Evidence map›Paper›PMID 42078196›Full record

ReviewMedical review (2021)2026

Metabolic reprogramming in aortic diseases: insights from metabolomics and therapeutic opportunities.

Yingjie Liu, Linlu Zhao, Chi Zhang, Xiao Ruan, Hualong Yu, Yangpo Cao, Wenhao Ju, Haocheng Lu

Abstract readReview
In one paragraph

Review in Medical review (2021), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

8 authors.

Yingjie LiuDepartment of Pharmacology, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Linlu ZhaoCollege of Pharmacy, Hainan Medical University, Haikou, Hainan, China.
Chi ZhangDepartment of Pharmacology, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Xiao RuanDepartment of Pharmacology, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Hualong YuDepartment of Pharmacology, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Yangpo CaoDepartment of Pharmacology, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Wenhao JuNational Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Haocheng LuSchool of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China.ORCID https://orcid.org/0000-0002-5740-8010

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic diseases (aortic aneurysm, aortic dissection, atherosclerosis) represent a substantial clinical and economic burden due to the lack of effective early diagnostic tools and mechanism-based therapies. Metabolomics, the systematic study of low-molecular-weight metabolites, has emerged as a powerful approach for elucidating pathogenesis, screening candidate biomarkers, and discovering novel drug targets. Rather than merely cataloging metabolic perturbations, this review highlights how metabolic reprogramming, particularly involving amino acid pathways, mitochondrial dysfunction, and gut microbiota-derived metabolites, actively drives aortic pathology. While specific metabolites (e.g., succinate and trimethylamine N-oxide) show promises as prognostic biomarkers, their greatest value lies in revealing actionable therapeutic nodes. Although challenges remain regarding metabolite identification, biological heterogeneity, and clinical translation, continued technological advances and integrative multi-omics approaches offer clear pathways to overcome these barriers. Ultimately, we posit that prioritizing these convergent metabolic axes, especially the gut-vascular interface, could unlock next-generation precision therapies that transcend the limitations of conventional hemodynamic management.

Indexed as

aortic aneurysmaortic dissectionatherosclerosismetabolomicstherapeutic targets

Identifiers

PMID42078196
PMCPMC13134699

What OpenQuestion holds

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Registered trials

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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.