scholarly journals Improvement in the proinsulin/C-peptide ratio during treatment with ipragliflozin in Japanese patients with type 2 diabetes mellitus

2018 ◽  
Vol 19 (7) ◽  
pp. 631-632
Author(s):  
Takahiro Takase ◽  
Akinobu Nakamura ◽  
Chiho Yamamoto ◽  
Tatsuya Atsumi ◽  
Hideaki Miyoshi
2014 ◽  
Vol 6 (3) ◽  
pp. 197-205 ◽  
Author(s):  
Masami Tanaka ◽  
Risa Sekioka ◽  
Takeshi Nishimura ◽  
Toshihide Kawai ◽  
Shu Meguro ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1831-P
Author(s):  
YUKI MATSUHASHI ◽  
SHINJI CHIKAZAWA ◽  
HIROFUMI NAKAYAMA ◽  
MASAYA MURABAYASHI ◽  
SATORU MIZUSHIRI ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2393-PUB
Author(s):  
KENICHIRO TAKAHASHI ◽  
MINORI SHINODA ◽  
RIKA SAKAMOTO ◽  
JUN SUZUKI ◽  
TADASHI YAMAKAWA ◽  
...  

2019 ◽  
Vol 72 (5) ◽  
pp. 739-743
Author(s):  
Oleksandr Yu. Ioffe ◽  
Mykola S. Kryvopustov ◽  
Yuri A. Dibrova ◽  
Yuri P. Tsiura

Introduction: Morbid obesity (MO) has a significant impact on mortality, health and quality of life of patients. Type 2 diabetes mellitus (T2DM) is a common comorbidity in patients with MO. The aim is to study T2DM remission and to develop a prediction model for T2DM remission after two-stage surgical treatment of patients with MO. Materials and methods: The study included 97 patients with MO. The mean BMI was 68.08 (95% CI: 66.45 - 69.71) kg/m2. 70 (72,2%) patients with MO were diagnosed with T2DM. The first stage of treatment for the main group (n=60) included the IGB placement, for the control group (n=37) - conservative therapy. In the second stage of treatment the patients underwent bariatric surgery. The study addresses such indicators as BMI, percentage of weight loss, percentage of excess weight loss, ASA physical status class, fasting glucose level, HbA1c, C-peptide. Results: Two-stage treatment of morbidly obese patients with T2DM promotes complete T2DM remission in 68.1% of patients. The risk prediction model for failure to achieve complete T2DM remission 12 months after LRYGB based on a baseline C-peptide level has a high predictive value, AUC = 0.84 (95% CI: 0.69-0.93), OR = 0.23 ( 95% CI: 0.08-0.67). Conclusions: Two-stage treatment of patients with MO promotes improvement of carbohydrate metabolism indicators. With a C-peptide level > 3.7 ng/ml, prediction of complete T2DM remission 12 months after Laparoscopic Roux-en-Y Gastric Bypass is favorable.


2020 ◽  
Vol 18 ◽  
pp. 205873922098280
Author(s):  
Shuai Guo ◽  
Xujie Yu ◽  
Limei Wang ◽  
Jing Jing ◽  
Yuanyuan Sun ◽  
...  

Type 2 diabetes mellitus (T2DM) is a chronic, low-grade inflammation disease. T follicular helper (Tfh) cells and T cell immunoglobulin and mucin domain 3 (Tim-3) are implicated in many immune diseases. This study aims to explore whether Tim-3 expression on Tfh cells is associated with T2DM progression. White blood cells (WBCs) were harvested from 30 patients with T2DM and 20 healthy donors. The abundance of circulating Tfh cells (cTfh) and the frequency of Tim-3 were analyzed by flow cytometry. Levels of fasting plasma glucose (FPG), insulin, hemoglobin A1C (HbA1C), and fasting plasma C-peptide were measured. Body mass index (BMI) and diabetes duration were also recorded. Patients with T2DM had higher numbers of cTfh cells. In addition, cTfh cells showed a negative correlation with HbA1C and diabetes duration, a positive correlation with fasting plasma C-peptide. The frequency of Tim-3 on cTfh cells was higher among T2DM patients compared with healthy donors. The in vitro experiment showed that high glucose levels increased the abundance cTfh cells but had no effect on Tim-3 expression. Our results suggest that cTfh cells and associated Tim-3 frequency may contribute to the progression of T2DM, and high glucose levels may influence cTfh cells directly.


BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e025806 ◽  
Author(s):  
Rimei Nishimura ◽  
Haruka Kato ◽  
Koichi Kisanuki ◽  
Akinori Oh ◽  
Shinzo Hiroi ◽  
...  

ObjectiveTo determine real-world trends in antidiabetic drug use, and persistence and adherence, in Japanese patients with type 2 diabetes mellitus (T2DM).DesignRetrospective evaluation of administrative claims data (2011–2015) using the Japan Medical Data Center (JMDC) and Medical Data Vision (MDV) databases.SettingAnalysis of two administrative claims databases for Japanese patients with T2DM.ParticipantsAdults (aged ≥18 years) with an International Classification of Diseases, 10th Revision code of T2DM and at least one antidiabetic drug prescription.Main outcome measuresTreatment patterns in untreated (UT) or previously treated (PT) patients receiving antidiabetic therapy; persistence with treatment at 12 months; adherence to treatment at 12 months.Results40 908 and 90 421 patients were included from the JMDC and MDV databases, respectively. The most frequently prescribed therapy at the index (first prescription) date was dipeptidyl peptidase-4 inhibitor (DPP-4i) in UT patients (JMDC: 44.0%, MDV: 54.8%) and combination therapy in PT patients (74.6%, 81.1%). Most common combinations were DPP-4i plus: biguanide (BG; 11.4%, 10.9%), sulfonylurea (SU; 8.4%, 11.0%) or BG+SU (7.8%, 9.1%). In UT or PT patients from either database whose index prescription was for any antidiabetic drug class(es) other than DPP-4i, the most frequent add-on or switch was to DPP-4i. 12-month persistence with index monotherapy was highest with DPP-4i and BG. Adherence was high (≥80%) for all monotherapy schedules, except insulin and glucagon-like peptide-1 agonist, and for the five most frequent two-drug and three-drug combinations. Persistence was greater in elderly UT patients and in those receiving ≤5 medications, but comparatively worse in UT patients with ≥3 index antidiabetic drug classes.ConclusionsThe findings indicate that DPP-4i is the most commonly used antidiabetic drug class in Japanese patients with T2DM, and persistence and adherence to this antidiabetic drug class are high.


2017 ◽  
Vol 19 (8) ◽  
pp. 1188-1192 ◽  
Author(s):  
Yasuo Terauchi ◽  
Yuichiro Yamada ◽  
Hitoshi Ishida ◽  
Mitsuru Ohsugi ◽  
Masafumi Kitaoka ◽  
...  

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