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Thursday, August 2, 2018

How to make the gene-editing tool CRISPR work even better


An illustration of how CAS-12A works with DNA.
Credit: Illustration by Jenna Luecke, University of Texas at Austin
Among the most significant scientific advances in recent years are the discovery and development of new ways to genetically modify living things using a fast and affordable technology called CRISPR. Now scientists at The University of Texas at Austin say they’ve identified an easy upgrade for the technology that would lead to more accurate gene editing with increased safety that could open the door for gene editing safe enough for use in humans.
The team of molecular biologists found conclusive evidence that Cas9, the most popular enzyme currently used in CRISPR gene editing and the first to be discovered, has less effectiveness and precision than one of the lesser-used CRISPR proteins, called Cas12a.
Because Cas9 is more likely to edit the wrong part of a plant’s or animal’s genome, disrupting healthy functions, the scientists make the case that switching to Cas12a would lead to safer and more effective gene editing in their study published Aug. 2 in the journal Molecular Cell.
“The overall goal is to find the best enzyme that nature gave us and then make it better still, rather than taking the first one that was discovered through historical accident,” said Ilya Finkelstein, an assistant professor of molecular biosciences and a co-author of the study.
Scientists are already using CRISPR, a natural mechanism used by bacteria to defend against viruses, to learn more about human genes, genetically modify plants and animals and develop such science-fiction-inspired advances as pigs that contain a fat-fighting mouse gene, leading to leaner bacon. Many expect CRISPR to lead to new treatments for human diseases and crops that have higher yield or resist droughts and pests.
But the CRISPR systems found in nature sometimes target the wrong spot in a genome, which — applied to humans — could be disastrous, for example, failing to correct for a genetic disease and instead turning healthy cells into cancerous cells.
Some previous studies have hinted that Cas12a is choosier than Cas9, but the research before now was inconclusive. This latest study, the researchers say, closes the case by showing that Cas12a is a more precise gene-editing scalpel than Cas9 and explaining why.
The team, led by graduate student Isabel Strohkendl and professor Rick Russell, found that Cas12a is choosier because it binds like Velcro to a genomic target, whereas Cas9 binds to its target more like super glue. Each enzyme carries a short string of genetic code written in RNA that matches a target string of genetic code written in the DNA of a virus. When it bumps into some DNA, the enzyme starts trying to bind to it by forming base pairs — starting at one end and working its way along, testing to see how well each letter on one side (the DNA) matches the adjacent letter on the other side (the RNA).
For Cas9, each base pair sticks together tightly, like a dab of super glue. If the first few letters on each side match well, then Cas9 is already strongly bound to the DNA. In other words, Cas9 pays attention to the first seven or eight letters in the genomic target, but pays less attention as the process goes on, meaning it can easily overlook a mismatch later in the process that would lead it to edit the wrong part of the genome.
For Cas12a, it’s more like a Velcro strap. At each point along the way, the bonds are relatively weak. It takes a good match all along the strip for the two sides to hold together long enough to make an edit. That makes it much more likely that it will edit only the intended part of the genome.
“It makes the process of base-pair formation more reversible,” Russell said. “In other words, Cas12a does a better job of checking each base pair before moving on to the next one. After seven or eight letters, Cas9 stops checking, whereas Cas12a keeps on checking out to about 18 letters.”
The researchers said that Cas12a still isn’t perfect, but the study also suggests ways that Cas12a can be improved further, perhaps one day realizing the dream of creating a “precision scalpel,” an essentially error-proof gene-editing tool.
“On the whole, Cas12a is better, but there were some areas where Cas12a was still surprisingly blind to some mispairing between its RNA and the genomic target,” Finkelstein said. “So what our work does is show a clear path forward for improving Cas12a further.”
The researchers are currently using these insights in a follow-on project designed to engineer an improved Cas12a.
The study’s other co-authors are graduate student James Rybarski and former undergraduate student Fatema Saifuddin.
This work was supported by grants from the National Institute of General Medical Sciences and the Welch Foundation.
Story Source:
Materials provided by University of Texas at AustinNote: Content may be edited for style and length.

Journal Reference:
  1. Isabel Strohkendl, Fatema A. Saifuddin, James R. Rybarski, Ilya J. Finkelstein, Rick Russell. Kinetic Basis for DNA Target Specificity of CRISPR-Cas12aMolecular Cell, 2018; DOI: 10.1016/j.molcel.2018.06.043

Can Google Glass Help Kids With Autism Read Faces?


Google Glass paired with face-recognition software may help children with autism spectrum disorder (ASD) recognize facial expressions, a pilot study suggests.
Superpower Glass, a machine-learning-assisted software system that runs on Google Glass and an Android smartphone, helped children with autism understand emotions conveyed in faces and improve social skills, reported Dennis Wall, PhD, of Stanford University, and co-authors in npj Digital Medicine.
“This is a viable strategy to deliver social training,” Wall said in an interview with MedPage Today. “It encourages facial contact and social interaction, but it also provides an appreciation of the salience of emotion, that there is something interesting inherently about human faces.”
“It’s exciting, fun, and functional,” he added. “In fact, the children in the study called it their superpower, so we decided to call it Superpower Glass.”
The Google Glass device, which links to a smartphone, consists of an eyeglasses-like frame with a camera to record the wearer’s field of view, a small screen, and a speaker. As a child interacts with other people, the app identifies and names their emotions through the Google Glass speaker or screen.
In this feasibility study, Wall and colleagues sent the Superpower Glass tool home with 14 families and assessed how children changed along three measures: the Social Responsiveness Scale (SRS-2; a rating scale measuring deficits in social behavior), a facial affect recognition task, and qualitative parent reports. Each family had a child between the ages of 3 and 17 with a clinically confirmed autism diagnosis.
Families completed three or more 20-minute sessions with Superpower Glass a week, for an average of 72 days. Overall, families chose evenly between structured interactive games (“Capture the Smile” and “Guess the Emotion”) and free play, although families with children who had more severe autism were more likely to choose structured game modes.
During the study, the children’s average SRS-2 score decreased by 7.38 points (P<0.001), indicating less severe autism symptoms. Six of the 14 participants had large enough drops in scores to move down one step in autism classification: four from severe to moderate, one from moderate to mild, and one from mild to normal.
Twelve of the 14 families said their children made more eye contact after receiving the treatment. Facial affect recognition scores also increased by 9.55 correct responses on average (P<0.01).
The therapy used in Superpower Glass is based on applied behavior analysis, an autism treatment that teaches emotion recognition through structured exercises, including flash cards with faces that have different emotions.
Superpower Glass could help fill a major gap in autism care, Wall said: because of a shortage of trained therapists, children now wait as long as 18 months after an autism diagnosis to receive therapy.
Still, the findings should be interpreted cautiously, since this was a small pilot study without a control arm, he said. The research team recently completed a larger, randomized controlled trial comparing Superpower Glass with standard care, and the results should be published later this year, Wall noted.
The research was supported by the National Institutes of Health, the Hartwell Foundation, the Bill and Melinda Gates Foundation, the Coulter Foundation, and the Lucile Packard Foundation, as well as by program grants from Stanford’s Precision Health and Integrated Diagnostics Center, Beckman Center, Bio-X Center, the Predictives and Diagnostics Accelerator Program, the Child Health Research Institute, and Human-Centered AI. In-kind material grants included a gift from Google (35 units of Google Glass version 1) and Amazon Web Services founder support.
The authors reported having no competing interests.
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Anthem, doc.ai to test blockchain-enabled AI to predict allergies


  • Anthem is teaming up with blockchain-based artificial intelligence platform doc.ai to explore whether AI can be used to predict when people will experience allergic reactions.
  • Using a framework developed by doc.ai and advisers from Harvard Medical School, machine learning will identify predictive models for allergies based on data such as age, height, weight, pollution exposure and physical activity collected from Anthem employees and members of the public.
  • Doc.ai streamlines the clinical trial process by including recruitment, engagement, ongoing data collection and the predictive models on a single platform, according to Anthem. The year-long trial launched Wednesday.

Blockchain is gaining momentum in healthcare. A recent Black Book Market Research survey found 76% of health insurance executives and 19% of hospital leaders said they were either thinking about deploying the technology or already using it. Even more — 82% of payers and 29% of hospitals — reported having a working knowledge of blockchain.
Earlier this year, Humana, Optum, UnitedHealthcare and Quest announced a blockchain-enabled pilot to improve data quality and cut time and costs associated with changes to updating provider network registries.
And last month, the U.S. Patent and Trademark Office granted Walmart a patent for a system that stores a person’s medical information in a blockchain database and allows first responders to access it in a medical emergency.
AI-powered studies like this one could help with population health by getting people to share real-time personal health data with doctors and researchers to better predict and improve patient outcomes. If it is able to predict problems, improve care and save money, that will bolster the potential for these types of tech platforms and offer providers an alternative to prior authorization and coverage restrictions.
The allergy study with Anthem is the first of several that doc.ai hopes to conduct in the coming months. Other data targets include epilepsy, Crohn’s disease, Lyme disease and pain management.
Anthem employees could see near-term benefits from the study, CEO Gail Boudreaux said in a statement, adding there is, “longer-term, the potential to redefine how we treat disease and manage chronic medical conditions to achieve better personalized health outcomes.”

With high expectations on Provenge, Dendreon is sold (again) in $832M deal


Dendreon — and its faded cancer star Provenge — is changing hands for the second time in less than two years.
Their new owner is Nanjing Xinbai, a department store conglomerate that’s been beefing up its pharmaceutical business, which first proposed to snap up the prostate cancer cell therapy last November.

The deal is valued at $872 million (CNY 59,680,000,000), though no cash is involved. Sanpower Group, which currently owns Dendreon through a Hong Kong-based subsidiary called Shiding Shengwu Biotechnology, is also a controlling stockholder of Xinbai. In exchange for selling Shiding, it’s getting 180 million more of Xinbai’s shares, boosting its holding from 33.1% to 42.43%.
These are expensive shares. Sanpower is effectively betting $511 million on Dendreon’s future earning potential by paying a 60% premium over Xinbai’s current stock price. And that’s after paying $820 million in cash to nab the company from Valeant, early 2017, in the first place.
“Sanpower sacrificed CNY3.5 billion of its own interest to infuse Dendreon into Nanjing Xinbai as promised,” Guikan Hua, Sanpower vice president and spokesperson, told The Paper, “showing the stockerholders’ full support and optimism toward Nanjing Xinbai.”
That level of confidence would fit with the impression I got from Dendreon CEO Jim Caggiano, who told me late last year — before Xinbai would announce its intentions to buy the company — that Sanpower “has proven to be a great partner” who’s very hands off in the US while leading the charge to bring Provenge to Hong Kong and mainland China.
Currently approved in the US and parts of Europe, Provenge is an autologous cell therapy that requires a quick turnaround in the manufacturing process. With help from Sanpower, Seal Beach, CA-based Dendreon has set up shop in Hong Kong with goals of completing tech transfer and identifying permanent manufacturing operations to eventually support commercialization in the region.

Alnylam Pharmaceuticals Q2 revenues up 88%


Alnylam Pharmaceuticals (ALNY +3.2%Q2 results: Revenues: $29.9M (+88.1%).
Net Loss: ($163.6M) (-38.2%); Non-GAAP Net Loss: ($161.9M) (-71.5%); Loss Per Share: ($1.63) (-21.6%); Non-GAAP Loss Per Share: ($1.61) (-50.5%).
The Company is on track to start the Phase 3 study in late 2018 and plans to start additional Phase 3 studies of ALN-TTRsc02, including in wild-type ATTR amyloidosis, in 2019.
Upcoming Events: In mid-2018, Alnylam intends to:Achieve FDA approval and launch ONPATTRO in the U.S.
Gain regulatory approval for ONPATTRO from the EC, File a Japanese NDA for ONPATTRO with the Pharmaceuticals and Medical Device Agency.
Initiate the lumasiran Phase 3 study.
In late 2018, Alnylam intends to: File for regulatory approval for ONPATTRO in additional global markets.
File an NDA for givosiran with the FDA for accelerated approval, assuming positive results and acceptable safety from the interim analysis of the ENVISION Phase 3 study and pending FDA review.
Present updated data from the Phase 1/2 and OLE studies of lumasiran, at the ESPN Annual Meeting in Antalya, Turkey and at the ASN Kidney Week Meeting in San Diego, CA., respectively, in October.
Initiate the Phase 3 study for ALN-TTRsc02 in hATTR amyloidosis.
File new Investigational New Drug, including ALN-AAT02 and ALN-HBV02 (also known as VIR-2218).
Complete selection of its first CNS-targeted development candidate.

Allergan suing Pfizer to force the company to cover opioid suit damages


Allergan must pay as a result of hundreds of lawsuits alleging it deceptively marketed an opioid acquired from Pfizer, Reuters reports. In the suit, which was filed in federal court in Cleveland, Ohio, Allergan said that the “primary basis” for the claims against it was the alleged improper marketing and sale of Kadian, a form of morphine, in the years before it acquired the rights to the drug a decade ago, the report says. “But now that more than a thousand lawsuits seek to impose liability for that very marketing and sale, Pfizer has rejected any responsibility to indemnify Allergan,” claims Allergan Finance LLC, the subsidiary that filed the lawsuit

Powerful, viscous disinfectants can be formulated into breathable mist


A team of engineers and physicians in San Diego have developed a device that diffuses potent disinfectants for airborne delivery. Notably, the device works on a range of disinfectants that have never been atomized before, such as Triethylene glycol, or TEG.
In a study published in the August issue of Applied Microbiology and Biotechnology, the team used the device to atomize disinfectants onto environmental surfaces contaminated with bacteria and showed that it effectively eliminated 100 percent of bacteria that commonly cause hospital-acquired infections. In addition, atomized bleach solution, ethanol and TEG completely eliminated highly multi-drug resistant strains of bacteria including K. pneumoniae.
“Cleaning and disinfecting environmental surfaces in healthcare facilities is a critical infection prevention and control practice,” said Dr. Monika Kumaraswamy, a physician scientist at the University of California San Diego, hospital epidemiologist at the VA San Diego Healthcare System and corresponding author on the paper. “This device will make it much easier to keep hospital rooms clean.”
Researchers point out that one in 25 patients who checked into hospitals in 2011 (the last year for which data was available) had to prolong their stay because of healthcare-related infections developed within the hospital.
The technology has broader potential applications too. It could be used to deliver a whole new class of medicines to patients via inhalers.
“Our goal is to make injectable treatments inhalable,” said James Friend, a professor of mechanical engineering at the UC San Diego Jacobs School of Engineering and one of the paper’s authors.
Researchers built the device using off-the-shelf smartphone components that produce acoustic waves. In phones, these parts are used mainly to filter wireless cellular signals and identify and filter voice and data information.
In this study, researchers used the smartphone components to generate sound waves at extremely high frequencies — ranging from 100 million to 10 billion hertz — in order to create fluid capillary waves, which in turn emit droplets and generate mist. This process is called atomization.
Currently, fluids can be atomized by mechanical means like in perfume and cologne sprayers, or by using ultrasound. But these methods either don’t work well with viscous fluids, require too much power, or break down some of the fluids’ active ingredients. They also require expensive equipment.
The technology used in this paper doesn’t have these drawbacks. That’s because the smart phone components use Lithium Niobate, or LN, a material that produces more energy efficient and more reliable ultrasonic vibrations. As a result, the device can atomize even the most viscous fluids into a fine mist that can drift in the air for more than an hour.
The device was built by Friend’s research group and tested in the laboratory of Dr. Victor Nizet at the UC San Diego School of Medicine, in experiments led by Kumaraswamy.
Although the device worked well on pneumonia-causing bacteria and on various multi-drug resistant strains of other pathogens, atomized TEG did not eliminate MRSA, much to the researchers’ surprise. “People told us TEG kills everything,” Friend said. “Well that’s just not true: in atomized droplet form, it was not all that effective at doing away with MRSA.”
Researchers are now working on building an updated prototype to use in a hospital setting, a process that they expect to take one or two years. The device also could be used in airports, airplanes and in public transportation during flu season, for example.
Story Source:
Materials provided by University of California – San DiegoNote: Content may be edited for style and length.

Journal Reference:
  1. Monika Kumaraswamy, Sean Collignon, Carter Do, Janie Kim, Victor Nizet, James Friend. Decontaminating surfaces with atomized disinfectants generated by a novel thickness-mode lithium niobate deviceApplied Microbiology and Biotechnology, 2018; 102 (15): 6459 DOI: 10.1007/s00253-018-9088-0