0000000000153336

AUTHOR

Qing Lu

showing 7 related works from this author

Genetic association study of childhood aggression across raters, instruments, and age

2021

AbstractChildhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association meta-analysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31% (SE = 0.0038). We found no genome-wide significant SNPs for AGGoverall. The gene-based analysis returned three sign…

0301 basic medicineDISORDER/45/43Genome-wide association study3124 Neurology and psychiatry0302 clinical medicineChildPsychiatry0303 health sciences:trastornos mentales [PSIQUIATRÍA Y PSICOLOGÍA]HERITABILITYMental DisordersCognitionGenomicsExplained variationJustice and Strong InstitutionsAggressionPsychiatry and Mental healthMeta-analysisADOLESCENCEChild Preschool:conducta y mecanismos de la conducta::conducta::síntomas conductuales::agresión [PSIQUIATRÍA Y PSICOLOGÍA]/631/208/212/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleBiological psychiatrymedicine.symptomLife Sciences & Biomedicine:Investigative Techniques::Genetic Techniques::Genetic Association Studies [ANALYTICAL DIAGNOSTIC AND THERAPEUTIC TECHNIQUES AND EQUIPMENT]BEHAVIORRC321-571Childhood aggressionClinical psychologySDG 16 - PeaceAdolescent:Mental Disorders [PSYCHIATRY AND PSYCHOLOGY]Neurosciences. Biological psychiatry. NeuropsychiatrySingle-nucleotide polymorphismBiology3121 Internal medicineMalalties mentals - Aspectes genèticsGenetic correlationArticle1117 Public Health and Health ServicesCellular and Molecular Neuroscience03 medical and health sciences/631/477/2811SDG 3 - Good Health and Well-beingHuman behaviourmedicineSNPHumansGENOME-WIDE ASSOCIATIONBiological PsychiatryGenetic Association Studies030304 developmental biologyGenetic associationRetrospective Studies:técnicas de investigación::técnicas genéticas::estudios de asociación genética [TÉCNICAS Y EQUIPOS ANALÍTICOS DIAGNÓSTICOS Y TERAPÉUTICOS]Science & TechnologyAggressionSDG 16 - Peace Justice and Strong InstitutionsInfant:Behavior and Behavior Mechanisms::Behavior::Behavioral Symptoms::Aggression [PSYCHIATRY AND PSYCHOLOGY]1103 Clinical SciencesAgressivitat en els infantsHeritability/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutions030104 developmental biology1701 PsychologyORIGINSResearch Programm of Donders Centre for Neuroscience3111 BiomedicineTRAJECTORIES030217 neurology & neurosurgeryDemographyGenome-Wide Association Study
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New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying Delay

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/303575 Open Access The paper investigates the stability and passivity analysis problems for a class of uncertain neural networks with time-delay via delta operator approach. Both the parameter uncertainty and the generalized activation functions are considered in this paper. By constructing an appropriate Lyapunov-Krasovskii functional, some new stability and passivity conditions are obtained in terms of linear matrix inequalities (LMIs). The main characteristic of this paper is to obtain novel stability and passivity analysis criteria for uncer…

Article SubjectComputer Science::Systems and Controllcsh:MathematicsApplied MathematicsAnalysis; Applied Mathematicslcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411AnalysisAbstract and Applied Analysis
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Betulinic acid protects against cerebral ischemia–reperfusion injury in mice by reducing oxidative and nitrosative stress

2011

Increased production of reactive oxygen and nitrogen species following cerebral ischemia-reperfusion is a major cause for neuronal injury. In hypercholesterolemic apolipoprotein E knockout (ApoE-KO) mice, 2h of middle cerebral artery (MCA) occlusion followed by 22h of reperfusion led to an enhanced expression of NADPH oxidase subunits (NOX2, NOX4 and p22phox) and isoforms of nitric oxide synthase (neuronal nNOS and inducible iNOS) in the ischemic hemisphere compared with the non-ischemic contralateral hemisphere. This was associated with elevated levels of 3-nitrotyrosine, an indicator of peroxynitrite-mediated oxidative protein modification. Pre-treatment with betulinic acid (50mg/kg/day f…

MaleCancer ResearchPhysiologyClinical BiochemistryIschemiaPharmacologymedicine.disease_causeBiochemistryBrain IschemiaMicechemistry.chemical_compoundStress PhysiologicalEnosBetulinic acidmedicineAnimalsRNA MessengerBetulinic AcidMice KnockoutNADPH oxidasebiologyChemistryBrainNADPH Oxidasesbiology.organism_classificationmedicine.diseaseReactive Nitrogen SpeciesTriterpenesNitric oxide synthaseOxidative StressBiochemistryReperfusion Injurycardiovascular systembiology.proteinTyrosineP22phoxNitric Oxide SynthasePentacyclic TriterpenesReperfusion injuryOxidative stressNitric Oxide
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Resveratrol Reverses Endothelial Nitric-Oxide Synthase Uncoupling in Apolipoprotein E Knockout Mice

2010

A crucial cause of the decreased bioactivity of nitric oxide (NO) in cardiovascular diseases is the uncoupling of the endothelial NO synthase (eNOS) caused by the oxidative stress-mediated deficiency of the NOS cofactor tetrahydrobiopterin (BH(4)). The reversal of eNOS uncoupling might represent a novel therapeutic approach. The treatment of apolipoprotein E knockout (ApoE-KO) mice with resveratrol resulted in the up-regulation of superoxide dismutase (SOD) isoforms (SOD1-SOD3), glutathione peroxidase 1 (GPx1), and catalase and the down-regulation of NADPH oxidases NOX2 and NOX4 in the hearts of ApoE-KO mice. This was associated with reductions in superoxide, 3-nitrotyrosine, and malondiald…

Malemedicine.medical_specialtyNitric Oxide Synthase Type IIISOD3SOD2ResveratrolAntioxidantsSuperoxide dismutaseMicechemistry.chemical_compoundApolipoproteins ESuperoxidesEnosMalondialdehydeInternal medicineStilbenesmedicineAnimalsGTP CyclohydrolaseMice KnockoutPharmacologychemistry.chemical_classificationReactive oxygen speciesbiologyReverse Transcriptase Polymerase Chain ReactionSuperoxide DismutaseChemistrySuperoxideMyocardiumTetrahydrobiopterinbiology.organism_classificationBiopterinIsoenzymesOxidative StressEndocrinologyBiochemistryResveratrolbiology.proteinRNATyrosineMolecular Medicinemedicine.drugJournal of Pharmacology and Experimental Therapeutics
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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

2016

Seuls les 100 premiers auteurs dont les auteurs INRA ont été entrés dans la notice. La liste complète des auteurs et de leurs affiliations est accessible sur la publication.; International audience; In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues…

[SDV]Life Sciences [q-bio]autophagosomeReview Articleddc:616.07stressstreLC3MESH: AnimalsSettore MED/49 - Scienze Tecniche Dietetiche ApplicateSettore BIO/06 - Anatomia Comparata E Citologiachaperone-mediated autophagyComputingMilieux_MISCELLANEOUSSettore BIO/11Pharmacology. TherapySettore BIO/13standards [Biological Assay]autolysosomeMESH: Autophagy*/physiologylysosomemethods [Biological Assay]Biological AssaySettore BIO/17 - ISTOLOGIAErratumHumanBiochemistry & Molecular BiologySettore BIO/06physiology [Autophagy]Chaperonemediated autophagy[SDV.BC]Life Sciences [q-bio]/Cellular BiologyNOautophagy guidelines molecular biology ultrastructureautolysosome; autophagosome; chaperone-mediated autophagy; flux; LC3; lysosome; macroautophagy; phagophore; stress; vacuoleMESH: Biological Assay/methodsMESH: Computer Simulationddc:570Autolysosome Autophagosome Chaperonemediated autophagy Flux LC3 Lysosome Macroautophagy Phagophore Stress VacuoleAutophagyAnimalsHumansComputer SimulationSettore BIO/10ddc:612BiologyphagophoreMESH: HumansvacuoleAnimalLC3; autolysosome; autophagosome; chaperone-mediated autophagy; flux; lysosome; macroautophagy; phagophore; stress; vacuole; Animals; Biological Assay; Computer Simulation; Humans; Autophagy0601 Biochemistry And Cell BiologyfluxmacroautophagyMESH: Biological Assay/standards*Human medicineLC3; autolysosome; autophagosome; chaperone-mediated autophagy; flux; lysosome; macroautophagy; phagophore; stress; vacuole
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Robust model predictive control of networked control systems under input constraints and packet dropouts

2014

This paper deals with the problem of robust model predictive control (RMPC) for a class of linear time-varying systems with constraints and data losses. We take the polytopic uncertainties into account to describe the uncertain systems. First, we design a robust state observer by using the linear matrix inequality (LMI) constraints so that the original system state can be tracked. Second, the MPC gain is calculated by minimizing the upper bound of infinite horizon robust performance objective in terms of linear matrix inequality conditions. The method of robust MPC and state observer design is illustrated by a numerical example.

Article Subjectlcsh:MathematicsApplied MathematicsAnalysis; Applied Mathematicslcsh:QA1-939Analysis
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Erratum

2016

Author(s): Klionsky, DJ; Abdelmohsen, K; Abe, A; Abedin, MJ; Abeliovich, H; Arozena, AA; Adachi, H; Adams, CM; Adams, PD; Adeli, K; Adhihetty, PJ; Adler, SG; Agam, G; Agarwal, R; Aghi, MK; Agnello, M; Agostinis, P; Aguilar, PV; Aguirre-Ghiso, J; Airoldi, EM; Ait-Si-Ali, S; Akematsu, T; Akporiaye, ET; Al-Rubeai, M; Albaiceta, GM; Albanese, C; Albani, D; Albert, ML; Aldudo, J; Algul, H; Alirezaei, M; Alloza, I; Almasan, A; Almonte-Beceril, M; Alnemri, ES; Alonso, C; Altan-Bonnet, N; Altieri, DC; Alvarez, S; Alvarez-Erviti, L; Alves, S; Amadoro, G; Amano, A; Amantini, C; Ambrosio, S; Amelio, I; Amer, AO; Amessou, M; Amon, A; An, Z; Anania, FA; Andersen, SU; Andley, UP; Andreadi, CK; Andrieu-Ab…

0301 basic medicineSettore BIO/06biologyCell Biology[SDV.BC]Life Sciences [q-bio]/Cellular Biologybiology.organism_classificationCell biologyInterpretation (model theory)03 medical and health sciencesArama030104 developmental biologyMolecular BiologyHumanitiesComputingMilieux_MISCELLANEOUS
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