Evidence map›Paper›PMID 30774576›Full record

ArticleInternational journal of probiotics & prebiotics2017

Metabolic profiling of a chronic kidney disease cohort reveals metabolic phenotype more likely to benefit from a probiotic.

Subodh J Saggi, Kelly Mercier, Jessica R Gooding, Eli Friedman, Usha Vyas, Natarajan Ranganathan, Pari Ranganathan, Susan McRitchie, Susan Sumner

Abstract read
In one paragraph

Article in International journal of probiotics & prebiotics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Dietary Supplementation WithFrontiers in veterinary science · 2020
    Article
  5. Article
  6. 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

9 authors at 3 institutions in 1 country.

Subodh J SaggiDivisions of Nephrology and Transplantation, SUNY Downstate Medical Center, 450 Clarkson Ave., Brooklyn, NY 11203, USA.
Kelly MercierNIH Eastern Regional Comprehensive Metabolomics Resource Core, RTI International, 3040 E Cornwallis Rd., Durham, NC 27709, USA.
Jessica R GoodingNIH Eastern Regional Comprehensive Metabolomics Resource Core, RTI International, 3040 E Cornwallis Rd., Durham, NC 27709, USA.
Eli FriedmanDivisions of Nephrology and Transplantation, SUNY Downstate Medical Center, 450 Clarkson Ave., Brooklyn, NY 11203, USA.
Usha VyasKibow Biotech Inc., 4781 West Chester Pike, Newtown Square, PA 19073, USA.
Natarajan RanganathanKibow Biotech Inc., 4781 West Chester Pike, Newtown Square, PA 19073, USA.
Pari RanganathanKibow Biotech Inc., 4781 West Chester Pike, Newtown Square, PA 19073, USA.
Susan McRitchieNIH Eastern Regional Comprehensive Metabolomics Resource Core, RTI International, 3040 E Cornwallis Rd., Durham, NC 27709, USA.
Susan SumnerNIH Eastern Regional Comprehensive Metabolomics Resource Core, RTI International, 3040 E Cornwallis Rd., Durham, NC 27709, USA.
RTI International · USKibow Biotech (United States) · USSUNY Downstate Health Sciences University · US

Funding

RTI's Regional Comprehensive Metabolomics Resource CenterU24DK097193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUMNER, SUSAN J · 2012 to 2017
$9.8M
Metabolic Regulators of Insulin Secretion and Insulin ResistanceK01GM109320 · NIGMS · RESEARCH TRIANGLE INSTITUTE · PI GOODING, JESSICA RENEE · 2013 to 2016
$394k
NIDDK NIH HHS U24 DK097193NIGMS NIH HHS K01 GM109320
6 · The paper itself

Abstract

scopePersistent reduction in Glomerular Filtration Rate (GFR) is a hallmark of Chronic Kidney Disease (CKD) and is associated with an elevation of Blood Urea Nitrogen (BUN). This metabolomics pilot study sought to identify metabolites that differentiated patients with CKD whose BUN decreased on a probiotic and possible mechanisms. METHODS AND

resultsMetabolomics was used to analyze baseline plasma samples previously diagnosed with CKD Stage III-IV. Patients had participated in a dose escalation study of the probiotic Renadyl™. A total of 24 samples were categorized depending on whether BUN increased or decreased from baseline after 4 months of probiotic use. Multivariate analysis was used to analyze the data and determine the metabolites that best differentiated the phenotypic groups. The sixteen patients who had a decrease in BUN were not significantly different based on demographic and clinical measures from those whose BUN increased or did not change with the exception of age. Eleven of the fourteen metabolites that differentiated the groups were known to be modulated by gut microflora, which may eventually provide a mechanistic link between probiotic and outcomes.

conclusionsMetabolomics revealed metabolites at baseline that may predict individuals with CKD that would most benefit from a probiotics.

Indexed as

BUNchronic kidney diseasemicrobial metabolismmultivariate analysisNMR metabolomicsprobiotics

Identifiers

PMID30774576
PMCPMC6377160
OpenAlexW2986335220

What OpenQuestion holds

Textmetadata
LicenceTDM
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.