Institution
University of Paris
Education•Paris, France•
About: University of Paris is a education organization based out in Paris, France. It is known for research contribution in the topics: Population & Transplantation. The organization has 102426 authors who have published 174180 publications receiving 5041753 citations. The organization is also known as: Sorbonne.
Papers published on a yearly basis
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Pierre-and-Marie-Curie University1, AXA2, University of British Columbia3, VU University Medical Center4, University of Southern California5, University of Toulouse6, ICM Partners7, French Institute of Health and Medical Research8, Imperial College London9, University of Lübeck10, Sahlgrenska University Hospital11, Federal Institute for Drugs and Medical Devices12, UCL Institute of Neurology13, University of Bordeaux14, University of Geneva15, McGill University16, University of Paris17, University of Washington18, Karolinska University Hospital19, University of Eastern Finland20, University of North Texas Health Science Center21, University of California, San Francisco22, University of Melbourne23, Brown University24, Harvard University25, Brigham and Women's Hospital26, Alzheimer's Association27, Lou Ruvo Brain Institute28, Mayo Clinic29
TL;DR: An updated review of the literature and evidence on the definitions and lexicon, the limits, the natural history, the markers of progression, and the ethical consequence of detecting the disease at this asymptomatic stage of Alzheimer's disease are provided.
Abstract: During the past decade, a conceptual shift occurred in the field of Alzheimer's disease (AD) considering the disease as a continuum. Thanks to evolving biomarker research and substantial discoveries, it is now possible to identify the disease even at the preclinical stage before the occurrence of the first clinical symptoms. This preclinical stage of AD has become a major research focus as the field postulates that early intervention may offer the best chance of therapeutic success. To date, very little evidence is established on this "silent" stage of the disease. A clarification is needed about the definitions and lexicon, the limits, the natural history, the markers of progression, and the ethical consequence of detecting the disease at this asymptomatic stage. This article is aimed at addressing all the different issues by providing for each of them an updated review of the literature and evidence, with practical recommendations.
1,235 citations
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TL;DR: Low-grade inflammation induced by the metabolic syndrome, innate immunity and inflammaging are some of the more recent arguments in favor of the inflammatory theory of OA and highlighted in this review.
1,225 citations
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TL;DR: A. muciniphila is associated with a healthier metabolic status and better clinical outcomes after CR in overweight/obese adults, and the interaction between gut microbiota ecology and A. muc iniphila warrants further investigation.
Abstract: OBJECTIVE: Individuals with obesity and type 2 diabetes differ from lean and healthy individuals in their abundance of certain gut microbial species and microbial gene richness Abundance of Akkermansia muciniphila, a mucin-degrading bacterium, has been inversely associated with body fat mass and glucose intolerance in mice, but more evidence is needed in humans The impact of diet and weight loss on this bacterial species is unknown Our objective was to evaluate the association between faecal A muciniphila abundance, faecal microbiome gene richness, diet, host characteristics, and their changes after calorie restriction (CR) DESIGN: The intervention consisted of a 6-week CR period followed by a 6-week weight stabilisation diet in overweight and obese adults (N=49, including 41 women) Faecal A muciniphila abundance, faecal microbial gene richness, diet and bioclinical parameters were measured at baseline and after CR and weight stabilisation RESULTS: At baseline A muciniphila was inversely related to fasting glucose, waist-to-hip ratio and subcutaneous adipocyte diameter Subjects with higher gene richness and A muciniphila abundance exhibited the healthiest metabolic status, particularly in fasting plasma glucose, plasma triglycerides and body fat distribution Individuals with higher baseline A muciniphila displayed greater improvement in insulin sensitivity markers and other clinical parameters after CR These participants also experienced a reduction in A muciniphila abundance, but it remained significantly higher than in individuals with lower baseline abundance A muciniphila was associated with microbial species known to be related to health CONCLUSIONS: A muciniphila is associated with a healthier metabolic status and better clinical outcomes after CR in overweight/obese adults The interaction between gut microbiota ecology and A muciniphila warrants further investigation TRIAL REGISTRATION NUMBER: NCT01314690
1,224 citations
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University of East Anglia1, University of Oslo2, Commonwealth Scientific and Industrial Research Organisation3, University of Exeter4, Oak Ridge National Laboratory5, National Oceanic and Atmospheric Administration6, Woods Hole Research Center7, University of California, San Diego8, Karlsruhe Institute of Technology9, Cooperative Institute for Marine and Atmospheric Studies10, Centre national de la recherche scientifique11, University of Maryland, College Park12, National Institute of Water and Atmospheric Research13, Woods Hole Oceanographic Institution14, Flanders Marine Institute15, Alfred Wegener Institute for Polar and Marine Research16, Netherlands Environmental Assessment Agency17, University of Illinois at Urbana–Champaign18, Leibniz Institute of Marine Sciences19, Max Planck Society20, University of Paris21, Hobart Corporation22, University of Bern23, Oeschger Centre for Climate Change Research24, National Center for Atmospheric Research25, University of Miami26, Council of Scientific and Industrial Research27, University of Colorado Boulder28, National Institute for Environmental Studies29, Joint Institute for the Study of the Atmosphere and Ocean30, Geophysical Institute, University of Bergen31, Montana State University32, Goddard Space Flight Center33, University of New Hampshire34, Bjerknes Centre for Climate Research35, Imperial College London36, Lamont–Doherty Earth Observatory37, Auburn University38, Wageningen University and Research Centre39, VU University Amsterdam40, Met Office41
TL;DR: In this article, the authors quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community.
Abstract: . Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates and consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models. We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2006–2015), EFF was 9.3 ± 0.5 GtC yr−1, ELUC 1.0 ± 0.5 GtC yr−1, GATM 4.5 ± 0.1 GtC yr−1, SOCEAN 2.6 ± 0.5 GtC yr−1, and SLAND 3.1 ± 0.9 GtC yr−1. For year 2015 alone, the growth in EFF was approximately zero and emissions remained at 9.9 ± 0.5 GtC yr−1, showing a slowdown in growth of these emissions compared to the average growth of 1.8 % yr−1 that took place during 2006–2015. Also, for 2015, ELUC was 1.3 ± 0.5 GtC yr−1, GATM was 6.3 ± 0.2 GtC yr−1, SOCEAN was 3.0 ± 0.5 GtC yr−1, and SLAND was 1.9 ± 0.9 GtC yr−1. GATM was higher in 2015 compared to the past decade (2006–2015), reflecting a smaller SLAND for that year. The global atmospheric CO2 concentration reached 399.4 ± 0.1 ppm averaged over 2015. For 2016, preliminary data indicate the continuation of low growth in EFF with +0.2 % (range of −1.0 to +1.8 %) based on national emissions projections for China and USA, and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. In spite of the low growth of EFF in 2016, the growth rate in atmospheric CO2 concentration is expected to be relatively high because of the persistence of the smaller residual terrestrial sink (SLAND) in response to El Nino conditions of 2015–2016. From this projection of EFF and assumed constant ELUC for 2016, cumulative emissions of CO2 will reach 565 ± 55 GtC (2075 ± 205 GtCO2) for 1870–2016, about 75 % from EFF and 25 % from ELUC. This living data update documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this data set (Le Quere et al., 2015b, a, 2014, 2013). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center ( doi:10.3334/CDIAC/GCP_2016 ).
1,224 citations
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TL;DR: How alterations in glutathione status, such as those observed during stress, may participate in signal transduction cascades are discussed and how these alterations are integrated to fine-tune photorespiratory and respiratory metabolism and to modulate phytohormone signalling pathways.
Abstract: Plants cannot survive without glutathione (γ-glutamylcysteinylglycine) or γ-glutamylcysteine-containing homologues. The reasons why this small molecule is indispensable are not fully understood, but it can be inferred that glutathione has functions in plant development that cannot be performed by other thiols or antioxidants. The known functions of glutathione include roles in biosynthetic pathways, detoxification, antioxidant biochemistry and redox homeostasis. Glutathione can interact in multiple ways with proteins through thiol-disulphide exchange and related processes. Its strategic position between oxidants such as reactive oxygen species and cellular reductants makes the glutathione system perfectly configured for signalling functions. Recent years have witnessed considerable progress in understanding glutathione synthesis, degradation and transport, particularly in relation to cellular redox homeostasis and related signalling under optimal and stress conditions. Here we outline the key recent advances and discuss how alterations in glutathione status, such as those observed during stress, may participate in signal transduction cascades. The discussion highlights some of the issues surrounding the regulation of glutathione contents, the control of glutathione redox potential, and how the functions of glutathione and other thiols are integrated to fine-tune photorespiratory and respiratory metabolism and to modulate phytohormone signalling pathways through appropriate modification of sensitive protein cysteine residues.
1,219 citations
Authors
Showing all 102613 results
Name | H-index | Papers | Citations |
---|---|---|---|
Guido Kroemer | 236 | 1404 | 246571 |
David H. Weinberg | 183 | 700 | 171424 |
Paul M. Thompson | 183 | 2271 | 146736 |
Chris Sander | 178 | 713 | 233287 |
Sophie Henrot-Versille | 171 | 957 | 157040 |
Richard H. Friend | 169 | 1182 | 140032 |
George P. Chrousos | 169 | 1612 | 120752 |
Mika Kivimäki | 166 | 1515 | 141468 |
Martin Karplus | 163 | 831 | 138492 |
William J. Sandborn | 162 | 1317 | 108564 |
Darien Wood | 160 | 2174 | 136596 |
Monique M.B. Breteler | 159 | 546 | 93762 |
Paul Emery | 158 | 1314 | 121293 |
Wolfgang Wagner | 156 | 2342 | 123391 |
Joao Seixas | 153 | 1538 | 115070 |