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Objective: Limited management strategies exist for cancer therapy-induced oral mucositis (OM).
Materials And Methods: We conducted a randomised, double-blind, placebo-controlled trial to assess the efficacy and safety of Limosilactobacillus reuteri (LR) probiotic to prevent and reduce the severity of OM in head and neck cancer patients undergoing radiotherapy (RT). Patients ≥ 21 years requiring head and neck RT of ≥ 60 Gy and those undergoing concurrent chemotherapy with RT (CCRT) with no prior OM were recruited. OM incidence and severity were assessed weekly from baseline to two weeks post-RT. Oral samples were collected at baseline and study mid-point to profile microbiome changes.
Results: Overall, no significant differences in OM incidence or severity (grade ≥ 3) were observed between LR and placebo groups. However, subgroup analyses of participants who received RT-only showed significantly lower mean OM scores (-0.42; 95% CI: -0.75, -0.09; p = 0.02) over time in the LR probiotic group. Beta diversity of the oral microbiome was significantly different between the RT-only probiotic and placebo groups (PERMANOVA: F = 1.77; R = 0.07; p = 0.025). No serious adverse effects were observed in the LR group.
Conclusion: LR probiotic use was safe and associated with a reduced OM incidence and severity in RT-only participants. These findings are promising and provide important insights for future studies in larger cohorts.
Trial Registration: ClinicalTrials.gov: NCT03552458.
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http://dx.doi.org/10.1111/odi.70083 | DOI Listing |
Neurology
October 2025
Norcliffe Foundation Center for Integrative Brain Research, Seattle Children's Research Institute, WA.
Background And Objectives: Neuroimaging findings in immune effector cell-associated neurotoxicity syndrome (ICANS) have not been systematically described. We created the chimeric antigen receptor (CAR) T-cell Neurotoxicity Imaging Virtual Archive Library (CARNIVAL), a centralized imaging database for children and young adults receiving CAR T-cell therapy. Objectives of this study were to (1) characterize neuroimaging findings associated with ICANS and (2) determine whether specific ICANS-related neuroimaging findings are associated with individual neurologic symptoms.
View Article and Find Full Text PDFPLoS Negl Trop Dis
September 2025
Programa de Patologia Ambiental e Experimental, Universidade Paulista (UNIP), São Paulo, Brasil.
Microsporidia causes opportunistic infections in immunosuppressed individuals. Mammals shed these spores of fungi in feces, urine, or respiratory secretions, which could contaminate water and food, thereby reaching the human body and causing infection. The oral route is the most common route of infection, although experiments have demonstrated that intraperitoneal and intravenous routes may also spread infection.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States.
Background: Maternal childhood maltreatment has been associated with higher risk of adverse neurodevelopment in offspring. Chronic systemic inflammation has been associated with childhood maltreatment and has been identified as a gestational risk factor for adverse neurodevelopment in offspring. Thus, inflammation may be a mechanism by which maternal exposure to maltreatment affects offspring neurodevelopment.
View Article and Find Full Text PDFPLoS One
September 2025
Chilean Invasive Mycosis Network, Santiago, Chile.
Background: Invasive mold diseases (IMDs) are a severe complication of immunocompromised subjects and an emerging problem among severely ill, apparently immunocompetent patients. The aim of this study was to describe the epidemiological and clinical features of IMDs in Chile.
Methods: Prospective study of IMD cases in children and adults from 11 reference hospitals in Chile from May 2019 to May 2021.
PLOS Digit Health
September 2025
Department of Dermatology, Stanford University, Stanford, California, United States of America.
Large Language Models (LLMs) are increasingly deployed in clinical settings for tasks ranging from patient communication to decision support. While these models demonstrate race-based and binary gender biases, anti-LGBTQIA+ bias remains understudied despite documented healthcare disparities affecting these populations. In this work, we evaluated the potential of LLMs to propagate anti-LGBTQIA+ medical bias and misinformation.
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