Literature DB >> 35426747

The Neuro-Endo-Microbio-Ome Study: A Pilot Study of Neurobiological Alterations Pre- Versus Post-Bariatric Surgery.

Khushbu Agarwal1,2, Katherine A Maki3, Carlotta Vizioli1,2, Susan Carnell4, Ethan Goodman4, Matthew Hurley4, Civonnia Harris5, Rita Colwell6,7,8, Kimberley Steele5,9, Paule V Joseph1,2.   

Abstract

BACKGROUND: Plausible phenotype mechanisms following bariatric surgery include changes in neural and gastrointestinal physiology. This pilot study aims to investigate individual and combined neurologic, gut microbiome, and plasma hormone changes pre- versus post-vertical sleeve gastrectomy (VSG), Roux-en-Y gastric bypass (RYGB), and medical weight loss (MWL). We hypothesized post-weight loss phenotype would be associated with changes in central reward system brain connectivity, differences in postprandial gut hormone responses, and increased gut microbiome diversity.
METHODS: Subjects included participants undergoing VSG, n = 7; RYGB, n = 9; and MWL, n = 6. Ghrelin, glucagon-like peptide-1, peptide-YY, gut microbiome, and resting state functional magnetic resonance imaging (rsfMRI; using fractional amplitude of low-frequency fluctuations [fALFF]) were measured pre- and post-intervention in fasting and fed states. We explored phenotype characterization using clustering on gut hormone, microbiome, and rsfMRI datasets and a combined analysis.
RESULTS: We observed more widespread fALFF differences post-bariatric surgery versus post-MWL. Decreased post-prandial fALFF was seen in food reward regions post-RYGB. The highest number of microbial taxa that increased post-intervention occurred in the RYGB group, followed by VSG and MWL. The combined hormone, microbiome, and MRI dataset most accurately clustered samples into pre- versus post-VSG phenotypes followed by RYGB subjects.
CONCLUSION: The data suggest surgical weight loss (VSG and RYGB) has a bigger impact on brain and gut function versus MWL and leads to lesser post-prandial activation of food-related neural circuits. VSG subjects had the greatest phenotype differences in interactions of microbiome, rsfMRI, and gut hormone features, followed by RYGB and MWL. These results will inform future prospective research studying gut-brain changes post-bariatric surgery.

Entities:  

Keywords:  Roux-en-Y gastric bypass; bariatric surgery; cognition; gut hormones; gut microbiome; obesity; resting state functional magnetic resonance imaging; vertical sleeve gastrectomy

Mesh:

Year:  2022        PMID: 35426747      PMCID: PMC9343885          DOI: 10.1177/10998004221085976

Source DB:  PubMed          Journal:  Biol Res Nurs        ISSN: 1099-8004            Impact factor:   2.318


  58 in total

1.  Postprandial plasma bile acid responses in normal weight and obese subjects.

Authors:  C Glicksman; D J Pournaras; M Wright; R Roberts; D Mahon; R Welbourn; R Sherwood; J Alaghband-Zadeh; C W le Roux
Journal:  Ann Clin Biochem       Date:  2010-07-01       Impact factor: 2.057

2.  Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI.

Authors:  Yu-Feng Zang; Yong He; Chao-Zhe Zhu; Qing-Jiu Cao; Man-Qiu Sui; Meng Liang; Li-Xia Tian; Tian-Zi Jiang; Yu-Feng Wang
Journal:  Brain Dev       Date:  2006-08-17       Impact factor: 1.961

Review 3.  Obesity affects brain structure and function- rescue by bariatric surgery?

Authors:  Minke H C Nota; Debby Vreeken; Maximilian Wiesmann; Edo O Aarts; Eric J Hazebroek; Amanda J Kiliaan
Journal:  Neurosci Biobehav Rev       Date:  2019-11-30       Impact factor: 8.989

4.  The obese brain: association of body mass index and insulin sensitivity with resting state network functional connectivity.

Authors:  Stephanie Kullmann; Martin Heni; Ralf Veit; Caroline Ketterer; Fritz Schick; Hans-Ulrich Häring; Andreas Fritsche; Hubert Preissl
Journal:  Hum Brain Mapp       Date:  2011-04-21       Impact factor: 5.038

5.  Suboptimal weight loss after gastric bypass surgery: correlation of demographics, comorbidities, and insurance status with outcomes.

Authors:  Genevieve B Melton; Kimberley E Steele; Michael A Schweitzer; Anne O Lidor; Thomas H Magnuson
Journal:  J Gastrointest Surg       Date:  2007-12-11       Impact factor: 3.452

6.  Reward-related brain activity and behavior are associated with peripheral ghrelin levels in obesity.

Authors:  Volodymyr B Bogdanov; Olena V Bogdanova; Sandra Dexpert; Ines Delgado; Helen Beyer; Agnès Aubert; Bixente Dilharreguy; Cédric Beau; Damien Forestier; Patrick Ledaguenel; Eric Magne; Bruno Aouizerate; Sophie Layé; Guillaume Ferreira; Jennifer Felger; Giuseppe Pagnoni; Lucile Capuron
Journal:  Psychoneuroendocrinology       Date:  2019-11-20       Impact factor: 4.905

7.  Resting-state brain connectivity after surgical and behavioral weight loss.

Authors:  Rebecca J Lepping; Amanda S Bruce; Alex Francisco; Hung-Wen Yeh; Laura E Martin; Joshua N Powell; Laura Hancock; Trisha M Patrician; Florence J Breslin; Niazy Selim; Joseph E Donnelly; William M Brooks; Cary R Savage; W Kyle Simmons; Jared M Bruce
Journal:  Obesity (Silver Spring)       Date:  2015-06-05       Impact factor: 5.002

8.  Can psychobiotics intake modulate psychological profile and body composition of women affected by normal weight obese syndrome and obesity? A double blind randomized clinical trial.

Authors:  Antonino De Lorenzo; Micaela Costacurta; Giuseppe Merra; Paola Gualtieri; Giorgia Cioccoloni; Massimiliano Marchetti; Dimitrios Varvaras; Raffaella Docimo; Laura Di Renzo
Journal:  J Transl Med       Date:  2017-06-10       Impact factor: 5.531

9.  Measuring Change Over Time: A Systematic Review of Evaluative Measures of Cognitive Functioning in Traumatic Brain Injury.

Authors:  Andrea D'Souza; Shirin Mollayeva; Nicole Pacheco; Fiza Javed; Angela Colantonio; Tatyana Mollayeva
Journal:  Front Neurol       Date:  2019-05-08       Impact factor: 4.003

Review 10.  The Oral and Gut Bacterial Microbiomes: Similarities, Differences, and Connections.

Authors:  Katherine A Maki; Narjis Kazmi; Jennifer J Barb; Nancy Ames
Journal:  Biol Res Nurs       Date:  2020-07-21       Impact factor: 2.522

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