Dong-Hyun Kim

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Associate Professor

University of Nottingham

United Kingdom

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About

Dong-Hyun Kim is an Associate Professor at the University of Nottingham, UK. His research focuses on various areas, including anticancer evaluation of natural compounds, lipidomics in dairy cows, and metabolomic characterisation in glioblastoma. He has published recent articles exploring the effects of phytochemicals on Alzheimer’s disease, protein adsorption analysis, and the impact of cosmic-ray radiation on pharmaceuticals.

Recent Grants

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Blocking chemical reactions which keep cancer cells alive – a new therapy for childhood ependymoma

Open Date: 2022-08-01

Close Date: 2025-01-01

Grant: Close

MICA: Exploiting specialised pro-resolution molecule mediated analgesia to identify novel targets for the treatment of chronic pain

Open Date: 2022-03-01

Close Date: 2025-02-01

Grant: Close

Developing a biomarker for minimal residual disease in ependymoma

Open Date: 2021-11-01

Close Date: 2023-10-01

Grant: Close

Using metabolomics to detect lameness on commercial dairy farms; a validation study

Open Date: 2021-11-01

Close Date: 2022-03-01

Grant: Close

Identifying novel therapeutic targets in pHGG and DIPG using a 'bottom-up' approach

Open Date: 2021-09-01

Close Date: 2022-12-01

Articles (25)

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2022

Collaborators (20)

CAROLINA ARMENGOL

SPAIN

Dong-Hyun Kim

Research Interests

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About

Recent Grants

Articles (25)

High-Throughput Analysis of Protein Adsorption to a Large Library of Polymers Using Liquid Extraction Surface Analysis–Tandem Mass Spectrometry (LESA-MS/MS)

Milk lipidome alterations in first-lactation dairy cows with lameness: A biomarker identification approach using untargeted lipidomics and machine learning

Isolation, Characterization, and Anticancer Evaluation of Alkaloids from Eumachia montana (Rubiaceae)

Altered metabolic function induced by Aβ-oligomers and PSEN1 mutations in iPSC-derived astrocytes

Characterization of the Anticholinesterase and Antioxidant Properties of Phytochemicals from Moringa oleifera as a Potential Treatment for Alzheimer’s Disease

Metabolomic characterisation of the glioblastoma invasive margin reveals a region-specific signature

Identification of Predictive Biomarkers of Lameness in Transition Dairy Cows

Serum levels of hydroxylated metabolites of arachidonic acid cross-sectionally and longitudinally predict knee pain progression: an observational cohort study.

Antiproliferative activities of some selected Nigerian medicinal plants against breast, liver, and cervical cancer cells

Spatially Resolved Molecular Analysis of Host Response to Medical Device Implantation Using the 3D OrbiSIMS Highlights a Critical Role for Lipids

Sustained adenosine release: Revealing its impact on osteogenic signalling pathways of human mesenchymal stromal cells

Cordycepin generally inhibits growth factor signal transduction in a systems pharmacology study

Cosmic-Ray Radiation Effects on Ibuprofen Tablet Formulation Inside and Outside of the International Space Station

Predicting lameness in dairy cattle using untargeted liquid chromatography–mass spectrometry-based metabolomics and machine learning

Acai Berry (Euterpe sp.) Extracts Are Neuroprotective against L-Glutamate-Induced Toxicity by Limiting Mitochondrial Dysfunction and Cellular Redox Stress

Advantages of using biologically generated 13C-labelled multiple internal standards for stable isotope-assisted LC-MS-based lipidomics

Potential biomarkers and metabolomics of acetaminophen-induced liver injury during alcohol consumption: A preclinical investigation on C57/BL6 mice

Untargeted Metabolomic Characterization of Glioblastoma Intra-Tumor Heterogeneity Using OrbiSIMS

Characterisation of Aberrant Metabolic Pathways in Hepatoblastoma Using Liquid Chromatography and Tandem Mass Spectrometry (LC-MS/MS)

Metabolic Signatures of Surface-Modified Poly(lactic-co-glycolic acid) Nanoparticles in Differentiated THP-1 Cells Derived with Liquid Chromatography-Mass Spectrometry-based Metabolomics

Metabolic modeling-based drug repurposing in Glioblastoma.

Single-Cell Metabolic Profiling of Macrophages Using 3D OrbiSIMS: Correlations with Phenotype

Apoferritin-Encapsulated Jerantinine A for Transferrin Receptor Targeting and Enhanced Selectivity in Breast Cancer Therapy

Serum levels of pro-inflammatory lipid mediators and specialised pro-resolving molecules are increased in SARS-CoV-2 patients and correlate with markers of the adaptive immune response

Lipoprotein Deprivation Reveals a Cholesterol-Dependent Therapeutic Vulnerability in Diffuse Glioma Metabolism

Collaborators (20)

CAROLINA ARMENGOL

Tracey D. Bradshaw

Victoria Chapman

Ana S. Cardoso

John King

Weiya Zhang

Martin Green

Morgan Alexander

Michael Doherty

Pardeep Pabla

Rian L. Griffiths

Joris Meurs

Amir M. Ghaemmaghami

Cameron Alexander

Laura Randall

Aliya Sarmanova

Madhumita Dandapani

Ruman Rahman

Jake S. Thompson

Ian Mellor

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