UCSF Hyperpolarized MR Seminar
Summer 2019, Lecture #8-2
"Integration into Biomedical Research - Neurological"
Lecturer: Lydia Le Page
Sponsored by the NIH/NIBIB-supported UCSF Hyperpolarized MRI Technology Resource Center (P41EB013598)
https://radiology.ucsf.edu/research/labs/hyperpolarized-mri-tech
3. Outline
Preclinical
- Healthy brain: developing and adult
- Disorders:
- Inflammation
- Neurodegeneration
- Probes with future potential
- Challenges
Clinical
- Healthy brain literature
- Current clinical trials
Future potential
4. Preclinical: Healthy brain: developing and adult
Chen et al. Developmental Neuroscience, 2016
Pyruvate to lactate conversion higher at younger
age, decreased linearly with increasing age – 8
normal mice
Age (days)
Rateofpyruvatetolactate
conversion(KPL)
Future potential – the brain in
healthy aging
Feasibility shown in rats, mice,
monkeys, and brain slices
Harris et al. Sci. Rep., 2016
5. Preclinical: Neurological disorders – inflammatory cells
Lactate:pyruvateratio
Control
Following treatment
with an NSAID
Inflammatory response to toxin
Sriram et al, Theranostics, 2018 Najac et al, Scientific Reports, 2016
Macrophages Myeloid-derived suppressor cells – inflammatory cells
involved in tumor development
Increased urea
production from
HP arginine in
inflammatory cells
Immune cells such as macrophage and microglia change their
metabolism when they are exposed to toxins
One type of response, classical activation of immune cells, involves
an increased production of lactate
6. Preclinical: Neurological disorders – in vivo inflammation
Le Page et al., NMR Biomed., 2019
Injection of toxin
Ipsilateral voxel
for spectral
analyis
Contralateral
voxel for
spectral analyis
Baseline 3 days 7 days
Microglia/macrophages
Astrocytes
Baseline 3 days 7 days
7. Preclinical: Neurological disorders – neuroinflammation in MS
Multiple sclerosis (MS)
Baseline Week 4
ControlMultiplesclerosis
Guglielmetti et al., PNAS, 2017
Lactate:pyruvate ratios
Upregulation of PDK1 in activated
microglia/macrophages in corpus callosum
in MS mice
Control Week 4
9. Preclinical: Neurological disorders – cognitive deficits
High-fat-diet induced cognitive deficits
Whole brain
Lactate/pyruvate
Time spent escaping a pool of
water was increased in HFD-
fed animals (6mo feeding)
Choi et al., Molecular Brain, 2018
10. Preclinical: Neurological disorders – acute liver failure
Brain metabolism changes in acute liver failure
Intracranial hypertension is a severe complication
Also brain edema is seen
(Lactate+alanine)/pyruvate
Acute liver failure
Chavarria et al., NMR Biomed, 2015
Control
6h 12h 6h 12h
11. Preclinical: Neurological disorders - memory
Memory acquisition and retrieval
Harris et al., eNeuro, 2019
Then administered DCA multiple
times 30 min before training
First looked at brain metabolism before
and 30min after DCA administration
Concluded DCA exposure during
training impaired long-term memory
12. Preclinical: Neurological disorders – probes with future potential in the brain
Dehydroascorbic acid -> vitamin C1
Acetoacetate2
C2 pyruvate3
Glucose4
Lactate5
Acetate6
Oxidative stress/redox status
TCA cycle disturbance
Reduced glucose metabolism
Changes in neuronal energy requirements
Astrocyte metabolism
1Qin et al, Scientific Rep., 2018
2Najac et al, Scientific Rep., 2019
3Park et al., NMR Biomed., 2013
4Mishkovsky, Scientific Rep., 2017
5Takado et al, ACS Chem. Neuro., 2018
6Mishkovsky, Cer. Blood Flow and Metab., 2012
13. Preclinical: Neurological disorders – challenges
Josan et al, MRM, 2012 ~ high and low doses of isoflurane ~ discussion of vasodilation with higher doses
Marjanska et al, NMR Biomed, 2018 ~ pentobarbital, isoflurane, α‐chloralose, and morphine
Miller et al, opened BBB with
mannitol in pigs
Peeters et al, opened BBB with
focused ultrasound in mice
Hurd et al, comparison of pyruvate
and ethyl pyruvate
Takado et al, BBB opened with
ultrasound, saw increased HP
lactate to pyruvate conversion
Dose of anesthesia
Crossing the blood brain barrier
Future: Cho et al. (ACS Chem Biol, 2019) – development of HP arginine probe applied in a restrained awake mouse
Pre-
mannitol
Post-
mannitol
Pyruvate Lactate
14. Clinical – neurological disorder trials in progress
Current information from clinicaltrials.gov:
- Small traumatic brain injury trial, C1, C2 pyruvate (16 total participants)
- Responsible party: Jae Mo Park
- C1 and C2 pyruvate feasibility study (28 participants, healthy brain maps) – to be
applied to cancer
- Responsible party: Jae Mo Park
- Brain imaging of healthy volunteers
16. Future - potential
- Discover the source of the HP signal – brain cell types?
- Technology can fit with existing methods for treatment monitoring
HP 13C MRS
MRI
1H
SPECTROSCOPY
BLOOD
SAMPLING
COGNITIVE
ASSESSMENT
PET
IMAGING
BIOPSIES
17. References
Manuscripts
Chen et al., doi: 10.1159/000439271
Harris et al., doi: 10.1038/s41598-018-27747-w
Sriram et al., doi: 10.7150/thno.24322
Najac et al., doi: 10.1038/srep31397
Le Page et al., doi: 10.1002/nbm.4164
Guglielmetti et al., doi: 10.1073/pnas.1613345114
DeVience et al., doi: 10.1038/s41598-017-01736-x
Guglielmetti et al., doi: 10.1038/s41598-017-17758-4
Choi et al., doi: 10.1186/s13041-018-0415-2
Chavarria et al., doi: 10.1002/nbm.3226
Harris et al., doi: 10.1523/ENEURO.0389-18.2019
Qin et al., doi: 10.1038/s41598-018-26296-6
Najac et al., doi: 10.1038/s41598-019-39677-2
Park et al., doi: 10.1002/nbm.2935
Mishkovsky et al., doi: 10.1038/s41598-017-12086-z
Takado et al., doi: 10.1021/acschemneuro.8b00066
Mishkovsky et al., doi: 10.1038/jcbfm.2012.136
Josan et al., doi: 10.1002/mrm.24532
Marjanska et al., doi: 10.1002/nbm.4012
Cho et al., doi: 10.1021/acschembio.8b01044
Hurd et al., doi: 10.1002/mrm.22364
Miller et al., doi: 10.1038/s41598-018-33363-5
Takado et al., doi: 10.1021/acschemneuro.8b00066
Figures
Macrophage: Wikimedia commons: File:Hematopoiesis (human) diagram en.svg
Mitochondria: http://remf.dartmouth.edu/imagesindex.html
Neuron:"Anatomy and Physiology" by the US National Cancer Institute's
Surveillance, Epidemiology and End Results (SEER) Program
Astrocyte: http://togotv.dbcls.jp/ja/pics.html
Brain, slide 11: By Henry Vandyke Carter - Henry Gray (1918) Anatomy of the
Human Body Bartleby.com: Gray's Anatomy, Plate 745, Public Domain,
https://commons.wikimedia.org/w/index.php?curid=541571
Manuscripts
Peeters et al., doi: 10.1021/acschemneuro.9b00085
Park et al., doi: 10.1002/mrm.27077
Autry et al., doi: 10.1002/mrm.27743
Mammoli et al., doi: 10.1109/TMI.2019.2926437
Grist et al., doi: 10.1016/J.NEUROIMAGE.2019.01.027
Editor's Notes
I will be describing some of the work done so far on how hyperpolarized MR is being applied to neurological biomedical research, not including cancer.
Why are we interested in the brain? There are many debilitating brain diseases that we don’t fully understand and therefore struggle to treat, such as those listed here.
There is obviously much active research to understand these diseases
Changes in metabolism are seen in disease progression, and so visualizing this both during progression and on treatment would be a valuable measurement, and may lead to mechanistic insights and new avenues of research, which might in themselves lead to new treatments
Hyperpolarized MRS has the potential fill this existing gap, in, as we’ve heard in previous lectures, its ability to provide measures of in vivo metabolism. In this talk, I will present examples from the current literature to give an idea of the breadth of this developing field, both preclinical and clinical. Relevant work I will talk about includes that in the healthy brain, in some brain disorders, and then also consideration of the challenges of the technique. Clinically, it is early days, but I will cover a few papers and the status of clinical trials.
Most of my discussion will be mentioning studies using HP pyruvate for this first section.
It is always going to be tricky to understand the brain in disease when there is so much to understand still in the healthy brain. Metabolic changes, for example in glucose metabolism, occur throughout life. This paper from UCSF in 2016 imaged mice from post-natal day 18 with hyperpolarized pyruvate, showing decreasing pyruvate to lactate conversion with age. They stated that lactate production was needed more at a younger age to support, amongst other things, neuronal fuel requirements, and this fit with the observation from MRS.
There is also potential here to study the healthy aging brain with hyperpolarized MRS, but I have not seen publications on this yet.
Feasibility of HP imaging has been shown in rats, mice and monkeys – further one technique worth highlighting here is tissue slices in the MR system, which has recently been applied in the brain. Rat brain slices showed metabolism of HP pyruvate, so could be used to gain mechanistic insights in a sensitive system from disease models.
Moving into disorders in the brain. One factor which is increasingly appreciated to play a role in several brain diseases such as Alzheimer’s and multiple sclerosis is inflammation. Inflammation has also been investigated in other fields such as liver inflammation, arthritis, and myocardial infarction but we're now starting to apply it in neurological disorders.
Immune cells such as macrophages and microglia, the resident immune cells in the brain, alter their metabolism when they are activated, such as when responding to a toxin. One type of response is the so-called classical activation, which involves an increased production of lactate.
This was exploited in Renuka’s work in Theranostics which used a macrophage inflammatory cell line to show the value of hyperpolarized MR – it was possible to detect the increased production of lactate after classical activation of the cells by a toxin – lipopolysaccharide. Subsequent treatment with an NSAID was also detectable by MRS.
Chloe Najac’s work with HP arginine exploited a characteristic of specific type of inflammatory cells – those involved in tumor development
She showed that the HP arginine probe could be used to distinguish between the inflammatory cells and control bone marrow cells, based on the levels of the relevant enzyme arginase and conversion of arginine to urea.
Moving in vivo! From our lab – we injected the same toxin as Renuka used in cells into one side of the mouse brain and used HP pyruvate to see if we could detect the inflammatory response. Here you see the injection site and the heat map of lactate, with red indicating higher signal. This was seen alongside increased staining for immune cells microglia, macrophages and astrocytes.
To help us understand better the direct links between brain inflammation and the HP signal, we can look at further work from our group. This paper led by Caroline Guglielmetti applied HP MRS to a mouse model of multiple sclerosis, again showing increased pyruvate to lactate conversion in the disease model. Activated microglia and macrophages were seen, alongside increased PDK1, which inhibits oxidative metabolism via pyruvate dehydrogenase.
This study is cool because then, an MS model with a specific genetic background was generated which meant that microglia/astrocytic activation was inhibited – and in this case, the increased pyruvate to lactate signal was no longer observed, giving strong support to a causal link.
Traumatic brain injury is another neurological disorder with many unanswered questions; a limited understanding of the processes occurring, and no real treatments available.
Two preclinical studies thus far have begun to apply HP MRS, using mouse models involving cortical impact. Returning to the inflammation aspect, a study from our lab first showed lactate:pyruvate ratios increasing after injury. Then, to investigate the inflammatory links, a drug was given to deplete the microglia…the increased lactate was no longer observed!
An important second study by DeVience et al also showed increased lactate, adding decreased bicarbonate, from HP pyruvate following impact. A strength of imaging really shines through in these studies – the ability to image longitudinally provides very valuable datasets.
There are a few other initial studies into interesting aspects of brain metabolism in disease, which really confirm the broad possibilities for HP applications. The change in lactate to pyruvate ratio (or lactate+alanine in one of the studies) is still the output from these works – in a high-fat-diet model with cognitive deficits, a liver failure model with effects on the brain, and in a study of memory
Starting with this first study, the authors used a high-fat-diet that caused cognitive deficits. These animals showed an increase in time to find the escape platform in a pool of water following training – this is a measure of memory. I’ve put a typical display here – the lines are the paths of the mouse.
This was then coupled with observation of increased lactate/pyruvate ratios in the brain!
The second study here used a model of acute liver failure where intracranial hypertension is a severe complication.
These authors could distinguish between the liver failure model and the controls, when they used HP MRS to look in the brain
They saw increased (lactate+alanine) 12h after induction of acute liver failure, compared to no increase in control animals.
This last in vivo preclinical study by Harris investigated memory and metabolism. They treated animals with dichloroacetic acid (DCA), stimulating oxidative glucose metabolism. They imaged before and 30 minutes after DCA treatment, and saw this decreased lactate production.
They then administered DCA multiple times, always 30 minutes before training - the same training as in the first study, the paltform in the pool of water - and looked at how long the mice took to find the platform. The DCA animals took longer and they concluded that DCA exposure during training impaired long-term memory.
The first and last studies here show especially interesting integration into neurology, given their performing of HP MRS alongside behavioral studies: widely used in the neurology community.
As we’ve learnt previously, there are many challenges to overcome when it comes to developing novel HP probes, which is a key target if the technology is to reach its full potential. Listed here are some probes in the literature that have been developed and hold potential for assessing neurological changes.
It would be super to be able to image these targets of oxidative stress, TCA cycle disturbance, reduced glucose metabolism and changes in specific brain cell energy requirements, such as neurons and astrocytes. Hopefully some of these probes can help us achieve that goal.
Some of these are further along than others, for example DHA, which was recently shown to provide viable data in the rat brain, with the readout responding to treatment.
Further significant challenges exist which should definitely be taken into consideration when planning future neurological studies. I will mention two of the great challenges here:
The first is the dose of anesthesia – widely used for the majority of animal studies but which will have an effect on metabolism. Not limited to the brain, this issue has been investigated previously albeit no particular solution is available just yet. Isoflurane has a vasodilation effect, discussed in this first paper, enabling more pyruvate entry.
Further in Marjanska’s work pyruvate to bicarbonate conversion was seen to be greatest when using morphine of these anesthetics.
One interesting progression was seen in this recent paper by Cho and colleagues who performed studies with no anesthesia, only restraining the animal – this would be a very interesting method to implement widely, but does require training before imaging. We would also need to ensure that the stress response is negligible and not affecting our data.
For the brain, one of the other biggest issues is ensuring that the HP probes cross the blood brain barrier. The blood brain barrier is a cell border between the external vasculature and the brain, which prevents, for example, pathogens getting into the brain. It does also limit the passage of drugs, and our probes. A few studies have demonstrated this limitation, shown here, and this must be taken into consideration when analyzing data or developing new probes.
This image is from Jack Miller's paper where they show lactate production in the pig brain only after opening the blood brain barrier with mannitol.
The other papers here explore a more lipophilic alternative to pyruvate, and opening the blood brain barrier with ultrasound.
Further, it is important to establish whether changes in BBB permeability occur due to treatment or disease, as this can affect the interpretation of data.
Despite the recency of HP work moving into the neurological field, there are already clinical trials recruiting and ongoing, alongside obviously the multiple cancer trials.
I'd like to highlight two at UT Southwestern (Dallas, Texas) – the first involving patients who have had a recent (<10 days) traumatic brain injury. They will image using both C1 and C2 pyruvate. So it will be super exciting to see these data!
A second trial they're carrying out at UT Southwestern is a healthy brain study, again using C1 and C2 pyruvate.
The healthy brain data is obviously vital, as I mentioned at the beginning, and there is also a healthy brain study occurring here at UCSF.
To support the clinical studies, descriptions of hardware, potential protocols, proof of concept studies, and data analysis methods have begun to be published with respect to human brain data.
Work in this area previously applicable to imaging brain cancer patients can obviously be translated to some extent to these neurological diseases, such as work which showed feasibility of metabolic measurements in paediatric brain tumor patients, presented at ISMRM last year.
A small published study from the UK in 4 healthy human volunteers showed clearly visible pyruvate, lactate and bicarbonate signal, as shown in this image. They noted more signal overall (of all metabolites) seen in the gray matter than the white matter of the brain. This really highlights again the need to understand the differences between preclinical models and humans given their previous work showing a lack of lactate signal in the pig brain without opening the blood brain barrier, whereas here lactate signal is seen with no intervention.
One important question that needs answering is when imaging the brain as a whole, do we really understand where the signal is coming from?
And, because the answer is not yet, can we work to distinguish which brain cells types are majoritively contributing to the signal of, for example, lactate?
But, as with other fields such as cancer, there is great potential for HP MRS to contribute to treatment monitoring in several neurological disorders. If we can overcome the challenges presented, and provide valuable monitoring data, we may discover hints for understanding the underlying mechanistic changes, which may lead to new treatments.