Health literacy in the school setting

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Composição corporal e percepção de autoimagem em universitárias

Introduction: Body image is the way we perceive the body. To recognize it is to clearly state its existence and, from this perception, to see the body's capacity to be changeable, that is, it can be changed at any moment. Objective: Classify the level of distortion of body self-image of university students of the physical education course of a public university of Pauí (UFPI) and verify its relation with anthropometric parameters, since it is believed that these students tend to present a greater concern with their appearance. Methodology: Study is descriptive and quantitative having a sample of 105 students, enrolled between the year of 2011 and 2015 and representing 75% of the total student population, were selected to participate of this descriptive-quantitative study. The self-image distortion was evaluated through the Body Shape Questionnaire (BSQ) and a body control scale was used for the analysis of body weight, composition and metabolism. Results: The students were 21.5±1.8 years old, 58.3±2.0kg weight and 160.6±2.1cm height. Regarding the anthropometric evaluation, students presented body mass index of 22.4±0.6; waist circumference of 70.6±0.8cm and waist/hip ratio of 0.73±0.01cm - values considered normal for adult women. The value obtained from the QSB, 84.2±9.6 points, indicates a slight distortion in the self-body perception. This distortion is present in 53% of the total participants. In conclusion these findings are worrisome because they are a group of future professionals that will work on and promote health and body practices.Introdução: A imagem corporal é a forma como percebemos o corpo. Reconhecê-la é afirmar com clareza sua existência e, a partir dessa percepção, ver a capacidade do corpo ser mutável, ou seja, ele pode a cada momento ser alterado. Objetivo: Classificar o nível de distorção da autoimagem corporal de universitárias do curso de Educação Física de uma universidade pública do Piauí e verificar a relação com os parâmetros antropométricos, pois se acredita que essas estudantes tendem a apresentar uma preocupação maior com a aparência. Metodologia: Estudo é de carácter descritivo e quantitativo, tendo uma amostra de 105 universitárias com ingresso entre 2011 a 2015, as quais representam 75% do total da população. Para avaliar a distorção da autoimagem foi utilizado o questionário Body Shape Questionnaire (BSQ), e para a análise de peso, composição e metabolismo corporal, uma balança de controle corporal (Omron, modelo HBF-514C). Resultados: As estudantes apresentaram idade de 21,5±1,8 anos, peso 58,3±2,0 kg, estatura 160,6±2,1cm, Ãndice de Massa Corporal 22,4±0,6kg/m2; Circunferência da Cintura 70,6±0,8cm e Relação da Cintura/Quadril 0,73±0,01cm, sendo todos esses valores normais para mulheres adultas. Em relação à autoimagem corporal foi encontrado o valor de 84,2±9,6 pontos, que indica uma leve distorção. Essa alteração esteve presente em 53% das participantes. Conclusão: Desta forma, esses achados revelam-se preocupantes pelo fato de se tratar de um grupo de futuros profissionais, multiplicadores de conceitos, da área de saúde e orientadores de práticas corporais

Alternative Oxidase Mediates Pathogen Resistance in Paracoccidioides brasiliensis Infection

Thermally dimorphic pathogenic fungi are responsible for potentially life-threatening diseases of immunocompetent and immunocompromised individuals. These microorganisms grow as conidia-producing mycelia in the environment, which when inhaled by the host convert to the pathogenic yeast form at 37°C. During adaptation and growth, fungi interact with host immune cells and must cope with defense mechanisms such as imposed-oxidative stress (e.g., reactive oxygen species; ROS). Alternative oxidase (AOX) is an enzyme recently implicated in the reduction of ROS production by the mitochondria when triggered by external stimuli, such as temperature and ROS. During this work we have evaluated the relevance of AOX during infection with Paracoccidioides brasiliensis, the etiological agent of one of the most prevalent mycoses in Latin America, paracoccidioidomycosis. We show that PbAOX gene expression is stimulated after interaction with alveolar macrophages or in the presence of H2O2 and is essential for survival against fungicidal activity of both the immune cells and the ROS compound. Moreover, decreasing PbAOX gene expression in P. brasiliensis led to increased survival of infected mice. Altogether, our data supports a relevant role for AOX in the virulence of P. brasiliensis

The burden of mental disorders, substance use disorders and self-harm among young people in Europe, 1990–2019: Findings from the Global Burden of Disease Study 2019

BACKGROUND: Mental health is a public health issue for European young people, with great heterogeneity in resource allocation. Representative population-based studies are needed. The Global Burden of Disease (GBD) Study 2019 provides internationally comparable information on trends in the health status of populations and changes in the leading causes of disease burden over time. METHODS: Prevalence, incidence, Years Lived with Disability (YLDs) and Years of Life Lost (YLLs) from mental disorders (MDs), substance use disorders (SUDs) and self-harm were estimated for young people aged 10-24 years in 31 European countries. Rates per 100,000 population, percentage changes in 1990-2019, 95% Uncertainty Intervals (UIs), and correlations with Sociodemographic Index (SDI), were estimated. FINDINGS: In 2019, rates per 100,000 population were 16,983 (95% UI 12,823 – 21,630) for MDs, 3,891 (3,020 - 4,905) for SUDs, and 89·1 (63·8 - 123·1) for self-harm. In terms of disability, anxiety contributed to 647·3 (432–912·3) YLDs, while in terms of premature death, self-harm contributed to 319·6 (248·9–412·8) YLLs, per 100,000 population. Over the 30 years studied, YLDs increased in eating disorders (14·9%;9·4-20·1) and drug use disorders (16·9%;8·9-26·3), and decreased in idiopathic developmental intellectual disability (–29·1%;23·8-38·5). YLLs decreased in self-harm (–27·9%;38·3-18·7). Variations were found by sex, age-group and country. The burden of SUDs and self-harm was higher in countries with lower SDI, MDs were associated with SUDs. INTERPRETATION: Mental health conditions represent an important burden among young people living in Europe. National policies should strengthen mental health, with a specific focus on young people. FUNDING: The Bill and Melinda Gates Foundatio

Enzymatic Glucose Based Bio batteries: Bioenergy to Fuel Next Generation Devices

[EN] This article consists of a review of the main concepts and paradigms established in the field of biological fuel cells or biofuel cells. The aim is to provide an overview of the current panorama, basic concepts, and methodologies used in the field of enzymatic biofuel cells, as well as the applications of these bio-systems in flexible electronics and implantable or portable devices. Finally, the challenges needing to be addressed in the development of biofuel cells capable of supplying power to small size devices with applications in areas related to health and well-being or next-generation portable devices are analyzed. The aim of this study is to contribute to biofuel cell technology development; this is a multidisciplinary topic about which review articles related to different scientific areas, from Materials Science to technology applications, can be found. With this article, the authors intend to reach a wide readership in order to spread biofuel cell technology for different scientific profiles and boost new contributions and developments to overcome future challenges.Financial support from the Spanish Ministry of Science, Innovation and University, through the State Program for Talent and Employability Promotion 2013-2016 by means of Torres Quevedo research contract in the framework of Bio2 project (PTQ-14-07145) and from the Instituto Valenciano de Competitividad Empresarial-IVACE-GVA (BioSensCell project)Buaki-Sogo, M.; García-Carmona, L.; Gil Agustí, MT.; Zubizarreta Saenz De Zaitegui, L.; García Pellicer, M.; Quijano-Lopez, A. (2020). Enzymatic Glucose Based Bio batteries: Bioenergy to Fuel Next Generation Devices. Topics in Current Chemistry (Online). 378(6):1-28. https://doi.org/10.1007/s41061-020-00312-8S1283786Schlögl R (2015) The revolution continues: Energiewende 2.0. Angew Chem Int Ed 54:4436–4439Mitcheson PD, Yeatman EM, Rao GK, Holmes AS, Green TC (2008) Energy harvesting from human and machine motion for wireless electronic devices. Proc IEEE 96(9):1457–1486Wang ZL, Wu W (2012) Nanotechnology-enabled energy harvesting for self-powered micro-/nanosystems. Angew Chem Int Ed 51:11700-11721Lamy C, Lima A, LeRhun V, Delime F, Coutanceau C, Léger J-M (2002) Recent advances in the development of direct alcohol fuel cells (DAFC). J Power Sources 105:283Cheng X, Shi Z, Glass N, Zhang L, Zhang J, Song D, Liu Z-S, Wang H, Shen J (2007) A review of PEM hydrogen fuel cell contamination: impacts, mechanisms, and mitigation. J Power Sources 165:739Boudghere Stambouli A, Traversa E (2002) Solid oxide fuel cells (SOFC): a review of an environmentally clean and efficient source of energy. Renew Sustain Energy Rev 6:433–455Qiao Y, Li CM (2011) Nanostructured catalyst in fuel cells. J Mater Chem 21:4027–4036Edwards PP, Kuznetsov VL, David WIF, Brandon NP (2008) Hydrogen and fuel cells: towards sustainable energy future. Energy Policy 36:4356–4362Kirubakaran A, Jain S, Nema RK (2009) A review on fuel cell technologies and power electronic interface. Renew Sustain Energy 13:2430–2440Kerzenmacher S, Ducree J, Zengerle R, von Stetten F (2008) An abiotically catalyzed glucose fuel cell for powering medical implants: reconstructed manufacturing protocol and analysis of performance. J Power Sources 182:66–75Drake RF, Kusserow BK, Messinger S, Matsuda S (1970) A tissue implantable fuel cell power supply. Trans Am Soc Artif Intern Organs 16:199–205Giner J, Holleck G, Malachesky PA (1973) Eine implantierbare Brennstoffzelle zum Betrieb eines mechanischen Herzens. Phys Chem 77:782–783. https://doi.org/10.1002/bbpc.19730771009Cosnier S, LeGoff A, Holzinger M (2014) Towards glucose biofuel cells implanted in human body for powering artificial organs: review. Electrochem Commun 38:19–23Katz E (2015) Implantable biofuel cells operating in vivo—potential power sources for bioelectronic devices. Bioelectron Med 2:1–12Bullen RA, Arnot TC, Lakeman JB, Walsh FC (2006a) Biofuel cells and their development . Biosens Bioelectron 21:2015–2045Cooney MJ, Svoboda V, Lau C, Martin G, Minteer SD (2008) Enzyme catalysed biofuel cells. Energy Environ Sci 1:320–337Cracknell JA, Vincent KA, Armstrong FA (2008) Enzymes as working or inspirational electrocatalysts for fuel cells and electrolysis. Chem Rev 108:2439–2461Sheldon RA (2007) Enzyme immobilization: the quest for optimum performance. Adv Synth Catal 349:1289–1307Bullen RA, Arnot TC, Lakeman JB, Walsh FC (2006b) Biofuel cells and their development. Biosens Bioelectron 21:2015–2045Koch C, Popiel D, Harnisch F (2014) Functional redundancy of microbial anodes fed by domestic wastewater. ChemElectroChem 1:1923–1931Mano N, Mao F, Heller A (2003) Characteristics of a miniature compartment-less glucose−O2 biofuel cell and its operation in a living plant. J Am Chem Soc 125(21):6588–6594Mano N, Mao F, Heller A (2002) A miniature biofuel cell operating in a physiological buffer. J Am Chem Soc 124(44):12962–12963Bruen D, Delaney C, Florea L, Diamond D (2017) Glucose sensing for diabetes monitoring: recent developments. Sensors 17:1866Falk M, Blum Z, Shleev S (2012) Direct electron transfer based enzymatic fuel cells. Electrochim Acta 82:191–202White HB (1976) Coenzymes as fossils of an earlier metabolic state. J Mol Evol 7:101–104Broderick JB (2001) Coenzymes and cofactors. In: eLS. Wiley, Chichester. https://www.els.net. https://doi.org/10.1038/npg.els.0000631Sakurai T, Kataoka K (2007) Basic and applied features of multicopper oxidases, CueO, bilirubin oxidase, and laccase. Chem Rec 7:220–229Bankar SB, Bule MV, Singhal RS, Ananthanarayan L (2009) Glucose oxidase—an overview. Biotech Adv 27:489–501Ferri S, Kojima K, Sode K (2011) Review of glucose oxidases and glucose dehydrogenases: a bird’s eye view of glucose sensing enzymes. J Diabetes Sci Technol 5:1068–1076Katz E, MacVittie K (2013) Implanted biofuel cells operating in vivo—methods, applications and perspectives—feature article. Energy Environ Sci 6:2791–2803Ghindilis AL, Atanasov P, Wilkins E (1997) Enzyme catalysed direct electron transfer: fundamentals and analytical applications. Electroanalysis 9:661–674Von Woedtke Th, Fisher U, Abel P (1994) Glucose oxidase electrodes: effect of H2O2 on enzyme activity? Biosens Bioelectron 9:65–71Kleppe K (1966) The effect of H2O2 on glucose oxidase from Aspergillus niger. Biochemistry 5:139–143Zebda A, Godran C, Le Goff A, Holzinger M, Cinquin P, Cosnier S (2011) Mediatorless high-power glucose biofuel cells based on compressed carbon nanotube-enzyme electrodes. Nat Commun 2:370Borenstein A, Hanna O, Attias R, Luski S, Brousse T, Aurbach D (2017) Carbon-based composite materials for supercapacitor electrodes: a review. J Mater Chem A 5:12653–12672Angione MD, Pilolli R, Cotrone S, Magliulo M, Mallardi A, Palazzo G, Sabbatini L, Fine D, Dodabalapur A, Lioffi N, Torsi L (2011) Carbon based nanomaterials for electronic bio-sensing. Mat Today 14:424–433Cha C, Shin SR, Annabi N, Dokmeci MR, Khademhosseini A (2013) Carbon based nanomaterials: multifunctional materials for biomedical engineering. ACS Nano 7:2891–2897Wang Z, Dai Z (2015) Carbon nanomaterials-based electrochemical biosensors: an overview. Nanoscale 7:6420–6431Jariwala D, Sangwan VK, Lauhon LJ, Marks TJ, Hersam MC (2013) Carbon nanomaterials for electronics, optoelectronics, photovoltaics and sensing. Chem Soc Rev 42:2824–2860Babadi AA, Bagheri S, Abdul Hamid SB (2016) Progress on implantable biofuel cell: nano-carbon functionalization for enzyme immobilization enhancement. Biosens Bioelectron 15:850–860Osadebe I, Leech D (2014) Effect of multi-walled carbon nanotubes on glucose oxidation by glucose oxidase or a flavin-dependent glucose dehydrogenase in redox-polymer-mediated enzymatic fuel cell anodes. ChemElectroChem 1:1988–1993Si P, Huang Y, Wang T, Ma J (2013) Nanomaterials for electrochemical non-enzymatic glucose biosensors. RSC Adv 3:3487–3502Putzbach W, Ronkainen NJ (2013) Immobilization techniques in the fabrication of nanomaterial-based electrochemical biosensors: a review. Sensors 13(4):4811–4840Walcarius A, Minteer SD, Wang J, Lin Y, Merkoçi A (2013) Nanomaterials for bio-functionalized electrodes: recent trends. J Mater Chem B 1:4878–4908Datta S, Christena LR, Rajaram YRS (2013) Enzyme immobilization: an overview on techniques and support materials. 3 Biotech 3(1):1–9Ivanov I, Vidaković-Koch T, Sundmaker K (2010) Recent advances in enzymatic fuel cells; experiments and modelling. Energies 3:803–846Nguyen HH, Kim M (2017) An overview of techniques in enzyme immobilization. Appl Sci Converg Technol 26(6):157–163Fu J, Reinhold J, Woodbury NW (2011) Peptide-modified surfaces for enzyme immobilization. PLoS One 6(4):e18692Lee DH, Park CH, Yeo JM, Kim SW (2006) Lipase immobilization on silica gel using a cross-linking method. J Ind Eng Chem 12(5):777–782Szymańska K, Bryjak J, Jarzębski AB (2009) Immobilization of invertase on mesoporous silicas to obtain hyper active biocatalysts. Top Catal 52:1030–1036Al-Lolage F, Meneghello M, Ma S, Ludwig R, Barlett PN (2017) A flexible method for the stable, covalent immobilization of enzymes at electrode surfaces. ChemElectroChem 4:1528–1534Gutierrez-Sanchez C, Shleev S, De Lacey AL, Pita M (2015) Third-generation oxygen amperometric biosensor based on Trametes hirsuta laccase covalently bound to graphite electrode. Chem Pap 69:237–240Pita M, Gutierrez-Sanchez C, Toscano MD, Shleev S, De Lacey AL (2013) Oxygen biosensor based on bilirubin oxidase immobilized on a nanostructured gold electrode. Bioelectrochemistry 94:69–74Vaz-Dominguez C, Campuzano S, Rüdiger O, Pita M, Gorbacheva M, Shleev S, Fernandez VM, de Lacey LA (2008) Laccase electrode for direct electrocatalytic reduction of O2 to H2O with high-operational stability and resistance to chloride inhibition. Biosens Bioelectron 24(4):531–537Gutiérrez-Sánchez C, Jia W, Beyl Y, Pita M, Schuhmann W, de Lacey LA, Stoica L (2012) Enhanced direct electron transfer between laccase and hierarchical carbon microfibers/carbon nanotubes composite electrodes. Comparison of three enzyme immobilization methods. Electrochim Acta 82:218–223Lv Y, Jin S, Wang Y, Lun Z, Xia C (2016) Recent advances in the application of nanomaterials in enzymatic glucose sensors. J Iran Chem Soc 13(10):1767–1776Zhao C, Gai P, Song R, Chen Y, Zhang J, Zhu J-J (2017) Nanostructured material-based biofuel cells: recent advances and future prospects. Chem Soc Rev 46:1545–1564Yu EH, Scott K (2010) Enzymatic biofuel cells—fabrication of enzyme electrodes. Energies 3:23–42Minteer SD, Atanassov P, Luckarift HR, Johnson GR (2013) New materials for biological fuel cells. Mater Today 15(4):166–173Sarma AK, Vatsyayan P, Goswami P, Minteer SD (2009) Recent advances in material science for developing enzyme electrodes. Biosens Bioelectron 24:2313–2322Jesionowski T, Zdarta J, Krajewska B (2014) Enzyme immobilization by adsorption: a review. Adsorption 20:801–821Sardar M, Gupta MN (2005) Immobilization of tomato pectinase on Con A-Seralose 4B by bioaffinity layering. Enzyme Microbial Technol 37:355–359Sheldon RA (2011) Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs). Appl Microbiol Biotechnol 92:467–477Velasco-Lozano S, López-Gallego F, Mateos-Díaz JC, Favela-Torres E (2015) Cross-linked enzyme aggregates (CLEA) in enzyme improvement—a review. Biocatalysis 1:166–177Cosnier S (1999) Biomolecule immobilization on electrode surfaces by entrapment or attachment to electrochemically polymerized films. A review. Biosen Bioelectron 14:443–456Heller A (1990) Electrical wiring of redox enzymes. Acc Chem Res 29:128–134Heller A (1992) Electrical connection of enzyme redox centres to electrodes. J Phys Chem 96:3579–3587Martins MVA, Pereira AR, Luz RAS, Iost RM, Crespilho FN (2014) Evidence of short-range electron transfer of a redox enzyme on graphene oxide electrodes. Phys Chem Chem Phys 16:17426–17436Luz RAS, Pereira AR, de Souza JCP, Sales FCPF, Crespilho FN (2014) Enzyme biofuel cells: thermodynamics. Kinetics and challenges in applicability. ChemElectroChem 1(11):1751–1777Neto SA, De Andrade AR (2013) New energy sources: the enzymatic biofuel cell. J Braz Chem Soc 24(12):1891–1912Rapoport BI, Kedzierski JT, Sarpeshkar R (2012) A glucose fuel cell for implantable brain–machine interfaces. PLoS One 7(6):6 e38436Zebda A, Alcaraz J-P, Vadgama P, Shleev S, Minteer SD, Boucher F, Cinquin P, Martin DK (2018) Challenges for successful implantation of biofuel cells. Bioelectrochemistry 124:57–72Ferraris RP, Diamond J (1997) Regulation of intestinal sugar transport. Physiol Rev 77:257–301Sprague JE, Arbeláez AM (2011) Glucose counterregulatory responses to hypoglicemia. Pediatr Endocrinol Rev 9:463–475Slaughter G, Kulkarni T (2019) Detection of human plasma glucose using a self-powered glucose biosensor. Energies 12:825Rathee K, Dhull V, Dhull R, Singh S (2016) Biosensors based on electrochemical lactate detection: a comprehensive review. Biochem Biophys Rep 5:35–54Koushanpour A, Gamella M, Katz E (2017) A biofuel cell based on biocatalytic reactions of lactate on both anode and cathode electrodes—extracting electrical power from human sweat. Electroanalysis 29:1602–1611Yao Y, Li H, Wang D, Liu C, Zhang C (2017) An electrochemiluminescence cloth-based biosensor with smartphone-based imaging for detection of lactate in saliva. Analyst 142:3715–3724Pankratov D, González-Arribas E, Blum Z, Shleev S (2016) Tear based bioelectronics. Electroanalysis 28:1250–1266Krogstad AL, Jansson PA, Gisslen P, Lönnroth P (1996) Microdialysis methodology for the measurement of dermal interstitial fluid in humans. Br J Dermatol 134(6):1005–1012Bandodkar AJ, Wang J (2016) Wearable biofuel cells: a review. Electroanalysis 28:1188–1200Jia W, Valdés-Ramírez G, Bandodkar AJ, Windmiller JR, Wang J (2013) Epidermal biofuel cells: energy harvesting from human perspiration. Angew Chem Int Ed 52:1–5Jeerapan I, Sempionatto JR, Pavinatto A, You J-M, Wang J (2016) Stretchable biofuel cells as wearable textile-based self-powered sensors. J Mater Chem A 4:18342–18353Valdés-Ramírez G, Li Y-G, Kima J, Jia W, Bandodkar AJ, Nuñez-Flores R, Miller PR, Wu S-Y, Narayan R, Windmiller JR, Polsky R, Wang J (2016) Microneedle-based self-powered glucose sensor. Electrochem Commun 47:58–62Gamella M, Koushanpour A, Katz E (2018) Biofuel cells—activation of micro- and macro- electronic devices. Bioelectrochemistry 119:33–42Mano N, Mao F, Shin W, Chen T, Heller A (2003) A miniature biofuel cell operating at 0.78 V. Chem Commun 20:518–519Shi B, Li Z, Fan Y (2018) Implantable energy harvesting devices. Adv Mater 30:1801511MacVittie K, Halámek J, Halámková L, Southcott M, Jemison WD, Lobel R, Katz E (2013) From “cyborg” lobsters to a pacemaker powered by implantable biofuel cells. Energy Environ Sci 6:81–86Szczupak A, Halámek J, Halámková L, Bocharova V, Alfonta L, Katz E (2012) Living battery—biofuel cells operating in vivo in clams. Energy Environ Sci 5:8891–8895Southcott M, MacVittie K, Halámek J, Halámková L, Jemison WD, Lobel R, Katz E (2013) A pacemaker powered by an implantable biofuel cell operating under conditions mimicking the human blood circulatory system—battery not included. Phys Chem Chem Phys 15:6278–6283MacVittie K, Conlon T, Katz E (2015) A wireless transmission system powered by an enzyme biofuel cell implanted in an orange. Bioelectrochemistry 106:28–33Aghahosseini H, Ramazani A, Asiabi PA, Gouranlou F, Hosseini F, Rezaei A, Min B-K, Joo SW (2016) Glucose-based biofuel cells: nanotechnology as a vital science in biofuel cell performance. Nanochem Res 1(2):83–204Zebda A, Cosnier S, Alcaraz J-P, Holzinger M, Le Goff A, Gondran C, Boucher F, Giroud F, Gorgy K, Lamraoui H, Cinquin P (2013) Single glucose biofuel cells implanted in rats power electronic devices. Sci Rep 2013:1516Ichi-Ribault SE, Alcaraz J-P, Boucher F, Boutaud B, Dalmolin R, Boutonnat J, Cinquin P, Zebda A, Martin DK (2018) Remote wireless control of an enzymatic biofuel cell implanted in a rabbit for 2 months. Electrochim Acta 269:360–366Bandodkar A (2017) Review—wearable biofuel cells: past, present and future. J Electrochem Soc 164(3):H3007–H3014Coman V, Ludwig R, Harreither W, Haltrich D, Gorton L, Ruzgas T, Shleev S (2010) A direct electron transfer-based glucose/oxygen biofuel cell operating in human serum. Fuel Cells 10(1):9–16Shoji K, Akiyama Y, Suzuki M, Nakamura N, Ohno H, Morishima K (2016) Biofuel cell backpacked insect and its application to wireless sensing. Biosens Bioelectron 78:390–395Reuillard B, Abreu C, Lalaoui N, Le Goff A, Holzinger M, Ondel O, Buret F, Cosnier S (2015) One-year stability for a glucose/oxygen biofuel cell combined with pH reactivation of the laccase/carbon nanotube biocathode. Bioelectrochemistry 106:73–76Sales FCPF, Iost RM, Martins MVA, Almeida MC, Crespilho FN (2013) An intravenous implantable glucose/dioxygen biofuel cell with modified flexible carbon fiber electrodes. Lab Chip 13:468Falk M, Narvez Villarrubia CW, Babanova S, Atanassov P, Shleev S (2013) Biofuel cells for biomedical applications: colonizing the animal kingdom. ChemPhysChem 14:2045–2058Rasmussen M, Ritzmann RE, Lee I, Pollack AJ, Scherson D (2012) An implantable biofuel cell for a live insect. J Am Chem Soc 134(3):1458–1460Halámková L, Halámek J, Bocharova V, Szczupak A, Alfonta L, Katz E (2012) Implanted biofuel cell operating in a living snail. J Am Chem Soc 134:5040–5043Cinquin P, Gondran C, Giroud F, Mazabrard S, Pellisier A, Boucher F, Alcaraz J-P, Gorgy K, Lenouvel F, Mathé S, Porcu P, Cosnier S (2010) A glucose biofuel cell implanted in rats. Plos One 5(5):e010476Chen C, Xie Q, Yang D, Xiao H, Fu Y, Tan S, Yao S (2013) Recent advances in electrochemical glucose biosensors: a review. RSC Adv 3:4473–4491Andoralov V, Falk M, Suyatin DB, Granmo M, Sotres J, Ludwig R, Popov VO, Schouenborg J, Blum Z, Shleev S (2013) Biofuel cell based on microscale nanostructured electrodes with inductive coupling to rat brain neuronsVerbeek MM, Leen WG, Willemsen MA, Slats D, Claassen JA (2016) Hourly analysis of cerebrospinal fluid glucose shows large diurnal fluctuations. J Cereb Blood F Met 36(5):899–902González-Guerrero MJ, Del Campo FJ, Esquivel JP, Leech D, Sabaté N (2017) Paper-based microfluidic biofuel cell operating under glucose concentrations within physiological range. Biosens Bioelectron 90:475–480Takeuchi ES, Leising RA (2002) Lithium batteries for biomedical applications. MRS Bull 27(8):624–627Bock DC, Marschilok A, Takeuchi KJ, Takeuchi ES (2012) Batteries used to power implantable biomedical devices. Electrochim Acta 84:155–164Greatbatch W, Lee JH, Mathias W, Eldridge M, Moser JR, Schneider AA (1971) The solid-state lithium battery: a new improved chemical power source for implantable cardiac pacemaker. IEEE Trans Biomed Eng 18(5):317–324Liu Y, Dong S (2007) A biofuel cell with enhanced power output by grape juice. Electrochem Commun 9(7):1423–1427Choi S, Lee H, Ghaffari R, Hyeon T, Kim D-H (2016) Recent advances in flexible and stretchable bio-electronic devices integrated with nanomaterials. Adv Mater 28:4203–4218Zhou L, Mao J, Ren Y, Han ST, Roy VAL, Zhou Y (2018) Recent advances of flexible data storage devices based on organic nanoscale materials. Small 14(10):1703126Gwon H, Kim H-S, Lee KU, Seo D-H, Park YC, Lee Y-S, Ahn BT, Kong K (2011) Flexible energy storage devices based on graphene paper. Energy Environ Sci 4:1277–1283Pang C, Lee C, Suh K-Y (2013) Recent advances in flexible sensors for wearable and implantable devices. J Appl Pol Sci 130:1429–1441Bandodkar AJ, Wang J (2014) Non-invasive wearable electrochemical sensors: a review. Trends Biotech 32(7):363–371Bandodkar AJ, Uia W, Wang J (2015) Tatto-based wearable electrochemical devices: a review. Electroanalysis 27(3):562–572Reid RC, Minteer SD, Gale BK (2015) Contact lens biofuel cell tested in a synthetic tear solution. Biosens Bioelectron 68:142Falk M, Andoralov V, Blum Z, Sotres J, Suyatin DM, Ruzgas T, Arnebrant T, Shleev S (2012) Biofuel cells as a power source for electronic contact lenses. Biosens Bioelectron 37(1):38–45Falk M, Andoralov V, Silow M, Toscano MD, Shleev S (2013) Miniature biofuel cell as a potential power source for Glucose-sensing contact lenses. Anal Chem 85(13):6342–6348Reid R, Jones SR, Hickey DP, Minteer SD, Gale BK (2016) Modeling carbon nanotubes connectivity and surface activity in a contact lens biofuel cell. Electrochim Acta 203:30–40Blum Z, Pankratov D, Shleev S (2014) Powering electronic contact lenses: current achievements, challenges and perspective. Expert Rev Ophthalmol 9(4):269–273Xiao X, Siepenkoetter T, Conghaile PÓ, Leech D, Magner E (2018) Nanoporous gold-based biofuel cell on contact lenses. ACS Appl Mater Interfaces 10(8):7107–7116Yang X-Y, Tian G, Jiang N, Su B-L (2012) Immobilization technology: a sustainable solution for biofuel cell design. Ener Environ Sci 5:5540–5563Mano N (2019) Engineering glucose oxidase for bioelectrochemical applications. Bioelectrochemistry 128:218–240Mate DM, Gonzalez-Perez D, Falk M, Kittl R, Pita M, De Lacey LA, Ludwig R, Shleev S, Alcalde M (2013) Blood tolerant caccase by directed evolution. Chem Biol 20:223–231Zhang L, Carucci C, Reculusa S, Goudeau B, Lefrançois P, Gounel S, Mano N, Kuhn A (2019) Rational design of enzyme-modified electrodes for optimized bioelectrocatalytic activity. ChemElectroChem 6(19):4980–4984Arechederra MN, Addo PK, Minteer SD (2011) Poly(neutral red) as a NAD+ reduction catalyst and a NADH oxidation catalyst: towards the development of a rechargeable biobattery. Electrochim Acta 56:1585Yang Y, Wang ZL (2015) Hybrid energy cells for simultaneously harvesting multi-types of energies. NanoEnergy 14:245–256Hansen BJ, Liu Y, Yang R, Wang ZL (2010) Hybrid nanogenerator for concurrently harvesting biomechanical and biochemical energy. ACS Nano 4:3647Song K, Han JH,

Measuring routine childhood vaccination coverage in 204 countries and territories, 1980-2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1

Background: Measuring routine childhood vaccination is crucial to inform global vaccine policies and programme implementation, and to track progress towards targets set by the Global Vaccine Action Plan (GVAP) and Immunization Agenda 2030. Robust estimates of routine vaccine coverage are needed to identify past successes and persistent vulnerabilities. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020, Release 1, we did a systematic analysis of global, regional, and national vaccine coverage trends using a statistical framework, by vaccine and over time. // Methods: For this analysis we collated 55 326 country-specific, cohort-specific, year-specific, vaccine-specific, and dose-specific observations of routine childhood vaccination coverage between 1980 and 2019. Using spatiotemporal Gaussian process regression, we produced location-specific and year-specific estimates of 11 routine childhood vaccine coverage indicators for 204 countries and territories from 1980 to 2019, adjusting for biases in country-reported data and reflecting reported stockouts and supply disruptions. We analysed global and regional trends in coverage and numbers of zero-dose children (defined as those who never received a diphtheria-tetanus-pertussis [DTP] vaccine dose), progress towards GVAP targets, and the relationship between vaccine coverage and sociodemographic development. // Findings: By 2019, global coverage of third-dose DTP (DTP3; 81·6% [95% uncertainty interval 80·4–82·7]) more than doubled from levels estimated in 1980 (39·9% [37·5–42·1]), as did global coverage of the first-dose measles-containing vaccine (MCV1; from 38·5% [35·4–41·3] in 1980 to 83·6% [82·3–84·8] in 2019). Third-dose polio vaccine (Pol3) coverage also increased, from 42·6% (41·4–44·1) in 1980 to 79·8% (78·4–81·1) in 2019, and global coverage of newer vaccines increased rapidly between 2000 and 2019. The global number of zero-dose children fell by nearly 75% between 1980 and 2019, from 56·8 million (52·6–60·9) to 14·5 million (13·4–15·9). However, over the past decade, global vaccine coverage broadly plateaued; 94 countries and territories recorded decreasing DTP3 coverage since 2010. Only 11 countries and territories were estimated to have reached the national GVAP target of at least 90% coverage for all assessed vaccines in 2019. // Interpretation: After achieving large gains in childhood vaccine coverage worldwide, in much of the world this progress was stalled or reversed from 2010 to 2019. These findings underscore the importance of revisiting routine immunisation strategies and programmatic approaches, recentring service delivery around equity and underserved populations. Strengthening vaccine data and monitoring systems is crucial to these pursuits, now and through to 2030, to ensure that all children have access to, and can benefit from, lifesaving vaccines

Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000–2018

Exclusive breastfeeding (EBF)-giving infants only breast-milk for the first 6 months of life-is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization's Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030.This work was primarily supported by grant no. OPP1132415 from the Bill & Melinda Gates Foundation. Co-authors used by the Bill & Melinda Gates Foundation (E.G.P. and R.R.3) provided feedback on initial maps and drafts of this manuscript. L.G.A. has received support from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brasil (CAPES), Código de Financiamento 001 and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (grant nos. 404710/2018-2 and 310797/2019-5). O.O.Adetokunboh acknowledges the National Research Foundation, Department of Science and Innovation and South African Centre for Epidemiological Modelling and Analysis. M.Ausloos, A.Pana and C.H. are partially supported by a grant from the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project no. PN-III-P4-ID-PCCF-2016-0084. P.C.B. would like to acknowledge the support of F. Alam and A. Hussain. T.W.B. was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. K.Deribe is supported by the Wellcome Trust (grant no. 201900/Z/16/Z) as part of his international intermediate fellowship. C.H. and A.Pana are partially supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project no. PN-III-P2-2.1-SOL-2020-2-0351. B.Hwang is partially supported by China Medical University (CMU109-MF-63), Taichung, Taiwan. M.Khan acknowledges Jatiya Kabi Kazi Nazrul Islam University for their support. A.M.K. acknowledges the other collaborators and the corresponding author. Y.K. was supported by the Research Management Centre, Xiamen University Malaysia (grant no. XMUMRF/2020-C6/ITM/0004). K.Krishan is supported by a DST PURSE grant and UGC Centre of Advanced Study (CAS II) awarded to the Department of Anthropology, Panjab University, Chandigarh, India. M.Kumar would like to acknowledge FIC/NIH K43 TW010716-03. I.L. is a member of the Sistema Nacional de Investigación (SNI), which is supported by the Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT), Panamá. M.L. was supported by China Medical University, Taiwan (CMU109-N-22 and CMU109-MF-118). W.M. is currently a programme analyst in Population and Development at the United Nations Population Fund (UNFPA) Country Office in Peru, which does not necessarily endorses this study. D.E.N. acknowledges Cochrane South Africa, South African Medical Research Council. G.C.P. is supported by an NHMRC research fellowship. P.Rathi acknowledges support from Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India. Ramu Rawat acknowledges the support of the GBD Secretariat for supporting the reviewing and collaboration of this paper. B.R. acknowledges support from Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal. A.Ribeiro was supported by National Funds through FCT, under the programme of ‘Stimulus of Scientific Employment—Individual Support’ within the contract no. info:eu-repo/grantAgreement/FCT/CEEC IND 2018/CEECIND/02386/2018/CP1538/CT0001/PT. S.Sajadi acknowledges colleagues at Global Burden of Diseases and Local Burden of Disease. A.M.S. acknowledges the support from the Egyptian Fulbright Mission Program. F.S. was supported by the Shenzhen Science and Technology Program (grant no. KQTD20190929172835662). A.Sheikh is supported by Health Data Research UK. B.K.S. acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for all the academic support. B.U. acknowledges support from Manipal Academy of Higher Education, Manipal. C.S.W. is supported by the South African Medical Research Council. Y.Z. was supported by Science and Technology Research Project of Hubei Provincial Department of Education (grant no. Q20201104) and Outstanding Young and Middle-aged Technology Innovation Team Project of Hubei Provincial Department of Education (grant no. T2020003). The funders of the study had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication. All maps presented in this study are generated by the authors and no permissions are required to publish them

Measurement of ϒ production in pp collisions at √s = 2.76 TeV

The production of ϒ(1S), ϒ(2S) and ϒ(3S) mesons decaying into the dimuon final state is studied with the LHCb detector using a data sample corresponding to an integrated luminosity of 3.3 pb−1 collected in proton–proton collisions at a centre-of-mass energy of √s = 2.76 TeV. The differential production cross-sections times dimuon branching fractions are measured as functions of the ϒ transverse momentum and rapidity, over the ranges pT < 15 GeV/c and 2.0 < y < 4.5. The total cross-sections in this kinematic region, assuming unpolarised production, are measured to be σ (pp → ϒ(1S)X) × B ϒ(1S)→μ+μ− = 1.111 ± 0.043 ± 0.044 nb, σ (pp → ϒ(2S)X) × B ϒ(2S)→μ+μ− = 0.264 ± 0.023 ± 0.011 nb, σ (pp → ϒ(3S)X) × B ϒ(3S)→μ+μ− = 0.159 ± 0.020 ± 0.007 nb, where the first uncertainty is statistical and the second systematic