Chinese herbal medicine for impaired glucose tolerance: a randomized placebo controlled trial
© Grant et al.; licensee BioMed Central Ltd. 2013
Received: 16 June 2012
Accepted: 10 May 2013
Published: 14 May 2013
Diabetes remains a major health problem worldwide. Low-risk low-cost alternatives to pharmaceutical interventions are needed where lifestyle modifications have failed. We conducted a double-blind randomised placebo controlled trial to investigate the efficacy of a Chinese herbal formula, Jiangtang Xiaozhi, in treating impaired glucose control and insulin resistance in persons with prediabetes and controlled diabetes.
Seventy-one patients with prediabetes or ‘controlled’ diabetes were randomised to receive 3 capsules of Jiangtang Xiaozhi (n = 39) or placebo (n = 32) three times daily for 16 weeks with a follow up eight weeks later (week 24). The primary outcome was change in glycaemic control as evidenced by fasting blood glucose (FBG), post-prandial plasma glucose and glycosylated haemoglobin (HbA1c). Other measures included change in fasting insulin, insulin resistance and sensitivity, lipids, C-reactive protein (CRP), body mass index (BMI), waist girth, blood pressure (BP), health related quality of life (HRQoL) and safety. Analysis of covariance (ANCOVA) was used to model outcomes at 16 weeks, by treatment group corrected for baseline level of the outcome variable.
In patients receiving Jiangtang Xiaozhi, FBG was not significantly different (p = 0.73) compared to placebo after 16 weeks of treatment (6.3 ± 1.1 mmol/L vs 6.7 ± 1.3 mmol/L). There was a significant difference (p = 0.04) in the mean levels of fasting insulin between the treatment group (11.6 ± 5.5 mmol/L) and the placebo group (22.1 ± 25.9 mmol/L). Insulin resistance slightly decreased in the treatment group (1.58 ± 0.74) compared to that of the placebo group (2.43 ± 1.59) but this change did not reach statistical significance (p = 0.06). Patients taking Jiangtang Xiaozhi had a significant improvement in high-density lipoprotein (HDL) level compared to the placebo group at week 16 (p = 0.03). Mean levels of cholesterol, triglycerides, BMI, waist-girth, HRQoL, BP, CRP and insulin sensitivity were not significantly different between the two groups. The herbal medicine was well tolerated.
In the current study, the 16 week Jiangtang Xiaozhi treatment did not lower fasting blood glucose, but it improved serum insulin and HDL cholesterol in a Western population with prediabetes or controlled diabetes. Our trial may have been underpowered. Dosage needs to be considered before commencing a longer adequately powered trial.
Australian New Zealand Clinical Trials Registry ACTRN12612000128897;https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=362005
Worldwide it is estimated 285 million adults - equivalent to 6.4% of the population aged 20 to 79 yrs - have diabetes. A further 344 million have impaired glucose tolerance (IGT). Over time, the glucose tolerance of many of these individuals will deteriorate and they will be diagnosed with diabetes. Impaired glucose tolerance, independent of diabetes, carries an increased risk of cardiovascular disease and all-cause mortality[2–4]. At present, the best course of action to reduce higher than normal blood sugar is to modify diet and increase physical activity. For some, rigorous and sustained behavioural change isn’t enough. In these cases pharmaceutical interventions such as metformin may be needed to delay or suppress the onset of diabetes. But this is not always an adequate long-term solution. A Kaplan-Meier analysis showed a cumulative incidence of monotherapy failure at 5 years of 15% with rosiglitazone, 21% with metformin and 34% with glyburide. Low-risk low-cost alternatives to pharmaceutical interventions are clearly needed where lifestyle modifications have failed to adequately improve glucose tolerance.
Individuals with diabetes are 1.6 times more likely to use complementary and alternative medicine (CAM) than individuals without diabetes. However these CAM interventions need to be tested in clinical trials to demonstrate efficacy and safety. Chinese herbal medicines have long been used for the treatment of IGT and diabetes in China, Korea and Japan, with anecdotal evidence of their effectiveness. In a meta-analysis of eight trials, those receiving Chinese herbal medicines with lifestyle modification were more than twice as likely to have their fasting plasma glucose levels return to normal compared to those receiving lifestyle modification alone. Those receiving Chinese herbs were less likely to progress to diabetes over the duration of the trials. These trials were at considerable risk of bias due problems with randomisation, allocation concealment or blinding. Nonetheless the strength of the findings warrants further investigation.
Jiangtang Xiaozhi is a Chinese herbal formulation based on traditional Chinese medicine principles, modern research and clinical experience. Animal studies and a small clinical trial of Jiangtang Xiaozhi, along with studies of the effects of the individual herbs, have produced encouraging results[8–10]. In this article we report the findings from a randomized controlled trial evaluating the effect of Jiangtang Xiaozhi on blood glucose, insulin and lipids in people with IGT and controlled diabetes.
Patient and recruitment
Individuals were recruited across Sydney and the Central Coast of NSW, Australia through media (radio, television, newspapers), by approaching general practitioners, direct mail to specialised databases and presentations at forums for practitioners working in the field of diabetes. We included men and women over the age of 18 years of age with prediabetes or ‘controlled’ type 2 diabetes. Prediabetes is defined as having a fasting plasma glucose (FPG) level of <7.0 and 2 hr plasma glucose load level ≥ 7.8 and <11.0). ‘Controlled’ diabetes is not a standard medical diagnosis and was defined for the purpose of this study as people diagnosed within the last five years, whose diabetes was diet and exercise controlled and were not on any medication to control their blood glucose levels. Selection criteria were designed to ensure a heterogeneous population. We excluded individuals with conditions or treatments that would interfere with participation or completion of the protocol such as an underlying disease likely to limit life span or increase the risk of the intervention, or that had a confounding effect on the outcomes of the study, such as medication or a disease related to metabolism such as Cushing's syndrome. Baseline characteristics on age, sex, ethnicity, family history of diabetes, history of hypertension, smoking or use of cholesterol lowering or anti-hypertensive medication were collected at enrolment using an interviewer administered questionnaire.
Recruitment took place from June 2007 to December 2009. A formidable recruitment challenge was that prediabetes is asymptomatic and not recognised as a potentially serious condition. The trial was approved by the Human Research Ethics Committee at the University of Western Sydney, Australia. All participants gave written informed consent. This trial is registered with the Australian and New Zealand Clinical Trials Registry.
A computer-generated randomisation list was used for treatment allocation in a 1:1 ratio. Randomisation was conducted by the UWS trial coordinator who was external to the trial. Participants and investigators were masked to group assignment. Unequal group size may have arisen due to one treatment occurring with greater frequency at the beginning of the randomisation list, as the study was terminated midway through the list. The medication was sealed in sequentially numbered identical packets according to the allocation sequence. The UWS trial coordinator supplied labelled packets of the interventions as required. Participants and investigators were blind to the treatment allocated until the completion of data analysis.
Herbal intervention and treatment schedules
Composition of Jiangtang Xiaozhi capsules
Dosage of 3 tablets
Nu Zhen Zi (Ligustrum lucidum Ait.; Oleaceae; privet fruit)
Huang Qi (Astragalus membranaceus (Fisch.) BGE; Fabaceae; milk vetch root)
Huang Lian (Coptis chinensis Franch.; Ranunculaceae; coptis rhizome)
Li Zhi He (Litchi chinensis SONN.; Sapindaceae; lyechee nut)
Kun Bu (Ecklonia kurome OKAM.; Alariaceae; kelp)
Jiang Huang (Curcuma longa L.; Zingiberaceae; tumeric rhizome)
Both the Jiangtang Xiaozhi Capsule and the placebo were manufactured in China by Tianjin Zhongxin Pharmaceutical Group Corporation Ltd, a pharmaceutical manufacturer in China with an Australian Good Manufacturing Practice (GMP) license issued by the Therapeutic Goods Administration (TGA).
Participants were randomly allocated to receive either 3 Jiangtang Xiaozhi capsules or a placebo three times a day for 16 weeks. Participants were asked not to alter their diet or exercise habits during the intervention period. This was monitored at monthly visits. A double blind follow up visit was conducted 8 weeks after the completion of the treatment.
Primary outcomes were the change in fasting blood glucose (FBG), post-prandial plasma glucose and glycosylated haemoglobin (HbA1c) in the Chinese herbal medicine group from baseline to the conclusion of the trial compared to a placebo. Prediabetes is currently detected using FBG and followed up with a 2 hr oral glucose tolerance test (OGTT) to exclude diabetes. The utility of HbA1c as a measure to detect and monitor prediabetes is currently being investigated and may supersede the combination of FBG and the OGTT. All three tests (FBG, 2 hr OGTT and HbA1c) are highly correlated, therefore the inflation of the experiment-wise error rate arising from multiple testing will be slight. The secondary outcomes were selected with a view to helping explain the primary outcome results, and shedding light on how the intervention might affect other risk factors for diabetes. The secondary outcomes were insulin, CRP protein, BMI and waist girth, lipids, blood pressure and health-related quality of life.
Fasting blood glucose, insulin and CRP were collected at 4 weekly intervals during the intervention. Post prandial glucose as measured by an OGTT was collected at baseline, trial completion (week 16) and at follow up (week 24). Fasting blood glucose and the OGTT was conducted after an overnight fast of at least 10–12 hours and 3 days of carbohydrate loading using a standard 75-g oral glucose tolerance test. HbA1c and lipids were measured at baseline, weeks 8, 16 and 24. Blood pressure, weight and waist girth were collected at weeks 0, 4, 8, 12, 16 and 24. Data on health related quality of life (HRQoL) was collected using the 36-item short-form health survey Version 2 (SF-36v2) at weeks 0, 16 and week 24.
The Homeostatic model assessment (HOMA) was used to assess beta-cell dysfunction and insulin resistance. HOMA%S is a measure of insulin sensitivity, HOMA%B is a measure of beta-cell function, and HOMA-IR is a measure of insulin resistance. The results of all three measures need to be reported together for proper interpretation. HOMA was selected as the model to use in this trial for two reasons. Firstly, it has been widely used and validated in a number of studies and has been found to correlate well with the euglycaemic clamp method. Secondly, the sampling is simple, inexpensive and non-intrusive.
We calculated the sample size required to detect an effect size of 0.6 (i.e. mean change in the outcome variable over time differs by at least 0.6 standard deviations between the two groups), at the α = 0.05 significance level, with 80% power to be 45 per group. An effect size of 0.6 is generally viewed as a medium to large effect. We sought to enrol 50 per group to allow for 10% withdrawal and non-compliance. These calculations were based on the changes found in an earlier study of Jiangtang Xiaozhi in people with diabetes.
Descriptive statistics and independent samples t-tests and 95% confidence intervals were used to compare the baseline characteristics of the two study groups (active treatment and placebo). All variables were visually inspected for normality. Fasting insulin, HOMA-IR, HOMA insulin sensitivity and HOMA beta cell were non-normally distributed. These data were log transformed to improve kurtosis and skewness before applying parametric statistical tests. HOMA estimates are usually not normally distributed. Results were back transformed for presentation in the tables. The primary research objective was to compare change in glycaemic control after 16 weeks of treatment with either Jiangtang Xiaozhi capsules or placebo. Unless otherwise indicated, results are presented for the intention-to-treat (ITT) analysis. Analysis of covariance (ANCOVA) was used to model outcome at 16 weeks, by treatment group corrected for baseline level of the outcome variable. Each outcome variable was modelled separately. Baseline referred to data collected before any treatment was received. Post-hoc testing using pairwise comparisons of the estimated marginal means was used for within group analysis across the trial phases.
Statistical analyses were performed using SPSS for Windows version 17 (SPSS, Chicago, IL). A p value of <0.05 was considered statistically significant. Last observation carried forward (LOCF) was used for missing observations.
Baseline demographic and clinical variables
Age and Sex
Male/Female - n
Age - mean (range) age (years)
Plasma glucose - mmol/L (SD)
6.3 (. 9)
Two hours after an oral glucose load
10. 5 (2.3)
Glycosylated haemoglobin -% (SD)
6.4 (. 7)
6.3 (. 6)
Glycosylated haemoglobin - n ≥ 7%
Fasting insulin - mmol/L (SD)
Serum lipids - mmol/L (SD)
4.5 (. 9)
1.7 (. 9)
1.3 (. 4)
1.5 (. 4)
C-reactive protein - mg/L (SD)^
Systolic blood pressure - mmHg (SD)^
Diastolic blood pressure - mmHg (SD)^
Body mass index - kg/m 2 (SD)
Weight - kg (SD)
80. 5 (15.1)
Waist - cm (SD)a
Waist-to-hip ratio - waist/hips (SD)
. 97 (. 19)
. 88 (. 07)
Diagnosed with type 2 diabetes - n
History of high lipids - n
Taking medication for cholesterol - n
Currently taking prescription medication - n
Currently taking vitamins, minerals or herbal supplements - n
Fasting blood glucose
Fasting blood glucose (mmol/L)
6.3 ± 0.9
6.3 ± 1.1
6.7 ± 1.0
6.7 ± 1.3
Postprandial blood glucose (mmol/L)
10.45 ± 2.3
9.66 ± 2.6*
10.98 ± 2.9
10.60 ± 3.4
6.4 ± 0.7
6.5 ± 0.7
6.3 ± 0.6
6.4 ± 0.6
11.8 ± 6.9
11.6 ± 5.5
15.5 ± 9.7
22.1 ± 25.9
1.63 ± 0.91
1.58 ± 0.74
2.06 ± 1.28
2.43 ± 1.59
81.52 ± 34.5
83.5 ± 38.1
86.51 ± 36.78
98.83 ± 48.29
81.84 ± 48.12
79.72 ± 44.14
72.78 ± 46.42
62.67 ± 38.48
Total cholesterol (mmol/L)
4.91 ± 1.03
4.96 ± 0.94
4.47 ± 0.85
4.56 ± 0.81
HDL cholesterol (mmol/L)
1.45 ± 0.44
1.54 ± 0.53
1.28 ± 0.30
1.24 ± 0.30
1.6 ± 0.64
1.6 ± 0.76
1.67 ± 0.93
1.59 ± 0.86
C-reactive protein (mg/L)
6.7 ± 7.6
4.66 ± 1.77
6.73 ± 5.25
5.18 ± 3.0
80.5 ± 15.1
80.4 ± 15.0
92.0 ± 28.5
91.8 ± 28.6
29.8 ± 4.9
31.0 ± 1.8
32.0 ± 8.0
31.2 ± 1.8
97.6 ± 11.1
98.6 ± 12.4
109.9 ± 22.1
106.3 ± 18.6
Systolic blood pressure (mmHg)
124.5 ± 13.3
124.1 ± 15.5
134.4 ± 14.0
130.1 ± 16.1
Diastolic blood pressure (mmHg)
76.4 ± 11.1
71.7 ± 8.6
81.7 ± 74.3
74.3 ± 2.2
2 hr post prandial blood glucose levels were not significantly different between groups at the completion of treatment in week 16 (p =0.51) (Table 2). However, 2 hr postload glucose tended to decrease in the Jiangtang Xiaozhi group compared to baseline (p =0.03).
There was a significant difference between the placebo and the Jiangtang Xiaozhi group (p =0.04) at week 16. Mean levels of insulin at the end of the intervention, shown in Table 3, were 22.1 ± 25.9 mmol/L in the placebo group and 11.6 ± 5.5 mmol/L in the Jiangtang Xiaozhi group. At follow-up, the significant difference between the insulin levels of the two groups was no longer apparent.
Due to the high standard deviation at week 16 in the placebo group, data was examined for confounding factors such as outliers. None were identified. Recall that data were log transformed for ANCOVA and t-test analysis to address skewness and kurtosis and ensure the requirements of the statistical tests were met.
Insulin resistance and sensitivity
After 16 weeks of treatment, there was a trend toward improved insulin resistance in the intervention group, although this narrowly failed to reach statistical significance (p = 0.06). HOMA-IR remained fairly steady in both groups from baseline until Week 16 when an increase in levels was observed in the placebo group. Levels in the placebo group had returned to baseline levels at follow up. From baseline to Week 24, there was no significant difference between the two groups (p = 1.0).
There was no significant difference between the two groups in HOMA%B or HOMA%S levels at Week 16.
Insulin sensitivity within the placebo group declined over the period of trial, although this failed to reach statistical significance (p =0.35). In the Jiangtang Xiaozhi group, insulin sensitivity improved moderately at the outset of the trial, remained stable and returned to similar pre-treatment levels at Week 24. The placebo group showed a slight decline in insulin sensitivity but returned to pre-treatment levels by Week 24. Mean levels were 70.3 ± 39.2 and 74.4 ± 41.1 in the placebo and Jiangtang Xiaozhi groups respectively.
For HDL cholesterol, there was a significant improvement in the Jiangtang Xiaozhi group compared to placebo at the end of the treatment period (p = 0.03). Mean levels in the placebo group had slightly decreased (1.24 ± 0.30 mmol/L) compared to baseline and increased in the Jiangtang Xiaozhi group (1.54 ± 0.53 mmol/L). At follow up, there was no longer a significant difference between the two groups at follow up at week 24 (p = 0.11).
There was no significant difference in total cholesterol (p = 0.46) or triglycerides (p = 0.92) between the treatment and placebo group at the completion of the treatment phase of the trial.
Quality of life
We found no post-treatment in any of the eight dimensions of the SF-36 between the Jiangtang Xiaozhi group and the placebo group. It is of interest, however, that our clinical trial cohort had poorer quality of life on three of the eight dimensions of the SF-36: vitality, role limitations due to emotional problems and mental health when compared with the age relevant cohort (55–64 yrs) and all-age Australian norms.
At 16 weeks, there was no significant difference between the two groups on BMI, waist circumference, CRP, blood pressure or HRQoL. No differences were found at follow up eight weeks later.
Behaviour change in physical and dietary habits was measured at different time intervals throughout the trial as it is known to affect blood glucose and insulin levels. There was no significant change in any group on nutritional intake or physical activity from baseline to the completion of the trial.
Safety and adverse events
The liver function of all participants was assessed at the baseline and throughout the trial to monitor for any possible adverse reactions. Jiangtang Xiaozhi was well tolerated with no serious adverse events. There were no significant abnormalities in liver function noted in either group.
No fatalities or major adverse events occurred during the trial. One participant in the intervention group developed moderate dizziness within 24 hours of the medication. The participant stopped the medication for 24 hours and the dizziness ceased. A rechallenge produced similar symptoms and as a result the participant was withdrawn from the trial. This patient was later found to be in the Jiangtang Xiaozhi group.
Blinding was effective with only 25% of participants correctly identifying their group in the first four weeks and 27% in the final four weeks of the intervention.
Discussions and conclusions
Effect on blood glucose
In the present study, we found no significant differences on any of the glycaemic outcome measures between the Jiangtang Xiaozhi and placebo groups at completion of the treatment. However, the study yielded three positive findings on secondary outcomes. First, levels of insulin resistance (HOMA-IR) were lower than those in the placebo group. Second, serum insulin slightly decreased in the treatment group compared to worsening levels in the placebo group, resulting in a borderline significant difference between groups. Third, HDL cholesterol was significantly improved in Jiangtang Xiaozhi group compared to the placebo. The absence of a detectable glycaemic measures in this trial contradicts with the previous clinical trial. In this earlier trial in a group with type 2 diabetes, plasma glucose levels reduced significantly from baseline after 8 weeks treatment by −1.71 ± 2.52 mmol/L compared to −0.72 ± 4.17 mmol/L in the pioglitazone group. Postprandial plasma glucose and HbA1c also both showed a significant difference compared to baseline (11.41 ± 2.63 mmol/L to 9.91 ± 1.93 mmol/L and 7.35 ± 1.87% to 6.73 ± 1.02%, respectively). The reasons for this discrepancy can be complex. However, possible explanations may include: (a) this herbal medicine may be ineffective in treating elevated glucose levels in people with IGT; (b) it may be that the size of the sample was not sufficiently large to detect an effect, particularly given the transient nature of IGT; (c) an effect might only occur with greater symptom severity at baseline. The fourth possibility is that the dosage of Jiangtang Xiaozhi was not adequate. Our clinical trial cohort was largely overweight and obese with a mean BMI of 30.8 kg/m2, which may also affect the efficacy of an intervention.
A significant improvement within the Jiangtang Xiaozhi group on postprandial plasma glucose levels at the completion of the treatment was identified compared to baseline. Measuring change from baseline is an acceptable and meaningful statistic where baseline levels are comparable between the intervention and placebo groups, which in our case they were. Hyperglycaemia in prediabetes is primarily postprandial in nature. The body is unable to control blood glucose adequately after a loading of ‘sugar’. It is these postprandial ‘spikes’ in blood glucose levels that are thought to be toxic to the beta-cells and cause them to dysfunction. Perhaps Jiangtang Xiaozhi may be of assistance in reducing these ‘spikes’.
Effect on insulin
Insulin resistance is a decreased responsiveness of target tissues - skeletal and myocardial myocytes, hepatocytes, and adipocytes - to normal levels of circulating insulin (Setsi 2006). In our placebo group, higher levels of insulin resistance (HOMA-IR) accompanied higher levels of serum insulin. This is to be expected. Greater serum insulin levels are seen in those with higher insulin resistance. A smaller insulin response is anticipated in those with better insulin sensitivity. At week 16 of treatment, there was a trend for insulin resistance to improve in the Jiangtang Xiaozhi group compared to the placebo group, but the change narrowly missed statistical significance.
However, the level of change detected in insulin resistance in our trial may only have marginal clinical significance. Cut-off values for normal HOMA-IR are considered to lie somewhere between 2.5 and 4.1[17, 22, 23]. At these values our clinical trial cohort would be considered to be in the non-clinical range at the start of the trial with levels of 2.12 ± 1.30 and 1.60 ± 0.92 in the placebo and Jiangtang Xiaozhi groups respectively. The 3 month clinical trial of the herbal extract, berberine, found a clinical and statistically significant difference with HOMA-IR reducing from 3.9 to 2.44 in people with diabetes not IGT. Perhaps our clinical trial cohort was overall too well at baseline and our sample did not allow for sufficient power to detect change from these baselines.
In the present study, mean beta-cell function (HOMA%B) increased in the placebo group from 87% to 99% but not to a statistically significant degree while remaining stable in the Jiangtang Xiaozhi group (82% to 84%). These results could be interpreted as a trend towards improvement in the beta-cell function of the placebo group. However, beta-cell function needs to be interpreted in the context of serum insulin, insulin sensitivity and insulin resistance.
Typically a beta-cell or HOMA%B value that is closer to 100% is associated with better beta-cell function[17, 25–27]. Why then in the placebo group, compared to the Jiangtang Xiaozhi group, would insulin secretion increase, insulin sensitivity decrease but beta-cell function (HOMA%B) appear to improve? One explanation may be that a ‘high’ HOMA%B does not always equate to better beta-cell functioning but perhaps the opposite.
When insulin sensitivity is improved, beta-cell activity may be reduced – the beta-cells of the pancreas simply don’t have to work as hard anymore. This explanation is supported by several longitudinal studies which have shown that decreased beta-cell function as represented by HOMA%B does not, on its own, seem to predict the development of diabetes. A five year study of 12,924 non-diabetic Koreans examined the role of HOMA%B in predicting the development of diabetes. They found that the HOMA%B baseline value was actually higher in those who went on to develop diabetes. Another study which utilised HOMA to predict the development of diabetes concluded that whereas low insulin secretion may be adequate for an insulin sensitive patient, the same level of beta-cell function may be inadequate for another patient. The developers of the HOMA instrument have indeed pointed out that “HOMA-%B is a measure of beta-cell activity, not of beta-cell health or pathology” and that HOMA%B values need to be considered alongside HOMA%S and HOMA-IR. Therefore what may have been happening in the placebo group was the natural progression of diabetes: an increase in insulin secretion combined with a rise in beta-cell activity (HOMA%B) coupled with a rise in insulin resistance (HOMA-IR) indicating that the beta-cells are working harder. Whereas in the Jiangtang Xiaozhi group the insulin measures, stable serum insulin, stable insulin sensitivity and reduced insulin resistance compared to the worsening insulin measure in the placebo group indicate that progression has perhaps stalled but not reversed.
Nonetheless, the degree to which the intervention appeared to maintain insulin sensitivity levels, restrain insulin secretion and thereby help preserve beta-cell function does warrant further investigation. Worsening of impaired glucose tolerance, progressing to frank diabetes is generally accepted as a consequence of insulin resistance, impaired insulin secretion and pancreatic beta-cell failure[30–32]. While the relative contribution of each of these factors is still a subject for debate, we do know that insulin resistance plays a key role and this is evidenced by a number of longitudinal and cross-sectional studies.
Effect on cholesterol
People with diabetes often have abnormally low levels of HDL cholesterol and high levels of triglycerides. There is also a strong association between dyslipidaemia and insulin resistance. We found that high-density lipoprotein cholesterol (HDL), otherwise known as the ‘good’ cholesterol, improved post-treatment in the Jiangtang Xiaozhi group compared to the placebo group. Cholesterol lowering medication was being taken by nearly all our clinical trial participants. When analysed as a covariant there was no significant effect exerted by cholesterol lowering medication consumption on any of the lipid results.
The mean post-treatment increase of 0.10 mmol/L in HDL-cholesterol in the Jiangtang Xiaozhi group represents a 6% change from baseline and is thus of some clinical significance. In a pooled analysis of four clinical trials of statins, individuals with a ≥7.5% increase in HDL cholesterol in conjunction with lowered LDL had a reduced incidence of coronary atherosclerosis.
A new approach toward treating dyslipidaemia alongside high blood glucose levels has been to target insulin resistance. Thus, a possible explanation for the improved HDL levels in the Jiangtang Xiaozhi group may have been improved insulin resistance. Our results indicate Jiangtang Xiaozhi both improves HDL levels and stabilises insulin. This is a particularly encouraging clinically relevant finding as it signifies the potential of the Jiangtang Xiaozhi to treat two conditions and thus avoid some of the problems inherent with polypharmacy.
Limitations of our study
Our study has several limitations. Firstly, our sample size may have lacked sufficient statistical power to detect a clinically significant change in FBG and to adequately account for the transient nature of people with IGT. Secondly, the intervention period may have been too short to allow for the natural progression of impaired glucose tolerance. A further limitation relates to the methodology of the outcome measures. We used HOMA to assess insulin resistance and sensitivity as a cost effective method with validity for clinical trials. The use of the euglycaemic clamp method to assess insulin sensitivity may have provided a more accurate result. Clamp methods are not feasible in large studies. Likewise we used only one insulin measure and this may not have sufficiently accounted for intra-individual variation. A final limitation was dosage. The dosage used in our trial was significantly less than that used in the trial of Jiangtang Xiaozhi in people with diabetes (34 grams per day compared to 75 grams per day in the first study). It is also likely that therapeutic doses weren’t reached by some participants. The regime of three tablets three times a day is a difficult dosage regime. Although a final pill count was undertaken not all participants returned leftover medication. Simpler, less frequent dosing regimens result in better compliance.
In summary, although Jiangtang Xiaozhi did not significantly change blood glucose levels, the intervention was associated with some positive effect on insulin and HDL. The positive results of Jiangtang Xiaozhi in reducing postprandial glucose indicate that a higher level of baseline severity in blood glucose symptoms might yield more reliable findings. Our analysis was considerably underpowered. A longer study, in line with other interventions in this population group, to allow for the natural progression of the disease may also bring forth an effect on fasting blood glucose. The strength of this study was that it was a robust double-blinded, placebo controlled trial conducted according to rigorous scientific methodology.
The safety of this herbal formulation and its components has been demonstrated in animal and human studies. The lack of, or minimal, side effects provide a considerable advantage over many of the current pharmaceutical treatments used for the treatment of prediabetes and controlled diabetes.
In light of the growing epidemic of diabetes worldwide, preventing or delaying the onset of diabetes may likewise reduce the microvascular and macrovascular complications of the disease. It is worthwhile investigating the potential of Jiangtang Xiaozhi to decrease blood glucose levels and reduce or prevent the incidence of diabetes in a longer, adequately powered trial.
The authors would like to acknowledge Paul Fahey for his statistical assistance during the preparation of this manuscript.
- International Diabetes Federation: IDFDiabetes Atlas. 2007, Brussels, Belgium: International Diabetes Federation,http://www.idf.org/diabetesatlas, 3,Google Scholar
- Barr E, Cameron A, Balkau B, Zimmet P, Welborn T, Tonkin A, Shaw J: HOMA insulin sensitivity index and the risk of all-cause mortality and cardiovascular disease events in the general population: the australian diabetes, obesity and lifestyle study (AusDiab) study. Diabetologia. 2009, 10.1007/s00125-009-1588-0.Google Scholar
- Coutinho M, Gerstein HC, Wang Y, Yusuf S: The relationship between glucose and incident cardiovascular events. A metaregression analysis of published data from 20 studies of 95,783 individuals followed for 12.4 years. Diabetes Care. 1999, 22 (2): 233-240. 10.2337/diacare.22.2.233.View ArticlePubMedGoogle Scholar
- Gerstein HC: Fasting versus postload glucose levels. Diabetes Care. 2001, 24 (11): 1855-1857. 10.2337/diacare.24.11.1855.View ArticlePubMedGoogle Scholar
- Kahn SE, Haffner SM, Heise MA, Herman WH, Holman RR, Jones NP, Kravitz BG, Lachin JM, O'Neill MC, Zinman B: Glycemic durability of rosiglitazone, metformin, or glyburide monotherapy. N Engl J Med. 2006, 355 (23): 2427-2443. 10.1056/NEJMoa066224.View ArticlePubMedGoogle Scholar
- Egede LE, Ye X, Zheng D, Silverstein MD: The prevalence and pattern of complementary and alternative medicine use in individuals with diabetes. Diabetes Care. 2002, 25 (2): 324-329. 10.2337/diacare.25.2.324.View ArticlePubMedGoogle Scholar
- Grant SJ, Chang D, Kiat H, Klupp NL, Liu JP, Li X: Chinese herbal medicines for people with impaired glucose tolerance or impaired fasting blood glucose. Cochrane Database Syst Rev. 2009, CD006690-10.1002/14651858. CD006690.pub2, 4
- Efird J: Blocked randomization with randomly selected block sizes. Int J Environ Res Public Health. 2011, 8 (1): 15-20.View ArticlePubMedGoogle Scholar
- Chen Z, Xia C, Wei Z: Clinical study of Jiangtang Xiaozhi capsule in treating type 2 diabetes mellitus patients. Chin J Integr Tradit Chin Med. 2012, 32 (7): 910-913.Google Scholar
- Ge Z, Jin L, Yan A, Dong X, Liu J, Liu J: Study of Jiangtang Xiaozhi on decreasing blood glucose in rat and mouse models of diabetes mellitus. Chin J Exp Tradit Med Formulae. 2010, 16 (16): 143-416.Google Scholar
- Twigg SMKM, Davis TM, Neylon EK, Flack JR: Prediabetes: a position statement from the australian diabetes society and australian diabetes educators association. Med J Australia. 2007, 186 (9): 461-465.PubMedGoogle Scholar
- Saudek CD, Derr RL, Kalyani RR: Assessing glycemia in diabetes using self-monitoring blood glucose and hemoglobin A1c. JAMA. 2006, 295 (14): 1688-1697. 10.1001/jama.295.14.1688.View ArticlePubMedGoogle Scholar
- Bender R, Lange S: Adjusting for multiple testing – when and how?. J Clin Epidemiol. 2001, 54: 343-349. 10.1016/S0895-4356(00)00314-0.View ArticlePubMedGoogle Scholar
- Ware JE, Kosinski M, Dewey JE: How to score version 2 of the SF-36 health survey. 2000, Lincoln: Quality Metric IncGoogle Scholar
- Levy JC, Matthews DR, Hermans MP: Correct homeostasis model assessment (HOMA) evaluation uses the computer program. Diabetes Care. 1998, 21 (12): 2191-2192. 10.2337/diacare.21.12.2191.View ArticlePubMedGoogle Scholar
- Emoto M, Nishizawa Y, Maekawa K, Yoshikazu H: Homeostasis model assessment as a clinical index of insulin resistance in type 2 diabetic patients treated with sulfonylureas. Diabetes Care. 1999, 22 (5): 818-822. 10.2337/diacare.22.5.818.View ArticlePubMedGoogle Scholar
- Wallace TMLJC, Matthews DR: Use and abuse of HOMA modeling. Diabetes Care. 2004, 27 (6): 1487-1495. 10.2337/diacare.27.6.1487.View ArticlePubMedGoogle Scholar
- Hawthorne G, Osborne R, Taylor A, Sansoni J: The SF36 Version 2: critical analyses of population weights, scoring algorithms and population norms. Qual Life Res. 2007, 16 (4): 661-673. 10.1007/s11136-006-9154-4.View ArticlePubMedGoogle Scholar
- Santaguida PL, Balion C, Hunt D, Morrison K, Gerstein H, Raina P, Booker L, Yazdi H: Diagnosis, Prognosis, and Treatment of Impaired Glucose Tolerance and Impaired Fasting Glucose. Evidence Report/Technology Assessment No. 128. (Prepared by the McMaster University Evidence-based Practice Center under Contract No. 290-02-0020). AHRQ Pub. No 05-E026-2. 2005, Rockville, MD: Agency for Healthcare Research and QualityGoogle Scholar
- Fischer S, Hanefeld M, Spengler M, Boehme K, Temelkova-Kurktschiev T: European study on dose–response relationship of acarbose as a first-line drug in non-insulin-dependent diabetes mellitus: efficacy and safety of low and high doses. Acta Diabetol. 1998, 35 (1): 34-40. 10.1007/s005920050098.View ArticlePubMedGoogle Scholar
- Robertson RP, Harmon J, Tran PO, Tanaka Y, Takahashi H: Glucose toxicity in β-cells: type 2 diabetes, good radicals gone Bad, and the glutathione connection. Diabetes. 2003, 52 (3): 581-587. 10.2337/diabetes.52.3.581.View ArticlePubMedGoogle Scholar
- Ramachandran B, Kandaswamy M, Narayanan V, Subramanian S: Insulin mimetic effects of macrocyclic binuclear oxovanadium complexes on streptozotocin-induced experimental diabetes in rats. Diabetes Obes Metab. 2003, 5 (6): 455-461. 10.1046/j.1463-1326.2003.00302.x.View ArticlePubMedGoogle Scholar
- Snehalatha C, Mary S, Selvam S, Sathish Kumar CK, Shetty SBA, Nanditha A, Ramachandran A: Changes in insulin secretion and insulin sensitivity in relation to the glycemic outcomes in subjects with impaired glucose tolerance in the indian diabetes prevention programme-1 (IDPP-1). Diabetes Care. 2009, 32 (10): 1796-1801. 10.2337/dc09-0676.View ArticlePubMedPubMed CentralGoogle Scholar
- Zhang Y, Li X, Zou D, Liu W, Yang J, Zhu N, Huo L, Wang M, Hong J, Wu P: Treatment of type 2 diabetes and dyslipidemia with the natural plant alkaloid berberine. J Clin Endocrinol Metab. 2008, 93 (7): 2559-2565. 10.1210/jc.2007-2404.View ArticlePubMedGoogle Scholar
- Lyssenko V, Almgren P, Anevski D, Perfekt R, Lahti K, Nissén M, Isomaa B, Forsen B, Homström N, Saloranta C: Predictors of and longitudinal changes in insulin sensitivity and secretion preceding onset of type 2 diabetes. Diabetes. 2005, 54 (1): 166-174. 10.2337/diabetes.54.1.166.View ArticlePubMedGoogle Scholar
- UKPDS Group: U.K. Prospective diabetes study 16: overview of 6 years' therapy of type II diabetes, a progressive disease.(U.K. Prospective diabetes study group). Diabetes. 1995, 44 (11): 1249-1210View ArticleGoogle Scholar
- Weyer CB, Mott CDM, Pratley RE: The natural history of insulin secretory dysfunction and insulin resistance in the pathogenesis of type 2 diabetes mellitus. J Clin Invest. 1999, 104 (6): 787-794. 10.1172/JCI7231.View ArticlePubMedPubMed CentralGoogle Scholar
- Sung KRGK S: Utility off homeostasis model assessment of [beta]-cell function in predicting diabetes in 12,924 healthy koreans. Diabetes Care. 2010, 33 (1): 200-202. 10.2337/dc09-1070.View ArticleGoogle Scholar
- Haffner SM, Kennedy E, Gonzalez C, Stern MP, Miettinen H: A prospective analysis of the HOMA model. The Mexico city diabetes study. Diabetes Care. 1996, 19 (10): 1138-1141. 10.2337/diacare.19.10.1138.View ArticlePubMedGoogle Scholar
- Haffner SM, Gaskill HSP: Decreased insulin secretion and increased insulin resistance are independently related to the 7-year risk of NIDDM in Mexican-Americans. Diabetes. 1995, 44: 1386-1391. 10.2337/diabetes.44.12.1386.View ArticlePubMedGoogle Scholar
- Kanauchi M, Nakajima M, Saito Y, Kanauchi K: Pancreatic beta-cell function and insulin sensitivity in japanese subjects with impaired glucose tolerance and newly diagnosed type 2 diabetes mellitus. Metabolism. 2003, 52 (4): 476-481. 10.1053/meta.2003.50078.View ArticlePubMedGoogle Scholar
- Levy J, Atkinson AB, Bell PM, McCance DR, Hadden DR: Beta-cell deterioration determines the onset and rate of progression of secondary dietary failure in type 2 diabetes mellitus: the 10-year follow-up of the belfast diet study. Diabet Med. 1998, 15 (4): 290-296. 10.1002/(SICI)1096-9136(199804)15:4<290::AID-DIA570>3.0.CO;2-M.View ArticlePubMedGoogle Scholar
- Martens FMAC, Visseren FLJ, Lemay J, de Koning EJP, Rabelink TJ: Metabolic and additional vascular effects of thiazolidinediones. Drugs. 2002, 62 (10): 1463-1480. 10.2165/00003495-200262100-00004.View ArticlePubMedGoogle Scholar
- Festa AMD, Hanley AJGP, Tracy RPP, D'Agostino RJP, Haffner SMMD: Inflammation in the prediabetic state is related to increased insulin resistance rather than decreased insulin secretion. [Report]. Circulation. 2003, 108 (15): 1822-1830. 10.1161/01.CIR.0000091339.70120.53.View ArticlePubMedGoogle Scholar
- Nicholls SJ, Tuzcu EM, Sipahi I, Grasso AW, Schoenhagen P, Hu T, Wolski K, Crowe T, Desai MY, Hazen SL: Statins, high-density lipoprotein cholesterol, and regression of coronary atherosclerosis. JAMA. 2007, 297 (5): 499-508. 10.1001/jama.297.5.499.View ArticlePubMedGoogle Scholar
- Pavo I, Jermendy G, Varkonyi TT, Kerenyi Z, Gyimesi A, Shoustov S, Shestakova M, Herz M, Johns D, Schluchter BJ: Effect of pioglitazone compared with metformin on glycemic control and indicators of insulin sensitivity in recently diagnosed patients with type 2 diabetes. J Clin Endocrinol Metab. 2003, 88 (4): 1637-1645. 10.1210/jc.2002-021786.View ArticlePubMedGoogle Scholar
- Claxton AJ, Cramer J, Pierce C: A systematic review of the associations between dose regimens and medication compliance. Clin Ther. 2001, 23 (8): 1296-1310. 10.1016/S0149-2918(01)80109-0.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6882/13/104/prepub
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