Just yesterday (2022−08−24) Prof. Smolin had a deep brain stimulator inserted into his left Globus Pallidus to help him better manage his symptoms of Parkinson’s Disease. Here he talks about that day, his theory of PD and the journey he had been on to getting DBS.
Eavesdropping on the earliest conversations between tissues in an emerging life could tell us a lot about organ growth, fertility, and disease in general. It could help prevent early miscarriages, or even tell us how to grow whole replacement organs from scratch.
In a monumental leap in stem cell research, an experiment led by researchers from the University of Cambridge in the UK has developed a living model of a mouse embryo complete with fluttering heart tissues and the beginnings of a brain.
The research advances the recent success of a team comprised of some of the same scientists who pushed the limits on mimicking the embryonic development of mice using stem cells that had never seen the inside of a mouse womb.
During mammalian brain development, neural precursor cells first generate neurons and later astrocytes. This cell fate change is a key process generating proper numbers of neurons and astrocytes. Here we discovered that FGF regulates the cell fate switch from neurons to astrocytes in the developing cerebral cortex using mice. FGF is a critical extracellular regulator of the cell fate switch, necessary and sufficient, in the mammalian cerebral cortex.
Neurons and astrocytes are prominent cell types in the cerebral cortex. Neurons are the primary information processing cells in the brain, whereas astrocytes support and modulate their functions. For sound functioning of the brain, it is crucial that proper numbers of neurons and astrocytes are generated during fetal brain development. The brain could not function correctly if only neurons or astrocytes were generated.
During fetal brain development, both neurons and astrocytes are generated from neural stem cells, which give rise to almost all cells in the cerebral cortex (Figure 1). One of the characteristics of this developmental process is that neural stem cells first generate neurons and, after that, start generating astrocytes (Figure 1). The “switch” to change the cell differentiation fate of neural stem cells from neurons to astrocytes has attracted much attention, since the cell fate switch is key to the generation of proper numbers of neurons and astrocytes. However, it remained largely unknown.
Researchers at Sahlgrenska Academy at the University of Gothenburg, Sweden, in collaboration with research groups in Finland, Canada and Slovenia, have discovered a novel and unexpected function of nestin, the best-known marker of neural stem cells.
In the developing brain, the three main cell types, neurons, astrocytes and oligodendrocytes, are generated from neural stem cells. In some parts of the brain such as the hippocampus, the brain region involved in learning and memory, new neurons are being added to the existing neuronal circuitry even in adulthood, when severe restriction of neuronal differentiation occurs.
Using mice deficient in nestin, a protein that is a component of the part of the cytoskeleton known as intermediate filaments or nanofilaments, the research team led by Prof. Milos Pekny showed that nestin produced in astrocytes has an important role in inhibiting neuronal differentiation. They linked this regulatory function of nestin to the Notch signaling from astrocytes to neighboring neural stem cells. Thus, surprisingly, nestin does not control the generation of neurons by acting within neural stem cells, but indirectly by regulating the neurogenesis-inhibitory Notch signals that neural stem cells receive from astrocytes, important constituents of the neurogenic niche.
The brain consists of neurons and glial cells. The developmental abnormality of glial cells causes various diseases and aberrant cerebral cortex development. CD38 gene knockout is shown to cause aberrant development of glial cells, especially astrocytes and oligodendrocytes. The CD38 gene is known to be involved in cerebral cortex development. The present study suggests the importance of glial cells for cerebral cortex development.
It is essential for brain development that both neurons and glial cells develop in a normal manner not only during fetal but also postnatal stages. In the postnatal brain, neurons extend long protrusions (axons and dendrites) to form complex networks for information exchange. On the other hand, glial cells are thought to support network formation of neurons, to regulate transmission of information, and to help survival of neurons. It is known that more than 50 percent of total cells in the brain are glial cells, three times more than neurons in number. It is also known that in the human brain has far more glial cells than the brains of rodents or primates. This indicates that for the higher functions of the brain, glial cells are of particular importance.
In the past, research on developmental disorders of the brain focused on neurons. Recently, however, research has focused on the abnormality of glial cells. There remain a number of unsolved problems concerning the mechanism of glial cell development in the postnatal brain and the relationship of glial cell abnormalities and developmental disorders of the brain.
(Medical Xpress)—A team of researchers working at the University of Rochester in New York, has found that injecting glial cells into a mouse brain caused an improvement in both memory and cognition in the mouse. In their paper published in The Journal of Neuroscience, the team explains how they injected the test mice and then tested them afterwards to see what impact it had on their abilities.
Injecting human brain cells into mice brains appears to be the stuff of horror films, but in this case, it wasn’t really what it might have seemed. Glial cells are precursors to other cells—in this case, they develop into astrocytes, which are technically, brain cells. But, the important distinction here is that they are not neurons, which means they are not involved in thinking—instead they are involved in memory retention and help with housekeeping tasks.
Last year, the team injected mature glial cells into mice brains and reported improvements in ability by the mice—this time they went further, injecting progenitor precursor glial cells, which allows for development of more astrocytes. The team injected just 300,000 of the cells (from donated human embryos) and found just 12 months later that they had multiplied to grow to 12 million, completely displacing the original mouse astrocytes. It appeared, the team reported, that the cell growth only stopped when it reached the physical confines of the skull. They also note that it was interesting that the glial could thrive in such an environment considering that astrocytess in people are 10 to 20 times as big as those in mice and they carry 100 times as many tendrils. Testing the mice showed that their memory was far superior to normal mice and they had improved cognition as well.
Researchers from the University of Cambridge and Caltech have created model mouse embryos from stem cells—the body’s master cells, which can develop into almost any cell type in the body—that have beating hearts, as well as the foundations for a brain and all of the other organs in the mouse body.
The results are the culmination of more than a decade of research, and they could help researchers understand why some embryos fail while others go on to develop into a fetus as part of a healthy pregnancy. Additionally, the results could be used to guide repair and development of synthetic human organs for transplantation.
The research was conducted in the laboratory of Magdalena Zernicka-Goetz, Bren Professor of Biology and Biological Engineering at Caltech. Zernicka-Goetz is also a professor of mammalian development and stem cell biology in Cambridge’s Department of Physiology, Development and Neuroscience. A paper describing the breakthrough appears in the journal Nature on August 25.
Research on human embryos is vital to understanding the earliest stages of human development. Currently, this research is conducted on surplus embryos willingly donated by individuals who have undergone in vitro fertilization. Nevertheless, this research is limited by the availability of embryos and strict international ethical time limits on how long an embryo is allowed to develop in the laboratory (14 days maximum.)
Now, Caltech researchers have created embryo-like structures out of human stem cells. In contrast to natural embryos that are formed by a combination of sperm and egg, these structures are formed by combining so-called pluripotent stem cells, which have the ability to develop into specialized types of cells. Though these embryo-like structures have some key differences from real embryos, the technology to create them will be critical in answering open questions about human development without the need for donated embryos.
The research was conducted in the laboratory of Magdalena Zernicka-Goetz, Bren Professor of Biology and Biological Engineering at Caltech, and is described in a paper appearing in the journal Nature Communications on September 21.
Scientists have created “synthetic” mouse embryos from stem cells without a dad’s sperm or a mom’s egg or womb.
The lab-created embryos mirror a natural mouse embryo up to 8 ½ days after fertilization, containing the same structures, including one like a beating heart.
In the near term, researchers hope to use these so-called embryoids to better understand early stages of development and study mechanisms behind disease without the need for as many lab animals. The feat could also lay the foundation for creating synthetic human embryos for research in the future.
An algorithm developed by researchers from Helmholtz Munich, the Technical University of Munich (TUM) and its University Hospital rechts der Isar, the University Hospital Bonn (UKB) and the University of Bonn is able to learn independently across different medical institutions. The key feature is that it is self-learning, meaning it does not require extensive, time-consuming findings or markings by radiologists in the MRI images.
This federated algorithm was trained on more than 1,500 MRI scans of healthy study participants from four institutions while maintaining data privacy. The algorithm then was used to analyze more than 500 patient MRI scans to detect diseases such as multiple sclerosis, vascular disease, and various forms of brain tumors that the algorithm had never seen before. This opens up new possibilities for developing efficient AI-based federated algorithms that learn autonomously while protecting privacy. The study has now been published in the journal Nature Machine Intelligence.
Health care is currently being revolutionized by artificial intelligence. With precise AI solutions, doctors can be supported in diagnosis. However, such algorithms require a considerable amount of data and the associated radiological specialist findings for training. The creation of such a large, central database, however, places special demands on data protection. Additionally, the creation of the findings and annotations, for example the marking of tumors in an MRI image, is very time-consuming.
