Research Priorities in Pediatric Asthma Morbidity: Addressing the Impacts of Systemic Racism on Children with Asthma in the United States. An Official American Thoracic Society Workshop Report.

In the United States, Black and Latino children with asthma are more likely than White children with asthma to require emergency department visits or hospitalizations because of an asthma exacerbation. Although many cite patient-level socioeconomic status and access to health care as primary drivers of disparities, there is an emerging focus on a major root cause of disparities-systemic racism. Current conceptual models of asthma disparities depict the historical and current effects of systemic racism as the foundation for unequal exposures to social determinants of health, environmental exposures, epigenetic factors, and differential healthcare access and quality.

Pain, No Gain?: A Narrative Analysis Exploring the Accounts of Older African American Patients and Their Discussion of Pain Management Related to Chronic Illness.

Drawing from interviews conducted as part of a study of older African Americans with multimorbidity, we argue how various forms of racism work together to shape communication between doctors and patients. By focusing on what patients say about pain, we highlight patient descriptions of their relationships with pain management, their interactions with healthcare providers, and how they navigate understanding their chronic conditions. Our documentation of patient experience with stigmas and biases suggests what is needed for more empathetic and effective communication within the doctor and patient relationship.

Ubiquitin Chains Bearing Genetically Encoded Photo-Cross-Linkers Enable Efficient Covalent Capture of (Poly)ubiquitin-Binding Domains.

Ubiquitin-mediated signaling pathways regulate essentially every aspect of cell biology in eukaryotes. Ubiquitin receptors typically contain ubiquitin-binding domains (UBDs) that have the ability to recognize monomeric ubiquitin (Ub) and polymeric Ub (polyUb) chains. However, how signaling specificity is achieved remains poorly understood, and many of the UBDs that selectively recognize polyUb chains of particular linkages still need to be identified and characterized.

Current Perspectives on High-Throughput Sequencing (HTS) for Adventitious Virus Detection: Upstream Sample Processing and Library Preparation.

A key step for broad viral detection using high-throughput sequencing (HTS) is optimizing the sample preparation strategy for extracting viral-specific nucleic acids since viral genomes are diverse: They can be single-stranded or double-stranded RNA or DNA, and can vary from a few thousand bases to over millions of bases, which might introduce biases during nucleic acid extraction. In addition, viral particles can be enveloped or non-enveloped with variable resistance to pre-treatment, which may influence their susceptibility to extraction procedures. Since the identity of the potential adventitious agents is unknown prior to their detection, efficient sample preparation should be unbiased toward all different viral types in order to maximize the probability of detecting any potential adventitious viruses using HTS.

Considerations for Optimization of High-Throughput Sequencing Bioinformatics Pipelines for Virus Detection.

High-throughput sequencing (HTS) has demonstrated capabilities for broad virus detection based upon discovery of known and novel viruses in a variety of samples, including clinical, environmental, and biological. An important goal for HTS applications in biologics is to establish parameter settings that can afford adequate sensitivity at an acceptable computational cost (computation time, computer memory, storage, expense or/and efficiency), at critical steps in the bioinformatics pipeline, including initial data quality assessment, trimming/cleaning, and assembly (to reduce data volume and increase likelihood of appropriate sequence identification). Additionally, the quality and reliability of the results depend on the availability of a complete and curated viral database for obtaining accurate results; selection of sequence alignment programs and their configuration, that retains specificity for broad virus detection with reduced false-positive signals; removal of host sequences without loss of endogenous viral sequences of interest; and use of a meaningful reporting format, which can retain critical information of the analysis for presentation of readily interpretable data and actionable results.