Differential pattern of indigenous microbiome responses to probiotic Bifidobacterium lactis V9 consumption across subjects

[Display omitted] •Baseline differences of gut microbiota determine the response for the probiotic.•Anti-Engraftment Index was used to predict the persistence ability of the probiotic.•Pay attention to strain-specific and cohort-specific studies in probiotics research. Various factors, including tho...

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Published inFood research international Vol. 136; p. 109496
Main Authors Ma, Chenchen, Huo, Dongxue, You, Zhengkai, Peng, Qiannan, Jiang, Shuaiming, Chang, Haibo, Zhang, Jiachao, Zhang, Heping
Format Journal Article
LanguageEnglish
Published Canada Elsevier Ltd 01.10.2020
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Abstract [Display omitted] •Baseline differences of gut microbiota determine the response for the probiotic.•Anti-Engraftment Index was used to predict the persistence ability of the probiotic.•Pay attention to strain-specific and cohort-specific studies in probiotics research. Various factors, including those associated with the host and environment, should be considered to further explore the health-promoting effects of probiotics. However, it is important to consider persistence as a basic but crucial factor in the function of probiotics in the gut. To date, few studies have investigated the factors that influence probiotic persistence. To address these challenges, we designed a cohort experiment that included 49 subjects and used the probiotic Bifidobacterium lactis V9 to identify intestinal microbiota related to probiotic persistence based on high-throughput amplicon sequencing. All of the subjects were divided into three groups (Persisters, Temporary and Non-Persisters) according to the detected amount of viable Bifidobacterium lactis V9 in their faeces. Accordingly, the intestinal microbiota fluctuations in the Persisters group were significant and persistent, whereas those observed in the Non-Persisters group were limited. At the genus level, up to seven genera changed significantly in Persisters group, whereas only the genus Anaerobacterium changed significantly in Non-Persisters group throughout the experiment. At baseline, we observed highly distinct microbial alpha diversity and taxonomic features between the Persisters and Non-Persisters groups. A total of 12 genera were associated with probiotic persistence, with Bifidobacterium and eight other genera negatively associated with probiotic persistence and Anaerobacterium, Paraprevotella and Erysipelatoclostridium positively associated with probiotic persistence. Based on these potential biomarkers, an “Anti-Engraftment Index” (AEI) was derived to classify and predict probiotic persistence in test and validation cohorts with high accuracy. However, we also observed that the AEI did not work in other probiotic consumption experiments, indicating that the AEI was strain-specific.
AbstractList Various factors, including those associated with the host and environment, should be considered to further explore the health-promoting effects of probiotics. However, it is important to consider persistence as a basic but crucial factor in the function of probiotics in the gut. To date, few studies have investigated the factors that influence probiotic persistence. To address these challenges, we designed a cohort experiment that included 49 subjects and used the probiotic Bifidobacterium lactis V9 to identify intestinal microbiota related to probiotic persistence based on high-throughput amplicon sequencing. All of the subjects were divided into three groups (Persisters, Temporary and Non-Persisters) according to the detected amount of viable Bifidobacterium lactis V9 in their faeces. Accordingly, the intestinal microbiota fluctuations in the Persisters group were significant and persistent, whereas those observed in the Non-Persisters group were limited. At the genus level, up to seven genera changed significantly in Persisters group, whereas only the genus Anaerobacterium changed significantly in Non-Persisters group throughout the experiment. At baseline, we observed highly distinct microbial alpha diversity and taxonomic features between the Persisters and Non-Persisters groups. A total of 12 genera were associated with probiotic persistence, with Bifidobacterium and eight other genera negatively associated with probiotic persistence and Anaerobacterium, Paraprevotella and Erysipelatoclostridium positively associated with probiotic persistence. Based on these potential biomarkers, an “Anti-Engraftment Index” (AEI) was derived to classify and predict probiotic persistence in test and validation cohorts with high accuracy. However, we also observed that the AEI did not work in other probiotic consumption experiments, indicating that the AEI was strain-specific.
Various factors, including those associated with the host and environment, should be considered to further explore the health-promoting effects of probiotics. However, it is important to consider persistence as a basic but crucial factor in the function of probiotics in the gut. To date, few studies have investigated the factors that influence probiotic persistence. To address these challenges, we designed a cohort experiment that included 49 subjects and used the probiotic Bifidobacterium lactis V9 to identify intestinal microbiota related to probiotic persistence based on high-throughput amplicon sequencing. All of the subjects were divided into three groups (Persisters, Temporary and Non-Persisters) according to the detected amount of viable Bifidobacterium lactis V9 in their faeces. Accordingly, the intestinal microbiota fluctuations in the Persisters group were significant and persistent, whereas those observed in the Non-Persisters group were limited. At the genus level, up to seven genera changed significantly in Persisters group, whereas only the genus Anaerobacterium changed significantly in Non-Persisters group throughout the experiment. At baseline, we observed highly distinct microbial alpha diversity and taxonomic features between the Persisters and Non-Persisters groups. A total of 12 genera were associated with probiotic persistence, with Bifidobacterium and eight other genera negatively associated with probiotic persistence and Anaerobacterium, Paraprevotella and Erysipelatoclostridium positively associated with probiotic persistence. Based on these potential biomarkers, an "Anti-Engraftment Index" (AEI) was derived to classify and predict probiotic persistence in test and validation cohorts with high accuracy. However, we also observed that the AEI did not work in other probiotic consumption experiments, indicating that the AEI was strain-specific.Various factors, including those associated with the host and environment, should be considered to further explore the health-promoting effects of probiotics. However, it is important to consider persistence as a basic but crucial factor in the function of probiotics in the gut. To date, few studies have investigated the factors that influence probiotic persistence. To address these challenges, we designed a cohort experiment that included 49 subjects and used the probiotic Bifidobacterium lactis V9 to identify intestinal microbiota related to probiotic persistence based on high-throughput amplicon sequencing. All of the subjects were divided into three groups (Persisters, Temporary and Non-Persisters) according to the detected amount of viable Bifidobacterium lactis V9 in their faeces. Accordingly, the intestinal microbiota fluctuations in the Persisters group were significant and persistent, whereas those observed in the Non-Persisters group were limited. At the genus level, up to seven genera changed significantly in Persisters group, whereas only the genus Anaerobacterium changed significantly in Non-Persisters group throughout the experiment. At baseline, we observed highly distinct microbial alpha diversity and taxonomic features between the Persisters and Non-Persisters groups. A total of 12 genera were associated with probiotic persistence, with Bifidobacterium and eight other genera negatively associated with probiotic persistence and Anaerobacterium, Paraprevotella and Erysipelatoclostridium positively associated with probiotic persistence. Based on these potential biomarkers, an "Anti-Engraftment Index" (AEI) was derived to classify and predict probiotic persistence in test and validation cohorts with high accuracy. However, we also observed that the AEI did not work in other probiotic consumption experiments, indicating that the AEI was strain-specific.
[Display omitted] •Baseline differences of gut microbiota determine the response for the probiotic.•Anti-Engraftment Index was used to predict the persistence ability of the probiotic.•Pay attention to strain-specific and cohort-specific studies in probiotics research. Various factors, including those associated with the host and environment, should be considered to further explore the health-promoting effects of probiotics. However, it is important to consider persistence as a basic but crucial factor in the function of probiotics in the gut. To date, few studies have investigated the factors that influence probiotic persistence. To address these challenges, we designed a cohort experiment that included 49 subjects and used the probiotic Bifidobacterium lactis V9 to identify intestinal microbiota related to probiotic persistence based on high-throughput amplicon sequencing. All of the subjects were divided into three groups (Persisters, Temporary and Non-Persisters) according to the detected amount of viable Bifidobacterium lactis V9 in their faeces. Accordingly, the intestinal microbiota fluctuations in the Persisters group were significant and persistent, whereas those observed in the Non-Persisters group were limited. At the genus level, up to seven genera changed significantly in Persisters group, whereas only the genus Anaerobacterium changed significantly in Non-Persisters group throughout the experiment. At baseline, we observed highly distinct microbial alpha diversity and taxonomic features between the Persisters and Non-Persisters groups. A total of 12 genera were associated with probiotic persistence, with Bifidobacterium and eight other genera negatively associated with probiotic persistence and Anaerobacterium, Paraprevotella and Erysipelatoclostridium positively associated with probiotic persistence. Based on these potential biomarkers, an “Anti-Engraftment Index” (AEI) was derived to classify and predict probiotic persistence in test and validation cohorts with high accuracy. However, we also observed that the AEI did not work in other probiotic consumption experiments, indicating that the AEI was strain-specific.
ArticleNumber 109496
Author Huo, Dongxue
Ma, Chenchen
You, Zhengkai
Peng, Qiannan
Jiang, Shuaiming
Chang, Haibo
Zhang, Jiachao
Zhang, Heping
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  email: hepingdd@vip.sina.com
  organization: Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Key Laboratory of Dairy Produce Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot 010018, PR China
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Keywords Bifidobacterium lactis V9
Probiotic
Biomarkers
Anti-Engraftment Index
Intestinal microbiota
Language English
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Snippet [Display omitted] •Baseline differences of gut microbiota determine the response for the probiotic.•Anti-Engraftment Index was used to predict the persistence...
Various factors, including those associated with the host and environment, should be considered to further explore the health-promoting effects of probiotics....
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StartPage 109496
SubjectTerms Anti-Engraftment Index
Bifidobacterium
Bifidobacterium animalis
Bifidobacterium animalis subsp. lactis
Bifidobacterium lactis V9
Biomarkers
digestive system
feces
food research
Gastrointestinal Microbiome
health promotion
Humans
Intestinal microbiota
intestinal microorganisms
microbiome
Microbiota
Probiotic
Probiotics
species diversity
Title Differential pattern of indigenous microbiome responses to probiotic Bifidobacterium lactis V9 consumption across subjects
URI https://dx.doi.org/10.1016/j.foodres.2020.109496
https://www.ncbi.nlm.nih.gov/pubmed/32846577
https://www.proquest.com/docview/2437845960
https://www.proquest.com/docview/2986666245
Volume 136
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