ArticleJournal of microbiology (Seoul, Korea)2022
Gut microbiota metabolic characteristics in coronary artery disease patients with hyperhomocysteine.
Article in Journal of microbiology (Seoul, Korea), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Unravelling the Gut Microbiome Role in Cardiovascular Disease: A Systematic Review and a Meta-Analysis.Biomolecules · 2024Pooled it
- Homocysteine, Nutrition, and Gut Microbiota: A Comprehensive Review of Current Evidence and Insights.Nutrients · 2025Review
- Serum homocysteine showed potential association with cognition and abnormal gut microbiome in major depressive disorder.World journal of psychiatry · 2025Article
- Novel opportunity of treatment for psycho-cardiologic disease by gut microbiome.Frontiers in cardiovascular medicine · 2025Review
- Gut CommensalReviews in cardiovascular medicine · 2024Article
- Homocysteine levels in first-episode patients with psychiatric disorders.Frontiers in psychiatry · 2024Article
- Association analysis of gut microbiota-metabolites-neuroendocrine changes in male rats acute exposure to simulated altitude of 5500 m.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hyperhomocysteine (HHcy) is known as a risk factor for coronary artery disease (CAD). Despite the knowledge that gut microbiota related metabolism pathway shares metabolites with that of Hcy, little has been shown concerning the association between HHcy and gut microbiota. To explore their relationship in the context of CAD, 105 patients and 14 healthy controls were recruited from one single medical center located in Beijing, China. Their serum and fecal samples were collected, with multi-omics analyses performed via LC/MS/MS and 16S rRNA gene V3-V4 region sequencing, respectively. Participants from the prospective cohort were divided into CAD, CAD & HHcy and healthy controls (HC) groups based on the diagnosis and serum Hcy concentration. The results revealed significant different metabolic signatures between CAD and CAD & HHcy groups. CAD patients with HHcy suffered a heavier atherosclerotic burden compared to CAD patients, and the difference was closely associated to betaine-homocysteine S-methyltransferase (BHMT)-related metabolites and trimethylamine N-oxide (TMAO)-related metabolites. Dimethylglycine (DMG) exhibited a strong positive correlation with serum total Hcy (tHcy), and TMAO and trimethylysine (TML) were associated with heavier atherosclerotic burden. Multiple other metabolites were also identified to be related to distinct cardiovascular risk factors. Additionally, Clostridium cluster IV and Butyricimonas were enriched in CAD patients with elevated tHcy. Our study suggested that CAD patients with elevated tHcy were correlated with higher atherosclerotic burden, and the impaired Hcy metabolism and cardiovascular risk were closely associated with BHMT-related metabolites, TMAO-related metabolites and impaired gut microbiota homeostasis.
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Registered trials
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.