Research

IBM unveils fingernail sensor that can monitor PD

Recently IBM unveiled its latest innovation that could change the way how we monitor health. It’s prototype AI-powered fingernail sensor will let its users place the sensor over their fingernail to detect symptoms and track disease progression.

According to IBM, the innovation can help track cognitive functions in schizophrenics, check the effectiveness of medication in a person with Parkinson’s disease and even individuals’ cardiovascular health.

Although there are skin sensors that can monitor body activities, it is hard to place them on people with Parkinson’s disease as a majority of them are older patients with brittle skin and might lead to infection.

But by shifting the sensors to the nail, not only did they avoid the problem of skin rash that could arise from skin sensors, they were able to track the activities of hand for throughout the day which is a key factor in diagnosing degenerative neurological diseases such as in the case of Parkinson’s disease.

“Our fingernails deform — bend and move — in stereotypic ways when we use them for gripping, grasping, and even flexing and extending our fingers. This deformation is usually on the order of single digit microns and not visible to the naked eye,” said Katsuyuki Sakuma, from IBM’s Thomas J. Watson Research Center in New York.

The system consists of strain gauges attached to the fingernail and a small computer that collects data and communicates with a smart watch, which is equipped with machine learning models to rate bradykinesia, tremor, and dyskinesia which are all symptoms of Parkinson’s disease.

The AI-powered sensor monitors the bending and movement of a patient’s nail to calculate their grip strength. It then transmits the information which includes matters like nail wrap, motions, gestures, finger-writing, grip strength, and activation time from the wearable sensors to an off-finger device for interpretation and draws meaningful insight.

With this invention, IBM says that it is one step closer to materialising their longtime challenge of using AI to help clinicians monitor individuals in their natural environments. “By pushing computation to the end of our fingers, we’ve found a new use for our nails by detecting and characterising their subtle movements,” Sakuma said in closing.

Article from Analytics India Magazine.

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Using EEG data to diagnose Parkinson’s disease

Currently, diagnosis of Parkinson’s disease relies on a neurologist’s professional opinion. Researchers behind a new study believe that an EEG may be a more effective alternative.

Parkinson’s disease affects more than 10 million people worldwide, but no scan has been proved to definitively diagnose it.

Instead, a neurologist will assess a person by asking them to carry out certain tasks. These may include writing or drawing, walking, and speaking.

They will also examine the face and limbs to check for signs of tremors and facial expression difficulties.

As diagnosis is currently rather subjective, researchers have been trying to find an easier and more scientific method. A team from the University of Oregon, in Eugene, and the University of California, San Diego, has studied the possibilities of an EEG.

An EEG records electrical activity produced by the brain via small sensors attached to the scalp. Attempts to use EEG readings for Parkinson’s disease diagnosis have not always produced the results that researchers have been looking for.

Nicole Swann, Ph.D., the principal investigator of the new study and an assistant professor at the University of Oregon’s Department of Human Physiology, says that this is because, in the past, sine waves were the focal point. These are beta waves filtered to appear rounder.

A search for sharpness

But it is the angles and sharpness of brain waves that could hold the key to detecting Parkinson’s, according to the new study’s findings, which appear in the journal eNeuro.

While working on his doctorate at the University of California, San Diego, fellow study author Scott Cole, Ph.D., realized a potential link between the disease and sharp brain waves.

Using EEG readings taken from 15 Parkinson’s patients and 16 healthy individuals, the team honed in on the unfiltered waves.

“The raw signals go up and down like sine waves but with more asymmetry,” explains Swann, adding, “The steepness — the slant — turns out to be important in Parkinson’s patients.”

Indeed, the team noticed that Parkinson’s patients who were not taking medication had a sharper peak at the top of their brain wave, compared with the bottom.

Finding that a noninvasive method such as an EEG could be a promising diagnostic tool may have important consequences for the future of the disease. The team is hoping that doctors and researchers can use the test to track changes related to Parkinson’s in the brain over the years.

“We don’t know yet whether this approach will be better, but it could provide easily obtained brain measurements that would be helpful and possibly used in tandem with clinical observations and other EEG measurements,” notes Swann.

Changing the course of treatment

The EEG method could also have an effect on treatment. Currently, doctors can prescribe medication or implant an electric stimulator into the brain.

“If there were real-time measures of how effective treatments are at reducing the negative symptoms of Parkinson’s disease, treatments could be adjusted in real time,” says co-author and University of California neuroscientist Bradley Voytek, Ph.D.

“In the case of an invasive brain stimulator, this might mean only applying electric stimulation when it’s needed.”

“In the case of pharmacology, it would mean adjusting a drug’s dose, much like continuous glucose monitoring done by an implant can signal a pump to adjust insulin levels as needed.”

For the researchers, a bigger study examining EEG data, medical histories, and self-reports from patients is on the cards.

If the results prove to be consistent, people with Parkinson’s could eventually carry out their own EEGs at home, sending the data straight to a neurologist for immediate analysis.

The only issue with this, notes Voytek, is that obtaining the right brain waves is not easy to do in a home environment. Further research will prove whether this, too, can be changed.

Article from Medical News Today.

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Developing a Biomarker for Parkinson Disease

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Virtual reality reduced PD symptoms for 10 people

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Turn, stop, then sit: A research-based guide for Parkinson’s patients

Tel Aviv University team studies why patients with Parkinson’s disease have difficulty transitioning from walking to sitting, leading to greater instability and falls

 

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Digital Management of Parkinson Disease: Is Technology the Future?

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Can Imaging Genetics Analysis Effectively Identify Depression In Parkinson Disease?

A model using imaging genetics analysis was able to predict and explain the degree of depression in Parkinson disease (PD) with a lower error and higher correlation than other models over a 5-fold cross-validation, according to the results of a study published in PLoS One.

Ji Hye Won, a PhD student from the Department of Electrical and Computer Engineering, Sungkyunkwan University and the Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea, and colleagues conducted a retrospective analysis of de-identified data. They used diffusion MRI, T1-weighted MRI, and DNA genotyping data obtained from the Parkinson’s Progression Markers Initiative database for 81 patients with PD. Researchers obtained DNA samples genotyped by NeuroX genotyping arrays from the Parkinson’s Progression Markers Initiative and used the least absolute shrinkage and selection operator (LASSO) algorithm to identify regional imaging features that could characterize depression in Parkinson disease. They assessed depression clinically, using the geriatric depression scale.

The investigators identified imaging features that related significantly to the degree of depression, using the LASSO. The selected imaging features correlated strongly with the geriatric depression scale score. Using the LASSO framework, the researchers selected 3 single nucleotide polymorphisms associated with the geriatric depression scale: exm2267347, exm1187499, and exm-rs9303521. The investigators then created a linear regression model with the genetic features from the imaging genetics approach to describe clinical scores suggesting the degree of depression. They constructed other models using imaging and genetic features based on references to validate their models. These models were tested in a 5-fold cross-validation.

The investigators asserted that imaging genetics represents a powerful bottom-up approach to illuminating the mechanisms involved in psychiatric disease. They suggested that imaging genetics could be used to pinpoint neural circuits that translate genetic influences into behavior.

“Our model combining imaging and genetics information could be applied whenever a patient undergoes new imaging and thus could be used for the early prediction of depression. If detected, patients could be directed to many non-drug therapy options that are only available in the early stages of depression,” the researchers concluded.

Article from PsychiatryAdvisor.

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Manganese and Parkinson’s: Mechanism may explain link

New research, published in the journal Science Signaling, details the mechanism through which exposure to manganese can trigger protein misfolding in the brain — which may, in turn, lead to Parkinson’s-like symptoms. The findings may enable an earlier diagnosis of the neurological condition.
Manganese is an essential nutrient present in “legumes, pineapples, beans, nuts, tea, and grains.”

In the human body, manganese aids blood sugar regulation, bone formation, and immunity.

However, exposure to excessive levels of manganese may trigger Parkinson’s-like neurological symptoms. Manganese builds up in the basal ganglia area of the brain.

Researchers have known about these links between manganese and Parkinson’s for decades, but new research helps elucidate the mechanisms behind these associations.

Anumantha Kanthasamy, the Linda Lloyd Endowed Chair of Neurotoxicology at Iowa State University in Ames, led the new research.

Manganese helps transfer a faulty protein

Parkinson’s disease is characterized by clumps formed by misfolded alpha-synuclein protein. These protein aggregates are toxic to neurons.

Kanthasamy and colleagues set out to investigate how these misfolding proteins might interact with manganese to trigger the progression of Parkinson’s.

To do so, they examined data from mice and blood serum samples collected from eight welders. As a group, welders have a higher risk of prolonged manganese exposure. The research also examined a control group of 10 people.

The analyses revealed that welders with exposure to manganese had higher levels of misfolded alpha-synuclein, which puts them at a higher risk of Parkinson’s.

Additional cell culture tests showed that misfolded alpha-synuclein was secreted through small vesicles called exosomes into the extracellular space. In other words, the vesicles enabled the proteins to travel from cell to cell and further spread the misfolded protein.

The scientists also isolated alpha-synuclein-containing exosomes from alpha-synuclein-expressing cells that had exposure to manganese and delivered them to a brain area in the mice called the corpus striatum. This induced Parkinson’s-like symptoms in the mice.

Manganese seemed to accelerate the “cell-to-cell transmission” of alpha-synuclein, which, in turn, led to neurotoxicity. Kanthasamy and colleagues explain:

Together, these results indicate that [manganese] exposure promotes [alpha-synuclein] secretion in exosomal vesicles, which subsequently evokes proinflammatory and neurodegenerative responses in both cell culture and animal models.”

“[W]e identified a possible mechanism involving the exosome-mediated, cell-to-cell transmission of [alpha-synuclein] during exposure to the environmental neurotoxicant,” write the authors.

Findings may lead to earlier detection

According to the National Institutes of Health (NIH), around 50,000 individuals in the United States receive a diagnosis of Parkinson’s each year, and 500,000 people currently live with the condition.

Though the condition does not yet have a cure, diagnosing it earlier may prevent irreversible brain damage and help accelerate human clinical trials of new drugs.

The results that Kanthasamy and colleagues have just published may help scientists devise a new diagnostic test for Parkinson’s that could detect the disease much earlier on. The results may also help scientists test how effective new Parkinson’s drugs are.

“As the disease advances, it’s harder to slow it down with treatments,” Kanthasamy says. He adds: “Earlier detection, perhaps by testing for misfolded alpha-synuclein, can lead to better outcomes for patients. Such a test might also indicate whether someone is at risk before the onset of the disease.”

However, the study authors also caution that their findings are still experimental, and that such a diagnostic test may not be available for years.

Article from Medical News Today.

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Can We Repair the Brain?

Cell replacement may play an increasing role in alleviating the motor symptoms of Parkinson’s disease (PD) in future. Writing in an open access special supplement to the Journal of Parkinson’s Disease, experts describe how newly developed stem cell technologies could be used to treat the disease and discuss the great promise, as well as the significant challenges, of stem cell treatment.

The most common PD treatment today is based on enhancing the activity of the nigro-striatal pathway in the brain with dopamine-modulating therapies, thereby increasing striatal dopamine levels and improving motor impairment associated with the disease. However, this treatment has significant long-term limitations and side effects. Stem cell technologies show promise for treating PD and may play an increasing role in alleviating at least the motor symptoms, if not others, in the decades to come.

“We are in desperate need of a better way of helping people with PD. It is on the increase worldwide. There is still no cure, and medications only go part way to fully treat incoordination and movement problems,” explained co-authors Claire Henchcliffe, MD, DPhil, from the Department of Neurology, Weill Cornell Medical College, and Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; and Malin Parmar, PhD, from the Wallenberg Neuroscience Center and Lund Stem Cell Center, Lund University, Lund, Sweden. “If successful, using stem cells as a source of transplantable dopamine-producing nerve cells could revolutionize care of the PD patient in the future. A single surgery could potentially provide a transplant that would last throughout a patient’s lifespan, reducing or altogether avoiding the need for dopamine-based medications.”

The authors have analyzed how newly developed stem cell technologies could be used to treat PD, and how clinical researchers are moving very quickly to translate this technology to early clinical trials. In the past, most transplantation studies in PD used human cells from aborted embryos. While these transplants could survive and function for many years, there were scientific and ethical issues: fetal cells are in limited supply, and they are highly variable and hard to quality control. Only some patients benefited, and some developed side effects from the grafts, such as uncontrollable movements called dyskinesias.

Recent strides in stem cell technology mean that quality, consistency, activity, and safety can be assured, and that it is possible to grow essentially unlimited amounts of dopamine-producing nerve cells in the laboratory for transplantation. This approach is now rapidly moving into initial testing in clinical trials. The choice of starting material has also expanded with the availability of multiple human embryonic stem cell lines, as well as the possibilities for producing induced pluripotent cells, or neuronal cells from a patient’s own blood or skin cells. The first systematic clinical transplantation trials using pluripotent stem cells as donor tissue were initiated in Japan in 2018.

“We are moving into a very exciting era for stem cell therapy,” commented Dr. Parmar. “The first-generation cells are now being trialed and new advances in stem cell biology and genetic engineering promise even better cells and therapies in the future. There is a long road ahead in demonstrating how well stem cell-based reparative therapies will work, and much to understand about what, where, and how to deliver the cells, and to whom. But the massive strides in technology over recent years make it tempting to speculate that cell replacement may play an increasing role in alleviating at least the motor symptoms, if not others, in the decades to come.”

“With several research groups, including our own centers, quickly moving towards testing of stem cell therapies for PD, there is not only a drive to improve what is possible for our patients, but also a realization that our best chance is harmonizing efforts across groups,” added Dr. Henchcliffe. “Right now, we are just talking about the first logical step in using cell therapies in PD. Importantly, it could open the way to being able to engineer the cells to provide superior treatment, possibly using different types of cells to treat different symptoms of PD like movement problems and memory loss.”

“This approach to brain repair in PD definitely has major potential, and the coming two decades might also see even greater advances in stem cell engineering with stem cells that are tailor-made for specific patients or patient groups,” commented Patrik Brundin, MD, PhD, Van Andel Research Institute, Grand Rapids, MI, USA, and J. William Langston, MD, Stanford Udall Center, Department of Pathology, Stanford University, Palo Alto, CA, USA, Editors-in-Chief of the Journal of Parkinson’s Disease. “At the same time, there are several biological, practical, and commercial hurdles that need circumventing for this to become a routine therapy.”

Article from IOS Press.

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Coffee and Parkinson’s: Protection in the Making?

For years, drinking coffee has been associated with having a reduced risk of developing Parkinson’s disease (PD). In fact, a 1968 study suggested that coffee drinkers were less like to get PD (Nefzger, Quadfasel, & Karl, 1968). Since then, multiple epidemiologic studies have confirmed the PD/coffee connection (Ascherio et al., 2003; Ascherio et al., 2004; Fujimaki et al., 2018). Researchers have mostly attributed the protective effect to the caffeine component (Lee et al., 2013).

However, coffee is more than a caffeine delivery system. Coffee has more than 1,000 different compounds, including organic acids, sugars, amino acids and fatty acids. One such fatty acid called Eicosanoyl-5-hydroxytryptamide (EHT) has been getting quite a bit of buzz in the PD research community; and, for good reason. A recently published study titled, “Synergistic neuroprotection by coffee components eicosanoyl-5-hydroxytryptamide and caffeine in models of Parkinson’s disease and DLB” (Yan et al., 2018), provides some compelling insights into the possible biochemical protective mechanisms of our cup of joe. A recently published study in the journal, Neuropsychopharmacology, sought to determine if having ADHD and/or its treatment, increases the risk of having basal ganglia and cerebellar diseases. In this 20-year follow-up retrospective cohort study, a total of 190,586 patient records (31,796 with ADHD and 158,790 without ADHD) from Utah were examined. People with no prior PD diagnosis or symptoms, no basal ganglia/cerebellar disease and those with a history of substance abuse were excluded from participating in the study.

Here’s what the researchers did: over a six-month period, they treated groups of two different PD model mice with various combinations of caffeine and EHT (caffeine alone, EHT alone, or caffeine and EHT together) to study their effects on both brain and behavior. There was also a group of mice that received no treatment. Then they performed several behavioral tests to study their movement, as well as study their brains for signs of alpha-synuclein clumps (which result in Lewy bodies, the pathological hallmark of PD), neurodegeneration and inflammation. The study found that the untreated mice had significant amounts of clumped α-synuclein in their brains, increased inflammation and loss of neurons, as well as significant deficits on three different behavioral tests. In general, the mice treated with EHT or caffeine alone showed either no or minimal improvement in any of these measures. However, the mice treated with the combination of EHT and caffeine together showed significant improvements in all of these measures.

Results

  • More specifically, mice treated with both EHT and caffeine together:
  • Had less alpha-synuclein clumping in the brain
  • Maintained better neuron integrity and function
  • Had less brain inflammation
  • Displayed less movement symptoms

What Does This Mean?

In this study, a synergistic combination of EHT and caffeine was shown to slow down the progression of the neurodegeneration associated with PD in mice — which has potentially readily available therapeutic implications. In addition, previous research has demonstrated that caffeine enhances dopamine signaling in the brain (Volkow et al., 2015); and, it’s the death of dopamine-producing cells that results in movement symptoms of PD (and why dopamine replacement medication is the gold standard treating PD symptoms).

For years, coffee consumption has been suggested to play a protective role in developing PD. However, it was never clear what exactly in coffee had this effect. This study suggests that two compounds, caffeine and the fatty acid EHT, work together to protect against alpha- synuclein clumps and dopamine neuron loss in two different PD models of mice. Interestingly, these effects were seen even using very low doses of the compounds. If the results of this study can be replicated by other researchers, then identifying that delicate balance of safety and effectiveness for humans is likely an essential step that researchers will be investigating in the future.

References

Ascherio, A., Chen, H., Schwarzschild, M. A., Zhang, S. M., Colditz, G. A., & Speizer, F. E. (2003). Caffeine, postmenopausal estrogen, and risk of Parkinson’s disease. Neurology, 60(5), 790-795.

Ascherio, A., Weisskopf, M. G., O’Reilly, E. J., McCullough, M. L., Calle, E. E., Rodriguez, C., & Thun, M. J. (2004). Coffee consumption, gender, and Parkinson’s disease mortality in the cancer prevention study II cohort: the modifying effects of estrogen. Am J Epidemiol, 160(10), 977-984. doi:10.1093/aje/kwh312

Chang, K. L., & Ho, P. C. (2014). Gas chromatography time-of-flight mass spectrometry (GC-TOF-MS)-based metabolomics for comparison of caffeinated and decaffeinated coffee and its implications for Alzheimer’s disease. PLoS One, 9(8), e104621. doi:10.1371/journal.pone.0104621

Collaborators, G. B. D. P. s. D. (2018). Global, regional, and national burden of Parkinson’s disease, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol, 17(11), 939-953. doi:10.1016/S1474-4422(18)30295-3

Fujimaki, M., Saiki, S., Li, Y., Kaga, N., Taka, H., Hatano, T., . . . Hattori, N. (2018). Serum caffeine and metabolites are reliable biomarkers of early Parkinson disease. Neurology, 90(5), e404-e411. doi:10.1212/WNL.0000000000004888

Lee, K. W., Im, J. Y., Woo, J. M., Grosso, H., Kim, Y. S., Cristovao, A. C., . . . Mouradian, M. M. (2013). Neuroprotective and anti-inflammatory properties of a coffee component in the MPTP model of Parkinson’s disease. Neurotherapeutics, 10(1), 143-153. doi:10.1007/s13311-012-0165-2

Nefzger, M. D., Quadfasel, F. A., & Karl, V. C. (1968). A retrospective study of smoking in Parkinson’s disease. Am J Epidemiol, 88(2), 149-158.

Vicente, S. J., Ishimoto, E. Y., & Torres, E. A. (2014). Coffee modulates transcription factor Nrf2 and highly increases the activity of antioxidant enzymes in rats. J Agric Food Chem, 62(1), 116-122. doi:10.1021/jf401777m

Volkow, N. D., Wang, G. J., Logan, J., Alexoff, D., Fowler, J. S., Thanos, P. K., . . . Tomasi, D. (2015). Caffeine increases striatal dopamine D2/D3 receptor availability in the human brain. Transl Psychiatry, 5, e549. doi:10.1038/tp.2015.46

Yan, R., Zhang, J., Park, H.-J., Park, E. S., Oh, S., Zheng, H., . . . Mouradian, M. M. (2018). Synergistic neuroprotection by coffee components eicosanoyl-5-hydroxytryptamide and caffeine in models of Parkinson’s disease and DLB. Proceedings of the National Academy of Sciences, 115(51), E12053-E12062. doi:10.1073/pnas.1813365115

Article from Parkinson.org.

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