Childhood Maltreatment and Physical Health in College Students: Physical Activity and Binge Eating as Moderators.

Child maltreatment leads to pervasive physical health problems. For individuals with a child maltreatment history, physiological risk factors for future disease are apparent by young adulthood. The current study explored the role that physical activity and binge eating may have in the trajectory from child maltreatment to poor adult health. We administered the following measures to 100 female and male college students: resting heart rate assessment, symptoms of illness, and the Childhood Trauma Questionnaire (CTQ-SF) to assess maltreatment history. After this session, participants wore a Fitbit that provided physical activity data (low, moderate, and vigorous activity, and total steps) in a free-living environment for a period of 10 days. Physical activity moderated the pathway between maltreatment history and both resting heart rate and symptoms of illness. In individuals with higher CTQ scores, more low-intensity physical activity and total steps were related to fewer symptoms of illness and lower resting heart rate, respectively. Binge-eating behavior moderated the pathway between maltreatment and symptoms of illness, such that greater binge-eating behavior was associated with more self-reported illness symptoms in participants with higher CTQ scores. These findings suggest that on-campus interventions targeting physical activity and healthy eating behaviors will improve the long-term health of young adults with maltreatment history.

Establishing and Characterizing the Molecular Profiles, Cellular Features, and Clinical Utility of a Patient-Derived Xenograft Model Using Benign Prostatic Tissues.

Benign prostatic hyperplasia (BPH) is a common condition marked by the enlargement of the prostate gland, which often leads to significant urinary symptoms and a decreased quality of life. The development of clinically relevant animal models is crucial for understanding the pathophysiology of BPH and improving treatment options. This study aims to establish a patient-derived xenograft (PDX) model using benign prostatic tissues to explore the molecular and cellular mechanisms of BPH. PDXs were generated by implanting fresh BPH (transition zone) and paired normal (peripheral zone) prostate tissue from 8 patients under the renal capsule of immunodeficient male mice. Tissue weight, architecture, cellular proliferation, apoptosis, prostate-specific marker expression, and molecular profiles of PDXs were assessed after 1 week and 1, 2, or 3 months of implantation by immunohistochemistry, enzyme-linked immunosorbent assay, transcriptomics, and proteomics. Responses to finasteride, a standard-of-care therapy, were evaluated. PDXs maintained histologic and molecular characteristics of the parental human tissues. BPH, but not normal PDXs, demonstrated significant increases in weight and cellular proliferation, particularly at 1 month. Molecular profiling revealed specific gene and protein expression patterns correlating with BPH pathophysiology. Specifically, an increased immune and stress response was observed at 1 week, followed by increased expression of proliferation markers and BPH-specific stromal signaling molecules, such as BMP5 and CXCL13, at 1 month. Graft stabilization to preimplant characteristics was apparent between 2 and 3 months. Treatment with finasteride reduced proliferation, increased apoptosis, and induced morphologic changes consistent with therapeutic responses observed in human BPH. Our PDX model recapitulates the morphologic, histologic, and molecular features of human BPH, offering a significant advancement in modeling the complex interactions of cell types in BPH microenvironments. These PDXs respond to therapeutic intervention as expected, providing a valuable tool for preclinical testing of new therapeutics that will improve the well-being of BPH patients.

The Spironolactone Initiation Registry Randomized Interventional Trial in Heart Failure with Preserved Ejection Fraction (SPIRRIT-HFpEF): Rationale and design.

AIMS: Benefits of mineralocorticoid receptor antagonists (MRAs) in heart failure with preserved and mildly reduced ejection fraction (HFpEF/HFmrEF) have not been established. Conventional randomized controlled trials are complex and expensive. The Spironolactone Initiation Registry Randomized Interventional Trial in Heart Failure with Preserved Ejection Fraction (SPIRRIT-HFpEF) is a unique pragmatic registry-based randomized controlled trial. METHODS: SPIRRIT-HFpEF is a multicentre, prospective, randomized, open-label, blinded endpoint trial conducted on platforms in the Swedish Heart Failure Registry (SwedeHF) and the United States (US) Trial Innovation Network. Patients with HFpEF/HFmrEF are randomized 1:1 to spironolactone (or eplerenone) in addition to usual care, versus usual care alone. The primary outcome is total number of cardiovascular deaths and hospitalizations for heart failure. Outcomes are collected from Swedish administrative complete coverage registries and a US call centre and subsequently adjudicated. Simple eligibility criteria were based on data available in SwedeHF: heart failure as outpatient or at discharge from hospital, left ventricular ejection fraction ≥40%, N-terminal pro-B-type natriuretic peptide >300 ng/L (in sinus rhythm) or >750 ng/L (in atrial fibrillation), with pre-specified adjustment for elevated body mass index, and chronic loop diuretic use. Power and sample size assessments were based on an event-driven design allowing enrolment over approximately 6 years, and application of hazard ratios from the TOPCAT trial, Americas subset. The final sample size is expected to be approximately 2400 patients. CONCLUSION: SPIRRIT-HFpEF will be informative on the effectiveness of generic MRAs in HFpEF and HFmrEF, and on the feasibility of conducting pragmatic and registry-based trials in heart failure and other chronic conditions.

Apolipoprotein B: Bridging the Gap Between Evidence and Clinical Practice.

Despite data suggesting that apolipoprotein B (apoB) measurement outperforms low-density lipoprotein cholesterol level measurement in predicting atherosclerotic cardiovascular disease risk, apoB measurement has not become widely adopted into routine clinical practice. One barrier for use of apoB measurement is lack of consistent guidance for clinicians on how to interpret and apply apoB results in clinical context. Whereas guidelines have often provided clear low-density lipoprotein cholesterol targets or triggers to initiate treatment change, consistent targets for apoB are lacking. In this review, we synthesize existing data regarding the epidemiology of apoB by comparing guideline recommendations regarding use of apoB measurement, describing population percentiles of apoB relative to low-density lipoprotein cholesterol levels, summarizing studies of discordance between low-density lipoprotein cholesterol and apoB levels, and evaluating apoB levels in clinical trials of lipid-lowering therapy to guide potential treatment targets. We propose evidence-guided apoB thresholds for use in cholesterol management and clinical care.

Cerebral angiography in outpatient endovascular centers: roadmap and lessons learned from interventional radiology, cardiology, and vascular surgery.

A growing proportion of percutaneous procedures are performed in outpatient centers. The shift from hospitals to ambulatory surgery centers and office-based laboratories has been driven by a number of factors, including declining reimbursements, increased patient demand, and competition for hospital resources. This transition has been dominated by the interventional radiology, cardiology, and vascular surgery fields. Cerebral angiography, in contrast, is still performed almost exclusively in a hospital-based setting, despite sharing many features with other endovascular procedures commonly performed in outpatient centers. As interest grows in performing cerebral angiography in outpatient endovascular centers, much can be learned from the decades of experience that our interventional colleagues have in the outpatient setting. In this article we examine the outpatient experience of other interventional fields and apply key principles to evaluate the prospect of outpatient neurointervention. The literature suggests that cerebral angiography can feasibly be performed in an outpatient center in both private and academic settings, as some groups have begun to do. Outpatient endovascular centers have helped to improve the patient experience, liberate inpatient resources, and control costs in other interventional fields, and might offer neurointerventionalists an opportunity to do the same.

Achievement of LDL-C <55 mg/dL among US adults: Findings from the cvMOBIUS2 registry.

BACKGROUND: Reflecting clinical trial data showing improved outcomes with lower LDL-C levels, guidelines across the globe are increasingly recommending a goal of LDL-C <55 mg/dL in persons with atherosclerotic cardiovascular disease (ASCVD). What proportion of patients with ASCVD are already meeting those goals in the US remains understudied. METHODS: Using electronic health record data from 8 large US health systems, we evaluated lipid-lowering therapy (LLT), LDL-C levels, and factors associated with an LDL-C <55 mg/dL in persons with ASCVD treated between 1/1/2021-12/31/2021. Multivariable modeling was used to evaluate factors associated with achievement of an LDL-C <55 mg/dL. RESULTS: Among 167,899 eligible patients, 22.6% (38,016) had an LDL-C <55 mg/dL. While 76.1% of individuals overall were on a statin, only 38.2% were on a high-intensity statin, 5.9% were on ezetimibe, and 1.7% were on a PCSK9i monoclonal antibody (mAb). Factors associated with lower likelihood of achieving an LDL-C <55 mg/dL included: younger age (odds ratio [OR] 0.91 per 10y), female sex (OR 0.69), Black race (OR 0.76), and noncoronary artery disease forms of ASCVD including peripheral artery disease (OR 0.72) and cerebrovascular disease (OR 0.85), while high-intensity statin use was associated with increased odds of LDL-C <55 mg/dL (OR 1.55). Combination therapy (statin+ezetimibe or statin+PCSK9i mAb) was rare (4.4% and 0.5%, respectively) and was associated with higher odds of an LDL-C <55 mg/dL (OR 1.39 and 3.13, respectively). CONCLUSION: Less than a quarter of US patients with ASCVD in community practice are already achieving an LDL-C <55 mg/dL. Marked increases in utilization of both high intensity statins and combination therapy with non-statin therapy will be needed to achieve LDL-C levels <55 mg/dL at the population level in secondary prevention.

Prospective Spatiotemporal Cluster Detection Using SaTScan: Tutorial for Designing and Fine-Tuning a System to Detect Reportable Communicable Disease Outbreaks.

Staff at public health departments have few training materials to learn how to design and fine-tune systems to quickly detect acute, localized, community-acquired outbreaks of infectious diseases. Since 2014, the Bureau of Communicable Disease at the New York City Department of Health and Mental Hygiene has analyzed reportable communicable diseases daily using SaTScan. SaTScan is a free software that analyzes data using scan statistics, which can detect increasing disease activity without a priori specification of temporal period, geographic location, or size. The Bureau of Communicable Disease's systems have quickly detected outbreaks of salmonellosis, legionellosis, shigellosis, and COVID-19. This tutorial details system design considerations, including geographic and temporal data aggregation, study period length, inclusion criteria, whether to account for population size, network location file setup to account for natural boundaries, probability model (eg, space-time permutation), day-of-week effects, minimum and maximum spatial and temporal cluster sizes, secondary cluster reporting criteria, signaling criteria, and distinguishing new clusters versus ongoing clusters with additional events. We illustrate how to support health equity by minimizing analytic exclusions of patients with reportable diseases (eg, persons experiencing homelessness who are unsheltered) and accounting for purely spatial patterns, such as adjusting nonparametrically for areas with lower access to care and testing for reportable diseases. We describe how to fine-tune the system when the detected clusters are too large to be of interest or when signals of clusters are delayed, missed, too numerous, or false. We demonstrate low-code techniques for automating analyses and interpreting results through built-in features on the user interface (eg, patient line lists, temporal graphs, and dynamic maps), which became newly available with the July 2022 release of SaTScan version 10.1. This tutorial is the first comprehensive resource for health department staff to design and maintain a reportable communicable disease outbreak detection system using SaTScan to catalyze field investigations as well as develop intuition for interpreting results and fine-tuning the system. While our practical experience is limited to monitoring certain reportable diseases in a dense, urban area, we believe that most recommendations are generalizable to other jurisdictions in the United States and internationally. Additional analytic technical support for detecting outbreaks would benefit state, tribal, local, and territorial public health departments and the populations they serve.

Individual Variation in the Distribution of Apolipoprotein B Levels Across the Spectrum of LDL-C or Non-HDL-C Levels.

Importance: Although apolipoprotein B (apoB) is a superior marker of lipid-related risk compared with low-density lipoprotein cholesterol (LDL-C), few data exist to translate the goals and thresholds from LDL-C to their apoB equivalent. In addition, although current American College of Cardiology/American Heart Association guidelines provide a relative indication for apoB measurement among individuals with hypertriglyceridemia, whether discordance is limited to those subgroups is unknown. Objectives: To assess the variability in apoB level across the spectrum of LDL-C or non-high-density lipoprotein cholesterol (non-HDL-C) levels and evaluate whether discordance between apoB and LDL-C or non-HDL-C is limited to specifiable subgroups. Design, Setting, and Participants: This cross-sectional study used data from a nationally representative sample of 12 688 adult participants not using statins in the National Health and Nutrition Examination Survey between 2005 and 2016. Statistical analysis was performed from April 2023 to February 2024. Main Outcomes and Measures: Quantile regression was used to assess the population distribution of apoB across LDL-C or non-HDL-C levels. Discordance between apoB and LDL-C was the difference between measured apoB and median apoB levels for an individual's LDL-C level. Discordance was evaluated by age, sex, race and ethnicity, obesity, diabetes, triglyceride level, hemoglobin A1c level, body mass index (BMI), statin use, and metabolic health (defined as a BMI between 18.5 and 24.9, triglyceride level <150 mg/dL, and no diabetes). Results: Among the sample of 12 688 participants (median age, 41.0 years [IQR, 29.0-54.0 years]; 52.9% women) for LDL-C values of 55, 70, 100, and 190 mg/dL, the corresponding population median apoB levels were 49, 60, 80, and 140 mg/dL, respectively. For given levels of LDL-C, a range of apoB values was observed. At an LDL-C level of 100 mg/dL, the 95% population distribution of apoB ranged from 66 mg/dL to 99 mg/dL. ApoB variability was highest for LDL-C values estimated using the Friedewald equation, lower when using Sampson or Martin-Hopkins equations, and lowest for non-HDL-C. Although individuals with metabolic risk factors were more likely to have discordantly high apoB levels (ie, had higher median observed apoB levels relative to what was estimated based on LDL-C), significant variability in apoB levels was observed even among metabolically healthy individuals. Conclusions and Relevance: This study suggests that even metabolically healthy individuals may have discordantly high apoB levels relative to LDL-C or non-HDL-C levels. The current guideline approach for apoB testing only for those with hypertriglyceridemia appears too narrow. Population percentile data can be used to translate LDL-C goals and thresholds to their apoB equivalent to facilitate clinical adoption.

Use of Dietary Supplements Among People With Atherosclerotic Cardiovascular Disease in the United States: A Population-Based Analysis From NHANES.

BACKGROUND: Dietary supplement use is prevalent in the general US population, but little is known regarding the driving reasons for their use among those with atherosclerotic cardiovascular disease (ASCVD). METHODS AND RESULTS: Data from the National Health and Nutrition Examination Survey (NHANES) from 2017 to March 2020 were used to identify adults with ASCVD. Supplement use was assessed by interviewers using label review, and surveys captured self-reported reasons for use. Demographic, clinical, medication, and laboratory characteristics were compared between supplement users and nonusers. Among individuals with ASCVD in the National Health and Nutrition Examination Survey (n=965; mean age, 65 years; 56.1% men; 73.7% White individuals), 73.1% reported taking ≥1 dietary supplements, most commonly multivitamins (35.4%), vitamin D (30.8%), and fish oil (19.8%). Of those taking supplements, 47.3% report taking them under the advisement of a health professional. Nearly one fifth (17.9%) reported taking at least 1 supplement for "heart health," most commonly fish oil (11.1%), followed by CoQ10 (4.2%) and resveratrol (1.5%). Supplement users were older (68 versus 62 years; P=0.003), included more women (45.8% versus 37.7%; P=0.17), were less likely to smoke (11.0% versus 36.4%; P<0.001), had higher levels of education (P=0.005) and income (P<0.001), and higher use of statins (69.4% versus 55.8%; P=0.046). CONCLUSIONS: Supplement use is common in people with ASCVD. Among the top 3 supplements, a substantial minority were being taken under the direction of health professionals. Supplement users often report taking supplements "for heart health," despite a lack of randomized trial evidence for benefit in ASCVD, indicating a need for more patient and clinician education regarding health benefits of dietary supplements in ASCVD.

A critical assessment of using ChatGPT for extracting structured data from clinical notes.

Existing natural language processing (NLP) methods to convert free-text clinical notes into structured data often require problem-specific annotations and model training. This study aims to evaluate ChatGPT's capacity to extract information from free-text medical notes efficiently and comprehensively. We developed a large language model (LLM)-based workflow, utilizing systems engineering methodology and spiral "prompt engineering" process, leveraging OpenAI's API for batch querying ChatGPT. We evaluated the effectiveness of this method using a dataset of more than 1000 lung cancer pathology reports and a dataset of 191 pediatric osteosarcoma pathology reports, comparing the ChatGPT-3.5 (gpt-3.5-turbo-16k) outputs with expert-curated structured data. ChatGPT-3.5 demonstrated the ability to extract pathological classifications with an overall accuracy of 89%, in lung cancer dataset, outperforming the performance of two traditional NLP methods. The performance is influenced by the design of the instructive prompt. Our case analysis shows that most misclassifications were due to the lack of highly specialized pathology terminology, and erroneous interpretation of TNM staging rules. Reproducibility shows the relatively stable performance of ChatGPT-3.5 over time. In pediatric osteosarcoma dataset, ChatGPT-3.5 accurately classified both grades and margin status with accuracy of 98.6% and 100% respectively. Our study shows the feasibility of using ChatGPT to process large volumes of clinical notes for structured information extraction without requiring extensive task-specific human annotation and model training. The results underscore the potential role of LLMs in transforming unstructured healthcare data into structured formats, thereby supporting research and aiding clinical decision-making.

AZGP1 deficiency promotes angiogenesis in prostate cancer.

BACKGROUND: Loss of AZGP1 expression is a biomarker associated with progression to castration resistance, development of metastasis, and poor disease-specific survival in prostate cancer. However, high expression of AZGP1 cells in prostate cancer has been reported to increase proliferation and invasion. The exact role of AZGP1 in prostate cancer progression remains elusive. METHOD: AZGP1 knockout and overexpressing prostate cancer cells were generated using a lentiviral system. The effects of AZGP1 under- or over-expression in prostate cancer cells were evaluated by in vitro cell proliferation, migration, and invasion assays. Heterozygous AZGP1± mice were obtained from European Mouse Mutant Archive (EMMA), and prostate tissues from homozygous knockout male mice were collected at 2, 6 and 10 months for histological analysis. In vivo xenografts generated from AZGP1 under- or over-expressing prostate cancer cells were used to determine the role of AZGP1 in prostate cancer tumor growth, and subsequent proteomics analysis was conducted to elucidate the mechanisms of AZGP1 action in prostate cancer progression. AZGP1 expression and microvessel density were measured in human prostate cancer samples on a tissue microarray of 215 independent patient samples. RESULT: Neither the knockout nor overexpression of AZGP1 exhibited significant effects on prostate cancer cell proliferation, clonal growth, migration, or invasion in vitro. The prostates of AZGP1-/- mice initially appeared to have grossly normal morphology; however, we observed fibrosis in the periglandular stroma and higher blood vessel density in the mouse prostate by 6 months. In PC3 and DU145 mouse xenografts, over-expression of AZGP1 did not affect tumor growth. Instead, these tumors displayed decreased microvessel density compared to xenografts derived from PC3 and DU145 control cells, suggesting that AZGP1 functions to inhibit angiogenesis in prostate cancer. Proteomics profiling further indicated that, compared to control xenografts, AZGP1 overexpressing PC3 xenografts are enriched with angiogenesis pathway proteins, including YWHAZ, EPHA2, SERPINE1, and PDCD6, MMP9, GPX1, HSPB1, COL18A1, RNH1, and ANXA1. In vitro functional studies show that AZGP1 inhibits human umbilical vein endothelial cell proliferation, migration, tubular formation and branching. Additionally, tumor microarray analysis shows that AZGP1 expression is negatively correlated with blood vessel density in human prostate cancer tissues. CONCLUSION: AZGP1 is a negative regulator of angiogenesis, such that loss of AZGP1 promotes angiogenesis in prostate cancer. AZGP1 likely exerts heterotypical effects on cells in the tumor microenvironment, such as stromal and endothelial cells. This study sheds light on the anti-angiogenic characteristics of AZGP1 in the prostate and provides a rationale to target AZGP1 to inhibit prostate cancer progression.

Characteristics of High-Performing Hospitals in Cardiogenic Shock Following Acute Myocardial Infarction.

Cardiogenic shock after acute myocardial infarction (AMI-CS) carries significant mortality despite advances in revascularization and mechanical circulatory support. We sought to identify the process-based and structural characteristics of centers with lower mortality in AMI-CS. We analyzed 16,337 AMI-CS cases across 440 centers enrolled in the National Cardiovascular Data Registry's Chest Pain-MI Registry, a retrospective cohort database, between January 1, 2015, and December 31, 2018. Centers were stratified across tertiles of risk-adjusted in-hospital mortality rate (RAMR) for comparison. Risk-adjusted multivariable logistic regression was also performed to identify hospital-level characteristics associated with decreased mortality. The median participant age was 66 (interquartile range 57 to 75) years, and 33.0% (n = 5,390) were women. The median RAMR was 33.4% (interquartile range 26.0% to 40.0%) and ranged from 26.9% to 50.2% across tertiles. Even after risk adjustment, lower-RAMR centers saw patients with fewer co-morbidities. Lower-RAMR centers performed more revascularization (92.8% vs 90.6% vs 85.9%, p <0.001) and demonstrated better adherence to associated process measures. Left ventricular assist device capability (odds ratio [OR] 0.78 [0.67 to 0.92], p = 0.002), more frequent revascularization (OR 0.93 [0.88 to 0.98], p = 0.006), and higher AMI-CS volume (OR 0.95 [0.91 to 0.99], p = 0.009) were associated with lower in-hospital mortality. However, several such characteristics were not more frequently observed at low-RAMR centers, despite potentially reflecting greater institutional experience or resources. This may reflect the heterogeneity of AMI-CS even after risk adjustment. In conclusion, low-RAMR centers do not necessarily exhibit factors associated with decreased mortality in AMI-CS, which may reflect the challenges in performing outcomes research in this complex population.

US population qualifying for aspirin use for primary prevention of cardiovascular disease.

Objective: Aspirin has been used for primary prevention of atherosclerotic cardiovascular disease (ASCVD) for decades, but this indication has become controversial with recent trial data. The 2022 US Preventive Services Task Force (USPSTF) provided a recommendation to consider aspirin use for primary prevention in adults 40-59 years with a 10-year ASCVD risk ≥10 % and not at increased risk of bleeding, yet population estimates for the impact of this recommendation are unknown. The objective of this study is to determine the prevalence and demographics of the US population who meet eligibility criteria for aspirin under the new 2022 USPSTF guidelines. Methods: This is a serial cross-sectional study using data from the 2011-March 2020 National Health and Nutrition Examination Survey (NHANES) database. Individuals aged 40-59 years without a self-reported history of ASCVD were included. 10-year estimated ASCVD risk ≥10 % as calculated by the Pooled Cohort Equations (PCE) and increased bleeding risk determined using variables adapted from USPSTF guidelines were further applied as inclusion and exclusion criteria, respectively. The weighted frequencies of US adults aged 40-59 years qualifying for primary prevention aspirin, subgrouped by gender, age, and race/ethnicity, were calculated. Results: Among 72,840,734 US individuals aged 40-59 years, 7.2 million (10 %) are eligible for consideration of primary prevention aspirin by PCE criteria. Of these, approximately 30 % would be potentially excluded based on increased bleeding risks, resulting in a net eligible cohort of 5 million. This represents 7 % of US adults aged 40-59 years and only 2.6 % of adults ≥18 years. Men, age 50-59 years, and Black race have higher proportions meeting aspirin use eligibility. Conclusions: The overall prevalence of US individuals who qualify for aspirin for primary prevention under the 2022 USPSTF guidelines is modest, with larger proportional eligibility among men, older age, and Black individuals.

Uranium accumulation in environmentally relevant microplastics and agricultural soil at acidic and circumneutral pH.

The co-occurrence of microplastics (MPs) with potentially toxic metals in the environment stresses the need to address their physicochemical interactions and the potential ecological and human health implications. Here, we investigated the reaction of aqueous U with agricultural soil and high-density polyethylene (HDPE) through the integration of batch experiments, microscopy, and spectroscopy. The aqueous initial concentration of U (100 µM) decreased between 98.6 and 99.2 % at pH 5 and between 86.2 and 98.9 % at pH 7.5 following the first half hour of reaction with 10 g of soil. In similar experimental conditions but with added HDPE, aqueous U decreased between 98.6 and 99.7 % at pH 5 and between 76.1 and 95.2 % at pH 7.5, suggesting that HDPE modified the accumulation of U in soil as a function of pH. Uranium-bearing precipitates on the cracked surface of HDPE were identified by SEM/EDS after two weeks of agitation in water at both pH 5 and 7.5. Accumulation of U on the near-surface region of reacted HDPE was confirmed by XPS. Our findings suggest that the precipitation of U was facilitated by the weathering of the surface of HDPE. These results provide insights about surface-mediated reactions of aqueous metals with MPs, contributing relevant information about the mobility of metals and MPs at co-contaminated agricultural sites.

Simultaneous Multipass Resistive-Pulse Sensing and Fluorescence Imaging of Liposomes.

Simultaneous multipass resistive-pulse sensing and fluorescence imaging have been used to correlate the size and fluorescence intensity of individual E. coli lipid liposomes composed of E. coli polar lipid extracts labeled with membrane-bound 3,3-dioctadecyloxacarbocyanine (DiO) fluorescent molecules. Here, a nanopipet serves as a waveguide to direct excitation light to the resistive-pulse sensing zone at the end of the nanopipet tip. Individual DiO-labeled liposomes (>50 nm radius) were multipassed back and forth through the orifices of glass nanopipets' 110-150 nm radius via potential switching to obtain subnanometer sizing precision, while recording the fluorescence intensity of the membrane-bound DiO molecules. Fluorescence was measured as a function of liposome radius and found to be approximately proportional to the total membrane surface area. The observed relationship between liposome size and fluorescence intensity suggests that multivesicle liposomes emit greater fluorescence compared to unilamellar liposomes, consistent with all lipid membranes of the multivesicle liposomes containing DiO. Fluorescent and nonfluorescent liposomes are readily distinguished from each other in the same solution using simultaneous multipass resistive-pulse sensing and fluorescence imaging. A fluorescence "dead zone" of ∼1 µm thickness just outside of the nanopipet orifice was observed during resistive-pulse sensing, resulting in "on/off" fluorescent behavior during liposome multipassing.

National Variation in Hospital MTEER Outcomes and Correlation With TAVR Outcomes: STS/ACC TVT Registry Analysis.

BACKGROUND: A single, multitiered valve center designation has been proposed to publicly identify centers with expertise for all valve therapies. The correlation between transcatheter aortic valve replacement (TAVR) and mitral transcatheter edge-to-edge repair (MTEER) procedures is unknown. OBJECTIVES: The authors sought to examine the relationship between site-level volumes and outcomes for TAVR and MTEER. We further explored variability between sites for MTEER outcomes. METHODS: Using the STS/ACC TVT (Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy) national registry, TAVR and MTEER procedures at sites offering both therapies from 2013 to 2022 were examined. Sites were ranked into deciles of adjusted in-hospital and 30-day outcomes separately for TAVR and MTEER and compared. Stepwise, hierarchical multivariable models were constructed for MTEER outcomes, and the median OR was calculated. RESULTS: Between 2013 and 2022, 384,394 TAVRs and 53,274 MTEERs (median annualized volumes: 93.6 and 18.8, respectively) were performed across 453 U.S. sites. Annualized TAVR and MTEER volumes were moderately correlated (r = 0.48; P < 0.001). After adjustment, 14.3% of sites had the same decile rank for TAVR and MTEER 30-day composite outcome, 50.6% were within 2 decile ranks; 35% had more discordant outcomes for the 2 procedures (P = 0.0005). For MTEER procedures, the median OR for the 30-day composite outcome was 1.57 (95% CI: 1.51-1.64), indicating a 57% variability in outcome by site. CONCLUSIONS: There is modest correlation between hospital-level volumes for TAVR and MTEER but low interprocedural correlation of outcomes. For similar patients, site-level variability for mortality/morbidity following MTEER was high. Factors influencing outcomes and "centers of excellence" as a whole may differ for TAVR and MTEER.

Sustainable production of lipids from cocoa fatty acid distillate fermentation driven by adaptive evolution in Yarrowia lipolytica.

Single cell oil production using oleaginous yeasts is a promising alternative to animal and plant-derived lipids. But substrate costs for microbial fermentation are a major bottleneck. Using side streams as alternative to substrates like glucose, for growing yeast, is a potential cost-effective solution. By combining a previously reported process of growing yeasts on a solid cocoa fatty acid distillate side stream with adaptive evolution techniques, the growth of oleaginous yeast Yarrowia lipolytica was improved by 2-fold. The lipid titre was also boosted by more than 3-fold. Using transcriptomics, key genes were identified that are possibly involved in tailoring of lipid composition, side stream utilisation and enhancement of lipid titres. Candidate genes were also identified that might enable efficient growth and utilization of fatty acids and triacylglycerides found in cocoa fatty acid distillate. In summary, this research has improved the understanding of side stream utilisation for lipid production in oleaginous yeast.