Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Ocular findings in children with acute leukemia at a tertiary care center in South America

PURPOSE: The purpose of this study was to evaluate ophthalmological findings in patients with acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) in a Latin American population. MATERIALS AND METHODS: This was a single-center, retrospective study. The observational analysis was conducted in AML and ALL patients seen as a routine examination at the department of ophthalmology of tertiary care center in Argentina between March 1, 2017, and February 28, 2018. RESULTS: Overall, 137 patients with acute leukemia were included. The mean age was 7.9 ± 5.2 years (0–18), and 55% were male (n = 75) and 45% female (n = 45). At least one-fifth (n = 31) of the patients presented some type of ocular manifestation (23%). The most frequently observed manifestation was retinal hemorrhages (n = 14), followed by papilledema (n = 9) and ocular surface involvement (n = 5). The eye involvement was more frequently identified in the AML group (24%), compared to the ALL group (22%), especially papilledema with central nervous system compromise ALL (5%) and AML (11%), P < 0.01. The presence of hemorrhages was similar in both groups. In patients with retinal hemorrhage (n = 14), the mean hematological findings were hemoglobin 7.4 ± 0.4 g/dL (6.5–8.0), erythrocytes 2.5M ± 0.3/mm3 (confidence interval [CI], 2.0–3.1), and platelets 76,000 ± 32,000/mm3 (CI, 8000–384,000). Patients without retinal findings (n = 123), the mean hematological findings were hemoglobin 9.1 ± 0.6 g/dL (8.0–10.2), erythrocytes 3.2M ± 0.6/mm3 (CI, 2.5–3.5), and platelets 92,000 ± 44,000/mm3 (CI, 42.000–390.000). Multivariable analysis found that hemoglobin levels were the most reliable predictive factor for retinal findings. It was observed that the risk diminishes in patients with levels higher than 8.5 g/dL, and that it increased in patients with levels ranging between 6.5 and 7.5 g/dL at least twice (P < 0.01). CONCLUSIONS: Our results show that ocular involvement occurs in a high percentage of patients with leukemia with a clear clinical, humoral, and sometimes prognostic correlation, suggesting routine ophthalmologic evaluation in these patients

Maternal Administration of the CNS-Selective Sobetirome Prodrug Sob-AM2 Exerts Thyromimetic Effects in Murine MCT8-Deficient Fetuses

[Background]: Monocarboxylate transporter 8 (MCT8) deficiency is a rare X-linked disease where patients exhibit peripheral hyperthyroidism and cerebral hypothyroidism, which results in severe neurological impairments. These brain defects arise from a lack of thyroid hormones (TH) during critical stages of human brain development. Treatment options for MCT8-deficient patients are limited and none have been able to prevent or ameliorate effectively the neurological impairments. This study explored the effects of the TH agonist sobetirome and its CNS-selective amide prodrug, Sob-AM2, in the treatment of pregnant dams carrying fetuses lacking Mct8 and deiodinase type 2 (Mct8/Dio2 KO), as a murine model for MCT8 deficiency. [Methods]: Pregnant dams carrying Mct8/Dio2 KO fetuses were treated with 1 mg of sobetirome/kg body weight/day, or 0.3 mg of Sob-AM2/kg body weight/day for 7 days, starting at embryonic day 12.5 (E12.5). As controls, pregnant dams carrying wild-type and pregnant dams carrying Mct8/Dio2 KO fetuses were treated with daily subcutaneous injections of vehicle. Dams TH levels were measured by enzyme-linked immunosorbent assay (ELISA). Samples were extracted at E18.5 and the effect of treatments on the expression of triiodothyronine (T3)-dependent genes was measured in the placenta, fetal liver, and fetal cerebral cortex by real-time polymerase chain reaction. [Results]: Maternal sobetirome treatment led to spontaneous abortions. Sob-AM2 treatment, however, was able to cross the placental as well as the brain barriers and exert thyromimetic effects in Mct8/Dio2 KO fetal tissues. Sob-AM2 treatment did not affect the expression of the T3-target genes analyzed in the placenta, but it mediated thyromimetic effects in the fetal liver by increasing the expression of Dio1 and Dio3 genes. Interestingly, Sob-AM2 treatment increased the expression of several T3-dependent genes in the brain such as Hr, Shh, Dio3, Kcnj10, Klf9, and Faah in Mct8/Dio2 KO fetuses. [Conclusions]: Maternal administration of Sob-AM2 can cross the placental barrier and access the fetal tissues, including the brain, in the absence of MCT8, to exert thyromimetic actions by modulating the expression of T3-dependent genes. Therefore, Sob-AM2 has the potential to address the cerebral hypothyroidism characteristic of MCT8 deficiency from fetal stages and to prevent neurodevelopmental alterations in the MCT8-deficient fetal brain.This study was supported by the Spanish Ministry of Science and Innovation (MCIN)/AEI/10.13039/501100011033 (grant no. SAF2017-86342-R to A.G.-F.); MCIN/AEI/10.13039/501100011033/FEDER ‘‘Una manera de hacer Europa’’ (grant no. PID2020-113139RB-I00 to A.G.-F.); Consejo Superior de Investigaciones Cientı´ficas (grant no. 2020AEP044 to A.G.-F.); the Sherman Foundation (grant no. OTR02211 to S.B.-L. and A.G.-F.); Asociacio´n Corriendo con el Corazo´n por Hugo (grant no. OTR06190 to A.G.-F.), and MCIN/EU (grant no. IJC2020-043543-I) to S.B.-L. V.V.-H. is recipient of a contract from MCIN ‘‘El FSE invierte en tu futuro’’ (grant no. PRE2018-086185) and M.G.-Y. from the MCIN, Programa de Formacio´n de Profesorado Universitario (FPU, FPU19/02006).Peer reviewe

IL-15 controls T cell functions through its influence on CD30 and OX40 antigens in Celiac Disease

AIM: To evaluate the ability of interleukin (IL)-15 to control T cell functions through its influence on CD30 and OX40 expressing cells in Celiac Disease (CD). In peripheral blood (PB), by examining the expression of OX40 in conventional effectors cells and T cells with a phenotypic specialization of regulatory cells [CD4+CD25high forkhead box protein 3 (Foxp3)+], and the co stimulation of IFN-γ and IL-4 production within CD30 and OX40 positive subsets of T cells. At the duodenal mucosa, by assessing the expression of CD30 and OX40 in intraepithelial (IE) and lamina propria (LP) lymphocytes (IEL, LPL). PATIENTS AND METHODS: PB and duodenal mucosal biopsies were obtained from 38 patients with classic CD (Cel) and 38 healthy controls (HC). Analysis of cell surface and/or intracellular antigens was performed in anti-CD3-treated PB mononuclear cells (PBMC) before and after treatment with recombinant IL-15 (rIL-15), and in IE and LP cellular suspensions prepared from duodenal biopsies pre-treated with/without rIL-15. RESULTS: A subpopulation of CD3+OX40+ T blasts was induced in Cel and HC by a 3days treatment of PBMC with anti-CD3 and decreased its size thereafter, regardless of the presence of rIL-15. However, the addition of rIL-15 to T blasts distinctively induced the survival of T cells with a regulatory phenotype that expresses OX40 antigen in Cel (p<0.05). Celiac patients showed higher frequencies of IFN-γ-producing CD3+CD30+ blasts before and after treatment with rIL-15 (p<0.05, vs. HC). IL-15 increased the frequencies of CD3+CD30+ LPL (HC: p<0.05, Cel: p<0.05) but not of CD3+OX40+ LPL, and CD30 or OX40 positive IEL. CONCLUSIONS: The distinctive control of OX40+ cells with a T regulatory phenotype mediated by the influence of IL-15 comes out as new function of this cytokine in the context of CD. The higher production of IFN-γ by a subpopulation of peripheral CD3+CD30+ cells contributes to the type I biased immune response.Fil: Periolo, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; ArgentinaFil: Guillen, Laura Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; ArgentinaFil: Arruvito, Maria Lourdes. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; ArgentinaFil: Alegre, Nadia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; ArgentinaFil: Niveloni, S. I.. Gobierno de la Ciudad de Buenos Aires. Hospital de Gastroenterología "dr C.b.udaondo"; ArgentinaFil: Hwang, J. H.. Gobierno de la Ciudad de Buenos Aires. Hospital de Gastroenterología "dr C.b.udaondo"; ArgentinaFil: Bai, J. C.. Gobierno de la Ciudad de Buenos Aires. Hospital de Gastroenterología "dr C.b.udaondo"; ArgentinaFil: Cherñavsky, Alejandra Claudia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; Argentin

Correction to: Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study (Intensive Care Medicine, (2021), 47, 2, (160-169), 10.1007/s00134-020-06234-9)

1832The original version of this article unfortunately contained a mistake. The members of the ESICM Trials Group Collaborators were not shown in the article but only in the ESM. The full list of collaborators is shown below. The original article has been corrected.openopenLabeau S.O.; Afonso E.; Benbenishty J.; Blackwood B.; Boulanger C.; Brett S.J.; Calvino-Gunther S.; Chaboyer W.; Coyer F.; Deschepper M.; Francois G.; Honore P.M.; Jankovic R.; Khanna A.K.; Llaurado-Serra M.; Lin F.; Rose L.; Rubulotta F.; Saager L.; Williams G.; Blot S.I.; Muzha D.; Ribas A.M.; Lipovesty F.; Loudet C.; Eller P.; Mostafa N.; Honore P.M.; Telleria V.M.; Smajic J.; Nogueira P.C.; Nafees K.M.K.; Hentchoya R.; Soledad J.; Cardenas Y.; Reyes A.G.; Sustic A.; Mpouzika M.; Vymazal T.; Jensen H.I.; Aguirre-Bermeo H.; Maddison L.; Valta M.; Bloos F.; Adipa F.E.; Koulouras V.; Enamorado J.; Agoston Z.; Birgisdottir H.; Gupta A.; Gurjar M.; Kilapong B.; Hashemian S.M.; Martin-Loeches I.; Cortegiani A.; Fletcher K.; Hayashi Y.; Waweru-Siika W.; Abidi K.; Lee S.-M.; Hadri B.; Dolgusevs M.; Abillama F.F.; Jovaisa T.; Thix C.; Elhadi M.; Nor B.M.; Ratnam S.; Mazlan M.Z.; Maiyalagan S.; Sanchez-Hurtado L.; Belii A.; Naranpurev M.; Gautam P.; De lange D.; Parke R.; Ilesanmi R.E.; Shosholcheva M.; Petosic A.; Lind R.; Ffarcsi M.H.; Bogarin J.; Hernandez A.M.; Mikaszewska-Sokolewicz M.; Sousa B.; Tomescu D.; Sandesc D.; Twagirumugabe T.; Gusarov V.; Ebaid M.; Slobodianiuk G.; Martonova A.; Knafelj R.; Mer M.; Maseda E.; Panka B.; Schefold J.C.; Joelsson-Alm E.; Trongtrakul K.; Merritt-Charles L.; Besbes L.O.; Dikmen Y.; Zgrzheblovska L.; Fielding M.; von der Osten I.; Muzha D.; Greca A.; Cani A.; Xhindi N.; Hyska G.; Ribas A.M.; Pinto S.; Alves P.; Esposito R.; Valgolio E.; Minope J.T.S.; Abdala A.; Ayala M.; Bravo S.; Bantar A.; Delgado P.; Badariotti G.; Lipovestky F.; Diaz A.; Saul P.; Setten M.; Aucapina A.; Acosta Y.; Gonzalez V.; Camputaro L.; Baccaro F.; Villa R.; Diaz A.; Mastantuono M.; Dean E.; Rostello O.F.; Brizuela P.; Bartoli J.R.; Guereschi M.; Quiroga C.; Putruele S.; Villegas P.; Curilen V.; Fernandez R.; Nocheretti M.G.; Escalante R.G.; Loudet C.I.; Fernandez S.; Gonzalez A.L.; Alvarez G.A.; Iglesias F.; Chaparro S.; Zakalik G.; Pagella G.; Baini M.; Campos P.A.; Sabbag I.; Schmukler A.; Fonseca I.P.; Alvarez G.M.; Ramirez M.; Tapia F.; Bascary C.A.; del Valle Gimenez G.; Bertoletti F.P.; Milioto E.; Bonsignore P.J.M.; Fernandez M.A.; Smith J.; Chimunda T.; Thompson L.; Maguire T.; Watts S.; Mitchell M.; Powell M.; Lye I.; Parsons L.; Baker N.; Reynolds C.; Thompson A.; Masters K.; Sosnowski K.; Morrison L.; Leslie G.D.; Lakshmanan R.; Tabah A.; Brown W.; McDowell-Skaines S.; McLucas A.; Smith C.; Tallot M.; Jones S.; Barakat-Johnson M.; Leong T.; Butcher R.; Martin K.; Douschan P.; von Lewinski D.; Eller P.; Schmutz R.; Kolussi U.; Salman F.; Ateya Z.; Mostafa N.; De Decker K.; Van Regenmortel N.; Jans A.; Wijnands P.; Coremans S.; De Bels D.; Depuydt T.; Paillet C.; Jacquet L.-M.; Swinnen W.; Hannes F.; Mergeay M.; Van de Velde S.; Allaert S.; Hoste P.; Borin C.; Balon S.; Fraipont V.; Biston P.; De Schryver N.; Dugernier T.; Van Cotthem I.; Telleria V.M.; Smajic J.; de Almeida A.O.; Jorge S.A.; Becker D.; Schmidt R.C.; Oliveira E.; Ramalho A.; Mazocoli E.; Fioretti A.; Barros E.; Serpa L.; Bianchini S.; Campanili T.; Pantaleao T.; Garcia P.C.; Ronchini A.L.V.; Santos R.; Nafees K.M.K.; Manap N.B.A.; Hentchoya R.; Bagshaw S.; Carney D.; Bagshaw S.; Davidow J.; Bagshaw S.; Rokosh E.; Bagshaw S.; Laizner A.M.; Smith S.; McQuirter M.; Kampayana B.S.; Favre R.; Sills M.; Laizner A.M.; Dallaire J.; Laizner A.M.; Becker C.; Microys S.; Bowes B.; Lajeunesse J.; Ghosh R.; Baptiste-Savoie J.; Raizman R.; Bagshaw S.; Suen G.; Taghavi N.; Smith O.; Fielding C.; Canales J.; Molina P.; Chaparro J.; Sepulveda M.I.; Zamorano M.J.F.; Rocha P.; Villanueva X.; Araya P.; Dayan M.; Avalos F.; Li X.; Liu Y.; Li X.; Chen X.; Jiang Z.; Yang J.; Chen J.; Yang L.; Wang K.; Gao J.; Fang X.; Zhao R.; Xia X.; Liu H.; Li J.; Wang H.; Meng G.; Di Y.; Wang D.; Zhao R.H.; Hu L.P.; Fang X.; Peipei X.; Jiao Q.F.; Wang H.Y.; Xia C.J.; Liu Y.; Ye M.; Wan Y.; Wang W.; Ding Y.; Ren A.; Gao Y.; Li Q.; Du G.; Yang J.; Shen Y.; Ding Y.; Li N.; Yuan C.; Li J.; Tan L.; Lin Q.; Guo H.; Yan H.; Xu X.; Zhang W.; Liang J.; Zhang L.; Tian E.; Zhao Q.; InSu L.; Dong J.; Gu Y.; Liu Y.; Zhao L.; Wang W.; Qiao H.; Tuo L.; Lv M.; Zhu J.Y.; Zhu J.F.; Wei Y.; Liu M.; He Y.; Cheng J.; Liu J.; Jia N.; Wei D.; Li Q.; Wu X.; Duan H.; Lin D.; Liang Q.; Luo X.; Xiong Y.; Huang R.F.; Fu J.; Zan T.; Ye M.; Shi Z.; Long Y.; Lei Y.; Liu X.; Yumei C.; Wang L.L.; Zhang Y.; Xu Y.; Cheng; Zhijuan W.; Sun C.; Song J.H.; Wang Y.; Liu X.M.; Liu Y.; Yuan Y.; Huang Q.; Yang F.; Wu Y.; Luo X.; Bai X.; Zheng H.; Song M.; Sun Y.; Li Z.S.; Luo F.; Liu M.; Li L.C.; Li X.; Zhang G.; Xiao L.; Yu T.; Gao G.; Wei W.; Wang F.; Han T.; Li T.; Zeng Q.; Zeng J.M.; Long Y.; Pan F.; Wang J.; He G.; Chen H.; Zhang F.; Chao Y.; Chunhua G.; Yao X.; Bai D.; Liu L.; Xu X.; Wang Y.; Liang X.; Zhang N.; Li X.; Zhang A.; Chen X.; Hu X.C.; Zhang H.; Wang R.X.; Tak P.S.; Ho S.W.; Jiang Q.X.; Ding X.; Hong L.; Miao L.; Feng Z.; Huang L.P.; Wu J.; Wang Y.; Guo J.; Zhang B.; Ma C.; Han Y.; Liu C.; Ding M.; Luan L.; Zheng J.; Lv S.; Jiang S.; Cao W.; Xue X.; Li J.; Liu G.; Wang J.; Wei X.; Zhang W.; Jiang Y.; Yao Z.; Gao L.; Li J.; Zhao W.; Jiang M.; Hao J.; Zhang J.; Song C.; Chen F.; Wang S.; Hu L.; Cao D.; Liu Y.; Wan J.; Wang X.; Shao H.; Zhang Z.; Cui X.; Liu J.; Zhao L.; Li X.; Fan L.; Zhang L.; Yu M.; Li B.; Li C.; Liu L.; Liu X.L.; Chen W.; Li Y.; Zhigang Z.; Yuchen W.; Mu C.; Zhu G.; Yang F.; Bo Q.; Li L.; Chen M.; Jiang J.H.; Yin H.; Pang X.; Gong Y.Y.; Yang S.; Yan X.; Zheng X.; Lei D.H.; Lei L.; Guo Y.; Liu L.; Yu J.; Sun W.; Bi A.P.; Li W.; Wu Y.; Li J.; Ni D.; Li X.; Liu Y.; Wu Z.; Song B.; Chen J.; Fei Q.; Xiaoyan Y.; Ran Q.; Xixi L.; Jiao X.; Ji H.; Zhiping S.; Hong M.; Jianhong M.; Hao Y.; Yin L.; Wang Y.; Hui C.; Ju W.; Xia X.; Huo Y.; Wang Y.; Chen L.; Yan Y.; Zhao Q.; Chen H.; Bao G.; Cao Y.; Hong L.; Zhang H.; Zhang Y.; Xu L.; Guixiang J.; Li Y.; Zhao H.M.; Huang X.; Dai Z.; Jian Y.; Zhang H.; Tian Z.; Cao Z.Q.; Li M.; Liu Y.; Ouyang F.; Ma F.; Jin W.; Ge L.; Wu S.F.; Li J.; Yuan W.; Chen T.; Shi G.; Chen Z.; Liu K.; Lin X.; Yuemen L.; Lijuan S.; Tian X.F.; Wang S.; Feng Z.X.; Liu X.Z.; Dong Y.; Zhang J.; Bocui N.; Jiang Z.X.; Yang J.; Wang G.X.; Zhao Y.; Wu X.; Yang Q.; Hu R.L.; Li X.Q.; Yu Z.J.; Yao Y.; Deng X.; Xiao Y.; Xie Y.; Yang Y.; Yang H.; Zhou Y.; Li Z.; Xiao M.; Yang Y.X.; Tian Y.; Gama L.M.S.; Hernandez J.S.; Cardenas Y.; Caicedo N.; Marin J.; Ochoa M.-E.; Gomez M.; Rojas-Suarez J.; Gonzalez J.; Reyes A.J.G.; Chapeta E.; Orozco E.; Filipovic-Grcic I.; Vukovic A.; Pecenkovic S.; Suput A.; Sustic A.; Zivanovic-Posilovic G.; Bozena A.; Udiljak N.; Milic M.; Radivojevic R.C.; Mihaljevic S.; Matas M.; Tonkovic D.; Culjak H.; Herceg I.; Pavlisa G.; Dobric M.; Beker T.; Adam V.N.; Goranovic T.; Markoulias C.; Mathaios M.; Mylordou M.; Achilleos E.; Kleanthous P.; Kotanidi V.; Foka M.; Charalabous I.; Alexandrou A.; Georgiou M.; Patsalos A.; Zepoy S.; Constantinou C.; Piza P.; Vymazal T.; Wiborg E.; Bruhn L.; Kaasby K.; Pedersen K.R.; Mikkelsen S.; Collet M.; Langvad A.; Andresen H.; Fischer S.; Kjaergard I.E.; Jepsen B.; Husted B.; Bestle M.; Kodal A.M.; Hansen T.C.B.; Pedersen A.S.B.; Thomsen T.D.; Hoegenhaven A.; From M.; Frandsen T.M.; Henning G.; Hansen A.; Jensen H.I.; Bliksted I.A.; Tamayo L.M.; Mogrovejo P.; Aguirre-Bermeo H.; Palaez C.; Tutillo D.R.M.; Hurtado C.V.; Garcia M.F.; Alvarez D.; Guerrero F.; Vasquez A.; Kutimets M.; Tamme K.; Maddison L.; Anvelt E.; Dlamini-Sserumaga L.; Lofqvist C.; Lusenius V.; Kauppi O.; Sakki J.-K.; Tervo-Heikkinen T.; Kesti U.; Merilainen M.; Karjula E.; Peltomaa M.; Palmu A.; Ahtiala M.; Valta M.A.; Mentec H.; Plantefeve G.; Besch G.; Pili-Floury S.; Ledochowski S.; Deserts M.D.; Giacardi C.; Daubin C.; Massard A.; Le Guen Y.; Blanc A.; Mandaroux S.; Gunther S.C.; Avogadro P.; Radavidson A.; Turc J.; Jochmans S.; Quintard H.; Boyer L.; Bruel C.; Philippart F.; Montravers P.; Atchade E.; Flessel N.; Chinardet B.; Soulisse L.; Pillard C.; Ngo D.; Bongiorno B.; Heitzler N.; Souppart V.; Gautheret N.; Timsit J.-F.; Essardy F.; Fartoukh M.; Mehay D.; Etourneau F.; Farkas J.-C.; Beuret P.; Preda G.; De Montmollin E.; Castelain V.; Jaschinski U.; Rothenfusser M.; Kindgen-Milles D.; Dimski T.; Fiedler C.; Heinicke T.; Meybohm P.; Schulze T.; Bota M.; Pelz S.; Odenthal T.; Christ M.; Bloos F.; Bosl K.; Chovas A.; Stehr S.; Simon P.; Grotheer S.; Schuppel S.; Schaller S.; Albrecht L.; Stubner A.; Graeser S.; Kolbe N.; Lausch M.; Diers A.; Guenther U.; Riessen R.; Roller M.; Osei I.P.; Kusi-Appiah A.-C.; Yakubu Y.H.; Guadi-Gosh B.; Dragoumanis C.; Christofis C.; Kazakos N.; Bastani S.; Martinos C.; Bekos V.; Papanikolaou M.; Papavasilopoulou T.; Efthymiou A.; Chantziara V.; Kyriakoudi A.; Kakaras N.; Diakaki C.; Flevari A.; Nikolaou C.; Katerina K.; Avramopoulou L.; Tsikritsaki K.; Gkiokas G.; Pantiora E.; Katsenos C.; Patsiou E.-C.; Alexandropoulou P.; Koutsodimitropoulos I.; Farmakis E.; Nestora K.; Chatzis M.; Kondili E.; Soundoulounaki S.; Mousafiri O.; Lepida D.; Liarmakopoulou A.; Koulouras V.; Papathanakos G.; Oikonomou M.; Ioannides P.; Papadopoulos D.; Staikos I.; Stafylaraki M.; Raitsiou B.; Mandis K.; Ravani I.; Kourelea S.; Efthimiou A.; Thoma G.; Bakas A.; Psarulis K.; Anisoglou S.; Papageorgiou E.; Michailidou E.; Tholioti T.; Lavrentieva A.; Sourla E.; Spyropoulou A.; Pantelas N.; Stalika K.M.M.; Georgakas I.; Karathanou A.; Tsikriki S.; Dimoula A.; Kanakaki S.; Vakalos A.; Pagioulas K.; Enamorado J.E.; Nardai G.; Hawchar F.; Blondal A.; Rygvadottir B.; Jonasdottir R.J.; Birgisdottir H.; Shah B.; Kaushik S.; Tripathy S.; Singh M.; Agarwal S.; Gupta M.; Ahmad M.; Mangal K.; Bhargava V.; Kushare V.; Jha S.; Bhakhtiani L.; Gupta A.; Kamal M.; Gurjar M.; Baronia A.; Kilapong B.; Susanti A.; Lestari M.I.; Zulkifli Z.; Baskoro W.; Zand F.; Zarei F.; Mahmoodpoor A.; Heidari F.; Jafaraghaee F.; O'Shea A.; O'Shea F.; O'Donnell C.; Craig G.; Fitzpatrick G.; Dunne L.; Hastings J.; Marsh B.; Cody C.; Campbell E.; Doyle D.; Pacturanan M.; 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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field

Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356

non present