Simon Haeder, Ph.D., associate professor, analyzed data from an August 2023 survey of more than 2,000 dog and more than 1,400 cat owners to measure pet vaccination rates, perceptions of vaccines and support for pet vaccination requirements.

“Decreasing pet vaccination rates pose challenges to society for a number of reasons, including increased incidents of pet disease and death, increases in exposures for humans, the potential for further genetic adaptations of pathogens, as well as detrimental effects on veterinarians,” Haeder said. “Many individuals consider their pets as part of the family and increases in vaccine-preventable diseases may also affect the financial and emotional health of owners.”

The survey first asked respondents whether they owned a dog, a cat or both. Dog and cat owners were then surveyed about their pets’ vaccine status for five diseases each for dogs and cats. These included rabies for dogs and cats, canine parvovirus and canine distemper for dogs, and feline panleukopenia and feline Bordetella for cats. The respondents then responded with levels of support for vaccination requirements for each of the listed diseases. The survey also queried respondents about perceived safety, efficacy and importance of the various vaccines.

In addition to pet vaccine-specific questions, the survey asked respondents about their level of trust in scientists, support for human vaccination mandates for children, political ideology, religiosity, non-veterinary expenses and frequency of exposure of dogs to other dogs outside the household. Lastly, the survey measured perceptions of safety, efficacy and importance of human vaccines.

The survey found that an overwhelming majority of pet owners had vaccinated their dogs and cats against rabies, though cats were vaccinated less often than dogs. Other core vaccines had slightly lower, but still high uptake, while there appeared to be more hesitancy toward non-core vaccines. Core vaccines are generally recommended for all pets regardless of lifestyle.

Further analysis found that perceptions of importance, efficacy and safety of vaccines served as a reasonable predictor for vaccine hesitancy. Additionally, these perceptions show an association with attitudes toward vaccination requirements. Haeder’s analysis also found that pet owners without non-veterinary expenses such as boarding or training fees showed higher levels of vaccine hesitancy. Lastly, pet vaccination behaviors and perceptions appear to be less associated with political ideology than with human vaccines.

The findings of this study show a high level of confidence in vaccine safety, efficacy and importance for humans and pets. Additionally, the analysis found relations between vaccine hesitancy in humans and animals, with support for animal vaccine requirements being strongly associated with similar requirements for humans. This indicates the potential for spillover effects and the importance of further focus on vaccine hesitancy in humans and animals in research and public health efforts in the future.

“Concerns about growing hesitancy remain and should be taken seriously, for both pets and humans, before the United States falls below important thresholds to prevent major outbreaks of vaccine-preventable diseases,” Haeder said.

“The more reindeer ruminate, the less additional non-REM sleep they need,” says first author and neuroscientist Melanie Furrer of the University of Zurich. “We think it’s very important that they are able to save time and cover their sleep and digestive needs at the same time, especially during the summer months.”

Light-dark cycles are absent in the Arctic during winter and summer, and previous studies showed that Arctic-dwelling reindeer don’t display circadian behavioral rhythms during these seasons, though they tend to be more active during the daytime during the spring and autumn equinox, when light-dark cycles are present. However, it was unknown whether these seasonal differences also impacted how much — and how well — reindeer sleep.

To investigate the influence of seasonal light-dark cycles on reindeer sleep patterns, the researchers performed non-invasive electroencephalography (EEG) on Eurasian tundra reindeer (Rangifer tarandus tarandus) in Tromsø, Norway (69°N), during the autumn equinox, summer solstice, and winter solstice. The reindeer, who were all adult females, were part of a captive herd at UiT The Arctic University of Norway in Tromsø, and the experiments were conducted in indoor stables with controlled lighting, unlimited food, and constant temperature.

They found that reindeer slept approximately the same amount during winter, summer, and autumn, despite the fact that they were much more active during the summer. This is in contrast to other species who change the amount they sleep in response to environmental conditions. On average, the reindeer spent 5.4 hours in non-REM sleep, 0.9 hours in REM sleep, and 2.9 hours ruminating during a given 24-hour period, regardless of season.

“The fact that reindeer sleep the same amount during winter and summer implies that they must have other strategies to cope with limited sleep time during the arctic summer,” says Furrer.

One possible strategy is the opportunity for rest during rumination — the re-chewing of partially digested food, which is an important component of digestion for reindeer and other ruminants. Domestic sheep, goats, cattle, and Lesser mouse-deer have all been previously observed to produce sleep-like brain waves during rumination, but it was unclear whether rumination could serve a similar restorative function to sleep.

The researchers found that the reindeer’s EEG readings during rumination resembled brainwave patterns that are indicative of non-REM sleep including increased slow-wave activity and sleep spindles. Sleeping and ruminating reindeer also displayed similar behavior, tending to quietly sit or stand during both activities, and were less reactive to disturbances such as a neighboring reindeer sitting down or getting up — reindeer directly responded to these disturbances (by looking toward the neighboring reindeer) 45% of the time if they were awake, but only 25% of the time if they were ruminating, and 5% of the time if they were in non-REM sleep.

Next, the researchers tested whether rumination could reduce the reindeer’s drive to sleep by depriving the reindeer of sleep for 2 hours and measuring their brain waves during sleep before and after this deprivation. Following sleep deprivation, the reindeer’s EEG readings showed increased slow-wave activity, which is indicative of a build-up of “sleep pressure” — the unconscious biological drive for more and deeper sleep — suggesting that reindeer experience deeper sleep following sleep deprivation.

However, when the reindeer ruminated, this slow-wave activity was decreased during subsequent sleep, and the more they ruminated, the more the slow-wave activity decreased. “This suggests that rumination reduces sleep pressure, which could benefit the reindeer because it means they don’t have to compromise on sleep recovery when they spend more time ruminating,” says Furrer.

This is especially important during the summer, because the more they eat, the more time the reindeer need to spend ruminating. “Rumination increases nutrient absorption, so it’s crucial for reindeer to spend enough time ruminating during the summer in order to gain weight in anticipation of winter,” says Furrer.

Since reindeer appear to sleep while ruminating only some of the time, follow-up studies should compare the impact of rumination while sleeping with rumination while awake and would also ideally measure reindeer behavior and sleep in more natural outdoor conditions, the researchers say. However, such measurements would require surgically implanted EEG sensors rather than the non-invasive surface electrodes used in this study.

“Another thing we could add is to look at young reindeer,” says Furrer. “We know sleep need is much higher in young children and babies compared to adults, so it would be interesting to look at sleep in younger reindeer.”

This research was supported by the Swiss National Science Foundation and UiT The Arctic University of Norway.

There are further subclasses of both Seyfert galaxies and quasars. In the case of Seyfert galaxies, the predominant subcategories are Type-1 and Type-2. Astronomers distinguish them by their spectra, the pattern that results when light is split into its constituent wavelengths. The spectral lines that Type-2 Seyfert galaxies emit are associated with specific ‘forbidden’ emission lines. To understand why emitted light from a galaxy could be forbidden, it helps to understand why spectra exist in the first place. Spectra look the way they do because certain atoms and molecules absorb and emit light at very specific wavelengths. The reason for this is quantum physics: electrons (the tiny particles that orbit the nuclei of atoms and molecules) can only exist at very specific energies, and therefore electrons can only lose or gain very specific amounts of energy. These very specific amounts of energy correspond to the wavelengths of light that are absorbed or emitted.

Forbidden emission lines should not exist according to certain rules of quantum physics. But quantum physics is complex, and some of the rules used to predict it were formulated under laboratory conditions here on Earth. Under those rules, this emission is ‘forbidden’ — so improbable that it’s disregarded. But in space, in the midst of an incredibly energetic galactic core, those assumptions don’t hold anymore, and the ‘forbidden’ light gets a chance to shine out toward us.

Dinushika Mohottige, MD, MPH, Assistant Professor of Population Science and Policy, and Medicine (Nephrology), at the Icahn School of Medicine at Mount Sinai, served as first author of a paper published today in the journalJAMA Network Open that details the study.

Dr. Mohottige and her senior author and long-time mentor, L. Ebony Boulware, MD, MPH, Dean of Wake Forest University School of Medicine, describe in detail how neighborhood prevalence of chronic kidney disease (CKD), diabetes, and hypertension are strongly associated with an increased burden of structural racism indicators.

The research team conducted an observational cross-sectional study in Durham County, North Carolina, using public data sources and deidentified electronic health records to explore how a comprehensive collection of data points associate the presence of structural racism and the neighborhood prevalence of these three chronic health conditions.

“It was important to look at these three conditions because they are interconnected and highly associated with heart disease, as well as quality and length of life. Importantly, Black people share a disproportionate burden of these three illnesses,” said Dr. Mohottige, a member of Icahn Mount Sinai’s Institute for Health Equity Research who specializes in kidney health equity and formerly practiced at Duke University with Dr. Boulware. They collaborated with colleagues from Duke, the University of North Carolina at Chapel Hill, North Carolina State University, and the Feinstein Institutes for Medical Research.

The authors explain that structural racism is defined as how societies foster discrimination through a series of systems that are reinforcing, such as housing, education, and unemployment. “These systems cascade into discriminatory beliefs, values, and the distribution of resources,” says Dr. Boulware.

“Dr. Mohottige and I agreed it was important to tap the unusual data assets available in Durham to learn how we can improve the health of communities and individuals by identifying the factors that may affect their health the most. Our goal was to use the data to help us identify possible interventions,” says Dr. Boulware. “Data which measure health outcomes such as kidney disease and diabetes — and which also measure social determinants of health, including information on the built environment and reported neighborhood violence — help us understand how the conditions where people live affect their well-being. This is especially true for groups that, because of their race or ethnicity, historically experience worse health outcomes when compared to others.”

The result of their work, incorporating thousands of data points related to where people live at the most localized level, says Dr. Boulware, is a first-of-its-kind observational study of associations of structural racism constructs with the health of individuals residing in these neighborhoods. “This study fills an important evidence gap and helps us identify factors which might be targeted to address community health inequities,” says Dr. Mohottige.

The researchers studied data of aggregate estimates of prevalence of chronic conditions for each of 150 residential neighborhoods in Durham using the Durham Neighborhood Compass, a unique data asset created by public health officials; a corresponding website, Durham Community Health Indicators Project, provides a user-friendly interface in lay language.

Along with the uniquely detailed and comprehensive Compass data, the researchers pulled data from two main buckets. Through global/composite indicators such as the area deprivation index, they gleaned data revealing the extent of Durham’s stark neighborhood advantage and disadvantage. The discrete indicators they drew upon revealed downstream factors widely thought to represent sociopolitical manifestations of structural racism, including reported crime, evictions, police shootings, and election participation. “Very limited evidence exists to tie together these structural racism constructs with the aggregate health of individuals in a given neighborhood using electronic health data and rigorous assessments of chronic conditions,” says Dr. Mohottige.

The team found that:

• Residential neighborhoods with the highest prevalence of CKD, diabetes, and hypertension, tended to be in neighborhoods with the lowest proportions of White residents, and vice versa.
• Neighborhoods with the highest prevalence of CKD, diabetes, and hypertension tended to be in areas with the lowest income and higher area deprivation. They also had the lowest rates of college education.

• A greater burden of most discrete indicators of structural racism (examples include reported violent crime, eviction rates, election participation, income, and poverty) was associated with greater neighborhood prevalence of the three diseases.

Until today, precise observations and analyses of the cosmic microwave background (CMB) and large-scale structure (LSS) have led to the establishment of the standard framework of the universe, the so-called ΛCDM model, where cold dark matter (CDM) and dark energy (the cosmological constant, Λ) are significant characteristics.

This model suggests that primordial fluctuations were generated at the beginning of the universe, or in the early universe, which acted as triggers, leading to the creation of all things in the universe including stars, galaxies, galaxy clusters, and their spatial distribution throughout space. Although they are very small when generated, fluctuations grow with time due to the gravitational pulling force, eventually forming a dense region of dark matter, or a halo. Then, different halos repeatedly collided and merged with one another, leading to the formation of celestial objects such as galaxies.

Since the nature of the spatial distribution of galaxies is strongly influenced by the nature of the primordial fluctuations that created them to begin with, statistical analyses of galaxy distributions have been actively conducted to observationally explore the nature of primordial fluctuations. In addition to this, the spatial pattern of galaxy shapes distributed over a wide area of the universe also reflects the nature of the underlying primordial fluctuations.

However, conventional analysis of large-scale structure has focused only on the spatial distribution of galaxies as points. More recently, researchers have started studying galaxy shapes, because it not only provides additional information, but it also provides a different perspective into the nature of the primordial fluctuations.

A team of researchers, led by at-the-time Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU) graduate student Toshiki Kurita (currently a postdoctoral researcher at the Max Planck Institute for Astrophysics), and Kavli IPMU Professor Masahiro Takada developed a method to measure the power spectrum of galaxy shapes, which extracts key statistical information from galaxy shape patterns by combining the spectroscopic data of spatial distribution of galaxies and imaging data of individual galaxy shapes.

The researchers simultaneously analyzed the spatial distribution and shape pattern of approximately one million galaxies from the Sloan Digital Sky Survey (SDSS), the world’s largest survey of galaxies today.

As a result, they successfully constrained statistical properties of the primordial fluctuations that seeded the formation of the structure of the entire universe.

They found a statistically significant alignment of the orientations of two galaxies’ shapes more than 100 million light years apart. Their result showed correlations exist between distant galaxies whose formation processes are apparently independent and causally unrelated.

“In this research, we were able to impose constraints on the properties of the primordial fluctuations through statistical analysis of the ‘shapes’ of numerous galaxies obtained from the large-scale structure data. There are few precedents for research that uses galaxy shapes to explore the physics of the early universe, and the research process, from the construction of the idea and development of analysis methods to the actual data analysis, was a series of trial and error. Because of that, I faced many challenges. But I am glad that I was able to accomplish them during my doctoral program. I believe that this achievement will be the first step to open up a new research field of cosmology using galaxy shapes ,” said Kurita.

Furthermore, a detailed investigation of these correlations confirmed they are consistent with the correlations predicted by inflation, and do not exhibit a non-Gaussian feature of the primordial fluctuation.

“This research is the result of Toshiki’s doctoral dissertation. It’s a wonderful research achievement in which we developed a method to validate a cosmological model using galaxy shapes and galaxy distributions, applied it to data, and then tested the physics of inflation. It was a research topic that no one had ever done before, but he did all three steps: theory, measurement, and application. Congratulations! I am very proud of the fact that we were able to do all three steps. Unfortunately, I did not make the great discovery of detecting a new physics of inflation, but we have set a path for future research. We can expect to open up further areas of research using the Subaru Prime Focus Spectrograph,” said Takada.

The methods and results of this study will allow researchers in the future to further test inflation theory.

Details of this study were published on October 31 in Physical Review D as an Editors’ Suggestion.

This protein comes in two different varieties termed “isoforms,” which are known as gamma actin and beta actin. The difference between the two proteins is miniscule, only a few amino acids at just one part of the molecule vary. Yet this small change has a big impact on the cell. In nature, normally only mixtures of the two isoforms are found. In their study, the researchers separated out the two isoforms and analyzed them individually. The results were published in the journal Nature Communications.

The researchers studied the behaviour of networks of filaments, particularly focusing on the unique properties of the individual isoforms. They employed specialized techniques allowing them to assess the mechanics and dynamics of research models of cytoskeletal networks, drawing on expertise in biophysics at Göttingen and bioengineering at Warwick.

The results indicate that gamma actin prefers to form rigid networks near the cell’s apex, while beta actin preferentially forms parallel bundles with a distinct organizational pattern. This difference is likely to be due to the stronger interaction of gamma actin with specific types of positively charged ions, rendering its networks stiffer than those formed by beta actin. “Our findings are compelling because they open up new avenues for understanding the intricate dynamics of protein networks within cells,” explains Professor Andreas Janshoff, Institute for Physical Chemistry, University of Göttingen. The research advances scientists’ understanding of fundamental cellular processes by shedding light on specific biological functions of actin, and this will have particular relevance for processes involving cellular mechanics such as growth, division and maturation of cells in tissue. “The implications of these discoveries extend to the broader field of cellular biology, offering insights that could impact many areas of research and applications, for instance in developmental biology,” adds Janshoff.

Vision is a complex process. The visual perception of the environment is created by a combination of different wavelengths of light, which are decoded as colours and brightness in the brain. Photoreceptors in the retina first convert the light into electrical impulses: with sufficient light, the cones enable sharp, detailed, and coloured vision. Rods only contribute to vision in low light conditions allowing for different shades of grey to be distinguished but leaving vision much less precise. The electrical nerve impulses are finally transmitted to ganglion cells in the retina and then via the optic nerve to the visual cortex in the brain. This region of the brain processes the neural activity into a coloured image.

What influences the internal clock?

Ambient light however does not only allow us to see, it also influences our sleep-wake rhythm. Specialised ganglion cells are significantly involved in this process, which — like the cones and rods — are sensitive to light and react particularly strongly to short-wavelength light at a wavelength of around 490 nanometres. If light consists solely of short wavelengths of 440 to 490 nanometres, we perceive it as blue. If short-wavelength light activates the ganglion cells, they signal to the internal clock that it is daytime. The decisive factor here is how intense the light is per wavelength; the perceived colour is not relevant.

“However, the light-sensitive ganglion cells also receive information from the cones. This raises the question of whether the cones, and thereby the light colour, also influence the internal clock. After all, the most striking changes in brightness and light colour occur at sunrise and sunset, marking the beginning and end of a day,” says Dr. Christine Blume. At the Centre for Chronobiology of the University of Basel, she investigates the effects of light on humans and is the first author of a study investigating the effects of different light colours on the internal clock and sleep. The team of researchers from the University of Basel and the TUM has now published its findings in the scientific journal “Nature Human Behaviour.”

Light colours in comparison

“A study in mice in 2019 suggested that yellowish light has a stronger influence on the internal clock than blueish light,” says Christine Blume. In humans, the main effect of light on the internal clock and sleep is probably mediated via the light-sensitive ganglion cells. “However, there is reason to believe that the colour of light, which is encoded by the cones, could also be relevant for the internal clock.”

To get to the bottom of this, the researchers exposed 16 healthy volunteers to a blueish or yellowish light stimulus for one hour in the late evening, as well as a white light stimulus as a control condition. The light stimuli were designed in such a way that they differentially activated the colour-sensitive cones in the retina in a very controlled manner. However, the stimulation of the light-sensitive ganglion cells was the same in all three conditions. Differences in the effect of the light were therefore directly attributable to the respective stimulation of the cones and ultimately the colour of the light.

“This method of light stimulation allows us to separate the light properties that may play a role in how light effects humans in a clean experimental way,” says Manuel Spitschan, Professor of Chronobiology and Health at the Technical University of Munich, who was also involved in the study.

In order to understand the effects of the different light stimuli on the body, in the sleep laboratory the researchers determined whether the internal clock of the participants had changed depending on the colour of the light. Additionally, they assessed how long it took the volunteers to fall asleep and how deep their sleep was at the beginning of the night. The researchers also enquired about their tiredness and tested their ability to react, which decreases with increasing sleepiness.

Ganglion cells are crucial

The conclusion: “We found no evidence that the variation of light colour along a blue-yellow dimension plays a relevant role for the human internal clock or sleep,” says Christine Blume. This contradicts the results of the mouse study mentioned above. “Rather, our results support the findings of many other studies that the light-sensitive ganglion cells are most important for the human internal clock,” says the scientist.

Manuel Spitschan sees the study as an important step towards putting basic research into practice: “Our findings show that it is probably most important to take into account the effect of light on the light-sensitive ganglion cells when planning and designing lighting. The cones and therefore the colour play a very subordinate role.”

It remains to be seen whether the colour of the light also has no effect on sleep if the parameters change and, for example, the duration of the light exposure is extended or takes place at a different time. Follow-up studies should answer questions like these.

Night mode on screens — useful or not?

We often hear that the short-wavelength component of light from smartphone and tablet screens affects biological rhythms and sleep. The recommendation is therefore to put your mobile phone away early in the evening or at least use the night shift mode, which reduces the short-wavelength light proportions and looks slightly yellowish. Christine Blume confirms this. However, the yellowish colour adjustment is a by-product that could be avoided. “Technologically, it is possible to reduce the short-wavelength proportions even without colour adjustment of the display, however this has not yet been implemented in commercial mobile phone displays,” says the sleep researcher.

Scientists are now one step closer to eliminating that threat, thanks to a Texas A&M University-led collaboration that has developed a new family of polymers capable of killing bacteria without inducing antibiotic resistance by disrupting the membrane of these microorganisms.

“The new polymers we synthesized could help fight antibiotic resistance in the future by providing antibacterial molecules that operate through a mechanism against which bacteria do not seem to develop resistance,” said Dr. Quentin Michaudel, an assistant professor in the Department of Chemistry and lead investigator in the research, published Dec. 11 in the Proceedings of the National Academy of Sciences (PNAS).

Working at the interface of organic chemistry and polymer science, the Michaudel Laboratory was able to synthesize the new polymer by carefully designing a positively charged molecule that can be stitched many times to form a large molecule made of the same repeating charged motif using a carefully selected catalyst called AquaMet. According to Michaudel, that catalyst proves key, given that it has to tolerate a high concentration of charges and also be water-soluble — a feature he describes as uncommon for this type of process.

After achieving success, the Michaudel Lab put its polymers to the test against two main types of antibiotic-resistant bacteria — E. coli and Staphylococcus aureus (MRSA) — in collaboration with Dr. Jessica Schiffman’s group at the University of Massachusetts Amherst. While awaiting those results, the researchers also tested their polymers’ toxicity against human red blood cells.

“A common issue with antibacterial polymers is a lack of selectivity between bacteria and human cells when targeting the cellular membrane,” Michaudel explained. “The key is to strike a right balance between effectively inhibiting bacteria growth and killing several types of cells indiscriminately.”

Michaudel credits the multidisciplinary nature of scientific innovation and the generosity of dedicated researchers across the Texas A&M campus and country as factors in his team’s success in determining the perfect catalyst for their molecule assembly.

“This project was several years in the making and would not have been possible without the help of several groups, in addition to our UMass collaborators,” Michaudel said. “For instance, we had to ship some samples to the Letteri Lab at the University of Virginia to determine the length of our polymers, which required the use of an instrument that few labs in the country have. We are also tremendously grateful to [biochemistry Ph.D. candidate] Nathan Williams and Dr. Jean-Philippe Pellois here at Texas A&M, who provided their expertise in our assessment of toxicity against red blood cells.”

Michaudel says the team will now focus on improving the activity of its polymers against bacteria — specifically, their selectivity for bacterial cells versus human cells — before moving on to in vivo assays.

“We are in the process of synthesizing a variety of analogs with that exciting goal in mind,” he said.

The team’s paper, which features Michaudel Lab member and Texas A&M chemistry Ph.D. graduate Dr. Sarah Hancock ’23 as first author, can be viewed online along with related figures and captions. Other key contributors from the Michaudel Lab are chemistry graduate student An Tran ’23, postdoctoral scholar Dr. Arunava Maity and former postdoctoral scholar Dr. Nattawut Yuntawattana, who is now an assistant professor of materials science at Kasetsart University in Thailand.

This research was funded primarily by Michaudel’s National Institutes of Health Maximizing Investigators’ Research Award (MIRA) through the National Institute of General Medical Sciences.

A native of La Rochelle, France, Michaudel joined the Texas A&M Chemistry faculty in 2018 and holds a joint appointment in the Department of Materials Science and Engineering. In addition to an NIH MIRA in 2020, his career honors to date include a 2022 National Science Foundation Faculty Early Career Development (CAREER) Award, a 2022 American Chemical Society Polymeric Materials: Science and Engineering (PMSE) Young Investigator Award and a 2021 Thieme Chemistry Journals Award.