Evidence map›Paper›PMID 41275986›Full record

Trial reportJournal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation2026

Prebiotic Administration to Chronic Kidney Disease Patients Modifies Their Fecal Microbiome and Host Metabolism.

Dominic S Raj, Bei Gao, Michael B Sohn, Christopher Brydges, Anvesha Srivastava, Hamid Rabb, Alfred K Cheung, Oliver Fiehn, Cynthia Kendrick, Jennifer J Gassman and 8 more

Abstract readClinical Trial
In one paragraph

Trial report in Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Dominic S RajDivision of Renal Diseases and Hypertension, George Washington University, Washington, District of Columbia. Electronic address: draj@mfa.gwu.edu.
Bei GaoDivision of Renal Diseases and Hypertension, George Washington University, Washington, District of Columbia; School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China.
Michael B SohnDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York.
Christopher BrydgesUC Davis Genome Center - Metabolomics, University of California, Davis, California.
Anvesha SrivastavaDivision of Renal Diseases and Hypertension, George Washington University, Washington, District of Columbia.
Hamid RabbDivision of Nephrology, Johns Hopkins University, Baltimore, Maryland.
Alfred K CheungDivision of Nephrology & Hypertension, University of Utah, Salt Lake City, Utah.
Oliver FiehnUC Davis Genome Center - Metabolomics, University of California, Davis, California.
Cynthia KendrickDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio.
Jennifer J GassmanDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio.
Anam TariqDivision of Renal Diseases and Hypertension, George Washington University, Washington, District of Columbia.
Tamara IsakovaDivision of Nephrology and Hypertension, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Linda F FriedRenal Section, VA Pittsburgh Healthcare System and Renal-Electrolyte Division, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Myles WolfDivision of Nephrology, Duke University School of Medicine, Durham, North Carolina.
Kalani L RaphaelDivision of Nephrology & Hypertension, University of Utah, Salt Lake City, Utah.
John P MiddletonDivision of Nephrology, Duke University School of Medicine, Durham, North Carolina.
Yoosif AbdallaDivision of Renal Diseases and Hypertension, George Washington University, Washington, District of Columbia.
Pilot Studies in CKD Consortium

Funding

Data Coordinating Center for Pilot Studies of Candidate Therapies for CKDU01DK099877 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI GASSMAN, JENNIFER J · 2013 to 2018
$5.5M
A Novel Approach to Phosphorus Lowering in Patients with Chronic Kidney DiseaseU01DK097093 · NIDDK · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI IX, JOACHIM H · 2013 to 2017
$2.5M
Non-Coding RNA and CKD ProgressionR01DK125256 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI RAJ, DOMINIC S · 2020 to 2023
$2.3M
Gut Microbiota and Atherosclerosis in ESRDU01DK099914 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI RAJ, DOMINIC S · 2013 to 2017
$1.9M
Pilot Studies Targeting Mineral Metabolism in CKDU01DK099930 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ISAKOVA, TAMARA · 2013 to 2018
$1.8M
Anti-inflammatory Therapy in Diabetic CKDU01DK099924 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI RAJ, DOMINIC S · 2013 to 2018
$1.8M
Oral Sodium Bicarbonate to Slow Chronic Kidney Disease ProgressionU01DK099933 · NIDDK · UNIVERSITY OF UTAH · PI CHEUNG, ALFRED K, RAPHAEL, KALANI LUKELA · 2013 to 2018
$1.5M
NIDDK NIH HHS R01 DK125256NIDDK NIH HHS U01 DK097093NIDDK NIH HHS U01 DK099877NIDDK NIH HHS U01 DK099914NIDDK NIH HHS U01 DK099924NIDDK NIH HHS U01 DK099930NIDDK NIH HHS U01 DK099933
6 · The paper itself

Abstract

OBJECTIVE(S): Prebiotics are believed to improve gut microbial dysbiosis and dysmetabolism in chronic kidney disease (CKD) patients. However, impact of prebiotics on gut microbial metagenome and dynamic changes in metabolome has not been clearly defined.

methodsWe conducted a nonrandomized, open-label, three-phase pilot trial to investigate the effect of daily oral prebiotic, oligofructose-enriched inulin (p-inulin), on stool functional metagenome and changes in plasma, urine, and stool metabolites in 13 CKD patients. The study comprised a pretreatment phase (8 weeks), p-inulin treatment phase (12 weeks), and post-treatment phase (8 weeks).

resultsDuring treatment phase, there was a significant increase in the abundance of Bifidobacterium adolescentis, Bifidobacterium longum, and Lachnospiraceae species. Microbial pathways related to carbohydrate degradation and amino acid biosynthesis were enriched during the treatment phase, but urea biosynthetic pathway was attenuated. In plasma, metabolic biosynthetic pathways for valine, leucine, and isoleucine were activated during the treatment phase. Microbial genes related to lipid metabolism were enriched during post-treatment. Abundance of several polar and nonpolar lipids were altered in plasma and stool samples during treatment and post-treatment phases. Pathway analysis for lipids indicated suppression of triglyceride biosynthesis in plasma and enhanced triglyceride degradation in stool during the treatment phase. Secondary bile acid levels in plasma, urine, and stool were significantly reduced during p-inulin consumption. Urine levels of indoxyl sulfate and p-cresol sulfate were reduced during treatment phase. CONCLUSION(S): P-inulin administration to CKD patients resulted in a distinct shift in toxin-generating proteolysis to amino acid biosynthesis and favorable changes in lipid metabolism.

Indexed as

FecesGastrointestinal MicrobiomePrebioticsRenal Insufficiency, ChronicAgedAmino AcidsDysbiosisFemaleHumansInulinMaleMiddle AgedOligosaccharidesPilot ProjectsAmino AcidsInulinoligofructoseOligosaccharidesPrebioticsamino acid metabolismdysbiosislipid metabolismlipidome and deoxycholic acidp-inulinshort chain fatty acidsuremic toxins

Identifiers

PMID41275986
PMCPMC13640958

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.