A genetically defined disease model reveals that urothelial cells can initiate divergent bladder cancer phenotypes.

Small cell carcinoma of the bladder (SCCB) is a rare and lethal phenotype of bladder cancer. The pathogenesis and molecular features are unknown. Here, we established a genetically engineered SCCB model and a cohort of patient SCCB and urothelial carcinoma samples to characterize molecular similarities and differences between bladder cancer phenotypes. We demonstrate that SCCB shares a urothelial origin with other bladder cancer phenotypes by showing that urothelial cells driven by a set of defined oncogenic factors give rise to a mixture of tumor phenotypes, including small cell carcinoma, urothelial carcinoma, and squamous cell carcinoma. Tumor-derived single-cell clones also give rise to both SCCB and urothelial carcinoma in xenografts. Despite this shared urothelial origin, clinical SCCB samples have a distinct transcriptional profile and a unique transcriptional regulatory network. Using the transcriptional profile from our cohort, we identified cell surface proteins (CSPs) associated with the SCCB phenotype. We found that the majority of SCCB samples have PD-L1 expression in both tumor cells and tumor-infiltrating lymphocytes, suggesting that immune checkpoint inhibitors could be a treatment option for SCCB. We further demonstrate that our genetically engineered tumor model is a representative tool for investigating CSPs in SCCB by showing that it shares a similar a CSP profile with clinical samples and expresses SCCB-up-regulated CSPs at both the mRNA and protein levels. Our findings reveal distinct molecular features of SCCB and provide a transcriptional dataset and a preclinical model for further investigating SCCB biology.

Clinician Perspectives for Mental Health Delivery Following COVID-19 in Carceral Settings: A Pilot Study.

We aimed to understand clinician perspectives on mental healthcare delivery during COVID-19 and the utility of tele-mental health services in carceral settings. A survey was administered in November 2022 through the American College of Correctional Physicians listserv. A nationwide sample of 55 respondents included 78.2% male (n = 43) and 21.8% female (n = 12), 49.1% active clinicians (n = 27) and 50.9% medical directors (n = 28), with a median of 12 and mean of 14.5 years working in carceral settings. Most agreed that mental telehealth services could serve as a stopgap amid infection prevention measures and resource-limited settings with an increasing role moving forward (80.0%, n = 44) but may not be sufficient to replace in-person services completely. Access to mental healthcare is vital in helping achieve optimal health during incarceration. Most clinicians in a nationwide survey report an essential role of mental telehealth in the future, although they vary in beliefs on the present implementation. Future efforts should further identify facilitators and barriers and bolster delivery models, particularly via e-health.

Gaussian Amplitude Amplification for Quantum Pathfinding.

We study an oracle operation, along with its circuit design, which combined with the Grover diffusion operator boosts the probability of finding the minimum or maximum solutions on a weighted directed graph. We focus on the geometry of sequentially connected bipartite graphs, which naturally gives rise to solution spaces describable by Gaussian distributions. We then demonstrate how an oracle that encodes these distributions can be used to solve for the optimal path via amplitude amplification. And finally, we explore the degree to which this algorithm is capable of solving cases that are generated using randomized weights, as well as a theoretical application for solving the Traveling Salesman problem.

Epidural cerebellar stimulation drives widespread neural synchrony in the intact and stroke perilesional cortex.

BACKGROUND: Cerebellar electrical stimulation has shown promise in improving motor recovery post-stroke in both rodent and human studies. Past studies have used motor evoked potentials (MEPs) to evaluate how cerebellar stimulation modulates ongoing activity in the cortex, but the underlying mechanisms are incompletely understood. Here we used invasive electrophysiological recordings from the intact and stroke-injured rodent primary motor cortex (M1) to assess how epidural cerebellar stimulation modulates neural dynamics at the level of single neurons as well as at the level of mesoscale dynamics. METHODS: We recorded single unit spiking and local field potentials (LFPs) in both the intact and acutely stroke-injured M1 contralateral to the stimulated cerebellum in adult Long-Evans rats under anesthesia. We analyzed changes in the firing rates of single units, the extent of synchronous spiking and power spectral density (PSD) changes in LFPs during and post-stimulation. RESULTS: Our results show that post-stimulation, the firing rates of a majority of M1 neurons changed significantly with respect to their baseline rates. These firing rate changes were diverse in character, as the firing rate of some neurons increased while others decreased. Additionally, these changes started to set in during stimulation. Furthermore, cross-correlation analysis showed a significant increase in coincident firing amongst neuronal pairs. Interestingly, this increase in synchrony was unrelated to the direction of firing rate change. We also found that neuronal ensembles derived through principal component analysis were more active post-stimulation. Lastly, these changes occurred without a significant change in the overall spectral power of LFPs post-stimulation. CONCLUSIONS: Our results show that cerebellar stimulation caused significant, long-lasting changes in the activity patterns of M1 neurons by altering firing rates, boosting neural synchrony and increasing neuronal assemblies' activation strength. Our study provides evidence that cerebellar stimulation can directly modulate cortical dynamics. Since these results are present in the perilesional cortex, our data might also help explain the facilitatory effects of cerebellar stimulation post-stroke.

The Impact of Congestive Heart Failure on Outcomes in Patients Hospitalized With Preeclampsia.

INTRODUCTION: The purpose of this study was to determine the prevalence of congestive heart failure (CHF) among patients admitted with preeclampsia as well as to analyze the independent association of CHF with in-hospital outcomes among women with preeclampsia. METHODS: Data were obtained from the National (Nationwide) Inpatient Sample (NIS) from January 2016 to December 2019. We assessed the independent association of CHF with outcomes in patients admitted with preeclampsia. Predictors of mortality in patients admitted with preeclampsia were also analyzed. RESULTS: Women with preeclampsia in the United States between 2016 and 2019 were included in our analysis. A total of 256,010 cases were isolated, comprising 1150 patients with preeclampsia and CHF (0.45%). Multivariate analysis demonstrated that CHF in patients with preeclampsia was independently associated with several outcomes, among them cardiac arrest (adjusted OR (aOR) 4.635, p=0.004), ventricular tachycardia (aOR 17.487, p<0.001), pulmonary embolism (aOR 6.987, p<0.001), and eclampsia (aOR 2.503, p=0.011). Conversely, we found CHF to be protective against postpartum hemorrhage (aOR 0.665, p=0.003). Among the predictors of mortality in preeclampsia are age (aOR 1.062, p=0.022), Asian or Pacific Islander race (aOR 4.695, p=0.001), and CHF (aOR 25.457, p<0.001).  Conclusions: In a large cohort of patients admitted with preeclampsia, we found the prevalence of CHF to be 0.45%. CHF was associated with several adverse outcomes as well as increased length of stay.

Pan-cancer Convergence to a Small-Cell Neuroendocrine Phenotype that Shares Susceptibilities with Hematological Malignancies.

Small-cell neuroendocrine cancers (SCNCs) are an aggressive cancer subtype. Transdifferentiation toward an SCN phenotype has been reported as a resistance route in response to targeted therapies. Here, we identified a convergence to an SCN state that is widespread across epithelial cancers and is associated with poor prognosis. More broadly, non-SCN metastases have higher expression of SCN-associated transcription factors than non-SCN primary tumors. Drug sensitivity and gene dependency screens demonstrate that these convergent SCNCs have shared vulnerabilities. These common vulnerabilities are found across unannotated SCN-like epithelial cases, small-round-blue cell tumors, and unexpectedly in hematological malignancies. The SCN convergent phenotype and common sensitivity profiles with hematological cancers can guide treatment options beyond tissue-specific targeted therapies.