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HVN SYNERGY Metadata Record - The New Zealand SYNERGY Study: Diabetes Prevention in Asian Chinese

dataset
posted on 2023-11-22, 01:22 authored by Jennifer Miles-ChanJennifer Miles-Chan, Ivana SequeiraIvana Sequeira

This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future. 

Description: Researchers aim to identify blood, urine and faecal markers of type 2 diabetes (T2D) risk that differ between ethnicities; and undertake nutritional interventions that target these biomarkers. Our previous study showed that Asian Chinese had a unique ‘fingerprint’ of diabetes markers with worse blood glucose (blood sugar), lipids (blood fats), and different novel metabolomic markers when they were still younger and outwardly-slim than matched European Caucasian counterparts. The reason for this difference is not known, and so in this current study we will try to find out what causes the difference. One possibility is that the markers are different due to completely different home diets. Therefore, we will test whether differences in the novel ‘metabolomics’ blood markers are completely due to diet and also assess whether diet with additional nutrients may together (synergistically) be beneficial in changing the profile of these novel blood markers. In order to do so, we will design two healthy diets based on the New Zealand and the Chinese dietary guidelines for improving metabolic health. The two diet arms will be:  

1) HEALTHY DIET (‘control’ diet, HD): which adheres to NZ and Chinese national dietary guidelines for good metabolic health 

 2) HEALTHY SYNERGY+ DIET (SD): which adheres to NZ and Chinese national dietary guidelines for good metabolic health and includes some additional nutrients** hypothesised to have further improve metabolic health. 

 ** Examples are whole foods such as omega-3 rich fish, more fibre, nuts and seeds, meat with less saturated fats. Both diets are healthy and matched with each other for energy content. 

 All Caucasian participants will be enrolled in the Healthy diet arm while the Chinese participants will be allocated by chance to either the Healthy diet or the Healthy Synergy+ diet arms. 

History

Publisher

University of Auckland

Temporal coverage: start

2022-01-01

HVN Project / Programme Name

HVN SYNERGY

Data access requirements

Individual participant data will not be made available. This is in accordance with National Health and Disability Ethics Committees application that all data generated will only be used for this study.

Principal investigator organisation

University of Auckland

Collaborating researchers and affiliations

Principal Investigators:  A/P Jennifer Miles-Chan, University of Auckland, Human Nutrition Unit, 18 Carrick Place, Mt Eden Dr Ivana Sequeira-Bisson, University of Auckland, Human Nutrition Unit, 18 Carrick Place, Mt Eden Associate Investigators: Professor Sally Poppitt (University of Auckland) A/P Mike Taylor (University of Auckland) Dr Karl Fraser (AgResearch) Mr William Zhu (University of Auckland) Collaborators: Professor Garth Cooper (University of Auckland and University of Manchester) Professor Rinki Murphy (University of Auckland) A/P Lindsay Plank (University of Auckland) Dr Denise Conroy (Plant and Food Research) Dr Kieren Hollingsworth (University of Newcastle upon Tyne) Dr Karin Schofield (Intwood Consultants) Dr Olivier Gasser (Malaghan Institute) Dr Ivy Gan (Plant and Food Research)

Data description

Outcomes of the study and associated data  Primary outcome - Change in plasma metabolome profile Associated data: plasma metabolome profile Secondary outcomes - Composite change in established clinical biomarkers of obesity and type 2 diabetes including: Fasting plasma glucose (FPG), Postprandial 2-h glucose/OGTT, HbA1c, Fasting insulin, C-peptide - Urine metabolome profile Associated data: Fasting plasma glucose (FPG), Postprandial 2-h glucose/OGTT, HbA1c, Fasting insulin, C-peptide, Urine metabolome profile Other outcome measures and associated data - Resting metabolic rate and glucose induced thermogenesis (indirect calorimetry) - Blood pressure and body temperature - Faecal microbiome and AhR activity - Urine Nitrogen (dietary compliance) - Clinical biomarkers including: Lipid profile (total cholesterol, LDL-C, HDL-C, triacylglycerol) Liver function tests Inflammatory markers and PBMCs for immune profiling Type 2 diabetes related peptides, including adiponectin, amylin, glucagon, GLP-1 Epigenetic, SNP, miRNA markers of Type 2 diabetes

Principal investigator contact email

j.miles-chan@auckland.ac.nz