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dc.creatorCuevillas, B. (Begoña) de-
dc.creatorRiezu-Boj, J.I. (José Ignacio)-
dc.creatorAbete, I. (Itziar)-
dc.creatorZulet, M.A. (María Ángeles)-
dc.creatorGalarregui-Miquelarena, C. (Cristina)-
dc.creatorGonzalez-Navarro, C.J. (Carlos Javier)-
dc.creatorMilagro-Yoldi, F.I. (Fermín Ignacio)-
dc.creatorMartinez, J.A. (José Alfredo)-
dc.creatorNavas-Carretero, S. (Santiago)-
dc.date.accessioned2023-04-27T07:15:11Z-
dc.date.available2023-04-27T07:15:11Z-
dc.date.issued2022-
dc.identifier.citationde-Cuevillas, B. (Begoña); Riezu-Boj, J.I. (José Ignacio); Abete, I. (Itziar); et al. "Possible metabolic interplay between quality of life and fecal microbiota in a presenior population: Preliminary results". Nutrition. 103-104, 2022, 111841es_ES
dc.identifier.issn1873-1244-
dc.identifier.urihttps://hdl.handle.net/10171/66122-
dc.description.abstractObjectives: The number of people aged 60 y is increasing worldwide, so establishing a relationship between lifestyle and health-associated factors, such as gut microbiota in an older population, is important. This study aimed to characterize the gut microbiota of a presenior population, and analyze the association between some bacteria and quality of life with the Short Form (SF) 36 questionnaire. Methods: Participants were adult men and women ages 50 to 80 y (n = 74). In addition to the SF-36 question- naire, fecal samples were collected in cryotubes, and 16S RNA gene sequencing was performed to character- ize microbial features. Participants were classified into two groups according to SF-36 punctuation. Linear and logistic regression models were performed to assess the possible association between any bacterial bowl and SF-36 score. Receiver operating characteristics curves were fitted to define the relative diagnostic strength of different bacterial taxa for the correct determination of quality of life. Results: A positive relationship was established between SF-36 score and Actinobacteria (P = 0.0310; R = 0.2510) compared with Peptostreptococcaceae (P = 0.0259; R = 0.2589), which increased with decreasing quality of life. Logistic regressions models and receiver operating characteristics curves showed that the rela- tive abundance of Actinobacteria and Peptostreptococcaceae may be useful to predict quality of life in a prese- nior population (area under the curve: 0.71). Conclusions: Quality of life may be associated with the relative abundance of certain bacteria, especially Acti- nobacteria and Peptostreptococcaceae, which may have a specific effect on certain markers and health care, which is important to improve quality of life in older populations.es_ES
dc.description.sponsorshipThe authors gratefully acknowledge the financial support from CDTI through the Programa Estrategico CIEN (IDI-20160734), cofounded by the European Regional Development Fund. The physician (B.E. Martínez de Morentin), dietitians (M. Hernandez, N. Hernandez), nurses (C. Castejon, S. Perez), and technicians (V. Ciaurriz, M. Zabala) are thanked for their contribution to the Nutriprecision project. Begoña de Cuevillas appreciates the predoctoral grant received from Congelados de Navarra.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectQuality of lifees_ES
dc.subjectMicrobiotaes_ES
dc.subjectActinobacteriaes_ES
dc.subjectPeptostreptococcaceaees_ES
dc.subjectMental healthes_ES
dc.subjectHealth carees_ES
dc.titlePossible metabolic interplay between quality of life and fecal microbiota in a presenior population: Preliminary resultses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.noteThis is an open access article under the CC BY-NC-ND licensees_ES
dc.identifier.doi10.1016/j.nut.2022.111841-
dadun.citation.publicationNameNutritiones_ES
dadun.citation.startingPage111841es_ES
dadun.citation.volume103-104es_ES
dc.identifier.pmid36183483-

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