Weight Loss Promotion in Individuals with Obesity through Gut Microbiota Alterations with a Multiphase Modified Ketogenic Diet
The occurrence of obesity and related metabolic disorders is rising, necessitating effective long-term weight management strategies. With growing interest in the potential role of gut microbes due to their association with responses to different weight loss diets, understanding the mechanisms underl...
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| Format: | Article |
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MDPI AG
2023-09-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/15/19/4163 |
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| author | Hongchao Wang Xinchen Lv Sijia Zhao Weiwei Yuan Qunyan Zhou Faizan Ahmed Sadiq Jianxin Zhao Wenwei Lu Wenjun Wu |
| author_facet | Hongchao Wang Xinchen Lv Sijia Zhao Weiwei Yuan Qunyan Zhou Faizan Ahmed Sadiq Jianxin Zhao Wenwei Lu Wenjun Wu |
| author_sort | Hongchao Wang |
| collection | DOAJ |
| description | The occurrence of obesity and related metabolic disorders is rising, necessitating effective long-term weight management strategies. With growing interest in the potential role of gut microbes due to their association with responses to different weight loss diets, understanding the mechanisms underlying the interactions between diet, gut microbiota, and weight loss remains a challenge. This study aimed to investigate the potential impact of a multiphase dietary protocol, incorporating an improved ketogenic diet (MDP-i-KD), on weight loss and the gut microbiota. Using metagenomic sequencing, we comprehensively analyzed the taxonomic and functional composition of the gut microbiota in 13 participants before and after a 12-week MDP-i-KD intervention. The results revealed a significant reduction in BMI (9.2% weight loss) among obese participants following the MDP-i-KD intervention. Machine learning analysis identified seven key microbial species highly correlated with MDP-i-KD, with <i>Parabacteroides distasonis</i> exhibiting the highest response. Additionally, the co-occurrence network of the gut microbiota in post-weight-loss participants demonstrated a healthier state. Notably, metabolic pathways related to nucleotide biosynthesis, aromatic amino acid synthesis, and starch degradation were enriched in pre-intervention participants and positively correlated with BMI. Furthermore, species associated with obesity, such as <i>Blautia obeum</i> and <i>Ruminococcus torques</i>, played pivotal roles in regulating these metabolic activities. In conclusion, the MDP-i-KD intervention may assist in weight management by modulating the composition and metabolic functions of the gut microbiota. <i>Parabacteroides distasonis, Blautia obeum</i>, and <i>Ruminococcus torques</i> could be key targets for gut microbiota-based obesity interventions. |
| first_indexed | 2024-03-10T21:38:26Z |
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| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-03-10T21:38:26Z |
| publishDate | 2023-09-01 |
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| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-237df84e1bbe4e46a675f8c7e395cf7e2023-11-19T14:51:04ZengMDPI AGNutrients2072-66432023-09-011519416310.3390/nu15194163Weight Loss Promotion in Individuals with Obesity through Gut Microbiota Alterations with a Multiphase Modified Ketogenic DietHongchao Wang0Xinchen Lv1Sijia Zhao2Weiwei Yuan3Qunyan Zhou4Faizan Ahmed Sadiq5Jianxin Zhao6Wenwei Lu7Wenjun Wu8State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, ChinaState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, ChinaState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, ChinaState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, ChinaDepartment of Nutriology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, No. 299, Qingyang Road, Wuxi 214023, ChinaFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), Technology & Food Sciences Unit, 9090 Melle, BelgiumState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, ChinaState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, ChinaDepartment of Endocrinology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, No. 299, Qingyang Road, Wuxi 214023, ChinaThe occurrence of obesity and related metabolic disorders is rising, necessitating effective long-term weight management strategies. With growing interest in the potential role of gut microbes due to their association with responses to different weight loss diets, understanding the mechanisms underlying the interactions between diet, gut microbiota, and weight loss remains a challenge. This study aimed to investigate the potential impact of a multiphase dietary protocol, incorporating an improved ketogenic diet (MDP-i-KD), on weight loss and the gut microbiota. Using metagenomic sequencing, we comprehensively analyzed the taxonomic and functional composition of the gut microbiota in 13 participants before and after a 12-week MDP-i-KD intervention. The results revealed a significant reduction in BMI (9.2% weight loss) among obese participants following the MDP-i-KD intervention. Machine learning analysis identified seven key microbial species highly correlated with MDP-i-KD, with <i>Parabacteroides distasonis</i> exhibiting the highest response. Additionally, the co-occurrence network of the gut microbiota in post-weight-loss participants demonstrated a healthier state. Notably, metabolic pathways related to nucleotide biosynthesis, aromatic amino acid synthesis, and starch degradation were enriched in pre-intervention participants and positively correlated with BMI. Furthermore, species associated with obesity, such as <i>Blautia obeum</i> and <i>Ruminococcus torques</i>, played pivotal roles in regulating these metabolic activities. In conclusion, the MDP-i-KD intervention may assist in weight management by modulating the composition and metabolic functions of the gut microbiota. <i>Parabacteroides distasonis, Blautia obeum</i>, and <i>Ruminococcus torques</i> could be key targets for gut microbiota-based obesity interventions.https://www.mdpi.com/2072-6643/15/19/4163gut microbiomemultiphase-modified ketogenic dietweight lossmetagenomicsmachine learning |
| spellingShingle | Hongchao Wang Xinchen Lv Sijia Zhao Weiwei Yuan Qunyan Zhou Faizan Ahmed Sadiq Jianxin Zhao Wenwei Lu Wenjun Wu Weight Loss Promotion in Individuals with Obesity through Gut Microbiota Alterations with a Multiphase Modified Ketogenic Diet Nutrients gut microbiome multiphase-modified ketogenic diet weight loss metagenomics machine learning |
| title | Weight Loss Promotion in Individuals with Obesity through Gut Microbiota Alterations with a Multiphase Modified Ketogenic Diet |
| title_full | Weight Loss Promotion in Individuals with Obesity through Gut Microbiota Alterations with a Multiphase Modified Ketogenic Diet |
| title_fullStr | Weight Loss Promotion in Individuals with Obesity through Gut Microbiota Alterations with a Multiphase Modified Ketogenic Diet |
| title_full_unstemmed | Weight Loss Promotion in Individuals with Obesity through Gut Microbiota Alterations with a Multiphase Modified Ketogenic Diet |
| title_short | Weight Loss Promotion in Individuals with Obesity through Gut Microbiota Alterations with a Multiphase Modified Ketogenic Diet |
| title_sort | weight loss promotion in individuals with obesity through gut microbiota alterations with a multiphase modified ketogenic diet |
| topic | gut microbiome multiphase-modified ketogenic diet weight loss metagenomics machine learning |
| url | https://www.mdpi.com/2072-6643/15/19/4163 |
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