Afnan A Almuhanna, Chittibabu Vatte, Qian Guo, Tamer S Elsalamouni, Fahd A Al-Muhanna, Ameen M Aboalrihy, Hassan A Alhabib, Mohammed F Almomen, Rudaynah A Alali, Alawi H Habara, Mohammed A Alrubaish, Kaltham M Alfalah, Cyril Cyrus, Ibrahiem Saeed Abdul-Rahman, Brendan J Keating, Amein K Al-Ali, Chan Wang
{"title":"Gut microbiota in a Saudi population with chronic kidney disease.","authors":"Afnan A Almuhanna, Chittibabu Vatte, Qian Guo, Tamer S Elsalamouni, Fahd A Al-Muhanna, Ameen M Aboalrihy, Hassan A Alhabib, Mohammed F Almomen, Rudaynah A Alali, Alawi H Habara, Mohammed A Alrubaish, Kaltham M Alfalah, Cyril Cyrus, Ibrahiem Saeed Abdul-Rahman, Brendan J Keating, Amein K Al-Ali, Chan Wang","doi":"10.5527/wjn.v15.i2.118343","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The gut microbiota (GM) plays an important role in chronic kidney disease (CKD) progression, and dialysis modalities can differentially impact the GM composition and function. There is also limited information on the GM in Arab populations.</p><p><strong>Aim: </strong>To investigate the distinct microbial profiles and functional alterations associated with hemodialysis (HD) and peritoneal dialysis (PD) in a Saudi Arabian cohort.</p><p><strong>Methods: </strong>We performed whole-genome metagenomic sequencing on fecal samples from 189 participants (controls and CKD, HD, and PD patients).</p><p><strong>Results: </strong>We detected distinct microbial profiles across all patient groups compared with that of the controls. Microbial risk scores derived from differentially abundant taxa accurately distinguished CKD, PD, and HD patients from controls, with area under the curves exceeding 0.9. Compared with HD patients, PD patients exhibited reduced species richness, an increased abundance of opportunistic pathogens (particularly <i>Proteobacteria</i>), and increased virulence. Functional analysis revealed suppressed energy metabolism and activated proinflammatory pathways in PD patients. Cooccurrence network analysis demonstrated decreased microbial community resilience in PD patients, with increased <i>Proteobacteria</i> interactions. Conversely, the HD group showed partial recovery of microbial balance and beneficial metabolic functions, including increased short-chain fatty acid metabolism and reduced lipopolysaccharide biosynthesis.</p><p><strong>Conclusion: </strong>The findings of this study highlight the potential of the microbial profile as a robust biomarker for CKD classification and underscore the differential impacts of different dialysis modalities.</p>","PeriodicalId":94272,"journal":{"name":"World journal of nephrology","volume":"15 2","pages":"118343"},"PeriodicalIF":0.0000,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13324665/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World journal of nephrology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5527/wjn.v15.i2.118343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The gut microbiota (GM) plays an important role in chronic kidney disease (CKD) progression, and dialysis modalities can differentially impact the GM composition and function. There is also limited information on the GM in Arab populations.
Aim: To investigate the distinct microbial profiles and functional alterations associated with hemodialysis (HD) and peritoneal dialysis (PD) in a Saudi Arabian cohort.
Methods: We performed whole-genome metagenomic sequencing on fecal samples from 189 participants (controls and CKD, HD, and PD patients).
Results: We detected distinct microbial profiles across all patient groups compared with that of the controls. Microbial risk scores derived from differentially abundant taxa accurately distinguished CKD, PD, and HD patients from controls, with area under the curves exceeding 0.9. Compared with HD patients, PD patients exhibited reduced species richness, an increased abundance of opportunistic pathogens (particularly Proteobacteria), and increased virulence. Functional analysis revealed suppressed energy metabolism and activated proinflammatory pathways in PD patients. Cooccurrence network analysis demonstrated decreased microbial community resilience in PD patients, with increased Proteobacteria interactions. Conversely, the HD group showed partial recovery of microbial balance and beneficial metabolic functions, including increased short-chain fatty acid metabolism and reduced lipopolysaccharide biosynthesis.
Conclusion: The findings of this study highlight the potential of the microbial profile as a robust biomarker for CKD classification and underscore the differential impacts of different dialysis modalities.