ArticleGalen medical journal2020
Introducing Serine as Cardiovascular Disease Biomarker Candidate via Pathway Analysis.
Article in Galen medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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
5 citing papers in PubMed, 5 citations in OpenAlex.
- In Silico Systems Biology Approach for Prioritization of Candidate Genes Linked to Lipid Metabolism in the Context of Cardiovascular Disease Susceptibility in a Serbian Cohort.Current issues in molecular biology · 2026Article
- Gene Ontology Assessment of Indirect Cold Physical Plasma and UV-Radiation Molecular Mechanism at the Cellular Level.Journal of lasers in medical sciences · 2023Article
- Introducing physical exercise as a potential strategy in liver cancer prevention and development.Gastroenterology and hepatology from bed to bench · 2021Article
- Assessment of the Microbiome Role in Skin Protection Against UV Irradiation Via Network Analysis.Journal of lasers in medical sciences · 2020Article
- Highlighted role of "IL17 signaling pathway" in gastroesophageal reflux disease.Gastroenterology and hepatology from bed to bench · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe rate of death due to cardiovascular disease (CVD) is growing. Investigations about CVD that leading to introduce varieties of metabolites is available. The monitoring of these metabolites to find effective ones in the future of clinic applications is the main aim of this study. MATERIALS AND
methodsNumbers of 34 metabolites for the CVD are extracted from literature and designated for interaction determinations by MetScape V 3.1.3. The compound-reaction-enzyme-gene network was constructed and the pathways were analyzed. Based on the presence of metabolites in the pathways the critical compounds were determined.
resultsPathway analysis revealed 18 disturbed pathways related to the CVD. glycerophospholipid metabolism pathway including 27 compounds is related to the 9 queried metabolites. L-Serine which was communed between 5 pathways and also was presented in the largest pathway was identified as the critical compound.
conclusionIt can be concluded that L-Serine is a proper biomarker candidate for CVD diagnosis and also patients follow up approaches.
Indexed as
Identifiers
What OpenQuestion holds
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.