Acromegaly is associated with a distinct oral and gut microbiota
Erişim
info:eu-repo/semantics/closedAccessTarih
2022Yazar
Şahin, SerdarGündoğdu, Aycan
Nalbantoğlu, Ufuk
Kadıoğlu, Pınar
Karaca, Züleyha
Hacıoğlu, Ayşa
Urhan, Muhammed Emre
Ünlühızarcı, Kürşad
Demir, Ahmet Numan
Hora, Mehmet
Durcan, Emre
Elbüken, Gülşah
Dökmetaş, Hatice Sebile
Zuhur, Sayid Shafi
Keleştemur, Fahrettin
Üst veri
Tüm öğe kaydını gösterKünye
Şahin, S., Gündoğdu, A., Nalbantoğlu, U., Kadıoğlu, P., Karaca, Z., Hacıoğlu, A. ... Keleştemur, F. (2022). Acromegaly is associated with a distinct oral and gut microbiota. Pituitary, 25(3), 520-530. https://doi.org/10.1007/s11102-022-01223-1Özet
Purpose Our aim was to investigate the changes in the composition of oral and gut microbiota in patients with newly diagnosed acromegaly and their relationship with IGF-1 levels. Methods Oral and fecal samples were collected from patients with newly diagnosed acromegaly without comorbidities and from healthy controls. The composition of the microbiota was analyzed. The general characteristics, oral and stool samples of the patients and healthy control subjects were compared. The changes in microbiota composition in both habitats, their correlations and associations with IGF-1 were statistically observed using machine learning models. Results Fifteen patients with newly diagnosed acromegaly without comorbidities and 15 healthy controls were included in the study. There was good agreement between fecal and oral microbiota in patients with acromegaly (p = 0.03). Oral microbiota diversity was significantly increased in patients with acromegaly (p < 0.01). In the fecal microbiota, the Firmicutes/Bacteroidetes ratio was lower in patients with acromegaly than in healthy controls (p = 0.011). Application of the transfer learned model to the pattern of microbiota allowed us to identify the patients with acromegaly with perfect accuracy. Conclusions Patients with acromegaly have their own oral and gut microbiota even if they do not have acromegaly-related complications. Moreover, the excess IGF-1 levels could be correctly predicted based on the pattern of the microbiome.
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Q3Scopus Q Kategorisi
Q2Kaynak
PituitaryCilt
25Sayı
3Koleksiyonlar
- Makale Koleksiyonu [3649]
- PubMed İndeksli Yayınlar Koleksiyonu [4047]
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