CLINICAL SIGNIFICANCE OF PARIETAL MICROFLORA IN CHILDREN WITH NON-SPECIFIC ULCERATIVE COLITIS

One of the key factors driving the development of non-specific ulcerative colitis (NSUC) is the intestinal microflora. The dominant composition of the parietal microflora was studied (Clostridium coccoides, Clostridium leptum, Bacteroides fragilis, Bifidobacterium, Lactobacillus, Prevotella, и Atopobium) in children with non-specific ulcerative colitis (NSUC) using the polymerase chain reaction method in real time. It was shown that it was characteristic of children with NSUC to have increased bacterial density of C. coccoides and Lactobacillus, combined with somewhat reduced Bifidobacterium, B. fragilis and Prevotella. Population levels of individual parietal microflora components (Bacteroides fragilis, Lactobacillus, Clostridium leptum, Clostridium coccoides, Prevotella, Bifidobacterium) vary depending on prevalence, severity and intensity of pathological process in the case of NSUC. Key words: inflammatory intestinal diseases, non-specific ulcerative colitis, parietal intestinal microflora, polymerase chain reaction, children. (Pediatric Pharmacology. – 2010; 7(5):71-76

КЛИНИЧЕСКОЕ ЗНАЧЕНИЕ ПРИСТЕНОЧНОЙ МИКРОФЛОРЫ У ДЕТЕЙ С НЕСПЕЦИФИЧЕСКИМ ЯЗВЕННЫМ КОЛИТОМ

One of the key factors driving the development of non-specific ulcerative colitis (NSUC) is the intestinal microflora. The dominant composition of the parietal microflora was studied (Clostridium coccoides, Clostridium leptum, Bacteroides fragilis, Bifidobacterium, Lactobacillus, Prevotella, и Atopobium) in children with non-specific ulcerative colitis (NSUC) using the polymerase chain reaction method in real time. It was shown that it was characteristic of children with NSUC to have increased bacterial density of C. coccoides and Lactobacillus, combined with somewhat reduced Bifidobacterium, B. fragilis and Prevotella. Population levels of individual parietal microflora components (Bacteroides fragilis, Lactobacillus, Clostridium leptum, Clostridium coccoides, Prevotella, Bifidobacterium) vary depending on prevalence, severity and intensity of pathological process in the case of NSUC. Key words: inflammatory intestinal diseases, non-specific ulcerative colitis, parietal intestinal microflora, polymerase chain reaction, children. (Pediatric Pharmacology. – 2010; 7(5):71-76)Одним из ключевых факторов, определяющих течение неспецифического язвенного колита (НЯК), является микрофлора кишечника. Был исследован доминирующий состав пристеночной микрофлоры (Clostridium coccoides, Clostridium leptum, Bacteroides fragilis, Bifidobacterium, Lactobacillus, Prevotella, и Atopobium) у детей с неспецифическим язвенным колитом (НЯК) методом полимеразной цепной реакции в режиме реального времени. Показано, что для детей с НЯК характерно повышение бактериальной плотности C. coccoides и Lactobacillus при некотором снижении Bifidobacterium, B. fragilis и Prevotella. Популяционные уровни отдельных представителей пристеночной микрофлоры (B. fragilis, Lactobacillus, C. leptum, C. coccoides, Prevotella, Bifidobacterium) отличаются в зависимости от распространенности, тяжести и активности патологического процесса при НЯК. Ключевые слова: воспалительные заболевания кишечника, неспецифический язвенный колит, пристеночная микрофлора кишечника, полимеразная цепная реакция, дети. (Педиатрическая фармакология. – 2010; 7(5): 71-76

Global maps of twenty-first century forest carbon fluxes

Managing forests for climate change mitigation requires action by diverse stakeholders undertaking different activities with overlapping objectives and spatial impacts. To date, several forest carbon monitoring systems have been developed for different regions using various data, methods and assumptions, making it difficult to evaluate mitigation performance consistently across scales. Here, we integrate ground and Earth observation data to map annual forest-related greenhouse gas emissions and removals globally at a spatial resolution of 30 m over the years 2001–2019. We estimate that global forests were a net carbon sink of −7.6 ± 49 GtCO2e yr−1, reflecting a balance between gross carbon removals (−15.6 ± 49 GtCO2e yr−1) and gross emissions from deforestation and other disturbances (8.1 ± 2.5 GtCO2e yr−1). The geospatial monitoring framework introduced here supports climate policy development by promoting alignment and transparency in setting priorities and tracking collective progress towards forest-specific climate mitigation goals with both local detail and global consistency