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        Effects of Flax Fiber on Laxation and Glycemic Response in Healthy Volunteers

        Wendy J. Dahl,Erin A. Lockert,Allison L. Cammer,Susan J. Whiting 한국식품영양과학회 2005 Journal of medicinal food Vol.8 No.4

        We investigated whether a flax supplement taken orally or baked in a bakery product would effect the physi-ological responses characteristic of soluble and insoluble fiber, i.e., laxation and glycemic response, respectively. In Study 1,26 healthy young adults consumed up to 15 g of fiber from a proprietary flax fiber supplement or as a psyllium supplementfor 2 weeks once usual fecal weights were established. Changes in dietary fiber intake and acceptability of both products wereevaluated. An increase in fecal weight was found with both fiber treatments. Supplemental fiber at intakes of 9.0 g/day (flax)and 10.4 g/day (psyllium) gave fecal bulking capacity of about 2.9 and 4.8 g of fecal weight/g of fiber, respectively. In Study2, the effect of flax bread versus control white bread on glycemic response was studied. Eleven fasting subjects completedfour test periods (duplicate trials of each bread) under standardized glycemic testing conditions. Paired ttests were used toanalyze test compared with control peak blood glucose values (6.6. 0.9 mmol/L compared with 6.9. 0.7 mmol/L, P. .05,respectively) and area under the curve (AUC) (669. 53 compared with 693. 57, P. .015, respectively). Peak blood glu-cose values and AUC were improved by ingestion of flax fiber in healthy subjects. In conclusion, a flax fiber supplement pro-vides the benefits of soluble and insoluble fiber.

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        Total Transit Time and Probiotic Persistence in Healthy Adults: A Pilot Study

        Annie Tremblay,Jeremie Auger,Zainab Alyousif,Sara E Caballero Calero,Olivier Mathieu,Daniela Rivero-Mendoza,Amal Elmaoui,Wendy J Dahl,Thomas A Tompkins 대한소화기 기능성질환∙운동학회 2023 Journal of Neurogastroenterology and Motility (JNM Vol.29 No.2

        Background/AimsMotility, 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. MethodsThirty 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. ResultsTested 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. ConclusionThese 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.

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