Proteomic Analysis of Cellular and Membrane Proteins in Fluconazole-Resistant Candida glabrata

Jae Il Yoo; Chi Won Choi; Hwa Su Kim; Jung Sik Yoo; Young Hee Jeong; Yeong Seon Lee

doi:10.1016/j.phrp.2012.04.001

Articles

Page Path

Articles

Proteomic Analysis of Cellular and Membrane Proteins in Fluconazole-Resistant Candida glabrata

Jae Il Yoo^a, Chi Won Choi^b, Hwa Su Kim^a, Jung Sik Yoo^a, Young Hee Jeong^a, Yeong Seon Lee^a,*

Osong Public Health and Research Perspectives 2012;3(2):74-78.
Published online: May 31, 2012

DOI: https://doi.org/10.1016/j.phrp.2012.04.001

^aDivision of Antimicrobial Resistance, Korea National Institute of Health, Osong, Korea.

^bProteome Research Team, Korea Basic Science Institute, Daejeon, Korea.

Corresponding author. E-mail: yslee07@nih.go.kr

• Received: January 27, 2012 • Revised: February 15, 2012 • Accepted: February 20, 2012

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License () which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

5,107 Views
31 Download
7 Crossref
9 Scopus

prev next

Full Article

Download PDF

Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion

Abstract

Objectives
Candida glabrata is one of the most common causes of Candida bloodstream infections worldwide. Some isolates of C glabrata may be intermediately resistant to azoles, with some strains developing resistance during therapy or prophylaxis with fluconazole. In this study, we used a proteomic approach to identify differentially expressed proteins between fluconazoleresistant and -susceptible strains.
Methods
Membrane and cellular proteins were extracted from fluconazolesusceptible and fluconazole-resistant C glabrata strains. Differentially expressed proteins were compared using two-dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis. Proteins with >1.5-fold difference in expression were identified by liquid chromatography tandem mass spectrometry (LC-MS/MS).
Results
A total of 65 proteins were differentially expressed in the cellular and membrane fractions. Among the 39 cellular proteins, 11 were upregulated and 28 were downregulated in fluconazole-resistant strains in comparison with fluconazole-susceptible strains. In the membrane fraction, a total of 26 proteins were found, of which 19 were upregulated and seven were downregulated. A total of 31 proteins were identified by LC-MS/MS that are involved in glycolysis, carbohydrate transport, energy transfer, and other metabolic pathways. Heat shock proteins were identified in various spots.
Conclusion
Heat shock and stress response proteins were upregulated in the membrane fraction of the fluconazole-resistant C glabrata strain. Compared with susceptible strains, fluconazole-resistant strains showed increased expression of membrane proteins and decreased expression of cellular proteins.
Keywords: azole resistance; candidiasis; heat shock protein; proteomics; stress response protein

1. Introduction

The incidence of life-threatening fungal infections has increased steadily over the most recent decade [1,2]. In the most recent years, there has been increased interest in the opportunistic pathogen, Candida, which is responsible for the majority of fungal infections. Indeed, the increase in Candida blood infections among hospitalized patients and the rising incidence of infections caused by non-albicans Candida species, including C glabrata, C tropicalis, and C parapsilosis, have been noted [3]. In particular, C glabrata has emerged as a major cause of mucosal and invasive fungal infection in the United States, second only to C albicans [4]. The rise in the number of C glabrata systemic infections deserves a great deal of attention due to the high mortality rate associated with C glabrata fungemia [5]. Because the frequency of fungal infections is increasing, the need for antifungal agents has correspondingly increased, but antifungal agents are restricted to a few compounds. In particular, fluconazole is a highly effective widespectrum antifungal agent that is widely prescribed for the treatment of superficial and systemic candidiasis because it can be orally administered. However, the widespread and prolonged use of azoles in recent years has led to the rapid development of drug resistance in Candida species [6,7]. C glabrata infections are difficult to treat and are often resistant to many azole antifungal agents, especially fluconazole [8,9]. Fluconazole has limited activity against C glabrata because C glabrata has an intrinsically low susceptibility to azole antifungal agents. Furthermore, acquired azole resistance has recently been reported in oral isolates of C glabrata from hematopoietic stem cell transplant recipients and patients who have received radiation for the treatment of head and neck cancer [9,10]. The mechanisms underlying C albicans resistance to azole antifungal agents have been well elucidated. Nonetheless, the molecular basis for the intrinsically low susceptibility of C glabrata remains unclear. Several mechanisms of acquired resistance to azole antifungal agents have been proposed, including the upregulation of the genes that encode the ATPbinding cassette (ABC) transporters (CDR1 and CDR2) [11] and the target of azole antifungal agents, lanosterol 14-α-demethylase (ERG11) [12]. Recently, a proteomic analysis of multiple matched sets of azolesusceptible and azole-resistant Candida isolates was undertaken in order to understand the mechanisms underlying azole antifungal resistance. In this study, we investigated changes in the expression levels of cellular and membrane proteins between fluconazole-resistant and -susceptible C glabrata strains. Here, we report several proteins that were found to be associated with fluconazole resistance.

2. Materials and Methods

2.1. C glabrata strains and growth conditions

We previously reported the results of an antifungal susceptibility test [13]. Based on those results, we selected four C glabrata strains according to their fluconazole susceptibility for a comparative proteomic study. To minimize variation between strains, two strains of each type (fluconazole-susceptible and fluconazole-resistant) were used. All strains were stored at -80℃. Prior to testing, each strain was subcultured twice on Sabouraud dextrose agar (Difco, Co., USA) to ensure viability and purity. For the proteomic analysis, an aliquot of the glycerol stock of each strain was diluted in YPD broth (1% yeast extract, 2% peptone, and 1% dextrose) and cultured overnight at 30℃ in a shaking incubator. The cultures were diluted to an optical density 0.2 at OD600 in 0.5 L of fresh YPD broth and grown as before to the logarithmic phase and an equivalent optical density.

2.2. Cellular and membrane protein extraction

C glabrata was cultured in YPD broth at 30℃ to the late exponential phase of growth. Cells were harvested, washed with distilled water, and resuspended in homogenizing buffer (50 mM Tris-HCl, 2 mM EDTA, and 1 mM phenylmethylsulfonyl fluoride; pH 7.5). The cells were then disrupted using glass beads. Cell debris and any unbroken cells were removed by centrifugation at 5000× g at 4℃ for 10 minutes. The supernatants were pooled, desalted, concentrated, and analyzed for cellular proteins. A crude membrane fraction was isolated from the cell-free supernatant (after cell disruption) by centrifugation at 30,000× g at 4℃ for 30 minutes. The pellets were washed in GTE buffer (10 mM Tris-HCl, 0.5 mM EDTA, 20% [v/v] glycerol; pH 7.0), resuspended in GTE buffer, and stored at -80℃. The protein concentration was determined using a micro-Bradford assay in the protein assay kit II (Bio- Rad, Hercules, CA, USA).

2.3. Two-dimensional gel electrophoresis analysis

For the two-dimensional (2D) gel electrophoresis analysis, pH 3e10 immobilized pH gradient (IPG) strips (Amersham Biosciences, Amersham Co., USA) were rehydrated in a swelling buffer containing 7 M urea, 2 M thiourea, 0.4% (w/v) DTT, and 4% (w/v) CHAPS. The protein lysates (500 μg) were cup-loaded into the rehydrated IPG strips using a Multiphor II apparatus (Amersham Biosciences) at 57 kVh. Two-dimensional gel separation was performed on 8–16% (v/v) linear gradient sodium dodecyl sulfate (SDS) polyacrylamide gels. Then, the gels were fixed, stained, destained, and imaged using a GS-710 imaging calibrated densitometer (Bio-Rad). Protein spot detection and 2D pattern matching were carried out using ImageMasterTM 2D Platinum software (Amersham Biosciences). To compare the protein spot densities between the control and treated samples, > 20 spots throughout all of the gels were correspondingly landmarked and normalized. To ensure the reproducibility of the 2D gel electrophoresis experiments, each sample was analyzed in duplicate.

2.4. In-gel protein digestion

Protein bands of interest were excised and digested in-gel with sequencing-grade, modified trypsin (Promega, Madison, WI, USA) as previously described [14]. In brief, each protein spot was excised from the gel, placed in a polypropylene (Eppendorf) tube, and washed 4–5 times (until the gel was clear) using 150 μL of a 1:1 mixture of acetonitrile:25 mM ammonium bicarbonate at pH 7.8. The gel slices were dried and rehydrated. The tryptic peptides that remained in the gel matrix were extracted for 40 minutes at 30℃ using 20 μL of 50% (v/ v) aqueous acetonitrile containing 0.1% (v/v) formic acid. The combination supernatants were evaporated and dissolved in 8 μL of 5% (v/v) aqueous acetonitrile solution containing 0.1% (v/v) formic acid for mass spectrometry analysis.

2.5. Identification of proteins by liquid chromatography tandem mass spectrometry

The resulting tryptic peptides were separated and analyzed using capillary reversed-phase high-performance liquid chromatography (HPLC) that was directly coupled to a Thermo Finnigan LCQ ion trap mass spectrometer (LC-MS/MS) [15]. The individual spectra from MS/MS were processed using TurboSEQUEST software (Thermo Quest, San Jose, CA, USA). The generated peak list files were used to query either the MSDB database or NCBI using the MASCOT program

Figure 1.

Cellular and membrane protein spots of C glabrata strains that were resolved using two-dimensional gel electrophoresis. Spots representing differentially expressed proteins were later identified by liquid chromatography-tandem mass spectrometry (LC-MS/MS) peptide mass fingerprinting. (A) Cellular protein spots of fluconazole-susceptible strains. (B) Cellular proteins spots of fluconazole-resistant strains. (C) Membrane protein spots of fluconazole-susceptible strains. (D) Membrane protein spots of fluconazole-resistant strains.

Proteomic Analysis of Cellular and Membrane Proteins in Fluconazole-Resistant Candida glabrata

(http://www.matrixscience.com, matrix science Ltd.). Modifications to methionine and cysteine, peptide mass tolerance at 2 Da, MS/MS ion mass tolerance at 0.8 Da, allowance of missed cleavage at 2, and charge states (+1, +2, and +3) were taken into account. Only significant hits as defined by the MASCOT probability analysis were initially considered.

3. Results

3.1. Analysis of the 2D gel spots

Among the clinically isolated C glabrata strains, the C glabrata D-31 and D-33 strains were identified as fluconazole-susceptible strains and the C. glabrata D-116 and D-149 strains were identified as fluconazole-resistant strains. Using 2D gel electrophoresis, the differential expression of proteins between the fluconazolesusceptible and -resistant strains was investigated (Figure 1). Regarding the membrane proteins, a total of 26 protein spots were found to be differentially expressed (by 1.5-fold) in fluconazole-resistant C glabrata strains in comparison with fluconazole-susceptible strains. Among these proteins, 19 proteins were upregulated and 7 proteins were downregulated in the fluconazole-resistant strains. As for the cellular proteins, a total of 39 protein spots were found to be differentially expressed in fluconazole-resistant versus fluconazole-susceptible strains. Among these 39 proteins, 11 were upregulated and 28 were downregulated. The protein spots were evenly spread throughout the pH 3–10 IPG gel.

3.2. Identification of differentially expressed proteins

Using LC-MS/MS, a total of 31 proteins were identified in the cellular and membrane protein fractions. In the membrane protein fraction, the expression of stress

Table 1.

Differentially expressed membrane proteins, as identified by LC-MS/MS between of fluconazole-susceptible and -resistant C glabrata strains

Table 1.
Spot	Protein	Molecular mass (kDa)	pI	Protein coverage (%)	Fold change (R/S)*

151	Ugp1	55.916	6.98	18	–4.04
86	Phosphoglycerate kinase	44.590	6.37	8	–2.33
65	Malate dehydrogenase	35.544	8.93	4	–2.02
149	Putative stress response protein	59.391	5.93	15	3.98
26	Nucleotide transport and metabolism hydrolase	25.680	5.96	15	3.07
153	Aldehyde dehydrogenase	27.079	5.77	5	3.89
176	Heat shock protein 70	69.806	5.06	13	2.98
72	Glyceraldehyde 3-phosphate dehydrogenase	35.871	6.46	2	2.12
136, 47	Methionine aminopeptidase	44.307	6.48	4	1.92

*Expression ratio of fluconazole-resistant (R) over fluconazole-susceptible (S) strains. The minus sign (-) indicatesthe decreased protein expression of fluconazole-resistant strains in comparison with fluconazole-susceptible strains.

LC-MS/MS: liquid chromatography-tandem mass spectrometry.

response protein, aldehyde dehydrogenase, and heat shock protein, among others, were increased, whereas the expression levels of phosphoglycerate kinase, malate dehydrogenase, and UgP1 protein were decreased. Of note, the expression levels of stress response protein and aldehyde dehydrogenase were 3.8-fold higher in the fluconazole-resistant strain compared with the fluconazole-susceptible strain (Table 1). In the cellular protein fraction, several proteins showed decreased expression, but only four were upregulated in the fluconazole-resistant strains: fructose bisphosphate aldolase, phosphoglycerate kinase, and another unnamed

Table 2.

Differentially expressed cellular proteins, as identified by LC-MS/MS, between fluconazole-susceptible and -resistant C glabrata strains

Table 2.
Spot	Protein	Molecular mass (kDa)	pI	Protein coverage (%)	Fold change (R/S)*

288	Unnamed protein	61.726	5.59	10	1.90
64	Fructose bisphosphate aldolase	39.322	5.49	4	1.90
82	Phosphoglycerate kinase	44.590	6.37	16	1.71
286	GroEL-like type I chaperonin	60.351	5.14	5	–2.50
287, 290, 217, 284, 248	Heat shock protein70	66.355	5.32	5	–2.31
272, 270, 273	Hexokinase	53.772	5.23	32	–2.30
187	Putative oxidoreductase	33.032	5.01	4	–2.15
282, 250	Putative pyruvate decarboxylase	61.531	5.43	6	–2.09
281	Pyruvate kinase	55.060	6.08	6	–2.03
41	DNA-dependent RNA polymerase II	38.917	7.7	7	–1.95
141	Mitochondrial aconitase hydratase	84.169	5.96	1	–1.83
138	CoA-transferase	57.167	8.46	5	–1.75
176	IPP1P inorganic pyrophosphatase	14.532	4.84	83	–1.66

*Expression ratio of fluconazole-resistant (R) over fluconazole-susceptible (S) strains. The minus sign (-) indicates decreased protein expression of fluconazole-resistant strains in comparison with fluconazole-susceptible strains.

LC-MS/MS: liquid chromatography-tandem mass spectrometry.

protein. Among the identified proteins, heat shock protein 70 was found in five protein spots and hexokinase was identified in three spots (Table 2).

4. Discussion

C glabrata has an intrinsic tendency to resist the antifungal agent, fluconazole. The exact mechanisms underlying fluconazole resistance are not well known. Recently, however, a proteomic analysis study revealed a series of proteins associated with antifungal agent resistance [16]. In this study, we determined that cellular and membrane proteins are differentially expressed between fluconazole-susceptible and -resistant strains. A total of 31 proteins were identified by LC-MS/MS that are involved in glycolysis, carbohydrate transport, energy transfer, and other metabolic pathways. Heat shock protein was one of the most frequently identified cellular proteins. Fluconazole-resistant strains exhibited several downregulated proteins in the cellular fraction, while those in the membrane fraction were mostly upregulated. The overall fold change was narrow in the cellular proteins (1.6–2.5-fold), but was larger in the membrane proteins (1.9–4.4-fold), indicating that membrane proteins responded more severely to fluconazole-induced stress than cellular proteins. The expression of heat shock protein in the cellular fraction was decreased 2.31-fold; in the membrane fraction, heat shock protein 70 was increased by 2.98-fold and one stress response protein was increased by 3.98-fold. Usually, the expression of heat shock protein is not only regulated by temperature but also a range of noxious stimuli, including stress in general. Stress response protein has been previously associated with C glabrata biofilm formation. The association between fluconazole resistance and heat shock protein/ stress response protein expression should be further investigated in future studies.

Acknowledgements

This study was supported by an intramural research grant awarded to the Korea Centers for Disease Control and Prevention (2006-N44002-00).

1. Schmid J Tortorano AM Jones G et al.. Increasedmortality in young candidemia patients associated with presence of a Candida albicans general-purpose genotype. J Clin Microbiol 2011;49:3250−6.
Article
PubMed
PMC
PDF
2. Pfaller MA Diekema DJ. . Epidemiology of invasive candidiasis: a persistent public health problem. Clin Microbiol Rev 2007;20:133−63.
Article
PubMed
PMC
PDF
3. Krcmery V Barnes AJ. . Non-albicans Candida spp causing fungaemia: pathogenicity and antifungal resistance. J Hosp Infect 2002;50:243−60.
Article
PubMed
PDF
4. Wisplinghoff H Bischoff T Tallent SM et al.. Nosocomial bloodstream infections in US hospitals: analysis of 24,179 cases from a prospective nationwide surveillance study. Clin Infect Dis 2004;39(3). 309−17.
Article
PubMed
PDF
5. Tumbarello M Sanguinetti M Trecarichi EM et al.. Fungaemia caused by Candida glabrata with reduced susceptibility to fluconazole due to altered gene expression: risk factors, antifungal treatment and outcome. J Antimicrob Chemother 2008;62:1379−85.
Article
PubMed
PDF
6. Andes D Lepak A Nett J et al.. In vivo fluconazole pharmacodynamics and resistance development in a previously susceptible Candida albicans population examined by microbiologic and transcriptional profiling. Antimicrob Agents Chemother 2006;50:2384−94.
Article
PubMed
PMC
PDF
7. Masia Canuto M Gutierrez Rodero F . Antifungal drug resistance to azoles and polyenes. Lancet Infect Dis 2002;2:550−63.
Article
PubMed
PDF
8. Hachem R Hanna H Kontoyiannis D et al.. The changing epidemiology of invasive candidiasis: Candida glabrata and Candida krusei as the leading causes of candidemia in hematologic malignancy. Cancer 2008;112:2493−9.
Article
PubMed
PDF
9. Redding SW Kirkpatrick WR Saville S et al.. Multiple patterns of resistance to fluconazole in Candida glabrata isolates from a patient with oropharyngeal candidiasis receiving head and neck radiation. J Clin Microbiol 2003;41:619−22.
Article
PubMed
PMC
PDF
10. Chapeland-Leclerc F Hennequin C Papon N et al.. Acquisition of flucytosine, azole, and caspofungin resistance in Candida glabrata bloodstream isolates serially obtained from a hematopoietic stem cell transplant recipient. Antimicrob Agents Chemother 2010;54:1360−2.
Article
PubMed
PDF
11. Vermitsky JP Edlind TD . Azole resistance in Candida glabrata: coordinate upregulation of multidrug transporters and evidence for a Pdr1-like transcription factor. Antimicrob Agents Chemother 2004;48:3773−81.
Article
PubMed
PMC
PDF
12. Geber A Hitchcock CA Swartz JE et al.. Deletion of the Candida glabrata ERG3 and ERG11 genes: effect on cell viability, cell growth, sterol composition, and antifungal susceptibility. Antimicrob Agents Chemother 1995;39:2708−17.
Article
PubMed
PMC
PDF
13. Yoo JI Choi CW Lee KM et al.. National surveillance of antifungal susceptibility of Candida species in South Korean hospital. Med Mycol 2009;47:534−8.
PDF
14. Bahk YY Kim SA Kim JS et al.. Antigens secreted from Mycobacterium tuberculosis: identification by proteomics approach and test for diagnostic marker. Proteomics 2004;4:3299−307.
Article
PubMed
PDF
15. Gobom J Nordho E Mirgorodskaya E et al.. Sample purification and preparation technique based on nano-scale reversed-phase columns for the sensitive analysis of complex peptide mixtures by matrix-assisted laser desorption/ionization mass spectrometry. J Mass Spectrom 1999;34:105−16.
Article
PubMed
PDF
16. Loureiro Y Penha CV Kubitschek PH et al.. Proteomic analysis of cytosolic proteins associated with petite mutations in Candida glabrata. Braz J Med Biol Res 2010;43:1203−14.
Article
PubMed
PDF

Citations

Citations to this article as recorded by

Global prevalence and trends of fluconazole resistance in non-albicans Candida species: a systematic review and meta-analysis
Xuehua Li, Mohammad Sholeh, Mahya Abedi Moghadam, Mahshid Ostadrahimi, Seyedeh Sedigheh Hosseini
BMC Infectious Diseases.2026;[Epub] CrossRef
What ‘Omics can tell us about antifungal adaptation
Gabriela Fior Ribeiro, Eszter Denes, Helen Heaney, Delma S Childers
FEMS Yeast Research.2022;[Epub] CrossRef
Effects of antifungal agents on the fungal proteome: informing on mechanisms of sensitivity and resistance
Rebecca A. Owens, Sean Doyle
Expert Review of Proteomics.2021; 18(3): 185. CrossRef
HPLC-MS identification and expression of Candida drug-resistance proteins from African HIV-infected patients
Pedro M D S Abrantes, Randall Fisher, Patrick J D Bouic, Carole P McArthur, Burtram C Fielding, Charlene W J Africa
AIMS Microbiology.2021; 7(3): 320. CrossRef
Transcriptional responses of Candida glabrata biofilm cells to fluconazole are modulated by the carbon source
Rosana Alves, Stavroula L. Kastora, Alexandra Gomes-Gonçalves, Nuno Azevedo, Célia F. Rodrigues, Sónia Silva, Liesbeth Demuyser, Patrick Van Dijck, Margarida Casal, Alistair J. P. Brown, Mariana Henriques, Sandra Paiva
npj Biofilms and Microbiomes.2020;[Epub] CrossRef
Proteomics Analysis of Candida albicans dnm1 Haploid Mutant Unraveled the Association between Mitochondrial Fission and Antifungal Susceptibility
Thuyen Truong, Guisheng Zeng, Teck Kwang Lim, Tong Cao, Li Mei Pang, Yew Mun Lee, Qingsong Lin, Yue Wang, Chaminda Jayampath Seneviratne
PROTEOMICS.2020;[Epub] CrossRef
Membrane Proteome-Wide Response to the Antifungal Drug Clotrimazole in Candida glabrata: Role of the Transcription Factor CgPdr1 and the Drug:H+ Antiporters CgTpo1_1 and CgTpo1_2
Pedro Pais, Catarina Costa, Carla Pires, Kiminori Shimizu, Hiroji Chibana, Miguel C. Teixeira
Molecular & Cellular Proteomics.2016; 15(1): 57. CrossRef

Cite

CITE

export

Copy Download

Format
XML Download

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

RIS — For EndNote, ProCite, RefWorks, and most other reference management software
BibTeX — For JabRef, BibDesk, and other BibTeX-specific software

Include:

Citation for the content below
Citation and abstract for the content below

Proteomic Analysis of Cellular and Membrane Proteins in Fluconazole-Resistant Candida glabrata

Osong Public Health Res Perspect. 2012;3(2):74-78. Published online June 30, 2012

DOI: https://doi.org/10.1016/j.phrp.2012.04.001

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format: