Literature DB >> 33799382

Insight into Kytococcus schroeteri Infection Management: A Case Report and Review.

Shelly Bagelman1, Gunda Zvigule-Neidere2.   

Abstract

BACKGROUND: Kytococcus schroeteri is a member of normal skin microflora, which can cause lethal infections in immunosuppressed hosts. In this review we attempted to draw patterns of its pathogenicity, which seem to vary regarding host immune status and the presence of implantable devices. Evidence suggests this pathogen houses many resistance-forming proteins, which serve to exacerbate the challenge in curing it. Available information on K. schroeteri antibacterial susceptibility is scarce. In this situation, a novel, genome-based antibiotic resistance analysis model, previously suggested by Su et al., could aid clinicians dealing with unknown infections. In this study we merged data from observed antibiotic resistance patterns with resistance data demonstrated by DNA sequences.
METHODS: We reviewed all available articles and reports on K. schroeteri, from peer-reviewed online databases (ClinicalKey, PMC, Scopus and WebOfScience). Information on patients was then subdivided into patient profiles and tabulated independently. We later performed K. schroeteri genome sequence analysis for resistance proteins to understand the trends K. schroeteri exhibits.
RESULTS: K. schroeteri is resistant to beta-lactams, macrolides and clindamycin. It is susceptible to aminoglycosides, tetracyclines and rifampicin. We combined data from the literature review and sequence analysis and found evidence for the existence of PBP, PBP-2A and efflux pumps as likely determinants of K. schroeteri.
CONCLUSIONS: Reviewing the data permits the speculation that baseline immune status plays a role in the outcome of a Kytococcal infection. Nonetheless, our case report demonstrates that the outcome of a lower baseline immunity could still be favorable, possibly using rifampicin in first-line treatment of infection caused by K. schroeteri.

Entities:  

Keywords:  Kytococcus; Schroeteri; antibacterial therapy; antibiotic resistance; resistance

Year:  2021        PMID: 33799382      PMCID: PMC8005950          DOI: 10.3390/idr13010026

Source DB:  PubMed          Journal:  Infect Dis Rep        ISSN: 2036-7430


1. Introduction

The Kytococcus genus was first distinguished from the Micrococcus species in 1995 [1]. It is now considered to belong to the family Dermacoccaceae and order Actinomycetales. Researchers described it as Gram-positive, non-encapsulated, and non-motile bacteria. Kytococci are aerobic, catalase-positive bacteria that form yellow colonies on agar [2]. The genus is now known to include three species, K. schreoteri, K. sedentarius and K. aerolatus, though the taxonomy browser of NCBI reports more unclassified and uncultured variants [3]. K. schroeteri is a natural and common inhabitant of human skin flora. Infections with Kytococcus schroeteri are uncommon (only 20 publications in the last 17 years [4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22]), and since the species itself has only recently been discovered, the information that is now available for physicians remains scarce. Treatment encompasses two main challenges—a difficult identification process and consistent antibiotic resistance. Based on this literature review, it appears that K. schroeteri requires an immunodeficient host or an implanted device to adhere to, or a combination of the two. When antibiotic sensitivity data is lacking, and reports of clinical success stories are limited, whole-genome sequencing for antibiotic susceptibility testing (WGS-AST) is now a powerful alternative [23]. By combining the experience of previously published cases, sequence analysis and the knowledge we have recently gained from successfully treating an infant with Kytococcus sepsis, we now hope to present a clearer approach to treating this rare and sometimes deadly infection. This novel model aims to create effective treatment plans by shifting the order—using bacterial genome sequence data to predict resistance to antimicrobials, rather than using classic antibiotic susceptibility tests.

2. Methods

We performed a literature review based on all available studies and reports on K. schreoteri infection (22 in total), including our own recent experience with this pathogen in the Children’s Clinical University Hospital in Riga, Latvia. Of the identified bibliographic references, only relevant online publications in peer-reviewed journals accessible through ClinicalKey, PubMed, Scopus and Web of Science were retrieved for further analysis. Due to scarce reports, the inclusion criteria for this review were broad and included all existing reports of K. schreoteri infections. All publication dates and geographical locations were included. Both adults and pediatric populations as well as all patient outcomes were included. Exclusion criteria were non-human subjects. Information on patients was subdivided into patient profiles (immunocompromised, orthopedic prosthetics-implanted, pediatric associated with implanted devices) and tabulated independently. References of included publications were manually screened for additional studies. For all case report publications referenced in this review, antibiotic resistance analysis was performed and tabulated (Table 1).
Table 1

Analysis of antibacterial activity.

Literature ReviewCARD Data
Antibiotic GroupResistantSusceptibleNo DataResistance Genes
Beta lactams
Penicillins15 PBP-2, PBP-2A
Cephalosporins10 AIM-1
Carbapenems 7
Macrolides12 10mef(B), oleC, oleB
Aminoglycosides1138
Sulfonamides1120
Fluoroquinolones3613AbaQ, mdtK
Rifampicin 148
Vancomycin 157vanI, vanWI, vanG, vanTG
Clindamycin7114
Daptomycin 319
Linezolid 913
Tetracycline otrA, tetA(58)
Novobiocin novA
K. schreoteri whole genome shotgun sequences from strain H01 (GenBank: VHHR00000000.1) [24,25] and strain UMB1298 (NCBI Reference Sequence: NZ_PKIZ00000000.1) [26] were analyzed with the Comprehensive Antibiotic Resistance Database (CARD) algorithm. The Resistance Gene Identifier was used to predict resistome patterns of K. schreoteri. Parental consent was obtained for the case report, and the Riga Stradins University Ethics Committee reviewed and confirmed the study.

3. Case Report

A nine-month-old infant, recently diagnosed with Acute Myeloid Leukemia (AML) and treated according to the NOPHO-DBH AML-2012 protocol, presented with neutropenic fever. Laboratory tests showed bone marrow aplasia, neutropenia (0.01 × 103/μL) and thrombocytopenia (17 × 103/μL), and she was started on empiric treatment of ceftazidime (50 mg/kg/dose) and amikacin (15 mg/kg). The patient presented signs of sepsis and was admitted to the ICU with a neutrophil count of 0.00 × 103/μL and severe nosocomial rotavirus gastroenteritis, both of which seemed to contribute significantly to the patient’s deteriorating condition. After obtaining results of blood and Port-a-cath cultures, which demonstrated a K. schreoteri infection (using MALDI-TOF MS), ceftazidime was switched to meropenem (10 mg/kg), based on a targeted literature search at the time. Meropenem was substituted for vancomycin (60 mg/kg/day), based on in vitro sensitivity data, though it was difficult to establish whether the bacteria truly are vancomycin-sensitive due to lab limitations. Clinically it seemed that the patient did not respond to vancomycin as expected, supporting the suspicion that the bacteria is not vancomycin susceptible. The patient was transferred from the ICU to the hematooncology ward, where the Port-a-cath was evacuated due to local infiltration. The patient remained febrile, and meropenem was re-administered. Due to persistent neutropenia and a maculopapular rash, amikacin was substituted by rifampicin (20 mg/kg). The rash was suspected to be of fungal origin, though there is data supporting Kytococcus-related maculopapular rashes [7]. Following clinics of cough and desaturation, a lung CT was performed and demonstrated bilateral infiltrate. Voriconazole (3–4 mg/kg) was added to the treatment regimen. Finally, on day 23 the patient was afebrile, and a significant improvement in cell counts was noted.

4. Results

Based on this literature review, K. schreoteri infections appear to manifest in two major forms: bacteremia (Table 2) and implant device-associated (Table 3).
Table 2

Immunosuppressed cases.

CaseAge/SexConditionUnderlying DiseaseImplanted DeviceTherapyOutcome
Mohammedi et al., 2004 [4]71 MPneumonia, bacteremiaAsthma-Ceftriaxone OfloxacinDeceased
Hodiamont et al., 2010 [5]40 MPneumonia, bacteremiaAML-Vancomycin Rifampin GentamicinDeceased
Hodiamont et al., 2010 [5]52 MPneumonia, bacteremiaAMLCVC (Central venous catheter)Vancomycin CeftazidimeDeceased
Blennow et al., 2011 [6]43 FPneumonia, bacteremiaAML-Vancomycin TZP (Piperacillin/tazobactam) Meropenem Linezolid Trimethoprim/sulfamethoxazoleRecovered
Nagler et al., 2011 [7]68 MSkin rash, pneumonia, bacteremiaAML-VancomycinDeceased
Amaraneni et al., 2015 [8]50 MPneumonia, bacteremiaHairy Cell LeukemiaCVCVancomycin TZP LevofloxacinDeceased
DeMartini et al., 2016 [9]17 MBacteremia AKIMyelodysplastic syndrome-Glycopeptide CarbapenemDeceased
Our case9 m FSkin rash, pneumonia, bacteremiaAMLCVCMeropenem Rifampicin VoriconazoleRecovered
Table 3

Endocarditis cases.

CaseAge/SexConditionUnderlying DiseaseImplanted DeviceDefinitive TherapyOutcome
Becker et al., 2003 [2]34 FEndocarditis-Mechanical aortic valveVancomycin Rifampin GentamycinRecovered
Le Brun et al., 2005 [10]73 MEndocarditis -Bioprosthetic aortic valveSurgery Teicoplanin Rifampin GentamycinRecovered
Mnif et al., 2006 [11]49 FEndocarditis -Artificial mitral valveSurgery Rifampin PristinamycinRecovered
Aepinus et al., 2007 [12]38 FEndocarditisDiabetes Mellitus type 1Mechanical aortic valveVancomycin Rifampin Gentamycin LevofloxacinRecovered
Renvoise et al., 2007 [13]70 MEndocarditis -Bioprosthetic aortic valveSurgery Vancomycin GentamycinRecovered
Poyet et al., 2010 [14]72 FEndocarditis -Mechanical aortic valveVancomycin Rifampicin GentamycinRecovered
Yousri et al., 2010 [15]64 MEndocarditis and root abcess-Mechanical aortic valveSurgery Vancomycin Gentamycin RifampinRecovered
Liu et al., 2012 [16]53 MEndocarditis -Bioprosthetic aortic valveDaptomycinRecovered
Table 2 shows that seven of the eight cases of bacteremia and pneumonia were associated with an underlying malignancy. It appears that immune status played a more prominent role than both definitive and empirical treatments in bacteremia cases. The cases that involved an implanted device are subdivided in Table 3, Table 4 and Table 5.
Table 4

Orthopedic cases.

CaseAge/SexConditionUnderlying Disease Implanted DeviceDefinitive TherapyOutcome
Chan et al., 2012 [17]45 MArtificial tissue infection-Silicon tendon graftSurgery Doxycycline Recovered
Jacquier et al., 2012 [18]50 FArtificial discitisDiabetes Mellitus type 2Prosthetic L3-L4 discOfloxacin RifampinRecovered
Shah et al., 2017 [19]80 FOrthopedic implant infectionChronic adrenal insufficiency Intermedullary nail Surgery DaptomycinRecovered
Table 5

Pediatric with implants cases.

CaseAge/SexConditionUnderlying DiseaseImplanted DeviceDefinitive TherapyOutcome
Jourdain et al., 2009 [20]13 m MImplant device infectionHydrocephalus VPS (ventriculoperitoneal shunt)Surgery Vancomycin Meropenem RifampinRecovered
Schaumburg et al., 2013 [21]3.9 FImplant device infectionGanglioma VPSSurgery Cefuroxime GentamycinRecovered
Bayraktar et al., 2018 [22]3 MImplant device infectionCongenital Adrenal HyperplasiaVPS VancomycinDeceased
As shown in Table 3, an artificial valve was implanted (mostly years before infection) in all endocarditis cases. Three of the eight cases underwent surgery for replacement (and if needed, debridement) of the affected valves. All cases recovered. Table 4 demonstrates that among orthopedic-prosthetic adult cases, there were reports of an underlying condition in two of the three cases. Cases underwent surgery and recovered after antimicrobial therapy. All three pediatric cases in Table 5 had an implanted ventriculoperitoneal shunt. Two of the three cases underwent surgery; these were also the cases that recovered. One case was deceased. Comparison of the survival ratios between the two groups suggests that immunosuppression could play a major role in recovery from this infection. Six of eight bacteremia patients died (Table 2), in comparison to one of 14 implant-device patients who died (Table 3, Table 4 and Table 5). However, only two of the eight bacteremia cases received rifampicin, compared to six out of the eight endocarditis patients who received it. Resistance to antibiotics described by case reports is shown in Table 1, though not all case reports described results for all antibiotic groups. K. schreoteri whole genome shotgun sequences from strain H01 (GenBank: VHHR00000000.1) and strain UMB1298 (NCBI Reference Sequence: NZ_PKIZ00000000.1) were analyzed with the CARD algorithm. Both strains had 91 matching Antibiotic Resistance (AMR) genes; however, these were only by loose hits. According to the definition by CARD, these correspond to the criteria of more distant homologs of AMR genes. Both strains showed similarities with several vancomycin resistance gene clusters: vanG (38.25%) and vanTG (27.86%), vanI (23.13%) and vanWI (25.21%), and vanHB (32.46%) and vanXYC (29.94%). K. schroeteri has Penicillin Binding Protein-2 (PBP-2, PBP-2a) (mecA,B,C: 27.39%, 28.45% and 22.81%, respectively), which explains penicillin resistance.

5. Discussion

In 2002, K. schreoteri was described by Becker et al., after culturing the blood of a 34-year-old woman diagnosed with endocarditis [2]. The final identification was attained by determining the 16S rDNA sequence, which was 97.9% similar to that of K. sedentarius (identified previously in 1944, ZoBell and Upham [24]). However, the DNA-DNA hybridization allowed for classification of the newly described bacterium into an independent genospecies, as it did not reach the threshold of delineation to K. sedentarius (45.4%) [2]. There appear to be several issues regarding the correct identification of this pathogen [27]. As they are common skin microflora, the identification of K. schreoteri in culture could be mistaken for mere contamination, and not all automated devices that are currently used in laboratories worldwide consider the Kytococcus species. The common pathway that led to the correct identification of K. schroeteri, undertaken by almost all physicians in the studies presented in this review, consisted of three steps: automated system (VITEK2, BD Phoenix or API), biochemical testing, and sequencing. As Kytococcus is a rarely encountered pathogen, identification is often achieved by using MALDI-TOF MS. At the moment, there is no specialized growth media required, as the bacterium easily grows on blood agar. There is also no standardized disc diffusion data to attain antibiotic susceptibility testing. The strands used for WGS-AST in this review were taken from GenBank and not from our hospital’s laboratory; thus, there are no practical methods that could support the resistance we matched with CARD. K. schreoteri is resistant to penicillin, methicillin, oxacillin, cephalosporins, erythromycin and clindamycin. Resistance to fluoroquinolones (ciprofloxacin, ofloxacin) varies when comparing the data from literature analysis and CARD (Table 1). The resistance to penicillin is well established and consistent across all studies reviewed. The Kytococcal genome houses a number of genes that code for resistance proteins, mainly PBP-2 and PBP-2a, which could explain, with high probability, its resistance to penicillin and methicillin [28]. mef(B) [29]), oleC [30] and oleB [31] matched with 26.3%, 38.5% and 35% similarity to the two strains, respectively. These genes code for ATP-Binding Cassette (ABC) transporters, which function as efflux pumps for macrolide group antibiotics. This supports the data we obtained from the literature review, demonstrating K. schroeteri’s possible resistance mechanism to macrolides. novA, a type III ABC transporter [32], identified on the novobiocin biosynthetic gene cluster, matched by 33.4% with the strains discussed. AbaQ belongs to the Major Facilitator Family (MFC) [33], and mdtK is a part of the subfamily of the multidrug and toxic compound extrusion (MATE)-like proteins [34]. AbaQ and mdtK are transporters, matching with 40.3% and 25.02% similarity to our strains, respectively. The literature review suggests some resistance exists; thus, we would recommend obtaining resistance cutoff points before administration. Data regarding vancomycin are conflicting. Sensitivity analysis from the literature review (Table 1) suggests it is mostly susceptible; however, both K. schroeteri strains demonstrate vancomycin resistance. CARD analysis showed distant homology (loose hits) to several vancomycin resistance genes. Van I gene, which codes for D-Ala--D-Ala ligase, is responsible for the biosynthesis of alternate cell-wall precursors in bacteria that are resistant to vancomycin [35]. vanWI; VanG, which are D-Ala-D-Ala ligase homologs that can synthesize D-Ala-D-Ser, are an alternative substrate for peptidoglycan synthesis, which reduces vancomycin binding affinity [36]. vanTG (a vanT variant) is found in the vanG gene cluster. Combined with our clinical experience, which showed a reduced response to vancomycin, these data raise the question of vancomycin’s place in the treatment regimen and further substantiate the need for sequencing and standardization of Kytococcal resistance data. Though most publications report susceptibility to tetracycline, CARD analysis shows resistance genes. tetAB(48) is an efflux ABC transporter [37] of tetracycline antibiotics. As seen in Table 1, the strains of K. schroeteri described in this review house tetA(58), which matched with 37.5% similarity to the (48) variant. otrA [38] is part of a gene family that functions through ribosomal protection, as tetracyclines inhibit protein synthesis. There was no data on resistance from clinical cases discussed in this review. K. schreoteri’s rpoB gene does not harbor any variant associated with high probability of rifampicin resistance, which coincides with our clinical observation. It is also susceptible to gentamycin, chloramphenicol and daptomycin. Clinical breakpoints are not established yet, and several publications relied on the coagulase-negative Staphylococcus criteria (after obtaining Gram-positive data) to adjust their treatment plan. The overview of Kytococcal resistance patterns allows us to suggest that this pathogen is sensitive to antibacterial agents that target RNA synthesis, DNA synthesis, folic acid synthesis and protein synthesis (30S subunit). K. schreoteri causes a rare opportunistic infection in two major groups of patients: immunocompromised, for whom bacteremia is mostly lethal, and patients after implant surgery (orthopedic or heart valve), who have a significantly lower mortality. In our case report, as well as in almost all cases depicted in Table 2, blood cultures were preformed alongside bronchoalveolar lavages, sputum cultures, skin and soft tissue biopsies and cultures, and shunt and Port-A-Cath tip cultures. In most cases significant colonization was attributed to K. schreoteri, which excludes more common pathogens. We aim to demonstrate that it is K. schroeteri that causes these infections in immunocompromised patients. Most likely, the causative organisms in the cases of endocarditis and neutropenic fever differ; therefore, empiric regimens vary. Both the American Heart Association [39] and the European Society Of Cardiology [40] support triple drug therapy for mechanical or native valve endocarditis, and this combination includes rifampicin. The regimen for treating neutropenic fever, however, is based on the third generation cephalosporins for coverage of Gram-negative pathogens. Both bacteremia cases and endocarditis cases received vancomycin empirically; however, broad-spectrum treatment in bacteremia cases was started as well. K. schreoteri seems to fall between the cracks, usually until sequencing is performed. As for the orthopedic group, empirical data was not specified, nor were any of the cases treated with rifampicin; perhaps it can be assumed that, being limited to skeletal tissue, this infection is less likely to cause systemic manifestations that might deteriorate to death. Currently, there are no standardized sensitivity data for K. schreoteri; in our case, it seems that the administration of rifampicin was the major contributing factor to the recovery of our patient. This assumption is further substantiated by review of the endocarditis cases, demonstrating a higher favorable outcome rate; the endocarditis protocol includes rifampicin as primary, standard therapy. Alongside antibiotic treatment, we highly recommend the immediate removal of all indwelling devices, as in many of the case reports described in this review, they were colonized upon cultivation and are possibly the biggest threat to the spread of this infection, especially in the immunocompromised population. This could have been the reason for the successful outcome of the K. schreoteri infection in those cases. Limitations of this review arise due to lack of available resistance information, due to which we used two published sequences of the bacteria. As the bacterial intraspecies genome varies, the conclusions we present here might not apply broadly. Further research is needed to better establish resistance patterns and set MICs that apply to all antibiotics. Multidrug efflux pumps seem to play a role in this bacterium [41] and could be important leads to establish any definitive data. As long as standardized sensitivity remains in question, we suggest that future healthcare providers who find themselves dealing with this peculiar pathogen take into account patient risk factors such as poor immune status and implant devices (which may serve as vehicles or primary sources for biofilm formation). We believe the early administration of rifampicin might result in a favorable outcome.
  34 in total

1.  A bumpy road to the diagnosis of a Kytococcus schroeteri shunt infection.

Authors:  Frieder Schaumburg; Christian Schmalstieg; Barbara Fiedler; Angela Brentrup; Heymut Omran; Karsten Becker
Journal:  J Med Microbiol       Date:  2012-09-20       Impact factor: 2.472

2.  First Case of Bacteremia Caused by Kytococcus schroeteri in a Child With Congenital Adrenal Hyperplasia.

Authors:  Banu Bayraktar; Nazan Dalgic; Nurcan Duman; Ercüment Petmezci
Journal:  Pediatr Infect Dis J       Date:  2018-12       Impact factor: 2.129

3.  Streptomyces antibioticus contains at least three oleandomycin-resistance determinants, one of which shows similarity with proteins of the ABC-transporter superfamily.

Authors:  A M Rodríguez; C Olano; C Vilches; C Méndez; J A Salas
Journal:  Mol Microbiol       Date:  1993-05       Impact factor: 3.501

4.  Characterization of an oxytetracycline-resistance gene, otrA, of Streptomyces rimosus.

Authors:  D Doyle; K J McDowall; M J Butler; I S Hunter
Journal:  Mol Microbiol       Date:  1991-12       Impact factor: 3.501

5.  First report of chronic implant-related septic arthritis and osteomyelitis due to Kytococcus schroeteri and a review of human K. schroeteri infections.

Authors:  J F W Chan; S S Y Wong; S S M Leung; R Y Y Fan; A H Y Ngan; K K W To; S K P Lau; K-Y Yuen; P C Y Woo
Journal:  Infection       Date:  2012-03-06       Impact factor: 3.553

6.  Kytococcus schroeteri endocarditis.

Authors:  Cécile Le Brun; Julien Bouet; Philippe Gautier; Jean-Loup Avril; Olivier Gaillot
Journal:  Emerg Infect Dis       Date:  2005-01       Impact factor: 6.883

7.  A diverse intrinsic antibiotic resistome from a cave bacterium.

Authors:  Andrew C Pawlowski; Wenliang Wang; Kalinka Koteva; Hazel A Barton; Andrew G McArthur; Gerard D Wright
Journal:  Nat Commun       Date:  2016-12-08       Impact factor: 14.919

Review 8.  Penicillin's Discovery and Antibiotic Resistance: Lessons for the Future?

Authors:  Mariya Lobanovska; Giulia Pilla
Journal:  Yale J Biol Med       Date:  2017-03-29

9.  Postoperative Hardware-Related Infection from Kytococcus schroeteri: Its Association with Prosthetic Material and Hematological Malignancies-A Report of a Case and Review of Existing Literature.

Authors:  Aditya S Shah; Prakhar Vijayvargiya; Sarah Jung; John W Wilson
Journal:  Case Rep Infect Dis       Date:  2019-03-24

Review 10.  Genome-Based Prediction of Bacterial Antibiotic Resistance.

Authors:  Michelle Su; Sarah W Satola; Timothy D Read
Journal:  J Clin Microbiol       Date:  2019-02-27       Impact factor: 5.948

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1.  A case of Kytococcus schroeteri prosthetic valve endocarditis in a patient with COVID-19 infection.

Authors:  Sweta Shah; Pooja Thakkar; Sushima Poojary; Tanu Singhal
Journal:  Indian J Med Microbiol       Date:  2022-09-26       Impact factor: 1.347

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