Evidence map›Paper›PMID 41202661›Full record

Trial reportClinical nutrition (Edinburgh, Scotland)2025

Associations of plasma inosine with lipid parameters in a biracial community cohort.

Yixi Sun, Ruiyuan Zhang, Ling Tian, Tingting Liu, Yang Pan, Xiao Sun, Zhijie Huang, Jia Fan, Jing Chen, Kai Zhang and 7 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical nutrition (Edinburgh, Scotland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00107744 (Clinical Trial of Protein and Blood Pressure), which is not on this map. Not yet cited in PubMed.

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

NCT00107744 nacompletednot on this map

Clinical Trial of Protein and Blood Pressure

TypeinterventionalSponsorTulane UniversityRan2003 to 2008Enrolled352ConditionsHypertension, HypercholesterolemiaArmsSoy protein-milk protein-carbohydrate, Milk protein-carbohydrate-soy protein, Carbohydrate-soy protein-milk protein
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Yixi SunDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois Chicago, Chicago, IL, USA; Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, University of Illinois Chicago, Chicago, IL, USA.
Ruiyuan ZhangO'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, USA.
Ling TianDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Tingting LiuCollege of Nursing, Florida State University, Tallahassee, FL, USA.
Yang PanDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, University of Illinois Chicago, Chicago, IL, USA.
Xiao SunDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, University of Illinois Chicago, Chicago, IL, USA.
Zhijie HuangO'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, USA.
Jia FanDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Jing ChenO'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, USA.
Kai ZhangDepartment of Population and Community Health, College of Public Health, The University of North Texas Health Science Center at Fort Worth, Fort Worth, TX, USA.
Shengxu LiChildren's Minnesota Research Institute, Children's Minnesota, Minneapolis, MN, USA.
Wei ChenDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Lydia A BazzanoDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Jiang HeO'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, USA.
Joshua D BundyO'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, USA.
Tanika N KellyDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, University of Illinois Chicago, Chicago, IL, USA.
Changwei LiO'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, USA. Electronic address: changwei.li@utsouthwestern.edu.

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI JING CHEN · 2016 to 2026
$25.3M
Application of a novel polygenic risk score to the study of diabetic cardiomyopathy in diverse populationsR21HL161718 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI LI, CHANGWEI · 2022 to 2023
$244k
NHLBI NIH HHS R21 HL161718NIGMS NIH HHS P20 GM109036
6 · The paper itself

Abstract

backgroundInosine has been investigated as a dietary supplement for athlete performance, inflammation, and neurological disease. A recent study in a hypercholesterolemic rat model has shown its potential for treating atherosclerosis.

objectiveThis study aimed to investigate the associations between plasma inosine and lipid parameters, and to discover potential mediating pathways.

methodsWe profiled inosine and 886 known metabolites in plasma samples from 1,121 participants of a biracial cohort. Linear regression models assessed inosine's association with total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), log transformed triglycerides (log-TG), and TC to HDL-C ratio (TC/HDL-C), adjusting for relevant covariates. Significant findings were replicated in 78 adults from the Protein and Blood Pressure (ProBP) study, a cross-over randomized control trial by testing longitudinal associations between inosine changes and lipid changes after dietary supplementation of soy protein, milk protein, and carbohydrates. For a replicated association, we employed two complementary approaches to identify potential mediators for enrichment analysis.

resultsIn the discovery cohort, inosine was positively associated with HDL-C (β = 1.77, 95 % confidence interval [CI]: 0.003 to 3.54) and negatively associated with TC/HDL-C (β = -0.24, 95 % CI: -0.41 to -0.08) and log-TG (β = -0.08, 95 % CI: -0.15 to -0.02). These results were replicated in ProBP after soy protein intervention with inosine changes leading to increase of HDL-C (β = 1.82, 95 % CI: 0.36 to 3.27) and decrease of TC/HDL-C (β = -0.14, 95 % CI:-0.28 to -0.002) and TG (β = -12.79, 95 % CI: -21.00 to -4.58). Sex-stratified analyses revealed a more pronounced association in women than men, particularly for HDL-C. Six metabolites and 29 enriched pathways of high confidence were identified.

conclusionIn humans, inosine is associated with better profiles of HDL-C, TC/HDL-C, and log-TG, with more pronounced effects in women for HDL-C. The ProBP trial was registered at ClinicalTrials.gov as NCT00107744.

Indexed as

InosineLipidsAdultAgedCholesterolCholesterol, HDLCholesterol, LDLCohort StudiesCross-Over StudiesDietary SupplementsFemaleHumansMaleMiddle AgedTriglyceridesCholesterolCholesterol, HDLCholesterol, LDLInosineLipidsTriglyceridesCholesterolHDL cholesterolInosineLipid metabolismTriglyceride

Identifiers

PMID41202661
PMCPMC13211977

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Registered trials

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.