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Institution

Centro Nacional de Investigaciones Cardiovasculares

Facility
About: Centro Nacional de Investigaciones Cardiovasculares is a based out in . It is known for research contribution in the topics: Population & Myocardial infarction. The organization has 1353 authors who have published 2639 publications receiving 120778 citations.


Papers
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Journal ArticleDOI
TL;DR: A comprehensive overview of the current understanding of the physiological roles of EVs is provided, drawing on the unique EV expertise of academia-based scientists, clinicians and industry based in 27 European countries, the United States and Australia.
Abstract: In the past decade, extracellular vesicles (EVs) have been recognized as potent vehicles of intercellular communication, both in prokaryotes and eukaryotes. This is due to their capacity to transfer proteins, lipids and nucleic acids, thereby influencing various physiological and pathological functions of both recipient and parent cells. While intensive investigation has targeted the role of EVs in different pathological processes, for example, in cancer and autoimmune diseases, the EV-mediated maintenance of homeostasis and the regulation of physiological functions have remained less explored. Here, we provide a comprehensive overview of the current understanding of the physiological roles of EVs, which has been written by crowd-sourcing, drawing on the unique EV expertise of academia-based scientists, clinicians and industry based in 27 European countries, the United States and Australia. This review is intended to be of relevance to both researchers already working on EV biology and to newcomers who will encounter this universal cell biological system. Therefore, here we address the molecular contents and functions of EVs in various tissues and body fluids from cell systems to organs. We also review the physiological mechanisms of EVs in bacteria, lower eukaryotes and plants to highlight the functional uniformity of this emerging communication system.

3,690 citations

Journal ArticleDOI
Kerstin Howe, Matthew D. Clark, Carlos Torroja1, Carlos Torroja2  +171 moreInstitutions (11)
25 Apr 2013-Nature
TL;DR: A high-quality sequence assembly of the zebrafish genome is generated, made up of an overlapping set of completely sequenced large-insert clones that were ordered and oriented using a high-resolution high-density meiotic map, providing a clearer understanding of key genomic features such as a unique repeat content, a scarcity of pseudogenes, an enrichment of zebra fish-specific genes on chromosome 4 and chromosomal regions that influence sex determination.
Abstract: Zebrafish have become a popular organism for the study of vertebrate gene function. The virtually transparent embryos of this species, and the ability to accelerate genetic studies by gene knockdown or overexpression, have led to the widespread use of zebrafish in the detailed investigation of vertebrate gene function and increasingly, the study of human genetic disease. However, for effective modelling of human genetic disease it is important to understand the extent to which zebrafish genes and gene structures are related to orthologous human genes. To examine this, we generated a high-quality sequence assembly of the zebrafish genome, made up of an overlapping set of completely sequenced large-insert clones that were ordered and oriented using a high-resolution high-density meiotic map. Detailed automatic and manual annotation provides evidence of more than 26,000 protein-coding genes, the largest gene set of any vertebrate so far sequenced. Comparison to the human reference genome shows that approximately 70% of human genes have at least one obvious zebrafish orthologue. In addition, the high quality of this genome assembly provides a clearer understanding of key genomic features such as a unique repeat content, a scarcity of pseudogenes, an enrichment of zebrafish-specific genes on chromosome 4 and chromosomal regions that influence sex determination.

3,573 citations

Journal ArticleDOI
12 Aug 2010-Nature
TL;DR: It is demonstrated that mesenchymal stem cells (MSCs), identified using nestin expression, constitute an essential HSC niche component and are indicative of a unique niche in the bone marrow made of heterotypic stem-cell pairs.
Abstract: The cellular constituents forming the haematopoietic stem cell (HSC) niche in the bone marrow are unclear, with studies implicating osteoblasts, endothelial and perivascular cells. Here we demonstrate that mesenchymal stem cells (MSCs), identified using nestin expression, constitute an essential HSC niche component. Nestin(+) MSCs contain all the bone-marrow colony-forming-unit fibroblastic activity and can be propagated as non-adherent 'mesenspheres' that can self-renew and expand in serial transplantations. Nestin(+) MSCs are spatially associated with HSCs and adrenergic nerve fibres, and highly express HSC maintenance genes. These genes, and others triggering osteoblastic differentiation, are selectively downregulated during enforced HSC mobilization or beta3 adrenoreceptor activation. Whereas parathormone administration doubles the number of bone marrow nestin(+) cells and favours their osteoblastic differentiation, in vivo nestin(+) cell depletion rapidly reduces HSC content in the bone marrow. Purified HSCs home near nestin(+) MSCs in the bone marrow of lethally irradiated mice, whereas in vivo nestin(+) cell depletion significantly reduces bone marrow homing of haematopoietic progenitors. These results uncover an unprecedented partnership between two distinct somatic stem-cell types and are indicative of a unique niche in the bone marrow made of heterotypic stem-cell pairs.

3,012 citations

Journal ArticleDOI
TL;DR: This book is dedicated to the memory of those who have served in the armed forces and their families during the conflicts of the twentieth century.

2,628 citations

Journal ArticleDOI
Benjamin F. Voight1, Benjamin F. Voight2, Benjamin F. Voight3, Gina M. Peloso4, Gina M. Peloso5, Marju Orho-Melander6, Ruth Frikke-Schmidt7, Maja Barbalić8, Majken K. Jensen3, George Hindy6, Hilma Holm9, Eric L. Ding3, Toby Johnson10, Heribert Schunkert11, Nilesh J. Samani12, Nilesh J. Samani13, Robert Clarke14, Jemma C. Hopewell14, John F. Thompson13, Mingyao Li2, Gudmar Thorleifsson9, Christopher Newton-Cheh, Kiran Musunuru1, Kiran Musunuru3, James P. Pirruccello1, James P. Pirruccello3, Danish Saleheen15, Li Chen16, Alexandre F.R. Stewart16, Arne Schillert11, Unnur Thorsteinsdottir9, Unnur Thorsteinsdottir17, Gudmundur Thorgeirsson17, Sonia S. Anand18, James C. Engert19, Thomas M. Morgan20, John A. Spertus21, Monika Stoll22, Klaus Berger22, Nicola Martinelli23, Domenico Girelli23, Pascal P. McKeown24, Christopher Patterson24, Stephen E. Epstein25, Joseph M. Devaney25, Mary Susan Burnett25, Vincent Mooser26, Samuli Ripatti27, Ida Surakka27, Markku S. Nieminen27, Juha Sinisalo27, Marja-Liisa Lokki27, Markus Perola4, Aki S. Havulinna4, Ulf de Faire28, Bruna Gigante28, Erik Ingelsson28, Tanja Zeller29, Philipp S. Wild29, Paul I.W. de Bakker, Olaf H. Klungel30, Anke-Hilse Maitland-van der Zee30, Bas J M Peters30, Anthonius de Boer30, Diederick E. Grobbee30, Pieter Willem Kamphuisen31, Vera H.M. Deneer, Clara C. Elbers30, N. Charlotte Onland-Moret30, Marten H. Hofker31, Cisca Wijmenga31, W. M. Monique Verschuren, Jolanda M. A. Boer, Yvonne T. van der Schouw30, Asif Rasheed, Philippe M. Frossard, Serkalem Demissie4, Serkalem Demissie5, Cristen J. Willer32, Ron Do3, Jose M. Ordovas33, Jose M. Ordovas34, Gonçalo R. Abecasis32, Michael Boehnke32, Karen L. Mohlke35, Mark J. Daly1, Mark J. Daly3, Candace Guiducci1, Noël P. Burtt1, Aarti Surti1, Elena Gonzalez1, Shaun Purcell3, Shaun Purcell1, Stacey Gabriel1, Jaume Marrugat, John F. Peden14, Jeanette Erdmann11, Patrick Diemert11, Christina Willenborg11, Inke R. König11, Marcus Fischer36, Christian Hengstenberg36, Andreas Ziegler11, Ian Buysschaert37, Diether Lambrechts37, Frans Van de Werf37, Keith A.A. Fox38, Nour Eddine El Mokhtari39, Diana Rubin, Jürgen Schrezenmeir, Stefan Schreiber39, Arne Schäfer39, John Danesh15, Stefan Blankenberg29, Robert Roberts16, Ruth McPherson16, Hugh Watkins14, Alistair S. Hall40, Kim Overvad41, Eric B. Rimm3, Eric Boerwinkle8, Anne Tybjærg-Hansen7, L. Adrienne Cupples4, L. Adrienne Cupples5, Muredach P. Reilly2, Olle Melander6, Pier Mannuccio Mannucci42, Diego Ardissino, David S. Siscovick43, Roberto Elosua, Kari Stefansson9, Kari Stefansson17, Christopher J. O'Donnell4, Christopher J. O'Donnell3, Veikko Salomaa4, Daniel J. Rader2, Leena Peltonen44, Leena Peltonen27, Stephen M. Schwartz43, David Altshuler, Sekar Kathiresan 
11 Aug 2012
TL;DR: In this paper, a Mendelian randomisation analysis was performed to compare the effect of HDL cholesterol, LDL cholesterol, and genetic score on risk of myocardial infarction.
Abstract: Methods We performed two mendelian randomisation analyses. First, we used as an instrument a single nucleotide polymorphism (SNP) in the endothelial lipase gene (LIPG Asn396Ser) and tested this SNP in 20 studies (20 913 myocardial infarction cases, 95 407 controls). Second, we used as an instrument a genetic score consisting of 14 common SNPs that exclusively associate with HDL cholesterol and tested this score in up to 12 482 cases of myocardial infarction and 41 331 controls. As a positive control, we also tested a genetic score of 13 common SNPs exclusively associated with LDL cholesterol. – ¹³) but similar levels of other lipid and non-lipid risk factors for myocardial infarction compared with noncarriers. This diff erence in HDL cholesterol is expected to decrease risk of myocardial infarction by 13% (odds ratio [OR] 0·87, 95% CI 0·84–0·91). However, we noted that the 396Ser allele was not associated with risk of myocardial infarction (OR 0·99, 95% CI 0·88–1·11, p=0·85). From observational epidemiology, an increase of 1 SD in HDL cholesterol was associated with reduced risk of myocardial infarction (OR 0·62, 95% CI 0·58–0·66). However, a 1 SD increase in HDL cholesterol due to genetic score was not associated with risk of myocardial infarction (OR 0·93, 95% CI 0·68–1·26, p=0·63). For LDL cholesterol, the estimate from observational epidemiology (a 1 SD increase in LDL cholesterol associated with OR 1·54, 95% CI 1·45–1·63) was concordant with that from genetic score (OR 2·13, 95% CI 1·69–2·69, p=2×10

1,878 citations


Authors

Showing all 1363 results

NameH-indexPapersCitations
Valentin Fuster1791462185164
Stuart J. Pocock145684143547
Silvia G. Priori140515120642
Jose M. Ordovas123102470978
Alfonso Valencia10654255192
Francisco Sánchez-Madrid10252743418
José Jalife9443237933
Eliseo Guallar8745727565
Stefan James8654655793
José Manuel Fernández-Real8248825079
Manuel Gómez7443223731
Javier Escaned7050020061
Héctor Bueno6845175980
Stuart A. Cook6530016163
Wifredo Ricart6428715888
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202217
2021336
2020305
2019244
2018219