Evidence map›Paper›PMID 39076513›Full record

ArticleFrontiers in endocrinology2024

Metabolomics and network pharmacology exploration of the effects of bile acids on carotid atherosclerosis and potential underlying mechanisms.

Xing Cheng, Ruijing Zhang, Xiaotong Qi, Heng Wang, Tingting Gao, Lin Zheng, Maolin Qiao, Yaling Li, Siqi Gao, Jinshan Chen and 3 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
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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.

Xing Cheng *Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Ruijing Zhang *Department of Nephrology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Xiaotong QiDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Heng WangDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Tingting GaoDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Lin ZhengDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Maolin QiaoDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Yaling LiDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Siqi GaoDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Jinshan ChenDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Runze ChangDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Guoping ZhengCentre for Transplantation and Renal Research, University of Sydney at Westmead Millennium Institute, Westmead, NSW, Australia.
Honglin DongDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bile acids (BAs), products of gut microbiota metabolism, have long been implicated in atherosclerotic disease pathogenesis. Characterizing the serum bile acid profile and exploring its potential role in carotid atherosclerosis (CAS) development are crucial tasks. Methods: In this study, we recruited 73 patients with CAS as the disease group and 77 healthy individuals as the control group. We systematically measured the serum concentrations of 15 bile acids using ultrahigh-performance liquid chromatography-mass spectrometry (UPLC-MS/MS). Multivariate logistic regression and least absolute shrinkage and selection operator (LASSO) regression were applied to analyze the impact of bile acids on the disease and select the key BAs. The possible molecular mechanism was elucidated by network pharmacology. Results: (1) The BA profile of patients with CAS significantly differed. (2) Multifactorial logistic regression analysis identified elevated levels of GCDCA (OR: 1.01, P < 0.001), DCA (OR: 1.01, P = 0.005), and TDCA (OR: 1.05, P = 0.002) as independent risk factors for CAS development. Conversely, GCA (OR: 0.99, P = 0.020), LCA (OR: 0.83, P = 0.002), and GUDCA (OR: 0.99, P = 0.003) were associated with protective effects against the disease. GCA, DCA, LCA, and TDCA were identified as the four key BAs. (3) TNF, FXR, GPBAR1, ESR1 and ACE were predicted to be targets of BAs against AS. These four BAs potentially impact AS progression by triggering signaling pathways, including cAMP, PPAR, and PI3K-AKT pathways, via their targets. Conclusion: This study offers valuable insights into potential therapeutic strategies for atherosclerosis that target bile acids.

Indexed as

Bile Acids and SaltsCarotid Artery DiseasesMetabolomicsNetwork PharmacologyAgedBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedReceptors, G-Protein-CoupledTandem Mass SpectrometryBile Acids and SaltsBiomarkersGPBAR1 protein, humanReceptors, G-Protein-Coupledatherosclerosisbile acidmetabolomicsnetwork pharmacologyUPLC-MS/MS

Identifiers

PMID39076513
PMCPMC11284041

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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.