Posted on by Dr. Francis Collins
August is here, and many folks have plans to enjoy a well-deserved vacation this month. I thought you might enjoy taking a closer look during August at the wonder and beauty of the brain here on my blog, even while giving your own brains a rest from some of the usual work and deadlines.
Some of the best imagery—and best science—comes from the NIH-led Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative, a pioneering project aimed at revolutionizing our understanding of the human brain. Recently, the BRAIN Initiative held a “Show Us Your Brain Contest!”, which invited researchers involved in the effort to submit their coolest images. So, throughout this month, I’ve decided to showcase a few of these award-winning visuals.
Let’s start with the first-place winner in the still-image category. What you see above is an artistic rendering of deep brain stimulation (DBS), an approach now under clinical investigation to treat cognitive impairment that can arise after a traumatic brain injury and other conditions.
The vertical lines represent wire leads with a single electrode that has been inserted deep within the brain to reach a region involved in cognition, the central thalamus. The leads are connected to a pacemaker-like device that has been implanted in a patient’s chest (not shown). When prompted by the pacemaker, the leads’ electrode emits electrical impulses that stimulate a network of neuronal fibers (blue-white streaks) involved in arousal, which is an essential component of human consciousness. The hope is that DBS will improve attention and reduce fatigue in people with serious brain injuries that are not treatable by other means.
Andrew Janson, who is a graduate student in Christopher Butson’s NIH-supported lab at the Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, composed this image using a software program called Blender. It’s an open-source, 3D computer graphics program often used to create animated films or video games, but not typically used in biomedical research. That didn’t stop Janson.
With the consent of a woman preparing to undergo experimental DBS treatment for a serious brain injury suffered years before in a car accident, Janson used Blender to transform her clinical brain scans into a 3D representation of her brain and the neurostimulation process. Then, he used a virtual “camera” within Blender to capture the 2D rendering you see here. Janson plans to use such imagery, along with other patient-specific modeling and bioelectric fields simulations, to develop a virtual brain stimulation surgery to predict the activation of specific fiber pathways, depending upon lead location and stimulation settings.
DBS has been used for many years to relieve motor symptoms of certain movement disorders, including Parkinson’s disease and essential tremor. More recent experimental applications include this one for traumatic brain injury, and others for depression, addiction, Alzheimer’s disease, and chronic pain. As the BRAIN Initiative continues to map out the brain’s complex workings in unprecedented detail, it will be exciting to see how such information can lead to even more effective applications of to DBS to help people living with a wide range of neurological conditions.
Deep Brain Stimulation for Movement Disorders (National Institute of Neurological Disorders and Stroke/NIH)
Video: Deep Brain Stimulation (University of Utah, Salt Lake City)
Butson Lab (University of Utah)
Show Us Your Brain! (BRAIN Initiative/NIH)
NIH Support: National Institute of Neurological Disorders and Stroke
Posted on by Dr. Francis Collins
The blood-brain barrier, or BBB, is a dense sheet of cells that surrounds most of the brain’s blood vessels. The BBB’s tiny gaps let vital small molecules, such as oxygen and water, diffuse from the bloodstream into the brain while helping to keep out larger, impermeable foreign substances that don’t belong there.
But in people with certain neurological disorders—such as amyotrophic lateral sclerosis (ALS) and Huntington’s disease—abnormalities in this barrier may block the entry of biomolecules essential to healthy brain activity. The BBB also makes it difficult for needed therapies to reach their target in the brain.
To help look for solutions to these and other problems, researchers can now grow human blood-brain barriers on a chip like the one pictured above. The high-magnification image reveals some of the BBB’s cellular parts. There are endothelial-like cells (magenta), which are similar to those that line the small vessels surrounding the brain. In close association are supportive brain cells known as astrocytes (green), which help to regulate blood flow.
While similar organ chips have been created before, what sets apart this new BBB chip is its use of induced pluripotent stem cell (iPSC) technology combined with advanced chip engineering. The iPSCs, derived in this case from blood samples, make it possible to produce a living model of anyone’s unique BBB on demand.
The researchers, led by Clive Svendsen, Cedars-Sinai, Los Angeles, first use a biochemical recipe to coax a person’s white blood cells to become iPSCs. At this point, the iPSCs are capable of producing any other cell type. But the Svendsen team follows two different recipes to direct those iPSCs to differentiate into endothelial and neural cells needed to model the BBB.
Also making this BBB platform unique is its use of a sophisticated microfluidic chip, produced by Boston-based Emulate, Inc. The chip mimics conditions inside the human body, allowing the blood-brain barrier to function much as it would in a person.
The channels enable researchers to flow cerebral spinal fluid (CSF) through one side and blood through the other to create the fully functional model tissue. The BBB chips also show electrical resistance and permeability just as would be expected in a person. The model BBBs are even able to block the entry of certain drugs!
As described in Cell Stem Cell, the researchers have already created BBB chips using iPSCs from a person with Huntington’s disease and another from an individual with a rare congenital disorder called Allan-Herndon-Dudley syndrome, an inherited disorder of brain development.
In the near term, his team has plans to model ALS and Parkinson’s disease on the BBB chips. Because these chips hold the promise of modeling the human BBB more precisely than animal models, they may accelerate studies of potentially promising new drugs. Svendsen suggests that individuals with neurological conditions might one day have their own BBB chips made on demand to help in selecting the best-available therapeutic options for them. Now that’s a future we’d all like to see.
 Human iPSC-Derived Blood-Brain Barrier Chips Enable Disease Modeling and Personalized Medicine Applications. Vatine GD, Barrile R, Workman MJ, Sances S, Barriga BK, Rahnama M, Barthakur S, Kasendra M, Lucchesi C, Kerns J, Wen N, Spivia WR, Chen Z, Van Eyk J, Svendsen CN. Cell Stem Cell. 2019 Jun 6;24(6):995-1005.e6.
Tissue Chip for Drug Screening (National Center for Advancing Translational Sciences/NIH)
Stem Cell Information (NIH)
Svendsen Lab (Cedars-Sinai, Los Angeles)
NIH Support: National Institute of Neurological Disorders and Stroke; National Center for Advancing Translational Sciences
Posted on by Dr. Francis Collins
Scientists continue to uncover the many fascinating ways in which the trillions of microbes that inhabit the human body influence our health. Now comes yet another surprising discovery: a medicine-eating bacterium residing in the human gut that may affect how well someone responds to the most commonly prescribed drug for Parkinson’s disease.
There have been previous hints that gut microbes might influence the effectiveness of levodopa (L-dopa), which helps to ease the stiffness, rigidity, and slowness of movement associated with Parkinson’s disease. Now, in findings published in Science, an NIH-funded team has identified a specific, gut-dwelling bacterium that consumes L-dopa . The scientists have also identified the bacterial genes and enzymes involved in the process.
Parkinson’s disease is a progressive neurodegenerative condition in which the dopamine-producing cells in a portion of the brain called the substantia nigra begin to sicken and die. Because these cells and their dopamine are critical for controlling movement, their death leads to the familiar tremor, difficulty moving, and the characteristic slow gait. As the disease progresses, cognitive and behavioral problems can take hold, including depression, personality shifts, and sleep disturbances.
For the 10 million people in the world now living with this neurodegenerative disorder, and for those who’ve gone before them, L-dopa has been for the last 50 years the mainstay of treatment to help alleviate those motor symptoms. The drug is a precursor of dopamine, and, unlike dopamine, it has the advantage of crossing the blood-brain barrier. Once inside the brain, an enzyme called DOPA decarboxylase converts L-dopa to dopamine.
Unfortunately, only a small fraction of L-dopa ever reaches the brain, contributing to big differences in the drug’s efficacy from person to person. Since the 1970s, researchers have suspected that these differences could be traced, in part, to microbes in the gut breaking down L-dopa before it gets to the brain.
To take a closer look in the new study, Vayu Maini Rekdal and Emily Balskus, Harvard University, Cambridge, MA, turned to data from the NIH-supported Human Microbiome Project (HMP). The project used DNA sequencing to identify and characterize the diverse collection of microbes that populate the healthy human body.
The researchers sifted through the HMP database for bacterial DNA sequences that appeared to encode an enzyme capable of converting L-dopa to dopamine. They found what they were looking for in a bacterial group known as Enterococcus, which often inhabits the human gastrointestinal tract.
Next, they tested the ability of seven representative Enterococcus strains to transform L-dopa. Only one fit the bill: a bacterium called Enterococcus faecalis, which commonly resides in a healthy gut microbiome. In their tests, this bacterium avidly consumed all the L-dopa, using its own version of a decarboxylase enzyme. When a specific gene in its genome was inactivated, E. faecalis stopped breaking down L-dopa.
These studies also revealed variability among human microbiome samples. In seven stool samples, the microbes tested didn’t consume L-dopa at all. But in 12 other samples, microbes consumed 25 to 98 percent of the L-dopa!
The researchers went on to find a strong association between the degree of L-dopa consumption and the abundance of E. faecalis in a particular microbiome sample. They also showed that adding E. faecalis to a sample that couldn’t consume L-dopa transformed it into one that could.
So how can this information be used to help people with Parkinson’s disease? Answers are already appearing. The researchers have found a small molecule that prevents the E. faecalis decarboxylase from modifying L-dopa—without harming the microbe and possibly destabilizing an otherwise healthy gut microbiome.
The finding suggests that the human gut microbiome might hold a key to predicting how well people with Parkinson’s disease will respond to L-dopa, and ultimately improving treatment outcomes. The finding also serves to remind us just how much the microbiome still has to tell us about human health and well-being.
 Discovery and inhibition of an interspecies gut bacterial pathway for Levodopa metabolism. Maini Rekdal V, Bess EN, Bisanz JE, Turnbaugh PJ, Balskus EP. Science. 2019 Jun 14;364(6445).
Parkinson’s Disease Information Page (National Institute of Neurological Disorders and Stroke/NIH)
Balskus Lab (Harvard University, Cambridge, MA)
NIH Support: National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute
Posted on by Dr. Francis Collins
Millions of people take medications each day for epilepsy, a diverse group of disorders characterized by seizures. But, for about a third of people with epilepsy, current drug treatments don’t work very well. What’s more, the medications are designed to treat symptoms of these disorders, basically by suppressing seizure activity. The medications don’t really change the underlying causes, which are wired deep within the brain.
Gemma Carvill, a researcher at Northwestern University Feinberg School of Medicine, Chicago, wants to help change that in the years ahead. She’s dedicated her research career to discovering the genetic causes of epilepsy in hopes of one day designing treatments that can control or even cure some forms of the disorder .
It certainly won’t be easy. A recent paper put the number of known genes associated with epilepsy at close to 1,000 . However, because some disease-causing genetic variants may arise during development, and therefore occur only within the brain, it’s possible that additional genetic causes of epilepsy are still waiting to be discovered within the billions of cells and their trillions of interconnections.
To find these new leads, Carvill won’t have to rely only on biopsies of brain tissue. She’s received a 2018 NIH Director’s New Innovator Award in search of answers hidden within “liquid biopsies”—tiny fragments of DNA that research in other forms of brain injury and neurological disease  suggests may spill into the bloodstream and cerebrospinal fluid (CSF) from dying neurons or other brain cells following a seizure.
Carvill and team will start with mouse models of epilepsy to test whether it’s possible to detect DNA fragments from the brain in bodily fluids after a seizure. They’ll also attempt to show DNA fragments carry telltale signatures indicating from which cells and tissues in the brain those molecules originate. The hope is these initial studies will also tell them the best time after a seizure to collect blood samples.
In people, Carvill’s team will collect the DNA fragments and begin searching for genetic alterations to explain the seizures, capitalizing on Carvill’s considerable expertise in the use of next generation DNA sequencing technology for ferreting out disease-causing variants. Importantly, if this innovative work in epilepsy pans out, it also can be applied to any other neurological condition in which DNA spills from dying brain cells, including Alzheimer’s disease and Parkinson’s disease.
 Unravelling the genetic architecture of autosomal recessive epilepsy in the genomic era. Calhoun JD, Carvill GL. J Neurogenet. 2018 Sep 24:1-18.
 Epilepsy-associated genes. Wang J, Lin ZJ, Liu L, Xu HQ, Shi YW, Yi YH, He N, Liao WP. Seizure. 2017 Jan;44:11-20.
 Identification of tissue-specific cell death using methylation patterns of circulating DNA. Lehmann-Werman R, Neiman D, Zemmour H, Moss J, Magenheim J, Vaknin-Dembinsky A, Rubertsson S, Nellgård B, Blennow K, Zetterberg H, Spalding K, Haller MJ, Wasserfall CH, Schatz DA, Greenbaum CJ, Dorrell C, Grompe M, Zick A, Hubert A, Maoz M, Fendrich V, Bartsch DK, Golan T, Ben Sasson SA, Zamir G, Razin A, Cedar H, Shapiro AM, Glaser B, Shemer R, Dor Y. Proc Natl Acad Sci U S A. 2016 Mar 29;113(13):E1826-34.
Epilepsy Information Page (National Institute of Neurological Disorders and Stroke/NIH)
Gemma Carvill Lab (Northwestern University Feinberg School of Medicine, Chicago)
Carvill Project Information (NIH RePORTER)
NIH Director’s New Innovator Award (Common Fund)
NIH Support: Common Fund; National Institute of Neurological Disorders and Stroke
Posted on by Dr. Francis Collins
For centuries, scientists have trained themselves to look through microscopes and carefully study their structural and molecular features. But those long hours bent over a microscope poring over microscopic images could be less necessary in the years ahead. The job of analyzing cellular features could one day belong to specially trained computers.
In a new study published in the journal Cell, researchers trained computers by feeding them paired sets of fluorescently labeled and unlabeled images of brain tissue millions of times in a row . This allowed the computers to discern patterns in the images, form rules, and apply them to viewing future images. Using this so-called deep learning approach, the researchers demonstrated that the computers not only learned to recognize individual cells, they also developed an almost superhuman ability to identify the cell type and whether a cell was alive or dead. Even more remarkable, the trained computers made all those calls without any need for harsh chemical labels, including fluorescent dyes or stains, which researchers normally require to study cells. In other words, the computers learned to “see” the invisible!
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