| Literature DB >> 30818761 |
Denise Mafra1,2, Natália Borges3, Livia Alvarenga4, Marta Esgalhado5, Ludmila Cardozo6, Bengt Lindholm7, Peter Stenvinkel8.
Abstract
Gut microbiota imbalance is common in patients with chronic kidney disease (CKD) and associates with factors such as increased circulating levels of gut-derived uremic toxins, inflammation, and oxidative stress, which are linked to cardiovascular disease and increased morbimortality. Different nutritional strategies have been proposed to modulate gut microbiota, and could potentially be used to reduce dysbiosis in CKD. Nutrients like proteins, fibers, probiotics, and synbiotics are important determinants of the composition of gut microbiota and specific bioactive compounds such as polyphenols present in nuts, berries. and fruits, and curcumin, may also play a key role in this regard. However, so far, there are few studies on dietary components influencing the gut microbiota in CKD, and it is therefore not possible to conclude which nutrients should be prioritized in the diet of patients with CKD. In this review, we discuss some nutrients, diet patterns and bioactive compounds that may be involved in the modulation of gut microbiota in CKD and provide the background and rationale for studies exploring whether nutritional interventions with these dietary components could be used to alleviate the gut dysbiosis in patients with CKD.Entities:
Keywords: chronic kidney disease; diet; gut microbiota; nutrients
Mesh:
Year: 2019 PMID: 30818761 PMCID: PMC6471287 DOI: 10.3390/nu11030496
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Summary of studies involving probiotics interventions in CKD patients.
| References | Study Design, Sample, Follow-up | Intervention | Results |
|---|---|---|---|
| Taki et al., 2005 [ | Non-controlled trial; 27 HD patients; 3 months | 3 × 109 CFU/day of | ↓ IS, homocystein and triglyceride serum levels |
| Ranganathan et al., 2010 [ | RCT with crossover, multicenter; 46 non-dialysis CKD patients; 6 months | 9 × 1010 CFU/day of a probiotic mix: | ↓ urea serum levels |
| Alatriste et al., 2014 [ | RCT; 30 non-dialysis CKD patients; 2 months | 8 × 109 CFU/day vs. 16 × 109 CFU/day of | ↓ serum urea – in dose of 16 × 109 CFU |
| Natarajan et al., 2014 [ | RCT with crossover; 22 HD patients; 6 months | 1.8 × 1011 CFU/day of a probiotic mix: | ↔ Uremic toxins or inflammatory markers. |
| Wang et al., 2015 [ | Randomized, double-blind, placebo-controlled clinical trial; 39 peritoneal dialysis patients;6 months | 109 CFU/day of | ↓ serum TNF-α, IL-5, IL-6, and endotoxin |
| Soleimani et al., 2016 [ | RCT; 60 diabetic patients on HD; 3 months | 2 × 109 CFU. | ↓ plasma glucose, serum insulin, HOMA-IR, HOMA-B, HbA1c, hs-CRP, MDA, SGA scores, TIBC |
| Shariaty et al., 2017 [ | RCT; 34 HD patients; 3 months | 3 × 1010 CFU of | ↔ Hb or CRP levels |
| Borges et al., 2017 [ | RCT; 33 HD patients; 3 months | 9 × 1010 CFU/day of a probiotic mix: | ↑ plasma IS, K, urea; ↓ fecal pH |
| Barros et al., 2018 [ | RCT; 22 non-dialysis CKD patients; 3 months | 9 × 1010 CFU/day of a probiotic mix: | ↑ IL-6 plasma levels |
| Eidi et al., 2018 [ | RCT; 42 HD patients; 1 month | 1.6 × 107 CFU/day of | ↓ phenol and p-cresol serum levels |
Abbreviations: HD: hemodialysis; CFU: colony-forming units; CKD: chronic kidney disease; RCT: Randomized clinical trial; Cr: creatinine; CRP: C-reactive protein; K: potassium; LPS: lipopolysaccharides; MDA: malondialdehyde; IS: indoxyl sulfate; p-CS: p-cresyl sulfate; IAA: indole-3-acetic acid; TMAO: trimethylamine-N-oxide; IL: Interleukin; HOMA-IR: homeostatic model assessment- insulin resistance; HOMA-B: homeostatic model assessment- beta; HbA1c: glycated hemoglobin; hs-CRP: high sensitivity C-reactive protein; SGA: saturated fatty acids; TIBC: total iron binding capacity; Hb: hemoglobin; ↔: no change; ↑: increase; ↓: decrease.
Summary of human studies involving prebiotics interventions in CKD patients.
| References | Study Design, Sample, Follow-up | Prebiotics | Results |
|---|---|---|---|
| Younes et al, 2006 [ | RCT with crossover; 9 non-dialysis CKD patients; 5 weeks | 40 g/day fermentable carbohydrate (25 g whole-meal bread + 4.5 g inulin + 10.5 g crude potato starch) | ↑ stool weight, fecal and urinary urea, fiber intake |
| Meijers et al, 2010 [ | Non-randomized, single-center, open-label phase; 22 HD patients; 4 weeks | 10–20 g/day of oligofructose-enriched inulin | ↓ 20% serum p-CS, generation rate and BUN |
| Sirich et al, 2014 [ | RCR; 56 HD patients; 6 weeks | 15 g/day of high-amylose corn starch | ↓ IS and a trend to p-CS free plasma |
| Salmean et al, 2015 [ | Single-blind, placebo controlled; 13 non-dialysis CKD patients; 6 weeks | 10 g/day of pea hull fiber (Best Pea Fiber; Best Cooking Pulses, Portage la Prairie, Manitoba, Canada) + 15 g/day inulin | ↓ 20% total plasma p-CS, |
| Poesen et al, 2016 [ | RCT with crossover; 40 non-dialysis CKD patients; 4 weeks | 10 g twice/day of arabinoxylan oligosaccharide | ↓serum TMAO |
| Tayebi-Khosroshahi et al, 2016 [ | RCT; 32 non-dialysis CKD patients; 8 weeks | 30 mm thrice/day of lactulose syrup | ↑ fecal bifidobacteria and lactobacillus counts |
| Tayebi Khosroshahi et al, 2018 [ | RCT; 46 HD patients; 4 weeks | 20–25 g/day of high amylose maize resistant starch | ↓ TNF-α, IL-6, MDA, severity constipation, serum urea and creatinine |
| Esgalhado et al, 2018 [ | RCT; 31 HD patients; 4 weeks | 16 g/day resistant starch (Hi-Maize® 260) | ↓ IL-6, TBARS, IS and a trend to protein carbonylation; ↑ fiber intake |
Abbreviations: HD: hemodialysis; CKD: chronic kidney disease; RCT: randomized clinical trial; Cr: creatinine; CRP: C-reactive protein; FOS: fructooligosaccharide; p-CS: p-cresyl sulfate; IAA: indole-3-acetic acid; IS: indoxyl sulfate; TMAO: trimethylamine-N-oxide; IL: Interleukin; HOMA-IR: homeostatic model assessment- insulin resistance; hs-CRP: high sensitivity C-reactive protein; ↔: no change; ↑: increase; ↓: decrease; eGFR: estimated glomerular filtration rate; BUN: Blood urea nitrogen; TNF: Factor de necrose tumoral; MDA: malondialdehyde.
Summary of studies involving symbiotics interventions in CKD patients.
| References | Study Design, Sample, Follow-up | Intervention | Results |
|---|---|---|---|
| Nakabayashi et al., 2011 [ | Clinical trial; 9 HD patients; 2 weeks | 1 × 108 Lactobacillus casei strain Shirota and Bifidobacterium breve strain Yakult + 4 g of prebiotic: 1.67 g or more galacto-oligosaccharides and <1.36 g of lactose and monosaccharide | ↓ serum p-CS levels |
| Cruz-Mora et al., 2014 [ | RCT; 18 HD patients; 2 months | (Lactobacillus acidophilus and Bifidobacterium bifidum), for total as probiotic of 2.0 × 1012 CFU 2.31 g of a prebiotic fiber (inulin); 1.5 g of omega-3 fatty acids (eicosapentaenoic and docosahexaenoic acid) and vitamins (complex B, folic acid, ascorbic acid, and vitamin E) | ↑ |
| Guida et al, 2014 [ | RCT; 30 non-dialyzed CKD patients; 1 month | 5 × 109 Lactobacillus plantarum, 2 × 109 Lactobacillus casei subsp. rhamnosus and 2 × 109 Lactobacillus gasseri, 1 × 109 Bifidobacterium infantis and 1 × 109 Bifidobacterium longum, 1 × 109 Lactobacillus acidophilus, 1 × 109 Lactobacillus salivarius and 1 × 109 Lactobacillus sporogenes and 5 × 109 Streptococcus thermophilus) + prebiotic: 2.2 g inulin and 1.3 g of tapioca-resistant starch | ↓ plasma p-CS |
| Viramontes-Horner et al, 2015 [ | RCT; 42 HD patients; 2 months | Symbiotic gel (containing Lactobacillus acidophilus NCFM and Bifidobacterium lactis Bi-07 for a total of 11 × 106 CFU + 2.31 g of a prebiotic fiber inulin + 1.5 g of omega-3 fatty acids and vitamins of complex B, folic acid, ascorbic acid, and vitamin E) | ↓ Episodes of vomit, heart- burn, and stomachache, gastrointestinal symptons. |
| Dehghani et al., 2016 [ | RCT; 66 non-dialysis CKD patients; 6 weeks | 2 × 500 mg containing 7 strains of probiotics: | ↓ blood urea nitrogen |
| Pavan, 2016 [ | Prospective observational study with randomized control, open-label design; 24 non-dialysis CKD patients; 6 months | 15 billion cells/cfU of each one: Streptococcus thermophiles, Lactobacilllus acidophilus, Bifidobacterium longum + 100 mg Fructooligosaccharides | ↓ GFR |
| Rossi et al, 2016 [ | RCT with crossover; 31 non-dialyzed CKD patients; 6 weeks | High–molecular weight inulin, FOS and GOS and the probiotic component including 9 different strains across the Lactobacillus, Bifidobacteria, and Streptococcus genera | ↑Bifidobacterium and ↓ Ruminococcaceae |
Abbreviations: HD: hemodialysis; CKD: chronic kidney disease; RCT: randomized clinical trial; Cr: creatinine; CRP: C-reactive protein; FOS: fructooligosaccharide; GOS: galacto-oligosaccharides; p-CS: p-cresyl sulfate; IS: indoxyl sulfate; IAA: indole-3-acetic acid; TMAO: trimethylamine-N-oxide; IL: Interleukin; CFU: colony-forming unit; TNF- a: TNF: Factor de necrose tumoral- alpha; GFR: glomerular filtration rate; eGFR: estimated glomerular filtration rate; LPS: lipopolysaccharide; ↔: no change; ↑: increase; ↓: decrease.
Summary of human studies involving bioactive compounds and gut microbiota.
| References | Study Design, Sample, Follow-up | Intervention | Results |
|---|---|---|---|
| Clavel et al. (2005) [ | RCT; 39 postmenopausal women; 1 month | 100 mg/day of isoflavones supplemented in cereal bars and gelified milk | ↑ Lactobacillus-Enterococcus |
| Queipo-Ortuno et al. (2012) [ | RCT;10 healthy male volunteers; 20 days | Group 1: de-alcoholized red wine (272 mL/day) | Group 1: ↑ Fusobacteria |
| Song et al. (2015) [ | RCT; 28 obese women; 3 months | 2 pouches in a day, | ↑ |
| Eid et al. (2015) [ | RCT; 21 healthy volunteers; 21 days | 50 g of palm date | ↔ growth of the faecal microbiota |
| Moreno-Indias et al. (2015) [ | RCT; 10 metabolic syndrome in obese patients; 1 month | red wine (272 mL per day) or de-alcoholized | Red wine and de-alcoholized red wine: |
| Janssens et al. (2016) [ | RCT; 58 Caucasian men and women; 3 months | green tea (>0.56 g/d epigallocatechin-gallate + 0.28*0.45 g/d caffeine) capsules | ↔ growth of the faecal microbiota |
| Li et al. (2015) [ | RCT; 20 healthy participants; 1 month | 1g of pomegranate extract daily | ↑ Actinobacteria, Butyrivibrio, Enterobacter, Escherichia, Lactobacillus, Prevotella, Serratia and Veillonella. |
| Barroso et al. (2017) [ | RCT; 15 healthy volunteers; 28 days | 250 mL of red wine per day | ↑ Slackia, Gordonibacter, Oscillatoria, Veillonella and Oenococcus |
| Most et al. (2017) [ | RCT; 37 overweight and obese men and women; 3 months | epigallocatechin-3-gallate (282 mg/day) and resveratrol (80 mg/day) | ↓ Bacteroidetes and Faecalibacterium prausnitzii in men |
| Peterson et al. (2018) [ | RCT; 14 healthy volunteers; 2 months | Group 1: turmeric tablets contained 1000 mg turmeric root (Curcuma longa) plus 1.25 mg black pepper–derived extract of piperine alkaloid. | Group 1: ↑ in observed species 7% (156 vs. 167) |
Abbreviations: RCT: randomized, double-blind, placebo-controlled; CRP: C-reactive protein; LPS: lipopolysaccharides; ↔: no change; ↑: increase; ↓: decrease.
Summary of human studies involving different diets and their effects on the gut microbiota.
| References | Study Design, Sample, Follow-up | Intervention | Results |
|---|---|---|---|
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| Marzocco et al., 2013 [ | RCT with crossover; 32 non-dialysis CKD patients; 1 week | VLPD (0.3 g/kg bw/day) + ketoanalogues | VLPD changed the IS level with a reduction of 37% when compared to LPD |
| Kandouz et al., 2016 [ | Cross-sectional; 138 HD patients from a cohort were analyzed and 16 patients were strict vegetarians | Vegetarian diet | ↓ IS and p-CS levels; ↓ serum urea, and phosphate and estimated urea nitrogen intake before HD |
| Black et al., 2018 [ | Longitudinal; 30 non-dialysis CKD patients; 6 months | LPD (0.6 g/kg/day) | ↓ p-CS plasma levels |
| Mafra et al, 2018 [ | Prospective pilot study; 9 non-dialysis CKD patients; 6 months | LPD (0.6 g protein/kg day) | ↓ TMAO plasma levels |
| Patel et al., 2012 [ | 15 healthy vegetarian individuals | Vegetarian diet | ↓ p-CS and IS production rates |
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| De Filippis et al, 2016 [ | Cross-sectional survey; | Adherence to the Mediterranean diet | Associations between consumption of vegetable-based diets and higher levels of short-chain fecal fatty acids, Prevotella and fiber-degrading Firmicutes; |
| Mitsou et al, 2017 [ | Cross-sectional study, 120 healthy participants | Adherence to the Mediterranean diet | ↓ |
| Garcia-Mantrana et al, 2018 [ | Cross-sectional study; 27 healthy volunteers | Adherence to the Mediterranean diet | ↑ Bifidobacterial counts, |
Abbreviations: VLPD: very low-protein diet; LPD: Low-protein diet; p-CS: p-cresyl sulfate; IS: indoxyl sulfate; IAA: indole-3-acetic acid; TMAO: trimethylamine-N-oxide; CKD: chronic kidney disease; HD: hemodialysis; ↔: no change; ↑: increase; ↓: decrease.
Figure 1Dietary components and gut microbiota in chronic kidney disease (CKD). In CKD, several factors lead to alterations in composition and function of the gut microbiota. These disorders are associated with severe consequences for CKD patients, as part of a bidirectional gut-kidney axis. Here we present some dietary components that may modulate gut microbiota composition and their metabolites, contributing to dysbiosis or symbiosis.