Gut microbiome meta-analysis reveals dysbiosis is independent of body mass index in predicting risk of obesity-associated CRC
ObjectiveObesity is a risk factor for colorectal cancer (CRC), accounting for more than 14% of CRC incidence. Microbial dysbiosis and chronic inflammation are common characteristics in both obesity and CRC. Human and murine studies, together, demonstrate the significant impact of the microbiome in g...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2019-06-01
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| Series: | BMJ Open Gastroenterology |
| _version_ | 1819102983301890048 |
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| author | K Leigh Greathouse James Robert White R Noah Padgett Brittany G Perrotta Gregory D Jenkins Nicholas Chia Jun Chen |
| author_facet | K Leigh Greathouse James Robert White R Noah Padgett Brittany G Perrotta Gregory D Jenkins Nicholas Chia Jun Chen |
| author_sort | K Leigh Greathouse |
| collection | DOAJ |
| description | ObjectiveObesity is a risk factor for colorectal cancer (CRC), accounting for more than 14% of CRC incidence. Microbial dysbiosis and chronic inflammation are common characteristics in both obesity and CRC. Human and murine studies, together, demonstrate the significant impact of the microbiome in governing energy metabolism and CRC development; yet, little is understood about the contribution of the microbiome to development of obesity-associated CRC as compared to individuals who are not obese.DesignIn this study, we conducted a meta-analysis using five publicly available stool and tissue-based 16S rRNA and whole genome sequencing (WGS) data sets of CRC microbiome studies. High-resolution analysis was employed for 16S rRNA data, which allowed us to achieve species-level information to compare with WGS. ResultsCharacterisation of the confounders between studies, 16S rRNA variable region and sequencing method did not reveal any significant effect on alpha diversity in CRC prediction. Both 16S rRNA and WGS were equally variable in their ability to predict CRC. Results from diversity analysis confirmed lower diversity in obese individuals without CRC; however, no universal differences were found in diversity between obese and non-obese individuals with CRC. When examining taxonomic differences, the probability of being classified as CRC did not change significantly in obese individuals for all taxa tested. However, random forest classification was able to distinguish CRC and non-CRC stool when body mass index was added to the model.ConclusionOverall, microbial dysbiosis was not a significant factor in explaining the higher risk of colon cancer among individuals with obesity. |
| first_indexed | 2024-12-22T01:43:14Z |
| format | Article |
| id | doaj.art-a55c0b97d9a745edb400c15b0e500a1c |
| institution | Directory Open Access Journal |
| issn | 2054-4774 |
| language | English |
| last_indexed | 2024-12-22T01:43:14Z |
| publishDate | 2019-06-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open Gastroenterology |
| spelling | doaj.art-a55c0b97d9a745edb400c15b0e500a1c2022-12-21T18:43:09ZengBMJ Publishing GroupBMJ Open Gastroenterology2054-47742019-06-016110.1136/bmjgast-2018-000247Gut microbiome meta-analysis reveals dysbiosis is independent of body mass index in predicting risk of obesity-associated CRCK Leigh GreathouseJames Robert WhiteR Noah PadgettBrittany G PerrottaGregory D JenkinsNicholas ChiaJun ChenObjectiveObesity is a risk factor for colorectal cancer (CRC), accounting for more than 14% of CRC incidence. Microbial dysbiosis and chronic inflammation are common characteristics in both obesity and CRC. Human and murine studies, together, demonstrate the significant impact of the microbiome in governing energy metabolism and CRC development; yet, little is understood about the contribution of the microbiome to development of obesity-associated CRC as compared to individuals who are not obese.DesignIn this study, we conducted a meta-analysis using five publicly available stool and tissue-based 16S rRNA and whole genome sequencing (WGS) data sets of CRC microbiome studies. High-resolution analysis was employed for 16S rRNA data, which allowed us to achieve species-level information to compare with WGS. ResultsCharacterisation of the confounders between studies, 16S rRNA variable region and sequencing method did not reveal any significant effect on alpha diversity in CRC prediction. Both 16S rRNA and WGS were equally variable in their ability to predict CRC. Results from diversity analysis confirmed lower diversity in obese individuals without CRC; however, no universal differences were found in diversity between obese and non-obese individuals with CRC. When examining taxonomic differences, the probability of being classified as CRC did not change significantly in obese individuals for all taxa tested. However, random forest classification was able to distinguish CRC and non-CRC stool when body mass index was added to the model.ConclusionOverall, microbial dysbiosis was not a significant factor in explaining the higher risk of colon cancer among individuals with obesity. |
| spellingShingle | K Leigh Greathouse James Robert White R Noah Padgett Brittany G Perrotta Gregory D Jenkins Nicholas Chia Jun Chen Gut microbiome meta-analysis reveals dysbiosis is independent of body mass index in predicting risk of obesity-associated CRC BMJ Open Gastroenterology |
| title | Gut microbiome meta-analysis reveals dysbiosis is independent of body mass index in predicting risk of obesity-associated CRC |
| title_full | Gut microbiome meta-analysis reveals dysbiosis is independent of body mass index in predicting risk of obesity-associated CRC |
| title_fullStr | Gut microbiome meta-analysis reveals dysbiosis is independent of body mass index in predicting risk of obesity-associated CRC |
| title_full_unstemmed | Gut microbiome meta-analysis reveals dysbiosis is independent of body mass index in predicting risk of obesity-associated CRC |
| title_short | Gut microbiome meta-analysis reveals dysbiosis is independent of body mass index in predicting risk of obesity-associated CRC |
| title_sort | gut microbiome meta analysis reveals dysbiosis is independent of body mass index in predicting risk of obesity associated crc |
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