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1. Introduction
The global epidemic trend of type 2 diabetes mellitus (T2DM) is becoming more and more serious, whose epidemiological data indicating that T2DM approximately impacts 1 in 11 adults [1]. Diabetes and its complications, such as diabetic angiocardiopathy, diabetic nephropathy, diabetic retinopathy, diabetic neuropathy, and diabetic hepatopathy, have serious impact on human health. Additional, T2DM patients are accompanied by dyslipidemia, atherosclerotic disease, hypertension, and obesity [2, 3], and what is serious is that more than 50% of T2DM patients have been reported with obesity [3, 4]. All we all know, T2DM patients with overweight or obesity are more likely to increase the risk of cardiovascular disease and lead to further risk increase of death, which are the important determinant of the prognosis of T2DM patients [4, 5]. Thus, it is vital to strengthen management of overweight or obesity in T2DM patients [6].
Sodium-glucose cotransporter-2 (SGLT-2) inhibitors, inhibiting SGLT-2 which is located in the S1 segment of renal proximal tubule and accounts for absorption of nearly 90% of glucose by kidney [7, 8], are a group of antidiabetic drugs. These drugs achieve their potential hypoglycemic activity by virtue of blocking the coupled reuptake of sodium and glucose in proximal tubule and promoting glycosuria [9]. In addition, apart from reducing blood glucose concentration, SGLT-2 inhibitors also have been demonstrated to have nonglycemic pleotropic effects, such as reducing risk of cardiovascular outcomes and mortality [10], attenuating hyperglycemia-induced vascular dysfunction [11], and inducting of weight loss, among which induction of weight loss is one of the important functions, whose mechanisms are due to osmotic diuresis and associated calorie losses [9, 12, 13]. However, the effects of SGLT-2 inhibitors on weight in T2DM are unclear; particularly, the dosages and treatment durations of SGLT-2 inhibitors lack clinical guidance. Therefore, the present study is aimed at exploring the effects of SGLT-2 inhibitors on weight in T2DM and therapeutic regimen recommendations.
2. Methods
2.1. Included Patients
T2DM patients treated with SGLT-2 inhibitors, including canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin, were enrolled from published literatures, and the researches were approved by the ethics committee of each participating center [12, 14–69]. Search strategy was shown in Supplementary. The inclusion criteria were shown as follows: (a) T2DM patients; (b) with canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin treatments; (c) randomized controlled trial (RCT); (d) with body weight information; and (e) exact doses and durations of canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin. Source, grouping, common clinical dosages, duration of treatments, sample size, age, etc. were extracted from the above included studies. Studies identified for analysis were shown in Supplementary Table S1–S6, risk of bias was shown in Supplementary Figure S1–S6, and there was no obvious bias.
The change rates of body weight from baseline values were used as evaluation indices in order to eliminate the potential baseline effect, in which the formula (1) was as follows:
EFFtime is the value of weight at time, and EFFbase is the value of weight at baseline.
2.2. Model Establishment
The effects of canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin on weight loss in T2DM patients were evaluated using the
The exponential error or additive error models were used to describe the variabilities of interstudies, in which the formulas (4)-(7) were as follows:
ηk,1,i and ηk,2,i were the interstudy variabilities, and when available, they would be added into
In addition, continuous covariates and categorical covariates were evaluated by formulas (8)–(10):
The models were established using nonlinear mixed effect modeling (NONMEM, edition 7, ICON Development Solutions, Ellicott City, MD, USA) software. When the basic model was built up, potential covariates were considered for adding into
2.3. Model Validation
The individual predictions vs. observations and individual plots from SGLT-2 inhibitors, including canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin, were used to estimate the final models, respectively. Prediction-corrected visual predictive check (VPC) plots were used to assess the predictive performance of final models.
2.4. Prediction
The curves of the final models from SGLT-2 inhibitors, including canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin, were simulated using the Monte Carlo method, in addition, recommending the optimum dosages and treatment durations on weight in T2DM patients from canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin and tofogliflozin, respectively.
3. Results
3.1. Included Patients
A total of 20,019 patients with T2DM were enrolled in the present study, who were treated with SGLT-2 inhibitors, including canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin, among which the dosages of canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin were 100-300 mg/day, 10-25 mg/day, 5-15 mg/day, 50-100 mg/day, 2.5-5 mg/day, and 20-40 mg/day, respectively [12, 14–69].
3.2. Modeling
For canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin, the
In addition, the relationships between SGLT-2 inhibitors, including canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin and tofogliflozin, and loss of weight in T2DM patients, were shown in formulas (11)–(16), respectively:
EFF was canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin on the effects of weight loss in T2DM patients. Time was canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin treatment durations in T2DM patients.
3.3. Evaluation
The individual predictions vs. observations from canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin models were shown in Figure 1, and Figures 1(a)–1(f) were from canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin, respectively, showing good linear relationships between individual predictions and observations and indicating the better fitting of the final models. Individual plots were shown in Figure 2, and Figures 2(a)–2(f) were from canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin, respectively, demonstrating acceptable predictability from the perspective of clinical sparse data. The prediction-corrected VPC plots were shown in Figure 3, and Figures 3(a)–3(f) were from canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin, respectively, indicating that most observed data were included in the 95% prediction intervals produced with simulation data and meaning the predictive power of the final models.
[figures omitted; refer to PDF]
[figures omitted; refer to PDF]
[figures omitted; refer to PDF]
3.4. Prediction
The trends of efficacy of canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin on the effects of weight loss in T2DM patients were shown in Figure 4. For canagliflozin, as shown in Figure 4(a), the duration to achieve 25%, 50%, 75%, and 80% of
[figures omitted; refer to PDF]
In addition, as the study had found in the front section that the recommended dosages of canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin were 100 mg/day, 10 mg/day, 5 mg/day, 50 mg/day, 2.5 mg/day, and 20 mg/day, respectively. Therefore, to achieve the plateau period (80% of
4. Discussion
At present, many studies have found that SGLT-2 inhibitors, including canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin, can reduce weight in T2DM patients, playing an important role in the treatment of T2DM [12, 14–69]. However, the effects of dosages and treatment durations of SGLT-2 inhibitors on weight in T2DM lack clinical guidance. Therefore, the present study is aimed at exploring the effects of SGLT-2 inhibitors on weight in T2DM and therapeutic regimen recommendations.
The present study adopts
The nonlinear mixed effect modeling (NONMEM) was used to analyze. In the process of our research, the evaluation index was change rate of body weight from baseline value in order to eliminate the potential baseline effect. In addition, the control effects were subtracted from the sum effects for acquiring the actual effects on weight loss in T2DM from canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin. Finally, for canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin, the
Besides, the optimum dosages and treatment durations on weight from canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin were recommended in T2DM patients, respectively. 100 mg/day canagliflozin needs to be taken 13.4 weeks for the plateau of effect on weight; 10 mg/day empagliflozin needs to be taken 67.2 weeks for the plateau of effect on weight; 5 mg/day ertugliflozin needs to be taken 13.68 weeks for the plateau of effect on weight; 50 mg/day ipragliflozin needs to be taken 12.36 weeks for the plateau of effect on weight; 2.5 mg/day luseogliflozin needs to be taken 17.52 weeks for the plateau of effect on weight; 20 mg/day tofogliflozin needs to be taken 12.64 weeks for the plateau of effect on weight.
The present study firstly explored the effects of canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin on weight in T2DM and recommended therapeutic regimen. However, this study also had some limitations. For example, the studies of luseogliflozin and tofogliflozin were all from Japan and lack of data on other countries’ populations. This required further population expansion and inclusion of populations from more countries in future studies.
5. Conclusion
This was the first comprehensive study to explore effects of SGLT-2 inhibitors on weight in T2DM; meanwhile, the optimum dosages and treatment durations on weight from canagliflozin, empagliflozin, ertugliflozin, ipragliflozin, luseogliflozin, and tofogliflozin were recommended, respectively.
Authors’ Contributions
Conception and design were contributed by D Wang, P Zhu, S He, and X Chen. Collection and assembly of data were contributed by D Wang, Y Mao, Y Yang, T Wang, P Zhu, S He, and X Chen. Data analysis and interpretation were contributed by D Wang. Manuscript writing was contributed by D Wang. Final approval of the manuscript was approved by all authors. Dong-Dong Wang, Yi-Zhen Mao, Yang Yang, and Tian-Yun Wang contributed equally to this work and are co-first authors.
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Abstract
Aims. The present study is aimed at exploring the effects of sodium-glucose cotransporter-2 (SGLT-2) inhibitors on weight in type 2 diabetes mellitus (T2DM) and therapeutic regimen recommendations. Methods. 20,019 patients with T2DM were enrolled. The maximal effect (
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
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1 Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy & School of Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
2 School Infirmary, Jiangsu Normal University, Xuzhou, Jiangsu 221132, China
3 Department of Pharmacy, The Affiliated Changzhou Children’s Hospital of Nantong University, Changzhou 213003, China
4 Department of Pharmacy, Huaian Hospital of Huaian City, Huaian, Jiangsu 223200, China
5 Department of Endocrinology, Huaian Hospital of Huaian City, Huaian, Jiangsu 223200, China
6 Department of Pharmacy, The Affiliated Suzhou Science & Technology Town Hospital of Nanjing Medical University, Suzhou Jiangsu 215153, China
7 Department of Pharmacy, Children’s Hospital of Fudan University, Shanghai 201102, China