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Dr Małgorzata Anna Kępczyńska
Post-doctoral Research Fellow
The Clore Laboratory
University of Buckingham
MK18 1EG, UK
Tel (office): +44 (0)1280 820368
Tel (lab): +44 (0)1280 820323
Małgorzata gained an MA in Biology (2006) at the University of Szczecin in Poland, where she investigated differences between mitochondrial genomes amongst several lines of triticale (X Triticosecale Wittmack). During her MA she has also gained research experience in the Max Planck Institute of Molecular Plant Physiology in Germany where she contributed to the research project: ’’Identification of novel nodule-induced transporter genes in the model legume, L japonicus”.
In 2006 Małgorzata joined the Buckingham Institute for Translational Medicine at the University of Buckingham where she obtained an MSc in Biomedical Science (2009). Her thesis was on ’’The effect of knocking out preprodynorphin gene on ß-cell morphology’’. She was also awarded a DPhil in Biomedical Science (2014). Her PhD thesis was entitled ’’The impact of maternal over-nutrition and maternal obesity on the development of obesity in the offspring’’.
Since 2014 Małgorzata has been working as a Research Fellow at the BITM towards discovery of novel therapeutic targets (e.g. G-protein-coupled receptors, cannabinoid receptors) for the treatment of obesity and type 2 diabetes and understanding of the molecular mechanisms of these diseases. Małgorzata utilises a range of in vivo and in vitro methods and specialises especially in molecular biology techniques, particularly gene expression. She has also experience in supervision of students conducting lab-based scientific projects and is a Personal Tutor for medical students.
Key Research Interests
Adipose tissue dysfunction in obesity and its consequences
Developmental origins of metabolic syndrome
Gut microbiota dysbiosis and its link with metabolic diseases
Publications (last 5 years):
Muredda L, Kępczyńska MA, Zaibi MS, Alomar SY, Trayhurn P (2017). IL-1β and TNFα inhibit GPR120 (FFAR4) and stimulate GPR84 (EX33) and GPR41 (FFAR3) fatty acid receptor expression in human adipocytes: implications for the anti-inflammatory action of n-3 fatty acids. Arch Physiol Biochem. 24:1-12.
Kępczyńska MA, Zaibi MS, Alomar SY and Trayhurn P (2016). PCR arrays indicate that the expression of extracellular matrix and cell adhesion genes in human adipocytes is regulated by IL-1β (interleukin-1β). Arch Physiol Biochem. 123(1): 61-67. DOI: 10.1080/13813455.2016.1248979.
Azevedo CM, Watterson KR, Wargent ET, Hansen SV, Hudson BD, Kępczyńska MA, Dunlop J, Shimpukade B, Christiansen E, Milligan G, Stocker CJ, Ulven T (2016). Non-Acidic Free Fatty Acid Receptor 4 Agonists with Antidiabetic Activity. J Med Chem. 59(19):8868-8878. DOI: 10.1021/acs.jmedchem.6b00685.
Alomar SY, Gentili A, Zaibi MS, Kępczyńska MA, Trayhurn P (2016). IL-1β (interleukin-1β) stimulates the production and release of multiple cytokines and chemokines by human preadipocytes. Arch Physiol Biochem. 122(3):117-22. DOI: 10.3109/13813455.2016.1156706.
Harzallah A, Hammami M, Kępczyńska MA, Hislop DC, Arch JR, Cawthorne MA, Zaibi MS (2016). Comparison of potential preventive effects of pomegranate flower, peel and seed oil on insulin resistance and inflammation in high-fat and high-sucrose diet-induced obesity mice model. Arch Physiol Biochem 122(2), 75-87. DOI: 10.3109/13813455.2016.1148053.
Alomar SY, Zaibi MS, Kępczyńska MA, Gentili A, Alkhuriji A, Mansour L, Dar JA, Trayhurn P (2015). PCR array and protein array studies demonstrate that IL-1β (interleukin-1β) stimulates the expression and secretion of multiple cytokines and chemokines in human adipocytes. Arch Physiol Biochem 121(5), 187-93. DOI: 10.3109/13813455.2015.1087034.
Kępczyńska MA, Wargent ET, Cawthorne MA, Arch JRS, O’Dowd JF, Stocker CJ (2013). Circulating levels of the cytokines IL10, IFNg and resistin in an obese mouse model of developmental programming. JDOHaD 4(6):491-498. DOI: 10.1017/S2040174413000263.
Osman, OS, Selway JL, Kępczyńska MA, Stocker CJ, O’Dowd JF, Cawthorne MA, Arch JRS, Jassim S, Langlands K (2013). A novel automated image analysis method for accurate adipocyte quantification. Adipocyte 2(3): 1. DOI:10.4161/adip.24652