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About the Project
The Dorsal Vagal Complex (DVC) of the brain is an important regulator of glucose metabolism and food intake. The Nucleus of the Solitary Tract (NTS) in the DVC senses insulin and triggers a neuronal relay to decrease hepatic glucose production (HPG) in rodents. Recently we discovered that insulin inhibits GABA neurones in the NTS to control HGP. We aim to investigate how inhibition of GABA neurones can affect the communication between the DVC and the liver.
Overnutrition leads to the central nervous system losing the ability to sense changes in hormonal levels and to maintain the whole-body energy balance. Interestingly, in high-fat diet (HFD)-fed rodents, the DVC becomes insulin resistant and loses the ability to regulate HGP. We aim to investigate how HFD affects the ability of GABA neurones to respond to insulin.
Aim 1: Understand how GABA neurones in the DVC can regulate HPG.
- We will first analyse how insulin affects the activity of GABA neurones using 2-photon calcium imaging (the second supervisor is an expert of this technique and already produced interesting preliminary data). To identify the network of neurones that is involved in the regulation of glucose metabolism, we will perform retrograde neuronal tracing to highlight which neurones in the DVC projects to the liver. We will then perform 2-photon calcium imaging to understand how GABA neurones modulate the activity of the liver-projecting neurones. This will be the first complete characterization of the neuronal network in the DVC responsible for controlling blood glucose levels.
Aim 2: Understand the molecular changes associated with HFD-feeding and obesity that occur in GAB neurones in the DVC.
- Using translating ribosome affinity purification (TRAP) sequencing (TRAP-seq) (technique well established in our laboratory), we will measure changes in translating mRNA in GABA neurones of the DVC of insulin resistant and obese rats. With this technique we will identify through next generation sequencing how HFD-feeding affects GABA neurones at the molecular level. We will then use this knowledge to develop a molecular approach that can restore ability of GABA neurones to modulate the liver-projecting neurones. This experimental approach has the potential to identify novel target molecules that could be used to design drugs that can prevent the development of insulin resistance in the brain.
Eligibility
Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. A Master degree is desirable but not essential.
The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.
How to Apply
To apply for this project applicants should complete an online application form and attach the following documentation to support their application.
- a full academic CV
- degree certificate and transcripts of marks
- Evidence that you meet the University's minimum English language requirements (if applicable).
- Evidence of funding
To help us identify that you are applying for this project please ensure you provide the following information on your application form;
- Select PhD in Biological Sciences as your programme of study
- Give the full project title and name the supervisors listed in this advert
References
Filippi B.M., Abraham M. A., Silva P. A., Rasti M., LaPierre M. P., Bauer P. V., Rocheleau J. V., & Lam T. K. T.: Dynamin-related protein 1-dependent mitochondrial fission changes in the dorsal vagal complex regulate insulin action. Cell Reports. 2017 March 7; 18, 2301–2309
Haigh, J. L., New, L. E., & Filippi, B. M.: Mitochondrial Dynamics in the Brain Are Associated With Feeding, Glucose Homeostasis, and Whole-Body Metabolism. Frontiers in Endocrinology, 2020 1–17. (Review)
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