Get Permission Reddy, Rani, Brungi, and Kogila: Susceptibility analysis of various bacteria towards colistin and other antibiotics in clinical isolates


Introduction

Increased usage of antibiotics has occurred in the last few decades. As a result, there isan increase in antibiotic resistance among gram-negative bacteria due to the genetic modifications and mutations that lead to multi-drug resistant (MDR) bacteria. The degree of drug resistance in a bacterial species is directly proportional to the use of a particular antibiotic in the community.1, 2 This in turn is associated with increased mortality and morbidity.3 In today’s world it is becoming a critical global issue and the World Health Organisation (WHO) predicts that by 2050 antibiotic-resistant microbes may have caused the death of ten million people every year.4, 5 This is a serious threat because it will impair the medical interventions in terms of managing the patient. 5 Thus, the medical world has taken recourse to Colistin and polymixins as a last resort to fight this menace with some success.

Colistin is a cyclic hexapeptide with a tripeptide side chain acylated at the N terminal by a fatty acid which is of two types: Colistin A (Polymyxin E1) and Colistin B (Polymyxin E2). These two drugs react with the cell membrane of Gram negative bacteria by disturbing the calcium and magnesium ion channels6 Both are very potent and are considered as good antibiotics against Multi Drug Resistant gram-negative Bacteria.7, 8 The effectiveness of colistin against bacterial resistant nosocomial infections caused by Pseudomonas and Acinetobacter spp. has been reported earlier6 However due to the increased usage of colisitn in the last couple of decades has resulted in the development of antimicrobial resistance especially in gram-negative bacteria.6 On the other hand, there is little research happening towards the discovery of new antibacterial and this has a major implication towards treating microbial diseases which is throwing the medical world into confusion.9

The frequent mutations which happens in the genetic material of the bacteria are the primary reasons for the antimicrobial resistance developed in bacteria. Most of the strains of Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa are found to have different mechanisms of resistance. 2, 7

The mechanism by which the gram-negative bacteria can develop resistance against colisitn is by mcrgene. It is one such important gene which is present in the bacteria. This gene is rapidly transferred to other bacteria by plasmid mediation leading to the spread of the multidrug-resistant bacteria into the animal and human populations, with resistant bacteria causing major health hazards and almost all bacterial strains have developed this resistance. There are also other mechanisms by which the resistance is attained such as a reduction in the number of receptors on the outer membrane or in the efflux pumps, extended spectrum β lactamases (ESBL), and carbapenemases.10 This has greatly challenged the use of colistin at a global level.

There is also evidence worldwide that reveals the spread of the mcr-1 gene by plasmid transfer to different species and strains of Enterobacteriaceae, including MDR strains.11 Previous reports have shown that the phenotypic and genotypic detection of colistin-resistant E. coli from patients in tertiary care hospital. 12, 13 In addition to this, in Greece, there is an increase of carbapenemases among Enterobacteriaceae to more than 30%.14

There is also detection of colistin-resistant gram-negative bacteria in food, water and animal sources. 14 This indicates the prevalence of colistin-resistant bacteria. Due to antimicrobial resistance, the treatment options for infections caused by multidrug-resistant Gram-negative bacterial strains are limited. This makes it hard to control the possibilities of controlling and treating the spread of hospital contamination. 15

Multiple studies dealt with the prevalence and implications of colistin-resistant gram-negative bacteria in India. 16, 17 However, there are not many studies on the scenario in South India and on which bacterial species in dominant. In this study, we reported the colistin microbial susceptibility against various gram-negative bacterial spp. from clinical isolates in Telangana.

Methods and Materials

Sample collection

This cross-sectional study was ethically approved (SVSMC/IEC-Approval NO-05/2018-625) conducted in intensive care units including PICU, NICU, OBGY, TBCD and other wards of SVS Medical College and Hospital, Mahabubnagar, Telangana during August 2018 to December 2020.This study was carried out on 1852-gram negative bacilli isolated from the bacterial samples obtained from different patients (ICUs). The isolates were collected from clinical microbiology laboratory of our tertiary hospital, all of which were detected Colistin resistance by the MIC studies.

Inclusion criteria

Patients of all age groups (including pediatrics) were included. All the bacterial isolates of Enterobacteriaceae (e.g., Escherichia coli, Enterobacter spp), Pseudomonas aeruginosa were included.

Exclusion criteria

Intrinsically colistin resistant organism including Proteus sps, Providencia spp., Serratia spp and Morganella morgani were excluded.

Bacterial isolates

A total of 1852 consecutive Gram-negative isolates were tested for Colistin susceptibility. All colistin-resistant isolates were processed to detect the Minimum inhibitory concentration (MIC) of antibiotics by the broth micro-dilution method. Interpretation was performed according to the EUCAST breakpoints (www.eucast.org).

Minimum inhibitory concentration (MIC) of colistin

Broth microdilution is considered the reference standard for Polymyxin susceptibility testing. Standard E. coli strain was used as negative control. For the preparation of the antibiotic stock solution, the Colistin drug was obtained in powder form (commercial source with given potency) and stored at 40 C until use. Antibiotic stock solution was prepared based on the requirements.

Inoculum was prepared by making a direct broth suspension of isolated colonies selected from the 24-hour agar plate (blood agar) and adjusting the suspension to achieve a turbidity equivalent to a 0.5 McFarland turbidity standard.

Broth microdilution was done in 96-well microtitre plates, filled with Mueller Hinton II broth (CAMHB, Himedia labs). Serial two fold diluted concentrations of antimicrobial agents and McFarland standard-tested bacteria were added. The plates were incubated at 350C for 24-48 hrs. After incubation bacteria growth was assessed by observing turbidity.

Statistical analysis

Statistical analysis was done using GRAPH PAD PRISM software Ver 6.0 and the data were analyzed by Mean ± Standard Deviation. The relation between two variables was done by Karl Pearson's/Spearmen's correlation test for continuous data and the association between two variables was done by Chi-Square test/Fisher's exact test for categorical data. A P- value less than 0.05 was considered significant.

Results

In the study with Pseudomonas, the p values of susceptibility ranged in most cases between 0.001 to 0.052 showing significant results in the comparison among other antibacterial drugs and Colistin. The colistin is more sensitive to Pseudomonas spp. compared to antibiotics such as PIT, CFS, CPM, IPM, MRP, AK, GEN, CIP, TGC, TRS and DRP (Table 1). In this study, the occurrence of resistance odds ratio of Pseudomonas with carbapenems like DRP and IPM in the presence of colistin is 4.7, 2.9 times more. The presence of colistin with aminoglycosides also shows an odds ratio of more than 3.5. Colistin with cephalosporines (CFS, CPM, CAZ)are 2.2,2.4,2.4 showing that multiple resistance is high. The odds of Pseudomonas 2.6 showing that multiple resistance (colistin and ciprofloxacin) is 2.6 times more. In Pseudomonas, the least odds ratio colistin with Tigecycline is 0.008 which signifies that colistin and tigecycline were both broad-spectrum antibiotics and tigecycline had a good susceptibility.

In the study with E. coli, the p values of susceptibility were significantly more than 0.052 thus showing better results in the comparison among other antibacterial drugs and Colistin. The colsitin is p<0.001 significantly sensitive to E. coli species compared to other antibiotics such as CTR, IPM, TGC and NIT (Table 2). The odds of E. coliare 76.06 showing that multiple resistance for colistin and TGC is 76.0 times more. In E. coli colistin with carbapenems (IPM&MRP) showed an odds ratio of 13.2, and 20.7 respectively. The lowest odds ratio was seen colistin with CTR, CPM, NA, CIP, AK (0.2,0.6,0.3,0.6,0.7).

In the study with Enterobacter spp., the colistinbacterial isolate susceptibility was very less in comparison with other antibacterial drugs and it is resistant against Enterobacter spp. Among the tested clinical isolates, antibiotics such as PIT, CFS, CPM, IPM, MRP, AK, GEN, CIP, CAZ and DRP were less effective against Enterobacterspp (Table 3). In Enterobacter the highest odds ratio was GN and NIT 3.8 and 2.0. The least odds ratio in Enterobactersps is cephalosporines like CFS, CPM with 0.3 and 0.4.

Table 1

Susceptibility analysis of Pseudomonas spp. to colistin and other antibiotics

S.No.

Antibiotic

Antibiotic response

Colistin response

Statistical analysis

Resistant

Sensitive

c2/Fisher test

Odds ratio

Relative risk

1

PIT

Resistant

20

51

c2 = 3.778 P = 0.052

2.147

1.824

Sensitive

19

104

2

CFS

Resistant

27

58

c2 = 5.475 P = 0.019

2.264

1.863

Sensitive

22

107

3

CPM

Resistant

28

57

c2 = 6.816 P = 0.009

2.480

1.992

Sensitive

21

106

4

IPM

Resistant

25

43

c2 = 9.906 P = 0.002

2.980

2.252

Sensitive

24

123

5

MRP

Resistant

19

41

c2 = 3.384 P = 0.066

1.997

1.682

Sensitive

29

125

6

AK

Resistant

30

50

c2 = 14.363 P < 0.001

3.663

2.664

Sensitive

19

116

7

GEN

Resistant

33

56

c2 = 15.759 P < 0.001

3.978

2.874

Sensitive

16

108

8

CIP

Resistant

31

65

c2 = 7.949 P = 0.005

2.676

2.135

Sensitive

18

101

9

TGC

Resistant

38

157

c2 = 16.813 P < 0.001

0.0807

0.260

Sensitive

9

3

10

TRS

Resistant

13

4

P = 0.236

3.250

1.529

Sensitive

6

6

11

DRP

Resistant

21

39

c2 = 14.419 P < 0.001

4.712

3.413

Sensitive

12

105

12

LE

Resistant

27

63

c2 = 4.098 P = 0.043

2.119

1.783

Sensitive

18

89

13

MI

Resistant

9

5

c2 = 0.0211 P = 0.885

1.200

1.071

Sensitive

9

6

[i] N=1852. PIT - Piperacillin/tazobactum; CFS – Cefoperazonesulbactum; CPM – Cefepime; IPM – Imipenem; MRP – Meropenem; AK – Amikacin; GEN – Gentamycin; CIP – Ciprofloxacin; TGC – Tigicycline; TRS - Trimethoprim/ Sulfamethoxazole; DRP - Doroenem; LE – Levofloxacin.

Table 2

Susceptibility analysis of E. coli spp to colistin and other antibiotics

S.No.

Antibiotic

Antibiotic response

Colistin response

Statistical analysis

Resistant

Sensitive

c2/Fisher test

Odds ratio

Relative risk

1

PIT

Resistant

5

124

c2 = 0.0888 P = 0.766

1.458

1.441

Sensitive

6

217

2

CXM

Resistant

9

256

c2 = 0.0821 P = 0.774

2.074

2.038

Sensitive

1

59

3

CXM-A

Resistant

9

266

c2=0.00117 P = 0.973

1.658

1.636

Sensitive

1

49

4

CTR

Resistant

4

229

c2 = 3.622 P = 0.057

0.250

0.263

Sensitive

6

86

5

CFS

Resistant

4

96

c2 = 0.00430 P = 0.948

1.276

1.265

Sensitive

8

245

6

CPM

Resistant

3

112

c2 = 0.0693 P = 0.792

0.679

0.687

Sensitive

9

228

7

ETP

Resistant

2

64

c2 = 0.140 P = 0.708

0.980

0.981

Sensitive

8

251

8

IPM

Resistant

8

57

c2 = 18.641 P < 0.001

13.287

11.774

Sensitive

3

284

9

MRP

Resistant

4

53

c2 = 1.555 P = 0.212

2.717

2.596

Sensitive

8

288

10

AK

Resistant

1

38

c2 = 0.0753 P = 0.784

0.797

0.803

Sensitive

10

303

11

GEN

Resistant

4

85

c2 = 0.103 P = 0.748

1.506

1.483

Sensitive

8

256

12

NA

Resistant

6

270

c2 = 1.233 P = 0.267

0.333

0.348

Sensitive

3

45

13

CIP

Resistant

8

257

c2 = 0.119 P = 0.730

0.654

0.664

Sensitive

4

84

14

TGC

Resistant

7

15

c2 = 68.179 P < 0.001

76.067

52.182

Sensitive

2

326

15

NIT

Resistant

10

66

c2 = 29.535 P < 0.001

-

-

Sensitive

0

249

16

TRS

Resistant

7

171

c2 = 0.0696 P = 0.792

1.392

1.376

Sensitive

5

170

Table 3

Susceptibility analysis of Enterobacters pp. to colistin and other antibiotics

S.No.

Antibiotic

Antibiotic response

Colistin response

Statistical analysis

Resistant

Sensitive

c2/Fisher test

Odds ratio

Relative risk

1

CXM-A

Resistant

7

29

P = 0.508

0.483

0.583

Sensitive

1

2

2

CTR

Resistant

2

10

P = 1.0

0.840

0.867

Sensitive

5

21

3

CFS

Resistant

1

11

P = 0.660

0.351

0.405

Sensitive

7

27

4

CPM

Resistant

1

10

P = 0.658

0.400

0.455

Sensitive

7

28

Sensitive

7

23

5

IPM

Resistant

2

12

P = 1.0

0.694

0.738

Sensitive

6

25

6

GEN

Resistant

2

3

P = 0.203

3.889

2.733

Sensitive

6

35

7

NA

Resistant

2

8

P = 1.0

1.150

1.120

Sensitive

5

23

8

CIP

Resistant

3

11

P = 0.684

1.473

1.371

Sensitive

5

27

9

TGC

Resistant

2

6

P = 0.623

1.667

1.500

Sensitive

6

30

10

NIT

Resistant

6

21

P = 0.648

2.857

2.444

Sensitive

1

10

11

TRS

Resistant

3

25

P = 0.232

0.312

0.386

Sensitive

5

13

[i] N=1852. CXM-A - Cefuroxime Axetil; CTR – Ceftriaxone; CFS – Cefoperazonesulbactum; CPM – Cefepime; IPM – Imipenem; GEN – Gentamycin; NA – Nalidixicacid; CIP – Ciprofloxacin; TGC – Tigicycline; NIT – Nitrofurantoin; TRS - Trimethoprim/ Sulfamethoxazole.

Figure 1

Test for detection of Minimum inhibitory concentration (MIC) of colistin

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/52c9379a-2508-498b-a9f7-b48d654d7449image1.jpeg

Discussion

In the modern past, Antibiotic resistance (AR) has concerned the attention in the clinical field worldwide due to growing health-care costs, morbidity, and mortality due to infectious diseases. The condition is worse in developing countries as evidenced by antibiotic susceptibility reports of bacterial isolates. Although drug resistance is primarily a medical concern, the aspects that impact the spread of resistance are environmental, epidemiological, cultural, communal, andcommercial. In most developing and developed countries antibiotic resistance has become a lesser priority when compared with many other infectious diseases. 18

This precarious scenario has led to the use of good old forms of antibacterials such as Colistin and polymixin B, which have shown some promise in combating these diseases. There fore colistin was supposed to be the ‘last-line’ therapeutic drug against multidrug-resistant Gram-negative pathogens in the 21st century. 19 Colistin has been an important antimicrobial agent against aggressive chronic and nosocomial infections due to multidrug-resistant bacteria, and the clinical need for plasmid-mediated colistin resistance in Enterobacteriaceae medically required its use. 20 With the increasing antibiotic resistance, the post-antibiotic era will be more dreadful than COVID-19 pandemic. Colistin resistance is also emerging, which should be detected by every laboratory so as to slow down the speed. 21 In this study deals with the comparison of the susceptibility of Colistin and other common antibiotics on various gram-negative bacterial species isolated from various clinical samples such as blood, pus, urine, and pleural fluid. The prevalence of pathogens and the antibiotic susceptibility testing reports in this study are in consistent with other studies. Some of the antimicrobial resistance patterns and percentages are universal, while others appear to be unique for specific parts of the geographic region. Colistin in this new generation is a potent antibiotic therapy for life-threatening infections. Since this infection spreads world highly resistant organisms pressure the growing importance of antimicrobial therapy. This study was conducted to determine the present susceptibility profile of different gram-negative bacteria in clinical isolates of Telangana.

Similarly, there are other studies in India of the same nature which also obtained the same results. Mathur et al analyzed 802 isolates of K. pneumonia against colistin, and they found that almost 4% were colisitin-resistant.16 Likewise, Garg et al also analyzed the resistance in different bacterial isolates against colistin and found that 9% exhibited carbapenem resistance. These results are consistent with our findings of colistin resistance in Pseudomonas and E. coli spp. 22

In this study only in Pseudomonas and E. coli spp., thus showed good results upon treatment with other antibacterial drugs and colistin in the comparison among other species especially in BAL, pleural and E.T. These results indicate that most of the bacteria studied indicate they must have developed some degree of resistance, which might have mcrgenetic mechanism to colistin, the treatment strategy should be designed judiciously to get better cure. This report can throw some light on the way bacteria are behaving towards colistinin other rare clinical samples of this region and further study is warranted to encompass more species of bacteria. The Pseudomonas and E. coli species, which indicated more susceptibility also must be studied to understand their genetic structure via mcr gene activity.

Conclusion

This study showed the prevalence of better susceptibility of Colistin against gram-negative bacilli such as Pseudomonas and E. coli spp. In Telangana state and this can give a better cure for nosocomial infections caused in various hospital wards. The other bacteria studied could have developed genetic modification in the form of mcr gene mutation. However a greater number of studies are required to quantify the data upon colistin sensitivity against various other rare clinical samples of microbial species.

Source of Funding

The authors declare that there was no financial aid received.

Conflict of Interest

No conflict of interest associated with this research work.

Acknowledgement

The authors would like to acknowledge the S.V.S Medical College for approving the study design and their constant support throughout study.

References

1 

NL Sherry RS Lee CL Gorrie JC Kwong RL Stuart TM Korman Pilot study of a combined genomic and epidemiologic surveillance program for hospital-acquired multidrug-resistant pathogens across multiple hospital networks in AustraliaInfect Control Hosp Epidemio202142557381

2 

KE Silva L Rossato AF Leite S Simionatto Overview of polymyxin resistance in EnterobacteriaceaeRev Soc Bras Med Trop55e0349-202110.1590/0037-8682-0349-2021

3 

G Feretzakis E Loupelis A Sakagianni K Valakis S Petropoulou E Koutalas A 2-Year Single-Centre Audit on Antibiotic Resistance of Pseudomonas aeruginosa , Acinetobacter baumannii and Klebsiella pneumoniae Strains from an Intensive Care Unit and Other Wards in a General Public Hospital in GreeceAntibiotics (Basel)2019826210.3390/antibiotics8020062

4 

F Desriac AE Harras M Simon A Bondon B Brillet PL Chevalier Alterins Produced by Oyster-Associated Pseudoalteromonas Are Antibacterial Cyclolipopeptides with LPS-Binding ActivityMar Drugs2020181263010.3390/md18120630

5 

S Manandhar RM Zellweger N Maharjan S Dongol KG Prajapati G Thwaites A high prevalence of multi-drug resistant Gram-negative bacilli in a Nepali tertiary care hospital and associated widespread distribution of Extended-Spectrum Beta-Lactamase (ESBL) and carbapenemase-encoding genesAnn Clin Microbiol Antimicrob20201914810.1186/s12941-020-00390-y

6 

MAEG Ahmed LL Zhong C Shen Y Yang Y Doi GB Tian Colistin and its role in the Era of antibiotic resistance: an extended reviewEmerg Microbes Infect20009186885

7 

G Valiakos I Kapna Colistin Resistant mcr Genes Prevalence in Livestock Animals (Swine, Bovine, Poultry) from a Multinational Perspective. A Systematic ReviewVet Sci202181126510.3390/vetsci8110265

8 

Z Wang Y Fu S Schwarz W Yin TR Walsh Y Zhou Genetic environment of colistin resistance genes mcr-1 and mcr-3 in Escherichiacoli from one pig farm in ChinaVet Microbiol2019230566110.1016/j.vetmic.2019.01.011

9 

K Jani V Srivastava P Sharma A Vir A Sharma Easy Access to Antibiotics; Spread of Antimicrobial Resistance and Implementationof One Health Approach in IndiaJ Epidemiol Glob Health202111444452

10 

S Morris E Cerceo Trends , Epidemiology , and Management of Multi-Drug Resistant Gram-Negative Bacterial Infections in the Hospitalized SettingAntibiotics (Basel)20209419610.3390/antibiotics9040196

11 

C Wang Y Feng L Liu L Wei M Kang Z Zong Identification of novel mobile colistin resistance gene mcr-10Emerg Microbes Infect20209150816

12 

Z Ling W Yin Z Shen Y Wang J Shen TR Walsh Epidemiology of mobile colistin resistance genes mcr-1 to mcr-9J Antimicrob Chemother20207511308795

13 

K Saranya Phenotypic and genotypic detection of colistin resistance from clinical isolates of Escherichia coli in a tertiary care hospital - ProQuestJ Pharm Sci Res20201278804

14 

EM Stefaniuk S Tyski Colistin resistance in Enterobacterales strains - A current viewPolish J Microbiol201968441727

15 

J Kai S Wang Recent progress on elucidating the molecular mechanism of plasmid-mediatedcolistin resistance and drug designInt Microbiol202023335566

16 

P Mathur S Khurana JB Tom ND Man O Rastogi B Katoch Multiple importations and transmission of colistin-resistant Klebsiella pneumoniae in a hospital in northern IndiaInfect Control Hosp Epidemiol20194012138793

17 

S Mitra S Basu S Rath SK Sahu Colistin resistance in Gram-negative ocular infections: prevalence, clinical outcome and antibiotic susceptibility patternsInt. Ophthalmol2020405130717

18 

D Ghosh B Veeraraghavan R Elangovan P Vivekanandan Antibiotic Resistance and Epigenetics: More to It than Meets the EyeAntimicrob Agents Chemother202064210.1128/AAC.02225-19

19 

P Mlynarcik M Kolar Molecular mechanisms of polymyxin resistance and detection of mcr genesBiomed Pap Med Fac Univ Palacky Olomouc Czech Repub201916312838

20 

V D'Onofrio R Conzemius D Varda-Brkić M Bogdan A Grisold IC Gyssens Epidemiology of colistin-resistant, carbapenemase-producing Enterobacteriaceae and Acinetobacter baumannii in CroatiaInfect Genet Evol20208110426310.1016/j.meegid.2020.104263

21 

S Chauhan N Kaur AK Saini S Aman J Chauhan H Kumar Colistin Resistant Gram-Negative Bacteria Isolated from Various Clinical Samples in North Indian Tertiary Care CenterIJPQA20221333259

22 

A Garg J Garg S Kumar A Bhattacharya S Agarwal GC Upadhyay Molecular epidemiology & therapeutic options of carbapenem-resistantGram-negative bacteriaIndian J Med Res201914922859



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Received : 20-12-2023

Accepted : 19-01-2024


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https://doi.org/ 10.18231/j.ijmmtd.2023.051


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