Curcumin ameliorates autoimmune diabetes. Evidences in accelerated murine models of type 1 diabetes

Type 1 diabetes (T1DM) is a T cell-mediated autoimmune disease that selectively destroys pancreatic β cells. The only possible cure for T1DM is to control autoimmunity against β cell-specific antigens. We explored whether the natural compound curcumin, with anti-oxidant and anti-inflammatory activities, might down-regulate the T cell response that destroys pancreatic β cells to improve disease outcome in autoimmune diabetes. We employed two accelerated autoimmune diabetes models: (i) cyclophosphamide (CYP) administration to non-obese diabetic (NOD) mice and (ii) adoptive transfer of diabetogenic splenocytes into NODscid mice. Curcumin treatment led to significant delay of disease onset, and in some instances prevented autoimmune diabetes by inhibiting pancreatic leucocyte infiltration and preserving insulin-expressing cells. To investigate the mechanisms of protection we studied the effect of curcumin on key immune cell populations involved in the pathogenesis of the disease. Curcumin modulates the T lymphocyte response impairing proliferation and interferon (IFN)-γ production through modulation of T-box expressed in T cells (T-bet), a key transcription factor for proinflammatory T helper type 1 (Th1) lymphocyte differentiation, both at the transcriptional and translational levels. Also, curcumin reduces nuclear factor (NF)-κB activation in T cell receptor (TCR)-stimulated NOD lymphocytes. In addition, curcumin impairs the T cell stimulatory function of dendritic cells with reduced secretion of proinflammatory cytokines and nitric oxide (NO) and low surface expression of co-stimulatory molecules, leading to an overall diminished antigen-presenting cell activity. These in-vitro effects correlated with ex-vivo analysis of cells obtained from curcumin-treated mice during the course of autoimmune diabetes. These findings reveal an effective therapeutic effect of curcumin in autoimmune diabetes by its actions on key immune cells responsible for β cell death.Fil: Castro, Carla Noemí. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación En Biomedicina de Buenos Aires; ArgentinaFil: Barcala Tabarrozzi, Andrés Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación En Biomedicina de Buenos Aires; ArgentinaFil: Winnewisser, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación En Biomedicina de Buenos Aires; ArgentinaFil: Gimeno, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación En Biomedicina de Buenos Aires; ArgentinaFil: Antunica Noguerol, María de Las Nieves. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación En Biomedicina de Buenos Aires; ArgentinaFil: Liberman, Ana Clara. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación En Biomedicina de Buenos Aires; ArgentinaFil: Paz, Dante Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: Dewey, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Instituto de Investigaciones Biotecnológicas - Instituto Tecnológico Chascomús. Instituto de Investigaciones Biotecnológicas (sede Chascomús); ArgentinaFil: Perone, Marcelo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación En Biomedicina de Buenos Aires; Argentin

Vigilance on use of drugs, herbal products, and food supplements during pregnancy: focus on fosfomycin

Purpose: Urinary tract infection (UTI) is defined as a common bacterial infection that can lead to significant morbidity such as stricture, fistula, abscess formation, bacteremia, sepsis, pyelonephritis, and kidney dysfunction with a mortality rates reported of 1% in men and 3% in women because of development of pyelonephritis. UTIs are more common in women and the 33% of them require antimicrobials treatment for at least one episode by the age of 24 years. UTIs are the most common infections observed during pregnancy and up to 30% of mothers with not treated asymptomatic bacteriuria may develop acute pyelonephritis which consequently can be associated to adverse maternal and fetal outcomes. All bacteriuria in pregnancy should be treated with antimicrobial treatments being safe for both the mother and the fetus. Approximately one every four women receives prescription of antibiotic treatment during pregnancy, nearly 80% of all the prescription medications during gestation. The use of fosfomycin to treat cystitis in pregnancy generally considered safe and effective. Even though use on antibiotics for urinary tract infections is considered generally safe for the fetus and mothers, this opinion is not based on specific studies monitoring the relationship of among urinary infections, consumption of antibiotics, and pregnancy outcomes. Materials and methods: On this basis we decided to analyze data from the database of our multicenter study PHYTOVIGGEST, reporting data from 5362 pregnancies, focusing on use of fosfomycin. Principal outcomes of pregnancy in women treated with fosfomycin were taken into consideration. Results: Women who have been treated with urinary antibiotics during the pregnancy were 183. With respect to the total number of pregnancies of our sample, these women represented the percentage of 3.49% (187/5362). Analysis of different outcomes of pregnancy such as gestational age, neonatal weight, and neonatal Apgar index did not show any significant difference. At the same time, analysis of data of pregnancy complicancies (such as urgent cesarean delivery, use of general anesthesia, need to induce labor) did not show any difference in women taking fosfomycin during pregnancy and those not taking it. Conclusions: Our data, based on a large number of pregnancies, confirm the safety use of fosfomycin use in pregnancy

Implementation of Zebrafish Ontologies for Toxicology Screening.

Toxicological evaluation of chemicals using early-life stage zebrafish (Danio rerio) involves the observation and recording of altered phenotypes. Substantial variability has been observed among researchers in phenotypes reported from similar studies, as well as a lack of consistent data annotation, indicating a need for both terminological and data harmonization. When examined from a data science perspective, many of these apparent differences can be parsed into the same or similar endpoints whose measurements differ only in time, methodology, or nomenclature. Ontological knowledge structures can be leveraged to integrate diverse data sets across terminologies, scales, and modalities. Building on this premise, the National Toxicology Program's Systematic Evaluation of the Application of Zebrafish in Toxicology undertook a collaborative exercise to evaluate how the application of standardized phenotype terminology improved data consistency. To accomplish this, zebrafish researchers were asked to assess images of zebrafish larvae for morphological malformations in two surveys. In the first survey, researchers were asked to annotate observed malformations using their own terminology. In the second survey, researchers were asked to annotate the images from a list of terms and definitions from the Zebrafish Phenotype Ontology. Analysis of the results suggested that the use of ontology terms increased consistency and decreased ambiguity, but a larger study is needed to confirm. We conclude that utilizing a common data standard will not only reduce the heterogeneity of reported terms but increases agreement and repeatability between different laboratories. Thus, we advocate for the development of a zebrafish phenotype atlas to help laboratories create interoperable, computable data

Implementation of zebrafish ontologies for toxicology screening

Toxicological evaluation of chemicals using early-life stage zebrafish (Danio rerio) involves the observation and recording of altered phenotypes. Substantial variability has been observed among researchers in phenotypes reported from similar studies, as well as a lack of consistent data annotation, indicating a need for both terminological and data harmonization. When examined from a data science perspective, many of these apparent differences can be parsed into the same or similar endpoints whose measurements differ only in time, methodology, or nomenclature. Ontological knowledge structures can be leveraged to integrate diverse data sets across terminologies, scales, and modalities. Building on this premise, the National Toxicology Program’s Systematic Evaluation of the Application of Zebrafish in Toxicology undertook a collaborative exercise to evaluate how the application of standardized phenotype terminology improved data consistency. To accomplish this, zebrafish researchers were asked to assess images of zebrafish larvae for morphological malformations in two surveys. In the first survey, researchers were asked to annotate observed malformations using their own terminology. In the second survey, researchers were asked to annotate the images from a list of terms and definitions from the Zebrafish Phenotype Ontology. Analysis of the results suggested that the use of ontology terms increased consistency and decreased ambiguity, but a larger study is needed to confirm. We conclude that utilizing a common data standard will not only reduce the heterogeneity of reported terms but increases agreement and repeatability between different laboratories. Thus, we advocate for the development of a zebrafish phenotype atlas to help laboratories create interoperable, computable data