eBriefing

Neuroplasticity, Neuroregeneration, and Brain Repair

Neuroplasticity, Neuroregeneration, and Brain Repair
Reported by
Alla Katsnelson

Posted November 14, 2017

Alla Katsnelson is a freelance science writer and editor, specializing in health, biomedical research, and policy. She has a doctorate in developmental neuroscience from Oxford University and a certificate in science communication from the University of California, Santa Cruz, and writes regularly for scientists and non-scientists alike.

Presented By

Eli Lilly and Company

The New York Academy of Sciences

Many promising strategies for promoting neuroregeneration have emerged in the past few years, but a further research push is needed for these ideas to be translated into therapies for neurodegenerative diseases. On June 13–14, a symposium presented by Eli Lilly and Company and the New York Academy of Sciences brought together academic and industry researchers working on multiple neurodegenerative diseases as well as clinicians and government stakeholders to discuss cutting edge basic and clinical research on neuroregeneration and neurorestoration. Topics included neuronal plasticity, inflammation, glial cell function, autophagy, and mitochondrial function, as well as analysis of recent drug development failures and how to move forward from them.

Sponsors

Presented by

Astrocytes in CNS Repair; Disease-Modifying Therapies in the Pipeline

Speakers

Eric Karran

AbbVie

Highlights

Astrocyte scar formation is not detrimental to neuronal regeneration and repair after injury but is in fact critical to the healing process.

The clinical pipeline in Alzheimer’s disease is dominated by amyloid beta-targeting compounds, despite the fact that the approach has not been successful to date.

Astrocytes in CNS Repair

In his keynote talk, Michael V. Sofroniew of the University of California, Los Angeles, described 25 years of work on the overlooked and misunderstood role of astrocytes in the central nervous system (CNS).

These glial cells were discovered in the 19th century, and researchers widely believed that their activation after injury—which often results in scar formation around the lesion—detrimentally affects recovery. “But one has to ask, why would nature conserve this response to injury across all mammalian species if it were purely detrimental?” Sofroniew said.

Astrocytes can play fundamentally different roles in the CNS. In healthy tissue, they help synapses take up and release neurotransmitters and other factors, and help maintain neuronal energy balance and blood flow in surrounding tissue. Their activation in response to damage differs depending on whether recovery requires neurons to grow through lesioned tissue or through intact neural tissue.

Two different phenotypes of reactive astrocytes occur after injury.

Astrocytes responding to injury exist in different phenotypes:  a hypertrophic reactive form interacts with neural cells, and a scar-forming reactive form interacts with non-neuronal inflammatory and fibrotic cells. Researchers are just beginning to define the function of hypertrophic astrocytes, but Sofroniew and his colleagues hypothesize that they represent a beneficial gain of function—helping injured neurons make new synapses and reorganize damaged circuits. Much remains to be learned about this process, he said.

Ongoing research from Sofroniew’s lab suggests that scar-forming astrocytes have a different, also beneficial function: recruiting inflammatory cells into the tissue, regulating their activity, and restricting their spread outside the lesion. Inflammation is crucial for getting rid of damaged cells, but too much of it damages surrounding intact tissue.

When neural tissue is injured, astrocytes recruit cells to scavenge damaged tissue. Somehow, astrocytes sense where the border between damaged and healthy tissue should be and wall off the injury with scar tissue. Sofroniew and others have shown that disrupting scar formation causes neurons in surrounding tissue to die.

Entrenched dogma in the field, however, says that astrocyte scar formation prevents axon regeneration. Twenty years ago, Sofroniew’s lab first tested whether disrupting scar formation in mice would spur injured axons to spontaneously regenerate. Their results showed that it didn’t, but the findings went against current dogma so the team never published them. When a researcher interested in the question joined the lab recently, they began exploring the question again, using two mouse models with mutations that prevent scar format

After a spinal cord injury, sensory axons stimulated with growth factors can regrow despite astrocyte scar formation.

They showed that axons in three different types of CNS tracts failed to regrow in the mutant mice. Both astrocytes in lesions, along with other, non-astrocyte cells, all produced a variety of molecules both promoting and inhibiting axonal growth, underscoring the multi-component nature of regeneration. And axons that received appropriate stimulatory molecules “grow happily across astrocyte scars,” he said. The group is now confirming the result in additional types of CNS tracts. Sofroniew concluded that astrocyte reactivity and scar formation are not forms of astrocyte dysfunction, but adaptive functions critical for CNS repair and regeneration after injury.

Disease-Modifying Drugs for Alzheimer’s Disease: An Industry Perspective

The 1990s were a rich decade of discovery in Alzheimer’s disease, said Eric Karran of the pharmaceutical company AbbVie. Researchers identified disease-causing autosomal dominant mutations in the amyloid precursor protein presenilin and in tau. The field began to uncover key mechanisms and targets, and many believed that the next decade would yield effective therapeutics. However, that has not transpired, and many uncertainties about Alzheimer’s disease drug development remain.

Researchers still puzzle over the relationship between tau pathology and amyloid beta deposition. And while evidence suggests that Apolipoprotein E (ApoE) is closely involved in amyloid beta pathology, the mechanistic details remain mysterious. Nonetheless, research on the autosomal dominant mutations has geared drug discovery toward the idea that amyloid deposition initiates the disease process. Yet it is not clear that amyloid beta is an effective target for people who already have symptoms of Alzheimer’s disease.

Three questions are critical for therapeutics targeting amyloid: at what stage of the disease is such a drug most likely to be effective, by how much should amyloid beta be lowered or its clearance be facilitated, and what kind of clinical experiment will test the validity of the amyloid cascade hypothesis.

Karran made a distinction between onset and duration of the disease. Possibly, amyloid beta deposition initiates the disease, he said, but is not the factor that drives its progression. The amyloid cascade hypothesis has many permutations, making proving or disproving it particularly difficult. One clear sign of this is the multiple failed trials that targeted amyloid beta. Lilly’s solanezumab seemed to show a mild effect on cognitive decline, but the signal was too small for a phase 3 trial. One currently promising candidate is Biogen’s aducanumab, which showed time- and dose-dependent reduction of amyloid plaques in early stage trials.

Tau binpathology correlates with disease progression, but amyloid does not.

A drug that intervenes with the onset and spread of tau pathology could potentially have therapeutic value relatively late in disease. Tau pathology is the most proximate marker for neuronal loss and cognitive impairment. Tau proteins are released by a currently unknown mechanism; how they are seeded and travel to distant neurons is also poorly understood. The process points to several points of interventions, such as anti-tau antibodies targeting seeds or fibrils. However, early efforts at tau therapeutics have failed.

Speaker Presentation

Astrocytes in CNS Repair and Regeneration


Michael Sofroniew (David Geffen School of Medicine, ULA)

Further Readings

Michael Sofroniew

Anderson MA, Burda JE, Ren Y, Ao Y, O'Shea TM, Kawaguchi R, Coppola G, Khakh BS, Deming TJ, Sofroniew MV.

Nature. 2016 Apr 14;532(7598):195-200. doi: 10.1038/nature17623. Epub 2016 Mar 30.

Burda JE, Sofroniew MV.

Neuron. 2014 Jan 22;81(2):229-48. doi:10.1016/j.neuron.2013.12.034. Review.

Khakh BS, Sofroniew MV.

Nat Neurosci. 2015 Jul;18(7):942-52. doi: 10.1038/nn.4043.

Sofroniew MV.

Nat Rev Neurosci. 2015 May;16(5):249-63. doi: 10.1038/nrn3898. Review. Erratum in: Nat Rev Neurosci.

Eric Karran

Braak H, Del Tredici K.

Alzheimers Dement. 2012 May;8(3):227-33. doi: 10.1016/j.jalz.2012.01.011. Epub 2012 Mar 30.

Braak H, Thal DR, Ghebremedhin E, Del Tredici K.

J Neuropathol Exp Neurol. 2011 Nov;70(11):960-9. doi: 10.1097/NEN.0b013e318232a379.

Gauthier S, Feldman HH, Schneider LS, Wilcock GK, Frisoni GB, et al.

Lancet. 2016 Dec 10;388(10062):2873-2884. doi: 10.1016/S0140-6736(16)31275-2.

Karran E, De Strooper B.

J Neurochem. 2016 Oct;139 Suppl 2:237-252. doi: 10.1111/jnc.13632.

Dendritic Spines, Axons, and Synapses in Neuroplasticity

Speakers

Richard Tsien

New York University Langone Medical Center

Roman J. Giger

University of Michigan School of Medicine

Jeffrey Macklis

Harvard University

Highlights

Neuronal cell bodies regulate events at the synapse via the CamKII singalling pathway.

Imperfect adaptation to the gradual loss of dopaminergic neurons in the striatum drives Parkinison’s disease symptoms

Dectin1, a receptor expressed on the surface of macrophages, mediates a neuroregenerative immune response after injury.

Growth cones may contain autonomous machinery for building the neuronal circuitry of the brain.

Regulation of Synapses and Synaptic Strength

Understanding the neural circuitry underlying learning and memory requires understanding how neurophysiological events at the synapse are integrated with molecular events in the nucleus such as gene transcription and protein translation, said Richard Tsien of New York University. At the synapse, this process depends on the combined activation of glutamate receptors and so-called L-type calcium channels. Tsien’s lab discovered that such dual activation is coordinated by the mobilization of a molecule called CamKII—known to be a key player in learning and memory—around tiny protrusions from dendrites called dendritic spines.

Tsien and his colleagues then elucidated how the signal from this synaptic activity is conveyed to the nucleus. Two of the four known forms of CamKII do their jobs at the synapse, but a third form, called gamma CamKII, shuttles calcium and its binding partner calmodulin to the nucleus, where it initiates a signaling cascade that drives the transcription of genes involved in long-term potentiation, a key molecular mechanism underlying learning and memory. Mice mutated to lack gamma-CamKII showed reduced learning and memory and did not upregulate key genes after training in memory tasks.

Mice mutated to lack gamma-CamKII showed reduced learning and memory and did not upregulate key genes after training in memory tasks.

A mutation in gamma CamKII has been linked to intellectual disability in humans; studies on this human mutation revealed that it prevented the protein’s ability to shuttle calcium / calmodulin. Mutations in multiple proteins on this CamKII signaling pathway have been causally implicated in neuropsychiatric disorders such as autism, pointing to its importance in linking neuronal activity with nuclear processes.

Striatal Plasticity in Parkinson’s Disease

The core motor symptoms of Parkinson’s disease (PD) are caused by the loss of dopaminergic neurons in a brain region called the striatum. James Surmeier of Northwestern University described his lab’s research on how the two main pathways of the striatum—the direct (dSPN) and the indirect (iSPN) pathway—maintain homeostasis as the disease progresses.

Dopaminergic signaling in the striatum helps regulate goal-directed behaviors. The dSPN promotes desired actions, while the iSPN suppresses undesired actions, and the two must remain balanced for appropriate action selection to occur. Dopamine helps provide that balance. When its levels are high, it promotes long-term potentiation (LTP) of the dSPN (increasing choice of good actions) and long-term depression (LTD) of the iSPN (limiting opposition to them). When levels fall, the opposite occurs, quashing the selection of “bad” actions. Surmeier’s lab studies what drives LTP and LTD at these synapses by visualizing them. Only a subset of synapses are responsive to dopamine, they found.

Dopamine differentially affects the dSPN and iSPN via D1 and D2 receptors.

According to the standard model of Parkinson’s, loss of striatal neurons changes the excitability of the dSPN and iSPN, leading to suppression of motor activity. However, this model fails to account for how the system might compensate for its gradual deterioration. Such compensation may explain why the striatum must lose more than 60% of its dopaminergic cells before a person shows symptoms of the disease, Surmeier said. His work instead suggests that the dSPN and iSPN undergo a more graded but imperfect adaptation to the loss of dopaminergic innervation which distorts the information that these pathways receive, and which may cause deficits in goal-directed behavior before gross motor symptoms appear.

Immune-mediated Nervous System Regeneration

There is no spontaneous regeneration after nerve injury in the central nervous system. That is probably because extrinsic factors exist that block regeneration intrinsic factors that promote it are not activated, said Roman J. Giger of the University of Michigan School of Medicine. However, some types of inflammation can activate such regeneration factors.

His team found that an injection of zymosan (a mixture of proteins and carbohydrates prepared from the yeast cell wall) induced significant long-distance regeneration after optic nerve injury in mice, while the bacterial extract lipopolysaccharide did not. He and his colleagues found that this regenerative antifungal response is mediated primarily by a dectin-1, a receptor for a substance called beta glucan, which is expressed on the surface of macrophages and other immune cells, as well as by the immune recognition protein Toll-like receptor 2 (TLR2).

They also found this mechanism in spinal cord regeneration, as tested after a so-called conditioning injury to the sciatic nerve (which activates immune response genes) followed by a spinal cord lesion at the dorsal root ganglion. Wild type mice showed significant spinal cord axon regrowth after zymosan injection, while mice engineered to lack dectin-1 or TLR2 showed none.

Wild type mice showed significant spinal cord axon regrowth after zymosan injection, while mice engineered to lack dectin-1 or TLR2 showed none.

The researchers then tried to pinpoint which immune cell types produced dectin-1, and where it had to be localized to spur regeneration. They found that immune cells from the sciatic nerve—that is, the conditioning lesion—carried the signal. Although mice lacking dectin showed no regeneration, immune cells from the lesioned sciatic nerve of a wild type mouse transplanted into the dectin-1 knockout mouse could rescue this deficit.

Growth Cone Control over Circuit Development

Building the brain’s neuronal circuitry is enormously complex endeavor: neurons exist in a multitude of diverse subtypes, they project to precise sompatotopic targets, and some send projections to more than one specific location. Projections can be up to a meter in length – some 10,000 cell body diameters away. The system’s precision is astounding, said Jeffrey Macklis of Harvard University, and being able to rebuild circuits when they go awry is key to regeneration in the face of injury or disease.

Macklis described work showing that the transcriptional machinery that generates this complexity is present not just in the neuronal cell body, but also in growth cones located at the tips of projections as they extend. His lab has found that growth cones contain locally translated proteins, suggesting that these neuronal outposts might exert autonomous control over circuit development. “As a developmentalist, I view growth cones as little baby synapses,” Macklis said.

Immature axons transplanted in the developing mouse still project to their original, appropriate targets, suggesting a logic and subtype specificity to the process. Macklis’s lab came up with an approach to label and isolate growth cones from different neuronal subtypes. They found specific protein and RNA enriched at growth cones that was not present in the neuronal cell body, suggesting a localized projection machinery. Targeting this machinery could be an important strategy for promoting regeneration.

Speaker Presentations

Striatal Adaptations in Parkinson's Disease


James Surmeier (Feinberg School of Medicine, Northwestern University)

Further Readings

Richard Tsien

Deisseroth K, Heist EK, Tsien RW.

Nature. 1998 Mar 12;392(6672):198-202.

Li B, Tadross MR, Tsien RW.

Science. 2016 Feb 19;351(6275):863-7. doi: 10.1126/science.aad3647.

Ma H, Groth RD, Cohen SM, Emery JF, Li B, Hoedt E, Zhang G, Neubert TA, Tsien  RW.

Cell. 2014 Oct 9;159(2):281-94. doi: 10.1016/j.cell.2014.09.019.

James Surmeier

Gerfen CR, Surmeier DJ.

Annu Rev Neurosci. 2011;34:441-66. doi: 10.1146/annurev-neuro-061010-113641. Review.

Surmeier DJ, Graves SM, Shen W.

Curr Opin Neurobiol. 2014 Dec;29:109-17. doi: 10.1016/j.conb.2014.07.008. Epub 2014 Jul 22.

Surmeier DJ, Obeso JA, Halliday GM.

Nat Rev Neurosci. 2017 Jan 20;18(2):101-113. doi:10.1038/nrn.2016.178. Review.

Thiele SL, Chen B, Lo C, Gertler TS, Warre R, Surmeier JD, Brotchie JM, Nash JE.

Neurobiol Dis. 2014 Nov;71:334-44. doi: 10.1016/j.nbd.2014.08.006. Epub 2014 Aug 27.

Roman Giger

Baldwin KT, Carbajal KS, Segal BM, Giger RJ.

Proc Natl Acad Sci USA. 2015 Feb 24;112(8):2581-6. doi: 10.1073/pnas.1423221112. Epub 2015 Feb 9.

Jeffrey Macklis

Arlotta P, Molyneaux BJ, Chen J, Inoue J, Kominami R, Macklis JD.

Neuron. 2005 Jan 20;45(2):207-21.

Cederquist GY, Azim E, Shnider SJ, Padmanabhan H, Macklis JD.

J Neurosci. 2013 Apr 10;33(15):6321-32. doi: 10.1523/JNEUROSCI.5140-12.2013.

Inflammation, Oxidative Stress, Mitochondrial Function, and Autophagy

Speakers

Highlights

Fasting and exercise exert protective effects on the brain and improve the bioenergetics properties of neurons.

Activators of a selective autophagy process may help clear aggregating proteins implicated in neurodegenerative disease.

A key cluster of Parkinson’s disease proteins regulate mitochondrial biogenesis and function.

Bioenergetic Challenges Bolster Brain Resilience

Mark P. Mattson of the National Institute of Aging described how two bioenergetics challenges—food deprivation and exercise—affect brain health. The ability to function under conditions of food deprivation is the main driving force in brain evolution, he said: Fasting was frequent, and it drove humans to search for food. Aging is a major risk factor for dementia and stroke, but sedentary lifestyles contribute as well, by compromising cells’ ability to adapt to the molecular stresses of aging.

Increased exercise is known to boost brain levels of the neuroprotective factor BDNF, and early work in Mattson’s lab found that fasting has the same effect in mice. Also, in mice genetically engineered to be obese and diabetic, alternate day fasting and increased exercise on a running wheel increased the density of synaptic spines in their brain. Further work showed that fasting and exercise also increased the number of mitochondria—the cell’s energy-generating organelles—in cultured hippocampal neurons.

The brains of mice lacking Sirt3 experience more cell death (blue) due to [missing word?] upon excitotoxic treatment with glutamate, kainic acid, and NMDA.

More recently, Mattson’s lab found that exercise and intermittent fasting upregulate a mitochondrial protein called sirtuin 3 (sirt3), which goes on to block enzymes that protect the mitochondria against stress and protect cells against apoptosis. The group has also explored the effects of fasting in humans. Currently, the group is studying whether people at risk for cognitive impairment due to age or metabolic status benefit from fasting two days per week.

Malfunctioning Autophagy Pathways in Neurodegeneration

Autophagy is the process of degradation or recycling of materials inside the cell, and many facets of it are coming under scrutiny as causal factors in neurodegeneration. Ana Maria Cuervo of the Albert Einstein College of Medicine studies chaperone-mediated autophagy (CMA), in which individual proteins targeted with a degradation motif are recognized by a chaperone protein, carried to a receptor called LAMP-2A on the lysosome surface, and pulled inside for degradation. In order to study the role of CAM in neurodegeneration, Cuervo’s lab designed a fluorescent reporter system that can track the process in vivo, in the brain and other organs.

A fluorescent reporter technique developed by Cuervo lab allows researchers to observe chaperone-mediated autophagy in different tissues of a live mouse.

The CAM pathway is highly sensitive to aging; levels of the LAMP-2A receptor drop as animals age. Additionally, many proteins involved in neurodegenerative diseases have CMA degradation motifs. The mutant form of LRRK2, the protein most often mutated in familial cases of Parkinson’s, interferes with LAMP-2 receptor’s ability to form complexes as required for translocation into the lysosome; other neurodegeneration-related proteins, such as tau, showed a similar effect, which led to an aggregation of these proteins due to their inability to be broken down inside the lysosome. Human postmortem Alzheimer’s disease brains also appear to have a CMA deficit.

The lab has now developed a selective activator of the CAM pathway and is administering it to a mouse model of Alzheimer’s disease. The intervention ameliorates behavioral symptoms such as anxiety, depression, and visual memory in the animals, as well as cellular markers of the disease.

Mitochnodrial Mechanisms and Therapeutic Opportunities

Mitochondrial dysfunction was first observed in Parkinson’s disease some 40 years ago, but how it plays a role in the disease is unknown. Some genetic causes of PD have been identified, including mutations in Parkin and PINK1. Valina L. Dawson’s lab at Johns Hopkins University is investigating how three closely interacting proteins, Parkin, PINK1, and PARIS, regulate mitochondrial function and, in turn, the integrity of dopaminergic neurons, which malfunction in PD.

In 2011, Dawson’s lab identified PARIS, a protein that tamps down mitochondrial production by repressing another protein called PGC1-alpha. PARIS is ubiquitinated by Parkin to remove the brake on mitochondrial production. Mice genetically engineered to lack Parkin show age-dependent loss of dopaminergic neurons and serve as a model of PD. But if these mice also experience a knock-down in PARIS, the deficit is rescued. Loss and gain of function studies of these proteins in mice revealed a homeostasis between them that regulates mitochondrial biogenesis and function. Pink1 is also central; it must phosphorylate Parkin for this homeostasis to occur.

In human neuron lacking Parkin, knocking down PARIS restores mitochondrial deficits.

The relationships between these proteins also hold in human embryonic stem cells when these proteins are knocked down, and in induced pluripotent cells derived from Parkinson’s patients with mutations in these proteins. Based on these findings, Dawson’s team and collaborators are exploring whether PARIS inhibitors, Parkin activators, or other molecules affecting this protein network have therapeutic value in PD mice.

Speaker Presentations

Malfunctioning of Autophagy and Its Pathway to Neurodegeneration


Ana Maria Cuervo (Albert Einstein College of Medicine)

Mitochondrial-linked Mechanisms & Therapeutic Opportunities


Valina L. Dawson (Johns Hopkins University)

How Intermittent Bioenergetic Challenges Bolster Brain Resiliance


Mark Mattson (National Institute of Aging

Further Readings

Mark Mattson

Cheng A, Yang Y, Zhou Y, Maharana C, Lu D, Peng W, Liu Y, Wan R, Marosi K, Misiak M, Bohr VA, Mattson MP.

Cell Metab. 2016 Jan 12;23(1):128-42. doi: 10.1016/j.cmet.2015.10.013. Epub 2015 Nov 19.

Mattson MP.

Cell Metab. 2012 Dec 5;16(6):706-22. doi: 10.1016/j.cmet.2012.08.012. Epub 2012 Nov 15. Review.

Mattson MP, Longo VD, Harvie M.

Ageing Res Rev. 2016 Oct 31. pii: S1568-1637(16)30251-3. doi: 10.1016/j.arr.2016.10.005. [Epub ahead of print] Review.

Stranahan AM, Arumugam TV, Cutler RG, Lee K, Egan JM, Mattson MP.

Nat Neurosci. 2008 Mar;11(3):309-17. doi: 10.1038/nn2055. Epub 2008 Feb 17.

Ana Maria Cuervo

Anguiano J, Garner TP, Mahalingam M, Das BC, Gavathiotis E, Cuervo AM.

Nat Chem Biol. 2013 Jun;9(6):374-82. doi: 10.1038/nchembio.1230. Epub 2013 Apr 14.

Cuervo AM, Stefanis L, Fredenburg R, Lansbury PT, Sulzer D.

Science. 2004 Aug 27;305(5688):1292-5.

Koga H, Martinez-Vicente M, Arias E, Kaushik S, Sulzer D, Cuervo AM.

J Neurosci. 2011 Dec 14;31(50):18492-505. doi: 10.1523/JNEUROSCI.3219-11.2011.

Orenstein SJ, Kuo SH, Tasset I, Arias E, Koga H, Fernandez-Carasa I, Cortes E,
Honig LS, Dauer W, Consiglio A, Raya A, Sulzer D, Cuervo AM.

Nat Neurosci. 2013 Apr;16(4):394-406. doi: 10.1038/nn.3350. Epub 2013 Mar 3.

Wong E, Cuervo AM.

Nat Neurosci. 2010 Jul;13(7):805-11.

Valina Dawson

Shin JH, Ko HS, Kang H, Lee Y, Lee YI, Pletinkova O, Troconso JC, Dawson VL, Dawson TM.

Cell. 2011 Mar 4;144(5):689-702. doi: 10.1016/j.cell.2011.02.010.

Stevens DA, Lee Y, Kang HC, Lee BD, Lee YI, Bower A, Jiang H, Kang SU, Andrabi SA, Dawson VL, Shin JH, Dawson TM.

Proc Natl Acad Sci USA. 2015 Sep 15;112(37):11696-701. doi: 10.1073/pnas.1500624112. Epub 2015 Aug 31.

Lee Y, Stevens DA, Kang SU, Jiang H, Lee YI, Ko HS, Scarffe LA, et al.

Cell Rep. 2017 Jan 24;18(4):918-932. doi: 10.1016/j.celrep.2016.12.090.

Glial Function

Speakers

Highlights

Glial cell dysfunction may causally contribute to schizophrenia and other neurological diseases.

Astrocytes engineered to produce GDNF are in clinical trials for treating amyotrophic lateral sclerosis.

Astrocytes are functionally and regionally heterogeneous, and their dysfunction may contribute to neurodegenerative disease.

Targeting Glial Cell Dysfunction in Neurological Disease

Glial cells make up a significant proportion of cells in the brain, yet their contribution to disease is poorly understood. Steven A. Goldman of the University of Rochester Medical Center studies glia’s role in brain diseases such as schizophrenia. His lab injects human glial progenitor cells into the brains of mutant mice that lack their own glia; the brains of the resultant chimeras become fully repopulated with human astrocytes and oligodendrocytes. This human glial chimera maintains the phenotypes of human glial cells, and mice with human glia show stronger long-term potentiation in the hippocampus and learn fear-conditioning and other behavioral and cognitive tasks more quickly than wildtype mice.

Astrocytes in mice populated by glial cells derived people with schizophrenia had different morphology than those derived from control subjects, with fewer and longer processes.

Goldman’s team created chimeric mice populated by glia derived from eight different people with juvenile onset schizophrenia, and compared them to mice with glial cells derived from control subjects. These glial precursor cells migrated abnormally and formed less myelin than precursors from control human subjects. Myelin-producing and glial differentiation genes, as well as genes associated with synaptic development and transmission, were downregulated. Astrocytes in the patient-derived chimeras also had irregular morphology. The animals exhibited impaired response to stimuli as well as anxiety and antisocial behavior. Genes related to glial cells might be potent therapeutic targets for schizophrenia and other diseases, like Huntington’s disease and frontotemporal dementia. “We never thought of these as glial diseases, but fundamentally they might be,” Goldman said.

Stem-cell-derived Astrocytes for Treating Neurodegenerative Disease

Ninety percent of neurodegenerative diseases have no known genetic cause, and may be amenable to treatment with cell therapy, said Clive Svendsen of Cedars-Sinai Medical Center. While delivering neurons into diseased CNS is still evolving, astrocytes have great potential for immediate use, Svendsen said.

His lab developed a protocol for deriving astrocytes from human fetal tissue; these cells migrate to areas of damage when delivered to a rat brain. To give these cells more regenerative capacity, Svendsen and collaborators engineered the cells to release the growth factor GDNF. They initially tested this cell delivery therapy in a Parkinson’s disease model, but it has also been applied in stroke, and both Huntington’s and Alzheimer’s disease.

More recently they have begun to explore its use in amyotrophic lateral sclerosis (ALS), where life expectancy after diagnosis is a mere three years and no treatments exist. They first tested it in an ALS rat transgenic model in which astrocytes lacked the protein SOD1. When they transplanted the therapeutic astrocytes to the lumbar spine, the cells survived well and improved neuronal survival, but did not prevent paralysis. As they moved up the spinal cord, results improved; cell delivery into the brain’s motor cortex yielded improved motor function and survival in the animals.

GDNF-releasing astrocytes injected into the motor cortex spur motor neuron growth in a rat model of ALS.

Last October, Svendsen and his team launched an 18-person clinical trial of this approach. For safety reasons, the U.S. Food and Drug Administration required the researchers to start by delivering cells into the lumbar spine; patients will receive the therapy in one leg, with the other acting as a control. If the first few patients experience no adverse effects, delivery into the cervical spine and the cortex will also be attempted.

Functionally Heterogeneous Astrocytes in the Mammalian CNS

How neuron patterning generates a diversity of neuronal types throughout the central nervous system is well understood. But very little is known about heterogeneity in astrocytes, although they are the most abundant cells in the CNS, comprising about half of all brain cells, said David H. Rowitch of the University of Cambridge.

Early work in Rowitch’s lab identified an astrocyte-specific transcription factor that showed that astrocytes are allocated to specific regions of the brain during development. They then searched for postnatal astrocytes in the spinal cord that were regionally and functionally distinct by comparing gene expression in the dorsal and ventral part of the spinal cord. The gene Sema3a was most highly expressed in ventral astrocytes in mice, and when it was deleted, half the animal’s alpha motor neurons, which innervate fast-twitching muscle, died.

Mice lacking Kir4.1 have abnormal signaling in motor neurons, smaller muscle fibers, and decreased strength.

To investigate how neurons and astrocytes interact, the researchers examined a potassium channel called Kir4.1, which is preferentially expressed in the ventral brain and spinal cord. Loss of function mutations to the channel cause epilepsy, and the channel is strongly downregulated in astrocytes of people with ALS. Mice engineered to lack the channel in astrocytes have smaller alpha motor neurons and weaker muscle function. Transfecting the astrocytes of these mice with the channel reverses these deficits. The fact that astrocytes so strongly affect neuron function suggests that dysfunction in specific subsets of astrocyte may play a role in neurodegenerative diseases.

Speaker Presenations

Human Glial Chimeric Mouse Models of Neurological Disease


Steven A. Goldman (University of Rochester Medical Center)

Functional Heterogeneity of Astrocytes in the Mammalian CNS


David H. Rowitch (University of Cambridge)

Stem Cell Derived Astrocytes for the Treatment of Neurological Diseases


Clive Svendsen (Cedars-Sinai Medical Center

Further Readings

Steven Goldman

Han X, Chen M, Wang F, Windrem M, Wang S, Shanz S, Xu Q, Oberheim NA, Bekar L,
Betstadt S, Silva AJ, Takano T, Goldman SA, Nedergaard M.

Cell Stem Cell. 2013 Mar 7;12(3):342-53. doi: 10.1016/j.stem.2012.12.015.

Osorio MJ, Goldman SA.

Exp Neurol. 2016 Sep;283(Pt B):476-88. doi: 10.1016/j.expneurol.2016.05.010. Epub 2016 May 8.

Wang S, Bates J, Li X, Schanz S, Chandler-Militello D, Levine C, Maherali N, Studer L, Hochedlinger K, Windrem M, Goldman SA.

Cell Stem Cell. 2013 Feb 7;12(2):252-64. doi: 10.1016/j.stem.2012.12.002.

Windrem MS, Schanz SJ, Morrow C, Munir J, Chandler-Militello D, Wang S, Goldman SA.

J Neurosci. 2014 Nov 26;34(48):16153-61. doi: 10.1523/JNEUROSCI.1510-14.2014.

Windrem MS, Schanz SJ, Guo M, Tian GF, Washco V, Stanwood N, Rasband M, Roy NS, Nedergaard M, Havton LA, Wang S, Goldman SA.

Cell Stem Cell. 2008 Jun 5;2(6):553-65. doi: 10.1016/j.stem.2008.03.020.

Clive Svendsen

Capowski EE, Schneider BL, Ebert AD, Seehus CR, Szulc J, Zufferey R, Aebischer P, Svendsen CN.

J Neurosci Methods. 2007 Jul 30;163(2):338-49. Epub 2007 Mar 3.

Gowing G, Shelley B, Staggenborg K, Hurley A, Avalos P, Victoroff J, Latter J,
Garcia L, Svendsen CN.

Neuroreport. 2014 Apr 16;25(6):367-72. doi: 10.1097/WNR.0000000000000092.

Suzuki M, Svendsen CN.

Trends Neurosci. 2008 Apr;31(4):192-8. doi: 10.1016/j.tins.2008.01.006. Epub 2008 Mar 10.

Thomsen GM, Gowing G, Latter J, Chen M, Vit JP, Staggenborg K, Avalos P, Alkaslasi M, Ferraiuolo L, Likhite S, Kaspar BK, Svendsen CN.

J Neurosci. 2014 Nov 19;34(47):15587-600. doi: 10.1523/JNEUROSCI.2037-14.2014.

David Rowitch

Freeman MR, Rowitch DH.

Neuron. 2013 Oct 30;80(3):613-23. doi: 10.1016/j.neuron.2013.10.034. Review.

Molofsky AV, Kelley KW, Tsai HH, Redmond SA, Chang SM, Madireddy L, Chan JR, Baranzini SE, Ullian EM, Rowitch DH.

Nature. 2014 May 8;509(7499):189-94. doi: 10.1038/nature13161.

Tsai HH, Li H, Fuentealba LC, Molofsky AV, Taveira-Marques R, Zhuang H, Tenney A, Murnen AT, Fancy SP, Merkle F, Kessaris N, Alvarez-Buylla A, Richardson WD, Rowitch DH.

Science. 2012 Jul 20;337(6092):358-62. doi: 10.1126/science.1222381. Epub 2012 Jun 28.

Innovative Approaches to Promote Neuroregeneration

Speakers

Highlights

Novel therapies targeting the synaptic plasticity pathways could address the dysregulation of long term depression underlying Alzheimer’s disease.

Brain organoids grown from human induced pluripotent stem cells recapitulate development and can model brain disease.  

Reprogramming pericyte cells into neuronal cells occurs via a distinct developmental program.

Promoting neurogenesis and re-engineering molecular connectivity in the hippocampus restored age-related memory decline in mice.

Is Alzheimer’s Disease Caused by Long Term Depression Gone Awry?

One key purpose of brains is to enable learning and memory—a process that relies on a balance between long term potentiation (LTP) and long term depression (LTD) to drive synaptic plasticity, said Graham Collingridge of the University of Toronto. Dysregulation of that balance causes Alzheimer’s disease, he said.

In 1983, Collingridge’s lab identified the role of the NMDA receptor in synaptic plasticity, finding that its activation could cause both LTP and LTD. In later work, they sought kinase inhibitors that could block LTP and LTD. One of the few ways to inhibit LTD was to block glycogen synthase kinase 3beta (GSK-3beta). This molecule is also known as tau kinase because it hyperphosphorylates the protein tau—a process implicated in Alzheimer’s disease pathogenesis. “I thought, well, that’s just not coincidence, is it,” Collingridge said.

Dysregulation of the pathway regulating LTD can cause the pathogenic features of Alzheimer’s disease.

Tau regulates microtubules in axons, but Collingridge’s lab found that it also exists in synapses, and is phosphorylated by GSK-3beta. In mice engineered to lack tau, LTD is absent but LTP is undisturbed. Work from other researchers had shown that amyloid beta, the protein that aggregates in Alzheimer’s disease, inhibits LTP and facilitates LTP. His group showed that GSK-3beta reverses this effect, and identified other parts of the signaling pathway linking amyloid beta, tau, GSK-3beta, and both LTP and LTD. Dysregulation in these components can generate amyloid beta plaques, tau tangles, and the neuroinflammation, synapse loss and memory loss that characterizes Alzheimer’s. Modulators of NMDA receptor activity may have therapeutic potential.

Modeling Human Brain Development and Disease with Human Induced Pluripotent Stem Cells

Guo-Li Ming of the University of Pennsylvania is developing 3-dimensional cell culture models of the developing brain—so-called organoids—using induced pluripotent stem cells. High school students working in her lab designed 3D-printed lids with shafts that insert into standard cell culture plates, to divide each individual well of the plate into a separate miniaturized spinning bioreactor. Because most brain organoid protocols produced highly heterogeneous tissue, she used these tiny bioreactors to create organoids containing almost exclusively forebrain tissue.

Using markers specific to different layers of the cerebral cortex, Ming’s lab could show that organoids roughly recapitulated the cortical architecture.

Cell labeling and gene expression studies showed that when grown for 100 days, these organoids recapitulated fetal forebrain development through the end of the second trimester. Progenitor cells generated neurons and glia whose migration pattern mirrored development, and the neurons received both excitatory and inhibitory input. The researchers used the organoids to study how Zika virus affects the developing brain. They found that the virus specifically targets neural progenitor cells, dose-dependently causing cell death and causing a collapse of tissue that resembles the microcephaly in infants affected by Zika. A screen of 6000 compounds yielded a neuroprotective compound called Emricasan that is positioned to enter clinical trials.

The group has now developed other brain-region specific organoids, modeling the midbrain and the hypothalamus. They plan to use these tools to study other neurodevelopmental disorders. Recent publications suggest the approach can also recapitulate features of neurodegenerative diseases, Ming said.

Engineering Neurogenesis via Lineage Reprogramming

For the past decade, Benedikit Berninger of Johannes Gutenberg University Mainz has been working on identifying cellular signals that can drive the reprogramming of astroglial cells from early postnatal mouse brain into neurons. More recently, to see if such reprogramming could be conducted in human cells, his lab began working with cells derived from adult human brains during epilepsy surgery. These cells turned out to be pericytes, and Berninger’s team identified a two transcription factors—Sox2 and Ascl1—that could reprogram them into functional neurons, which formed synapses and fired action potentials in culture.

To understand how the two transcription factors interact, the researchers investigated gene expression in the early stages—day 2 and day 7—in this two-week reprogramming process. A few genes were regulated by just one of the factors, but most were turned on only when both factors were present, suggesting that the two factors act synergistically. Ascl1 alone appears to target a different set of genes—ones associated with mesodermal cell fate (which generate pericytes), rather than neurogenesis-related genes activated when Ascl1 is co-expressed with Sox2. A similar difference was seen on a single cell level.

The researchers also observed two subpopulations in the starting population of pericytes—one of which was susceptible to reprogramming into neurons while the other was not. That may account for distinct competence in reprogramming in individual cells, Berninger said. For example, cells expressing the leptin receptor had a low level of reprogramming efficiency, indicating subtype differences in reprograming competence.

Three sets of genes are induced during reprogramming of pericytes to neurons—a set associated with pericytes, one associated with a progenitor-like stage, and one associated with neurons.

In the subset of cells that do reprogram successfully, a set of genes was induced transiently, then downregulated. These genes reflect a progenitor-like stage in the reprogramming process. These studies suggest that cells are not transforming directly from pericyte to neuron, but undergo a series of events reminiscent of an unfolding developmental program, Berninger said.

Rejuvenating and Re-engineering Aging Memory Circuits

The hippocampus plays a critical role in formation of episodic memories-that is, memories of what, when, and where. Essential to this capacity is the need to keep similar memories separate and retrieve past memories in a context appropriate manner. With age, the ability to keep similar memories separate and context-appropriate retrieval is potentially impaired, said Amar Sahay of Massachusetts General Hospital and Harvard Medical School. Within the hippocampus, the dentate gyrus-CA3 circuit performs operations such as pattern separation and pattern completion that support resolution of memory interference and retrieval. With age, neurogenesis in the hippocampus declines and CA3 neurons become hyper excitable in rodents, non-human primates and humans. Sahay's lab investigates circuit mechanisms that may be harnessed to optimize hippocampal memory functions in adulthood and aging.

The DG-CA3 circuit in the hippocampus regulates episodic memory.

The hippocampus generates new neurons throughout life, and previous work has suggested that adult-born neurons integrate into the hippocampal circuitry by competing with existing mature neurons for inputs. Sahay and his colleagues identified a transcription factor called Klf9 that, when unregulated just in the mature neurons, biases competition dynamics in favor of integration of the adult-born neurons. This enhances neurogenesis in adult (3-month-old), middle-aged (12 months) and in aged (17-month-old) mice. Older rejuvenated animals (with enhanced adult hippocampal neurogenesis) had a memory advantage: they were better at discriminating between two similar contexts, one safe and one associated with a mild footshock.

In a complementary series of experiments, Sahay and his colleagues found age-related changes in connectivity between dentate granule neurons and inhibitory interneurons. They performed a screen and identified a factor with which they re-engineered connectivity between dentate granule neurons and inhibitory interneurons and augmented feed-forward inhibition onto CA3. By targeting this factor in the dentate gyrus of aged mice, the authors were able to reverse age-related alterations in dentate granule neuron-inhibitory interneuron connectivity and enhance memory precision.

Speaker Presentations

Is Alzheimer's Disease Caused by LTD Gone Awry?


Graham Collingridge (University of Toronto)

Modeling Human Brain Development and Neurogenesis Using hiPSCs


Guo-li Ming (University of Pennsylvania)

Engineering of Neurogenesis via Lineage Reprogramming


Benedikit Berninger (Johannes Gutenberg University Mainz)

Rejuvenating and Re-engineering Aging Memory Circuits


Amar Sahay (BROAD Institute of Havard and MIT)

Further Readings

Graham Collingridge

Collingridge GL, Peineau S, Howland JG, Wang YT.

Nat Rev Neurosci. 2010 Jul;11(7):459-73. doi: 10.1038/nrn2867. Review.

Jo J, Whitcomb DJ, Olsen KM, Kerrigan TL, Lo SC, Bru-Mercier G, Dickinson B, Scullion S, Sheng M, Collingridge G, Cho K.

Nat Neurosci. 2011 May;14(5):545-7. doi: 10.1038/nn.2785. Epub 2011 Mar 27.

Kimura T, Whitcomb DJ, Jo J, Regan P, Piers T, Heo S, Brown C, Hashikawa T, Murayama M, Seok H, Sotiropoulos I, Kim E, Collingridge GL, Takashima A, Cho K.

Philos Trans R Soc Lond B Biol Sci. 2013 Dec 2;369(1633):20130144. doi: 10.1098/rstb.2013.0144. Print 2014 Jan 5.

Peineau S, Taghibiglou C, Bradley C, Wong TP, Liu L, Lu J, Lo E, Wu D, Saule E, Bouschet T, Matthews P, Isaac JT, Bortolotto ZA, Wang YT, Collingridge GL.

Neuron. 2007 Mar 1;53(5):703-17.

Shipton OA, Leitz JR, Dworzak J, Acton CE, Tunbridge EM, Denk F, Dawson HN, Vitek MP, Wade-Martins R, Paulsen O, Vargas-Caballero M.

J Neurosci. 2011 Feb 2;31(5):1688-92. doi: 10.1523/JNEUROSCI.2610-10.2011.

Guo-li Ming

Qian X, Nguyen HN, Song MM, Hadiono C, Ogden SC, Hammack C, Yao B, et al.

Cell. 2016 May 19;165(5):1238-54. doi: 10.1016/j.cell.2016.04.032. Epub 2016 Apr 22.

Benedikit Berninger

Heinrich C, Blum R, Gascón S, Masserdotti G, Tripathi P, Sánchez R, Tiedt S, Schroeder T, Götz M, Berninger B.

PLoS Biol. 2010 May 18;8(5):e1000373. doi: 10.1371/journal.pbio.1000373.

Karow M, Schichor C, Beckervordersandforth R, Berninger B.

J Vis Exp. 2014 May 12;(87). doi: 10.3791/51433.

Karow M, Sánchez R, Schichor C, Masserdotti G, Ortega F, Heinrich C, Gascón S, Khan MA, Lie DC, Dellavalle A, Cossu G, Goldbrunner R, Götz M, Berninger B.

Cell Stem Cell. 2012 Oct 5;11(4):471-6. doi: 10.1016/j.stem.2012.07.007.

Amar Sahay

McAvoy KM, Sahay A.

Neurotherapeutics. 2017 Jul;14(3):630-645. doi: 10.1007/s13311-017-0539-6. Review.

McAvoy KM, Scobie KN, Berger S, Russo C, Guo N, Decharatanachart P, Vega-Ramirez H, Miake-Lye S, Whalen M, Nelson M, Bergami M, Bartsch D, Hen R, Berninger B, Sahay A.

Neuron. 2016 Sep 21;91(6):1356-73. doi: 10.1016/j.neuron.2016.08.009. Epub 2016 Sep 1.

Biomarkers, Hot Topics, and the Future of Therapeutics

Speakers

Reisa Sperling

Brigham and Women’s Hospital

Arthur Konnerth

Technical University of Munich

Johanna Jackson

Eli Lilly and Company

Milo Robert Smith

Icahn School of Medicine at Mount Sinai

Eliška Zlámalová

University of Cambridge

Highlights

Multimodal imaging is becoming advanced enough to identify people with early-stage disease, which will help determine the critical window for therapies in clinical trials.

Slow wave oscillations are disrupted in Alzheimer’s disease model mice due to a misregulation of excitatory and inhibitory synaptic activity.

Imaging pre- and post-synaptic structures over time can reveal how disease progression affects synapses.

Integrative bioinformatics can identify common pathways across neurodegenerative diseases and as well as drugs that can may act on those pathways.

An RNAi-based screen in Drosophila can reveal genes that shape the morphology of axonal ER.

Neuroimaging in Early Alzheimer’s Disease

Alzheimer’s disease evolves over a couple decades, but most research to date has examined the disease at a late stage—perhaps too late to intervene effectively, said Reisa Sperling of Brigham and Women’s Hospital. Multimodal imaging is becoming advanced enough to identify people with early-stage disease, which will help determine the critical window for therapies in clinical trials.

PET amyloid imaging detects amyloid pathology in humans in vivo. Some 30% of clinically normal individuals have high amyloid levels, accumulating data suggests that this increases the risk of cognitive decline over the next 15 years—particularly when combined with markers of neurodegeneration such as decreased hippocampal volume. Still, Sperling said, “I see that as a glass half full—we’ve got 15 years to intervene.”

Committing something to memory requires activation of a brain region called the medial temporal lobe, where tau accumulates in AD. It also requires disabling the so-called default mode network (DMN), a brain circuit active when the brain is not engaged in a particular task. Amyloid accumulation disrupts the DMN, and disruptions also emerge in other networks and the specificity with which they signal.

Tau levels are associated with cognitive decline.

It’s the combination of amyloid and tau that is important for cognitive decline. Because tau—though not amyloid—correlates clearly with cognitive decline, tau PET imaging, which emerged just a couple years ago, has the most promise as a neurodegenerative marker for clinical trials, Sperling said. Ultimately, trials should move toward primary prevention—identifying drugs that block disease onset before clinical symptoms emerge. The field also needs biomarkers that show a person’s response to therapy.

Circuitry Dysfunciton in Alzheimer’s Disease Mouse Models

A lot is known about clinical symptoms, pathology, and molecular mechanisms involved in Alzheimer’s disease, but there is a big gap in understanding how neuronal circuits are affected, said Arthur Konnerth of the Technical University of Munich.

About ten years ago, Konnerth’s lab developed a method for measuring neuronal function at the single cell level in living mice using fluorescent calcium indicators. They used it to investigate neurons surrounding amyloid beta plaques in mice lacking functional amyloid precursor protein (APP), an Alzheimer’s disease model. They hypothesized that these neurons would show decreased activity, but to their surprise, they were hyperactive, while further-away cells were silent. The error signal sent by these hyperactive cells probably disturbs the circuit significantly, Konnerth said.

His team also explored the function of long-range circuits in Alzheimer’s disease model mice. They studied slow wave oscillations, a form of activity that is essential for slow wave sleep and for memory consolidation. These waves travels through the cortex and into the hippocampus in a coherent fashion. In Alzheimer’s disease mice, the coherence of this circuitry is highly disrupted. Enhancing inhibitory (GABAergic) neuron activity reversed the deficit.

Alzheimer’s disease model mice showed improved learning after restoration of slow wave activity.

Tweaking GABAergic activity in normal mice also affected this circuitry, pointing to a synaptic effect. Returning the circuitry to normal also improved a learning task, the Morris water maze, and individual animals’ behavioral performance could be predicted by the coherence of this slow wave oscillation. An fMRI study in humans conducted by another lab showed also showed a disruption in slow wave oscillation. Targeting the shift in excitation-inhibition that underlies slow wave disruption may ameliorate cognitive deficits in the disease, Konnerth said.

Hot Topics in Neuroregeneration

In three short talks, early career researchers described imaging, bioinformatics and candidate gene analyses for probing neurodegenerative diseases.

Johanna Jackson from Eli Lilly used two-photon imaging in two mouse models of Alzheimer’s disease to study how disease progression affects synapses. She and her colleagues tracked axonal boutons and dendritic spines—the presynaptic and postsynaptic points of contact—over time in the same brain region. In the J20 mouse, which develops amyloid plaques, dendritic spine number remained constant, but axonal boutons were lost and the turnover rate of both spines and boutons increased as amyloidopathy progressed. The Tg4510s mouse, which develops tauopathy, showed a different pattern: both spines and boutons were lost, and neurites sickened then disappeared over time. Switching off the transgene in these mice could partially prevent or delay these deficits.

Milo Robert Smith of the Icahn School of Medicine at Mt. Sinai used bioinformatics to probe plasticity mechanisms in neurodegenerative diseases and to identify common disease pathways and potential therapeutic drugs. First, his team conducted microarray experiments to capture gene expression signatures of plasticity in mice. They then matched these signatures to transcriptomics signatures of 436 diseases taken from publically available databases. The 100-plus illnesses showing a significant association were enriched for neurodegenerative diseases, and inflammatory genes appeared highly implicated. Finally, the researchers matched disease transcriptional signatures to transcriptional signatures of drugs measured in cell lines, also from publically available databases. Using this approach they identified drug candidates for resting plasticity in Huntington’s disease.

A strategy for using integrative bioinformatics to identify drugs that target common mechanisms in neurodegenerative disease.

Human motor neuron axons can extend a meter in length, but dysfunction in trafficking such a distance underlies a neurodegenerative disease called hereditary spastic paraplegia (HSP), in which corticospinal motor neurons progressively degenerate. Eliška Zlámalová of the University of Cambridge is identifying candidate genes involved in long axon transport and HSP pathology. Three genes associated with HSP—reticulon, REEP1, and REEP2—produce proteins that localize to smooth endoplasmic reticulum (ER) in axons. When Zlámalová disabled all three in Dropsophila, ER fragmented in the middle of the axon and degenerated distally. To look for additional candidate genes, Zlámalová developed fluorescent markers for two other proteins, knocked own their genes in triple-mutant flies using RNA interference, and imaged ER morphology. She found a trend toward further ER fragmentation; a higher number of experiments may yield more conclusive results.

Further Readings

Reisa Sperling

Jack CR Jr, Bennett DA, Blennow K, Carrillo MC, Feldman HH, Frisoni GB, Hampel H, Jagust WJ, Johnson KA, Knopman DS, Petersen RC, Scheltens P, Sperling RA, Dubois B.

Neurology. 2016 Aug 2;87(5):539-47. doi: 10.1212/WNL.0000000000002923. Epub 2016 Jul 1. Review.

Schultz AP, Chhatwal JP, Hedden T, Mormino EC, Hanseeuw BJ, Sepulcre J, Huijbers W, LaPoint M, Buckley RF, Johnson KA, Sperling RA.

J Neurosci. 2017 Apr 19;37(16):4323-4331. doi: 10.1523/JNEUROSCI.3263-16.2017. Epub 2017 Mar 17.

Sperling R, Mormino E, Johnson K.

Neuron. 2014 Nov 5;84(3):608-22. doi: 10.1016/j.neuron.2014.10.038. Epub 2014 Nov 5. Review.

Sperling RA, Jack CR Jr, Aisen PS.

Sci Transl Med. 2011 Nov 30;3(111):111cm33. doi: 10.1126/scitranslmed.3002609. Review.

Sperling RA, Laviolette PS, O'Keefe K, O'Brien J, Rentz DM, Pihlajamaki M, Marshall G, Hyman BT, Selkoe DJ, Hedden T, Buckner RL, Becker JA, Johnson KA.

Neuron. 2009 Jul 30;63(2):178-88. doi: 10.1016/j.neuron.2009.07.003.

Arthur Konnerth

Busche MA, Kekuš M, Adelsberger H, Noda T, Förstl H, Nelken I, Konnerth A.

Nat Neurosci. 2015 Nov;18(11):1623-30. doi: 10.1038/nn.4137. Epub 2015 Oct 12.

Busche MA, Konnerth A.

Bioessays. 2015 Jun;37(6):624-32. doi: 10.1002/bies.201500004. Epub 2015 Mar 14.

Busche MA, Grienberger C, Keskin AD, Song B, Neumann U, Staufenbiel M, Förstl
H, Konnerth A.

Nat Neurosci. 2015 Dec;18(12):1725-7. doi: 10.1038/nn.4163. Epub 2015 Nov 9.

Busche MA, Eichhoff G, Adelsberger H, Abramowski D, Wiederhold KH, Haass C, Staufenbiel M, Konnerth A, Garaschuk O.

Science. 2008 Sep 19;321(5896):1686-9. doi: 10.1126/science.1162844.

Willem M, Tahirovic S, Busche MA, Ovsepian SV, Chafai M, et al.

Nature. 2015 Oct 15;526(7573):443-7. doi: 10.1038/nature14864. Epub 2015 Aug 31.

Johanna Jackson

Scheff SW, Price DA, Schmitt FA, Mufson EJ.

Neurobiol Aging. 2006 Oct;27(10):1372-84. Epub 2005 Nov 9.

Milo Robert Smith

Smith MR, Burman P, Sadahiro M, Kidd BA, Dudley JT, Morishita H.

eNeuro. 2017 Jan 18;3(6). pii: ENEURO.0240-16.2016. doi: 10.1523/ENEURO.0240-16.2016. eCollection 2016 Nov-Dec.

Eliška Zlámalová

Blackstone C.

Annu Rev Neurosci. 2012;35:25-47. doi: 10.1146/annurev-neuro-062111-150400. Epub 2012 Apr 20.

Gerondopoulos A, Bastos RN, Yoshimura S, Anderson R, Carpanini S, Aligianis I, Handley MT, Barr FA.

J Cell Biol. 2014 Jun 9;205(5):707-20. doi: 10.1083/jcb.201403026. Epub 2014 Jun 2.

Novarino G, Fenstermaker AG, Zaki MS, Hofree M, Silhavy JL, et al.

Science. 2014 Jan 31;343(6170):506-511. doi: 10.1126/science.1247363.

Panel Discussion: The Future of Research and Therapies in Neuroregeneration and Restoration

Speakers

Michael J. O’Neill, Moderator

Eli Lilly and Company

Ana Maria Cuervo, Panelist

Albert Einstein College of Medicine

Mark P. Mattson, Panelist

National Institute of Aging

Clive Svendsen, Panelist

Cedars-Sinai Medical Center

Jeffrey Macklis, Panelist

Harvard University

The panelists began by summarizing what they consider the most exciting dimension in the field of regeneration. Jeffery Macklis said that since graduate school, he had puzzled over the fact that only certain cell types were vulnerable and selectively damaged in different neurodegenerative diseases. “I find that the most exciting question,” he said. “Until we get to neuron subtype specificity and the circuits involved, we could be looking at a lot of unrelated stuff.”

Ana Maria Cuervo notes that neurodegenerative diseases primarily occur in the elder population, yet researchers still don’t know enough about the physiology of aging to determine which dimensions of the disease are due to aging and which are not.

Mark P. Mattson agreed, noting that in Alzheimer’s disease, events upstream of amyloid including generic age-related events such as increased oxidative stress, can affect the disease. “We need to understand those if we want to intervene earlier,” he said. He also wondered whether mechanisms being targeted by drug development could also be activated by exercise or energy restriction. A related approach might be to induce mild intermittent bioenergetic stress on cell pharmacology.

“The thing that keeps me up at night in this field is biomarkers,” said Clive Svendsen. Molecules that change as the disease progresses are not necessarily causative; indeed, some of the stress responses observed in Alzheimer’s disease might be neuroprotective, and that holds for Huntigton’s disease, too, he explained.

An audience member raised the question of sex differences in neurodegenerative disease, noting that even when boys and girls reach the same cognitive milestones, they often arrive there through different routes. In response, Mattson described a study conducted by his group that compared responses to different diets in male versus female mice. At 40% calorie restriction, females shut down their estrus cycle, increased their physical activity, and lost most of their body fat. Males under the same circumstances remained fertile, and their activity levels did not change. That could be because from an evolutionary perspective, females would ostensibly want to avoid having babies when there is no food around, because they lack the energy to care for them, while males might want to inseminate as widely as possible before they starve to death.

Reisa Sperling noted that women respond more adversely to a smaller amount of amyloid beta. “Something about being female means that you are more vulnerable,” she noted. An audience member noted that although men have a higher risk of Parkinson’s disease, females deteriorate faster once diagnosed. Svendsen noted that these observations speak to broader issues in personalizing treatments for neurodegenerative diseases. Sporadic Alzheimer’s disease likely consists of more than one disease, for example. “We’re trying to subdivide ALS into 10 types,” he said.

Panel Discussion

The Future of Research & Therapies in Neuroregeneration & Restoration


Michael J. O'Neill, Moderator (Eli Lilly & Company)

Open Questions

How do hypertrophic astrocytes help require damaged neuronal circuits?

What is the best way of clinically testing the amyloid beta hypothesis?

Can the signaling mechanism linking neuronal activity at the synapse and gene transcription in the nucleus be therapeutically targeted?

How should Parkinson’s disease therapeutic efforts account for homeostatic plasticity in stratal neurons?

Why do different inflammatory responses have different effects on CNS regeneration? [Giger]

How can growth cone machinery be targeted to promote regeneration?

Can fasting and exercise mitigate against dementia and neurodegenerative damage in diseases like Alzheimer’s and Parkinson’s?

How do pathogenic proteins cause the breakdown of chaperone-mediated autophagy, and how does such authophagy contribute to the clearance of pathogenic proteins?

Will improvements in mitochondrial function obtained by targeting Parkin, PARIS or related proteins provide therapeutic benefits in Parkinson’s disease?

How does glial cell dysfunction cause neurological disease and can it be therapeutically targeted? [Goldman]

Can a cell therapy consisting of GDNF-releasing astrocytes stave off paralysis in ALS?

Are there neurodegenerative diseases besides ALS in which genes are maladaptively downregulated in astrocytes?

Will drugs that modulate NMDA activity prove beneficial for Alzheimer’s disease?

How well can organoids reflect the pathology of neurodegenerative diseases?

Can promoting reprogramming strategies that turn non-neuronal cells into neurons be used therapeutically?

Can memory be improved with the help of molecular strategies to rejuvenate hippocampal circuitry that degenerates with age?

Will candidates identified through integrative bioinformatics yield drugs that target common mechanisms in neurodegenerative disease?

How to determine the optimal window for efficacy of different prospective Alzheimer’s disease therapies?

Will reversing the disintegration of slow wave oscillations ameliorate cognitive impairment in Alzheimer’s disease?