0000000000320115

AUTHOR

José-manuel Fernández-real

showing 13 related works from this author

Additional file 2 of Gut bacterial ClpB-like gene function is associated with decreased body weight and a characteristic microbiota profile

2020

Additional file 2. Alignments of the mimetic amino acid motif of the α-MSH, the ClpB from E. coli str K12 and the predicted ORFs from each sequence of the samples 1, 30 and 143.

bacteria
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Additional file 1 of Gut microbiota steroid sexual dimorphism and its impact on gonadal steroids: influences of obesity and menopausal status

2020

Additional file 1: Supplementary Table 1. Clinical characteristics of subjects after 1-year follow-up according to the gender and menopausal status.

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Additional file 5 of Gut microbiota steroid sexual dimorphism and its impact on gonadal steroids: influences of obesity and menopausal status

2020

Additional file 5: Supplementary Table 5. MRM parameters for determination of steroids and isotopically labelled standards by LC–MS/MS.

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ITCH E3 ubiquitin ligase downregulation compromises hepatic degradation of branched-chain amino acids

2022

Objective: Metabolic syndrome, obesity, and steatosis are characterized by a range of dysregulations including defects in ubiquitin ligase tagging proteins for degradation. The identification of novel hepatic genes associated with fatty liver disease and metabolic dysregulation may be relevant to unravelling new mechanisms involved in liver disease progression Methods: Through integrative analysis of liver transcriptomic and metabolomic obtained from obese subjects with steatosis, we identified itchy E ubiquitin protein ligase (ITCH) as a gene downregulated in human hepatic tissue in relation to steatosis grade. Wild-type or ITCH knockout mouse models of non-alcoholic fatty liver disease (N…

Mice KnockoutBCAAm Metabolomic NAFLD TranscriptomicsUbiquitin-Protein Ligases[SDV]Life Sciences [q-bio]Liver NeoplasmsDown-RegulationBCAA; Metabolomics; NAFLD; Transcriptomics.Settore MED/09Cell BiologyMiceNon-alcoholic Fatty Liver DiseaseNAFLDotorhinolaryngologic diseasesAnimalsHumansMetabolomicsFemaleObesityBCAAskin and connective tissue diseasesTranscriptomicsMolecular BiologyAmino Acids Branched-Chain
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Additional file 3 of Gut microbiota steroid sexual dimorphism and its impact on gonadal steroids: influences of obesity and menopausal status

2020

Additional file 3: Supplementary Table 3. DESeq2 results for the differential expressed bacterial taxa between post-menopausal women and men.

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Additional file 2 of Gut microbiota steroid sexual dimorphism and its impact on gonadal steroids: influences of obesity and menopausal status

2020

Additional file 2: Supplementary Table 2. DESeq2 results for the differential expressed bacterial taxa between pre-menopausal women and men.

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Additional file 6 of Gut microbiota steroid sexual dimorphism and its impact on gonadal steroids: influences of obesity and menopausal status

2020

Additional file 6: Supplementary Figure 1. Associations of gut microbiota composition in non-obese and obese subjects and bacterial families with gender and menopause status. Alpha diversity indices in a) non-obese and b) obese individuals. Beta diversity in non-obese subjects measured by c)Bray-Curtis and d) weighted unifrac. Beta diversity in obese subjects measured by e) Bray-Curtis and f) weighted unifrac. Overall differences in the microbiome composition among groups were assessed by PERMANOVA using 1000 permutations and pairwise differences between groups were assessed using the pairwise.adonis function adjusted for Bonferroni correction. *,P < 0.05; **, P < 0.01.g) Volcano plot…

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Additional file 4 of Gut microbiota steroid sexual dimorphism and its impact on gonadal steroids: influences of obesity and menopausal status

2020

Additional file 4: Supplementary Table 4. DESeq2 results for the differential expressed bacterial taxa between pre-menopausal women and post-menopausal women.

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Additional file 1 of Gut bacterial ClpB-like gene function is associated with decreased body weight and a characteristic microbiota profile

2020

Additional file 1. Top 10 bacterial taxa (family level) contributing reads to the gut bacterial ClpB-like function, in absolute and relative figures per sample.

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Additional file 7 of Gut microbiota steroid sexual dimorphism and its impact on gonadal steroids: influences of obesity and menopausal status

2020

Additional file 7: Supplementary Figure 2. Associations of gut microbiota functionality with gender and menopause status in non-obese subjects. a) Fold change for the significant differential KEGG pathways between pre-menopausal women and men, and b) pre- and post-menopausal women, identified by DESeq2 adjusting for age and obesity status. Bars are colored according to the Benjamini-Hochberg corrected p values (pFDR).

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Additional file 8 of Gut microbiota steroid sexual dimorphism and its impact on gonadal steroids: influences of obesity and menopausal status

2020

Additional file 8: Supplementary Figure 3. Gender and menopausal status differences in gonadal steroids according to the obesity status. Boxplots for the concentrations of progestin,androgens, and estrogens converted to base 10 logarithmic values. Differences among groups were analyzed by a Kruskal-Wallis test, and pair-wise comparisons were assessed by the Wilcoxon test. Significant differences are highlighted in bold italics.

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Additional file 3 of Gut bacterial ClpB-like gene function is associated with decreased body weight and a characteristic microbiota profile

2020

Additional file 3. Alignments. Alignment motif of the α-MSH and percentage of identity between the E. coli motif and the identified microbial counterparts in each sequence. Bacterial family identity: Average identity of the epitope in each bacterial family compared to the motif in E. coli as well as the distribution of families through the samples according to their degree of homology.

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Additional file 9 of Gut microbiota steroid sexual dimorphism and its impact on gonadal steroids: influences of obesity and menopausal status

2020

Additional file 9: Supplementary Figure 4. Gut microbial associations with circulating testosterone concentrations. a) Permutation tests for the goodness-of-fit (R2Y) and goodness of prediction (Q2Y) for the O-PLS model predicting plasma testosterone levels from bacterial families in non-obese individuals. b) Significant gut bacterial families identified by O-PLS modeling. c) Permutation tests for the goodness-of-fit (R2Y) and goodness of prediction (Q2Y) for the O-PLS model predicting plasma testosterone levels after 1-year follow-up from bacterial families at baseline in humans. d) Significant gut bacterial families identified by O-PLS modeling. e) Permutation tests for the goodness-of-fi…

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