Literature DB >> 24843562

Estimation of HbA1c response to sitagliptin by change in glycated albumin level for 2 weeks.

Tomoya Hamaguchi1, Masafumi Koga2, Jun Murai2, Hiroshi Saito2, Daisuke Tamada3, Shogo Kurebayashi3, Tomoyuki Katsuno4, Jun-Ichiro Miyagawa4, Mitsuyoshi Namba5.   

Abstract

UNLABELLED: Aims/Introduction:  Since glycated albumin (GA) reflects shorter-term (about 2 weeks) control of plasma glucose levels compared with HbA1c, GA is thought to be a useful glycemic control indicator for the early period following commencement of the treatment of diabetes. In this study, we attempted to estimate HbA1c using the change in GA level before and after the first 2 weeks (ΔGA2w) of administration of sitagliptin, a dipeptidyl peptidase-4 (DPP-4) inhibitor.
MATERIALS AND METHODS: The study included 28 patients with type 2 diabetes who were administered sitagliptin at a dose of 50 mg/day for 12 weeks.
RESULTS: At 2 weeks after administration of sitagliptin, GA markedly decreased, while HbA1c had only slightly decreased. A significant positive correlation was observed between the ΔGA2w and the change in HbA1c before and after the first 12 weeks of administration of sitagliptin (ΔHbA1c12w) (R = 0.793, P < 0.0001). The latter was about 0.6 times the former. The estimated HbA1c after 12 weeks of therapy was calculated by adding ΔGA2w × 0.6 to the baseline HbA1c. A significant positive correlation was observed between the estimated HbA1c and the measured HbA1c after 12 weeks (R = 0.735, P < 0.0001) and both were similar levels.
CONCLUSIONS: HbA1c in the first 12 weeks after administration of sitagliptin could be estimated from the formula using the ΔGA2w. (J Diabetes Invest, doi: 10.1111/j.2040-1124.2011.00167.x, 2011).

Entities:  

Keywords:  Glycated albumin; HbA1c; Incretin

Year:  2012        PMID: 24843562      PMCID: PMC4020736          DOI: 10.1111/j.2040-1124.2011.00167.x

Source DB:  PubMed          Journal:  J Diabetes Investig        ISSN: 2040-1116            Impact factor:   4.232


Introduction

Glycation of various proteins increases in diabetic patients compared to nondiabetic subjects, and some of these glycated proteins may take part in the onset and progression of chronic diabetic complications. Of the glycated proteins, HbA1c is used clinically as an indicator for chronic control of plasma glucose levels. It is recommended that HbA1c should be <7.0% based on the result of the Diabetes Control and Complications Trial (DCCT) in order to prevent the onset and progression of chronic diabetic complications. Since the lifespan of erythrocytes is about 120 days, HbA1c reflects plasma glucose levels for the preceding 2–3 months. Therefore, 2–3 months are needed for judging whether or not HbA1c reaches target‐to‐treat levels after starting treatment of diabetes. HbA1c does not acutely reflect glycemic control state at early phase starting treatment for diabetes, because HbA1c changes slowly. Therefore, according to the American Diabetes Association (ADA) guideline, the therapeutic effect should be judged using HbA1c 3 months after initiating treatment of diabetes. Glycated albumin (GA) is also used as a glycemic control indicator. Since the half‐life of serum albumin is about 14 days, GA reflects shorter‐term (about 2 weeks) control of plasma glucose levels. The change in GA is assumed to be about three times larger compared to HbA1c, because albumin is more sensitively glycated than hemoglobin. Thus, GA is thought to be a useful glycemic control indicator for early period after starting treatment for diabetes. It has also been shown that GA is a suitable indicator in diabetic patients on insulin therapy who have large glycemic fluctuations, and in patients with a shortened lifespan of erythrocytes (e.g., hemolytic anemia and hemodialysis). Sitagliptin is a highly selective dipeptidyl peptidase‐4 (DPP‐4) inhibitor indicated for the treatment of type 2 diabetes. Sitagliptin increases plasma concentration of active glucagon‐like peptide‐1 (GLP‐1) and glucose‐dependent insulinotropic polypeptide (GIP) two‐ to three‐fold in patients with type 2 diabetes. The effect of sitagliptin on GLP‐1 and GIP result in lower fasting and postprandial plasma glucose levels through increases in glucose‐dependent insulin release and suppression of glucagon secretion. In this study, we attempted to estimate HbA1c using the change in GA level before and after the first 2 weeks (ΔGA2w) of administration of sitagliptin.

Materials and Methods

Study Patients

The study included 28 outpatients with type 2 diabetes who were receiving sitagliptin (15 males and 13 females). HbA1c levels have been evaluated to confirm the stability of the glycemic control in all of these patients before initiation of sitagliptin treatment. Eight of these cases were administered sitagliptin alone and twelve cases were administered the drug concomitantly with another oral hypoglycemic agent. The mean age was 63.4 ± 13.3 years, and BMI was 24.1 ± 4.3 kg/m2. The baseline HbA1c and GA were 9.4 ± 1.8 and 26.9 ± 7.7%, respectively. Sitagliptin was administered at a dose of 50 mg/day for at least 12 weeks. HbA1c and GA were measured at before and 2, 4, 8 and 12 weeks after administration of sitagliptin. Patients complicated with chronic liver diease, chronic renal disease or anemia were excluded from the study. Rebound cases whose GA levels decreased during the therapy and after then increased by ≥0.5%, were also excluded from the study. This study was approved by the Ethics Committee at each study hospital, and the purpose of the study was explained to all the patients and all patients provided written informed consent.

Laboratory Methods

HbA1c was measured by HPLC using ADAMS A1c HA‐8160 (Arkray Inc., Kyoto, Japan). The value for HbA1c (%) was estimated as a National Glycohemoglobin Standardization Program (NGSP) equivalent value (%), calculated using the formula HbA1c (%) = HbA1c (Japan Diabetes Society: JDS) (%) + 0.4%, considering the relational expression of HbA1c (JDS) (%) measured according to the previous Japanese standard substance and measurement methods and HbA1c (NGSP). Serum GA was determined using a Hitachi 7600 autoanalyzer (Hitachi Instruments Service Co., Tokyo, Japan) employing an enzymatic method using albumin‐specific proteinase, ketoamine oxidase and albumin assay reagent (Lucica GA‐L; Asahi Kasei Pharma Co., Tokyo, Japan). The estimated HbA1c in the first 12 weeks of administration of sitagliptin was calculated using the following formula. Here, ΔGA2w means the difference between baseline GA and GA in the 2 weeks after therapy (baseline GA – GA in the 2 weeks after therapy).

Statistical Analyses

All data are shown as means ± SD. For statistical analyses, the paired Student’s t‐test was used to compare the two groups. Single linear univariate regression analysis was employed to assess the association between continuous variables using the StatView computer program (Version 5.0 for Windows, Abacus Concepts, Berkeley, CA, USA). A P value of <0.05 was considered statistically significant.

Results

HbA1c and GA decreased from 9.4 ± 1.8 to 26.9 ± 7.7% at baseline to 7.8 ± 0.9 and 21.1 ± 4.5%, respectively, in the first 12 weeks of administration of sitagliptin (Figure 1). The decline curve of GA shifted to the left relative to that of HbA1c. Two weeks after administration of sitagliptin, GA had decreased to 24.3 ± 6.6% from 26.9 ± 7.7%, while HbA1c had only slightly decreased to 9.2 ± 2.4% from 9.4 ± 1.8%. As a result of comparing the change in GA before initiation of therapy and after the first 2 weeks of therapy (ΔGA2w), and the change in HbA1c before initiation of therapy and after the first 12 weeks of therapy (ΔHbA1c12w), a significant positive correlation was observed between them (R = 0.793, P < 0.0001) (Figure 2). The ΔGA2w was −2.6 ± 2.6% and ΔHbA1c12w was −1.6 ± 1.4%: that is, the latter was approximately 0.6 times the former. As a result of estimation of HbA1c after 12 weeks based on these relationships, the measured HbA1c after 12 weeks was 7.8 ± 0.9% and the estimated HbA1c (= baseline HbA1c + ΔGA2w × 0.6) was 7.8 ± 1.4%. The ratio of the estimated HbA1c to the measured HbA1c after 12 weeks was 102 ± 15%. A significant positive correlation was observed between the measured HbA1c and the estimated HbA1c after 12 weeks (R = 0.735, P < 0.0001). The regression line (y = x − 0.17) for both values was close to y = x (Figure 3). Furthermore, the ΔGA4w was −4.5 ± 4.8% and we obtained the formula of ΔHbA1c12w = 0.341 × ΔGA4w (R = 0.965, P < 0.0001; n = 18). Since the ΔGA4w was about three times of ΔHbA1c12w, we could also estimate HbA1c levels after 12 weeks by adding ΔGA4w × 1/3 to the baseline HbA1c (measured HbA1c 8.0 ± 1.0% vs estimate HbA1c 8.1 ± 1.1%; n = 18).
Figure 1

 Changes in HbA1c (closed circles) and GA (open circles) levels after administration of sitagliptin. *P < 0.05; **P < 0.001 vs before treatment.

Figure 2

 Correlation between the decrease in GA within the first 2 weeks of sitagliptin therapy (ΔGA2w) and the decrease in HbA1c within the first 12 weeks (ΔHbA1c12w).

Figure 3

 Correlation between the estimated HbA1c (= baseline HbA1c + ΔGA2w × 0.6) and the measured HbA1c after 12 weeks of sitagliptin therapy. The dashed line shows the line of the formula y = x.

Changes in HbA1c (closed circles) and GA (open circles) levels after administration of sitagliptin. *P < 0.05; **P < 0.001 vs before treatment. Correlation between the decrease in GA within the first 2 weeks of sitagliptin therapy (ΔGA2w) and the decrease in HbA1c within the first 12 weeks (ΔHbA1c12w). Correlation between the estimated HbA1c (= baseline HbA1c + ΔGA2w × 0.6) and the measured HbA1c after 12 weeks of sitagliptin therapy. The dashed line shows the line of the formula y = x.

Discussion

After the administration of sitagliptin, GA decreased rapidly, while HbA1c decreased gradually. Takahashi et al. have reported similar changes in GA and HbA1c when intensive insulin therapy was introduced to diabetic patients with poor glycemic control. We also reported patients with type 2 diabetes who had poor glycemic control with intensive insulin therapy and compared the change in GA and HbA1c for 2 weeks after the start of therapy. GA decreased by 10.0%, while HbA1c only slightly decreased by 0.9%. In this study GA decreased by 2.7% after 2 weeks of administration of sitagliptin, while HbA1c only slightly decreased by 0.2%. These results confirmed that GA reflects shorter‐term plasma glucose levels compared with HbA1c and suggest that GA is useful to estimate the therapeutic effects in the early period of treatment. Based on the results of this study, we next examined whether or not HbA1c after 12 weeks could be estimated by GA. A significant positive correlation was observed between the ΔGA2w and the ΔHbA1c12w after administration of sitagliptin (Figure 2). Since the latter was about 0.6 times the former, HbA1c after 12 weeks can be estimated by adding ΔGA2w × 0.6 to the baseline HbA1c. The measured HbA1c levels after 12 weeks were similar to the estimated HbA1c levels (Figure 3). Since GA and HbA1c levels decreased exponentially after treatment for diabetes, the decreased rate of GA or HbA1c is inversely correlated with the half‐life of each. Based on this relationship, we developed an estimation formula for future HbA1c using the change of GA levels over short periods. We investigated the patients with various types of diabetic therapy and confirmed that the estimation formula for HbA1c is adaptable to any patients regardless of the treatment type. In the present study, using the data of GA before and after 2 weeks, estimated HbA1c levels after 12 weeks were 7.7 ± 1.7%, which were similar to measured HbA1c levels (7.8 ± 0.9%). The ratio of the estimated HbA1c to the measured HbA1c after 12 weeks was 102 ± 15%. We already reported that this ratio in patients with diet therapy alone, oral hypoglycemic agents therapy, and insulin therapy were 100 ± 10% (n = 5), 101 ± 8% (n = 17), 103 ± 10% (n = 17), respectively. The ratio in this study was not significantly different from the above data. The HbA1c levels after 12 weeks could, therefore, be estimated using the formula in the present study. Since the formula for estimated HbA1c in the present study is simpler than the formula reported previously, it is clinically useful. However, further study is necessary to confirm whether the formula in the present study can be applied to patients treated with other therapy. Kanazu et al. have previously reported a formula for estimating HbA1c in the first 12 weeks of administration of sitagliptin. However, their formula requires data for the baseline fasting plasma glucose (FPG) and HbA1c, as well as FPG and HbA1c in the first 4 weeks of administration. The estimation formula we devised for this study uses only the data of the baseline GA and GA in the first 2 weeks after administration, and the calculation formula is simple. The advantage is that therapeutic effects can be evaluated rapidly, i.e., in the first 2 weeks of the introduction of therapy. If the estimated HbA1c after 12 weeks does not reach the target value, the therapy could be added to or changed after 2 weeks. We believe that the ability to add to or change the therapy after 2 weeks will enable rapid optimization of glycemic control in most diabetic patients. We were able to estimate the near future HbA1c after treatment for diabetes by the estimation formula for future HbA1c using the GA value in cases including various hypoglycemic drugs, insulin, or diet therapy alone. Therefore, the estimation formula in the present study is likely to be applicable to not only DPP‐4 inhibitors other than sitagliptin, but also to other antidiabetic agents such as sulfonylurea, metformin and thiazolidine. It will, however, be necessary to examine drugs other than sitagliptin using similar studies. In conclusion, the therapeutic effect of sitagliptin could be estimated soon after initiation of therapy by measuring GA before and after 2 weeks of administration of sitagliptin.
  22 in total

Review 1.  Clinical impact of glycated albumin as another glycemic control marker.

Authors:  Masafumi Koga; Soji Kasayama
Journal:  Endocr J       Date:  2010-08-17       Impact factor: 2.349

2.  Comparison of glycated albumin (GA) and glycated hemoglobin (HbA1c) in type 2 diabetic patients: usefulness of GA for evaluation of short-term changes in glycemic control.

Authors:  Satomi Takahashi; Hiroshi Uchino; Tomoaki Shimizu; Akio Kanazawa; Yoshifumi Tamura; Ken Sakai; Hirotaka Watada; Takahisa Hirose; Ryuzo Kawamori; Yasushi Tanaka
Journal:  Endocr J       Date:  2006-12-11       Impact factor: 2.349

3.  Glycated albumin is a better glycemic indicator than glycated hemoglobin values in hemodialysis patients with diabetes: effect of anemia and erythropoietin injection.

Authors:  Masaaki Inaba; Senji Okuno; Yasuro Kumeda; Shinsuke Yamada; Yasuo Imanishi; Tsutomu Tabata; Mikio Okamura; Shigeki Okada; Tomoyuki Yamakawa; Eiji Ishimura; Yoshiki Nishizawa
Journal:  J Am Soc Nephrol       Date:  2007-01-31       Impact factor: 10.121

4.  Predicting steady-state HbA1c responses to sitagliptin in patients with type 2 diabetes mellitus.

Authors:  S Kanazu; Y Horie; M Narukawa; K Nonaka; T Taniguchi; J C Arjona Ferreira; M Takeuchi
Journal:  Diabetes Obes Metab       Date:  2009-05-19       Impact factor: 6.577

5.  Relationship between clinical markers of glycemia and glucose excursion evaluated by continuous glucose monitoring (CGM).

Authors:  Tomoko Suwa; Akio Ohta; Tomoya Matsui; Rieko Koganei; Hiroyuki Kato; Takehiro Kawata; Yukiyoshi Sada; Satoshi Ishii; Akihiko Kondo; Kaori Murakami; Takuyuki Katabami; Yasushi Tanaka
Journal:  Endocr J       Date:  2009-11-19       Impact factor: 2.349

6.  Glycated albumin is a better indicator for glucose excursion than glycated hemoglobin in type 1 and type 2 diabetes.

Authors:  Kazutomi Yoshiuchi; Munehide Matsuhisa; Naoto Katakami; Yoshihisa Nakatani; Kenya Sakamoto; Takaaki Matsuoka; Yutaka Umayahara; Keisuke Kosugi; Hideaki Kaneto; Yoshimitsu Yamasaki; Masatsugu Hori
Journal:  Endocr J       Date:  2008-04-30       Impact factor: 2.349

7.  Nonenzymatic glycosylation of albumin in vivo. Identification of multiple glycosylated sites.

Authors:  N Iberg; R Flückiger
Journal:  J Biol Chem       Date:  1986-10-15       Impact factor: 5.157

8.  The glycosylation of hemoglobin: relevance to diabetes mellitus.

Authors:  H F Bunn; K H Gabbay; P M Gallop
Journal:  Science       Date:  1978-04-07       Impact factor: 47.728

Review 9.  Nonenzymatic glycation: a central mechanism in diabetic microvasculopathy?

Authors:  M P Cohen
Journal:  J Diabet Complications       Date:  1988 Oct-Dec

10.  Report of the committee on the classification and diagnostic criteria of diabetes mellitus.

Authors:  Yutaka Seino; Kishio Nanjo; Naoko Tajima; Takashi Kadowaki; Atsunori Kashiwagi; Eiichi Araki; Chikako Ito; Nobuya Inagaki; Yasuhiko Iwamoto; Masato Kasuga; Toshiaki Hanafusa; Masakazu Haneda; Kohjiro Ueki
Journal:  J Diabetes Investig       Date:  2010-10-19       Impact factor: 4.232

View more
  2 in total

1.  Prediction of the effect on antihyperglycaemic action of sitagliptin by plasma active form glucagon-like peptide-1.

Authors:  Akifumi Kushiyama; Takako Kikuchi; Kentaro Tanaka; Tazu Tahara; Toshiko Takao; Yukiko Onishi; Yoko Yoshida; Shoji Kawazu; Yasuhiko Iwamoto
Journal:  World J Diabetes       Date:  2016-06-11

2.  Clinical Characteristics and Metabolic Predictors of Rapid Responders to Dipeptidyl Peptidase-4 Inhibitor as an Add-on Therapy to Sulfonylurea and Metformin.

Authors:  Ye An Kim; Won Sang Yoo; Eun Shil Hong; Eu Jeong Ku; Kyeong Seon Park; Soo Lim; Young Min Cho; Kyong Soo Park; Hak Chul Jang; Sung Hee Choi
Journal:  Diabetes Metab J       Date:  2015-11-27       Impact factor: 5.376

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.