scholarly journals Brain responses to anticipatory cues and milkshake taste in obesity, and their relationship to bariatric surgery outcome

NeuroImage ◽  
2021 ◽  
Vol 245 ◽  
pp. 118623
Author(s):  
Marinka M.G. Koenis ◽  
Pavlos K. Papasavas ◽  
Ronald J. Janssen ◽  
Darren S. Tishler ◽  
Godfrey D. Pearlson
2021 ◽  
Vol 89 (9) ◽  
pp. S260
Author(s):  
Marinka Koenis ◽  
Pavlos Papasavas ◽  
Darren Tishler ◽  
Godfrey Pearlson

2019 ◽  
Vol 29 (5) ◽  
pp. 1583-1592 ◽  
Author(s):  
Sarfaraz J. Baig ◽  
◽  
Pallawi Priya ◽  
Kamal K. Mahawar ◽  
Sumeet Shah

Open Medicine ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. 407-415 ◽  
Author(s):  
Stefania Cella ◽  
Landino Fei ◽  
Rosa D’Amico ◽  
Cristiano Giardiello ◽  
Alfredo Allaria ◽  
...  

AbstractObjectiveThe present study sought to: 1) assess the prevalence of Binge Eating Disorder (BED) and abnormal eating behaviors in bariatric surgery candidates; 2) compare patients with and without BED as regards to eating disturbances, psychological characteristics, and health status; 3) individuate which factors were significantly related to binge eating severity.MethodsSixty-three preoperative patients (17 males and 46 females) were screened by means of an ad hoc socio-demographic schedule, the Rosenberg Self-Esteem Scale, the Eating Disorders Inventory-3, the Binge Eating Scale, and the General Health Questionnaire-28. BED diagnosis was performed through a clinical interview.ResultsBED and disordered eating, such as episodes of binge eating, sense of lack of control over eating and inappropriate compensatory behaviors, appear common in patients undergoing weight loss surgery. Significant differences between BED and non-BED subjects in relation to eating disturbances and psychological characteristics emerged. Multiple regression analysis revealed that only emotional dys-regulation significantly predicted binge eating vulnerability.ConclusionThe recognition of factors involved in the development and maintenance of disordered eating in bariatric patients may support the choice of particular therapeutic strategies and improve bariatric surgery outcome. Further studies on this issue would be useful.


2019 ◽  
Vol 7 (10) ◽  
pp. 743-745
Author(s):  
Xabier Unamuno ◽  
Piero Portincasa ◽  
Gema Frühbeck

2019 ◽  
Author(s):  
yoram louzoun ◽  
Meirav Ben Izhak ◽  
Ruti Cohen ◽  
Liora Madar Shapiro ◽  
Hamutal Meiri ◽  
...  

Abstract Background: Bariatric surgery is often the preferred method to resolve obesity and diabetes, with ~800,000 cases worldwide yearly and high outcome variability. The ability to predict the long-term BMI change following surgery has important implications on individuals and the health care system in general. Given the tight connection between eating habits, sugar consumption, BMI and the gut microbiome, we tested whether the microbiome before any treatment is associated with different treatment outcomes, as well as other intakes (HDL, Triglycerides, etc.).Results: A projection of the gut microbiome composition of obese (sampled before and after bariatric surgery) and slim patients into principal components was performed and the relation between this projection and surgery outcome was studied. The projection reveals 3 different microbiome profiles belonging to slim, obese and obese who underwent bariatric surgery, with post-surgery more different from the slim than the obese. The same projection allows for a prediction of BMI loss following bariatric surgery, using only the pre-surgery microbiome. A different projection is associated with sugar metabolism and A1C levels. Conclusions: - the gut microbiome can be naturally decomposed into main components depicting the patient's development and predicting in advance the outcome. Those may be translated into a better clinical management of obese individuals planning to undergo metabolic surgery.


mSystems ◽  
2021 ◽  
Author(s):  
Meirav Ben Izhak ◽  
Adi Eshel ◽  
Ruti Cohen ◽  
Liora Madar-Shapiro ◽  
Hamutal Meiri ◽  
...  

BMI and diabetes can affect the gut microbiome composition. Bariatric surgery has large variabilities in the outcome.


2019 ◽  
Vol 30 (2) ◽  
pp. 470-477 ◽  
Author(s):  
M.I. Cooiman ◽  
L. Kleinendorst ◽  
E.O. Aarts ◽  
I.M.C. Janssen ◽  
H.K. Ploos van Amstel ◽  
...  

2020 ◽  
Author(s):  
Meirav Ben Izhak ◽  
Adi Eshel ◽  
Ruti Cohen ◽  
Liora Madar Shapiro ◽  
Hamutal Meiri ◽  
...  

AbstractBackgroundBariatric surgery is often the preferred method to resolve obesity and diabetes, with ~800,000 cases worldwide yearly and high outcome variability. The ability to predict the long-term Body Mass Index (BMI) change following surgery has important implications on individuals and the health care system in general. Given the tight connection between eating habits, sugar consumption, BMI, and the gut microbiome, we tested whether the microbiome before any treatment is associated with different treatment outcomes, as well as other intakes (high-density lipoproteins (HDL), Triglycerides, etc.).ResultsA projection of the gut microbiome composition of obese (sampled before and after bariatric surgery) and slim patients into principal components was performed and the relation between this projection and surgery outcome was studied. The projection reveals 3 different microbiome profiles belonging to slim, obese, and obese who underwent bariatric surgery, with post-surgery more different from the slim than the obese. The same projection allowed for a prediction of BMI loss following bariatric surgery, using only the pre-surgery microbiome.ConclusionsThe gut microbiome can be decomposed into main components depicting the patient’s development and predicting in advance the outcome. Those may be translated into better clinical management of obese individuals planning to undergo metabolic surgery.ImportanceBMI and diabetes can affect the gut microbiome composition.Bariatric surgery has large variabilities in outcome.The microbiome was previously shown to be a good predictor for multiple diseases.We analyzed here the gut microbiome before and after bariatric surgery and show that: The microbiome before surgery can be used to predict surgery outcome.Post-surgery microbiome drifts further away from the slim microbiome than pre-surgery obese patients.These results can lead to a microbiome-based pre-surgery decision whether to perform surgery.


Sign in / Sign up

Export Citation Format

Share Document