OBJECTIVE—To establish whether single nucleotide polymorphisms (Asp299Gly and Thr399Ile) of the toll-like receptor 4 have an association with late diabetic complications.

RESEARCH DESIGN AND METHODS—The study was conducted in 246 type 1 and 530 type 2 diabetic patients. The alleles of both polymorphisms were detected using PCR and subsequent cleavage by NcoI and HinfI restriction endonucleases.

RESULTS—No difference was found between type 1 and type 2 diabetic patients in the prevalence of alleles of the Asp299Gly and Thr399Ile polymorphisms. In most cases, the alleles Gly299 and Ile399 occurred in a co-segregatory manner. The prevalence of the Gly299/Ile399 haplotype was 10.6 and 12.1% in type 1 and type 2 diabetic patients, respectively (P = 0.63). No association with diabetic nephropathy or diabetic neuropathy was found in type 1 diabetic patients. In type 2 diabetic patients, however, heterozygote carriers of the Asp299Gly and Thr399Ile genotypes had a significantly reduced prevalence of diabetic neuropathy (odds ratio 0.35 [95% CI 0.19–0.61]; P = 0.0002); no association with diabetic nephropathy was found.

CONCLUSIONS—Our data indicate that Asp299Gly and Thr399Ile genotypes of the TLR4 gene are associated with reduced prevalence of diabetic neuropathy in type 2, but not in type 1, diabetes. Thus different mechanisms may be involved in the pathophysiology of diabetic neuropathy in type 1 and type 2 diabetes.

Recently, our understanding of type 2 diabetes has changed considerably. Levels of C-reactive proteins have been shown to predict the occurrence of type 2 diabetes. Studies in animal models as well as humans have suggested that type 2 diabetes might be associated with changes in the innate immune response (15). Furthermore, experiments in which the mitogen-activated protein kinase or inhibitor κB-kinase pathways are genetically controlled have shown that activator protein-1 and nuclear factor (NF)-κB are central regulators not only of inflammatory reactions (6), but also of the insulin response and glucose metabolism (7,8). In addition, one of the receptors important for developing late diabetic complications, the receptor for advanced glycation end products (RAGE), has been shown to participate in the innate immune response and behave as a pattern recognition receptor (9,10). This implies that factors regulating the innate immune response might be also involved in late diabetic complications. One of the central regulators of the innate immune response is the toll-like receptor (TLR)-4 (11). The recognition of microbial components by mammalian TLRs plays an important role in activation of the innate immune response and subsequent proinflammatory reactions. In addition to binding lipopolysaccharide (LPS), TLR-4 also interacts with endogenous ligands such as oxLDL, heat shock proteins 60 and 70, fibrinogen, and fibronectin (11,12), which are also elevated in diabetes (1317).

Two common single nucleotide polymorphisms have been found in the coding region of the human TLR4 gene at exon 3 that are in a tight linkage disequilibrium (18). They lead to amino acid exchanges in positions 299 (Asp299Gly) and 399 (Thr399Ile). It has been shown that the presence of Gly299 and Ile399 alters the structure of the extracellular domain of TLR-4 (19), which might influence the ligand binding. The functional significance of these polymorphisms has recently been demonstrated in experiments showing an association of hyporesponsiveness to inhaled LPS (19). The carriers of the Asp299Gly genotype have reduced levels of proinflammatory cytokines, acute phase reactions, soluble adhesion molecules, and an increased risk of severe infections but at the same time have a lower risk of carotid atherosclerosis (12).

These data suggest that the Asp299Gly polymorphism of TLR4 might also be of importance in noninfectious diseases associated with inflammatory reactions. Because the accumulated evidence suggests that acquired immunity and inflammation as well as oxidative stress and apoptosis may play a crucial role in the pathogenesis of late diabetic neuropathy (2024), we studied whether the modulated innate immune response caused by these polymorphisms of TLR4 has any association with neuropathy and nephropathy in type 1 and type 2 diabetes.

The study groups consisted of 776 Caucasian subjects, 246 with type 1 diabetes and 530 with type 2 diabetes. Patients were consecutively enrolled between January 1998 and October 2002. The patients were recruited from the outpatient clinic of the Department of Endocrinology (University of Heidelberg, Germany). Because the study was performed as a monocentric study, care was taken to avoid that any carriers of the polymorphisms studied were related to each other. To make that determination, the study subjects were questioned about whether they had diabetic family members being treated in the recruiting center; those who answered affirmatively were excluded from the study.

Diagnostic criteria

Diabetes was diagnosed according to American Diabetes Association criteria. Mean duration of diabetes was 11.5 ± 0.8 years. Diabetic nephropathy was defined as microalbuminuria >20 mg/l in two or three samples of morning urine obtained within 12 months. Patients with urinary infections were excluded. The absence or presence of neuropathy was defined according to Diabetes Control and Complications Trial criteria (25). It was diagnosed by decreased or missing ankle reflex and symptoms, reduced vibration perception with symptoms, or neuropathic foot ulcer. Symptoms were defined as numbness, dysesthesias or paresthesias, hypersensitivity to touch, burning pain, aching, or stabbing pain in hands and/or feet. Patients with ischemic-related diabetic foot disease were excluded. Patients were not stratified according to the severity of diabetic complications.

Genotyping

Genomic DNA was prepared from peripheral blood using the QIAmp Blood Kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions. The alleles of TLR4, the Asp299Gly and Thr399Ile polymorphisms, were detected using PCR and subsequent cleavage by NcoI and HinfI restriction endonucleases (26) (Fig. 1). The TLR4 alleles were confirmed by sequencing, as previously described (26).

Statistical analysis

Group characteristics were presented by type of diabetes, expressed as mean values and asymptotic 95% CI for continuous data. For binary data, the rate and asymptotic 95% CIs were given. This description was for the investigation of homogeneity of groups. All P values given in Table 1 were for exploratory use only. The two primary outcomes (neuropathy and nephropathy) were analyzed with a multivariable logistic regression model. Covariates were included for adjustment of potential confounding factors (age [years], sex, diabetes duration [years], hypertension status, HbA1c [percent]). Sensitivity analysis was used to categorize the three continuous covariates using the quartiles. Because of the two primary outcomes, an α level of 2.5% was used to guarantee a global error rate of 5%. This analysis was done separately because of the different pathogenetic backgrounds of type 1 and type 2 diabetes. For justification, a model with the interaction terms diabetes type and TLR4 was calculated. Because of the low power of this statistical method, P < 0.20 was considered to indicate an interaction between diabetes type and TLR4 polymorphisms. The statistical packages SPSS (release 11.0) and SAS (release 8.1) were used.

The study was performed as a monocentric cross-sectional pilot study, in which 776 Caucasian patients with type 1 (n = 246) or type 2 diabetes (n = 530) were analyzed.

In the type 1 diabetic group, 27 of the 246 patients were heterozygous for the Asp299Gly polymorphism (carrier rate [CR] 11.0%, allelic frequency [AF] 5.5%), 27 patients were heterozygous for the Thr399Ile polymorphism of TLR4 (CR 11.0%, AF 5.5%), and 26 patients carried both heterozygous genotypes (CR 10.6%). In the type 2 diabetic group, 68 of the 530 patients were heterozygous for the Asp299Gly polymorphism (CR 12.8%, AF 6.4%), 67 patients were heterozygous for the Thr399Ile polymorphism of TLR4 (CR 12.6%, AF 6.3%), and 65 patients carried both heterozygous genotypes (CR 12.3%). Only 1 patient with type 2 diabetes was homozygous as a carrier for both genotypes (Gly299Gly and Ile399Ile).

The prevalence of the Gly299 allele (without the Ile399 allele) was very low (0.5%), and the prevalence of the Ile399 allele (without the Gly299 allele) was similarly low (0.4%) in the tested groups. There was no difference in the co-segregation prevalence in type 1 versus type 2 diabetes (P = 0.63).

The frequencies of the genotypes were not significantly different between the type 1 and type 2 diabetic patients (Table 1). Furthermore, the prevalence of different genotypes in groups with and without nephropathy (P = 0.81) and neuropathy (P = 1.00) showed no significant difference in patients with type 1 diabetes (Table 2). In type 2 diabetic patients, the prevalence of different genotypes in groups with and without nephropathy was also not significantly different (P = 0.59). In contrast to type 1 diabetic patients, however, type 2 diabetic patients demonstrated a strong association of the Asp299Gly/Thr399Ile polymorphisms with diabetic neuropathy. Although 50.9% of the carriers of the Asp299Asp/Thr399Thr genotypes had diabetic neuropathy, only 26.2% of the carriers of the Asp299Gly/Thr399Ile genotypes were affected (P = 0.0002, OR 0.35 [CI 0.19−0.61]) (Table 2).

Interaction terms were modeled to elucidate whether the effect of the TLR4 polymorphisms on nephropathy or neuropathy was dependent on diabetes type. These showed no statistical interaction of the Asp299Gly/Thr399Ile genotype with diabetic nephropathy (P = 0.42), but did indicate an interaction with diabetic neuropathy (P = 0.19).

The sensitivity analysis using age, HbA1c, and diabetes duration categorized in quartiles gave the same result for the association of neuropathy and Asp299Gly/Thr399Ile genotype in type 2 diabetic patients (P = 0.0007) (data not shown).

Age- and diabetes duration−adjusted analysis with a multiple logistic regression model showed an independent association of the presence of the cosegregation alleles with diabetic neuropathy in type 2 diabetes (P = 0.0005) (Table 3). However, there was no association of neuropathy with type 1 diabetes or any association of nephropathy with either diabetes types (data not shown).

Our results showed a strong association of the Asp299Gly/Thr399Ile genotypes of TLR4 with reduced prevalence of peripheral neuropathy in type 2 diabetic patients (but not in type 1 diabetic patients). These data suggest that the pathogenesis of diabetic neuropathy may partly differ between type 1 and type 2 diabetes, as previously discussed (27). A type-related effect between TLR4 and type 2 diabetes (but not type 1) was indicated by using an interaction term model. Thus these results raise the question of whether the innate immune response may be involved in the pathogenesis of neuropathy in type 2 diabetes (13).

The amino acid polymorphisms in positions 299 and 399 determine the differences in the structure of the extracellular domain and thus the pattern recognition of the TLR-4 receptor isoforms (19,28). However, little is known about the influence of these polymorphisms on the ligand binding to the receptor (12,19,26,28). One might suggest that an abnormality in the TLR regulation might increase the susceptibility for diseases because of a reduced defense against invading neurotrophic bacteria (28). However, this condition would not play a role in diabetic neuropathy, which is caused by a metabolic disorder. Therefore, it is more likely that in diabetic neuropathy a mutation in the ligand binding region might protect against binding of endogenous ligands such as oxLDL (11,12). These ligands are known to induce oxidative stress (29), which might contribute to late diabetic complications. A reduced receptor-ligand interaction with endogenous ligands might therefore result in decreased susceptibility for diabetic neuropathy.

To date, no data are available concerning the function and expression of TLR4 in diabetic complications and it is not known whether TLR-4 expression is influenced by hyperglycemia. Therefore, we cannot determine whether the differences observed in this study were caused by a protective effect of the Asp299Gly/Thr399Ile TLR4 alleles or an increased susceptibility of the predominant Asp299Asp/Thr399Ile TLR4 alleles. Ligation to the pattern recognition receptor TLR-4 is known to activate the proinflammatory transcription factor NF-κB and subsequent gene expression of NF-κB−regulated genes such as cytokines and leukocyte adhesion molecules. Another pattern recognition receptor, RAGE, has also been demonstrated to induce NF-κB activation and NF-κB−dependent gene expression. Moreover, recent studies have shown for the first time that RAGE-dependent NF-κB activation is involved not only in the pathogenesis of diabetic neuropathy, but also in the direct molecular link of pain perception (30). Furthermore, a combined treatment with two NF-κB−specific inhibitors, pDTC (pyrrolidine dithiocarbamate) and TLCK (N-α-tosyl-l-lysine chloromethyl ketone), not only reduced NF-κB activation in sciatic nerves of diabetic rats, but also improved nerve conduction velocities in these animals (31). Consistent with the observations in experimental diabetic neuropathy, the expression of activated NF-κB has been demonstrated in epineural and endoneural vessels and the perineurium of patients with long-standing diabetes, further implying that NF-κB activation might contribute to neuronal dysfunction in diabetic neuropathy. This indicates that a TLR-4 polymorphism that prevents ligand binding and subsequent cellular signaling resulting in NF-κB activation might lower NF-κB activation and subsequent NF-κB−dependent proinflammatory gene expression and thus reduce the burden of the peripheral nerve. Hence, further studies are required to show whether the polymorphisms are associated with a reduced activation of NF-κB, cytokine expression, and expression of leukocyte adhesion molecules in nerves of type 2 diabetic patients.

Furthermore, diabetic neuropathy is influenced by risk factors such as hypertension, body weight, microalbuminuria, hyperglycemia, and nicotine use in type 2 diabetes (29, 3137). Because these risk factors were not distributed differently in the groups in this study, it seems unlikely that the effect of the Asp299Gly/Thr399Ile genotype on diabetic neuropathy was caused by a profile of lower risk factors in these patients.

The interpretation of our study results is limited because the patients were recruited from just one center and the diabetes duration (type 1, 19–21 years; type 2, 11–12 years) and age distribution (type 1, 47–50 years; type 2, 66–64 years) in patients with type 1 and type 2 diabetes were different. However, when we categorized age and diabetes duration into quartiles, we found no age- or duration-dependent influence on the association of Asp299Gly/Thr399Ile genotypes with diabetic neuropathy.

In conclusion, the results presented here suggest that the TLR4 gene might indeed be involved in the pathogenesis of diabetic neuropathy in type 2 diabetes, but the functional significance of this finding has yet to be confirmed in animal models with genetically controlled TLR4 expression.

Figure 1—

Electrophoretic separation of PCR fragments containing Asp299Gly and Thr399Ile polymorphic sequences after restriction endonuclease cleavage (type 2 diabetic patients) on a 3% agarose gel. A: Alleles of the Asp299Gly polymorphism of TLR4 in eight type 2 diabetic patients. A heterozygous carrier is shown in lane 5. B: Alleles of the Thr399Ile polymorphism of TLR4 in eight type 2 diabetic patients. A heterozygous carrier is shown in lane 5.

Figure 1—

Electrophoretic separation of PCR fragments containing Asp299Gly and Thr399Ile polymorphic sequences after restriction endonuclease cleavage (type 2 diabetic patients) on a 3% agarose gel. A: Alleles of the Asp299Gly polymorphism of TLR4 in eight type 2 diabetic patients. A heterozygous carrier is shown in lane 5. B: Alleles of the Thr399Ile polymorphism of TLR4 in eight type 2 diabetic patients. A heterozygous carrier is shown in lane 5.

Close modal
Table 1—

Baseline characteristics of type 1 and type 2 diabetic patients with different genotypes of the TLR4 polymorphisms

Type 1 diabetic patients
Type 2 diabetic patients
Asp/Asp and Thr/Thr genotypesAsp/Gly and Thr/Ile genotypesPAsp/Asp and Thr/Thr genotypesAsp/Gly and Thr/Ile genotypesP
n 218 26 — 460 65 — 
Diabetes duration (years) 18.7 (17.1–20.4) 20.8 (15.4–26.2) 0.44* 11.5 (10.6–12.3) 10.7 (8.4–12.9) 0.44* 
Female (%) 50 (35.5–64.5) 43 (24–62] 0.54 44 (39.4–48.4) 46.2 (34.0–58.3) 0.79 
Age (years) 46.5 (44.9–48.2) 49.0 (42.8–55.3) 0.51* 65.6 (64.6–66.5) 63.8 (61.2–66.4) 0.14* 
Nicotine use (%) 26 (19.1–32.9) 25 (8–42) 1.00 25.5 (20.6–30.5) 26.3 (12.3–40.3) 1.00 
Hypertension (%) 32.7 (19.1–46.3) 26.9 (24.6–29.2) 0.66 71.8 (67.5–75.9) 66.2 (54.7–77.7) 0.38 
HbA1c (%) 7.3 (7.1–7.5) 7.3 (6.8–7.7) 0.58* 7.5 (7.4–7.7) 7.2 (6.8–7.5) 0.08* 
Cholesterol (mg/dl) 193 (188–198) 194 (179–209) 0.90* 197 (193–201) 193 (180–206) 0.49* 
Triglycerides (mg/dl) 94 (84–103) 81 (63–98) 0.53* 171 (161–180) 173 (138–207) 0.82* 
BMI (kg/m225.4 (24.9–25.9) 25.0 (23.9–26.2) 0.79* 30.2 (29.7–30.7) 30.4 (29.1–31.7) 0.49* 
Type 1 diabetic patients
Type 2 diabetic patients
Asp/Asp and Thr/Thr genotypesAsp/Gly and Thr/Ile genotypesPAsp/Asp and Thr/Thr genotypesAsp/Gly and Thr/Ile genotypesP
n 218 26 — 460 65 — 
Diabetes duration (years) 18.7 (17.1–20.4) 20.8 (15.4–26.2) 0.44* 11.5 (10.6–12.3) 10.7 (8.4–12.9) 0.44* 
Female (%) 50 (35.5–64.5) 43 (24–62] 0.54 44 (39.4–48.4) 46.2 (34.0–58.3) 0.79 
Age (years) 46.5 (44.9–48.2) 49.0 (42.8–55.3) 0.51* 65.6 (64.6–66.5) 63.8 (61.2–66.4) 0.14* 
Nicotine use (%) 26 (19.1–32.9) 25 (8–42) 1.00 25.5 (20.6–30.5) 26.3 (12.3–40.3) 1.00 
Hypertension (%) 32.7 (19.1–46.3) 26.9 (24.6–29.2) 0.66 71.8 (67.5–75.9) 66.2 (54.7–77.7) 0.38 
HbA1c (%) 7.3 (7.1–7.5) 7.3 (6.8–7.7) 0.58* 7.5 (7.4–7.7) 7.2 (6.8–7.5) 0.08* 
Cholesterol (mg/dl) 193 (188–198) 194 (179–209) 0.90* 197 (193–201) 193 (180–206) 0.49* 
Triglycerides (mg/dl) 94 (84–103) 81 (63–98) 0.53* 171 (161–180) 173 (138–207) 0.82* 
BMI (kg/m225.4 (24.9–25.9) 25.0 (23.9–26.2) 0.79* 30.2 (29.7–30.7) 30.4 (29.1–31.7) 0.49* 

Data are means (asymptotic 95% CI).

*

Mann-Whitney U test;

Fisher’s exact test.

Table 2—

Frequencies and rates of genotypes of TLR4 polymorphisms in type 1 and type 2 diabetic patients with nephropathy and neuropathy

Type 1 diabetes
Type 2 diabetes
Asp/Asp and Thr/Thr genotypesAsp/Gly and Thr/Ile genotypesPORAsp/Asp and Thr/Thr genotypesAsp/Gly and Thr/Ile genotypesPOR
Nephropathy (%) 51 (23.2%) 5 (19.2%) 0.81 0.79 (0.28–2.20) 183 (39.4%) 23 (35.4%) 0.59 0.84 (0.49–1.45) 
Neuropathy (%) 64 (29.1%) 7 (26.9%) 1.00 0.90 (0.36–2.24) 236 (50.9%) 17 (26.2%) 0.0002 0.34 (0.19–0.61) 
Type 1 diabetes
Type 2 diabetes
Asp/Asp and Thr/Thr genotypesAsp/Gly and Thr/Ile genotypesPORAsp/Asp and Thr/Thr genotypesAsp/Gly and Thr/Ile genotypesPOR
Nephropathy (%) 51 (23.2%) 5 (19.2%) 0.81 0.79 (0.28–2.20) 183 (39.4%) 23 (35.4%) 0.59 0.84 (0.49–1.45) 
Neuropathy (%) 64 (29.1%) 7 (26.9%) 1.00 0.90 (0.36–2.24) 236 (50.9%) 17 (26.2%) 0.0002 0.34 (0.19–0.61) 

Data are means (asymptotic 95% CI) unless otherwise noted. P calculated with Fisher’s exact test.

Table 3—

Multivariate logistic regression analysis assessing the independent association of Asp299Gly and Thr399Ile genotypes of TLR4 gene and the presence of peripheral neuropathy in type 2 diabetic patients

OR (95% CI)P
Sex (male) 1.40 (0.94–2.09) 0.0963 
Hypertension 1.40 (0.89–2.19) 0.1485 
Age 1.05 (1.03–1.07) <0.0001 
HbA1c 1.14 (0.99–1.31) 0.0637 
Diabetes duration 1.05 (1.02–1.07) 0.0004 
TLR-4 polymorphisms 0.31 (0.16–0.60) 0.0005 
OR (95% CI)P
Sex (male) 1.40 (0.94–2.09) 0.0963 
Hypertension 1.40 (0.89–2.19) 0.1485 
Age 1.05 (1.03–1.07) <0.0001 
HbA1c 1.14 (0.99–1.31) 0.0637 
Diabetes duration 1.05 (1.02–1.07) 0.0004 
TLR-4 polymorphisms 0.31 (0.16–0.60) 0.0005 

An OR <1 means an inverse association with diabetic neuropathy.

This work was supported in part by grants from the Deutsche Forschungsgemeinschaft (DFG) (Nawroth 138/5-3 to P.N., DFG/Sonderforschungsbereich 405 to P.N., DFG Chavakis 279/1-1 to T.C., and DFG Isermann 67/1-2 to B.I.).

1.
Pickup JC, Crook MA: Is type II diabetes mellitus a disease of the innate immune system?
Diabetologia
41
:
1241
–1248,
1998
2.
Pickup JC, Mattock MB, Chusney GD, Burt D: NIDDM as a disease of the innate immune system: association of acute-phase reactants and interleukin-6 with metabolic syndrome X.
Diabetologia
40
:
1286
–1292,
1997
3.
Pradhan AD, Manson JE, Rifai N, Buring JE, Ridker PM: C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus.
JAMA
286
:
327
–334,
2001
4.
Temelkova-Kurktschiev T, Henkel E, Koehler C, Karrei K, Hanefeld M: Subclinical inflammation in newly detected type II diabetes and impaired glucose tolerance (Letter).
Diabetologia
45
:
151
,
2000
5.
Freeman DJ, Norrie J, Caslake MJ, Gaw A, Ford I, Lowe GD, O’Reilly DS, Packard CJ, Sattar N, West of Scotland Coronary Prevention Study: C-reactive protein is an independent predictor of risk for the development of diabetes in the West of Scotland Coronary Prevention Study.
Diabetes
51
:
1596
–1600,
2002
6.
Nguyen C, Teo JL, Matsuda A, Eguchi M, Chi EY, Henderson WR Jr, Kahn M: Chemogenomic identification of Ref-1/AP-1 as a therapeutic target for asthma.
Proc Natl Acad Sci U S A
100
:
1169
–1173,
2003
7.
Bierhaus A, Schiekofer S, Schwaninger M, Andrassy M, Humpert PM, Chen J, Hong M, Luther T, Henle T, Kloting I, Morcos M, Hofmann M, Tritschler H, Weigle B, Kasper M, Smith M, Perry G, Schmidt AM, Stern DM, Haring HU, Schleicher E, Nawroth PP: Diabetes-associated sustained activation of the transcription factor nuclear factor-κB.
Diabetes
50
:
2792
–2808,
2001
8.
Hofmann MA, Schiekofer S, Kanitz M, Klevesath MS, Joswig M, Lee V, Morcos M, Tritschler H, Ziegler R, Wahl P, Bierhaus A, Nawroth PP: Insufficient glycemic control increases nuclear factor-κB binding activity in peripheral blood mononuclear cells isolated from patients with type 1 diabetes.
Diabetes Care
21
:
1310
–1316,
1998
9.
Hofmann MA, Drury S, Hudson BI, Gleason MR, Qu W, Lu Y, Lalla E, Chitnis S, Monteiro J, Stickland MH, Bucciarelli LG, Moser B, Moxley G, Itescu S, Grant PJ, Gregersen PK, Stern DM, Schmidt AM: RAGE and arthritis: the G82S polymorphism amplifies the inflammatory response.
Genes Immun
3
:
123
–135,
2002
10.
Schmidt AM, Yan SD, Yan SF, Stern DM: The multiligand receptor RAGE as a progression factor amplifying immune and inflammatory responses.
J Clin Invest
108
:
949
–955,
2001
11.
Muzio M, Mantovani A: The toll receptor family.
Allergy
56
:
103
–108,
2001
12.
Kiechl S, Lorenz E, Reindl M, Wiedermann CJ, Oberhollenzer F, Bonora E, Willeit J, Schwartz DA: Toll-like receptor 4 polymorphisms and atherogenesis.
N Engl J Med
347
:
185
–192,
2002
13.
Chen S, Mukherjee S, Chakraborty C, Chakrabarti S: High glucose-induced, endothelin-dependent fibronectin synthesis is mediated via NF-kappa B and AP-1.
Am J Physiol
284
:
C263
–C272, 2003
14.
Streja D, Cressey P, Rabkin SW: Associations between inflammatory markers, traditional risk factors, and complications in patients with type 2 diabetes mellitus.
J Diabetes Complications
17
:
120
–127,
2003
15.
Carr ME: Diabetes mellitus: a hypercoagulable state.
J Diabetes Complications
15
:
44
–54,
2001
16.
Yabunaka N, Ohtsuka Y, Watanabe I, Noro H, Fujisawa H, Agishi Y: Elevated levels of heat-shock protein 70 (HSP70) in the mononuclear cells of patients with non-insulin-dependent diabetes mellitus.
Diabetes Res Clin Pract
30
:
143
–147,
1995
17.
Keren P, George J, Shaish A, Levkovitz H, Janakovic Z, Afek A, Goldberg I, Kopolovic J, Keren G, Harats D: Effect of hyperglycemia and hyperlipidemia on atherosclerosis in LDL receptor–deficient mice: establishment of a combined model and association with heat shock protein 65 immunity.
Diabetes
49
:
1064
–1069,
2000
18.
Raby BA, Klimecki WT, Laprise C, Renaud Y, Faith J, Lemire M, Greenwood C, Weiland KM, Lange C, Palmer LJ, Lazarus R, Vercelli D, Kwiatkowski DJ, Silverman EK, Martinez FD, Hudson TJ, Weiss ST: Polymorphisms in toll-like receptor 4 are not associated with asthma or atopy-related phenotypes.
Am J Respir Crit Care Med
166
:
1449
–1456,
2002
19.
Arbour NC, Lorenz E, Schutte BC, Zabner J, Kline JN, Jones M, Frees K, Watt JL, Schwartz DA: TLR4 mutations are associated with endotoxin hyporesponsiveness in humans.
Nat Genet
25
:
187
–191,
2000
20.
Ejskjaer N, Arift S, Dodds W, Zanone MM, Vergani D, Watkins PJ, Peakman M: Prevalence of autoantibodies to autonomic nervous tissue structures in type 1 diabetes mellitus.
Diabet Med
16
:
544
–549,
1999
21.
Watkins PJ: Clinical observations and experiments in diabetic neuropathy.
Diabetologia
35
:
2
–11,
1992
22.
Pittenger GL, Liu D, Vinik AI: The apoptotic death of neuroblastoma cells caused by serum from patients with insulin-dependent diabetes and neuropathy may be Fas-mediated.
J Neuroimmunol
76
:
153
–160,
1997
23.
Pittenger Gl, Liu D, Vinik AI: The neuronal toxic factor in serum of type 1 diabetes patients is a complement-fixing autoantibody.
Diabet Med
12
:
380
–386,
1995
24.
Vinik AI, Leichter SB, Pittenger GL, Stansberry KB, Holland MT, Powers AC, Suwanwalaikorn S: Phospholipid and glutamic acid decarboxylase autoantibodies in diabetic neuropathy.
Diabetes Care
18
:
1225
–1232,
1995
25.
DCCT Research Group: Factors in development of diabetic neuropathy: baseline analysis of neuropathy in feasibility phase of Diabetic Control and Complications Trial (DCCT).
Diabetes
37
:
476
–481,
1988
26.
Lorenz E, Frees KL, Schwartz DA: Determination of the TLR4 genotype using allele-specific PCR.
Biotechniques
31
:
22
–24,
2001
27.
Vinik AI, Park TS, Stansberry KB, Pittenger GL: Diabetic neuropathies.
Diabetologia
43
:
957
–973,
2000
28.
Schwartz DA: TLR4 and LPS hyporesponsiveness in humans.
Int J Hyg Environ Health
205
:
221
–227,
2002
29.
Salvayre R, Auge N, Benoist H, Negre-Salvayre A: Oxidized low-density lipoprotein-induced apoptosis.
Biochim Biophys Acta
1585
:
213
–221,
2002
30.
Bierhaus A, Haslbeck M, Humpert PM, Liliensiek B, Dehmer T, Morcos M, Wendt T, Andrassy M, Shultz J, Heuss D, Neundŏrler B, Schmidt AM, Tritschler H, Schwaninger M, Häring HU, Schleicher E, Stern DM, Arnold B, Nawroth PP: The role of RAGE mediated NF-κB activation in diabetic neuropathy and its possible role in loss of pain perception (Abstract).
Diabetes
52 (Suppl. 1)
:
A4
,
2003
31.
Cotter A, Cameron N: Effects of nuclear factor κB inhibition on neurovascular dysfunction (Abstract).
Diabetes
52 (Suppl. 1)
:
A192
,
2003
32.
Tesfaye S, Stevens LK, Stephenson JM, Fuller JH, Plater M, Ionescu-Tirgoviste C, Nuber A, Pozza G, Ward JD: Prevalence of diabetic peripheral neuropathy and its relation to glycaemic control and potential risk factors: the EURODIAB IDDM Complications Study.
Diabetologia
39
:
1377
–1384,
1996
33.
Forrest KY, Maser RE, Pambianco G, Becker DJ, Orchard TJ: Hypertension as a risk factor for diabetic neuropathy: a prospective study.
Diabetes
46
:
665
–670,
1997
34.
Tesfaye S, Chaturvedi N, Eaton SEM, Ward JD, Fuller J, the EURODIAB Study Group: Cardiovascular risk factors predict development of diabetic peripheral neuropathy (Abstract).
Diabetes
49 (Suppl. 1)
:
A34
,
2000
35.
Maser RE, Steenkiste AR, Dorman JS, Nielsen VK, Bass EB, Manjoo Q, Drash AL, Becker DJ, Kuller LH, Greene DA, Orchard TJ: Epidemiological correlates of diabetic neuropathy: report from Pittsburgh Epidemiology of Diabetes Complications Study.
Diabetes
38
:
1456
–1461,
1996
36.
Cameron NE, Eaton SEM, Cotter MA, Tesfaye S: Vascular factors and metabolic interactions in the pathogenesis of diabetic neuropathy.
Diabetologia
44
:
1973
–1988,
2001
37.
Eliasson: Cigarette smoking and diabetes.
Prog Cardiovasc Dis
45
:
405
–413,
2003

G.R. and P.R. contributed equally to this study.

A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.