Effects of optimism and stage of change on alcohol use and problems among sexual minority men with HIV participating in a brief motivational interviewing intervention.

Introduction: Disseminating effective alcohol interventions for sexual minority men (SMM) with HIV remains a crucial public health endeavor. Motivational interviewing (MI) interventions are an established approach to reducing alcohol use, yet more research is needed to determine predictors of MI treatment outcomes and underlying mechanisms related to sustained behavior change among SMM with HIV. This pre-registered secondary analysis tested whether action-related stage of change mediated effects of a MI intervention on future alcohol use and problems among SMM with HIV, and whether individual differences in trait optimism moderated these associations.

Evaluation of bile acids and bilirubin in serum and abdominal fluid in dogs with abdominal effusion.

Objectives: Determine the utility of abdominal fluid bile acids concentration to diagnose biliary tract rupture and the utility of abdominal fluid-to-serum bilirubin ratio as diagnostic tools in dogs.

Materials And Methods: This was a prospective pilot study. Canine serum and abdominal fluid samples were collected and submitted for the determination of bilirubin and bile acids concentrations between 2020 and 2022.

Social network characteristics of COVID-19 vaccination and preventive health behaviors: Cross-sectional findings from the US northeast during the early COVID-19 pandemic.

Background: The link between individuals' vaccine attitudes and their social networks has been widely studied, but less is known about how these networks impact broader health behaviors like precautionary measures during the COVID-19 pandemic.

Methods: Egocentric social network data were collected from June 7-21, 2021, via an online survey by researchers based at the Brown University School of Public Health. The sample (n = 173) was recruited through Amazon's Mechanical Turk in Connecticut, Massachusetts, New Jersey, New York, and Rhode Island.

Impact of air pollution exposure on the severity of major depressive disorder: Results from the DeprAir study.

Background: Major depressive disorder (MDD) is one of the most prevalent medical conditions worldwide. Different factors were found to play a role in its etiology, including environmental ones (e.g.

Pomalidomide in patients with multiple myeloma: potential impact on the reconstitution of a functional T-cell immunity.

Background: Pomalidomide, a third-generation oral immunomodulatory drug, exhibits efficacy in patients with relapsed multiple myeloma or those refractory to bortezomib and lenalidomide (RRMM).

Methods: In this clinical context, we employed flow cytometry and CDR3 spectratyping to monitor the dynamics of the T-cell repertoire during Pomalidomide treatment, aiming to investigate its potential to reverse the immunological abnormalities characteristic of RRMM.

Results: By flow cytometry at baseline we found a significant decrease in CD4 + frequency in MM patients, while CD8 + frequency were significantly higher in patients when compared to controls.

MicroRNA Profiling as a Predictive Indicator for Time to First Treatment in Chronic Lymphocytic Leukemia: Insights from the O-CLL1 Prospective Study.

A "watch and wait" strategy, delaying treatment until active disease manifests, is adopted for most CLL cases; however, prognostic models incorporating biomarkers have shown to be useful to predict treatment requirement. In our prospective O-CLL1 study including 224 patients, we investigated the predictive role of 513 microRNAs (miRNAs) on time to first treatment (TTFT). In the context of this study, six well-established variables (i.

Efficacy of Behavioral Intervention, Text Messaging, and Extended Intervention to Address Alcohol Misuse in Sexual Minority Men with HIV: A Factorial Randomized Clinical Trial.

This clinical trial examined the individual and combined effects of three different approaches to reducing alcohol misuse among a sample of sexual minority men (SMM) with HIV. Specifically, we used a 2 × 2 × 2 randomized factorial design to compare: (a) behavioral intervention based in motivational interviewing (MI) vs. brief intervention (BI), (b) interactive text messaging (ITM) for alcohol use vs.

Ketone bodies rescue T cell impairments induced by low glucose availability.

Purpose: Ketogenic diets are proposed as a therapeutic approach for type 1 and type 2 diabetes due to their low glucose intake. However, their potential effects on the immune system need investigation. This study aims to explore how glucose concentration and beta-hydroxybutyrate (BHB) impact T cell phenotype, metabolism, and function, with a focus on systemic inflammatory response (T2D) and autoimmunity (T1D).

Associations between fine particulate matter, gene expression, and promoter methylation in human bronchial epithelial cells exposed within a classroom under air-liquid interface.

Associations between indoor air pollution from fine particulate matter (PM with aerodynamic diameter d < 2.5 μm) and human health are poorly understood. Here, we analyse the concentration-response curves for fine and ultrafine PM, the gene expression, and the methylation patterns in human bronchial epithelial cells (BEAS-2B) exposed at the air-liquid interface (ALI) within a classroom in downtown Rome.

Black social media influencers engage higher percentages of Black gay and bisexual men in online outreach for HIV prevention research relative to paid ads.

Background: Influencer-based social media marketing campaigns are a popular strategy to engage customers in many non-research industries (e.g., retail), but have been increasingly used in public health campaigns to reach and engage specific populations.

Alcohol-associated liver disease and behavioral and medical cofactors: unmet needs and opportunities.

Chronic liver disease is a leading cause of death in the US and is often preventable. Rising burden, cost, and fatality due to liver disease are driven by intensified alcohol use in the US population and the contributions of comorbid conditions. This mini-review focuses on the topic of liver health in the context of chronic, behavioral cofactors of disease, using research-based examples from the Brown University Center for Addiction and Disease Risk Exacerbation (CADRE).

PTC596-Induced BMI-1 Inhibition Fights Neuroblastoma Multidrug Resistance by Inducing Ferroptosis.

Neuroblastoma (NB) is a paediatric cancer with noteworthy heterogeneity ranging from spontaneous regression to high-risk forms that are characterised by cancer relapse and the acquisition of drug resistance. The most-used anticancer drugs exert their cytotoxic effect by inducing oxidative stress, and long-term therapy has been demonstrated to cause chemoresistance by enhancing the antioxidant response of NB cells. Taking advantage of an in vitro model of multidrug-resistant (MDR) NB cells, characterised by high levels of glutathione (GSH), the overexpression of the oncoprotein BMI-1, and the presence of a mutant P53 protein, we investigated a new potential strategy to fight chemoresistance.

The presence of a G-quadruplex prone sequence upstream of a minimal promoter increases transcriptional activity in the yeast Saccharomyces cerevisiae.

Non-canonical secondary structures in DNA are increasingly being revealed as critical players in DNA metabolism, including modulating the accessibility and activity of promoters. These structures comprise the so-called G-quadruplexes (G4s) that are formed from sequences rich in guanine bases. Using a well-defined transcriptional reporter system, we sought to systematically investigate the impact of the presence of G4 structures on transcription in yeast Saccharomyces cerevisiae.

Allo Beta Cell transplantation: specific features, unanswered questions, and immunological challenge.

Type 1 diabetes (T1D) presents a persistent medical challenge, demanding innovative strategies for sustained glycemic control and enhanced patient well-being. Beta cells are specialized cells in the pancreas that produce insulin, a hormone that regulates blood sugar levels. When beta cells are damaged or destroyed, insulin production decreases, which leads to T1D.

Effect of environmental exposures on cancer risk: Emerging role of non-coding RNA shuttled by extracellular vesicles.

Environmental and lifestyle exposures have a huge impact on cancer risk; nevertheless, the biological mechanisms underlying this association remain poorly understood. Extracellular vesicles (EVs) are membrane-enclosed particles actively released by all living cells, which play a key role in intercellular communication. EVs transport a variegate cargo of biomolecules, including non-coding RNA (ncRNA), which are well-known regulators of gene expression.

Transactivation by partial function P53 family mutants is increased by the presence of G-quadruplexes at a promoter site.

The effect of mutations in the P53 family of transcription factors on their biological functions, including partial or complete loss of transcriptional activity, has been confirmed several times. At present, P53 family proteins showing partial loss of activity appear to be promising potential candidates for the development of novel therapeutic strategies which could restore their transcriptional activity. In this context, it is important to employ tools to precisely monitor their activity; in relation to this, non-canonical DNA secondary structures in promoters including G-quadruplexes (G4s) were shown to influence the activity of transcription factors.

Access to medication for opioid use disorder supported by telemedicine and healthcare coverage: A web-based survey during the COVID-19 pandemic.

Background And Aims: Medications for opioid use disorder (MOUD) are highly effective in improving treatment outcomes and reducing overdose. Concerns about interrupted access to critical MOUD services led to expansion of telemedicine services during the COVID-19 pandemic in the US. The current study tested the hypothesis that telemedicine usage and healthcare coverage would be significantly associated with access to MOUD in the early phase of the COVID-19 pandemic.

Genes selection using deep learning and explainable artificial intelligence for chronic lymphocytic leukemia predicting the need and time to therapy.

Analyzing gene expression profiles (GEP) through artificial intelligence provides meaningful insight into cancer disease. This study introduces DeepSHAP Autoencoder Filter for Genes Selection (DSAF-GS), a novel deep learning and explainable artificial intelligence-based approach for feature selection in genomics-scale data. DSAF-GS exploits the autoencoder's reconstruction capabilities without changing the original feature space, enhancing the interpretation of the results.

Environmental and Lifestyle Cancer Risk Factors: Shaping Extracellular Vesicle OncomiRs and Paving the Path to Cancer Development.

Intercellular communication has been transformed by the discovery of extracellular vesicles (EVs) and their cargo, including microRNAs (miRNAs), which play crucial roles in intercellular signaling. These EVs were previously disregarded as cellular debris but are now recognized as vital mediators of biological information transfer between cells. Furthermore, they respond not only to internal stimuli but also to environmental and lifestyle factors.

Interleukin-7 improves the fitness of regulatory T cells for adoptive transfer.

Adoptive regulatory T-cell (Treg) transfer has emerged as a promising therapeutic strategy for regulating immune responses in organ transplantation, graft versus host disease, and autoimmunity, including Type 1 diabetes. Traditionally, Treg for adoptive therapy have been sorted and expanded in vitro using high doses of IL-2, demonstrating stability and suppressive capabilities. However, limitations in their long-term survival post-infusion into patients have been observed.

Clinical findings, treatment and outcome in cats diagnosed with precursor-targeted immune-mediated anaemia in a referral hospital in the UK: 30 cases (2010-2021).

Aims: This retrospective study aimed to report clinical findings, treatment response and survival in cats diagnosed with precursor-targeted immune-mediated anaemia (PIMA) in a referral hospital in the UK.

Methods: Feline cases diagnosed with presumed PIMA between January 2010 and February 2021 were retrospectively recruited. Signalment, clinical signs, diagnostic tests, treatment and outcome were recorded.

ReACH2Gether: Iterative Development of a Couples-Based Intervention to Reduce Alcohol use Among Sexual Minority Men Living with HIV and Their Partners.

Unhealthy alcohol use, which encompasses heavy episodic drinking to alcohol use disorder, has been identified as a modifiable barrier to optimal HIV care continuum outcomes. Despite the demonstrated efficacy of couples-based interventions for addressing unhealthy alcohol use, there are no existing couples-based alcohol interventions designed specifically for people living with HIV. This study presents the development and refinement of a three-session couples-based motivational intervention (ReACH2Gether) to address unhealthy alcohol use among a sample of 17 sexual minority men living with HIV and their partners living in the United States.

analysis of a randomized, double-blind, prospective trial evaluating a CXCR1/2 inhibitor in new-onset type 1 diabetes: endo-metabolic features at baseline identify a subgroup of responders.

Aim: In a recent randomized, multicenter trial (NCT02814838) a short-term anti-inflammatory treatment with ladarixin (LDX; an inhibitor of the CXCR1/2 chemokine receptors) did not show benefit on preserving residual beta cell function in new-onset type 1 diabetes. We present a analysis of trial patients in the predefined subgroup analysis developed according to baseline daily insulin requirement (DIR) tertiles.

Method: A double-blind, randomized (2:1), placebo-controlled study was conducted in 45 men and 31 women (aged 18-46 years) within 100 days of the first insulin administration.

Machine-learning-based method for fiber-bending eavesdropping detection.

In this Letter, we present a scheme for detecting fiber-bending eavesdropping based on feature extraction and machine learning (ML). First, 5-dimensional features from the time-domain signal are extracted from the optical signal, and then a long short-term memory (LSTM) network is applied for eavesdropping and normal event classification. Experimental data are collected from a 60 km single-mode fiber transmission link with eavesdropping implemented by a clip-on coupler.