Skip to content


  • Original investigation
  • Open Access

Differential response in levels of high-density lipoprotein cholesterol to one-year metformin treatment in prediabetic patients by race/ethnicity

Cardiovascular Diabetology201514:79

  • Received: 22 April 2015
  • Accepted: 3 June 2015
  • Published:



As a first-line diabetes drug that is widely prescribed around the world, metformin has been demonstrated to be effective in reducing microvascular risk, in addition to lowering glucose levels. Specifically, metformin use has been shown to be associated with improved lipid profiles, such as increased levels of high-density lipoprotein cholesterol (HDL-C). However, no study has been performed to examine the differential response in HDL-C levels to metformin treatment by race/ethnicity.


Here, based on a re-analysis of the data from the Diabetes Prevention Program, which involved pre-diabetic participants receiving 850 mg of metformin twice daily, we compared the lipid profile changes following the metformin use. The participants were composed of 602 Whites, 221 African Americans (AAs) and 162 Hispanics.


We found that the one-year metformin treatment resulted in a significant increase in HDL-C levels in Whites (p = 0.002) and AAs (p = 0.016), but not in Hispanics. Consistently, both Whites (p = 0.018) and AAs (p = 0.020) had more pronounced changes in HDL-C levels than Hispanics following metformin treatment.


This result suggests a notion that Whites and AAs are more responsive than Hispanics to one-year metformin use in HDL-C level changes, and that racial and ethnic identity is a factor to consider when interpreting the effects of metformin treatment on lipid profiles.


  • Cholesterol
  • Diabetes
  • HDL
  • Metformin


As a first-line drug for treating type 2 diabetes, metformin has been demonstrated to be effective in glycemic control [1], and is thus widely prescribed around the world. In the United States, metformin is the most commonly prescribed diabetes medication in 2010, with more than 48 million prescriptions being filled [2]. Metformin has been shown to reduce microvascular risk [1, 3-5], in addition to producing beneficial effects in other diseases involving insulin resistance, such as polycystic ovary syndrome [6] and non-alcoholic fatty liver disease [7].

Diabetes is commonly associated with abnormality in lipid profiles, characterized by increased triglycerides, reduced HDL-C, and postprandial lipemia, known as diabetic dyslipidemia [8-11]. Cardiovascular morbidity and mortality are higher in patients with type 2 diabetes than in the general population [8, 12, 13], partly due to accelerated development of atherosclerosis [14, 15]. In fact, the first cause of death in diabetic patients is heart disease or stroke. Indeed, diabetes treatment can reduce the chances of heart disease and improve cardiovascular outcome [16, 17]. Specifically, metformin treatments have been shown to be associated with improved lipid profiles, such as reduced triglycerides and increased HDL-C [18-25].

Because of the widespread use of metformin in the world and the high prevalence of diabetes among different racial and ethnic groups, it is important to examine the racial difference in response to metformin treatments. Indeed, it was recently shown that African Americans (AAs) have a better glycemic response to metformin compared to European Americans [26]. Nevertheless, no study has been performed to examine the differential response in HDL-C levels following metformin treatment by race/ethnicity. Here, based on the re-analysis of the data from the Diabetes Prevention Program (DPP) [27, 28], we compared the lipid profile changes after one-year treatment of metformin. We found that in the metformin group, but not in the placebo group, one-year metformin increased HDL-C levels in Whites and AAs, but not in Hispanics.

Materials and methods

The DPP data Archive version 2.1 was obtained from the National Institute of Diabetes and Digestive and Kidney (NIDKK) data repository. The DPP was a multi-center clinical trial examining effects of intensive lifestyle changes or metformin versus placebo on the rate of developing diabetes. Qualified subjects all had prediabetes, due to elevated fasting glucose, impaired glucose tolerance, and obesity. Informed consent was obtained from all subjects. The metformin group received 850 mg of metformin twice a day. Of note, the placebo groups also received information about diet and exercise but no intensive motivational counseling. Forty five percent of the participants were recruited from minority groups, such as African American, Alaska Native, American Indian, Asian American, and Hispanics, who have an increased risk of developing diabetes [29]. Lipid profile measurements and lipoprotein subclass particle concentration determination were performed as previously described [30].

Student t tests and ANOVA were performed to compare differences in lipid levels among Whites, AAs and Hispanics, and paired t tests were performed to compare differences in lipid levels between baseline and year-one values. A generalized estimating equation was implemented to examine the rate of change in HDL-C levels in response to metformin treatment, and it was adjusted for confounding factors including age, gender, body mass index, triglycerie, LDL-C, cholesterol and fasting glucose levels. Average mean change from baseline to year 1 among Whites, AAs, and Hispanic were computed using One-way ANOVA, and Dunnett method was performed for multiple comparison tests. The Software SAS 9.3 (SAS Institute, Cary, NC) was used to perform statistical tests, and P < 0.05 was considered significant. The study protocol was approved by the Institutional Review Boards of Wayne State University School of Medicine and of the Detroit Medical Center, and all studies were carried out in accordance with the approved guidelines.


HDL-C levels are increased in the metformin group, but not in the placebo group

The current study included 985 participants, made up of 650 females and 335 males. The distributions of age and BMI are listed in Table 1. All DPP participants were pre-diabetic. Consistently, at baseline, the fasting plasma glucose and insulin levels were 107.25 ± 7.84 (mg/dL) and 26.99 ± 14.80 (μIU/mL), respectively, and the HbA1C level was 5.91 ± 0.51 (%).
Table 1

Clinical characteristics of the DPP participants treated with metformin by racial/ethnic group



African Americans


















Age (years)


 < 40





 40 – 49





 50 – 59





 > = 60





BMI (kg/m2)


 < 30





 30 to < 36





 > = 36





Fasting plasma glucose (mg/dL)

107.05 ± 7.64

108.35 ± 8.00

106.49 ± 8.21

107.25 ± 7.84

Fasting plasma insulin (μIU/mL)

26.03 ± 14.92

28.93 ± 15.76

27.93 ± 12.62

26.99 ± 14.80

HbA1c (%)

5.80 ± 0.43

6.20 ± 0.58

5.89 ± 0.51

5.91 ± 0.51

Data for levels of plasma glucose, insulin and HbA1c are presented as means ± SD

BMI body mass index

In the metformin group, the baseline and year-one HDL-C levels (mg/dL) were 46.17 ± 11.58 and 46.88 ± 12.07, respectively. Compared to the baseline level, the year-one level was significantly increased, with the average increase being 0.67 ± 6.49 (paired t test, p = 0.002). In the placebo group, the HDL-C levels (mg/dL) at baseline and year one were: 44.79 ± 11.51 and 44.78 ± 11.41, respectively; and the average change (−0.09 ± 6.05) between the baseline and year one was not significant (p = 0.639) (Table 2). Therefore, HDL-C levels were increased in the metformin group, but not in the placebo group.
Table 2

Lipid profiles in DPP participants by treatment group at baseline and one-year follow-up


N (female)



Year 1


P valuea


985 (650)


157.02 ± 86.87

152.59 ± 90.99

−5.01 ± 67.09



202.96 ± 35.25

198.50 ± 34.88

−4.62 ± 25.18



46.17 ± 11.58

46.88 ± 12.07

0.67 ± 6.49



31.26 ± 16.93

30.40 ± 17.85

−0.98 ± 13.45



125.05 ± 32.06

120.79 ± 31.14

−4.27 ± 23.08



69.58 ± 17.67

67.97 ± 17.49

−1.59 ± 13.86



107.67 ± 27.08

103.92 ± 26.95

−3.65 ± 20.98



0.27 ± 0.03

0.27 ± 0.03

0.00 ± 0.02



973 (675)


167.96 ± 93.87

159.07 ± 95.36

−9.25 ± 73.84



203.62 ± 36.35

199.67 ± 35.07

−4.04 ± 26.64



44.79 ± 11.51

44.78 ± 11.41

−0.09 ± 6.05



33.31 ± 17.73

31.66 ± 18.47

−1.70 ± 13.97



125.04 ± 33.47

122.76 ± 31.21

−2.22 ± 24.67



69.56 ± 18.38

68.44 ± 17.36

−1.15 ± 13.51



106.48 ± 28.38

103.78 ± 27.04

−2.65 ± 21.51



0.26 ± 0.03

0.26 ± 0.03

0.00 ± 0.03


CHOL, cholesterol; HDL-C, high density lipoprotein cholesterol; LDL, low density lipoprotein cholesterol; LDLB, LDL-B sub-fraction; LDLC, LDL-C sub-fraction; LDLZ, LDL particle size; TRIG, triglycerides; VLDL, very low density lipoprotein cholesterol. Data are presented as mean ± SD

a Paired Student t test for difference between baseline and year-one values. The original abbreviations in the DPP dataset were adopted

We next examined other lipid parameters following metformin treatment (Table 2). In the metformin group, compared to the baseline values, levels of triglycerides, total cholesterol, VLDL and LDL-C were all significantly reduced at year one, with changes (mg/dL) being −5.01 ± 67.09 (p = 0.023), −4.62 ± 25.18 (p < 0.001), −0.98 ± 13.45 (p = 0.027) and −4.27 ± 23.08 (p < 0.001), respectively. Interestingly, at year one in the placebo group, the levels of triglycerides, total cholesterol, VLDL and LDL-C were significantly reduced as well, with changes being −9.25 ± 73.84 (p <0.001), −4.04 ± 26.64 (p < 0.001), −1.70 ± 13.97 (p < 0.001) and −2.22 ± 24.67 (p = 0.006), respectively (Table 2).

We also examined the LDL-subfraction changes in both metformin and placebo groups. Compared to the baseline values, in the metformin group, both LDL B subfraction (−1.59 ± 13.86, p < 0.001) and C subfraction (−3.65 ± 20.98, p < 0.001) were decreased at year 1. Likewise, in the placebo group, both LDL B and C subfractions were decreased as well, with changes being −1.15 ± 13.51 (p < 0.001) and −2.65 ± 21.51 (p < 0.001), respectively. In contrast, the LDL particle size was not significantly changed in both metformin and placebo groups. Therefore, among different parameters in the lipid profile, only changes in HDL-C levels were distinct between the metformin group and the placebo group, suggesting that one-year metformin treatment to be the factor that increased HDL cholesterol levels.

One-year metformin increases HDL cholesterol in Whites and African Americans, but not in Hispanics

We next examined the HDL-C levels following metformin treatment among different race/ethnicity. In the metformin group, there were 602 Whites, 221 AAs, and 162 Hispanics, among which 377, 163, and 110 were women, respectively (Table 1). Distribution of ages and BMIs are listed in Table 1 for different race/ethnicity.

The HDL-C levels in the placebo group at baseline and year one in Whites were (mg/dL, mean ± SEM) 44.8 ± 0.47 and 44.9 ± 0.47, respectively; in AAs were 45.9 ± 0.81 and 45.9 ± 0.87, respectively; in Hispanics were 43.2 ± 0.85 and 43.0 ± 0.84, respectively (Fig. 1). The HDL-C levels in the metformin group at baseline and year one in Whites were 45.3 ± 0.48 and 46.2 ± 0.51, respectively, in AAs were 48.5 ± 0.80 and 49.7 ± 0.87, respectively, and in Hispanics were 46.1 ± 0.80 and 45.5 ± 0.89, respectively (Fig. 1).
Fig. 1
Fig. 1

One-year metformin treatment increases HDL cholesterol in Whites and African Americans, but not in Hispanics. Levels of HDL-C at baseline and one-year checkup in a Whites, b African Americans and c Hispanics. Paired Student t tests were performed to compare HDL-C levels in the baseline and year-one checkup. HDL-C, high-density lipoprotein cholesterol; NS, non-significant. Data are represented as mean ± SEM

We performed paired Student t tests to compare HDL-C levels in the baseline and year-one checkup. In the metformin group, one-year metformin treatment resulted in significant increases in HDL-C levels in Whites (p = 0.002) and AAs (p = 0.016), but not in Hispanics (p = 0.329) (Fig. 1). In contrast, in the placebo group, there were no significant changes in levels of HDL-C for Whites (p = 0.564), AAs (p = 0.902), as well as for Hispanics (p = 0.845). These results suggest that one-year metformin treatment increased HDL-C levels in Whites, AAs, but not in Hispanics.

Differences in change of HDL-C levels among participants with different race/ethnicity

We next examined the changes in HDL-C levels before and after one-year metformin treatment in both placebo and metformin groups among race/ethnicity. The average changes between baseline and year one for Whites, AAs, and Hispanics were 0.82 ± 0.26, 1.16 ± 0.48, and −0.54 ± 0.55, respectively. In the placebo group, the average changes between baseline and year one for Whites, AAs, and Hispanics were 0.15 ± 0.26, 0.05 ± 0.44, and 0.09 ± 0.46, respectively. When comparing HDL-C level changes, in the metformin group, Whites had a more dramatic change in HDL-C levels than Hispanics (p = 0.018), but in the placebo group, there was no significant difference between Whites and Hispanics (p = 0.916) (Fig. 2). Likewise, in the metformin group, AAs had a more dramatic change in HDL-C levels than Hispanics (p = 0.020), but in the placebo group, there was no significant difference between Whites and Hispanics (p = 0.823) (Fig. 2). Therefore, both Whites and AAs had more dramatic HDL-C level changes than Hispanics by one-year metformin treatment, but in the placebo group, neither Whites nor AAs had more HDL-C level changes than Hispanics.
Fig. 2
Fig. 2

Changes in HDL-C in response to one-year metformin treatment among races. Changes = Valueone-year – valuebaseline. P values were obtained by performing Student t tests. HDL-C, high-density lipoprotein cholesterol. Data are represented as mean ± SEM

To confirm these results, we also performed One-way ANOVA to compare the changes in HDL-C in both metformin and placebo groups among race/ethnicity. For metformin treatment, the F value and the p value were 3.48 and 0.031, respectively. We also took Hispanics as reference and performed multiple comparison tests, the Dunnett method. The difference of change between Whites and Hispanics was 1.70 (95 % CI, 0.20–3.20, p < 0.05), and the difference of change between AAs and Hispanics was 1.36 (95 % CI, 0.08–2.64, p < 0.05). For the placebo group, the F value and the p value were 0.08 and 0.920, respectively, by performing One-way ANOVA. Therefore, both Whites and AAs had more dramatic HDL-C level changes than Hispanics by one-year metformin treatment, but in the placebo group, neither Whites nor AAs had more HDL-C level changes than Hispanics.


It was well established that HDL-C levels are associated with other metabolism parameters, such as triglyceride and LDL-C levels [31-34]. In addition, patients with type 2 diabetes are commonly associated with diabetic dyslipidemia, characterized by high levels of triglyceride and LDL-C, but low levels of HDL-C [10, 35-37]. It was found that in type 2 diabetes, HDL carries higher level of sphingosine-1-phosphate, which has the potential to contribute to protective effects on endothelial cells by inducing the expression of cyclooxygenase 2 [38]. Another potential mechanism is through vitamin B12 deficiency, which is common in type 2 diabetes, and is associated with lipid profiles [39]. The association between insulin sensitivity and lipid profiles is even present in heathy subjects. For instance, it was found that in healthy hyperalphalipoproteinemia subjects, several parameters that control the metabolism of plasma cholesterol and lipoproteins are related to a higher degree of insulin sensitivity [36].

Because of the association between HDL-C levels and other metabolic parameters, it is important to exclude the effects of potential confounding factors. In statistics, a generalized estimating equation (GEE) is used to estimate the parameters of a generalized linear model with a possible unknown correlation between outcomes for longitudinal data, and regression models are useful to adjust for confounders. That is, models with covariates can detect the effects of each covariate while the effects of other covariates being partialed out [40]. We therefore performed the GEE model to confirm whether the change rate of HDL-C level over time for Whites and AAs was greater than that of Hispanics in patients with metformin treatment. As listed in Table 3, based on the unadjusted model, the slopes (Year*Race) for Whites and AAs were 1.37 and 1.71, respectively. It means that the change rates of HDL-C from the baseline to year one were 1.37 mg/dL (p = 0.024) and 1.71 mg/dL (p = 0.019) greater than that of Hispanics. Consistently, after adjusting for covariates including age, gender, BMI, levels of triglyceride, cholesterol, LDL-C and fasting glucose, the rates in HDL-C changes for Whites (1.29, p = 0.022) and AAs (1.38, p = 0.039) were still significantly greater than that of Hispanics. Therefore, the observation that Whites and AAs were more sensitive towards metformin treatment in HDL-C levels than Hispanics is unlikely due to the potential confounding factors.
Table 3

Results of unadjusted and adjusted GEE modes for subjects with metformin treatment


Unadjusted model

Adjusted modela



Estimate (95 % CI)

P value

Estimate (95 % CI)

P value


1.37 (0.18–2.56)


1.29 (0.19–2.38)



1.71 (0.29–3.13)


1.38 (0.07–2.69)







CI, confidence interval; GEE, generalized estimating equation

a Adjusted for age, gender, body mass index, triglyceride, cholesterol, LDL-C and fasting glucose levels

One limitation of the current study is that the DPP was not designed to examine racial differences under interventions of metformin and life style change, and therefore it lacked the statistical power for such analysis. To obtain significant results, we thus pooled the data from both male and female participants, and therefore it is unknown whether the observed differences were gender specific. Another limitation is that the current study focuses on lipid profiles by one-year metformin treatment, but HDL-C differences among races in response to metformin appeared to diminish over time. Furthermore, all DPP participants were prediabetic, and therefore whether the observed racial differences can be applied to patients with type 2 diabetes or other metabolic syndrome is uncertain. In addition, the numbers of studied subjects with different races were not well balanced, i.e., there were 602 Whites, 221 AAs and 162 Hispanics. Although the number of 162 in Hispanics can be considered large enough to reach statistical significance in change of HDL-C levels, if any, it will be necessary to confirm the observation in future studies using cohorts composed of relatively large number of Hispanics. In addition, because of the limited number of Asians in the DPP, Asians were not included in the current analysis.

To the best of our knowledge, this is the first report on the differential response in lipid profile changes to metformin treatment by race/ethnicity. Therefore, future studies need to confirm the current observation based on independent cohorts. Specifically, it would be important for future studies to include more time points, different metformin doses, different races, and different disease conditions, such as type 2 diabetes and polycystic ovary syndrome. It would be also interesting to examine the race-ethnicity difference in response to other diabetic treatments, which may be associated with distinct lipid profile changes [41]. Another important direction is to identify the molecular mechanisms responsible for the racial difference in response to metformin, and the identification of these mechanisms has the potential for new development to increase the drug potency.


In conclusion, we found that in the prediabetic population, a one-year metformin treatment raised HDL-C in Whites and AAs, but not in Hispanics in the DPP. This result suggests differences of HDL-C levels in response to metformin by race/ethnicity, and that racial and ethnic identity is a factor to consider when interpreting the effects of metformin treatment.



African American




Diabetes Prevention Program


Generalized estimating equation


Low density lipoprotein cholesterol


High density lipoprotein cholesterol


LDL-B sub-fraction


LDL-C sub-fraction


LDL particle size




Very low density lipoprotein cholesterol



The work was supported in part by a fund from Wayne State University to RZ, NNSF of China (90408028) to C.T.Z. and (31171238) to F.G. and the China National 863 High-Tech Program (2015AA020101) to F.G.

Authors’ Affiliations

Division of Geriatric and Palliative Medicine, School of Medicine, University of Michigan, Ann Arbor, MI, USA
Department of Physics, Tianjin University, Tianjin, China
Center for Molecular Medicine and Genetics, School of Medicine, Wayne State University, Detroit, MI 48201, USA
Cardiovascular Research Institute, School of Medicine, Wayne State University, Detroit, MI, USA


  1. Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008;359(15):1577–89.PubMedView ArticleGoogle Scholar
  2. Informatics IIfH. The use of medicines in the United States: review of 2011. 2010. p. 1–46.Google Scholar
  3. Ratner R, Goldberg R, Haffner S, Marcovina S, Orchard T, Fowler S, et al. Impact of intensive lifestyle and metformin therapy on cardiovascular disease risk factors in the diabetes prevention program. Diabetes Care. 2005;28(4):888–94.PubMedView ArticleGoogle Scholar
  4. Roussel R, Travert F, Pasquet B, Wilson PW, Smith Jr SC, Goto S, et al. Metformin use and mortality among patients with diabetes and atherothrombosis. Arch Intern Med. 2010;170(21):1892–9.PubMedView ArticleGoogle Scholar
  5. UKPDS. Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34). UK Prospective Diabetes Study (UKPDS) Group. Lancet. 1998;352(9131):854–65.View ArticleGoogle Scholar
  6. Lord JM, Flight IH, Norman RJ. Metformin in polycystic ovary syndrome: systematic review and meta-analysis. BMJ. 2003;327(7421):951–3.PubMed CentralPubMedView ArticleGoogle Scholar
  7. Marchesini G, Brizi M, Bianchi G, Tomassetti S, Zoli M, Melchionda N. Metformin in non-alcoholic steatohepatitis. Lancet. 2001;358(9285):893–4.PubMedView ArticleGoogle Scholar
  8. Haffner SM. Management of dyslipidemia in adults with diabetes. Diabetes Care. 2003;26 Suppl 1:S83–6.PubMedGoogle Scholar
  9. Goldberg IJ. Clinical review 124: diabetic dyslipidemia: causes and consequences. J Clin Endocrinol Metab. 2001;86(3):965–71.PubMedView ArticleGoogle Scholar
  10. Mooradian AD. Dyslipidemia in type 2 diabetes mellitus. Nat Clin Pract Endocrinol Metab. 2009;5(3):150–9.PubMedView ArticleGoogle Scholar
  11. Ginsberg HN. REVIEW: efficacy and mechanisms of action of statins in the treatment of diabetic dyslipidemia. J Clin Endocrinol Metab. 2006;91(2):383–92.PubMedView ArticleGoogle Scholar
  12. Malmberg K, Yusuf S, Gerstein HC, Brown J, Zhao F, Hunt D, et al. Impact of diabetes on long-term prognosis in patients with unstable angina and non-Q-wave myocardial infarction: results of the OASIS (Organization to Assess Strategies for Ischemic Syndromes) Registry. Circulation. 2000;102(9):1014–9.PubMedView ArticleGoogle Scholar
  13. Norhammar A, Lindback J, Ryden L, Wallentin L, Stenestrand U. Improved but still high short- and long-term mortality rates after myocardial infarction in patients with diabetes mellitus: a time-trend report from the Swedish Register of Information and Knowledge about Swedish Heart Intensive Care Admission. Heart. 2007;93(12):1577–83.PubMed CentralPubMedView ArticleGoogle Scholar
  14. Miki T, Itoh T, Sunaga D, Miura T. Effects of diabetes on myocardial infarct size and cardioprotection by preconditioning and postconditioning. Cardiovasc Diabetol. 2012;11:67.PubMed CentralPubMedView ArticleGoogle Scholar
  15. Nicholls SJ, Tuzcu EM, Kalidindi S, Wolski K, Moon KW, Sipahi I, et al. Effect of diabetes on progression of coronary atherosclerosis and arterial remodeling: a pooled analysis of 5 intravascular ultrasound trials. J Am Coll Cardiol. 2008;52(4):255–62.PubMedView ArticleGoogle Scholar
  16. El Messaoudi S, Rongen GA, Riksen NP. Metformin therapy in diabetes: the role of cardioprotection. Curr Atheroscler Rep. 2013;15(4):314.PubMedView ArticleGoogle Scholar
  17. Dai X, Wang H, Jing Z, Fu P. The effect of a dual combination of noninsulin antidiabetic drugs on lipids: a systematic review and network meta-analysis. Curr Med Res Opin. 2014;30(9):1777–86.PubMedView ArticleGoogle Scholar
  18. Giugliano D, De Rosa N, Di Maro G, Marfella R, Acampora R, Buoninconti R, et al. Metformin improves glucose, lipid metabolism, and reduces blood pressure in hypertensive, obese women. Diabetes Care. 1993;16(10):1387–90.PubMedView ArticleGoogle Scholar
  19. Wu MS, Johnston P, Sheu WH, Hollenbeck CB, Jeng CY, Goldfine ID, et al. Effect of metformin on carbohydrate and lipoprotein metabolism in NIDDM patients. Diabetes Care. 1990;13(1):1–8.PubMedView ArticleGoogle Scholar
  20. Hollenbeck CB, Johnston P, Varasteh BB, Chen YD, Reaven GM. Effects of metformin on glucose, insulin and lipid metabolism in patients with mild hypertriglyceridaemia and non-insulin dependent diabetes by glucose tolerance test criteria. Diabete Metab. 1991;17(5):483–9.PubMedGoogle Scholar
  21. Jeppesen J, Zhou MY, Chen YD, Reaven GM. Effect of metformin on postprandial lipemia in patients with fairly to poorly controlled NIDDM. Diabetes Care. 1994;17(10):1093–9.PubMedView ArticleGoogle Scholar
  22. Reaven GM, Johnston P, Hollenbeck CB, Skowronski R, Zhang JC, Goldfine ID, et al. Combined metformin-sulfonylurea treatment of patients with noninsulin-dependent diabetes in fair to poor glycemic control. J Clin Endocrinol Metab. 1992;74(5):1020–6.PubMedGoogle Scholar
  23. Robinson AC, Burke J, Robinson S, Johnston DG, Elkeles RS. The effects of metformin on glycemic control and serum lipids in insulin-treated NIDDM patients with suboptimal metabolic control. Diabetes Care. 1998;21(5):701–5.PubMedView ArticleGoogle Scholar
  24. Tessier D, Maheux P, Khalil A, Fulop T. Effects of gliclazide versus metformin on the clinical profile and lipid peroxidation markers in type 2 diabetes. Metabolism. 1999;48(7):897–903.PubMedView ArticleGoogle Scholar
  25. Ghatak SB, Dhamecha PS, Bhadada SV, Panchal SJ. Investigation of the potential effects of metformin on atherothrombotic risk factors in hyperlipidemic rats. Eur J Pharmacol. 2011;659(2-3):213–23.PubMedView ArticleGoogle Scholar
  26. Williams LK, Padhukasahasram B, Ahmedani BK, Peterson EL, Wells KE, Gonzalez Burchard E, et al. Differing effects of metformin on glycemic control by race-ethnicity. J Clin Endocrinol Metab. 2014;99(9):3160–8.PubMedView ArticleGoogle Scholar
  27. The Diabetes Prevention Program. Design and methods for a clinical trial in the prevention of type 2 diabetes. Diabetes Care. 1999;22(4):623–34.View ArticleGoogle Scholar
  28. Knowler WC, Fowler SE, Hamman RF, Christophi CA, Hoffman HJ, Brenneman AT, et al. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet. 2009;374(9702):1677–86.PubMedView ArticleGoogle Scholar
  29. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393–403.PubMedView ArticleGoogle Scholar
  30. Goldberg R, Temprosa M, Otvos J, Brunzell J, Marcovina S, Mather K, et al. Lifestyle and metformin treatment favorably influence lipoprotein subfraction distribution in the Diabetes Prevention Program. J Clin Endocrinol Metab. 2013;98(10):3989–98.PubMed CentralPubMedView ArticleGoogle Scholar
  31. Manninen V, Tenkanen L, Koskinen P, Huttunen JK, Manttari M, Heinonen OP, et al. Joint effects of serum triglyceride and LDL cholesterol and HDL cholesterol concentrations on coronary heart disease risk in the Helsinki Heart Study: implications for treatment. Circulation. 1992;85(1):37–45.PubMedView ArticleGoogle Scholar
  32. Sharrett AR, Ballantyne CM, Coady SA, Heiss G, Sorlie PD, Catellier D, et al. Coronary heart disease prediction from lipoprotein cholesterol levels, triglycerides, lipoprotein(a), apolipoproteins A-I and B, and HDL density subfractions: the Atherosclerosis Risk in Communities (ARIC) Study. Circulation. 2001;104(10):1108–13.PubMedView ArticleGoogle Scholar
  33. Li C, Ford ES, Meng YX, Mokdad AH, Reaven GM. Does the association of the triglyceride to high-density lipoprotein cholesterol ratio with fasting serum insulin differ by race/ethnicity? Cardiovasc Diabetol. 2008;7:4.PubMed CentralPubMedView ArticleGoogle Scholar
  34. Escobedo J, Schargrodsky H, Champagne B, Silva H, Boissonnet CP, Vinueza R, et al. Prevalence of the metabolic syndrome in Latin America and its association with sub-clinical carotid atherosclerosis: the CARMELA cross sectional study. Cardiovasc Diabetol. 2009;8:52.PubMed CentralPubMedView ArticleGoogle Scholar
  35. Kreisberg RA. Diabetic dyslipidemia. Am J Cardiol. 1998;82(12A):67U–73U. discussion 85U-86U.PubMedView ArticleGoogle Scholar
  36. Leanca CC, Nunes VS, Panzoldo NB, Zago VS, Parra ES, Cazita PM, et al. Metabolism of plasma cholesterol and lipoprotein parameters are related to a higher degree of insulin sensitivity in high HDL-C healthy normal weight subjects. Cardiovasc Diabetol. 2013;12:173.PubMed CentralPubMedView ArticleGoogle Scholar
  37. Adiels M, Olofsson SO, Taskinen MR, Boren J. Overproduction of very low-density lipoproteins is the hallmark of the dyslipidemia in the metabolic syndrome. Arterioscler Thromb Vasc Biol. 2008;28(7):1225–36.PubMedView ArticleGoogle Scholar
  38. Tong X, Peng H, Liu D, Ji L, Niu C, Ren J, et al. High-density lipoprotein of patients with type 2 diabetes mellitus upregulates cyclooxgenase-2 expression and prostacyclin I-2 release in endothelial cells: relationship with HDL-associated sphingosine-1-phosphate. Cardiovasc Diabetol. 2013;12:27.PubMed CentralPubMedView ArticleGoogle Scholar
  39. Adaikalakoteswari A, Jayashri R, Sukumar N, Venkataraman H, Pradeepa R, Gokulakrishnan K, et al. Vitamin B12 deficiency is associated with adverse lipid profile in Europeans and Indians with type 2 diabetes. Cardiovasc Diabetol. 2014;13:129.PubMed CentralPubMedView ArticleGoogle Scholar
  40. Zeger SL, Liang KY. An overview of methods for the analysis of longitudinal data. Stat Med. 1992;11(14-15):1825–39.PubMedView ArticleGoogle Scholar
  41. Khan RA, Baig SG, Siddiq A. Comparative effects of metformin and pioglitazone on lipid profile of rabbits. Pak J Pharm Sci. 2015;28(2):553–5.PubMedGoogle Scholar


© Zhang et al. 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.