A novel selective medium for isolation of Limosilactobacillus reuteri from dietary supplements.

Limosilactobacillus reuteri is a probiotic bacterium known for its numerous beneficial effects on human health and is commonly utilized in various dietary supplements. Previously, we encountered difficulties in isolating L. reuteri from retail dietary supplements containing complex probiotic compositions by using non-selective media such as de Man, Rogosa, and Sharpe (MRS) agar.

Narrative review of neoadjuvant therapy in patients with locally advanced colon cancer.

Colorectal cancer is a leading cause of cancer-related morbidity and mortality worldwide, with more than 1.9 million new cases reported in 2020, and is associated with major survival challenges, particularly in patients with locally advanced colon cancer (LACC). LACC often involves T4 invasion or extensive nodal involvement and requires a multidisciplinary approach for management.

Spatiotemporal Profiling Defines Persistence and Resistance Dynamics During Targeted Treatment of Melanoma.

Resistance of BRAF-mutant melanomas to targeted therapy arises from the ability of cells to enter a persister state, evade treatment with relative dormancy, and repopulate the tumor when reactivated. A better understanding of the temporal dynamics and specific pathways leading into and out of the persister state is needed to identify strategies to prevent treatment failure. Using spatial transcriptomics in patient-derived xenograft models, we captured clonal lineage evolution during treatment.

Reactive oxygen species control protein degradation at the mitochondrial import gate.

While reactive oxygen species (ROS) have long been known to drive aging and neurodegeneration, their persistent depletion below basal levels also disrupts organismal function. Cells counteract loss of basal ROS via the reductive stress response, but the identity and biochemical activity of ROS sensed by this pathway remain unknown. Here, we show that the central enzyme of the reductive stress response, the E3 ligase Cullin 2-FEM1 homolog B (CUL2), specifically acts at mitochondrial TOM complexes, where it senses ROS produced by complex III of the electron transport chain (ETC).

STRprofiler: efficient comparisons of short tandem repeat profiles for biomedical model authentication.

Summary: Short tandem repeat (STR) profiling is commonly performed for authentication of biomedical models of human origin, yet no tools exist to easily compare sets of STR profiles to each other or an existing database in a high-throughput manner. Here, we present STRprofiler, a Python package, command line tool, and Shiny application providing methods for STR profile comparison and cross-contamination detection. STRprofiler can be run with custom databases or used to query against the Cellosaurus cell line database.

Comprehensive single-cell aging atlas of healthy mammary tissues reveals shared epigenomic and transcriptomic signatures of aging and cancer.

Aging is the greatest risk factor for breast cancer; however, how age-related cellular and molecular events impact cancer initiation is unknown. In this study, we investigated how aging rewires transcriptomic and epigenomic programs of mouse mammary glands at single-cell resolution, yielding a comprehensive resource for aging and cancer biology. Aged epithelial cells exhibit epigenetic and transcriptional changes in metabolic, pro-inflammatory and cancer-associated genes.

Lessons learned from 20 years of preclinical testing in pediatric cancers.

Programs for preclinical testing of targeted cancer agents in murine models of childhood cancers have been supported by the National Cancer Institute (NCI) since 2004. These programs were established to work collaboratively with industry partners to address the paucity of targeted agents for pediatric cancers compared with the large number of agents developed and approved for malignancies primarily affecting adults. The distinctive biology of pediatric cancers and the relatively small numbers of pediatric cancer patients are major challenges for pediatric oncology drug development.

Cross-Sectional Evaluation of Health Insurance Knowledge and Self-Efficacy in Adolescents and Young Adults with Inflammatory Bowel Disease.

Objective: To evaluate the status of health insurance knowledge and self-efficacy among adolescents and young adults with inflammatory bowel disease (AYA-IBD).

Study Design: English-proficient AYA-IBD ≥15 years receiving care at an academic pediatric practice were invited to perform the Kaiser Family Foundation survey on health information knowledge and the Health Insurance Literacy Measure. Analyses of responses by demographic factors were performed using nonparametric analyses and agreement analyses were performed to compare survey responses.

A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis.

Patient-derived xenografts (PDX) model human intra- and intertumoral heterogeneity in the context of the intact tissue of immunocompromised mice. Histologic imaging via hematoxylin and eosin (H&E) staining is routinely performed on PDX samples, which could be harnessed for computational analysis. Prior studies of large clinical H&E image repositories have shown that deep learning analysis can identify intercellular and morphologic signals correlated with disease phenotype and therapeutic response.

Development and Application of Genetic Ancestry Reconstruction Methods to Study Diversity of Patient-Derived Models in the NCI PDXNet Consortium.

Unlabelled: Precision medicine holds great promise for improving cancer outcomes. Yet, there are large inequities in the demographics of patients from whom genomic data and models, including patient-derived xenografts (PDX), are developed and for whom treatments are optimized. In this study, we developed a genetic ancestry pipeline for the Cancer Genomics Cloud, which we used to assess the diversity of models currently available in the National Cancer Institute-supported PDX Development and Trial Centers Research Network (PDXNet).

Changing epidemic patterns of infectious diseases during and after COVID-19 pandemic in Taiwan.

Mitigation measures aimed at curbing the transmission of the severe acute respiratory syndrome coronavirus 2 effectively suppressed the occurrence of many respiratory infections other than coronavirus disease 2019. Several infections experienced a resurgence following the relaxation of non-pharmaceutical interventions, surpassing pre-pandemic levels in Taiwan. This phenomenon, known as immune debt, primarily affected respiratory infections in young children, including respiratory syncytial virus (RSV) infection.

Discovery of a mu-opioid receptor modulator that in combination with morphinan antagonists induces analgesia.

Morphinan antagonists, which block opioid effects at mu-opioid receptors, have been studied for their analgesic potential. Previous studies have suggested that these antagonists elicit analgesia with fewer adverse effects in the presence of the mutant mu-opioid receptor (MOR; S196A). However, introducing a mutant receptor for medical applications represents significant challenges.

Association of Changes in A1C Following Continuous Glucose Monitoring Acquisition in People with Sub-Optimally Treated Type 2 Diabetes Taking GLP-1 RA Therapy.

Introduction: Both glucagon-like peptide-1 receptor agonists (GLP-1 RA) and continuous glucose monitoring (CGM) improve glycemia in patients with type 2 diabetes (T2D). However, it is unknown whether adding CGM to GLP-1 RA therapy further improves A1c. We evaluated changes in A1c levels 6 months after initiation of FreeStyle Libre (FSL) in adults with sub-optimally controlled T2D already on GLP-1 RA therapy.

Efficacy of Traditional Acupuncture Compared to Biofeedback Therapy in Fecal Incontinence: A Randomized Controlled Trial.

Background: Fecal incontinence has a devastating impact on quality of life and imposes a substantial socioeconomic burden. Best medical therapy, including biofeedback therapy, improves mild symptoms with minimal impact on moderate to severe symptoms. Surgical management for incontinence carries a degree of morbidity, resulting in low uptake and acceptability.

Quantification of Resection Margin following Sublobar Resection in Lung Cancer Patients through Pre- and Post-Operative CT Image Comparison: Utilizing a CT-Based 3D Reconstruction Algorithm.

Sublobar resection has emerged as a standard treatment option for early-stage peripheral non-small cell lung cancer. Achieving an adequate resection margin is crucial to prevent local tumor recurrence. However, gross measurement of the resection margin may lack accuracy due to the elasticity of lung tissue and interobserver variability.

NPRL2 is required for proliferation of oncogenic Ras-transformed bronchial epithelial cells.

Nitrogen permease regulator-like 2 (NPRL2/TUSC4) is known to exert both tumor-suppressing and oncogenic effects in different types of cancers, suggesting that its actions are context dependent. Here, we delineated the molecular and functional effects of NPRL2 in malignantly transformed bronchial epithelial cells. To do so, we depleted NPRL2 in oncogenic HRas-transduced and malignantly transformed human bronchial epithelial (BEAS2B), Ras-AI-T2 cells.

CXCR7 activation evokes the anti-PD-L1 antibody against glioblastoma by remodeling CXCL12-mediated immunity.

The interaction between glioblastoma cells and glioblastoma-associated macrophages (GAMs) influences the immunosuppressive tumor microenvironment, leading to ineffective immunotherapies. We hypothesized that disrupting the communication between tumors and macrophages would enhance the efficacy of immunotherapies. Transcriptomic analysis of recurrent glioblastoma specimens indicated an enhanced neuroinflammatory pathway, with CXCL12 emerging as the top-ranked gene in secretory molecules.

Deep Learning Analysis for Predicting Tumor Spread through Air Space in Early-Stage Lung Adenocarcinoma Pathology Images.

The presence of spread through air spaces (STASs) in early-stage lung adenocarcinoma is a significant prognostic factor associated with disease recurrence and poor outcomes. Although current STAS detection methods rely on pathological examinations, the advent of artificial intelligence (AI) offers opportunities for automated histopathological image analysis. This study developed a deep learning (DL) model for STAS prediction and investigated the correlation between the prediction results and patient outcomes.