The Experts below are selected from a list of 119562 Experts worldwide ranked by ideXlab platform
Margaret J Morris - One of the best experts on this subject based on the ideXlab platform.
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cross talk among Metabolic Parameters esophageal microbiota and host gene expression following chronic exposure to an obesogenic diet
Scientific Reports, 2017Co-Authors: No Kaakoush, Virginie Lecomte, Christopher A Maloney, Margaret J MorrisAbstract:Unhealthy diets, and ensuing weight gain, predispose individuals to the development of esophageal adenocarcinoma. We examined the effect of chronic high fat diet (HFD) on the esophageal microbiota of Sprague Dawley rats using Illumina MiSeq amplicon sequencing (V4, 515 F/806 R) and on esophageal expression of IL18, PTGS2, PPARA, FFAR3, and CRAT. The relationships among Metabolic Parameters, esophageal microbiota, and host gene expression were determined. We observed a significant difference between the upper and lower esophageal microbiota in control fed rats, emphasized by enrichment of Lactobacillus species in the lower esophagus. Rats on HFD gained significantly more fat and had reduced insulin sensitivity. Diet type significantly affected the esophageal microbiota, with Clostridium sensu stricto being enriched in both upper and lower segments of HFD fed rats. Of interest, bacterial pathways related to carotenoid biosynthesis were significantly decreased in the lower esophagus of HFD fed rats. We observed strong correlations between Metabolic Parameters, the esophageal microbial profiles, and host esophageal gene expression. In particular, Fusobacterium, Rothia, and Granulicatella showed consistent correlations across a range of Metabolic and gene markers. Our data indicates that unhealthy diets can significantly alter the esophageal microbiota, and enrich for bacterial species previously associated with chronic gastrointestinal diseases.
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changes in gut microbiota in rats fed a high fat diet correlate with obesity associated Metabolic Parameters
PLOS ONE, 2015Co-Authors: Virginie Lecomte, No Kaakoush, Christopher A Maloney, Mukesh Raipuria, Karina D Huinao, Hazel M Mitchell, Margaret J MorrisAbstract:The gut microbiota is emerging as a new factor in the development of obesity. Many studies have described changes in microbiota composition in response to obesity and high fat diet (HFD) at the phylum level. In this study we used 16s RNA high throughput sequencing on faecal samples from rats chronically fed HFD or control chow (n = 10 per group, 16 weeks) to investigate changes in gut microbiota composition at the species level. 53.17% dissimilarity between groups was observed at the species level. Lactobacillus intestinalis dominated the microbiota in rats under the chow diet. However this species was considerably less abundant in rats fed HFD (P<0.0001), this being compensated by an increase in abundance of propionate/acetate producing species. To further understand the influence of these species on the development of the obese phenotype, we correlated their abundance with Metabolic Parameters associated with obesity. Of the taxa contributing the most to dissimilarity between groups, 10 presented significant correlations with at least one of the tested Parameters, three of them correlated positively with all Metabolic Parameters: Phascolarctobacterium, Proteus mirabilis and Veillonellaceae, all propionate/acetate producers. Lactobacillus intestinalis was the only species whose abundance was negatively correlated with change in body weight and fat mass. This species decreased drastically in response to HFD, favouring propionate/acetate producing bacterial species whose abundance was strongly correlated with adiposity and deterioration of Metabolic factors. Our observations suggest that these species may play a key role in the development of obesity in response to a HFD.
Vania Lucia Loro - One of the best experts on this subject based on the ideXlab platform.
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toxicological and Metabolic Parameters of the teleost fish leporinus obtusidens in response to commercial herbicides containing clomazone and propanil
Pesticide Biochemistry and Physiology, 2009Co-Authors: Bibiana Silveira Moraes, Vania Lucia Loro, Alexandra Pretto, Milene Braga Da Fonseca, Charlene Menezes, Enio Marchesan, Geovane Boschmann Reimche, Luis Antonio De AvilaAbstract:Pesticides, such as herbicides can affect the Metabolic and toxicological Parameters on fish. For this reason, an experiment was carried out with the objective of to evaluate the effects of commercial formulations of clomazone and propanil herbicides on acetylcholinesterase (AChE), thiobarbituric acid-reactive substances (TBARS), catalase (CAT) and Metabolic Parameters in teleost fish (Leporinus obtusidens). Fish were exposed during 90 days to field measured concentration of the herbicides clomazone and propanil (376 and 1644 μg/L, respectively) on rice paddy water. Specific AChE activity in the brain and muscle decreased and TBARS levels decreased in brain, muscle and liver tissues. Liver catalase decreased after exposure to both herbicides. Metabolic Parameters in the liver and white muscle showed different changes after exposure to both herbicides. In summary, the results showed that clomazone and propanil affects toxicological and Metabolic Parameters of piavas. These results suggest that environmentally relevant herbicides concentrations are toxic to Leporinus obtusidens.
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ammonia and ph effects on some Metabolic Parameters and gill histology of silver catfish rhamdia quelen heptapteridae
Aquaculture, 2008Co-Authors: Denise Dos Santos Miron, Bibiana Silveira Moraes, Vania Lucia Loro, Alexssandro Geferson Becker, Marcia Crestani, Roselia Maria Spanevello, Bernardo BaldisserottoAbstract:Abstract The aim of the present study was to assess the effect of ammonia exposure at different pH on survivorship and Metabolic Parameters in the liver, muscle and gill histology of silver catfish ( Rhamdia quelen ). The 96 h-LC50 of un-ionized ammonia (mg L − 1 ) at pH 6.0, 7.5 and 8.2 were: 0.44 (C.I. 0.38–0.49), 1.45 (C.I. 1.25–1.65) and 2.09 (C.I. 1.85–2.36), respectively. Survival of juveniles exposed to different ammonia levels was altered by pH, and fish exposed to all ammonia levels and different pH showed muscle glucose, muscle and liver glycogen reduction. Liver glucose and muscle and liver lactate levels increased in all fish exposed to ammonia as compared to the control. Exposure to waterborne ammonia increased total ammonia levels in both tissues and also induced gill epithelium damages such as lamellar fusion and edema as compared with controls at different pH. Silver catfish exposed to pH 6.0 and different NH 3 levels presented significantly higher hepatic glucose and protein levels when compared to those maintained at low NH 3 levels. Juveniles exposed to NH 3 levels at pH 7.5 and 8.2 showed lower hepatic protein levels compared to those maintained at low NH 3 levels. These Parameters are indicative of pH dependence on ammonia toxicity in silver catfish. The Metabolic Parameters and gill histology may be used as early indicators of ammonia toxicity in silver catfish.
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the 2 4 d herbicide effects on acetylcholinesterase activity and Metabolic Parameters of piava freshwater fish leporinus obtusidens
Ecotoxicology and Environmental Safety, 2008Co-Authors: Milene Braga Da Fonseca, Bibiana Silveira Moraes, Alexandra Pretto, Charlene Menezes, Lissandra Glusczak, Miguel Angel Tierno, Renato Zanella, Fabio Ferreira Goncalves, Vania Lucia LoroAbstract:Abstract The effects of 2,4-D (1 or 10 mg/L) on acetylcholinesterase (AChE) and Metabolic Parameters were evaluated in piava ( Leporinus obtusidens ) after 96 h. AChE activity was significantly reduced in the brain at a concentration of 10 mg/L and in the muscle at both concentrations tested. Muscle glycogen and lactate were significantly reduced for both 2,4-D concentrations but no significant change was observed in liver glycogen. Muscle protein levels were enhanced after exposure at 10 mg/L, but no significant changes were observed in muscle and liver glucose. Liver lactate and protein were significantly reduced after exposure to this herbicide. 2,4-D exposure produced a decrease in blood glucose at both concentrations and enhanced lactate levels at 10 mg/L. Plasma protein increased at both concentrations tested. In conclusion, the results obtained indicate that 2,4-D affects brain and muscle AChE activity and some blood and tissue Metabolic Parameters of L. obtusidens. The stress generated by 2,4-D is the probable cause of alterations observed and measured Parameters can be used to monitor 2,4-D fish toxicity.
No Kaakoush - One of the best experts on this subject based on the ideXlab platform.
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cross talk among Metabolic Parameters esophageal microbiota and host gene expression following chronic exposure to an obesogenic diet
Scientific Reports, 2017Co-Authors: No Kaakoush, Virginie Lecomte, Christopher A Maloney, Margaret J MorrisAbstract:Unhealthy diets, and ensuing weight gain, predispose individuals to the development of esophageal adenocarcinoma. We examined the effect of chronic high fat diet (HFD) on the esophageal microbiota of Sprague Dawley rats using Illumina MiSeq amplicon sequencing (V4, 515 F/806 R) and on esophageal expression of IL18, PTGS2, PPARA, FFAR3, and CRAT. The relationships among Metabolic Parameters, esophageal microbiota, and host gene expression were determined. We observed a significant difference between the upper and lower esophageal microbiota in control fed rats, emphasized by enrichment of Lactobacillus species in the lower esophagus. Rats on HFD gained significantly more fat and had reduced insulin sensitivity. Diet type significantly affected the esophageal microbiota, with Clostridium sensu stricto being enriched in both upper and lower segments of HFD fed rats. Of interest, bacterial pathways related to carotenoid biosynthesis were significantly decreased in the lower esophagus of HFD fed rats. We observed strong correlations between Metabolic Parameters, the esophageal microbial profiles, and host esophageal gene expression. In particular, Fusobacterium, Rothia, and Granulicatella showed consistent correlations across a range of Metabolic and gene markers. Our data indicates that unhealthy diets can significantly alter the esophageal microbiota, and enrich for bacterial species previously associated with chronic gastrointestinal diseases.
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Cross-talk among Metabolic Parameters, esophageal microbiota, and host gene expression following chronic exposure to an obesogenic diet
'Springer Science and Business Media LLC', 2017Co-Authors: No Kaakoush, Ca Maloney, Mj MorrisAbstract:© 2017 The Author(s). Unhealthy diets, and ensuing weight gain, predispose individuals to the development of esophageal adenocarcinoma. We examined the effect of chronic high fat diet (HFD) on the esophageal microbiota of Sprague Dawley rats using Illumina MiSeq amplicon sequencing (V4, 515 F/806 R) and on esophageal expression of IL18, PTGS2, PPARA, FFAR3, and CRAT. The relationships among Metabolic Parameters, esophageal microbiota, and host gene expression were determined. We observed a significant difference between the upper and lower esophageal microbiota in control fed rats, emphasized by enrichment of Lactobacillus species in the lower esophagus. Rats on HFD gained significantly more fat and had reduced insulin sensitivity. Diet type significantly affected the esophageal microbiota, with Clostridium sensu stricto being enriched in both upper and lower segments of HFD fed rats. Of interest, bacterial pathways related to carotenoid biosynthesis were significantly decreased in the lower esophagus of HFD fed rats. We observed strong correlations between Metabolic Parameters, the esophageal microbial profiles, and host esophageal gene expression. In particular, Fusobacterium, Rothia, and Granulicatella showed consistent correlations across a range of Metabolic and gene markers. Our data indicates that unhealthy diets can significantly alter the esophageal microbiota, and enrich for bacterial species previously associated with chronic gastrointestinal diseases
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changes in gut microbiota in rats fed a high fat diet correlate with obesity associated Metabolic Parameters
PLOS ONE, 2015Co-Authors: Virginie Lecomte, No Kaakoush, Christopher A Maloney, Mukesh Raipuria, Karina D Huinao, Hazel M Mitchell, Margaret J MorrisAbstract:The gut microbiota is emerging as a new factor in the development of obesity. Many studies have described changes in microbiota composition in response to obesity and high fat diet (HFD) at the phylum level. In this study we used 16s RNA high throughput sequencing on faecal samples from rats chronically fed HFD or control chow (n = 10 per group, 16 weeks) to investigate changes in gut microbiota composition at the species level. 53.17% dissimilarity between groups was observed at the species level. Lactobacillus intestinalis dominated the microbiota in rats under the chow diet. However this species was considerably less abundant in rats fed HFD (P<0.0001), this being compensated by an increase in abundance of propionate/acetate producing species. To further understand the influence of these species on the development of the obese phenotype, we correlated their abundance with Metabolic Parameters associated with obesity. Of the taxa contributing the most to dissimilarity between groups, 10 presented significant correlations with at least one of the tested Parameters, three of them correlated positively with all Metabolic Parameters: Phascolarctobacterium, Proteus mirabilis and Veillonellaceae, all propionate/acetate producers. Lactobacillus intestinalis was the only species whose abundance was negatively correlated with change in body weight and fat mass. This species decreased drastically in response to HFD, favouring propionate/acetate producing bacterial species whose abundance was strongly correlated with adiposity and deterioration of Metabolic factors. Our observations suggest that these species may play a key role in the development of obesity in response to a HFD.
Shuqiang Zhao - One of the best experts on this subject based on the ideXlab platform.
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prognostic significance of Metabolic Parameters measured by 18f fluorodeoxyglucose positron emission tomography computed tomography in patients with small cell lung cancer
Lung Cancer, 2011Co-Authors: Dongyuan Zhu, Zuoxing Niu, Jinsong Zheng, Anqin Han, Shuqiang ZhaoAbstract:Summary Objective The aim of this study was to evaluate the prognostic significance of some Metabolic Parameters measured by 18 F-fluorodeoxyglucose positron emission tomography/computed tomography ( 18 F-FDG PET/CT) in patients with small cell lung cancer (SCLC). Methods We retrospectively reviewed 98 patients with pathologically proven SCLC who underwent pre-treatment 18 F-FDG PET/CT. Metabolic tumor volume (MTV), integrated standardized uptake value (iSUV) and average SUV (SUV mean ) of all malignant lesions, and maximum SUV (SUV max ) of the primary tumor were measured by 18 F-FDG PET/CT. We determined the relationship between overall survival (OS) and progression free survival (PFS) and these PET Metabolic Parameters. Results The estimated median OS and PFS for the entire cohort were 16.7 months and 9.8 months. The patients with larger MTV had significantly shorter median OS (9.6 months vs 23.2 months, P P max did not show correlation with OS and PFS. In subgroup analysis, limited disease (LD) with larger MTV showed significantly shorter median OS and PFS than LD with smaller MTV. Extensive disease (ED) with larger MTV also had significantly shorter median OS and PFS than the same stage with smaller MTV. Conclusions MTV and iSUV are important independent prognostic factors for survival in patients with SCLC. Either MTV or iSUV may identify subgroups of patients at higher risk of progression or death in both LD and ED SCLC.
Leih-ching Tsai - One of the best experts on this subject based on the ideXlab platform.
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Correlation of magnesium intake with Metabolic Parameters, depression and physical activity in elderly type 2 diabetes patients: a cross-sectional study.
Nutrition Journal, 2012Co-Authors: Jui-hua Huang, Fu-chou Cheng, John Ning-yuean Lee, Leih-ching TsaiAbstract:Background Type 2 diabetes mellitus is a major global public health problem in the worldwide and is increasing in aging populations. Magnesium intake may be one of the most important factors for diabetes prevention and management. Low magnesium intake may exacerbate Metabolic abnormalities. In this study, the relationships of magnesium intake with Metabolic Parameters, depression and physical activity in elderly patients with type 2 diabetes were investigated.