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. 2026 Jul 10;16:21635. doi: 10.1038/s41598-026-59824-w

Exploratory analysis of biofilm formation and virulence gene expression in Acinetobacter baumannii–Candida albicans co-cultured isolates from urinary tract infections

Bassant Hossam 1, Refaat M Gabre 1,✉, Dina Amr 1, Hazem H Saleh 2
PMCID: PMC13354557  PMID: 42431945

Abstract

Polymicrobial infections with Acinetobacter baumannii (A. baumannii) and Candida albicans (C. albicans) are increasingly frequent in urinary tract infections (UTIs). However, experimental data describing their interactions in clinical isolates under co-culture conditions remain limited. In this study, three clinical isolates of both A. baumannii and C. albicans were co-isolated from urine samples with UTIs, then mono-cultured and co-cultured at 24, 48, and 72 h for biofilm quantification by crystal violet assay. The expression levels of bacterial (ompA, bap, abaI) and fungal (ALS3, HWP1, ERG11) virulence genes were evaluated by RT-qPCR at 24 and 48 h. Co-culture conditions resulted in increased biofilm biomass compared to monoculture for the tested isolates. In A. baumannii, the virulence genes of bap, abaI, and ompA showed statistically significant increase in expression in co-culture compared to mono-culture after 24 h. In C. albicans, HWP1 is the only virulence gene that shows a statistically significant increase in expression in co-culture compared to monoculture after 48 h. Gene expression patterns varied in patient isolates, suggesting strain heterogeneity. This is an exploratory study that provides evidence of changes in biofilm formation and virulence gene expression in co-culture conditions among clinical isolates of A. baumannii and C. albicans. These findings suggest potential for microbial interactions under polymicrobial conditions, which might affect the diagnosis and treatment of patients with UTIs. Future studies with a larger number of isolates and functional assays are required to clarify the mechanistic regulation and biological relevance of these observations in UTIs.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-026-59824-w.

Keywords: Acinetobacter baumannii, Candida albicans, Co-culture, Biofilm formation, Virulence genes, Antimicrobial resistance

Subject terms: Diseases, Microbiology

Introduction

Microbes in the human body are widely recognised to form complex polymicrobial communities. These communities also apply to most chronic infections, including abscesses, chronic wounds, periodontitis, actinomycosis, pneumonia, and cystic fibrosis, where microbe–microbe interactions increase disease severity1. Microbes utilise a wide range of strategies in complex biofilms to shift the balance from colonisation to infection of the host via mechanisms such as cooperation, immune modulation, and cross-feeding2. Urinary tract infections (UTIs) are one of the most prevalent infections in humans, affecting about 150 million people annually3. Around 60% of women experience UTIs at least once, and 20–30% face recurrence within six months4. Antibiotic resistance increases significantly in polymicrobial UTIs, leading to treatment challenges3. Multiple studies have demonstrated the presence of identical microorganisms in polymicrobial bloodstream and urinary infections5–7. Moreover, polymicrobial UTIs are more common among compromised patients. These polymicrobial UTIs are commonly due to uropathogenic bacteria, such as multi-drug resistant (MDR) Acinetobacter baumannii, Klebsiella, Enterococcus, Escherichia coli, and Staphylococcus8. Urogenital infections are also caused by parasites such as Schistosoma haematobium and fungi such as Candida species9. C. albicans is the most significant opportunistic fungus leading to nosocomial UTIs10. Among Gram-negative bacteria, Acinetobacter spp. are identified in 2–61% of nosocomial UTI cases11, often associated with urinary catheters and nephrostomy tubes in intensive care unit (ICU) patients, where 17.1% of urinary isolates are A. baumannii12,13. The clinical significance and epidemiology of polymicrobial infections in urine cultures remain challenging, especially in catheterised patients, with higher mortality rates in polymicrobial than monomicrobial UTI cases14. In the ICU, A. baumannii often coexists with C. albicans in the hospital environment15,16. In A. baumannii, biofilm formation and pathogenicity are associated with several virulence-related genes and their corresponding protein products. The ompA gene encodes outer membrane protein A (OmpA), which contributes to adhesion to host cells and abiotic surfaces. The bap gene encodes biofilm-associated protein (Bap), which is involved in biofilm maturation and structural stability. In addition, abaI encodes a quorum-sensing synthase (AbaI), which is involved in the synthesis of acyl-homoserine lactone signalling molecules associated with cell–cell communication and regulation of biofilm architecture17–19. The ALS3 gene encodes Als3, a hypha-associated adhesin involved in epithelial adhesion and invasion, whereas the HWP1 gene encodes Hwp1, a hyphal wall protein important for stable attachment and biofilm development. In addition, the ERG11 gene encodes lanosterol 14-α-demethylase (Erg11), an enzyme involved in ergosterol biosynthesis and a major target of azole antifungal agents. Alterations in ERG11 expression have been associated with reduced azole susceptibility and biofilm resilience20–23. Therefore, the relative expression levels of these genes were evaluated in the present study using RT-qPCR to investigate virulence and biofilm-associated responses during the interaction between A. baumannii and C. albicans under co-culture conditions.

Materials and methods

In vitro analysis of co-culture between A. baumannii and C. Albicans

Sample collection and isolation

During December 2024 and March 2025, three pairs of clinical isolates of A. baumannii and C. albicans were co-isolated from urine samples obtained from three independent UTI patients at the Urology and Nephrology Centre (UNC), Mansoura University Hospitals, Dakahlia governorate, Egypt. In the present study, each A. baumannii isolate and its corresponding C. albicans isolate were obtained from the same UTI patient sample. The research proposal was approved by the Medical Research Ethics Committee Institutional Review Board at the Mansoura Faculty of Medicine, Mansoura University (Code Number: MS.25.11.3375). All methods were performed in accordance with the relevant guidelines and regulations. Urine specimens were cultured on CLED agar and blood agar (Oxoid Ltd., Basingstoke, UK) to recover Gram-negative bacteria and on Sabouraud dextrose agar (SDA) (Oxoid Ltd., Basingstoke, UK) to isolate C. albicans. For confirmatory identification and antimicrobial susceptibility testing, isolates were processed using the VITEK 2 compact system (bioMérieux, France) with the GN ID and AST card (GN73) for the Gram-negative bacteria and the YST ID and AST card (Y508) for yeast, following the manufacturer’s instructions24.

Culture and experimental conditions

Before each experiment, the C. albicans isolates were cultured at 37 °C for 48 h on Sabouraud dextrose agar, while A. baumannii was sub-cultured at 37 °C for 24 h on tryptic soy agar (TSA) (Oxoid Ltd., Basingstoke, UK). Each strain was then inoculated into 5 ml of tryptic soy broth (TSB) (Oxoid Ltd., Basingstoke, UK) and incubated aerobically at 37 °C for 24 h. Microbial suspensions were adjusted for turbidity to a McFarland 1.0 standard25.

Biofilm cultivation

Biofilms were grown in 96-well polystyrene flat-bottom microtiter plates (Nest Biotechnology Co., Ltd., Wuxi, China). For each isolate, three microplates were prepared, each incubated for 24, 48, or 72 h at 37 °C. TSB was selected as the culture medium in this study due to its non-selective composition. Moreover, several studies examining dual-species biofilms, including S. aureus and C. albicans, have successfully employed TSB as a standard medium to support reproducible biofilm development26,27. Each condition was tested in technical quadruples (n = 4 wells) per isolate: (i) control medium (150 µL TSB), (ii) single-species suspensions (150 µL of either C. albicans or A. baumannii), or (iii) mixed-species suspensions (75 µL of C. albicans plus 75 µL of A. baumannii, total 150 µL). Two additional wells were prepared for RNA extraction and RT-qPCR. Microtiter plates were incubated under static conditions without medium replacement and were covered to minimise evaporation. After incubation, biofilm biomass was quantified using the crystal violet (CV) assay28.

Crystal violet assay

The supernatant broth was aspirated, and biofilms were washed once with 150 µL of 1 × phosphate-buffered saline (PBS, pH 7.2). Then, they were air-dried and stained with 150 µL of 0.1% (w/v) CV (BDH Chemicals Ltd., Poole, UK) for 15 min. Excess CV was removed, and the remaining CV was rinsed twice with 150 µL of 1 × PBS. Fixation was done with 150 µL of 95% absolute ethanol (Merck KGaA, Darmstadt, Germany). Absorbance was read at 620 nm using an ELISA reader (Tecan Group Ltd., Männedorf, Switzerland).

Primer design, RNA isolation, and qPCR

Primer design: Gene targets and primer sequences used in this study are listed in Table 1. Housekeeping genes used for normalisation were 16S rRNA for A. baumannii and ACT1 for C. albicans. NCBI Primer-BLAST was used to evaluate the specificity of housekeeping gene primer sequences in silico29. The 16S rRNA primer was tested against the A. baumannii ATCC 19,606 reference sequence (NR_119358.1), while the ACT1 primer was tested against the C. albicans reference strain CBS 562 NT (AJ389057.1). Primer pairs showed specificity for the intended targets in both species. In addition, no other targets were detected when databases were restricted to the respective species. Amplification efficiency was also verified for each primer pair by melting curve analysis, as shown in the supplementary material. RNA isolation: Biofilms of C. albicans, A. baumannii, and their co-culture were scraped from the wells using a sterile pipette tip, and total RNA, including small RNAs, was extracted using the miRNeasy Mini Kit (Cat. No. 217004; Qiagen GmbH, Hilden, Germany), following the manufacturer’s protocol optimised for fungal and bacterial samples30. RNA concentration and purity were assessed using a NanoDrop spectrophotometer (NanoPhotometer N60 Touch, IMPLEN GmbH, Munich, Germany). Samples with a 260/280 ratio of 1.9–2.1 were used for further analyses. cDNA synthesis: 500 ng of total RNA from each sample was reverse-transcribed using RScript Reverse Transcriptase (Bio-Helix, Taiwan) according to the manufacturer’s instructions. RT-qPCR: Quantitative real-time PCR was performed in technical duplicates using PanGreen Universal SYBR Green Master Mix (Bio-Helix, Taiwan) on a CFX96™ Real-Time PCR Detection System (Bio-Rad Laboratories, Hercules, CA, USA). Each qPCR reaction was performed in a final volume of 20 µL containing 10 µL SYBR Green Master Mix, 0.5 µM of each primer, and cDNA template. The thermal profile was adjusted at the following temperatures: (i) initial activation (5 min at 95 °C), (ii) denaturation (45 cycles of 95 °C for 10 s), (iii) annealing (15 s). RT-qPCR analysis was performed using co-isolates of A. baumannii and C. albicans. For each sample, reactions were run in technical duplicate to ensure measurement consistency. Mean Ct values of technical replicates were calculated and used for downstream relative expression analysis. Statistical comparisons were performed using biological replicates (n = 3 per condition), which were treated as three independent data points. No-template and no-RT controls were included.

Table 1.

Primer sequences used for qPCR analysis of virulence and housekeeping genes in A. baumannii and C. albicans.

Target gene Primer sequence (5′ → 3′) Product size (bp) Tm (°C ) References
A. baumannii bap

F: AATGCACGGTACTTGATCC

R: TATTGC CTCAGGGT CAGTT

205 51 31
ompA

F: ATGAAAAAGACAGCTAT CGC GATTGCA

R: CACCAAAAGCAC CAGCGCCCAGTTG

136 55
abaI

F: AATGCCTAT TCCCT GCT CAC

R: ATTGCTT CTTGCAGAATTGC

132 48
16S rRNA

F: ACTCCTACGGGAGGCAGCAGT

R: TAT TACCG CGGCTGCT GGC

198 58
C. albicans HWP1

F: CAGCCACTGAAACACCAACT

R: CAGAAGTAACAACAACACCAG

153 50 32
ERG11

F: ATTGTTGAAACTGTCATTG

R: CCCTTAATATATACTGATCTG

185 41
ALS3

F: CTAATGCTGCTACGTATAATT

R: CCTGAAATTGACATGTAGCA

201 43
ACT1

F: AGCCCAATCCAAAAGGAGTATT

R: GCTTCGGTCAAACAAACTGG

153 50

Statistical analysis

Biofilm biomass data from the crystal violet assay were analysed using the microtiter plate assay method33. The cut-off OD (ODc) was calculated as ODc = mean OD of the negative control + (3 × SD), yielding 0.0786; isolates were categorised as non-weak, moderate, or strong biofilm formers accordingly. For each isolate and condition, measurements were performed in quadruplicate technical wells, and the results were averaged before analysis. Statistical analyses were performed using GraphPad Prism 10.5.0 (GraphPad Software, San Diego, CA, USA). Data normality was assessed using the Shapiro–Wilk test. Differences in biofilm biomass were evaluated using one-way ANOVA with Šídák’s post-hoc test, with results interpreted in an exploratory context. Šídák’s multiple comparison test was used for pairwise comparisons between groups, while Dunnett’s test was applied for comparisons against a single reference condition (24 h) in time-course analyses. For RT-qPCR, reactions were run in technical duplicates and averaged before analysis. Statistical comparisons were performed on ΔCt values using paired t-tests, while relative expression levels were calculated using the 2^ − ΔΔCt method for visualisation purposes only34. Results are presented as mean ± SD of biological replicates, with p < 0.05 considered statistically significant at a 95% confidence level.

Results

VITEK-2 antimicrobial susceptibility testing

Antimicrobial susceptibility testing was performed using the VITEK-2 system (bioMérieux, France) for the isolates of C. albicans and A. baumannii. C. albicans isolates were susceptible to all antifungal agents tested. MIC values were within the susceptible range (Table 2). On the other hand, isolates of A. baumannii displayed extensive drug resistance (XDR), with resistance detected against all antimicrobial classes tested, and interpretation was based on Clinical and Laboratory Standards Institute (CLSI) 31st edition, 2021 guidelines35 (Table 3).

Table 2.

Antifungal susceptibility profile of C. albicans by the VITEK-2 system.

Antifungal agent MIC (µg/mL) Interpretation
Voriconazole ≤ 0.12 S
Fluconazole ≤ 0.5 S
Micafungin ≤ 0.06 S
Caspofungin ≤ 0.12 S
Amphotericin B 1 S
Flucytosine ≤ 1 S

Antifungal classes: Voriconazole and fluconazole (triazoles); micafungin and caspofungin (echinocandins); amphotericin B (polyene); flucytosine (pyrimidine analogue). Interpretation: S: Susceptible; MIC: Minimum Inhibitory Concentration.

Table 3.

Antimicrobial susceptibility profile of A. baumannii by the VITEK-2 system.

Antimicrobial agent MIC (µg/mL) Interpretation
Ampicillin/Sulbactam ≥ 32 R
Piperacillin/Tazobactam ≥ 128 R
Cefazolin† ≥ 16 R
Ceftazidime ≥ 32 R
Ceftriaxone† ≥ 64 R
Cefepime ≥ 64 R
Meropenem ≥ 16 R
Gentamicin ≥ 16 R
Tobramycin ≥ 16 R
Ciprofloxacin ≥ 4 R
Levofloxacin ≥ 4 R

Antibiotic classes: Ampicillin/sulbactam and piperacillin/tazobactam (β-lactam/β-lactamase inhibitors); cefazolin, ceftazidime, ceftriaxone, cefepime (cephalosporins); meropenem (carbapenem); gentamicin and tobramycin (aminoglycosides); ciprofloxacin and levofloxacin (fluoroquinolones). Interpretation: R: Resistant; MIC: Minimum inhibitory concentration.

Biofilm quantification assay

The difference in biofilm biomass between co-culture and mono-culture

Crystal violet staining revealed that all tested isolates formed biofilms at 24 h, with marked differences among groups (Fig. 1A). The mean biofilm biomass (OD620 nm ± SD) was 0.9661 ± 0.0666 for A. baumannii, 1.117 ± 0.0611 for C. albicans, and 1.433 ± 0.0517 for the co-culture condition, while the negative control wells (TSB only) showed negligible absorbance (0.0709). A one-way ANOVA confirmed a significant difference among the groups (p < 0.0001, R2 = 0.9852). Post-hoc Šídák’s multiple comparison test revealed that biofilm biomass in the co-culture condition was significantly higher compared to A. baumannii alone (mean difference = 0.47, p = 0.0001) and C. albicans alone (mean difference = 0.32, p = 0.0013).

Fig. 1.

Fig. 1

Biofilm biomass was quantified using the CV assay at OD620 nm at (A) 24 h, (B) 48 h, and (C) 72 h of incubation. Data represent the mean ± SD of three independent isolates (blue, red, black dots) per group. Statistical analysis was performed using One-way ANOVA followed by Šídák’s multiple comparison test. Statistical significance is indicated as follows: (*p-value < 0.05, **p-value < 0.01, ***p-value < 0.001).

After 48 h, the mean biofilm formation (OD620 nm ± SD) was 1.130 ± 0.080 for A. baumannii, 1.225 ± 0.075 for C. albicans, and 1.640 ± 0.074 for the co-culture (Fig. 1B). A one-way ANOVA revealed a statistically significant difference among the groups (R2 = 0.9816, p < 0.0001). Post hoc Šídák’s multiple comparisons test confirmed that co-culture resulted in significantly higher biofilm biomass than A. baumannii alone (p < 0.001) and C. albicans alone (p < 0.01).

After 72 h, biofilm formation continued to increase across all groups compared to earlier time points (Fig. 1C). The mean biofilm biomass (OD620 nm ± SD) was 1.245 ± 0.092 for A. baumannii, 1.318 ± 0.069 for C. albicans, and higher in the co-culture condition at 1.743 ± 0.075. One-way ANOVA indicated a significant difference among the groups (R2 = 0.9825, p < 0.0001). Šídák’s multiple comparisons confirmed that co-culture produced significantly greater biofilm biomass than A. baumannii alone (p < 0.001) and C. albicans alone (p < 0.01). Together, these results show that the synergistic effect of co-culture on biofilm formation was sustained and further pronounced at 72 h.

Time-dependent changes in biofilm biomass

This section presents the dynamics of biofilm progression within each condition across different time points. A. baumannii showed an increase in biofilm biomass across 24, 48, and 72 h of incubation (Fig. 2A). One-way ANOVA demonstrated a highly significant effect of incubation time on biofilm formation (p < 0.0001, R2 = 0.966). Dunnett’s multiple comparisons test further revealed that biofilm formation at 72 h was significantly higher than at 24 h (mean difference = – 0.279, p = 0.013), while the increase from 24 to 48 h did not reach statistical significance (mean difference = – 0.164, p = 0.108).

Fig. 2.

Fig. 2

Biofilm biomass of A. baumannii and C. albicans in mono-culture and co-culture conditions. (A) A. baumannii biofilm biomass at 24 h, 48 h, and 72 h. (B) C. albicans biofilm biomass at 24 h, 48 h, and 72 h. (C) Co-culture biofilm biomass at 24 h, 48 h, and 72 h. Data represent the mean ± SD of three independent isolates (blue, red, black dots) per group. Statistical analysis was performed using one-way ANOVA followed by Dunnett’s multiple comparison test. Statistical significance is indicated as (*p-value < 0.05, **p-value < 0.01).

Moreover, CV biofilm quantification revealed that C. albicans exhibited progressive biofilm development over time (Fig. 2B). One-way ANOVA demonstrated a significant overall effect of incubation time on biofilm biomass (p < 0.0001, R2 = 0.9778). Dunnett’s post hoc analysis showed that biofilm formation at 72 h was significantly higher than at 24 h (mean difference = − 0.2007, p = 0.0292). The increase observed between 24 and 48 h was not statistically significant (mean difference = − 0.1083, p = 0.2313).

The co-culture model of A. baumannii and C. albicans showed a progressive increase in biofilm biomass over time (Fig. 2C). One-way ANOVA revealed a highly significant effect of incubation time on biofilm formation (p < 0.0001, R² = 0.9880). Post hoc Dunnett’s test showed that biofilm biomass at 48 h was significantly higher than at 24 h (mean difference = − 0.2072, p = 0.0239), and a further significant increase was observed at 72 h compared to 24 h (mean difference = − 0.3105, p = 0.0035). All experimental groups exhibited significantly greater biofilm biomass than the control (mean difference = 1.362, p < 0.0001). These findings indicate that co-culture of A. baumannii and C. albicans promotes biofilm formation, with a significant increase detectable as early as 48 h and further enhanced at 72 h. On the other hand, mono-cultures showed a gradual pattern.

Classification of biofilm-forming ability

Biofilm-forming ability was classified using the cut-off optical density (ODc = 0.0786) derived from negative controls. All tested isolates of A. baumannii, C. albicans, and their co-culture showed OD isolate > 4xODc (0.0786) at all time points, indicating high biofilm formation. The control group remained within the non-biofilm former (NBF) range. All tested clinical isolates were categorised as high biofilm formers (HBF). Detailed classification data are provided in Supplementary Table S1.

Gene expression analysis of virulence-associated genes in A. baumannii and C. albicans during mono-culture and co-culture using qPCR

Differential gene expression of (bap, ompA, and abaI) genes in A. baumannii during mono-culture and co-culture with C. albicans at 24 and 48 h

qPCR analysis showed a significant difference in bap expression between A. baumannii mono-culture and co-culture at 24 h. As ΔCt increases, expression decreases. Mono-culture showed low expression (ΔCt mean: 2.84), while co-culture showed reduced ΔCt values (ΔCt mean: – 4.66), indicating strong upregulation. A paired t-test verified significance (mean ± SD difference: – 7.50 ± 0.99, p < 0.01) (Fig. 3A). Similarly, ompA expression differed significantly at 24 h, with mono-culture showing a ΔCt mean of 11.87, and co-culture 6.28, indicating upregulation. This decrease in ΔCt was statistically significant (mean ± SD difference: – 5.587 ± 0.5220, p < 0.01) (Fig. 3B). The quorum-sensing gene abaI also showed a significant change: mono-culture ΔCt mean 6.22, co-culture 0.1533, indicating strong upregulation (mean ± SD difference: – 6.067 ± 1.145, p < 0.05) (Fig. 3C).

Fig. 3.

Fig. 3

Differential gene expression of (bap, ompA, and abaI) genes in A. baumannii during mono-culture and co-culture with C. albicans at 24 and 48 h. Relative expression of virulence-associated genes (bap, ompA, and abaI) in A. baumannii at 24 h and 48 h under mono-culture and co-culture conditions. (A–C) Gene expression at 24 h. (D–F) Gene expression at 48 h. Expression levels were analysed by RT-qPCR and normalised to the 16S rRNA housekeeping gene. Data are presented as ΔCt values, where lower values indicate higher gene expression and vice versa. Each data point represents a single independent isolate, and bars indicate the mean ± SD. Statistical analysis was performed using paired t-tests (*p-value < 0.05, **p-value < 0.01).

At 48 h, bap expression showed no significant difference (mono-culture ΔCt: 0.7666, co-culture: – 1.4; paired t-test: p = 0.2896) (Fig. 3D). For ompA, showed no significant change (fold changes 0.84 and 0.29. Mean ΔCt values were – 3.1 (mono-culture) and 12.78 (co-culture), with no significant difference (p = 0.3955) (Fig. 3E). abaI expression also showed non-significant change at 48 h (mono-culture ΔCt: – 5.09, co-culture ΔCt: 2.4466; p = 0.1416) (Fig. 3F). The fold changes of bap, ompA, and abaI were calculated through the 2^–ΔΔCt method34. The fold changes are listed in Table 4.

Table 4.

Fold change in expression of A. baumannii virulence genes (Co-culture compared to Mono-culture, 24 and 48 h).

Incubation time Gene Isolate 1 (FC) Isolate 2 (FC) Isolate 3 (FC) Mean ± SD
24 h bap 321.80 216.77 85.04 207.87 ± 119.37
ompA 67.65 49.87 32.90 50.14 ± 17.43
abaI 163.14 51.98 35.51 83.54 ± 67.62
48 h bap 3.48 0.84 31.12 11.81 ± 16.36
ompA 0.84 0.29 1.87 × 10⁻13 0.38 ± 0.41
abaI 1.73 5.62 25.11 12.43

*Relative fold change in expression of A. baumannii virulence genes (bap, ompA, abaI) in co- culture compared to mono-culture at 24 and 48 h. Data are presented as fold changes relative to individual patient values and their mean ± SD.

Differential gene expression of (ERG11, ALS3, and HWP1) genes in C. albicans during mono-culture and co-culture with A. baumannii at 24 and 48 h

At 24 h, ERG11 in mono-culture showed a ΔCt mean of 0.98, while co-culture showed reduced ΔCt values (ΔCt mean: – 0.94). Paired t-test confirmed that the difference was not statistically significant (mean ± SD difference: – 1.927 ± 1.155, p = 0.1018) (Fig. 4A). Similarly, ALS3 showed a mean ΔCt of 1.62 in mono-culture and 0.24 in co-culture. This decrease in ΔCt was not statistically significant (mean ± SD difference: – 1.383 ± 1.301, p = 0.2068) (Fig. 4B). The HWP1 gene also showed reduced ΔCt values, from –0.58 in the mono-culture to – 5.11 in the co-culture; however, the paired t-test verified that this difference was not statistically significant (mean ± SD difference: – 4.527 ± 1.926, p = 0.0554) (Fig. 4C).

Fig. 4.

Fig. 4

Differential gene expression of virulence genes in C. albicans during mono-culture and co-culture with A. baumannii at 24 and 48 h. Relative expression of virulence-associated genes (ERG11, ALS3, and HWP1) in C. albicans under mono-culture and co-culture with A. baumannii. (A–C) Gene expression at 24 h. (D–F) Gene expression at 48 h. Expression levels were measured using RT-qPCR and normalised to the ACT1 housekeeping gene. Data are presented as ΔCt values, where lower ΔCt indicates higher gene expression and vice versa. Each data point represents an individual isolate. Bars represent the mean ± SD. Statistical analysis was performed using paired t-tests (*p-value < 0.05).

At 48 h, ERG11 expression showed no significant difference (mono-culture ΔCt: 1.17, co-culture: – 0.72; paired t-test: p = 0.1837) (Fig. 4D). For ALS3, ΔCt values decreased from 2.80 to 0.70, but this change was not statistically significant (mean ± SD difference: – 2.107 ± 3.880, p = 0.4463) (Fig. 4E). In contrast, HWP1 expression showed a statistically significant change at 48 h, with ΔCt decreasing from –1.06 in the mono-culture to – 6.67 in the co-culture, indicating strong upregulation (mean ± SD difference: – 5.597 ± 1.151, p < 0.05) (Fig. 4F). The fold changes for ERG11, ALS3, and HWP1 were calculated using the 2^–ΔΔCt method34. The fold change values are listed in Table 5.

Table 5.

Relative gene expression (fold change) of C. albicans virulence genes in co-culture versus mono-culture at 24- and 48-h.

Incubation time Gene Isolate 1 (FC) Isolate 2 (FC) Isolate 3 (FC) Mean ± SD
24 h ERG11 2.43 9.58 2.36 4.79 ± 4.06
ALS3 5.78 0.98 3.14 3.30 ± 2.41
HWP1 62.68 38.59 5.06 35.44 ± 28.93
48 h ERG11 1.01 8.00 6.23 5.08 ± 3.61
ALS3 1.65 0.54 89.88 30.69 ± 50.47
HWP1 36.00 119.43 26.35 60.59 ± 50.29

*Relative fold change in expression of C. albicans virulence genes in co-culture compared to mono-culture at 24 and 48 h. Data are presented as fold changes relative to individual patient values and their mean ± SD.

Discussion

The existence of polymicrobial communities is supported by their presence in biofilms. Biofilms shield the microbial community through an extracellular matrix that protects it from host immune defense mechanisms, harsh environmental conditions, and antimicrobials. Biofilms could consist of a single species, multiple species, or even different kingdoms. Microbial infections are commonly caused by polymicrobial biofilm, which involves different fungi, bacteria, or viruses36. Thus, this study analysed the molecular interactions between C. albicans and A. baumannii, focusing on virulence and biofilm-related factors in the clinical isolates tested. To our knowledge, most of the previous co-culture studies on different species used laboratory strains or isolates from different patients37–40. However, this study explored interactions between co-isolated C. albicans and A. baumannii to provide an exploratory clinical and physiological perspective despite the limited sample size.

Antimicrobial susceptibility testing was performed using the VITEK-2 system for the co-isolated C. albicans and A. baumannii. C. albicans isolates were susceptible to all antifungal agents tested, including azoles, echinocandins, polyenes, and flucytosine. These results are consistent with previous studies indicating that C. albicans isolates generally remain susceptible to commonly used antifungal agents, including azoles and polyenes, particularly in UTI-associated isolates10,41,42. On the other hand, A. baumannii isolates demonstrated extensive drug resistance (XDR). It showed resistance to all tested classes, including β-lactams, carbapenems, aminoglycosides, and fluoroquinolones. This resistance profile is consistent with the studies that emphasized the alarming multidrug resistance capacity of A. baumannii17,43 Although isolates of C. albicans showed susceptibility, their synergistic interaction with A. baumannii in biofilms could enhance bacterial and fungal persistence44.

Biofilm formation of A. baumannii and C. albicans individually and in co-culture was assessed by CV assay at 24 h, 48 h, and 72 h. All isolates of A. baumannii, C. albicans, and their co-culture were high biofilm formers (HBF), with OD values exceeding 4 × ODc at all time points. In co-culture, biofilm biomass increased significantly at all time points compared with each species individually, consistent with a potential synergistic interaction that enhances biofilm development in these isolates. The hyphae of C. albicans may serve as scaffolds for bacterial growth, as shown in Staphylococcus aureus45. They may facilitate A. baumannii adherence by presenting ompA-binding sites on their hyphal structures, thereby promoting biofilm formation46. A significant difference in biofilm biomass between 24 and 72 h was observed for both species, supporting their strong biofilm-forming ability, as in previous studies47,48, while no significant difference was observed between 24 and 48 h, indicating the need for extended incubation for biofilm stabilisation49. In contrast, co-culture showed a more rapid and pronounced increase in biofilm, with significant differences at 48 and 72 h compared to 24 h, further supporting a synergistic interaction between A. baumannii and C. albicans in the tested clinical isolates. This high biofilm-forming capacity may contribute to their clinical importance, persistence on catheters, and reduced antimicrobial susceptibility in chronic UTIs. Consequently, patients with polymicrobial UTIs may potentially experience higher biofilm biomass and more complications, which requires further investigation to prove50.

The co-culture of A. baumannii with C. albicans at 24 h showed a statistically significant upregulation of all three biofilm-associated genes compared to mono-culture in the tested clinical isolates. bap showed a 207-fold mean upregulation, ompA nearly 50-fold, and abaI over 80-fold, consistent with a potential synergistic interaction between both species. No previous studies reported such upregulation, while one study showed suppression of abaI and ompA in A. baumannii ATCC 19,606 in the presence of C. albicans, suggesting antagonism51. Our findings differ from this, as the increased biofilm biomass aligns with upregulation of bap and abaI, supporting a synergistic interaction. At 48 h, bap, ompA, and abaI did not reach statistical significance and showed variation among isolates, reflecting intrinsic heterogeneity in clinical samples.

In C. albicans, co-culture with A. baumannii at 24 h showed that ERG11, ALS3, and HWP1 did not reach statistical significance and varied among isolates, reflecting intrinsic heterogeneity in clinical samples. This variability was similarly reported in a study showing differential ALS3 expression among 55 C. albicans isolates from septicemia patients52. At 48 h, ERG11 and ALS3 did not reach statistical significance. However, HWP1 exhibited a ~ 60-fold increase and statistically significant upregulation relative to monoculture across the tested clinical isolates. This is consistent with the potential that A. baumannii enhances hypha-associated virulence.

During co-culture, A. baumannii gene expression decreased from 24 to 48 h, possibly due to feedback regulation or nutrient limitation. C. albicans may trigger an early burst of A. baumannii virulence expression to establish adhesion, followed by downregulation as biofilm maturation progresses. Farnesol secreted by C. albicans may modulate A. baumannii physiology, though the bacterium’s farnesol efflux pump may confer resistance40. In C. albicans, co-culture led to reduced ALS3 and ERG11 but sustained HWP1 expression, consistent with a transition from adhesion to hyphal dominance. Persistent HWP1 upregulation reflects its key role in maintaining hyphal morphology and persistence in polymicrobial environments. This transcriptional pattern corresponds to the observed increase in biofilm biomass in co-culture compared to mono-culture. Collectively, these findings indicate that C. albicans exhibits a more invasive phenotype during co-culture with A. baumannii, supporting a synergistic interaction that enhances persistence and treatment resistance in UTIs.

To our knowledge, this study provides an exploratory evidence of a synergistic relationship between co-isolates of A. baumannii and C. albicans, in contrast to previous reports of antagonism40,53. However, other studies have reported evidence of synergism between the two pathogens, consistent with this study’s findings. For instance, a study showed that C. albicans colonisation is a risk factor for A. baumannii ventilator-associated pneumonia (VAP); in rat models, fungal colonisation increased A. baumannii load and lung damage51. Another study suggested that ethanol produced by C. albicans enhances A. baumannii survival by upregulating efflux pump, phospholipase C, and iron assimilation genes54. Furthermore, a previous study suggested that the structural similarity between A. baumannii ompA and C. albicans Hyr1p suggests potential receptor-like roles in mixed-species biofilm formation46. In this exploratory study, it is suggested that there could be a sequential scaffolding mechanism organised by a shift in gene expression, with bacterial virulence genes (bap, ompA, abaI) peaking at 24 h, followed by an increase in fungal HWP1 gene expression at 48 h. The early significant upregulation of A. baumannii virulence genes indicates that A. baumannii acts as the primary coloniser. While the delay in HWP1 upregulation at 48 h suggests that C. albicans could be responding to the bacterial presence or the quorum-sensing molecules produced by A. baumannii at 24 h. The hyphal network produced by C. albicans serves as a barrier that protects XDR A. baumannii, potentially creating a highly resistant biofilm that is difficult to eradicate in UTI cases.

This study has several limitations. First, the small number of paired clinical isolates may limit the generalizability of the findings. Second, well-characterised reference strains were not included for comparison with the clinical co-isolates. Third, the study evaluated transcriptional changes without assessing corresponding protein expression or functional phenotypes. In addition, gene expression analysis was limited to 24 h and 48 h and did not include the 72 h time point. Finally, antimicrobial susceptibility testing was performed on individual isolates rather than in co-culture.

Conclusion

In conclusion, this study demonstrates that co-culture of A. baumannii and C. albicans increases biofilm biomass relative to monocultures, indicating a synergistic interspecies interaction in polymicrobial urinary tract infection models. This effect was accompanied by a time-dependent modulation of virulence gene expression, where A. baumannii biofilm–related genes (bap, abaI, and ompA) were upregulated early at 24 h, whereas the C. albicans HWP1 gene showed significant upregulation at 48 h. Collectively, these findings suggest a time-dependent modulation of virulence gene expression during co-culture, supporting a potential synergistic interaction between the two pathogens. This exploratory study provides preliminary evidence of bacterial–fungal cooperation that may contribute to enhanced persistence in UTIs. Further studies are required to validate these mechanisms and their clinical implications in polymicrobial infections and treatment resistance.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary Material 9 (10.3KB, png)

Acknowledgements

The authors would like to acknowledge the Urology and Nephrology Center, Mansoura University, for their technical and logistical support throughout this study.

Abbreviations

ompA

Outer membrane protein A

bap

Biofilm-associated protein

abaI

Acinetobacter autoinducer synthase (quorum-sensing regulator)

ALS3

Agglutinin-like sequence 3

HWP1

Hyphal wall protein 1

ERG11

Lanosterol 14-α-demethylase (ergosterol biosynthesis enzyme, azole resistance marker)

Author contributions

B.H: Conceptualisation, Investigation, Methodology, Data curation, Preparing figures and Graphical abstract, Writing—Original Draft R.M. G: Supervision, Project administration, Writing—Review and Editing. D.A: Supervision, Review and Editing. H.H. S: Supervision, Resources (Clinical isolates collection), Methodology, Investigation, Review and Editing.

Funding

Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB). This study did not receive any kind of funding.

Data availability

The datasets used and analyzed during the current study, including raw RT-qPCR Ct values and crystal violet absorbance data, are available from the corresponding author on reasonable request and in supplementary files.

Declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

The study was approved by the Institutional Review Board of Mansoura Faculty of Medicine in Mansoura University (Code Number: MS.25.11.3375). The requirement for informed consent to participate was waived by the IRB because the study used anonymized clinical isolates with no direct involvement of human participants, in accordance with national regulations.

Consent for publication

Not applicable. This study does not contain any data for any individual.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Gaston, J. R., Johnson, A. O., Bair, K. L., White, A. N. & Armbruster, C. E. Polymicrobial interactions in the urinary tract: Is the enemy of my enemy my friend?. Infect. Immun.89, e00652-e720 (2021). [DOI] [PubMed] [Google Scholar]
  • 2.Tay, W. H., Chong, K. K. L. & Kline, K. A. Polymicrobial-host interactions during infection. J. Mol. Biol.428, 3355–3371 (2016). [DOI] [PubMed] [Google Scholar]
  • 3.Öztürk, R. & Murt, A. Epidemiology of urological infections: A global burden. World J. Urol.38, 2669–2679 (2020). [DOI] [PubMed] [Google Scholar]
  • 4.Foxman, B. Urinary tract infection syndromes. Infect. Dis. Clin. North Am.28, 1–13 (2014). [DOI] [PubMed] [Google Scholar]
  • 5.Festa, R. A. et al. Pooled antibiotic susceptibility testing for polymicrobial UTI performs within CLSI validation standards. Antibiot. Basel Switz.14, 143 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Jorda, A. et al. Clinical and microbiological outcomes of critically Ill patients with monomicrobial versus polymicrobial bacterial bloodstream infections: A retrospective cohort study. Open Forum Infect. Dis.12, ofaf591 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Moreland, R. B., Brubaker, L. & Wolfe, A. J. Polymicrobial urine cultures: Reconciling contamination with the urobiome while recognizing the pathogens. Front. Cell. Infect. Microbiol.15, 1562687 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Flores-Mireles, A. L., Walker, J. N., Caparon, M. & Hultgren, S. J. Urinary tract infections: Epidemiology, mechanisms of infection and treatment options. Nat. Rev. Microbiol.13, 269–284 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Odegaard, J. I. & Hsieh, M. H. Immune responses to S. chistosoma haematobium infection. Parasite Immunol.36, 428–438 (2014). [DOI] [PubMed] [Google Scholar]
  • 10.Osawa, K., Shigemura, K., Yoshida, H., Fujisawa, M. & Arakawa, S. Candida urinary tract infection and Candida species susceptibilities to antifungal agents. J. Antibiot. (Tokyo)66, 651–654 (2013). [DOI] [PubMed] [Google Scholar]
  • 11.Lahiri, K., Mani, N. & Purai, S. Acinetobacter spp. as nosocomial pathogen: Clinical significance and antimicrobial sensitivity. Med. J. Armed Forces India60, 7–10 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ding, R., Li, X., Zhang, X., Zhang, Z. & Ma, X. The epidemiology of symptomatic catheter-associated urinary tract infections in the intensive care unit: A 4-year single center retrospective study. Urology J.10.22037/uj.v0i0.4256 (2018). [DOI] [PubMed] [Google Scholar]
  • 13.Kumar, S. et al. Prospective surveillance of device-associated health care–associated infection in an intensive care unit of a tertiary care hospital in New Delhi, India. Am. J. Infect. Control46, 202–206 (2018). [DOI] [PubMed] [Google Scholar]
  • 14.Fourcade, C., Canini, L., Lavigne, J.-P. & Sotto, A. A comparison of monomicrobial versus polymicrobial Enterococcus faecalis bacteriuria in a French University Hospital. Eur. J. Clin. Microbiol. Infect. Dis.34, 1667–1673 (2015). [DOI] [PubMed] [Google Scholar]
  • 15.Peleg, A. Y., Seifert, H. & Paterson, D. L. Acinetobacter baumannii: Emergence of a successful pathogen. Clin. Microbiol. Rev.21, 538–582 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ponde, N. O., Lortal, L., Ramage, G., Naglik, J. R. & Richardson, J. P. Candida albicans biofilms and polymicrobial interactions. Crit. Rev. Microbiol.47, 91–111 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Mohamed, E. A., Raafat, M. M., Samir Mohamed, R. & Ali, A. E. E. Acinetobacter baumannii biofilm and its potential therapeutic targets. Future J. Pharm. Sci.9, 82 (2023). [Google Scholar]
  • 18.Sato, Y., Unno, Y., Kawakami, S., Ubagai, T. & Ono, Y. Virulence characteristics of Acinetobacter baumannii clinical isolates vary with the expression levels of omps. J. Med. Microbiol.66, 203–212 (2017). [DOI] [PubMed] [Google Scholar]
  • 19.Gaddy, J. A. & Actis, L. A. Regulation of Acinetobacter Baumannii biofilm formation. Future Microbiol.4, 273–278 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Mohammadi, F., Hemmat, N., Bajalan, Z. & Javadi, A. Analysis of biofilm-related genes and antifungal susceptibility pattern of vaginal Candida albicans and non-Candida albicans species. BioMed Res. Int.2021, 5598907 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Nobile, C. J., Nett, J. E., Andes, D. R. & Mitchell, A. P. Function of Candida albicans adhesin Hwp1 in biofilm formation. Eukaryot. Cell5, 1604–1610 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Nailis, H. et al. Monitoring ALS1 and ALS3 gene expression during in vitro Candida albicans biofilm formation under continuous flow conditions. Mycopathologia167, 9–17 (2009). [DOI] [PubMed] [Google Scholar]
  • 23.El Said, M. et al. Detection of ERG11 gene in fluconazole resistant urinary candida isolates. Egypt. J. Immunol.29, 134–147 (2022). [PubMed] [Google Scholar]
  • 24.bioMérieux. VITEK® 2—Clinical Products. (2023).
  • 25.Preparation of routine media and reagents used in antimicrobial susceptibility testing. In Clinical Microbiology Procedures Handbook (ed. Leber, A. L.) 5.20.1.1–5.20.3.10 (ASM Press, Washington, DC, USA, 2016). 10.1128/9781555818814.ch5.20.1.
  • 26.Hacioglu, M., Haciosmanoglu, E., Birteksoz-Tan, A. S., Bozkurt-Guzel, C. & Savage, P. B. Effects of ceragenins and conventional antimicrobials on Candida albicans and Staphylococcus aureus mono and multispecies biofilms. Diagn. Microbiol. Infect. Dis.95, 114863 (2019). [DOI] [PubMed] [Google Scholar]
  • 27.Shin, D.-S. & Eom, Y.-B. Efficacy of zerumbone against dual-species biofilms of Candida albicans and Staphylococcus aureus. Microb. Pathog.137, 103768 (2019). [DOI] [PubMed] [Google Scholar]
  • 28.Corte, L., Casagrande Pierantoni, D., Tascini, C., Roscini, L. & Cardinali, G. Biofilm specific activity: A measure to quantify microbial biofilm. Microorganisms7, 73 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ye, J. et al. Primer-BLAST: A tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics13, 134 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Qiagen. miRNeasy Mini Kit: Quick-Start Protocol. (2016).
  • 31.Amin, M. et al. Association between biofilm formation, structure, and the expression levels of genes related to biofilm formation and biofilm-specific resistance of Acinetobacter baumannii strains isolated from burn infection in Ahvaz. Iran. Infect. Drug Resist.12, 3867–3881 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Maione, A. et al. Anti-biofilm activity of phenyllactic acid against clinical isolates of fluconazole-resistant Candida albicans. J. Fungi9, 355 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Stepanović, S. et al. Quantification of biofilm in microtiter plates: Overview of testing conditions and practical recommendations for assessment of biofilm production by staphylococci. APMIS115, 891–899 (2007). [DOI] [PubMed] [Google Scholar]
  • 34.Livak, K. J. & Schmittgen, T. D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods25, 402–408 (2001). [DOI] [PubMed] [Google Scholar]
  • 35.Performance Standards for Antimicrobial Susceptibility Testing. (Clinical and Laboratory Standards Institute, Place of publication not identified, 2021).
  • 36.Anju, V. T. et al. Polymicrobial infections and biofilms: Clinical significance and eradication strategies. Antibiotics11, 1731 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Lee, K.-H., Park, S. J., Choi, S. J. & Park, J. Y. Proteus vulgaris and Proteus mirabilis decrease Candida albicans Biofilm formation by suppressing morphological transition to its hyphal form. Yonsei Med. J.58, 1135 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Asih, D. et al. Biofilm formation by the interaction of fungi (Candida tropicalis) with various bacteria. J. Adv. Biotechnol. Exp. Ther.6, 84 (2023). [Google Scholar]
  • 39.Gaddy, J. A., Tomaras, A. P. & Actis, L. A. The Acinetobacter baumannii 19606 OmpA protein plays a role in biofilm formation on abiotic surfaces and in the interaction of this pathogen with eukaryotic cells. Infect. Immun.77, 3150–3160 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Kostoulias, X. et al. Impact of a cross-kingdom signaling molecule of Candida albicans on Acinetobacter baumannii physiology. Antimicrob. Agents Chemother.60, 161–167 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Tannupriya, T., Kapoor, D. & Garg, V. K. Antifungal drugs susceptibility towards candida albicans in female patients with UTI. Int. J. Health Sci.10.53730/ijhs.v6nS3.8132 (2022). [Google Scholar]
  • 42.Dawoud, A. M., Saied, S. A., Torayah, M. M., Ramadan, A. E. & Elaskary, S. A. Antifungal susceptibility and virulence determinants profile of candida species isolated from patients with candidemia. Sci. Rep.14, 11597 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Zhang, H.-L. et al. Analysis of antimicrobial resistance and genetic diversity of Acinetobacter baumannii in a tertiary care hospital in Haikou City. Sci. Rep.14, 22068 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Rodrigues, M. E., Gomes, F. & Rodrigues, C. F. Candida spp./bacteria mixed biofilms. J. Fungi6, 5 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Harriott, M. M. & Noverr, M. C. Candida albicans and Staphylococcus aureus form polymicrobial biofilms: Effects on antimicrobial resistance. Antimicrob. Agents Chemother.53, 3914–3922 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Uppuluri, P. et al. The Hyr1 protein from the fungus Candida albicans is a cross kingdom immunotherapeutic target for Acinetobacter bacterial infection. PLOS Pathog.14, e1007056 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Atiencia-Carrera, M. B. et al. Evaluation of the biofilm life cycle between Candida albicans and Candida tropicalis. Front. Cell. Infect. Microbiol.12, 953168 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Eze, E., Chenia, H. & El Zowalaty, M. Acinetobacter baumannii biofilms: Effects of physicochemical factors, virulence, antibiotic resistance determinants, gene regulation, and future antimicrobial treatments. Infect. Drug Resist.11, 2277–2299 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Shree, P., Singh, C. K., Sodhi, K. K., Surya, J. N. & Singh, D. K. Biofilms: Understanding the structure and contribution towards bacterial resistance in antibiotics. Med. Microecol.16, 100084 (2023). [Google Scholar]
  • 50.Anju, V. T. et al. Polymicrobial infections and biofilms: Clinical significance and eradication strategies. Antibiot. Basel Switz.11, 1731 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Tan, X. et al. Candida albicans airway colonization facilitates subsequent Acinetobacter baumannii pneumonia in a rat model. Antimicrob. Agents Chemother.60, 3348–3354 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Deng, K. et al. ALS3 expression as an indicator for Candida albicans biofilm formation and drug resistance. Front. Microbiol.12, 655242 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Peleg, A. Y. et al. Prokaryote-eukaryote interactions identified by using Caenorhabditis elegans. Proc. Natl. Acad. Sci. U. S. A.105, 14585–14590 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Camarena, L., Bruno, V., Euskirchen, G., Poggio, S. & Snyder, M. Molecular mechanisms of ethanol-induced pathogenesis revealed by RNA-sequencing. PLoS Pathog.6, e1000834 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Supplementary Material 9 (10.3KB, png)

Data Availability Statement

The datasets used and analyzed during the current study, including raw RT-qPCR Ct values and crystal violet absorbance data, are available from the corresponding author on reasonable request and in supplementary files.


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