ILC2-derived LIF licences progress from tissue to systemic immunity.

Migration and homing of immune cells are critical for immune surveillance. Trafficking is mediated by combinations of adhesion and chemokine receptors that guide immune cells, in response to chemokine signals, to specific locations within tissues and the lymphatic system to support tissue-localized immune reactions and systemic immunity1,2. Here we show that disruption of leukaemia inhibitory factor (LIF) production from group 2 innate lymphoid cells (ILC2s) prevents immune cells leaving the lungs to migrate to the lymph nodes (LNs). In the absence of LIF, viral infection leads to plasmacytoid dendritic cells (pDCs) becoming retained in the lungs where they improve tissue-localized, antiviral immunity, whereas chronic pulmonary allergen challenge leads to marked immune cell accumulation and the formation of tertiary lymphoid structures in the lung. In both cases immune cells fail to migrate to the lymphatics, leading to highly compromised LN reactions. Mechanistically, ILC2-derived LIF induces the production of the chemokine CCL21 from lymphatic endothelial cells lining the pulmonary lymphatic vessels, thus licensing the homing of CCR7+ immune cells (including dendritic cells) to LNs. Consequently, ILC2-derived LIF dictates the egress of immune cells from the lungs to regulate tissue-localized versus systemic immunity and the balance between allergen and viral responsiveness in the lungs.

A prospective evaluation of the prostate microbiome in malignant and benign tissue using transperineal biopsy.

BACKGROUND: The link between the prostate microbiome and prostate cancer remains unclear. Few studies have analyzed the microbiota of prostate tissue, and these have been limited by potential contamination by transrectal biopsy. Transperineal prostate biopsy offers an alternative and avoids fecal cross-contamination. We aim to characterize the prostate microbiome using transperineal biopsy. METHODS: Patients with clinical suspicion for prostate cancer who were to undergo transperineal prostate biopsy with magnetic resonance imaging (MRI) fusion guidance were prospectively enrolled from 2022 to 2023. Patients were excluded if they had Prostate Imaging Reporting and Data System lesions with scores ≤ 3, a history of prostate biopsy within 1 year, a history of prostate cancer, or antibiotic use within 30 days of biopsy. Tissue was collected from the MRI target lesions and nonneoplastic transitional zone. Bacteria were identified using 16S ribosomal RNA gene sequencing. RESULTS: Across the 42 patients, 76% were found to have prostate cancer. Beta diversity indices differed significantly between the perineum, voided urine, and prostate tissue. There were no beta diversity differences between cancerous or benign tissue, or between pre- and postbiopsy urines. There appear to be unique genera more abundant in cancerous versus benign tissue. There were no differences in alpha diversity indices relative to clinical findings including cancer status, grade, and risk group. CONCLUSIONS: We demonstrate a rigorous method to better characterize the prostate microbiome using transperineal biopsy and to limit contamination. These findings provide a framework for future large-scale studies of the microbiome of prostate cancer.

Cerebellar Leukoencephalopathy following Fentanyl Intoxication. A case report and review of the literature.

The opioid crisis has become a significant public health concern in recent years. Although respiratory depression and overdose are the most reported side effects of fentanyl, there have been rare cases of cerebellar leukoencephalopathy (CLE) following fentanyl intoxication. A 29-year-old man with a history of opioid use disorder and intravenous drug use presented to the emergency room with significant ataxia and dysarthria following fentanyl intoxication. According to the patient, the symptoms began four days prior after "chasing the dragon" with "pure fentanyl", and he reported experiencing nausea and dizziness, particularly during ambulation. Neurological examination revealed a positive Romberg test, ataxia, and delayed speech. Brain magnetic resonance imaging (MRI) indicated there was toxic degeneration of the cerebellar white matter that extended into the posterior limbs of the internal capsule. Urine drug screening was positive for opioids, making fentanyl-induced cerebellar leukoencephalopathy the most likely diagnosis in this case. This case of opioid-induced CLE underscores the critical significance of early recognition, which is vital for enhancing a patient's recovery and averting the development of severe neurological complications.

Personalized mood prediction from patterns of behavior collected with smartphones.

Over the last ten years, there has been considerable progress in using digital behavioral phenotypes, captured passively and continuously from smartphones and wearable devices, to infer depressive mood. However, most digital phenotype studies suffer from poor replicability, often fail to detect clinically relevant events, and use measures of depression that are not validated or suitable for collecting large and longitudinal data. Here, we report high-quality longitudinal validated assessments of depressive mood from computerized adaptive testing paired with continuous digital assessments of behavior from smartphone sensors for up to 40 weeks on 183 individuals experiencing mild to severe symptoms of depression. We apply a combination of cubic spline interpolation and idiographic models to generate individualized predictions of future mood from the digital behavioral phenotypes, achieving high prediction accuracy of depression severity up to three weeks in advance (R2 ≥ 80%) and a 65.7% reduction in the prediction error over a baseline model which predicts future mood based on past depression severity alone. Finally, our study verified the feasibility of obtaining high-quality longitudinal assessments of mood from a clinical population and predicting symptom severity weeks in advance using passively collected digital behavioral data. Our results indicate the possibility of expanding the repertoire of patient-specific behavioral measures to enable future psychiatric research.

Robotic versus open radical cystectomy for bladder cancer: evaluation of complications, survival, and opioid prescribing patterns.

We aim to compare complications, readmission, survival, and prescribing patterns of opioids for post-operative pain management for Robotic-assisted laparoscopic radical cystectomy (RARC) as compared to open radical cystectomy (ORC). Patients that underwent RARC or ORC for bladder cancer at a tertiary care center from 2005 to 2021 were included. Recurrence-free survival (RFS) and overall survival (OS) were evaluated with Kaplan-Meier curves and multivariable Cox proportional hazards regression models. Comparisons of narcotic usage were completed with oral morphine equivalents (OMEQ). Multivariable linear regression was used to assess predictors of OMEQ utilization. A total of 128 RARC and 461 ORC patients were included. There was no difference in rates of Clavien-Dindo grade ≥ 3 complications between RARC and ORC (36.7 vs 30.1%, p = 0.16). After a mean follow up of 3.4 years, RFS (HR 0.96, 95%CI 0.58-1.56) and OS (HR 0.69, 95%CI 0.46-1.05) were comparable between RARC and ORC. There was no difference in the narcotic usage between patients in the RARC and ORC groups during the last 24 h of hospitalization (median OMEQ: 0 vs 0, p = 0.33) and upon discharge (median OMEQ: 178 vs 210, p = 0.36). Predictors of higher OMEQ discharge prescriptions included younger age [(- )3.46, 95%CI (-)5.5-(-)0.34], no epidural during hospitalization [- 95.85, 95%CI (- )144.95-(- )107.36], and early time-period of surgery [(- )151.04, 95%CI (- )194.72-(- )107.36]. RARC has comparable 90-day complication rates and early survival outcomes to ORC and remains a viable option for bladder cancer. RARC results in comparable levels of opioid utilization for pain management as ORC.

Redefining feasibility in clinical trials: Collaborative approaches for improved site selection.

Background: This Site Feasibility Task Force convened to assess the complex and burdensome process of site feasibility in clinical trials. The objective was to create mutual understanding of challenges and provide suggestions for improving collaboration among sponsors, contract research organizations (CROs), and sites. Methods: The task force was composed of representatives from sponsors, CROs and sites (43 % Sites, 20 % Site Networks, 10 % Small/mid-size sponsors, 10 % Small/mid-size CROs, 10 % Large sponsors, 7 % Large CROs). The group collaborated to define the scope of the problem, identify challenges in the current process, and provide suggestions for improving the process. Results: The group found there is a need for better differentiation between the three main stages of feasibility, and the four sub-phases of Site Feasibility. The discussion brought to light emerging trends like early initiation of Site Feasibility and premature engagement of sites by CROs. To fully explain these challenges, the group analyzed the current practices and documented their downstream impact on clinical trial execution for all stakeholders. A list of best practices emerged naturally from this analysis. These findings are aggregated into short and actionable best practice guides. Conclusion: The task force suggests practical changes for the feasibility process and raises awareness of emerging trends and their associated risks. This awareness can begin to drive change in the site feasibility process, although industry-wide transformation will require new levels of collaboration, data standardization and automation tools. The potential benefits of evolving this process are significant and meaningful for more efficient and successful clinical trials.