Possible metabolic interplay between quality of life and fecal microbiota in a presenior population: Preliminary results.

Nutrition

Center for Nutrition Research, Department of Nutrition, Food Sciences and Physiology, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research, Pamplona, Spain; Carlos III Institute of Health, CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain. Electronic address:

Published: November 2022

AI Article Synopsis

  • The study focused on understanding the relationship between gut microbiota and quality of life in individuals aged 50-80.
  • Researchers analyzed fecal samples and utilized the SF-36 questionnaire to assess quality of life, finding specific bacteria linked to higher or lower scores.
  • Actinobacteria was positively associated with better quality of life, while Peptostreptococcaceae was linked to poorer quality, suggesting that gut bacteria could help predict overall well-being in older adults.

Article Abstract

Objectives: 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 questionnaire, fecal samples were collected in cryotubes, and 16S RNA gene sequencing was performed to characterize 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 relative abundance of Actinobacteria and Peptostreptococcaceae may be useful to predict quality of life in a presenior population (area under the curve: 0.71).

Conclusions: Quality of life may be associated with the relative abundance of certain bacteria, especially Actinobacteria 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.

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Source
http://dx.doi.org/10.1016/j.nut.2022.111841DOI Listing

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