facility, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lars Ketscher
- Department of Physiology and Pharmacology, Molecular and Cellular Exercise Physiology, Karolinska Institutet, Stockholm, Sweden
| | - Nadine Spielmann
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Martin Hrabe de Angelis
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Chair of Experimental Genetics, School of Life Science Weihenstephan, Technische Universität München, Freising, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Jorge L Ruas
- Department of Physiology and Pharmacology, Molecular and Cellular Exercise Physiology, Karolinska Institutet, Stockholm, Sweden
| | - Beat P Müller-Stich
- Department of General, Visceral, and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany
| | - Mathias Heikenwalder
- Division Chronic Inflammation and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter Lichter
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Stephan Herzig
- Helmholtz Center Munich, Institute for Diabetes and Cancer IDC, Neuherberg, Germany.,Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany
| | - Alexandros Vegiopoulos
- DKFZ Junior Group Metabolism and Stem Cell Plasticity, German Cancer Research Center, Heidelberg, Germany
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21
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Buehler PK, Spielmann N, Buehrer S, Schmidt AR, Weiss M, Schmitz A. Intraoperative music application in children and adolescents - a pilot study. Acta Anaesthesiol Scand 2017; 61:895-903. [PMID: 28685824 DOI: 10.1111/aas.12935] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 05/29/2017] [Accepted: 06/11/2017] [Indexed: 11/29/2022]
Abstract
BACKGROUND Hospitalization, surgery and anaesthesia may lead to new-onset maladaptive behaviour, emotional distress and trauma. This pilot study aims to investigate the influence of intraoperatively applied music on post-operative behaviour in children and adolescents. METHODS Children with an ASA physical state classification of I or II, aged from 4 to 16 years and scheduled for elective circumcision or inguinal hernia repair under combined general and caudal anaesthesia were included. The children were randomized into two groups. They wore headphones during surgery, and were either exposed to music or not. All involved staff were blinded. Post-operative behaviour was documented by parents on day 7, 14 and 28 after surgery, using a questionnaire adapted from the "Post Hospitalization Behavioural Questionnaire" (PHBQ). Overall occurrence of at least one item indicating maladaptive behaviour was the primary outcome. Data are presented as median (interquartile range). RESULTS In total, 135 children aged 6.6 (5.3-8.5) years, weighing 22 (19-29) kg, were included, with 112 completed questionnaires returned. Overall occurrence of at least one maladaptive item was lower in the music group, with a significantly lower incidence on day 7 (51% vs. 77% in controls; P < 0.01). CONCLUSION Intraoperative music application in children undergoing minor surgical procedures may reduce the incidence of post-operative maladaptive behaviour within the first week.
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Affiliation(s)
- P. K. Buehler
- Department of Anaesthesiology; University Children's Hospital Zurich; Zurich Switzerland
- Children's Research Centre; University Children's Hospital Zurich; Zurich Switzerland
| | - N. Spielmann
- Department of Anaesthesiology; University Children's Hospital Zurich; Zurich Switzerland
- Children's Research Centre; University Children's Hospital Zurich; Zurich Switzerland
| | - S. Buehrer
- Clinic of Psychiatry and Psychotherapy; University Hospital Zurich; Zurich Switzerland
| | - A. R. Schmidt
- Department of Anaesthesiology; University Children's Hospital Zurich; Zurich Switzerland
- Children's Research Centre; University Children's Hospital Zurich; Zurich Switzerland
| | - M. Weiss
- Department of Anaesthesiology; University Children's Hospital Zurich; Zurich Switzerland
- Children's Research Centre; University Children's Hospital Zurich; Zurich Switzerland
| | - A. Schmitz
- Department of Anaesthesiology; University Children's Hospital Zurich; Zurich Switzerland
- Children's Research Centre; University Children's Hospital Zurich; Zurich Switzerland
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Abstract
Intravenous fentanyl (10 mcg/kg) or saline (control) was randomly administered to 10 healthy sevoflurane-mono-anaesthetized piglets. Trembling was assessed by two blinded observers using a visual analogue scale (VAS) and a simple ordinal scale at baseline and 5 min (T5) after drug administration. If no trembling was observed at that time point, the opposite treatment was administered and piglets were re-evaluated after another 5 min (T10). Four out of five piglets showed trembling after fentanyl (T5), while none given saline showed any trembling. With fentanyl the VAS scores were significantly higher at T5 compared either with baseline or with the control treatment. Control animals received fentanyl after the 5 min evaluation and all piglets showed clear trembling afterwards. The median time after fentanyl administration until first muscle tremors was 51 (20–840) s. In summary, nine out of 10 sevoflurane-anaesthetized piglets showed muscle tremors after intravenous fentanyl. Tremors subsided over time and no specific treatment was necessary.
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Affiliation(s)
- S K Ringer
- Section Anaesthesiology Equine Department, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - N Spielmann
- Department of Anaesthesiology, University Children’s Hospital Zurich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - M Weiss
- Department of Anaesthesiology, University Children’s Hospital Zurich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - J Y Mauch
- Department of Anaesthesiology, Luzerner Kantonsspital, Lucerne, Switzerland
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23
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Haas T, Spielmann N, Restin T, Seifert B, Henze G, Obwegeser J, Min K, Jeszenszky D, Weiss M, Schmugge M. Higher fibrinogen concentrations for reduction of transfusion requirements during major paediatric surgery: A prospective randomised controlled trial. Br J Anaesth 2015; 115:234-43. [PMID: 25982134 DOI: 10.1093/bja/aev136] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/22/2015] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Hypofibrinogenaemia is one of the main reasons for development of perioperative coagulopathy during major paediatric surgery. The aim of this study was to assess whether prophylactic maintenance of higher fibrinogen concentrations through administration of fibrinogen concentrate would decrease the volume of transfused red blood cell (RBCs). METHODS In this prospective, randomised, clinical trial, patients aged 6 months to 17 yr undergoing craniosynostosis and scoliosis surgery received fibrinogen concentrate (30 mg kg(-1)) at two predefined intraoperative fibrinogen concentrations [ROTEM(®) FIBTEM maximum clot firmness (MCF) of <8 mm (conventional) or <13 mm (early substitution)]. Total volume of transfused RBCs was recorded over 24 h after start of surgery. RESULTS Thirty children who underwent craniosynostosis surgery and 19 children who underwent scoliosis surgery were treated per protocol. During craniosynostosis surgery, children in the early substitution group received significantly less RBCs (median, 28 ml kg(-1); IQR, 21 to 50 ml kg(-1)) compared with the conventional fibrinogen trigger of <8 mm (median, 56 ml kg(-1); IQR, 28 to 62 ml kg(-1)) (P=0.03). Calculated blood loss as per cent of estimated total blood volume decreased from a median of 160% (IQR, 110-190%) to a median of 90% (IQR, 78-110%) (P=0.017). No significant changes were observed in the scoliosis surgery population. No bleeding events requiring surgical intervention, postoperative transfusions of RBCs, or treatment-related adverse events were observed. CONCLUSIONS Intraoperative administration of fibrinogen concentrate using a FIBTEM MCF trigger level of <13 mm can be successfully used to significantly decrease bleeding, and transfusion requirements in the setting of craniosynostosis surgery, but not scoliosis. CLINICAL TRIAL REGISTRY NUMBER ClinicalTrials.gov NCT01487837.
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Affiliation(s)
- T Haas
- Department of Anaesthesia, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032 Zurich, Switzerland
| | - N Spielmann
- Department of Anaesthesia, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032 Zurich, Switzerland
| | - T Restin
- Department of Anaesthesia, University Hospital Zurich, Zurich, Switzerland
| | - B Seifert
- Department of Biostatistics, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - G Henze
- Department of Anaesthesia, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032 Zurich, Switzerland
| | - J Obwegeser
- Department of Oral and Maxillofacial Surgery, University Children's Hospital Zurich, Zurich, Switzerland
| | - K Min
- Swiss Scoliosis, Centre for Spinal and Scoliosis Surgery, Zurich, Switzerland
| | - D Jeszenszky
- Department of Spine Surgery and Neurosurgery, Schulthess Clinic, Zurich, Switzerland
| | - M Weiss
- Department of Anaesthesia, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032 Zurich, Switzerland
| | - M Schmugge
- Department of Haematology, University Children's Hospital Zurich, Zurich, Switzerland
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Lau C, Kim Y, Chia D, Spielmann N, Eibl G, Elashoff D, Wei F, Lin YL, Moro A, Grogan T, Chiang S, Feinstein E, Schafer C, Farrell J, Wong DTW. Role of pancreatic cancer-derived exosomes in salivary biomarker development. J Biol Chem 2013; 288:26888-97. [PMID: 23880764 DOI: 10.1074/jbc.m113.452458] [Citation(s) in RCA: 182] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Recent studies have demonstrated that discriminatory salivary biomarkers can be readily detected upon the development of systemic diseases such as pancreatic cancer, breast cancer, lung cancer, and ovarian cancer. However, the utility of salivary biomarkers for the detection of systemic diseases has been undermined due to the absence of the biological and mechanistic rationale as to why distal diseases from the oral cavity would lead to the development of discriminatory biomarkers in saliva. Here, we examine the hypothesis that pancreatic tumor-derived exosomes are mechanistically involved in the development of pancreatic cancer-discriminatory salivary transcriptomic biomarkers. We first developed a pancreatic cancer mouse model that yielded discriminatory salivary biomarkers by implanting the mouse pancreatic cancer cell line Panc02 into the pancreas of the syngeneic host C57BL/6. The role of pancreatic cancer-derived exosomes in the development of discriminatory salivary biomarkers was then tested by engineering a Panc02 cell line that is suppressed for exosome biogenesis, implanting into the C56BL/6 mouse, and examining whether the discriminatory salivary biomarker profile was ablated or disrupted. Suppression of exosome biogenesis results in the ablation of discriminatory salivary biomarker development. This study supports that tumor-derived exosomes provide a mechanism in the development of discriminatory biomarkers in saliva and distal systemic diseases.
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Affiliation(s)
- Chang Lau
- From the Dental Research Institute, UCLA School of Dentistry, Los Angeles, California 90095
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Spielmann N, Ilsley D, Gu J, Lea K, Brockman J, Heater S, Setterquist R, Wong DTW. The Human Salivary RNA Transcriptome Revealed by Massively Parallel Sequencing. Clin Chem 2012; 58:1314-21. [DOI: 10.1373/clinchem.2011.176941] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Abstract
BACKGROUND
Evaluation of the salivary transcriptome is an emerging diagnostic technology with discriminatory power for disease detection. This study explored massively parallel sequencing for providing nucleotide-level sequence information for each RNA in saliva.
METHODS
Transcriptome profiling with the SOLiD™ system was applied to RNA isolated from unstimulated cell-free saliva (CFS) and whole saliva (WS) from healthy human volunteers. Sequenced reads were aligned to human genome build 18 and the Human Oral Microbiome Database (HOMD).
RESULTS
Massively parallel sequencing enabled the acquisition of complete sequence information for each nucleotide position of the human salivary transcriptome through alignment to multiple sequence databases. Approximately 20%–25% of the sequenced reads from CFS aligned to the human genome, and approximately 30% of the sequenced reads aligned to the HOMD. We detected the expression of >4000 coding and noncoding genes in CFS and WS. Gene expression at different genome loci showed that the structural integrity of the transcripts for the annotated genes was preserved in saliva.
CONCLUSIONS
A single measurement provided RNA sequence information of gene transcript abundance for both coding and noncoding RNAs and identified sequences from >400 different microbial species within a single sample. Contrary to previous data suggesting that salivary RNA is highly fragmented, in our study the structural integrity of RNA was preserved. The high degree of sequence alignment to annotated exons and introns for each of the respective reference genomes, with sequence coverage spanning the full length of the genes, provides strong evidence that the salivary transcriptome is a complex RNA network.
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Affiliation(s)
- Nadine Spielmann
- UCLA School of Dentistry, Dental Research Institute, Los Angeles, CA
| | - Diane Ilsley
- Life Technologies, Austin, TX
- current affiliation: Asuragen, Austin, TX
| | - Jian Gu
- Life Technologies, Austin, TX
| | | | | | | | | | - David T W Wong
- UCLA School of Dentistry, Dental Research Institute, Los Angeles, CA
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Brinkmann O, Spielmann N, Wong DTW. Salivary diagnostics: moving to the next level. Dent Today 2012; 31:54-59. [PMID: 22746063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
The evolution of salivary diagnostics has reached a new level toward the goal of using saliva as a powerful fluid for early detection and the first line of diagnosis for life-threatening diseases such as cancer, metabolic disorders, infections, and inflammatory diseases. Newly developed tools such as the novel saliva-based POCT and the SKB are helping to realize the goal of making salivary diagnostics available to clinicians worldwide. This is a unique moment where dentistry may be paving a new path for primary healthcare.
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Affiliation(s)
- Ole Brinkmann
- University of California at Los Angeles, Dental Research Institute, USA.
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27
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Mauch J, Spielmann N, Hartnack S, Weiss M. Electrocardiographic and haemodynamic alterations caused by three different test solutions of local anaesthetics to detect accidental intravascular injection in children. Br J Anaesth 2012; 108:283-9. [DOI: 10.1093/bja/aer389] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Haas T, Spielmann N, Mauch J, Madjdpour C, Speer O, Schmugge M, Weiss M. Comparison of thromboelastometry (ROTEM®) with standard plasmatic coagulation testing in paediatric surgery. Br J Anaesth 2011; 108:36-41. [PMID: 22086509 DOI: 10.1093/bja/aer342] [Citation(s) in RCA: 267] [Impact Index Per Article: 20.5] [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] Open
Abstract
BACKGROUND Thromboelastometry (ROTEM(®)) might be useful to detect intraoperative coagulation disorders early in major paediatric surgery. This observational trial compares this technique to standard coagulation tests. METHODS Intraoperative blood sampling was obtained in children undergoing elective major surgery. At each time point, standard coagulation tests [activated partial thromboplastin time (aPTT), prothrombin time (PT), and fibrinogen level] and ROTEM(®) analyses (InTEM, ExTEM, and FibTEM) were performed simultaneously by trained hospital laboratory staff. RESULTS A total of 288 blood samples from 50 subjects were analysed. While there was a poor correlation between PT and aPTT to ExTEM clotting time (CT) and InTEM CT, respectively, a good correlation was detected between PT and aPTT to clot formation time, and a very good correlation between fibrinogen level and FibTEM assay (r=0.882, P<0.001). Notably, 64% of PT and 94% of aPTT measurements were outside the reference range, while impaired CT was observed in 13% and 6.3%, respectively. Standard coagulation test results were available after a median of 53 min [inter-quartile range (IQR): 45-63 min], whereas 10 min values of ROTEM(®) results were available online after 23 min (IQR: 21-24 min). CONCLUSIONS PT and aPTT cannot be interchangeably used with ROTEM(®) CT. Based on the results of ROTEM(®), recommended thresholds for PT and aPTT might overestimate the need for coagulation therapy. A good correlation was found between the fibrinogen level and the FibTEM assay. In addition, ROTEM(®) offered faster turnaround times.
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Affiliation(s)
- T Haas
- Department of Anaesthesia, University Children’s Hospital Zurich, Steinwiesstrasse 75, Zurich 8032, Switzerland.
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Abstract
For the past two decades, salivary diagnostic approaches have been developed to monitor oral diseases such as periodontal diseases and to assess caries risk. Recently, the combination of emerging biotechnologies and salivary diagnostics has extended the range of saliva-based diagnostics from the oral cavity to the whole physiologic system as most compounds found in blood are also present in saliva. Accordingly, saliva can reflect the physiologic state of the body, including emotional, endocrinal, nutritional and metabolic variations and acts as a source for the monitoring of oral and also systemic health. This review presents an update on the status of saliva diagnostics and delves into their applications to the discovery of biomarkers for cancer detection and therapeutic applications. Translating scientific findings of nucleic acids, proteins and metabolites in body fluids to clinical applications is a cumbersome and challenging journey. Our research group is pursuing the biology of salivary analytes and the development of technologies for detection of distinct biomarkers with high sensitivity and specificity. The avenue of saliva diagnostics incorporating transcriptomic, proteomic and metabolomic findings will enable us to connect salivary molecular analytes to monitor therapies, therapeutic outcomes, and finally disease progression in cancer.
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Affiliation(s)
- N Spielmann
- School of Dentistry and Dental Research Institute, University of California at Los Angeles, Los Angeles, CA, USA.
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30
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Brinkmann O, Kastratovic DA, Dimitrijevic MV, Konstantinovic VS, Jelovac DB, Antic J, Nesic VS, Markovic SZ, Martinovic ZR, Akin D, Spielmann N, Zhou H, Wong DT. Oral squamous cell carcinoma detection by salivary biomarkers in a Serbian population. Oral Oncol 2010; 47:51-5. [PMID: 21109482 DOI: 10.1016/j.oraloncology.2010.10.009] [Citation(s) in RCA: 99] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2010] [Revised: 10/18/2010] [Accepted: 10/19/2010] [Indexed: 12/01/2022]
Abstract
Early detection of oral squamous cell cancer (OSCC) is the key to improve the low 5-year survival rate. Using proteomic and genomic technologies we have previously discovered and validated salivary OSCC markers in American patients. The question arises whether these biomarkers are discriminatory in cohorts of different ethnic background. Six transcriptome (DUSP1, IL8, IL1B, OAZ1, SAT1, and S100P) and three proteome (IL1B, IL8, and M2BP) biomarkers were tested on 18 early and 17 late stage OSCC patients and 51 healthy controls with quantitative PCR and ELISA. Four transcriptome (IL8, IL1B, SAT1, and S100P) and all proteome biomarkers were significantly elevated (p<0.05) in OSCC patients. The combination of markers yielded an AUC of 0.86, 0.85 and 0.88 for OSCC total, T1-T2, and T3-T4, respectively. The sensitivity/specificity for OSCC total was 0.89/0.78, for T1-T2 0.67/0.96, and for T3-T4 0.82/0.84. In conclusion, seven of the nine salivary biomarkers (three proteins and four mRNAs) were validated and performed strongest in late stage cancer. Patient-based salivary diagnostics is a highly promising approach for OSCC detection. This study shows that previously discovered and validated salivary OSCC biomarkers are discriminatory and reproducible in a different ethnic cohort. These findings support the feasibility to implement multi-center, multi-ethnicity clinical trials towards the pivotal validation of salivary biomarkers for OSCC detection.
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Affiliation(s)
- Ole Brinkmann
- School of Dentistry and Dental Research Institute, University of California - Los Angeles, 10833 Le Conte Avenue, 73-029 CHS, Los Angeles, CA 90095, USA.
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Spielmann N, Münstermann D, Hagedorn HJ, an der Heiden M, Houareau C, Gunsenheimer-Bartmeyer B, Kücherer C, Keeren K, Hamouda O, Marcus U. Time trends of syphilis and HSV-2 co-infection among men who have sex with men in the German HIV-1 seroconverter cohort from 1996-2007. Sex Transm Infect 2010; 86:331-6. [PMID: 20876750 DOI: 10.1136/sti.2009.040857] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES Numbers of newly diagnosed HIV infections among men who have sex with men (MSM) in Germany increased after the year 2000. We sought to explore trends in STI co-infections around the time of HIV seroconversion in patients from the German HIV-1 seroconverter cohort from 1996-2007. METHODS MSM from the cohort were included for secondary analysis, if seroconversion occurred between 1996 and 2007 and if a blood sample taken within 2 y after HIV infection was available for further testing. Samples were tested for antibodies against Treponema pallidum and HSV-2. A classification system was developed to assign the chronology of syphilis and HIV-1 infection. RESULTS Data of 1052 MSM were eligible for analysis. Overall seroprevalence of syphilis markers was 26%, increasing from 10% (1996-1999) to 35% (2005). Among HIV seroconverters with positive syphilis antibodies, 32% (n=88) were rated as having had coincident infections with HIV and syphilis. Coincident syphilis infection at HIV diagnosis increased substantially (p<0.001) from 2.3% in 2000 to 16.9% in 2003; and thereafter declined to 4.3% in 2007. Mean HSV-2 antibody prevalence was 40.5%, mean anti-HSV-2 IgM prevalence was 11.2%, with no significant change over time. DISCUSSION We found a stable prevalence of HSV-2 infection and increasing prevalence of syphilis infection around the time of HIV acquisition among MSM in Germany. Time course and rate of co-infections suggest that a re-emerging syphilis co-epidemic among MSM after 2000 could have contributed to an increase of HIV incidence by enhancing HIV transmission probability.
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Affiliation(s)
- Nadine Spielmann
- Department of Infectious Disease Epidemiology, HIV/AIDS, STI Unit, Robert Koch Institute, Berlin 13086, Germany
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Mauch J, Kutter A, Madjdpour C, Spielmann N, Balmer C, Frotzler A, Bettschart-Wolfensberger R, Weiss M. Electrocardiographic changes during continuous intravenous application of bupivacaine in neonatal pigs. Br J Anaesth 2010; 105:437-41. [DOI: 10.1093/bja/aeq197] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Dave M, Frotzler A, Spielmann N, Madjdpour C, Weiss M. Effect of tracheal tube cuff shape on fluid leakage across the cuff: an in vitro study. Br J Anaesth 2010; 105:538-43. [DOI: 10.1093/bja/aeq202] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
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34
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Spielmann N, Mutch DM, Rousseau F, Tores F, Hager J, Bertrais S, Basdevant A, Tounian P, Dubern B, Galan P, Clément K. Cathepsin S genotypes are associated with Apo-A1 and HDL-cholesterol in lean and obese French populations. Clin Genet 2008; 74:155-63. [DOI: 10.1111/j.1399-0004.2008.01043.x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Spielmann N, Leon AS, Rao DC, Rice T, Skinner JS, Rankinen T, Bouchard C. Genome-wide linkage scan for submaximal exercise heart rate in the HERITAGE family study. Am J Physiol Heart Circ Physiol 2007; 293:H3366-71. [DOI: 10.1152/ajpheart.00042.2007] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The purpose of this study was to identify regions of the human genome linked to submaximal exercise heart rates in the sedentary state and in response to a standardized 20-wk endurance training program in blacks and whites of the HERITAGE Family Study. A total of 701 polymorphic markers covering the 22 autosomes were used in the genome-wide linkage scan, with 328 sibling pairs from 99 white nuclear families and 102 pairs from 115 black family units. Steady-state heart rates were measured at the relative intensity of 60% maximal oxygen uptake (HR60) and at the absolute intensity of 50 W (HR50). Baseline phenotypes were adjusted for age, sex, and baseline body mass index (BMI) and training responses (posttraining minus baseline, Δ) were adjusted for age, sex, baseline BMI, and baseline value of the phenotype. Two analytic strategies were used, a multipoint variance components and a regression-based multipoint linkage analysis. In whites, promising linkages (LOD > 1.75) were identified on 18q21-q22 for baseline HR50 (LOD = 2.64; P = 0.0002) and ΔHR60 (LOD = 2.10; P = 0.0009) and on chromosome 2q33.3 for ΔHR50 (LOD = 2.13; P = 0.0009). In blacks, evidence of promising linkage for baseline HR50 was detected with several markers within the chromosomal region 10q24-q25.3 (peak LOD = 2.43, P = 0.0004 with D10S597). The most promising regions for fine mapping in the HERITAGE Family Study were found on 2q33 for HR50 training response in whites, on 10q25-26 for baseline HR60 in blacks, and on 18q21–22 for both baseline HR50 and ΔHR60 in whites.
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Patzak A, Steege A, Lai EY, Brinkmann JO, Kupsch E, Spielmann N, Gericke A, Skalweit A, Stegbauer J, Persson PB, Seeliger E. Angiotensin II response in afferent arterioles of mice lacking either the endothelial or neuronal isoform of nitric oxide synthase. Am J Physiol Regul Integr Comp Physiol 2007; 294:R429-37. [PMID: 17959704 DOI: 10.1152/ajpregu.00482.2007] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The aim of the study is to evaluate the impact of nitric oxide (NO) produced by endothelial NO synthase (eNOS) and neuronal NOS (nNOS) on the angiotensin II response in afferent arterioles (Af). Dose responses were assessed for angiotensin II in microperfused Af of mice homozygous for disruption of the eNOS gene [eNOS(-/-)], or nNOS gene [nNOS(-/-)], and their wild-type controls, eNOS(+/+) and nNOS(+/+). Angiotensin II at 10(-8) and 10(-6) mol/l reduced the lumen to 69% and 68% in eNOS(+/+), and to 59% and 50% in nNOS(+/+). N(G)-nitro-L-arginine methyl ester (L-NAME) did not change basal arteriolar diameters, but augmented angiotensin II contraction, reducing diameters to 23% and 13% in eNOS(+/+), and 7% and 10% in nNOS(+/+) at 10(-8) and 10(-6) mol/l. The response to angiotensin II was enhanced in nNOS(-/-) mice (41% and 25% at 10(-8) and 10(-6) mol/l) and even more enhanced in eNOS(-/-) mice (12% and 9%) compared with nNOS(+/+) and eNOS(+/+). L-NAME led to complete constriction of Af in these groups. Media-to-lumen ratios of Af did not differ between controls and gene-deficient mice. mRNA expression of angiotensin II receptor types 1A and 1B and type 2 also did not differ. The results reveal that angiotensin II-induced release of NO from both eNOS and nNOS significantly contributes to the control of Af. Results also suggest that eNOS-derived NO is of greater importance than nNOS-derived NO in this isolated arteriolar preparation.
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Affiliation(s)
- Andreas Patzak
- Institut für Vegetative Physiologie, Humboldt-Universität zu Berlin, Universitätsklinikum Charité, Tucholskystrasse 2, 10117 Berlin.
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Abstract
Associations between cholesteryl ester transfer protein (CETP) polymorphisms and high-density lipoprotein cholesterol (HDL-c) levels before and after 20 wk of endurance training were investigated in the HERITAGE Family Study. Plasma HDL-c, HDL2-c, HDL3-c, and apolipoprotein (apo)A1 levels were measured, and 13 CETP single nucleotide polymorphisms (SNPs) were genotyped in 265 blacks and 486 whites. Three haplotypes defined by SNPs at the −1337, −971, and −629 sites were strongly associated with baseline HDL-c levels in whites. Both C−1337T and C−629A were associated with baseline HDL-c ( P < 0.001) and apoA1 ( P < 0.01) when tested separately. However, only C−629A remained significant in a combined model. G−971A was not associated with HDL phenotypes, but showed significant interactions with C−629A ( P = 0.002) on baseline traits. Genotype-by-sex interactions were observed at the −629 locus for HDL3-c ( P = 0.004) and apoA1 ( P = 0.02) training responses in whites. In women, the −629 A/A homozygotes showed greater increases in HDL3-c ( P = 0.02) and apoA1 ( P = 0.02) levels than the other genotypes. Finally, apolipoprotein E (APOE) genotype and the CETP C−629A locus contributed independently and in additive fashion to the HDL traits, explaining 6.0–8.8% of the variance. The CETP −1337T and −629A alleles are associated with higher baseline HDL-c and apoA1 levels. The beneficial effects of endurance training on plasma HDL3-c and apoA1 levels are evident in white women homozygous for the −629A allele. The CETP and APOE genotypes account for up to 9% of the variance in HDL-c phenotypes in the HERITAGE Family Study.
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Affiliation(s)
- Nadine Spielmann
- Human Genomics Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana 70808-4124, USA
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Lai EY, Patzak A, Steege A, Mrowka R, Brown R, Spielmann N, Persson PB, Fredholm BB, Persson AEG. Contribution of adenosine receptors in the control of arteriolar tone and adenosine–angiotensin II interaction. Kidney Int 2006; 70:690-8. [PMID: 16807541 DOI: 10.1038/sj.ki.5001650] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Adenosine (Ado) mediates vasoconstriction via A(1)-Ado receptors and vasodilation via A(2)-Ado receptors in the kidney. It interacts with angiotensin II (Ang II), which is important for renal hemodynamics and tubuloglomerular feedback (TGF). The aim was to investigate the function of Ado receptors in the Ado-Ang II interaction in mouse microperfused, afferent arterioles. Ado (10(-11)-10(-4) mol/l) caused a biphasic response: arteriolar diameters were reduced (-7%) at Ado 10(-11)-10(-9) mol/l and returned to control values at higher concentrations. Treatment with Ang II (10(-10) mol/l) transformed the response into a concentration-dependent constriction. N(6)-cyclopentyladenosine (A(1)-Ado receptor agonist) reduced diameters (12% at 10(-6) mol/l). Application of CGS21680 (10(-12)-10(-4) mol/l, A(2A) receptor agonist) increased the diameter by 13%. Pretreatment with ZM241385 (A(2A)-Ado receptor antagonist) alone or in combination with MRS1706 (A(2B)-Ado receptor antagonist) resulted in a pure constriction upon Ado, whereas 8-cyclopentyltheophylline (CPT) (A(1)-Ado receptor antagonist) inhibited the constrictor response. Afferent arterioles of mice lacking A(1)-Ado receptor did not show constriction upon Ado. Treatment with Ado (10(-8) mol/l) increased the response upon Ang II, which was blocked by CPT. Ado (10(-5) mol/l) did not influence the Ang II response, but an additional blockade of A(2)-Ado receptors enhanced it. The action of Ado on constrictor A(1)-Ado receptors and dilatory A(2)-Ado receptors modulates the interaction with Ang II. Both directions of Ado-Ang II interaction, which predominantly leads to an amplification of the contractile response, are important for the operation of the TGF.
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Affiliation(s)
- E Y Lai
- Department of Medical Cell Biology, Division of Physiology, University of Uppsala, Uppsala, Sweden
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Spielmann N, Rankinen T, Rice T, Leon AS, Rao DC, Skinner JS, Bouchard C. CETP C>->−629>A Genotypes and HDL-Cholesterol Phenotypes in the HERITAGE Family Study. Med Sci Sports Exerc 2006. [DOI: 10.1249/00005768-200605001-02419] [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: 11/21/2022]
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