1
|
Griffin PT, Kane AE, Trapp A, Li J, Arnold M, Poganik JR, Conway RJ, McNamara MS, Meer MV, Hoffman N, Amorim JA, Tian X, MacArthur MR, Mitchell SJ, Mueller AL, Carmody C, Vera DL, Kerepesi C, Ying K, Noren Hooten N, Mitchell JR, Evans MK, Gladyshev VN, Sinclair DA. TIME-seq reduces time and cost of DNA methylation measurement for epigenetic clock construction. Nat Aging 2024; 4:261-274. [PMID: 38200273 DOI: 10.1038/s43587-023-00555-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 12/05/2023] [Indexed: 01/12/2024]
Abstract
Epigenetic 'clocks' based on DNA methylation have emerged as the most robust and widely used aging biomarkers, but conventional methods for applying them are expensive and laborious. Here we develop tagmentation-based indexing for methylation sequencing (TIME-seq), a highly multiplexed and scalable method for low-cost epigenetic clocks. Using TIME-seq, we applied multi-tissue and tissue-specific epigenetic clocks in over 1,800 mouse DNA samples from eight tissue and cell types. We show that TIME-seq clocks are accurate and robust, enriched for polycomb repressive complex 2-regulated loci, and benchmark favorably against conventional methods despite being up to 100-fold less expensive. Using dietary treatments and gene therapy, we find that TIME-seq clocks reflect diverse interventions in multiple tissues. Finally, we develop an economical human blood clock (R > 0.96, median error = 3.39 years) in 1,056 demographically representative individuals. These methods will enable more efficient epigenetic clock measurement in larger-scale human and animal studies.
Collapse
Affiliation(s)
- Patrick T Griffin
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Alice E Kane
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
- Institute for Systems Biology, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Alexandre Trapp
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Jien Li
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Matthew Arnold
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Jesse R Poganik
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Ryan J Conway
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Maeve S McNamara
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Margarita V Meer
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Noah Hoffman
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - João A Amorim
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Xiao Tian
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Michael R MacArthur
- Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Sarah J Mitchell
- Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland
- Ludwig Princeton Branch, Princeton University, Princeton, NJ, USA
| | - Amber L Mueller
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
- Cell Metabolism, Cell Press, Cambridge, MA, USA
| | - Colleen Carmody
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Daniel L Vera
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Csaba Kerepesi
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Institute for Computer Science and Control, Eötvös Loránd Research Network, Budapest, Hungary
| | - Kejun Ying
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - James R Mitchell
- Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland
| | - Michele K Evans
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Vadim N Gladyshev
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - David A Sinclair
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
2
|
Zhang B, Lee DE, Trapp A, Tyshkovskiy A, Lu AT, Bareja A, Kerepesi C, McKay LK, Shindyapina AV, Dmitriev SE, Baht GS, Horvath S, Gladyshev VN, White JP. Multi-omic rejuvenation and life span extension on exposure to youthful circulation. Nat Aging 2023; 3:948-964. [PMID: 37500973 PMCID: PMC11095548 DOI: 10.1038/s43587-023-00451-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 06/06/2023] [Indexed: 07/29/2023]
Abstract
Heterochronic parabiosis (HPB) is known for its functional rejuvenation effects across several mouse tissues. However, its impact on biological age and long-term health is unknown. Here we performed extended (3-month) HPB, followed by a 2-month detachment period of anastomosed pairs. Old detached mice exhibited improved physiological parameters and lived longer than control isochronic mice. HPB drastically reduced the epigenetic age of blood and liver based on several clock models using two independent platforms. Remarkably, this rejuvenation effect persisted even after 2 months of detachment. Transcriptomic and epigenomic profiles of anastomosed mice showed an intermediate phenotype between old and young, suggesting a global multi-omic rejuvenation effect. In addition, old HPB mice showed gene expression changes opposite to aging but akin to several life span-extending interventions. Altogether, we reveal that long-term HPB results in lasting epigenetic and transcriptome remodeling, culminating in the extension of life span and health span.
Collapse
Affiliation(s)
- Bohan Zhang
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - David E Lee
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
| | - Alexandre Trapp
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Retro Biosciences, Redwood City, CA, USA
| | - Alexander Tyshkovskiy
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Belozersky Institute of Physico-Chemical Biology, Moscow State University, Moscow, Russia
| | - Ake T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Altos Labs, San Diego, CA, USA
| | - Akshay Bareja
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
| | - Csaba Kerepesi
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network, Budapest, Hungary
| | - Lauren K McKay
- Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
- Division of Oral and Craniofacial Health Sciences, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anastasia V Shindyapina
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Retro Biosciences, Redwood City, CA, USA
| | - Sergey E Dmitriev
- Belozersky Institute of Physico-Chemical Biology, Moscow State University, Moscow, Russia
| | - Gurpreet S Baht
- Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
- Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, NC, USA
- Duke Center for the Study of Aging and Human Development, Duke University School of Medicine, Durham, NC, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Biostatistics, School of Public Health, University of California, Los Angeles, CA, USA
- Altos Labs, San Diego, CA, USA
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - James P White
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
- Duke Molecular Physiology Institute, Duke University, Durham, NC, USA.
- Duke Center for the Study of Aging and Human Development, Duke University School of Medicine, Durham, NC, USA.
| |
Collapse
|
3
|
Emmrich S, Trapp A, Tolibzoda Zakusilo F, Straight ME, Ying AK, Tyshkovskiy A, Mariotti M, Gray S, Zhang Z, Drage MG, Takasugi M, Klusmann J, Gladyshev VN, Seluanov A, Gorbunova V. Characterization of naked mole-rat hematopoiesis reveals unique stem and progenitor cell patterns and neotenic traits. EMBO J 2022; 41:e109694. [PMID: 35694726 PMCID: PMC9340489 DOI: 10.15252/embj.2021109694] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 05/03/2022] [Accepted: 05/06/2022] [Indexed: 12/13/2022] Open
Abstract
Naked mole rats (NMRs) are the longest-lived rodents yet their stem cell characteristics remain enigmatic. Here, we comprehensively mapped the NMR hematopoietic landscape and identified unique features likely contributing to longevity. Adult NMRs form red blood cells in spleen and marrow, which comprise a myeloid bias toward granulopoiesis together with decreased B-lymphopoiesis. Remarkably, youthful blood and marrow single-cell transcriptomes and cell compositions are largely maintained until at least middle age. Similar to primates, the primitive stem and progenitor cell (HSPC) compartment is marked by CD34 and THY1. Stem cell polarity is seen for Tubulin but not CDC42, and is not lost until 12 years of age. HSPC respiration rates are as low as in purified human stem cells, in concert with a strong expression signature for fatty acid metabolism. The pool of quiescent stem cells is higher than in mice, and the cell cycle of hematopoietic cells is prolonged. By characterizing the NMR hematopoietic landscape, we identified resilience phenotypes such as an increased quiescent HSPC compartment, absence of age-related decline, and neotenic traits likely geared toward longevity.
Collapse
Affiliation(s)
| | | | | | | | - Albert K Ying
- Division of GeneticsDepartment of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA
| | - Alexander Tyshkovskiy
- Division of GeneticsDepartment of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA
| | - Marco Mariotti
- Division of GeneticsDepartment of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA
| | - Spencer Gray
- Department of BiologyUniversity of RochesterRochesterNYUSA
| | - Zhihui Zhang
- Department of BiologyUniversity of RochesterRochesterNYUSA
| | - Michael G Drage
- Pathology and Laboratory MedicineUniversity of Rochester Medical CenterRochesterNYUSA
| | | | - Jan‐Henning Klusmann
- Pediatric Hematology and OncologyMartin‐Luther‐University Halle‐WittenbergHalleGermany
| | - Vadim N Gladyshev
- Division of GeneticsDepartment of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA
| | | | - Vera Gorbunova
- Department of BiologyUniversity of RochesterRochesterNYUSA
| |
Collapse
|
4
|
Meron E, Thaysen M, Angeli S, Antebi A, Barzilai N, Baur JA, Bekker-Jensen S, Birkisdottir M, Bischof E, Bruening J, Brunet A, Buchwalter A, Cabreiro F, Cai S, Chen BH, Ermolaeva M, Ewald CY, Ferrucci L, Florian MC, Fortney K, Freund A, Georgievskaya A, Gladyshev VN, Glass D, Golato T, Gorbunova V, Hoejimakers J, Houtkooper RH, Jager S, Jaksch F, Janssens G, Jensen MB, Kaeberlein M, Karsenty G, de Keizer P, Kennedy B, Kirkland JL, Kjaer M, Kroemer G, Lee KF, Lemaitre JM, Liaskos D, Longo VD, Lu YX, MacArthur MR, Maier AB, Manakanatas C, Mitchell SJ, Moskalev A, Niedernhofer L, Ozerov I, Partridge L, Passegué E, Petr MA, Peyer J, Radenkovic D, Rando TA, Rattan S, Riedel CG, Rudolph L, Ai R, Serrano M, Schumacher B, Sinclair DA, Smith R, Suh Y, Taub P, Trapp A, Trendelenburg AU, Valenzano DR, Verburgh K, Verdin E, Vijg J, Westendorp RGJ, Zonari A, Bakula D, Zhavoronkov A, Scheibye-Knudsen M. Meeting Report: Aging Research and Drug Discovery. Aging (Albany NY) 2022. [PMID: 35089871 PMCID: PMC8833115 DOI: 10.18632/aging.203859] [Citation(s) in RCA: 2] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Aging is the single largest risk factor for most chronic diseases, and thus possesses large socioeconomic interest to continuously aging societies. Consequently, the field of aging research is expanding alongside a growing focus from the industry and investors in aging research. This year’s 8th Annual Aging Research and Drug Discovery (ARDD) meeting was organized as a hybrid meeting from August 30th to September 3rd 2021 with more than 130 attendees participating on-site at the Ceremonial Hall at University of Copenhagen, Denmark, and 1800 engaging online. The conference comprised of presentations from 75 speakers focusing on new research in topics including mechanisms of aging and how these can be modulated as well as the use of AI and new standards of practices within aging research. This year, a longevity workshop was included to build stronger connections with the clinical community.
Collapse
Affiliation(s)
- Esther Meron
- Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Maria Thaysen
- Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Suzanne Angeli
- Buck Institute for Research on Aging, Novato, CA 94945, USA
| | - Adam Antebi
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Nir Barzilai
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.,Institute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Joseph A Baur
- Smilow Center for Translational Research, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Simon Bekker-Jensen
- Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Maria Birkisdottir
- Department of Molecular Genetics, Erasmus MC, Rotterdam, Netherlands.,Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | - Evelyne Bischof
- Shanghai University of Medicine and Health Sciences, College of Clinical Medicine, Shanghai, China
| | - Jens Bruening
- Max Planck Institute for Metabolism Research, Cologne, Germany
| | - Anne Brunet
- Department of Genetics, Stanford School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Abigail Buchwalter
- Cardiovascular Research Institute, University of California, San Francisco, CA 94158, USA
| | - Filipe Cabreiro
- Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, London W12 0NN, UK.,CECAD Research Center, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Shiqing Cai
- Institute of Neuroscience, Chinese Academy of Science, Shanghai, China
| | - Brian H Chen
- FOXO Technologies Inc, Minneapolis, MN 55402, USA.,The Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA 92093, USA
| | | | - Collin Y Ewald
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach CH-8603, Switzerland
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | | | | | - Adam Freund
- Arda Therapeutics, San Carlos, CA 94070, USA
| | | | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - David Glass
- Regeneron Pharmaceuticals, Inc., Tarrytown, NY 10591, USA
| | | | - Vera Gorbunova
- Departments of Biology and Medicine, University of Rochester, Rochester, NY 14627, USA
| | - Jan Hoejimakers
- Department of Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Riekelt H Houtkooper
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Sibylle Jager
- L'Oréal Research and Innovation, Aulnay-sous-Bois, France
| | | | - Georges Janssens
- Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Matt Kaeberlein
- Departments of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Gerard Karsenty
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Peter de Keizer
- Department of Molecular Cancer Research, Center for Molecular Medicine, Division of Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Brian Kennedy
- Buck Institute for Research on Aging, Novato, CA 94945, USA.,Departments of Biochemistry and Physiology, Yong Loo Lin School of Medicine, National University Singapore, Singapore.,Center for Healthy Longevity, National University Health System, Singapore
| | - James L Kirkland
- Division of General Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Michael Kjaer
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Guido Kroemer
- Centre de Recherche des Cordeliers, Université de Paris, Sorbonne Université, Inserm U1138, Paris, France
| | - Kai-Fu Lee
- Sinovation Ventures and Sinovation AI Institute, Beijing, China
| | - Jean-Marc Lemaitre
- Institute for Regenerative Medicine and Biotherapies, INSERM UMR 1183, Montpellier, France
| | | | - Valter D Longo
- USC Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089, USA
| | - Yu-Xuan Lu
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Michael R MacArthur
- Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Andrea B Maier
- Center for Healthy Longevity, National University Health System, Singapore.,Department of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Medicine, Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | | | - Sarah J Mitchell
- Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Alexey Moskalev
- Institute of Biology of FRC Komi Science Center of Ural Division of RAS, Syktyvkar, Russia.,Russian Clinical and Research Center of Gerontology, Moscow, Russia
| | - Laura Niedernhofer
- Institute on the Biology of Aging and Metabolism, Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Ivan Ozerov
- Insilico Medicine, Hong Kong Science and Technology Park, Hong Kong
| | - Linda Partridge
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | | | - Michael A Petr
- Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark.,Tracked.bio, Copenhagen, Denmark
| | | | - Dina Radenkovic
- Hooke London by Health and Longevity Optimisation, London, UK
| | - Thomas A Rando
- Department of Neurology and Neurological Sciences and Paul F. Glenn Center for Biology of Aging, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Suresh Rattan
- Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
| | - Christian G Riedel
- Department of Biosciences and Nutrition, Karolinska Institute, Stockholm, Sweden
| | | | - Ruixue Ai
- Department of Clinical Molecular Biology
- UiO, University of Oslo and Akershus University Hospital, Norway
| | - Manuel Serrano
- Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology (BIST), Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Björn Schumacher
- CECAD Research Center, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - David A Sinclair
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA 94107, USA
| | | | - Yousin Suh
- Departments of Obstetrics and Gynecology, Genetics and Development, Columbia University, New York, NY 10027, USA
| | - Pam Taub
- Division of Cardiovascular Medicine, University of California, San Diego, CA 92093, USA
| | - Alexandre Trapp
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | | | - Dario Riccardo Valenzano
- Max Planck Institute for Biology of Ageing, Cologne, Germany.,Leibniz Institute on Aging, Jena, Germany
| | | | - Eric Verdin
- Buck Institute for Research on Aging, Novato, CA 94945, USA
| | - Jan Vijg
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | | | | | - Daniela Bakula
- Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Alex Zhavoronkov
- Insilico Medicine, Hong Kong Science and Technology Park, Hong Kong
| | - Morten Scheibye-Knudsen
- Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
5
|
Zhang B, Trapp A, Kerepesi C, Gladyshev VN. Emerging rejuvenation strategies-Reducing the biological age. Aging Cell 2022; 21:e13538. [PMID: 34972247 PMCID: PMC8761015 DOI: 10.1111/acel.13538] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 11/02/2021] [Accepted: 11/29/2021] [Indexed: 12/11/2022] Open
Abstract
Several interventions have recently emerged that were proposed to reverse rather than just attenuate aging, but the criteria for what it takes to achieve rejuvenation remain controversial. Distinguishing potential rejuvenation therapies from other longevity interventions, such as those that slow down aging, is challenging, and these anti-aging strategies are often referred to interchangeably. We suggest that the prerequisite for a rejuvenation intervention is a robust, sustained, and systemic reduction in biological age, which can be assessed by biomarkers of aging, such as epigenetic clocks. We discuss known and putative rejuvenation interventions and comparatively analyze them to explore underlying mechanisms.
Collapse
Affiliation(s)
- Bohan Zhang
- Division of GeneticsDepartment of MedicineHarvard Medical SchoolBrigham and Women’s HospitalBostonMassachusettsUSA
| | - Alexandre Trapp
- Division of GeneticsDepartment of MedicineHarvard Medical SchoolBrigham and Women’s HospitalBostonMassachusettsUSA
| | - Csaba Kerepesi
- Division of GeneticsDepartment of MedicineHarvard Medical SchoolBrigham and Women’s HospitalBostonMassachusettsUSA
| | - Vadim N. Gladyshev
- Division of GeneticsDepartment of MedicineHarvard Medical SchoolBrigham and Women’s HospitalBostonMassachusettsUSA
| |
Collapse
|
6
|
Trapp A, Kerepesi C, Gladyshev V. Profiling Epigenetic Age in Single Cells. Innov Aging 2021. [DOI: 10.1093/geroni/igab046.2537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
DNA methylation of a defined set of CpG dinucleotides emerged as a critical and precise biomarker of the aging process. Multi-variate machine learning models, known as epigenetic clocks, can exploit quantitative changes in the methylome to predict the age of bulk tissue with remarkable accuracy. However, intrinsic sparsity and digitized methylation in individual cells have so far precluded the assessment of aging in single cell data. We developed scAge, a probabilistic approach to determine the epigenetic age of single cells, and validated our results in mice. scAge tissue-specific and multi-cell type single cell clocks correctly recapitulated the chronological age of the original tissue, while uncovering the inherent heterogeneity that exists at the single-cell level. The data suggested that while cells in a tissue age in a coordinated fashion, some cells age more or less rapidly than others. We showed that individual embryonic stem cells exhibit an age close to zero, that certain stem cells in a tissue showed a reduced age compared to their chronological age, and that early embryogenesis is associated with the reduction of epigenetic age in individual cells, the latter supporting a natural rejuvenation event during gastrulation. scAge is both robust against the low coverage that is characteristic of single cell sequencing techniques and is flexible for studying any cell type and mammalian organism of interest. We demonstrate the potential for accurate epigenetic age profiling at single-cell resolution.
Collapse
Affiliation(s)
- Alexandre Trapp
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Csaba Kerepesi
- Brigham and Women's Hospital, Boston, Massachusetts, United States
| | - Vadim Gladyshev
- Brigham and Women's Hospital, Boston, Massachusetts, United States
| |
Collapse
|
7
|
Emmrich S, Tolibzoda Zakusilo F, Trapp A, Zhou X, Zhang Q, Irving EM, Drage MG, Zhang Z, Gladyshev VN, Seluanov A, Gorbunova V. Ectopic cervical thymi and no thymic involution until midlife in naked mole rats. Aging Cell 2021; 20:e13477. [PMID: 34596321 PMCID: PMC8520710 DOI: 10.1111/acel.13477] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 08/10/2021] [Accepted: 08/28/2021] [Indexed: 12/14/2022] Open
Abstract
Immunosenescence is a hallmark of aging and manifests as increased susceptibility to infection, autoimmunity, and cancer in the elderly. One component of immunosenescence is thymic involution, age-associated shrinkage of the thymus, observed in all vertebrates studied to date. The naked mole rat (Heterocephalus glaber) has become an attractive animal model in aging research due to its extreme longevity and resistance to disease. Here, we show that naked mole rats display no thymic involution up to 11 years of age. Furthermore, we found large ectopic cervical thymi in addition to the canonical thoracic thymus, both being identical in their cell composition. The developmental landscape in naked mole rat thymi revealed overt differences from the murine T-cell compartment, most notably a decrease of CD4+ /CD8+ double-positive cells and lower abundance of cytotoxic effector T cells. Our observations suggest that naked mole rats display a delayed immunosenescence. Therapeutic interventions aimed at reversing thymic aging remain limited, underscoring the importance of understanding the cellular and molecular mechanisms behind a sustained immune function in the naked mole rat.
Collapse
Affiliation(s)
| | | | | | - Xuming Zhou
- CAS Key Laboratory of Animal Ecology and Conservation BiologyInstitute of ZoologyChinese Academy of SciencesBeijingChina
| | - Quanwei Zhang
- Department of GeneticsAlbert Einstein College of MedicineNew York CityNYUSA
| | | | - Michael G. Drage
- Pathology and Laboratory MedicineUniversity of Rochester Medical CenterRochesterNYUSA
| | - Zhengdong Zhang
- Department of GeneticsAlbert Einstein College of MedicineNew York CityNYUSA
| | - Vadim N. Gladyshev
- Division of GeneticsDepartment of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA
| | | | - Vera Gorbunova
- Department of BiologyUniversity of RochesterRochesterNYUSA
| |
Collapse
|
8
|
Kerepesi C, Zhang B, Lee SG, Trapp A, Gladyshev VN. Epigenetic clocks reveal a rejuvenation event during embryogenesis followed by aging. Sci Adv 2021; 7:eabg6082. [PMID: 34172448 PMCID: PMC8232908 DOI: 10.1126/sciadv.abg6082] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 05/12/2021] [Indexed: 05/05/2023]
Abstract
The notion that the germ line does not age goes back to the 19th-century ideas of August Weismann. However, being metabolically active, the germ line accumulates damage and other changes over time, i.e., it ages. For new life to begin in the same young state, the germ line must be rejuvenated in the offspring. Here, we developed a multi-tissue epigenetic clock and applied it, together with other aging clocks, to track changes in biological age during mouse and human prenatal development. This analysis revealed a significant decrease in biological age, i.e., rejuvenation, during early stages of embryogenesis, followed by an increase in later stages. We further found that pluripotent stem cells do not age even after extensive passaging and that the examined epigenetic age dynamics is conserved across species. Overall, this study uncovers a natural rejuvenation event during embryogenesis and suggests that the minimal biological age (ground zero) marks the beginning of organismal aging.
Collapse
Affiliation(s)
- Csaba Kerepesi
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Bohan Zhang
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Sang-Goo Lee
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Alexandre Trapp
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
| |
Collapse
|
9
|
Sinn H, Dommach M, Dickert B, Di Felice M, Dong X, Eidam J, Finze D, Freijo-Martin I, Gerasimova N, Kohlstrunk N, La Civita D, Meyn F, Music V, Neumann M, Petrich M, Rio B, Samoylova L, Schmidtchen S, Störmer M, Trapp A, Vannoni M, Villanueva R, Yang F. The SASE1 X-ray beam transport system. J Synchrotron Radiat 2019; 26:692-699. [PMID: 31074432 DOI: 10.1107/s1600577519003461] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 03/11/2019] [Indexed: 05/15/2023]
Abstract
SASE1 is the first beamline of the European XFEL that became operational in 2017. It consists of the SASE1 undulator system, the beam transport system, and the two scientific experiment stations: Single Particles, Clusters, and Biomolecules and Serial Femtosecond Crystallography (SPB/SFX), and Femtosecond X-ray Experiments (FXE). The beam transport system comprises mirrors to offset and guide the beam to the instruments and a set of X-ray optical components to align, manipulate and diagnose the beam. The SASE1 beam transport system is described here in its initial configuration, and results and experiences from the first year of user operation are reported.
Collapse
Affiliation(s)
- H Sinn
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - M Dommach
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - B Dickert
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - M Di Felice
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - X Dong
- Shanghai Institute of Applied Physics, 239 Zhangheng Road, Shanghai 201204, People's Republic of China
| | - J Eidam
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - D Finze
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | | | - N Gerasimova
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - N Kohlstrunk
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - D La Civita
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - F Meyn
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - V Music
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - M Neumann
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - M Petrich
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - B Rio
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - L Samoylova
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - S Schmidtchen
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - M Störmer
- Institute of Materials Research Helmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH, Max-Planck-Straße 1, 21502 Geesthacht, Germany
| | - A Trapp
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - M Vannoni
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - R Villanueva
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| | - F Yang
- European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
| |
Collapse
|
10
|
Gaudin J, Keitel B, Jurgilaitis A, Nüske R, Guérin L, Larsson J, Mann K, Schäfer B, Tiedtke K, Trapp A, Tschentscher T, Yang F, Wulff M, Sinn H, Flöter B. Time-resolved investigation of nanometer scale deformations induced by a high flux x-ray beam. Opt Express 2011; 19:15516-15524. [PMID: 21934914 DOI: 10.1364/oe.19.015516] [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] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
We present results of a time-resolved pump-probe experiment where a Si sample was exposed to an intense 15 keV beam and its surface monitored by measuring the wavefront deformation of a reflected optical laser probe beam. By reconstructing and back propagating the wavefront, the deformed surface can be retrieved for each time step. The dynamics of the heat bump, build-up and relaxation, is followed with a spatial resolution in the nanometer range. The results are interpreted taking into account results of finite element method simulations. Due to its robustness and simplicity this method should find further developments at new x-ray light sources (FEL) or be used to gain understanding on thermo-dynamical behavior of highly excited materials.
Collapse
Affiliation(s)
- J Gaudin
- European XFEL, Albert-Einstein-Ring 19, D-22761 Hamburg, Germany.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
11
|
Temiz NA, Trapp A, Prokopyev OA, Camacho CJ. Optimization of minimum set of protein-DNA interactions: a quasi exact solution with minimum over-fitting. ACTA ACUST UNITED AC 2009; 26:319-25. [PMID: 19965883 PMCID: PMC2815656 DOI: 10.1093/bioinformatics/btp664] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Motivation: A major limitation in modeling protein interactions is the difficulty of assessing the over-fitting of the training set. Recently, an experimentally based approach that integrates crystallographic information of C2H2 zinc finger–DNA complexes with binding data from 11 mutants, 7 from EGR finger I, was used to define an improved interaction code (no optimization). Here, we present a novel mixed integer programming (MIP)-based method that transforms this type of data into an optimized code, demonstrating both the advantages of the mathematical formulation to minimize over- and under-fitting and the robustness of the underlying physical parameters mapped by the code. Results: Based on the structural models of feasible interaction networks for 35 mutants of EGR–DNA complexes, the MIP method minimizes the cumulative binding energy over all complexes for a general set of fundamental protein–DNA interactions. To guard against over-fitting, we use the scalability of the method to probe against the elimination of related interactions. From an initial set of 12 parameters (six hydrogen bonds, five desolvation penalties and a water factor), we proceed to eliminate five of them with only a marginal reduction of the correlation coefficient to 0.9983. Further reduction of parameters negatively impacts the performance of the code (under-fitting). Besides accurately predicting the change in binding affinity of validation sets, the code identifies possible context-dependent effects in the definition of the interaction networks. Yet, the approach of constraining predictions to within a pre-selected set of interactions limits the impact of these potential errors to related low-affinity complexes. Contact:ccamacho@pitt.edu; droleg@pitt.edu Supplementary information:Supplementary data are available at Bioinformatics online.
Collapse
Affiliation(s)
- N A Temiz
- Department of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | | | | | | |
Collapse
|
12
|
Wilbert-Lampen U, Seliger C, Trapp A, Straube F, Plasse A. Female Sex Hormones Decrease Constitutive Endothelin-1 Release via Endothelial Sigma-1/Cocaine Receptors: An Action Independent of the Steroid Hormone Receptors. ACTA ACUST UNITED AC 2009; 12:185-91. [PMID: 16162441 DOI: 10.1080/10623320500227275] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Cardiovascular disease is rare in premenopausal women compared to men. The authors investigate sex hormone-induced endothelin-1 (ET-1) release and the involvement of classic sex hormone receptors as well as the ability of sigma-1/cocaine receptors to respond to sex hormones. ET-1 release was measured in the supernatant of endothelial cells after treatment with beta-estradiol, progesterone, testosterone, or combined with their antagonists, and with the sigma-1 receptor ligand ditolylguanidine (DTG), or haloperidol, a sigma-1 receptor antagonist. Binding assays were performed using 2.5 x 10(-8) M [3H]DTG. Female sex hormones decreased ET-1 release whereas testosterone increased it, sex hormone antagonists only slightly attenuated or had no effect on the respective hormone's effect. DTG totally blocked the female sex hormone-induced inhibition on ET-1 release, whereas testosterone-induced stimulation was not affected. However, haloperidol blocked both. [3H]DTG binding was displaced by beta -estradiol but not by testosterone. DTG-binding sites account for 513 +/- 114 per cell, KD 8.79 nM. These data suggest that besides classic steroid hormone receptors, sigma-1/cocaine receptors mediate the effects of female sex hormones on ET-1 release, an up to now unknown signalling pathway. Results also suggest that female and male sex hormones may bind to different sites on sigma-1 receptors, exerting opposite pharmacological effects.
Collapse
Affiliation(s)
- U Wilbert-Lampen
- Medizinische Klinik und Poliklinik I, Klinikum Grosshadern, Ludwig-Maximilians Universität, München, Germany.
| | | | | | | | | |
Collapse
|
13
|
Wilbert-Lampen U, Trapp A, Barth S, Plasse A, Leistner D. Effects of beta-endorphin on endothelial/monocytic endothelin-1 and nitric oxide release mediated by mu1-opioid receptors: a potential link between stress and endothelial dysfunction? ACTA ACUST UNITED AC 2007; 14:65-71. [PMID: 17497362 DOI: 10.1080/10623320701346585] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Observations have been made linking the presence of psychosocial factors associated with elevated beta-endorphin concentrations with atherosclerosis. In this study, the authors assume an important role of the stress hormone beta-endorphin in several mechanisms that contribute to a dysbalance of human endothelial and monocytic endothelin (ET)-1 and nitric oxide (NO) release, mediated by mu1-opioid receptors. ET-1 and NO release were quantified via enzyme-linked immunosorbent assay (ELISA) or fluorometrically. mu1-Opioid receptors were identified by polymerase chain reaction (PCR) after stimulation with beta-endorphin. beta-Endorphin significantly increased endothelial and monocytic ET-1 release. The effect was mediated by mu1-opioid receptors and abolished by naloxonazine, a selective mu1-opioid receptor antagonist. In contrast, NO release was decreased under the influence of beta-endorphin. mu1-Opioid receptors on human monocytes and endothelial cells mediated a beta-endorphin-induced stimulation of ET-1 release, whereas NO release was decreased. Thus, the authors hypothesize a role of beta-Endorphin in the pathogenesis of stress-induced endothelial dysfunction through peripherally circulating beta-endorphin, which may offset the balance of vasoactive mediators, leading to an unopposed vasoconstriction. The data may also provide a new concept of mu1-opioid receptor antagonists, preventing beta-endorphin-induced disorders of vascular biology.
Collapse
Affiliation(s)
- U Wilbert-Lampen
- Medizinische Klinik und Poliklinik I, Klinikum Grosshadern, Ludwig-Maximilians-Universität, Marchioninistrasse 15, 81377 Munich, Germany.
| | | | | | | | | |
Collapse
|
14
|
Slocombe RF, Derksen FJ, Robinson NE, Trapp A, Gupta A, Newman JP. Interactions of cold stress and Pasteurella haemolytica in the pathogenesis of pneumonic pasteurellosis in calves: method of induction and hematologic and pathologic changes. Am J Vet Res 1984; 45:1757-63. [PMID: 6497133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Six healthy neonatal calves were chilled with cold water and had focal tracheitis induced by spraying 5% acetic acid into the tracheal lumen. Subsequently, 20 ml of sterile saline solution was injected intratracheally. The effects of these interventions on total and differential white cell counts, plasma cortisol, histamine, and bradykinin, hematocrit, total plasma solids, and indices of the erythrocyte size and hemoglobin content were determined over the subsequent 12 hours. Cold stress increased plasma cortisol levels for less than 1 hour, but did not alter any other variable. This group of calves served as a control group for a second series of neonatal calves which were given 2 X 10(9) organisms of Pasteurella haemolytica intratracheally immediately following an identical period of chilling and acetic acid exposure. Calves given P haemolytica became neutropenic. There were increased numbers of circulating band neutrophils by 12 hours after exposure, and serum cortisol values were maintained at the same or greater than cold stress concentrations for all measurement periods subsequent to exposure. Infected calves had acute fibrinous pneumonia from which P haemolytica was isolated. Contrary to previous reports, these data may indicate a role for the neutrophil in the pathogenesis of early lesions of pasteurellosis. Although the association of circulating corticosteroids with stress and subsequent infection is clear, our data provide no evidence to indicate that circulating histamine or bradykinin are involved in the pathogenesis of the acute lesions of Pasteurella pneumonia.
Collapse
|
15
|
Eyster GE, Dalley JB, Chaffee A, Beadle R, Trapp A, Cristopher WJ. Aorticopulmonary septal defect in a dog. J Am Vet Med Assoc 1975; 167:1094-6. [PMID: 1194117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
A 2-year-old Brittany Spaniel ahd clinical signs of pulmonary diseases and pulmonary hypertension, with cardiac murmur and congestive heart failure. Aorticopulmonary septal defect was detected by means of cardiac catheterization. Attempted surgical correciton was unsuccessful.
Collapse
|