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. 2025 Oct 16;13(11):e01750-25. doi: 10.1128/spectrum.01750-25

Comparative analysis of vancomycin-resistant enterococci in colonization and infection—a longitudinal study

Vera Blaschke 1,#, Vera Rauschenberger 1,#, Heike Claus 1, Stefanie Kampmeier 1,2,
Editor: Enea Gino Di Domenico3
PMCID: PMC12584739  PMID: 41099538

ABSTRACT

Vancomycin-resistant Enterococcus faecium (VREfm) carriage in the gastrointestinal tract is a risk factor for the development of an invasive infection. The exact mechanisms underlying the transition from colonization to infection are still unclear. We conducted a longitudinal study, including 54 paired VREfm isolates, consisting of a colonization and a subsequent bloodstream isolate from the same patient. We performed whole-genome sequencing, biofilm formation assays, and spot-on-lawn assays to investigate genotypic and phenotypic characteristics of the isolates. No significant differences in these characteristics between paired colonization and infection isolates were detected. Genotyping revealed that colonization isolates were genetically closely related to their respective infection isolates in 22 of 27 (81%) isolate pairs. Further studies focusing on the interaction between host epithelium and pathogen are needed to gain more insight into the transition from colonization to infection.

IMPORTANCE

Previous studies have primarily focused on patient-related risk factors associated with the development of vancomycin-resistant Enterococcus faecium (VREfm) infection. However, identifying and characterizing the bacterial factors responsible for this transition is crucial, especially given the limited treatment options for VREfm infection. Our analyses revealed no significant differences between colonization and infection isolates, suggesting that host-pathogen interaction may play a more critical role in this progression and should be further investigated. Moreover, our findings highlight the importance of risk assessment and infection prevention measures to prevent VREfm colonization as a critical step in the development of VREfm infection.

KEYWORDS: vancomycin resistance, VRE, intestinal colonization, bloodstream infections

INTRODUCTION

Enterococci are part of the normal human gut microbiota. However, these pathogens can cause severe infections, such as bloodstream infections (BSI), especially in critically ill or immunocompromised patients. In particular, Enterococcus faecium with acquired vancomycin resistance (vancomycin-resistant E. faecium [VREfm]) hampers successful and targeted antibiotic treatment in case of an infection (1). In most patients, VREfm infection is preceded by colonization (2). Risk factors for colonization comprise antibiotic therapy, frequent contact with health care, long-term hospitalization, immunosuppression, and admission to intensive care units (3). Risk factors for VREfm infection comprise previous colonization with VREfm, allogeneic bone marrow transplantation, neutropenia, or central venous catheterization (4). While these host-associated risk factors are well studied, pathogen-associated factors that may trigger VREfm infection in colonized hosts are largely unknown. Chilambi et al. investigated genomic and phenotypic changes in VREfm during intestinal colonization and BSI of immunocompromised pediatric patients in a retrospective cohort study and identified mutations affecting bacterial growth and biofilm formation as crucial for infection development (5). Recently, bacteriocins were identified to play an important role in inter- and intraspecies interactions in enterococci (68). Up to now, data addressing genotypic and phenotypic differences of VREfm originating from colonization and infection in adult patients are scarce. The present retrospective cohort study aims to identify differences in colonization and infection isolates and their interaction to understand the transition leading to human infection.

RESULTS

Patient cohort

The present study comprised a cohort of 27 patients from a tertiary hospital in Germany who had initially been colonized with VREfm and subsequently developed a VREfm BSI (Table 1). The cohort consisted of 20 male (74%) and 7 female (26%) patients, with an age range of 23 to 81 years (median age = 60 years). The interval between rectal colonization and the onset of BSI with VREfm ranged between 5 and 1,836 days (average = 313 days). The majority of patients were diagnosed with an oncological disease (n = 20; 74%), with hematological-oncological disease being the most prevalent (n = 16; 59%). The remaining patients (n = 7; 26%) were diagnosed with other underlying diseases (including hepatitis C [n = 2; 7%], pancreatitis [n = 2; 7%], and peripheral arterial disease [n = 1; 4%]). Four patients (18%) died within 14 days after detection of VREfm in the blood culture, which we defined as a BSI-associated death. No significant differences in patient outcome and presence of virulence factors could be detected regarding biofilm formation or bacteriocin production. Further information regarding the correlation of detected virulence factors and BSI-associated mortality is provided in Table 2.

TABLE 1.

Patient information: age, sex, and underlying diseasea

Patient Age
(years)
Sex Underlying disease Time between colonization and infection (days)
1 55 M Hepatitis C 498
2 67 M Acute myeloid leukemia 1,836
3 60 M Pancreatic cancer 8
4 76 F Neuroendocrine tumor with liver metastases 294
5 81 M No primary disease 8
6 67 M Diffuse large B cell lymphoma 110
7 56 M Angioimmunoblastic T cell lymphoma 16
8 70 M Acute myeloid leukemia 9
9 48 M B cell lymphoma 1,638
10 24 F Diffuse large B cell lymphoma 27
11 59 F Angioimmunologic T-NHL 307
12 23 M Biphenotypic acute leukemia 23
13 73 F Anal cancer 7
14 69 M Diffuse large B cell lymphoma 5
15 36 M Chronic pancreatitis 1,146
16 70 M Post-kidney transplantation 78
17 68 M Peripheral artery disease 9
18 67 M Acute myeloid leukemia 59
19 42 F Pancreatic neuroendocrine tumor 11
20 53 M Nodular lymphocyte-predominant Hodgkin lymphoma 60
21 19 M B cell acute lymphoblastic leukemia 527
22 74 M Rheumatoid arthritis (MTX therapy) 12
23 51 M Angioimmunoblastic T-NHL 560
24 48 F Acute myeloid leukemia 320
25 60 M B cell acute lymphoblastic leukemia 195
26 52 F Acute myeloid leukemia 245
27 63 M Hepatitis C 439
a

Time between colonization and infection.

TABLE 2.

Analyzed virulence factors of colonization (a) and infection (b) isolates and clinical outcome of patients

Patient Isolate Biofilm formation Bacteriocin production BSI-associated mortalitya
1 1a Yes bac43, entA Yes
1b No bac43, entA
2 2a No bac43, entA No
2b No bac43, entA
3 3a No bac43, entA No
3b No bac43, entA
4 4a No bac43, entA, bac51 No
4b No bac43, entA, bac51
5 5a Yes bac43, entA Yes
5b No bac43, entA
6 6a No bac43, entA No
6b No bac43, entA
7 7a No bac43, entA, bac51 No
7b No bac43, entA, bac51
8 8a No bac43, entA, bac51 No
8b No bac43, entA, bac51
9 9a No bac43 No
9b No bac43, entA
10 10a No bac43, entA No
10b No bac43, entA
11 11a No bac43, entA No
11b No bac43, entA, bac51
12 12a No bac43, entA No
12b Yes bac43, entA
13 13a No bac43, entA Yes
13b No bac43, entA
14 14a No bac43, entA, bac51 No
14b No bac43, entA, bac51
15 15a Yes bac43, entA No
15b No bac43, entA, bac51
16 16a No bac43, entA, bac51 No
16b No bac43, entA, bac51
17 17a No bac43, entA No
17b No bac43, entA
18 18a No entA No
18b No entA
19 19a No bac43, entA, bac51 No
19b No bac43, entA, bac51
20 20a No bac43, entA No
20b No bac43, entA
21 21a No bac43, entA, bac51 No
21b No bac43, entA, bac51, bac32
22 22a No bac43, entA, bac51 No
22b No bac43, entA, bac51
23 23a No bac43, entA Yes
23b No bac43, entA, bac51
24 24a No bac43, entA No
24b No bac43, entA
25 25a No bac43, entA No
25b Yes bac43, entA
26 26a No bac43, entA No
26b No entA, bac51
27 27a No bac43, entA No
27b No bac43, entA, bac51
a

Defined as 14 days mortality after positive blood culture sample and clinical signs of infection.

Molecular characteristics of VREfm isolate

A total of 54 clinical isolates were investigated in this study, obtained between 2015 and 2023 from 27 patients. The genome sequencing demonstrated the presence of the vanB gene in all isolates. Multi-locus sequence typing identified four different sequence types (STs), i.e., ST117 (n = 27), ST80 (n = 23), ST2542 (n = 2), and ST2032 (n = 2). All STs belonged to clonal complex 17. In five patients, the ST of the colonizing isolate differed from that of the invasive isolate (pair 11, 15, 23, 26, 27). A summary of the molecular characteristics of the isolates is provided in Table 3. A minimum spanning tree based on the core genome multilocus sequence typing (cgMLST) indicates the allelic distances of the isolates (Fig. 1). Some isolates did not show any differences in the cgMLST analysis.

TABLE 3.

Molecular characteristics, presence (1), and absence (0) of putative virulence factors in colonization and infection VREfm isolate pairsa

Patient Strain Origin MLST ST cgMLST CT IS16-Entfm-hosp acm-Entfm-hosp bepA-Entfm-hosp ccpA-Entls ecbA-Entfm-hosp empA-Entfm-hosp empB-Entfm-hosp empC-Entfm-hosp fms11-Entfm-hosp fms13-Entfm fms14-Entfm-hosp fms15-Entfm-hosp fms16-Entfm-hosp fms17-Entfm-hosp fms19-Entfm-hosp fms20-Entfm-hosp fms21-Entfm-com fnm-Entfm-hosp gls20-Entfm gls33-Entfm glsB-Entfm glsB1-Entfm hylEntfm-Entfm-hosp orf1481-Entfm-hosp ptsD-Entfm-hosp sagA-Entfm-hosp scm-Entfm-com sgrA-Entfm-hosp
1a M5324 Rectal 80 1,724 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
1b M7369 Blood 80 1,724 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
2a M4923 Rectal 117 469 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
2b M12038 Blood 117 469 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1
3a M11253 Rectal 2,032 469 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
3b M11278 Blood 2,032 469 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
4a M10885 Rectal 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
4b M11870 Blood 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
5a M9308 Rectal 117 469 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
5b M9368 Blood 117 469 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
6a M555R0 Rectal 80 1,724 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
6b M5974 Blood 80 1,724 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
7a M705R6 Rectal 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
7b M7132 Blood 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
8a M12355 Rectal 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
8b M12375 Blood 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
9a M3740 Rectal 117 469 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
9b M10251 Blood 117 469 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
10a M11988 Rectal 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
10b M12072 Blood 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
11a M6985 Rectal 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
11b M8421 Blood 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
12a M12188 Rectal 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
12b M12247 Blood 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
13a M9079 Rectal 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
13b M9112 Blood 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
14a M8362 Rectal 2,542 3,108 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
14b M8392 Blood 2,542 3,108 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
15a M3255 Rectal 117 469 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
15b M7568 Blood 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
16a M11222 Rectal 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
16b M11514 Blood 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
17a M8820 Rectal 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
17b M8856 Blood 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
18a M7288 Rectal 117 71 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
18b M7559 Blood 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
19a M6771 Rectal 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
19b M6823 Blood 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
20a M12098 Rectal 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
20b M12270 Blood 117 71 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
21a M8817 Rectal 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
21b M10805 Blood 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
22a M10864 Rectal 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
22b M10900 Blood 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
23a M6479 Rectal 117 71 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
23b M9028 Blood 80 1,065 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
24a M10520 Rectal 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
24b M11630 Blood 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
25a M12731 Rectal 117 71 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
25b M13185 Blood 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
26a M13032 Rectal 117 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
26b M13661 Blood 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
27a M12660 Rectal 80 1,065 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1
27b M13739 Blood 117 8,446 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1
Total 54 49 54 54 54 54 54 54 54 54 54 49 54 54 54 5 5 54 54 54 54 54 54 54 54 54 24 54
a

Entfm, Enterococcus faecium; Entls, Enterococcus lactis; hosp, hospital variant; com, community variant.

Fig 1.

Genetic relatedness diagram depicts connected nodes, either grouped in clusters if genetically related or appearing in singletons if not genetically related.

Minimum spanning tree of VREfm colonization (labeled a) and infection (labeled b) isolates displaying results of the cgMLST analysis. In silico extracted MLST STs are represented by different colors: ST117 (blue), ST80 (green), ST2032 (red), and ST2542 (beige). The number of differing alleles is indicated in black on the connecting lines, which serve to illustrate the genetic similarity between isolates. A close genetic relation is indicated in gray.

A comprehensive analysis of putative virulence markers (PVMs) revealed no disparities between colonization and infection isolates (Table 3). All isolates carried genes involved in adherence (e.g., empA-empC, sgrA, ecbA, fms11, fms13, fms14), biofilm formation, and colonization (hylE and sagA). Genes involved in carbohydrate metabolism, cell growth (e.g., ccpA, orf1481), and phosphotransferase systems (e.g., ptsD, bepA) were also found in all isolates. In contrast to the aforementioned results, scm was only present in approximately half of the colonization and half of the infection isolates (see also Table 3). Scm (second collagen adhesin) plays a role in adhesion and binds collagen type V and fibrinogen.

Bacteriocin screening identified four different bacteriocin-encoding genes in our isolates: bac43, entA, bac51, and bac32. Among these, entA was present in most isolates (98%), followed by bac43 (94%), bac51 (39%), and bac32 (1%). In paired colonization and infection isolates, no differences in bacteriocin-encoding genes were found (Fig. 2B). Of all isolates encoding bac51, 85.7% belonged to ST80/CT1065.

Fig 2.

Heatmap depicts gene presence and bacterial interactions, bar graph compares presensence of four bacteriocins in colonization and infection isolates, and spot assay depicts inhibition zones between paired bacterial cultures on agar plates.

(A) Bacteriocins found in each isolate and results of the spot-on-lawn assay; bacteriocins detected are indicated in green. Colonization isolates are labeled a, infection isolates are labeled b. Observed growth inhibition in the spot-on-lawn assay is represented in black. (B) Percentage of all bacteriocin-encoding genes detected in colonization and infection isolates. (C) Representative image showing growth inhibition of a colonization isolate spotted on its corresponding infection isolate. A clear zone, indicating growth inhibition, was observed when the colonization isolate (26a) was spotted on its corresponding infection isolate (26b) (c). In contrast, spotting the infection isolate onto the colonization isolate resulted in minimal growth of the spot (b). Compared to spotting the colonization isolate onto itself, the spot is markedly reduced (a and d).

Interaction between colonization and infection isolates

In the spot-on-lawn assay, the infection isolates did not show any growth inhibition when they were spotted on their corresponding colonization isolate. Conversely, two colonization isolates inhibited the growth of their corresponding infection isolates (Fig. 2A). In these two cases (pair 23 and 26), the colonization isolate and infection isolate belonged to different STs (ST117/CT71 vs ST80/CT1065) (Fig. 2C). Furthermore, all isolates were spotted on an isolate belonging to ST18 as an internal control (7). Three isolates did not inhibit the growth of the historical ST18 (18a, 18b, 26b).

Biofilm formation

Biofilm formation of all isolates was measured with nine replicates on 3 different days (27 replicates in total). An overall limited ability to form biofilms in 96-well plates was observed. Colonization (normalized OD595 ratio 0.386) and infection (normalized OD595 ratio 0.370) isolates did not differ with respect to biofilm formation (P = 0.77) (Fig. 3). However, three colonization isolates (1a, 5a, 15a) and two infection isolates (12b, 25b) showed proportionally strong biofilm formation. These strains exhibited a deviation from the typical biofilm formation pattern observed in the remaining isolates, indicating potential variations in their capacity to produce biofilms.

Fig 3.

Box plot depicts normalized OD595 ratio comparing colonization and infection isolates of VREfm with data distribution, outliers, and similar biofilm formation levels across both groups.

The boxplot diagram illustrates results of the biofilm formation assay showing the normalized OD595 ratio. No statistically significant difference was detected between the colonization (light blue) and infection (green) isolates of VREfm in terms of biofilm formation. Three colonization and two infection isolates were identified as outliers.

DISCUSSION

Individuals colonized with VREfm are at an increased risk of developing a subsequent VREfm infection. In this study, we aimed to elucidate the pathogenic factors of the isolates that initiate the transition from colonization to infection. We characterized 54 paired colonizing and invasive VREfm isolates and found no significant genetic and phenotypic differences between paired colonization and invasive isolates. This highlights the need for further studies that investigate the role of host factors in the development of BSI.

The present study included 27 VREfm pairs of patients initially colonized with VREfm who subsequently developed a BSI in a tertiary care setting in Germany. The majority of patients in the cohort were diagnosed with an oncological disease, particularly hematological-oncological disease, which has been previously described as a major risk factor for developing a VREfm infection (9). The gender and age distribution of the patients included was consistent with that of previous meta-analyses (10), showing a higher prevalence of VREfm BSI in males (11). Regarding ST distribution, ST117 and ST80 were identified as the predominant STs in our isolate collection, and all strains were vanB positive. This result is in line with data from the German National Reference Center for Staphylococci and Enterococci (NRC), which registered a shift from vanA to vanB in 2016 (12). Furthermore, data from the NRC and other studies confirm the predominance of the aforementioned STs not only in Germany but also worldwide (1316). These STs have also been associated with a higher incidence of VREfm BSI, explaining the incidence of these STs in our cohort (11).

In recent years, several PVMs have been identified in Enterococcus faecium (17, 18). Previous studies have shown an enrichment of PVMs in hospital-adapted E. faecium strains, suggesting survival advantages in the hospital environment (6). We observed no differences in the number or type of PVMs between colonization and infection isolates and therefore conclude that VREfm does not acquire PVMs during colonization.

In addition to genomic analyses of the isolates, we investigated their ability to form biofilms. Our isolates produced only weak biofilms, which matched the results of previous studies (5, 19). Using RNAseq, Stege et al., however, observed, at a transcriptional level, an upregulation of genes related to biofilm and pili formation when VREfm were co-cultured with human-derived colonic epithelium (20). These findings highlight the importance of further investigation of pathogen-specific factors in the context of host-pathogen interactions.

In the spot-on-lawn assay, coexistence of colonization and infection strains was observed. Although infection isolates did not show direct inhibitory effects on the growth of colonization isolates, interspecific competition mediated by bacteriocins may nonetheless be an important factor contributing to the infection process. Ubeda et al. showed that an overgrowth of VREfm in the gastrointestinal tract leads to infection in an animal model (21). Thus, bacteriocins could help dominate other bacterial species in the gut, leading to subsequent infection. In our isolate collection, we identified enterocin A and bacteriocin 43 as the most prevalent bacteriocins. While most of our isolates inhibited the growth of historical ST18 VREfm, those isolates that did not carry bac43 (18a, 18b, 26b) did not inhibit the growth of ST18 VREfm. These results confirm earlier findings that bacteriocin 43, also known as bacteriocin T8, is the main driver of the global dominance of ST117 and ST80 (7, 8). In the two cases (pair 23 and 26), when the colonization isolate (ST117) inhibited the growth of the corresponding infection isolate (ST80), the isolates belonged to different STs. In pair 26, the observed growth inhibition can be explained by the absence of bac43 in the infection isolate (26b). In pair 23, bac43 was detected in both the colonization and the infection isolate. This observation raises the question of whether another factor besides bacteriocin 43 could be important in growth inhibition.

Despite the strengths of this study, there are several limitations that need to be acknowledged. As only first colonization and first BSI VREfm isolates were investigated, the message of the current study might be limited. Furthermore, time points between first detection of VREfm colonization and the development of an infection were highly variable. Despite this, in the interval between rectal detection and the onset of infection, paired isolates displayed no phenotypic or genotypic variations, indicating that the within-host evolution is not a critical factor for the development of VREfm BSI.

In summary, our study revealed only minor differences at the genomic and phenotypic level between colonizing and infecting isolates. This suggests that the initial clone that colonizes a patient subsequently causes infection without acquiring virulence during colonization. Therefore, other factors, such as the intestinal barrier and the interaction of host and pathogen, should be investigated to shed light on the transition from colonization to BSI of VREfm. The fact that oncology and hematology-oncology patients are often treated with chemotherapy, resulting in a barrier breach, highlights the importance of investigating how VREfm crosses the gastrointestinal barrier. We also recommend that infection prevention measures should be implemented to prevent VREfm colonization in at-risk patients, while minimizing the risk of developing an infection. In addition, in the absence of decolonization strategies, risk assessment should be introduced to help identify patients at risk of developing VREfm BSI.

MATERIALS AND METHODS

Bacterial strain collection

In this study, 54 paired VREfm isolates were included, obtained between 2015 and 2023 at a tertiary hospital in Germany. One pair consisted of a rectal isolate and a subsequent BSI isolate from the same patient.

Study design

The 1,438-bed University Hospital Würzburg is a tertiary care center admitting approximately 60,000 patients per year. According to national guidelines (22), weekly and admission VREfm screening of patients is performed on defined high-risk wards, namely on hematology-oncology, intermediate care, and intensive care units. In case of VRE detection during screening, basic hygiene measures are proceeded with, while contact precautions or isolation strategies are not implemented in single cases. In case of epidemiological connected cluster settings, outbreak management and bundle strategies are implemented, including intensified surface disinfection, contact precautions, and patient isolation.

Microbiological culturing, antibiotic susceptibility testing

Rectal swabs or positive blood cultures were plated on blood agar plates and incubated for 24 h at 36°C. Species were differentiated by VitekMS (bioMérieux, Marcy l'Etoile, France). Susceptibility testing with Vitek2 (bioMérieux) or by using agar gradient diffusion (Liofilchem, Roseto degli Abruzzi, Italy) was interpreted according to breakpoints of the European Committee on Antimicrobial Susceptibility Testing.

Whole-genome sequencing-based typing and virulence factor analysis

Isolated VREfm were subjected to whole genome sequencing using the Illumina NextSeq 2000 platform (Illumina Inc., San Diego, CA, USA). After de novo assembly using Velvet (23), SeqSphere+ software version 10.0.5 (Ridom, Münster, Germany) was used for a comparison of coding regions in a gene-by-gene approach using the previously published cgMLST target scheme for E. faecium (24). Single nucleotide variant analysis of sequenced strains was performed using the same software. To display the genetic relationship of genotypes, the minimum spanning tree algorithm was applied (Fig. 1; Fig. S1), while isolates differing in three cgMLST target genes or less were defined as closely related (Fig. 1). MLST STs as well as cgMLST complex types were extracted from whole-genome sequencing data in silico. PVMs were identified using the VirulenceFinder of the Center for Genomic Epidemiology with a selected threshold of >98% (25, 26). To screen for bacteriocin-encoding genes, a recently published database with a selected threshold of >80% and >60% coverage was used in CGE MyDbFinder (27).

Biofilm formation assay

The capacity of the clinical isolates to form biofilms on abiotic surfaces was evaluated using the semi-quantitative assay previously described (19). In brief, an overnight culture of VREfm in tryptic soy broth (TSB; Becton Dickinson, Heidelberg, Germany) was prepared, the OD600 was adjusted to 0.35, and subsequently diluted 1:10 with TSB. These suspensions were loaded into a 96-well plate (cell culture plate, 96-well, polystyrene, Sarstedt, Nümbrecht, Germany) at a final volume of 200 µL and incubated for 48 hours at 36°C under static conditions. The supernatant was discarded, and the plates were washed three times with 200 µL PBS. Plates were heat-fixed at 56°C for 1 hour and stained for 5 minutes with 1% crystal violet. After staining, plates were rinsed with deionized water, dried, and crystal violet was dissolved in 200  µL of a 20:80 acetone/ethanol mixture. OD595 was measured spectroscopically (Thermo Scientific Multiskan EX, Thermo Fisher Scientific, Waltham, MA, USA). E. faecalis ATCC 29212 was used as a positive control.

Spot-on-lawn assay

To better understand the interaction between colonization and infection isolates, a spot-on-lawn assay was performed. Overnight cultures of colonization isolates in brain heart infusion (BHI; Becton Dickinson, Heidelberg, Germany) were adjusted to OD600 = 0.05. One hundred microliters of the previously prepared suspension was added to 5 mL of liquefied 0.7% BHI agar, mixed, and poured on 1.5% BHI agar. Five microliters of the overnight culture of the corresponding infection isolates was spotted onto the lawn and vice versa. The plates were then incubated for 18–24 hours at 36°C. The sample was considered positive if the zone of inhibition was >1 mm. A historical VREfm (MLST ST18) was used as a control strain (7).

Computational and statistical analysis

For biofilm formation assays, on each measurement day, three 96-well plates were identically prepared with three technical replicates, including negative (blank) and positive control. The OD595 measurements of biofilm formation were averaged per sample, and the average negative control (blank) value was subtracted. The resulting values were normalized by dividing by the average positive control value to control for daily variations in biofilm formation. Finally, the normalized OD595 ratios of each sample were averaged across the well plates. This was done for each measurement day, and the resulting three OD595 measurements were again averaged across measurement days. A paired two-tailed t-test was performed to test for statistical significance using R Studio (R version 4.4.2) (The R Foundation, Vienna, Austria). For association analysis of virulence factors with clinical outcome, Fisher’s exact test was performed. Statistical significance was assumed at P < 0.05.

ACKNOWLEDGMENTS

We thank the team of the Institute for Hygiene and Microbiology, especially Alexandra Prappacher, for excellent technical assistance.

The project was conceptualized by S.K. S.K. developed the methodology. V.B., V.R., and H.C. conducted the investigations. V.B., V.R., H.C., and S.K. contributed to the data analysis and interpretation. The original draft was written by V.B. and V.R. and revised by S.K. S.K. provided the required resources. Supervision and project administration were carried out by S.K. All authors reviewed and approved the final version of the manuscript.

Contributor Information

Stefanie Kampmeier, Email: Stefanie.Kampmeier@uni-wuerzburg.de.

Enea Gino Di Domenico, Istituto Dermatologico San Gallicano, Rome, Italy.

DATA AVAILABILITY

Whole genome sequencing data of analyzed VRE genomes were submitted to the NCBI database (PRJNA1262308).

ETHICS APPROVAL

All strategies and investigations were performed in accordance with the recommendations for prevention of infections with multi-drug resistant enterococci of the legally assigned institute for infection control and prevention (Robert Koch Institute). Patient information gathered retrospectively were fully anonymized before publication, which was waived by the Institutional Review Board of the University of Würzburg (approval number: 20231107 02).

SUPPLEMENTAL MATERIAL

The following material is available online at https://doi.org/10.1128/spectrum.01750-25.

Figure S1. spectrum.01750-25-s0001.pdf.

Minimum spanning tree of VREfm colonization and infection isolates.

DOI: 10.1128/spectrum.01750-25.SuF1
Table S1. spectrum.01750-25-s0002.docx.

Genomic analysis metrics.

DOI: 10.1128/spectrum.01750-25.SuF2

ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1. spectrum.01750-25-s0001.pdf.

Minimum spanning tree of VREfm colonization and infection isolates.

DOI: 10.1128/spectrum.01750-25.SuF1
Table S1. spectrum.01750-25-s0002.docx.

Genomic analysis metrics.

DOI: 10.1128/spectrum.01750-25.SuF2

Data Availability Statement

Whole genome sequencing data of analyzed VRE genomes were submitted to the NCBI database (PRJNA1262308).


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