Akademik Veri Yönetim Sistemi
Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Çukurova Üniversitesi, Tıp Fakültesi, Temel Tıp Bilimleri, Türkiye
Tezin Onay Tarihi: 2024
Tezin Dili: İngilizce
Öğrenci: Zenab Bintou NSOUNMFON
Danışman: Mehmet Bertan Yılmaz
Özet:
Determining a person of interest's age in routine forensic cases can be a pivotal lead to an
investigation, however, this task remains challenging. Beyond the forensic scope, age prediction
tools could be an asset to several other fields including immigration, anthropology and disaster
victim identification programs. Several leads have been explored to understand the complex
underpinnings of ageing to create an effective prediction model. Initially known for their role in
histone deacetylation, sirtuins (SIRT) have received growing attention, regarding their role in
ageing and age-related diseases. SIRT6 shows a downregulation with ageing. The question of
"What factors affect SIRT6 expression?" would, therefore, be valid, when trying to elucidate the
complex network involved in ageing and when designing age prediction models. MicroRNAs
known for their role in gene silencing are one such factor. MiR-766-3p targets the SIRT6 via a
feedback regulatory loop. The analysis of the expression patterns of miR-766-3p in the saliva
samples of different age groups may give more insight into miRNA-age-related circuitry and
determine its potential as a candidate biomarker for age prediction tools. Our results show a
difference in the expression patterns of women and men. Where women show an upregulation,
men show a downregulation with age.