Percutaneous Stenting of a Stenotic Berlin Heart Outflow Cannula Graft in a 2 Year Old Child

Left ventricular assist device (LVAD) outflow obstruction is a rare complication of long-term LVAD support. We present the first case of successful percutaneous stent implantation in a pediatric patient with LVAD outflow obstruction.

Corrigendum: Tox21Enricher-Shiny: an R Shiny application for toxicity functional annotation analysis

[This corrects the article DOI: 10.3389/ftox.2023.1147608.].

A multi-site survey of providers on the management of heart failure with dilated cardiomyopathy in children

We conducted a scientific survey of paediatric practitioners who manage heart failure with dilated cardiomyopathy in children. The survey covered management from diagnosis to treatment to monitoring, totalling 63 questions. There were 54 respondents from 40 institutions and 3 countries. There were diverse selections of management options by the respondents in general, but also unanimity in some management options. Variation in practice is likely due to the relative paucity of scientific data in this field and lack of strong evidence-based recommendations from guidelines, which presents an opportunity for future research and quality improvement efforts as the evidence base continues to grow.

Tox21Enricher-Shiny: an R Shiny application for toxicity functional annotation analysis

Inference of toxicological and mechanistic properties of untested chemicals through structural or biological similarity is a commonly employed approach for initial chemical characterization and hypothesis generation. We previously developed a web-based application, Tox21Enricher-Grails, on the Grails framework that identifies enriched biological/toxicological properties of chemical sets for the purpose of inferring properties of untested chemicals within the set. It was able to detect significantly overrepresented biological (e.g., receptor binding), toxicological (e.g., carcinogenicity), and chemical (e.g., toxicologically relevant chemical substructures) annotations within sets of chemicals screened in the Tox21 platform. Here, we present an R Shiny application version of Tox21Enricher-Grails, Tox21Enricher-Shiny, with more robust features and updated annotations. Tox21Enricher-Shiny allows users to interact with the web application component (available at http://hurlab.med.und.edu/Tox21Enricher/) through a user-friendly graphical user interface or to directly access the application's functions through an application programming interface. This version now supports InChI strings as input in addition to CASRN and SMILES identifiers. Input chemicals that contain certain reactive functional groups (nitrile, aldehyde, epoxide, and isocyanate groups) may react with proteins in cell-based Tox21 assays: this could cause Tox21Enricher-Shiny to produce spurious enrichment analysis results. Therefore, this version of the application can now automatically detect and ignore such problematic chemicals in a user's input. The application also offers new data visualizations, and the architecture has been greatly simplified to allow for simple deployment, version control, and porting. The application may be deployed onto a Posit Connect or Shiny server, and it uses Postgres for database management. As other Tox21-related tools are being migrated to the R Shiny platform, the development of Tox21Enricher-Shiny is a logical transition to use R's strong data analysis and visualization capacities and to provide aesthetic and developmental consistency with other Tox21 applications developed by the Division of Translational Toxicology (DTT) at the National Institute of Environmental Health Sciences (NIEHS).

The teammate trial: Study design and rationale tacrolimus and everolimus against tacrolimus and MMF in pediatric heart transplantation using the major adverse transplant event (MATE) score

BACKGROUND

Currently there are no immunosuppression regimens FDA-approved to prevent rejection in pediatric heart transplantation (HT). In recent years, everolimus (EVL) has emerged as a potential alternative to standard tacrolimus (TAC) as the primary immunosuppressant to prevent rejection that may also reduce the risk of cardiac allograft vasculopathy (CAV), chronic kidney disease (CKD) and cytomegalovirus (CMV) infection. However, the 2 regimens have never been compared head-to-head in a randomized trial. The study design and rationale are reviewed in light of the challenges inherent in rare disease research.

METHODS

The TEAMMATE trial (IND 127980) is the first multicenter randomized clinical trial (RCT) in pediatric HT. The primary purpose is to evaluate the safety and efficacy of EVL and low-dose TAC (LD-TAC) compared to standard-dose TAC and mycophenolate mofetil (MMF). Children aged <21 years at HT were randomized (1:1 ratio) at 6 months post-HT to either regimen, and followed for 30 months. Children with recurrent rejection, multi-organ transplant recipients, and those with an estimated glomerular filtration rate (eGFR) <30 mL/min/1.73m² were excluded. The primary efficacy hypothesis is that, compared to TAC/MMF, EVL/LD-TAC is more effective in preventing 3 MATEs: acute cellular rejection (ACR), CKD and CAV. The primary safety hypothesis is that EVL/LD-TAC does not have a higher cumulative burden of 6 MATEs (antibody mediated rejection [AMR], infection, and post-transplant lymphoproliferative disorder [PTLD] in addition to the 3 above). The primary endpoint is the MATE score, a composite, ordinal surrogate endpoint reflecting the frequency and severity of MATEs that is validated against graft loss. The study had a target sample size of 210 patients across 25 sites and is powered to demonstrate superior efficacy of EVL/LD-TAC. Trial enrollment is complete and participant follow-up will be completed in 2023.

CONCLUSION

The TEAMMATE trial is the first multicenter RCT in pediatric HT. It is anticipated that the study will provide important information about the safety and efficacy of everolimus vs tacrolimus-based regimens and will provide valuable lessons into the design and conduct of future trials in pediatric HT.

Race and Socioeconomic Bias in Pediatric Cardiac Transplantation

BACKGROUND

To date, no studies evaluated implicit bias among clinicians caring for children with advanced heart failure.

OBJECTIVES

This study aims to evaluate implicit racial and socioeconomic bias among pediatric heart transplant clinicians.

METHODS

A cross-sectional survey of transplant clinicians from the Pediatric Heart Transplant Society was conducted between June and August 2021. The survey consisted of demographic questions along with explicit and validated race and socioeconomic status (SES) implicit association tests (IATs). Implicit and explicit biases among survey group members were studied and associations were tested between implicit and explicit measures.

RESULTS

Of 500 members, 91 (18.2%) individuals completed the race IAT and 70 (14%) completed the SES IAT. Race IAT scores indicated moderate levels of implicit bias (mean = 0.33, d = 0.76; P < 0.001; ie, preference for White individuals). SES IAT scores indicated strong implicit bias (mean = 0.52, d = 1.53; P < 0.001; ie, preference for people from upper SES). There were weak levels of explicit race and wealth bias. There was a strong level of explicit education bias (mean = 5.22, d = 1.19; P < 0.001; ie, preference for educated people). There were nonsignificant correlations between the race and the SES IAT and explicit measures (P > 0.05 for all).

CONCLUSIONS

As observed across other health care disciplines, among a group of pediatric heart transplant clinicians, there is an implicit preference for individuals who are White and from higher SES, and an explicit preference for educated people. Future studies should evaluate how implicit biases affect clinician behavior and assess the impact of efforts to reduce such biases.

Clinical approach to vasoplegia in the transplant patient from the Pediatric Heart Transplant Society

This manuscript outlines a clinical approach to vasoplegia incorporating the current state of knowledge regarding vasoplegia in pediatric patients immediately post-transplant and to identify modifiable factors both pre- and post-transplant that may reduce post-operative morbidity, end-organ dysfunction, and mortality. Centers participating in the Pediatric Heart Transplant Society (PHTS) were asked to provide their internal protocols and rationale for vasoplegia management, and applicable adult and pediatric data were reviewed. The authors synthesized the above protocols and literature into the following description of clinical approaches to vasoplegia highlighting areas of both broad consensus and of significant practice variation.

Pressure-Strain Loops, a Novel Non-invasive Approach for Assessment of Children with Cardiomyopathy

Non-invasive myocardial work (MW) by left ventricular (LV) pressure-strain loops (PSL) is a novel method for assessing myocardial function while adjusting for afterload, yet pediatric data remain lacking. The aims of this study were to investigate the different patterns of LV PSL and non-invasive MW in pediatric patients with hypertrophic (HCM) and dilated cardiomyopathy (DCM) and their association with exercise tolerance. We included 110 pediatric subjects (mean age, 13 ± 4 years, 35 DCM, 40 HCM, and 35 healthy controls). Standard and speckle-tracking echocardiography were performed. LV PSLs were generated, and global work index (GWI), MW efficiency (GWE), constructive work (GCW), and wasted work (GWW) were compared between groups. Regression analysis was used to assess the influence of ventricular function, dimensions, wall thickness, and wall stress on MW and to predict the association between MW and VO2 max as a surrogate of exercise capacity. Patients with DCM had significantly lower GWI compared to controls (GWI 479.6 ± 263.0 vs 1610.1 ± 211.0, P < 0.005). GWE was significantly reduced in DCM (79.3 ± 7.9 vs 95.2 ± 1.3, P < 0.005) due to significantly reduced GCW and increased GWW. HCM patients had significant reduction in GWI and GWE from normal (1237.7 ± 449.1 vs 1610.1 ± 211.0, P = 0.001 and 89.6 ± 4.9 vs 95.2 ± 1.3, P < 0.005, respectively), although less severe than with DCM. In a multivariate regression analysis, GWE had the highest association with VO2 max in both cohorts (DCM: β = 0.68, P = 0.001, HCM: β = 0.71, P = 0.007). Non-invasively assessed myocardial work and LV PSLs provide novel insights into the mechanisms of dysfunction in pediatric patients with cardiomyopathy with good prediction of clinical status and thus hold promise to further explore myocardial mechanistic with clinical relevance in different disease entities.

Learning from each other: The hidden benefit of practice variation

It has long been recognized that there is significant variation in the way that centers approach clinical management and problems within pediatric transplantation. This has recently been highlighted in two publications by the PHTS showing practice variation in both surveillance for cardiac allograft vasculopathy and diagnosis of acute rejection. These differences in practice are important to recognize and serve as the foundation for collaborative learning, developing research questions, and implementing quality improvement initiatives. To further understand the practice variation within the society, and to begin the process of learning from each other, the society has developed a Clinical Approach Working Group, whose task is to tackle issues seen in transplant and integrate current literature with clinical protocols and experience from the individual sites. The early work of this group has results in the series of Clinical approach articles presented in this issue of Pediatric Transplantation.

A Collaborative Initiative to Establish Genomic Biomarkers for Assessing Tumorigenic Potential to Reduce Reliance on Conventional Rodent Carcinogenicity Studies

There is growing recognition across broad sectors of the scientific community that use of genomic biomarkers has the potential to reduce the need for conventional rodent carcinogenicity studies of industrial chemicals, agrochemicals, and pharmaceuticals through a weight-of-evidence approach. These biomarkers fall into 2 major categories: (1) sets of gene transcripts that can identify distinct tumorigenic mechanisms of action; and (2) cancer driver gene mutations indicative of rapidly expanding growth-advantaged clonal cell populations. This call-to-action article describes a collaborative approach launched to develop and qualify biomarker gene expression panels that measure widely accepted molecular pathways linked to tumorigenesis and their activation levels to predict tumorigenic doses of chemicals from short-term exposures. Growing evidence suggests that application of such biomarker panels in short-term exposure rodent studies can identify both tumorigenic hazard and tumorigenic activation levels for chemical-induced carcinogenicity. In the future, this approach will be expanded to include methodologies examining mutations in key cancer driver gene mutation hotspots as biomarkers of both genotoxic and nongenotoxic chemical tumor risk. Analytical, technical, and biological validation studies of these complementary genomic tools are being undertaken by multisector and multidisciplinary collaborative teams within the Health and Environmental Sciences Institute. Success from these efforts will facilitate the transition from current heavy reliance on conventional 2-year rodent carcinogenicity studies to more rapid animal- and resource-sparing approaches for mechanism-based carcinogenicity evaluation supporting internal and regulatory decision-making.

In silico approaches in organ toxicity hazard assessment: current status and future needs in predicting liver toxicity

Hepatotoxicity is one of the most frequently observed adverse effects resulting from exposure to a xenobiotic. For example, in pharmaceutical research and development it is one of the major reasons for drug withdrawals, clinical failures, and discontinuation of drug candidates. The development of faster and cheaper methods to assess hepatotoxicity that are both more sustainable and more informative is critically needed. The biological mechanisms and processes underpinning hepatotoxicity are summarized and experimental approaches to support the prediction of hepatotoxicity are described, including toxicokinetic considerations. The paper describes the increasingly important role of in silico approaches and highlights challenges to the adoption of these methods including the lack of a commonly agreed upon protocol for performing such an assessment and the need for in silico solutions that take dose into consideration. A proposed framework for the integration of in silico and experimental information is provided along with a case study describing how computational methods have been used to successfully respond to a regulatory question concerning non-genotoxic impurities in chemically synthesized pharmaceuticals.

Coronary Artery Reimplantation and Berlin Heart EXCOR Rescue for Left Coronary Artery Atresia With Severe Ischemic Cardiomyopathy

We describe a successful bridge to recovery by coronary reimplantation and Berlin Heart EXCOR left ventricular assist device in a child with left main coronary artery ostial atresia and severe ischemic cardiomyopathy.

The impact of psychiatric disorders on outcomes following heart transplantation in children

Psychiatric disorders are common in pediatric HTx recipients. However, the impact of psychiatric comorbidities on patient outcomes is unknown. We aimed to assess the impact of disorders of adjustment, depression, and anxiety on HTx outcomes in children; hypothesizing that the presence of psychiatric disorders during or preceding HTx would negatively impact outcomes. All pediatric HTx recipients ≥8 years of age who survived to hospital discharge were identified from a novel linkage between the PHIS and SRTR databases (2002-2016). Psychiatric disorders were identified using ICD codes during or preceding the HTx admission. Post-transplant graft survival, freedom from readmission, and freedom from rejection were analyzed using the Kaplan-Meier method. Multivariable Cox proportional hazard models were used to adjust for covariates. A total of 1192 patients were included, of which 133 (11.2%) had depression, 197 (16.5%) had anxiety, and 218 (18.3%) had adjustment disorders. The presence of depression was independently associated with higher rates of readmission (60.9% vs 54.1% at 6 months) (AHR 1.63, 95% CI 1.22-2.18, P = .001) and inferior graft survival (70.2% vs 83.4% at 5 years) (AHR 1.62, 95% CI 1.14-2.3, P = .007). Anxiety was independently associated with higher rates of readmission (60.4% vs 53.9% at 6 months) (AHR 1.46, 95% CI 1.09-1.94, P = .01). Anxiety and depression in the pretransplant period are independently associated with outcomes following HTx in children. Evaluation and management of psychiatric comorbidities represents an important component of care in this vulnerable population.

Utility of Extrapolating Human S1500+ Genes to the Whole Transcriptome: Tunicamycin Case Study

The TempO-Seq S1500+ platform(s), now available for human, mouse, rat, and zebrafish, measures a discrete number of genes that are representative of biological and pathway co-regulation across the entire genome in a given species. While measurement of these genes alone provides a direct assessment of gene expression activity, extrapolating expression values to the whole transcriptome (~26 000 genes in humans) can estimate measurements of non-measured genes of interest and increases the power of pathway analysis algorithms by using a larger background gene expression space. Here, we use data from primary hepatocytes of 54 donors that were treated with the endoplasmic reticulum (ER) stress inducer tunicamycin and then measured on the human S1500+ platform containing ~3000 representative genes. Measurements for the S1500+ genes were then used to extrapolate expression values for the remaining human transcriptome. As a case study of the improved downstream analysis achieved by extrapolation, the “measured only” and “whole transcriptome” (measured + extrapolated) gene sets were compared. Extrapolation increased the number of significant genes by 49%, bringing to the forefront many that are known to be associated with tunicamycin exposure. The extrapolation procedure also correctly identified established tunicamycin-related functional pathways reflected by coordinated changes in interrelated genes while maintaining the sample variability observed from the “measured only” genes. Extrapolation improved the gene- and pathway-level biological interpretations for a variety of downstream applications, including differential expression analysis, gene set enrichment pathway analysis, DAVID keyword analysis, Ingenuity Pathway Analysis, and NextBio correlated compound analysis. The extrapolated data highlight the role of metabolism/metabolic pathways, the ER, immune response, and the unfolded protein response, each of which are key activities associated with tunicamycin exposure that were unrepresented or underrepresented in one or more of the analyses of the original “measured only” dataset. Furthermore, the inclusion of the extrapolated genes raised “tunicamycin” from third to first upstream regulator in Ingenuity Pathway Analysis and from sixth to second most correlated compound in NextBio analysis. Therefore, our case study suggests an approach to extend and enhance data from the S1500+ platform for improved insight into biological mechanisms and functional outcomes of diseases, drugs, and other perturbations.

Learning from history: do not flatten the curve of antiviral research!

Here, we explore the dynamics of the response of the scientific community to several epidemics, including Coronavirus Disease 2019 (COVID-19), as assessed by the numbers of clinical trials, publications, and level of research funding over time. All six prior epidemics studied [bird flu, severe acute respiratory syndrome (SARS), swine flu, Middle East Respiratory Syndrome (MERS), Ebola, and Zika] were characterized by an initial spike of research response that flattened shortly thereafter. Unfortunately, no antiviral medications have been discovered to date as treatments for any of these diseases. By contrast, the HIV/AIDS pandemic has garnered consistent research investment since it began and resulted in drugs being developed within 7 years of its start date, with many more to follow. We argue that, to develop effective treatments for COVID-19 and be prepared for future epidemics, long-term, consistent investment in antiviral research is needed.

QSAR Modeling of SARS-CoV Mpro Inhibitors Identifies Sufugolix, Cenicriviroc, Proglumetacin, and other Drugs as Candidates for Repurposing against SARS-CoV-2

The main protease (M^pro) of the SARS-CoV-2 has been proposed as one of the major drug targets for COVID-19. We have identified the experimental data on the inhibitory activity of compounds tested against the closely related (96 % sequence identity, 100 % active site conservation) M^pro of SARS-CoV. We developed QSAR models of these inhibitors and employed these models for virtual screening of all drugs in the DrugBank database. Similarity searching and molecular docking were explored in parallel, but docking failed to correctly discriminate between experimentally active and inactive compounds, so it was not relied upon for prospective virtual screening. Forty-two compounds were identified by our models as consensus computational hits. Subsequent to our computational studies, NCATS reported the results of experimental screening of their drug collection in SARS-CoV-2 cytopathic effect assay (https://opendata.ncats.nih.gov/covid19/). Coincidentally, NCATS tested 11 of our 42 hits, and three of them, cenicriviroc (AC₅₀ of 8.9 μM), proglumetacin (tested twice independently, with AC₅₀ of 8.9 μM and 12.5 μM), and sufugolix (AC₅₀ 12.6 μM), were shown to be active. These observations support the value of our modeling approaches and models for guiding the experimental investigations of putative anti-COVID-19 drug candidates. All data and models used in this study are publicly available via Supplementary Materials, GitHub (https://github.com/alvesvm/sars-cov-mpro), and Chembench web portal (https://chembench.mml.unc.edu/).

Computational Models Identify Several FDA Approved or Experimental Drugs as Putative Agents Against SARS-CoV-2

The outbreak of a novel human coronavirus (SARS-CoV-2) has evolved into global health emergency, infecting hundreds of thousands of people worldwide. We have identified experimental data on the inhibitory activity of compounds tested against closely related (96% sequence identity, 100% active site conservation) protease of SARS-CoV and employed this data to build QSAR models for this dataset. We employed these models for virtual screening of all drugs from DrugBank, including compounds in clinical trials. Molecular docking and similarity search approaches were explored in parallel with QSAR modeling, but molecular docking failed to correctly discriminate between experimentally active and inactive compounds. As a result of our studies, we recommended 41 approved, experimental, or investigational drugs as potential agents against SARS-CoV-2 acting as putative inhibitors of Mpro. Ten compounds with feasible prices were purchased and are awaiting the experimental validation.
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Disorders of Adjustment, Mood, and Anxiety in Children and Adolescents Undergoing Heart Transplantation and the Association of Ventricular Assist Device Support

OBJECTIVE

To assess the prevalence of psychiatric disorders and associated therapies in children during their heart transplantation admission.

STUDY DESIGN

All pediatric heart transplant recipients (1999-2016) were included from a linked administrative and clinical registry database. Psychiatric disorders and associated therapies were identified using International Classification of Diseases or billing codes during the transplant admission. Data were analyzed using standard descriptive statistics. Multivariable logistic regression assessed factors independently associated with psychiatric disorders or therapies.

RESULTS

A total of 3073 pediatric heart transplant recipients were included. Psychiatric disorders were present in 434 (14.1%) patients during the heart transplant admission, with adjustment disorders being the most common. Antidepressant therapy was prescribed to 212 patients (6.9%) and selective serotonin reuptake inhibitors were most commonly used. Psychiatric diagnoses (8.4% vs 18.1%; P < .001) and the use of antidepressants (4.5% vs 8.9%; P < .001) increased over time (era 1, 1999-2009 vs era 2, 2010-2016). Psychiatric disorders were present in 39.8% of patients ≥8 years of age requiring ventricular assist device support at heart transplantation. The need for ventricular assist device support was independently associated with psychiatric diagnoses (aOR, 1.57; 95% CI, 1.18-2.1; P = .002) and antidepressant therapy (aOR, 2.11; 95% CI. 1.43-3.12; P < .001).

CONCLUSIONS

Psychiatric disorders are common in pediatric heart transplant recipients, especially among those bridged with ventricular assist device support. Psychiatric diagnoses and the use of antidepressants has increased over time, likely representing improved recognition of psychiatric comorbidities in this vulnerable population. Access to psychiatric services represents an important component of the multidisciplinary team caring for pediatric heart transplant recipients.