Introduction: Recent studies show that 85% of cases of non-traumatic
amputations in patients with diabetes mellitus are preceded by a wound
infection of the foot, this confirms the need for rational antimicrobial
therapy. Therefore, competent rapid identification of microorganisms is a
priority task of modern microbiology. Matrix-Assisted Laser Desorption
Ionization TOF- stands for Time of Flight Mass Spectrometry (MALDI-TOF MS) is
considered as the revolution in bacteriology, to identify pathogens isolated in
a clinical microbiological laboratory. In this regard, MALDI-TOF MS is an
ideal solution for the rapid identification of DFS
Objectives: To Explore of Modern Laboratory Technique (MALDI-TOF MS) for the
identification of opportunistic microorganisms in patients with Diabetic Foot
Syndrome (DFS).
Materials and Methods: Was performed from September 2012 to May 2015 on patients
admitted to the Emergency Room of the Hospital General de México. 72 patients
with (DFS) diabetic foot syndrome were investigated for the period
of 2013-2015 years. The comparison group consisted of 30 patients
with chronic purulent inflammatory diseases of the lower extremities not
suffering from diabetes mellitus.
Identification of microorganisms was carried out using MALDI-TOF
spectrometry (BRUKER 2012).
Results: This study revealed the prevalence gram-positive bacteria in
patients with DFS. The dominant microorganism in the etiology of DFS was S.
aureus, which occurred mostly as monoculture. Coagulase-Negative
Staphylococci (CoNS) were represented mainly by S. haemolyticus and S.
epidermidis generally recognized as a pathogen of medical devices in
our case does not have an important role. Enterobacteria and non-fermenting
bacteria represented Gram-negative bacteria.
Keywords: Coagulase
-Negative Staphylococci; Diabetic Foot Syndrome; MALDI-TOF
Spectrometry; S. aureus
1. Introduction
Patients with diabetes every year is steadily
increasing. The following facts are given in WHO factsheets: the number of
people with diabetes has risen from 108 million in 1980 to 422 million in
2014.Diabetes is a major cause of blindness, kidney failure, heart attacks,
stroke and lower limb amputation. In 2015, an estimated 1.6 million deaths were
directly caused by diabetes. Another 2.2 million deaths were attributable to
high blood glucose in 2012 [1]. One of the most common complications of
diabetes is DFS - the gangrene of the foot develops in patients with diabetes
mellitus, which is the main cause of limb amputation in more than 50% of
patients, postoperative mortality rate is 13-20% [2]. Recent studies show
that 85% of cases of non-traumatic amputations in patients with diabetes
mellitus are preceded by a wound infection of the foot, this confirms the need
for rational antimicrobial therapy [3]. Therefore, competent rapid
identification of microorganisms is a priority task of modern microbiology.
Currently microorganisms are best identified using 16S rRNA and 18S rRNA gene
sequencing. However, in recent years’ matrix assisted laser desorption ionization-time
of flight mass spectrometry has emerged as a potential tool for microbial
identification and diagnosis Bizzini A et al. [4,5]. It is believed that
MALDI-TOF mass spectrometry can be used as an alternative to sequencing the 16S
rRNA gene to identify a pathogen [6]. Numerous studies confirm that MALDI-TOF
MS equivalent or even surpassed the traditional diagnostic methods in speed and
accuracy in detecting blood stream infections [7,8]. MALDI-TOF MS is
considered as the revolution in bacteriology, to identify pathogens isolated in
a clinical microbiological laboratory [9,10]. Traditional culture method is a
costly and time consuming process requiring 3-5 days for detection and
identification of the pathogens. Numerous studies have shown that MALDI-TOF MS is a rapid,
reliable and cost-effective technique for identification of bacteria
[11]. In this regard, MALDI-TOF MS is an ideal
solution for the rapid identification of DFS pathogens to carry out competent
antimicrobial therapy.
2. Materials and Methods
The sample consisted of 72 patients admitted to the Emergency
Room of the Karaganda city hospital number 1" and "Regional Medical
Center from September 2013 to May 2015 years. The patients were diagnosed
with type 2 Diabetes Mellitus (T2DM). and infected diabetic foot
ulcers. The comparison group consisted of 30 patients with chronic
purulent-inflammatory diseases of the lower extremities, with no history of
diabetes mellitus. Surgeons assessed the ulcers, sample for culture was
collected with a cotton-tipped sterile swab from the deeper parts of the foot
ulcer. Initially, wound contents were examined by a microscopic method. An
approximate identification of microorganisms was carried out in Gram-stained
smears. Swabs received were also cultured on mannitol salt agar, meat-peptone
agar, blood agar, Sabouraud gentamicin-chloramphenicol agar and the plates were
incubated overnight at 37 °C in aerobic
conditions. Anaerobic incubation was not carried out due to lack of equipment. Colonies
obtained were identified by direct application method using
standard operational protocol on MALDI-TOF spectrometry (Bruker Daltonics
2012). The biomaterial (single colony) was distributed in a thin layer directly
to the target point on the metal plate, starting from the middle. Cover the
dots with the applied biomaterial 1 µl of
the α-cyano-4-Hydroxycinnamic Acid (CHCA) matrix solution for an hour
after drying and allow to dry completely at room temperature. After the crystallization
of the matrix and compound, the target on the metal plate is introduced in the
mass spectrometer. Bioanalytes separated according to their TOF create a mass
spectrum. A spectrum is thus a microbial signature that is compared with a
database for the identification at the species or genus level [12].
3. Statistical Analysis was performed using
the STATISTICA-6 package.
The relative frequency (p) of the occurrence of
an attribute was determined as follows:
k - Number of cases with the attribute of interest
n - Sample size
The attribute is defined as a specific characteristic or feature
of a given subject
p is calculated by sample; it reflects the population with some
error:
The confidence interval for the p is located within
tα- is the critical value of the
bilateral t-criterion of the Student for a given α and (n1 + n2-2) degrees
of freedom. To compare the relative frequency of occurrence of an attribute in different independent sets, the
criterion z was used: Differences were considered statistically
significant at p < 0.05.
4. Results
Results of the 72 patients with DFS enrolled for the study, 19
(26.39%) were males and 53 (73.61%) were females, with a male to female ratio
of 1: 2.8. The age range was 40-77 years with mean age 54 ± 7.8 years. Of the 30
patients comparison group 14 (46.66%) were males and 16 (53.34%) were females.
The age range was 28-60 years with mean age 44 ± 9.1 years. A total
of 100 isolates were obtained from the 72 patients with DFS, accounting for the
average of 1.39 isolates per subject. Mono-microbial infection occurred among
46 (64%) patients with DFS while polymicrobial infection occurred among 28
(36%). Figure 1 shows the distribution of bacterial isolates among
patients with DFS.
S. aureus had the highest degree of occurrence (37%) followed by S. haemolyticus (17%).
The proportion of E. coli, E.faecalis and E.cloaceae was (12%), (12%) and (10%)
respectively. P.mirabilis (4%) A.baumanii (4%), P.aeruginosa (2%)
C.albicans (2%) were also isolated.
S. aureus and P. aeruginosa were isolated as
mono-microbial culture; at the same time P. mirabilis, A. baumanii,C.
albicans occurred in mix culture, the most frequent combination with
Coagulase -Negative Staphylococci (CoNS). A total of 44 isolates
were obtained from the 30 comparison group patients accounting for the average
of 1.47 isolates per subject. Mono-microbial infection occurred among 22
(73.3%)) patients while polymicrobial infection occurred among 8 (26.7%).
Figure 2 shows the distribution of bacterial isolates among comparison group
patients.
S. aureus had the highest degree of occurrence (27.3%) followed by S.
haemolyticus, S.pyogenes and Enterobacter spp.
(13.6%).
There was a statistically significant difference between
gram-positive and gram-negative bacteria in patients with DFS (Table 1), in the
comparison group there was only a slight predominance of gram-positive
microorganisms over gram-negative.
Isolates of S. aureus are statistically
significant higher in patients with DFS (Table 2), compared with S.
haemolyticus and E. faecalis (α <0.01 and
0.005)
S.pyogenes was isolated only in comparison group patients. Among the
gram-negative bacteria E. coli and Enterobacter spp.
dominated in both groups. P. mirabilis, A baumanii, Pseudomonas and
Candida were isolated in insignificant amounts. Klebsiella were
isolated from patients of the comparison group
5. Discussion
The annual population-based incidence of diabetic foot ulcers is
estimated to be 1.0-4.1 %, while the lifetime rate extends to around 25 % [13]
A common complication of these ulcers is infection, which if left untreated,
results in the need for distal limb amputation [14]. In present study 53
(73,61%) females and 19 (26.39%) were males, with a male to female ratio of
1:2.8. This is significantly different from most study results in which have
reported male sex as a significant risk factor for non-healing ulcer [15]. The
age range was 40-77 years with mean age 54 ± 7.8 years. A total of 100 aerobic
and facultative anaerobic bacterial isolates were encountered in the 72
patients with DFS accounting for an average of 1.39 isolates per subject. It is
it is no different from comparison group patients accounting for the
average of 1.47 isolates per subject. Mono-microbial infection occurred among
46 (64%) patients with DFS while polymicrobial infection occurred among 28
(36%). S. aureus and P. aeruginosa were
isolated as mono-microbial culture; at the same time P. mirabilis, A.
baumanii, C. albicans occurred in mix culture, the most
frequent combination with coagulase -negative staphylococci (CoNS).
We found that the infection in most diabetic foot lesions was
polymicrobial. This pathogen isolation rate per lesion is 1.97 reported
by Sarita Otta et al. [16] and 2.37 reported by Carvalho et al.
[17] The predominance 75.6 per cent of gram-negative organisms has been noted
in several studies [18]. However, certain studies [19,20] have established
a higher proportion of gram-positive organisms. In this study, 66%
gram-positive and 34% gram-negative bacteria isolated from patient with
DFS. S. aureus was the most commonly isolated organisms (37 %)
followed by S. haemolyticus (17%). CoNS were represented mainly
by S. haemolyticus. S. epidermidis, generally
recognized as a pathogen of medical devices, in our case does not have an
important role. S.pyogenes was isolated only in comparison
group patients. Among the gram-negative bacteria E. coli and Enterobacter spp.
dominated in both groups. Ramakant et al. [21] in Lucknow, India, reported P.
aeruginosa as the most common gram-negative isolate in diabetic foot ulcer
patients in their study. Similar results were obtained by Ofonime M. Ogba et
al. Pseudomonas aeruginosa was the most common gram-negative isolate to 24.7%
in patient with DFS. In present studies Pseudomonas aeruginosa like P.
mirabilis, A. baumanii, and Candida were isolated in
insignificant amounts. Klebsiella were only isolated from patients of the
comparison group.
6. Conclusion
MALDI-TOF MS is a rapid,
reliable and cost-effective technique for identification of bacteria in patient
with DFS. A total of 100 aerobic and facultative anaerobic bacterial
isolates were encountered in the 72 patients with DFS accounting for an average
of 1.39 isolates per subject. Mono-microbial infection occurred among 46
(64%) patients with DFS while polymicrobial infection occurred among 28 (36%).
Gram positive microorganisms prevailed over Gram -negative 66% and 34%
respectively. The dominant microorganism in the etiology of DFS was S.aureus (37%),
which occurred mostly as monoculture. CoNS were represented mainly by S.
haemolyticus. S. epidermidis, generally recognized as a
pathogen of medical devices, in our case does not have an important
role. Among the gram-negative bacteria E. coli and Enterobacter spp.
dominated in both groups.
Figure 1: Distribution of bacterial isolates among patients with DFS.
Figure 2: Distribution of bacterial isolates among comparison group patients.
Microorganisms |
DFS patients |
Comparison
group patients |
|||||||
n |
p% |
mp |
95% CI |
Critical
t-value (α) < |
n |
p% |
mp |
95%CI |
|
Gram-positive
bacteria |
66 |
66 |
4.73 |
9.28 |
|
24 |
54.54 |
4.97 |
10.03 |
Gram-negative bacteria |
32 |
32 |
4.66 |
9.14 |
0.005 |
16 |
38.64 |
7.34 |
14.7 |
Fungi
(Candida) |
2 |
2 |
1.4 |
2.74 |
|
3 |
6.82 |
3.8 |
7.67 |
Total |
100 |
100 |
|
|
|
43 |
100 |
|
|
Table 1: Comparison of isolates of Gram-positive and Gram-negative bacteria by
subjects.
Microorganisms |
DFS
patients |
Comparison group patients |
|||||||
(n) p% |
mp |
Critical t-value
(α) |
95% CI |
n |
p% |
mp |
95%
CI |
||
Gram-positive
bacteria |
|||||||||
S. aureus |
37 |
4.83 |
|
9.46 |
12 |
27.3 |
4.57 |
9.24 |
|
S. haemolyticus |
17 |
3.76 |
<0.01 |
7.06 |
6 |
13.6 |
3.43 |
6.92 |
|
E. faecalis |
12 |
3.25 |
<0.005 |
6.37 |
- |
- |
- |
- |
|
S.pyogenes |
- |
- |
|
- |
6 |
13.6 |
3.43 |
6.92 |
|
Gram-negative
bacteria |
|||||||||
E. coli |
12 |
3.25 |
|
6.37 |
4 |
9.1 |
5,3 |
10.7 |
|
Enterobacter spp. |
10 |
3.0 |
* |
5.88 |
6 |
13.6 |
5,17 |
10.45 |
|
Klebsiella spp. |
- |
- |
* |
- |
2 |
4.54 |
3,13 |
6.32 |
|
P. mirabilis |
4 |
1.96 |
* |
3.84 |
2 |
4.54 |
3,13 |
6.32 |
|
A.baumanii |
4 |
1.96 |
* |
3.84 |
2 |
4.54 |
3,13 |
6.32 |
|
Pseudomonas |
2 |
1.4 |
|
2.74 |
1 |
2.3 |
2.25 |
4.51 |
|
Candida |
2 |
1.4 |
|
2.74 |
3 |
6.84 |
3.8 |
7.67 |
|
Total |
100 |
|
|
|
44 |
100 |
|
|
|
*
-α >0,05 |
Table 2: Comparison of isolates by subjects.
- WHO | Diabetes - World Health Organization
- Apelqvist J, Larsson J (2000) What is the most effective way to reduce incidence of amputation in the diabetic foot?. Diabetes Metab Res Rev 16: 75-83.
- Gjødsbøl K, Christensen JJ, Karlsmark T, Jørgensen B, Klein BM, et al. (2006) Multiple bacterial species reside in chronic wounds: a longitudinal study. International Wound J 3: 225-231.
- Singhal N, Kumar M, Kanaujia PK, Virdi JS (2015) MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis. Front Microbiol 6: 791.
- Yaman G, Akyar I, Can S (2012) Evaluation of the MALDI TOF-MS method for identification of Candida strains isolated from blood cultures. Diagn Microbiol Infect Dis 73: 65-67.
- Bizzini A, Jaton K, Romo D, Bille J, Prod’hom G, et al. (2011) Matrix-assisted laser desorption ionization–time of flight mass spectrometry as an alternative to 16S rRNA gene sequencing for identification of difficult-To-identify bacterial strains. J Clin Microbiol 49: 693-696.
- Lazzarini PA, Gurr JM, Rogers JR, Schox A, Bergin SM (2012) Diabetes foot disease: the Cinderella of Australian diabetes management?. Journal of Foot and Ankle Research 5: 24.
- Stevenson LG, Drake SK, Murray PR (2010) Rapid identification of bacteria in positive blood culture broths by matrix-assisted laser desorption ionization-time of flight mass spectrometry. J Clin Microbiol 48: 444-447.
- Bizzini A, Durussel C, Bille J, Greub G, Prod'hom G (2010) Performance of matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of bacterial strains routinely isolated in a clinical microbiology laboratory. J Clin Microbiol 48: 1549-1554.
- Seng P, Drancourt M, Gouriet F, La Scola B, Fournier PE, et al. (2009) Ongoing revolution in bacteriology: routine identification of bacteria by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Clin Infect Dis 49: 543-551
- Singhal N, Kumar M, Kanaujia PK, Virdi JS (2015) MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis. Front Microbiol 6: 791.
- Croxatto A, Prod'hom G, Greub G (2012) Applications of MALDI-TOF mass spectrometry in clinical diagnostic microbiology. FEMS Microbiol Rev 36: 380-407.
- Wu SC, Driver VR, Wrobel JS, Armstrong DG (2007) Foot ulcers in the diabetic patient, prevention and treatment. Vasc Health Risk Manag 3: 65-76.
- Banu A, Noorul HMM, Rajkumar J, Srinivasa S (2015) Spectrum of bacteria associated with diabetic foot ulcer and biofilm formation: A prospective study. Australas Med J 8: 280-285.
- Prompers L, Schaper N, Apelqvist J, Edmonds M, Jude E, et al. (2008) Prediction of outcome in individuals with diabetic foot ulcers: Focus on the differences between individuals with and without peripheral arterial disease. The EURODIALE study. Diabetologia 51: 747-755.
- Otta S, Debata NK, Swain B (2019) Bacteriological profile of diabetic foot ulcers. Precision Medicine Symposium. Individualized Health 6: 7-11.
- Carvalho CB, Neto RM, Aragoa LP, Oliveira MM, Nogueira MB, et al. (2004) Diabetic foot ulcer infection, bacteriological analysis of 141 patients. Arq Bras Endocrinol Metabol 48: 398-405.
- Ogba OM, Nsan E, Eyam ES (2019) Aerobic bacteria associated with diabetic foot ulcers and their susceptibility pattern. Biomedical Dermatology 3:1.
- Rani V, Nithyalakshmi J (2014) A comparative study of Diabetic and Non-diabetic wound infections with special reference to MRSA and ESBL. Int J Curr Microbiol App Sci 3: 546-554.
- Lipsky BA, Pecoraro RE, Chen MS, Koepsell TD (1987) Factors affecting Staphylococcal colonization among NIDDM outpatients. Diabetes Care 10: 483-486.
- Ramakant P, Verma A, Misra R, Prasad K, Chand G, et al. (2011) Changing microbiological profile of pathogenic bacteria in diabetic foot ulcer. Diabetologia 54: 58-64.