Dear Editor,
The causal link between inflammatory bowel disease (IBD) and chronic kidney disease (CKD) is not clear; therefore, we aimed to investigate the role of gut microbiota in decreasing renal function in patients with IBD. IBD is characterized by the disruption of host–microbe relationships, and dysbiosis and the metabolites produced by the dysbiotic intestinal microbiome may negatively influence the renal function. 1 Indeed, epidemiological studies have shown that the prevalence of CKD is higher in individuals with ulcerative colitis (UC) compared to those without UC. 2 , 3
To reveal the connection between UC and CKD, we performed 16S ribosomal DNA sequencing using ileocecal mucosal samples from nine patients with both UC and CKD, 29 UC patients with normal renal function, and 12 healthy individuals who had normal colonoscopy results (Table S1; Figure S1). The patients with CKD showed estimated glomerular filtration rate (eGFR) values less than 60 mL/min/1.73 m2 for a minimum of 3 months.
The bacterial operational taxonomic units of patients in the UC + CKD group were decreased but were not significantly different from those of the UC or control group (Figure S2A>). Community richness, such as the Chao1 index and abundance‐based coverage estimator (ACE), was not different among the three groups (Figure S2B and C). However, the Shannon diversity index and the inverse Simpson diversity index were significantly decreased in the UC+CKD group compared to that in the control or UC group (Figure S2D and E), suggesting that the bacterial diversity was lower in the UC + CKD group. Additionally, eGFR was significantly positively correlated with the Shannon index and the inverse Simpson index (Table S2). The principal component analysis showed an overlap to some extent among the three groups, indicating similar bacterial community structures (Figure S2F).
Among six bacterial phyla which accounted for over 97% of taxonomy in the gut microbiota of the study population, Actinobacteria exhibited the highest relative abundance in the UC + CKD group (Figure 1A). In addition, Fusobacteria was detected in some individuals with UC (Figure 1B). At the genus and species level, 24 genera and 23 species showed a relative abundance of more than 1% (Figure 1C and D).
FIGURE 1.

The taxonomic composition of the gut microbiota of the study population and comparison of the 10 most abundant genera and species in the UC + CKD, UC, and control groups. (A, B) The taxonomic composition of each group (A) and individual samples (B) at the phylum level. (C) The genera with greater than 1% relative abundance. (D) The species with greater than 1% relative abundance. (E) At the genus level, the abundance of Ralstonia was significantly higher in the UC + CKD and UC groups than that in the control group. (F) At the species level, the abundances of Ralstonia_uc and Citrobacter portucalensis were significantly higher in the UC + CKD group compared to those in the other groups, whereas the abundance of Anaerostipes hadrus was significantly higher in the control group compared to that in the other groups. (G) Real‐time PCR on all available RNA samples extracted from colon biopsy samples in the UC + CKD and UC groups validated the higher abundance of Ralstonia pickettii in the UC + CKD group than that of the UC group with statistical significance. *p < 0.05; CKD, chronic kidney disease; UC, ulcerative colitis
Of the 10 genera that were relatively abundant in the study population, only Ralstonia showed a higher relative abundance in the UC + CKD and UC groups compared to that in the control group (Figure 1E). Furthermore, Ralstonia_uc (unclassified Ralstonia species) showed the highest relative abundance in the UC + CKD group (Figure 1F). Additional real‐time PCR on colon biopsy samples of UC + CKD and UC patients using primers specific for Ralstonia pickettii indeed validated the presence of the microbe only in the UC + CKD group (Figure 1G).
When the correlation of relative abundance of microbes with eGFR in the UC + CKD group was examined, the relative abundance of seven genera including Ralstonia and four species including Ralstonia_uc showed a negative correlation with eGFR (Figure 2A; Figure S3A; Table S3). Furthermore, the relative abundances of Ralstonia and Ralstonia_uc showed a positive correlation with the serum uric acid level (Figure 2B; Figure S3B), whereas relative abundances of Anaerostipes hadrus and Citrobacter portucalensis did not correlate with eGFR and serum uric acid level (Figure S3C–F).
FIGURE 2.

The correlation between the relative abundance of Ralstonia with renal function (indicated by eGFR) and serum uric acid level. (A, B) The relative abundance of Ralstonia_uc was negatively correlated with eGFR (CKD‐EPI) (A) and positively correlated with the serum uric acid level (B). Results of the UC + CKD group patients (red dots) and the UC group patients (green dots) were collectively analyzed
Among several species of the Ralstonia genus, we selected R. pickettii because it is a key member of the genus and implicated in human pathogenicity. 4 Among various inflammatory markers associated with the UC patients, three pro‐inflammatory cytokine genes were chosen to examine the effect of R. pickettii treatment on Caco‐2 cells. The treatment of Caco‐2 cells with R. pickettii induced the upregulation of mRNA levels of these pro‐inflammatory cytokines (IL1β, IL6, and TNF‐α) by at least twofold compared to that of the untreated control samples (Figure 3A). This suggests that R. pickettii contributed to the inflammation seen in an UC in vitro assay resembling the intestinal conditions of UC patients.
FIGURE 3.

Effects of Ralstonia pickettii on Caco‐2 cells and kidney organoids. (A) mRNA expression of pro‐inflammatory cytokine genes in Caco‐2 cells treated with and without Ralstonia pickettii, reflecting the inflammation seen in ulcerative colitis. (B) Schematic diagram of the co‐culture experiment. (C) Immunofluorescence staining of LTL, KIM‐1, and E‐cadherin in kidney organoids treated with and without Ralstonia pickettii. (D, E) Expression of acute injury (D) and renal marker (E) genes in the control and Ralstonia pickettii treated kidney organoids
To model the gut–kidney axis, we utilized a co‐culture of Caco‐2 cells and kidney organoids in a transwell system; the kidney organoids were not directly exposed to R. pickettii (Figure 3B). Kidney organoids were generated from human‐induced pluripotent stem cells as described previously. 5 Ralstonia‐treated kidney organoids presented markedly increased expression of KIM‐1 compared to the untreated control samples (Figure 3C). On the contrary, mildly decreased expression of proximal tubule marker, lotus tetragonolobus lectin (LTL), and distal tubule marker, E‐cadherin, was observed in R. pickettii treated kidney organoids compared to the untreated control samples, indicating damage within the kidney tubules (Figure 3C). Furthermore, transcriptional activation of KIM‐1 and CYR61 in the R. pickettii treated organoids was statistically significant (Figure 3D), and the expression of the renal markers ECAD, PAX8, and CALB was significantly decreased to 0.26‐, 0.23‐, and 0.38‐fold, respectively (Figure 3E). It is interesting that not only the acute kidney injury markers but also the structural markers were affected by Ralstonia treatment, indicating that virulence factors such as endotoxins can provoke renal dysfunction through the gut–kidney axis.
In this study, we found that the abundance of Ralstonia was significantly higher in the UC + CKD group at both the genus and species levels. The relative abundance of Ralstonia was positively correlated with serum uric acid level and negatively correlated with eGFR. Ralstonia is an aerobic, gram‐negative, nonfermentable rod, and an opportunistic pathogen that causes infections in immunocompromised hosts. Intestinal R. pickettii is associated with the significant increase in endotoxin levels and worsened glucose intolerance in obesity. 6 An increase in plasma endotoxin levels eventually results in systemic endotoxemia and chronic inflammation. 7 Endotoxemia is a characteristic of CKD and is associated with the CKD stage and decreased survival. 8
The limitations of this study include its cross‐sectional nature, relatively small number of patients, and relatively high variability in the microbial composition of each group. Additional studies with larger sample sizes might be necessary to confirm the findings of the present study. In addition, the results of this study will be strengthened by comparing the current data with those for the microbiome of patients with Crohn's disease and CKD, and CKD patients without IBD. Further studies are required regarding potential confounding factors such as contamination in the 16S rRNA microbiome studies. 9 In vitro studies utilizing clinical isolates of R. pickettii from fecal culture samples might also validate our findings.
In conclusion, the present study demonstrates a change in the microbial community in patients with UC and decreased renal function. R. pickettii was negatively correlated with renal function in individuals with UC and associated with kidney‐specific disruptive features especially under the inflamed colon, suggesting that R. pickettii might play an important role in the pathogenesis of CKD in UC.
CONFLICT OF INTEREST
All authors declare no conflict of interest.
Supporting information
Supporting information
ACKNOWLEDGMENTS
This study was supported by the Basic Science Research Program of the National Research Foundation of Korea (NRF) (MSIT; 2018R1A5A2025079 to H.Y.G.) and by a faculty research grant of the Department of Internal Medicine, Yonsei University College of Medicine for 2018 (to J.H.C.). The authors thank all individuals for their participation in this study. We thank Yonsei Advanced Imaging Center for assistance with the Carl Zeiss microscope.
Contributor Information
Jae Hee Cheon, Email: hygee@yuhs.ac.
Heon Yung Gee, Email: geniushee@yuhs.ac.
REFERENCES
- 1. Evenepoel P, Poesen R, Meijers B. The gut‐kidney axis. Pediatr Nephrol. 2017;32(11):2005‐2014. [DOI] [PubMed] [Google Scholar]
- 2. Lewis B, Mukewar S, Lopez R, Brzezinski A, Hall P, Shen B. Frequency and risk factors of renal insufficiency in inflammatory bowel disease inpatients. Inflamm Bowel Dis. 2013;19(9):1846‐1851. [DOI] [PubMed] [Google Scholar]
- 3. Vajravelu RK, Copelovitch L, Osterman MT, et al. Inflammatory bowel diseases are associated with an increased risk for chronic kidney disease, which decreases with age. Clin Gastroenterol Hepatol. 2020;18(10):2262‐2268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Ryan M, Pembroke J, Adley C. Ralstonia. In: Liu D, ed. Molecular Detection of Human Bacterial Pathogens. Boca Raton, FL: CRC Press; 2011:769‐778. [Google Scholar]
- 5. Morizane R, Lam AQ, Freedman BS, Kishi S, Valerius MT, Bonventre JV. Nephron organoids derived from human pluripotent stem cells model kidney development and injury. Nat Biotechnol. 2015;33(11):1193‐1200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Udayappan SD, Kovatcheva‐Datchary P, Bakker GJ, et al. Intestinal Ralstonia pickettii augments glucose intolerance in obesity. PLoS One. 2017;12(11):e0181693. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Ding LA, Li JS. Gut in diseases: physiological elements and their clinical significance. World J Gastroenterol. 2003;9(11):2385‐2389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. McIntyre CW, Harrison LEA, Eldehni MT, et al. Circulating Endotoxemia: a Novel Factor in Systemic Inflammation and Cardiovascular Disease in Chronic Kidney Disease. Clin J Am Soc Nephrol. 2011;6(1):133‐141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Salter SJ, Cox MJ, Turek EM, et al. Reagent and laboratory contamination can critically impact sequence‐based microbiome analyses. BMC Biol. 2014;12(1):87. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supporting information
