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#8291. A predictive regression model of the obesity-related inflammatory status based on gut microbiota composition
| October 2026 | publication date |
| Proposal available till | 08-06-2025 |
| 4 total number of authors per manuscript | 0 $ |
| The title of the journal is available only for the authors who have already paid for |
| Journal’s subject area: |
| Endocrinology, Diabetes and Metabolism; Nutrition and Dietetics; Medicine (miscellaneous); |
| place 1 | place 2 | place 3 | place 4 |
| Free | Free | Free | Free |
| 2510 $ | 1340 $ | 1170 $ | 1000 $ |
Contract №8291.1   | Contract №8291.2 | Contract №8291.3 | Contract №8291.4 |
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Abstract:
Background and aim: Fecal microbiome disturbances are linked to different human diseases. In the case of obesity, gut microbiota seems to play a role in the development of low-grade inflammation. The purpose of the present study was to identify specific bacterial families and genera associated with an increased obesity-related inflammatory status, which would allow to build a regression model for the prediction of the inflammatory status of obese and overweight subjects based on fecal microorganisms. Methods: A total of 361 volunteers from the Obekit trial (65 normal-weight, 110 overweight, and 186 obese) were classified according to four variables: waist/hip ratio (?0.86 for women and ?1.00 for men), leptin/adiponectin ratio (LAR, ?3.0 for women and ?1.4 for men), and plasma C-reactive protein (?2 mg/L) and TNF levels (?0.85 pg/mL). An inflammation score was designed to classify individuals in low (those subjects who did exceed the threshold value in 0 or 1 variable) or high inflammatory index (those subjects who did exceed the threshold value in 2 or more variables). Fecal 16 S rRNA sequencing was performed for all participants, and differential abundance analyses for family and genera were performed using the MicrobiomeAnalyst web-based platform.
Keywords:
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Contacts :
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
Abstract:
Background and aim: Fecal microbiome disturbances are linked to different human diseases. In the case of obesity, gut microbiota seems to play a role in the development of low-grade inflammation. The purpose of the present study was to identify specific bacterial families and genera associated with an increased obesity-related inflammatory status, which would allow to build a regression model for the prediction of the inflammatory status of obese and overweight subjects based on fecal microorganisms. Methods: A total of 361 volunteers from the Obekit trial (65 normal-weight, 110 overweight, and 186 obese) were classified according to four variables: waist/hip ratio (?0.86 for women and ?1.00 for men), leptin/adiponectin ratio (LAR, ?3.0 for women and ?1.4 for men), and plasma C-reactive protein (?2 mg/L) and TNF levels (?0.85 pg/mL). An inflammation score was designed to classify individuals in low (those subjects who did exceed the threshold value in 0 or 1 variable) or high inflammatory index (those subjects who did exceed the threshold value in 2 or more variables). Fecal 16 S rRNA sequencing was performed for all participants, and differential abundance analyses for family and genera were performed using the MicrobiomeAnalyst web-based platform.
Keywords:
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Contacts :
