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Transcript
INSIGHTS | P E R S P E C T I V E S
REFERENCES
1. T. Gerling, K. F. Wagenbauer, A. M. Neuner, H. Dietz, Science
347, 1446 (2015).
2. N. C. Seeman, Annu. Rev. Biochem. 79, 65 (2010).
3. P. W. Rothemund, Nature 440, 297 (2006).
4. S. M. Douglas et al., Nature 459, 414 (2009).
5. H. Dietz, S. M. Douglas, W. M. Shih, Science 325, 725
(2009).
6. Y. Ke et al., J. Am. Chem. Soc. 131, 15903 (2009).
7. D. Han et al., Science 332, 342 (2011).
8. M. Endo, T. Sugita, Y. Katsuda, K. Hidaka, H. Sugiyama,
Chemistry 16, 5362 (2010).
9. A. Rajendran et al., ACS Nano 5, 665 (2011).
10. S. Woo, P. W. Rothemund, Nat. Chem. 3, 620 (2011).
11. P. Yakovchuk et al., Nucleic Acids Res. 34, 564 (2006).
12. S. J. Green et al., Phys. Rev. Lett. 101, 238101 (2008).
13. D. Y. Zhang et al., Nat. Chem. 4, 208 (2012).
14. W. B. Rogers, V. N. Manoharan, Science 347, 639 (2015).
10.1126/science.aaa9483
1418
NEUROSCIENCE
Treating brain disorders
with neuromodulation
Nanoparticles, magnetic fields, and heat-sensitive ion
channels are harnessed to manipulate brain activity
By Yasin Temel and Ali Jahanshahi
A
ltering the activity of specific brain
structures to understand their function, but also to manage their dysfunction, has been a timeless mission
for neuroscientists. Classical tools for
studying brain structure and function are lesioning, electrical stimulation,
and chemical modulation. Although effective at the level of the brain structure, these
tools lack a high degree of selectivity and
specificity. More advanced neuromodulation techniques are overcoming these
limits, including optogenetic approaches
and chemogenetic tools [such as designer
receptors exclusively activated by designer
drugs (DREADD)]. On page 1477 of this issue, Chen et al. (1) add magnetothermal
neuromodulation to this list. The approach
allows specific neurons to be activated by
heat-emitting nanoparticles that respond to
externally applied magnetic fields.
Chen et al. introduced the heat-sensitive
calcium ion channel TRPV1 into neurons
(via viral delivery of the encoding gene)
located in the ventral tegmental area of
the mouse brain. Four weeks later, magnetic nanoparticles were injected into the
same region, where they were detected in
the extracellular space (whether they are
internalized by any cell in vivo remains to
be shown). Mice were then exposed to an
external alternating magnetic field that
caused the nanoparticles to emit heat sufficient to activate the TRPV1 channels. The
resulting influx of calcium was a proxy for
neuronal membrane depolarization and excitation. This also triggered activity-dependent gene expression in the TRPV1 neurons.
Moreover, neurons in the prefrontal cortex,
which receive input from the ventral tegmental area, were activated.
As with optogenetics, which uses light to
activate neurons that have been engineered
to express light-sensitive ion channels, the
approach of Chen et al. is clever, but has
obvious limitations as far as clinical use.
One issue is safety, related to heating, the
presence of magnetic particles in the brain,
and the use of viral tools. Another limit is
specificity—do the nanoparticles respond
to other magnetic fields that one confronts
in daily life? The more immediate value for
magnetothermal neuromodulation is in its
use as a tool to excite specific subpopulations of neurons by remote control.
The development of new tools for intracranial neuromodulation (see the figure)
evokes a concept hypothesized by Nobel
Laureate António Egas Moniz in the first
half of the 20th century—that a dysfunctional circuit of Papez (medial limbic circuit that connects the hypothalamus to the
cortex) underlies major affective disorders.
He and others intervened surgically with lesions of the frontal cortex by a transorbital
route (lobotomy). The idea was to destroy
connective nerve fibers or specific brain
tissue, but the procedure only improved
symptoms in some patients temporarily,
and the risks included serious affective
“…magnetohermal
neuromodulation…could…
enhance our knowledge of
the brain’s microcircuitry in
normal and disease states.”
and cognitive side-effects such as apathy.
Shortly after the introduction of the human
stereotaxic apparatus in 1947 (2), which
used a three-dimensional coordinate system to locate specific regions in the brain,
surgeons approached deeply situated motor
regions with more precise lesional surgery
to treat patients with movement and psychiatric disorders.
In the second half of the 20th century,
electrodes placed temporarily in deeply situated areas of the brain became more popular. Limbic regions were thus stimulated to
modulate affective behaviors of patients (3).
A well-known animal study demonstrated
that an attacking bull could be stopped
instantly when an electrode, placed in its
caudate area, was activated by a remote
controller (4). Although these methods were
hypothesis-driven, their main weakness was
the lack of a robust scientific base, and they
sciencemag.org SCIENCE
27 MARCH 2015 • VOL 347 ISSUE 6229
Published by AAAS
Downloaded from www.sciencemag.org on March 26, 2015
integral numbers of double-helical turns. If
future designs could modulate plug length
to single-base-pair resolution, a much
larger set of orthogonal interfaces could be
constructed relative to a given bundle size.
This would allow assembly of larger, more
complex, and therefore more sophisticated
devices.
The authors note some challenges for
including base-pairing interactions, instead of only stacking interactions, to
drive dynamic interfacial recognition. For
example, the interaction energies may be
too large when long sequences are used.
Nonetheless, one can imagine interesting
possibilities where base pairing is involved.
For example, the use of short sticky ends
(double-helix termini with single-stranded
DNA overhangs available for base pairing)
may be exploited to increase the combinatorial possibilities, although compensatory
repulsive interactions may be required
in conjunction to prevent the specific interfacial energy from becoming too large.
Longer sequences could be used together
with competitor displacement strands (13),
where the specific interfacial energy can
be tuned according to length, sequences,
and concentrations of the latter strands.
For example, Rogers and Manoharan (14)
recently reported programming reentrant
melting of DNA-functionalized colloids
(which interact only within a specified
temperature band) by exploiting competitive strand displacement schemes.
Given the great advances in static selfassembly of highly complex DNA shapes
over the past decade, the time is ripe to
explore how these architectures can be
controlled dynamically. Through their pioneering forays into shape complementarity, weak interfacial energies, and remotely
tunable repulsion energies, Gerling et al.
point the way toward reconfigurable, rigid
DNA nanodevices that may one day rival
the functional sophistication of the biomolecular machines of the cell. ■
Key neuromodulation approaches
Macrocircuitry
Frontal lesional
approaches
(1930–1950)
Stereotactic lesional and
experimental electrical
stimulation approaches
(1950–1990)
Microcircuitry
Deep brain
stimulation
(1990–)
DREADD
(2005–)
Optogenetics Magnetothermal deep
(2010–)
brain stimulation
(2015–)
ILLUSTRATION: V. ALTOUNIAN/SCIENCE
Trends in treatment. Techniques to alter neuron activity in the brain shifted from a macrocircuitry focus to one that now concentrates on modulating specific populations of
neurons. The time periods indicate the global course of development.
fell into disuse with the rise of drugs targeting the central nervous system.
An increased understanding of the neuronal function was the determining factor
for the successful application of deep brain
stimulation of the subthalamic nucleus in
patients with Parkinson’s disease. In contrast to earlier techniques of electrical
stimulation in which electrodes are placed
temporarily in the brain and stimulated by
external devices to simply drive neuronal
activity, deep brain stimulation involves the
chronic implantation of electrodes driven
by an internal pacemaker to counteract abnormal neuronal activity. Studies on basal
ganglia function in animal models of Parkinson’s disease (5, 6) paved the way for clinical
application of deep brain stimulation of the
subthalamic nucleus in 1993 (7). Since then,
the technique has been applied in other
neurological and psychiatric disorders, both
in translational models and patients (8). In
some patients, clear therapeutic effects have
been seen, such as in dystonia, Tourette’s
syndrome, and obsessive-compulsive disorder. However, for other mental conditions
such as intractable depressions (resistant
to drugs, behavioral and electroconvulsive
treatments) the approach has failed (9). Interestingly, the same methodology of deep
brain stimulation for treating Parkinson’s
disease has been prescribed for patients
with other neurological and psychiatric disorders, mainly because of limited progress
in drug discovery for those disorders and
Department of Neurosurgery, Maastricht University Medical
Center, P. Debyelaan 25, 6202 AZ, Maastricht, Netherlands.
E-mail: [email protected]
the availability and safety of technology
for deep brain stimulation. The risk here is
that deep brain stimulation for these conditions, while hypothesis driven, lack a robust
scientific base. Its application without understanding the fundamental neuronal underpinnings of the disorders could lead to
negative outcomes, which could influence
research in the field, as well as the interest
of society.
Moreover, even with relevant knowledge,
minimal invasiveness, safety, and disorder
and symptom specificity, clinical success is
not guaranteed. For example, clinical studies
with intracranial adenovirus-based delivery
of glutamic acid decarboxylase (10) or glia
cell line–derived neurotrophic factor (11) had
unfavorable outcomes despite promising results in translational models.
After a long period of technological downtime for treating brain disorders (12), a number of new approaches have been introduced.
The DREADD approach, in which receptors
are engineered to respond to synthetic smallmolecule ligands, is gaining momentum as a
neuromodulatory approach. For example, in
an animal model of epilepsy, this approach
attenuated focal neocortical seizures (13). In
the field of deep brain stimulation, promising
methods include adaptive/closed-loop deep
brain stimulation (14) and current steering
(15). In the former, stimulation is only activated when pathological neuronal activity
starts. The latter approach involves the control of the direction of stimulation to avoid
current spread to neighboring regions. For lesional surgery, ultrasound-based approaches
are receiving interest. Speeding up these developments seems to be linked to the failure
SCIENCE sciencemag.org
of systemic drug–based approaches to deliver
breakthrough therapies for neurodegenerative and psychiatric diseases.
It is unclear whether or not hypothesisdriven molecular approaches that require viral delivery tools and genetic manipulations will enter the clinical arena.
Meanwhile, technologies such as remote
magnetothermal neuromodulation developed by Chen et al. could be used widely in
translational models to enhance our knowledge of the brain’s microcircuitry in normal
and disease states. As with the development
of deep brain stimulation for patients with
Parkinson’s disease, this new knowledge
could spur the progress of future therapies—
neuromodulation-based or not—for patients
with brain disorders. ■
REFERENCES
1. R. Chen et al., Science 347, 1477 (2015).
2. E. A. Spiegel, H. T. Wycis, M. Marks, A. J. Lee, Science 106,
349 (1947).
3. R. G. Heath, J. Nerv. Ment. Dis. 165, 300 (1977).
4. A. J. Osmundsen, “’Matador’ with a radio stops wired bull
modified behaviour in animals the subject of brain study,”
New York Times, 17 May 1965, pp. 1, 20.
5. H. Bergman, T. Wichmann, M. R. DeLong, Science 249,
1436 (1990).
6. A. Benazzouz, C. Gross, J. Féger, T. Boraud, B. Bioulac, Eur.
J. Neurosci. 5, 382 (1993).
7. P. Pollak et al., Rev. Neurol. 149, 175 (1993).
8. C. Hamani, Y. Temel, Sci. Transl. Med. 4, 142rv8 (2012).
9. T. Morishita, S. M. Fayad, M. A. Higuchi, K. A. Nestor, K. D.
Foote, Neurotherapeutics 11, 475 (2014).
10. P. A. LeWitt et al., Lancet Neurol. 10, 309 (2011).
11. A. E. Lang et al., Ann. Neurol. 59, 459 (2006).
12. C. Ineichen, W. Glannon, Y. Temel, C. R. Baumann, O.
Sürücü, Front. Hum. Neurosci. 8, 730 (2014).
13. D. Kätzel, E. Nicholson, S. Schorge, M. C. Walker, D. M.
Kullmann, Nat. Commun. 5, 3847 (2014).
14. B. Rosin et al., Neuron 72, 370 (2011).
15. M. F. Contarino et al., Neurology 83, 1163 (2014).
10.1126/science.aaa9610
27 MARCH 2015 • VOL 347 ISSUE 6229
Published by AAAS
1419
Treating brain disorders with neuromodulation
Yasin Temel and Ali Jahanshahi
Science 347, 1418 (2015);
DOI: 10.1126/science.aaa9610
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