2025
Increasing rat numbers in cities are linked to climate warming, urbanization, and human population
Richardson J, McCoy E, Parlavecchio N, Szykowny R, Beech-Brown E, Buijs J, Buckley J, Corrigan R, Costa F, DeLaney R, Denny R, Helms L, Lee W, Murray M, Riegel C, Souza F, Ulrich J, Why A, Kiyokawa Y. Increasing rat numbers in cities are linked to climate warming, urbanization, and human population. Science Advances 2025, 11: eads6782. PMID: 39888984, PMCID: PMC11784805, DOI: 10.1126/sciadv.ads6782.Peer-Reviewed Original ResearchConceptsRat numbersHuman populationSeasonal activity periodFuture management strategiesMitigation needsFood availabilityFuture vulnerabilityLong-term trendsPublic complaintsBiological impactClimate warmingEnvironmental changesWarmer temperaturesCommensal pestsManagement strategiesCityRat populationsWashington D.C.Estimate trendsUrbanizationNew YorkUrban ratsActive periodIncreasing trendWarming
2024
CT1812 biomarker signature from a meta‐analysis of CSF proteomic findings from two Phase 2 clinical trials in Alzheimer's disease
Lizama B, Williams C, North H, Pandey K, Duong D, Di V, Mecca A, Blennow K, Zetterberg H, Levey A, Grundman M, van Dyck C, Caggiano A, Seyfried N, Hamby M. CT1812 biomarker signature from a meta‐analysis of CSF proteomic findings from two Phase 2 clinical trials in Alzheimer's disease. Alzheimer's & Dementia 2024, 20: 6860-6880. PMID: 39166791, PMCID: PMC11485314, DOI: 10.1002/alz.14152.Peer-Reviewed Original ResearchVolumetric magnetic resonance imagingMagnetic resonance imagingPharmacodynamic biomarkersMeta-analysisClinical developmentCerebrospinal fluidPhase 2 clinical trialResonance imagingAlzheimer's diseaseMechanism of actionClinical trialsTandem mass tag-mass spectrometryClinical cohortMild to moderate ADCandidate biomarkersCT1812CohortBiomarker signaturesBiomarkersProteomic findingsUnbiased analysisNetwork analysisAmyloid-betaSynaptic biologyBiological impact
2018
Beyond genomics: understanding exposotypes through metabolomics
Rattray NJW, Deziel NC, Wallach JD, Khan SA, Vasiliou V, Ioannidis JPA, Johnson CH. Beyond genomics: understanding exposotypes through metabolomics. Human Genomics 2018, 12: 4. PMID: 29373992, PMCID: PMC5787293, DOI: 10.1186/s40246-018-0134-x.Peer-Reviewed Original ResearchConceptsGene-environment interactionsChallenges of metabolomicsIntegration of genomicsHuman genomeMultiple genetic variantsGenetic variationGenomic technologiesAssociation studiesMetabolic traitsMetabolite productionMetabolic processesIndividual phenotypesMetabolome-wide association studyProtein synthesisHuman population levelGenetic variantsBiological impactGenomicsDisease mechanismsMetabolomic informationWealth of informationPopulation levelSmall moleculesMetabolomicsTraits
2016
Increased miR-155-5p and reduced miR-148a-3p contribute to the suppression of osteosarcoma cell death
Bhattacharya S, Chalk AM, Ng AJ, Martin TJ, Zannettino AC, Purton LE, Lu J, Baker EK, Walkley CR. Increased miR-155-5p and reduced miR-148a-3p contribute to the suppression of osteosarcoma cell death. Oncogene 2016, 35: 5282-5294. PMID: 27041566, DOI: 10.1038/onc.2016.68.Peer-Reviewed Original ResearchConceptsMiR-148aCell deathCell biological impactMiR-155-5p inhibitionCross-species comparisonsMiR-155-5pApoptosis/necroptosisNormal osteoblastsOS cellsOsteosarcoma cell deathMurine primary osteoblastsMiRNA expression patternsMiRNA-based therapiesCell fateMiR-155-5p overexpressionExpression patternsMolecular geneticsTractable targetsPrimary osteoblastsCandidate targetsBiological impactOsteoblast culturesRIPK1MiRNAsMiRNA
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