DOGMA-seq and multimodal, single-cell analysis in acute myeloid leukemia.

Acute myeloid leukemia (AML) is a complex cancer, yet advances in recent years from integrated genomics methods have helped improve diagnosis, treatment, and means of patient stratification. A recent example of a powerful, multimodal method is DOGMA-seq, which can measure chromatin accessibility, gene expression, and cell-surface protein levels from the same individual cell simultaneously. Previous bimodal single-cell techniques, such as CITE-seq (Cellular indexing of transcriptomes and epitopes), have only permitted the transcriptome and cell-surface protein expression measurement.

The lived experiences of nurse practitioners during a nursing strike.

Objective: This study aims to understand the lived experiences of nurse practitioners (NPs) providing patient care during a nursing strike in a hospital setting.

Background: The nursing shortage afflicts the provision of health care. A recurring loss of seasoned nurses represents a loss of expertise and organizational knowledge, leading to internal burnout, inadequate resources, and recently, nursing strikes.

The mediating role of health literacy for COVID-19 between preventive behaviors and quality of life.

Background: The coronavirus disease 2019 (COVID-19) pandemic rapidly developed around the world. Plenty of health information about the virus was available from multiple media platforms, but such information was not always accurate. Identifying misinformation depends on an individual's health literacy.

Psychometric testing of the caring for the caregiver survey for healthcare providers.

Aim: The purpose of this study was to assess the factorial structure and model fit of the Caring for the Caregiver Scale.

Background: Caregiving is an all-encompassing role that results in negative health consequences. Healthcare providers require specific knowledge and clinical skills to support caregivers with health promotion.

Development of a Clinically Applicable Deep Learning System Based on Sparse Training Data to Accurately Detect Acute Intracranial Hemorrhage from Non-enhanced Head Computed Tomography.

Non-enhanced head computed tomography is widely used for patients presenting with head trauma or stroke, given acute intracranial hemorrhage significantly influences clinical decision-making. This study aimed to develop a deep learning algorithm, referred to as DeepCT, to detect acute intracranial hemorrhage on non-enhanced head computed tomography images and evaluate its clinical applicability. We retrospectively collected 1,815 computed tomography image sets from a single center for model training.

Combating syphilis resurgence: China's multifaceted approach.

Syphilis, a chronic infection caused by Treponema pallidum, is experiencing a global resurgence, posing significant public health challenges. This study examined the escalating trends of syphilis in the United States, China, and some other countries highlighting the impact of the COVID-19 pandemic, changes in sexual behavior, coinfection with the other infectious diseases such as AIDs, and the role of public health funding. The analysis revealed a stark increase in syphilis cases, particularly among high-risk groups such as men who have sex with men (MSM).

Recruitment Challenges and Strategies in a Technology-Based Intervention for Dementia Caregivers: Descriptive Study.

Background: Researchers have encountered challenges in recruiting unpaid caregivers of people living with Alzheimer disease and related dementias for intervention studies. However, little is known about the reasons for nonparticipation in in-home smart health interventions in community-based settings.

Objective: This study aimed to (1) assess recruitment rates in a smart health technology intervention for caregivers of people living with Alzheimer disease and related dementias and reasons for nonparticipation among them and (2) discuss lessons learned from recruitment challenges and strategies to improve recruitment.

Insights From Diverse Perspectives on Social Media Messages to Inform Young Adults With Cancer About Clinical Trials: Focus Group Study.

Background: Low rates of adolescent and young adult (YA; aged 15-39 y) clinical trial enrollment (CTE), particularly among underserved groups, have resulted in a lack of standardized cancer treatments and follow-up guidelines for this group that may limit improvement in cancer treatments and survival outcomes for YAs.

Objective: To understand and address unique barriers to CTE, we conducted focus groups to learn about informational, financial, and psychosocial needs of YAs surrounding CTE and identify strategies to address these barriers.

Methods: We conducted 5 focus groups in 2023 among a diverse sample of YA patients from across the United States.

Sentiments of Individuals with Interstitial Cystitis/Bladder Pain Syndrome Toward Pentosan Polysulfate Sodium: Infodemiology Study.

Background: Interstitial cystitis/bladder pain syndrome (IC/BPS) is a multifactorial, chronic syndrome involving urinary frequency, urgency, and bladder discomfort. These IC/BPS symptoms can significantly impact individuals' quality of life, affecting their mental, physical, sexual, and financial well-being. Individuals sometimes rely on peer-to-peer support to understand the disease and find methods of alleviating symptoms.

Patient-Provider Prenatal Nutrition Conversations Using a Human Factors Approach.

Objective: To examine patient-provider nutrition conversations at initial prenatal visits.

Design: Convergent mixed methods observational study.

Setting: Two large metropolitan clinics in the midwestern United States.

Suppression of TLR4/NF-κB signaling by kaurenoic acid in a mice model of monosodium urate crystals-induced acute gout.

Aim: The aim of the current study was to investigate the potential therapeutic effect of kaurenoic acid (KA) against Monosodium Urate Crystals (MSU)- induced acute gout by downregulation of NF-κB signaling pathway, mitigating inflammation and oxidative stress produced by MSU crystals. KA potentially targeted NF-κB pathway activation and provided comprehensive insights through multiple approaches. This was accomplished by advanced analytical techniques.

Transcatheter vs Surgical Aortic Valve Replacement in Medicare Beneficiaries with Aortic Stenosis and Coronary Artery Disease.

Background: As percutaneous therapeutic options expand, the optimal management of severe aortic stenosis (AS) and concomitant coronary artery disease (CAD) is being questioned between coronary artery bypass grafting and surgical aortic valve replacement (CABG+SAVR) versus percutaneous coronary intervention and transcatheter aortic valve replacement (PCI+TAVR). We sought to compare perioperative and longitudinal risk-adjusted outcomes between patients undergoing CABG+SAVR versus PCI+TAVR.

Methods: Using the United States Centers for Medicare and Medicaid Services inpatient claims database, we evaluated all patient age 65 and older with AS and CAD undergoing CABG+SAVR or PCI+TAVR (2018-2022).

XIS-PM: A daily spatiotemporal machine-learning model for PM in the contiguous United States.

Air-pollution monitoring is sparse across most of the United States, so geostatistical models are important for reconstructing concentrations of fine particulate air pollution (PM) for use in health studies. We present XGBoost-IDW Synthesis (XIS), a daily high-resolution PM machine-learning model covering the contiguous US from 2003 through 2023. XIS uses aerosol optical depth from satellites and a parsimonious set of additional predictors to make predictions at arbitrary points, capturing near-roadway gradients and allowing the estimation of address-level exposures.

Analysis of multi-class unregulated organic compounds in soil and biosolids using LC-MS/MS.

Numerous unregulated organic compounds (UOCs) including pharmaceuticals, opioids, and personal care products (PCPs) end up in wastewater. UOC presence in biosolids (a wastewater treatment byproduct), which are applied to soil for different reasons raises environmental and health risk concerns. In this study, two multi-class extraction methods were developed and validated to target 111 UOCs from 8 different major families simultaneously in biosolids and biosolids-impacted soil.

Consensus recommendations for measuring the impact of contraception on the menstrual cycle in contraceptive clinical trials.

Objective: We sought to develop consensus recommendations for measurement and analysis of data on contraceptive-induced menstrual changes (CIMCs) in contraceptive clinical trials. We built upon previous standardization efforts over the last 50 years and prioritized input from a variety of global experts and current regulatory authority guidance on patient-reported outcomes.

Study Design: We completed a formal consensus-building process with an interdisciplinary group of 57 experts from 30 organizations and 14 countries in five global regions who work across academia, nonprofit research organizations, the pharmaceutical industry, and funding agencies.

Evaluation of an automated assay for eosinophil-derived neurotoxin in serum.

Introduction: Eosinophil-derived neurotoxin (EDN) is a promising biomarker for eosinophil activation during inflammatory responses. Here we evaluate the analytical performance of an automated fluorescence enzyme immunoassay for EDN in serum and explore its relationship with eosinophil counts in both healthy participants and those with eosinophilic conditions.

Materials And Methods: Paired serum samples were collected from individuals for whom a complete blood count with differential was ordered.

The Effect of Resveratrol on Lead-Induced Oxidative Damage and Apoptosis in HT-22 Cells.

Objective: The purpose of this work was to investigate whether resveratrol affects lead-induced oxidative damage in HT-22 cells, characterizing mechanisms and strategies for preventing and treating lead-induced neurotoxicity.

Methods: Various lead and resveratrol concentrations were applied to HT-22 cells over different time periods. First, we established the lead treatment (12.

Decoding Cortical Folding Patterns in Marmosets Using Machine Learning and Large Language Model.

Macroscale neuroimaging results have revealed significant differences in the structural and functional connectivity patterns of gyri and sulci in the primate cerebral cortex. Despite these findings, understanding these differences at the molecular level has remained challenging. This study leverages a comprehensive dataset of whole-brain in situ hybridization (ISH) data from marmosets, with updates continuing through 2024, to systematically analyze cortical folding patterns.

Perceived organizational support for the treatment of opioid use disorder and its association with primary care provider treatment willingness and medication prescribing.

Introduction: Buprenorphine is a highly effective medication for opioid use disorder (MOUD; OUD), which can be prescribed alongside naloxone in the primary care setting as part of a harm reduction approach to OUD. Despite this potential, implementation challenges have limited adoption of MOUD. To address barriers at the organizational level, we need better tools to measure perceived organizational support for the treatment of OUD and use of MOUD in the primary care setting.

Different forms of stigma and rural primary care professionals' willingness to prescribe buprenorphine.

Introduction: Buprenorphine and other medications for opioid use disorder (MOUD) are highly effective but substantially under prescribed in the rural United States. Among the most cited barriers to buprenorphine prescribing is stigma, yet little progress has been made in developing successful strategies to reduce stigma and increase access to life-saving medication. One of the key challenges to developing successful implementation strategies is understanding the different types of stigma that limit implementation.

Development and applications of a machine learning model for an in-depth analysis of pentylenetetrazol-induced seizure-like behaviors in adult zebrafish.

Epilepsy, a neurological disorder causing recurring seizures, is often studied in zebrafish by exposing animals to pentylenetetrazol (PTZ), which induces clonic- and tonic-like behaviors. While adult zebrafish seizure-like behaviors are well characterized, manual assessment remains challenging due to its time-consuming nature, potential for human error/bias, and the risk of overlooking subtle behaviors. Aiming to circumvent these issues, we developed a machine learning model for automating the analysis of subtle abnormal and seizure-like behaviors in PTZ-exposed adult zebrafish.

Novel tertiary diarylethylamines as functionally selective agonists of the kappa opioid receptor.

Novel kappa opioid receptor (KOR) agonists that preferentially activate G-protein signaling versus β-arrestin-2 recruitment are described. Starting from a literature-reported phenol-containing diphenethylamine KOR agonist, structure-activity relationship (SAR) studies revealed replacement of the phenol with various non-hydroxylated bicyclic heteroaromatics led to tertiary diarylethylamines which retained KOR agonist activity and improved metabolic stability in human liver microsomes. Further optimizations produced compound 39, a potent activator of G-protein signaling (GTPγS EC = 14 nM, 83 % E) that did not elicit a β-arrestin-2 recruitment functional response (E < 10 %).