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Research data keyboard_double_arrow_right Collection 2021Publisher:figshare Funded by:SNSF | COVID-evidence: a living ..., CIHR, EC | SUPPORT-ESNSF| COVID-evidence: a living database of trials on interventions for COVID-19 ,CIHR ,EC| SUPPORT-EAuthors: Axfors, Cathrine; Janiaud, Perrine; Schmitt, Andreas M.; van���t Hooft, Janneke; +196 AuthorsAxfors, Cathrine; Janiaud, Perrine; Schmitt, Andreas M.; van���t Hooft, Janneke; Smith, Emily R.; Haber, Noah A.; Abayomi, Akin; Abduljalil, Manal; Abdulrahman, Abdulkarim; Acosta-Ampudia, Yeny; Aguilar-Guisado, Manuela; Al-Beidh, Farah; Alejandria, Marissa M.; Alfonso, Rachelle N.; Ali, Mohammad; AlQahtani, Manaf; AlZamrooni, Alaa; Anaya, Juan-Manuel; Ang, Mark Angelo C.; Aomar, Ismael F.; Argumanis, Luis E.; Averyanov, Alexander; Baklaushev, Vladimir P.; Balionis, Olga; Benfield, Thomas; Berry, Scott; Birocco, Nadia; Bonifacio, Lynn B.; Bowen, Asha C.; Bown, Abbie; Cabello-Gutierrez, Carlos; Camacho, Bernardo; Camacho-Ortiz, Adrian; Campbell-Lee, Sally; Cao, Damon H.; Cardesa, Ana; Carnate, Jose M.; Castillo, German Jr. J.; Cavallo, Rossana; Chowdhury, Fazle R.; Chowdhury, Forhad U. H.; Ciccone, Giovannino; Cingolani, Antonella; Climacosa, Fresthel Monica M.; Compernolle, Veerle; Cortez, Carlo Francisco N.; Costa Neto, Abel; D���Antico, Sergio; Daly, James; Danielle, Franca; Davis, Joshua S.; De Rosa, Francesco Giuseppe; Denholm, Justin T.; Denkinger, Claudia M.; Desmecht, Daniel; D��az-Coronado, Juan C.; D��az Ponce-Medrano, Juan A.; Donneau, Anne-Fran��oise; Dumagay, Teresita E.; Dunachie, Susanna; Dungog, Cecile C.; Erinoso, Olufemi; Escasa, Ivy Mae S.; Estcourt, Lise J.; Evans, Amy; Evasan, Agnes L. M.; Fareli, Christian J.; Fernandez-Sanchez, Veronica; Galassi, Claudia; Gallo, Juan E.; Garcia, Patricia J.; Garcia, Patricia L.; Garcia, Jesus A.; Garigliany, Mutien; Garza-Gonzalez, Elvira; Gauiran, Deonne Thaddeus V.; Gaviria Garc��a, Paula A.; Giron-Gonzalez, Jose-Antonio; G��mez-Almaguer, David; Gordon, Anthony C.; Gothot, Andr��; Grass Guaqueta, Jeser Santiago; Green, Cameron; Grimaldi, David; Hammond, Naomi E.; Harvala, Heli; Heralde, Francisco M.; Herrick, Jesica; Higgins, Alisa M.; Hills, Thomas E.; Hines, Jennifer; Holm, Karin; Hoque, Ashraful; Hoste, Eric; Ignacio, Jose M.; Ivanov, Alexander V.; Janssen, Maike; Jennings, Jeffrey H.; Jha, Vivekanand; King, Ruby Anne N.; Kjeldsen-Kragh, Jens; Klenerman, Paul; Kotecha, Aditya; Krapp, Fiorella; Labanca, Luciana; Laing, Emma; Landin-Olsson, Mona; Laterre, Pierre-Fran��ois; Lim, Lyn-Li; Lim, Jodor; Ljungquist, Oskar; Llaca-D��az, Jorge M.; L��pez-Robles, Concepci��n; L��pez-C��rdenas, Salvador; Lopez-Plaza, Ileana; Lucero, Josephine Anne C.; Lundgren, Maria; Mac��as, Juan; Maganito, Sandy C.; Malundo, Anna Flor G.; Manrique, Rub��n D.; Manzini, Paola M.; Marcos, Miguel; Marquez, Ignacio; Mart��nez-Marcos, Francisco Javier; Mata, Ana M.; McArthur, Colin J.; McQuilten, Zoe K.; McVerry, Bryan J.; Menon, David K.; Meyfroidt, Geert; Mirasol, Ma. Angelina L.; Misset, Beno��t; Molton, James S.; Mondragon, Alric V.; Monsalve, Diana M.; Moradi Choghakabodi, Parastoo; Morpeth, Susan C.; Mouncey, Paul R.; Moutschen, Michel; M��ller-Tidow, Carsten; Murphy, Erin; Najdovski, Tome; Nichol, Alistair D.; Nielsen, Henrik; Novak, Richard M.; O���Sullivan, Matthew V. N.; Olalla, Julian; Osibogun, Akin; Osikomaiya, Bodunrin; Oyonarte, Salvador; Pardo-Oviedo, Juan M.; Patel, Mahesh C.; Paterson, David L.; Pe��a-Perez, Carlos A.; Perez-Calatayud, Angel A.; P��rez-Alba, Eduardo; Perkina, Anastasia; Perry, Naomi; Pouladzadeh, Mandana; Poyato, Inmaculada; Price, David J.; Quero, Anne Kristine H.; Rahman, Md. M.; Rahman, Md. S.; Ramesh, Mayur; Ram��rez-Santana, Carolina; Rasmussen, Magnus; Rees, Megan A.; Rego, Eduardo; Roberts, Jason A.; Roberts, David J.; Rodr��guez, Yhojan; Rodr��guez-Ba��o, Jes��s; Rogers, Benjamin A.; Rojas, Manuel; Romero, Alberto; Rowan, Kathryn M.; Saccona, Fabio; Safdarian, Mehdi; Santos, Maria Clariza M.; Sasadeusz, Joe; Scozzari, Gitana; Shankar-Hari, Manu; Sharma, Gorav; Snelling, Thomas; Soto, Alonso; Tagayuna, Pedrito Y.; Tang, Amy; Tatem, Geneva; Teofili, Luciana; Tong, Steven Y. C.; Turgeon, Alexis F.; Veloso, Januario D.; Venkatesh, Balasubramanian; Ventura-Enriquez, Yanet; Webb, Steve A.; Wiese, Lothar; Wik��n, Christian; Wood, Erica M.;Abstract Background Convalescent plasma has been widely used to treat COVID-19 and is under investigation in numerous randomized clinical trials, but results are publicly available only for a small number of trials. The objective of this study was to assess the benefits of convalescent plasma treatment compared to placebo or no treatment and all-cause mortality in patients with COVID-19, using data from all available randomized clinical trials, including unpublished and ongoing trials (Open Science Framework, https://doi.org/10.17605/OSF.IO/GEHFX ). Methods In this collaborative systematic review and meta-analysis, clinical trial registries (ClinicalTrials.gov, WHO International Clinical Trials Registry Platform), the Cochrane COVID-19 register, the LOVE database, and PubMed were searched until April 8, 2021. Investigators of trials registered by March 1, 2021, without published results were contacted via email. Eligible were ongoing, discontinued and completed randomized clinical trials that compared convalescent plasma with placebo or no treatment in COVID-19 patients, regardless of setting or treatment schedule. Aggregated mortality data were extracted from publications or provided by investigators of unpublished trials and combined using the Hartung���Knapp���Sidik���Jonkman random effects model. We investigated the contribution of unpublished trials to the overall evidence. Results A total of 16,477 patients were included in 33 trials (20 unpublished with 3190 patients, 13 published with 13,287 patients). 32 trials enrolled only hospitalized patients (including 3 with only intensive care unit patients). Risk of bias was low for 29/33 trials. Of 8495 patients who received convalescent plasma, 1997 died (23%), and of 7982 control patients, 1952 died (24%). The combined risk ratio for all-cause mortality was 0.97 (95% confidence interval: 0.92; 1.02) with between-study heterogeneity not beyond chance (I2 = 0%). The RECOVERY trial had 69.8% and the unpublished evidence 25.3% of the weight in the meta-analysis. Conclusions Convalescent plasma treatment of patients with COVID-19 did not reduce all-cause mortality. These results provide strong evidence that convalescent plasma treatment for patients with COVID-19 should not be used outside of randomized trials. Evidence synthesis from collaborations among trial investigators can inform both evidence generation and evidence application in patient care.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2021Publisher:figshare Funded by:EC | EpiPose, SNSF | Zika virus: causality, op...EC| EpiPose ,SNSF| Zika virus: causality, open science and risks of emerging infectious diseasesAuthors: Ipekci, Aziz Mert; Buitrago-Garcia, Diana; Meili, Kaspar Walter; Krauer, Fabienne; +13 AuthorsIpekci, Aziz Mert; Buitrago-Garcia, Diana; Meili, Kaspar Walter; Krauer, Fabienne; Prajapati, Nirmala; Shabnam Thapa; Wildisen, Lea; Araujo-Chaveron, Lucia; Baumann, Lukas; Shah, Sanam; Whiteley, Tessa; Solís-García, Gonzalo; Tsotra, Foteini; Zhelyazkov, Ivan; Imeri, Hira; Low, Nicola; Counotte, Michel Jacques;Abstract Background Outbreaks of infectious diseases generate outbreaks of scientific evidence. In 2016 epidemics of Zika virus emerged, and in 2020, a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a pandemic of coronavirus disease 2019 (COVID-19). We compared patterns of scientific publications for the two infections to analyse the evolution of the evidence. Methods We annotated publications on Zika virus and SARS-CoV-2 that we collected using living evidence databases according to study design. We used descriptive statistics to categorise and compare study designs over time. Results We found 2286 publications about Zika virus in 2016 and 21,990 about SARS-CoV-2 up to 24 May 2020, of which we analysed a random sample of 5294 (24%). For both infections, there were more epidemiological than laboratory science studies. Amongst epidemiological studies for both infections, case reports, case series and cross-sectional studies emerged first, cohort and case-control studies were published later. Trials were the last to emerge. The number of preprints was much higher for SARS-CoV-2 than for Zika virus. Conclusions Similarities in the overall pattern of publications might be generalizable, whereas differences are compatible with differences in the characteristics of a disease. Understanding how evidence accumulates during disease outbreaks helps us understand which types of public health questions we can answer and when.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2021Publisher:figshare Funded by:EC | METRO, WT, WT | The Economic Gaze : The W... +1 projectsEC| METRO ,WT ,WT| The Economic Gaze : The World Bank s Influence on Global Public Health. ,SNSF| The Impact of Financialisation on Global Health: A Series of Pharmaceutical Case StudiesTichenor, Marlee; Winters, Janelle; Storeng, Katerini T.; Bump, Jesse; Gaudillière, Jean-Paul; Gorsky, Martin; Hellowell, Mark; Kadama, Patrick; Kenny, Katherine; Shawar, Yusra Ribhi; Songane, Francisco; Walker, Alexis; Whitacre, Ryan; Asthana, Sumegha; Fernandes, Genevie; Stein, Felix; Sridhar, Devi;Abstract Background In the nearly half century since it began lending for population projects, the World Bank has become one of the largest financiers of global health projects and programs, a powerful voice in shaping health agendas in global governance spaces, and a mass producer of evidentiary knowledge for its preferred global health interventions. How can social scientists interrogate the role of the World Bank in shaping ‘global health’ in the current era? Main body As a group of historians, social scientists, and public health officials with experience studying the effects of the institution’s investment in health, we identify three challenges to this research. First, a future research agenda requires recognizing that the Bank is not a monolith, but rather has distinct inter-organizational groups that have shaped investment and discourse in complicated, and sometimes contradictory, ways. Second, we must consider how its influence on health policy and investment has changed significantly over time. Third, we must analyze its modes of engagement with other institutions within the global health landscape, and with the private sector. The unique relationships between Bank entities and countries that shape health policy, and the Bank’s position as a center of research, permit it to have a formative influence on health economics as applied to international development. Addressing these challenges, we propose a future research agenda for the Bank’s influence on global health through three overlapping objects of and domains for study: knowledge-based (shaping health policy knowledge), governance-based (shaping health governance), and finance-based (shaping health financing). We provide a review of case studies in each of these categories to inform this research agenda. Conclusions As the COVID-19 pandemic continues to rage, and as state and non-state actors work to build more inclusive and robust health systems around the world, it is more important than ever to consider how to best document and analyze the impacts of Bank’s financial and technical investments in the Global South.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPublisher:Eawag: Swiss Federal Institute of Aquatic Science and Technology Funded by:SNSF | COWWID-19 | Surveillance ..., EC | EuroTechPostdocSNSF| COWWID-19 | Surveillance of SARS-CoV-2 in Wastewater - an Early Warning System to Track the Spatio-temporal Development of COVID-19 ,EC| EuroTechPostdocJulian, Tim; Kull, Anina; Stachler, Elyse; Fernandez, Xavier; Beerenwinkel, Niko; Kohn, Tamar; Ort, Christoph; Caduff, Lea; Dreifuss, David; Schindler, Tobias; Devaux, Alexander Jefferson; Ganesanandamoorthy, Pravin;doi: 10.25678/0005et
Wastewater samples from ARA Werdh��lzli were analyzed for the presence of SARS-CoV-2 RNA from December 2020 through March 2021 using digital PCR. The digital PCR assay was a drop-off assay using primers and probes covering the spike deletion 69-70 and the ORF1a deletion 3675-5677. The drop-off assay allows quantitative estimates of the proportion of the total SARS-CoV-2 RNA in the wastewater that contains the target deletion regions. The data was collected, analyzed, and reported within the following manuscript:Caduff L, Dreifuss D, Schindler T, Devaux AJ, Ganesanandamoorthy P, Kull A, Stachler E, Fernandez-Cassi X, Beerenwinkel N, Kohn T, Ort C, Julian TR. Inferring transmission fitness advantage of SARS-CoV-2 variants of concern in wastewater using digital PCR. In Preparation.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2020Publisher:figshare Funded by:ARC | Discovery Projects - Gran..., SNSF | Statistical Inference on ..., EC | PERISCOPE +1 projectsARC| Discovery Projects - Grant ID: DP200102101 ,SNSF| Statistical Inference on Large-Scale Mechanistic Network Models ,EC| PERISCOPE ,ARC| ARC Centres of Excellence - Grant ID: CE140100049Warne, David J.; Ebert, Anthony; Drovandi, Christopher; Wenbiao Hu; Mira, Antonietta; Mengersen, Kerrie;Abstract Background The global impact of COVID-19 and the country-specific responses to the pandemic provide an unparalleled opportunity to learn about different patterns of the outbreak and interventions. We model the global pattern of reported COVID-19 cases during the primary response period, with the aim of learning from the past to prepare for the future. Methods Using Bayesian methods, we analyse the response to the COVID-19 outbreak for 158 countries for the period 22 January to 9 June 2020. This encompasses the period in which many countries imposed a variety of response measures and initial relaxation strategies. Instead of modelling specific intervention types and timings for each country explicitly, we adopt a stochastic epidemiological model including a feedback mechanism on virus transmission to capture complex nonlinear dynamics arising from continuous changes in community behaviour in response to rising case numbers. We analyse the overall effect of interventions and community responses across diverse regions. This approach mitigates explicit consideration of issues such as period of infectivity and public adherence to government restrictions. Results Countries with the largest cumulative case tallies are characterised by a delayed response, whereas countries that avoid substantial community transmission during the period of study responded quickly. Countries that recovered rapidly also have a higher case identification rate and small numbers of undocumented community transmission at the early stages of the outbreak. We also demonstrate that uncertainty in numbers of undocumented infections dramatically impacts the risk of multiple waves. Our approach is also effective at pre-empting potential flare-ups. Conclusions We demonstrate the utility of modelling to interpret community behaviour in the early epidemic stages. Two lessons learnt that are important for the future are: i) countries that imposed strict containment measures early in the epidemic fared better with respect to numbers of reported cases; and ii) broader testing is required early in the epidemic to understand the magnitude of undocumented infections and recover rapidly. We conclude that clear patterns of containment are essential prior to relaxation of restrictions and show that modelling can provide insights to this end.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2019Publisher:figshare Funded by:AKA | Viral Inception of Asthma..., SNSF | T cell interaction with t..., AKA | Viral Inception of Asthma +1 projectsAKA| Viral Inception of Asthma: Prospective study from infancy to school-age. VINKU2-study ,SNSF| T cell interaction with tissue cells in allergic inflammation ,AKA| Viral Inception of Asthma ,EC| PREDICTAMikola, Emilia; Palomares, Oscar; Turunen, Riitta; Waris, Matti; Ivaska, Lotta; Silvoniemi, Antti; Puhakka, Tuomo; Rückert, Beate; Vuorinen, Tytti; Mübeccel Akdis; Akdis, Cezmi; Jartti, Tuomas;Abstract Background Rhinovirus A and C infections are important contributors to asthma induction and exacerbations. No data exist on the interaction of local immune responses in rhinovirus infection. Therefore, we aimed to determine the tonsillar immune responses according to rhinovirus A, B and C infections. Methods We collected tonsillar samples, nasopharyngeal aspirates and peripheral blood from 42 rhinovirus positive tonsillectomy patients. Fifteen respiratory viruses or their types were investigated from nasopharynx and tonsil tissue, and rhinovirus species were typed. The expression of 10 cytokines and 4 transcription factors (IFN-α, IFN-β, IFN-γ, IL-10, IL-13, IL-17, IL-28, IL-29, IL-37, TGF-β, FOXP3, GATA3, RORC2 and Tbet) were studied from tonsil tissue by quantitative PCR. A standard questionnaire of respiratory symptoms and health was filled by the patient or his/her guardian. The patients were divided into three groups by the determination of rhinovirus species. Results Overall, 16 patients had rhinovirus A, 12 rhinovirus B and 14 rhinovirus C infection. In rhinovirus B positive group there were significantly less men (P = 0.0072), less operated in spring (P = 0.0096) and more operated in fall (P = 0.030) than in rhinovirus A or C groups. Rhinovirus A positive patients had more respiratory symptoms (P = 0.0074) and particularly rhinitis (P = 0.036) on the operation day. There were no significant differences between the groups in virus codetection. In adjusted analysis, rhinovirus C infections were associated with increased IFN-α (P = 0.045) and decreased RORC2 expression (P = 0.025). Conclusions Rhinovirus species associated differently with clinical characteristics and tonsillar cytokine responses.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Publisher:Taylor & Francis Funded by:SNSF | ER-phagy mechanisms to ma..., EC | PRONKJEWAILSNSF| ER-phagy mechanisms to maintain and restore endoplasmic reticulum homeostasis ,EC| PRONKJEWAILMauthe, Mario; Idil Orhon; Rocchi, Cecilia; Xingdong Zhou; Luhr, Morten; Kerst-Jan Hijlkema; Coppes, Robert P.; Engedal, Nikolai; Mari, Muriel; Reggiori, Fulvio;Macroautophagy/autophagy is a conserved transport pathway where targeted structures are sequestered by phagophores, which mature into autophagosomes, and then delivered into lysosomes for degradation. Autophagy is involved in the pathophysiology of numerous diseases and its modulation is beneficial for the outcome of numerous specific diseases. Several lysosomal inhibitors such as bafilomycin A1 (BafA1), protease inhibitors and chloroquine (CQ), have been used interchangeably to block autophagy in in vitro experiments assuming that they all primarily block lysosomal degradation. Among them, only CQ and its derivate hydroxychloroquine (HCQ) are FDA-approved drugs and are thus currently the principal compounds used in clinical trials aimed to treat tumors through autophagy inhibition. However, the precise mechanism of how CQ blocks autophagy remains to be firmly demonstrated. In this study, we focus on how CQ inhibits autophagy and directly compare its effects to those of BafA1. We show that CQ mainly inhibits autophagy by impairing autophagosome fusion with lysosomes rather than by affecting the acidity and/or degradative activity of this organelle. Furthermore, CQ induces an autophagy-independent severe disorganization of the Golgi and endo-lysosomal systems, which might contribute to the fusion impairment. Strikingly, HCQ-treated mice also show a Golgi disorganization in kidney and intestinal tissues. Altogether, our data reveal that CQ and HCQ are not bona fide surrogates for other types of late stage lysosomal inhibitors for in vivo experiments. Moreover, the multiple cellular alterations caused by CQ and HCQ call for caution when interpreting results obtained by blocking autophagy with this drug.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2017 Netherlands English Funded by:NWO | A three-dimensional look ..., EC | PRONKJEWAIL, SNSF | ER-phagy mechanisms to ma...NWO| A three-dimensional look into autophagy ,EC| PRONKJEWAIL ,SNSF| ER-phagy mechanisms to maintain and restore endoplasmic reticulum homeostasisAuthors: Cong, Yingying; Verlhac, Pauline; Reggiori, Fulvio;Cong, Yingying; Verlhac, Pauline; Reggiori, Fulvio;Autophagy is a conserved intracellular catabolic pathway that allows cells to maintain homeostasis through the degradation of deleterious components via specialized double-membrane vesicles called autophagosomes. During the past decades, it has been revealed that numerous pathogens, including viruses, usurp autophagy in order to promote their propagation. Nidovirales are an order of enveloped viruses with large single-stranded positive RNA genomes. Four virus families (Arterividae, Coronaviridae, Mesoniviridae, and Roniviridae) are part of this order, which comprises several human and animal pathogens of medical and veterinary importance. In host cells, Nidovirales induce membrane rearrangements including autophagosome formation. The relevance and putative mechanism of autophagy usurpation, however, remain largely elusive. Here, we review the current knowledge about the possible interplay between Nidovirales and autophagy.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Bioentity 2017Funded by:SNSF | Analytic vaccinology, EC | INFLUENZA FUSION, EC | BROADimmuneSNSF| Analytic vaccinology ,EC| INFLUENZA FUSION ,EC| BROADimmuneAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::76d32731ba3a4ac889c013280faada19&type=result"></script>'); --> </script>
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Bioentity 2017Funded by:EC | INFLUENZA FUSION, EC | BROADimmune, SNSF | Analytic vaccinologyEC| INFLUENZA FUSION ,EC| BROADimmune ,SNSF| Analytic vaccinologyAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::5b73e6d28e78f0923ee4b8f48a412890&type=result"></script>'); --> </script>
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Research data keyboard_double_arrow_right Collection 2021Publisher:figshare Funded by:SNSF | COVID-evidence: a living ..., CIHR, EC | SUPPORT-ESNSF| COVID-evidence: a living database of trials on interventions for COVID-19 ,CIHR ,EC| SUPPORT-EAuthors: Axfors, Cathrine; Janiaud, Perrine; Schmitt, Andreas M.; van���t Hooft, Janneke; +196 AuthorsAxfors, Cathrine; Janiaud, Perrine; Schmitt, Andreas M.; van���t Hooft, Janneke; Smith, Emily R.; Haber, Noah A.; Abayomi, Akin; Abduljalil, Manal; Abdulrahman, Abdulkarim; Acosta-Ampudia, Yeny; Aguilar-Guisado, Manuela; Al-Beidh, Farah; Alejandria, Marissa M.; Alfonso, Rachelle N.; Ali, Mohammad; AlQahtani, Manaf; AlZamrooni, Alaa; Anaya, Juan-Manuel; Ang, Mark Angelo C.; Aomar, Ismael F.; Argumanis, Luis E.; Averyanov, Alexander; Baklaushev, Vladimir P.; Balionis, Olga; Benfield, Thomas; Berry, Scott; Birocco, Nadia; Bonifacio, Lynn B.; Bowen, Asha C.; Bown, Abbie; Cabello-Gutierrez, Carlos; Camacho, Bernardo; Camacho-Ortiz, Adrian; Campbell-Lee, Sally; Cao, Damon H.; Cardesa, Ana; Carnate, Jose M.; Castillo, German Jr. J.; Cavallo, Rossana; Chowdhury, Fazle R.; Chowdhury, Forhad U. H.; Ciccone, Giovannino; Cingolani, Antonella; Climacosa, Fresthel Monica M.; Compernolle, Veerle; Cortez, Carlo Francisco N.; Costa Neto, Abel; D���Antico, Sergio; Daly, James; Danielle, Franca; Davis, Joshua S.; De Rosa, Francesco Giuseppe; Denholm, Justin T.; Denkinger, Claudia M.; Desmecht, Daniel; D��az-Coronado, Juan C.; D��az Ponce-Medrano, Juan A.; Donneau, Anne-Fran��oise; Dumagay, Teresita E.; Dunachie, Susanna; Dungog, Cecile C.; Erinoso, Olufemi; Escasa, Ivy Mae S.; Estcourt, Lise J.; Evans, Amy; Evasan, Agnes L. M.; Fareli, Christian J.; Fernandez-Sanchez, Veronica; Galassi, Claudia; Gallo, Juan E.; Garcia, Patricia J.; Garcia, Patricia L.; Garcia, Jesus A.; Garigliany, Mutien; Garza-Gonzalez, Elvira; Gauiran, Deonne Thaddeus V.; Gaviria Garc��a, Paula A.; Giron-Gonzalez, Jose-Antonio; G��mez-Almaguer, David; Gordon, Anthony C.; Gothot, Andr��; Grass Guaqueta, Jeser Santiago; Green, Cameron; Grimaldi, David; Hammond, Naomi E.; Harvala, Heli; Heralde, Francisco M.; Herrick, Jesica; Higgins, Alisa M.; Hills, Thomas E.; Hines, Jennifer; Holm, Karin; Hoque, Ashraful; Hoste, Eric; Ignacio, Jose M.; Ivanov, Alexander V.; Janssen, Maike; Jennings, Jeffrey H.; Jha, Vivekanand; King, Ruby Anne N.; Kjeldsen-Kragh, Jens; Klenerman, Paul; Kotecha, Aditya; Krapp, Fiorella; Labanca, Luciana; Laing, Emma; Landin-Olsson, Mona; Laterre, Pierre-Fran��ois; Lim, Lyn-Li; Lim, Jodor; Ljungquist, Oskar; Llaca-D��az, Jorge M.; L��pez-Robles, Concepci��n; L��pez-C��rdenas, Salvador; Lopez-Plaza, Ileana; Lucero, Josephine Anne C.; Lundgren, Maria; Mac��as, Juan; Maganito, Sandy C.; Malundo, Anna Flor G.; Manrique, Rub��n D.; Manzini, Paola M.; Marcos, Miguel; Marquez, Ignacio; Mart��nez-Marcos, Francisco Javier; Mata, Ana M.; McArthur, Colin J.; McQuilten, Zoe K.; McVerry, Bryan J.; Menon, David K.; Meyfroidt, Geert; Mirasol, Ma. Angelina L.; Misset, Beno��t; Molton, James S.; Mondragon, Alric V.; Monsalve, Diana M.; Moradi Choghakabodi, Parastoo; Morpeth, Susan C.; Mouncey, Paul R.; Moutschen, Michel; M��ller-Tidow, Carsten; Murphy, Erin; Najdovski, Tome; Nichol, Alistair D.; Nielsen, Henrik; Novak, Richard M.; O���Sullivan, Matthew V. N.; Olalla, Julian; Osibogun, Akin; Osikomaiya, Bodunrin; Oyonarte, Salvador; Pardo-Oviedo, Juan M.; Patel, Mahesh C.; Paterson, David L.; Pe��a-Perez, Carlos A.; Perez-Calatayud, Angel A.; P��rez-Alba, Eduardo; Perkina, Anastasia; Perry, Naomi; Pouladzadeh, Mandana; Poyato, Inmaculada; Price, David J.; Quero, Anne Kristine H.; Rahman, Md. M.; Rahman, Md. S.; Ramesh, Mayur; Ram��rez-Santana, Carolina; Rasmussen, Magnus; Rees, Megan A.; Rego, Eduardo; Roberts, Jason A.; Roberts, David J.; Rodr��guez, Yhojan; Rodr��guez-Ba��o, Jes��s; Rogers, Benjamin A.; Rojas, Manuel; Romero, Alberto; Rowan, Kathryn M.; Saccona, Fabio; Safdarian, Mehdi; Santos, Maria Clariza M.; Sasadeusz, Joe; Scozzari, Gitana; Shankar-Hari, Manu; Sharma, Gorav; Snelling, Thomas; Soto, Alonso; Tagayuna, Pedrito Y.; Tang, Amy; Tatem, Geneva; Teofili, Luciana; Tong, Steven Y. C.; Turgeon, Alexis F.; Veloso, Januario D.; Venkatesh, Balasubramanian; Ventura-Enriquez, Yanet; Webb, Steve A.; Wiese, Lothar; Wik��n, Christian; Wood, Erica M.;Abstract Background Convalescent plasma has been widely used to treat COVID-19 and is under investigation in numerous randomized clinical trials, but results are publicly available only for a small number of trials. The objective of this study was to assess the benefits of convalescent plasma treatment compared to placebo or no treatment and all-cause mortality in patients with COVID-19, using data from all available randomized clinical trials, including unpublished and ongoing trials (Open Science Framework, https://doi.org/10.17605/OSF.IO/GEHFX ). Methods In this collaborative systematic review and meta-analysis, clinical trial registries (ClinicalTrials.gov, WHO International Clinical Trials Registry Platform), the Cochrane COVID-19 register, the LOVE database, and PubMed were searched until April 8, 2021. Investigators of trials registered by March 1, 2021, without published results were contacted via email. Eligible were ongoing, discontinued and completed randomized clinical trials that compared convalescent plasma with placebo or no treatment in COVID-19 patients, regardless of setting or treatment schedule. Aggregated mortality data were extracted from publications or provided by investigators of unpublished trials and combined using the Hartung���Knapp���Sidik���Jonkman random effects model. We investigated the contribution of unpublished trials to the overall evidence. Results A total of 16,477 patients were included in 33 trials (20 unpublished with 3190 patients, 13 published with 13,287 patients). 32 trials enrolled only hospitalized patients (including 3 with only intensive care unit patients). Risk of bias was low for 29/33 trials. Of 8495 patients who received convalescent plasma, 1997 died (23%), and of 7982 control patients, 1952 died (24%). The combined risk ratio for all-cause mortality was 0.97 (95% confidence interval: 0.92; 1.02) with between-study heterogeneity not beyond chance (I2 = 0%). The RECOVERY trial had 69.8% and the unpublished evidence 25.3% of the weight in the meta-analysis. Conclusions Convalescent plasma treatment of patients with COVID-19 did not reduce all-cause mortality. These results provide strong evidence that convalescent plasma treatment for patients with COVID-19 should not be used outside of randomized trials. Evidence synthesis from collaborations among trial investigators can inform both evidence generation and evidence application in patient care.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2021Publisher:figshare Funded by:EC | EpiPose, SNSF | Zika virus: causality, op...EC| EpiPose ,SNSF| Zika virus: causality, open science and risks of emerging infectious diseasesAuthors: Ipekci, Aziz Mert; Buitrago-Garcia, Diana; Meili, Kaspar Walter; Krauer, Fabienne; +13 AuthorsIpekci, Aziz Mert; Buitrago-Garcia, Diana; Meili, Kaspar Walter; Krauer, Fabienne; Prajapati, Nirmala; Shabnam Thapa; Wildisen, Lea; Araujo-Chaveron, Lucia; Baumann, Lukas; Shah, Sanam; Whiteley, Tessa; Solís-García, Gonzalo; Tsotra, Foteini; Zhelyazkov, Ivan; Imeri, Hira; Low, Nicola; Counotte, Michel Jacques;Abstract Background Outbreaks of infectious diseases generate outbreaks of scientific evidence. In 2016 epidemics of Zika virus emerged, and in 2020, a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a pandemic of coronavirus disease 2019 (COVID-19). We compared patterns of scientific publications for the two infections to analyse the evolution of the evidence. Methods We annotated publications on Zika virus and SARS-CoV-2 that we collected using living evidence databases according to study design. We used descriptive statistics to categorise and compare study designs over time. Results We found 2286 publications about Zika virus in 2016 and 21,990 about SARS-CoV-2 up to 24 May 2020, of which we analysed a random sample of 5294 (24%). For both infections, there were more epidemiological than laboratory science studies. Amongst epidemiological studies for both infections, case reports, case series and cross-sectional studies emerged first, cohort and case-control studies were published later. Trials were the last to emerge. The number of preprints was much higher for SARS-CoV-2 than for Zika virus. Conclusions Similarities in the overall pattern of publications might be generalizable, whereas differences are compatible with differences in the characteristics of a disease. Understanding how evidence accumulates during disease outbreaks helps us understand which types of public health questions we can answer and when.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2021Publisher:figshare Funded by:EC | METRO, WT, WT | The Economic Gaze : The W... +1 projectsEC| METRO ,WT ,WT| The Economic Gaze : The World Bank s Influence on Global Public Health. ,SNSF| The Impact of Financialisation on Global Health: A Series of Pharmaceutical Case StudiesTichenor, Marlee; Winters, Janelle; Storeng, Katerini T.; Bump, Jesse; Gaudillière, Jean-Paul; Gorsky, Martin; Hellowell, Mark; Kadama, Patrick; Kenny, Katherine; Shawar, Yusra Ribhi; Songane, Francisco; Walker, Alexis; Whitacre, Ryan; Asthana, Sumegha; Fernandes, Genevie; Stein, Felix; Sridhar, Devi;Abstract Background In the nearly half century since it began lending for population projects, the World Bank has become one of the largest financiers of global health projects and programs, a powerful voice in shaping health agendas in global governance spaces, and a mass producer of evidentiary knowledge for its preferred global health interventions. How can social scientists interrogate the role of the World Bank in shaping ‘global health’ in the current era? Main body As a group of historians, social scientists, and public health officials with experience studying the effects of the institution’s investment in health, we identify three challenges to this research. First, a future research agenda requires recognizing that the Bank is not a monolith, but rather has distinct inter-organizational groups that have shaped investment and discourse in complicated, and sometimes contradictory, ways. Second, we must consider how its influence on health policy and investment has changed significantly over time. Third, we must analyze its modes of engagement with other institutions within the global health landscape, and with the private sector. The unique relationships between Bank entities and countries that shape health policy, and the Bank’s position as a center of research, permit it to have a formative influence on health economics as applied to international development. Addressing these challenges, we propose a future research agenda for the Bank’s influence on global health through three overlapping objects of and domains for study: knowledge-based (shaping health policy knowledge), governance-based (shaping health governance), and finance-based (shaping health financing). We provide a review of case studies in each of these categories to inform this research agenda. Conclusions As the COVID-19 pandemic continues to rage, and as state and non-state actors work to build more inclusive and robust health systems around the world, it is more important than ever to consider how to best document and analyze the impacts of Bank’s financial and technical investments in the Global South.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPublisher:Eawag: Swiss Federal Institute of Aquatic Science and Technology Funded by:SNSF | COWWID-19 | Surveillance ..., EC | EuroTechPostdocSNSF| COWWID-19 | Surveillance of SARS-CoV-2 in Wastewater - an Early Warning System to Track the Spatio-temporal Development of COVID-19 ,EC| EuroTechPostdocJulian, Tim; Kull, Anina; Stachler, Elyse; Fernandez, Xavier; Beerenwinkel, Niko; Kohn, Tamar; Ort, Christoph; Caduff, Lea; Dreifuss, David; Schindler, Tobias; Devaux, Alexander Jefferson; Ganesanandamoorthy, Pravin;doi: 10.25678/0005et
Wastewater samples from ARA Werdh��lzli were analyzed for the presence of SARS-CoV-2 RNA from December 2020 through March 2021 using digital PCR. The digital PCR assay was a drop-off assay using primers and probes covering the spike deletion 69-70 and the ORF1a deletion 3675-5677. The drop-off assay allows quantitative estimates of the proportion of the total SARS-CoV-2 RNA in the wastewater that contains the target deletion regions. The data was collected, analyzed, and reported within the following manuscript:Caduff L, Dreifuss D, Schindler T, Devaux AJ, Ganesanandamoorthy P, Kull A, Stachler E, Fernandez-Cassi X, Beerenwinkel N, Kohn T, Ort C, Julian TR. Inferring transmission fitness advantage of SARS-CoV-2 variants of concern in wastewater using digital PCR. In Preparation.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2020Publisher:figshare Funded by:ARC | Discovery Projects - Gran..., SNSF | Statistical Inference on ..., EC | PERISCOPE +1 projectsARC| Discovery Projects - Grant ID: DP200102101 ,SNSF| Statistical Inference on Large-Scale Mechanistic Network Models ,EC| PERISCOPE ,ARC| ARC Centres of Excellence - Grant ID: CE140100049Warne, David J.; Ebert, Anthony; Drovandi, Christopher; Wenbiao Hu; Mira, Antonietta; Mengersen, Kerrie;Abstract Background The global impact of COVID-19 and the country-specific responses to the pandemic provide an unparalleled opportunity to learn about different patterns of the outbreak and interventions. We model the global pattern of reported COVID-19 cases during the primary response period, with the aim of learning from the past to prepare for the future. Methods Using Bayesian methods, we analyse the response to the COVID-19 outbreak for 158 countries for the period 22 January to 9 June 2020. This encompasses the period in which many countries imposed a variety of response measures and initial relaxation strategies. Instead of modelling specific intervention types and timings for each country explicitly, we adopt a stochastic epidemiological model including a feedback mechanism on virus transmission to capture complex nonlinear dynamics arising from continuous changes in community behaviour in response to rising case numbers. We analyse the overall effect of interventions and community responses across diverse regions. This approach mitigates explicit consideration of issues such as period of infectivity and public adherence to government restrictions. Results Countries with the largest cumulative case tallies are characterised by a delayed response, whereas countries that avoid substantial community transmission during the period of study responded quickly. Countries that recovered rapidly also have a higher case identification rate and small numbers of undocumented community transmission at the early stages of the outbreak. We also demonstrate that uncertainty in numbers of undocumented infections dramatically impacts the risk of multiple waves. Our approach is also effective at pre-empting potential flare-ups. Conclusions We demonstrate the utility of modelling to interpret community behaviour in the early epidemic stages. Two lessons learnt that are important for the future are: i) countries that imposed strict containment measures early in the epidemic fared better with respect to numbers of reported cases; and ii) broader testing is required early in the epidemic to understand the magnitude of undocumented infections and recover rapidly. We conclude that clear patterns of containment are essential prior to relaxation of restrictions and show that modelling can provide insights to this end.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2019Publisher:figshare Funded by:AKA | Viral Inception of Asthma..., SNSF | T cell interaction with t..., AKA | Viral Inception of Asthma +1 projectsAKA| Viral Inception of Asthma: Prospective study from infancy to school-age. VINKU2-study ,SNSF| T cell interaction with tissue cells in allergic inflammation ,AKA| Viral Inception of Asthma ,EC| PREDICTAMikola, Emilia; Palomares, Oscar; Turunen, Riitta; Waris, Matti; Ivaska, Lotta; Silvoniemi, Antti; Puhakka, Tuomo; Rückert, Beate; Vuorinen, Tytti; Mübeccel Akdis; Akdis, Cezmi; Jartti, Tuomas;Abstract Background Rhinovirus A and C infections are important contributors to asthma induction and exacerbations. No data exist on the interaction of local immune responses in rhinovirus infection. Therefore, we aimed to determine the tonsillar immune responses according to rhinovirus A, B and C infections. Methods We collected tonsillar samples, nasopharyngeal aspirates and peripheral blood from 42 rhinovirus positive tonsillectomy patients. Fifteen respiratory viruses or their types were investigated from nasopharynx and tonsil tissue, and rhinovirus species were typed. The expression of 10 cytokines and 4 transcription factors (IFN-α, IFN-β, IFN-γ, IL-10, IL-13, IL-17, IL-28, IL-29, IL-37, TGF-β, FOXP3, GATA3, RORC2 and Tbet) were studied from tonsil tissue by quantitative PCR. A standard questionnaire of respiratory symptoms and health was filled by the patient or his/her guardian. The patients were divided into three groups by the determination of rhinovirus species. Results Overall, 16 patients had rhinovirus A, 12 rhinovirus B and 14 rhinovirus C infection. In rhinovirus B positive group there were significantly less men (P = 0.0072), less operated in spring (P = 0.0096) and more operated in fall (P = 0.030) than in rhinovirus A or C groups. Rhinovirus A positive patients had more respiratory symptoms (P = 0.0074) and particularly rhinitis (P = 0.036) on the operation day. There were no significant differences between the groups in virus codetection. In adjusted analysis, rhinovirus C infections were associated with increased IFN-α (P = 0.045) and decreased RORC2 expression (P = 0.025). Conclusions Rhinovirus species associated differently with clinical characteristics and tonsillar cytokine responses.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.4764986&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Publisher:Taylor & Francis Funded by:SNSF | ER-phagy mechanisms to ma..., EC | PRONKJEWAILSNSF| ER-phagy mechanisms to maintain and restore endoplasmic reticulum homeostasis ,EC| PRONKJEWAILMauthe, Mario; Idil Orhon; Rocchi, Cecilia; Xingdong Zhou; Luhr, Morten; Kerst-Jan Hijlkema; Coppes, Robert P.; Engedal, Nikolai; Mari, Muriel; Reggiori, Fulvio;Macroautophagy/autophagy is a conserved transport pathway where targeted structures are sequestered by phagophores, which mature into autophagosomes, and then delivered into lysosomes for degradation. Autophagy is involved in the pathophysiology of numerous diseases and its modulation is beneficial for the outcome of numerous specific diseases. Several lysosomal inhibitors such as bafilomycin A1 (BafA1), protease inhibitors and chloroquine (CQ), have been used interchangeably to block autophagy in in vitro experiments assuming that they all primarily block lysosomal degradation. Among them, only CQ and its derivate hydroxychloroquine (HCQ) are FDA-approved drugs and are thus currently the principal compounds used in clinical trials aimed to treat tumors through autophagy inhibition. However, the precise mechanism of how CQ blocks autophagy remains to be firmly demonstrated. In this study, we focus on how CQ inhibits autophagy and directly compare its effects to those of BafA1. We show that CQ mainly inhibits autophagy by impairing autophagosome fusion with lysosomes rather than by affecting the acidity and/or degradative activity of this organelle. Furthermore, CQ induces an autophagy-independent severe disorganization of the Golgi and endo-lysosomal systems, which might contribute to the fusion impairment. Strikingly, HCQ-treated mice also show a Golgi disorganization in kidney and intestinal tissues. Altogether, our data reveal that CQ and HCQ are not bona fide surrogates for other types of late stage lysosomal inhibitors for in vivo experiments. Moreover, the multiple cellular alterations caused by CQ and HCQ call for caution when interpreting results obtained by blocking autophagy with this drug.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.6682364.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.6682364.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2017 Netherlands English Funded by:NWO | A three-dimensional look ..., EC | PRONKJEWAIL, SNSF | ER-phagy mechanisms to ma...NWO| A three-dimensional look into autophagy ,EC| PRONKJEWAIL ,SNSF| ER-phagy mechanisms to maintain and restore endoplasmic reticulum homeostasisAuthors: Cong, Yingying; Verlhac, Pauline; Reggiori, Fulvio;Cong, Yingying; Verlhac, Pauline; Reggiori, Fulvio;Autophagy is a conserved intracellular catabolic pathway that allows cells to maintain homeostasis through the degradation of deleterious components via specialized double-membrane vesicles called autophagosomes. During the past decades, it has been revealed that numerous pathogens, including viruses, usurp autophagy in order to promote their propagation. Nidovirales are an order of enveloped viruses with large single-stranded positive RNA genomes. Four virus families (Arterividae, Coronaviridae, Mesoniviridae, and Roniviridae) are part of this order, which comprises several human and animal pathogens of medical and veterinary importance. In host cells, Nidovirales induce membrane rearrangements including autophagosome formation. The relevance and putative mechanism of autophagy usurpation, however, remain largely elusive. Here, we review the current knowledge about the possible interplay between Nidovirales and autophagy.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Bioentity 2017Funded by:SNSF | Analytic vaccinology, EC | INFLUENZA FUSION, EC | BROADimmuneSNSF| Analytic vaccinology ,EC| INFLUENZA FUSION ,EC| BROADimmuneAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::76d32731ba3a4ac889c013280faada19&type=result"></script>'); --> </script>
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Bioentity 2017Funded by:EC | INFLUENZA FUSION, EC | BROADimmune, SNSF | Analytic vaccinologyEC| INFLUENZA FUSION ,EC| BROADimmune ,SNSF| Analytic vaccinologyAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::5b73e6d28e78f0923ee4b8f48a412890&type=result"></script>'); --> </script>
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