Search tips
Search criteria 


Logo of diacareAmerican Diabetes AssociationSubscribeSearchDiabetes Care Journal
Diabetes Care. 2009 October; 32(10): 1921–1923.
Published online 2009 July 10. doi:  10.2337/dc09-0476
PMCID: PMC2752926

Transforming Growth Factor-β1 and Incident Type 2 Diabetes

Results from the MONICA/KORA case-cohort study, 1984–2002
Christian Herder, PHD, MSC,1 Astrid Zierer, PHD,2 Wolfgang Koenig, MD,3 Michael Roden, MD,1,4 Christa Meisinger, MD, MPH,2 and Barbara Thorand, PHD, MPH2



Subclinical inflammation leads to insulin resistance and β-cell dysfunction. This study aimed to assess whether levels of circulating transforming growth factor-β1 (TGF-β1)—a central, mainly immunosuppressive, and anti-inflammatory cytokine—were associated with incident type 2 diabetes.


We measured serum levels of TGF-β1 from 460 individuals with and 1,474 individuals without incident type 2 diabetes in a prospective case-cohort study within the population-based MONICA (MONItoring of Trends and Determinants in CArdiovascular Disease)/KORA (Cooperative Health Research in the Region of Augsburg) cohort.


Elevated TGF-β1 concentrations were associated with higher, not lower, risk for type 2 diabetes (age-, sex-, and survey-adjusted hazard ratios [95% CI] for increasing TGF-β1 tertiles: 1.0, 1.08 [0.83–1.42], and 1.41 [1.08–1.83]; Pfor trend = 0.012). Adjustment for BMI and metabolic and lifestyle factors had virtually no impact on the effect size.


Elevated serum concentrations of the cytokine TGF-β1 indicate an increased risk for type 2 diabetes. TGF-β1 may be upregulated to counterbalance metabolic and immunological disturbances preceding type 2 diabetes.

Subclinical inflammation represents one important mechanism in the development of insulin resistance and β-cell dysfunction, and a systemic proinflammatory state is associated with increased risk for type 2 diabetes (1). However, data on anti-inflammatory immune mediators are scarce. So far, adiponectin remains the only immune mediator for which increased circulating levels indicate a reduced risk for type 2 diabetes and for which a protective effect is biologically plausible (24). Transforming growth factor-β1 (TGF-β1) is an interesting candidate in this context because it is a critical regulator of the immune system with mainly immunosuppressive effects (5). In addition to effects on T-cells, TGF-β1 inhibits or reverses the activation of macrophages by interfering with signaling via toll-like receptor–dependent pathways and downregulating central effector mechanisms of the innate immunity such as lipopolysaccharide-induced production of proinflammatory cytokines, reactive oxygen species, and reactive nitrogen species (6,7).

Recent data on interleukin (IL)-1 receptor antagonist (IL-1Ra) from the Whitehall II study led to the hypothesis that the immunological changes before type 2 diabetes do not only include upregulation of proinflammatory mediators but also of anti-inflammatory cytokines—presumably an attempt to counterbalance subclinical inflammation (8). We tested this hypothesis in the large, population-based MONICA (MONItoring of Trends and Determinants in CArdiovascular Disease)/KORA (Cooperative Health Research in the Region of Augsburg) case-cohort study by investigating the association between TGF-β1 serum levels and incident type 2 diabetes.


Data are based on a prospective case-cohort study within the population-based MONICA/KORA cohort (911). This study comprises 1,934 participants (255 men/205 women with and 724 men/750 women without incident type 2 diabetes), aged 35–74 years, from a source population of 7,936 study participants (supplementary Fig. A1, available in the online appendix at Mean ± SD follow-up time was 10.9 ± 4.7 years.

The incidence of type 2 diabetes between participants' study start dates and 31 December 2002 was assessed using a questionnaire sent to all participants of the three baseline surveys (S1: 1984–1985, S2: 1989–1990, and S3: 1994–1995) in 1997–1998 and 2002–2003. Furthermore, all S1 participants were invited to a follow-up examination in 1987–1988. Only subjects for whom the treating physician clearly reported a diagnosis of type 2 diabetes or for whom a diagnosis of type 2 diabetes was mentioned in the medical records or who were taking antidiabetes medication were classified as case subjects.

Further information on study design; collection of demographic, anthropometric, clinical, metabolic, immunological, and lifestyle variables; and the statistical analysis is given in the online appendix.


Baseline characteristics of the study participants have been described for almost identical samples (911). Data for the present sample are given in supplementary Table A1. Serum concentrations of TGF-β1 (weighted mean ± SE) were 35.8 ± 0.4 ng/ml in case subjects and 35.2 ± 0.2 ng/ml in noncase subjects (P = 0.16). Given that there was no evidence for interaction between TGF-β1 and sex in the association with type 2 diabetes (P = 0.94 in the age-, sex-, and survey-adjusted model), men and women were analyzed together.

Case subjects were older than noncase subjects, and TGF-β1 levels were negatively correlated with age (supplementary Table A2). Adjustment for age only resulted in hazard ratios (HRs) (95% CI) for increasing TGF-β1 tertiles of 1.0, 1.08 (0.82–1.40), and 1.33 (1.03–1.73) (Pfor trend = 0.024). This association was slightly stronger when we also adjusted for sex and survey (model 1, Table 1) and remained almost unchanged when we additionally adjusted for BMI and lifestyle factors (smoking status, alcohol consumption, and physical activity) in model 2 and for systolic blood pressure, total-to-HDL cholesterol ratio, and parental history of diabetes in model 3. Model 4 also adjusted for all immune mediators for which there was some evidence or trend of correlation with TGF-β1 (P ≤ 0.1; i.e., C-reactive protein, macrophage migration inhibitory factor [MIF], IL-8, soluble E-selectin, and RANTES [regulated upon activation, normal T-cell expressed and secreted]; supplementary Table A3). Although the association was no longer statistically significant, this adjustment left the effect size almost unaltered.

Table 1
HRs and 95% CIs for the risk of developing type 2 diabetes according to baseline levels of TGF-β1


This study found that elevated serum concentrations of TGF-β1 are associated with incident type 2 diabetes. The associations remained stable in multivariate analyses taking into account demographic, anthropometric, metabolic, and lifestyle factors. Our data substantiate and extend our recent report on IL-1Ra and incident type 2 diabetes in the Whitehall II study (8). Although IL-1Ra is an anti-inflammatory cytokine that improves metabolic control in patients with type 2 diabetes (12), we found that elevated, not decreased, levels of IL-1Ra preceded the development of type 2 diabetes (8). This new finding underlines that the immune activation during the development of type 2 diabetes is complex and includes both pro- and anti-inflammatory mediators. One explanation could be that elevated concentrations of TGF-β1 and IL-1Ra represent a counterregulation of the proinflammatory state that increases the risk for type 2 diabetes.

As an alternative explanation, TGF-β1 could also play a proinflammatory role in the development of type 2 diabetes. The action of TGF-β1 depends on the microenvironment (different leukocyte subsets and cytokines), and TGF-β1 can also positively regulate immune responses (13). In the presence of IL-6, TGF-β1 supports the differentiation of T-helper 17 (Th17) cells that are activated in many proinflammatory conditions. Interestingly, IL-6 levels were also increased before the onset of type 2 diabetes in our study (14). Activated Th17 cells release proinflammatory cytokines such as IL-17 that has been reported to stimulate nitric oxide–mediated β-cell toxicity in a mouse model (15).

The large sample size, the population-based study design, and the long follow-up period are strengths of our study. Regarding the limitations, we measured total TGF-β1 after acidification of sera and release of latent TGF-β1 instead of biologically active TGF-β1. However, active TGF-β1 has a half-life of 2 min so that its quantification was not feasible.

In conclusion, elevated serum concentrations of the mainly immunosuppressive cytokine TGF-β1 precede the manifestation of type 2 diabetes. Further studies are needed to elucidate whether upregulation of TGF-β1 represents an attempt of a protective response against as yet unrecognized metabolic and immunological disturbances during the development of type 2 diabetes or whether elevated TGF-β1 levels in the circulation may directly contribute to mechanisms that favor insulin resistance, β-cell dysfunction, and type 2 diabetes.

Supplementary Material

Online-Only Appendix:


This study was supported by research grants from the German Research Foundation (TH-784/2-1 and TH-784/2-2) and by additional funds provided by the German Diabetes Center (Düsseldorf, Germany); the Federal Ministry of Health (Berlin, Germany); the Ministry of Innovation, Science, Research and Technology of the state North Rhine-Westphalia (Düsseldorf, Germany); and the Helmholtz Zentrum München, German Research Center for Environmental Health (Neuherberg, Germany) (formerly GSF National Research Center for Environment and Health). The MONICA/KORA Augsburg cohort study was financed by the Helmholtz Zentrum München and supported by grants from the Federal Ministry of Education and Research (Berlin, Germany).

No potential conflicts of interest relevant to this article were reported.

Parts of this study will be presented in abstract form at the 45th annual meeting of the European Association for the Study of Diabetes, Vienna, Austria, 29 September–2 October 2009.

We thank all members of the Institute of Epidemiology at the Helmholtz Zentrum München and the field staff in Augsburg who were involved in the planning and conduct of the MONICA/KORA Augsburg studies. Furthermore, we thank Ulrike Poschen (German Diabetes Center) for excellent technical assistance and Lloyd Chambless (School of Public Health, The University of North Carolina at Chapel Hill) for statistical assistance with the analysis of the case-cohort dataset. Finally, we express our appreciation to all study participants.


The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.


1. Kolb H, Mandrup-Poulsen T.: An immune origin of type 2 diabetes? Diabetologia 2005;48:1038–1050 [PubMed]
2. Lindsay RS, Funahashi T, Hanson RL, Matsuzawa Y, Tanaka S, Tataranni PA, Knowler WC, Krakoff J.: Adiponectin and development of type 2 diabetes in the Pima Indian population. Lancet 2002;360:57–58 [PubMed]
3. Ouchi N, Kihara S, Arita Y, Okamoto Y, Maeda K, Kuriyama H, Hotta K, Nishida M, Takahashi M, Muraguchi M, Ohmoto Y, Nakamura T, Yamashita S, Funahashi T, Matsuzawa Y.: Adiponectin, an adipocyte-derived plasma protein, inhibits endothelial NF-kappaB signaling through a cAMP-dependent pathway. Circulation 2000;102:1296–1301 [PubMed]
4. Yamauchi T, Kamon J, Minokoshi Y, Ito Y, Waki H, Uchida S, Yamashita S, Noda M, Kita S, Ueko K, Eto K, Akanuma Y, Froguel P, Foufelle F, Ferre P, Carling D, Kimura S, Nagai R, Kahn BB, Kadowaki T.: Adiponectin stimulates glucose utilization and fatty-acid oxidation by activating AMP-activated kinase. Nat Med 2002;8:1288–1295 [PubMed]
5. Li MO, Wan YY, Sanjabi S, Robertson AKL, Flavell RA.: Transforming growth factor-β regulation of immune respsonses. Annu Rev Immunol 2006;24:99–146 [PubMed]
6. Tsunawaki S, Sporn M, Ding A, Nathan C.: Deactivation of macrophages by transforming growth factor-beta. Nature 1988;334:260–262 [PubMed]
7. Naiki Y, Michelsen KS, Zhang W, Chen S, Doherty TM, Arditi M.: Transforming growth factor-β differentially inhibits MyD88-dependent, but not TRAM- and TRIF-dependent, lipopolysaccharide-induced TLR4 signaling. J Biol Chem 2005;280:5491–5495 [PubMed]
8. Herder C, Brunner EJ, Rathmann W, Strassburger K, Tabák AG, Schloot NC, Witte DR.: Elevated levels of the anti-inflammatory interleukin-1 receptor antagonist precede the onset of type 2 diabetes: the Whitehall II Study. Diabetes Care 2009;32:421–423 [PMC free article] [PubMed]
9. Thorand B, Kolb H, Baumert J, Koenig W, Chambless L, Meisinger C, Illig T, Martin S, Herder C.: Elevated levels of interleukin-18 predict the development of type 2 diabetes: results from the MONICA/KORA Augsburg Study, 1984–2002. Diabetes 2005;54:2932–2938 [PubMed]
10. Herder C, Baumert J, Thorand B, Koenig W, de Jager W, Meisinger C, Illig T, Martin S, Kolb H.: Chemokines as risk factors for type 2 diabetes: results from the MONICA/KORA Augsburg study, 1984–2002. Diabetologia 2006;49: 921–929 [PubMed]
11. Herder C, Klopp N, Baumert J, Müller M, Khuseyinova N, Meisinger C, Martin S, Illig T, Koenig W, Thorand B.: Effect of macrophage migration inhibitory factor (MIF) gene variants and MIF serum concentrations on the risk of type 2 diabetes: results from the MONICA/KORA Augsburg Case-Cohort Study, 1984–2002. Diabetologia 2008;51:276–284 [PubMed]
12. Larsen CM, Faulenbach M, Vaag A, Vølund A, Ehses JA, Seifert B, Mandrup-Poulsen T, Donath MY.: Interleukin- 1-receptor antagonist in type 2 diabetes mellitus. N Engl J Med 2007;356:1517–1526 [PubMed]
13. Wan YY, Flavell RA.: ‘Yin-Yang’ functions of transforming growth factor-beta and T regulatory cells in immune regulation. Immunol Rev 2007;220:199–213 [PMC free article] [PubMed]
14. Thorand B, Baumert J, Kolb H, Meisinger C, Chambless L, Koenig W, Herder C.: Sex differences in the prediction of type 2 diabetes by inflammatory markers: results from the MONICA/KORA Augsburg case-cohort study, 1984–2002. Diabetes Care 2007;30:854–860 [PubMed]
15. Miljkovic D, Cvetkovic I, Momcilovic M, Maksimovic-Ivanic D, Stosic-Grujicic S, Trajkovic V.: Interleukin-17 stimulates inducible nitric oxide synthase-dependent toxicity in mouse beta cells. Cell Mol Life Sci 2005;62:2658–2668 [PubMed]

Articles from Diabetes Care are provided here courtesy of American Diabetes Association