Stephen Bawden1,2, K Manoj3, Elizabeth Simpson1, K Leena4, Moira Taylor1, Sally Hibbert5, Amrita Vijay1, Laura Miller1, Jane Grove1, Ana Valdes1, Penny Gowland2, Thrivikrama Shenoy4, and Guruprasad P Aithal1
1NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3Metro Scan and Laboratory, Trivandrum, India, 4Population Health and Research Institute, Trivandrum, India, 5Centre for Research in the Behavioural Sciences, Nottingham University Business School, Nottingham, United Kingdom
Synopsis
The
Indian population provides important cohorts for
research into metabolic disorders due to the greater prevalence of NAFLD and
diabetes, and the relatively low complexity of dietary intake. In this study 71 male participants with NAFLD were recruited from a cohort in India and randomized into two groups - a 16 week low glycaemic index dietary intervention arm and a control arm. 1H MRS was used to assess liver fat fractions, alongside other metabolic markers. Results show a trend towards reduced fat fractions in the diet arm only.
INTRODUCTION
South Asians are at higher risk of developing non-alcoholic fatty liver disease (NAFLD), diabetes and consequent mortality at a lower BMI
than Caucasians [1]. This is due to a combination of genetic and lifestyle
factors that lead to an increased susceptibility to metabolic syndrome.
Previous studies have shown that lowering dietary Glycaemic Index (GI) in short
term well controlled interventions improves glucose response [2] and reduces liver fat in energy matched diets [3].
This suggests that lowering GI could be a potentially beneficial lifestyle intervention to improve liver health, and would be particularly valuable in situations
where high GI carbohydrate foods, such as white rice, make up the majority of
energy intake in the diet (as is the case in many South Asian Countries).
1H MRS provides a well validated,
non-invasive technique to measure liver fat and can be used to monitor the
effects of dietary interventions effectively [3, 4]. In
this study, funded by Global Challenges Research Fund (GCRF), the effectiveness
of lowering GI over a longer period whilst introducing regular Yoga sessions
was evaluated in a community based intervention study in Kerala, South India. METHODS
82 Men (18-70y) who consumed ≥5.7g/day.kg
body weight of white rice were recruited from an established NAFLD
cohort in Kerala, India and randomized to YOGA
or YOGA+DIET arm. Both groups were offered sessions of 1hr up to 5 times/ week for 16 weeks. The YOGA+DIET group
also replaced white rice consumption with a non-polished rice with low GI (Palakkadan
matta). Protein intake was also increased by providing Mung Beans (2g protein
per 100g rice vs 7g protein per 100g mung beans) which both lowered GI and in
addition lowered glycaemic load (GL = GI x carbohydrate consumed). Blood
samples, Oral Glucose Tolerance Test (OGTT) and MR scans were taken from
patients at baseline and week 16, and pre v post values assessed using a two
way ANOVA (data is shown as median and interquartile range).
Blood samples were taken at the Kerala
Public Health Research Institute (PHRI) and used to measure Insulin resistance
(HOMA-IR), average blood glucose levels (HbA1c), Alanine Aminotransferase (ALT)
and Aspartate Aminotransferase (AST); postprandial blood glucose response was
measured using OGTT.
STEAM localized TE varying 1H
MRS were acquired using a GE Signa Pioneer 3T scanner at the Metro Scan
facility, Kerala. Spectra were acquired from a 20x20x20mm voxel in the right
lower lobe of the liver over 4 breath-holds at varying echo times (TE=15, 60, 80 and 120
ms, TR = 3500, 4 averages per spectra) and an extra water suppressed spectra
acquired at TE = 15. Spectra were post processed using in-house software
providing automatic phase correction and frequency alignment before peak
fitting using prior knowledge and tolerances [5]. Signal amplitudes of the water and lipid peaks at
varying echo times were fitted to a mono-exponential T2 decay curve to
determine water and lipid T2, and used to determine PDFF as described
previously [6]RESULTS
71
men (44.7 ± 10.8 y) completed the study. Groups were matched at baseline for
age, BMI, HOMA-IR, HbA1c, ALT and AST.
BMI, HbA1c, ALT and AST reduced significantly
after both the 16 week YOGA and YOGA+DIET interventions,
whilst fasting blood glucose was significantly lowered in the test arm ONLY (table
1).
Due
to technical difficulties 1H MRS could not be assessed in 5
participants leaving 32 and 34 participants in the YOGA and YOGA+DIET groups respectively. MR Spectra had
good SNR and were well resolved for individual peak fitting (figure 1). Baseline
PDFF values in the YOGA and YOGA+DIET groups
were 18.8 [14.8 – 21.6] % and 19.7 [16.3 – 25.1] % respectively and values in both groups reduced after the intervention (YOGA = 16.8 [13.9 – 21.6] %; YOGA+DIET = 18.6
[15.0 – 24.6] %) with reductions
close to significance in the YOGA+DIET arm only (p = 0.07). There was a
significant main effect of visit on PDDF values (p=0.004) but no significant interaction between visit and diet for any measured outcome.DISCUSSION
The Indian
population provides an important cohort for research into metabolic disorders due
to the greater prevalence of NAFLD and diabetes, and the relatively low variability of dietary intake. Whilst multiple studies shave explored the short term
effects of differing components of diet in a controlled environment,
fewer studies have looked at the longer term effects of targeted ad libutum interventions. Participation in this study did produce improvements in metabolic
health for all subjects. There was a trend for the dietary intervention to
result in lower liver fat although
this was not significant. Future studies should consider longer interventions
or larger groups to increase statistical power.
One of the main goals of GCRF is to
support cutting-edge research that addresses the challenges faced by developing
countries. During this study, new techniques were acquired and software written
to further this development in India and increase research capacity.Acknowledgements
No acknowledgement found.References
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