Exploring the ATG9A interactome uncovers interaction with VPS13A

ATG9A, a transmembrane protein of the core autophagy pathway, cycles between the Golgi, endosomes and a vesicular compartment. ATG9A was recently shown to act as a lipid scramblase, and this function is thought to require its interaction with another core autophagy protein, ATG2A, which acts as a lipid transfer protein. Together, ATG9A and ATG2A are proposed to function to expand the growing autophagosome. However, ATG9A is implicated in other pathways including membrane repair and lipid droplet homeostasis. To elucidate other ATG9A interactors within the autophagy pathway, or interactors beyond autophagy, we performed an interactome analysis through mass spectrometry. This analysis revealed a host of proteins involved in lipid synthesis and trafficking, including ACSL3, VPS13A and VPS13C. Furthermore, we show that ATG9A directly interacts with VPS13A and forms a complex that is distinct from the ATG9A-ATG2A complex.

Prediction of Cardiometabolic Health Through Changes in Plasma Proteins With Intentional Weight Loss in the DiRECT and DIADEM-I Randomized Clinical Trials of Type 2 Diabetes Remission

OBJECTIVE

To determine the extent to which changes in plasma proteins, previously predictive of cardiometabolic outcomes, predict changes in two diabetes remission trials.

RESEARCH DESIGN AND METHODS

We applied SomaSignal predictive tests (each derived from ∼5,000 plasma protein measurements using aptamer-based proteomics assay) to baseline and 1-year samples of trial intervention (Diabetes Remission Clinical Trial [DiRECT], n = 118, and Diabetes Intervention Accentuating Diet and Enhancing Metabolism [DIADEM-I], n = 66) and control (DiRECT, n = 144, DIADEM-I, n = 76) group participants.

RESULTS

Mean (SD) weight loss in DiRECT (U.K.) and DIADEM-I (Qatar) was 10.2 (7.4) kg and 12.1 (9.5) kg, respectively, vs. 1.0 (3.7) kg and 4.0 (5.4) kg in control groups. Cardiometabolic SomaSignal test results showed significant improvement (Bonferroni-adjusted P < 0.05) in DiRECT and DIADEM-I (expressed as relative difference, intervention minus control) as follows, respectively: liver fat (-26.4%, -37.3%), glucose tolerance (-36.6%, -37.4%), body fat percentage (-8.6%, -8.7%), resting energy rate (-8.0%, -5.1%), visceral fat (-34.3%, -26.1%), and cardiorespiratory fitness (9.5%, 10.3%). Cardiovascular risk (measured with SomaSignal tests) also improved in intervention groups relative to control, but this was significant only in DiRECT (DiRECT, -44.2%, and DIADEM-I, -9.2%). However, weight loss >10 kg predicted significant reductions in cardiovascular risk, -19.1% (95% CI -33.4 to -4.91) in DiRECT and -33.4% (95% CI -57.3, -9.6) in DIADEM-I. DIADEM-I also demonstrated rapid emergence of metabolic improvements at 3 months.

CONCLUSIONS

Intentional weight loss in recent-onset type 2 diabetes rapidly induces changes in protein-based risk models consistent with widespread cardiometabolic improvements, including cardiorespiratory fitness. Protein changes with greater (>10 kg) weight loss also predicted lower cardiovascular risk, providing a positive outlook for relevant ongoing trials.

Abstract 5411: Efficient development of prognostic tests for detecting cancer risk using proteomic technology

Background: Prognostic models for assessing future health outcomes can be developed using time-to-event (also known as “survival”) data. This methodology is ubiquitous in statistical literature and in the analysis of cancer outcomes, but its use in high-dimensional analyses tends to be limited as the methods are difficult to implement in a machine learning environment. Additionally, development of certified prognostic clinical tests using proteomic biomarkers for detecting future cancer risk can be time-consuming, prone to overfitting issues, and difficult to navigate. We demonstrate the utility of combining SomaScan® proteomic data with pipeline machine learning tools and survival analysis methodology to identify powerful and robust LDT-certifiable prognostic tests for assessing future risk of cancer.

Methods: Data pipeline and analysis tools were developed using R. In addition to standard machine learning techniques, statistical methods include elastic net AFT models, subsampling survival techniques, and metrics for assessing predictive survival models. The pipeline takes the analyst from data processing and QC through identification of optimal models for prediction of clinical endpoints, and then through validation on a hold-out test set. The tools include an assessment of model robustness against sample handling issues, longitudinal stability, the impacts of assay noise on model performance, effects of putative interferents, and risk of failure during CLIA validation in the lab. We demonstrate the utility of the tools and methods for development of a lung cancer risk model.

Results: Analysis time for validation of an optimal clinical model was reduced by at least 80%, resulting in the development of 7 LDT-certified tests within 3 years, including a test for lung cancer risk. Inclusion of methods that allow for subsampling and penalized regression using AFT models show improved predictive performance and identification of top features related to clinical endpoints.

Conclusion: Not only are powerful, prognostic tests do-able, but they can be LDT certified in an efficient manner and made to be robust to real-life lab settings. Survival analysis in a machine-learning setting allow us to leverage proteomic technology in new ways, leading to tests that assess future cancer risk, which can be used for precision medicine applications.

Citation Format: Yolanda Hagar, Leigh Alexander, Jessica Chadwick, Gargi Datta, Joe Gogain, Rachel Ostroff, Clare Paterson, Laura Sampson, Caleb Scheidel, Sama Shrestha, Amy Zhang, Michael Hinterberg. Efficient development of prognostic tests for detecting cancer risk using proteomic technology. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5411.

Abstract 4361: The plasma proteome as a cardiovascular disease risk assessment tool in cancer survivors

Cardiovascular disease (CVD) is the most common non-cancer cause of death in cancer survivors and there is an unmet clinical need for easy, accurate, and safe CVD prognostic risk-stratification in adult cancer survivors. This study investigated whether a previously validated 27-plasma protein prognostic model for four-year cardiovascular (CV) events could have such a utility. We used the 27-plasma protein model to predict the four-year risk of a CV event (myocardial infarction, stroke, transient ischemic attack, heart failure hospitalization, death) in 906 participants with a prior history or active malignancy of any type of cancer and compared predictive results to follow-up CV outcome data. The participants were from the BASEL VIII or ARIC (visit 3) studies with a medically adjudicated prior diagnosis of cancer. BASEL VIII is an observational cohort study in patients with suspected coronary artery disease. ARIC is a multi-site cohort study funded by the NHLBI, NCI, and NPCR investigating risk factors for CV health. A subset analysis was conducted to assess model performance in participants with no prior history of CVD and those with stable CVD. The 27-plasma protein model accurately stratified participants into 4 distinct and non-overlapping (95% CI) risk bins. The median time to event for all cancer survivors who had an event in this study was 1.3 years. Observed 4-year event rates across the 4 risk bins (low, medium-low, medium-high, and high) were 11.0%, 17.3%, 31.2% and 60.2%, respectively, which were higher than stratified event rates from our previously published metacohort analyses (5.6%, 11.2%, 20.0% and 43.4%, respectively) in participants with elevated CVD risk factors (e.g., prior events, diabetes, kidney disease and suspected coronary artery disease). The plasma protein model accurately predicted 4-year CVD risk with a C-index of 0.71 (0.68, 0.74) and 4-year AUC of 0.74 (0.69, 0.79). Performance of the protein model was comparable between participants with no prior history of CVD (C-Index: 0.69; AUC: 0.71) and stable CVD (C-Index: 0.69; AUC: 0.72), demonstrating the model accurately predicts CV event risk in cancer survivors regardless of cardiovascular history. Cancer survivors in this cohort can be distinguished with 4-year CV event rates as high as 60.2%, underscoring the urgent need for an easy and accurate risk stratification tool for this population. Prognostic protein testing may provide a novel tool for CVD risk assessment in adult cancer survivors.

Citation Format: Emma V. Troth, Matthew Ayala, Jessica Chadwick, Erin Hales, Michael Hinterberg, Jessica N. Kuzma, Clare Paterson, Rachel Ostroff, Joan E. Walter, Christian Mueller, Josef Coresh. The plasma proteome as a cardiovascular disease risk assessment tool in cancer survivors. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4361.

In vivo characterization of Drosophila golgins reveals redundancy and plasticity of vesicle capture at the Golgi apparatus

The Golgi is the central sorting station in the secretory pathway and thus the destination of transport vesicles arriving from the endoplasmic reticulum and endosomes and from within the Golgi itself. Cell viability, therefore, requires that the Golgi accurately receives multiple classes of vesicle. One set of proteins proposed to direct vesicle arrival at the Golgi are the golgins, long coiled-coil proteins localized to specific parts of the Golgi stack. In mammalian cells, three of the golgins, TMF, golgin-84, and GMAP-210, can capture intra-Golgi transport vesicles when placed in an ectopic location. However, the individual golgins are not required for cell viability, and mouse knockout mutants only have defects in specific tissues. To further illuminate this system, we examine the Drosophila orthologs of these three intra-Golgi golgins. We show that ectopic forms can capture intra-Golgi transport vesicles, but strikingly, the cargo present in the vesicles captured by each golgin varies between tissues. Loss-of-function mutants show that the golgins are individually dispensable, although the loss of TMF recapitulates the male fertility defects observed in mice. However, the deletion of multiple golgins results in defects in glycosylation and loss of viability. Examining the vesicles captured by a particular golgin when another golgin is missing reveals that the vesicle content in one tissue changes to resemble that of a different tissue. This reveals a plasticity in Golgi organization between tissues, providing an explanation for why the Golgi is sufficiently robust to tolerate the loss of many of the individual components of its membrane traffic machinery.

CBP/p300 activation promotes axon growth, sprouting, and synaptic plasticity in chronic experimental spinal cord injury with severe disability

The interruption of spinal circuitry following spinal cord injury (SCI) disrupts neural activity and is followed by a failure to mount an effective regenerative response resulting in permanent neurological disability. Functional recovery requires the enhancement of axonal and synaptic plasticity of spared as well as injured fibres, which need to sprout and/or regenerate to form new connections. Here, we have investigated whether the epigenetic stimulation of the regenerative gene expression program can overcome the current inability to promote neurological recovery in chronic SCI with severe disability. We delivered the CBP/p300 activator CSP-TTK21 or vehicle CSP weekly between week 12 and 22 following a transection model of SCI in mice housed in an enriched environment. Data analysis showed that CSP-TTK21 enhanced classical regenerative signalling in dorsal root ganglia sensory but not cortical motor neurons, stimulated motor and sensory axon growth, sprouting, and synaptic plasticity, but failed to promote neurological sensorimotor recovery. This work provides direct evidence that clinically suitable pharmacological CBP/p300 activation can promote the expression of regeneration-associated genes and axonal growth in a chronic SCI with severe neurological disability.

Incisional hernia following colorectal cancer surgery according to suture technique: Hughes Abdominal Repair Randomized Trial (HART)

BACKGROUND

Incisional hernias cause morbidity and may require further surgery. HART (Hughes Abdominal Repair Trial) assessed the effect of an alternative suture method on the incidence of incisional hernia following colorectal cancer surgery.

METHODS

A pragmatic multicentre single-blind RCT allocated patients undergoing midline incision for colorectal cancer to either Hughes closure (double far-near-near-far sutures of 1 nylon suture at 2-cm intervals along the fascia combined with conventional mass closure) or the surgeon's standard closure. The primary outcome was the incidence of incisional hernia at 1 year assessed by clinical examination. An intention-to-treat analysis was performed.

RESULTS

Between August 2014 and February 2018, 802 patients were randomized to either Hughes closure (401) or the standard mass closure group (401). At 1 year after surgery, 672 patients (83.7 per cent) were included in the primary outcome analysis; 50 of 339 patients (14.8 per cent) in the Hughes group and 57 of 333 (17.1 per cent) in the standard closure group had incisional hernia (OR 0.84, 95 per cent c.i. 0.55 to 1.27; P = 0.402). At 2 years, 78 patients (28.7 per cent) in the Hughes repair group and 84 (31.8 per cent) in the standard closure group had incisional hernia (OR 0.86, 0.59 to 1.25; P = 0.429). Adverse events were similar in the two groups, apart from the rate of surgical-site infection, which was higher in the Hughes group (13.2 versus 7.7 per cent; OR 1.82, 1.14 to 2.91; P = 0.011).

CONCLUSION

The incidence of incisional hernia after colorectal cancer surgery is high. There was no statistical difference in incidence between Hughes closure and mass closure at 1 or 2 years.

REGISTRATION NUMBER

ISRCTN25616490 (http://www.controlled-trials.com).

Abstract LB515: Cardiovascular risk assessed by aptamer-based proteomics is increased in early breast cancer

Background: Cancer patients with a high risk for cardiovascular (CV) disease may be susceptible to cardiotoxic injury during cancer therapy. Accordingly, CV risk assessment may help in identifying candidates for preventive cardioprotective treatment. Since existing CV risk scores may lack the sensitivity and granularity to reflect the changes in CV risk that is associated with early cancer, we hypothesized that a CV risk score based on aptamer-based proteomics would permit discrimination of CV risk between patients with early breast cancer and age-, sex- and risk factor-matched healthy subjects. Moreover, we hypothesized that CV risk as assessed by aptamer-based proteomics first increases during and subsequently decreases after anthracycline-containing chemotherapy.

Methods: We included 120 women with early breast cancer participating in the 2x2 factorial, randomized, placebo-controlled Prevention of cardiac dysfunction during adjuvant breast cancer therapy (PRADA) trial who were assigned to candesartan vs placebo and metoprolol vs placebo. Blood samples were obtained serially at: Visit 1 (ie, post-surgery but prior to epirubicin), following the first cycle of epirubicin (Visit 2), after the completion of epirubicin therapy (Visit 3), following adjuvant therapy (Visit 4), and 1-2 years after completion of adjuvant and blinded therapy (Visit 5). Age-, sex-, and risk factor-matched subjects (n = 500) from the Fenland study served as controls. We used highly multiplexed modified aptamer-based proteomics to measure ~5000 plasma proteins. A validated 27-protein CV risk model (CVD) that provides information on absolute risk of myocardial infarction, stroke, heart failure or mortality over a 4-year period was used as the dependent variable.

Results: The CVD risk probability was significantly higher at Visit 1 than in the age-, sex- and risk-factor matched control group (p &lt; 0.001). The CVD risk probability increased significantly from baseline to completion of epirubicin therapy (p &lt; 0.001) and dropped below baseline levels for subsequent timepoints after the completion of epirubicin treatment. The mean CVD risk increased from 15.9% at Visit 2 to 24.6% at Visit 3, resulting in the percentage of subjects in the medium-high risk bin increasing from 9% at Visit 2 to 28% at Visit 3. The CVD risk distribution at the end of study was similar to the initial distribution at baseline and Visit 2.

Conclusion: Using a novel CVD risk proteomics model, we observed that (1) The CVD risk of patients with early breast cancer is increased compared to age-, sex- and risk factor-matched individuals from the general population; (2) CVD risk increases during adjuvant epirubicin-containing chemotherapy, and (3) after completed adjuvant cancer therapy CVD risk returns to pre-chemotherapy level. Use of the CVD risk score may represent a novel tool to identify and monitor cancer patients who may benefit from preventive cardioprotective therapy.

Citation Format: Torbjørn Omland, Jessica Chadwick, Ragnhild Røysland, Geeta Gulati, David Astling, Siri L. Heck, Victoria Vinje, Rachel Ostroff, Peter Ganz, Jürgen Geisler, Steve Williams. Cardiovascular risk assessed by aptamer-based proteomics is increased in early breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr LB515.

A proteomic surrogate for cardiovascular outcomes that is sensitive to multiple mechanisms of change in risk

A reliable, individualized, and dynamic surrogate of cardiovascular risk, synoptic for key biologic mechanisms, could shorten the path for drug development, enhance drug cost-effectiveness and improve patient outcomes. We used highly multiplexed proteomics to address these objectives, measuring about 5000 proteins in each of 32,130 archived plasma samples from 22,849 participants in nine clinical studies. We used machine learning to derive a 27-protein model predicting 4-year likelihood of myocardial infarction, stroke, heart failure, or death. The 27 proteins encompassed 10 biologic systems, and 12 were associated with relevant causal genetic traits. We independently validated results in 11,609 participants. Compared to a clinical model, the ratio of observed events in quintile 5 to quintile 1 was 6.7 for proteins versus 2.9 for the clinical model, AUCs (95% CI) were 0.73 (0.72 to 0.74) versus 0.64 (0.62 to 0.65), c-statistics were 0.71 (0.69 to 0.72) versus 0.62 (0.60 to 0.63), and the net reclassification index was +0.43. Adding the clinical model to the proteins only improved discrimination metrics by 0.01 to 0.02. Event rates in four predefined protein risk categories were 5.6, 11.2, 20.0, and 43.4% within 4 years; median time to event was 1.71 years. Protein predictions were directionally concordant with changed outcomes. Adverse risks were predicted for aging, approaching an event, anthracycline chemotherapy, diabetes, smoking, rheumatoid arthritis, cancer history, cardiovascular disease, high systolic blood pressure, and lipids. Reduced risks were predicted for weight loss and exenatide. The 27-protein model has potential as a "universal" surrogate end point for cardiovascular risk.

Cyclin-dependent-like kinase 5 is required for pain signaling in human sensory neurons and mouse models

Cyclin-dependent-like kinase 5 (CDKL5) gene mutations lead to an X-linked disorder that is characterized by infantile epileptic encephalopathy, developmental delay, and hypotonia. However, we found that a substantial percentage of these patients also report a previously unrecognized anamnestic deficiency in pain perception. Consistent with a role in nociception, we found that CDKL5 is expressed selectively in nociceptive dorsal root ganglia (DRG) neurons in mice and in induced pluripotent stem cell (iPS)-derived human nociceptors. CDKL5-deficient mice display defective epidermal innervation, and conditional deletion of CDKL5 in DRG sensory neurons impairs nociception, phenocopying CDKL5 deficiency disorder in patients. Mechanistically, CDKL5 interacts with calcium/calmodulin-dependent protein kinase II α (CaMKIIα) to control outgrowth and transient receptor potential cation channel subfamily V member 1 (TRPV1)-dependent signaling, which are disrupted in both CDKL5 mutant murine DRG and human iPS-derived nociceptors. Together, these findings unveil a previously unrecognized role for CDKL5 in nociception, proposing an original regulatory mechanism for pain perception with implications for future therapeutics in CDKL5 deficiency disorder.

Spatial proteomics defines the content of trafficking vesicles captured by golgin tethers

Intracellular traffic between compartments of the secretory and endocytic pathways is mediated by vesicle-based carriers. The proteomes of carriers destined for many organelles are ill-defined because the vesicular intermediates are transient, low-abundance and difficult to purify. Here, we combine vesicle relocalisation with organelle proteomics and Bayesian analysis to define the content of different endosome-derived vesicles destined for the trans-Golgi network (TGN). The golgin coiled-coil proteins golgin-97 and GCC88, shown previously to capture endosome-derived vesicles at the TGN, were individually relocalised to mitochondria and the content of the subsequently re-routed vesicles was determined by organelle proteomics. Our findings reveal 45 integral and 51 peripheral membrane proteins re-routed by golgin-97, evidence for a distinct class of vesicles shared by golgin-97 and GCC88, and various cargoes specific to individual golgins. These results illustrate a general strategy for analysing intracellular sub-proteomes by combining acute cellular re-wiring with high-resolution spatial proteomics.

Human CNS barrier-forming organoids with cerebrospinal fluid production

Cerebrospinal fluid (CSF) is a vital liquid, providing nutrients and signaling molecules and clearing out toxic by-products from the brain. The CSF is produced by the choroid plexus (ChP), a protective epithelial barrier that also prevents free entry of toxic molecules or drugs from the blood. Here, we establish human ChP organoids with a selective barrier and CSF-like fluid secretion in self-contained compartments. We show that this in vitro barrier exhibits the same selectivity to small molecules as the ChP in vivo and that ChP-CSF organoids can predict central nervous system (CNS) permeability of new compounds. The transcriptomic and proteomic signatures of ChP-CSF organoids reveal a high degree of similarity to the ChP in vivo. Finally, the intersection of single-cell transcriptomics and proteomic analysis uncovers key human CSF components produced by previously unidentified specialized epithelial subtypes.

Plasma protein patterns as comprehensive indicators of health

Proteins are effector molecules that mediate the functions of genes1,2 and modulate comorbidities3-10, behaviors and drug treatments11. They represent an enormous potential resource for personalized, systemic and data-driven diagnosis, prevention, monitoring and treatment. However, the concept of using plasma proteins for individualized health assessment across many health conditions simultaneously has not been tested. Here, we show that plasma protein expression patterns strongly encode for multiple different health states, future disease risks and lifestyle behaviors. We developed and validated protein-phenotype models for 11 different health indicators: liver fat, kidney filtration, percentage body fat, visceral fat mass, lean body mass, cardiopulmonary fitness, physical activity, alcohol consumption, cigarette smoking, diabetes risk and primary cardiovascular event risk. The analyses were prospectively planned, documented and executed at scale on archived samples and clinical data, with a total of ~85 million protein measurements in 16,894 participants. Our proof-of-concept study demonstrates that protein expression patterns reliably encode for many different health issues, and that large-scale protein scanning12-16 coupled with machine learning is viable for the development and future simultaneous delivery of multiple measures of health. We anticipate that, with further validation and the addition of more protein-phenotype models, this approach could enable a single-source, individualized so-called liquid health check.

EHD Proteins Cooperate to Generate Caveolar Clusters and to Maintain Caveolae during Repeated Mechanical Stress

Caveolae introduce flask-shaped convolutions into the plasma membrane and help to protect the plasma membrane from damage under stretch forces. The protein components that form the bulb of caveolae are increasingly well characterized, but less is known about the contribution of proteins that localize to the constricted neck. Here we make extensive use of multiple CRISPR/Cas9-generated gene knockout and knockin cell lines to investigate the role of Eps15 Homology Domain (EHD) proteins at the neck of caveolae. We show that EHD1, EHD2, and EHD4 are recruited to caveolae. Recruitment of the other EHDs increases markedly when EHD2, which has been previously detected at caveolae, is absent. Construction of knockout cell lines lacking EHDs 1, 2, and 4 confirms this apparent functional redundancy. Two striking sets of phenotypes are observed in EHD1,2,4 knockout cells: (1) the characteristic clustering of caveolae into higher-order assemblies is absent; and (2) when the EHD1,2,4 knockout cells are subjected to prolonged cycles of stretch forces, caveolae are destabilized and the plasma membrane is prone to rupture. Our data identify the first molecular components that act to cluster caveolae into a membrane ultrastructure with the potential to extend stretch-buffering capacity and support a revised model for the function of EHDs at the caveolar neck.

Bilateral arthrodesis of the distal tibiofibular joint for deforming osteochondromatas

The first case of bilateral distal tibiofibular joint fusions for osteochondromas is reported with excellent long-term outcomes.

Caveolae protect endothelial cells from membrane rupture during increased cardiac output

This study provides direct in vivo evidence that endothelial cell caveolae disassemble and hence flatten out under increased mechanical stress and that the presence of caveolae protects endothelial cell plasma membranes from damage.

Caveolae are strikingly abundant in endothelial cells, yet the physiological functions of caveolae in endothelium and other tissues remain incompletely understood. Previous studies suggest a mechanoprotective role, but whether this is relevant under the mechanical forces experienced by endothelial cells in vivo is unclear. In this study we have sought to determine whether endothelial caveolae disassemble under increased hemodynamic forces, and whether caveolae help prevent acute rupture of the plasma membrane under these conditions. Experiments in cultured cells established biochemical assays for disassembly of caveolar protein complexes, and assays for acute loss of plasma membrane integrity. In vivo, we demonstrate that caveolae in endothelial cells of the lung and cardiac muscle disassemble in response to acute increases in cardiac output. Electron microscopy and two-photon imaging reveal that the plasma membrane of microvascular endothelial cells in caveolin 1^−/− mice is much more susceptible to acute rupture when cardiac output is increased. These data imply that mechanoprotection through disassembly of caveolae is important for endothelial function in vivo.

Nurses in Action: A Response to Cultural Care Challenges in a Pediatric Acute Care Setting

Culturally congruent care is satisfying, meaningful, fits with people's daily lives, and promotes their health and wellbeing. A group of staff nurses identified specific clinical challenges they faced in providing such care for Hispanic and underserved Caucasian children and families in the pediatric medical-surgical unit of an urban regional children's hospital in the southeastern U.S. To address these challenges, an academic-practice partnership was formed between a group of nurse managers and staff nurses at the children's hospital and nursing faculty and graduate students at a local, research-intensive public university. Using the culture care theory, the partners collaborated on a research study to discover knowledge that would help the nursing staff resolve the identified clinical challenges. Twelve families and 12 healthcare providers participated. Data analysis revealed five care factors that participants identified as most valuable: family, faith, communication, care integration, and meeting basic needs. These themes were used to formulate nursing actions that, when applied in daily practice, could facilitate the provision of culturally congruent care for these children and their families. The knowledge generated by this study also has implications for healthcare organizations, nursing educators, and academic-practice partnerships that seek to ensure the delivery of equitable care for all patients.

Evidence-based practice habits: putting more sacred cows out to pasture

For excellence in practice to be the standard for care, critical care nurses must embrace evidence-based practice as the norm. Nurses cannot knowingly continue a clinical practice despite research showing that the practice is not helpful and may even be harmful to patients. This article is based on 2 presentations on evidence-based practice from the American Association for Critical-Care Nurses' 2009 and 2010 National Teaching Institute and addresses 7 practice issues that were selected for 2 reasons. First, they are within the realm of nursing, and a change in practice could improve patient care immediately. Second, these are areas in which the tradition and the evidence do not agree and practice continues to follow tradition. The topics to be addressed are (1) Trendelenburg positioning for hypotension, (2) use of rectal tubes to manage fecal incontinence, (3) gastric residual volume and aspiration risk, (4) restricted visiting policies, (5) nursing interventions to reduce urinary catheter-associated infections, (6) use of cell phones in critical care areas, and (7) accuracy of assessment of body temperature. The related beliefs, current evidence, and recommendations for practice related to each topic are outlined.

Effect of lithium salts on lactate dehydrogenase, adenylate kinase, and 1-phosphofructokinase activities

Inhibitions of 30 nM rabbit muscle 1-phosphofructokinase (PFK-1) by lithium, potassium, and sodium salts showed inhibition or not depending upon the anion present. Generally, potassium salts were more potent inhibitors than sodium salts; the extent of inhibition by lithium salts also varied with the anion. Li(2)CO(3) was a relatively potent inhibitor of PFK-1 but LiCl and lithium acetate were not. Our results suggest that extents of inhibition by monovalent salts were due to both cations and anions, and the latter needs to be considered before inhibition can be credited to the cation. An explanation for monovalent salt inhibitions is proffered involving interactions of both cations and anions at negative and positive sites of PFK-1 that affect enzyme activity. Our studies suggest that lithium cations per se are not inhibitors: the inhibitors are the lithium salts, and we suggest that in vitro studies involving the effects of monovalent salts on enzymes should involve more than one anion.

Non-specific antiviral activity of antisense molecules targeted to the E1 region of human papillomavirus

Antisense phosphorothioate oligonucleotides (ODN1 0x5 OMe) directed against the E1 start region of human papillomavirus 11 (HPV11) can inhibit papillomavirus induced growth of implanted human foreskin in a mouse xenograft model. Administration of a mismatch control oligonucleotide (ODN9 0x5 OMe), in which guanine was replaced with adenine in the same model, had no effect on papilloma induced growth. However, the apparent antiviral activity of ODN1 0x5 OMe was also shown in a lethal mouse cytomegalovirus (CMV) model, in which the oligonucleotides are not expected to have antisense activity. To understand the mechanisms of action of these oligonucleotides, a mismatch oligonucleotide (ODN61 0x5 OMe) was prepared which retained the CpG motifs of ODN1 0x5 OMe. This was tested in the mouse xenograft model and shown to have moderate inhibitory activity. As a definitive experiment, a comparison was made between the efficacy of the active oligonucleotide ODN1 0x5 OMe against two papilloma viruses HPV11 and HPV40. Both these viruses cause benign genital warts, but differ by four bases in their E1 sequence that was the target for ODN1 0x5 OMe. Papillomavirus induced growth in the mouse xenograft model was inhibited by ODN1 0x5 OMe in both cases, suggesting that oligonucleotide molecules have a non-specific antiviral activity that is not directly related to their antisense sequence.

Epitope mapping of mouse monoclonal antibodies to the ppUL83 lower matrix phosphoprotein of human cytomegalovirus

Of nine mouse monoclonal antibodies (MAbs) directed against the lower matrix protein (pp65; ppUL83) of human cytomegalovirus (HCMV), all immunoprecipitated the 65-kDa protein. Only five were reactive by Western blotting, however, and four of these mapped to linear antigenic epitopes located between amino acids 184-195 (MAb C6), 343-357 (MAb C11), 448-462 (MAb C5), and 448-459 (MAb C13). The epitope specificity of the fifth antibody (MAb C3) and the four that recognised nonlinear sites could not be determined. Competition binding studies using HCMV antigen extracted from productively infected human embryonic lung fibroblasts (HELF), in an enzyme immunoassay (EIA), showed that three of the antibodies reactive with linear epitopes and two of those reactive with conformational epitopes (MAbs C3, C6, C11, C14, and C18), were unique in their binding specificities. MAb C4 competed with MAb C8 and MAb C5 competed with MAb C13 for binding to ppUL83. One of the linear epitopes identified, corresponding to amino acids SAFVFPTKDVAL (MAb C6), was an epitope described previously for CD8+ cytotoxic T lymphocytes.

Case costing means, measuring and managing now! The journey traveled by a community hospital

Funding for health care in Ontario is moving from global funding to equity funding. In the future, hospitals will be reimbursed for how efficiently they care for their various patient populations. The Ontario Case Costing Project (OCCP) was a joint venture by the Ontario Hospital Association and the Ministry of Health. Incentive for participation in this project was based on the need to assess efficiencies in caring for patient populations in surgical suites and to obtain Canadian data. Case Costing has the potential to forecast budgets, identify variances and highlight areas for cost savings. Case Costing can also determine cost per surgeon, cost per service, cost per procedure. The nurses at Markham Stouffville Hospital are empowered to enhance the focus of their practice to include managing human resources, processes and materials. This enhanced focus in the Operating Room maximizes efficiency and effectiveness of processes, and allows the organization to provide better service. This article documents the journey and growth of perioperative nurses toward the destination of case costing. Key to this journey is not only the destination, but the growth and change that occurred and enabled perioperative nurses to effectively champion initiatives such as case costing. Opportunities and Threats, a One Page Plan and our recommended learnings will be shared.

Perinatal mortality and antenatal care

Perinatal mortality rates are higher in lower social classes. In terms of health, there is no evidence of disappearing social class differentials. Antenatal care has followed the same 'routine' for most of this century. Antenatal care does not meet the needs of those already disadvantaged. Effectiveness and efficiency of antenatal care are poorly researched and evaluated.

Serotype-specific and canine distemper virus cross-reactive H-2Kk-restricted cytotoxic T lymphocyte epitopes in the measles virus nucleoprotein

Immunization of C3H mice with a vaccinia virus (VV) recombinant expressing the measles virus (MV) nucleoprotein (NP) induces an H-2Kk-restricted cytotoxic T lymphocyte (CTL) response. With reference to the predicted peptide epitope motifs binding to this MHC class I molecule, we have used synthetic peptides derived from the primary sequence of the MV NP to establish the identity of the Kk-restricted CTL epitopes. Two octameric peptides, LDRLVRLI (aa 52-59) and VESPGQLI (aa 81-88) sensitized P815-Kk cells to lysis by MV NP-induced CTLs. In contrast to LDRLVRLI, the sequence VESPGQLI is also present in the primary sequence of the NP from the closely related canine distemper virus (CDV). In vitro stimulation of spleen cells from VV NP-immunized mice with the peptides showed that peptide VESPGQLI induced CTLs which could also lyse CDV-infected cells, whereas peptide LDRLVRLI could only lyse cells presenting the MV protein. Different concentrations of peptides were used, and the lysis efficiencies for both epitopes were shown to be of the same order. The value of predicative motifs for determining MHC class I CTL epitopes is discussed.

Antiandrogen action in the development of androgen insensitivity in S115 mouse mammary tumour cells

Endocrine therapy for steroid-sensitive tumours often involves administration of steroid antagonists which are designed to bind to the steroid receptor and block steroid action. However, the clinical problem remains the temporary nature of the tumour regression. Since in vitro models suggest that steroid ablation itself can result in loss of steroid sensitivity of tumour cells, these studies aimed to investigate the influence of the antiandrogen ICI 141,307 on this progression. This antiandrogen exhibits both agonist and antagonist actions on androgen-regulated cellular and molecular parameters of S115 mouse mammary tumour cells in culture. Its ability to regulate mouse mammary tumour virus (MMTV) RNA production in these cells confirms that the antiandrogen-receptor complex can not only bind to the steroid response element (SRE) in the MMTV DNA sequences but also activate gene transcription. Despite these molecular abilities of this antiandrogen, it was still unable to maintain androgen sensitivity in the long term. It was able to delay progression to insensitivity of the various steroid-regulated parameters, although the different parameters were delayed for different lengths of time, but ultimately the antiandrogen was unable to prevent loss of any parameters. It is thus concluded that the nature of the ligand is critical for maintenance of steroid sensitivity: only androgen and not antiandrogen will maintain long-term response. Previous molecular models for loss of steroid response suggest that it could result from inactivation of SRE in the genome when no receptor complex is bound. However, loss of response occurred in these experiments even in the presence of an activated receptor complex capable of binding to the SRE. Possible molecular mechanisms and the clinical implications are discussed.

The regulatory problems in estimating the toxicity of wood preservatives to bats

Bat populations in general are in decline and are protected under the UK Wildlife and Countryside Act, 1981. There is great concern about the effects of wood preservative treatments on (UK) bat populations. The ethics of using wild bats in tests have been questioned. Proposals are now being developed to use a mouse model. However, no laboratory test animal is likely to accurately reflect the metabolism and behaviour of bats which can be considered as atypical within the animal kingdom. English Nature has pioneered a Relative Toxicity Index (RTI) in order to predict the risks to bats from new and existing active ingredients in remedial timber treatments in the absence of toxicological testing on bats. This is based on the oral LD50 (rat) and assumes that rats and bats are equally sensitive to the same active ingredient in different formulations. Under the auspices of the UK Health and Safety Executive an expert group is developing and refining test methods in order to develop a realistic and reliable classification and labelling scheme for bats.