OBJECTIVE—We sought to evaluate the use of oligonucleotide arrays to discriminate colonization from infection due to Staphylococcus aureus in diabetic foot ulcers.

RESEARCH DESIGN AND METHODS—We included diabetic patients hospitalized in a diabetic foot department for an episode of foot ulcer. Only patients who had no antibiotic treatment during the previous 6 months were included. At admission, ulcers were classified on clinical examination, according to the Infectious Diseases Society of America system. Seventy-two patients with a culture positive only for S. aureus as the sole pathogen were included. In individuals with a grade 1 ulcer, a second wound bacterial specimen was obtained 1 month later. Using oligonucleotide arrays, S. aureus resistance and virulence genes were compared between grade 1 and grades 2–4 ulcers.

RESULTSS. aureus was initially isolated from 22 grade 1 and 50 grade 2–4 ulcers: 35 were methicillin resistant and 37 methicillin sensitive. In 20 grade 1 ulcers (92%), no virulence genes were identified, whereas these genes were present in all but 1 grade 2–4 ulcers. During follow-up, the two grade 1 ulcers that were infected with strains carrying virulence genes rapidly deteriored; the array technology showed unchanged genotype profiles. On the contrary, two grade 1 ulcers healed: the genotype profiles were different from those at inclusion but without appearance of virulence genes.

CONCLUSIONS—The DNA array appears as a promising technique and is easy to perform. Our observational study suggests that it might help distinguish colonized grade 1 from infected grade 2 wounds, predict ulcer outcome, and contribute to a more adequate use of antibiotics.

Foot ulcers are common in diabetic patients, affecting 15–25% of them during their life. Forty to eighty percent of ulcers eventually become infected (1,2). These infections most often originate as skin ulcers spreading to soft tissue and eventually to bone structures (3). Staphylococcus aureus is by far the most common and most virulent pathogen in diabetic foot infections (4). Because of the dramatically increased risk of amputation due to foot infection in diabetic individuals, early diagnosis and adequate treatment are essential. However, as emphasized by the Infectious Diseases Society of America (IDSA) and the International Working Group on the Diabetic Foot, one of the major concerns in diabetic foot pathology is how to differentiate infection from colonization and, thus, grade 2 (or higher) from grade 1 ulcers according to the IDSA classification system (4,5). As microorganisms are always present on every skin wound, diagnosis of infection should not be based on microbiological findings but on clinical criteria. However, this is often problematic, resulting in misuse of antibiotics (3,6). In turn, inappropriate antibiotic usage contributes to the increasing prevalence of multidrug-resistant bacteria strains, notably methicillin-resistant S. aureus (MRSA) (4,5,711). Therefore, assessing strategies to prevent emergence and spread of resistance among organisms is of paramount interest. One major point in this regard includes early differentiation between colonization and infection.

Recently, a miniaturized oligonucleotide array covering the genes encoding resistance determinants, toxins, and species-specific sequences of S. aureus was developed. This rapid and reliable genotyping method that identifies 33 different S. aureus targets was validated under routine conditions (12). The aim of our study was to evaluate the potential of this method for differentiating infection from colonization and predicting grade 1 ulcers.

Prospective study

Between 1 January 2004 and 30 April 2006, we prospectively enrolled all diabetic patients admitted to our department with any type of foot ulcer. Patients were included if they had never been treated by antibiotics (first episode) or if systemic antibiotic treatment was stopped at least 6 months before the time of onset of the current episode (recurrent wound). Using the IDSA clinical criteria (5) recently validated by Lavery et al. (13), wounds were considered either colonized (grade 1) or infected (grade ≥2). After wound debridement, samples for bacterial culture were obtained by swabbing the wound base, by needle aspiration, or by tissue biopsies and immediately sent to the bacteriology department. To minimize bias, laboratory technicians were kept blind to the clinical data. Only patients with monomicrobial culture positive for S. aureus were retained for inclusion in the study. Patients with grade 1 ulcers did not receive antibiotic treatment but were closely followed up to definitively establish the wound status (infection/colonization) at 1 month after inclusion and until 6 months thereafter. If any worsening was noticed by the patient, they were instructed to come immediately in our outpatient department. If this evolution appeared during the first 3 weeks, the wounds were considered to have a rapid worsening evolution. If the symptoms were observed after 3 weeks, the wounds were considered in a slow worsening evolution. In case of ulcer healing (complete re-epithelialization), a microbiological specimen was obtained 1 month later. Otherwise, a sample was obtained during the worsening phase of the ulcer, and ulcer grade was updated. Ulcer healing was definitively assessed at 6 months after inclusion.

Genus, species, and antibiotic susceptibilities were determined using the Vitek 2 card (BioMérieux, Marcy-l'Etoile, France). Strains were classified as antibiotic sensitive, intermediately resistant, or resistant, according to the recommendations of the Antibiotic Committee of the French Society for Microbiology (14). Sensibility to methicillin was screened by agar diffusion test using cefoxitin (30 μg) disks (BioRad, Marnes La Coquette, France) (14).

Oligonucleotide DNA arrays and genotyping

Each S. aureus strain collected during the study was analyzed in the INSERM laboratory. Genomic DNAs were prepared as previously described (12). A primer elongation reaction was used before hybridization with the DNA array. A 20-μl aliquot of this labeled sample was then transferred into the ArrayTube (ClonDiag, Jena, Germany) and incubated for 60 min at 50°C. The staining reaction was performed according to the manufacturer's instructions. The ArrayTube was then placed into the ATR 04 reading device (Ivagen, Bernis, France). The IconoClust software was used according to the manufacturer for recording and analyzing the arrays. Signal intensity and local background were measured for each probe position. Intensity of local background was subtracted from those of the automatically recognized spots, and averages for all results of a given probe were calculated. Resulting values <0.1 were considered as negative, >0.3 as positive, and between 0.1 and 0.3 as equivocal. The studied virulence genes encoded for the main toxins produced by S. aureus during cutaneous infections included: leukocidins (lukF, lukS, lukS-PV, and lukF-PV), enterotoxins (sea, seb, sec, sek, and seq), exfoliatins (etA and etB), and toxic shock syndrome toxin (tsst). Validation was performed using negative (Staphylococcus epidermidis strains) and positive (S. aureus, where PCRs were developed for every target included in the present study) controls. Validation of mecA genes and virulence genes was obtained by PCR using standard in-house PCR (mecA) and previously published methods (12,16). Finally, arrays results and clinical data were compared and analyzed by two independent experts.

Statistics

For each qualitative variable, comparisons between grade 1 and 2 ulcers and between grade 1 and 2 and grade 3 and 4 ulcers were assessed using the χ2 test and Fisher's exact test. A P value ≤0.05 was considered statistically significant. Analysis was performed with SAS software, version 9.1 (Cary, NC).

From 338 selected patients, 72 were included; in 38 patients the wound was the first episode of ulceration, whereas in 34 it was recurrent. The distribution and characteristics of the included patients are shown in Fig. 1 and Table 1. Twenty-two wounds (30.6%) were classified as grade 1 and followed up for 6 months, 21 ulcers as grade 2 (29.2%), 20 as grade 3 (27.8%), and 9 as grade 4 (12.5%). Thirty-five (48.6%) of the 72 S. aureus we isolated were methicillin resistant (MRSA), and 37 (51.4%) were methicillin sensitive. All recurrent ulcers were positive for MRSA. Only one ulcer appearing as the first episode was positive for MRSA.

During the follow-up period, 8 grade 1 ulcers healed (36.4%), whereas 14 worsened. Two of 14 had a rapid worsening evolution (≤10 days) and 12 of 14 a slow worsening evolution (≥27 days). Two healing ulcers had samples that remained positive for S. aureus compared with 11 of the 14 nonhealed ulcers. During the whole study, 85 S. aureus were isolated (72 on the initial cultures and 13 during the follow-up period): 48 were methicillin-sensitive S. aureus and 37 MRSA (43.5%).

The prevalence of resistance and virulence determinants are summarized in Table 2. Results of the resistant genes completely agreed with conventional susceptibility data (data not shown). All MRSA isolates were detected by cefoxitin test and were positive for mecA by both PCR and arrays. ermC and ermA macrolide resistance genes were found in 32.9% and 27.1% of the isolates, respectively. The most prevalent aminoglycoside resistance gene was aadD (23.5% of the isolates). The tet, mupR, and dfrA genes were uncommon (<7% of the isolates). No van genes were detected, in agreement with the in vitro susceptibility data. No significant trend in distribution was observed along the different grades, except for the aadD gene, which was more frequently associated with severe grades (24) (P = 0.04). A trend was also observed for a higher prevalence of mecA with increasing severity of infection; nevertheless, the difference was statistically significant only for grade 1 compared with grade 4 (P < 0.05).

Concerning virulence genes, enterotoxins were detected in 43.5% of the isolates: sea (43.5%) and sec (10.6%) genes were the most prevalent. lukF and lukS leukocidin genes were found in 68.2% and 63.5% of the isolates, respectively. Interestingly, genes encoding Panton-Valentine leukocidin, toxic shock syndrome toxin, and exfoliatin A toxins were found in 1.2, 1.2, and 4.7% of the isolates, respectively. lukF, lukS, sea, and sek were significantly more frequent in grade 2 ulcers compared with grade 1 (P < 0.001).

On admission, S. aureus cultured from 20 of 22 grade 1 ulcers showed no virulence genes, whereas these genes were present in all but one S. aureus isolated from grade 2–4 ulcers. The enterotoxin A gene (sea) was significantly associated with severe grades (3 and 4) (P < 0.001).

At follow-up, S. aureus was isolated from 13 grade 1 ulcers (Table 3). S. aureus from the two healing ulcers were of a different genotype profile compared with the initial sample, only due to difference in resistance genes. However, in both cases, no virulence genes were detected in initial or in follow-up samples. Two of the 11 worsening ulcers showed a rapid deterioration. Both genotype profiles of isolated S. aureus were unchanged. Unlike strains from other grade 1 ulcers, they carried virulence genes. S. aureus from slowly worsening recalcitrant ulcers showed genotype profiles completely different from those at inclusion, with appearance of many virulence genes in every case (Fig. 1).

Our study suggests that DNA arrays may be a useful tool for rapidly determining S. aureus genotype profiles and differentiating infection from colonization. Over the last few years, different DNA array technologies have been developed, but most systems are very expensive, time consuming, technically demanding, and difficult to adapt to the needs of clinical screening, restricting their use to research laboratories (12,16). In contrast, the miniaturized oligonucleotide array described in this study is relatively easy to perform; the use of tube-integrated arrays (Lab-on Chip system) with nonfluorescent labeling and a rapid hybridization protocol is time saving, easy to use and interpret, and allows large numbers of samples to be analyzed (12). An isolate, once cultured, can be processed within 1 day.

This study confirmed the correlation between results for arrays and PCR as previously demonstrated (12). Nearly one-half of S. aureus we isolated were methicillin resistant. This high-prevalence rate is likely attributable to the high proportion of patients with recurrent ulcers: all were previously infected and had been already treated with antibiotics during a preceding hospitalization, a well-established risk factor for selecting antibiotic-resistant organisms, especially in a diabetic foot clinic (2,4,5,8). However, in grade 1 ulcers, the prevalence of MRSA was limited (29.2%), ruling out the possibility for a clonal transmission of MRSA to explain our results. Finally, an additional interest of the array technology was its ability to identify Panton-Valentine genes; these genes coding for a cytotoxin are thought to be a major threat in severe tissue necrosis (1721). Interestingly, these genes were present in a strain from a deep ulcer (grade 4).

The main result of our observational study is to show that the microarray technology enables clinicians to distinguish grade 1 from grade 2 ulcers, as the former generally displayed a very low level of virulence genes. Moreover, this tool allows us to predict wound outcome. Indeed, the two grade 1 ulcers with strains carrying virulence determinants had a rapidly worsening course, whereas the strains isolated in the initial and the follow-up samples showed exactly the same genotype profile, suggesting that the isolates were the same and that the wounds were actually infected—not only colonized. According to the genotype profile of S. aureus isolated for grade 1 ulcers, an adapted management of diabetic foot ulcers might be proposed. Furthermore, the array results provide rapid data on S. aureus in vitro susceptibility, notably the presence of the mecA gene, an important therapeutic concern.

One of the main limitations in this study is the small number of grade 1 ulcers we followed-up. Due to the low number of patients consulting for grade 1 ulcer with S. aureus as the sole pathogen and the low level of grade 1 wounds with rapid worsening, a large recruitment would be difficult to obtain. However, a large-scale study must be developed to definitively validate this tool. Moreover, the proposed array could be easily expanded to additional target genes and also adapted for testing other main pathogens isolated in diabetic foot ulceration (Enterobacteriaceae, Pseudomonas spp., or streptococci). Thus, this clinical platform appears suitable for use under routine conditions in a microbiology laboratory.

In conclusion, the increasing prevalence of staphylococci resistance and the small number of new antimicrobial drugs must stimulate the discovery of new solutions in the near future. The miniaturized oligonucleotide arrays may be an interesting tool in management of diabetic foot ulceration, allowing an earlier discrimination of infection from colonization of wounds and a more adequate usage of antibiotic treatment.

Figure 1—

Flow of patients through the study and examples of hybridization pictures of grade 1 ulcers during inclusion and follow-up. In grade 1 ulcers, two array profiles were obtained: profile 1, without virulence genes; profile 2, with some virulence genes. During follow-up, if the wound healed, array profiles (profile 3) are different from inclusion profiles (profile 1) without virulence genes. Also, if a wound presented a slow worsening evolution, array profiles (profile 4) are different from inclusion profiles (profile 1) with virulence genes in all of the follow-up cases. On the other hand, if the wound presented a rapid worsening evolution, array profiles (profile 2) are exactly the same in inclusion and follow-up with virulence genes. aGrades according to the International Working Group on the Diabetic Foot and IDSA classifications system (4,5). bIn grade 2, 20 S. aureus (95.2%) had virulence genes and 1 S. aureus (4.8%) had no virulence gene. *Profile identical at initial sample. DFU, diabetic foot ulceration.

Figure 1—

Flow of patients through the study and examples of hybridization pictures of grade 1 ulcers during inclusion and follow-up. In grade 1 ulcers, two array profiles were obtained: profile 1, without virulence genes; profile 2, with some virulence genes. During follow-up, if the wound healed, array profiles (profile 3) are different from inclusion profiles (profile 1) without virulence genes. Also, if a wound presented a slow worsening evolution, array profiles (profile 4) are different from inclusion profiles (profile 1) with virulence genes in all of the follow-up cases. On the other hand, if the wound presented a rapid worsening evolution, array profiles (profile 2) are exactly the same in inclusion and follow-up with virulence genes. aGrades according to the International Working Group on the Diabetic Foot and IDSA classifications system (4,5). bIn grade 2, 20 S. aureus (95.2%) had virulence genes and 1 S. aureus (4.8%) had no virulence gene. *Profile identical at initial sample. DFU, diabetic foot ulceration.

Close modal
Table 1—

Demographic and clinical characteristics of study patients

CharacteristicsValue
Age (years) 67.5 (43–95) 
Male/female 42 (58.3)/30 (41.7) 
Type 1/type 2 diabetes 9/63 
Diabetes duration (years) 17 ± 15 
A1C (%) 7.3 ± 2.2 
First presentation/recurrence 38 (52.7)/34 (47.3) 
    Cardiovascular disease  
        Coronary heart disease 39 (54.2) 
        Peripheral arterial disease 15 (20.8) 
        Stroke 6 (8.3) 
    Nephropathy  
        Absence 32 (44.4) 
        Microalbuminuria 18 (25) 
        Proteinuria 11 (15.3) 
        Renal failure 12 (16.7) 
    Diabetic retinopathy  
        Absence 25 (34.7) 
        Nonproliferative diabetic retinopathy 29 (40.3) 
        Proliferative diabetic retinopathy 18 (25) 
Cardiovascular risk factors  
    Arterial hypertension 52 (72.2) 
    Obesity 26 (36.1) 
    Smoking 32 (44.4) 
    Sedentarity 33 (45.8) 
    LDL >1 g/l 39 (54.2) 
Previous hospitalization <1 year 11 (15.3) 
IDSA grade  
    1 22 (30.6) 
    2 20 (27.8) 
    3 21 (29.2) 
    4 9 (12.5) 
Main wound characteristics  
    Superficial 42 (58.3) 
    Deep 30 (41.7) 
    Toe localization 39 (54.2) 
    Neuropathic ulcer 26 (36.1) 
    Neuro-ischemic or ischemic ulcer 46 (63.9) 
Microbial samples  
    Swab 44 (61.1) 
    Aspiration 13 (18.1) 
    Tissue biopsy 15 (20.8) 
Wound evolution (6 months after enrollment)  
    Eradication of clinical signs (day) 13 (7–43) 
    Healing 27 (37.5) 
    Wound healing time (week) 8 (0.5–23) 
    No healing 19 (26.4) 
    Revascularization procedure 18 (25) 
    Amputation 6 (8.3) 
    Death 2 (2.8) 
    No follow-up 0 (0) 
CharacteristicsValue
Age (years) 67.5 (43–95) 
Male/female 42 (58.3)/30 (41.7) 
Type 1/type 2 diabetes 9/63 
Diabetes duration (years) 17 ± 15 
A1C (%) 7.3 ± 2.2 
First presentation/recurrence 38 (52.7)/34 (47.3) 
    Cardiovascular disease  
        Coronary heart disease 39 (54.2) 
        Peripheral arterial disease 15 (20.8) 
        Stroke 6 (8.3) 
    Nephropathy  
        Absence 32 (44.4) 
        Microalbuminuria 18 (25) 
        Proteinuria 11 (15.3) 
        Renal failure 12 (16.7) 
    Diabetic retinopathy  
        Absence 25 (34.7) 
        Nonproliferative diabetic retinopathy 29 (40.3) 
        Proliferative diabetic retinopathy 18 (25) 
Cardiovascular risk factors  
    Arterial hypertension 52 (72.2) 
    Obesity 26 (36.1) 
    Smoking 32 (44.4) 
    Sedentarity 33 (45.8) 
    LDL >1 g/l 39 (54.2) 
Previous hospitalization <1 year 11 (15.3) 
IDSA grade  
    1 22 (30.6) 
    2 20 (27.8) 
    3 21 (29.2) 
    4 9 (12.5) 
Main wound characteristics  
    Superficial 42 (58.3) 
    Deep 30 (41.7) 
    Toe localization 39 (54.2) 
    Neuropathic ulcer 26 (36.1) 
    Neuro-ischemic or ischemic ulcer 46 (63.9) 
Microbial samples  
    Swab 44 (61.1) 
    Aspiration 13 (18.1) 
    Tissue biopsy 15 (20.8) 
Wound evolution (6 months after enrollment)  
    Eradication of clinical signs (day) 13 (7–43) 
    Healing 27 (37.5) 
    Wound healing time (week) 8 (0.5–23) 
    No healing 19 (26.4) 
    Revascularization procedure 18 (25) 
    Amputation 6 (8.3) 
    Death 2 (2.8) 
    No follow-up 0 (0) 

Data are median (interquartile range 25th–75th percentile) or n (%).

Table 2—

Prevalence of resistance determinants among S. aureus strains isolated from diabetic foot ulcers

Grade 1Grade 2Grade 3Grade 4TotalP
G1 vs. G2G1 vs. G2–4*
Number of strains 24 (28.2) 23 (27.1) 28 (32.9) 10 (11.8) 85 (100) — — 
Resistance genes mecA 7 (29.2) 9 (39.1) 14 (50.0) 7 (70.0) 37 (43.5) — — 
    blaZ 22 (91.7) 22 (95.7) 28 (100) 10 (100) 82 (96.5) — — 
    ermA 3 (12.5) 7 (29.2) 9 (32.1) 4 (40.0) 23 (27.1) — — 
    ermC 6 (25.0) 7 (29.2) 10 (35.7) 5 (50.0) 28 (32.9) — — 
    aadD 2 (8.3) 3 (13.0) 14 (50.0) 1 (10.0) 20 (23.5) — 0.04 
    vanA — — — — — — — 
    vanB — — — — — — — 
    vanZ — — — — — — — 
Virulence genes        
    lukS 2 (8.3) 18 (78.3) 24 (85.7) 10 (100) 54 (63.5) <0.001 <0.001 
    lukF 2 (8.3) 20 (88.0) 26 (92.9) 10 (100) 58 (68.2) <0.001 <0.001 
    lukS-PV and lukF-PV — — — 1 (10.0) 1 (1.2) — — 
    sea 2 (8.3) 8 (34.8) 19 (67.9) 8 (80.0) 37 (43.5) <0.001 <0.001 
    sek — 4 (17.4) — 4 (40.0) 8 (9.4) 0.04 — 
    none 22 (91.7) 1 (4.3) — — 23 (27.1) <0.001 <0.001 
Grade 1Grade 2Grade 3Grade 4TotalP
G1 vs. G2G1 vs. G2–4*
Number of strains 24 (28.2) 23 (27.1) 28 (32.9) 10 (11.8) 85 (100) — — 
Resistance genes mecA 7 (29.2) 9 (39.1) 14 (50.0) 7 (70.0) 37 (43.5) — — 
    blaZ 22 (91.7) 22 (95.7) 28 (100) 10 (100) 82 (96.5) — — 
    ermA 3 (12.5) 7 (29.2) 9 (32.1) 4 (40.0) 23 (27.1) — — 
    ermC 6 (25.0) 7 (29.2) 10 (35.7) 5 (50.0) 28 (32.9) — — 
    aadD 2 (8.3) 3 (13.0) 14 (50.0) 1 (10.0) 20 (23.5) — 0.04 
    vanA — — — — — — — 
    vanB — — — — — — — 
    vanZ — — — — — — — 
Virulence genes        
    lukS 2 (8.3) 18 (78.3) 24 (85.7) 10 (100) 54 (63.5) <0.001 <0.001 
    lukF 2 (8.3) 20 (88.0) 26 (92.9) 10 (100) 58 (68.2) <0.001 <0.001 
    lukS-PV and lukF-PV — — — 1 (10.0) 1 (1.2) — — 
    sea 2 (8.3) 8 (34.8) 19 (67.9) 8 (80.0) 37 (43.5) <0.001 <0.001 
    sek — 4 (17.4) — 4 (40.0) 8 (9.4) 0.04 — 
    none 22 (91.7) 1 (4.3) — — 23 (27.1) <0.001 <0.001 

Data are n (%).

*

G2–4 corresponds to grade 2 + grade 3 + grade 4 according to the International Working Group on the Diabetic Foot classification system (4,5). Resistance determinants: aadD, aminoglycosides resistance; blaZ, β-lactamase; ermA and ermC, macrolide resistance; mecA, methicillino-resistance; vanA, vanB, and vanZ, glycopeptide resistance. Virulence determinants: lukS and lukF, leukocidin toxins; lukS-PV and lukF-PV, Panton-Valentine leukocidin; sea and sek, enterotoxins.

Table 3—

Virulence profiles of S. aureus isolated from grade 1 ulcers at initial sampling and follow-up

GradesInitial samples
Follow-up
Grade 1Grade 1 without S. aureusGrade ≥2 without monomicrobial S. aureusGrade 1Grade 2
Grade 3
Grade 4
Wound evolutionRapidSlowRapidSlowRapidSlow
No. of patients 22 
No. of strains 20 (profile 1) 6 (no profile) 3 (no profile) 2 (profile 11 (profile 21 (profile 4) 1 (profile 33 (profile 4) — 1 (profile 4) 
(Profiles obtained*1 (profile 2)     1 (profile 5)  1 (profile 6)   
 1 (profile 3)       1 (profile 7)   
        1 (profile 8)   
        1 (profile 9)   
GradesInitial samples
Follow-up
Grade 1Grade 1 without S. aureusGrade ≥2 without monomicrobial S. aureusGrade 1Grade 2
Grade 3
Grade 4
Wound evolutionRapidSlowRapidSlowRapidSlow
No. of patients 22 
No. of strains 20 (profile 1) 6 (no profile) 3 (no profile) 2 (profile 11 (profile 21 (profile 4) 1 (profile 33 (profile 4) — 1 (profile 4) 
(Profiles obtained*1 (profile 2)     1 (profile 5)  1 (profile 6)   
 1 (profile 3)       1 (profile 7)   
        1 (profile 8)   
        1 (profile 9)   
*

Profile 1: no virulence gene; Profile 2: sea + sec + lukF + lukS; Profile 3: sea + etA + lukF + lukS; Profile 4: lukF + lukS; Profile 5: sec + tsst + lukF + lukS; Profile 6: sea + lukF + lukS; Profile 7: sea + sec + lukS; Profile 8: sea + seb + etA + lukF + lukS; Profile 9: sea + lukF.

Virulence profile at initial sample (profile unchanged between initial sample and follow-up).

This work was supported by the Coloplast Foundation, the French Speaking Association for Diabetes and Metabolic Diseases (ALFEDIAM-Aventis grant), the Fondation pour la Recherche Médicale Languedoc-Roussillon-Rouergue, and l'Université Montpellier 1 (Bonus Qualité Recherche).

We thank all of the participants of the Department of Diabetology for help in recruiting patients.

This study was presented at the 26th Interdisciplinary Symposium on Anti-Infectious Chemotherapy (RICAI), Paris, France, December 2006.

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Published ahead of print at http://care.diabetesjournals.org on 11 May 2007. DOI: 10.2337/dc07-0461.

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

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