Predicting Metabolic Risk and Correlations with Cognitive Function in Mexican Pre-pubertal Children (METCOG)

Lead Research Organisation: King's College London
Department Name: Neuroimaging

Abstract

BACKGROUND
Over 30% of children in Mexico and the UK are overweight/obese, with a third likely to be obese as adults. Obese individuals are more likely to develop disorders such as, high blood pressure, diabetes, increased harmful fat in the blood (dyslipidaemia), fatty liver, inflammation, heart disease and some forms of cancer. Furthermore, abdominal obesity (fat around the waist), high fat/sugar feeding as well as liver disease have been reported to lead to dysfunction in cognitive capabilities (difficulties in learning, thinking and memory). Whether the inflammation observed in obesity links the body and brain effects remains to be determined.
Body fat can be stored in specific areas, including under the skin, around certain organs as well as inside organs such as the liver. Obesity is defined the excessive build-up of body fat in these tissues. While obese individuals are more likely to be unhealthy, rather surprisingly, 1 in 5 seems to show resistance to developing clinical complications. This appears to arise from the fact that some of them may have lower amounts of fat around their abdomen. Thus, it is not only the amount but also the distribution of body fat that may better predict the risk of developing obesity-related diseases. Conventionally, a person is defined as overweight/obese by their body-mass index (BMI), skin thickness or waist-to-hip ratio. These methods are however very poor predictors of the amount and distribution of body fat. Magnetic resonance imaging (MRI) can be used to safely look into the body and can very accurately measure the amount and distribution of fat in the body as well as the amount of fat inside a person's liver. Fatty liver is often inflamed and may have fibrous deposits (fibrosis) which can exacerbate the clinical condition of an overweight/obese person. At present, little is known as to the levels and distribution of body fat in overweight/obese children as MRI techniques have not been implemented in such a group of subjects. Similarly, there is no information as to the extent to which these children have accumulated fat in their liver. Nor is there much information as to how this abnormal deposition of body fat affects their cognitive abilities.

AIMS AND OBJECTIVES
We aim to identify accurate predictors of the risk of developing physical and cognitive problems in children with a range of body weights as well as whether changes in inflammation seen in obesity links abnormal body fat deposition and changes in brain function. We will focus on pre-pubertal children to negate the varied effects of hormones during puberty on different measurements.
Objectives are to:
(1) use MRI to measure the pattern of body fat deposition in normal weight, overweight and obese children;
(2) correlate fat measures with blood levels of glucose, bad fats, molecules produced by fat cells as well as those molecules involved in inflammation;
(3) correlate different fat depots with blood inflammatory markers and liver inflammation with cognitive abilities;
(4) use experimental models of obesity (i) to determine the strength of the association between fat deposition, blood measures, blood and liver inflammation measures with brain inflammation and behaviour tests and (ii) assess whether early-life rather than later-life obesity significantly increases the risk of developing physical and cognitive dysfunction in adulthood.

POTENTIAL APPLICATIONS AND BENEFITS
The early identification of children at greater risk of future health problems enables earlier intervention which is likely to be more successful by avoiding cumulative harmful processes that may be more resistant to intervention. The obesity epidemic, alongside childhood obesity, and the ageing population, means that the outputs from this project will greatly benefit the welfare and socio-economics of Mexico and the UK, as well as the wider international community.

Planned Impact

There is a worldwide obesity epidemic with high rates of childhood obesity. This poses a major public health challenge for both Mexico and the UK, as well as globally. Overweight/obese individuals are likely to develop a range of diseases including types II diabetes, dyslipidaemia, hepatic steatosis, coronary heart disease, some cancers, stroke, etc. This is especially pertinent to Mexico as its recent economic growth and preferred detrimental dietary habits means it has one of the highest rates of obesity (adult and children) in the OECD.

MEDICAL IMPACT
The proposal develops and validates non-invasive MRI-based tools to stratify children according to metabolic risk as well as assessment of liver fat/inflammation for prompt targeted treatment. Such tools can be readily implemented on human MRI scanners and there is widespread availability of such systems worldwide with >350 NHS scanners in the UK alone.Hence, this project can potentially have substantial medical impact both in the UK and Mexico. Without early treatment, persistent peripheral and central dysfunction may become established, leading to more severe complications and resistance to therapy in later-life. For example, fatty liver predisposes the individual to cirrhosis and liver cancer, and early treatment prevents escalation of inflamed liver to cirrhosis and hepatocellular carcinomas in later-life. The project also informs on the prevalence of fatty liver in pre-pubertal Mexican children. Such data is not widely available regarding the World's children population, let alone that of Mexico. The children study in this proposal will be performed in the Hospital Infantil del DF, Federico Gomez, and the transfer of knowledge and technology from the UK to Mexico means that the existing imaging tools can be readily deployed there in the future.
This project will uniquely determine the strength of the association between peripheral and central dysfunction in children, a relatively new research focus in obesity. Thus, knowledge will be obtained that would maintain the cognitive health of children and enhance their future prospects. In experimental models, we will determine whether inflammation connects the peripheral and central effects and anti-inflammatories repurposed for treating cognitive dysfunction in overweight/obese individuals.

SOCIO-ECONOMIC IMPACT
Not only are there direct costs of treating individuals for assorted obesity-related complications but also to the wider economy with working days lost, increased benefit payments and social care costs. Public Health England forecast NHS costs for treatment overweight/obese may be £9.7 billion and indirect costs of £49.9 billion by 2050. Also, there are adverse social consequences of being overweight/obese such as discrimination, social exclusion and loss of, or lower earnings. This project will identify those children that are at particular risk of developing obesity-related diseases to prevent them developing such diseases in later-life, enhancing their welfare but also alleviating the economic burden in their respective countries. This is particularly pertinent to Mexico as childhood obesity continues to escalate and show no signs of abating, despite government policies to tackle the problem.
Education raises productivity and creativity, promoting entrepreneurship and technological advances. Thus, if there is a strong association between childhood obesity and its complications with cognitive dysfunction, this problem needs to be addressed urgently to prevent detrimental impact on a country's economics. The project will quantify the relationship between obesity, metabolic risk and cognitive function as well as identify whether attenuating inflammation may break the link between peripheral and central dysfunction and so raise the potential of the country's children to be educated to a high standard.

Publications

10 25 50
 
Description While cognitive tests in the study showed no significant differences between young Mexican boys who are normal weight or obese, neuroimaging data suggests that the 'executive control network' (ECN) involving certain brain regions is absent or dysfunctional in obese children. The ECN is involved in decision-making, including lifestyle choices, e.g., choice of food to eat, whether to exercise, etc, and overrides normal satiety signals in the brain, and leads to weight gain and obesity. To the best of our knowledge, this is the first time, that this finding has been reported in young boys, in an ethnic group that is known to be at a high risk of developing obesity. This finding is particularly topical at the moment with the advent of new anti-obesity drugs, e.g., Wegovy, reported to dampen the relentless and distressing desire to keep eating.

We show that a group of young Mexican boys showing no symptoms but tended to have increased blood pressure, higher blood sugar and fats, excess body fat around the waist, and likely to develop metabolic syndrome including diabetes, had an unusually high liver imaging measurement. The association of the abnormal liver imaging measurement with increased metabolic syndrome risk has been observed in adults but rarely in young children, and never, in an ethnic group that is known to be at a high risk of developing metabolic syndrome. The use of liver imaging to accurately identify those children likely to develop disease has been proposed but thus far, data on the association of liver imaging with metabolic health assessments has not been reported. Our study shows that an abnormal liver imaging measurement is associated with a high risk of developing metabolic syndrome in young children. While non-liver imaging measurements can be used, and indeed, are used currently, to assess liver health which if impaired can increase the risk of metabolic syndrome, liver imaging is a direct measurement of the liver and has greater accuracy in predicting the risk of developing serious disease in children exhibiting no symptoms except maybe increased body weight. Thus, liver imaging can be used to identify children at greater risk of developing severe disease and be treated earlier and increases the likelihood of greater therapeutic success. This is particularly relevant as the new anti-obesity drugs, shown to be effective in obesity, also appear to normalize blood liver measurements, and liver imaging can be used to monitor therapy.
We have shown an association between green spaces and cognition in young Mexican boys and suggest that exposure to green spaces is essential in children where their brains are still maturing.
Exploitation Route The liver imaging aspects of the study can be/is being used by Perspectum Diagnostics (collaborator) to demonstrate the utility of their liver imaging measures in pediatric populations to stratify individuals for drug treatment and/or monitoring.
We hope to obtain further funding to study neural networks in children before and after anti-obesity treatment and if there is restoration of normal ECN function.
Our data showing the association of green spaces and cognitive abilities in children can be utilized by urban planners to improve the environment for children to develop their full potential. Also, we will engage with the public, particularly young children and their guardians to show the value of utilising green spaces to aid cognitive development.
Sectors Agriculture

Food and Drink

Communities and Social Services/Policy

Environment

Healthcare

Government

Democracy and Justice

 
Description Findings have been used by MSc and PhD students and Post-docs in Mexico, leading to abstracts and theses and there will be future publications from the work. This has enhanced the capacity of Mexico by developing and strengthening the skills and abilities of its citizens, thus enhancing the socio-economic status of Mexico. The findings have also been used to develop artificial intelligence (AI) methods to automatically provide abdominal fat measurements without the need for highly powered computing. Manual measurements are laborious and while it is possible to outsource to a company to undertake the analysis, there is an associated cost, and so not accessible to all researchers. Thus, the new AI method would benefit health researchers in both Mexico and the UK, as well as internationally. Our project has been extended to study the effects of environment on cognition in young Mexican children. We have published our data showing that increased exposure to green spaces was associated with higher cognition capacity. We will engage young children and their guardians, both in Mexico and the UK, to show the importance of green spaces to brain development, thus, enhancing the socio-economic status of both countries in the future, by increasing and strengthening the skills and abilities of their respective populations. We have demonstrated from our liver imaging findings that liver imaging may be used to stratify children for treatment and prevent the development of severe disease, as well as its potential to monitor therapy.
First Year Of Impact 2023
Impact Types Societal

Economic

 
Title liver health MRI acquisition and analysis in mice 
Description Robust T1 and T2* MRI mapping of the liver in mice 
Type Of Material Physiological assessment or outcome measure 
Provided To Others? No  
Impact The ability of assess liver health status in mice, including the degree of liver fat, inflammation and fibrosis. 
 
Description Analysis of MRI body composition measures by AMRA Medical 
Organisation AMRA medical
Country Sweden 
Sector Hospitals 
PI Contribution We have given AMRA Medical access to the body composition data from this study and continue to collaborate to publish the data.
Collaborator Contribution AMRA Medical have analyzed the data and given us adipose tissue distributions and muscle mass data from our cohort of prepubertal boys.
Impact Collaboration is multi-disciplinary including physics, data analysis and human metabolism
Start Year 2017
 
Description Env-METCOG (NC) 
Organisation Jaume I University
Country Spain 
Sector Academic/University 
PI Contribution A collaboration was set up to assess the association between environmental stressors, such as exposure to air pollution and availability of green spaces (greenness), on cognitive function, mental and cardiometabolic health in children with a range of body weights. The research team is providing project data and complementary expertise.
Collaborator Contribution The partner has obtained data about the environment where the children are living including air pollution, the nearness of green spaces, etc. and we will investigate associations of our project data with cognitive function, psychological and obesity measures.
Impact This is a multi-disciplinary collaboration involving experts in medical imaging, psychology, obesity and the environment. Abstracts submitted to numerous meetings including: XVI Spanish conference VI Iberoamerican Conference on Environmental Health, Joint Spanish & Portuguese Epidemiology congress 2023, etc. Some of the work, entitled, 'Cross-sectional evaluation of the association between greenness and cognitive performance in Mexican pre-pubertal boys' has been published in Environmental Research, 2023, DOI: 10.1016/j.envres.2023.116968
Start Year 2019
 
Description King's Health Partners Obesity and Metabolic Disease Network 
Organisation King's College London
Country United Kingdom 
Sector Academic/University 
PI Contribution This collaboration/network facilitates interactions/collaborations between various groups interested in obesity and metabolic disease at King's. Po-Wah So is part of the network steering committee and hopes to be able to report findings from this project at network activities.
Collaborator Contribution Contributions on obesity and metabolic disease were presented from various network partners for discussion and contribution, and the possibility of symposia and engagement events was discussed. However, due to work pressures, this has not advanced as much as hoped and severely hampered by covid.
Impact No outputs/outcomes from collaboration. It is multidisciplinary involving basic scientists and clinicians from various fields, including from the social sciences.
Start Year 2018
 
Description Liver health MRI acquistion and analysis in human and mouse studies 
Organisation Perspectum
Country United Kingdom 
Sector Private 
PI Contribution The project UK PI and Co-I provides expertise on liver fat in mice and humans, respectively.
Collaborator Contribution Perspectum provides expertise on liver fat/health MRI acquisition and analysis in man and mice.
Impact We have finalized the development and implementation of liver MRI protocols in mice and equivalent protocols to be implemented on the human scanner in Mexico for the project. We have also presented work entitled 'In Vivo MRI Monitoring of the Induction and Reversal of Non-Alcoholic Steatohepatitis in a Rat Model' at the ISMRM annual scientific meeting in 2018. The collaboration has produced abstracts for the European Association of Liver (2019) and International Society workshop on MRI (ISMRM) of obesity and metabolic disorders (2019), entitled 'Prevalence of non-alcoholic fatty liver disease in a Mexican pediatric population diagnosed non-invasively by multiparametric magnetic resonance imaging' and given poster presentations. The work, entitled 'Liver Magnetic Resonance Imaging, Non-Alcoholic Fatty Liver Disease and Metabolic Syndrome Risk in Pre-Pubertal Mexican Boys' was accepted for oral presentation at the British & Irish Chapter of ISMRM annual 2023 meeting. This work has also been submitted for publication in SciReports since April 2023. However, due to miscellaneous journal delays, the manuscript has been withdrawn and re-submitted to a specific call on non-alcoholic fatty liver disease in the same journal in Feb 2024.
Start Year 2017
 
Description PI with Mexican PI and team 
Organisation Autonomous University of Puebla
Country Mexico 
Sector Academic/University 
PI Contribution I provided expertise on obesity and fatty liver theory and advice on magnetic resonance and blood assay (inflammatory, metabolic, liver function) research methods. We (the whole research team minus the UK Co-I and UK RA), discussed possible molecules that may link the periphery with the central nervous system. We discussed the protocol for the project towards getting ethics for the children study to be performed in Mexico.
Collaborator Contribution My partners detailed the assays they were able to do as well as what cognitive testing was possible for the project so that we could finalise a protocol for the children study in Mexico and then to get ethical approval from King's College London. We also discussed access to the Hospital's MRI facilities for the study, where the children study will be performed.
Impact Abstracts have come from this partnership. The project has also enabled successful training of students to obtain BSc and MSc awards, and some are being trained for PhD. Outputs have been rather slow as the Covid situation, particularly in Mexico, was such that the research team was focused on dealing with the pandemic rather than generating outputs from the project.
Start Year 2016
 
Description PI with Mexican PI and team 
Organisation Federico Gómez Children's Hospital
Country Mexico 
Sector Hospitals 
PI Contribution I provided expertise on obesity and fatty liver theory and advice on magnetic resonance and blood assay (inflammatory, metabolic, liver function) research methods. We (the whole research team minus the UK Co-I and UK RA), discussed possible molecules that may link the periphery with the central nervous system. We discussed the protocol for the project towards getting ethics for the children study to be performed in Mexico.
Collaborator Contribution My partners detailed the assays they were able to do as well as what cognitive testing was possible for the project so that we could finalise a protocol for the children study in Mexico and then to get ethical approval from King's College London. We also discussed access to the Hospital's MRI facilities for the study, where the children study will be performed.
Impact Abstracts have come from this partnership. The project has also enabled successful training of students to obtain BSc and MSc awards, and some are being trained for PhD. Outputs have been rather slow as the Covid situation, particularly in Mexico, was such that the research team was focused on dealing with the pandemic rather than generating outputs from the project.
Start Year 2016
 
Description PI with Mexican PI and team 
Organisation University of Westminster
Department Department of Life Sciences
Country United Kingdom 
Sector Academic/University 
PI Contribution I provided expertise on obesity and fatty liver theory and advice on magnetic resonance and blood assay (inflammatory, metabolic, liver function) research methods. We (the whole research team minus the UK Co-I and UK RA), discussed possible molecules that may link the periphery with the central nervous system. We discussed the protocol for the project towards getting ethics for the children study to be performed in Mexico.
Collaborator Contribution My partners detailed the assays they were able to do as well as what cognitive testing was possible for the project so that we could finalise a protocol for the children study in Mexico and then to get ethical approval from King's College London. We also discussed access to the Hospital's MRI facilities for the study, where the children study will be performed.
Impact Abstracts have come from this partnership. The project has also enabled successful training of students to obtain BSc and MSc awards, and some are being trained for PhD. Outputs have been rather slow as the Covid situation, particularly in Mexico, was such that the research team was focused on dealing with the pandemic rather than generating outputs from the project.
Start Year 2016
 
Title multiparametric liver magnetic resonance imaging 
Description Multiparametric liver MRI has been used by Perspectum Diagnostics for non-invasive liver assessment in adults. Our collaboration has led to the generation of data from young children, of which little imaging data is available, that the company can use to understand the relationship between liver imaging measures with non-imaging liver and metabolic health assessments and substantiate the use of their liver imaging method to identify children at risk of developing severe disease, in particular liver disease, which often presents when metabolic health is impaired. 
Type Diagnostic Tool - Imaging
Current Stage Of Development Early clinical assessment
Year Development Stage Completed 2023
Development Status Under active development/distribution
Impact The study findings show the feasibility and value of undertaking liver imaging in children populations. 
URL https://www.perspectum.com/our-company/news/livermultiscan-shown-to-be-a-cost-effective-alternative-...
 
Title Automated segmentation of adipose tissue deposits from magnetic resonance images of the human body 
Description Using Convolutional Neural Networks to automatically segment subcutaneous and visceral fat in abdominal magnetic resonance images from humans without the need for high computer power. 
Type Of Technology New/Improved Technique/Technology 
Year Produced 2024 
Impact This would allow researchers to segment adipose tissue deposits in the human body without the need for high power computing resources using open sourced methods, thereby being accessible to all researchers, 
 
Description Oral presentation entitled 'The Iron Age' at the Universidad Autonoma Metropolitana (UAM) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Undergraduate students
Results and Impact As part of the current award, I went to Mexico to meet my Mexican collaborators.

I gave a talk entitled the 'The Iron Age' to mainly physics students from UAM, I spoke about the research that was performed in my BBSRC CASE studentship award. The talk sparked many questions and discussion afterwards. The outcome was to generate significant interest in the research, with many students expressing the desire to engage in this research and immensely keen to visit me in the UK. A number of them are also following me on Twitter.
Year(s) Of Engagement Activity 2016