Evidence map›Paper›PMID 30953049›Full record

ArticleAmerican journal of hypertension2019

Novel Metabolites Are Associated With Augmentation Index and Pulse Wave Velocity: Findings From the Bogalusa Heart Study.

Changwei Li, Jiang He, Shengxu Li, Wei Chen, Lydia Bazzano, Xiao Sun, Luqi Shen, Lirong Liang, Ye Shen, Xiaoying Gu and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of hypertension, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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

11 authors at 4 institutions in 2 countries.

Changwei LiDepartment of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, Georgia, USA.
Jiang HeDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Shengxu LiDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Wei ChenDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Lydia BazzanoDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Xiao SunDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Luqi ShenDepartment of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, Georgia, USA.
Lirong LiangClinical Epidemiology and Tobacco Dependence Treatment Research Department, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Ye ShenDepartment of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, Georgia, USA.
Xiaoying GuInstitute of Clinical Medical Science, China-Japan Friendship Hospital, Beijing, China.
Tanika N KellyDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Tulane University · USGeorgia College & State University · USCapital Medical University · CNChina-Japan Friendship Hospital · CN

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Leigh Lamonica · 2012 to 2026
$69.1M
Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Ning Liu · 2016 to 2026
$25.3M
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
NIA NIH HHS R01 AG041200NIA NIH HHS R21 AG051914NIGMS NIH HHS P20 GM109036NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

backgroundMetabolomics study may help identify novel mechanisms underlying arterial stiffening.

methodsWe performed untargeted metabolomics profiling among 1,239 participants of the Bogalusa Heart Study. After quality control, 1,202 metabolites were evaluated for associations with augmentation index (AI) and pulse wave velocity (PWV), using multivariate linear regression adjusting for age, sex, race, education, smoking, drinking, body weight, body height, physical activity, and estimated glomerular filtration rate. Heart rate, blood pressure and antihypertensive medication usage, lipids, and fasting glucose were sequentially adjusted in the sensitivity analyses for significant metabolites. Weighted correlation network analysis was applied to build metabolite networks.

resultsSix novel metabolites were negatively associated with AI, of which, 3-methyl-2-oxobutyrate had the lowest P value and the largest effect size (β = -6.67, P = 5.99 × 10-6). Heart rate contributed to a large proportion (25%-58%) of the association for each metabolite. Twenty-one novel metabolites were identified for PWV, of which, fructose (β = 0.61, P = 6.18 × 10-10) was most significant, and histidine had the largest effect size (β = -1.09, P = 2.51 × 10-7). Blood pressure played a major contribution (9%-54%) to the association for each metabolite. Furthermore, 16 metabolites were associated with arterial stiffness independent of traditional risk factors. Network analysis identified 2 modules associated with both AI and PWV (P < 8.00 × 10-4). One was composed of metabolites from the glycerolipids synthesis and recycling pathway, and the other was involved in valine, leucine, and isoleucine metabolism. One module related to sphingomyelin metabolism was associated with PWV only (P = 0.002).

conclusionsThis study has identified novel and important metabolites and metabolic networks associated with arterial stiffness.

Indexed as

Arterial PressureMetabolomicsPulse Wave AnalysisVascular StiffnessAdultBiomarkersBlack or African AmericanCross-Sectional StudiesFemaleHeart RateHumansHypertensionLouisianaMaleMiddle AgedPredictive Value of TestsBiomarkersarterial stiffnessblood pressurehypertensionmetabolite networksmetabolomics

Identifiers

PMID30953049
PMCPMC6508455
OpenAlexW2927616196

What OpenQuestion 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 OpenQuestion graph.