Evidence map›Paper›PMID 39722019›Full record

ArticleBMC public health2024

Terpene mixtures and metabolic syndrome in the US general population: exploring the mediating role of insulin resistance.

Dan'an Wang, Wei Zhang, Zhenni Zhao, Duanbin Li, Yuan Fang, Zijie Wang, Jingyi Lv, Yi Luan, Wenbin Zhang

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Dan'an Wang *Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, 3 East Qingchun Road, Hangzhou, Zhejiang, 310000, People's Republic of China.
Wei Zhang *Department of Cardiology, Lishui People's Hospital, The Six Affiliated Hospital of Wenzhou Medical University, Zhejiang Province, Lishui, Zhejiang, 323000, People's Republic of China.
Zhenni Zhao *Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310000, People's Republic of China.
Duanbin LiDepartment of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, 3 East Qingchun Road, Hangzhou, Zhejiang, 310000, People's Republic of China.
Yuan FangSchool of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310000, People's Republic of China.
Zijie WangSchool of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310000, People's Republic of China.
Jingyi LvSchool of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310000, People's Republic of China.
Yi LuanDepartment of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, 3 East Qingchun Road, Hangzhou, Zhejiang, 310000, People's Republic of China. ryan.1218@aliyun.com.
Wenbin ZhangDepartment of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, 3 East Qingchun Road, Hangzhou, Zhejiang, 310000, People's Republic of China. 3313011@zju.edu.cn.

Funding

the Medical Health Science and Technology Project of Zhejiang Provincial Health Commission 2021RC014the National Natural Science Foundation of China 82070408the Traditional Chinese Medicine Science and Technology Project of Zhejiang Province 2021ZB172
6 · The paper itself

Abstract

backgroundTerpenes have been shown to have an effect on metabolic status. However, it is unclear how they are associated with the metabolic syndrome (MetS) and whether insulin resistance (IR) mechanisms are involved.

methodsThis cross-sectional study included data from the National Health and Nutrition Examination Survey (2013-2014). Serum terpenes (α- pinene, β- pinene, and limonene) were quantified by gas chromatography-tandem mass spectrometry. MetS was diagnosed by lipid, glucose, blood pressure, and waist circumference criteria. IR status was assessed using the homeostasis model assessment of insulin resistance (HOMA-IR) model and triglyceride-glucose index. Regression analysis models, mixed-effects models (weighted quantile sum regression models, quantile g-computation and Bayesian Kernel machine regression models), and mediation analysis were used for analysis.

resultsAmong 1563 U.S. general population (mean age 39.0 years), 447 (28.6%) had a diagnosis of MetS, and the median concentration was 0.08 ng/mL for α- pinene, 0.08 ng/mL for β- pinene, and 1.18 ng/mL for limonene. The terpene mixture showed positive joint association with MetS (OR = 1.454, 95%CI = 1.153, 1.833) and HOMA-IR (β = 0.569, 95%CI = 0.196, 0.942), with limonene contributing relatively large weights in both MetS (41.1%) and HOMA-IR (68.9%). Furthermore, HOMA-IR was positively associated with MetS (OR = 2.299, 95%CI = 1.888, 2.817) and its diagnostic components. When identified as a mediator, HOMA-IR accounted for approximately 15.8%, 20.0%, and 14.3% of the indirect effects between terpenes (α- pinene, β- pinene, and limonene) and MetS, respectively. The results were consistent when the IR biomarker was replaced by triglyceride-glucose index.

conclusionSerum terpenes were positively associated with MetS, which might be partially mediated by the mechanism of IR.

Indexed as

Insulin ResistanceMetabolic SyndromeNutrition SurveysTerpenesAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited StatesTerpenesHigh triglyceridesInsulin resistanceMediationMetabolic syndromeTerpenes

Identifiers

PMID39722019
PMCPMC11670457

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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.