Dietary fiber intervention on gut microbiota composition in healthy adults: a systematic review and meta-analysis
Open accessAbstract
Background Dysfunction of the gut microbiota is frequently reported as a manifestation of chronic diseases, and therefore presents as a modifiable risk factor in their development. Diet is a major regulator of the gut microbiota, and certain types of dietary fiber may modify bacterial numbers and metabolism, including short-chain fatty acid (SCFA) generation.Objective A systematic review and meta-analysis were undertaken to assess the effect of dietary fiber interventions on gut microbiota composition in healthy adults.Design A systematic search was conducted across MEDLINE, EMBASE, CENTRAL, and CINAHL for randomized controlled trials using culture and/or molecular microbiological techniques evaluating the effect of fiber intervention on gut microbiota composition in healthy adults. Meta-analyses via a random-effects model were performed on alpha diversity, prespecified bacterial abundances including Bifidobacterium and Lactobacillus spp., and fecal SCFA concentrations comparing dietary fiber interventions with placebo/low-fiber comparators.Results A total of 64 studies involving 2099 participants were included. Dietary fiber intervention resulted in higher abundance of Bifidobacterium spp. (standardized mean difference (SMD): 0.64; 95% CI: 0.42, 0.86; P < 0.00001) and Lactobacillus spp. (SMD: 0.22; 0.03, 0.41; P = 0.02) as well as fecal butyrate concentration (SMD: 0.24; 0.00, 0.47; P = 0.05) compared with placebo/low-fiber comparators. Subgroup analysis revealed that fructans and galacto-oligosaccharides led to significantly greater abundance of both Bifidobacterium spp. and Lactobacillus spp. compared with comparators (P < 0.00001 and P = 0.002, respectively). No differences in effect were found between fiber intervention and comparators for α-diversity, abundances of other prespecified bacteria, or other SCFA concentrations.Conclusions Dietary fiber intervention, particularly involving fructans and galacto-oligosaccharides, leads to higher fecal abundance of Bifidobacterium and Lactobacillus spp. but does not affect α-diversity. Further research is required to better understand the role of individual fiber types on the growth of microbes and the overall gut microbial community. This review was registered at PROSPERO as CRD42016053101.
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- Findingown data
General fiber interventions did not differ from comparators in Bifidobacterium spp. abundance (SMD 0.25; 95% CI -0.16, 0.65; P = 0.24).
“However, there was no difference in effect between the general fiber subgroup and comparators (SMD: 0.25; 95% CI: -0.16, 0.65; P = 0.24, I 2 = 86%).”
Quote in the paperSubstantial claim - Findingown data
Dietary fiber increased Bifidobacterium spp. abundance relative to comparators at doses ≤5 g/d (SMD 0.51; 95% CI 0.18, 0.84; P = 0.003).
“Subgroup analysis of dose-response showed dietary fiber led to significantly higher Bifidobacterium spp.abundance compared with placebo/low-fiber comparators at all predefined dosages (≤5 g/d fiber SMD: 0.51; 95% CI: 0.18, 0.84; P = 0.003, I 2 = 70%; 5-10 g/d SMD: 0.48; 95% CI: 0.13, 0.83; P = 0.007, I 2 = 87%; >10 g/d SMD: 0.85; 95% CI: 0.45, 1.25; P < 0.00001, I 2 = 85%).”
Quote in the paperSubstantial claim - Findingcitation
In supplement trials of accepted prebiotics, inulin supplementation resulted in higher Bifidobacterium spp. abundance than placebo at the end of intervention.
“In the supplement trials of accepted prebiotics, a significantly higher Bifidobacterium spp.abundance was reported after supplementation involving inulin (115) and human milk oligosaccharides (HMO) (62) compared with placebo at the end of intervention, whereas a significant within-group increase from baseline was detected after 10 g/d inulin supplementation (95).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [115] Blædel, 2016, A randomised, controlled, crossover study of the effect of diet on angiopoietin-like protein 4 (ANGPTL4) through modification of the gut microbiome, J Nutr Sci source
Not checked in the free run.
- Findingown data
Dietary fiber increased Bifidobacterium spp. abundance relative to comparators at doses of 5-10 g/d (SMD 0.48; 95% CI 0.13, 0.83; P = 0.007).
“Subgroup analysis of dose-response showed dietary fiber led to significantly higher Bifidobacterium spp.abundance compared with placebo/low-fiber comparators at all predefined dosages (≤5 g/d fiber SMD: 0.51; 95% CI: 0.18, 0.84; P = 0.003, I 2 = 70%; 5-10 g/d SMD: 0.48; 95% CI: 0.13, 0.83; P = 0.007, I 2 = 87%; >10 g/d SMD: 0.85; 95% CI: 0.45, 1.25; P < 0.00001, I 2 = 85%).”
Quote in the paperSubstantial claim - Findingown data
Food interventions did not differ from comparators in Bifidobacterium spp. abundance (SMD 0.20; 95% CI -0.36, 0.76; P = 0.49).
“However, subgroup analysis showed fiber interventions delivered through supplements resulted in a significantly higher Bifidobacterium spp.abundance compared with placebo/lowfiber controls (SMD: 0.75; 95% CI: 0.52, 0.98; P < 0.00001, I 2 = 83%), whereas no differences were found between food interventions and comparators (SMD: 0.20; 95% CI: -0.36, 0.76; P = 0.49, I 2 = 88%), although considerable”
Quote in the paperSubstantial claim
- Findingown data
Dietary fiber increased Bifidobacterium spp. abundance relative to comparators at doses >10 g/d (SMD 0.85; 95% CI 0.45, 1.25; P < 0.00001).
“Subgroup analysis of dose-response showed dietary fiber led to significantly higher Bifidobacterium spp.abundance compared with placebo/low-fiber comparators at all predefined dosages (≤5 g/d fiber SMD: 0.51; 95% CI: 0.18, 0.84; P = 0.003, I 2 = 70%; 5-10 g/d SMD: 0.48; 95% CI: 0.13, 0.83; P = 0.007, I 2 = 87%; >10 g/d SMD: 0.85; 95% CI: 0.45, 1.25; P < 0.00001, I 2 = 85%).”
Quote in the paperSubstantial claim - Findingown data
In healthy adults, dietary fiber intervention increased fecal butyrate concentration relative to placebo or low-fiber comparators (SMD 0.24; 95% CI 0.00, 0.47; P = 0.05).
“Dietary fiber intervention resulted in higher abundance of Bifidobacterium spp.(standardized mean difference (SMD): 0.64; 95% CI: 0.42, 0.86; P < 0.00001) and Lactobacillus spp.(SMD: 0.22; 0.03, 0.41; P = 0.02) as well as fecal butyrate concentration (SMD: 0.24; 0.00, 0.47; P = 0.05) compared with placebo/low-fiber comparators.”
Quote in the paperSubstantial claim - Findingown data
Fructans and galacto-oligosaccharides led to a greater abundance of Bifidobacterium spp. than comparators (P < 0.00001).
“Subgroup analysis revealed that fructans and galactooligosaccharides led to significantly greater abundance of both Bifidobacterium spp.and Lactobacillus spp.compared with comparators (P < 0.00001 and P = 0.002, respectively).”
Quote in the paperSubstantial claim - Findingown data
Dietary fiber intervention did not affect the abundances of prespecified bacteria other than Bifidobacterium and Lactobacillus spp. relative to comparators.
“No differences in effect were found between fiber intervention and comparators for α-diversity, abundances of other prespecified bacteria, or other SCFA concentrations.”
Quote in the paperSubstantial claim - Findingown data
Fructans and galacto-oligosaccharides led to a greater abundance of Lactobacillus spp. than comparators (P = 0.002).
“Subgroup analysis revealed that fructans and galactooligosaccharides led to significantly greater abundance of both Bifidobacterium spp.and Lactobacillus spp.compared with comparators (P < 0.00001 and P = 0.002, respectively).”
Quote in the paperSubstantial claim - Findingown data
Subgroup analyses by trial design or microbiota analysis method found no differences in the effect on Bifidobacterium spp. abundance.
“No differences were found in subgroup analyses of trial design or microbiota analysis method (Supplemental Table 6).”
Quote in the paperNot a substantial claim - Findingown data
In healthy adults, dietary fiber intervention increased the abundance of Lactobacillus spp. relative to placebo or low-fiber comparators (SMD 0.22; 95% CI 0.03, 0.41; P = 0.02).
“Dietary fiber intervention resulted in higher abundance of Bifidobacterium spp.(standardized mean difference (SMD): 0.64; 95% CI: 0.42, 0.86; P < 0.00001) and Lactobacillus spp.(SMD: 0.22; 0.03, 0.41; P = 0.02) as well as fecal butyrate concentration (SMD: 0.24; 0.00, 0.47; P = 0.05) compared with placebo/low-fiber comparators.”
Quote in the paperSubstantial claim - Findingown data
Candidate prebiotic fiber interventions increased Bifidobacterium spp. abundance relative to placebo or low-fiber controls (SMD 0.77; 95% CI 0.30, 1.24; P < 0.00001).
“Subgroup analysis demonstrated interventions investigating fibers classified as accepted prebiotics and candidate prebiotics resulted in a significantly higher Bifidobacterium spp.abundance compared with placebo/low-fiber controls (accepted prebiotic fiber SMD: 0.68; 95% CI: 0.38, 0.98; P < 0.00001, I 2 = 81%; candidate prebiotic fiber SMD: 0.77; 95% CI: 0.30, 1.24; P < 0.00001, I 2 = 86%) (Figure”
Quote in the paperSubstantial claim - Findingown data
Fiber supplement interventions increased Bifidobacterium spp. abundance relative to placebo or low-fiber controls (SMD 0.75; 95% CI 0.52, 0.98; P < 0.00001).
“However, subgroup analysis showed fiber interventions delivered through supplements resulted in a significantly higher Bifidobacterium spp.abundance compared with placebo/lowfiber controls (SMD: 0.75; 95% CI: 0.52, 0.98; P < 0.00001, I 2 = 83%), whereas no differences were found between food interventions and comparators (SMD: 0.20; 95% CI: -0.36, 0.76; P = 0.49, I 2 = 88%), although considerable”
Quote in the paperSubstantial claim - Findingown data
Dietary fiber intervention did not affect fecal concentrations of short-chain fatty acids other than butyrate relative to comparators.
“No differences in effect were found between fiber intervention and comparators for α-diversity, abundances of other prespecified bacteria, or other SCFA concentrations.”
Quote in the paperSubstantial claim - Findingown data
Dietary fiber intervention did not affect α-diversity measured by the Shannon diversity index relative to placebo or low-fiber comparators (MD -0.06; 95% CI -0.25, 0.12; P = 0.48).
“No differences in effect were found between fiber intervention and comparators for α-diversity, abundances of other prespecified bacteria, or other SCFA concentrations.”
- Also stated in: § Dietary fiber and gut microbiota diversity (α-diversity) · plain
“Dietary fiber intervention had no effect on α-diversity compared with placebo/low-fiber comparators (MD: -0.06 Shannon diversity index; 95% CI: -0.25, 0.12; P = 0.48), albeit with substantial heterogeneity (I 2 = 53%).”
Quote in the paperSubstantial claim - Also stated in: § Dietary fiber and gut microbiota diversity (α-diversity) · plain
- Findingown data
In healthy adults, dietary fiber intervention increased the abundance of Bifidobacterium spp. relative to placebo or low-fiber comparators (SMD 0.64; 95% CI 0.42, 0.86; P < 0.00001).
“Dietary fiber intervention resulted in higher abundance of Bifidobacterium spp.(standardized mean difference (SMD): 0.64; 95% CI: 0.42, 0.86; P < 0.00001)”
- Also stated in: § Dietary fiber and bacterial abundances · plain
“Dietary fiber led to a significantly greater Bifidobacterium spp.abundance compared with placebo/low-fiber comparators (SMD: 0.64; 95% CI: 0.42, 0.86; P < 0.00001), albeit with considerable heterogeneity (I 2 = 85%) (Figure 2).”
Quote in the paperSubstantial claim - Also stated in: § Dietary fiber and bacterial abundances · plain
- Findingown data
Dietary fiber intervention did not affect α-diversity measured by total observed OTUs relative to placebo or low-fiber comparators (MD -4.37 OTUs; 95% CI -42.92, 34.19; P = 0.82).
“Dietary fiber had no effect on α-diversity compared with placebo/low-fiber comparators (MD: -4.37 OTUs; 95% CI: -42.92, 34.19; P = 0.82), with no heterogeneity (I 2 = 0%).”
Quote in the paperSubstantial claim - Findingown data
Accepted prebiotic fiber interventions increased Bifidobacterium spp. abundance relative to placebo or low-fiber controls (SMD 0.68; 95% CI 0.38, 0.98; P < 0.00001).
“Subgroup analysis demonstrated interventions investigating fibers classified as accepted prebiotics and candidate prebiotics resulted in a significantly higher Bifidobacterium spp.abundance compared with placebo/low-fiber controls (accepted prebiotic fiber SMD: 0.68; 95% CI: 0.38, 0.98; P < 0.00001, I 2 = 81%; candidate prebiotic fiber SMD: 0.77; 95% CI: 0.30, 1.24; P < 0.00001, I 2 = 86%) (Figure”
Quote in the paperSubstantial claim - Findingcitation
15 g/d arabinoxylan supplementation did not significantly change Simpson's evenness α-diversity compared with placebo (P = 0.063).
“A trial involving 15 g/d arabinoxylan supplementation reported variable intervention effects when α-diversity was evaluated with different metrics: α-diversity was significantly lower compared with placebo when measured through observed species (P = 0.029), but there were no significant differences when assessed by Simpson's evenness (P = 0.063) (80).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [80] Salden, 2018, Reinforcement of intestinal epithelial barrier by arabinoxylans in overweight and obese subjects: a randomized controlled trial. Arabinoxylans in gut barrier, Clin Nutr source
Not checked in the free run.
- Findingcitation
In a food study comparing whole grains with refined-grain products, no significant difference in Bifidobacterium spp. abundance was found at the end of intervention.
“Finally, a food study comparing intakes of whole grains with refined-grain products found no significant difference in Bifidobacterium spp.abundance at the end of the intervention period (78).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [78] Cooper, 2017, The effects of moderate whole grain consumption on fasting glucose and lipids, gastrointestinal symptoms, and microbiota, Nutrients source
Not checked in the free run.
- Findingown data
No difference in α-diversity in parallel design trials (MD -0.03, 95% CI -0.57 to 0.51, P=0.91).
“Dietary fiber led to significantly lower α-diversity compared with placebo/low-fiber comparators in crossover design trials, in which α-diversity was reported with the use of Shannon diversity index (MD: -0.10; 95% CI: -0.19, -0.01; P = 0.03), whereas there was no difference in α-diversity in parallel design trials (MD: -0.03; 95% CI: -0.57, 0.51; P = 0.91) (Supplemental Table 6).”
Quote in the paperSubstantial claim - Findingcitation
Polydextrose supplementation resulted in significantly higher Simpson's index α-diversity than placebo after 21 days (P = 0.014).
“A study evaluating α-diversity through Simpson's index found that it was significantly higher in the intervention group receiving polydextrose compared with placebo after 21 d (P = 0.014) (88).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [88] Costabile, 2012, Impact of polydextrose on the faecal microbiota: a double-blind, crossover, placebo-controlled feeding study in healthy human subjects, Br J Nutr source
Not checked in the free run.
- Findingcitation
In supplement studies of general fiber, xylo-oligosaccharide supplementation resulted in higher Bifidobacterium spp. abundance than placebo.
“In the supplement studies of general fiber, Bifidobacterium spp.abundance was higher after xylo-oligosaccharide supplementation compared with placebo (69) whereas manno-oligosaccharides had no effect on Bifidobacterium spp.compared with placebo (113).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] Lin, 2016, Prebiotic effects of xylooligosaccharides on the improvement of microbiota balance in human subjects, Gastroenterol Res Pract source
Not checked in the free run.
- Findingown data
Accepted prebiotic fiber interventions led to higher Lactobacillus abundance compared with controls (SMD 0.34, 95% CI 0.13-0.55, P=0.002, I2=0%).
“Subgroup analysis of fiber types showed accepted prebiotic fiber interventions led to a significantly greater Lactobacillus spp.abundance compared with placebo/low-fiber controls and further reduced heterogeneity (SMD: 0.34; 95% CI: 0.13, 0.55; P = 0.002, I 2 = 0%) (Figure 3).”
Quote in the paperSubstantial claim - Findingcitation
In supplement studies of general fiber, manno-oligosaccharides had no effect on Bifidobacterium spp. compared with placebo.
“In the supplement studies of general fiber, Bifidobacterium spp.abundance was higher after xylo-oligosaccharide supplementation compared with placebo (69) whereas manno-oligosaccharides had no effect on Bifidobacterium spp.compared with placebo (113).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [113] Walton, 2010, A double-blind, placebo controlled human study investigating the effects of coffee derived manno-oligosaccharides on the faecal microbiota of a healthy adult population, Int J Probiotics Prebiotics
Not checked in the free run.
- Findingown data
Food interventions showed no significant difference in Lactobacillus abundance compared with controls (SMD 0.35, 95% CI -0.46 to 1.16, P=0.40, I2=84%).
“No significant differences in effect were found between food interventions and comparators (SMD: 0.35; 95% CI: -0.46, 1.16; P = 0.40, I 2 = 84%).”
Quote in the paperSubstantial claim - Findingcitation
A whole-grain versus refined-grain feeding trial found no difference in α-diversity at the end of intervention.
“A feeding trial comparing whole-grain and refined-grain diets found no difference in α-diversity at end of intervention between the 2 groups, although the metric used to measure α-diversity was not reported (79).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [79] Karl, 2017, Substituting whole grains for refined grains in a 6-wk randomized trial favorably affects energy-balance metrics in healthy men and postmenopausal women, Am J Clin Nutr source
Not checked in the free run.
- Findingown data
Fiber supplement interventions resulted in higher Lactobacillus abundance compared with controls (SMD 0.16, 95% CI 0.01-0.31, P=0.04, I2=7%).
“Subgroup analysis demonstrated interventions involving fiber supplements resulted in a significantly higher Lactobacillus spp.abundance compared with placebo/low-fiber controls while substantially reducing study heterogeneity (SMD: 0.16; 95% CI: 0.01, 0.31; P = 0.04, I 2 = 7%).”
Quote in the paperSubstantial claim - Findingcitation
15 g/d arabinoxylan supplementation resulted in significantly lower observed species α-diversity than placebo (P = 0.029).
“A trial involving 15 g/d arabinoxylan supplementation reported variable intervention effects when α-diversity was evaluated with different metrics: α-diversity was significantly lower compared with placebo when measured through observed species (P = 0.029), but there were no significant differences when assessed by Simpson's evenness (P = 0.063) (80).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [80] Salden, 2018, Reinforcement of intestinal epithelial barrier by arabinoxylans in overweight and obese subjects: a randomized controlled trial. Arabinoxylans in gut barrier, Clin Nutr source
Not checked in the free run.
- Findingown data
No included study reported on the abundance of Akkermansia muciniphila.
“No studies reported on the abundance of A. muciniphila.”
Quote in the paperNot a substantial claim - Findingcitation
In supplement trials of accepted prebiotics, human milk oligosaccharide supplementation resulted in higher Bifidobacterium spp. abundance than placebo at the end of intervention.
“In the supplement trials of accepted prebiotics, a significantly higher Bifidobacterium spp.abundance was reported after supplementation involving inulin (115) and human milk oligosaccharides (HMO) (62) compared with placebo at the end of intervention, whereas a significant within-group increase from baseline was detected after 10 g/d inulin supplementation (95).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [62] Elison, 2016, Oral supplementation of healthy adults with 2′-O-fucosyllactose and lacto-N-neotetraose is well tolerated and shifts the intestinal microbiota, Br J Nutr source
Not checked in the free run.
- Findingcitation
A resistant starch type 2 supplementation trial found significant end-of-intervention differences in α-diversity between intervention and comparator groups by Shannon and inverse Simpson indices.
“Conversely, significant end of intervention differences in α-diversity measured by Shannon diversity index (P = 0.013) and inverse Simpson index (P = 0.004) were detected between intervention and comparator groups in a supplementation trial involving resistant starch type 2 (77).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [77] Alfa, 2018, A randomized trial to determine the impact of a digestion resistant starch composition on the gut microbiome in older and mid-age adults, Clin Nutr source
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- Findingown data
Dietary fiber led to higher Lactobacillus abundance when enumerated via culture (SMD 0.61, 95% CI 0.13-1.08, P=0.01).
“Subgroup analysis of analysis method demonstrated dietary fiber led to significantly higher Lactobacillus spp.abundance compared with placebo/low-fiber comparators when enumerated via culture (SMD: 0.61; 95% CI: 0.13, 1.08; P = 0.01).”
Quote in the paperSubstantial claim - Findingcitation
In a candidate prebiotic trial, resistant starch supplementation resulted in higher Bifidobacterium spp. abundance than placebo at the end of intervention.
“In the candidate prebiotic trial of resistant starch supplementation, Bifidobacterium spp.abundance was significantly higher in the intervention group compared with placebo at end of intervention (77).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [77] Alfa, 2018, A randomized trial to determine the impact of a digestion resistant starch composition on the gut microbiome in older and mid-age adults, Clin Nutr source
Not checked in the free run.
- Findingown data
General fiber interventions showed no difference in Lactobacillus abundance compared with controls (SMD 0.22, 95% CI -0.31 to 0.75, P=0.42, I2=74%).
“There were no differences in effect in the candidate prebiotic (SMD: -0.06; 95% CI: -0.29, 0.16; P = 0.58, I 2 = 0%) and general fiber (SMD: 0.22; 95% CI: -0.31, 0.75; P = 0.42, I 2 = 74%) subgroups when compared with comparators.”
Quote in the paperSubstantial claim - Findingown data
Dietary fiber led to significantly lower α-diversity compared with placebo or low-fiber comparators in crossover design trials (MD -0.10, 95% CI -0.19 to -0.01, P=0.03).
“Dietary fiber led to significantly lower α-diversity compared with placebo/low-fiber comparators in crossover design trials, in which α-diversity was reported with the use of Shannon diversity index (MD: -0.10; 95% CI: -0.19, -0.01; P = 0.03), whereas there was no difference in α-diversity in parallel design trials (MD: -0.03; 95% CI: -0.57, 0.51; P = 0.91) (Supplemental Table 6).”
Quote in the paperSubstantial claim - Findingown data
Dietary fiber intervention increases Lactobacillus spp. abundance compared with placebo or low-fiber comparators (SMD 0.37, 95% CI 0.07-0.68, P=0.02).
“Dietary fiber led to a significantly greater Lactobacillus spp.abundance compared with placebo/low-fiber comparators (SMD: 0.37; 95% CI: 0.07, 0.68; P = 0.02).”
Quote in the paperSubstantial claim - Findingown data
Candidate prebiotic fiber interventions showed no difference in Lactobacillus abundance compared with controls (SMD -0.06, 95% CI -0.29 to 0.16, P=0.58, I2=0%).
“There were no differences in effect in the candidate prebiotic (SMD: -0.06; 95% CI: -0.29, 0.16; P = 0.58, I 2 = 0%) and general fiber (SMD: 0.22; 95% CI: -0.31, 0.75; P = 0.42, I 2 = 74%) subgroups when compared with comparators.”
Quote in the paperSubstantial claim - Findingcitation
Raffinose and resistant starch interventions did not significantly change α-diversity compared with placebo in two studies not included in the meta-analysis.
“In 2 of the studies not included in the meta-analysis, raffinose and resistant starch interventions did not lead to significant difference in α-diversity compared with placebo (93,101).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [93] Fernando, 2010, Diets supplemented with chickpea or its main oligosaccharide component raffinose modify faecal microbial composition in healthy adults, Benef Microbes source
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- cites [101] Martínez, 2010, Resistant starches types 2 and 4 have differential effects on the composition of the fecal microbiota in human subjects, PLoS One source
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- Findingown data
No significant differences in SCFA concentrations when expressed per dry weight of feces.
“However, there were no significant differences when mean SCFA concentrations were expressed per dry weight of feces.”
Quote in the paperSubstantial claim - Findingown data
Dietary fiber interventions involving accepted prebiotic fibers led to higher abundance of Bifidobacterium and Lactobacillus spp.
“In regard to particular bacterial groups, this review demonstrated that dietary fiber interventions involving accepted prebiotic fibers led to higher abundance of Bifidobacterium and Lactobacillus spp.”
Quote in the paperSubstantial claim - Findingown data
No differences in effect on Bifidobacterium abundance with varying doses of fiber.
“Interestingly, there were no differences in the effect of dietary fiber interventions on Bifidobacterium spp.abundance with varying doses of fiber.”
Quote in the paperSubstantial claim - Findingown data
Food interventions had no effect on Bifidobacterium and Lactobacillus spp.
“Subgroup analysis separating the effects of food and supplement interventions showed food interventions had no effect on Bifidobacterium and Lactobacillus spp.”
Quote in the paperSubstantial claim - Findingreasoning
General fibers appear to have a limited effect on gut microbiota composition.
“General fibers appear to have a limited effect on gut microbiota composition.”
Quote in the paperSubstantial claim - Findingreasoning
General fibers did not affect the abundance of these taxa.
“Conversely, fibers not classified as accepted or candidate prebiotics, here termed general fibers, did not affect the abundance of these taxa.”
Quote in the paperSubstantial claim - Findingcitation
No effect of dietary fiber on other commonly measured bacterial groups (e.g., F. prausnitzii).
“There was no effect of dietary fiber interventions on abundance of other commonly measured bacterial groups (e.g., F. prausnitzii), suggesting that these species may be stimulated by dietary components other than fiber, such as polyols and polyphenols (125).”
Quote in the paperSubstantial claim - Interpretationreasoning
There is a gap in knowledge about the precise impact of dietary fiber intervention on gut microbiota in healthy subjects.
“Therefore, there is a gap in knowledge regarding the precise impact of dietary fiber intervention on the gut microbiota in healthy subjects, and this is the focus of this systematic review.”
Quote in the paperSubstantial claim - Interpretationown data
Study design is likely important, as subgroup analysis demonstrated different effects between crossover and parallel trials.
“Indeed, study design is likely important, as subgroup analysis demonstrated different effects between crossover and parallel trials.”
Quote in the paperSubstantial claim - Interpretationcitation
The null effect on α-diversity is similar to other dietary interventions documented in the literature.
“The lack of effect on α-diversity of the gut microbiota found in this review is similar to other dietary interventions documented in the literature.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites (35)(36)(37)
Not checked in the free run.
- Study design and conductown data
Attrition bias was adequately addressed by only 41% of included studies.
“Attrition bias was adequately addressed by only 41% (54-58, 62, 67, 69, 71, 74-76, 79, 82, 86-89, 92, 93, 98, 99, 105, 107, 108, 110) of the included studies.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Long-term dietary diversity may be a stronger driver of microbial diversity than short-term changes in isolated nutrients or foods.
“Taken together, long-term dietary diversity as opposed to changes in isolated nutrients or foods over a short period of time may be a stronger driver of microbial diversity.”
Quote in the paperSubstantial claim - Study design and conductown data
Risk of bias was low-to-moderate across the 64 included studies.
“The risk of bias was low-to-moderate across the 64 included studies (Supplemental Figure 1).”
Quote in the paperNot a substantial claim - Interpretationreasoning
Short-term dietary interventions are unlikely to facilitate changes in α-diversity of gut microbiota.
“These findings suggest that short-term dietary interventions are unlikely to facilitate changes in the α-diversity of the gut microbiota.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Baseline fiber intake was not accounted for due to paucity of reporting.
“Secondly, baseline fiber intake was not able to be accounted for due to the paucity of reporting by included studies.”
Quote in the paperNot a substantial claim - Interpretationreasoning
A short-term increase in fiber intake does not appear to be rate-limiting to these outcomes.
“Although the diversity of the gut microbiota, abundances of other commonly measured bacterial groups, and concentrations of other fecal SCFAs were not significantly different compared with controls after dietary fiber intervention, it is worth noting that a short-term increase in fiber intake does not appear to be rate-limiting to these outcomes.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Higher fecal butyrate after fiber intervention highlights ability of fiber to beneficially modulate metabolic outputs.
“The higher fecal concentration of butyrate after fiber intervention highlights the ability of dietary fiber to beneficially modulate the metabolic outputs of the gut microbiota.”
Quote in the paperSubstantial claim - Interpretationown data
<5 g of dietary fiber is sufficient to affect Bifidobacterium abundance.
“Dietary fiber intervention led to an effect at all levels of consumption in subgroup analysis (<5 g, 5-10 g, >10 g) with no discernible gradient in effectiveness, suggesting <5 g of dietary fiber is sufficient.”
Quote in the paperSubstantial claim
- May combine two claims. 35
- Classified as probably not a substantial claim. 15
May combine two claims.
Findingown dataIntervention doses ranged from 1.2 to 50 g/d, and treatment periods ranged from 5 days to 3 months, with a median of 3 weeks.
“Intervention doses ranged from 1.2 g/d to 50 g/d and treatment periods ranged from 5 d to 3 mo, with a median length of 3 wk.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOutcome data from 58 studies were suitable for meta-analysis, and 13 studies could not be pooled.
“Overall, outcome data from 58 studies were suitable for meta-analysis; results from the following studies were unable to be statistically pooled and are presented narratively under their respective subheadings (59, 62, 69, 77-79, 83, 93, 95, 97, 101, 113, 115).”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationA flaxseed mucilage trial showed a significant within-group reduction in α-diversity from baseline, but no between-group comparison was reported.
“A significant reduction in the αdiversity of fecal microbiota from baseline was detected in a trial involving flaxseed mucilage, measured by both the exponential of Shannon diversity index (-38,010; 95% CI: -64,473, -11,546; P = 0.007) as well as Simpson's inverse index (-17,515; 95% CI: -30,992, -4038; P = 0.014), although a between-group comparison was not reported (59).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59] Brahe, 2015, Dietary modulation of the gut microbiota – a randomised controlled trial in obese postmenopausal women, Br J Nutr source
Not checked in the free run.
May combine two claims.
Findingown dataFiber intervention led to significantly higher fecal concentrations of total SCFA, acetate, and butyrate compared with comparators when expressed per wet weight of feces.
“Fiber intervention led to significantly higher fecal concentrations of total SCFA, acetate, and butyrate compared with comparators when expressed per wet weight of feces.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDietary fiber had no effect on total SCFA concentration compared with placebo or low-fiber comparators (SMD 0.11, 95% CI -0.05 to 0.27, P=0.19), with similar effects across studies (I2=0%).
“Dietary fiber had no effect on total SCFA concentration compared with placebo/low-fiber comparators (SMD: 0.11; 95% CI: -0.05, 0.27; P = 0.19), with similar intervention effects across studies (I 2 = 0%).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHeterogeneity in the Lactobacillus meta-analysis was considerable (I2=80%) and was skewed by a single outlier study.
“However, heterogeneity was considerable (I 2 = 80%), and was skewed by results from a single outlier study (66) (4.70; 95% CI: 3.69, 5.70).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo differences in fecal propionate between fiber intervention and comparators (SMD -0.01, 95% CI -0.20 to 0.22, P=0.95), with moderate heterogeneity (I2=61%).
“No differences were found between fecal propionate and comparators (SMD: -0.01; 95% CI: -0.20, 0.22; P = 0.95), with moderate heterogeneity detected (I 2 = 61%).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAlpha-diversity was measured in 13 studies involving 393 participants.
“Alpha-diversity was measured in 13 studies involving 393 participants (49,59,64,72,75,77,79,80,83,88,93,97,101).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDietary fiber had no effect on Roseburia spp. abundance compared with placebo or low-fiber comparators (SMD 0.33, 95% CI -0.14 to 0.80, P=0.17), with substantial heterogeneity (I2=70%).
“Dietary fiber had no effect on Roseburia spp.abundance compared with placebo/low-fiber comparators (SMD: 0.33; 95% CI: -0.14, 0.80; P = 0.17) although substantial heterogeneity was detected (I 2 = 70%) (Figure 4).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenLactobacillus spp. abundance was measured in 28 studies involving 867 participants.
“Lactobacillus spp.abundance was measured in 28 studies involving 867 participants.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataOf the included studies, 29 were parallel RCTs and 35 were crossover RCTs.
“Of these 64 studies, 29 were parallel RCTs (52-80) and 35 were crossover RCTs .”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAfter excluding the outlier study, the effect on Lactobacillus abundance remained significant but smaller (SMD 0.22, 95% CI 0.03-0.41, P=0.02) with lower heterogeneity (I2=49%).
“A sensitivity analysis excluding this study produced a more homogeneous study population (I 2 = 49%), with a modest impact on the result (SMD: 0.22; 95% CI: 0.03, 0.41; P = 0.02) (Figure 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo difference in fecal acetate after fiber intervention compared with placebo or low-fiber comparators (SMD 0.28, 95% CI -0.08 to 0.63, P=0.13), with substantial heterogeneity (I2=86).
“There was no difference in fecal acetate after fiber intervention compared with placebo/low-fiber comparators (SMD: 0.28; 95% CI: -0.08, 0.63; P = 0.13), with substantial heterogeneity between studies (I 2 = 86).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo difference between dietary fiber and placebo or low-fiber comparators for F. prausnitzii abundance (SMD 0.14, 95% CI -0.12 to 0.39, P=0.29), with substantial heterogeneity (I2=68%).
“There was no difference between dietary fiber and placebo/low-fiber comparators for F. prausnitzii abundance (SMD: 0.14; 95% CI: -0.12, 0.39; P = 0.29), with substantial heterogeneity between studies (I 2 = 68%) (Figure 4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBifidobacterium spp. abundance was reported in 59 studies including 1896 participants, and 51 trials with 1629 participants provided data suitable for meta-analysis.
“A total of 59 studies including 1896 participants reported the effect of dietary fiber on Bifidobacterium spp.abundance and, of these, 51 trials (1629 participants) reported data in a form suitable for meta-analysis (53-58, 60, 61, 63-68, 70, 71, 73-76, 81, 82, 84-94, 96-112, 114).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDietary fiber did not affect E. rectale abundance compared with placebo or low-fiber comparators (SMD -0.26, 95% CI -1.20 to 0.67, P=0.58), with substantial heterogeneity (I2=75%).
“Dietary fiber did not affect E. rectale abundance compared with placebo/low-fiber comparators (SMD: -0.26; 95% CI: -1.20, 0.67; P = 0.58) and substantial heterogeneity was detected (I 2 = 75%) (Figure 4).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThis systematic review and meta-analysis found dietary fiber intervention had no effect on gut microbiota diversity but increased Bifidobacterium and Lactobacillus abundance and fecal butyrate concentration in healthy adults.
“This systematic review and meta-analysis found dietary fiber intervention had no effect on the diversity of the gut microbiota but did increase abundance of Bifidobacterium and Lactobacillus spp. as well as fecal butyrate concentration in healthy adults.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDietary fiber had no effect on R. bromii abundance compared with placebo or low-fiber comparators (SMD 0.15, 95% CI -0.15 to 0.45, P=0.33), with no heterogeneity (I2=0%).
“Dietary fiber had no effect on R. bromii abundance compared with placebo/low-fiber comparators (SMD: 0.15; 95% CI: -0.15, 0.45; P = 0.33), with no heterogeneity detected (I 2 = 0%) (Figure 4).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFecal butyrate was significantly higher after fiber intervention compared with placebo or low-fiber comparators (SMD 0.24, 95% CI 0.00 to 0.47, P=0.05), with considerable heterogeneity (I2=70%).
“Fecal butyrate was significantly higher after fiber intervention compared with placebo/low-fiber comparators (SMD: 0.24; 95% CI: 0.00, 0.47; P = 0.05), although considerable heterogeneity was present (I 2 = 70%).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe review included 64 primary studies with 2099 participants.
“The 64 included primary studies analyzed a total of 2099 participants.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationThe Chao1 index was used in two studies, and neither reported a significant difference in α-diversity between fiber intervention and placebo or low-fiber control.
“The Chao1 index was used to report α-diversity in 2 studies, although there were insufficient data available, precluding meta-analysis.Neither trial reported significant differences between fiber intervention and placebo or low-fiber control (49, 83).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [49] Hooda, 2012, 454 pyrosequencing reveals a shift in fecal microbiota of healthy adult men consuming polydextrose or soluble corn fiber, J Nutr source
Not checked in the free run.
- cites [83] Baer, 2014, The metabolizable energy of dietary resistant maltodextrin is variable and alters fecal microbiota composition in adult men, J Nutr source
Not checked in the free run.
May combine two claims.
Findingown dataDiversity, other bacterial groups, and other SCFAs were not significantly different compared with controls after fiber intervention.
“Although the diversity of the gut microbiota, abundances of other commonly measured bacterial groups, and concentrations of other fecal SCFAs were not significantly different compared with controls after dietary fiber intervention, it is worth noting that a short-term increase in fiber intake does not appear to be rate-limiting to these outcomes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDietary fiber intervention leads to higher abundance of fecal Bifidobacterium and Lactobacillus spp., and higher fecal butyrate concentration compared with placebo or low-fiber comparators.
“Dietary fiber intervention leads to a higher abundance of fecal Bifidobacterium and Lactobacillus spp., as well as higher fecal concentration of butyrate compared with placebo/low-fiber comparators.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningCandidate prebiotic interventions produced significant effects on Bifidobacterium but not Lactobacillus abundance.
“However, candidate prebiotic interventions produced different effects on the abundance of these 2 genera, with significant effects demonstrated for Bifidobacterium but not Lactobacillus spp.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningParallel design studies demonstrated stronger intervention effects and greater heterogeneity compared with crossover for several outcomes.
“There were differences in intervention effects based on trial design, with parallel design studies demonstrating stronger intervention effects and greater statistical heterogeneity compared with crossover design studies for several outcomes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAccepted prebiotic fibers had an effect on both Bifidobacterium and Lactobacillus, whereas candidate prebiotic fibers had an effect on Bifidobacterium but not Lactobacillus.
“Accepted prebiotic fibers had an effect on the abundances of both Bifidobacterium and Lactobacillus spp.whereas candidate prebiotic fibers had an effect on Bifidobacterium spp.abundance but not Lactobacillus spp.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBifidobacterium and Lactobacillus spp. are more abundant in healthy states than in disease states.
“Specific bacteria shown to be more abundant in health compared with disease states include Bifidobacterium and Lactobacillus spp.(2,7,14)”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [2] Marchesi, 2016, The gut microbiota and host health: a new clinical frontier, Gut source
Not checked in the free run.
- cites [7] Clemente, 2012, The impact of the gut microbiota on human health: an integrative view, Cell source
Not checked in the free run.
- cites [14] Tojo, 2014, Intestinal microbiota in health and disease: role of bifidobacteria in gut homeostasis, World J Gastroenterol source
Not checked in the free run.
May combine two claims.
PremisecitationFermentable dietary fibers act as substrates for colonic microbes, stimulating growth of specific organisms and producing metabolites including SCFAs.
“Fibers with fermentable characteristics are substrates for the microbial population in the colon, stimulating growth of specific organisms and leading to production of various metabolites including SCFA (19,29,31).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [19] Flint, 2017, The impact of nutrition on intestinal bacterial communities, Curr Opin Microbiol source
Not checked in the free run.
- cites [29] Holscher, 2017, Dietary fiber and prebiotics and the gastrointestinal microbiota, Gut Microbes source
Not checked in the free run.
- cites [31] Wong, 2006, Colonic health: fermentation and short chain fatty acids, J Clin Gastroenterol source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataTwo review authors screened articles in a blinded, standardized manner, resolving disagreements by consensus or a third reviewer.
“Two review authors (DS and HMS) screened articles in a blinded, standardized manner, with disagreements in judgment resolved by consensus or a third reviewer (KLC).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTwo reviewers independently extracted data from eligible studies.
“Two reviewers (DS and HMS) independently extracted the data from eligible studies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationFunnel plots were generated for outcomes with at least 10 studies, and reporting bias was assessed by funnel plot asymmetry.
“Funnel plots were generated for outcomes in which ≥10 studies were included in meta-analysis (48) and reporting bias was detected by assessment of funnel plot asymmetry by visual inspection.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] Sterne, 2008, Addressing reporting biases, Cochrane handbook for systematic reviews of interventions source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe review methods were prespecified and documented in a PROSPERO protocol (CRD42016053101).
“The methods including the eligibility criteria, search strategy, extraction process, and analysis were prespecified and documented in a protocol that was published in the PROSPERO as CRD42016053101: http://www.crd.york. ac.uk/PROSPERO/display_record.asp?ID=CRD42016053101.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome fibers are classified as prebiotic when they are selectively utilized by host microorganisms and confer a health benefit.
“Indeed, some fibers can be further classified as “prebiotic” (e.g., fructans) if they have been shown to be selectively utilized by host microorganisms conferring a health benefit (32).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Gibson, 2017, Expert consensus document: the International Scientific Association for Probiotics and Prebiotics (ISAPP) consensus statement on the definition and scope of prebiotics, Nat Rev Gastroenterol Hepatol source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationRisk of bias was independently assessed by two reviewers using Cochrane methodology.
“Risk of bias was independently assessed by 2 reviewers (DS and HMS) using Cochrane methodology (45).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Higgins, 2008, Assessing risk of bias in included studies, Cochrane handbook for systematic reviews of interventions source
Not checked in the free run.
May combine two claims.
Study design and conductown dataVisual inspection of funnel plots found no evidence of asymmetry, indicating reporting bias was unlikely.
“Visual inspection found no evidence of funnel plot asymmetry, indicating reporting bias was unlikely (Supplemental Figures 234567).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationControlled feeding studies lasting 4 d to 3 wk found no effect on microbial diversity despite significant changes in fiber intake.
“For instance, controlled feeding studies lasting 4 d to 3 wk found that despite significant changes to fiber intake, there was no effect on microbial diversity (35)(36)(37).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites (35)(36)(37)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe systematic review was conducted according to PRISMA and Cochrane Handbook guidelines.
“This systematic review was conducted in line with the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement (41), and the guidelines of the Cochrane Handbook for Systematic Reviews and Interventions (42).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [41] Moher, 2015, Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement, Systematic Reviews source
Not checked in the free run.
- cites [42] Higgins, 2011, Cochrane handbook for systematic reviews of interventions, Cochrane handbook for systematic reviews of interventions
Not checked in the free run.
May combine two claims.
Study design and conductown dataRandom sequence generation and allocation concealment were adequately described by 26% and 16% of studies, respectively.
“Random sequence generation and allocation concealment were adequately described by 26% (59-62, 70-72, 77, 79, 80, 84, 86, 94, 103, 113-115) and 16% (59,61,62,70,77,79,80,86,94,115) of studies, respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe totality of findings, including that microbial diversity was not compromised, support favorable effects of dietary fiber on gut microbiota.
“Therefore, the totality of findings here, including that microbial diversity was not compromised, support the favorable effects of dietary fiber on the gut microbiota.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningThese results further support favorable effects of dietary fiber and contribute to understanding its effect on gut microbiota.
“These results further support the favorable effects of dietary fiber and contribute to our understanding of its effect on the gut microbiota.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThis is the first systematic review and meta-analysis to assess the effect of dietary fiber intervention on gut microbiota composition.
“This study is the first systematic review and meta-analysis to assess the effect of dietary fiber intervention on gut microbiota composition.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataLimited number of studies reporting α-diversity and small proportion using same diversity indexes.
“Firstly, there were only a limited number of studies reporting the primary outcome of α-diversity, and a small proportion presenting data via the same diversity indexes.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationFeces are a surrogate for gut microbiota, and fecal composition differs from mucosal microbiota.
“Furthermore, included studies sampled feces as a surrogate for gut microbiota profile, and although feces are a common sampling route, the microbial composition of feces differs from the mucosal microbiota (10,11), which is in closer contact with the host and may be more important when considering the relation between microbiota and disease pathophysiology or outcomes.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10] Fraher, 2012, Techniques used to characterize the gut microbiota: a guide for the clinician, Nat Rev Gastroenterol Hepatol source
Not checked in the free run.
- cites [11] Zoetendal, 2002, Mucosa-associated bacteria in the human gastrointestinal tract are uniformly distributed along the colon and differ from the community recovered from feces, Appl Environ Microbiol source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningLimited number of taxa assessed may not convey overall effect.
“Finally, the limited number of taxa assessed in the review may not convey the overall effect elicited by dietary fiber intervention on gut microbiota composition and metabolic outputs, although the selection of taxa was guided by the available literature.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenMajor strengths include robust design, comprehensive search, and use of 2 independent reviewers.
“Major strengths of this study include its robust design, comprehensive search strategies, and the use of 2 independent reviewers.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Dietary fiber is not digested by the host in the small intestine and reaches the colon where it is available to gut microbes.
“It is a key candidate in facilitating changes in the gut microbiota, as it escapes digestion by the host in the small intestine to pass into the colon where it is available to the microbial community.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Many response-associated bacteria in the cohort have known roles in starch degradation and fiber fermentation.
“Given that many of the response-associated bacteria identified in our cohort have known roles in starch degradation and fiber fermentation (25–29)”
From Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response (2021) · cites this paper as [28]
Fiber supplementation enriched Bifidobacterium and Lactobacillus spp., with no effect on other common short-chain fatty acid producers except increases in Roseburia spp. and Faecalibacterium prausnitzii in parallel rather than crossover trials.
“Fiber supplementation was found to enrich Bifidobacterium and Lactobacillus spp., whereas no effect was found on the other common SCFA producers except for increases in Roseburia spp. and F prausnitzii in parallel (rather than crossover) trials.”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [128]
Fiber supplementation increased the concentration of butyrate in fecal samples.
“Fiber supplementation increased the concentration of butyrate in fecal samples.128”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [128]
A 2018 systematic review and meta-analysis of 64 studies found that dietary fibre interventions, particularly fructans and galactooligosaccharides (GOS), increase faecal abundance of Bifidobacterium and Lactobacillus species but did not affect alpha-diversity.
“A 2018 systematic review and meta-analysis observed the effect of fibre on the gut microbiota from 64 studies. Dietary fibre interventions, particularly fructans and galactooligosaccharides (GOS), were found to increase faecal abundance of Bifidobacterium and Lactobacillus species but did not affect alpha-diversity [37].”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [37]
Prebiotic consumption has been associated with growth of Bifidobacterium, Lactobacillus and lactic acid bacteria; conversely, fibres not classified as prebiotics do not appear to affect the abundance of Bifidobacterium or Lactobacillus.
“Prebiotic consumption has been associated with growth of Bifidobacterium, Lactobacillus and lactic acid bacteria. Conversely, fibres not classified as prebiotics, do not appear to affect the abundance of Bifidobacterium or Lactobacillus [37].”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [37]
Soluble, fermentable fiber can increase microbial enzymatic capacity to degrade complex carbohydrates and produce health-promoting SCFAs, namely acetate, propionate, and butyrate.
“Soluble, fermentable fiber can increase microbial enzymatic capacity to degrade complex carbohydrates and produce health-promoting SCFAs, namely acetate, propionate, and butyrate (114, 118).”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [114]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
E. hallii study count conflicts with the cited trials
MinorThe paper says two studies measured E. hallii, but its account cites results from three distinct trials: reference 50 is a secondary report of trial 95, reference 62 is a separate trial, and reference 49 is a secondary report of trial 84.
“Two studies of 32 participants measured E. hallii abundance.”
“One study reported no within-group difference in E. hallii abundance (50,62), the other reported a significant decrease in E. hallii abundance compared with placebo (49).”
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Dietary fibre in gastrointestinal health and disease
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Self-citationDietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response
Spencer, C. N., McQuade, J. L., Gopalakrishnan, V., McCulloch, J. A., Vetizou, M., Cogdill, A. P., Khan, M. A. W., Zhang, X., White, M. G., Peterson, C. B., et al. (2021) · Science · doi:10.1126/science.aaz7015 · Cited by 966 · see citing works
Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration
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“Dietary fibre interventions, particularly fructans and galactooligosaccharides (GOS), were found to increase faecal abundance of Bifidobacterium and Lactobacillus species but did not affect alpha-diversity [37].”
BackgroundInfluentialInfluence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer
Song, M., Chan, A. T., & Sun, J. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.06.048 · Cited by 752 · see citing works
Gut Microbiota as a Trigger for Metabolic Inflammation in Obesity and Type 2 Diabetes
Scheithauer, T. P. M., Rampanelli, E., Nieuwdorp, M., Vallance, B. A., Verchere, C. B., van Raalte, D. H., & Herrema, H. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.571731 · Cited by 694 · see citing works
Effect of Diet and Dietary Components on the Composition of the Gut Microbiota
Beam, A., Clinger, E., & Hao, L. (2021) · Nutrients · doi:10.3390/nu13082795 · Cited by 576 · see citing works
“, but does not change the α-diversity [47].”
BackgroundDeehan, E. C., Yang, C., Pérez-Muñoz, M. E., Nguyen, N. K., Cheng, C. C., Triador, L., Zhang, Z., Bakal, J. A., & Walter, J. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.01.006 · Cited by 549 · see citing works
Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health
Berding, K., Vlckova, K., Marx, W., Schellekens, H., Stanton, C., Clarke, G., Jacka, F., Dinan, T. G., & Cryan, J. F. (2021) · Advances in Nutrition · doi:10.1093/advances/nmaa181 · Cited by 451 · see citing works
Gut firmicutes: Relationship with dietary fiber and role in host homeostasis
Sun, Y., Zhang, S., Nie, Q., He, H., Tan, H., Geng, F., Ji, H., Hu, J., & Nie, S. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2098249 · Cited by 407 · see citing works
“Considering the potential health effects of gut Firmicutes, especially Faecalibacterium and Lactobacillus , a growing number of studies have explored the probiotic effects of strains through animal models or clinical trials (Huang and Liu 2019; Cronin et al. 2021; So et al. 2018).”
BackgroundYou Are What You Eat—The Relationship between Diet, Microbiota, and Metabolic Disorders—A Review
Moszak, M., Szulińska, M., & Bogdański, P. (2020) · Nutrients · doi:10.3390/nu12041096 · Cited by 397 · see citing works
“[39] showed that dietary fiber intervention resulted in a higher abundance of Bifidobacterium spp.”
BackgroundRETRACTED ARTICLE: Role of the gut microbiome in chronic diseases: a narrative review
Vijay, A., & Valdes, A. M. (2022) · European Journal of Clinical Nutrition · doi:10.1038/s41430-021-00991-6 · Cited by 361 · see citing works
RetractedEnvironmental Factors, Gut Microbiota, and Colorectal Cancer Prevention
Song, M., & Chan, A. T. (2019) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2018.07.012 · Cited by 355 · see citing works
The Safe and Effective Use of Plant-Based Diets with Guidelines for Health Professionals
Craig, W. J., Mangels, A. R., Fresán, U., Marsh, K. A., Miles, F. L., Saunders, A. V., Haddad, E. H., Heskey, C. E., JOHNSTON, P. K., Larson‐Meyer, E., et al. (2021) · Nutrients · doi:10.3390/nu13114144 · Cited by 342 · see citing works
Cancer pharmacomicrobiomics: targeting microbiota to optimise cancer therapy outcomes
Ting, N. L.-N., Lau, H. C.-H., & Yu, J. Q. (2022) · Gut · doi:10.1136/gutjnl-2021-326264 · Cited by 284 · see citing works
“74 on O c t o be r 27 , 2023 b y gue s t.”
Dietary Fiber, Gut Microbiota, and Metabolic Regulation—Current Status in Human Randomized Trials
Myhrstad, M. C. W., Tunsjø, H. S., Charnock, C., & Telle‐Hansen, V. H. (2020) · Nutrients · doi:10.3390/nu12030859 · Cited by 280 · see citing works
The Protective Role of Butyrate against Obesity and Obesity-Related Diseases
Coppola, S., Avagliano, C., Calignano, A., & Canani, R. B. (2021) · Molecules · doi:10.3390/molecules26030682 · Cited by 267 · see citing works
“While, non-digestible CHO, specifically fiber and RS are beneficial for GM composition; in particular, fiber is a good source of MACs, necessary substrate for butyrate production as reported above, moreover a recent systematic review and meta-analysis found that dietary fiber beneficially modulates the metabolic outpu…”
ResultCrosstalk between Gut Microbiota and Host Immunity: Impact on Inflammation and Immunotherapy
Campbell, C., Kandalgaonkar, M. R., Golonka, R. M., Yeoh, B. S., Vijay–Kumar, M., & Saha, P. (2023) · Biomedicines · doi:10.3390/biomedicines11020294 · Cited by 256 · see citing works
Obesity and gut–microbiota–brain axis: A narrative review
Asadi, A., Mehr, N. S., Mohamadi, M. H., Shokri, F., Heidary, M., Sadeghifard, N., & Khoshnood, S. (2022) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.24420 · Cited by 254 · see citing works
Leveraging diet to engineer the gut microbiome
Wolter, M., Grant, E. T., Boudaud, M., Steimle, A., Pereira, G. V., Martens, E. C., & Desai, M. S. (2021) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-021-00512-7 · Cited by 211 · see citing works
Intestinal microbiome and fitness in kidney disease
Meijers, B. K. I., Evenepoel, P., & Anders, H. (2019) · Nature Reviews Nephrology · doi:10.1038/s41581-019-0172-1 · Cited by 223 · see citing works
Neuroactive compounds in foods: Occurrence, mechanism and potential health effects
Yılmaz, C., & Gökmen, V. (2019) · Food Research International · doi:10.1016/j.foodres.2019.108744 · Cited by 216 · see citing works
Park, J. C., & Im, S. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-020-0473-2 · Cited by 217 · see citing works
Helmy, Y. A., Taha-Abdelaziz, K., Hawwas, H. A. E.-H., Ghosh, S. B., Alkafaas, S. S., Moawad, M. M. M., Saied, E. M., Kassem, I. I., & Mawad, A. M. M. (2023) · Antibiotics · doi:10.3390/antibiotics12020274 · Cited by 235 · see citing works
“resulting in an increase in the concentration of fecal short-chain fatty acids (SCFAs) in healthy adults [256].”
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Palmnäs, M. S. A., Costabile, G., Vetrani, C., Åberg, S., Hjalmarsson, Y., Dicksved, J., Riccardi, G., & Landberg, R. (2022) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac217 · Cited by 192 · see citing works
“At present, we recognize that specific dietary components, such as certain dietary fibers, can increase the abundance of specific gut bacteria (7, 8) or result in differential health responses determined by specific bacteria (9).”
BackgroundShort Chain Fatty Acid Metabolism in Relation to Gut Microbiota and Genetic Variability
Meyers, G. R., Samouda, H., & Bohn, T. (2022) · Nutrients · doi:10.3390/nu14245361 · Cited by 193 · see citing works
Review article: dietary fibre in the era of microbiome science
O’Grady, J., O’Connor, E. M., & Shanahan, F. (2019) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.15129 · Cited by 173 · see citing works
“healthy adults, fibre intervention, particularly with fructans and galacto‐oligosaccharide, leads to increased abundance of both Bifidobacterium and Lactobacillus species.(62) In contrast, elderly western populations have reduced gut micro-”
BackgroundDahiya, D., & Nigam, P. S. N. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24043074 · Cited by 193 · see citing works
Microbiota and Lifestyle: A Special Focus on Diet
Redondo-Useros, N., Nova, E., González-Zancada, N., Díaz, L. E., Gómez-Martínez, S., & Marcos, A. (2020) · Nutrients · doi:10.3390/nu12061776 · Cited by 189 · see citing works
Dietary fiber and its associations with depression and inflammation
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Diet, nutrients and the microbiome
Dahl, W. J., Rivero‐Mendoza, D., & Lambert, J. M. (2020) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2020.04.006 · Cited by 172 · see citing works
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“fibers into short-chain fatty acids (SCFAs) (14).”
Dietary fiber intake, the gut microbiome, and chronic systemic inflammation in a cohort of adult men
Ma, W., Nguyen, L. H., Song, M., Wang, D. D., Franzosa, E. A., Cao, Y., Joshi, A. D., Drew, D. A., Mehta, R. S., Ivey, K. L., et al. (2021) · Genome Medicine · doi:10.1186/s13073-021-00921-y · Cited by 178 · see citing works
“In healthy individuals, dietary fiber interventions, particularly involving fructans and galacto-oligosaccharides that are highly fermentable, results in enriched abundance of Bifidobacteria and increased fecal concentrations of beneficial SCFAs, such as butyrate [9, 18].”
BackgroundOliver, A., Chase, A. B., Weihe, C., Orchanian, S. B., Riedel, S. F., Hendrickson, C. L., Lay, M., Sewall, J. M., Martiny, J. B. H., & Whiteson, K. (2021) · mSystems · doi:10.1128/msystems.00115-21 · Cited by 171 · see citing works
“common observation in fiber intervention studies (30) is the specific involvement of TABLE 1 Abundances of four SCFAs in samples pre- and postintervention”
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Gut Microbiota in Colorectal Cancer: Biological Role and Therapeutic Opportunities
Pandey, H., Tang, D. W. T., Wong, S. H., & Lal, D. (2023) · Cancers · doi:10.3390/cancers15030866 · Cited by 165 · see citing works
Emerging prospects of macro- and microalgae as prebiotic
Patel, A. K., Singhania, R. R., Awasthi, M. K., Varjani, S., Bhatia, S. K., Tsai, M.-L., Hsieh, S.-L., Chen, C.-W., & Dong, C.-D. (2021) · Microbial Cell Factories · doi:10.1186/s12934-021-01601-7 · Cited by 156 · see citing works
“By observation, approved prebiotics mainly augment the count of Bifidobacteria in the human GIT [58].”
BackgroundJefferson, A., & Adolphus, K. (2019) · Frontiers in Nutrition · doi:10.3389/fnut.2019.00033 · Cited by 149 · see citing works
van Deuren, T., Blaak, E. E., & Canfora, E. E. (2022) · Obesity Reviews · doi:10.1111/obr.13498 · Cited by 162 · see citing works
Gut microbiota remodeling: A promising therapeutic strategy to confront hyperuricemia and gout
Wang, Z., Li, Y., Liao, W., Huang, J., Liu, Y., Li, Z., & Tang, J. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.935723 · Cited by 149 · see citing works
Wilson, B., Rossi, M., Dimidi, E., & Whelan, K. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy376 · Cited by 147 · see citing works
“Extensive studies have demonstrated the capacity of prebiotics to specifically enhance the growth of bifidobacteria in healthy adults (18).”
BackgroundSelf-citationThe Role of Diet and Gut Microbiota in Regulating Gastrointestinal and Inflammatory Disease
Gill, P. A., Inniss, S., Kumagai, T., Rahman, F. Z., & Smith, A. M. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.866059 · Cited by 149 · see citing works
Intestinal Microbiota as a Contributor to Chronic Inflammation and Its Potential Modifications
Potrykus, M., Czaja-Stolc, S., Stankiewicz, M., Kaska, Ł., & Małgorzewicz, S. (2021) · Nutrients · doi:10.3390/nu13113839 · Cited by 146 · see citing works
“was noticed on the basis of 28 studies involving approximately 850 people [71].”
BackgroundMicrobiota‐dependent and ‐independent effects of dietary fibre on human health
Cai, Y., Folkerts, J., Folkerts, G., Maurer, M., & Braber, S. (2019) · British Journal of Pharmacology · doi:10.1111/bph.14871 · Cited by 140 · see citing works
Bacteriophage-mediated manipulation of the gut microbiome – promises and presents limitations
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Pascale, N., Gu, F., Larsen, N., Jespersen, L., & Respondek, F. (2022) · Nutrients · doi:10.3390/nu14173629 · Cited by 135 · see citing works
“Until now, human clinical studies that have studied the effect of the dietary supplementation of pectin on gut microbiota composition are still scarce [15,16].”
BackgroundThe pleiotropic effects of prebiotic galacto-oligosaccharides on the aging gut
Arnold, J. W., Roach, J. M., Fabela, S., Moorfield, E., Ding, S., Blue, E., Dagher, S. F., Magness, S. T., Tamayo, R., Bruno-Bárcena, J. M., et al. (2021) · Microbiome · doi:10.1186/s40168-020-00980-0 · Cited by 135 · see citing works
Gut microbiota and old age: Modulating factors and interventions for healthy longevity
Coman, V., & Vodnar, D. C. (2020) · Experimental Gerontology · doi:10.1016/j.exger.2020.111095 · Cited by 124 · see citing works
“The bifidogenic effect seems to be very common in prebiotic interventions in adults, as shown by a recent meta-analysis of 64 RCTs (So et al., 2018).”
InfluentialShort-chain fatty acids and insulin sensitivity: a systematic review and meta-analysis
Pham, N. H. T., Joglekar, M. V., Wong, W. K. M., Nassif, N. T., Simpson, A. M., & Hardikar, A. A. (2023) · Nutrition Reviews · doi:10.1093/nutrit/nuad042 · Cited by 140 · see citing works
“26,27 Relevant previous meta-analyses (see Table S1 in the Supporting Information online) report effects on insulin and glucose concentrations after consumption of specific diets such as those high in fiber, resistant starch or whole grains, or synbiotics and probiotics.”
BackgroundDeciphering diet-gut microbiota-host interplay: Investigations of pectin
Tan, H., & Nie, S. (2020) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2020.10.010 · Cited by 119 · see citing works
Mazhar, M., Zhu, Y., & Qin, L. (2023) · Foods · doi:10.3390/foods12051023 · Cited by 119 · see citing works
“Meta-analysis showed that the consumption of galacto-oligosaccharides and fructans may enhance the biodiversity of Lactobacillus and Bifidobacterium species in the gut [30].”
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Dietary Strategies for Management of Metabolic Syndrome: Role of Gut Microbiota Metabolites
Croci, S., D'Apolito, L. I., Gasperi, V., Catani, M. V., & Savini, I. (2021) · Nutrients · doi:10.3390/nu13051389 · Cited by 108 · see citing works
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Self-citationHuang, Y., Wang, Z., Ye, B., Hongjie, J., Ji, S., Sheng, W., Ye, S., Ou, Y., Peng, Y., Xu, Y., et al. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04259-4 · Cited by 109 · see citing works
“For example, dietary butyrate glycerides and fiber intervention, particularly involving fructans and galactooligosaccharides, had no effect on microbial α-diversity but altered its composition [26, 27].”
BackgroundFrom Gut Microbiota through Low-Grade Inflammation to Obesity: Key Players and Potential Targets
Vetrani, C., Nisio, A. D., Paschou, S. Α., Barrea, L., Muscogiuri, G., Graziadio, C., Savastano, S., & Colao, A. (2022) · Nutrients · doi:10.3390/nu14102103 · Cited by 105 · see citing works
“, β-glucan and arabinoxylans from whole-grain, pectins from fruit, vegetables, and legumes, and resistant starch) have been shown to increase the abundance of butyrate-producing bacteria, which may positively influence the inflammatory status of the host [66,67].”
BackgroundMueller, N. T., Zhang, M., Juraschek, S. P., Miller, E. R., & Appel, L. J. (2019) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqz322 · Cited by 94 · see citing works
“A metaanalysis of trials found that dietary fiber increases fecal butyrate, more so than acetate and propionate (8).”
BackgroundYang, X. P., Dai, J., Zhong, Y., Wei, X., Wu, M., Zhang, Y., Huang, A., Wang, L., Huang, Y., Zhang, C., et al. (2021) · Food & Function · doi:10.1039/d1fo00521a · Cited by 101 · see citing works
Going with the grain: Fiber, cognition, and the microbiota-gut-brain-axis
Berding, K., Carbia, C., & Cryan, J. F. (2021) · Experimental Biology and Medicine · doi:10.1177/1535370221995785 · Cited by 100 · see citing works
“Typically, a diet high in fiber has been associated with a “healthy” microbiota, such as increased microbial diversity,(48) although results can be inconsistent.(49) Furthermore, several studies have demonstrated a bloom in Berding et al.”
BackgroundThe gut microbiome and dietary fibres: implications in obesity, cardiometabolic diseases and cancer
Delzenne, N. M., Bindels, L. B., Neyrinck, A. M., & Walter, J. (2024) · Nature Reviews Microbiology · doi:10.1038/s41579-024-01108-z · Cited by 105 · see citing works
“Several studies reveal inverse associations between α-diversity and disease states 16 .”
Olvera-Rosales, L. B., Cruz-Guerrero, A. E., Ramírez‐Moreno, E., Lira, A. Q., Contreras‐López, E., Ordaz, J. J., Ovando, A. C., Añorve‐Morga, J., Calderón‐Ramos, Z. G., Arias‐Rico, J., et al. (2021) · Foods · doi:10.3390/foods10061261 · Cited by 101 · see citing works
Structure and function of non-digestible carbohydrates in the gut microbiome
Rastall, R. A., Díez‐Municio, M., Forssten, S. D., Hamaker, B. R., Meynier, A., Moreno, F. J., Respondek, F., Stahl, B., Venema, K., & Wiese, M. (2022) · Beneficial Microbes · doi:10.3920/bm2021.0090 · Cited by 99 · see citing works
How important are fatty acids in human health and can they be used in treating diseases?
Dicks, L. M. T. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2420765 · Cited by 97 · see citing works
The gut microbiome: linking dietary fiber to inflammatory diseases
Zhang, F., Fan, D., Huang, J., & Zuo, T. (2022) · Medicine in Microecology · doi:10.1016/j.medmic.2022.100070 · Cited by 102 · see citing works
Harnessing machine learning for development of microbiome therapeutics
McCoubrey, L. E., Elbadawi, M., Orlu, M., Gaisford, S., & Basit, A. W. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1872323 · Cited by 94 · see citing works
Impact of diet on gut microbiota
Ramos, S., & Martín, M. Á. (2020) · Current Opinion in Food Science · doi:10.1016/j.cofs.2020.09.006 · Cited by 96 · see citing works
Diet as a Modulator of Intestinal Microbiota in Rheumatoid Arthritis
Dourado, E., Ferro, M., Guerreiro, C. S., & Fonseca, J. E. (2020) · Nutrients · doi:10.3390/nu12113504 · Cited by 94 · see citing works
“These fibres stimulate the growth of some microbes, having a prebiotic-like function [43,112], and modulating the gut microbiota composition [95].”
BackgroundThe Role of the FODMAP Diet in IBS
Bertin, L., Zanconato, M., Crepaldi, M., Marasco, G., Cremon, C., Barbara, G., Barberio, B., Zingone, F., & Savarino, E. V. (2024) · Nutrients · doi:10.3390/nu16030370 · Cited by 95 · see citing works
“In fact, selective stimulation of Bifidobacteria growth has been observed with fructan supplementation, at least in healthy individuals [74].”
BackgroundGut microbiota, nutrition, and mental health
Merlo, G., Bachtel, G., & Sugden, S. G. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1337889 · Cited by 104 · see citing works
High animal protein diet and gut microbiota in human health
Cai, J., Chen, Z., Wu, W., Lin, Q., & Liang, Y. (2021) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2021.1898336 · Cited by 91 · see citing works
Dou, Y., Yu, X., Luo, Y., Chen, B., Ma, D., & Zhu, J. (2022) · Nutrients · doi:10.3390/nu14163298 · Cited by 99 · see citing works
“types of dietary fiber have been found to alter bacterial populations and metabolism in the gut microbiota in response to diet [12].”
BackgroundPartula, V., Mondot, S., Torres, M. J., Kesse-Guyot, E., Deschasaux, M., Assmann, K., Latino-Martel, P., Buscail, C., Julia, C., Galan, P., et al. (2019) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqz029 · Cited by 100 · see citing works
Gut Microbiota-Targeted Diets Modulate Human Immune Status
(2020) · doi:10.1101/2020.09.30.321448 · Cited by 1,385 · see citing works
Prebiotics – an added benefit of some fibre types
Lockyer, S., & Stanner, S. A. (2019) · Nutrition Bulletin · doi:10.1111/nbu.12366 · Cited by 84 · see citing works
“Currently accepted prebiotics increase bifidobacteria in the human gut (SACN 2015; So et al. 2018).”
BackgroundInfluentialThe Role of the Gut Microbiota in the Gut–Brain Axis in Obesity: Mechanisms and Future Implications
van Son, J., Koekkoek, L. L., la Fleur, S. E., Serlie, M. J. M., & Nieuwdorp, M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22062993 · Cited by 82 · see citing works
“, but did not affect SCFA concentrations [180].”
BackgroundYu, D., Shu, X., Rivera, E. S., Zhang, X., Cai, Q., Calcutt, M. W., Xiang, Y., Li, H., Gao, Y., Wang, T. J., et al. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.118.010606 · Cited by 79 · see citing works
“Dietaryfiber is a key factor in maintaining a healthy microbial community and influencing its metabolic activities.(57,58) Studies have shown that soluble fiber, especially fermented soluble fiber, reduced TMAO production in mice fed with red meat,(59) and vegans and vegetarians (presumably having high fiber intakes)…”
BackgroundSwanson, K. S., de Vos, W. M., Martens, E. C., Gilbert, J. A., Menon, R. S., Soto‐Vaca, A., Hautvast, J., Meyer, P., Borewicz, K., Vaughan, E. E., et al. (2020) · Beneficial Microbes · doi:10.3920/bm2019.0082 · Cited by 78 · see citing works
“…in line with the outcome of a recent systematic review whereby the subgroup analyses of common prebiotics like inulin and GOS versus other dietary fibres, showed that the common prebiotics led to significantly greater relative abundance of Bifidobacterium and Lactobacillus spp. (So et al., 2018).”
ResultWood-Derived Dietary Fibers Promote Beneficial Human Gut Microbiota
Rosa, S. L. L., Kachrimanidou, V., Buffetto, F., Pope, P. B., Pudlo, N. A., Martens, E. C., Rastall, R. A., Gibson, G. R., & Westereng, B. (2019) · mSphere · doi:10.1128/msphere.00554-18 · Cited by 76 · see citing works
Iversen, K., Dicksved, J., Zoki, C., Fristedt, R., Pelve, E. A., Langton, M., & Landberg, R. (2022) · Nutrients · doi:10.3390/nu14081669 · Cited by 76 · see citing works
“Although our study was large compared to other studies investigating the effects of cereals and dietary fiber on gut microbiota and, therefore, it is likely that even small differences in gut microbiota could be detected [17,18], there is a need for studies designed specifically to investigate the role of the gut micr…”
ResultYu, D., Nguyen, S. M., Yang, Y., Xu, W., Cai, H., Wu, J., Cai, Q., Long, J., Zheng, W., & Shu, X. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa350 · Cited by 76 · see citing works
“In a recent meta-analysis of 64 randomized trials involving over 2000 participants, Bifidobacterium species were the most significantly and consistently increased taxa after dietary fiber intervention (42).”
BackgroundPuhlmann, M.-L., & de Vos, W. M. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.954845 · Cited by 79 · see citing works
A biological framework for emotional dysregulation in alcohol misuse: from gut to brain
Carbia, C., Lannoy, S., Maurage, P., López‐Caneda, E., O’Riordan, K. J., Dinan, T. G., & Cryan, J. F. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-00970-6 · Cited by 80 · see citing works
Del Bo’, C., Perna, S., Allehdan, S., Rafique, A., Saad, S., AlGhareeb, F., Rondanelli, M., Tayyem, R. F., Marino, M., Martini, D., et al. (2023) · Nutrients · doi:10.3390/nu15102250 · Cited by 80 · see citing works
So, D., Loughman, A., & Staudacher, H. M. (2022) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac176 · Cited by 85 · see citing works
“As part of a low FODMAP diet, consumption of these short-chain fibers is specifically restricted, whereas fructan supplementation, at least in healthy individuals, appears to selectively stimulate growth of Bifidobacteria (30).”
BackgroundSelf-citationInteraction between dietary fiber and bifidobacteria in promoting intestinal health
Wang, H., Huang, X., Tan, H., Chen, X., Chen, C., & Nie, S. (2022) · Food Chemistry · doi:10.1016/j.foodchem.2022.133407 · Cited by 73 · see citing works
Creedon, A. C., Hung, E. S., Berry, S. E., & Whelan, K. (2020) · Nutrients · doi:10.3390/nu12082347 · Cited by 75 · see citing works
Self-citationvan Zonneveld, S. M., van den Oever, E. J., Haarman, B. C. M., Grandjean, E. L., Nuninga, J. O., van de Rest, O., & Sommer, I. E. (2024) · Nutrients · doi:10.3390/nu16162646 · Cited by 81 · see citing works
“Dietary fibers promote intestinal health by modifying the gut microbial profile, producing SCFAs, increasing bowel movement frequency and relieving constipation, in addition to their anti-inflammatory properties [69–72].”
BackgroundHillman, E. T., Kozik, A. J., Hooker, C. A., Burnett, J. L., Heo, Y., Kiesel, V. A., Nevins, C. J., Oshiro, J., Robins, M. M., Thakkar, R., et al. (2020) · Microbial Genomics · doi:10.1099/mgen.0.000399 · Cited by 70 · see citing works
So, D., Gibson, P. R., Muir, J. G., & Yao, C. K. (2021) · Gut · doi:10.1136/gutjnl-2021-324891 · Cited by 72 · see citing works
Self-citationFreijy, T. M., Cribb, L., Oliver, G., Metri, N., Opie, R., Jacka, F. N., Hawrelak, J. A., Rucklidge, J. J., Ng, C. H., & Sarris, J. J. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1097278 · Cited by 81 · see citing works
“During the trial, participants’ substantially higher prebiotic consumption may have stimulated the proliferation of beneficial gut bacteria such as lactobacilli, bifidobacteria, and butyrate-producing species (So et al., 2018), potentially facilitating protective downstream effects on mental health.”
BackgroundSoldán, M., Argalášová, Ľ., Hadvinová, L., Galileo, B., & Babjaková, J. (2024) · Nutrients · doi:10.3390/nu16183134 · Cited by 82 · see citing works
“While they did not identify any changes in alpha diversity, they did observe an increase in Bifidobacterium and Lactobacillus [115].”
Background
- Authors
- So, D., Whelan, K., Rossi, M., Morrison, M., Holtmann, G., Kelly, J. T., Shanahan, E. R., Staudacher, H. M., & Campbell, K. L.
- Affiliations
- Bond University (AU)
- King's College London (GB)
- Translational Research Institute (AU)
- The University of Queensland (AU)
- Corresponding author
- Campbell, Katrina L
- ORCID
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 107
- Issue
- 6
- Pages
- 965-983
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2790004059
- Cited by
- 683
- References
- 132
- Citations by year
- 2026: 61 · 2025: 92 · 2024: 88 · 2023: 98 · 2022: 100 · 2021: 114 · 2020: 75 · 2019: 43 · 2018: 12
- FWCI
- 5.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Bond University Research Portal (Bond University) (submittedVersion, other-oa)
- Own your potential (DEAKIN) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Griffith Research Online (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Nursing › Nutrition and Dietetics › Microbial Metabolites in Food Biotechnology
- Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
- Keywords
- dietary fiber, gut microbiota composition, Bifidobacterium, Lactobacillus, short-chain fatty acids, butyrate, fructans, galactooligosaccharides, alpha diversity, healthy adults, dietary intervention, prebiotics, gut dysbiosis, chronic disease risk factors, fecal microbiota, bacterial abundance
- MeSH terms
- Gastrointestinal Microbiome, Adult, Bacteria, Dietary Fiber, Food Analysis, Humans
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