Researchers develop better way to make painkiller from trees

Steven Karlen, left, and Vitaliy Tymokhin, scientists with the Great Lakes Bioenergy Research Center, examine a reactor used to convert chemicals in poplar trees into paracetamol, the active ingredient in Tylenol.
Photo Credit: Chelsea Mamott

Scientists at the University of Wisconsin–Madison have developed a cost-effective and environmentally sustainable way to make a popular pain reliever and other valuable products from plants instead of petroleum.

Building on a previously patented method for producing paracetamol – the active ingredient in Tylenol – the discovery promises a greener path to one of the world’s most widely used medicines and other chemicals. More importantly, it could provide new revenue streams to make cellulosic biofuels — derived from non-food plant fibers — cost competitive with fossil fuels, the primary driver of climate change.

“We did the R&D to scale it and make it realizable,” says Steven Karlen, a staff scientist at the Great Lakes Bioenergy Research Center who led the research published recently in the journal ChemSusChem.

Paracetamol, also known as acetaminophen, is one of the most widely used pharmaceuticals, with a global market value of about $130 million a year. Since it was introduced in the early 1900s, the drug has traditionally been made from derivatives of coal tar or petroleum.

Fueling nerve cell function and plasticity

The picture shows neurons (magenta) born in the adult mouse hippocampus. Nuclei are stained cyan. The extending dendrites are important sites where mechanisms of plasticity and competition for survival take place.
Photo Credit: Courtesy of ©Bergami Lab / University of Cologne

New finding from scientists at the University of Cologne discloses how mitochondria control tissue rejuvenation and synaptic plasticity in the adult mouse brain

Nerve cells (neurons) are amongst the most complex cell types in our body. They achieve this complexity during development by extending ramified branches called dendrites and axons and establishing thousands of synapses to form intricate networks. The production of most neurons is confined to embryonic development, yet few brain regions are exceptionally endowed with neurogenesis throughout adulthood. It is unclear how neurons born in these regions successfully mature and remain competitive to exert their functions within a fully formed organ. However, understanding these processes holds great potential for brain repair approaches during disease.

A team of researchers led by Professor Dr Matteo Bergami at the University of Cologne’s CECAD Cluster of Excellence in Aging Research addressed this question in mouse models, using a combination of imaging, viral tracing and electrophysiological techniques. They found that, as new neurons mature, their mitochondria (the cells’ power houses) along dendrites undergo a boost in fusion dynamics to acquire more elongated shapes. This process is key in sustaining the plasticity of new synapses and refining pre-existing brain circuits in response to complex experiences. The study ‘Enhanced mitochondrial fusion during a critical period of synaptic plasticity in adult-born neurons’ has been published in the journal Neuron.

Kerr-Enhanced Optical Spring for Next-Generation Gravitational Wave Detectors

A novel technique for enhancing optical spring that utilizes the Kerr effect to improve the sensitivity of gravitational wave detectors (GWDs) has recently been developed by scientists at Tokyo Tech. This innovative design uses optical non-linear effects from the Kerr effect in the Fabry-Perot cavity to achieve high signal amplification ratios and optical spring constant, with potential applications in not only GWDs but also in a range of optomechanical systems.

The detection of gravitational waves stands as one of the most significant achievements in modern physics. In 2017, gravitational waves from the merger of a binary neutron star were detected for the first time which uncovered crucial information about our universe, from the origin of short gamma-ray bursts to the formation of heavy elements. However, detecting gravitational waves emerging from post-merger remnants has remained elusive due to their frequency range lying outside the range of modern gravitational wave detectors (GWDs). These elusive waves hold important insights into the internal structure of neutron stars, and since these waves can be observed once every few decades by modern GWDs, there is an urgent need for next-generation GWDs.

One way to enhance the sensitivity of GWDs is signal amplification using an optical spring. Optical springs, unlike their mechanical counterparts, leverage radiation pressure force from light to mimic spring-like behavior. The stiffness of optical springs, such as in GWDs, is determined by the light power within the optical cavity. Thus, enhancing the resonant frequency of optical springs requires increasing the intracavity light power which, however, can result in thermally harmful effects and prevent the detector from working properly.

This 3D printer can figure out how to print with an unknown material

Researchers developed a 3D printer that can automatically identify the parameters of an unknown material on its own.
Photo Credit: Courtesy of the researchers
(CC BY-NC-ND 4.0 DEED)

While 3D printing has exploded in popularity, many of the plastic materials these printers use to create objects cannot be easily recycled. While new sustainable materials are emerging for use in 3D printing, they remain difficult to adopt because 3D printer settings need to be adjusted for each material, a process generally done by hand.

To print a new material from scratch, one must typically set up to 100 parameters in software that controls how the printer will extrude the material as it fabricates an object. Commonly used materials, like mass-manufactured polymers, have established sets of parameters that were perfected through tedious, trial-and-error processes.

But the properties of renewable and recyclable materials can fluctuate widely based on their composition, so fixed parameter sets are nearly impossible to create. In this case, users must come up with all these parameters by hand.

Researchers tackled this problem by developing a 3D printer that can automatically identify the parameters of an unknown material on its own.

Scientists Have Detailed the Nature of the Darkest Gamma-ray Burst in the Universe

Objects like GRB 150309A tend to be located deep within galaxies.
Photo Credit: Graham Holtshausen

An international group of scientists has presented the results of a detailed spectral analysis of the instantaneous and residual X-ray emission (afterglow) from the intense two-episode dark gamma-ray burst GRB 150309A. The researchers' task was to determine the nature of the instantaneous emission and the composition of the jet ejected in the burst. In addition, based on optical and X-ray spectral analysis of the energy distribution, the researchers performed modeling of the parent galaxy of GRB 150309A to study the surrounding interstellar medium in which this outburst occurred. The results of the analysis are presented in a paper published in the journal Astronomy and Astrophysics.

A bright flash GRB 150309A lasting about 52 seconds was detected on March 9, 2015, by the Gamma-ray Burst Observatory of the Fermi Gamma-ray Space Telescope, a space observatory in low Earth orbit. The event consisted of two bursts: about 200 seconds after the first, more powerful burst, an episode of faint and quiet emission followed.

Despite the strong gamma-ray emission, optical observations with the BOOTES (Burst Observer and Optical Transient Exploration System) and GTC (Gran Telescopio Canarias) telescopes were inconclusive: only the parent galaxy of the outburst signal was detected at optical wavelengths. The X-ray afterglow of GRB 150309A was detected about 5.2 hours after the outburst by the CIRCE instrument installed on the GTC at the Spanish La Palma Observatory.

The optical inaccessibility under intense gamma-ray emission and the intense red X-ray afterglow detected in the near-infrared with CIRCE led scientists to suggest that GRB 150309A belongs to a subclass of dark bursts.

Disparities in sleep health and insomnia may begin at a young age

Photo Credit: Komang Dewi

Most people have experienced a night or two of sleeplessness, tossing and turning while being unable to fall asleep or stay asleep. But for some people, sleep disturbances aren’t just a one-off occurrence, and they can begin in childhood.

A team, led by Penn State researchers, found that children and teens from racial and ethnic minority groups are disproportionately affected by persistent insomnia symptoms that begin in childhood and continue through young adulthood. Specifically, Black children were 2.6 times more likely to experience these long-term sleep problems compared to white children. The findings underscore the need to identify insomnia symptoms early and intervene with age-appropriate treatment.

“Insomnia is a public health problem,” said Julio Fernandez-Mendoza, professor at Penn State College of Medicine and senior author of the study recently published in the journal SLEEP. “We’ve identified that more people than we thought have childhood-onset insomnia where symptoms start in childhood and remain chronic all the way through young adulthood.”

Poor sleep is linked to cardiometabolic disease, depression and anxiety, among other concerns. Yet, when it comes to sleep and children, insomnia symptoms aren’t always taken seriously. Fernandez-Mendoza said that most people assume that difficulty falling asleep and staying asleep is a phase that kids will outgrow.

Single genomic test could speed up diagnoses for rare genetic diseases

Image Credit: Sinousxl

A new approach to analyzing exome sequencing data reliably detects large-scale genetic changes and could reduce the number of genetic tests a child might need.

A single genetic test could potentially replace the current two-step approach to diagnosing rare developmental disorders in children, enabling earlier diagnoses for families and saving the NHS vital resources.

Researchers from the University of Exeter, along with collaborators at the Wellcome Sanger Institute, and the University of Cambridge, reassessed genetic data from nearly 10,000 families from the Deciphering Developmental Disorders study.

In a new study, recently published in Genetics in Medicine, they show for the first time that using exome sequencing – which reads only protein-coding DNA – is as accurate, if not better, than standard microarrays at identifying disease-causing structural genetic variations.

Its adoption offers hope for faster and more accurate diagnoses of rare genetic diseases. It could also deliver substantial cost savings for the NHS, though more training is needed for specialists to generate and analyze the data, say researchers.

First atlas of the human ovary with cell-level resolution is a step toward artificial ovary

University of Michigan BME graduate student Jordan Machlin shows to prof. Ariella Shikanov and fellows grad student Margaret Brunette the images of oocytes in ovarian tissue she collected using RNA-fluorescence in situ hybridization.
Photo Credit: Marcin Szczepanski/Lead Multimedia Storyteller, Michigan Engineering

A new “atlas” of the human ovary provides insights that could lead to treatments restoring ovarian hormone production and the ability to have biologically related children, according to University of Michigan engineers.

This deeper understanding of the ovary means researchers could potentially create artificial ovaries in the lab using tissues that were stored and frozen before exposure to toxic medical treatments such as chemotherapy and radiation. Currently, surgeons can implant previously frozen ovarian tissue to temporarily restore hormone and egg production. However, this does not work for long because so few follicles—the structures that produce hormones and carry eggs—survive through reimplantation, the researchers say.

The new atlas reveals the factors that enable a follicle to mature, as most follicles wither away without releasing hormones or an egg. Using new tools that can identify what genes are being expressed at a single-cell level within a tissue, the team was able to home in on ovarian follicles that carry the immature precursors of eggs, known as oocytes.

Chemical reactions can scramble quantum information as well as black holes

Rice University theorist Peter Wolynes and collaborators at the University of Illinois Urbana-Champaign have shown that molecules can be as formidable at scrambling quantum information as black holes.
Image Credit: Courtesy of Martin Gruebele; DeepAI was used in image production

If you were to throw a message in a bottle into a black hole, all of the information in it, down to the quantum level, would become completely scrambled. Because in black holes this scrambling happens as quickly and thoroughly as quantum mechanics allows, they are generally considered nature’s ultimate information scramblers.

New research from Rice University theorist Peter Wolynes and collaborators at the University of Illinois Urbana-Champaign, however, shows that molecules can be as formidable at scrambling quantum information as black holes. Combining mathematical tools from black hole physics and chemical physics, they have shown that quantum information scrambling takes place in chemical reactions and can nearly reach the same quantum mechanical limit as it does in black holes. The work is published online in the Proceedings of the National Academy of Sciences.

“This study addresses a long-standing problem in chemical physics, which has to do with the question of how fast quantum information gets scrambled in molecules,” Wolynes said. “When people think about a reaction where two molecules come together, they think the atoms only perform a single motion where a bond is made or a bond is broken.

Tomorrow's reefs – the importance of environmental awareness in coral restoration

Restoration nursery in the northern Red Sea of smooth cauliflower coral (Stylophora pistillata), almost ready for reef transplantation. Classified as near-threatened, S. pistillata is native to the wider Indo-Pacific region. This nursery is at 5 metres depth, close to the Inter University Institute of Marine Science, Eilat.
Photo Credit: H Nativ/Morris Kahn Marine Research

Around the world, projects are underway to save or rebuild damaged coral reefs. However, many restoration projects fail within just a few years. Giving more consideration to current and future environmental conditions would, in many cases, improve long-term restoration success, say the researchers behind a new article published in Plos Biology.

Coral reefs are extremely valuable. An estimated 25 percent of all plants and animals in the ocean, and 1 billion people worldwide depend on them – for food, income, coastal protection or cultural traditions. But their existence is also threatened by multiple factors, such as climate change, pollution, overfishing and coastal development.

Relying on climate change mitigation alone to ensure the future viability of coral reefs is no longer realistic. Targeted efforts are now needed, and restoration of damaged coral reefs has today become a multimillion-dollar business. Nevertheless, the long-term outcome of many coral restoration projects is highly uncertain.