MicroRNA Expression in High-Grade B-Cell Lymphoma With 11q Aberration.

Mature aggressive B-cell lymphomas, such as Burkitt lymphoma (BL) and Diffuse large B-cell lymphoma (DLBCL), show variations in microRNA (miRNA) expression. The entity of High-grade B-cell lymphoma with 11q aberration (HGBCL-11q) shares several biological features with both BL and DLBCL but data on its miRNA expression profile are yet scarce. Hence, this study aims to analyze the potential differences in miRNA expression of HGBCL-11q compared to BL and DLBCL.

Machine learning approaches for risk prediction after percutaneous coronary intervention: a systematic review and meta-analysis.

Aims: Accurate prediction of clinical outcomes following percutaneous coronary intervention (PCI) is essential for mitigating risk and peri-procedural planning. Traditional risk models have demonstrated a modest predictive value. Machine learning (ML) models offer an alternative risk stratification that may provide improved predictive accuracy.

Maternal-fetal cytokine profiles in acute SARS-CoV-2 "breakthrough" infection after COVID-19 vaccination.

Objective: Vaccination is protective against severe COVID-19 disease, yet whether vaccination reduces COVID-19-associated inflammation in pregnancy has not been established. The objective of this study is to characterize maternal and cord cytokine profiles of acute SARS-CoV-2 "breakthrough" infection (BTI) after vaccination, compared with unvaccinated infection and uninfected controls.

Study Design: 66 pregnant individuals enrolled in the MGH COVID-19 biorepository (March 2020-April 2022) were included.

Molecular profiling of frontal and occipital subcortical white matter hyperintensities in Alzheimer's disease.

White matter hyperintensities (WMHs) are commonly detected on T2-weighted magnetic resonance imaging (MRI) scans, occurring in both typical aging and Alzheimer's disease (AD). Despite their frequent appearance and their association with cognitive decline in AD, the molecular factors contributing to WMHs remain unclear. In this study, we investigated the transcriptomic profiles of two commonly affected brain regions with coincident AD pathology-frontal subcortical white matter (frontal-WM) and occipital subcortical white matter (occipital-WM)-and compared with age-matched cognitively intact controls.

Effects of aging on diurnal transcriptome change in the mouse corpus callosum.

The corpus callosum, a major white matter region central to cognitive function, is vulnerable to aging. Using zeitgeber time (ZT) aligned with environmental light/dark cycles, we investigated temporal gene expression patterns in the corpus callosum of young (5-month-old) and aged (24-month-old) mice using RNA-seq. Comparative analysis revealed more differentially expressed genes across ZT pairs in young mice than aged mice.

Children betrayed: The unseen victims of domestic violence and how law enforcement can better protect them.

Domestic violence is a commonplace and serious societal problem with vast public health and economic consequences. Childhood exposure to domestic violence can blight children's biological and social development. Often, local police departments are first responders to domestic violence.

Surgical management of short-segment Hirschsprung disease.

Hirschsprung disease (HSCR) is the most common congenital motility disorder of the intestine, characterized by the absence of ganglion cells in the myenteric and submucosal plexuses, leading to functional bowel obstruction. Short-segment Hirschsprung disease (SS-HSCR) accounts for the majority of cases, with surgical resection being the cornerstone of treatment. Despite advances in surgical techniques, considerable variability exists in practice regarding the timing of surgery, the choice of technique, and the length of aganglionic rectal cuff to resect.

Exploring the Intersection of Gender Diversity and Intellectual Disability: A Scoping Review With a Focus on Clinical Care.

Background: Little research has been conducted solely exploring gender diversity in people with intellectual disabilities. This review explores the literature, discusses the prevalence, and identifies clinical best practices for people at the intersection of gender diversity and intellectual disability.

Method: A scoping review was conducted utilising PRISMA methodology of the following databases: PubMed, CINAHL Complete (EBSCO), Cochrane Library (Wiley), Dissertations & Theses Global (ProQuest), PsycInfo (EBSCO), Scopus and Web of Science.

Efficacy and Safety Results With Rilzabrutinib, an Oral Bruton Tyrosine Kinase Inhibitor, in Patients With Immune Thrombocytopenia: Phase 2 Part B Study.

Current treatments for persistent or chronic immune thrombocytopenia (ITP) are limited by inadequate response, toxicity, and impaired quality of life. The Bruton tyrosine kinase inhibitor rilzabrutinib was evaluated to further characterize safety and durability of platelet response. LUNA2 Part B is a multicenter, phase 1/2 study in adults with ITP (≥ 3 months duration, platelet count < 30 × 10/L) who failed ≥ 1 ITP therapy (NCT03395210, EudraCT 2017-004012-19).

Use of extracorporeal shockwave therapy combined with standard rehabilitation following anterior cruciate ligament reconstruction: a systematic review with meta-analysis.

Background: Anterior cruciate ligament (ACL) injuries are one of the most common sports injuries, accounting for approximately 50% of knee-related injuries. Extracorporeal shockwave therapy (ESWT), in the form of the radial (R-SWT) or focused shockwave (F-SWT), has been shown effective in treating various orthopaedic conditions. Recently, studies have investigated whether ESWT combined with standard rehabilitation may improve outcomes following anterior cruciate ligament reconstruction (ACLR).

Mortality risk among individuals who smoke opioids compared with those who inject: A propensity score-matched cohort analysis of United States national treatment data.

Background And Aims: Opioid smoking is becoming more common in the United States. The aim of this analysis was to estimate relative mortality risk among those who primarily smoke opioids compared with those who inject.

Design: Retrospective propensity score-matched cohort analysis.

Genomics yields biological and phenotypic insights into bipolar disorder.

Bipolar disorder is a leading contributor to the global burden of disease. Despite high heritability (60-80%), the majority of the underlying genetic determinants remain unknown. We analysed data from participants of European, East Asian, African American and Latino ancestries (n = 158,036 cases with bipolar disorder, 2.

CD45-PET is a robust, non-invasive tool for imaging inflammation.

Imaging inflammation holds immense potential for advancing the diagnosis, treatment and prognosis of many conditions. The lack of a specific and sensitive positron emission tomography (PET) probe to detect inflammation is a critical challenge. To bridge this gap, we present CD45-PET imaging, which detects inflammation with exceptional sensitivity and clarity in several preclinical models.

Medical School Curriculum Evaluation to Improve Health Equity Education.

Following the birth of Black Lives Matter, USA medical students advocated for greater commitment to health equity from their schools. In response to such concerns, in 2015, the Yale School of Medicine formed a committee for diversity, inclusion, and social justice and a committee on lesbian, gay, bisexual, transgender, queer, questioning, and intersex affairs. Based on their efforts, our Educational Policy and Curriculum Committee commissioned a student-faculty-led task force to survey the curriculum and make recommendations toward the creation of a health equity curriculum.

In vivo CRISPR-Cas9 genome editing in mice identifies genetic modifiers of somatic CAG repeat instability in Huntington's disease.

Huntington's disease, one of more than 50 inherited repeat expansion disorders, is a dominantly inherited neurodegenerative disease caused by a CAG expansion in HTT. Inherited CAG repeat length is the primary determinant of age of onset, with human genetic studies underscoring that the disease is driven by the CAG length-dependent propensity of the repeat to further expand in the brain. Routes to slowing somatic CAG expansion, therefore, hold promise for disease-modifying therapies.

Enhancing social functioning using multi-user, immersive virtual reality.

Rates of loneliness and other forms of social disconnection have been increasing worldwide. Prior studies have suggested that brief behavioral interventions can teach skills that may improve social functioning and connection but, currently, access to such interventions is limited. One previously untested approach for addressing this gap is to teach these skills using immersive, multi-user virtual reality (VR).

Cohort profile: the BangladEsh Longitudinal Investigation of Emerging Vascular and nonvascular Events (BELIEVE) cohort study.

Purpose: Bangladesh has experienced a rapid epidemiological transition from communicable to non-communicable diseases (NCDs) in recent decades. There is, however, limited evidence about multidimensional determinants of NCDs in this population. The BangladEsh Longitudinal Investigation of Emerging Vascular and nonvascular Events (BELIEVE) study is a household-based prospective cohort study established to investigate biological, behavioural, environmental and broader determinants of NCDs.

Elucidating hemodynamics and neuro-glio-vascular signaling using rodent fMRI.

Despite extensive functional mapping studies using rodent functional magnetic resonance imaging (fMRI), interpreting the fMRI signals in relation to their neuronal origins remains challenging due to the hemodynamic nature of the response. Ultra high-resolution rodent fMRI, beyond merely enhancing spatial specificity, has revealed vessel-specific hemodynamic responses, highlighting the distinct contributions of intracortical arterioles and venules to fMRI signals. This 'single-vessel' fMRI approach shifts the paradigm of rodent fMRI, enabling its integration with other neuroimaging modalities to investigate neuro-glio-vascular (NGV) signaling underlying a variety of brain dynamics.

Pericardial effusion cytology: malignancy rates, patterns of metastasis, comparison with pericardial window, and genomic correlates.

Introduction: Cytologic evaluation of pericardial fluid is essential for diagnosing malignant pericardial effusions secondary to metastatic disease and for guiding appropriate clinical management; however, large cohort and up-to-date studies on malignancy rates and distribution of primary tumor sites is lacking.

Materials And Methods: A retrospective analysis of pericardial fluid specimens from 2 large academic medical centers over a 10-year period was conducted. Clinical and specimen characteristics were correlated with cytologic diagnoses, and compared with surgical pathology pericardial specimens when available.

Efficacy and empathy of AI chatbots in answering frequently asked questions on oral oncology.

Objectives: Artificial intelligence chatbots have demonstrated feasibility and efficacy in improving health outcomes. In this study, responses from 5 different publicly available AI chatbots-Bing, GPT-3.5, GPT-4, Google Bard, and Claude-to frequently asked questions related to oral cancer were evaluated.

Entrapment of Pulmonary Artery Catheters in Cardiac Surgery: A Structured Literature Review and Analysis of Published Case Reports.

Objectives: This systematic review aims to tabulate and analyze the published literature regarding pulmonary artery catheter (PAC) entrapment during cardiac surgery.

Design: Systematic review.

Setting: Case reports and series.

Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysis.

Background: Accurate mortality prediction following transcatheter aortic valve implantation (TAVI) is essential for mitigating risk, shared decision-making and periprocedural planning. Surgical risk models have demonstrated modest discriminative value for patients undergoing TAVI and are typically poorly calibrated, with incremental improvements seen in TAVI-specific models. Machine learning (ML) models offer an alternative risk stratification that may offer improved predictive accuracy.