Social epidemiology of early adolescent nutrition.

Background: This study aimed to investigate associations between sociodemographic factors and dietary intake among a diverse population of early adolescents ages 10-13 years in the United States.

Methods: We examined data from the Adolescent Brain Cognitive Development (ABCD) Study in Year 2 (2018-2020, ages 10-13 years, N = 10,280). Multivariable linear regression models were conducted to estimate the adjusted associations between sociodemographic factors (age, sex, race and ethnicity, household income, parental education) and dietary intake of various food groups, measured by the Block Kids Food Screener.

Patterns in progression from early-stage melanoma to late-stage melanoma: implications for survivorship follow-up.

This study determined the characteristics of patients with early-stage melanoma (IA-IIA) who later had stage IV recurrence. We retrospectively examined 880 melanoma patients and identified those who progressed to stage IV disease from an initial early-stage (n = 50). We observed a median latent period of 4 years between early-stage diagnosis and metastatic disease.

Pharmacological Dissection Identifies Retatrutide Overcomes the Therapeutic Barrier of Obese TNBC Treatments through Suppressing the Interplay between Glycosylation and Ubiquitylation of YAP.

Triple-negative breast cancer (TNBC) in obese patients remains challenging. Recent studies have linked obesity to an increased risk of TNBC and malignancies. Through multiomic analysis and experimental validation, a dysfunctional Eukaryotic Translation Initiation Factor 3 Subunit H (EIF3H)/Yes-associated protein (YAP) proteolytic axis is identified as a pivotal junction mediating the interplay between cancer-associated adipocytes and the response to anti-cancer drugs in TNBC.

Impact of molecular diagnostic techniques on the acute respiratory infection sentinel surveillance program, Antioquia, Colombia, 2022.

Objectives: Surveillance of acute respiratory infection (ARI) informs vaccination, preventive, and management decisions. In many countries, immunofluorescence is the cornerstone for ARI surveillance. We aimed to determine the effect of adding multiplex polymerase chain reaction (mPCR) to conventional surveillance in ARI.

Optimizing care for gastric cancer with overt bleeding: Is systemic therapy a valid option?

Gastric cancer (GC) and gastroesophageal junction cancer (GEJC) represent a significant burden globally, with complications such as overt bleeding (OB) further exacerbating patient outcomes. A recent study by Yao evaluated the effectiveness and safety of systematic treatment in GC/GEJC patients presenting with OB. Using propensity score matching, the study balanced the comparison groups to investigate overall survival and treatment-related adverse events.

The PIKASO trial (Preventing Injured Knees from Osteoarthritis: Severity Outcomes): Rationale and design features for a randomized controlled trial.

Objective: Given the high burden and increasing prevalence of post-traumatic osteoarthritis (PTOA), identifying clinically beneficial strategies to prevent or delay its onset could improve the quality of life of those at high risk of developing the disease.

Methods: Preventing Injured Knees from OsteoArthritis: Severity Outcomes (PIKASO) is a multicenter blinded, parallel, two-arm randomized controlled trial of 512 individuals aged 18-45 years undergoing anterior cruciate ligament reconstruction (ACLR). This study is designed to evaluate the efficacy of a 12-month intervention of oral metformin vs.

Intergenerational impacts of racial discrimination on child executive functioning problems.

The proposed study sought to investigate whether maternal experiences of racial discrimination and gendered racial stress are associated with offspring executive functioning. Total 266 Black mother-child pairs in the United States were assessed from pregnancy through child age of 4 years. We hypothesized that children whose mothers reported higher rates of perceived gendered racial stress during pregnancy and racial discrimination throughout their lifetime would have lower scores on executive functioning assessments.

Understanding the opioid syndemic in North Carolina: A novel approach to modeling and identifying factors.

The opioid epidemic is a significant public health challenge in North Carolina, but limited data restrict our understanding of its complexity. Examining trends and relationships among different outcomes believed to reflect opioid misuse provides an alternative perspective to understand the opioid epidemic. We use a Bayesian dynamic spatial factor model to capture the interrelated dynamics within six different county-level outcomes, such as illicit opioid overdose deaths, emergency department visits related to drug overdose, treatment counts for opioid use disorder, patients receiving prescriptions for buprenorphine, and newly diagnosed cases of acute and chronic hepatitis C virus and human immunodeficiency virus.

Noninvasive in vivo imaging of macrophages: understanding tumor microenvironments and delivery of therapeutics.

Macrophages are pivotal in the body's defense and response to inflammation. They are present in significant numbers and are widely implicated in various diseases, including cancer. While molecular and histological techniques have advanced our understanding of macrophage biology, their precise function within the cancerous microenvironments remains underexplored.

Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms.

Noninvasive methods for intracranial pressure (ICP) monitoring have emerged, but none has successfully replaced invasive techniques. This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a cranial extensometer device (brain4care [B4C] System). The model explored multiple waveform parameters to optimize mean ICP estimation.

Oxidative Gaseous Air Pollutant Exposure Interacts with PNPLA3-I148M Genotype to Influence Liver Fat Fraction and Multi-Omics Profiles in Young Adults.

PNPLA3-I148M genotype is the strongest predictive single-nucleotide polymorphism for liver fat. We examine whether PNPLA3-I148M modifies associations between oxidative gaseous air pollutant exposure (O) with i) liver fat and ii) multi-omics profiles of miRNAs and metabolites linked to liver fat. Participants were 69 young adults (17-22 years) from the Meta-AIR cohort.

HIV co-infection is associated with increased HLA-DR expression by Mycobacterium tuberculosis-specific CD4 T cells in people with latent tuberculosis infection.

Infection with HIV is associated with dysregulated CD4 T cell responses to Mycobacterium tuberculosis (Mtb) and increased risk of developing tuberculosis. Mtb-specific CD4 T cells in people with HIV have diminished Th1 cytokine production capacity, thus we utilized a flow cytometry-based assay to measure CD40L expression by Mtb-specific CD4 T cells in a cytokine-independent manner. We evaluated the frequency and phenotype of Mtb-specific CD4 responses in Kenyan adults with latent Mtb infection and found that the majority of Mtb-specific CD4 T cells expressed CD40L in the absence of IFN-γ, regardless of HIV infection status.

ISCT MSC committee statement on the US FDA approval of allogenic bone-marrow mesenchymal stromal cells.

The December 2024 US Food and Drug Administration (FDA) approval of Mesoblast's Ryoncil (remestemcel-L-rknd)-allogeneic bone marrow mesenchymal stromal cell (MSC(M)) therapy-in pediatric acute steroid-refractory graft-versus-host-disease finally ended a long-lasting drought on approved MSC clinical products in the United States. While other jurisdictions-including Europe, Japan, India, and South Korea-have marketed autologous or allogeneic MSC products, the United States has lagged in its approval. The sponsor's significant efforts and investments, working closely with the FDA addressing concerns regarding clinical efficacy and consistent MSC potency through an iterative process that spanned several years, was rewarded with this landmark approval.

Global metabolomic alterations associated with endocrine-disrupting chemicals among pregnant individuals and newborns.

Background: Gestational exposure to non-persistent endocrine-disrupting chemicals (EDCs) may be associated with adverse pregnancy outcomes. While many EDCs affect the endocrine system, their effects on endocrine-related metabolic pathways remain unclear. This study aims to explore the global metabolome changes associated with EDC biomarkers at delivery.

The effect of registered nurse staffing and skill mix on length of stay and hospital costs.

Background: Sepsis is a common cause of hospitalization among Medicare beneficiaries, often leading to prolonged hospital stays and high costs.

Purpose: To estimate the impact of registered nurse (RN) staffing and skill mix on hospital lengths of stay and associated costs for Medicare beneficiaries with sepsis.

Methods: A retrospective, cross-sectional analysis was conducted using 2018 data from 2,107 acute care hospitals, including 653,496 patients with sepsis.

Improving Cooking Skills, Lifestyle Behaviors, and Clinical Outcomes for Adults at Risk for Cardiometabolic Disease: Protocol for a Randomized Teaching Kitchen Multisite Trial (TK-MT).

Background/objectives: This protocol describes a study to investigate the feasibility and preliminary efficacy of a novel Teaching Kitchen Multisite Trial (TK-MT) for adults with cardiometabolic abnormalities. The TK-MT protocol describes a hybrid lifestyle intervention combining in-person and virtual instruction in culinary skills, nutrition education, movement, and mindfulness with community support and behavior change strategies. This 18-month-long randomized controlled trial aims to evaluate the feasibility of implementing a 12-month, 24 class program, assess preliminary study efficacy, and identify barriers and facilitators to implementation.

Early Autonomic Dysfunction in Traumatic Brain Injury: An Article Review on the Impact on Multiple Organ Dysfunction.

Traumatic brain injury (TBI) is a complex condition and a leading cause of injury-related disability and death, with significant impacts on patient outcomes. Extracranial organ involvement plays a critical role in the outcome of patients following TBI. This review aims to provide a comprehensive overview of the pathophysiology, clinical presentation, and challenges in diagnosing patients with autonomic dysfunction after TBI.

Machine Learning Models for the Early Real-Time Prediction of Deterioration in Intensive Care Units-A Novel Approach to the Early Identification of High-Risk Patients.

Predictive machine learning models have made use of a variety of scoring systems to identify clinical deterioration in ICU patients. However, most of these scores include variables that are dependent on medical staff examining the patient. We present the development of a real-time prediction model using clinical variables that are digital and automatically generated for the early detection of patients at risk of deterioration.