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Interdisciplinary investigation of the role of amino acids in immunometabolic responses to metformin in humans

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  • Full or part time
    Dr G Rena
    Prof C Lang
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

There is overwhelming evidence that inflammation contributes to the development of cardiovascular disease (CVD)but counterbalancing this is evidence from meta-analysis of randomised control trials that many existing anti-inflammatory drugs, such as COX2 inhibitors and anti-TNF drugs, tend if anything to exacerbate risk of CVD. If inflammation is to be targeted successfully in CVD, new paradigms of drug action and new approaches to patient selection need to be generated. Our recent work has been on metformin, which in observational studies also reduces risk of CVD. Our work in this area has established that anti-inflammatory effects of metformin are exerted irrespective of diabetes status[1, 2], through poorly understood ‘immunometabolic’ mechanisms that are different from existing anti-inflammatory drugs and which we have recently found are accompanied by changes in amino acid homeostasis.Better understanding of these effects is likely to have a high-impact, by supporting better stratification and targeting of repurposing trials of metformin in non-diabetic CVD [1].To ensure relevance to human disease,it is desirable to extend our studies from rodent-derived cells to include human-derived cells. To do this, the student will identify and then use a suitable human cell model to investigate the relationship between amino acid metabolism and immune effects of the drug. This will include evaluation of immortalised cell lines, such as U-937, HL-60 or THP1, to identify combinations of cells/stimuli suitable for further study.Combination of data from human cell studies with (mouse) knockout cells from our network of collaborators and with biomarkers in human plasma stored from previous clinical trials,as well as exploitation of state-of-the-art patient databases, provides the student with an outstanding platform to establish high-impact translational cross-validation of clinical observations with cell/molecular findings,as demonstrated in our highly interdisciplinary recent work [1, 2]

Apply
To apply please send a cover letter, curriculum vitae and two references to: [Email Address Removed]

Funding Notes

Please note this is a self-funded PhD project

References

1.Rena, G. and C.C. Lang, Circulation 2018. accepted for publication DOI: 10.1161/CIRCULATIONAHA.117.031735.
2.Cameron, A.R., et al., Circ. Res., 2016. 119: p. 652-665.



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