Evidence map›Paper›PMID 30326477›Full record

ArticleAmerican journal of nephrology2018

Gut Microbial Product Predicts Cardiovascular Risk in Chronic Kidney Disease Patients.

Adil Jadoon, Anna V Mathew, Jaeman Byun, Crystal A Gadegbeku, Debbie S Gipson, Farsad Afshinnia, Subramaniam Pennathur, for the Michigan Kidney Translational Core CPROBE Investigator Group

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in American journal of nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

8 authors at 2 institutions in 1 country.

Adil JadoonDepartment of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Anna V MathewDepartment of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Jaeman ByunDepartment of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Crystal A GadegbekuDepartment of Internal Medicine-Nephrology, Temple University, Philadelphia, Pennsylvania, USA.
Debbie S GipsonDepartment of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA.
Farsad AfshinniaDepartment of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
Subramaniam PennathurDepartment of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
for the Michigan Kidney Translational Core CPROBE Investigator Group
University of Michigan–Ann Arbor · USTemple University · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joyce Lee · 2010 to 2026
$20.3M
Integrated Systems Biology Approach to Diabetic Microvascular ComplicationsR24DK082841 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABCOUWER, STEVEN F, BROSIUS, FRANK C · 2008 to 2020
$13.1M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PENNATHUR, SUBRAMANIAM · 2008 to 2022
$12.9M
Statistics and Bioinformatics Core - WangU24DK097153 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BURANT, CHARLES F · 2012 to 2017
$10.1M
Myeloperoxidase, Chronic Kidney Disease and AtherosclerosisK08HL130944 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MATHEW, ANNA VACHAPARAMPIL · 2016 to 2021
$893k
Prognostic Biomarkers in Chronic Kidney DiseaseK08DK106523 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AFSHINNIA, FARSAD · 2015 to 2019
$789k
NHLBI NIH HHS K08 HL130944NIDDK NIH HHS K08 DK106523NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK081943NIDDK NIH HHS P30 DK089503NIDDK NIH HHS R24 DK082841NIDDK NIH HHS U24 DK097153
6 · The paper itself

Abstract

backgroundThe gut microbiota is altered in patients with chronic kidney disease (CKD), and cardiovascular risk increases with progressive CKD. This study examined the potential link between short chain fatty acids (SCFAs), which are produced by the gut microbiota, and cardiovascular outcomes in patients with CKD.

methodsSCFAs were measured using a targeted liquid chromatography-mass spectrometry platform in baseline plasma samples from 214 patients with CKD enrolled in the Clinical Phenotyping Resource and Biobank Core; 81 patients with coronary artery disease (CAD) and 133 without CAD were randomly assigned to training and validation subsets. The primary outcome was a history of CAD and the secondary outcome was a composite history of cardiovascular disease (CVD) at enrollment.

resultsWe found significantly higher levels of the SCFA valerate among patients with CAD as compared with patients without CAD in the training set (p < 0.001). The valerate concentrations were also significantly higher among subjects with composite outcomes of CVD compared to those without CVD (p = 0.006). These results were subsequently replicated in the validation set. Logistic regression analysis revealed a strong independent association between plasma valerate levels and CVD in both training and validation sets. When valerate was added to the base clinical model comprising of diabetes, hypertension, urinary protein-creatinine ratio, and estimated glomerular filtration rate, it increased the c-statistics for predicting CVD from 0.68 to 0.79 (p = 0.02) in the training set, an observation which was confirmed in the validation set. -Conclusion: This study provides evidence for alterations in gut-microbiota-derived SCFAs with advancing CKD, demonstrates the association of higher plasma valerate levels with pre-existing CVD, and reveals areas for future exploration of cardiovascular risk in patients with CKD.

Indexed as

AdultAgedCoronary Artery DiseaseDisease ProgressionFemaleGastrointestinal MicrobiomeGlomerular Filtration RateHumansKidneyMaleMiddle AgedPentanoic AcidsPredictive Value of TestsPrognosisRenal Insufficiency, ChronicRisk Assessmentn-pentanoic acidPentanoic AcidsCardiovascular outcomesChronic kidney diseaseCoronary artery diseaseShort chain fatty acidsValerate

Identifiers

PMID30326477
PMCPMC6280192
OpenAlexW2897624730

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.