ArticleIndian heart journal
Novel lipid biomarkers and associated gene polymorphism in young ST-segment elevation myocardial infarction.
Article in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 7 citations in OpenAlex.
- Anti-Inflammatory Therapies in Acute Coronary Syndromes-A Review of Immunological, Genetic, and Clinical Challenges for Precision Medicine.Journal of clinical medicine · 2026Review
- Article
- Comprehensive Quality Analysis of Conventional and Novel Biomarkers in Diagnosing and Predicting Prognosis of Coronary Artery Disease, Acute Coronary Syndrome, and Heart Failure, a Comprehensive Literature Review.Journal of cardiovascular translational research · 2024Review
- Relationship between the AGT M235T genetic variant and the characteristics and prognosis of coronary atherosclerosis in patients with acute myocardial infarction.Molecular biology reports · 2024Article
- Apolipoprotein B - An ideal biomarker for atherosclerosis?Indian heart journal · 2024Review
- Association ofGenes · 2023Article
- Lipoprotein(a) Is Associated with Thrombus Burden in Culprit Arteries of Younger Patients with ST-Segment Elevation Myocardial Infarction.Cardiology · 2023Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is an increasing prevalence of coronary artery disease (CAD) in younger individuals. Lipid biomarkers such as lipoprotein-a (Lp-a), Apo A1, Apo B and Paraoxonase-1 (PON1) serve as important risk predictors for development of CAD. There is little evidence regarding the role of lipid biomarkers and their genetic polymorphisms in young (<50 years) ST-segment elevation myocardial infarction (STEMI) patients.
methodsThis study included 110 young (18-50 years) STEMI patients and 110 healthy controls. Serum levels of Apo A1, Apo B, Paraoxonase-1 (PON-1) and Lipoprotein-associated phospholipase A2 (Lp-PLA2) were estimated for both patients as well as controls. Additionally, genetic polymorphisms in the Apo A1 (75G/A) and the PON1 (Q192R) genes were evaluated.
resultsSerum levels of apo B (101.31 ± 27.58 vs 75.31 ± 18.77 mg/dl; p < 0.0001), Lp(a) [87.56 ± 74.28 vs 25.81 ± 24.66 mg/dl, p < 0.0001] and Lp-PLA2 [5.97 ± 1.39 vs 3.49 ± 1.27 ng/mL, p < 0.0001] were significantly higher in patients as compared to controls. Serum levels of Apo A1 [44.76 ± 35.65 vs 95.97 ± 29.89; p < 0.0001] and PON1 [2.63 ± 1.5 vs 3.87 ± 1.47 ng/mL, p < 0.0001] were significantly lower in cases as compared with controls. Additionally, patients with genetic polymorphisms in the Apo A1 (75G/A) and the PON1 (Q192R) gene had an increased risk of STEMI.
conclusionLipid biomarkers such as Apo A1, Apo B and PON1 and their genetic polymorphism are associated with the susceptibility for STEMI in young individuals.
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.