Mohammadtaghi Hedayati, Mohammadreza Zahmatkesh, Kamyar Amin, Hemmat Gholinia,
Volume 12, Issue 4 (12-2025)
Abstract
Introduction:Hypertrophic cardiomyopathy(HCM)is a common inherited disease that can lead to acute cardiac complications.Since uric acid level is recognized as a long-term predictor for some cardiac diseases,this study aimed to compare serum uric acid levels and other risk factors between patients with HCM and healthy individuals.
Methods:This cross-sectional study was conducted on100individuals referred to a cardiology clinic.Participants were divided into two groups of50:those diagnosed with hypertrophic cardiomyopathy and non-affected individuals,who were followed for one year.Patients were compared based on age, history of alcohol consumption,myocardial infarction,and measured uric acid levels.
Results:The study found that variables such as age(P<0.001), body mass index(BMI)(P=0.017), history of alcohol consumption(P=0.006),repeat percutaneous coronary intervention (PCI)(P=0.022),myocardial infarction(P=0.041),and cardiac-related death(P=0.003)were significantly associated with HCM patients compared to the control group. Overall, major adverse cardiac events(MACE)were also significantly linked to the case group(P<0.001).However,no significant association was found between uric acid levels and any of the variables.In the long-term analysis,smoking was the only factor that increased the risk of cardiovascular events by nearly27-fold.
Conclusion:The results indicated that age, history of alcohol consumption, and prior myocardial infarction are risk factors associated with HCM.Uric acid levels did not prove to be a predictor of cardiovascular events within one year in patients with hypertrophic cardiomyopathy.
Dr Laleh Malekmohammad, Prof Masoud Sheidai, Prof Farrokh Ghahremaninejad, Prof Afshin Danehkar, Dr Fahimeh Koohdar,
Volume 13, Issue 2 (4-2026)
Abstract
Phylogenetic analyses of Avicennia species have been carried out using diverse molecular datasets, including chloroplast genome sequences and multilocus nuclear gene markers. These studies have contributed valuable insights into evolutionary relationships within the genus and clarified its placement in the Acanthaceae family. Concatenated sequence datasets provide broader genomic information and can enhance the resolution and reliability of phylogenetic trees. In parallel, the multispecies coalescent (MSC) model offers a robust framework for addressing evolutionary questions such as estimating species divergence times, population sizes, species tree topologies despite gene tree discordance, interspecific gene flow, and species delimitation.The genus Avicennia L., comprising approximately eight species, represents a key group of mangrove plants, some of which occur along the southern coasts of Iran. However, considerable uncertainty remains regarding the molecular phylogeny of these species. Therefore, this study applies both MSC-based and concatenation-based phylogenetic approaches to investigate species relationships within Avicennia, using molecular data from nuclear ITS and chloroplast psbA sequences. We constructed species trees using BEAST (StarBEAST), performed gene-based analyses in Mesquite, and generated maximum likelihood trees. The results revealed two major divergent clades, with evidence of deep coalescence, interspecific introgression, and structural DNA variations, suggesting a complex evolutionary history within the genus.
