Evidence map›Paper›PMID 31720858›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

Novel associations between blood metabolites and kidney function among Bogalusa Heart Study and Multi-Ethnic Study of Atherosclerosis participants.

Jovia L Nierenberg, Jiang He, Changwei Li, Xiaoying Gu, Mengyao Shi, Alexander C Razavi, Xuenan Mi, Shengxu Li, Lydia A Bazzano, Amanda H Anderson and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Serum and Urine Metabolites and Kidney Function.Journal of the American Society of Nephrology : JASN · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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

19 authors.

Jovia L NierenbergDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.ORCID 0000-0003-2376-6714
Jiang HeDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
Changwei LiDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
Xiaoying GuDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
Mengyao ShiDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
Alexander C RazaviDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
Xuenan MiDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
Shengxu LiDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
Lydia A BazzanoDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
Amanda H AndersonDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
Hua HeDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
Wei ChenDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
Jason M KinchenMetabolon, Inc., Morrisville, NC, USA.
Casey M RebholzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Andrew S LeveyDivision of Nephrology, Tufts Medical Center, Boston, MA, USA.
Lesley A InkerDivision of Nephrology, Tufts Medical Center, Boston, MA, USA.
Michael ShlipakDepartment of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA.
Tanika N KellyDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA. tkelly@tulane.edu.

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI JING CHEN · 2016 to 2026
$25.3M
Lifespan Cardiovascular Risk Exposures and Alzheimer-related brain health: Bogalusa Heart StudyRF1AG041200 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI BAZZANO, LYDIA, CARMICHAEL, OWEN T. · 2019 to 2022
$4.2M
The Role of Vascular Aging in Cognitive and Physical Function - Diversity SupplementR01AG041200 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI BAZZANO, LYDIA · 2012 to 2017
$2.9M
The Roles of the Microbiome and Metabolome in Vascular AgingR21AG051914 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI KELLY, TANIKA NICOLE · 2016 to 2017
$424k
National Institute on Aging of the NIH R01AG041200National Institute on Aging of the NIH R21AG051914NIA NIH HHS R01 AG041200NIA NIH HHS R21 AG051914NIA NIH HHS RF1 AG041200NIGMS NIH HHS P20 GM109036
6 · The paper itself

Abstract

introductionChronic kidney disease (CKD) is a major public health challenge given its high global prevalence and associated risks of cardiovascular disease and progression to end stage renal disease. Although it is known that numerous metabolic changes occur in CKD patients, identifying novel metabolite associations with kidney function may enhance our understanding of the physiologic pathways relating to CKD.

objectivesThe objective of this study was to elucidate novel metabolite associations with kidney function among participants of two community-based cohorts with carefully ascertained metabolomics, kidney function, and covariate data.

methodsUntargeted ultrahigh-performance liquid chromatography-tandem mass spectrometry was used to detect and quantify blood metabolites. We used multivariate adjusted linear regression to examine associations between single metabolites and creatinine-based estimated glomerular filtration rate (eGFRcr) among 1243 Bogalusa Heart Study (BHS) participants (median eGFRcr: 94.4, 5th-95th percentile: 66.0-119.6 mL/min/1.73 m

resultsFifty-one novel metabolite associations with kidney function were identified, including 12 from previously unrelated sub-pathways: N6-carboxymethyllysine, gulonate, quinolinate, gamma-CEHC-glucuronide, retinol, methylmalonate, 3-hydroxy-3-methylglutarate, 3-aminoisobutyrate, N-methylpipecolate, hydroquinone sulfate, and glycine conjugates of C

conclusionThe 51 novel metabolites identified may serve as early, clinically relevant, kidney function biomarkers.

Indexed as

AgedAged, 80 and overAtherosclerosisBiomarkersChromatography, LiquidCreatinineFemaleGlomerular Filtration RateHumansKidney Function TestsLongitudinal StudiesMaleMetabolomicsMiddle AgedRenal Insufficiency, ChronicBiomarkersCreatinineGlomerular filtration rateKidneyKidney diseaseMetabolomeMetabolomics

Identifiers

PMID31720858
PMCPMC7021455

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Registered trials

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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.