Longitudinal analysis of the gut microbiome in adolescent patients with anorexia nervosa: microbiome-related factors associated with clinical outcome
Author:
Andreani Nadia AndreaORCID, Sharma ArunabhORCID, Dahmen Brigitte, Specht Hannah E., Mannig Nina, Ruan Vanessa, Keller Lara, Baines John F., Herpertz-Dahlmann BeateORCID, Dempfle AstridORCID, Seitz JochenORCID
Abstract
There is mounting evidence regarding the role of gut microbiota in anorexia nervosa (AN). Previous studies have reported that patients with AN show dysbiosis compared to healthy controls (HCs); however, the underlying mechanisms are unclear, and data on influencing factors and longitudinal course of microbiome changes are scarce. Here, we present longitudinal data of 57 adolescent inpatients diagnosed with AN at up to nine time points (including a 1-year follow-up examination) and compare these to up to six time points in 34 HCs. 16S rRNA gene sequencing was used to investigate the microbiome composition of fecal samples, and data on food intake, weight change, hormonal recovery (leptin levels), and clinical outcomes were recorded. Differences in microbiome composition compared to HCs were greatest during acute starvation and in the low-weight group, while diminishing with weight gain and especially weight recovery at the 1-year follow-up. Illness duration and prior weight loss were strongly associated with microbiome composition at hospital admission, whereas microbial changes during treatment were associated with kilocalories consumed, weight gain, and hormonal recovery. The microbiome at admission was prognostic for hospital readmission, and a higher abundance ofSutterellawas associated with a higher body weight at the 1-year follow-up. Identifying these clinically important factors further underlines the potential relevance of gut microbial changes and may help elucidate the underlying pathophysiology of gut-brain interactions in AN. The characterization of prognostically relevant taxa could be useful to stratify patients at admission and to potentially identify candidate taxa for future supplementation studies aimed at improving AN treatment.
Publisher
Cold Spring Harbor Laboratory
Reference65 articles.
1. Anderson, M. J. (2017). Permutational Multivariate Analysis of Variance (PERMANOVA). In N. Balakrishnan , T. Colton , B. Everitt , W. Piegorsch , F. Ruggeri , & J. L. Teugels (Eds.), Wiley StatsRef: Statistics Reference Online (1st ed., pp. 1–15). Wiley. https://doi.org/10.1002/9781118445112.stat07841 2. Mortality Rates in Patients With Anorexia Nervosa and Other Eating Disorders 3. Correcting for 16S rRNA gene copy numbers in microbiome surveys remains an unsolved problem 4. Bolyen, E. , Rideout, J. R. , Dillon, M. , Bokulich, N. , Abnet, C. , Al-Ghalith, G. , Alexander, H. , Alm, E. , Arumugam, M. , Asnicar, F. , Bai, Y. , Bisanz, J. , Bittinger, K. , Brejnrod, A. , Brislawn, C ., Brown, C. T. , Callahan, B. , Caraballo-Rodríguez, A. M. , Chase, J. , … Caporaso, J. G. (2018). QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science. PeerJ. https://doi.org/10.7287/peerj.preprints.27295 5. Microbiota in anorexia nervosa: The triangle between bacterial species, metabolites and psychological tests
|
|