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  1. AU="Annarita Oranger"
  2. AU="Atul H Goel"
  3. AU="Green, Stephen T"
  4. AU="Zhu, Heng"
  5. AU="Fiderman Machuca-Martínez"
  6. AU="von Creytz, Isabel"
  7. AU="Kolbe, C"
  8. AU="Thornburg, Courtney D"
  9. AU="Leire Martin-Souto"
  10. AU="Wu, Ji-Chun"
  11. AU="M S Siddiqui"
  12. AU="Gabriel A. Martos-Moreno"
  13. AU="Warburton, W K"
  14. AU="Abbaspour, Faeze"
  15. AU="González-Montalvo, Juan Ignacio"
  16. AU="Emery H Bresnick"
  17. AU="McManus, R J"
  18. AU="Mahmoudi, Hamid Reza"
  19. AU="Lee, Dongil"
  20. AU="T Oni"
  21. AU="Diego R. Pérez-Salicrup"
  22. AU="Verhaaren, Benjamin F J"
  23. AU="Gamoudi, Gamoudi Amor"
  24. AU="Fonseca, Barbara F."
  25. AU="Rubio García, Rafael"
  26. AU="Jiménez-Solano, A"
  27. AU=Mai Huynh Kim
  28. AU=Ellis R J
  29. AU="Carvalho, Aline Carla Araújo"
  30. AU=Gleeson Sarah
  31. AU="Lozier, Alan P."
  32. AU="Perrin, Elodie"
  33. AU="Chung, Haniee"
  34. AU="Jendernalik, Kamila"
  35. AU="Naveira, Horacio F"
  36. AU="Heyliger, Jamie"
  37. AU="García-Fernández, Ciara"
  38. AU="Lee, Mi-Ock"
  39. AU="Pouraliakbar, Hamidreza"
  40. AU="Raina, Hema"
  41. AU="Rosenbaum, David P"
  42. AU="Paulus, Markus"
  43. AU="Nguyen, David Truong"
  44. AU="Khazanchi, Rakesh Kumar"
  45. AU="Agrò, Felice E"
  46. AU="Bücker, Bettina"
  47. AU="Steussy, Bryan W"

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  1. Artikel ; Online: Natural and after colon washing fecal samples

    Elisabetta Piancone / Bruno Fosso / Marinella Marzano / Mariangela De Robertis / Elisabetta Notario / Annarita Oranger / Caterina Manzari / Silvia Bruno / Grazia Visci / Giuseppe Defazio / Anna Maria D’Erchia / Ermes Filomena / Dominga Maio / Martina Minelli / Ilaria Vergallo / Mauro Minelli / Graziano Pesole

    Scientific Reports, Vol 12, Iss 1, Pp 1-

    the two sides of the coin for investigating the human gut microbiome

    2022  Band 14

    Abstract: Abstract To date several studies address the important role of gut microbiome and its interplay with the human host in the health and disease status. However, the selection of a universal sampling matrix representative of the microbial biodiversity ... ...

    Abstract Abstract To date several studies address the important role of gut microbiome and its interplay with the human host in the health and disease status. However, the selection of a universal sampling matrix representative of the microbial biodiversity associated with the gastrointestinal (GI) tract, is still challenging. Here we present a study in which, through a deep metabarcoding analysis of the 16S rRNA gene, we compared two sampling matrices, feces (F) and colon washing feces (CWF), in order to evaluate their relative effectiveness and accuracy in representing the complexity of the human gut microbiome. A cohort of 30 volunteers was recruited and paired F and CWF samples were collected from each subject. Alpha diversity analysis confirmed a slightly higher biodiversity of CWF compared to F matched samples. Likewise, beta diversity analysis proved that paired F and CWF microbiomes were quite similar in the same individual, but remarkable inter-individual variability occurred among the microbiomes of all participants. Taxonomic analysis in matched samples was carried out to investigate the intra and inter individual/s variability. Firmicutes, Bacteroidota, Proteobacteria and Actinobacteriota were the main phyla in both F and CWF samples. At genus level, Bacteirodetes was the most abundant in F and CWF samples, followed by Faecalibacterium, Blautia and Escherichia-Shigella. Our study highlights an inter-individual variability greater than intra-individual variability for paired F and CWF samples. Indeed, an overall higher similarity was observed across matched F and CWF samples, suggesting, as expected, a remarkable overlap between the microbiomes inferred using the matched F and CWF samples. Notably, absolute quantification of total 16S rDNA by droplet digital PCR (ddPCR) revealed comparable overall microbial load between paired F and CWF samples. We report here the first comparative study on fecal and colon washing fecal samples for investigating the human gut microbiome and show that both types of samples may ...
    Schlagwörter Medicine ; R ; Science ; Q
    Thema/Rubrik (Code) 500
    Sprache Englisch
    Erscheinungsdatum 2022-10-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Accurate detection and quantification of SARS-CoV-2 genomic and subgenomic mRNAs by ddPCR and meta-transcriptomics analysis

    Annarita Oranger / Caterina Manzari / Matteo Chiara / Elisabetta Notario / Bruno Fosso / Antonio Parisi / Angelica Bianco / Michela Iacobellis / Morena d’Avenia / Anna Maria D’Erchia / Graziano Pesole

    Communications Biology, Vol 4, Iss 1, Pp 1-

    2021  Band 10

    Abstract: Oranger et al use digital droplet PCR to develop an assay that provides a dynamic snapshot of the levels of SARS-CoV-2 sub-genomic messanger RNA in infected individuals. This has the potential to improve diagnostic accuracy for COVID- ... ...

    Abstract Oranger et al use digital droplet PCR to develop an assay that provides a dynamic snapshot of the levels of SARS-CoV-2 sub-genomic messanger RNA in infected individuals. This has the potential to improve diagnostic accuracy for COVID-19
    Schlagwörter Biology (General) ; QH301-705.5
    Sprache Englisch
    Erscheinungsdatum 2021-10-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Urinary miRNA-27b-3p and miRNA-1228-3p correlate with the progression of Kidney Fibrosis in Diabetic Nephropathy

    Francesca Conserva / Mariagrazia Barozzino / Francesco Pesce / Chiara Divella / Annarita Oranger / Massimo Papale / Fabio Sallustio / Simona Simone / Luigi Laviola / Francesco Giorgino / Anna Gallone / Paola Pontrelli / Loreto Gesualdo

    Scientific Reports, Vol 9, Iss 1, Pp 1-

    2019  Band 11

    Abstract: Abstract Diabetic Nephropathy (DN) is a chronic complication of diabetes and the primary cause of end stage renal disease. Differential diagnosis for DN requires invasive histological investigation, thus there is need for non-invasive biomarkers to ... ...

    Abstract Abstract Diabetic Nephropathy (DN) is a chronic complication of diabetes and the primary cause of end stage renal disease. Differential diagnosis for DN requires invasive histological investigation, thus there is need for non-invasive biomarkers to discriminate among different histological lesions in diabetic patients. With the aim to identify a pattern of differentially expressed miRNAs in kidney biopsies of DN patients, we assayed miRNA expression in kidney biopsies from DN patients, diabetic patients with membranous nephropathy and patients with normal histology. Nine miRNAs were differentially expressed among the three groups, and 2 miRNAs (miR-27b-3p and miR-1228-3p) showed interaction with an ubiquitin-conjugating E2 enzyme variant (UBE2v1). UBE2v1 mediates the formation of lysine 63-linked ubiquitin chains, a mechanism we previously showed as involved in DN kidney fibrosis. Both miRNAs were validated as down-regulated in biopsies and urines of DN patients, possibly affected by DNA methylation. Interestingly, the urinary levels of both miRNAs could also discriminate among different degrees of renal fibrosis. Finally, we showed that the combined urinary expression of both miRNAs was also able to discriminate DN patients from other glomerulonephritides in diabetic patients. In conclusion we identified two miRNAs potentially useful as candidate biomarkers of tubular-interstitial fibrosis in diabetic patients with DN.
    Schlagwörter Medicine ; R ; Science ; Q
    Thema/Rubrik (Code) 610 ; 616
    Sprache Englisch
    Erscheinungsdatum 2019-08-01T00:00:00Z
    Verlag Nature Publishing Group
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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