Summary: Mouse study reveals exercise increases dopamine signaling in motor areas of the brain. The findings may explain why exercise eases symptoms of Parkinson’s disease.
Source: SfN
Exercise increases dopamine signaling in the motor areas of mice, according to research recently published in Journal of Neuroscience.
In the not-too-distant future, many of us may routinely use 3D headsets to interact in the metaverse with virtual iterations of companies, friends, and life-like company assistants. These may include Lily from AT&T, Flo from Progressive, Jake from State Farm, and the Swami from CarShield. We’ll also be interacting with new friends like Nestlé‘s Cookie Coach, Ruth, the World Health Organization’s Digital Health worker Florence, and many others.
Creating digital characters for virtual reality apps and in ecommerce is a fast-rising new segment of IT. San Francisco-based Soul Machines, a company that is rooted in both the animation and artificial intelligence (AI) sectors, is jumping at the opportunity to create animated digital avatars to bolster interactions in the metaverse. Customers are much more likely to buy something when a familiar face — digital or human — is involved.
Investors, understandably, are hot on the idea. This week, the 6-year-old company revealed an infusion of series B financing ($70 million) led by new investor SoftBank Vision Fund 2, bringing the company’s total funding to $135 million to date.
The latest COVID-19 variant – dubbed BA.2.12.1 – has been linked to 43% of total coronavirus cases in the U.S., a jump from 7% in April.
And, as more data about the variant becomes known, a pattern in early symptoms is emerging. BA.2.12.1 is a descendant of the BA.2 virus, a subvariant of the omicron strain of COVID. It has the ability transmit easier than its predecessors and expect it to become the dominant strain of COVID-19 within a few weeks.
Like previous COVID omicron strains, BA.2.12.1 often presents with upper respiratory symptoms that can appear like the flu. Experts said BA.2.12.1 is triggering mild breakthrough cases in vaccinated individuals with people feeling like they are suffering from a cold or seasonal allergies.
The individuals live together but are not linked to the case announced on 7 May, health agency says.
Gene editing reverses brain genetic reprogramming caused by adolescent binge drinking.
Gene editing may be a potential treatment for anxiety and alcohol use disorder in adults who were exposed to binge drinking in their adolescence, according to the findings of an animal study published on May 4, 2022, in the journal Science Advances.
The study was issued by researchers from the University of Illinois Chicago (UIC) who have been studying the effects of early-life binge drinking on health later in life.
Modulating pet gut microbiomes for longer, healthier & happier lives — dr. holly ganz, CSO and co-founder, animalbiome.
Dr. Holly Ganz, Ph.D. is Chief Science Officer And Co-Founder of AnimalBiome (https://animalbiome.com/home), a company with a goal of helping cats and dogs lead longer, happier lives by using science to unlock the mysteries of the pet gut microbiome, providing access to genetic data on the health of the gut microbiome, better ways to log health and diet records, and offering remedies to treat chronic digestive disorders.
New estimates from the World Health Organization (WHO) show that the full death toll associated directly or indirectly with the COVID-19 pandemic (described as “excess mortality”) between 1 January 2020 and 31 December 2021 was approximately 14.9 million (range 13.3 million to 16.6 million). “These sobering data not only point to the impact of the pandemic but also to the need for all countries to invest in more resilient health systems that can sustain essential health services during crises, including stronger health information systems,” said Dr Tedros Adhanom Ghebreyesus, WHO Director-General. “WHO is committed to working with all countries to strengthen their health information systems to generate better data for better decisions and better outcomes.” Excess mortality is calculated as the difference between the number of deaths that have occurred and the number that would be expected in the absence of the pandemic based on data from earlier years. Excess mortality includes deaths associated with COVID-19 directly (due to the disease) or indirectly (due to the pandemic’s impact on health systems and society). Deaths linked indirectly to COVID-19 are attributable to other health conditions for which people were unable to access prevention and treatment because health systems were overburdened by the pandemic. The estimated number of excess deaths can be influenced also by deaths averted during the pandemic due to lower risks of certain events, like motor-vehicle accidents or occupational injuries. Most of the excess deaths (84%) are concentrated in South-East Asia, Europe, and the Americas. Some 68% of excess deaths are concentrated in just 10 countries globally. Middle-income countries account for 81% of the 14.9 million excess deaths (53% in lower-middle-income countries and 28% in upper-middle-income countries) over the 24-month period, with high-income and low-income countries each accounting for 15% and 4%, respectively. The estimates for a 24-month period (2020 and 2021) include a breakdown of excess mortality by age and sex. They confirm that the global death toll was higher for men than for women (57% male, 43% female) and higher among older adults. The absolute count of the excess deaths is affected by the population size. The number of excess deaths per 100,000 gives a more objective picture of the pandemic than reported COVID-19 mortality data.“Measurement of excess mortality is an essential component to understand the impact of the pandemic. Shifts in mortality trends provide decision-makers information to guide policies to reduce mortality and effectively prevent future crises. Because of limited investments in data systems in many countries, the true extent of excess mortality often remains hidden,” said Dr Samira Asma, Assistant Director-General for Data, Analytics and Delivery at WHO. “These new estimates use the best available data and have been produced using a robust methodology and a completely transparent approach.”“Data is the foundation of our work every day to promote health, keep the world safe, and serve the vulnerable. We know where the data gaps are, and we must collectively intensify our support to countries, so that every country has the capability to track outbreaks in real-time, ensure delivery of essential health services, and safeguard population health,” said Dr Ibrahima Socé Fall, Assistant Director-General for Emergency Response. The production of these estimates is a result of a global collaboration supported by the work of the Technical Advisory Group for COVID-19 Mortality Assessment and country consultations. This group, convened jointly by the WHO and the United Nations Department of Economic and Social Affairs (UN DESA), consists of many of the world’s leading experts, who developed an innovative methodology to generate comparable mortality estimates even where data are incomplete or unavailable. This methodology has been invaluable as many countries still lack capacity for reliable mortality surveillance and therefore do not collect and generate the data needed to calculate excess mortality. Using the publicly available methodology, countries can use their own data to generate or update their own estimates. “The United Nations system is working together to deliver an authoritative assessment of the global toll of lives lost from the pandemic. This work is an important part of UN DESA’s ongoing collaboration with WHO and other partners to improve global mortality estimates,” said Mr Liu Zhenmin, United Nations Under-Secretary-General for Economic and Social Affairs. Mr Stefan Schweinfest, Director of the Statistics Division of UN DESA, added: “Data deficiencies make it difficult to assess the true scope of a crisis, with serious consequences for people’s lives. The pandemic has been a stark reminder of the need for better coordination of data systems within countries and for increased international support for building better systems, including for the registration of deaths and other vital events.” Note for editors: The methods were developed by the Technical Advisory Group for COVID-19 Mortality Assessment, co-chaired by Professor Debbie Bradshaw and Dr. Kevin McCormack with extensive support from Professor Jon Wakefield at the University of Washington. The methods rely on a statistical model derived using information from countries with adequate data; the model is used to generate estimates for countries with little or no data available. The methods and estimates will continue to be updated as additional data become available and in consultation with countries.
Circa 2017
Schizophrenia is a genetically related mental illness, in which the majority of genetic alterations occur in the non-coding regions of the human genome. In the past decade, a growing number of regulatory non-coding RNAs (ncRNAs) including microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) have been identified to be strongly associated with schizophrenia. However, the studies of these ncRNAs in the pathophysiology of schizophrenia and the reverting of their genetic defects in restoration of the normal phenotype have been hampered by insufficient technology to manipulate these ncRNA genes effectively as well as a lack of appropriate animal models. Most recently, a revolutionary gene editing technology known as Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated nuclease 9 (Cas9; CRISPR/Cas9) has been developed that enable researchers to overcome these challenges. In this review article, we mainly focus on the schizophrenia-related ncRNAs and the use of CRISPR/Cas9-mediated editing on the non-coding regions of the genomic DNA in proving causal relationship between the genetic defects and the pathophysiology of schizophrenia. We subsequently discuss the potential of translating this advanced technology into a clinical therapy for schizophrenia, although the CRISPR/Cas9 technology is currently still in its infancy and immature to put into use in the treatment of diseases. Furthermore, we suggest strategies to accelerate the pace from the bench to the bedside. This review describes the application of the powerful and feasible CRISPR/Cas9 technology to manipulate schizophrenia-associated ncRNA genes. This technology could help researchers tackle this complex health problem and perhaps other genetically related mental disorders due to the overlapping genetic alterations of schizophrenia with other mental illnesses.
Keywords: CRISPR/Cas9; gene editing; lncRNAs; miRNAs; non-coding RNAs; schizophrenia.
The cellular forms of natural materials are the inspiration behind a new lightweight, 3D printed smart architected material developed by an international team of engineers.
The team, led by engineers from the University of Glasgow, mixed a common form of industrial plastic with carbon nanotubes to create a material which is tougher, stronger and smarter than comparable conventional materials.
The nanotubes also allow the otherwise nonconductive plastic to carry an electric charge throughout its structure. When the structure is subjected to mechanical loads, its electrical resistance changes. This phenomenon, known as piezoresitivity, gives the material the ability to “sense” its structural health.
On account of the improvement the Internet of things (IoTs) and smart devices, our lives have been noticeably facilitated in the past few years. Machines and devices are becoming more ingenious with the help of artificial intelligence and various sensors1,2. So, integrated circuits are necessary to provide convenient and effectual communication3 Since the first report on TENG by Wang’s group in 20124, triboelectric systems have been recognized as a proper choice to harvest and convert the energy from the environment5,6. Photodetectors, as one of the most significant types of sensors that can precisely convert incident light into electrical signals have attracted increasing attention in recent years. Various applications including photo-sensors, spectral analysis7,8, environment monitoring9, communication devices10, imaging11, take advantage of narrow band or broad band photodetectors from ultraviolet to terahertz wavelenght. Literature reviews show that the heterojunction/heterostructure based on 2D/3D materials have been widely used in PD applications. In fact, to attain high performance of PDs based heterojunction, the built-in electrical field is needed to suppress the photogenerated recombination and stimulating collection12. Although, Si based PDs offer reliably high performance results, their complexity and expensive manufacturing process have limited their expansion and adoptability for industrial purposes13,14,15. Hence, most available PDs are designed based on external power supplies such as electrochemical batteries for signal production and processing, their design not only increases the sensor’s dimension and weight, but also creates limitations for sensor maintenances16 which is not proper in the IoTs. In 2014, ZH Lin et al. and Zheng et al. represented an investigation on the self-powered PD based on TENG system3,17, and since then, self-driven PDs have been extensively investigated2,5,9,18,19,20. These devices can find potential applications in health monitoring systems such as heart checking21 and health protection from some detrimental radiation such as high levels of UV radiance22.
But in the other hand, even though TENGs could be promise for using in wearable electronics, they still inevitably have limitations in power generation, sensing range, sensitivity, and also the sensing domain for the intrinsic limitations of electrification23,24,25. Moreover, due to high voltage, low current, and alternating current output of the TENGs, they cannot be used in order to supply power to electronic devices effectively without using power management circuits (PMCs) based on the LC modules. There are several reports that describe the importance of the impedance matching of the TENG and PMC units for better energy storage efficiency of the pulsed-TENG26,27. Without using the PMC unit, there are some challenges as a result of synching the TENG, as the power supply, and the consumption element such as the PD device. These challenges include the process of matching the resistance of the device and the impedance of the TENG to achieve effective performance of the self-powered system6,28.
In this study an efficient battery-free photodetector based on bulk heterojunction SnS2 nanosheets and perovskite materials has been designed and powered employing three different TENGs (GO paper/ Kapton, FTO/Kapton and hand/ FTO). In the first step for circuit designing to have better performance of the photodetector in coupling with TENG, the effect load resistance amount in the circuit on the impedance matching the TENG and the inner resistance of the photodetector, has been investigated through output current amplitude. The investigation, shows that to achieve the high amount of the photocurrent, the load resistance should be positioned in both critical zone of the out-put voltage of the TENG and the resistance range of high power density production of the TENG. In the second step, for investigation the effect of the dark resistance of the photodetector on out-put current of the self-powered photodetector, a device with very lower initial resistance (All-oxide Cu2O/ZnO photodetector) has been used with and without different load resistance in the circuit; in this regard, it is concluding that the initial resistance is too important to have proper design impedance matching circuit.
