Findings solve a 60-year-old problem, researchers say A new 10-minute scan could make way for the most common cause of high blood pressure to be detected and cured, new research has suggested. Using a new type of CT scan, doctors were able to cure high blood pressure by lighting up nodules (tiny growths) in a hormone gland cure and removing them.
Scientists at Harvard Medical School have investigated why we age, and identified a possible way to reverse it. In tests in mice, the team showed that epigenetic “software glitches” drive the symptoms of aging – and a system reboot can reverse them, potentially extending lifespan.
Our genome contains our complete DNA blueprint, which is found in every single cell of our bodies. But it’s not the whole picture – an extra layer of information, known as the epigenome, sits above that and controls which genes are switched on and off in different types of cells. It’s as though every cell in our body is working from the same operating manual (the genome), but the epigenome is like a table of contents that directs different cells to different chapters (genes). After all, lung cells need very different instructions to heart cells.
Environmental and lifestyle factors like diet, exercise and even childhood experiences could change epigenetic expression over our lifetimes. Epigenetic changes have been linked to the rate of biological aging, but whether they drove the symptoms of aging or were a symptom themselves remained unclear.
Chromatin structures and transcriptional networks are known to specify cell identity during development which directs cells into metaphorical valleys in the Waddington landscape. Cells must retain their identity through the preservation of epigenetic information and a state of low Shannon entropy for the maintenance of optimal function. Yeast studies in the 1990s have reported that a loss of epigenetic information compared to genetics can cause aging. Few other studies also confirmed that epigenetic changes are not just a biomarker but a cause of aging in yeasts.
Epigenetic changes associated with aging include changes in DNA methylation (DNAme) patterns, H3K27me3, H3K9me3, and H3K9me3. Many epigenetic changes have been observed to follow a specific pattern. However, the reason for changes in the mammalian epigenome is not yet known. A few clues can be obtained from yeast, where DSB is a significant factor whose repair requires epigenetic regulators Esa1, Gcn5, Rpd3, Hst1, and Sir2. As per the ‘‘RCM’’ hypothesis and ‘Information Theory of Aging’’, aging in eukaryotes occurs due to the loss of epigenetic information and transcriptional networks in response to cellular damage such as a crash injury or a DSB.
A new study in the journal Cell aimed to determine whether epigenetic changes are a cause of mammalian aging.
The lens is inserted into the eye of the patient to detect the biomarkers for Alzheimer’s disease.
The KIMM (Korea Institute of Machinery and Materials) has developed South Korea’s first smart lens technology to diagnose Alzheimer’s disease in its early stages. The KIMM research team has worked on this project in collaboration with Yonsei University.
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Our immune system is built to detect foreign invaders, pathogens, and debris, and then eliminate them. So how does it deal with the trillions of microbial cells that make a home for themselves in our gastrointestinal tract? Scientists have now found an answer to that question, and the evidence they revealed has also changed what we know about the interactions between immune receptors and a protein that helps move bacteria around, called flagellin. The findings have been reported in Science Immunology.
There are many beneficial microbes in the human gut microbiome, and we need many of those microorganisms to help us break down food and absorb nutrients, for example. But there are also pathogenic gut germs. The immune system can recognize those pathogenic microbes with different receptors, one of which is called toll-like receptor 5 (TLR5). TLR5 attaches to flagellin, a protein found in the flagellum of bacteria, a structure that propels bacterial cells. When TLR5 binds to flagellin, an inflammatory response is triggered.
Bats (Mammalia: Chiroptera) serve as natural reservoirs for many zoonotic pathogens worldwide, including vector-borne pathogens. However, bat-associated parasitic arthropods and their microbiota are thus far not thoroughly described in many regions across the globe, nor is their role in the spillover of pathogens to other vertebrate species well understood. Basic epidemiological research is needed to disentangle the complex ecological interactions among bats, their specific ectoparasites and microorganisms they harbor. Some countries, such as Ukraine, are particularly data-deficient in this respect as the ectoparasitic fauna is poorly documented there and has never been screened for the presence of medically important microorganisms. Therefore, the aims of this study were to provide first data on this topic.
A total of 239 arthropod specimens were collected from bats. They belonged to several major groups of external parasites, including soft ticks, fleas, and nycteribiid flies from six chiropteran species in Northeastern Ukraine. The ectoparasites were individually screened for the presence of DNA of Rickettsia spp., Anaplasma/Ehrlichia spp., Bartonella spp., Borrelia spp., and Babesia spp. with conventional PCRs. Positive samples were amplified at several loci, sequenced for species identification, and subjected to phylogenetic analysis.
Rickettsia DNA was detected exclusively in specimens of the soft tick, Carios vespertilionis (7 out of 43 or 16.3%). Sequencing and phylogenetic analysis revealed high similarity to sequences from Rickettsia parkeri and several other Rickettsia species. Bacteria from the family Anaplasma taceae were detected in all groups of the ectoparasites (51%, 122/239 samples), belonging to the genera Anaplasma, Ehrlichia, and Wolbachia. The detection of Bartonella spp. was successful only in fleas (Nycteridopsylla eusarca) and bat flies (Nycteribia koleantii, N. pedicularia), representing 12.1% (29÷239) of the collected ectoparasites. No DNA of Babesia or Borrelia species was identified in the samples.
The maximum lifespan varies more than 100-fold in mammals. This experiment of nature may uncover of the evolutionary forces and molecular features that define longevity. To understand the relationship between gene expression variation and maximum lifespan, we carried out a comparative transcriptomics analysis of liver, kidney, and brain tissues of 106 mammalian species. We found that expression is largely conserved and very limited genes exhibit common expression patterns with longevity in all the three organs analyzed. However, many pathways, e.g., “Insulin signaling pathway”, and “FoxO signaling pathway”, show accumulated correlations with maximum lifespan across mammals. Analyses of selection features further reveal that methionine restriction related genes whose expressions associated with longevity, are under strong selection in long-lived mammals, suggesting that a common approach could be utilized by natural selection and artificial intervention to control lifespan. These results suggest that natural lifespan regulation via gene expression is likely to be driven through polygenic model and indirect selection.
The authors have declared no competing interest.
Targeted manipulation of bacteria could boost immunity and help sufferers of chronic diseases and allergies.
All four participants were able to send out neural signals.
Medical technology company Synchron published in a press release on Monday the results of a clinical study that saw paralyzed patients effectively send out neural signals via an implantable brain-computer interface.
The study highlighted the long-term safety results from a clinical study in which four patients with severe paralysis implanted with Synchron’s first-generation Stentrode, a neuroprosthesis device, were able to control a computer.
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The maximum lifespan varies more than 100-fold in mammals. This experiment of nature may uncover of the evolutionary forces and molecular features that define longevity. To understand the relationship between gene expression variation and maximum lifespan, we carried out a comparative transcriptomics analysis of liver, kidney, and brain tissues of 106 mammalian species. We found that expression is largely conserved and very limited genes exhibit common expression patterns with longevity in all the three organs analyzed. However, many pathways, e.g., “Insulin signaling pathway”, and “FoxO signaling pathway”, show accumulated correlations with maximum lifespan across mammals. Analyses of selection features further reveal that methionine restriction related genes whose expressions associated with longevity, are under strong selection in long-lived mammals, suggesting that a common approach could be utilized by natural selection and artificial intervention to control lifespan. These results suggest that natural lifespan regulation via gene expression is likely to be driven through polygenic model and indirect selection.
