Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss
Recent sets of evidence have described profiles of 16S rDNA sequences in host tissues, notably in fat pads that are significantly overrepresented and can serve as signatures of metabolic disease. However, these recent and original observations need to be further detailed and functionally defined. He...
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Taylor & Francis Group
2025-12-01
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| Series: | Gut Microbes |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19490976.2024.2439105 |
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| author | Matthieu Minty Alberic Germain Jiuwen Sun Gracia Kaglan Florence Servant Benjamin Lelouvier Emiri Misselis Radu Mircea Neagoe Menghini Rossella Marina Cardellini Rémy Burcelin Massimo Federici José Manuel Fernandez-Real Vincent Blasco-Baque |
| author_facet | Matthieu Minty Alberic Germain Jiuwen Sun Gracia Kaglan Florence Servant Benjamin Lelouvier Emiri Misselis Radu Mircea Neagoe Menghini Rossella Marina Cardellini Rémy Burcelin Massimo Federici José Manuel Fernandez-Real Vincent Blasco-Baque |
| author_sort | Matthieu Minty |
| collection | DOAJ |
| description | Recent sets of evidence have described profiles of 16S rDNA sequences in host tissues, notably in fat pads that are significantly overrepresented and can serve as signatures of metabolic disease. However, these recent and original observations need to be further detailed and functionally defined. Here, using state-of-the-art targeted DNA sequencing and discriminant predictive approaches, we describe, from the longitudinal FLORINASH cohort of patients who underwent bariatric surgery, visceral, and subcutaneous fat pad-specific bacterial 16SrRNA signatures. The corresponding Porphyromonadaceae, Campylobacteraceae, Prevotellaceae, Actimomycetaceae, Veillonellaceae, Anaerivoracaceae, Fusobacteriaceae, and the Clostridium family XI 16SrRNA DNA segment profiles are signatures of the subcutaneous adipose depot while Pseudomonadaceae and Micrococcacecae, 16SrRNA DNA sequence profiles characterize the visceral adipose depot. In addition, we have further identified that a specific pre-bariatric surgery adipose tissue bacterial DNA signature predicts the efficacy of body weight loss in obese patients 5–10 years after the surgery. 16SrRNA signatures discriminate (ROC ~ 1) the patients who did not maintain bodyweight loss and those who did. Second, from the 16SrRNA sequences we infer potential pathways suggestive of catabolic biochemical activities that could be signatures of subcutaneous adipose depots that predict body weight loss. |
| format | Article |
| id | doaj-art-26ea8721f37f430b804d77888aaff7ee |
| institution | OA Journals |
| issn | 1949-0976 1949-0984 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Gut Microbes |
| spelling | doaj-art-26ea8721f37f430b804d77888aaff7ee2025-08-20T02:32:09ZengTaylor & Francis GroupGut Microbes1949-09761949-09842025-12-0117110.1080/19490976.2024.2439105Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight lossMatthieu Minty0Alberic Germain1Jiuwen Sun2Gracia Kaglan3Florence Servant4Benjamin Lelouvier5Emiri Misselis6Radu Mircea Neagoe7Menghini Rossella8Marina Cardellini9Rémy Burcelin10Massimo Federici11José Manuel Fernandez-Real12Vincent Blasco-Baque13Institut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, FranceVAIOMER, Microbiome, Labège, FranceVAIOMER, Microbiome, Labège, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, FranceScience and Technology “George Emil Palade” Tîrgu Mures, Second Department of Surgery, Emergency Mureş County Hospital, University of Medicine Pharmacy, Târgu Mureș, RomaniaDepartment of Systems Medicine, University of Rome “Tor Vergata”, Rome, ItalyDepartment of Systems Medicine, University of Rome “Tor Vergata”, Rome, ItalyInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, FranceDepartment of Systems Medicine, University of Rome “Tor Vergata”, Rome, ItalyDepartment of Diabetes, Endocrinology and Nutrition, University Hospital of Girona ‘Dr Josep Trueta’Institut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, FranceRecent sets of evidence have described profiles of 16S rDNA sequences in host tissues, notably in fat pads that are significantly overrepresented and can serve as signatures of metabolic disease. However, these recent and original observations need to be further detailed and functionally defined. Here, using state-of-the-art targeted DNA sequencing and discriminant predictive approaches, we describe, from the longitudinal FLORINASH cohort of patients who underwent bariatric surgery, visceral, and subcutaneous fat pad-specific bacterial 16SrRNA signatures. The corresponding Porphyromonadaceae, Campylobacteraceae, Prevotellaceae, Actimomycetaceae, Veillonellaceae, Anaerivoracaceae, Fusobacteriaceae, and the Clostridium family XI 16SrRNA DNA segment profiles are signatures of the subcutaneous adipose depot while Pseudomonadaceae and Micrococcacecae, 16SrRNA DNA sequence profiles characterize the visceral adipose depot. In addition, we have further identified that a specific pre-bariatric surgery adipose tissue bacterial DNA signature predicts the efficacy of body weight loss in obese patients 5–10 years after the surgery. 16SrRNA signatures discriminate (ROC ~ 1) the patients who did not maintain bodyweight loss and those who did. Second, from the 16SrRNA sequences we infer potential pathways suggestive of catabolic biochemical activities that could be signatures of subcutaneous adipose depots that predict body weight loss.https://www.tandfonline.com/doi/10.1080/19490976.2024.2439105Bariatric surgerytissue microbiotafunctional metagenomicadipose fat pads |
| spellingShingle | Matthieu Minty Alberic Germain Jiuwen Sun Gracia Kaglan Florence Servant Benjamin Lelouvier Emiri Misselis Radu Mircea Neagoe Menghini Rossella Marina Cardellini Rémy Burcelin Massimo Federici José Manuel Fernandez-Real Vincent Blasco-Baque Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss Gut Microbes Bariatric surgery tissue microbiota functional metagenomic adipose fat pads |
| title | Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss |
| title_full | Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss |
| title_fullStr | Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss |
| title_full_unstemmed | Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss |
| title_short | Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss |
| title_sort | identifying the location dependent adipose tissue bacterial dna signatures in obese patients that predict body weight loss |
| topic | Bariatric surgery tissue microbiota functional metagenomic adipose fat pads |
| url | https://www.tandfonline.com/doi/10.1080/19490976.2024.2439105 |
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