Ligandability Assessment of IL-1ß by Integrated Hit Identification Approaches.

Human interleukin-1ß (IL-1ß) is a pro-inflammatory cytokine that plays a critical role in the regulation of the immune response and the development of various inflammatory diseases. In this publication, we disclose our efforts toward the discovery of IL-1ß binders that interfere with IL-1ß signaling. To this end, several technologies were used in parallel, including fragment-based screening (FBS), DNA-encoded library (DEL) technology, peptide discovery platform (PDP), and virtual screening. The utilization of distinct technologies resulted in the identification of new chemical entities exploiting three different sites on IL-1ß, all of them also inhibiting the interaction with the IL-1R1 receptor. Moreover, we identified lysine 103 of IL-1ß as a target residue suitable for the development of covalent, low-molecular-weight IL-1ß antagonists.

Anti-Asian Hate and the Health of Older Asian Individuals.

This qualitative study assesses the association of anti-Asian hate with older Asian individuals' health and the clinician's role in addressing hate incidents.

Comparing natural language processing representations of coded disease sequences for prediction in electronic health records.

OBJECTIVE: Natural language processing (NLP) algorithms are increasingly being applied to obtain unsupervised representations of electronic health record (EHR) data, but their comparative performance at predicting clinical endpoints remains unclear. Our objective was to compare the performance of unsupervised representations of sequences of disease codes generated by bag-of-words versus sequence-based NLP algorithms at predicting clinically relevant outcomes. MATERIALS AND METHODS: This cohort study used primary care EHRs from 6 286 233 people with Multiple Long-Term Conditions in England. For each patient, an unsupervised vector representation of their time-ordered sequences of diseases was generated using 2 input strategies (212 disease categories versus 9462 diagnostic codes) and different NLP algorithms (Latent Dirichlet Allocation, doc2vec, and 2 transformer models designed for EHRs). We also developed a transformer architecture, named EHR-BERT, incorporating sociodemographic information. We compared the performance of each of these representations (without fine-tuning) as inputs into a logistic classifier to predict 1-year mortality, healthcare use, and new disease diagnosis. RESULTS: Patient representations generated by sequence-based algorithms performed consistently better than bag-of-words methods in predicting clinical endpoints, with the highest performance for EHR-BERT across all tasks, although the absolute improvement was small. Representations generated using disease categories perform similarly to those using diagnostic codes as inputs, suggesting models can equally manage smaller or larger vocabularies for prediction of these outcomes. DISCUSSION AND CONCLUSION: Patient representations produced by sequence-based NLP algorithms from sequences of disease codes demonstrate improved predictive content for patient outcomes compared with representations generated by co-occurrence-based algorithms. This suggests transformer models may be useful for generating multi-purpose representations, even without fine-tuning.

Inflammation in aortic surgery: postoperative evolution of biomarkers according pathologies and segments of the aorta.

OBJECTIVES: Aortic pathologies often present with elevated inflammatory biomarkers due to the nature of the disease. Open aortic surgery causes significant trauma to the body due to often mandatory ischemic periods, long cardiopulmonary bypass times and polytransfusion. We aim to determine postoperative trends on inflammation biomarkers for different aortic pathologies and type of surgery in different segments of the aorta. METHODS: Retrospective review of prospectively collected data of 193 consecutive patients who underwent aortic surgery in our centre between 2017 and 2021, grouped according to the type of aortic intervention: (1) Type A aortic dissection (AD) repair with ascending aorta/hemiarch replacement, (2) Aortic root replacement (ARR), (3) Aortic arch + Frozen elephant trunk (FET), (4) Descending thoracic aorta (DTA)/Thoraco-Abdominal aortic repair (TAA). Primary outcomes were daily values of white blood cells (WBC) and C-Reactive Protein (CRP) during the first 15 postoperative days. RESULTS: All groups had a similar inflammatory peak in the first 2-4 days (WBC 12-15 × 109 c/L). AD and FET groups show similar trends with WBC and CRP peaks on days 2 and 10. The ARR group didn't experience the 2nd peak as most patients were already discharged. DTA/TAA patients experienced a more prolonged inflammatory response, reaching a plateau by day 5-10. AD group shows the highest WBC levels and the DTA/TAAA group the highest CRP levels. CRP levels remain elevated (100-200 mg/L) in all groups after 15 postoperative days. CONCLUSIONS: Inflammatory biomarkers show different postoperative trends depending on the clinical presentation and complexity of the aortic procedure performed. Further understanding of the inflammatory response to different aortic pathologies and surgical procedures will permit reduction on the liberal use of antibiotics that this cohort of patients are usually exposed to. An earlier version of the data included in this manuscript was presented as Oral Abstract in the UK Society of Cardiothoracic Surgery Annual meeting in 2021.

Post-stroke diabetes management: a qualitative study.

Introduction: Diabetes is associated with an increased risk of stroke. In many cases, a diabetes diagnosis may predate a stroke; however, diabetes is often diagnosed during the hospital admission following a stroke. To explore the experiences of stroke survivors as they cope with a new diabetes diagnosis, particularly regarding developing an effective strategy for managing the disease. Methods: A qualitative grounded theory approach was used that employed focus group interviews with participants, including clinicians and stroke survivors, to develop a holistic understanding of primary and secondary stroke care services and the experiences of those accessing them. Results: Clinicians believed they were not optimally equipped to manage diabetes as a condition. They believed more emphasis should be placed on self-management, which would be better managed by lifestyle changes than medication alone. Conversely, stroke survivors with diabetes experienced an additional burden associated with the diagnoses but relied on clinicians to manage their diabetes and believed the clinicians were failing if they were unwilling or unable to achieve this. Discussion: The research highlights the tensions between stroke survivors and healthcare professionals. Stroke survivors relied on the healthcare teams to provide the optimal treatment when they had recently undergone a significant health event where they had experienced a stroke and received a diabetes diagnosis. However, the healthcare teams, while recognizing the importance of a holistic and comprehensive treatment package, struggled to provide it due to resource limitations. To optimize post-stroke diabetes self-management education, a strategic framework that prioritizes patient empowerment and interdisciplinary collaboration is paramount. Tailoring educational interventions to align with individual patient profiles-considering their unique health status, personal preferences, and cultural context-is essential for fostering self-efficacy. Such a strategy not only empowers patients to take an active role in managing their diabetes post-stroke but also contributes to superior health outcomes and an elevated standard of living.

Suillus: an emerging model for the study of ectomycorrhizal ecology and evolution.

Research on mycorrhizal symbiosis has been slowed by a lack of established study systems. To address this challenge, we have been developing Suillus, a widespread ecologically and economically relevant fungal genus primarily associated with the plant family Pinaceae, into a model system for studying ectomycorrhizal (ECM) associations. Over the last decade, we have compiled extensive genomic resources, culture libraries, a phenotype database, and protocols for manipulating Suillus fungi with and without their tree partners. Our efforts have already resulted in a large number of publicly available genomes, transcriptomes, and respective annotations, as well as advances in our understanding of mycorrhizal partner specificity and host communication, fungal and plant nutrition, environmental adaptation, soil nutrient cycling, interspecific competition, and biological invasions. Here, we highlight the most significant recent findings enabled by Suillus, present a suite of protocols for working with the genus, and discuss how Suillus is emerging as an important model to elucidate the ecology and evolution of ECM interactions.

"Relationships, Very Quickly, Turn to Nothing": Loneliness, Social Isolation, and Adaptation to Changing Social Lives Among Persons Living With Dementia and Care Partners.

BACKGROUND AND OBJECTIVES: Persons with dementia and their care partners have known risks for loneliness and social isolation throughout the disease trajectory, yet little is described about social lives in a population heterogeneous for disease stage, syndrome type, and setting. RESEARCH DESIGN AND METHODS: We conducted a secondary analysis of qualitative interviews from multiple studies to triangulate responses from a cohort of persons with dementia (n = 24), and active (n = 33) or bereaved (n = 15) care partners diverse in setting, dementia type and stage, and life experience. Interviews explored challenges related to social lives and were analyzed thematically. RESULTS: Persons with dementia were on average 80 years old (range: 67-94), 38% female, and 78% diagnosed with Alzheimer's dementia; care partners were on average 67 years old (range: 40-87) and 69% female. We identified 3 primary themes. First, dyads lost external social networks due to complex factors, including discomfort of surrounding social networks, caregiving responsibilities, and progressive cognitive deficits. Second, care partners described disruptions of meaningful dyadic relationships due to progressive cognitive and functional deficits, leading to loneliness and anticipatory grief. Third, adaptive strategies centered on care partners facilitating shared social activities and programs addressing caregiver burden. An overarching theme of disease-course accumulation of barriers to social interactions and constant adaptations was present in all themes. DISCUSSION AND IMPLICATIONS: Isolation and loneliness are a shared experience and source of distress for persons with dementia and care partners. Results can inform interventions tailored to individual needs and disease stages of dyads that enhance social connectedness.

A protocol for isolation and culturing of mouse primary postmitotic photoreceptors and isolation of extracellular vesicles.

Here, we present a protocol for isolating and culturing mouse photoreceptors in a minimal, chemically defined medium free from serum. We describe steps for retina dissection, enzymatic dissociation, photoreceptor enrichment, cell culture, extracellular vesicles (EVs) enrichment, and EV ultrastructural analysis. This protocol, which has been verified for cultured cells derived from multiple murine strains, allows for the study of several aspects of photoreceptor biology, including EV isolation and nanotube formation. For complete details on the use and execution of this protocol, please refer to Kalargyrou et al. (2021).1.

World Psychiatric Association-Asian Journal of Psychiatry Commission on the Mental Health and Wellbeing of International Medical Graduates.

Historically, doctors have migrated for a range of personal, educational, economic, and political reasons. Likewise, medical students from many countries have moved abroad to complete their training and education and may or may not return to their country of origin. Within this context, globalisation has had a major impact on medical education and healthcare workforces, contributing to recent migration trends. Globalisation is a complex phenomenon with positive and negative outcomes. For example, lower-income countries are regularly losing doctors to higher-income areas, thereby exacerbating strains on existing services. Across various national healthcare settings, migrating International Medical Graduates (IMGs) can face socioenvironmental and psychosocial pressures, which can lead to lower mental wellbeing and undermine their contributions to clinical care. Rates of stress and burnout are generally increasing for doctors and medical students. For IMGs, stressors related to migration, acculturation, and adjustment are not dissimilar to other migrants but may carry with them specific nuances. Accordingly, this Commission will explore the history of IMG trends and the challenges faced by IMGs, proposing recommendations and solutions to support their mental health and wellbeing.

Long-term cognitive outcome after elective hip or knee total joint arthroplasty: A population-based observational study.

BACKGROUND: One year after elective hip or knee total joint arthroplasty (TJA), >30% of older adults meet criteria for postoperative neurocognitive disorder. However, this is not contextualized with long-term cognitive outcomes in comparable surgical and nonsurgical controls. We analyzed population-based data to compare long-term cognitive outcomes in older adults after TJA, other surgeries, and with and without arthritis pain. METHODS: This was a retrospective observational analysis of United States older adults in the Health and Retirement Study (HRS) who underwent elective TJA, or elective surgery without expected functional benefits (e.g., cholecystectomy; inguinal herniorrhaphy), between 1998 and 2018 at aged 65 or older. TJA recipients were also age- and sex-matched to nonsurgical controls who reported moderate-severe arthritic pain or denied pain, so that comparison groups included surgical and nonsurgical (pain-suffering and pain-free) controls. We modeled biennially-assessed memory performance, a measure of direct and proxy cognitive assessments, before and after surgery, normalized to the rate of memory decline ("cognitive aging") in controls to express effect size estimates as excess, or fewer, months of memory decline. We used linear mixed effects models adjusted for preoperative health and demographic factors, including frailty, flexibly capturing time before/after surgery (knots at -4, 0, 8 years; discontinuity at surgery). RESULTS: There were 1947 TJA recipients (average age 74; 63% women; 1358 knee, 589 hip) and 1631 surgical controls (average age 76; 38% women). Memory decline 3 years after TJA was similar to surgical controls (5.2 [95% confidence interval, CI -1.2 to 11.5] months less memory decline in the TJA group, p = 0.11) and nonsurgical controls. At 5 years, TJA recipients experienced 5.0 [95% CI -0.9 to 10.9] months less memory decline than arthritic pain nonsurgical controls. CONCLUSION: There is no systematic accelerated memory decline at 3 years after TJA compared with surgical or nonsurgical controls.

Pioglitazone and barriers to effective post-stroke comorbidity management in stroke survivors with diabetes.

OBJECTIVES: To explore the barriers preventing pioglitazone use in stroke survivors and primary and secondary stroke care services. METHODS: A qualitative grounded theory approached design was used to assess post-stroke diabetes treatments and to assess clinical applicability of pioglitazone as a preventive treatment to minimize its side effects (SEs) associated. Three focus groups were established with 48 participants from Scotland and Wales health board centers during January 2019 to July 2022. RESULTS: A qualitative grounded theory approached design was used to assess post-stroke diabetes treatments and to assess clinical applicability of pioglitazone as a preventive treatment to minimize its SEs associated. Three focus groups were established with 48 participants from Scotland and Wales health board centers during January 2019 to July 2022. CONCLUSION: These strategies might allow greater treatment adherence by stroke survivors and increased confidence of the health care professionals in their practice. The findings suggest that further research will be needed to facilitate wider usage of pioglitazone in treating people with stroke and health education is necessitate when using diabetes drugs post-stroke.

Liberation of host heme by Clostridioides difficile-mediated damage enhances Enterococcus faecalis fitness during infection.

IMPORTANCE: Clostridioides difficile and Enterococcus faecalis are two pathogens of great public health importance. Both bacteria colonize the human gastrointestinal tract where they are known to interact in ways that worsen disease outcomes. We show that the damage associated with C. difficile infection (CDI) releases nutrients that benefit E. faecalis. One particular nutrient, heme, allows E. faecalis to use oxygen to generate energy and grow better in the gut. Understanding the mechanisms of these interspecies interactions could inform therapeutic strategies for CDI.