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. 2022 Dec 18;10(12):2507. doi: 10.3390/microorganisms10122507

Table 3.

Modulation of dietary fiber on gut microbiota and metabolic outcomes in patients with type 2 diabetes.

Author
Year
Region
Subjects F:M a
Mean Age (years)
RCT
Design
Fiber Type or Sources Amount of
Fiber (g/day)
Duration of
Intervention
Change in Gut Microbiota b Metabolic Effects b Microbiome and metabolic Indicators
Pedersen, C. [129]
(2016)
UK
29 well-controlled men All men
around 57
Double-blind galacto-oligosaccharide (GOS) 5.5 (n = 14)
placebo (n = 15)
12 weeks ↑: α-diversity (Shannon and Simpson indices)
↑: Bifidobacterium (close to significance)
No significant effect on glucose, insulin, or C-peptide fasting concentrations Bifidobacterium positively correlated with total AUC of glucose and IL-6
Gonai, M. [130]
(2017)
Japan
52 patients --
50 ± 10
Double-blind galacto-oligosaccharide (GOS) 10 (n = 27)
placebo (n = 25)
4 weeks ↓: α-diversity (Observed OTUs)
↑: Bifidobacteriaceae
↓: Lachnospiraceae, Ruminococcaceae, Peptostreptococcaceae, Erysipelotrichaceae, Porphyromonadaceae
No clinical parameters changed significantly Negative correlations of A1c with Bifidobacteriaceae and Peptostreptococcaceae; FPG with Peptostreptococcaceae; TG with Uminococcaceae; positive correlations of AST and ALT with Lachnospiraceae
Zhao, L. [65]
(2018)
China
43 patients --
35–70
Open-label fiber in diet high-fiber diet (n = 27)
usual care (n = 16)
84 days ↕: β-diversity (Bray-Curtis)
↑: Bifidobacterium spp. and other SCFA producers
↑: CAZyme-encoding genes for starch and inulin degradation
↑: fhs for acetate and but for butyrate formation pathway
↑: acetate and butyrate
↓: A1c
↑: Postprandial insulin
Higher acetate and butyrate coincided with a significantly greater AUC of postprandial glucagon-like peptide-1 and a higher level of fasting peptide YY, which partly improve A1c level
Birkeland, E. [131]
(2020)
Norway
25 patients 10:15
63.1
Double-blinded, crossover inulin-type fructans 16
placebo
6-week
intervention
4-week
washout
↔: α-diversity (observed OTUs)
↕: β-diversity
↑: Bifidobacterium adolescentis, Bacteroides ovatus, Faecalibacterium prausnitzii
↓: Ruminococcus
↑: SCFAs (acetic acid and propionic acid)
Bifidobacterium adolescentis negatively related to fecal butyric acid
Mitchell, C. M. [132]
(2021)
US
22 adults
at risk for T2D
14:8
54.4 ± 8.3
Double-blind Inulin 10 (n = 13)
placebo (n = 9)
6 weeks ↑: Bifidobacteria ↓: Fasting insulin, HOMA-IR No significant correlation between changes in bifidobacteria and any outcome variables.
Reimer, R. A. [133]
(2021)
Canada
290 adult patients
with overweight/obesity
198:92
around 55
Double-blind soluble viscous fiber 15–20 (n = 147)
isocaloric placebo (n = 143)
52 weeks ↑: Collinsella, Parabacteroides, Roseburia
↓: Faecalibacterium, Lactobacillus, Oscillibacter
↓: A1c, BMI, WC, LDL
Mateo-Gallego, R. [134]
(2021)
Spain
14 patients with overweight or obesity --
56.1 ± 6.27
Double-blinded, crossover isomaltulose + resistant dextrin 16.5 + 5.28
placebo
10-week intervention
6–8 weeks’
washout
↔: α-diversity (Shannon, Pielou, Observed features)
↔: β-diversity (weighted Unifrac)
↑: Parabacteroides
↓: Bacteroides, Odoribacter, Butyricimonas, Oscillospira
↓: BMI, Blood glucose, HOMA-IR

a: Ratio of female subjects to male subjects; -- data not available. b: ↑ increased; ↓ decreased; ↔ unchanged; ↕ changed β-diversity.