Therapeutic expression of RAS Degrader RRSP in Pancreatic Cancer via Nanocarrier-mediated mRNA delivery.

About one-third of all human cancers encode abnormal RAS proteins locked in a constitutively activated state to drive malignant transformation and uncontrolled tumor growth. Despite progress in development of small molecules for treatment of mutant KRAS cancers, there is a need for a pan-RAS inhibitor that is effective against all RAS isoforms and variants and that avoids drug resistance. We have previously shown that the naturally occurring bacterial enzyme RAS/RAP1-specific endopeptidase (RRSP) is a potent RAS degrader that can be re-engineered as a biologic therapy to induce regression of colorectal, breast, and pancreatic tumors. Here, we have developed a strategy for in vivo expression of this RAS degrader via mRNA delivery using a synthetic nonviral gene delivery platform composed of the poly(ethylene glycol)-b-poly(propylene sulfide) (PEG-b-PPS) block copolymer conjugated to a dendritic cationic peptide (PPDP2). Using this strategy, PPDP2 is shown to deliver mRNA to both human and mouse pancreatic cells resulting in RRSP gene expression, activity, and loss of cell proliferation. Further, pancreatic tumors are reduced with residual tumors lacking detectable RAS and phosphorylated ERK. These data support that mRNA-loaded synthetic nanocarrier delivery of a RAS degrader can interrupt the RAS signaling system within pancreatic cancer cells while avoiding side effects during therapy.

Chronic activation of a negative engram induces behavioral and cellular abnormalities.

Negative memories engage a brain and body-wide stress response in humans that can alter cognition and behavior. Prolonged stress responses induce maladaptive cellular, circuit, and systems-level changes that can lead to pathological brain states and corresponding disorders in which mood and memory are affected. However, it is unclear if repeated activation of cells processing negative memories induces similar phenotypes in mice. In this study, we used an activity-dependent tagging method to access neuronal ensembles and assess their molecular characteristics. Sequencing memory engrams in mice revealed that positive (male-to-female exposure) and negative (foot shock) cells upregulated genes linked to anti- and pro-inflammatory responses, respectively. To investigate the impact of persistent activation of negative engrams, we chemogenetically activated them in the ventral hippocampus over 3 months and conducted anxiety and memory-related tests. Negative engram activation increased anxiety behaviors in both 6- and 14-month-old mice, reduced spatial working memory in older mice, impaired fear extinction in younger mice, and heightened fear generalization in both age groups. Immunohistochemistry revealed changes in microglial and astrocytic structure and number in the hippocampus. In summary, repeated activation of negative memories induces lasting cellular and behavioral abnormalities in mice, offering insights into the negative effects of chronic negative thinking-like behaviors on human health.

Appearance Dissatisfaction and Body Dysmorphic Disorder in the Dermatology Patient.

Dermatologists routinely see patients with inflammatory skin conditions and aesthetic concerns that involve substantial psychological comorbidity. However, most dermatologists do not receive formal training in this area, and many are unsure how to best help treat certain patients holistically. Body dysmorphic disorder (BDD) is a common and distressing psychiatric condition that disproportionately impacts dermatology patients, including patients living with chronic inflammatory skin conditions such as acne and atopic dermatitis. BDD is characterized by preoccupation with nonexistent or minimally noticeable flaws in physical appearance that cause clinically significant distress or impairment in functioning. Adolescent populations may be particularly vulnerable to clinically significant body image dissatisfaction, including BDD, due to the high prevalence of acne and the pervasive role of social media platforms. The rise of social media may exacerbate body image issues through repetitive exposure to idealized and often unrealistic beauty standards. Though screening questionnaires can assist dermatologists in recognizing BDD, dermatologists must collaborate with mental health providers to provide comprehensive care to vulnerable patients, including adolescents.J Drugs Dermatol. 2024;23(7):545-550.  doi:10.36849/JDD.8156.

Natural Killer Cell Presence in Antibody-Mediated Rejection.

Transcript analyses highlight an important contribution of natural killer (NK) cells to microvascular inflammation (MVI) in antibody-mediated rejection (ABMR), but only few immunohistologic studies have quantified their spatial distribution within graft tissue. This study included 86 kidney transplant recipients who underwent allograft biopsies for a positive donor-specific antibody (DSA) result. NK cells were visualized and quantified within glomeruli and peritubular capillaries (PTC), using immunohistochemistry for CD34 alongside CD16/T-bet double-staining. Staining results were analyzed in relation to histomorphology, microarray analysis utilizing the Molecular Microscope Diagnostic System, functional NK cell genetics, and clinical outcomes. The number of NK cells in glomeruli per mm2 glomerular area (NKglom) and PTC per mm2 cortical area (NKPTC) was substantially higher in biopsies with ABMR compared to those without rejection, and correlated with MVI scores (NKglom Spearman's correlation coefficient [SCC] = 0.55, p < 0.001, NKPTC 0.69, p < 0.001). In parallel, NK cell counts correlated with molecular classifiers reflecting ABMR activity (ABMRprob: NKglom 0.59, NKPTC 0.75) and showed a trend towards higher levels in association with high functional FCGR3A and KLRC2 gene variants. Only NKPTC showed a marginally significant association with allograft function and survival. Our immunohistochemical results support the abundance of NK cells in DSA-positive ABMR.

Efficacy and Safety of Lerodalcibep in Patients With or at High Risk of Cardiovascular Disease: A Randomized Clinical Trial.

Importance: Recent changes in national and international lipid guidelines for reducing cardiovascular events recommend additional drugs, greater reductions, and lower targets for low-density lipoprotein cholesterol (LDL-C) if not attained with statins. The achievement of these targets with proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors has not yet been evaluated in a randomized clinical trial. Objective: To evaluate the 52-week safety and efficacy of lerodalcibep, a small anti-PCSK9-binding protein, in patients with cardiovascular disease (CVD) or who are at very high or high risk of CVD and requiring addition LDL-C-lowering treatment. Design, Setting, and Participants: This was a randomized, double-blind, placebo-controlled phase 3 trial. The trial was conducted at 66 clinics in 11 countries between April 23, 2021, and November 15, 2023. Individuals 18 years and older taking maximally tolerated statin therapy with LDL-C of 70 mg/dL or greater with CVD or 100 mg/dL or greater if at high risk of CVD were included. Interventions: Patients were randomized 2:1 to monthly 1.2-mL subcutaneous lerodalcibep, 300 mg, or placebo for 52 weeks. Main Outcomes and Measures: The safety analysis included all randomized patients. The co-primary efficacy end points were percent change from baseline in LDL-C at week 52 and the mean of weeks 50 and 52. Secondary efficacy outcomes included additional lipid apolipoprotein measures and achievement of guideline-recommended LDL-C targets. Results: Of 922 randomized participants (mean [range] age, 64.5 [27-87] years; 414 [44.9%] female; mean [SD] baseline LDL-C, 116.2 [43.5] mg/dL), 811 (88%) completed the trial. The mean (SE) placebo-adjusted reduction in LDL-C with lerodalcibep by modified intention-to-treat (mITT) analysis was 56.2% (2.2%) at week 52 and 62.7% (1.9%) for the mean of weeks 50 and 52; 49.7% (2.4%) and 55.3% (2.2%) by ITT with imputation using a washout model, and 60.3% (2.3%) and 65.9% (1.9%) by per-protocol analysis at week 52 and the mean of weeks 50 and 52, respectively (P < .001 for all). With lerodalcibep, 555 of 615 participants (90%) achieved both a reduction in LDL-C of 50% or greater and recommended LDL-C targets during the study. Treatment-emergent adverse events were similar between lerodalcibep and placebo, except for injection site reactions. These occurred in 42 of 613 participants receiving lerodalcibep (6.9%) compared to 1 of 307 receiving placebo (0.3%), were graded mild or moderate, and did not result in higher discontinuation of treatment, at 26 of 613 (4.2%) and 14 of 307 (4.6%), respectively. Sporadic in vitro antidrug antibodies were detected, which had no impact on free PCSK9 or LDL-C-lowering efficacy. Conclusions and Relevance: In this trial, lerodalcibep, a novel anti-PCSK9 small binding protein, dosed monthly and stable at ambient temperatures significantly reduced LDL-C in patients with CVD or at high risk of atherosclerotic cardiovascular disease with a safety profile similar to placebo. These results support long-term use of lerodalcibep in patients with CVD or at high risk of CVD who are unable to achieve adequate LDL-C reduction while receiving maximal tolerated statins alone. Trial Registration: ClinicalTrials.gov Identifier: NCT04806893.

Mudskipper detects combinatorial RNA binding protein interactions in multiplexed CLIP data.

The uncovering of protein-RNA interactions enables a deeper understanding of RNA processing. Recent multiplexed crosslinking and immunoprecipitation (CLIP) technologies such as antibody-barcoded eCLIP (ABC) dramatically increase the throughput of mapping RNA binding protein (RBP) binding sites. However, multiplex CLIP datasets are multivariate, and each RBP suffers non-uniform signal-to-noise ratio. To address this, we developed Mudskipper, a versatile computational suite comprising two components: a Dirichlet multinomial mixture model to account for the multivariate nature of ABC datasets and a softmasking approach that identifies and removes non-specific protein-RNA interactions in RBPs with low signal-to-noise ratio. Mudskipper demonstrates superior precision and recall over existing tools on multiplex datasets and supports analysis of repetitive elements and small non-coding RNAs. Our findings unravel splicing outcomes and variant-associated disruptions, enabling higher-throughput investigations into diseases and regulation mediated by RBPs.

Malaria and other infections induce polyreactive antibodies that impact SARS-CoV-2 seropositivity estimations in endemic settings.

Anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence is used to estimate the proportion of individuals within a population previously infected, to track viral transmission, and to monitor naturally and vaccine-induced immune protection. However, in sub-Saharan African settings, antibodies induced by higher exposure to pathogens may increase unspecific seroreactivity to SARS-CoV-2 antigens, resulting in false positive responses. To investigate the level and type of unspecific seroreactivitiy to SARS-CoV-2 in Africa, we measured immunoglobulin G (IgG), IgA, and IgM to a broad panel of antigens from different pathogens by Luminex in 602 plasma samples from African and European subjects differing in coronavirus disease 2019, malaria, and other exposures. Seroreactivity to SARS-CoV-2 antigens was higher in prepandemic African than in European samples and positively correlated with antibodies against human coronaviruses, helminths, protozoa, and especially Plasmodium falciparum. African subjects presented higher levels of autoantibodies, a surrogate of polyreactivity, which correlated with P. falciparum and SARS-CoV-2 antibodies. Finally, we found an improved sensitivity in the IgG assay in African samples when using urea as a chaotropic agent. In conclusion, our data suggest that polyreactive antibodies induced mostly by malaria are important mediators of the unspecific anti-SARS-CoV-2 responses, and that the use of dissociating agents in immunoassays could be useful for more accurate estimates of SARS-CoV-2 seroprevalence in African settings.

An implantable piezoelectric ultrasound stimulator (ImPULS) for deep brain activation.

Precise neurostimulation can revolutionize therapies for neurological disorders. Electrode-based stimulation devices face challenges in achieving precise and consistent targeting due to the immune response and the limited penetration of electrical fields. Ultrasound can aid in energy propagation, but transcranial ultrasound stimulation in the deep brain has limited spatial resolution caused by bone and tissue scattering. Here, we report an implantable piezoelectric ultrasound stimulator (ImPULS) that generates an ultrasonic focal pressure of 100 kPa to modulate the activity of neurons. ImPULS is a fully-encapsulated, flexible piezoelectric micromachined ultrasound transducer that incorporates a biocompatible piezoceramic, potassium sodium niobate [(K,Na)NbO3]. The absence of electrochemically active elements poses a new strategy for achieving long-term stability. We demonstrated that ImPULS can i) excite neurons in a mouse hippocampal slice ex vivo, ii) activate cells in the hippocampus of an anesthetized mouse to induce expression of activity-dependent gene c-Fos, and iii) stimulate dopaminergic neurons in the substantia nigra pars compacta to elicit time-locked modulation of nigrostriatal dopamine release. This work introduces a non-genetic ultrasound platform for spatially-localized neural stimulation and exploration of basic functions in the deep brain.

Comparative Performance of ChatGPT 3.5 and GPT4 on Rhinology Standardized Board Examination Questions.

Objective: Advances in deep learning and artificial intelligence (AI) have led to the emergence of large language models (LLM) like ChatGPT from OpenAI. The study aimed to evaluate the performance of ChatGPT 3.5 and GPT4 on Otolaryngology (Rhinology) Standardized Board Examination questions in comparison to Otolaryngology residents. Methods: This study selected all 127 rhinology standardized questions from www.boardvitals.com, a commonly used study tool by otolaryngology residents preparing for board exams. Ninety-three text-based questions were administered to ChatGPT 3.5 and GPT4, and their answers were compared with the average results of the question bank (used primarily by otolaryngology residents). Thirty-four image-based questions were provided to GPT4 and underwent the same analysis. Based on the findings of an earlier study, a pass-fail cutoff was set at the 10th percentile. Results: On text-based questions, ChatGPT 3.5 answered correctly 45.2% of the time (8th percentile) (P = .0001), while GPT4 achieved 86.0% (66th percentile) (P = .001). GPT4 answered image-based questions correctly 64.7% of the time. Projections suggest that ChatGPT 3.5 might not pass the American Board of Otolaryngology Written Question Exam (ABOto WQE), whereas GPT4 stands a strong chance of passing. Discussion: The older LLM, ChatGPT 3.5, is unlikely to pass the ABOto WQE. However, the advanced GPT4 model exhibits a much higher likelihood of success. This rapid progression in AI indicates its potential future role in otolaryngology education. Implications for Practice: As AI technology rapidly advances, it may be that AI-assisted medical education, diagnosis, and treatment planning become commonplace in the medical and surgical landscape. Level of Evidence: Level 5.

Improved Clinical Outcomes After Partial Repair and In-Situ Biceps Tenodesis for the Treatment of Massive Irreparable Rotator Cuff Tears.

PURPOSE: The aim of this study was to present the short-term outcomes of arthroscopic in-situ biceps tenodesis combined with partial rotator cuff repair in patients with massive irreparable rotator cuff tears (MIRCT) and minimal arthritis. METHODS: A retrospective review was conducted utilizing prospectively maintained institutional databases to identify patients who had undergone a partial rotator cuff repair with in-situ biceps tenodesis between March 2017 to December 2022. Patients were included if they (1) were diagnosed pre- or intra-operatively with MIRCT, and (2) had complete pre-operative and minimum 1-year post-operative patient-reported outcome measures. RESULTS: Thirty-nine patients met the eligibility criteria and were included for analysis. The mean age of the study participants was 65 ± 7 years (range: 46 - 76) with 76.9% (n = 30) being male. The average follow-up was 21 ± 12 months (range: 12 - 58). Patients experienced significant improvement in visual analog scale for pain (VAS), American Shoulder and Elbow Surgeons (ASES) score, and subjective assessment numeric evaluation (SANE) score (p < 0.001 for all comparisons). The pre- to post-operative improvement was 3.1 ± 2.3 for VAS, 27.5 ± 20.6 for ASES, and 31.3 ± 24.8 for SANE. Postoperatively, the average scores for VAS, ASES, and SANE were 1.3 ± 1.5, 79.5 ± 17.0, and 69.6 ± 20.1, respectively. Twenty-six patients (66.7%) achieved the minimal clinically important difference (MCID) for VAS, thirty-three patients (84.6%) achieved the MCID for ASES, and thirty patients (76.9%) achieved the MCID for SANE.. CONCLUSIONS: Partial rotator cuff repair with in-situ biceps tenodesis is an effective treatment for MIRCT, leading to significant improvements in patient-reported outcome and range of motion measures compared to preoperative conditions.

Hypoxia inducible factor 2α promotes tolerogenic macrophage development during cardiac transplantation through transcriptional regulation of colony stimulating factor 1 receptor.

Solid organ transplantation mobilizes myeloid cells, including monocytes and macrophages, which are central protagonists of allograft rejection. However, myeloid cells can also be functionally reprogrammed by perioperative costimulatory blockade to promote a state of transplantation tolerance. Transplantation tolerance holds promise to reduce complications from chronic immunosuppression and promote long-term survival in transplant recipients. We sought to identify different mediators of transplantation tolerance by performing single-cell RNA sequencing of acute rejecting or tolerized cardiac allografts. This led to the unbiased identification of the transcription factor, hypoxia inducible factor (HIF)-2α, in a subset of tolerogenic monocytes. Using flow cytometric analyses and mice with conditional loss or gain of function, we uncovered that myeloid cell expression of HIF-2α was required for costimulatory blockade-induced transplantation tolerance. While HIF-2α was dispensable for mobilization of tolerogenic monocytes, which were sourced in part from the spleen, it promoted the expression of colony stimulating factor 1 receptor (CSF1R). CSF1R mediates monocyte differentiation into tolerogenic macrophages and was found to be a direct transcriptional target of HIF-2α in splenic monocytes. Administration of the HIF stabilizer, roxadustat, within micelles to target myeloid cells, increased HIF-2α in splenic monocytes, which was associated with increased CSF1R expression and enhanced cardiac allograft survival. These data support further exploration of HIF-2α activation in myeloid cells as a therapeutic strategy for transplantation tolerance.

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration.

Canopy-forming kelps are essential foundation species, supporting biodiversity and providing ecosystem services valued at more than USD$500 billion annually. The global decline of giant kelp forests due to climate-driven ecological stressors underscores the need for innovative restoration strategies. An emerging restoration technique known as 'green gravel' aims to seed young kelps over large areas without extensive underwater labor and represents a promising restoration tool due to cost-effectiveness and scalability. This video article illustrates a protocol and tools for culturing giant kelp, Macrocystis pyrifera. It also provides a resource for further studies to address the successes and limitations of this method in field settings. We outline field and laboratory-based methods for collecting reproductive tissue, sporulating, inoculating, rearing, maintaining, and monitoring substrates seeded with early life stages using the 'green gravel' technique. The protocol simplifies and centralizes current restoration practices in this field to support researchers, managers, and stakeholders in meeting kelp conservation objectives.

Hofbauer cells and fetal brain microglia share transcriptional profiles and responses to maternal diet-induced obesity.

Maternal immune activation is associated with adverse offspring neurodevelopmental outcomes, many mediated by in utero microglial programming. As microglia remain inaccessible throughout development, identification of noninvasive biomarkers reflecting fetal brain microglial programming could permit screening and intervention. We used lineage tracing to demonstrate the shared ontogeny between fetal brain macrophages (microglia) and fetal placental macrophages (Hofbauer cells) in a mouse model of maternal diet-induced obesity, and single-cell RNA-seq to demonstrate shared transcriptional programs. Comparison with human datasets demonstrated conservation of placental resident macrophage signatures between mice and humans. Single-cell RNA-seq identified common alterations in fetal microglial and Hofbauer cell gene expression induced by maternal obesity, as well as sex differences in these alterations. We propose that Hofbauer cells, which are easily accessible at birth, provide insights into fetal brain microglial programs and may facilitate the early identification of offspring vulnerable to neurodevelopmental disorders.

A Preoperative Risk Assessment Tool for Predicting Adverse Outcomes among Total Shoulder Arthroplasty Patients.

BACKGROUND: With the increased utilization of Total Shoulder Arthroplasty (TSA) in the outpatient setting, understanding the risk factors associated with complications and hospital readmissions becomes a more significant consideration. Prior developed assessment metrics in the literature either consisted of hard-to-implement tools or relied on postoperative data to guide decision-making. This study aimed to develop a preoperative risk assessment tool to help predict the risk of hospital readmission and other postoperative adverse outcomes. METHODS: We retrospectively evaluated the 2019-2022(Q2) Medicare fee-for-service inpatient and outpatient claims data to identify primary anatomic or reserve TSAs and to predict postoperative adverse outcomes within 90 days post-discharge, including all-cause hospital readmissions, postoperative complications, emergency room visits, and mortality. We screened 108 candidate predictors, including demographics, social determinants of health, TSA indications, prior 12-month hospital and skilled nursing home admissions, comorbidities measured by hierarchical conditional categories, and prior orthopedic device-related complications. We used two approaches to reduce the number of predictors based on 80% of the data: 1) the Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression and 2) the machine-learning-based cross-validation approach, with the resulting predictor sets being assessed in the remaining 20% of the data. A scoring system was created based on the final regression models' coefficients, and score cutoff points were determined for low, medium, and high-risk patients. RESULTS: A total of 208,634 TSA cases were included. There was a 6.8% hospital readmission rate with 11.2% of cases having at least one postoperative adverse outcome. Fifteen covariates were identified for predicting hospital readmission with the area under the curve (AUC) of 0.70, and 16 were selected to predict any adverse postoperative outcome (AUC=0.75). The LASSO and machine learning approaches had similar performance. Advanced age and a history of fracture due to orthopedic devices are among the top predictors of hospital readmissions and other adverse outcomes. The score range for hospital readmission and an adverse postoperative outcome was 0 to 48 and 0 to 79, respectively. The cutoff points for the low, medium, and high-risk categories are 0-9, 10-14, ≥15 for hospital readmissions, and 0-11, 12-16, ≥17 for the composite outcome. CONCLUSION: Based on Medicare fee-for-service claims data, this study presents a preoperative risk stratification tool to assess hospital readmission or adverse surgical outcomes following TSA. Further investigation is warranted to validate these tools in a variety of diverse demographic settings and improve their predictive performance.

Racial and Gender Disparities in Utilization of Outpatient Total Shoulder Arthroplasties.

BACKGROUND: Utilization in outpatient total shoulder arthroplasties (TSAs) has increased significantly in recent years. It remains largely unknown whether utilization of outpatient TSA differs across gender and racial groups. This study aimed to quantify racial and gender disparities both nationally and by geographic regions. METHODS: 168,504 TSAs were identified using Medicare fee-for-service (FFS) inpatient and outpatient claims data and beneficiary enrollment data from 2020 to 2022Q4. The percentage of outpatient cases, defined as cases discharged on the same day of surgery, was evaluated by racial and gender groups and by different census divisions. A multivariate logistics regression model controlling for patient socio-demographic information (white vs. non-white race, age, gender, and dual eligibility for both Medicare and Medicaid), hierarchical condition category (HCC) score, hospital characteristics, year fixed effects, and patient residency state fixed effects was performed. RESULTS: The TSA volume per 1000 beneficiaries was 2.3 for the White population compared to 0.8, 0.6 and 0.3 for the Black, Hispanic, and Asian population, respectively. A higher percentage of outpatient TSAs were in White patients (25.6%) compared to Black patients (20.4%) (p < 0.001). The Black TSA patients were also younger, more likely to be female, more likely to be dually eligible for Medicaid, and had higher HCC risk scores. After controlling for patient socio-demographic characteristics and hospital characteristics, the odds of receiving outpatient TSAs were 30% less for Black than the White group (OR 0.70). Variations were observed across different census divisions with South Atlantic (0.67, p < 0.01), East North Central (0.56, p < 0.001), and Middle Atlantic (0.36, p < 0.01) being the four regions observed with significant racial disparities. Statistically significant gender disparities were also found nationally and across regions, with an overall odds ratio of 0.75 (p < 0.001). DISCUSSION: Statistically significant racial and gender disparities were found nationally in outpatient TSAs, with Black patients having 30% (p < 0.001) fewer odds of receiving outpatient TSAs than white patients, and female patients with 25% (p < 0.001) fewer odds than male patients. Racial and gender disparities continue to be an issue for shoulder arthroplasties after the adoption of outpatient TSAs.

Perspectives and Recommendations from Hospitalized Patients with Substance Use Disorders: A Qualitative Study.

BACKGROUND: Individuals with substance use disorders (SUDs) are hospitalized in growing numbers. Stigma is pervasive among their hospital providers, and SUD management during medical admissions is often inadequate. However, little is known about how these patients perceive their care quality. In particular, few studies have explored their positive care perceptions or recommendations for improvement. OBJECTIVE: To explore perspectives on positive aspects, negative aspects, and consequences of care, as well as recommendations for improvement among hospitalized patients with SUDs. DESIGN AND PARTICIPANTS: We conducted semi-structured, in-depth bedside interviews (n = 15) with patients who have been diagnosed with a SUD and were admitted to medical or surgical floors of an urban academic medical center. APPROACH: Interviews explored patients' hospital experiences and recommendations for improvement. The interviews were audio-recorded, transcribed verbatim, and imported into NVivo software. Two reviewers independently coded the transcripts using interpretative phenomenological analysis and inductive thematic analysis according to grounded theory, and recurring themes were identified from the data. Patients' demographic and clinical data were analyzed with descriptive statistics. KEY RESULTS: Perceived clinical and emotional proficiency were the most important components of positive experiences, whereas perceived bias and stigmatized attitudes, clinical improficiency, and inhumane treatment were characteristic of negative experiences. Such care components were most consequential for patients' emotional well-being, trust, and care quality. Recommendations for improving care included specific suggestions for initiating and promoting continued recovery, educating, and partnering in compassionate care. CONCLUSIONS: Hospitalized patients with SUDs often experience lower quality and less compassionate care linked to pervasive stigma and poor outcomes. Our study highlights under-recognized perspectives from this patient population, including socioemotional consequences of care and recommendations grounded in lived experiences. By striving to advance our care in accordance with patients' viewpoints, we can turn hospitalizations into opportunities for engagement and promoting recovery.

Importance of Various E-Cigarette Device and E-Liquid Characteristics by Smoking Status among Young Adults Who Vape.

BACKGROUND: E-cigarette product characteristics are known to influence appeal among young adults. Understanding which characteristics appeal to individuals with (vs. without) a history of combusted tobacco use is essential for developing effective tobacco control policies. METHODS: Anonymous, self-report data were collected from young adults (18-30 years) who had used e-cigarettes in the past 30 days (n = 295) online via Prolific from September-October 2019. Using a visual analogue scale (range: 0-100), participants rated the importance of ten e-cigarette device and nine e-liquid characteristics. Adjusted linear regression models were used to evaluate the association of combusted tobacco use status (never, former, current) with mean rating scores for each of the nineteen characteristics. RESULTS: The most important e-cigarette device characteristics were price (Mean = 81.1; [SD = 17.9]), size (Mean = 75.5 [SD = 20.9]), and hit strength (Mean = 73.8 [SD = 20.4]) while the most important e-liquid characteristics were flavor (M = 85.1 [SD = 16.3]), price (M = 80.9 [SD = 18.4]), and nicotine level (M = 77.8 [18.9]). Differences by combusted tobacco use status were observed for device brand, temperature/voltage, customizability, color, and popularity, with the highest ratings generally observed among those concurrently using combustible tobacco products. For e-liquids, differences by use status were observed for flavor, price, and bottle type. Notably, those concurrently using combusted products rated flavor as less important than those with no history of combustible tobacco use (B=-5.01[95%CI=-9.97, -0.05]). CONCLUSIONS: The self-rated importance of e-cigarette device and e-liquid attributes varies by combustible tobacco use status among young adults which may be used to inform regulatory decisions regarding e-cigarette product characteristics.

Visualizing 13C-Labeled Metabolites in Maize Root Tips with Mass Spectrometry Imaging.

Tracing in vivo isotope-labeled metabolites has been used to study metabolic pathways or flux analysis. However, metabolic differences between the cells have been often ignored in these studies due to the limitation of solvent-based extraction. Here we demonstrate that the mass spectrometry imaging of in vivo isotope-labeled metabolites, referred to as MSIi, can provide important insights into metabolic dynamics with cellular resolution that may supplement the traditional metabolomics and flux analysis. Developing maize root tips are adopted as a model system for MSIi by supplementing 200 mM [U-13C]glucose in 0.1x Hoagland medium. MSIi data sets were acquired for longitudinal sections of newly grown maize root tips after growing 5 days in the medium. A total of 56 metabolite features were determined to have been 13C-labeled based on accurate mass and the number of carbon matching with the metabolite databases. Simple sugars and their derivatives were fully labeled, but some small metabolites were partially labeled with a significant amount of fully unlabeled metabolites still present, suggesting the recycling of "old" metabolites in the newly grown tissues. Some distinct localizations were found, including the low abundance of hexose and its derivatives in the meristem, the high abundance of amino acids in the meristem, and the localization to epidermal and endodermal cells for lipids and their intermediates. Fatty acids and lipids were slow in metabolic turnover and showed various isotopologue distributions with intermediate building blocks, which may provide flux information for their biosynthesis.