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001-es BibID:	BIBFORM114677
035-os BibID:	(cikkazonosító)10281 (scopus)85164039480 (wos)001015071200001
Első szerző:	Pikó Péter (biológus)
Cím:	Association of CETP Gene Polymorphisms and Haplotypes with Cardiovascular Risk / Piko Peter, Jenei Tibor, Kosa Zsigmond, Sandor Janos, Kovacs Nora, Seres Ildiko, Paragh Gyorgy, Adany Roza
Dátum:	2023
ISSN:	1422-0067
Megjegyzések:	Cholesteryl ester transfer protein (CETP) is known to influence HDL-C levels, potentially altering the profile of HDL subfractions and consequently cardiovascular risk (CVR). This study aimed to investigate the effect of five single-nucleotide polymorphisms (SNPs; rs1532624, rs5882, rs708272, rs7499892, and rs9989419) and their haplotypes (H) in the CETP gene on 10-year CVR estimated by the Systematic Coronary Risk Evaluation (SCORE), the Framingham Risk Score for Coronary Heart Disease (FRSCHD) and Cardiovascular Disease (FRSCVD) algorithms. Adjusted linear and logistic regression analyses were used to investigate the association of SNPs and 10 haplotypes (H1-H10) on 368 samples from the Hungarian general and Roma populations. The T allele of rs7499892 showed a significant association with increased CVR estimated by FRS. H5, H7, and H8 showed a significant association with increased CVR based on at least one of the algorithms. The impact of H5 was due to its effect on TG and HDL-C levels, while H7 showed a significant association with FRSCHD and H8 with FRSCVD mediated by a mechanism affecting neither TG nor HDL-C levels. Our results suggest that polymorphisms in the CETP gene may have a significant effect on CVR and that this is not mediated exclusively by their effect on TG and HDL-C levels but also by presently unknown mechanisms.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Framingham Risk Score HDL subfraction profile Systematic Coronary Risk Evaluation cholesteryl ester transfer protein haplotype high-density lipoprotein cholesterol single-nucleotide polymorphism
Megjelenés:	International Journal Of Molecular Sciences. - 24 : 12 (2023), p. 1-16. -
További szerzők:	Jenei Tibor (1963-) (programtervező informatikus) Kósa Zsigmond (1953-) (orvos) Sándor János (1966-) (orvos-epidemiológus) Kovács Nóra (1989-) (népegészségügyi szakember) Seres Ildikó (1954-) (biokémikus) Paragh György (1953-) (belgyógyász) Ádány Róza (1952-) (megelőző orvostan és népegészségtan szakorvos)
Pályázati támogatás:	GINOP-2.3.2-15-2016-00005 GINOP 135784 OTKA TK2016-78 Egyéb TKCS-2021/32 Egyéb ÚNKP-22-4-II-DE-268 Egyéb RRF-2.3.1-21-2022-00006 Egyéb
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001-es BibID:	BIBFORM114678
035-os BibID:	(cikkazonosító)13563 (scopus)85170209245 (wos)001060602800001
Első szerző:	Pikó Péter (biológus)
Cím:	Association of HDL Subfraction Profile with the Progression of Insulin Resistance / Piko Peter, Jenei Tibor, Kosa Zsigmond, Sandor Janos, Kovacs Nora, Seres Ildiko, Paragh Gyorgy, Adany Roza
Dátum:	2023
ISSN:	1422-0067
Megjegyzések:	Type 2 diabetes mellitus (T2DM) is a major global public health problem, as it is associated with increased morbidity, mortality, and healthcare costs. Insulin resistance (IR) is a condition characterized by disturbances in carbohydrate and lipid metabolism that precedes T2DM. The aim of the present study was to investigate the association between HDL and its subfraction profile and the progression of IR, as assessed by the Homeostatic Model Assessment for IR (HOMA-IR) index, and to define cut-off values to identify an increased risk of IR. Individuals with a HOMA-IR greater than 3.63 were considered to have IR. The HDL subfractions were separated using the Lipoprint system, which identifies ten subfractions (HDL-1-10) in three subclasses as large (HDL-L), intermediate (HDL-I) and small (HDL-S). Analyses were performed on samples from 240 individuals without IR and 137 with IR from the Hungarian general and Roma populations. The HDL-1 to -6 subfractions and the HDL-L and -I classes showed a significant negative association with the progression and existence of IR. Among them, HDL-2 (B = -40.37, p = 2.08 ? 10-11) and HDL-L (B = -14.85, p = 9.52 ? 10-10) showed the strongest correlation. The optimal threshold was found to be 0.264 mmol/L for HDL-L and 0.102 mmol/L and above for HDL-2. Individuals with HDL-L levels below the reference value had a 5.1-fold higher risk of IR (p = 2.2 ? 10-7), while those with HDL-2 levels had a 4.2-fold higher risk (p = 3.0 ? 10-6). This study demonstrates that the HDL subfraction profile (especially the decrease in HDL-2 and -L) may be a useful marker for the early detection and intervention of atherogenic dyslipidemia in subjects with impaired glucose and insulin metabolism.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk insulin resistance HDL subfraction profile HDL-2 large HDL cut-off points HOMA-IR diabetes high-density lipoprotein cholesterol
Megjelenés:	International Journal Of Molecular Sciences. - 24 : 17 (2023), p. 1-13. -
További szerzők:	Jenei Tibor (1963-) (programtervező informatikus) Kósa Zsigmond (1953-) (orvos) Sándor János (1966-) (orvos-epidemiológus) Kovács Nóra (1989-) (népegészségügyi szakember) Seres Ildikó (1954-) (biokémikus) Paragh György (1953-) (belgyógyász) Ádány Róza (1952-) (megelőző orvostan és népegészségtan szakorvos)
Pályázati támogatás:	GINOP-2.3.2-15-2016-00005 GINOP 135784 OTKA TK2016-78 Egyéb TKCS-2021/32 Egyéb ÚNKP-22-4-II-DE-268 Egyéb RRF-2.3.1-21-2022-00006 Egyéb
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001-es BibID:	BIBFORM109123
035-os BibID:	(cikkazonosító)4566 (WoS)000947319300001 (Scopus)85149877208
Első szerző:	Pikó Péter (biológus)
Cím:	Genetic Determinants of Leisure-Time Physical Activity in the Hungarian General and Roma Populations / Pikó Péter, Bácsné Bába Éva, Kósa Zsigmond, Sándor János, Kovács Nóra, Bács Zoltán, Ádány Róza
Dátum:	2023
ISSN:	1422-0067
Megjegyzések:	Leisure-time physical activity (LTPA) is one of the modifiable lifestyle factors that play an important role in the prevention of non-communicable (especially cardiovascular) diseases. Certain genetic factors predisposing to LTPA have been previously described, but their effects and applicability on different ethnicities are unknown. Our present study aims to investigate the genetic background of LTPA using seven single nucleotide polymorphisms (SNPs) in a sample of 330 individuals from the Hungarian general (HG) and 314 from the Roma population. The LTPA in general and three intensity categories of it (vigorous, moderate, and walking) were examined as binary outcome variables. Allele frequencies were determined, individual correlations of SNPs to LTPA, in general, were determined, and an optimized polygenetic score (oPGS) was created. Our results showed that the allele frequencies of four SNPs differed significantly between the two study groups. The C allele of rs10887741 showed a significant positive correlation with LTPA in general (OR = 1.48, 95% CI: 1.12?1.97; p = 0.006). Three SNPs (rs10887741, rs6022999, and rs7023003) were identified by the process of PGS optimization, whose cumulative effect shows a strong significant positive association with LTPA in general (OR = 1.40, 95% CI: 1.16?1.70; p < 0.001). The oPGS showed a significantly lower value in the Roma population compared with the HG population (oPGSRoma: 2.19 SD: 0.99 vs. oPGSHG: 2.70 SD: 1.06; p < 0.001). In conclusion, the coexistence of genetic factors that encourage leisure-time physical activity shows a more unfavorable picture among Roma, which may indirectly contribute to their poor health status.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk genetics leisure-time physical activity polygenic score Roma population Hungarian population
Megjelenés:	International Journal Of Molecular Sciences. - 24 : 5 (2023), p. 1-14. -
További szerzők:	Bácsné Bába Éva (1968-) (bölcsésztanár, szakközgazda) Kósa Zsigmond (1953-) (orvos) Sándor János (1966-) (orvos-epidemiológus) Kovács Nóra (1989-) (népegészségügyi szakember) Bács Zoltán (1969-) (agrármérnök) Ádány Róza (1952-) (megelőző orvostan és népegészségtan szakorvos)
Pályázati támogatás:	GINOP-2.3.2- 15-2016-00005 Egyéb TK2016-78 Egyéb TKCS-2021/32 Egyéb 135784 OTKA ÚNKP-22-4-II-DE-268 Egyéb
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