| Literature DB >> 31091761 |
Annalisa Noce1, Giulia Marrone2,3, Francesca Di Daniele4, Eleonora Ottaviani5, Georgia Wilson Jones6, Roberta Bernini7, Annalisa Romani8, Valentina Rovella9.
Abstract
In recent years, mounting scientific evidence has emerged regarding the evaluation of the putative correlation between the gut microbiota composition and the presence of chronic non-communicable diseases (NCDs), such as diabetes mellitus, chronic kidney disease, and arterial hypertension. The aim of this narrative review is to examine the current literature with respect to the relationship between intestinal dysbiosis and the insurgence/progression of chronic NCDs, analyzing the physiopathological mechanisms that can induce microbiota modification in the course of these pathologies, and the possible effect induced by microbiota alteration upon disease onset. Therapy based on probiotics, prebiotics, synbiotics, postbiotics, and fecal microbiota transplant can represent a useful therapeutic tool, as has been highlighted on animal studies. To this moment, clinical studies that intended to demonstrate the beneficial effect induced by this kind of oral supplementation on the gut microbiota composition, and subsequent amelioration of signs and symptoms of chronic NCDs have been conducted on limited sample populations for a limited follow-up period. Therefore, to fully evaluate the therapeutic value of this kind of intervention, it would be ideal to design ample population; randomized clinical trials with a lengthy follow up period.Entities:
Keywords: chronic non-communicable diseases; dysbiosis; gut microbiota; prebiotics; probiotics; synbiotics
Mesh:
Year: 2019 PMID: 31091761 PMCID: PMC6567014 DOI: 10.3390/nu11051073
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Mechanisms influencing the composition of the gut microbiota. NCDs, chronic non-communicable diseases.
Probiotics effects on CKD, DM and HTN.
| Author | Year | Study Population | Type of the Study | Primary Outcome | |
|---|---|---|---|---|---|
| Natarajan R [ | 2014 | 22 HD patients | RDBPC | Reduction in: | |
| WBC count | |||||
| CRP serum level | |||||
| Total IG level | |||||
| Miranda Alatriste PV [ | 2014 | 30 stage III–IV CKD patients | RCT | Decrease in the serum urea level | |
| Miraghajani M [ | 2017 | 48 DKD patients | RCT | Decrease in: | |
| Oxidized GSH | |||||
| Increase in: | |||||
| GSH | |||||
| GSH peroxidase | |||||
| GSH reductase | |||||
| Borges NA [ | 2018 | 46 HD patients | RDBPC | Increase in: | |
| Serum urea | |||||
| Potassium | |||||
| IS | |||||
| Decrease in: | |||||
| Fecal pH | |||||
| Yadav H [ | 2006 | 39 high fructose-induced T2DM fed rats | RCT | Improvement of glycemic and lipid profile (blood glucose, HbA1c, glucose intolerance, plasma insulin, liver glycogen, PTC, TG, LDL, VLDL HDL, and FFA) | |
| Yadav H [ | 2007 | 18 high fructose-induced T2DM fed rats | RCT | Improvement of glycemic and lipid profile (blood glucose, HbA1c, glucose intolerance, plasma insulin, liver glycogen, PTC, TAG, LDL, VLDL, and FFA) | |
| Khalili L [ | 2019 | 40 T2DM patients | RCT | Increase in SIRT1 | |
| Decrease in: | |||||
| Fet1 | |||||
| FBG | |||||
| HbA1c | |||||
| Insulin | |||||
| HOMA.IR | |||||
| Firouzi S [ | 2015 | 136 T2DM patients | RDBPC | Decrease in the serum urea level | |
| Kijmanawat A [ | 2019 | 57 Pregnant women with diet-controlled gestational DM | RDBPC | Decrease in: | |
| FBG | |||||
| Fasting plasma insulin | |||||
| HOMA.IR | |||||
| Tanida M [ | 2005 | Urethane-anesthetized rats | RCT | Decrease in: | |
| RSNA | |||||
| BP | |||||
| Increase in: | |||||
| GVNA | |||||
| Gomez-Guzman M [ | 2015 | 40 spontaneously hypertensive rats | RCT | Decrease in: | |
| Systolic BP | |||||
| Increase in the relaxation induced by acetylcholine | |||||
| eNOS activity | |||||
| Phosphorylation of eNOS | |||||
| Ahrén IL [ | 2015 | 54 induced hypertensive rats | RCT | Decrease in BP | |
| Tuomilehto J [ | 2004 | 60 patients with mild HTN | RCT | Decrease in: | |
| Systolic BP | |||||
| Diastolic BP | |||||
| Jauhiainen T [ | 2005 | 94 hypertensive patients | RDBPC | Decrease in: | |
| Systolic BP | |||||
| Diastolic BP | |||||
| Aoyagi Y [ | 2017 | 352 normotensive patients | RCT | Decrease of the risk of developing HTN |
BP, blood pressure; CKD, chronic kidney disease; CRP, C-reactive protein; DKD, diabetic kidney disease; eNOS, nitric oxide synthase; FBG, fasting blood glucose; FetA: fetuin A; FFA: free fatty acid; GSH, glutathione; GVNA, gastric vagal nerve activity; HbA1c, glycated hemoglobin; HD, hemodialysis; HDL: high-density lipoprotein; HOMA, homeostatic model assessment; HOMA-IR, homeostatic model assessment for insulin resistance; HTN, arterial hypertension; IG, indoxyl glucuronide; IS, indoxyl sulfate; LDL, low-density lipoprotein-cholesterol; PTC, plasma total cholesterol; RCT, randomized control trial; RDBPC, randomized, double-blind, placebo-controlled; RSNA, renal sympathetic nerve activity; SIRT1: Sirtuin1; T2DM, diabetes mellitus type 2; TAG, triacylglycerol; TBARS: thiobarbituric acid reactive species; TG, triglycerides; VLDL, very-low-density lipoprotein-cholesterol; WBC, white blood cell.
Prebiotics effects on CKD, DM and HTN.
| Reference | Year | Study Population | Type of the Study | Primary Outcome | |
|---|---|---|---|---|---|
| Younes H [ | 2006 | 9 CKD patients | Single-blinded prospective randomized trial | Increase in: | |
| Urea nitrogen excretion in stool | |||||
| Decrease in: | |||||
| Urinary nitrogen excretion | |||||
| Plasma urea | |||||
| Ramos CI [ | 2018 | 50 non-diabetic non-dialysis-dependent CKD patients | RDBPC | Decrease in: | |
| Serum total PCS | |||||
| Serum free PCS | |||||
| Meijers BKI [ | 2010 | 22 HD patients | Single center, non-randomized, open-label phase I/II study | Decrease in: | |
| PCS generation rates | |||||
| PCS serum concentrations | |||||
| Sirich TM [ | 2014 | 56 HD patients | Single-blinded prospective randomized trial | Decrease in: | |
| Serum free IS | |||||
| Serum free PCS | ns | ||||
| Poesen R [ | 2016 | 40 CKD patients with eGFR between 15 and 45 mL/min/1.73 m2 | Randomized, placebo-controlled, double-blind, cross-over study | No significant decrease of serum uremic toxins level or 24h urinary excretion | ns |
| Everard A [ | 2011 | 10 | RCT | Improvement of plasma glucose profile | |
| Increase in: | |||||
| White adipose | |||||
| Leptin sensitivity | |||||
| Proglucagon mRNA expression | |||||
| Enteroendocrine | |||||
| Dehghan P [ | 2014 | 52 women with T2DM | RCT | Decrease in: | |
| BMI | |||||
| FBG | |||||
| Hb1Ac | |||||
| IL-6 | |||||
| TNF-α | |||||
| LPS | |||||
| Bodinham CL [ | 2014 | 17 T2DM patients | RCT | Decrease in: | |
| Postprandial glucose concentrations | |||||
| NEFA | |||||
| Fasting GLP1 | |||||
| Increase in: | |||||
| Glucose uptake across the forearm muscle | |||||
| Postprandial GLP1 excursions | |||||
| Aliasgharzadeh A [ | 2015 | 75 T2DM patients | RCT | Decrease in: | |
| FBI | |||||
| HOMA-IR | |||||
| QUICKI | |||||
| TNF-α | |||||
| IL-6 | |||||
| Endotoxin | |||||
| MDA | |||||
| Marques FZ [ | 2017 | 64 hypertensive mice | RCT | Increase in: | |
| Acetate-producing bacteria | |||||
| Decrease in: | |||||
| F:B ratio | |||||
| Systolic BP | |||||
| Diastolic BP | |||||
| Glomerular fibrosis | |||||
| Tubulointerstitial fibrosis | |||||
| Cardiac perivascular and interstitial fibrosis | |||||
| Left ventricular hypertrophy | |||||
| Xiao S [ | 2014 | 123 obese patients | Self-controlled clinical trial | Decrease in: | |
| Bifidobacteriaceae bacteria | |||||
| Systolic BP | |||||
| Diastolic BP | |||||
| Body weight | |||||
| BMI | |||||
| FBI | |||||
| FBG | |||||
| HOMA-IR | |||||
| HbA1c | |||||
| TG | |||||
| PTC | |||||
| LDL | |||||
| TNF-α | |||||
| IL-6 | |||||
| CRP | |||||
| Increase in: | |||||
| Rault- Nania MH [ | 2008 | 40 high fructose-fed rats | RCT | Prevention of: | |
| BP elevation | |||||
| Hypertriglyceridemia | |||||
| Susceptibility to heart peroxidation | |||||
| Hsu CN [ | 2018 | 8 male adult offspring born to high fructose-fed mothers | RCT | Decrease in: | |
| BP |
BMI, body mass index; BP, blood pressure; CKD, chronic kidney disease; CRP, C-reactive protein; eGFR, estimated glomerular filtration rate; F:B ratio, Firmicutes to Bacteroides ratio; FBG, fasting blood glucose; FBI, fasting blood insulin; FFA: free fatty acid; GLP1, Glucagon-like peptide-1; HbA1c, glycated hemoglobin; HD, hemodialysis; HDL: high-density lipoprotein; HOMA-IR, homeostatic model assessment for insulin resistance; IG, indoxyl glucuronide; IL-6, interleukin-6; IS, indoxyl sulfate; LDL, low-density lipoprotein-cholesterol; LPS, lipopolysaccharide; NEFA, non-esterified fatty acid; PCS, p-Cresyl sulfate; PTC, plasma total cholesterol; QUICKI, quantitative insulin sensitivity check index; RCT, randomized control trial; RDBPC, randomized, double-blind, placebo-controlled; T2DM, diabetes mellitus type 2; TG, triglycerides; TNF-α, tumor necrosis factor-α. VLDL, very-low-density lipoprotein-cholesterol.
Synbiotic effects on CKD, DM and HTN.
| Reference | Year | Study Population | Type of the Study | Primary Outcome | |
|---|---|---|---|---|---|
| Eslamparast T [ | 2014 | 38 patients with metabolic syndrome | RDBPC | Decrease in: | |
| FBG | |||||
| HOMA-IR | |||||
| TG | |||||
| PTC | |||||
| Increase in: | |||||
| HDL | |||||
| Ahmadi S [ | 2016 | 70 patients with gestational diabetes | RDBPC | Decrease in: | |
| Insulin plasma level | |||||
| TAG plasma level | |||||
| VLDL plasma level | |||||
| HOMA-IR | |||||
| HOMA for β cell function | |||||
| Increase in: | |||||
| QUICKI | |||||
| Pavan M [ | 2016 | 24 patients with CKD from stage III-V not on renal replacement therapy | Randomized controlled and open-label trial | A lower declining of eGFR | |
| Guida B [ | 2017 | 36 KTRs | Single-center, parallel group, double blinded, randomized study | Decrease of PCS level | |
| Viramontes-Horner D [ | 2015 | 22 HD patients | RDBPC | Reduction in the presence and severity of gastrointestinal symptoms |
CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; FBG, fasting blood glucose; FFA: free fatty acid; HD, hemodialysis; HDL, high-density lipoprotein; HOMA, homeostatic model assessment; HOMA-IR, homeostatic model assessment for insulin resistance; KTR, kidney transplant recipients; PCS, p-Cresyl sulfate; PTC, plasma total cholesterol; QUICKI, quantitative insulin sensitivity check index; RDBPC, randomized, double-blind, placebo-controlled; TAG, triacylglycerol TG, triglyceride; VLDL, very-low-density lipoprotein-cholesterol.