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001-es BibID:	BIBFORM127922
035-os BibID:	(scopus)85213477202 (WoS)001385428000001
Első szerző:	Merzah, Mohammed
Cím:	Smoking-Associated Changes in Gene Expression in Coronary Artery Disease Patients Using Matched Samples / Merzah Mohammed, Póliska Szilárd, Balogh László, Sándor János, Fiatal Szilvia
Dátum:	2024
ISSN:	1467-3037 1467-3045
Megjegyzések:	Abstract: Smoking is a well known risk factor for coronary artery disease (CAD). However, the effects of smoking on gene expression in the blood of CAD subjects in Hungary have not been extensively studied. This study aimed to identify differentially expressed genes (DEGs) associated with smoking in CAD subjects. Eleven matched samples based on age and gender were selected for analysis in this study. All subjects were non-obese, non-alcoholic, non-diabetic, and non-hypertensive and had moderate to severe stenosis of one or more coronary arteries, confirmed by coronary angiography. Whole blood samples were collected using PAXgene tubes. Next-generation sequencing was employed using the NextSeq 500 system to generate high-throughput sequencing data for transcriptome profiling. The differentially expressed genes were analyzed using the R programming language. Results: The study revealed that smokers exhibited non-significant higher levels of total cholesterol, low-density lipoprotein-cholesterol, and triglycerides compared to non-smokers (p > 0.05), although high-density lipoprotein-cholesterol was also elevated. Despite this, the overall lipid profile of smokers remained less favorable. Non-smokers had a higher BMI (p = 0.02). Differential gene expression analysis identified 58 DEGs, with 38 upregulated in smokers. The key upregulated genes included LILRB5 (log2FC = 2.88, p = 1.05 ? 10?5) and RELN (log2FC = 3.31, p = 0.024), while RNF5_2 (log2FC = ?5.29, p = 0.028) and IGHV7-4-1_1 (log2FC = ?2.86, p = 0.020) were notably downregulated. Heatmap analysis showed a distinct clustering of gene expression profiles between smokers and non-smokers. However, GO analysis did not identify significant biological pathways associated with the DEGs. Conclusions: This research illuminates smoking's biological effects, aiding personalized medicine for predicting and treating smoking-related diseases.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk DEGs gene expression smoking coronary artery disease matched samples
Megjelenés:	Current Issues In Molecular Biology. - 46 : 12 (2024), p. 13893-13902. -
További szerzők:	Póliska Szilárd (1978-) (biológus) Balogh László (1976-) (kardiológus) Sándor János (1966-) (orvos-epidemiológus) Fiatal Szilvia (1978-) (epidemiológus, népegészségügyi szakember)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM114683
035-os BibID:	(WoS)001073617500001 (Scopus)85172771410
Első szerző:	Merzah, Mohammed
Cím:	A Transcriptomic Analysis of Smoking-Induced Gene Expression Alterations in Coronary Artery Disease Patients / Mohammed Merzah, Szilárd Póliska, László Balogh, János Sándor, István Szász, Shewaye Natae, Szilvia Fiatal
Dátum:	2023
ISSN:	1422-0067
Megjegyzések:	Abstract: Smoking is a well established risk factor for coronary artery disease (CAD). Despite this, there have been no previous studies investigating the effects of smoking on blood gene expression in CAD patients. This single-centre cross-sectional study was designed with clearly defined inclusion criteria to address this gap. We conducted a high-throughput approach using next generation sequencing analysis with a single-end sequencing protocol and a read length of 75-cycles. Sixty-one patients with a median age of 67 years (range: 28?88 years) were recruited, and only 44 subjects were included for further analyses. Our investigation revealed 120 differentially expressed genes (DEGs) between smokers and nonsmokers, with a fold change (FC) of ?1.5 and a p-value < 0.05. Among these DEGs, 15 were upregulated and 105 were downregulated. Notably, when applying a more stringent adjusted FC ? 2.0, 31 DEGs (5 upregulated, annotated to immune response pathways, and 26 downregulated, involving oxygen and haem binding or activity, with FDR ? 0.03) remained statistically significant at an alpha level of <0.05. Our results illuminate the molecular mechanisms underlying CAD, fortifying existing epidemiological evidence. Of particular interest is the unexplored overexpression of RCAN3, TRAV4, and JCHAIN genes, which may hold promising implications for the involvement of these genes in CAD among smokers.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk coronary artery disease gene expression smoking NGS RNAseq
Megjelenés:	International Journal Of Molecular Sciences. - 24 : 18 (2023), p. 1-14. -
További szerzők:	Póliska Szilárd (1978-) (biológus) Balogh László (1976-) (kardiológus) Sándor János (1966-) (orvos-epidemiológus) Szász István (1985-) (Ph.D hallgató) Natae, Shewaye (1982-) (PhD hallgató) Fiatal Szilvia (1978-) (epidemiológus, népegészségügyi szakember)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
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