Acromegaly is associated with a distinct oral and gut microbiota.

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.

Gut microbiota in patients with newly diagnosed acromegaly: a pilot cross-sectional study.

PURPOSE: Microbiota has crucial biological importance for human well-being. Bidirectional interaction exists between microbiota and the host, and there have been no studies investigating this interaction in patients with acromegaly. We aimed to analyze the composition of microbiota in patients with newly diagnosed acromegaly. METHOD: Stool samples were obtained from the patients with newly diagnosed acromegaly in the Endocrinology Clinic of Erciyes University Medical School. The composition of microbiota was analyzed, and the results were compared to healthy volunteers matched to the patients in terms of age, gender and body mass index. RESULTS: Seven patients (three male, four female) with a mean age of 48 ± 17.6 years were included in the study. The stool analysis revealed a significantly lower bacterial diversity in the patients with acromegaly. Bacteroidetes phylum was predominating in the patient group, and Firmicutes/Bacteroidetes ratio was altered significantly. Bifidobacterium, Collinsella, Bacteroides, Butyricimonas, Clostridium, Oscillospira, and Dialister were predominating in the control group. CONCLUSION: The gut microbiota is significantly altered in patients with newly diagnosed acromegaly. Further prospective studies are needed to elucidate the causative relationship between acromegaly, colorectal pathologies, and microbial alterations.

Real-life safety and efficacy of vildagliptin as add-on to metformin in patients with type 2 diabetes in Turkey--GALATA study.

OBJECTIVE: To evaluate tolerability/safety and the efficacy of the combination of vildagliptin plus metformin in a real-life population of patients with type 2 diabetes mellitus (T2DM). RESEARCH DESIGN AND METHODS: This multicenter, single-arm, 6 month, observational, prospective cohort study was conducted at 39 centers across Turkey. T2DM patients on vildagliptin and metformin for ≤4 weeks were enrolled regardless of their previous antidiabetic therapy. MAIN OUTCOME MEASURES: Efficacy was evaluated by measuring hemoglobin A1c (HbA1c) levels. Tolerability/safety parameters evaluated included hypoglycemic events, gastrointestinal events, peripheral edema and weight gain. RESULTS: This study enrolled 665 patients with a mean ± standard deviation (SD) age of 55.1 ± 10.2 years and female predominance (n = 394, 59.2%). Safety was assessed in all enrolled patients. Hypoglycemia was reported in 10 (1.5%) patients (95% confidence interval = 0.8-2.7%). Efficacy was assessed in 289 (43.5%) patients treated for 6 ± 1 months; these patients showed a mean decrease in HbA1c of 0.8% from baseline value of 7.8% (p < 0.001). The percentages of patients who achieved HbA1c targets of ≤6.5% and ≤7.0% were significantly increased, from 10.7% to 33.6% and from 22.1% to 52.6%, respectively (p < 0.001 each). The decrease in HbA1c was independent of baseline HbA1c (≤8% vs. 8-10% vs. ≥10%), age (≤65 vs. >65 years) and body mass index (<30 vs. ≥30 kg/m(2)) (p < 0.001 each). In total, 136 adverse events (AEs) were observed in 71 (10.7%) patients; 10 (1.5%) patients experienced hypoglycemia and gastrointestinal AEs were most commonly reported (n = 29, 4.4%). CONCLUSIONS: In a 'real-life' setting, the vildagliptin and metformin combination was associated with significant improvements in reaching target HbA1c levels, even in elderly and obese patients with T2DM. Moreover, vildagliptin and metformin demonstrated a good overall tolerability/safety profile.