Evidence map›Paper›PMID 35170729›Full record

ArticleThe American journal of clinical nutrition2022

Quality of dietary carbohydrate is more important than its quantity in lipid peroxidation.

Yu Jiang, Yingya Zhao, Ginger Milne, Qi Dai, Qingxia Chen, Xianglan Zhang, Qing Lan, Nathaniel Rothman, Yu-Tang Gao, Qiuyin Cai and 3 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2022. 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
0.4field-weighted citation impact, top 52% 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

8 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. The Oxidative Stress: Origin and Role in Aging and Diseases.Antioxidants (Basel, Switzerland) · 2026
    Review
  4. Article
  5. Article
  6. Identification of novel FRedox biology · 2024
    Article
  7. Article
  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

13 authors at 4 institutions in 2 countries.

Yu JiangDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Yingya ZhaoDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Ginger MilneDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
Qi DaiDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Qingxia ChenDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Xianglan ZhangTennessee Department of Health, Nashville, TN, USA.
Qing LanDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA.
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA.
Yu-Tang GaoShanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Gong YangDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Vanderbilt University Medical Center · USDivision of Cancer Epidemiology and GeneticsRenji Hospital · CNTennessee Department of Health · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
Occupational and Environmental Determinants of Cancer among Women and MinoritiesZIACP010123 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI HOFMANN, JONATHAN · 2009 to 2025
$8.3M
Shanghai Womens Health StudyUM1CA182910 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2014 to 2018
$5.9M
Time-dependent and bidirectional effect of oxidative stress - a missing piece of the free radical theory of cancer and its potential implicationsR01CA237895 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHEN, QINGXIA, YANG, GONG · 2020 to 2025
$3.4M
Inflammatory Biomarkers and Colorectal Cancer RiskR01CA122364 · NCI · VANDERBILT UNIVERSITY · PI YANG, GONG · 2007 to 2010
$1.2M
Oxidative Stress, Antioxidants and Breast Cancer RiskR01CA106591 · NCI · VANDERBILT UNIVERSITY · PI DAI, QI · 2004 to 2007
$973k
NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA106591NCI NIH HHS R01 CA122364NCI NIH HHS R01 CA237895NCI NIH HHS UM1 CA182910
6 · The paper itself

Abstract

backgroundHigh glycemic index (GI) diets have been linked to elevated risk of cardiometabolic diseases. One possible underlying mechanism comes from high GI diet's potential to promote lipid peroxidation.

objectivesWe aim to evaluate whether and to what extent dietary carbohydrate quality and quantity are associated with systemic levels of lipid peroxidation in females.

methodsIn this cross-sectional analysis of 2163 middle-aged women, a subset of the Shanghai Women's Health Study, we measured lipid peroxidation biomarkers F2-isoprostanes (F2-IsoPs) and its metabolite, 2,3-dinor-5,6-dihydro-15-F2t-IsoP (F2-IsoP-M), in urine. The quality of carbohydrate was defined by dietary GI, assessed using a validated FFQ via in-person interviews. A multivariable linear regression model with restricted cubic spline functions was used to evaluate the association of measured biomarkers with carbohydrate intake and dietary GI.

resultsAfter adjustment for potential confounding factors such as cigarette smoking, BMI, and comorbidities, among others, we found that F2-IsoP-M concentrations were positively associated with both carbohydrate intake and dietary GI. Carbohydrate intake and dietary GI were weakly correlated (r = 0.12). When further mutually adjusted for the 2 factors, the positive association with F2-IsoP-M remained statistically significant for GI (P = 0.004) but not for carbohydrate intake (P = 0.50). Compared with those in the 10th percentile of dietary GI, fold increases (95% CI) in F2-IsoP-M concentrations for those in the 30th, 50th, 70th, and 90th percentiles were 1.03 (1.00, 1.07), 1.06 (1.01, 1.10), 1.09 (1.03, 1.14), and 1.13 (1.05, 1.21), respectively. Moreover, there appeared a threshold regarding the association between dietary GI and F2-IsoP-M concentrations, with the dose-effect slope of GI being 2.3 times greater when GI was ≥75 relative to GI <75.

conclusionsThis study provides evidence that the quality of dietary carbohydrate may be more important than the quantity of the intake with regard to systemic lipid peroxidation.

Indexed as

Dietary CarbohydratesOxidative StressBiomarkersChinaCross-Sectional StudiesF2-IsoprostanesFemaleHumansLipid PeroxidationMiddle AgedBiomarkersDietary CarbohydratesF2-Isoprostanesbiomarkercarbohydratesglycemic indexisoprostaneslipid peroxidation

Identifiers

PMID35170729
PMCPMC9257472
OpenAlexW4211257500

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.