Simple aneuploidy evades p53 surveillance and promotes niche factor-independent growth in human intestinal organoids.

Aneuploidy is nearly ubiquitous in tumor genomes, but the role of aneuploidy in the early stages of cancer evolution remains unclear. Here, by inducing heterogeneous aneuploidy in non-transformed human colon organoids (colonoids), we investigated how the effects of aneuploidy on cell growth and differentiation may promote malignant transformation. Previous work implicated p53 activation as a downstream response to aneuploidy induction. We found that simple aneuploidy, characterized by 1-3 gained or lost chromosomes, resulted in little or modest p53 activation and cell cycle arrest when compared with more complex aneuploid cells. Single-cell RNA sequencing analysis revealed that the degree of p53 activation was strongly correlated with karyotype complexity. Single-cell tracking showed that cells could continue to divide despite the observation of one to a few lagging chromosomes. Unexpectedly, colonoids with simple aneuploidy exhibited impaired differentiation after niche factor withdrawal. These findings demonstrate that simple aneuploid cells can escape p53 surveillance and may contribute to niche factor-independent growth of cancer-initiating colon stem cells. [Media: see text].

Study protocol: Collaboration Oriented Approach to Controlling High blood pressure (COACH) in adults - a randomised controlled trial.

INTRODUCTION: Hypertension, the clinical condition of persistent high blood pressure (BP), is preventable yet remains a significant contributor to poor cardiovascular outcomes. Digital self-management support tools can increase patient self-care behaviours to improve BP. We created a patient-facing and provider-facing clinical decision support (CDS) application, called the Collaboration Oriented Approach to Controlling High BP (COACH), to integrate home BP data, guideline recommendations and patient-centred goals with primary care workflows. We leverage social cognitive theory principles to support enhanced engagement, shared decision-making and self-management support. This study aims to measure the effectiveness of the COACH intervention and evaluate its adoption as part of BP management. METHODS AND ANALYSIS: The study design is a multisite, two-arm hybrid type III implementation randomised controlled trial set within primary care practices across three health systems. Randomised participants are adults with high BP for whom home BP monitoring is indicated. The intervention arm will receive COACH, a digital web-based intervention with effectively enhanced alerts and displays intended to drive engagement with BP lowering; the control arm will receive COACH without the alerts and a simple display. Outcome measures include BP lowering (primary) and self-efficacy (secondary). Implementation preplanning and postevaluation use the Consolidated Framework for Implementation Research and Reach-Effectiveness-Adoption-Implementation-Maintenance metrics with iterative cycles for qualitative integration into the trial and its quantitative evaluation. The trial analysis includes logistic regression and constrained longitudinal data analysis. ETHICS AND DISSEMINATION: The trial is approved under a single IRB through the University of Missouri-Columbia, #2091483. Dissemination of the intervention specifications and results will be through open-source mechanisms. TRIAL REGISTRATION NUMBER: NCT06124716.

Imbalanced spectral data analysis using data augmentation based on the generative adversarial network.

Spectroscopic techniques generate one-dimensional spectra with distinct peaks and specific widths in the frequency domain. These features act as unique identities for material characteristics. Deep neural networks (DNNs) has recently been considered a powerful tool for automatically categorizing experimental spectra data by supervised classification to evaluate material characteristics. However, most existing work assumes balanced spectral data among various classes in the training data, contrary to actual experiments, where the spectral data is usually imbalanced. The imbalanced training data deteriorates the supervised classification performance, hindering understanding of the phase behavior, specifically, sol-gel transition (gelation) of soft materials and glycomaterials. To address this issue, this paper applies a novel data augmentation method based on a generative adversarial network (GAN) proposed by the authors in their prior work. To demonstrate the effectiveness of the proposed method, the actual imbalanced spectral data from Pluronic F-127 hydrogel and Alpha-Cyclodextrin hydrogel are used to classify the phases of data. Specifically, our approach improves 8.8%, 6.4%, and 6.2% of the performance of the existing data augmentation methods regarding the classifier's F-score, Precision, and Recall on average, respectively. Specifically, our method consists of three DNNs: the generator, discriminator, and classifier. The method generates samples that are not only authentic but emphasize the differentiation between material characteristics to provide balanced training data, improving the classification results. Based on these validated results, we expect the method's broader applications in addressing imbalanced measurement data across diverse domains in materials science and chemical engineering.

Herpes simplex virus spreads rapidly in human foreskin, partly driven by chemokine-induced redistribution of Nectin-1 on keratinocytes.

HSV infects keratinocytes in the epidermis of skin via nectin-1. We established a human foreskin explant infection model to investigate HSV entry and spread. HSV1 entry could only be achieved by the topical application of virus via high density microarray projections (HD-MAPs) to the epidermis, which penetrated beyond one third of its thickness, simulating in vivo microtrauma. Rapid lateral spread of HSV1 to a mean of 13 keratinocytes wide occurred after 24 hours and free virus particles were observed between keratinocytes, consistent with an intercellular route of spread. Nectin-1 staining was markedly decreased in foci of infection in the epidermis and in the human keratinocyte HaCaT cell line. Nectin-1 was redistributed, at the protein level, in adjacent uninfected cells surrounding infection, inducible by CCL3, IL-8 (or CXCL8), and possibly CXCL10 and IL-6, thus facilitating spread. These findings provide the first insights into HSV1 entry and spread in human inner foreskin in situ.

Developing Confidence Engaging in Diversity, Equity, Inclusion and Social Determinants of Health Topics Through Self-Authorship.

OBJECTIVE: This study used a self-authorship framework to explore if diversity, equity, and inclusion (DEI) and social determinants of health (SDoH)-focused labs and learning activities increase student confidence in understanding aspects of implicit bias (IB) and SDoH and how these activities impact student comfort discussing and confidence initiating conversations on DEI/SDoH topics with colleagues, faculty, supervisors, and patients. METHODS: First year (P1) PharmD students engaged in three learning activities across two courses. Students were challenged to evaluate their biases and incorporate DEI/SDoH into their professional identity formation (PIF). This study utilized a mixed-method, embedded approach to analyze assessment data collected via a questionnaire and assignments administered at three points during the fall semester. Quantitative analysis used a quasi-experimental, between-subjects, pretest-posttest design. The qualitative component used open-ended questions to gain additional insight into participant experiences, gathered detail on perceptions, and provided context. RESULTS: A one-way ANOVA showed statistically significant increases between assessment points for all items related to confidence understanding IB and SDoH. Comfort discussing DEI/SDoH topics with supervisors/faculty and patients increased over time. Comfort discussing DEI/SDoH topics with colleagues did not increase. Three salient themes emerged from qualitative analyses (bias and privilege awareness, education, and professionalism). CONCLUSION: This study found students started evaluating their own knowledge, beliefs, and claims in social and professional settings as defined by the self-authorship framework. Student comfort and confidence discussing DEI/SDoH topics increased over time. Findings support engaging students in multimodal programming may support incorporation of DEI/SDoH into PIF.

Adoption of an Enhanced Recovery After Surgery Protocol Increases Cost of Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy and Does not Improve Outcomes.

BACKGROUND: Enhanced recovery after surgery (ERAS) protocols have been shown to reduce length of stay (LOS) and complications. The impact of ERAS protocols on the cost of cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) has not been studied. PATIENTS AND METHODS: We performed a retrospective cohort analysis of patients undergoing CRS-HIPEC from 2016-2022 at a single quaternary center. Propensity score matching was used to create pre-and post-ERAS cohorts. Cost, overall and serious complications, and intensive care unit (ICU) length of stay (LOS) between the two cohorts were compared using the Mann-Whitney U-test for continuous variables and χ2 test for categorical variables. RESULTS: Our final matched cohort consisted of 100 patients, with 50 patients in both the pre- and post-ERAS groups. After adjusting for patient complexity and inflation, the median total cost [$75,932 ($67,166-102,645) versus $92,992 ($80,720-116,710), p = 0.02] and operating room cost [$26,817 ($23,378-33,121) versus $34,434 ($28,085-$41,379), p < 0.001] were significantly higher in the post-ERAS cohort. Overall morbidity (n = 22, 44% versus n = 17, 34%, p = 0.40) and ICU length of stay [2 days (IQR 1-3) versus 2 days (IQR 1-4), p = 0.70] were similar between the two cohorts. A total cost increase of $22,393 [SE $13,047, 95% CI (-$3178 to $47,965), p = 0.086] was estimated after implementation of ERAS, with operating room cost significantly contributing to this increase [$8419, SE $1628, 95% CI ($5228-11,609), p < 0.001]. CONCLUSIONS: CRS-HIPEC ERAS protocols were associated with higher total costs due to increased operating room costs at a single institution. There was no significant difference in ICU LOS and complications after the implementation of the ERAS protocol.

Synthesis and real-time characterization of self-healing, injectable, fast-gelling hydrogels based on alginate multi-reducing end polysaccharides (MREPs).

Polysaccharide-based hydrogels are promising for many biomedical applications including drug delivery, wound healing, and tissue engineering. We illustrate herein self-healing, injectable, fast-gelling hydrogels prepared from multi-reducing end polysaccharides, recently introduced by the Edgar group. Simple condensation of reducing ends from multi-reducing end alginate (M-Alg) with amines from polyethylene imine (PEI) in water affords a dynamic, hydrophilic polysaccharide network. Trace amounts of acetic acid can accelerate the gelation time from hours to seconds. The fast-gelation behavior is driven by rapid Schiff base formation and strong ionic interactions induced by acetic acid. A cantilever rheometer enables real-time monitoring of changes in viscoelastic properties during hydrogel formation. The reversible nature of these crosslinks (imine bonds, ionic interactions) provides a hydrogel with low toxicity in cell studies as well as self-healing and injectable properties. Therefore, the self-healing, injectable, and fast-gelling M-Alg/PEI hydrogel holds substantial promise for biomedical, agricultural, controlled release, and other applications.

Effectiveness of team-focused CPR on in-hospital CPR quality and outcomes.

Objective: We sought to identify changes in neurological outcome over time following initial training and subsequent implementation of team-focused CPR in an inpatient setting where responders practice specific roles with emphasis on minimally interrupted chest compressions and early defibrillation. Methods: This retrospective pre- vs post-intervention study was conducted at an urban 900-bed teaching hospital and Level I Cardiac Resuscitation Center. We included adult patients suffering in-hospital cardiac arrest occurring in non-emergency department and non-intensive care unit areas who received CPR and/or defibrillation. We compared survival with good neurological outcome at time of hospital discharge in the one-year periods before and after implementation of team-focused CPR. To investigate skill degradation, we compared cumulative survival with good neurological outcome in 3-month intervals against the before team-focused CPR baseline. Trained research associates abstracted explicitly defined variables from electronic health records using a standardized form and data dictionary to achieve consistency between collaborators. Results: Of 296 IHCAs, 207 patients met inclusion criteria and were analyzed. In 104 patients before team-focused CPR initiation, survival with good neurological outcome was 21%. In the 12-month period following team-focused CPR initiation, survival with good neurological outcome was 31% in 101 patients, risk difference 9.9% (95% CI -2 to 22%; p = 0.14). By quarterly time intervals, following team-focused CPR implementation, the cumulative survival with good neurological outcome at 3 months was 42%; at 6 months 37%; at 9 months 31%; and at 12 months 31%. Conclusion: In our single-institution implementation of team-focused CPR for in-hospital cardiac arrest, outcomes significantly improved at 6 months before declining towards baseline.

Examining the Potential of Pharmacies to Expand Pre-Exposure Prophylaxis Access Along Georgia's Fixed-Route Public Transit: A Geospatial Analysis.

BACKGROUND: Despite accounting for more than half of new Human Immunodeficiency Virus diagnoses in the United States, the South has fewer than 30% of all pre-exposure prophylaxis users. Pre-exposure prophylaxis access geospatial analyses have focused on drive time but analyses along public transit routes have not been evaluated. Given the proximity to pharmacists and pharmacies, involvement in pre-exposure prophylaxis services may increase access and uptake of this preventative health need. OBJECTIVE: The objectives were to compare the rate of pre-exposure prophylaxis uptake between Georgia counties with and without public transit, to assess the geospatial accessibility of services along public transit, and to evaluate the potential impact of expanding pre-exposure prophylaxis services to community pharmacies. METHODS: Pre-exposure prophylaxis uptake rates between counties with and without public transit were compared using the Mann-Whitney U test. Geospatial analysis was performed using ArcGIS Pro and Geoda. The Pearson correlation coefficient was used to determine the relationship between pre-exposure prophylaxis uptake rates and population and county characteristics. Spatial analysis was completed to uncover predictors for pre-exposure prophylaxis uptake rates. Increased access to pre-exposure prophylaxis along public transit was calculated by reporting the number of counties that would experience at least a 50% increase in pre-exposure prophylaxis access through community pharmacies. RESULTS: Pre-exposure prophylaxis uptake is significantly higher in Georgia counties with versus without public transit (P < 0.001). Pre-exposure prophylaxis rate is positively correlated with the accessibility of community pharmacies and pre-exposure prophylaxis clinics along fixed-route public transit (R2 = 0.524). Among pre-exposure prophylaxis clinics, 44% are inaccessible by public transit alone. Community pharmacies are significantly more widely distributed and accessible along public transit routes than pre-exposure prophylaxis clinics. CONCLUSION: Transportation remains a barrier to accessing pre-exposure prophylaxis. Georgia community pharmacies along public transit may serve as a solution to pre-exposure prophylaxis care access barriers.

Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement tracking and magnetoencephalography.

Introduction: Articulography and functional neuroimaging are two major tools for studying the neurobiology of speech production. Until now, however, it has generally not been feasible to use both in the same experimental setup because of technical incompatibilities between the two methodologies. Methods: Here we describe results from a novel articulography system dubbed Magneto-articulography for the Assessment of Speech Kinematics (MASK), which is technically compatible with magnetoencephalography (MEG) brain scanning systems. In the present paper we describe our methodological and analytic approach for extracting brain motor activities related to key kinematic and coordination event parameters derived from time-registered MASK tracking measurements. Data were collected from 10 healthy adults with tracking coils on the tongue, lips, and jaw. Analyses targeted the gestural landmarks of reiterated utterances/ipa/ and /api/, produced at normal and faster rates. Results: The results show that (1) Speech sensorimotor cortex can be reliably located in peri-rolandic regions of the left hemisphere; (2) mu (8-12 Hz) and beta band (13-30 Hz) neuromotor oscillations are present in the speech signals and contain information structures that are independent of those present in higher-frequency bands; and (3) hypotheses concerning the information content of speech motor rhythms can be systematically evaluated with multivariate pattern analytic techniques. Discussion: These results show that MASK provides the capability, for deriving subject-specific articulatory parameters, based on well-established and robust motor control parameters, in the same experimental setup as the MEG brain recordings and in temporal and spatial co-register with the brain data. The analytic approach described here provides new capabilities for testing hypotheses concerning the types of kinematic information that are encoded and processed within specific components of the speech neuromotor system.

Disruption of epithelium integrity by inflammation-associated fibroblasts through prostaglandin signaling.

Inflammation-associated fibroblasts (IAFs) are associated with progression and drug resistance of chronic inflammatory diseases such as inflammatory bowel disease (IBD), but their direct impact on epithelial cells is unknown. Here, we developed an in vitro model whereby human colon fibroblasts are induced by specific cytokines and recapitulate key features of IAFs in vivo. When cocultured with patient-derived colon organoids (colonoids), IAFs induced rapid colonoid expansion and barrier disruption due to swelling and rupture of individual epithelial cells. Colonoids cocultured with IAFs also show increased DNA damage, mitotic errors, and proliferation arrest. These IAF-induced epithelial defects are mediated by a paracrine pathway involving prostaglandin E2 and its receptor EP4, leading to protein kinase A -dependent activation of the cystic fibrosis transmembrane conductance regulator. EP4-specific chemical inhibitors effectively prevented IAF-induced colonoid swelling and restored normal proliferation and genome stability. These findings reveal a mechanism by which IAFs could promote and perpetuate IBD and suggest a therapeutic avenue to mitigate inflammation-associated epithelial injury.

Collaborative drug therapy modification (CDTM): Facilitators, barriers, and perceptions of individual pharmacist participation in Georgia.

BACKGROUND: Georgia Board of Pharmacy (BOP) regulations permit pharmacists to engage in collaborative drug therapy modification (CDTM) with physicians, allowing them to perform patient assessments, adjust pharmacotherapy, and order laboratory tests. Pharmacist-led CDTM can positively affect health outcomes leading to reduced healthcare expenditures. CDTM is underutilized, with < 1% of Georgia pharmacists holding an active license to practice CDTM. OBJECTIVE(S): The objective of this study was to examine CDTM licensed pharmacists' perceptions of facilitators and barriers in providing CDTM. METHODS: Georgia-licensed CDTM pharmacists were invited to participate in a 60-minute qualitative interview. Interview questions were developed from electronic survey responses. The interview was designed to elicit information regarding perceived benefits and barriers to CDTM implementation. Guided by the Consolidated Framework for Implementation Research, thematic analysis was applied to identify themes using ATLAS.ti software to code. Themes were described qualitatively and prevalence of each was reported. RESULTS: Nine interviews were conducted, and data saturation was achieved at interview 6. After resolution of discrepancies, 100% coding agreement was reached among 2 independent researchers. Nine themes were identified, and each was categorized as a facilitator or barrier to establishing pharmacist-led CDTM in Georgia. Themes associated with facilitating were (prevalence %) (1) practice autonomy (100), (2) personal attributes (100), (3) having support (100), and (4) institutional logistics (88). Barrier themes included issues concerning (5) the Georgia BOP (100), (6) pharmacist autonomy (88), (7) lack of provider status (88), (8) institutional restrictions (75), and (9) personal development (e.g., confidence) (22). CONCLUSION: Facilitators to the establishment of pharmacist-led CDTM exist and pharmacists can capitalize on these to create successful CDTM programs. Barriers are varied, and it may be difficult to systematically address individual barriers such as pharmacist autonomy and personal development. Barriers associated with institutional restrictions, the Georgia BOP, and lack of provider status can likely be removed or addressed by policy.

Improving biosensor accuracy and speed using dynamic signal change and theory-guided deep learning.

False results and time delay are longstanding challenges in biosensing. While classification models and deep learning may provide new opportunities for improving biosensor performance, such as measurement confidence and speed, it remains a challenge to ensure that predictions are explainable and consistent with domain knowledge. Here, we show that consistency of deep learning classification model predictions with domain knowledge in biosensing can be achieved by cost function supervision and enables rapid and accurate biosensing using the biosensor dynamic response. The impact and utility of the methodology were validated by rapid and accurate quantification of microRNA (let-7a) across the nanomolar (nM) to femtomolar (fM) concentration range using the dynamic response of cantilever biosensors. Data augmentation and cost function supervision based on the consistency of model predictions and experimental observations with the theory of surface-based biosensors improved the F1 score, precision, and recall of a recurrent neural network (RNN) classifier by an average of 13.8%. The theory-guided RNN (TGRNN) classifier enabled quantification of target analyte concentration and false results with an average prediction accuracy, precision, and recall of 98.5% using the initial transient or entire dynamic response, which is indicative of high prediction accuracy and low probability of false-negative and false-positive results. Classification scores were used to establish new relationships among biosensor performance characteristics (e.g., measurement confidence) and design parameters (e.g., inputs and hyperparameters of classification models and data acquisition parameters) that may be used for characterizing biosensor performance.

Survey of Georgia community pharmacists' needs to engage in advanced community pharmacy services.

BACKGROUND: Community pharmacists improve health, reduce fragmentation in care, lower health costs, and improve health outcomes. In Georgia, pharmacists are able to enter collaborative drug therapy management protocols, such as hypertension management, with a collaborating physician, which may allow pharmacists to provide advanced community pharmacy services (ACPS), however few Georgia pharmacists have this licensure. No program(s) exist that empower pharmacists to successfully engage in ACPS across the state of Georgia nor trains pharmacists to successfully engage in collaborative practice. OBJECTIVE: The goal of this project was to explore community pharmacists' perception, confidence, and engagement in ACPS and how this can improve access to care in Georgia. METHODS: Six hundred one independent community pharmacists were sent an electronic survey May 13, 2022, with weekly email reminders through June 17, 2022. Results were analyzed with the independent sample t test. Thematic analysis was completed on open response survey questions. RESULTS: Ninety responses were received (15% response rate). In the majority of survey outcomes, no differences were found in needs for success between rural versus urban pharmacists. Pharmacies with a smaller technician-to-pharmacists ≤2 (staffing) ratios identified billing for services as a higher priority need for success for them to confidently engage in ACPS (P = 0.012) while pharmacies with a higher technician-to-pharmacists >2 (staffing) ratio agreed a larger need was in optimization of current workflow to allow for advanced community pharmacy service incorporation (P = 0.034). All community pharmacists agreed they would require expansion in staffing and the qualities desired for additional hires to support ACPS include ambition, proficiency, and communication skills. CONCLUSION: Numerous needs for success exist for community pharmacists to feel comfortable and confident to engage in ACPS. Addressing these needs may increase community pharmacist impact through increasing utilization of these services.

Reduction of Biosensor False Responses and Time Delay Using Dynamic Response and Theory-Guided Machine Learning.

Here, we provide a new methodology for reducing false results and time delay of biosensors, which are barriers to industrial, healthcare, military, and consumer applications. We show that integrating machine learning with domain knowledge in biosensing can complement and improve the biosensor accuracy and speed relative to the performance achieved by traditional regression analysis of a standard curve based on the biosensor steady-state response. The methodology was validated by rapid and accurate quantification of microRNA across the nanomolar to femtomolar range using the dynamic response of cantilever biosensors. Theory-guided feature engineering improved the performance and efficiency of several classification models relative to the performance achieved using traditional feature engineering methods (TSFRESH). In addition to the entire dynamic response, the technique enabled rapid and accurate quantification of the target analyte concentration and false-positive and false-negative results using the initial transient response, thereby reducing the required data acquisition time (i.e., time delay). We show that model explainability can be achieved by combining theory-guided feature engineering and feature importance analysis. The performance of multiple classifiers using both TSFRESH- and theory-based features from the biosensor's initial transient response was similar to that achieved using the entire dynamic response with data augmentation. We also show that the methodology can guide design of experiments for high-performance biosensing applications, specifically, the selection of data acquisition parameters (e.g., time) based on potential application-dependent performance thresholds. This work provides an example of the opportunities for improving biosensor performance, such as reducing biosensor false results and time delay, using explainable machine learning models supervised by domain knowledge in biosensing.

Differential effects of aneuploidy on growth and differentiation in human intestinal stem cells.

Aneuploidy, a near ubiquitous genetic feature of tumors, is a context-dependent driver of cancer evolution; however, the mechanistic basis of this role remains unclear. Here, by inducing heterogeneous aneuploidy in non-transformed human colon organoids (colonoids), we investigate how the effects of aneuploidy on cell growth and differentiation may promote malignant transformation. Single-cell RNA sequencing reveals that the gene expression signature across over 100 unique aneuploid karyotypes is enriched with p53 responsive genes. The primary driver of p53 activation is karyotype complexity. Complex aneuploid cells with multiple unbalanced chromosomes activate p53 and undergo G1 cell-cycle arrest, independent of DNA damage and without evidence of senescence. By contrast, simple aneuploid cells with 1-3 chromosomes gained or lost continue to proliferate, demonstrated by single cell tracking in colonoids. Notably, simple aneuploid cells exhibit impaired differentiation when niche factors are withdrawn. These findings suggest that while complex aneuploid cells are eliminated from the normal epithelium due to p53 activation, simple aneuploid cells can escape this checkpoint and may contribute to niche factor-independent growth of cancer-initiating cells.

Accelerated Engineering of Optimized Functional Composite Hydrogels via High-Throughput Experimentation.

The Materials Genome Initiative (MGI) seeks to accelerate the discovery and engineering of advanced materials via high-throughput experimentation (HTE), which is a challenging task, given the common trade-off between design for optimal processability vs performance. Here, we report a HTE method based on automated formulation, synthesis, and multiproperty characterization of bulk soft materials in well plate formats that enables accelerated engineering of functional composite hydrogels with optimized properties for processability and performance. The method facilitates rapid high-throughput screening of hydrogel composition-property relations for multiple properties in well plate formats. The feasibility and utility of the method were demonstrated by application to several functional composite hydrogel systems, including alginate/poly(N-isopropylacrylamide) (PNIPAM) and poly(ethylene glycol) dimethacrylate (PEGDMA)/poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT:PSS) hydrogels. The HTE method was leveraged to identify formulations of conductive PEGDMA/PEDOT:PSS composite hydrogels for optimized performance and processability in three-dimensional (3D) printing. This work provides an advance in experimental methods based on automated dispensing, mixing, and sensing for the accelerated engineering of soft functional materials.

Disruption of Epithelium Integrity by Inflammation-Associated Fibroblasts through Prostaglandin Signaling: IAFs disrupt colon epithelium via PGE2-EP4.

Inflammation-associated fibroblasts (IAFs) are associated with the progression and drug resistance of chronic inflammatory diseases such as inflammatory bowel disease (IBD), but their direct impact on epithelial function and architecture is unknown. In this study, we developed an in vitro model whereby human colon fibroblasts are induced to become IAFs by specific cytokines and recapitulate key features of IAFs in vivo. When co-cultured with patient-derived colon organoids (colonoids), IAFs induced rapid colonoid swelling and barrier disruption due to swelling and rupture of individual epithelial cells. Epithelial cells co-cultured with IAFs also exhibit increased DNA damage, mitotic errors, and proliferation arrest. These IAF-induced epithelial defects are mediated through a paracrine pathway involving prostaglandin E2 (PGE2) and the PGE2 receptor EP4, leading to PKA-dependent activation of the CFTR chloride channel. Importantly, EP4-specific chemical inhibitors effectively prevented colonoid swelling and restored normal proliferation and genome stability of IAF-exposed epithelial cells. These findings reveal a mechanism by which IAFs could promote and perpetuate IBD and suggest a potential treatment to mitigate inflammation-associated epithelial injury.

Georgia community pharmacies and clinics: An evaluation of health outcomes and care access.

BACKGROUND: Care access remains a major social determinant of health. Safety net clinics may not be numerically sufficient to meet the health care demand for vulnerable populations. Community pharmacists remain a trusted health care provider and serve as first-line care access points. To date, Georgia care access points by safety net clinics and community pharmacies have not been compared. OBJECTIVES: This study sought to evaluate care access across Georgia. County health outcomes and health factor rankings were compared with mortality prevalence of respiratory disease, diabetes mellitus, kidney disease, and a composite of ambulatory care sensitive conditions emergency department (ER) utilization and hospital discharge. In addition, this study sought to determine whether care access points improve if community pharmacies were to provide primary care services. DESIGN AND OUTCOME MEASURES: Geographic information systems mapping was used to locate safety net clinics and community pharmacies. Care access difference was analyzed using a 2-sample t test and health outcomes and rankings were evaluated using ordinary least square regression analysis. RESULTS: A significant difference in care access points was found between safety net clinics and community pharmacies across the state of Georgia (P < 0.05). Mortality prevalence for respiratory disease (P < 0.01), diabetes mellitus (P < 0.1), kidney disease (P < 0.05), ER utilization (P < 0.01), and hospital discharge (P < 0.01) was lower in counties in the top 50% than the bottom 50% health outcome ranking and health factor ranking. Approximately 95% of counties (n = 151) would experience more than a 50% increase in primary care access points by way of community pharmacies. CONCLUSION: Community pharmacies are well positioned to address primary care disease states, reduce health care resource strain, and decrease preventable health care resource utilization. Leveraging pharmacists to provide primary care services can address care access issues and may improve care quality and reduce preventable hospitalizations and ER utilization in Georgia.