Resistant starch slows the progression of CKD in the 5/6 nephrectomy mouse model

peer-reviewed · Physiological Reports · 2020

peer-reviewed · Physiological Reports · 2020. Oleg Karaduta et al. Background Resistant Starch (RS) improves CKD outcomes. In this report, we study how RS modulates…
Date 2020-10-01
Type peer-reviewed
Venue Physiological Reports
Publisher Wiley
Contribution downstream-application
DOI 10.14814/phy2.14610
Citations (OpenAlex) 24

Abstract

Background Resistant Starch (RS) improves CKD outcomes. In this report, we study how RS modulates host-microbiome interactions in CKD by measuring changes in the abundance of proteins and bacteria in the gut. In addition, we demonstrate RS-mediated reduction in CKD-induced kidney damage. Methods Eight mice underwent 5/6 nephrectomy to induce CKD and eight served as healthy controls. CKD and Healthy (H) groups were further split into those receiving RS (CKDRS, n = 4; HRS, n = 4) and those on normal diet (CKD, n = 4, H, n = 4). Kidney injury was evaluated by measuring BUN/creatinine and by histopathological evaluation. Cecal contents were analyzed using mass spectrometry-based metaproteomics and de novo sequencing using PEAKS. All the data were analyzed using R/Bioconductor packages. Results The 5/6 nephrectomy compromised kidney function as seen by an increase in BUN/creatinine compared to healthy groups. Histopathology of kidney sections showed reduced tubulointerstitial injury in the CKDRS versus CKD group; while no significant difference in BUN/creatinine was observed between the two CKD groups. Identified proteins point toward a higher population of butyrate-producing bacteria, reduced abundance of mucin-degrading bacteria in the RS fed groups, and to the downregulation of indole metabolism in CKD groups. Conclusion RS slows the progression of chronic kidney disease. Resistant starch supplementation leads to active bacterial proliferation and the reduction of harmful bacterial metabolites.

Authors

  1. Oleg Karaduta · University of Arkansas Medical Center, University of Arkansas for Medical Sciences
  2. Galina Glazko · University of Arkansas Medical Center, University of Arkansas for Medical Sciences
  3. Zeljko Dvanajscak · Arkana Laboratories
  4. John Arthur · University of Arkansas Medical Center, University of Arkansas for Medical Sciences
  5. Samuel Mackintosh · University of Arkansas Medical Center, University of Arkansas for Medical Sciences
  6. Lisa Orr · University of Arkansas Medical Center, University of Arkansas for Medical Sciences
  7. Yasir Rahmatallah · University of Arkansas Medical Center, University of Arkansas for Medical Sciences
  8. Laxmi Yeruva · Arkansas Children’s Nutrition Center, University of Arkansas Medical Center, University of Arkansas for Medical Sciences
  9. Alan Tackett · Arkansas Children’s Research Institute, University of Arkansas Medical Center, University of Arkansas for Medical Sciences
  10. Boris Zybailov · University of Arkansas Medical Center, University of Arkansas for Medical Sciences

Methods and tools

  • CKD mouse cecal metaproteome with resistant starch: Cecal metaproteomics of 5/6 nephrectomy mice fed resistant starch, where PEAKS de novo peptides above 80% ALC were submitted to Unipept to profile the bacterial taxa, alongside database identification.

Methods it uses

  • PEAKS: Commercial DP-based de novo

Data deposited

  • Investigation of Resistant Starch effect on gut microbiome in 5/6 nephrectomy mouse model of Chronic Kidney Disease — as deposited · PXD019623

Cites (1)

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