Effects of Elobixibat, an Inhibitor of Ileal Bile Acid Transporter, on Glucose and Lipid Metabolism: A Single-arm Pilot Study in Patients with T2DM

Yoshinobu, Satoko; Hasuzawa, Nao; Nagayama, Ayako; Iwata, Shimpei; Yasuda, Junichi; Tokubuchi, Rie; Kabashima, Masaharu; Gobaru, Mizuki; Hara, Kimihiko; Murotani, Kenta; Moriyama, Yoshinori; Ashida, Kenji; Nomura, Masatoshi

doi:10.1016/j.clinthera.2022.08.009

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…Currently, the research on constipation in patients with T2DM predominantly focuses on its pathogenesis and treatment. 10 , 11 Moreover, scanty research is available on establishing a prediction model to predict the risk of constipation in T2DM patients.…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of a Risk Nomogram Model for Predicting Constipation in Patients with Type 2 Diabetes Mellitus

Yuan¹,

Zhang²,

Peng³

et al. 2023

DMSO

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Purpose Constipation is a common complication of diabetic patients, which has a negative impact on their own health. This study aims to establish and internally validate the risk nomogram of constipation in patients with type 2 diabetes mellitus (T2DM) and to test its predictive ability. Patients and Methods This retrospective study included 746 patients with T2DM at two medical centers. Among the 746 patients with T2DM, 382 and 163 patients in the Beilun branch of the First Affiliated Hospital of Zhejiang University were enrolled in the training cohort and the validation cohort, respectively. A total of 201 patients in the First Affiliated Hospital of Nanchang University were enrolled in external validation cohorts. The nomogram was established by optimizing the predictive factors through univariate and multivariable logistic regression analysis. The prediction performance of the nomogram was measured by the area under the receiver operating characteristic curve (AUROC), the calibration curve, and the decision curve analysis (DCA). Furthermore, its applicability was internally and independently validated. Results Among the 16 clinicopathological features, five variables were selected to develop the prediction nomogram, including age, glycated hemoglobin (HbA1c), calcium, anxiety, and regular exercise. The nomogram revealed good discrimination with an area under the receiver operating characteristic curve (AUROC) of 0.908 (95% CI = 0.865–0.950) in the training cohort, and 0.867 (95% CI = 0.790–0.944) and 0.816 (95% CI = 0.751–0.881) in the internal and external validation cohorts, respectively. The calibration curve presented a good agreement between the prediction by the nomogram and the actual observation. The DCA revealed that the nomogram had a high clinical application value. Conclusion In this study, the nomogram for pretreatment risk management of constipation in patients with T2DM was developed which could help in making timely personalized clinical decisions for different risk populations.

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Section: Introductionmentioning

confidence: 99%

Development and Validation of a Risk Nomogram Model for Predicting Constipation in Patients with Type 2 Diabetes Mellitus

Yuan¹,

Zhang²,

Peng³

et al. 2023

DMSO

View full text Add to dashboard Cite

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Inhibition of hepatic bile salt uptake by Bulevirtide reduces atherosclerosis in Oatp1a1 Ldlr mice

Porteiro,

Roscam Abbing,

In het Panhuis

et al. 2024

Journal of Lipid Research

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Dysregulated bile acid homeostasis: unveiling its role in metabolic diseases

Wang,

Xu,

Zhou

et al. 2024

Medical Review

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Maintaining bile acid homeostasis is essential for metabolic health. Bile acid homeostasis encompasses a complex interplay between biosynthesis, conjugation, secretion, and reabsorption. Beyond their vital role in digestion and absorption of lipid-soluble nutrients, bile acids are pivotal in systemic metabolic regulation. Recent studies have linked bile acid dysregulation to the pathogenesis of metabolic diseases, including obesity, type 2 diabetes mellitus (T2DM), and metabolic dysfunction-associated steatotic liver disease (MASLD). Bile acids are essential signaling molecules that regulate many critical biological processes, including lipid metabolism, energy expenditure, insulin sensitivity, and glucose metabolism. Disruption in bile acid homeostasis contributes to metabolic disease via altered bile acid feedback mechanisms, hormonal dysregulation, interactions with the gut microbiota, and changes in the expression and function of bile acid transporters and receptors. This review summarized the essential molecular pathways and regulatory mechanisms through which bile acid dysregulation contributes to the pathogenesis and progression of obesity, T2DM, and MASLD. We aim to underscore the significance of bile acids as potential diagnostic markers and therapeutic agents in the context of metabolic diseases, providing insights into their application in translational medicine.

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Effects of Elobixibat, an Inhibitor of Ileal Bile Acid Transporter, on Glucose and Lipid Metabolism: A Single-arm Pilot Study in Patients with T2DM

Cited by 3 publications

References 28 publications

Development and Validation of a Risk Nomogram Model for Predicting Constipation in Patients with Type 2 Diabetes Mellitus

Development and Validation of a Risk Nomogram Model for Predicting Constipation in Patients with Type 2 Diabetes Mellitus

Inhibition of hepatic bile salt uptake by Bulevirtide reduces atherosclerosis in Oatp1a1 Ldlr mice

Dysregulated bile acid homeostasis: unveiling its role in metabolic diseases

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