The Resilient Brain. Imaging Biomarkers of Brain Metabolic Reserve

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

Abstract

This proposal aims to validate two innovative biomarkers of brain resilience to ageing. The biomarkers use two well-known and widely available imaging technologies, magnetic resonance imaging (MRI) and positron emission tomography (PET) that are presently used both in animals and humans.
The quest for biomarkers of ageing is a difficult one as their necessary requirement is prediction power - ideally, when studying an intervention aimed at modulating the ageing process, we would like to know its effect on the ageing trajectory as soon as possible without having to wait for the ageing process to eventually happen. In the case of brain, this can be achieved if we can measure its resilience - and the one relevant biological parameter determining the ability to withhold cellular pathology is its metabolic reserve.
Why metabolism? In the average adult human, the brain represents about 2% of the total body weight yet it accounts for 20% of all the energy consumed, 10 times that predicted by its weight alone. Note that this very high rate of energy consumption is required only by its resting state while the additional energy associated with any mental activity is remarkably small, often less than 5% of the baseline.
In this highly energetic organ, metabolic reserve is the amount of energy reserve that brain cells can still use to fight all those pathological phenomena that we call ageing. Big metabolic reserve will then mean great resilience to ageing, poor or no reserve means little or no resilience.
When measuring energy reserve we wish to target the functioning of small cellular organelles called mitochondria. There are two key observations about mitochondria.
1)They are the fundamental elements of the cellular machine performing aerobic respiration e.g. using oxygen to oxidise the products of glucose and convert them into energy.
2) The process of mitochondria maintenance is highly dynamic with a constant turnover of these components particularly the older and damaged ones.
We have focused on these two key aspects of mitochondrial function and devised two measures.
1) MEASURE 1 - We wish to measure mitochondrial respiratory reserve capacity by measuring oxygen cellular metabolism with MRI before and after a challenge with Methylene Blue (MB). MB is a compound, already authorized for human use, that induces substantial increases (>40%) in cell respiration. Using MB we can expand mitochondrial capacity to its limit, far more than using any mental task that requires very little incremental energy and is far less controllable in an experimental or clinical setting.
2) MEASURE 2 - We wish to measure the level of expression of one particular mitochondrial protein, called the 18Kd translocator protein or TSPO. TSPO regulates mitochondrial turnover and acts as a quality controller driving the process that removes defective mitochondria following damage or stress. Importantly TSPO levels can be measured in-vivo by PET in both animals and humans.
We will validate these measures by following through time two groups of rats. One group of rats will be submitted to an intervention which is known to benefit the brain ageing process and mitochondria function in particular. The treatment will consist in environmental enrichment and dietary restriction by which we will mimic human healthy lifestyle. During their lifetime, we will continuously monitor their cognitive ability using appropriate tests and we will verify whether our measures, taken early on, predict their mental decline.
Once validated, these measures will be extremely powerful tools for ageing research. They will shorten timings in experimental settings and will allow an optimal use of animals as they do not require animal sacrifice. They will be immediately translated to humans as both imaging technologies and the pharmacological challenge used have been separately validated and authorized for human use.

Technical Summary

The great challenge of ageing research stays in its inherent time-scale where the ideal biomarkers are those that can qualify treatments at baseline without having to wait for the degenerative process to take place. Here we are concerned with brain ageing and focusing on metabolism as the brain has, by far, the highest energy demands of any organ based on its size. Importantly, the brain works at the border of its energy envelope as the majority of this energy is used to support neuronal activity and functional processes and is little affected by task performance. The metabolic reserve theory indeed proposes that a brain that is metabolic efficient is more resilient to declining cognition. It is now established that lifestyle determinants of metabolic reserve promote neuroprotection by increasing brain metabolic efficiency and creating an energetic buffer that can be used by the cell to fight pathology.
Mitochondria are fundamental to the maintenance of cellular health but with age they lose capacity for efficient ATP generation. Damaged mitochondria are generally cleared by mitophagy and protects from ageing-associated degeneration. This leads us to propose two in-vivo measures of brain metabolic reserve:
1) Cerebral Oxygen Metabolic Reserve obtained by measuring oxygen metabolism with quantitative BOLD MRI before and after administration of methylene blue (MB), an inducer of metabolic respiration already approved for use in man. The use of MB will allow us to tap into cellular energetic buffers that would not be otherwise accessed by experimental tasks (e.g. sensory stimulation).
2) Density expression of the 18K Translocator Protein (TSPO). TSPO is a mitochondrial protein with a fundamental role in mitochondrial quality control that in man is visualized using Positron Emission Tomography.
Measures will be validated in a longitudinal setting to determine their potential to predict cognitive resilience in well-characterized models of healthy ageing.

Planned Impact

This proposal focuses on the validation of two novel measurements of brain metabolic reserve to be used in the study of ageing and neurodegenerative disorders in animal and, in the future, human models. This project, if successful, will have substantial and lasting impact.
The increasingly large ageing population places great pressure on the HEALTH AND SOCIAL CARE SYSTEMS. Currently 16% of the European population is over 65, with this figure to reach 25% by 2030. Effective and predictive biomarkers are key to develop therapies and products aimed at improving lifelong health and wellbeing. Effective biomarkers will allow INDUSTRIES to effectively accelerate the development of products aimed at the ageing population market and enable REGULATORY AGENCIES to test the anti-ageing treatments that are now flooding the market. These include, for example, some poorly validated interventions such as improving antioxidant status and hormone replacement therapies, including growth hormone, testosterone, dehydroepiandrosterone, and melatonin (Butler et al, Journal of Gerontology: Biological Sciences, 2004, Vol. 59A, No. 6, 560-567).
It is easy to predict the immediate translation of these methodologies also to the study of neurodegenerative disorders. These are conditions that result in the progressive degeneration or death of nerve cells. They include Alzheimer's disease and other dementias, Parkinson's disease, Huntington's disease, motor neuron disease and multiple sclerosis. In the UK it has been estimated that dementia alone costs the ECONOMY £17 billion pounds a year, hence any effective development in this area will impact not only patients but also CARERS, HEALTH PROFESSIONALS and SOCIETY AT LARGE.
The methodologies proposed are destined to be used on MRI and PET scanners for animal and human use. If effective, they will expand their number and their use of these existing technologies in research, industry and in the clinic making them more economically viable. Hence they will have direct impact on MEDICAL DIAGNOSTICS INDUSTRIES (General Electric, Siemens, Phillips, Bruker etc.).
Importantly, by targeting in-vivo biomarkers of mitochondrial function, we are working in a largely un-explored area of the neurosciences. In the recent past, concerns have existed about the growing number of companies disinvesting from neuroscience research in the UK. This has negatively impacted JOBS in this area and the UK ECONOMY at large. The tide has been turning recently with companies with long heritage in brain research such as Lily, Johnson and Johnson, Lundbeck and GSK supporting innovative programmes such as One Mind for research (1mind4research.org) to create a united effort to advance translational research for mental health between GOVERNMENT, ACADEMIA and INDUSTRY. We are already part of one Wellcome supported consortium that unites the organizations above for a strategic award in the area of dementias and mood disorders, all related to ageing, where the need for effective markers of brain bioenergetics is strongly felt.
Finally, it is worth remarking the unique nature of the proposing team with members working in an original setting that stretches from cellular biology to pharmacology, brain energetics, physics, engineering, nuclear imaging and psychology. The scientists and RAs working in this project will have a unique opportunity to expand their KNOWLEDGE BASE from cell biology to cognition, increasing their SKILL-SET in unprecedented fashion. As academics we will be able to communicate the hopefully successful return of this investment to our student population and to the PUBLIC.

Publications

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Title Neuroscience and Graphic Design 
Description This is a digital image library to improve peer-to-peer scientific graphical communication 
Type Of Art Artefact (including digital) 
Year Produced 2017 
Impact Linked to this initiative we organised a set of workshop to improve the creation of scientific and conceptual figures. A description of the event is reported here: https://neuroscience-graphicdesign.com/workshops/ 
URL https://neuroscience-graphicdesign.com
 
Description This proposal aims to validate innovative biomarkers of brain resilience to ageing. The biomarkers use two well-known and widely available imaging technologies, magnetic resonance imaging (MRI) and positron emission tomography (PET) that are presently used both in animals and humans. The quest for biomarkers of ageing is a difficult one as their necessary requirement is prediction power - ideally, when studying an intervention aimed at modulating the ageing process, we would like to know its effect on the ageing trajectory as soon as possible without having to wait for the ageing process to eventually happen. In the case of brain, this can be achieved if we can measure its resilience.
Specifically, we followed for two years two cohorts of rats, one with standard environmental and feeding conditions, the second one with environmental enrichment and dietary restriction by which we will mimic human healthy lifestyle. Two ageing biomarkers have been validated so far>
1) The mitochondrial protein TSPO, that is the target of widely used PET ligands, has been found predictive of mitochondrial degradation and neurodegeneration (Frison et al., 2021)
2) Using Machine Learning technology, we have built an automatic predictor that can accurately predict from structural data, the biological age of the animal (Brusini et al. in preparation)
Importantly, we have built a series of tools that will allow the use of MRI imaging in ageing research and in particular imaging templates for age classes that are key to the development of imaging tools in this area (MacNicol et al., 2021).
Work is still on-going to finalise this work as the study has only recently been completed.
Exploitation Route The data, tissue, imaging (structural and functional MRI) , behavioural, provide an incredible source of information for ageing research. The metadata, the templates and the methodologies developed instead provide the necessary infrastructure for future ageing research in these animal models
Sectors Healthcare,Pharmaceuticals and Medical Biotechnology

 
Description BBSRC-LiDO
Amount £100,000 (GBP)
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 10/2017 
End 09/2020
 
Title CMRO2 in Rodents 
Description Mean/standard deviation images of the fitted parameters under the two anaesthetics. Extracted ROI data in .csv format. ** Corrected in latest version. Jupyter Notebook with stats analysis. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://figshare.com/articles/dataset/CMRO2_in_Rodents/14199035/3
 
Title CMRO2 in Rodents 
Description Mean/standard deviation images of the fitted parameters under the two anaesthetics.Extracted ROI data in .csv format. ** Corrected in latest version.Jupyter Notebook with stats analysis. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://figshare.com/articles/dataset/CMRO2_in_Rodents/14199035
 
Title CMRO2 in Rodents 
Description Mean/standard deviation images of the fitted parameters under the two anaesthetics.Extracted ROI data in .csv format. ** Corrected in latest version.Jupyter Notebook with stats analysis. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://figshare.com/articles/dataset/CMRO2_in_Rodents/14199035/2
 
Title CMRO2 in Rodents 
Description Mean/standard deviation images of the fitted parameters under the two anaesthetics.Extracted ROI data in .csv format.Jupyter Notebook with stats analysis. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://figshare.com/articles/dataset/CMRO2_in_Rodents/14199035/1
 
Title NiRodents 
Description NiRodents intends to reliably adapt human-specific workflows for non-human data to improve translation between human and preclinical MRI by building congruence between the fields. It is an open-source Python package available on GitHub (nipreps/nirodents), released under an Apache License 2.0, and distributed via Pypi or Linux containers. 
Type Of Technology Software 
Year Produced 2020 
Open Source License? Yes  
Impact The first tool from NiRodents is artsBrainExtraction, which modifies the popular atlas-based brain extraction tool, antsBrainExtraction, for rodent MRI. It reliably extracts brains while being robust to heterogeneous data inputs, as it is agnostic to the imaging protocol, and can be extended to further image modalities and non-human populations. 
URL https://github.com/nipreps/nirodents
 
Title QIView 
Description An easy to use viewing tool that implements the "Dual-Coding" method presented in Data Visualization in the Neurosciences: Overcoming the Curse of Dimensionality, Allen et al Neuron 2012. 
Type Of Technology Software 
Year Produced 2017 
Open Source License? Yes  
Impact Better visualisation and interpretation of effect size and statistical significance for neuroimaging data. 
URL https://github.com/spinicist/qiview
 
Title fMRIPrep-Rodents 
Description fMRIPrep has induced a paradigm shift in neuroimaging by popularising a standard preprocessing workflow for human fMRI data that is reliable across studies, allowing researchers to focus on data analysis. fMRIPrep-Rodents adapt fMRIPrep's workflow to rodent imaging, providing preclinical researchers with the same paradigm shift. With fMRIPrep-rodents, researchers can use a well-established and robust preprocessing workflow that is optimised for rodents. 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
Impact fMRIPrep-rodents plans to extend standardised processing and provides confidence in data quality, which benefits the rodent imaging community, but also the larger neuroimaging community. By providing a tool that delivers a standardised pipeline for rodent fMRI preprocessing but is consistent with the tools used in humans, it will facilitate generalizability between rodent experiments, and greater consistency is expected for translational experiments. 
URL https://github.com/poldracklab/fmriprep-rodents