The Microbiome, Epigenome, and Diet in Adults with Obesity during Behavioral Weight Loss
Obesity has been linked to the gut microbiome, epigenome, and diet, yet these factors have not been studied together during obesity treatment. Our objective was to evaluate associations among gut microbiota (MB), DNA methylation (DNAme), and diet prior to and during a behavioral weight loss interven...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/15/16/3588 |
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| author | Emily B. Hill Iain R. Konigsberg Diana Ir Daniel N. Frank Purevsuren Jambal Elizabeth M. Litkowski Ethan M. Lange Leslie A. Lange Danielle M. Ostendorf Jared J. Scorsone Liza Wayland Kristen Bing Paul S. MacLean Edward L. Melanson Daniel H. Bessesen Victoria A. Catenacci Maggie A. Stanislawski Sarah J. Borengasser |
| author_facet | Emily B. Hill Iain R. Konigsberg Diana Ir Daniel N. Frank Purevsuren Jambal Elizabeth M. Litkowski Ethan M. Lange Leslie A. Lange Danielle M. Ostendorf Jared J. Scorsone Liza Wayland Kristen Bing Paul S. MacLean Edward L. Melanson Daniel H. Bessesen Victoria A. Catenacci Maggie A. Stanislawski Sarah J. Borengasser |
| author_sort | Emily B. Hill |
| collection | DOAJ |
| description | Obesity has been linked to the gut microbiome, epigenome, and diet, yet these factors have not been studied together during obesity treatment. Our objective was to evaluate associations among gut microbiota (MB), DNA methylation (DNAme), and diet prior to and during a behavioral weight loss intervention. Adults (<i>n</i> = 47, age 40.9 ± 9.7 years, body mass index (BMI) 33.5 ± 4.5 kg/m<sup>2</sup>, 77% female) with data collected at baseline (BL) and 3 months (3 m) were included. Fecal MB was assessed via 16S sequencing and whole blood DNAme via the Infinium EPIC array. Food group and nutrient intakes and Healthy Eating Index (HEI) scores were calculated from 7-day diet records. Linear models were used to test for the effect of taxa relative abundance on DNAme and diet cross-sectionally at each time point, adjusting for confounders and a false discovery rate of 5%. Mean weight loss was 6.2 ± 3.9% at 3 m. At BL, one MB taxon, <i>Ruminiclostridium</i>, was associated with DNAme of the genes <i>COL20A1</i> (r = 0.651, <i>p</i> = 0.029), <i>COL18A1</i> (r = 0.578, <i>p</i> = 0.044), and <i>NT5E</i> (r = 0.365, <i>p</i> = 0.043). At 3 m, there were 14 unique MB:DNAme associations, such as <i>Akkermansia</i> with DNAme of <i>GUSB</i> (r = −0.585, <i>p</i> = 0.003), <i>CRYL1</i> (r = −0.419, <i>p</i> = 0.007), <i>C9</i> (r = −0.439, <i>p</i> = 0.019), and <i>GMDS</i> (r = −0.559, <i>p</i> = 0.046). Among taxa associated with DNAme, no significant relationships were seen with dietary intakes of relevant nutrients, food groups, or HEI scores. Our findings indicate that microbes linked to mucin degradation, short-chain fatty acid production, and body weight are associated with DNAme of phenotypically relevant genes. These relationships offer an initial understanding of the possible routes by which alterations in gut MB may influence metabolism during weight loss. |
| first_indexed | 2024-03-10T23:40:14Z |
| format | Article |
| id | doaj.art-12eb4929d4de40b7a62c9ba0582b84c1 |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-03-10T23:40:14Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-12eb4929d4de40b7a62c9ba0582b84c12023-11-19T02:30:13ZengMDPI AGNutrients2072-66432023-08-011516358810.3390/nu15163588The Microbiome, Epigenome, and Diet in Adults with Obesity during Behavioral Weight LossEmily B. Hill0Iain R. Konigsberg1Diana Ir2Daniel N. Frank3Purevsuren Jambal4Elizabeth M. Litkowski5Ethan M. Lange6Leslie A. Lange7Danielle M. Ostendorf8Jared J. Scorsone9Liza Wayland10Kristen Bing11Paul S. MacLean12Edward L. Melanson13Daniel H. Bessesen14Victoria A. Catenacci15Maggie A. Stanislawski16Sarah J. Borengasser17Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADivision of Infectious Diseases, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADivision of Infectious Diseases, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USASection of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADivision of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USAAnschutz Health and Wellness Center, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADivision of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USAAnschutz Health and Wellness Center, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADivision of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADivision of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADivision of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADivision of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USADepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USASection of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USAObesity has been linked to the gut microbiome, epigenome, and diet, yet these factors have not been studied together during obesity treatment. Our objective was to evaluate associations among gut microbiota (MB), DNA methylation (DNAme), and diet prior to and during a behavioral weight loss intervention. Adults (<i>n</i> = 47, age 40.9 ± 9.7 years, body mass index (BMI) 33.5 ± 4.5 kg/m<sup>2</sup>, 77% female) with data collected at baseline (BL) and 3 months (3 m) were included. Fecal MB was assessed via 16S sequencing and whole blood DNAme via the Infinium EPIC array. Food group and nutrient intakes and Healthy Eating Index (HEI) scores were calculated from 7-day diet records. Linear models were used to test for the effect of taxa relative abundance on DNAme and diet cross-sectionally at each time point, adjusting for confounders and a false discovery rate of 5%. Mean weight loss was 6.2 ± 3.9% at 3 m. At BL, one MB taxon, <i>Ruminiclostridium</i>, was associated with DNAme of the genes <i>COL20A1</i> (r = 0.651, <i>p</i> = 0.029), <i>COL18A1</i> (r = 0.578, <i>p</i> = 0.044), and <i>NT5E</i> (r = 0.365, <i>p</i> = 0.043). At 3 m, there were 14 unique MB:DNAme associations, such as <i>Akkermansia</i> with DNAme of <i>GUSB</i> (r = −0.585, <i>p</i> = 0.003), <i>CRYL1</i> (r = −0.419, <i>p</i> = 0.007), <i>C9</i> (r = −0.439, <i>p</i> = 0.019), and <i>GMDS</i> (r = −0.559, <i>p</i> = 0.046). Among taxa associated with DNAme, no significant relationships were seen with dietary intakes of relevant nutrients, food groups, or HEI scores. Our findings indicate that microbes linked to mucin degradation, short-chain fatty acid production, and body weight are associated with DNAme of phenotypically relevant genes. These relationships offer an initial understanding of the possible routes by which alterations in gut MB may influence metabolism during weight loss.https://www.mdpi.com/2072-6643/15/16/3588DNA methylationepigeneticsgut microbiomedietlifestyleobesity |
| spellingShingle | Emily B. Hill Iain R. Konigsberg Diana Ir Daniel N. Frank Purevsuren Jambal Elizabeth M. Litkowski Ethan M. Lange Leslie A. Lange Danielle M. Ostendorf Jared J. Scorsone Liza Wayland Kristen Bing Paul S. MacLean Edward L. Melanson Daniel H. Bessesen Victoria A. Catenacci Maggie A. Stanislawski Sarah J. Borengasser The Microbiome, Epigenome, and Diet in Adults with Obesity during Behavioral Weight Loss Nutrients DNA methylation epigenetics gut microbiome diet lifestyle obesity |
| title | The Microbiome, Epigenome, and Diet in Adults with Obesity during Behavioral Weight Loss |
| title_full | The Microbiome, Epigenome, and Diet in Adults with Obesity during Behavioral Weight Loss |
| title_fullStr | The Microbiome, Epigenome, and Diet in Adults with Obesity during Behavioral Weight Loss |
| title_full_unstemmed | The Microbiome, Epigenome, and Diet in Adults with Obesity during Behavioral Weight Loss |
| title_short | The Microbiome, Epigenome, and Diet in Adults with Obesity during Behavioral Weight Loss |
| title_sort | microbiome epigenome and diet in adults with obesity during behavioral weight loss |
| topic | DNA methylation epigenetics gut microbiome diet lifestyle obesity |
| url | https://www.mdpi.com/2072-6643/15/16/3588 |
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