Annie Tremblay, Jeremie Auger, Zainab Alyousif, Sara E Caballero Calero, Olivier Mathieu, Daniela Rivero-Mendoza, Amal Elmaoui, Wendy J Dahl, Thomas A Tompkins
{"title":"健康成人的总转运时间和益生菌持久性:一项初步研究。","authors":"Annie Tremblay, Jeremie Auger, Zainab Alyousif, Sara E Caballero Calero, Olivier Mathieu, Daniela Rivero-Mendoza, Amal Elmaoui, Wendy J Dahl, Thomas A Tompkins","doi":"10.5056/jnm22031","DOIUrl":null,"url":null,"abstract":"<p><strong>Background/aims: </strong>Motility, stool characteristics, and microbiota composition are expected to modulate probiotics' passage through the gut but their effects on persistence after intake cessation remain uncharacterized. This pilot, open-label study aims at characterizing probiotic fecal detection parameters (onset, persistence, and duration) and their relationship with whole gut transit time (WGTT). Correlations with fecal microbiota composition are also explored.</p><p><strong>Methods: </strong>Thirty healthy adults (30.4 ± 13.3 years) received a probiotic (30 × 10<sup>9</sup> CFU/capsule/day, 2 weeks; containing <i>Lactobacillus helveticus</i> R0052, <i>Lacticaseibacillus paracasei</i> HA-108, <i>Bifidobacterium breve</i> HA-129, <i>Bifidobacterium longum</i> R0175, and <i>Streptococcus thermophilus</i> HA-110). Probiotic intake was flanked by 4-week washout periods, with 18 stool collections throughout the study. WGTT was measured using 80% recovery of radio-opaque markers.</p><p><strong>Results: </strong>Tested strains were detected in feces ~1-2 days after first intake and persistence after intake cessation was not significantly different for R0052, HA-108, and HA-129 (~3-6 days). We identified 3 WGTT subgroups within this population (named Fast, Intermediate, and Slow), which could be classified by machine learning with high accuracy based on differentially abundant taxa. On average, R0175 persisted significantly longer in the intermediate WGTT subgroup (~8.5 days), which was mainly due to 6 of the 13 Intermediate participants for whom R0175 persisted ≥ 15 days. Machine learning classified these 13 participants according to their WGTT cluster (≥ 15 days or < 5 days) with high accuracy, highlighting differentially abundant taxa potentially associated with R0175 persistence.</p><p><strong>Conclusion: </strong>These results support the notion that host-specific parameters such as WGTT and microbiota composition should be considered when designing studies involving probiotics, especially for the optimization of washout duration in crossover studies but also for the definition of enrollment criteria or supplementation regimen in specific populations.</p>","PeriodicalId":16543,"journal":{"name":"Journal of Neurogastroenterology and Motility","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/1a/2c/jnm-29-2-218.PMC10083121.pdf","citationCount":"2","resultStr":"{\"title\":\"Total Transit Time and Probiotic Persistence in Healthy Adults: A Pilot Study.\",\"authors\":\"Annie Tremblay, Jeremie Auger, Zainab Alyousif, Sara E Caballero Calero, Olivier Mathieu, Daniela Rivero-Mendoza, Amal Elmaoui, Wendy J Dahl, Thomas A Tompkins\",\"doi\":\"10.5056/jnm22031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background/aims: </strong>Motility, stool characteristics, and microbiota composition are expected to modulate probiotics' passage through the gut but their effects on persistence after intake cessation remain uncharacterized. This pilot, open-label study aims at characterizing probiotic fecal detection parameters (onset, persistence, and duration) and their relationship with whole gut transit time (WGTT). Correlations with fecal microbiota composition are also explored.</p><p><strong>Methods: </strong>Thirty healthy adults (30.4 ± 13.3 years) received a probiotic (30 × 10<sup>9</sup> CFU/capsule/day, 2 weeks; containing <i>Lactobacillus helveticus</i> R0052, <i>Lacticaseibacillus paracasei</i> HA-108, <i>Bifidobacterium breve</i> HA-129, <i>Bifidobacterium longum</i> R0175, and <i>Streptococcus thermophilus</i> HA-110). Probiotic intake was flanked by 4-week washout periods, with 18 stool collections throughout the study. WGTT was measured using 80% recovery of radio-opaque markers.</p><p><strong>Results: </strong>Tested strains were detected in feces ~1-2 days after first intake and persistence after intake cessation was not significantly different for R0052, HA-108, and HA-129 (~3-6 days). We identified 3 WGTT subgroups within this population (named Fast, Intermediate, and Slow), which could be classified by machine learning with high accuracy based on differentially abundant taxa. On average, R0175 persisted significantly longer in the intermediate WGTT subgroup (~8.5 days), which was mainly due to 6 of the 13 Intermediate participants for whom R0175 persisted ≥ 15 days. Machine learning classified these 13 participants according to their WGTT cluster (≥ 15 days or < 5 days) with high accuracy, highlighting differentially abundant taxa potentially associated with R0175 persistence.</p><p><strong>Conclusion: </strong>These results support the notion that host-specific parameters such as WGTT and microbiota composition should be considered when designing studies involving probiotics, especially for the optimization of washout duration in crossover studies but also for the definition of enrollment criteria or supplementation regimen in specific populations.</p>\",\"PeriodicalId\":16543,\"journal\":{\"name\":\"Journal of Neurogastroenterology and Motility\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2023-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/1a/2c/jnm-29-2-218.PMC10083121.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Neurogastroenterology and Motility\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5056/jnm22031\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neurogastroenterology and Motility","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5056/jnm22031","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Total Transit Time and Probiotic Persistence in Healthy Adults: A Pilot Study.
Background/aims: Motility, stool characteristics, and microbiota composition are expected to modulate probiotics' passage through the gut but their effects on persistence after intake cessation remain uncharacterized. This pilot, open-label study aims at characterizing probiotic fecal detection parameters (onset, persistence, and duration) and their relationship with whole gut transit time (WGTT). Correlations with fecal microbiota composition are also explored.
Methods: Thirty healthy adults (30.4 ± 13.3 years) received a probiotic (30 × 109 CFU/capsule/day, 2 weeks; containing Lactobacillus helveticus R0052, Lacticaseibacillus paracasei HA-108, Bifidobacterium breve HA-129, Bifidobacterium longum R0175, and Streptococcus thermophilus HA-110). Probiotic intake was flanked by 4-week washout periods, with 18 stool collections throughout the study. WGTT was measured using 80% recovery of radio-opaque markers.
Results: Tested strains were detected in feces ~1-2 days after first intake and persistence after intake cessation was not significantly different for R0052, HA-108, and HA-129 (~3-6 days). We identified 3 WGTT subgroups within this population (named Fast, Intermediate, and Slow), which could be classified by machine learning with high accuracy based on differentially abundant taxa. On average, R0175 persisted significantly longer in the intermediate WGTT subgroup (~8.5 days), which was mainly due to 6 of the 13 Intermediate participants for whom R0175 persisted ≥ 15 days. Machine learning classified these 13 participants according to their WGTT cluster (≥ 15 days or < 5 days) with high accuracy, highlighting differentially abundant taxa potentially associated with R0175 persistence.
Conclusion: These results support the notion that host-specific parameters such as WGTT and microbiota composition should be considered when designing studies involving probiotics, especially for the optimization of washout duration in crossover studies but also for the definition of enrollment criteria or supplementation regimen in specific populations.
期刊介绍:
Journal of Neurogastroenterology and Motility (J Neurogastroenterol Motil) is a joint official journal of the Korean Society of Neurogastroenterology and Motility, the Thai Neurogastroenterology and Motility Society, the Japanese Society of Neurogastroenterology and Motility, the Indian Motility and Functional Disease Association, the Chinese Society of Gastrointestinal Motility, the South East Asia Gastro-Neuro Motility Association, the Taiwan Neurogastroenterology and Motility Society and the Asian Neurogastroenterology and Motility Association, launched in January 2010 after the title change from the Korean Journal of Neurogastroenterology and Motility, published from 1994 to 2009.