19 results on '"Olsson, Lisa M."'
Search Results
2. Alterations in bile acid kinetics after bariatric surgery in patients with obesity with or without type 2 diabetes
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Wahlström, Annika, Aydin, Ömrüm, Olsson, Lisa M., Sjöland, Wilhelm, Henricsson, Marcus, Lundqvist, Annika, Marschall, Hanns-Ulrich, Franken, Rutger, van de Laar, Arnold, Gerdes, Victor, Meijnikman, Abraham S., Hofsø, Dag, Groen, Albert K., Hjelmesæth, Jøran, Nieuwdorp, Max, and Bäckhed, Fredrik more...
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- 2024
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Catalog
3. The potential of tailoring the gut microbiome to prevent and treat cardiometabolic disease
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Chakaroun, Rima Mohsen, Olsson, Lisa M., and Bäckhed, Fredrik
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- 2023
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4. Dynamics of the normal gut microbiota: A longitudinal one-year population study in Sweden
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Olsson, Lisa M, Boulund, Fredrik, Nilsson, Staffan, Khan, Muhammad Tanweer, Gummesson, Anders, Fagerberg, Linn, Engstrand, Lars, Perkins, Rosie, Uhlén, Mathias, Bergström, Göran, Tremaroli, Valentina, and Bäckhed, Fredrik more...
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- 2022
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5. Developmental trajectory of the healthy human gut microbiota during the first 5 years of life
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Roswall, Josefine, Olsson, Lisa M., Kovatcheva-Datchary, Petia, Nilsson, Staffan, Tremaroli, Valentina, Simon, Marie-Christine, Kiilerich, Pia, Akrami, Rozita, Krämer, Manuela, Uhlén, Mathias, Gummesson, Anders, Kristiansen, Karsten, Dahlgren, Jovanna, and Bäckhed, Fredrik more...
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- 2021
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6. The Gut Microbiota in Prediabetes and Diabetes: A Population-Based Cross-Sectional Study
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Wu, Hao, Tremaroli, Valentina, Schmidt, Caroline, Lundqvist, Annika, Olsson, Lisa M., Krämer, Manuela, Gummesson, Anders, Perkins, Rosie, Bergström, Göran, and Bäckhed, Fredrik
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- 2020
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7. Integration of molecular profiles in a longitudinal wellness profiling cohort
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Tebani, Abdellah, Gummesson, Anders, Zhong, Wen, Koistinen, Ina Schuppe, Lakshmikanth, Tadepally, Olsson, Lisa M., Boulund, Fredrik, Neiman, Maja, Stenlund, Hans, Hellström, Cecilia, Karlsson, Max J., Arif, Muhammad, Dodig-Crnković, Tea, Mardinoglu, Adil, Lee, Sunjae, Zhang, Cheng, Chen, Yang, Olin, Axel, Mikes, Jaromir, Danielsson, Hanna, von Feilitzen, Kalle, Jansson, Per-Anders, Angerås, Oskar, Huss, Mikael, Kjellqvist, Sanela, Odeberg, Jacob, Edfors, Fredrik, Tremaroli, Valentina, Forsström, Björn, Schwenk, Jochen M., Nilsson, Peter, Moritz, Thomas, Bäckhed, Fredrik, Engstrand, Lars, Brodin, Petter, Bergström, Göran, Uhlen, Mathias, and Fagerberg, Linn more...
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- 2020
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8. Self-organized metabotyping of obese individuals identifies clusters responding differently to bariatric surgery
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Lappa, Dimitra, Meijnikman, Abraham S., Krautkramer, Kimberly A., Olsson, Lisa M., Aydin, Ömrüm, Van Rijswijk, Anne Sophie, Acherman, Yair I.Z., De Brauw, Maurits L., Tremaroli, Valentina, Olofsson, Louise E., Lundqvist, Annika, Hjorth, Siv A., Ji, Boyang, Gerdes, Victor E.A., Groen, Albert K., Schwartz, Thue W., Nieuwdorp, Max, Bäckhed, Fredrik, Nielsen, Jens, Lappa, Dimitra, Meijnikman, Abraham S., Krautkramer, Kimberly A., Olsson, Lisa M., Aydin, Ömrüm, Van Rijswijk, Anne Sophie, Acherman, Yair I.Z., De Brauw, Maurits L., Tremaroli, Valentina, Olofsson, Louise E., Lundqvist, Annika, Hjorth, Siv A., Ji, Boyang, Gerdes, Victor E.A., Groen, Albert K., Schwartz, Thue W., Nieuwdorp, Max, Bäckhed, Fredrik, and Nielsen, Jens more...
- Abstract
Weight loss through bariatric surgery is efficient for treatment or prevention of obesity related diseases such as type 2 diabetes and cardiovascular disease. Long term weight loss response does, however, vary among patients undergoing surgery. Thus, it is difficult to identify predictive markers while most obese individuals have one or more comorbidities. To overcome such challenges, an in-depth multiple omics analyses including fasting peripheral plasma metabolome, fecal metagenome as well as liver, jejunum, and adipose tissue transcriptome were performed for 106 individuals undergoing bariatric surgery. Machine leaning was applied to explore the metabolic differences in individuals and evaluate if metabolism-based patients’ stratification is related to their weight loss responses to bariatric surgery. Using Self-Organizing Maps (SOMs) to analyze the plasma metabolome, we identified five distinct metabotypes, which were differentially enriched for KEGG pathways related to immune functions, fatty acid metabolism, protein-signaling, and obesity pathogenesis. The gut metagenome of the most heavily medicated metabotypes, treated simultaneously for multiple cardiometabolic comorbidities, was significantly enriched in Prevotella and Lactobacillus species. This unbiased stratification into SOM-defined metabotypes identified signatures for each metabolic phenotype and we found that the different metabotypes respond differently to bariatric surgery in terms of weight loss after 12 months. An integrative framework that utilizes SOMs and omics integration was developed for stratifying a heterogeneous bariatric surgery cohort. The multiple omics datasets described in this study reveal that the metabotypes are characterized by a concrete metabolic status and different responses in weight loss and adipose tissue reduction over time. Our study thus opens a path to enable patient stratification and hereby allow for improved clinical treatments. more...
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- 2023
9. Self-organized metabotyping of obese individuals identifies clusters responding differently to bariatric surgery
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Lappa, Dimitra, primary, Meijnikman, Abraham S., additional, Krautkramer, Kimberly A., additional, Olsson, Lisa M., additional, Aydin, Ömrüm, additional, Van Rijswijk, Anne-Sophie, additional, Acherman, Yair I. Z., additional, De Brauw, Maurits L., additional, Tremaroli, Valentina, additional, Olofsson, Louise E., additional, Lundqvist, Annika, additional, Hjorth, Siv A., additional, Ji, Boyang, additional, Gerdes, Victor E. A., additional, Groen, Albert K., additional, Schwartz, Thue W., additional, Nieuwdorp, Max, additional, Bäckhed, Fredrik, additional, and Nielsen, Jens, additional more...
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- 2023
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10. Metformin alters the gut microbiome of individuals with treatment-naive type 2 diabetes, contributing to the therapeutic effects of the drug
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Wu, Hao, Esteve, Eduardo, Tremaroli, Valentina, Khan, Muhammad Tanweer, Caesar, Robert, Mannerås-Holm, Louise, Ståhlman, Marcus, Olsson, Lisa M, Serino, Matteo, Planas-Fèlix, Mercè, Xifra, Gemma, Mercader, Josep M, Torrents, David, Burcelin, Rémy, Ricart, Wifredo, Perkins, Rosie, Fernàndez-Real, José Manuel, and Bäckhed, Fredrik more...
- Subjects
Glucose -- Analysis -- Health aspects ,Microbiota (Symbiotic organisms) -- Analysis -- Health aspects ,Metformin -- Research -- Analysis -- Health aspects -- Dosage and administration ,Type 2 diabetes -- Research -- Drug therapy -- Analysis -- Health aspects -- Care and treatment ,Biological sciences ,Health - Abstract
Metformin is widely used in the treatment of type 2 diabetes (T2D), but its mechanism of action is poorly defined. Recent evidence implicates the gut microbiota as a site of metformin action. In a double-blind study, we randomized individuals with treatment-naive T2D to placebo or metformin for 4 months and showed that metformin had strong effects on the gut microbiome. These results were verified in a subset of the placebo group that switched to metformin 6 months after the start of the trial. Transfer of fecal samples (obtained before and 4 months after treatment) from metformin-treated donors to germ-free mice showed that glucose tolerance was improved in mice that received metformin-altered microbiota. By directly investigating metformin-microbiota interactions in a gut simulator, we showed that metformin affected pathways with common biological functions in species from two different phyla, and many of the metformin-regulated genes in these species encoded metalloproteins or metal transporters. Our findings provide support for the notion that altered gut microbiota mediates some of metformin's antidiabetic effects., Author(s): Hao Wu [1]; Eduardo Esteve [2, 3, 4]; Valentina Tremaroli [1]; Muhammad Tanweer Khan [1]; Robert Caesar [1]; Louise Mannerås-Holm [1]; Marcus Ståhlman [1]; Lisa M Olsson [1]; Matteo [...] more...
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- 2017
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11. The potential of tailoring the gut microbiome to prevent and treat cardiometabolic disease
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Chakaroun, Rima Mohsen, primary, Olsson, Lisa M., additional, and Bäckhed, Fredrik, additional
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- 2022
- Full Text
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12. Dynamics of the normal gut microbiota : A longitudinal one-year population study in Sweden
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Olsson, Lisa M., Boulund, Fredrik, Nilsson, Staffan, Khan, Muhammad Tanweer, Gummesson, Anders, Fagerberg, Linn, Engstrand, Lars, Perkins, Rosie, Uhlén, Mathias, Bergström, Göran, Tremaroli, Valentina, Backhed, Fredrik, Olsson, Lisa M., Boulund, Fredrik, Nilsson, Staffan, Khan, Muhammad Tanweer, Gummesson, Anders, Fagerberg, Linn, Engstrand, Lars, Perkins, Rosie, Uhlén, Mathias, Bergström, Göran, Tremaroli, Valentina, and Backhed, Fredrik more...
- Abstract
Temporal dynamics of the gut microbiota potentially limit the identification of microbial features associated with health status. Here, we used whole-genome metagenomic and 16S rRNA gene sequencing to characterize the intra-and inter-individual variations of gut microbiota composition and functional potential of a disease-free Swedish population (n = 75) over one year. We found that 23% of the total compositional variance was explained by intra-individual variation. The degree of intra-individual compositional variability was negatively associated with the abundance of Faecalibacterium prausnitzii (a butyrate producer) and two Bifidobacterium species. By contrast, the abundance of facultative anaerobes and aerotolerant bacteria such as Escherichia coli and Lactobacillus acidophilus varied extensively, independent of compositional stability. The contribution of intra-individual variance to the total variance was greater for functional pathways than for microbial species. Thus, reliable quantification of microbial features requires repeated samples to address the issue of intra-individual variations of the gut microbiota., QC 20220916 more...
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- 2022
- Full Text
- View/download PDF
13. Dynamics of the normal gut microbiota:A longitudinal one-year population study in Sweden
- Author
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Olsson, Lisa M., Boulund, Fredrik, Nilsson, Staffan, Khan, Muhammad Tanweer, Gummesson, Anders, Fagerberg, Linn, Engstrand, Lars, Perkins, Rosie, Uhlén, Mathias, Bergström, Göran, Tremaroli, Valentina, Bäckhed, Fredrik, Olsson, Lisa M., Boulund, Fredrik, Nilsson, Staffan, Khan, Muhammad Tanweer, Gummesson, Anders, Fagerberg, Linn, Engstrand, Lars, Perkins, Rosie, Uhlén, Mathias, Bergström, Göran, Tremaroli, Valentina, and Bäckhed, Fredrik more...
- Abstract
Temporal dynamics of the gut microbiota potentially limit the identification of microbial features associated with health status. Here, we used whole-genome metagenomic and 16S rRNA gene sequencing to characterize the intra- and inter-individual variations of gut microbiota composition and functional potential of a disease-free Swedish population (n = 75) over one year. We found that 23% of the total compositional variance was explained by intra-individual variation. The degree of intra-individual compositional variability was negatively associated with the abundance of Faecalibacterium prausnitzii (a butyrate producer) and two Bifidobacterium species. By contrast, the abundance of facultative anaerobes and aerotolerant bacteria such as Escherichia coli and Lactobacillus acidophilus varied extensively, independent of compositional stability. The contribution of intra-individual variance to the total variance was greater for functional pathways than for microbial species. Thus, reliable quantification of microbial features requires repeated samples to address the issue of intra-individual variations of the gut microbiota. more...
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- 2022
14. Systems analysis of metabolic responses to a mixed meal test in an obese cohort reveals links between tissue metabolism and the gut microbiota
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Li, Peishun, primary, Ji, Boyang, additional, Lappa, Dimitra, additional, Meijnikman, Abraham S, additional, Olsson, Lisa M., additional, Aydin, Ömrüm, additional, Bruin, Sjoerd C., additional, van de Laar, Arnold, additional, Tremaroli, Valentina, additional, Luo, Hao, additional, Geng, Jun, additional, Krautkramer, Kimberly A., additional, Lundqvist, Annika, additional, Herrema, Hilde, additional, Groen, Albert K., additional, Gerdes, Victor E.A., additional, Schwartz, Thue W., additional, Bäckhed, Fredrik, additional, Nieuwdorp, Max, additional, Olofsson, Louise E., additional, and Nielsen, Jens, additional more...
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- 2022
- Full Text
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15. Gut microbiota of obese subjects with Prader-Willi syndrome is linked to metabolic health
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Olsson, Lisa M, Poitou, Christine, Tremaroli, Valentina, Coupaye, Muriel, Aron-Wisnewsky, Judith, Bäckhed, Fredrik, Clément, Karine, Caesar, Robert, Gestionnaire, HAL Sorbonne Université 5, Nutrition et obésités: approches systémiques (UMR-S 1269) (Nutriomics), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), University of Gothenburg (GU), Service de Nutrition [CHU Pitié-Salpétrière], Institut E3M [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Nutrition et obésités: approches systémiques (nutriomics) (UMR-S 1269 INSERM - Sorbonne Université), Service de nutrition [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU) more...
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Adult ,Male ,congenital, hereditary, and neonatal diseases and abnormalities ,glucose metabolism ,digestive system ,Feces ,Mice ,fluids and secretions ,RNA, Ribosomal, 16S ,Animals ,Humans ,Obesity ,Gut Microbiota ,nutritional and metabolic diseases ,Fecal Microbiota Transplantation ,nervous system diseases ,Gastrointestinal Microbiome ,[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition ,Glucose ,Case-Control Studies ,diabetes mellitus ,intestinal bacteria ,Female ,[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition ,Prader-Willi Syndrome - Abstract
International audience; Objective The gut microbiota has been implicated in the aetiology of obesity and associated comorbidities. Patients with Prader-Willi syndrome (PWS) are obese but partly protected against insulin resistance. We hypothesised that the gut microbiota of PWS patients differs from that of non-genetically obese controls and correlate to metabolic health. Therefore, here we used PWS as a model to study the role of gut microbiota in the prevention of metabolic complications linked to obesity.Design We conducted a case-control study with 17 adult PWS patients and 17 obese subjects matched for body fat mass index, gender and age. The subjects were metabolically characterised and faecal microbiota was profiled by 16S ribosomal RNA gene sequencing. The patients’ parents were used as a non-obese control group. Stool samples from two PWS patients and two obese controls were used for faecal microbiota transplantations in germ-free mice to examine the impact of the microbiota on glucose metabolism.Results The composition of the faecal microbiota in patients with PWS differed from that of obese controls, and was characterised by higher phylogenetic diversity and increased abundance of several taxa such as Akkermansia, Desulfovibrio and Archaea, and decreased abundance of Dorea. Microbial taxa prevalent in the PWS microbiota were associated with markers of insulin sensitivity. Improved insulin resistance of PWS was partly transmitted by faecal microbiota transplantations into germ-free mice.Conclusion The gut microbiota of PWS patients is similar to that of their non-obese parents and might play a role for the protection of PWS patients from metabolic complications. more...
- Published
- 2019
- Full Text
- View/download PDF
16. Gut microbiota of obese subjects with Prader-Willi syndrome is linked to metabolic health
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Olsson, Lisa M., Poitou, Christine, Tremaroli, Valentina, Coupaye, Muriel, Aron-Wisnewsky, Judith, Bäckhed, Fredrik, Clément, Karine, Caesar, Robert, Olsson, Lisa M., Poitou, Christine, Tremaroli, Valentina, Coupaye, Muriel, Aron-Wisnewsky, Judith, Bäckhed, Fredrik, Clément, Karine, and Caesar, Robert more...
- Abstract
Objective: The gut microbiota has been implicated in the aetiology of obesity and associated comorbidities. Patients with Prader-Willi syndrome (PWS) are obese but partly protected against insulin resistance. We hypothesised that the gut microbiota of PWS patients differs from that of non-genetically obese controls and correlate to metabolic health. Therefore, here we used PWS as a model to study the role of gut microbiota in the prevention of metabolic complications linked to obesity. Design: We conducted a case-control study with 17 adult PWS patients and 17 obese subjects matched for body fat mass index, gender and age. The subjects were metabolically characterised and faecal microbiota was profiled by 16S ribosomal RNA gene sequencing. The patients' parents were used as a non-obese control group. Stool samples from two PWS patients and two obese controls were used for faecal microbiota transplantations in germ-free mice to examine the impact of the microbiota on glucose metabolism. Results: The composition of the faecal microbiota in patients with PWS differed from that of obese controls, and was characterised by higher phylogenetic diversity and increased abundance of several taxa such as Akkermansia, Desulfovibrio and Archaea, and decreased abundance of Dorea. Microbial taxa prevalent in the PWS microbiota were associated with markers of insulin sensitivity. Improved insulin resistance of PWS was partly transmitted by faecal microbiota transplantations into germ-free mice. Conclusion: The gut microbiota of PWS patients is similar to that of their non-obese parents and might play a role for the protection of PWS patients from metabolic complications. more...
- Published
- 2020
17. Integration of molecular profiles in a longitudinal wellness profiling cohort
- Author
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Abdellah, Tebani, Gummesson, Anders, Zhong, Wen, Koistinen, Ina Schuppe, Lakshmikanth, Tadepally, Olsson, Lisa M., Boulund, Fredrik, Neiman, Maja, Stenlund, Hans, Hellström, Cecilia, Karlsson, Max, Arif, Muhammad, Dodig-Crnkovic, Tea, Mardinoglu, Adil, Lee, Sunjae, Zhang, Cheng, Chen, Yang, Olin, Axel, Mikes, Jaromir, Danielsson, Hanna, von Feilitzen, Kalle, Jansson, Per-Anders, Angerås, Oskar, Huss, Mikael, Kjellqvist, Sanela, Odeberg, Jacob, Edfors, Fredrik, Tremaroli, Valentina, Forsström, Björn, Schwenk, Jochen M., Nilsson, Peter, Moritz, Thomas, Bäckhed, Fredrik, Engstrand, Lars, Brodin, Petter, Bergström, Göran, Uhlén, Mathias, Fagerberg, Linn, Abdellah, Tebani, Gummesson, Anders, Zhong, Wen, Koistinen, Ina Schuppe, Lakshmikanth, Tadepally, Olsson, Lisa M., Boulund, Fredrik, Neiman, Maja, Stenlund, Hans, Hellström, Cecilia, Karlsson, Max, Arif, Muhammad, Dodig-Crnkovic, Tea, Mardinoglu, Adil, Lee, Sunjae, Zhang, Cheng, Chen, Yang, Olin, Axel, Mikes, Jaromir, Danielsson, Hanna, von Feilitzen, Kalle, Jansson, Per-Anders, Angerås, Oskar, Huss, Mikael, Kjellqvist, Sanela, Odeberg, Jacob, Edfors, Fredrik, Tremaroli, Valentina, Forsström, Björn, Schwenk, Jochen M., Nilsson, Peter, Moritz, Thomas, Bäckhed, Fredrik, Engstrand, Lars, Brodin, Petter, Bergström, Göran, Uhlén, Mathias, and Fagerberg, Linn more...
- Abstract
QC 20211110
- Published
- 2020
- Full Text
- View/download PDF
18. The Gut Microbiota in Prediabetes and Diabetes:A Population-Based Cross-Sectional Study
- Author
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Wu, Hao, Tremaroli, Valentina, Schmidt, Caroline, Lundqvist, Annika, Olsson, Lisa M., Kramer, Manuela, Gummesson, Anders, Perkins, Rosie, Bergstrom, Goran, Backhed, Fredrik, Wu, Hao, Tremaroli, Valentina, Schmidt, Caroline, Lundqvist, Annika, Olsson, Lisa M., Kramer, Manuela, Gummesson, Anders, Perkins, Rosie, Bergstrom, Goran, and Backhed, Fredrik more...
- Abstract
The link between the gut microbiota and type 2 diabetes (T2D) warrants further investigation because of known confounding effects from antidiabetic treatment. Here, we profiled the gut microbiota in a discovery (n = 1,011) and validation (n = 484) cohort comprising Swedish subjects naive for diabetes treatment and grouped by glycemic status. We observed that overall gut microbiota composition was altered in groups with impaired glucose tolerance, combined glucose intolerance and T2D, but not in those with impaired fasting glucose. In addition, the abundance of several butyrate producers and functional potential for butyrate production were decreased both in prediabetes and T2D groups. Multivariate analyses and machine learning microbiome models indicated that insulin resistance was strongly associated with microbial variations. Therefore, our study indicates that the gut microbiota represents an important modifiable factor to consider when developing precision medicine approaches for the prevention and/or delay of T2D. more...
- Published
- 2020
19. Gut microbiota of obese subjects with Prader-Willi syndrome is linked to metabolic health
- Author
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Olsson, Lisa M, Poitou, Christine, Tremaroli, Valentina, Coupaye, Muriel, Aron-Wisnewsky, Judith, Ba¨ckhed, Fredrik, Clément, Karine, and Caesar, Robert
- Abstract
ObjectiveThe gut microbiota has been implicated in the aetiology of obesity and associated comorbidities. Patients with Prader-Willi syndrome (PWS) are obese but partly protected against insulin resistance. We hypothesised that the gut microbiota of PWS patients differs from that of non-genetically obese controls and correlate to metabolic health. Therefore, here we used PWS as a model to study the role of gut microbiota in the prevention of metabolic complications linked to obesity.DesignWe conducted a case-control study with 17 adult PWS patients and 17 obese subjects matched for body fat mass index, gender and age. The subjects were metabolically characterised and faecal microbiota was profiled by 16S ribosomal RNA gene sequencing. The patients’ parents were used as a non-obese control group. Stool samples from two PWS patients and two obese controls were used for faecal microbiota transplantations in germ-free mice to examine the impact of the microbiota on glucose metabolism.ResultsThe composition of the faecal microbiota in patients with PWS differed from that of obese controls, and was characterised by higher phylogenetic diversity and increased abundance of several taxa such as Akkermansia, Desulfovibrioand Archaea, and decreased abundance of Dorea. Microbial taxa prevalent in the PWS microbiota were associated with markers of insulin sensitivity. Improved insulin resistance of PWS was partly transmitted by faecal microbiota transplantations into germ-free mice.ConclusionThe gut microbiota of PWS patients is similar to that of their non-obese parents and might play a role for the protection of PWS patients from metabolic complications. more...
- Published
- 2020
- Full Text
- View/download PDF
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