Institution
French Institute of Health and Medical Research
Government•Paris, France•
About: French Institute of Health and Medical Research is a government organization based out in Paris, France. It is known for research contribution in the topics: Population & Receptor. The organization has 109367 authors who have published 174236 publications receiving 8365503 citations.
Topics: Population, Receptor, Gene, Immune system, Antigen
Papers published on a yearly basis
Papers
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TL;DR: The suggestion is that stromelysin-3 is one of the stroma-derived factors that have long been postulated to play an important part in progression of epithelial malignancies.
Abstract: A gene has been identified that is expressed specifically in stromal cells surrounding invasive breast carcinomas. On the basis of its sequence, the product of this gene, named stromelysin-3, is a new member of the family of metalloproteinase enzymes which degrade the extracellular matrix. The suggestion is that stromelysin-3 is one of the stroma-derived factors that have long been postulated to play an important part in progression of epithelial malignancies.
1,159 citations
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TL;DR: It is concluded that previous history of fracture confers an increased risk of fracture of substantial importance beyond that explained by measurement of BMD.
1,159 citations
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TL;DR: It is shown that in human atherosclerotic lesions, the expression of M2 markers and PPARgamma, a nuclear receptor controlling macrophage inflammation, correlate positively, and that only native monocytes can be primed by PPARGamma activation to an enhanced M2 phenotype.
1,154 citations
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TL;DR: These preliminary data suggest the feasibility and safety of autologous skeletal myoblast transplantation in severe ischemic cardiomyopathy, with the caveat of an arrhythmogenic potential, and new-onset contraction of akinetic and nonviable segments suggests a functional efficacy that requires confirmation by randomized studies.
1,153 citations
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Mike A. Nalls1, Cornelis Blauwendraat1, Costanza L. Vallerga2, Karl Heilbron +245 more•Institutions (23)
TL;DR: These data provide the most comprehensive survey of genetic risk within Parkinson's disease to date, providing a biological context for these risk factors, and showing that a considerable genetic component of this disease remains unidentified.
Abstract: Summary Background Genome-wide association studies (GWAS) in Parkinson's disease have increased the scope of biological knowledge about the disease over the past decade. We aimed to use the largest aggregate of GWAS data to identify novel risk loci and gain further insight into the causes of Parkinson's disease. Methods We did a meta-analysis of 17 datasets from Parkinson's disease GWAS available from European ancestry samples to nominate novel loci for disease risk. These datasets incorporated all available data. We then used these data to estimate heritable risk and develop predictive models of this heritability. We also used large gene expression and methylation resources to examine possible functional consequences as well as tissue, cell type, and biological pathway enrichments for the identified risk factors. Additionally, we examined shared genetic risk between Parkinson's disease and other phenotypes of interest via genetic correlations followed by Mendelian randomisation. Findings Between Oct 1, 2017, and Aug 9, 2018, we analysed 7·8 million single nucleotide polymorphisms in 37 688 cases, 18 618 UK Biobank proxy-cases (ie, individuals who do not have Parkinson's disease but have a first degree relative that does), and 1·4 million controls. We identified 90 independent genome-wide significant risk signals across 78 genomic regions, including 38 novel independent risk signals in 37 loci. These 90 variants explained 16–36% of the heritable risk of Parkinson's disease depending on prevalence. Integrating methylation and expression data within a Mendelian randomisation framework identified putatively associated genes at 70 risk signals underlying GWAS loci for follow-up functional studies. Tissue-specific expression enrichment analyses suggested Parkinson's disease loci were heavily brain-enriched, with specific neuronal cell types being implicated from single cell data. We found significant genetic correlations with brain volumes (false discovery rate-adjusted p=0·0035 for intracranial volume, p=0·024 for putamen volume), smoking status (p=0·024), and educational attainment (p=0·038). Mendelian randomisation between cognitive performance and Parkinson's disease risk showed a robust association (p=8·00 × 10−7). Interpretation These data provide the most comprehensive survey of genetic risk within Parkinson's disease to date, to the best of our knowledge, by revealing many additional Parkinson's disease risk loci, providing a biological context for these risk factors, and showing that a considerable genetic component of this disease remains unidentified. These associations derived from European ancestry datasets will need to be followed-up with more diverse data. Funding The National Institute on Aging at the National Institutes of Health (USA), The Michael J Fox Foundation, and The Parkinson's Foundation (see appendix for full list of funding sources).
1,152 citations
Authors
Showing all 109539 results
Name | H-index | Papers | Citations |
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Guido Kroemer | 236 | 1404 | 246571 |
Pierre Chambon | 211 | 884 | 161565 |
Peer Bork | 206 | 697 | 245427 |
Ronald M. Evans | 199 | 708 | 166722 |
Raymond J. Dolan | 196 | 919 | 138540 |
Matthew Meyerson | 194 | 553 | 243726 |
Charles A. Dinarello | 190 | 1058 | 139668 |
Julie E. Buring | 186 | 950 | 132967 |
Tadamitsu Kishimoto | 181 | 1067 | 130860 |
Didier Raoult | 173 | 3267 | 153016 |
Giuseppe Remuzzi | 172 | 1226 | 160440 |
Zena Werb | 168 | 473 | 122629 |
Nahum Sonenberg | 167 | 647 | 104053 |
Philippe Froguel | 166 | 820 | 118816 |
Gordon J. Freeman | 164 | 579 | 105193 |