| Literature DB >> 35409313 |
Chien-Ning Hsu1,2, You-Lin Tain3,4.
Abstract
The gut-kidney interaction implicating chronic kidney disease (CKD) has been the focus of increasing interest in recent years. Gut microbiota-targeted therapies could prevent CKD and its comorbidities. Considering that CKD can originate in early life, its treatment and prevention should start in childhood or even earlier in fetal life. Therefore, a better understanding of how the early-life gut microbiome impacts CKD in later life and how to develop ideal early interventions are unmet needs to reduce CKD. The purpose of the current review is to summarize (1) the current evidence on the gut microbiota dysbiosis implicated in pediatric CKD; (2) current knowledge supporting the impact of the gut-kidney axis in CKD, including inflammation, immune response, alterations of microbiota compositions, short-chain fatty acids, and uremic toxins; and (3) an overview of the studies documenting early gut microbiota-targeted interventions in animal models of CKD of developmental origins. Treatment options include prebiotics, probiotics, postbiotics, etc. To accelerate the transition of gut microbiota-based therapies for early prevention of CKD, an extended comprehension of gut microbiota dysbiosis implicated in renal programming is needed, as well as a greater focus on pediatric CKD for further clinical translation.Entities:
Keywords: children; chronic kidney disease; developmental origins of health and disease (DOHaD); gut microbiota; hypertension; prebiotics; probiotics; short-chain fatty acids; trimethylamine-N-oxide
Mesh:
Substances:
Year: 2022 PMID: 35409313 PMCID: PMC9000069 DOI: 10.3390/ijms23073954
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Schematic diagram summarizing the proposed mechanisms related to the gut–kidney axis involved in the pathogenesis of chronic kidney disease and its comorbidities. LPS = lipopolysaccharide; Th17 = T-helper 17 cell; Th1 = T-helper 1 cell; TLR4 = toll-like receptor 4; NF-κB = nuclear factor kappa B; SCFA = short-chain fatty acid; IS = indoxyl sulfate; PCS = p-cresyl sulfate; AHR = aryl hydrocarbon receptor; TMA = trimethylamine; TMAO = trimethylamine-N-oxide.
Summary of studies investigated links between gut microbiota and pediatric chronic kidney disease.
| Study | Study Population | Age (Years) | Alterations in Gut Microbiota and Metabolites |
|---|---|---|---|
| Crespo-Salgado et al., 2016 [ | 8 HD, 8 PD, 10 transplant, 13 controls | Control: 9.5 (3–16), HD: 13.6 (8–17), PD: 11.9 (3–17), transplant: 13.2 (2–18) | ↓ Alpha diversity in PD and transplant |
| Tsuji et al., 2018 [ | 12 INS, 11 controls | Controls: 5.1, relapsing INS: 3, non-relapsing INS: 4.3 | ↓ Butyrate-producing bacteria belonging to Clostridium clusters IV and XIVa |
| Hsu et al., 2018 [ | 60 CKD stage 1 | 11.3 (7.2–15.5) | ↓ Urinary levels of DMA and TMAO in CKD stage 2–3 vs. CKD stage 1 |
| Hsu et al., 2019 [ | 78 CKD stage 1–4 | 11.2 (7.4–15.2) | ↑ Plasma levels of propionic acid and butyric acid in CKD children with an abnormal ABPM profile |
| Kang et al., 2019 [ | 20 INS | 3.5 ± 2.1 | ↑ Genera |
| Hsu et al., 2020 [ | 115 CKD stage 1–4 | 11.3 (7.2–15.5) | ↑ Plasma levels of DMA, TMA, and TMAO in children with CKD stage 2–4 vs. CKD stage 1 |
| Yamaguchi et al., 2021 [ | 20 INS | INS with probiotics: 6.4 (3.7–10.6), INS without probiotics: 4.7 (3.5–7.8) | ↓ Butyrate-producing bacteria |
Data on age are presented as mean ± standard deviation or median (interquartile range); PD = peritoneal dialysis; HD = hemodialysis; CKD = chronic kidney disease; INS = idiopathic nephrotic syndrome; CAKUT = congenital anomalies of the kidney and urinary tract; DMA = dimethylamine; TMA = trimethylamine; TMAO = trimethylamine-N-oxide; ABPM = 24 h ambulatory blood pressure monitoring.
Figure 2Schematic diagram of the potential gut microbiota-targeted therapy used for developmental programming of chronic kidney disease.
Summary of early-life gut microbiota-targeted therapies for CKD and its comorbidities.
| Gut Microbiota-Targeted Intervention | Animal Models | Species/Gender | Age at | Effects on CKD and Its Comorbidities | Reference |
|---|---|---|---|---|---|
| Probiotics | |||||
| Daily oral gavage of | Maternal high-fructose diet | SD rat/M | 12 weeks | Prevented hypertension | Hsu et al., 2018 [ |
| Daily oral gavage of | Perinatal high-fat diet | SD rat/M | 16 weeks | Prevented hypertension | Hsu et al., 2019 [ |
| Prebiotics | |||||
| 5% | Maternal high-fructose diet | SD rat/M | 12 weeks | Prevented hypertension | Hsu et al., 2018 [ |
| 5% | Perinatal high-fat diet | SD rat/M | 16 weeks | Prevented hypertension | Hsu et al., 2019 [ |
| Resveratrol (50 mg/L) in drinking water to mother rats from pregnancy through lactation | Perinatal TCDD exposure model | SD rat/M | 12 weeks | Prevented renal inflammation and hypertension | Hsu et al., 2021 [ |
| Resveratrol (50 mg/L) in drinking water to mother rats from pregnancy through lactation | Maternal adenine-induced CKD | SD rat/M | 12 weeks | Prevented hypertension | Hsu et al., 2020 [ |
| Resveratrol (50 mg/L) in drinking water to mother rats from pregnancy through lactation | Maternal TMAO and ADMA exposure | SD rat/M | 12 weeks | Prevented hypertension | Hsu et al., 2021 [ |
| Resveratrol (50 mg/L) in drinking water to mother rats from week 6 to week 12 | Pediatric adenine-induced CKD | SD rat/M | 12 weeks | Prevented renal dysfunction and hypertension | Hsu et al., 2021 [ |
| Resveratrol butyrate ester (25 mg/L or 50 mg/L) in drinking water to young rats from week 6 to week 12 | Pediatric adenine-induced CKD | SD rat/M | 12 weeks | Prevented renal dysfunction and hypertension | Hsu et al., 2021 [ |
| Daily oral gavage of garlic oil (100 mg/kg/day) to mother rats from pregnancy through lactation | Perinatal high-fat diet | SD rat/M | 16 weeks | Prevented hypertension | Hsu et al., 2021 [ |
| Postbiotics | |||||
| Magnesium acetate (200 mmol/L) in drinking water to mother rats from pregnancy through lactation | Maternal high-fructose diet | SD rat/M | 12 weeks | Prevented hypertension | Hsu et al., 2019 [ |
| 1% conjugated linoleic acid to mother rats from pregnancy through lactation | Maternal high-fat diet | SD rat/M | 18 weeks | Prevented hypertension | Gray et al., 2015 [ |
| Others | |||||
| 1% DMB in drinking water to mother rats from pregnancy through lactation | Maternal high-fructose diet | SD rat/M | 12 weeks | Prevented hypertension | Hsu et al., 2019 [ |
| 1% DMB in drinking water to mother rats from pregnancy through lactation | Maternal high-fructose diet and TCDD exposure | SD rat/M | 12 weeks | Prevented hypertension | Hsu et al., 2020 [ |
Studies tabulated according to types of intervention, animal models, and age at evaluation. TCDD = 2,3,7,8-tetrachlorodibenzo-p-dioxin; CKD = chronic kidney disease; TMAO = trimethylamine-N-oxide; ADMA = asymmetric dimethylarginine; SD = Sprague-Dawley rat; DMB = 3,3-maternal dimethyl-1-butanol.