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Van Olden CC, Van de Laar AW, Meijnikman AS, Aydin O, Van Olst N, Hoozemans JB, De Brauw LM, Bruin SC, Acherman YIZ, Verheij J, Pyykkö JE, Hagedoorn M, Sanderman R, Bosma NC, Tremaroli V, Lundqvist A, Olofsson LE, Herrema H, Lappa D, Hjorth S, Nielsen J, Schwartz T, Groen AK, Nieuwdorp M, Bäckhed F, Gerdes VEA. A systems biology approach to understand gut microbiota and host metabolism in morbid obesity: design of the BARIA Longitudinal Cohort Study. J Intern Med 2021; 289:340-354. [PMID: 32640105 PMCID: PMC7984244 DOI: 10.1111/joim.13157] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 05/01/2020] [Accepted: 05/25/2020] [Indexed: 12/30/2022]
Abstract
INTRODUCTION Prevalence of obesity and associated diseases, including type 2 diabetes mellitus, dyslipidaemia and non-alcoholic fatty liver disease (NAFLD), are increasing. Underlying mechanisms, especially in humans, are unclear. Bariatric surgery provides the unique opportunity to obtain biopsies and portal vein blood-samples. METHODS The BARIA Study aims to assess how microbiota and their metabolites affect transcription in key tissues and clinical outcome in obese subjects and how baseline anthropometric and metabolic characteristics determine weight loss and glucose homeostasis after bariatric surgery. We phenotype patients undergoing bariatric surgery (predominantly laparoscopic Roux-en-Y gastric bypass), before weight loss, with biometrics, dietary and psychological questionnaires, mixed meal test (MMT) and collect fecal-samples and intra-operative biopsies from liver, adipose tissues and jejunum. We aim to include 1500 patients. A subset (approximately 25%) will undergo intra-operative portal vein blood-sampling. Fecal-samples are analyzed with shotgun metagenomics and targeted metabolomics, fasted and postprandial plasma-samples are subjected to metabolomics, and RNA is extracted from the tissues for RNAseq-analyses. Data will be integrated using state-of-the-art neuronal networks and metabolic modeling. Patient follow-up will be ten years. RESULTS Preoperative MMT of 170 patients were analysed and clear differences were observed in glucose homeostasis between individuals. Repeated MMT in 10 patients showed satisfactory intra-individual reproducibility, with differences in plasma glucose, insulin and triglycerides within 20% of the mean difference. CONCLUSION The BARIA study can add more understanding in how gut-microbiota affect metabolism, especially with regard to obesity, glucose metabolism and NAFLD. Identification of key factors may provide diagnostic and therapeutic leads to control the obesity-associated disease epidemic.
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Affiliation(s)
- C C Van Olden
- From the, Department of Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Experimental Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - A W Van de Laar
- Department of Surgery, Spaarne Gasthuis, Hoofddorp, The Netherlands
| | - A S Meijnikman
- From the, Department of Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Internal Medicine, Spaarne Gasthuis, Hoofddorp, The Netherlands
| | - O Aydin
- From the, Department of Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Internal Medicine, Spaarne Gasthuis, Hoofddorp, The Netherlands
| | - N Van Olst
- From the, Department of Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Internal Medicine, Spaarne Gasthuis, Hoofddorp, The Netherlands
| | - J B Hoozemans
- From the, Department of Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - L M De Brauw
- Department of Surgery, Spaarne Gasthuis, Hoofddorp, The Netherlands
| | - S C Bruin
- Department of Surgery, Spaarne Gasthuis, Hoofddorp, The Netherlands
| | - Y I Z Acherman
- Department of Surgery, Spaarne Gasthuis, Hoofddorp, The Netherlands
| | - J Verheij
- Department of Pathology, Amsterdam UMC, Amsterdam, The Netherlands
| | - J E Pyykkö
- Department of Health Psychology, Groningen UMC, Groningen, The Netherlands
| | - M Hagedoorn
- Department of Health Psychology, Groningen UMC, Groningen, The Netherlands
| | - R Sanderman
- Department of Health Psychology, Groningen UMC, Groningen, The Netherlands
| | - N C Bosma
- From the, Department of Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - V Tremaroli
- Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Goteborg, Sweden
| | - A Lundqvist
- Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Goteborg, Sweden
| | - L E Olofsson
- Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Goteborg, Sweden
| | - H Herrema
- Department of Experimental Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - D Lappa
- Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - S Hjorth
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Kobenhavn, Denmark
| | - J Nielsen
- Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - T Schwartz
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Kobenhavn, Denmark
| | - A K Groen
- Department of Experimental Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - M Nieuwdorp
- From the, Department of Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Experimental Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - F Bäckhed
- Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Goteborg, Sweden.,Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Kobenhavn, Denmark.,Department of Clinical Physiology, Region Västtra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - V E A Gerdes
- From the, Department of Vascular Medicine, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Internal Medicine, Spaarne Gasthuis, Hoofddorp, The Netherlands
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Meijnikman AS, Aydin O, Prodan A, Tremaroli V, Herrema H, Levin E, Acherman Y, Bruin S, Gerdes VE, Backhed F, Groen AK, Nieuwdorp M. Distinct differences in gut microbial composition and functional potential from lean to morbidly obese subjects. J Intern Med 2020; 288:699-710. [PMID: 32633011 DOI: 10.1111/joim.13137] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 04/20/2020] [Accepted: 05/14/2020] [Indexed: 12/21/2022]
Abstract
INTRODUCTION The gut microbiome may contribute to the development of obesity. So far, the extent of microbiome variation in people with obesity has not been determined in large cohorts and for a wide range of body mass index (BMI). Here, we aimed to investigate whether the faecal microbial metagenome can explain the variance in several clinical phenotypes associated with morbid obesity. METHODS Caucasian subjects were recruited at our hospital. Blood pressure and anthropometric measurements were taken. Dietary intake was determined using questionnaires. Shotgun metagenomic sequencing was performed on faecal samples from 177 subjects. RESULTS Subjects without obesity (n = 82, BMI 24.7 ± 2.9 kg m-2 ) and subjects with obesity (n = 95, BMI 38.6 ± 5.1 kg m-2 ) could be clearly distinguished based on microbial composition and microbial metabolic pathways. A total number of 52 bacterial species differed significantly in people with and without obesity. Independent of dietary intake, we found that microbial pathways involved in biosynthesis of amino acids were enriched in subjects with obesity, whereas pathways involved in the degradation of amino acids were depleted. Machine learning models showed that more than half of the variance in body fat composition followed by BMI could be explained by the gut microbiome, composition and microbial metabolic pathways, compared with 6% of variation explained in triglycerides and 9% in HDL. CONCLUSION Based on the faecal microbiota composition, we were able to separate subjects with and without obesity. In addition, we found strong associations between gut microbial amino acid metabolism and specific microbial species in relation to clinical features of obesity.
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Affiliation(s)
- A S Meijnikman
- From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands.,Department of Surgery, Spaarne Hospital, Hoofddorp, the Netherlands
| | - O Aydin
- From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands.,Department of Surgery, Spaarne Hospital, Hoofddorp, the Netherlands
| | - A Prodan
- From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands
| | - V Tremaroli
- Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, Goteborgs Universitet, Gothenburg, Sweden
| | - H Herrema
- From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands
| | - E Levin
- From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands
| | - Y Acherman
- Department of Surgery, Spaarne Hospital, Hoofddorp, the Netherlands
| | - S Bruin
- Department of Surgery, Spaarne Hospital, Hoofddorp, the Netherlands
| | - V E Gerdes
- From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands.,Department of Surgery, Spaarne Hospital, Hoofddorp, the Netherlands
| | - F Backhed
- Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, Goteborgs Universitet, Gothenburg, Sweden.,Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Receptology and Enteroendocrinology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Physiology, Region Västtra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - A K Groen
- From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands
| | - M Nieuwdorp
- From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands
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Djekic D, Carlsson F, Landberg R, Sarnqvist C, Cao Y, Tremaroli V, Backhed F, Frobert O. P6208VEgetaRian Diet in patients with Ischemic heart disease (VERDI): an open-label, randomized, prospective, cross-over study. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz746.0813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
A vegetarian diet (VD) in patients diagnosed with ischemic heart disease (IHD) may reduce future cardiovascular risk.
Purpose
The study hypothesis was that patients diagnosed with IHD can benefit from a VD assessed by multiple risk markers for this type of disease.
Methods
In a crossover study patients diagnosed with IHD, treated by percutaneous coronary intervention and on optimal medical therapy were randomly allocated to a 4-week intervention with ready-made (lunch and dinner) isocaloric VD or meat diet (MD). The primary outcome was change in oxidized low-density lipoprotein cholesterol (LDL-C) levels. Secondary outcomes were difference in changes of blood lipids, weight, body mass index (BMI), blood pressure, heart rate, glycated haemoglobin (HbA1c), number of participants reaching guideline target values, quality of life, gut microbiota, and trimethylamine N-oxide between the two interventions.
Results
31 participants were recruited (median age: 67 years, male sex: 93.5%). Significant between-intervention differences (VD vs MD) were found in oxidized LDL-C (−2.73 U/L; p=0.015), total cholesterol (TC) (−0.13 mmol/L, p=0.01), LDL-C (−0.10 mmol/L; p=0.02), weight (−0.67 kg, p=0.008) and BMI (−0.21 kg/m2, p=0.009). After VD, numerically more subjects reached guideline LDL-C target values (87% vs 77%) but this did not reach statistical significance (p=0.07). During VD intervention the diet led to a significant reduction in oxidized LDL-C, TC, LDL-C, HDL-C, ApoB, and ApoB/ApoA1 ratio.
Conclusions
Our results suggest that in patients with IHD a VD compared to a MD, lowers oxidative stress, improves lipid profile and lowers BMI.
Acknowledgement/Funding
This study is partially funded by ALF and the Swedish Heart and Lung Foundation.
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Affiliation(s)
- D Djekic
- Orebro University Hospital, Orebro University, Department of Cardiology, Orebro, Sweden
| | - F Carlsson
- Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - R Landberg
- Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - C Sarnqvist
- Orebro University Hospital, Orebro University, Department of Cardiology, Orebro, Sweden
| | - Y Cao
- Karolinska Institute, Unit of Biostatistics, Institute of Environmental Medicine, Stockholm, Sweden
| | - V Tremaroli
- Sahlgrenska Academy, Department of Molecular and Clinical Medicine, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - F Backhed
- Sahlgrenska Academy, Department of Molecular and Clinical Medicine, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - O Frobert
- Orebro University Hospital, Orebro University, Department of Cardiology, Orebro, Sweden
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