The Xenobiotic Transporter Mdr1 Enforces T Cell Homeostasis in the Presence of Intestinal Bile Acids.

CD4+ T cells are tightly regulated by microbiota in the intestine, but whether intestinal T cells interface with host-derived metabolites is less clear. Here, we show that CD4+ T effector (Teff) cells upregulated the xenobiotic transporter, Mdr1, in the ileum to maintain homeostasis in the presence of bile acids. Whereas wild-type Teff cells upregulated Mdr1 in the ileum, those lacking Mdr1 displayed mucosal dysfunction and induced Crohn's disease-like ileitis following transfer into Rag1-/- hosts. Mdr1 mitigated oxidative stress and enforced homeostasis in Teff cells exposed to conjugated bile acids (CBAs), a class of liver-derived emulsifying agents that actively circulate through the ileal mucosa. Blocking ileal CBA reabsorption in transferred Rag1-/- mice restored Mdr1-deficient Teff cell homeostasis and attenuated ileitis. Further, a subset of ileal Crohn's disease patients displayed MDR1 loss of function. Together, these results suggest that coordinated interaction between mucosal Teff cells and CBAs in the ileum regulate intestinal immune homeostasis.

Surgical site infection prevention bundle in gynecology oncology surgery: a key element in the implementation of an enhanced recovery after surgery (ERAS) program.

Surgical site infection rates are among 5-35% in all gynecologic oncology procedures. Such infections lead to increased patient morbidity, reduction in quality of life, higher likelihood of readmissions, and reinterventions, which contribute directly to mortality and increase in health-related costs. Some of these are potentially preventable by applying evidence-based strategies in the peri-operative patient setting. The objective of this review is to provide recommendations for the individual components that most commonly comprise the surgical site infection prevention bundles that could be implemented in gynecologic oncology procedures. We searched articles from relevant publications with specific topics related to each surgical site infection intervention chosen to be reviewed. Studies on each topic were selected with an emphasis on meta-analyses, systematic reviews, randomized control studies, non-randomized controlled studies, reviews, clinical practice guidelines, and case series. Data synthesis was done through content and thematic analysis to identify key themes in the included studies. This review intends to serve as the most up-to-date frame of evidence-based peri-operative care in our specialty and could serve as the first initiative to introduce an enhanced recovery after surgery (ERAS) program.

Challenges and Opportunities for the Veterinary Pathologist in Biomedical Research.

Animal models have critical roles in biomedical research in promoting understanding of human disease and facilitating development of new therapies and diagnostic techniques to improve human and animal health. In the study of myriad human conditions, each model requires in-depth characterization of its assets and limitations in order for it to be used to greatest advantage. Veterinary pathology expertise is critical in understanding the relevance and translational validity of animal models to conditions under study, assessing morbidity and mortality, and validating outcomes as relevant or not to the study interventions. Clear communication with investigators and education of research personnel on the use and interpretation of pathology endpoints in animal models are critical to the success of any research program. The veterinary pathologist is underutilized in biomedical research due to many factors including misconceptions about high fiscal costs, lack of perceived value, limited recognition of their expertise, and the generally low number of veterinary pathologists currently employed in biomedical research. As members of the multidisciplinary research team, veterinary pathologists have an important role to educate scientists, ensure accurate interpretation of pathology data, maximize rigor, and ensure reproducibility to provide the most reliable data for animal models in biomedical research.

Exclusion of Expert Contributors From Authorship Limits the Quality of Scientific Articles.

Veterinary pathologists are key contributors to multidisciplinary biomedical research. However, they are occasionally excluded from authorship in published articles despite their substantial intellectual and data contributions. To better understand the potential origins and implications of this practice, we identified and analyzed 29 scientific publications where the contributing pathologist was excluded as an author. The amount of pathologist-generated data contributions were similar to the calculated average contributions for authors, suggesting that the amount of data contributed by the pathologist was not a valid factor for their exclusion from authorship. We then studied publications with pathologist-generated contributions to compare the effects of inclusion or exclusion of the pathologist as an author. Exclusion of the pathologist from authorship was associated with significantly lower markers of rigor and reproducibility compared to articles in which the pathologist was included as author. Although this study did not find justification for the exclusion of pathologists from authorship, potential consequences of their exclusion on data quality were readily detectable.

Evolving challenges to model human diseases for translational research.

Animal models are a significant component of biomedical research and play an important role in translational studies. Traditionally, rodent models have been the mainstay and principal choice of researchers but in recent years, there have been significant changes in the landscape of animal modeling. For example, newer techniques have greatly expanded the use and successful application of large animal models such as pigs for translational studies. The evolving types and species of animal models can influence the research landscape in terms of facilities, expertise, reproducibility and funding streams, which creates new challenges for research studies. It is also important that investigators are prepared to address the necessity of their animal model research and capable to educate the public regarding its value.

Radiation-primed hepatocyte transplantation in murine monogeneic dyslipidemia normalizes cholesterol and prevents atherosclerosis.

BACKGROUND & AIMS: Inherited abnormalities in apolipoprotein E (ApoE) or low-density lipoprotein receptor (LDLR) function result in early onset cardiovascular disease and death. Currently, the only curative therapy available is liver transplantation. Hepatocyte transplantation is a potential alternative; however, physiological levels of hepatocyte engraftment and repopulation require transplanted cells to have a competitive proliferative advantage of over host hepatocytes. Herein, we aimed to test the efficacy and safety of a novel preparative regimen for hepatocyte transplantation. METHODS: Herein, we used an ApoE-deficient mouse model to test the efficacy of a new regimen for hepatocyte transplantation. We used image-guided external-beam hepatic irradiation targeting the median and right lobes of the liver to enhance cell transplant engraftment. This was combined with administration of the hepatic mitogen GC-1, a thyroid hormone receptor-ß agonist mimetic, which was used to promote repopulation. RESULTS: The non-invasive preparative regimen of hepatic irradiation and GC-1 was well-tolerated in ApoE-/- mice. This regimen led to robust liver repopulation by transplanted hepatocytes, which was associated with significant reductions in serum cholesterol levels after transplantation. Additionally, in mice receiving this regimen, ApoE was detected in the circulation 4 weeks after treatment and did not induce an immunological response. Importantly, the normalization of serum cholesterol prevented the formation of atherosclerotic plaques in this model. CONCLUSIONS: Significant hepatic repopulation and the cure of dyslipidemia in this model, using a novel and well-tolerated preparative regimen, demonstrate the clinical potential of applying this method to the treatment of inherited metabolic diseases of the liver. LAY SUMMARY: Hepatocyte transplantation is a promising alternative to liver transplantation for the treatment of liver diseases. However, it is inefficient, as restricted growth of transplanted cells in the liver limits its therapeutic benefits. Preparative treatments improve the efficiency of this procedure, but no clinically-feasible options are currently available. In this study we develop a novel well-tolerated preparative treatment to improve growth of cells in the liver and then demonstrate that this treatment completely cures an inherited lipid disorder in a mouse model.

Common Pitfalls in Analysis of Tissue Scores.

Histopathology remains an important source of descriptive biological data in biomedical research. Recent petitions for enhanced reproducibility in scientific studies have elevated the role of tissue scoring (semiquantitative and quantitative) in research studies. Effective tissue scoring requires appropriate statistical analysis to help validate the group comparisons and give the pathologist confidence in interpreting the data. Each statistical test is typically founded on underlying assumptions regarding the data. If the underlying assumptions of a statistical test do not match the data, then these tests can lead to increased risk of erroneous interpretations of the data. The choice of appropriate statistical test is influenced by the study's experimental design and resultant data (eg, paired vs unpaired, normality, number of groups, etc). Here, we identify 3 common pitfalls in the analysis of tissue scores: shopping for significance, overuse of paired t-tests, and misguided analysis of multiple groups. Finally, we encourage pathologists to use the full breadth of resources available to them, such as using statistical software, reading key publications about statistical approaches, and identifying a statistician to serve as a collaborator on the multidisciplinary research team. These collective resources can be helpful in choosing the appropriate statistical test for tissue-scoring data to provide the most valid interpretation for the pathologist.

Principles and approaches for reproducible scoring of tissue stains in research.

Evaluation of tissues is a common and important aspect of translational research studies. Labeling techniques such as immunohistochemistry can stain cells/tissues to enhance identification of specific cell types, cellular activation states, and protein expression. While qualitative evaluation of labeled tissues has merit, use of semiquantitative and quantitative scoring approaches can greatly enhance the rigor of the tissue data. Adhering to key principles for reproducible scoring can enhance the quality and reproducibility of the tissue data so as to maximize its biological relevance and scientific impact.

Approaches to Evaluate Lung Inflammation in Translational Research.

Inflammation is a common feature in several types of lung disease and is a frequent end point to validate lung disease models, evaluate genetic or environmental impact on disease severity, or test the efficacy of new therapies. Questions relevant to a study should be defined during experimental design and techniques selected to specifically address these scientific queries. In this review, the authors focus primarily on the breadth of techniques to evaluate lung inflammation that have both clinical and preclinical applications. Stratification of approaches to assess lung inflammation can diminish weaknesses inherent to each technique, provide data validation, and increase the reproducibility of a study. Specialized techniques (eg, imaging, pathology) often require experienced personnel to collect, evaluate, and interpret the data; these experts should be active contributors to the research team through reporting of the data. Scoring of tissue lesions is a useful method to transform observational pathologic data into semiquantitative or quantitative data for statistical analysis and enhanced rigor. Each technique to evaluate lung inflammation has advantages and limitations; understanding these parameters can help identify approaches that best complement one another to increase the rigor and translational significance of data.

Observational Study Design in Veterinary Pathology, Part 2: Methodology.

Observational studies are a basis for much of our knowledge of veterinary pathology, yet considerations for conducting pathology-based observational studies are not readily available. In part 1 of this series, we offered advice on planning and carrying out an observational study. Part 2 of the series focuses on methodology. Our general recommendations are to consider using already-validated methods, published guidelines, data from primary sources, and quantitative analyses. We discuss 3 common methods in pathology research-histopathologic scoring, immunohistochemistry, and polymerase chain reaction-to illustrate principles of method validation. Some aspects of quality control include use of clear objective grading criteria, validation of key reagents, assessing sample quality, determining specificity and sensitivity, use of technical and biologic negative and positive controls, blinding of investigators, approaches to minimizing operator-dependent variation, measuring technical variation, and consistency in analysis of the different study groups. We close by discussing approaches to increasing the rigor of observational studies by corroborating results with complementary methods, using sufficiently large numbers of study subjects, consideration of the data in light of similar published studies, replicating the results in a second study population, and critical analysis of the study findings.

Observational Study Design in Veterinary Pathology, Part 1: Study Design.

Observational studies are the basis for much of our knowledge of veterinary pathology and are highly relevant to the daily practice of pathology. However, recommendations for conducting pathology-based observational studies are not readily available. In part 1 of this series, we offer advice on planning and conducting an observational study with examples from the veterinary pathology literature. Investigators should recognize the importance of creativity, insight, and innovation in devising studies that solve problems and fill important gaps in knowledge. Studies should focus on specific and testable hypotheses, questions, or objectives. The methodology is developed to support these goals. We consider the merits and limitations of different types of analytic and descriptive studies, as well as of prospective vs retrospective enrollment. Investigators should define clear inclusion and exclusion criteria and select adequate numbers of study subjects, including careful selection of the most appropriate controls. Studies of causality must consider the temporal relationships between variables and the advantages of measuring incident cases rather than prevalent cases. Investigators must consider unique aspects of studies based on archived laboratory case material and take particular care to consider and mitigate the potential for selection bias and information bias. We close by discussing approaches to adding value and impact to observational studies. Part 2 of the series focuses on methodology and validation of methods.

The anticancer effect of PQ1 in the MMTV-PyVT mouse model.

Animal models are commonly used to analyze the mechanism of carcinogenesis as well as the development and screening of potent drugs. Here the transgenic strain FVB/N-Tg(MMTV-PyVT)634Mul/J (also known as PyVT) was used as a model system for measuring tumor burden, drug sensitivity, and metastasis of mammary carcinomas. Loss of gap junctional intercellular communication and the down regulation of connexin expression are characteristic of neoplastic cells. The substituted quinoline, 6-methoxy-8-[(3-aminopropyl)amino]-4-methyl-5-(3-trifluoromethyl-phenyloxy)quinolone (PQ1), has been shown to restore GJIC and increase connexin expression in breast cancer cell lines while not affecting normal mammary cells, suggesting that it may provide effective anticancer treatment with less detrimental effects. The PyVT spontaneous mammary tumor mouse model was used to determine the biological and histological effects of PQ1 on tumorigenesis and metastasis at three stages of development: Pretumor, early tumor and late tumor formation. Treatment with PQ1 at all three stages of development significantly reduced tumor growth. PQ1 treatment further increased Cx43 expression during pre- and early-tumor formation, while it prevented an increase in Cx46 expression during late stage tumor formation. This study shows that Cx43 expression and neoplastic cellular growth are inversely related, but that PQ1 can alter tumor growth through targeting gap junction proteins to prove clinical efficacy in the treatment of spontaneous mammary tumors.

Dystrophin-compromised sarcoglycan-δ-knockout diaphragm requires full wild-type embryonic stem cell reconstitution for correction.

Limb-girdle muscular dystrophy-2F (LGMD-2F) is an incurable degenerative muscle disorder caused by a mutation in the sarcoglycan-δ (SGδ)-encoding gene (SGCD in humans). The lack of SGδ results in the complete disruption of the sarcoglycan complex (SGC) in the skeletal and cardiac muscle within the larger dystrophin-glycoprotein complex (DGC). The long-term consequences of SG ablation on other members of the DGC are currently unknown. We produced mosaic mice through the injection of wild-type (WT) embryonic stem cells (ESCs) into SGδ-knockout (KO) blastocysts. ESC-derived SGδ was supplied to the sarcolemma of 18-month-old chimeric muscle, which resulted in the restoration of the SGC. Despite SGC rescue, and contrary to previous observations obtained with WT/mdx chimeras (a mouse rescue paradigm for Duchenne muscular dystrophy), low levels of ESC incorporation were insufficient to produce histological corrections in SGδ-KO skeletal muscle or heart. The inefficient process of ESC rescue was more evident in the SGδ-KO diaphragm, which had reduced levels of dystrophin and no compensatory utrophin, and needed almost full WT ESC reconstitution for histological improvement. The results suggest that the SGδ-KO mouse model of LGMD is not amenable to ESC treatment.

If you give a mouse a mutation: comparing the therapeutic utility of renowned mouse models of human cancers.

Cancers of the breast, prostate and intestinal tract account for most cancer-associated deaths in humans and represent several of the highest incidence human neoplasms. Therefore, understanding the underlying pathophysiology, including the formation and propagation of these cancers, is key to designing potential treatments. Over the last 50 years or more, genetically engineered mouse models (GEMMs) have been instrumental platforms to our discovery of neoplastic disease as many follow near-identical molecular and histological progression as human tumours. In this mini review, we summarize three key preclinical models and focus on some of the major findings in relation to clinical care. We discuss the MMTV-PyMT (polyomavirus middle T antigen) mouse, TRAMP (transgenic adenocarcinoma mouse prostate) mouse and APCMin (multiple intestinal neoplasm mutation of APC gene) mouse, which mimic breast, prostate and intestinal cancers, respectively. We aim to describe the significant contributions these GEMMs have made to our collective understanding of high-incidence cancers as well as briefly discuss the limitations of each model as a device for therapeutic discovery.

A hospital within a hospital: An innovative pharmacy model to improve the continuum of care.

PURPOSE: To describe the implementation of a contracted pharmacy service model for a co-located long-term acute care hospital (LTAC). SUMMARY: Historically, most LTACs have been free-standing healthcare facilities, but there is an increased trend towards the co-located LTAC ("hospital within a hospital") model. Co-located LTACs represent a solution for the management of patient throughput within a health system, with optimized bed capacity at the host hospital, increased revenue under a prospective payment system, and reduced readmission rates. A co-located LTAC will likely share resources with the host hospital, including ancillary departments such as pharmacy services, through a contractual model. Operationalization of pharmacy services in a co-located LTAC presents unique challenges in the integration of pharmacy services. Pharmacy leaders at Houston Methodist collaborated with executive leadership and other healthcare disciplines to expand services from a free-standing LTAC to a co-located LTAC at the academic medical center location. The contracted pharmacy service operationalization processes in the co-located LTAC comprised licensure and regulations, accreditation, information technology enhancements, a staffing model, operations/distribution services, clinical services, and a defined quality reporting structure. Admissions from the host hospital to the LTAC consisted of patients requiring long-term antibiotic administrations, pre- and post-organ transplant care, complex wound care, oncologic-related treatment, and neurological rehabilitation for strengthening and continued care. CONCLUSION: The framework described here offers guidance to health-system pharmacy departments to support establishment of a co-located LTAC. The case study outlines challenges, considerations, and processes for implementation of a successful contracted pharmacy service model.

Chemical Entity Normalization for Successful Translational Development of Alzheimer's Disease and Dementia Therapeutics.

Background: Identifying chemical mentions within the Alzheimer's and dementia literature can provide a powerful tool to further therapeutic research. Leveraging the Chemical Entities of Biological Interest (ChEBI) ontology, which is rich in hierarchical and other relationship types, for entity normalization can provide an advantage for future downstream applications. We provide a reproducible hybrid approach that combines an ontology-enhanced PubMedBERT model for disambiguation with a dictionary-based method for candidate selection. Results: There were 56,553 chemical mentions in the titles of 44,812 unique PubMed article abstracts. Based on our gold standard, our method of disambiguation improved entity normalization by 25.3 percentage points compared to using only the dictionary-based approach with fuzzy-string matching for disambiguation. For our Alzheimer's and dementia cohort, we were able to add 47.1% more potential mappings between MeSH and ChEBI when compared to BioPortal. Conclusion: Use of natural language models like PubMedBERT and resources such as ChEBI and PubChem provide a beneficial way to link entity mentions to ontology terms, while further supporting downstream tasks like filtering ChEBI mentions based on roles and assertions to find beneficial therapies for Alzheimer's and dementia.

Developmental ablation of Id1 and Id3 genes in the vasculature leads to postnatal cardiac phenotypes.

The Id1 and Id3 genes play major roles during cardiac development, despite their expression being confined to non-myocardial layers (endocardium-endothelium-epicardium). We previously described that Id1Id3 double knockout (dKO) mouse embryos die at mid-gestation from multiple cardiac defects, but early lethality precluded the studies of the roles of Id in the postnatal heart. To elucidate postnatal roles of Id genes, we ablated the Id3 gene and conditionally ablated the Id1 gene in the endothelium to generate conditional KO (cKO) embryos. We observed cardiac phenotypes at birth and at 6 months of age. Half of the Id cKO mice died at birth. Postnatal demise was associated with cardiac enlargement and defects in the ventricular septum, trabeculation and vasculature. Surviving Id cKO mice exhibited fibrotic vasculature, cardiac enlargement and decreased cardiac function. An abnormal vascular response was also observed in the healing of excisional skin wounds of Id cKO mice. Expression patterns of vascular, fibrotic and hypertrophic markers were altered in the Id cKO hearts, but addition of Insulin-Like Growth Factor binding protein-3 (IGFbp3) reversed gene expression profiles of vascular and fibrotic, but not hypertrophic markers. Thus, ablation of Id genes in the vasculature leads to distinct postnatal cardiac phenotypes. These findings provide important insights into the role/s of the endocardial network of the endothelial lineage in the development of cardiac disease, and highlight IGFbp3 as a potential link between Id and its vascular effectors.

Why Not Home?: A Study of the Impact of an Effort to Reduce Postacute Expenditures.

PURPOSE OF STUDY: Accountable Care Organizations (ACOs) aiming to reduce healthcare expenditure adopt strategies targeting costly postacute service utilization, asking "why not home?" as a part of the hospital discharge planning paradigm. This study examined the impact of an interventional approach to implement evidence-based interventions to improve transitions of care to the least restrictive next site of care on the rate of skilled nursing facility (SNF) admissions per 1,000, SNF length of stay (LOS), and total SNF cost. PRIMARY PRACTICE SETTING: The impact of the interventional approach for an ACO-attributed Medicare population, analyzing Medicare Shared Savings Plan Part A and Part B beneficiary claims data, was examined. METHODOLOGY AND SAMPLE: A pre-/postintervention analysis was conducted, for dates of service 12 months pre- and postintervention for patients admitted to any hospital within the integrated health care system. The outcome variables were defined as SNF admission rate, SNF LOS, cost of care (total SNF cost, SNF cost per admission), and hospital LOS prior to SNF discharge. RESULTS: There was early evidence of the effectiveness of the multifaceted interventions that involved the delivery of interprofessional team member education focused on the tenets of value-based care and discharging patients to the least restrictive setting, as appropriate. In the normalized data review, it was noted that the rate of SNF discharges per 1,000 patients changed from 73 per 1,000 patients in the preintervention period to 70 per 1,000 patients in the postintervention period. The total SNF cost in the postintervention period only increased by 3%, with a difference of $616,014, despite the 10% increase in the total ACO-attributed patient population during the same period. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE: The results of this study imply that a multifaceted intervention with aims to shift the transitional care planning paradigm toward discharging to the least restrictive next site of care is an effective strategy for ACOs with aspirations to improve the utilization and expenditure in the postacute setting. The analyses suggest that providing education to interprofessional team members that reinforces the tenets of value-based care and the importance of asking, "why not home?" for every hospitalized patient, and leveraging technology-based insights positively impact discharge rates to SNF and other ACO outcomes.

State space methods for phase amplitude coupling analysis.

Phase amplitude coupling (PAC) is thought to play a fundamental role in the dynamic coordination of brain circuits and systems. There are however growing concerns that existing methods for PAC analysis are prone to error and misinterpretation. Improper frequency band selection can render true PAC undetectable, while non-linearities or abrupt changes in the signal can produce spurious PAC. Current methods require large amounts of data and lack formal statistical inference tools. We describe here a novel approach for PAC analysis that substantially addresses these problems. We use a state space model to estimate the component oscillations, avoiding problems with frequency band selection, nonlinearities, and sharp signal transitions. We represent cross-frequency coupling in parametric and time-varying forms to further improve statistical efficiency and estimate the posterior distribution of the coupling parameters to derive their credible intervals. We demonstrate the method using simulated data, rat local field potentials (LFP) data, and human EEG data.