Hi! It is time to enjoy this nice summer weekend with a fresh selection of science news.
Sleep patterns reveal personal health trends. A recent study has shown that sleep trackers like the Oura Ring can reveal insights into chronic conditions such as diabetes, sleep apnea, and illnesses like COVID-19. The study analyzed 5 million nights of sleep data from approximately 33,000 people, identifying five main sleep phenotypes and 13 subtypes. Researchers found that the frequency and nature of shifts between sleep phenotypes provide more valuable health information than a person’s average sleep phenotype alone.
By monitoring changes in sleep patterns over several months, the study highlighted that individuals' movements between sleep phenotypes often reflect changes in health conditions, akin to a travel log through a sleep landscape. Subtle changes in sleep quality, which might not be evident on an average night or through questionnaires, were found to indicate health risks. This showcases how wearables can detect health issues that might otherwise go unnoticed.
The study, based on data from the TemPredict dataset collected during the 2020 COVID-19 pandemic, was led by researchers from the University of California San Diego and San Francisco. They constructed a spatial model of the 5 million nights of sleep, where phenotypes were represented as islands. The model revealed that frequent changes between sleep phenotypes, rather than the phenotypes themselves, were indicative of chronic conditions.
This work builds on previous research by examining the dynamics of sleep over time, providing a more comprehensive understanding of sleep health and its implications for chronic illness and infection vulnerability. The findings suggest that long-term tracking of sleep patterns at a population scale can offer new insights into public health.
Source: Digital Medicine
How our gut makes us stress-resistant. A study investigated the relationship between resilience and various clinical, neural, and microbiome factors by analyzing data from 116 participants in Los Angeles. Resilience, defined as positive outcomes in response to stress, involves acceptance of change, tenacity, tolerance of negative affect, and the ability to recover. Previous research had linked the gut microbiome to stress resilience via the brain-gut-microbiome (BGM) system, but a comprehensive biological profile of resilience was still lacking.
The study participants, who were excluded if they had certain medical or psychological conditions, underwent brain MRI scans, provided stool samples, and completed extensive questionnaires on health and psychological measures. The stool samples were analyzed for microbial DNA, metabolites, and RNA to study the microbiome's role.
Using the DIABLO approach, the researchers identified a correlated omics signature that distinguished high-resilience (HR) individuals from low-resilience (LR) individuals. The HR group exhibited higher mindfulness and extraversion, and lower neuroticism, anxiety, attention difficulties, verbal memory issues, language problems, visual perception challenges, and perceived stress compared to the LR group. Metabolome analysis revealed that HR individuals had higher levels of N-acetylglutamate (NAG) and dimethylglycine (DMG), which are linked to beneficial metabolic functions.
Microbial transcriptome analysis showed that HR participants had higher levels of bacterial genes associated with genetic propagation, anti-inflammation, metabolism, and environmental adaptation. Neurological findings indicated that the HR group had higher resting-state functional MRI features and specific brain connections that support cognitive-emotional processes. Persistence and control, factors from the Connor-Davidson Resilience Scale, were strongly associated with the identified variables.
The study concluded that resilience is characterized by adaptive psychological traits, specific neurological signatures, and gut microbiome functions that support stress resilience. This highlights the critical role of the BGM system in fostering resilience.
Source: Nature Mental Health
Gut microbes and cancer treatments need to work together to ensure success. Gut bacteria significantly influence the effectiveness of certain cancer drugs, and researchers have found that specific microbial communities in the gut can predict who will respond to next-generation cancer treatments. This discovery can also identify healthy individuals who could donate fecal bacteria for fecal microbiome transplantation to help those who do not respond to these drugs.
Fabio Grassi, an immunologist at the Institute for Research in Biomedicine in Switzerland, noted that this work is a diagnostic breakthrough, showing how the balance of gut microbial species affects the success of therapies like immune checkpoint inhibitors, which help the immune system target cancer cells. The study, published in Cell, reveals that the overall makeup of gut microbial communities, rather than individual species, influences treatment response.
Zitvogel and her team analyzed fecal samples from 245 lung cancer patients, identifying two groups of microbial species. One group, linked to resistance to immune checkpoint inhibitors, included 37 microbes such as Veillonella species. The other group, associated with positive responses, comprised 45 bacterial species. Lung cancer patients with response-associated bacteria lived longer than those with resistance-associated bacteria.
The researchers developed a score based on the ratio of these microbial groups, including the microbe Akkermansia muciniphila, which influences immune responses. This score, tested on patients with various cancers, predicted treatment response to immune checkpoint inhibitors. Zitvogel plans to transform this score into a diagnostic assay.
While the tool could help identify patients needing microbiome-targeting therapies to enhance immunotherapy response, further validation is required, according to Francesca Gazzaniga, a biologist at Massachusetts General Hospital. She also noted that the study's focus on participants from Canada and France might limit its predictive power in other populations with different diets. Despite these challenges, Maria Rescigno, an immunologist at Humanitas University in Italy, believes that clinicians adopting this tool could significantly impact patient outcomes.
Source: Cell, Nature News
Cover image: Sleep trackers might tell us more about our health. Image generated with Dall-E (https://copilot.microsoft.com/).
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