The Impact of Low-FODMAPs, Gluten-Free, and Ketogenic Diets on Gut Microbiota Modulation in Pathological Conditions
Abstract
:1. Introduction
2. IBS and Low-FODMAPs Dietary Patterns
3. Low-FODMAPs Dietary Pattern and Its Impact on Gut Microbiota in IBS
4. GFD and CD
5. Impact of the GFD on Gut Microbiota Modulation
6. Ketogenic Diet (KD) in Neurological Disorders
7. Impact of KD in Gut Microbiota Modulation
8. Probiotics Supplementation
9. Conclusions and Future Perspectives
Author Contributions
Funding
Conflicts of Interest
References
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N of Subjects | Age of Subjects | Population | Time of Administration | Methodology | LFD | Findings | Year | Authors |
---|---|---|---|---|---|---|---|---|
19 IBS patients on LFD and 22 IBS patient on habitual diet | 18–65 years | IBS | 4 weeks | FISH | restriction of foods high in fructans (e.g., wheat products, onions), GOS (e.g., legumes), polyols (e.g., pear, sugar-free gums), lactose (e.g., mammalian milk), and excess fructose (e.g., honey) | ↓ Bifidobacteria in LFD versus habitual. No differences in levels of total bacteria, Bacteroides Prevotella, E. rectale-C. coccoides, F. prausnitzii, Lactobacillus and Enterococcus after LFD | 2012 | Staudacher [27] |
51 IBS patients on LFD and 53 IBS patients on Sham diet | 18–65 years | IBS | 4 weeks | qPCR and 16S rRNA-Illumina sequencing | restriction of foods high in fructans (e.g., wheat products, onions), GOS (e.g., legumes), polyols (e.g., pear, sugar-free gums), lactose (e.g., mammalian milk), and excess fructose (e.g., honey) | ↓ Bifidobacterium spp. in LFD versus sham | 2017 | Staudacher [24] |
37 IBS patients: 19 on LFD, 18 on high FODMAPs (HFD) | LFD group, 50.3 median age (years) HFD group, 51.5 median age (years) | IBS | 3 weeks | 16S rRNA-Illumina sequencing | restriction of foods high in fructans (e.g., wheat products, onions), GOS (e.g., legumes), polyols (e.g., pear, sugar-free gums), lactose (e.g., mammalian milk), and excess fructose (e.g., honey) | ↑ Actinobacteria, Firmicutes, Clostridiales; ↑ecological diversity in LFD versus HFD; ↑ Clostridiales XIII Incertae sedis spp. In addition, Porphyromonas spp. in LFD versus baseline; ↓ Propionibacteriaceae and Bifidobacteria in LFD versus baseline | 2017 | McIntosh [29] |
30 IBS randomized to LFD and habitual Australian diet and 8 healthy individuals | IBS 41 median age (years) CTRL 31 median age (years) | IBS | 3 weeks | qPCR | LFD: 3.05g (mean value) total FODMAPs. Habitual diet: 23.7 (mean value) total FODMAPs | ↓Bifidobacteria, F. prausnitzii, Clostridium cluster IV A. muciniphila, total bacteria in LFD versus habitual diet; ↑ Clostridium cluster XIV diversity in LFD versus habitual diet | 2014 | Halmos [28] |
12 IBS patients | 10.9 median age (years) | IBS | 1 week | 16S rRNA 454 pyrosequencing | restriction of foods high in fructans (e.g., wheat products, onions), GOS (e.g., legumes), polyols (e.g., pear, sugar-free gums), lactose (e.g., mammalian milk), and excess fructose (e.g., honey) | No changes in terms of richness of specie and in the taxa composition after LFD | 2014 | Chumpitazi [30] |
33 IBS children randomized to LFD (16) or habitual American diet (17) | 7–17 years | IBS | 4 days | 16S rRNA 454 pyrosequencing | The low-FODMAP diet contained 0.15 g/kg * day (maximum 9 g/day) of FODMAPs. The habitual diet contained 0.7 g/kg * day (maximum 50 g/day) of FODMAPs | ↑ Bacteroides, Ruminococcaceae, F. prausnitzii and Erysipelotrichaceae in responder patients at baseline | 2015 | Chumpitazi [31] |
61 IBS patients (32 responders and 29 non-responders) | Responders 32.5 median age (years) non-responders 39 median age (years) | IBS | 4 weeks | GA-map™ Dysbiosis Test | restriction of foods high in fructans (e.g., wheat products, onions), GOS (e.g., legumes), polyols (e.g., pear, sugar-free gums), lactose (e.g., mammalian milk), and excess fructose (e.g., honey) | ↑ B. fragilis, Acinetobacter, Ruminiclostridium Streptococcus, Eubacterium in responders versus non-responders at baseline; ↓ Clostridia, Negativicutes, Bacilli Actinomycetales, Anaerotruncus, Clostridiales Shigella, Escherichia in non-responders versus responders at baseline | 2018 | Valeur [17] |
19 NCGS patients 10 CTRL | NCGS 33.8 median age (years) healthy controls 32.8 median age (years) | NCGS | 2 weeks LFD Followed by 2 weeks GFD | 16S rRNA-Illumina sequencing | LFD in healthy individuals: 0.98 g/day lactose, 0.87 g/day maltose, 0.22 g/day sorbitol LFD in NCGS: 1.10 g/day lactose,10.83 fructose, 0.73 g/day, 0.12 g/day sorbitol | GFD: ↑ Bacteroidaceae ↓ Lachnospiraceae; LFD: ↓Bifidobacteriaceae ↑ Lachnospiraceae | 2018 | Dieterich [32] |
N of Subjects | Age of Subjects | Population | Time of Administration | Methodology | Findings | Year | Authors |
---|---|---|---|---|---|---|---|
16 patients and 8 healthy | 5 median age (years) | CD | 2 years | qPCR | ↓ E. coli and Staphylococcus | 2009 | Collado [45] |
30 patients and 8 healthy | 4.9 median age (years) | CD | 1–2 years | FISH and flow cytometry | ↑ overgrowth of total and Gram-negative bacteria | 2007 | Nadal [46] |
8 patients and 5 healthy children; 10 patients and 5 healthy adults | Children 5.5 median age and adults 26.3 median age (years) | CD | n.d. | 16S rRNA-based metagenomics | ↓ Streptococcus spp. and Prevotella spp. | 2012 | Nistal [47] |
19 patients and 15 healthy | 6–12 years | CD | 2 years | PCR-DGGE | ↓ Lactobacillus, Enterococcus and Bifidobacteria; ↑ Bacteroides, Staphylococcus, Salmonella, Shigella and Klebsiella | 2011 | Di Cagno [48] |
14 patients and 42 healthy | adults | CD | at least 2 years | Microbiological culture | ↓ Bifidobacterium | 2014 | Golfetto [49] |
21 patients | 6–12 years | CD | 2 years | PCR-DGGE analysis and Microbiological culture | ↑ L. brevis, L. rossiae and L. pentosus; ↑ B. longum, B. infantis, B. lactis, B. dentium, B. bifidum | 2009 | Di Cagno [50] |
20 patients and 10 healthy | 11.7 median age (years) | CD | 9 months | TTGE | ↑ B. vulgatus and C. coccoides group | 2010 | Schippa [51] |
Subjects/Animals | N of Subjects | Age of Subjects | Population | Time of Administration | KD | Methodology | Findings | Year | Authors |
---|---|---|---|---|---|---|---|---|---|
C57BL/6 male mice | 9–10 for treated and untreated groups | 12–14 weeks of age | Healthy | 16 weeks | 75.1% fat (composed of saturated, monounsaturated, and polyunsaturated fatty acids), 8.6% protein, 4.8% fiber, 3.2% carbohydrates, 3% ash, and less than 10% moisture | 16S rRNA-based metagenomics | ↓ microbiota diversity; ↑ Adlercreutzia, Lactobacillus, Erysipelotrichaceae-Clostridium, A. muciniphila; ↓ Turicibacter, Clostridiaceae-Clostridium, Dorea, Desulfovibrio | 2017 | Ma [63] |
C57BL/6 and BTBRT + tf/j | 21 and 25 per group | 5 weeks of age | ASD | 10–14 days | 75% kcal fat | qPCR analysis | ↓ bacterial abundance in cecal and fecal matter; ↓ A. muciniphila, Methanobrevibacter, and Roseburia in cecal matter; ↓ A. muciniphila and Lactobacillus, ↑ Enterobacteriaceae in fecal matter | 2016 | Newell [64] |
Germ Free wild-type Swiss Webster and SPF C3HeB/FeJ KCNA1 KO mice | Variable for each group | 3–4-week-old | 6-Hz-induced seizure model of refractory epilepsy | 3 weeks | 6:1 KD | 16S rRNA-based metagenomics | ↓ alpha diversity; ↑ A. muciniphila and Parabacteroides | 2018 | Olson [65] |
Human | 14 patients and 30 healthy controls | 1.95 median age (years) | Refractory epilepsy | 1 week | Zeneca products: lipid-to-non-lipid ratio of 4:1, with 60% of the total lipid long-chain triglyceride and 40% medium-chain triglyceride | 16S rRNA-based metagenomics | ↓ richness of gut bacteria; ↑ Bacteroidetes and ↓ Proteobacteria; ↑ Bacteroides, Bifidobacterium and Prevotella; ↓ Cronobacter | 2017 | Xie [66] |
Human | 20 pre and post treatment | 4.75 median age (years) | Refractory epilepsy | 6 months | 4:1 ratio KD | 16S rRNA-based metagenomics | ↓ richness of gut bacteria; ↑ Bacteroidetes; ↓ Firmicutes and Actinobacteria | 2018 | Zhang [67] |
Human | 25 patients 14 healthy controls | n.d. | Auto-immune multiple sclerosis (MS) | 6 months | An average daily intake of <50 g carbohydrates, >160 g fat, and <100 g protein was recommended | FISH | ↓ total concentration and diversity of substantial bacterial groups at week 2; ↑ total concentration at 24 weeks | 2017 | Swidsinski [68] |
Human | 6 pre and post treatment | 8–34 years | GLUT1 DS | 3 months | Starting from 1:1 to gradually proceed to 2:1, 3:1 or 4:1 ratio KD | qPCR analysis | ↑ Desulfovibrio | 2017 | Tagliabue [69] |
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Reddel, S.; Putignani, L.; Del Chierico, F. The Impact of Low-FODMAPs, Gluten-Free, and Ketogenic Diets on Gut Microbiota Modulation in Pathological Conditions. Nutrients 2019, 11, 373. https://doi.org/10.3390/nu11020373
Reddel S, Putignani L, Del Chierico F. The Impact of Low-FODMAPs, Gluten-Free, and Ketogenic Diets on Gut Microbiota Modulation in Pathological Conditions. Nutrients. 2019; 11(2):373. https://doi.org/10.3390/nu11020373
Chicago/Turabian StyleReddel, Sofia, Lorenza Putignani, and Federica Del Chierico. 2019. "The Impact of Low-FODMAPs, Gluten-Free, and Ketogenic Diets on Gut Microbiota Modulation in Pathological Conditions" Nutrients 11, no. 2: 373. https://doi.org/10.3390/nu11020373
APA StyleReddel, S., Putignani, L., & Del Chierico, F. (2019). The Impact of Low-FODMAPs, Gluten-Free, and Ketogenic Diets on Gut Microbiota Modulation in Pathological Conditions. Nutrients, 11(2), 373. https://doi.org/10.3390/nu11020373