Evidence map›Paper›PMID 38910164›Full record

ArticleBiological trace element research2025

Plasma Ionomic Profile and Interaction Patterns in Coronary Artery Disease Patients.

Qing-Qing Zhao, Xian-Long Shu, Zhen Yuan, Qian Gao, Ying Huang, Yuan-Qing Yang, Li-Ming Peng, Guo Wang, Xiao-Ping Chen, Bi-Lian Chen and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Biological trace element research, 2025. 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

11 authors.

Qing-Qing Zhao *Department of Clinical Pharmacology, Xiangya Hospital; Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China.
Xian-Long Shu *Department of Clinical Pharmacology, Xiangya Hospital; Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China.
Zhen YuanNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, People's Republic of China.
Qian GaoDepartment of Clinical Laboratory Medicine, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China.
Ying HuangDepartment of Clinical Pharmacology, Xiangya Hospital; Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China.
Yuan-Qing YangDepartment of Blood Transfusion, the Second Xiangya Hospital of Central South University, No.139, Renmin Road, Changsha, 410011, People's Republic of China.
Li-Ming PengDepartment of Clinical Pharmacology, Xiangya Hospital; Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China.
Guo WangDepartment of Clinical Pharmacology, Xiangya Hospital; Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China.
Xiao-Ping ChenDepartment of Clinical Pharmacology, Xiangya Hospital; Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China.
Bi-Lian ChenNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, People's Republic of China. bilian18@csu.edu.cn.
Jie TangDepartment of Clinical Pharmacology, Xiangya Hospital; Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China. jietang@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans are exposed to various chemical elements that have been associated with the development and progression of diseases such as coronary artery disease (CAD). Unlike previous research, we employed a multi-element approach to investigate CAD patients and those with comorbid conditions such as diabetes (CAD-DM2), high blood pressure (CAD-HBP), or high blood lipids (CAD-HBL). Plasma concentrations of 21 elements, including lithium (Li), boron (B), aluminum (Al), calcium (Ca), titanium (Ti), vanadium (V), chromium (Cr), manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), selenium (Se), strontium (Sr), cadmium (Cd), tin (Sn), stibium (Sb), barium (Ba), and lead (Pb), were measured in CAD patients (n = 201) and healthy subjects (n = 110) using inductively coupled plasma-mass spectrometry (ICP-MS). Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) models were utilized to analyze the ionomic profiles. Spearman correlation analysis was employed to identify the interaction patterns among individual elements. We found that levels of Ba, Li, Ni, Zn and Pb were elevated in the CAD group compared to the healthy group, while Sb, Ca, Cu, Ti, Fe, and Se were lower. Furthermore, the CAD-DM2 group exhibited higher levels of Ni and Cd, while the CAD-HBP group showed lower levels of Co and Mn. In the CAD-HBL group, Ti was increased, whereas Ba, Cr, Cu, Co, Mn, and Ni were reduced. In conclusion, ionomic profiles can be utilized to differentiate CAD patients from healthy individuals, potentially providing insights for future treatment or dietary interventions.

Indexed as

Coronary Artery DiseaseTrace ElementsAgedFemaleHumansMaleMass SpectrometryMiddle AgedTrace ElementsCoronary artery diseaseElement interactionICP-MSIonomic profileOPLS-DA model

Identifiers

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.