Advances in Nondietary Management of Children with Atopic Dermatitis

This paper discusses recent advances in therapy of atopic dermatitis (AD), excluding those that include dietary management. Some of these therapies are anecdotal, experimental, or somewhat controversial. It is important to emphasize that physicians should not try what is new without first having given standard therapy a long and reasonable chance to succeed. This is important because AD does not last forever, and in many patients, mild disease heals spontaneously.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72467/1/j.1525-1470.1989.tb00820.x.pd

Detecting the long-distance structure of the X(3872)

We study the decay within a molecular picture for the state. This decay mode is more sensitive to the long-distance structure of the resonance than its and decays, which are mainly controlled by the details of the wave function at short distances. We show that the final state interaction can be important, and that a precise measurement of this partial decay width can provide valuable information on the interaction strength between the charm mesons

Efficient and Accurate Construction of Genetic Linkage Maps from the Minimum Spanning Tree of a Graph

Genetic linkage maps are cornerstones of a wide spectrum of biotechnology applications, including map-assisted breeding, association genetics, and map-assisted gene cloning. During the past several years, the adoption of high-throughput genotyping technologies has been paralleled by a substantial increase in the density and diversity of genetic markers. New genetic mapping algorithms are needed in order to efficiently process these large datasets and accurately construct high-density genetic maps. In this paper, we introduce a novel algorithm to order markers on a genetic linkage map. Our method is based on a simple yet fundamental mathematical property that we prove under rather general assumptions. The validity of this property allows one to determine efficiently the correct order of markers by computing the minimum spanning tree of an associated graph. Our empirical studies obtained on genotyping data for three mapping populations of barley (Hordeum vulgare), as well as extensive simulations on synthetic data, show that our algorithm consistently outperforms the best available methods in the literature, particularly when the input data are noisy or incomplete. The software implementing our algorithm is available in the public domain as a web tool under the name MSTmap

Natural variation in life history and aging phenotypes is associated with mitochondrial DNA deletion frequency in Caenorhabditis briggsae

<p>Abstract</p> <p>Background</p> <p>Mutations that impair mitochondrial functioning are associated with a variety of metabolic and age-related disorders. A barrier to rigorous tests of the role of mitochondrial dysfunction in aging processes has been the lack of model systems with relevant, naturally occurring mitochondrial genetic variation. Toward the goal of developing such a model system, we studied natural variation in life history, metabolic, and aging phenotypes as it relates to levels of a naturally-occurring heteroplasmic mitochondrial <it>ND5 </it>deletion recently discovered to segregate among wild populations of the soil nematode, <it>Caenorhabditis briggsae</it>. The normal product of <it>ND5 </it>is a central component of the mitochondrial electron transport chain and integral to cellular energy metabolism.</p> <p>Results</p> <p>We quantified significant variation among <it>C. briggsae </it>isolates for all phenotypes measured, only some of which was statistically associated with isolate-specific <it>ND5 </it>deletion frequency. We found that fecundity-related traits and pharyngeal pumping rate were strongly inversely related to <it>ND5 </it>deletion level and that <it>C. briggsae </it>isolates with high <it>ND5 </it>deletion levels experienced a tradeoff between early fecundity and lifespan. Conversely, oxidative stress resistance was only weakly associated with <it>ND5 </it>deletion level while ATP content was unrelated to deletion level. Finally, mean levels of reactive oxygen species measured <it>in vivo </it>showed a significant non-linear relationship with <it>ND5 </it>deletion level, a pattern that may be driven by among-isolate variation in antioxidant or other compensatory mechanisms.</p> <p>Conclusions</p> <p>Our findings suggest that the <it>ND5 </it>deletion may adversely affect fitness and mitochondrial functioning while promoting aging in natural populations, and help to further establish this species as a useful model for explicit tests of hypotheses in aging biology and mitochondrial genetics.</p

Volitional exaggeration of body size through fundamental and formant frequency modulation in humans

Several mammalian species scale their voice fundamental frequency (F0) and formant frequencies in competitive and mating contexts, reducing vocal tract and laryngeal allometry thereby exaggerating apparent body size. Although humans’ rare capacity to volitionally modulate these same frequencies is thought to subserve articulated speech, the potential function of voice frequency modulation in human nonverbal communication remains largely unexplored. Here, the voices of 167 men and women from Canada, Cuba, and Poland were recorded in a baseline condition and while volitionally imitating a physically small and large body size. Modulation of F0, formant spacing (∆F), and apparent vocal tract length (VTL) were measured using Praat. Our results indicate that men and women spontaneously and systemically increased VTL and decreased F0 to imitate a large body size, and reduced VTL and increased F0 to imitate small size. These voice modulations did not differ substantially across cultures, indicating potentially universal sound-size correspondences or anatomical and biomechanical constraints on voice modulation. In each culture, men generally modulated their voices (particularly formants) more than did women. This latter finding could help to explain sexual dimorphism in F0 and formants that is currently unaccounted for by sexual dimorphism in human vocal anatomy and body size

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,

Haplotype association analyses in resources of mixed structure using Monte Carlo testing

<p>Abstract</p> <p>Background</p> <p>Genomewide association studies have resulted in a great many genomic regions that are likely to harbor disease genes. Thorough interrogation of these specific regions is the logical next step, including regional haplotype studies to identify risk haplotypes upon which the underlying critical variants lie. Pedigrees ascertained for disease can be powerful for genetic analysis due to the cases being enriched for genetic disease. Here we present a Monte Carlo based method to perform haplotype association analysis. Our method, hapMC, allows for the analysis of full-length and sub-haplotypes, including imputation of missing data, in resources of nuclear families, general pedigrees, case-control data or mixtures thereof. Both traditional association statistics and transmission/disequilibrium statistics can be performed. The method includes a phasing algorithm that can be used in large pedigrees and optional use of pseudocontrols.</p> <p>Results</p> <p>Our new phasing algorithm substantially outperformed the standard expectation-maximization algorithm that is ignorant of pedigree structure, and hence is preferable for resources that include pedigree structure. Through simulation we show that our Monte Carlo procedure maintains the correct type 1 error rates for all resource types. Power comparisons suggest that transmission-disequilibrium statistics are superior for performing association in resources of only nuclear families. For mixed structure resources, however, the newly implemented pseudocontrol approach appears to be the best choice. Results also indicated the value of large high-risk pedigrees for association analysis, which, in the simulations considered, were comparable in power to case-control resources of the same sample size.</p> <p>Conclusions</p> <p>We propose hapMC as a valuable new tool to perform haplotype association analyses, particularly for resources of mixed structure. The availability of meta-association and haplotype-mining modules in our suite of Monte Carlo haplotype procedures adds further value to the approach.</p

Characterization of Structural Features Controlling the Receptiveness of Empty Class II MHC Molecules

MHC class II molecules (MHC II) play a pivotal role in the cell-surface presentation of antigens for surveillance by T cells. Antigen loading takes place inside the cell in endosomal compartments and loss of the peptide ligand rapidly leads to the formation of a non-receptive state of the MHC molecule. Non-receptiveness hinders the efficient loading of new antigens onto the empty MHC II. However, the mechanisms driving the formation of the peptide inaccessible state are not well understood. Here, a combined approach of experimental site-directed mutagenesis and computational modeling is used to reveal structural features underlying “non-receptiveness.” Molecular dynamics simulations of the human MHC II HLA-DR1 suggest a straightening of the α-helix of the β1 domain during the transition from the open to the non-receptive state. The movement is mostly confined to a hinge region conserved in all known MHC molecules. This shift causes a narrowing of the two helices flanking the binding site and results in a closure, which is further stabilized by the formation of a critical hydrogen bond between residues αQ9 and βN82. Mutagenesis experiments confirmed that replacement of either one of the two residues by alanine renders the protein highly susceptible. Notably, loading enhancement was also observed when the mutated MHC II molecules were expressed on the surface of fibroblast cells. Altogether, structural features underlying the non-receptive state of empty HLA-DR1 identified by theoretical means and experiments revealed highly conserved residues critically involved in the receptiveness of MHC II. The atomic details of rearrangements of the peptide-binding groove upon peptide loss provide insight into structure and dynamics of empty MHC II molecules and may foster rational approaches to interfere with non-receptiveness. Manipulation of peptide loading efficiency for improved peptide vaccination strategies could be one of the applications profiting from the structural knowledge provided by this study

Genetic linkage analysis in the age of whole-genome sequencing

For many years, linkage analysis was the primary tool used for the genetic mapping of Mendelian and complex traits with familial aggregation. Linkage analysis was largely supplanted by the wide adoption of genome-wide association studies (GWASs). However, with the recent increased use of whole-genome sequencing (WGS), linkage analysis is again emerging as an important and powerful analysis method for the identification of genes involved in disease aetiology, often in conjunction with WGS filtering approaches. Here, we review the principles of linkage analysis and provide practical guidelines for carrying out linkage studies using WGS data