Multiple intersecting pathways are involved in CPEB1 phosphorylation and regulation of translation during mouse oocyte meiosis

The RNA-binding protein cytoplasmic polyadenylation element binding 1 (CPEB1) plays a fundamental role in regulating mRNA translation in oocytes. However, the specifics of how and which protein kinase cascades modulate CPEB1 activity are still controversial. Using genetic and pharmacological tools, and detailed time courses, we have re-evaluated the relationship between CPEB1 phosphorylation and translation activation during mouse oocyte maturation. We show that both the CDK1/MAPK and AURKA/PLK1 pathways converge on CPEB1 phosphorylation during prometaphase of meiosis I. Only inactivation of the CDK1/MAPK pathway disrupts translation, whereas inactivation of either pathway alone leads to CPEB1 stabilization. However, CPEB1 stabilization induced by inactivation of the AURKA/PLK1 pathway does not affect translation, indicating that destabilization and/or degradation is not linked to translational activation. The accumulation of endogenous CCNB1 protein closely recapitulates the translation data that use an exogenous template. These findings support the overarching hypothesis that the activation of translation during prometaphase in mouse oocytes relies on a CDK1/MAPK-dependent CPEB1 phosphorylation, and that translational activation precedes CPEB1 destabilization.

Prospective associations of occupational and leisure-time physical activity with risk of diabetes: a cohort study from the United States

OBJECTIVES

Leisure-time physical activity (LTPA) can reduce the risk of incident diabetes, whereas the role of occupational physical activity (OPA) in developing diabetes is still unclear due to conflicting evidence. Moreover, the joint associations of OPA and LTPA with incident diabetes among US workers have not yet been systematically examined. The objective of this study was to assess the independent and joint associations of OPA and LTPA with incident diabetes.

METHODS

This prospective cohort study included 1406 workers free from diabetes at baseline (2004-2006) from the national, population-based Mid-life in the United States (MIDUS) study. Associations of OPA and LTPA at baseline with incident diabetes during 9 years of follow-up were examined using Poisson regression models. High OPA was defined based on engagement in physical demands at work, and high LTPA was defined as participation in moderate or vigorous LTPA at least once per week.

RESULTS

High OPA was associated with an increased risk of diabetes compared to low OPA (adjusted risk ratios and 95% confidence interval = 1.52 [1.04, 2.22]), while high LTPA was associated with a decreased risk of diabetes compared to low LTPA (0.66 [0.44, 0.97]). Diabetes risk was the highest among workers with high OPA and low LTPA (2.30 [1.30, 4.07]).

CONCLUSIONS

In a national, population-based prospective cohort study of US workers, high OPA was associated with an elevated risk of diabetes, while high LTPA was associated with a decreased diabetes risk. The combination of high OPA and low LTPA exhibited the greatest risk of diabetes.

Spanish-Language Tobacco-Related Posts on Twitter: Content Analysis

INTRODUCTION

Twitter data have been used to surveil public sentiment about tobacco products; however, most tobacco-related Twitter research has been conducted with English-language posts. There is a gap in the literature on tobacco-related discussions on Twitter in languages other than English. This study summarized tobacco-related discussions in Spanish on Twitter.

METHODS

A set of Spanish terms reflecting electronic cigarettes (eg, "cigarillos electrónicos"), cigarettes (eg, "pitillo"), and cigars (eg, "cigaro") were identified. A content analysis of tweets (n = 1352) drawn from 2021 was performed to examine themes and sentiment. An initial codebook was developed in English then translated to Spanish and then translated back to English by a bilingual (Spanish and English) member of the research team. Two bilingual members of the research team coded the tweets into themes and sentiment.

RESULTS

Themes in the tweets included (1) product promotion (n = 168, 12.4%), (2) health warnings (n = 161, 11.9%), (3) tobacco use (n = 136, 10.1%), (4) health benefits of vaping (n = 58, 4.3%), (5) cannabis use (n = 50, 3.7%), (6) cessation (n = 47, 3.5%), (7) addiction (n = 33, 2.4%), (8) policy (n = 27, 2.0%), and (9) polysubstance use (n = 12, 0.9%). Neutral (n = 955, 70.6%) was the most common category of sentiment observed in the data.

CONCLUSIONS

Tobacco products are discussed in multiple languages on Twitter and can be summarized by bilingual research teams. Future research should determine if Spanish-speaking individuals are frequently exposed to pro-tobacco content on social media and if such exposure increases susceptibility to use tobacco among never users or sustained use among current users.

IMPLICATIONS

Spanish-language pro-tobacco content exists on Twitter, which has implications for Spanish-speaking individuals who may be exposed to this content. Spanish-language pro-tobacco-related posts may help normalize tobacco use among Spanish-speaking populations. As a result, anti-tobacco tweets in Spanish may be necessary to counter areas of the online environment that can be considered pro-tobacco.

Investigating the basis of lineage decisions and developmental trajectories in the dorsal spinal cord through pseudotime analyses

Dorsal interneurons (dIs) in the spinal cord encode the perception of touch, pain, heat, itchiness and proprioception. Previous studies using genetic strategies in animal models have revealed important insights into dI development, but the molecular details of how dIs arise as distinct populations of neurons remain incomplete. We have developed a resource to investigate dI fate specification by combining a single-cell RNA-Seq atlas of mouse embryonic stem cell-derived dIs with pseudotime analyses. To validate this in silico resource as a useful tool, we used it to first identify genes that are candidates for directing the transition states that lead to distinct dI lineage trajectories, and then validated them using in situ hybridization analyses in the developing mouse spinal cord in vivo. We have also identified an endpoint of the dI5 lineage trajectory and found that dIs become more transcriptionally homogeneous during terminal differentiation. This study introduces a valuable tool for further discovery about the timing of gene expression during dI differentiation and demonstrates its utility in clarifying dI lineage relationships.

Evaluation of the Impact of Concentration and Extraction Methods on the Targeted Sequencing of Human Viruses from Wastewater

Sequencing human viruses in wastewater is challenging due to their low abundance compared to the total microbial background. This study compared the impact of four virus concentration/extraction methods (Innovaprep, Nanotrap, Promega, and Solids extraction) on probe-capture enrichment for human viruses followed by sequencing. Different concentration/extraction methods yielded distinct virus profiles. Innovaprep ultrafiltration (following solids removal) had the highest sequencing sensitivity and richness, resulting in the successful assembly of several near-complete human virus genomes. However, it was less sensitive in detecting SARS-CoV-2 by digital polymerase chain reaction (dPCR) compared to Promega and Nanotrap. Across all preparation methods, astroviruses and polyomaviruses were the most highly abundant human viruses, and SARS-CoV-2 was rare. These findings suggest that sequencing success can be increased using methods that reduce nontarget nucleic acids in the extract, though the absolute concentration of total extracted nucleic acid, as indicated by Qubit, and targeted viruses, as indicated by dPCR, may not be directly related to targeted sequencing performance. Further, using broadly targeted sequencing panels may capture viral diversity but risks losing signals for specific low-abundance viruses. Overall, this study highlights the importance of aligning wet lab and bioinformatic methods with specific goals when employing probe-capture enrichment for human virus sequencing from wastewater.

A highly contiguous genome assembly for the Yellow Warbler (Setophaga petechia)

The Yellow Warbler (Setophaga petechia) is a small songbird in the wood-warbler family (Parulidae) that exhibits phenotypic and ecological differences across a widespread distribution and is important to California's riparian habitat conservation. Here, we present a high-quality de novo genome assembly of a vouchered female Yellow Warbler from southern California. Using HiFi long-read and Omni-C proximity sequencing technologies, we generated a 1.22 Gb assembly including 687 scaffolds with a contig N50 of 6.80 Mb, scaffold N50 of 21.18 Mb, and a BUSCO completeness score of 96.0%. This highly contiguous genome assembly provides an essential resource for understanding the history of gene flow, divergence, and local adaptation in Yellow Warblers and can inform conservation management of this charismatic bird species.

The effect of ancillary ligands on hydrocarbon C-H bond functionalization by uranyl photocatalysts

The aqueous uranyl dication has long been known to facilitate the UV light-induced decomposition of aqueous VOCs (volatile organic compounds), via the long-lived highly efficient, uranyl excited state. The lower-energy visible light excited uranyl ion is also able to cleave unactivated hydrocarbon C-H bonds, yet the development of this reactivity into controlled and catalytic C-H bond functionalization is still in its infancy, with almost all studies still focused on uranyl nitrate as the precatalyst. Here, hydrocarbon-soluble uranyl nitrate and chloride complexes supported by substituted phenanthroline (Ph2phen) ligands are compared to each other, and to the parent salts, as photocatalysts for the functionalization of cyclooctane by H atom abstraction. Analysis of the absorption and emission spectra, and emission lifetimes of Ph2phen-coordinated uranyl complexes demonstrate the utility of the ligand in light absorption in the photocatalysis, which is related to the energy and kinetic decay profile of the uranyl photoexcited state. Density functional theory computational analysis of the C-H activation steps in the reaction show how a set of dispersion forces between the hydrocarbon substrate and the Ph2phen ligand provide control over the H atom abstraction, and provide predictions of selectivity of H atom abstraction by the uranyl oxo of the ring C-H over the ethyl C-H in an ethylcyclohexane substrate.

Identification of conserved skeletal enhancers associated with craniosynostosis risk genes

Craniosynostosis, defined by premature fusion of one or multiple cranial sutures, is a common congenital defect affecting more than 1/2000 infants and results in restricted brain expansion. Single gene mutations account for 15%-20% of cases, largely as part of a syndrome, but the majority are nonsyndromic with complex underlying genetics. We hypothesized that the two noncoding genomic regions identified by a GWAS for craniosynostosis contain distal regulatory elements for the risk genes BMPER and BMP2. To identify such regulatory elements, we surveyed conserved noncoding sequences from both risk loci for enhancer activity in transgenic Danio rerio. We identified enhancers from both regions that direct expression to skeletal tissues, consistent with the endogenous expression of bmper and bmp2. For each locus, we also found a skeletal enhancer that also contains a sequence variant associated with craniosynostosis risk. We examined the activity of each enhancer during craniofacial development and found that the BMPER-associated enhancer is active in the restricted region of cartilage closely associated with frontal bone initiation. The same enhancer is active in mouse skeletal tissues, demonstrating evolutionarily conserved activity. Using enhanced yeast one-hybrid assays, we identified transcription factors that bind each enhancer and observed differential binding between alleles, implicating multiple signaling pathways. Our findings help unveil the genetic mechanism of the two craniosynostosis risk loci. More broadly, our combined in vivo approach is applicable to many complex genetic diseases to build a link between association studies and specific genetic mechanisms.

Identification and Characterization of Synthetic Nicotine Product Promotion and Sales on Instagram Using Natural Language Processing

INTRODUCTION

There has been a rapid proliferation of synthetic nicotine products in recent years, despite newly established regulatory authority and limited research into its health risks. Previous research has implicated social media platforms as an avenue for nicotine product unregulated sales. Yet, little is known about synthetic nicotine product content on social media. We utilized natural language processing to characterize the sales of synthetic nicotine products on Instagram.

METHODS

We collected Instagram posts by querying Instagram hashtags (eg, "#tobaccofreenicotine) related to synthetic nicotine. Using Bidirectional Encoder Representations from Transformers, collected posts were categorized into thematically related topic clusters. Posts within topic clusters relevant to study aims were then manually annotated for variables related to promotion and selling (eg, cost discussion, contact information for offline sales).

RESULTS

A total of 7425 unique posts were collected with 2219 posts identified as related to promotion and selling of synthetic nicotine products. Nicotine pouches (52.9%, n = 1174), electronic nicotine delivery systems (30.6%, n = 679), and flavored e-liquids (14.1%, n = 313) were most commonly promoted. About 16.1% (n = 345) of posts contained embedded hyperlinks and 5.8% (n = 129) provided contact information for purported offline transactions. Only 17.6% (n = 391) of posts contained synthetic nicotine-specific health warnings.

CONCLUSIONS

In the United States, synthetic nicotine products can only be legally marketed if they have received premarket authorization from the Food and Drug Administration (FDA). Despite these prohibitions, Instagram appears to be a hub for potentially unregulated sales of synthetic and "tobacco-free" products. Efforts are needed by platforms and regulators to enhance content moderation and prevent unregulated online sales of existing and emerging synthetic nicotine products.

IMPLICATIONS

There is limited clinical understanding of synthetic nicotine's unique health risks and how these novel products are changing over time due to regulatory oversight. Despite synthetic nicotine-specific regulatory measures, such as the requirement for premarket authorization and FDA warning letters issued to unauthorized sellers, access to and promotion of synthetic nicotine is widely occurring on Instagram, a platform with over 2 billion users and one that is popular among youth and young adults. Activities include direct-to-consumer sales from questionable sources, inadequate health warning disclosure, and exposure with limited age restrictions, all conditions necessary for the sale of various tobacco products. Notably, the number of these Instagram posts increased in response to the announcement of new FDA regulations. In response, more robust online monitoring, content moderation, and proactive enforcement are needed from platforms who should work collaboratively with regulators to identify, report, and remove content in clear violation of platform policies and federal laws. Regulatory implementation and enforcement should prioritize digital platforms as conduits for unregulated access to synthetic nicotine products and other future novel and emerging tobacco products.

We've been here before: Reactions to the murder of George Floyd and subsequent protests for justice

Although experiences with police vary widely by race in the United States, many Americans expressed negative reactions to the murder of George Floyd by Minneapolis police in May 2020, which led to racially diverse protests for Floyd's justice.

OBJECTIVE

This study assessed differences in Black and White Americans' reactions to the murder of George Floyd and the presence of White Americans at the subsequent protests for justice.

METHOD

Black and White Americans (N = 290) took part in an online study in which they responded to questions regarding their reactions to the murder of George Floyd, the subsequent protests for justice, and critical knowledge (e.g., previous experiences with police and broad knowledge of Black history).

RESULTS

Results of a preregistered study showed that Black (relative to White) Americans were more surprised by the extent of White participation in protests for justice. Also, Black Americans were more alarmed (i.e., emotionally jarred) by Floyd's murder. These differences in reactions were explained by Black (relative to White) Americans having more negative experiences with police brutality, both personally and among close others.

CONCLUSION

This suggests that reactions to police brutality are experientially rooted, joining long-standing calls to center the lived experiences of Black Americans in psychological research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Strain Solitons in an Epitaxially Strained van der Waals-like Material

Strain solitons are quasi-dislocations that form in van der Waals materials to relieve the energy associated with lattice or rotational mismatch. Novel electronic properties of strain solitons were predicted and observed. To date, strain solitons have been observed only in exfoliated crystals or mechanically strained crystals. The lack of a scalable approach toward the generation of strain solitons poses a significant challenge in the study of and use of their properties. Here, we report the formation of strain solitons with epitaxial growth of bismuth on InSb(111)B by molecular beam epitaxy. The morphology of the strain solitons for films of varying thickness is characterized with scanning tunneling microscopy, and the local strain state is determined from atomic resolution images. Bending in the solitons is attributed to interactions with the interface, and large angle bending is associated with edge dislocations. Our results enable the scalable generation of strain solitons.

Remarkably High Repeat Content in the Genomes of Sparrows: The Importance of Genome Assembly Completeness for Transposable Element Discovery

Transposable elements (TE) play critical roles in shaping genome evolution. Highly repetitive TE sequences are also a major source of assembly gaps making it difficult to fully understand the impact of these elements on host genomes. The increased capacity of long-read sequencing technologies to span highly repetitive regions promises to provide new insights into patterns of TE activity across diverse taxa. Here we report the generation of highly contiguous reference genomes using PacBio long-read and Omni-C technologies for three species of Passerellidae sparrow. We compared these assemblies to three chromosome-level sparrow assemblies and nine other sparrow assemblies generated using a variety of short- and long-read technologies. All long-read based assemblies were longer (range: 1.12 to 1.41 Gb) than short-read assemblies (0.91 to 1.08 Gb) and assembly length was strongly correlated with the amount of repeat content. Repeat content for Bell's sparrow (31.2% of genome) was the highest level ever reported within the order Passeriformes, which comprises over half of avian diversity. The highest levels of repeat content (79.2% to 93.7%) were found on the W chromosome relative to other regions of the genome. Finally, we show that proliferation of different TE classes varied even among species with similar levels of repeat content. These patterns support a dynamic model of TE expansion and contraction even in a clade where TEs were once thought to be fairly depauperate and static. Our work highlights how the resolution of difficult-to-assemble regions of the genome with new sequencing technologies promises to transform our understanding of avian genome evolution.

Pollinator and habitat-mediated selection as potential contributors to ecological speciation in two closely related species

In ecological speciation, incipient species diverge due to natural selection that is ecologically based. In flowering plants, different pollinators could mediate that selection (pollinator-mediated divergent selection) or other features of the environment that differ between habitats of 2 species could do so (environment-mediated divergent selection). Although these mechanisms are well understood, they have received little rigorous testing, as few studies of divergent selection across sites of closely related species include both floral traits that influence pollination and vegetative traits that influence survival. This study employed common gardens in sites of the 2 parental species and a hybrid site, each containing advanced generation hybrids along with the parental species, to test these forms of ecological speciation in plants of the genus Ipomopsis. A total of 3 vegetative traits (specific leaf area, leaf trichomes, and photosynthetic water-use efficiency) and 5 floral traits (corolla length and width, anther insertion, petal color, and nectar production) were analyzed for impacts on fitness components (survival to flowering and seeds per flower, respectively). These traits exhibited strong clines across the elevational gradient in the hybrid zone, with narrower clines in theory reflecting stronger selection or higher genetic variance. Plants with long corollas and inserted anthers had higher seeds per flower at the Ipomopsis tenuituba site, whereas selection favored the reverse condition at the Ipomopsis aggregata site, a signature of divergent selection. In contrast, no divergent selection due to variation in survival was detected on any vegetative trait. Selection within the hybrid zone most closely resembled selection within the I. aggregata site. Across traits, the strength of divergent selection was not significantly correlated with width of the cline, which was better predicted by evolvability (standardized genetic variance). These results support the role of pollinator-mediated divergent selection in ecological speciation and illustrate the importance of genetic variance in determining divergence across hybrid zones.

Understanding the effects of sub-inhibitory antibiotic concentrations on the development of β-lactamase resistance based on quantile regression analysis

AIMS

Quantile regression is an alternate type of regression analysis that has been shown to have numerous advantages over standard linear regression. Unlike linear regression, which uses the mean to fit a linear model, quantile regression uses a data set's quantiles (or percentiles), which leads to a more comprehensive analysis of the data. However, while relatively common in other scientific fields such as economic and environmental modeling, it is infrequently used to understand biological and microbiological systems.

METHODS AND RESULTS

We analyzed a set of bacterial growth rates using quantile regression analysis to better understand the effects of antibiotics on bacterial fitness. Using a bacterial model system containing 16 variant genotypes of the TEM β-lactamase enzyme, we compared our quantile regression analysis to a previously published study that uses the Tukey's range test, or Tukey honestly significantly difference (HSD) test. We find that trends in the distribution of bacterial growth rate data, as viewed through the lens of quantile regression, can distinguish between novel genotypes and ones that have been clinically isolated from patients. Quantile regression also identified certain combinations of genotypes and antibiotics that resulted in bacterial populations growing faster as the antibiotic concentration increased-the opposite of what was expected. These analyses can provide new insights into the relationships between enzymatic efficacy and antibiotic concentration.

CONCLUSIONS

Quantile regression analysis enhances our understanding of the impacts of sublethal antibiotic concentrations on enzymatic (TEM β-lactamase) efficacy and bacterial fitness. We illustrate that quantile regression analysis can link patterns in growth rates with clinically relevant mutations and provides an understanding of how increasing sub-lethal antibiotic concentrations, like those found in our modern environment, can affect bacterial growth rates, and provide insight into the genetic basis for varied resistance.

Neurophysiological trajectories in Alzheimer's disease progression

Alzheimer's disease (AD) is characterized by the accumulation of amyloid-β and misfolded tau proteins causing synaptic dysfunction, and progressive neurodegeneration and cognitive decline. Altered neural oscillations have been consistently demonstrated in AD. However, the trajectories of abnormal neural oscillations in AD progression and their relationship to neurodegeneration and cognitive decline are unknown. Here, we deployed robust event-based sequencing models (EBMs) to investigate the trajectories of long-range and local neural synchrony across AD stages, estimated from resting-state magnetoencephalography. The increases in neural synchrony in the delta-theta band and the decreases in the alpha and beta bands showed progressive changes throughout the stages of the EBM. Decreases in alpha and beta band synchrony preceded both neurodegeneration and cognitive decline, indicating that frequency-specific neuronal synchrony abnormalities are early manifestations of AD pathophysiology. The long-range synchrony effects were greater than the local synchrony, indicating a greater sensitivity of connectivity metrics involving multiple regions of the brain. These results demonstrate the evolution of functional neuronal deficits along the sequence of AD progression.

A cucumber protein, Phloem Phosphate Stress-Repressed 1, rapidly degrades in response to a phosphate stress condition

Under depleted external phosphate (Pi), many plant species adapt to this stress by initiating downstream signaling cascades. In plants, the vascular system delivers nutrients and signaling agents to control physiological and developmental processes. Currently, limited information is available regarding the direct role of phloem-borne long-distance signals in plant growth and development under Pi stress conditions. Here, we report on the identification and characterization of a cucumber protein, Cucumis sativus Phloem Phosphate Stress-Repressed 1 (CsPPSR1), whose level in the phloem translocation stream rapidly responds to imposed Pi-limiting conditions. CsPPSR1 degradation is mediated by the 26S proteasome; under Pi-sufficient conditions, CsPPSR1 is stabilized by its phosphorylation within the sieve tube system through the action of CsPPSR1 kinase. Further, we discovered that CsPPSR1 kinase was susceptible to Pi starvation-induced degradation in the sieve tube system. Our findings offer insight into a molecular mechanism underlying the response of phloem-borne proteins to Pi-limited stress conditions.

Examining the Peer-Reviewed Literature on Tobacco-Related Social Media Data: Scoping Review

INTRODUCTION

Tobacco researchers have used social media data to examine tobacco industry marketing practices (eg, influencers), and to document user experience with tobacco products. This study summarized the literature that analyzed tobacco-related social media data, including domain, social media platform, tobacco product type, and themes of findings, among other variables.

AIMS AND METHODS

PubMed, PsycINFO, Web of Science, and Communication Source were searched between 2004 and 2022. Peer-reviewed articles were included if they were written in English, included at least one tobacco-related term, and one social media-related term, and analyzed a social media post. Two coders screened all-titles and abstracts. The final sample consisted of (n = 255) articles. Studies were coded for domain, social media platform, tobacco product type, data source, type of data, coding and analytic method, and presence of validation procedure, among other variables.

RESULTS

A total of 10 504 820 581 tobacco-related social media posts were assessed across 255 studies. User experience (54.1%) and promotion (23.1%) were the most researched domains. Researchers used data from Twitter the most (42.7%). Text (43.1%) was the most common type of data analyzed. Thematic analysis (80.8%) was the most common analytic technique. Themes of findings from content analyses often pertained to the health effects of tobacco use (61.0%) and promotion (44.2%).

CONCLUSIONS

Researchers have analyzed billions of tobacco-related social media posts to describe user experience with, and promotions related to, tobacco products like e-cigarettes on platforms like Twitter. Future research may examine tobacco-related social media data from newer platforms like TikTok.

IMPLICATIONS

Real-time surveillance of tobacco-related content on social media can keep the tobacco control community abreast of tobacco industry promotional strategies, user experience with tobacco products, and perceived health effects of tobacco use. A framework may be developed to establish best-practices for social media data collection and analysis, including strategies to identify posts from bot accounts and validate methodological approaches used in thematic analysis.

Examining Tobacco-Related Social Media Research in Government Policy Documents: Systematic Review

BACKGROUND

Social media data have been used to describe tobacco industry marketing practices, user experiences with tobacco, and youth-oriented protobacco content.

OBJECTIVE

Examine the extent to which tobacco-related social media research is cited in government policy documents.

SEARCH METHODS

Peer-reviewed tobacco-related social media studies were searched for on Web of Science, PubMed, and other databases from 2004 to 2022. The DOI number for each identified article was then used to search the Overton database to find policy documents citing such research. A secondary, manual search of national and international governmental agency websites was also conducted.

SELECTION CRITERIA

Documents were included in this study if they were tobacco-related, written in English, cited social media research in the document text and reference section, and were published by a governmental office or agency.

DATA COLLECTION AND ANALYSIS

The analytic sample consisted of (n = 38) government policy documents, and were coded for content themes, agency type, document type, and subsequent citations.

MAIN RESULTS

When this research was utilized, it was often in the context of highlighting tobacco industry marketing practices, bringing attention to an issue (eg, youth e-cigarette use), and/or describing how social media platforms can be used as a data source to understand tobacco-related attitudes and behaviors. Agencies that often cited this research were the WHO, FDA, and CDC. The document types included research reports, policy recommendations, industry guidance, legal complaints, and practice-based recommendations.

CONCLUSIONS

Tobacco-related social media research has been utilized by government agencies in the last decade to guide the policy process.

IMPLICATIONS

Tobacco-related social media research has been used in government policy documents to detail tobacco industry marketing and bring attention to youth exposure to protobacco content online. Continued surveillance of social media may be necessary to track the changing tobacco landscape.

Blood oxygen transport and depletion in diving emperor penguins

Oxygen store management underlies dive performance and is dependent on the slow heart rate and peripheral vasoconstriction of the dive response to control tissue blood flow and oxygen uptake. Prior research has revealed two major patterns of muscle myoglobin saturation profiles during dives of emperor penguins. In Type A profiles, myoglobin desaturated rapidly, consistent with minimal muscle blood flow and low tissue oxygen uptake. Type B profiles, with fluctuating and slower declines in myoglobin saturation, were consistent with variable tissue blood flow patterns and tissue oxygen uptake during dives. We examined arterial and venous blood oxygen profiles to evaluate blood oxygen extraction and found two primary patterns of venous hemoglobin desaturation that complemented corresponding myoglobin saturation profiles. Type A venous profiles had a hemoglobin saturation that (a) increased/plateaued for most of a dive's duration, (b) only declined during the latter stages of ascent, and (c) often became arterialized [arterio-venous (a-v) shunting]. In Type B venous profiles, variable but progressive hemoglobin desaturation profiles were interrupted by inflections in the profile that were consistent with fluctuating tissue blood flow and oxygen uptake. End-of-dive saturation of arterial and Type A venous hemoglobin saturation profiles were not significantly different, but did differ from those of Type B venous profiles. These findings provide further support that the dive response of emperor penguins is a spectrum of cardiac and vascular components (including a-v shunting) that are dependent on the nature and demands of a given dive and even of a given segment of a dive.

Chromosome-level genome of the transformable northern wattle, Acacia crassicarpa

The genus Acacia is a large group of woody legumes containing an enormous amount of morphological diversity in leaf shape. This diversity is at least in part the result of an innovation in leaf development where many Acacia species are capable of developing leaves of both bifacial and unifacial morphologies. While not unique in the plant kingdom, unifaciality is most commonly associated with monocots, and its developmental genetic mechanisms have yet to be explored beyond this group. In this study, we identify an accession of Acacia crassicarpa with high regeneration rates and isolate a clone for genome sequencing. We generate a chromosome-level assembly of this readily transformable clone, and using comparative analyses, confirm a whole-genome duplication unique to Caesalpinoid legumes. This resource will be important for future work examining genome evolution in legumes and the unique developmental genetic mechanisms underlying unifacial morphogenesis in Acacia.

Preventing zoonotic and zooanthroponotic disease transmission at wild great ape sites: Recommendations from qualitative research at Bwindi Impenetrable National Park

Employees at wild great ape sites are at high risk of transmitting infectious diseases to endangered great apes. Because of the significant amount of time employees spend near great apes, they are a priority population for the prevention and treatment of zoonotic and zooanthroponotic spillover and need adequate preventive and curative healthcare. Qualitative, semi-structured interviews with 46 staff (rangers and porters) at Bwindi Impenetrable National Park, Uganda (BINP) and key informants from five other wild great ape sites around the world were performed. The objectives of the study were to 1) evaluate health-seeking behavior and health resources used by staff in contact with great apes at Bwindi Impenetrable National Park; 2) evaluate existing occupational health programs for employees working with great apes in other parts of the world; and 3) make recommendations for improvement of occupational health at BINP. Results show that BINP employees do not frequently access preventive healthcare measures, nor do they have easy access to diagnostic testing for infectious diseases of spillover concern. Recommendations include assigning a dedicated healthcare provider for great ape site staff, providing free annual physical exams, and stocking rapid malaria tests and deworming medication in first aid kits at each site.

Automated Detection of Pediatric Foreign Body Aspiration from Chest X-rays Using Machine Learning

OBJECTIVE/HYPOTHESIS

Standard chest radiographs are a poor diagnostic tool for pediatric foreign body aspiration. Machine learning may improve upon the diagnostic capabilities of chest radiographs. The objective is to develop a machine learning algorithm that improves the diagnostic capabilities of chest radiographs in pediatric foreign body aspiration.

METHOD

This retrospective, diagnostic study included a retrospective chart review of patients with a potential diagnosis of FBA from 2010 to 2020. Frontal view chest radiographs were extracted, processed, and uploaded to Google AutoML Vision. The developed algorithm was then evaluated against a pediatric radiologist.

RESULTS

The study selected 566 patients who were presented with a suspected diagnosis of foreign body aspiration. One thousand six hundred and eighty eight chest radiograph images were collected. The sensitivity and specificity of the radiologist interpretation were 50.6% (43.1-58.0) and 88.7% (85.3-91.5), respectively. The sensitivity and specificity of the algorithm were 66.7% (43.0-85.4) and 95.3% (90.6-98.1), respectively. The precision and recall of the algorithm were both 91.8% with an AuPRC of 98.3%.

CONCLUSION

Chest radiograph analysis augmented with machine learning can diagnose foreign body aspiration in pediatric patients at a level similar to a read performed by a pediatric radiologist despite only using single-view, fixed images. Overall, this study highlights the potential and capabilities of machine learning in diagnosing conditions with a wide range of clinical presentations.

LEVEL OF EVIDENCE

3 Laryngoscope, 2024.

Navigating a climate of administrative burden: the perspectives of young adult undocumented immigrants in applying for COVID-19 disaster relief assistance for immigrants in California

Undocumented immigrants experienced high levels of economic insecurity during the COVID-19 pandemic while being excluded from government-based relief and unemployment benefits. In April 2020, California became the first state to offer financial aid to undocumented immigrants through the innovative Disaster Relief Assistance for Immigrants (DRAI) program in collaboration with several community-based organizations (CBOs). However, the process of applying for aid was marked by many implementation challenges, such as intake and language access; however, little data exists on the direct experiences of the undocumented community. This qualitative study examines the experiences of undocumented Asian and Latinx young adults living in California in applying for DRAI through framework of administrative burden. Themes distilled from participant experiences highlight how administrative burden via learning, psychological, and compliance costs shape the ways in which undocumented immigrants navigate policies and programs, such as DRAI. These experiences highlight the need for policymakers to address structural and programmatic administrative burdens in policy development; failure to do so result in detrimental impacts that outweigh financial benefits or cause communities to forgo needed resources.

Historical Redlining Is Associated with Disparities in Environmental Quality across California

Historical policies have been shown to underpin environmental quality. In the 1930s, the federal Home Owners' Loan Corporation (HOLC) developed the most comprehensive archive of neighborhoods that would have been redlined by local lenders and the Federal Housing Administration, often applying racist criteria. Our study explored how redlining is associated with environmental quality across eight California cities. We integrated HOLC's graded maps [grades A (i.e., "best" and "greenlined"), B, C, and D (i.e., "hazardous" and "redlined")] with 10 environmental hazards using data from 2018 to 2021 to quantify the spatial overlap among redlined neighborhoods and environmental hazards. We found that formerly redlined neighborhoods have poorer environmental quality relative to those of other HOLC grades via higher pollution, more noise, less vegetation, and elevated temperatures. Additionally, we found that intraurban disparities were consistently worse for formerly redlined neighborhoods across environmental hazards, with redlined neighborhoods having higher pollution burdens (77% of redlined neighborhoods vs 18% of greenlined neighborhoods), more noise (72% vs 18%), less vegetation (86% vs 12%), and elevated temperature (72% vs 20%), than their respective city's average. Our findings highlight that redlining, a policy abolished in 1968, remains an environmental justice concern by shaping the environmental quality of Californian urban neighborhoods.

Autoimmune disease and the risk of anal cancer in the US population aged 66 years and over

BACKGROUND

In the United States, anal squamous cell carcinoma rates have increased rapidly, particularly among women 50 or older than 66 years of age. As immunosuppression is associated with increased risk, autoimmune conditions may be associated with greater risk of anal squamous cell carcinoma.

METHODS

We conducted a population-based, case-control study using Surveillance, Epidemiology, and End Results-Medicare data (2000-2017). Anal squamous cell carcinoma cases (n = 4505) were matched to 200 000 cancer-free controls. Using multivariable logistic regression, we calculated odds ratios (ORs) and 95% confidence intervals (CIs) for associations between 47 autoimmune conditions diagnosed before selection, identified using Medicare claims, and anal squamous cell carcinoma. The Bonferroni threshold was used to correct for multiple comparisons. Population attributable fractions were calculated for conditions nominally associated with anal squamous cell carcinoma.

RESULTS

In total, 18% of anal squamous cell carcinoma cases and 15% of cancer-free controls had a diagnosed autoimmune condition. Any autoimmune condition was associated with an increased risk of anal squamous cell carcinoma (OR = 1.11, 95% CI = 1.02 to 1.21; population attributable fraction = 1.8%). Anal squamous cell carcinoma was associated with systemic lupus erythematosus (OR = 1.79, 95% CI = 1.32 to 2.42; population attributable fraction = 0.4%) and nominally associated (P < .05) with sarcoidosis (OR = 2.09, 95% CI = 1.30 to 3.37; population-attributable fraction = 0.2%) and psoriasis (OR = 1.28, 95% CI = 1.06 to 1.56; population attributable fraction = 0.5%). Stratified by sex, only women showed statistically significant associations for systemic lupus erythematosus (OR = 1.97, 95% CI = 1.46 to 2.68). Statistically significant interaction was observed by sex for psoriasis (men vs women: OR = 1.68 [95% CI = 1.03 to 4.28] vs OR = 1.12 [95% CI = 0.88 to 1.43]) and polymyalgia rheumatica (OR = 0.33 [95% CI = 0.12 to 0.89] vs OR = 0.99 [95% CI = 0.75 to 1.30]).

CONCLUSION

Systemic lupus erythematosus, sarcoidosis, and psoriasis were associated with a moderately increased risk of anal squamous cell carcinoma. Given these conditions' rarity and moderate associations with anal squamous cell carcinoma, autoimmune diseases cannot explain the rising trend in this disease.