Evidence map›Paper›PMID 33038060›Full record

ArticlePhysiological reports2020

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

Oleg Karaduta, Galina Glazko, Zeljko Dvanajscak, John Arthur, Samuel Mackintosh, Lisa Orr, Yasir Rahmatallah, Laxmi Yeruva, Alan Tackett, Boris Zybailov

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 22 citations in OpenAlex.

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  7. [Gut-derived uremic toxin trimethylamine-N-oxide in cardiovascular disease under end-stage renal disease: an injury mechanism and therapeutic target].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
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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

10 authors at 4 institutions in 1 country.

Oleg KaradutaDepartment of Biochemistry and Molecular Biology, UAMS, Little Rock, AR, USA.
Galina GlazkoDepartment of Biomedical Informatics, UAMS, Little Rock, AR, USA.
Zeljko DvanajscakArkana Laboratories, Little Rock, AR, USA.
John ArthurDivision of Nephrology, UAMS, Little Rock, AR, USA.
Samuel MackintoshDepartment of Biochemistry and Molecular Biology, UAMS, Little Rock, AR, USA.
Lisa OrrDepartment of Biochemistry and Molecular Biology, UAMS, Little Rock, AR, USA.
Yasir RahmatallahProteomics Core Facility, UAMS, Little Rock, AR, USA.
Laxmi YeruvaDepartment of Biochemistry and Molecular Biology, UAMS, Little Rock, AR, USA.
Alan TackettDepartment of Biochemistry and Molecular Biology, UAMS, Little Rock, AR, USA.
Boris ZybailovDepartment of Biochemistry and Molecular Biology, UAMS, Little Rock, AR, USA.ORCID 0000-0003-2432-9145
University of Arkansas Medical Center · USAbterra Biosciences (United States) · USArkana Laboratories · USArkansas Children's Hospital · US

Funding

Understanding Hesitant AdoptersP20GM103429 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI Lawrence E Cornett · 2012 to 2026
$60.9M
Translational Regulation in Normal Erythropoiesis and Diamond Blackfan AnemiaP20GM121293 · NIGMS · ARKANSAS CHILDREN'S HOSPITAL RES INST · PI Alan Tackett · 2017 to 2026
$27.6M
Biomarkers of Early Renal Functional Decline in Type 2 DiabetesR01DK101034 · NIDDK · UNIV OF ARKANSAS FOR MED SCIS · PI ARTHUR, JOHN M. · 2014 to 2017
$1.2M
Extracellular vesicles miRNA cargo induces inflammation during chlamydial infectionR21AI146521 · NIAID · ARKANSAS CHILDREN'S HOSPITAL RES INST · PI FERRUZZI, MARIO G · 2019 to 2020
$422k
CSR NIH HHS P20GM121293CSR NIH HHS R01DK101034NIAID NIH HHS R21 AI146521NIDDK NIH HHS R01 DK101034NIGMS NIH HHS P20 GM103429NIGMS NIH HHS P20 GM121293NIH HHS P20GM103429NIH HHS R21AI146521
6 · The paper itself

Abstract

backgroundResistant 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.

methodsEight 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.

resultsThe 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.

conclusionRS slows the progression of chronic kidney disease. Resistant starch supplementation leads to active bacterial proliferation and the reduction of harmful bacterial metabolites.

Indexed as

AnimalsBacteriaBlood Urea NitrogenDisease Models, AnimalDisease ProgressionGastrointestinal MicrobiomeKidneyMaleMiceRenal Insufficiency, ChronicResistant StarchResistant Starch5/6 nephrectomychronic kidney diseasemetaproteomicsmicrobiomemicrobiotaresistant starch

Identifiers

PMID33038060
PMCPMC7547583
OpenAlexW3092206876

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.