Pregled bibliografske jedinice broj: 1189059
Circadian Rhythm Gene Polymorphisms and Susceptibility to Metabolic Syndrome: a Meta- Analysis
Circadian Rhythm Gene Polymorphisms and Susceptibility to Metabolic Syndrome: a Meta- Analysis // European Journal of Human Genetics: Abstracts from the 54th European Society of Human Genetics (ESHG) Conference
online: Springer, 2022. str. 523-523 doi:10.1038/s41431-021-01024-3 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1189059 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Circadian Rhythm Gene Polymorphisms and
Susceptibility to Metabolic Syndrome: a Meta-
Analysis
Autori
Škrlec, Ivana ; Talapko, Jasminka ; Džijan, Snježana ; Lepeduš, Hrvoje
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
European Journal of Human Genetics: Abstracts from the 54th European Society of Human Genetics (ESHG) Conference
/ - : Springer, 2022, 523-523
Skup
54th European Society of Human Genetics (ESHG) Conference
Mjesto i datum
Online, 28.08.2021. - 31.08.2021
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
circadian rhythm genes ; type 2 diabetes mellitus ; hypertension ; metabolic syndrome ; obesity
Sažetak
Introduction: Metabolic syndrome (MetS) is a set of cardiovascular risk factors associated with type 2 diabetes, obesity, and cardiovascular diseases. Research findings of the association between circadian rhythm gene polymorphisms and MetS and its comorbidities are not consistent. This meta-analysis was performed to quantify the relationships between circadian rhythm genes and the risk of MetS. Materials and Methods: The PubMed and Scopus databases were searched for studies reporting on the association between circadian rhythm gene polymorphisms (ARNTL, BMAL1, CLOCK, CRY, PER, NPAS2, RORα, REV-ERBα, and REV- ERBβ) and MetS, and its comorbidities type 2 diabetes, obesity, and hypertension. A random- effect model was used to calculate the pooled odds ratio and 95% confidence interval by comprehensive meta-analysis software. Results: Eleven independent studies were analyzed with 16, 431 subjects in total. The meta-analysis revealed a significant association between circadian rhythm gene polymorphisms and MetS (OR = 1.19, 95% CI: 1.04–1.38, p = 0.013). The subgroup analysis on comorbidity related to MetS revealed that type 2 diabetes was associated with circadian rhythm genes (OR = 1.07, 95% CI: 1.00–1.14, p = 0.04). Furthermore, the subgroup analyses revealed that BMAL1 and CLOCK genes were associated with MetS (OR = 1.26, 95% CI: 1.05–1.52, p = 0.014, and OR = 1.49, 95% CI: 1.23–1.80, p < 0.001, respectively) with significant heterogeneity (I2 = 75.3%, p = 0.001). Conclusion: This study suggests that circadian rhythm gene polymorphisms might be associated with MetS and its comorbidity and potentially cause cardiovascular diseases. Grant no. IP8-FDMZ-2020
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Temeljne medicinske znanosti, Kliničke medicinske znanosti
POVEZANOST RADA
Projekti:
VLASTITA-SREDSTVA-IP8-FDMZ-2020 - Povezanost između varijacija gena sata i podložnosti za razvoj kardiovaskularnih bolesti (Škrlec, Ivana, VLASTITA-SREDSTVA ) ( CroRIS)
Profili:
Snježana Džijan
(autor)
Ivana Škrlec
(autor)
Jasminka Talapko
(autor)
Hrvoje Lepeduš
(autor)
Poveznice na cjeloviti tekst rada:
doi www.nature.com 2021.eshg.orgPoveznice na istraživačke podatke:
www-webofscience-com.ezproxy.nsk.hrCitiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE