03.08.2015 Views

Detection of biofilm formation in urinary isolates: need of the hour

The purpose of the study was to estimate biofilm (BF) formation in urinary catheterized patients, by comparing three methods i.e. Tissue culture plate method (TCP), Congo Red Agar method (CRM) and Tube method (TM) and to study the antimicrobial resistance pattern in BF producing and non BF producing isolates. A total of 130 urinary catheterized patients were taken as the study group. From one milli litre of urine sample isolates > 102 colony forming units per milli litre were screened for the detection of BF by TCP, TM and CRM. Antibiotic sensitivity test for both BF producing and non BF producing bacterial and fungal isolates were done as per CLSI guidelines. From 130 urine samples in our study group, 55 samples grew microorganisms of significance, of which 11 samples were poly-microbial in nature. Of these biofilm production was seen in 49 microorganisms (89.09%) by any of the three methods used. TCP method picked up 69% of biofilm producers as compared to TM and CRM which picked up only 36% and 27% biofilm producers respectively. Our study reveals TCP method as the more dependable one as compared to TM and CRA methods for the quantitative biofilm detection, so it can be recommended as a screening method in laboratories.

The purpose of the study was to estimate biofilm (BF) formation in urinary catheterized patients, by comparing three methods i.e. Tissue culture plate method (TCP), Congo Red Agar method (CRM) and Tube method (TM) and to study the antimicrobial resistance pattern in BF producing and non BF producing isolates. A total of 130 urinary catheterized patients were taken as the study group. From one milli litre of urine sample isolates > 102 colony forming units per milli litre were screened for the detection of BF by TCP, TM and CRM. Antibiotic sensitivity test for both BF producing and non BF producing bacterial and fungal isolates were done as per CLSI guidelines. From 130 urine samples in our study group, 55 samples grew microorganisms of significance, of which 11 samples were poly-microbial in nature. Of these biofilm production was seen in 49 microorganisms (89.09%) by any of the three methods used. TCP method picked up 69% of biofilm producers as compared to TM and CRM which picked up only 36% and 27% biofilm producers respectively. Our study reveals TCP method as the more dependable one as compared to TM and CRA methods for the quantitative biofilm detection, so it can be recommended as a screening method in laboratories.

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Saha et al., 201435984 (strong bi<strong>of</strong>ilm producer), S. epidermidis ATCC35983 (moderate bi<strong>of</strong>ilm producer) and S. epidermidisATCC 12228 (non bi<strong>of</strong>ilm producer), Ac<strong>in</strong>etobacterbaumannii ATCC 19606 and Candida albicans ATCC90028.Bi<strong>of</strong>ilm <strong>formation</strong> was detected by <strong>the</strong> follow<strong>in</strong>gthree methods:-Tissue culture plate method (Christensen et al., 1995):Isolates from freshly subcultured plates were<strong>in</strong>oculated <strong>in</strong> trypticase soy broth (TSB) with 1% w/vglucose and <strong>in</strong>cubated for 18 <strong>hour</strong>s at 37˚C <strong>in</strong> stationaryconditions and <strong>the</strong>n diluted to 1:100 with fresh TSB.Individual wells <strong>of</strong> sterile polystyrene 96 well flatbottom microtitre plates were filled with 200μl aliquots<strong>of</strong> diluted culture. Un-<strong>in</strong>oculated TSB served as a controlto check sterility and non specific b<strong>in</strong>d<strong>in</strong>g <strong>of</strong> media.Control stra<strong>in</strong>s were also <strong>in</strong>oculated <strong>in</strong> triplicate. Themicrotitre plate was <strong>in</strong>cubated for 24 hrs at 37˚C. After<strong>in</strong>cubation contents <strong>of</strong> each well was removed by tapp<strong>in</strong>g<strong>the</strong> plates. After wash<strong>in</strong>g <strong>the</strong> wells for four times with200μl <strong>of</strong> phosphate buffer sal<strong>in</strong>e (PBS pH 7.2), <strong>the</strong>float<strong>in</strong>g planktonic bacteria were removed. The bi<strong>of</strong>ilmsthus formed <strong>in</strong> plates were fixed us<strong>in</strong>g 2% w/v sodiumacetate for 10 m<strong>in</strong>utes and ta<strong>in</strong>ted with 0.1% w/v crystalviolet for 30 m<strong>in</strong>utes. After wash<strong>in</strong>g thoroughly with deionizedwater to remove any excess sta<strong>in</strong>, <strong>the</strong> plates weredried. Micro-ELISA auto-reader at <strong>the</strong> wavelength <strong>of</strong>540 nm was used to measure <strong>the</strong> Optical Density (OD) <strong>of</strong><strong>the</strong> sta<strong>in</strong>ed adherent micro-organisms. The OD 540 value<strong>of</strong> sterile medium, fixative and dye were averaged andsubtracted from all test values. The mean OD 540 valuefrom a control well was deducted from all test OD 540values. These OD 540 values were considered as an <strong>in</strong>dexTable 1. Interpretation <strong>of</strong> bi<strong>of</strong>ilm productionAverage OD valueBi<strong>of</strong>ilm production≤ OD 540C / OD 540C < ~ ≤ 2x OD 540C Non/weak2x OD 540C < ~ ≤ 4x OD 540CModerate> 4x OD 540C Strong<strong>of</strong> bacteria adher<strong>in</strong>g to surface and form<strong>in</strong>g bi<strong>of</strong>ilms.Experiments were performed <strong>in</strong> triplicate. Interpretation<strong>of</strong> bi<strong>of</strong>ilm production was done accord<strong>in</strong>g to <strong>the</strong> criteria<strong>of</strong> Stepanovie et al., (2007). (Table 1)Tube method:A quantitative method was used as described byChristensen et al., (1982). Ten milli litre <strong>of</strong> BHI brothwith 1% w/v glucose was taken <strong>in</strong> test tubes and was<strong>in</strong>oculated with loop full <strong>of</strong> microorganism fromovernight culture plates and <strong>in</strong>cubated at 37˚C for 24 hrs.The tubes were washed with PBS (pH 7.3) afterdecant<strong>in</strong>g <strong>the</strong> culture. The dried tubes were <strong>the</strong>n sta<strong>in</strong>edwith crystal violet (0.1% w/v) for 30 m<strong>in</strong>utes after fix<strong>in</strong>gwith sodium acetate (2% w/v) for 10 m<strong>in</strong>utes. Throughwash<strong>in</strong>g was aga<strong>in</strong> done with de-ionized water to removeexcess sta<strong>in</strong>. Tubes were <strong>the</strong>n kept <strong>in</strong> <strong>in</strong>verted positionfor complete dry<strong>in</strong>g. Bi<strong>of</strong>ilm <strong>formation</strong> was detected by<strong>the</strong> presence <strong>of</strong> visible film on <strong>the</strong> wall and bottom <strong>of</strong> <strong>the</strong>tube. R<strong>in</strong>g <strong>formation</strong> at <strong>the</strong> liquid culture <strong>in</strong>terface wastaken as negative. The amount <strong>of</strong> bi<strong>of</strong>ilm <strong>formation</strong> wasscored accord<strong>in</strong>g to <strong>the</strong> results <strong>of</strong> control stra<strong>in</strong>s andgraded as 0, 1, 2 and 3 denot<strong>in</strong>g absent, weak, moderateand strong bi<strong>of</strong>ilm <strong>formation</strong> respectively. Experimentswere performed <strong>in</strong> triplicate.Congo red agar method (Freeman et al., 1989):Congo red media was prepared as a concentratedaqueous solution <strong>of</strong> 0.8 g/l <strong>of</strong> Congo red and autoclavedseparately from o<strong>the</strong>r medium constituents [bra<strong>in</strong> heart<strong>in</strong>fusion broth (37 g/l), sucrose (50 g/l), agar (10 g/l)];<strong>the</strong>n added when agar gets cooled to 55˚C. The requiredmicrobial stra<strong>in</strong>s were <strong>in</strong>oculated on <strong>the</strong> prepared mediaand <strong>in</strong>cubated aerobically for 24 hrs at 37˚C. Growth <strong>of</strong>black colonies with a dry crystall<strong>in</strong>e consistency wastaken as positive bi<strong>of</strong>ilm production; p<strong>in</strong>k colonies withoccasional darken<strong>in</strong>g at <strong>the</strong> centre <strong>of</strong> <strong>the</strong> colonies werenon bi<strong>of</strong>ilm producers. Black colonies without drycrystall<strong>in</strong>e colonial morphology <strong>in</strong>dicated <strong>in</strong>def<strong>in</strong>iteresults. The experiment was performed <strong>in</strong> triplicate andrepeated for three times.Journal <strong>of</strong> Research <strong>in</strong> Biology (2014) 4(1): 1174-1181 1176


Antimicrobial susceptibility test<strong>in</strong>g was doneon Muller-H<strong>in</strong>ton agar (MHA) for both bi<strong>of</strong>ilmproduc<strong>in</strong>g and non bi<strong>of</strong>ilm produc<strong>in</strong>g bacterial <strong>isolates</strong>by Kirby Bauer disk diffusion method as per Cl<strong>in</strong>ical andLaboratory Standards Institute guidel<strong>in</strong>es (CLSI, 2006).The antibiotic panels used were 25μg Cotrimoxazole,30μg Cefotaxime, 30μg Vancomyc<strong>in</strong>, 300 unitsNitr<strong>of</strong>uranto<strong>in</strong>, 10μg Norfloxac<strong>in</strong>, 120μg High levelgentamic<strong>in</strong>, 30μg Tetracycl<strong>in</strong>e, 30μg Amikac<strong>in</strong>, 10μgGentamic<strong>in</strong>, 10μg Imipenam, 100μg Piperacill<strong>in</strong>; 10μgTazobactam and 300 units Polymyx<strong>in</strong> B . Antibioticsdiscs were procured from HiMedia Laboratories Pvt. Ltd,India.Antifungal susceptibility pr<strong>of</strong>ile <strong>of</strong> BF form<strong>in</strong>gand non bi<strong>of</strong>ilms form<strong>in</strong>g Candida <strong>isolates</strong> was done bydeterm<strong>in</strong><strong>in</strong>g MIC for Amphoteric<strong>in</strong> B, Itraconazole andFluconazole by microdilution method as described byCLSI guidel<strong>in</strong>es (CLSI, 2008). Candida albicans ATCC90028 were used as control.Statistical Analysis:Table 2. Comparison <strong>of</strong> bi<strong>of</strong>ilm production by three methods – TCP, TM and CRMData entered <strong>in</strong> MS Excel and SSPS 17.0 wereused for data analysis. Chi square test was used tocompare proportions between various groups.Sensitivity, Specificity and predictive values werecalculated us<strong>in</strong>g <strong>the</strong> standard formulae.RESULTSAmong 130 ur<strong>in</strong>e samples from our study group,55 samples grew microorganisms <strong>of</strong> significance <strong>of</strong>which 11 samples were polymicrobial <strong>in</strong> nature. Of <strong>the</strong>sebi<strong>of</strong>ilm production was seen <strong>in</strong> 49 microorganisms(89.09%) by any <strong>of</strong> <strong>the</strong> three methods used. All sets <strong>of</strong>polymicrobial organisms were bi<strong>of</strong>ilm producers. Allcomparisons were done keep<strong>in</strong>g TCP as gold standard.The different organism isolated and <strong>the</strong>ir bi<strong>of</strong>ilmproduc<strong>in</strong>g capacity is compared <strong>in</strong> Table 2.Saha et al., 2014Isolate TCP (%) TM (%) CRM (%) No BF producer (%)Gram positive organism n-12 11(91.66) 2(16.66) 2 (16.66) 1 (8.33)Staphylococcus aureus n = 8 7 1 2 1Enterococcus sp n = 4 4 1 0 0Gram negative organism n-37 24(64.86) 17(45.94) 12 (32.43) 4 (10.81)Escherichia coli n = 20 13 11 5 3Klebsiella sp n = 7 4 3 3 1Citobacter sp n = 2 1 0 1 0Proteus sp n = 2 1 1 2 0Ac<strong>in</strong>etobacter sp n = 2 2 1 0 0Pseudomonas sp n = 4 3 1 1 0Candida sp n-6 3 (50) 1(16.66) 1 (16.66) 1 (16.66)Candida albicans n = 2 1 0 0 1Candida tropicalis n = 4 2 1 1 0Total n = 55 38(69.09) 20(36.36) 15 (27.27) 6 (10.90)TCP method picked up 69% (38) <strong>of</strong> bi<strong>of</strong>ilmproducers as compared to TM and CRM which picked uponly 36% (20) and 27% (15) <strong>of</strong> bi<strong>of</strong>ilm producersrespectively. This difference was found to be highlysignificant (x 2 = 17.55, P < 0.001). Table 3 showssensitivity and specificity <strong>of</strong> TM and CRM. By TCPmethod, <strong>the</strong> number <strong>of</strong> strong bi<strong>of</strong>ilm producers were 20Table 3. Diagnostic parameters TM and CRM forBi<strong>of</strong>ilm detectionParameters TM CRMSensitivity 34.21% 21.05%Specificity 58.82% 58.82%Positive Predictive Value 65.00% 53.33%Negative Predictive Value 28.57% 25.00%1177 Journal <strong>of</strong> Research <strong>in</strong> Biology (2014) 4(1): 1174-1181


Saha et al., 2014Table 4. Comparison <strong>of</strong> antimicrobial resistance pattern <strong>of</strong> BF producer withnon BFproducersAntimicrobial agents BF producer (%) Non BF producer (%)Staphylococcus aureus n =8 n= 7 n=1Cotrimoxazole 6(85.71) 1 (100)Cefotaxime 5(71.42) 1 (100)Vancomyc<strong>in</strong> 0 0Nitr<strong>of</strong>uranto<strong>in</strong> 3(42.86) 0Norfloxac<strong>in</strong> 6(85.71) 0Enterococcus n-4 n=4 n = 0Vancomyc<strong>in</strong> 1 (25) -High level Gentamic<strong>in</strong> 4(100) -Nitr<strong>of</strong>uranto<strong>in</strong> 2 (50) -Norfloxac<strong>in</strong> 4(100) -Tetracycl<strong>in</strong>e 4(100) -Gram negative organism n=33 n= 21 n = 12Amikac<strong>in</strong> 15 (71.43) 6 (50)Gentamic<strong>in</strong> 15 (71.43) 6 (50)Cotrimoxazole 18 (85.71) 6 (50)Imipenam 7 (33.33) 1 (8.33)Piperacill<strong>in</strong>-Tazobactam 15 (71.43) 5 (41.67)Norfloxac<strong>in</strong> 17 (80.95) 8 (66.67)Nitr<strong>of</strong>uranto<strong>in</strong> 13 (61.90) 4 (33.33)Pseudomonas n = 5 n = 4 n = 1Amikac<strong>in</strong> 3 (75) 1 (100)Gentamic<strong>in</strong> 3 (75) 1 (100)Imipenam 3 (75) 0Piperacill<strong>in</strong>-Tazobactam 2 (50) 0Polymyx<strong>in</strong> B 0 0Norfloxac<strong>in</strong> 3 (75) 0Candida spp n = 6 n=3 n=3Fluconazole 2 (66.67) 1 (33.33)Itraconazole 3 (100) 2 (66.67)Amphoteric<strong>in</strong> B 0 0and <strong>the</strong> same by TM and CRM was 3 and 14 respectivelyand this difference was found to be highly significant(x 2 = 21.4, P < 0.001, d.f = 2). (Figure1). When degree<strong>of</strong> bi<strong>of</strong>ilm production was compared, TM showed similardetection rate with TCP for moderate bi<strong>of</strong>ilm producers,but <strong>the</strong> same is not true for strong bi<strong>of</strong>ilm producers.This difference was also highly significant.(x 2 = 21.06,P < 0.001, d.f = 1). Figure 2 shows colonies <strong>of</strong> bi<strong>of</strong>ilmand non bi<strong>of</strong>ilm producers on Congo Red medium.The antimicrobial resistance pattern <strong>of</strong> <strong>the</strong>bi<strong>of</strong>ilm produc<strong>in</strong>g <strong>isolates</strong> is given <strong>in</strong> Table 4. Among<strong>the</strong> gram negative organism, <strong>the</strong> resistance was more forbi<strong>of</strong>ilm producers as compared to non bi<strong>of</strong>ilm producershowever it was not significant except for Cotrimoxazole(x 2 = 4.911, P = 0.0266).Bi<strong>of</strong>ilm production has also <strong>in</strong>creasedsignificantly with <strong>the</strong> days <strong>of</strong> ca<strong>the</strong>terization (x 2 = 16.88,P < 0.001) (Figure 3).DISCUSSIONMore than 40% <strong>of</strong> all healthcare associated<strong>in</strong>fections are due to CAUTI. Eradication <strong>of</strong> bi<strong>of</strong>ilmbased ca<strong>the</strong>ter related <strong>in</strong>fection is <strong>of</strong>ten challeng<strong>in</strong>gbecause <strong>the</strong>y exhibit <strong>in</strong>creased resistance to antimicrobial<strong>the</strong>rapies by various mechanisms (Douglas, 2003).Journal <strong>of</strong> Research <strong>in</strong> Biology (2014) 4(1): 1174-1181 1178

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!