Enantioselective Synthesis of ß-l-5-[(E)-2-Bromovinyl)-1-((2S,4S)-2-(hydroxymethyl)-1,3-(dioxolane-4-yl) Uracil)] (l-BHDU) via Chiral Pure l-Dioxolane.

ß-l-5-((E)-2-Bromovinyl)-1-((2S,4S)-2-(hydroxymethyl)-1,3-(dioxolane-4-yl) uracil (l-BHDU, 17) is a potent and selective inhibitor of the varicella-zoster virus (VZV). l-BHDU (17) has demonstrated excellent anti-VZV activity and is a preclinical candidate to treat chickenpox, shingles (herpes zoster), and herpes simplex virus 1 (HSV-1) infections. Its monophosphate prodrug (POM-l-BHDU-MP, 24) demonstrated an enhanced pharmacokinetic and antiviral profile. POM-l-BHDU-MP (24), in vivo, effectively reduced the VZV viral load and was effective for the topical treatment of VZV and HSV-1 infections. Therefore, a viable synthetic procedure for developing POM-l-BHDU-MP (24) is needed. In this article, an efficient approach for the synthesis of l-BHDU (17) from a readily available starting material is described in 7 steps. An efficient and practical methodology for both chiral pure l- & d-dioxolane 11 and 13 were developed via diastereomeric chiral amine salt formation. Neutralization of the amine carboxylate salt of l-dioxolane 10 provides enantiomerically pure l-dioxane 11 (ee ≥ 99%). Optically pure 11 was utilized to construct the final nucleoside l-BHDU (17) and its monophosphate ester prodrug (POM-l-BHDU-MP, 24). Notably, the reported process eliminates expensive chiral chromatography for the synthesis of chiral pure l- & d-dioxolane, which offers avenues for the development and structure-activity relationship studies of l- & d-dioxolane-derived nucleosides.

fMRI BOLD responses to film stimuli and their association with exhaled nitric oxide in asthma and health.

Little is known about central nervous system (CNS) responses to emotional stimuli in asthma. Nitric oxide in exhaled breath (FENO) is elevated in asthma due to allergic immune processes, but endogenous nitric oxide is also known to modulate CNS activity. We measured fMRI blood oxygen-dependent (BOLD) brain activation to negative (blood-injection-injury themes) and neutral films in 31 participants (15 with asthma). Regions-of-interest analysis was performed on key areas relevant to central adaptive control, threat processing, or salience networks, with dorsolateral prefrontal cortex (PFC), anterior insula, dorsal anterior cingulate cortex (dACC), amygdala, ventral striatum, ventral tegmentum, and periaqueductal gray, as well as top-down modulation of emotion, with ventrolateral and ventromedial PFC. Both groups showed less BOLD deactivation from fixation cross-baseline in the left anterior insula and bilateral ventromedial PFC for negative than neutral films, and for an additional number of areas, including the fusiform gyrus, for film versus recovery phases. Less deactivation during films followed by less recovery from deactivation was found in asthma compared to healthy controls. Changes in PCO2 did not explain these findings. FENO was positively related to BOLD activation in general, but more pronounced in healthy controls and more likely in neutral film processing. Thus, asthma is associated with altered processing of film stimuli across brain regions not limited to central adaptive control, threat processing, or salience networks. Higher levels of NO appear to facilitate CNS activity, but only in healthy controls, possibly due to allergy's masking effects on FENO.

Screening for protein energy wasting in children with chronic kidney disease using dual energy x-ray absorptiometry as an additional tool.

BACKGROUND: The current diagnosis of protein energy wasting (PEW) is based on scoring systems that lack precision in measuring muscle deficits. We undertook this cross-sectional study to determine the prevalence of PEW in children with chronic kidney disease (CKD) using a scoring system that included dual energy x-ray absorptiometry (DEXA) for measuring lean body mass (LBM) and to determine the prevalence of selected markers in PEW. METHODS: Thirty CKD and 20 healthy children (1-18 years) were evaluated for (1) reduced dietary protein intake (DPI); (2) BMI < fifth centile for height age (BMI/HA); (3) serum albumin < 3.8 g/dl, cholesterol < 100 mg/dl, or CRP > 3 mg/L; (4) LBM < fifth centile for height age [LBMr] on DEXA. PEW was scored as minimal-one parameter positive in 2/4 categories; standard-one parameter positive in 3/4 categories; or modified-standard plus height < 2 SD. RESULTS: Twenty children with CKD (66.7%) had PEW, (5/9) 55% in CKD 3, and (15/21) 71% in advanced CKD; minimal 12, standard 1, and modified 7. LBMr was seen in 20 (100%), reduced DPI in 16 (80%), and BMI/HA in 6 (30%) children with PEW. LBMr had 100% sensitivity and BMI/HA 100% specificity. LBMr was seen in 8 who had no other criteria for PEW. None of the parameters were positive in controls (p < 0.01). CONCLUSIONS: PEW prevalence in CKD was high. Both prevalence and severity were higher in advanced CKD. LBMr was a highly sensitive marker to detect PEW. LBMr seen in some children with CKD who were negative for other markers could represent subclinical PEW.

Synthesis of Fluorinated Nucleosides/Nucleotides and Their Antiviral Properties.

The FDA has approved several drugs based on the fluorinated nucleoside pharmacophore, and numerous drugs are currently in clinical trials. Fluorine-containing nucleos(t)ides offer significant antiviral and anticancer activity. The insertion of a fluorine atom, either in the base or sugar of nucleos(t)ides, alters its electronic and steric parameters and transforms the lipophilicity, pharmacodynamic, and pharmacokinetic properties of these moieties. The fluorine atom restricts the oxidative metabolism of drugs and provides enzymatic metabolic stability towards the glycosidic bond of the nucleos(t)ide. The incorporation of fluorine also demonstrates additional hydrogen bonding interactions in receptors with enhanced biological profiles. The present article discusses the synthetic methodology and antiviral activities of FDA-approved drugs and ongoing fluoro-containing nucleos(t)ide drug candidates in clinical trials.

Rare disease variant curation from literature: assessing gaps with creatine transport deficiency in focus.

BACKGROUND: Approximately 4-8% of the world suffers from a rare disease. Rare diseases are often difficult to diagnose, and many do not have approved therapies. Genetic sequencing has the potential to shorten the current diagnostic process, increase mechanistic understanding, and facilitate research on therapeutic approaches but is limited by the difficulty of novel variant pathogenicity interpretation and the communication of known causative variants. It is unknown how many published rare disease variants are currently accessible in the public domain. RESULTS: This study investigated the translation of knowledge of variants reported in published manuscripts to publicly accessible variant databases. Variants, symptoms, biochemical assay results, and protein function from literature on the SLC6A8 gene associated with X-linked Creatine Transporter Deficiency (CTD) were curated and reported as a highly annotated dataset of variants with clinical context and functional details. Variants were harmonized, their availability in existing variant databases was analyzed and pathogenicity assignments were compared with impact algorithm predictions. 24% of the pathogenic variants found in PubMed articles were not captured in any database used in this analysis while only 65% of the published variants received an accurate pathogenicity prediction from at least one impact prediction algorithm. CONCLUSIONS: Despite being published in the literature, pathogenicity data on patient variants may remain inaccessible for genetic diagnosis, therapeutic target identification, mechanistic understanding, or hypothesis generation. Clinical and functional details presented in the literature are important to make pathogenicity assessments. Impact predictions remain imperfect but are improving, especially for single nucleotide exonic variants, however such predictions are less accurate or unavailable for intronic and multi-nucleotide variants. Developing text mining workflows that use natural language processing for identifying diseases, genes and variants, along with impact prediction algorithms and integrating with details on clinical phenotypes and functional assessments might be a promising approach to scale literature mining of variants and assigning correct pathogenicity. The curated variants list created by this effort includes context details to improve any such efforts on variant curation for rare diseases.

Eyes of the world on a warmer, less frozen, and greener Arctic.

Rapid atmospheric warming and sea-ice retreat are driving widespread changes in Arctic ecosystems, among the most pervasive of which is the "greening of the Arctic"-an increase in the cover and biomass of vegetation observed by satellites across much of the Arctic tundra biome. Determining the drivers, impacts, and feedbacks of Arctic greening requires continued investment in robust field, remote-sensing, and model-based capabilities, and improved integration of the knowledge base of Arctic peoples. These tools and approaches support the triangulation of complex problems and the development of improved projections for the warmer Arctic tundra biome of the future.

Application of the ConNECT Framework to achieve digital health equity.

BACKGROUND: The emphasis on digital technology and informatics in health care (digital health) has introduced innovative ways to deliver health care and engage populations in health research. However, inadequate attention to the development and implementation of digital health interventions can exacerbate health disparities. PURPOSE: We applied the transdisciplinary ConNECT Framework principles within the context of digital health, with an aim to describe strategies to achieve digital health equity. METHODS: We described the five ConNECT principles of (a) integrating context, (b) fostering a norm of inclusion, (c) ensuring equitable diffusion of innovations, (d) harnessing communication technology, and (e) prioritizing specialized training within the framework of achieving digital health equity. FINDINGS AND DISCUSSION: We describe proactive, actionable strategies for the systematic application of the ConNECT Framework principles to address digital health equity. Recommendations to reduce the digital health divide in nursing research and practice are also described.

ShinyCell: simple and sharable visualization of single-cell gene expression data.

MOTIVATION: As the generation of complex single-cell RNA sequencing datasets becomes more commonplace it is the responsibility of researchers to provide access to these data in a way that can be easily explored and shared. Whilst it is often the case that data is deposited for future bioinformatic analysis many studies do not release their data in a way that is easy to explore by non-computational researchers. RESULTS: In order to help address this we have developed ShinyCell, an R package that converts single-cell RNA sequencing datasets into explorable and shareable interactive interfaces. These interfaces can be easily customized in order to maximize their usability and can be easily uploaded to online platforms to facilitate wider access to published data. AVAILABILITY AND IMPLEMENTATION: ShinyCell is available at https://github.com/SGDDNB/ShinyCell and https://figshare.com/projects/ShinyCell/100439. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

AVIA 3.0: interactive portal for genomic variant and sample level analysis.

SUMMARY: The Annotation, Visualization and Impact Analysis (AVIA) is a web application combining multiple features to annotate and visualize genomic variant data. Users can investigate functional significance of their genetic alterations across samples, genes and pathways. Version 3.0 of AVIA offers filtering options through interactive charts and by linking disease relevant data sources. Newly incorporated services include gene, variant and sample level reporting, literature and functional correlations among impacted genes, comparative analysis across samples and against data sources such as TCGA and ClinVar, and cohort building. Sample and data management is now feasible through the application, which allows greater flexibility with sharing, reannotating and organizing data. Most importantly, AVIA's utility stems from its convenience for allowing users to upload and explore results without any a priori knowledge or the need to install, update and maintain software or databases. Together, these enhancements strengthen AVIA as a comprehensive, user-driven variant analysis portal. AVAILABILITYAND IMPLEMENTATION: AVIA is accessible online at https://avia-abcc.ncifcrf.gov.

An Evaluation of the Occupational Health Hazards of Peptide Couplers.

Peptide couplers (also known as amide bond-forming reagents or coupling reagents) are broadly used in organic chemical syntheses, especially in the pharmaceutical industry. Yet, occupational health hazards associated with this chemical class are largely unexplored, which is disconcerting given the intrinsic reactivity of these compounds. Several case studies involving occupational exposures reported adverse respiratory and dermal health effects, providing initial evidence of chemical sensitization. To address the paucity of toxicological data, a pharmaceutical cross-industry task force was formed to evaluate and assess the potential of these compounds to cause eye and dermal irritation as well as corrosivity and dermal sensitization. The goal of our work was to inform health and safety professionals as well as pharmaceutical and organic chemists of the occupational health hazards associated with this chemical class. To that end, 25 of the most commonly used peptide couplers and five hydrolysis products were selected for in vivo, in vitro, and in silico testing. Our findings confirmed that dermal sensitization is a concern for this chemical class with 21/25 peptide couplers testing positive for dermal sensitization and 15 of these being strong/extreme sensitizers. We also found that dermal corrosion and irritation (8/25) as well as eye irritation (9/25) were health hazards associated with peptide couplers and their hydrolysis products (4/5 were dermal irritants or corrosive and 4/5 were eye irritants). Resulting outcomes were synthesized to inform decision making in peptide coupler selection and enable data-driven hazard communication to workers. The latter includes harmonized hazard classifications, appropriate handling recommendations, and accurate safety data sheets, which support the industrial hygiene hierarchy of control strategies and risk assessment. Our study demonstrates the merits of an integrated, in vivo -in silico analysis, applied here to the skin sensitization endpoint using the Computer-Aided Discovery and REdesign (CADRE) and Derek Nexus programs. We show that experimental data can improve predictive models by filling existing data gaps while, concurrently, providing computational insights into key initiating events and elucidating the chemical structural features contributing to adverse health effects. This interactive, interdisciplinary approach is consistent with Green Chemistry principles that seek to improve the selection and design of less hazardous reagents in industrial processes and applications.

A framework for addressing health inequities in sexual and gender diverse populations by nurses.

There is a need to increase health equity in sexual and gender diverse (SGD) populations, a medically underserved group with widening health disparities. To better understand and address SGD health disparities, we have developed a multi-level conceptual framework for nurse scientists that incorporates the concepts of stigma, intersectionality, identify affirmation, and life course trajectory. Social determinants of health formed the background of our conceptual framework. Using this framework, we proposed recommendations to promote SGD health equity through nursing research, health care practice, health care education, and public health care policy. These recommendations align with the National Institute of Nursing Research's goals of dismantling structures that perpetuate racism and impede health inequity and the need to implement interventions that address social determinants of health. As a result, nurse scientists are poised to influence health care policy by translating effective interventions to reduce health disparities for the SGD population into practice.

Helicobacter pylori-Induced TLR9 Activation and Injury Are Associated With the Virulence-Associated Adhesin HopQ.

Helicobacter pylori is the strongest risk factor for gastric adenocarcinoma. The H. pylori cancer-associated cag pathogenicity island (cag-PAI) encodes a type IV secretion system (T4SS), which translocates microbial DNA and activates TLR9; however, most cag-PAI+-infected persons do not develop cancer and cag-PAI-independent regulators of pathogenesis, including strain-specific adhesins, remain understudied. We defined the relationships between H. pylori HopQ adhesin allelic type, gastric injury, and TLR9 activation. Type I hopQ alleles were significantly associated with magnitude of injury, cag-T4SS function, and TLR9 activation. Genetic deletion of hopQ significantly decreased H. pylori-induced TLR9 activation, implicating this adhesin in H. pylori-mediated disease.

Factors associated with appropriate treatment of acute-onset severe obstetrical hypertension.

BACKGROUND: The American College of Obstetricians and Gynecologists recommends that pregnant patients receive expeditious treatment with first-line antihypertensive agents within 1 hour of confirmed severe hypertension to reduce the risk for maternal stroke. However, it is unknown how often this guideline is followed and what factors influence a patient's likelihood of receiving guideline-concordant care. OBJECTIVE: We aimed to identify factors associated with receiving guideline-concordant treatment for an obstetrical hypertensive emergency. STUDY DESIGN: We present a case-control study of all pregnant and postpartum patients who had persistent severe hypertension (≥2 systolic blood pressures ≥160 mm Hg or diastolic blood pressure ≥110 mm Hg, or both within 1 hour of each other) during their delivery hospitalization at a tertiary hospital from October 1, 2013, to August 31, 2020. Data were extracted from the hospital electronic medical records using standard definitions and billing and diagnosis codes. We defined receipt of the recommended treatment as administration of a first-line antihypertensive agent (intravenous labetalol, intravenous hydralazine, or immediate-release oral nifedipine) within 60 minutes of the first or second severe-range blood pressure measurement during their delivery hospitalization. Delayed treatment was defined as the administration of a first-line agent >60 minutes after the second elevated blood pressure measurement. Patients were considered untreated if a first-line agent was never administered. Maternal sociodemographic, clinical and pregnancy factors, and time and day of the week of the hypertensive emergency were compared among patients who received the recommended treatment, those who received delayed treatment, and those who were untreated. Bivariate analyses were performed, and multinomial and multivariable logistic regression models were used to adjust for potential confounders. RESULTS: Of the 39,918 deliveries in the cohort, 1987 (5.0%) were complicated by severe, persistent obstetrical hypertension. Of these patients, 532 (26.8%) received the recommended treatment, 356 (17.9%) received delayed treatment, and 1099 (55.3%) did not receive any first-line antihypertensive therapy. The multinomial regression models that were used to compare these 3 groups indicated that patients who received the recommended treatment were more likely to be Black (adjusted odds ratio, 1.85; 95% confidence interval, 1.36-2.51), Hispanic (adjusted odds ratio, 1.77; 95% confidence interval, 1.28-2.52), or pregnant and at <37 weeks of gestation (adjusted odds ratio, 6.65; 95% confidence interval, 5.08-8.72). Treatment was less likely if the severe obstetrical hypertension emergency occurred overnight (7:00 PM to 6:59 AM) (adjusted odds ratio, 0.79; 95% confidence interval, 0.64-0.97) or during the postpartum period (adjusted odds ratio, 0.66; 95% confidence interval, 0.51-0.86). CONCLUSION: Approximately half of obstetrical patients with at least 2 documented severely elevated blood pressure measurements did not receive the recommended antihypertensive treatment. Of those who did receive treatment, about 40% had delayed treatment. Black and Hispanic race and preterm gestation were associated with an increased likelihood of receiving the recommended treatment when compared with White race and term pregnancies. Patients whose severe obstetrical hypertension emergency occurred overnight and those who were postpartum were less likely to receive any first-line antihypertensive treatment. Overall, patients without sociodemographic and clinical risk factors for severe obstetrical hypertension or other pregnancy complications were less likely to be treated. However, treatment improved significantly over time with the implementation of targeted quality measures and specific institutional policies based on the American College of Obstetricians and Gynecologists' latest severe obstetrical hypertension management guidelines.

Managing chronic rhinosinusitis in severe asthma.

PURPOSE OF REVIEW: Over half of all patients with severe asthma have chronic rhinosinusitis (CRS). Although distinct and specialized in function and form, the upper and lower airways share similar and inter-related pathophysiologic mechanisms. The severity of CRS particularly in patients with nasal polyps can correlate with that of asthma and vice versa. The purpose of this review is to elucidate the relationship between these conditions and summarize key elements in the management of these patients. RECENT FINDINGS: Several advances have been made in the evaluation and treatment of patients with CRS and asthma. Further understanding of inflammatory endotypes common to both CRS and severe asthma hopefully will provide appropriate and effective treatments and improve patient outcomes. SUMMARY: CRS significantly impairs quality of life, and therapies are targeted toward improving patient symptoms, and hopefully in the future, treating the underlying immune dysfunction. Management of CRS and severe asthma requires a multidisciplinary approach. Further real-world studies are necessary to determine the best treatment algorithm for these patients.

An open-source python library for detection of known and novel Kell, Duffy and Kidd variants from exome sequencing.

BACKGROUND AND OBJECTIVES: Next generation sequencing (NGS) has promising applications in transfusion medicine. Exome sequencing (ES) is increasingly used in the clinical setting, and blood group interpretation is an additional value that could be extracted from existing data sets. We provide the first release of an open-source software tailored for this purpose and describe its validation with three blood group systems. MATERIALS AND METHODS: The DTM-Tools algorithm was designed and used to analyse 1018 ES NGS files from the ClinSeq® cohort. Predictions were correlated with serology for 5 antigens in a subset of 108 blood samples. Discrepancies were investigated with alternative phenotyping and genotyping methods, including a long-read NGS platform. RESULTS: Of 116 genomic variants queried, those corresponding to 18 known KEL, FY and JK alleles were identified in this cohort. 596 additional exonic variants were identified KEL, ACKR1 and SLC14A1, including 58 predicted frameshifts. Software predictions were validated by serology in 108 participants; one case in the FY blood group and three cases in the JK blood group were discrepant. Investigation revealed that these discrepancies resulted from (1) clerical error, (2) serologic failure to detect weak antigenic expression and (3) a frameshift variant absent in blood group databases. CONCLUSION: DTM-Tools can be employed for rapid Kell, Duffy and Kidd blood group antigen prediction from existing ES data sets; for discrepancies detected in the validation data set, software predictions proved accurate. DTM-Tools is open-source and in continuous development.

Development and validation of an improved method for the detection of Salmonella in cinnamon bark and oregano leaves using the adsorbent beta zeolite in the pre-enrichment media.

The detection of Salmonella in spices is challenging due to the presence of antibacterial components. In this study, we evaluated the use of an adsorbent beta zeolite in pre-enrichment media to improve the recovery of Salmonella from cinnamon bark and oregano leaves. Samples (25 g) were spiked with varying levels of S. Montevideo or S. Senftenberg. After 2 weeks of stabilization at RT, betazeolite was added to cinnamon and oregano samples prior to the addition of 225 mL or 475 mL of pre-enrichment media, respectively. Detection sensitivity and rate of the test method were compared to the FDA Bacteriological Analytical Manual (BAM) method which requires the use of 2.5 L pre-enrichment broth. While Salmonella could not be detected in the test method using the reduced volume of pre-enrichment media alone, the addition of beta zeolite resulted in a positivity rate of 62% and 72.6% for cinnamon bark and oregano leaves respectively (all spike levels and both serovars combined). Furthermore, while there were differences in the LOD50 compared to the BAM method, there was no significant difference in the minimum level of detection between the betazeolite and the BAM methods. Our results demonstrate that the use of betazeolite in the pre-enrichment media offers a method with reduced media volumes without compromising on the sensitivity or efficiency of Salmonella detection in cinnamon bark and oregano leaves.

In vivo inhibition of tryptophan catabolism reorganizes the tuberculoma and augments immune-mediated control of Mycobacterium tuberculosis.

Mycobacterium tuberculosis continues to cause devastating levels of mortality due to tuberculosis (TB). The failure to control TB stems from an incomplete understanding of the highly specialized strategies that M. tuberculosis utilizes to modulate host immunity and thereby persist in host lungs. Here, we show that M. tuberculosis induced the expression of indoleamine 2,3-dioxygenase (IDO), an enzyme involved in tryptophan catabolism, in macrophages and in the lungs of animals (mice and macaque) with active disease. In a macaque model of inhalation TB, suppression of IDO activity reduced bacterial burden, pathology, and clinical signs of TB disease, leading to increased host survival. This increased protection was accompanied by increased lung T cell proliferation, induction of inducible bronchus-associated lymphoid tissue and correlates of bacterial killing, reduced checkpoint signaling, and the relocation of effector T cells to the center of the granulomata. The enhanced killing of M. tuberculosis in macrophages in vivo by CD4+ T cells was also replicated in vitro, in cocultures of macaque macrophages and CD4+ T cells. Collectively, these results suggest that there exists a potential for using IDO inhibition as an effective and clinically relevant host-directed therapy for TB.

Draft Genome of Fusarium oxysporum f. sp. cubense Strain Tropical Race-4 Infecting Cavendish (AAA) Group of Banana in India.

Fusarium wilt, caused by the fungus Fusarium oxysporum f. sp. cubense, is the most serious pandemic disease of banana. In this study, we report the draft genome of F. oxysporum f. sp. cubense vegetative compatibility group (VCG) 01213/16 of strain tropical race 4 (TR4) that infects the Cavendish (AAA) group of banana collected from the subtropical region in India. The genome assembly of SFoc TR4 comprises 47,384,463 bp with 4,034 contigs and 15,508 protein-coding regions. Based on VCG analysis, the fungal isolate belongs to F. oxysporum f. sp. cubense TR4 but the genome sequence of SFoc TR4 shows differences in secreted-in-xylem (SIX) protein gene clusters (specifically, SIX8) in comparison with the reference genome of F. oxysporum f. sp. lycopersici and F. oxysporum f. sp. cubense TR4.

Predictors of Tobacco Cessation Among American Indian/Alaska Native Adults Enrolled in a State Quitline.

Background: High rates of smoking are documented among some American Indian and Alaska Native (AI/AN) communities, with potential variability by region and urban/rural settings. Quitlines are a cost-effective strategy for providing evidence-based cessation treatment, but little is known about the effectiveness of quitline services for the AI/AN population. Objectives: This study compared demographic characteristics, tobacco use, and cessation and program utilization behaviors between AI/AN (n = 297) and Non-Hispanic White (NHW; n = 13,497) quitline callers. The study also identified predictors of 30-day cessation at 7-month follow-up among AI/AN callers and determined if predictors were different between AI/AN and NHW callers. Methods: Data from callers to the Arizona Smokers' Helpline between January 2011 and June 2016 were analyzed. Results: At enrollment, AI/AN callers were less likely to use tobacco daily and were less dependent on nicotine compared to NHW callers. Both groups reported similar rates of 30-day cessation at 7-month follow-up (37.3% and 39.7% for AI/AN and NHW callers, respectively). For AI/AN callers, 30-day cessation was significantly associated with tobacco cessation medication use (OR = 2.24, 95% CI: 1.02-4.93), number of coaching sessions (OR = 1.14, 95% CI: 1.04-1.26), and other smokers in the home (OR = 0.41, 95% CI: 0.19-0.91). The effect of other smokers in the home was significantly different between AI/AN and NHW callers (p = .007). Conclusions: Different individual characteristics and predictors of cessation among AI/AN callers compared to NHW callers were documented. Findings may be used to inform the development of culturally-tailored strategies and protocols for AI/AN quitline callers.

Changes in timing of seasonal peak photosynthetic activity in northern ecosystems.

Seasonality in photosynthetic activity is a critical component of seasonal carbon, water, and energy cycles in the Earth system. This characteristic is a consequence of plant's adaptive evolutionary processes to a given set of environmental conditions. Changing climate in northern lands (>30°N) alters the state of climatic constraints on plant growth, and therefore, changes in the seasonality and carbon accumulation are anticipated. However, how photosynthetic seasonality evolved to its current state, and what role climatic constraints and their variability played in this process and ultimately in carbon cycle is still poorly understood due to its complexity. Here, we take the "laws of minimum" as a basis and introduce a new framework where the timing (day of year) of peak photosynthetic activity (DOYPmax ) acts as a proxy for plant's adaptive state to climatic constraints on its growth. Our analyses confirm that spatial variations in DOYPmax reflect spatial gradients in climatic constraints as well as seasonal maximum and total productivity. We find a widespread warming-induced advance in DOYPmax (-1.66 ± 0.30 days/decade, p < 0.001) across northern lands, indicating a spatiotemporal dynamism of climatic constraints to plant growth. We show that the observed changes in DOYPmax are associated with an increase in total gross primary productivity through enhanced carbon assimilation early in the growing season, which leads to an earlier phase shift in land-atmosphere carbon fluxes and an increase in their amplitude. Such changes are expected to continue in the future based on our analysis of earth system model projections. Our study provides a simplified, yet realistic framework based on first principles for the complex mechanisms by which various climatic factors constrain plant growth in northern ecosystems.