Abstract
Microorganisms adapt to environmental conditions as a survival strategy for different interactions with the environment. The adaptive capacity of fungi allows them to cause disease at various sites of infection in humans. In this study, we propose digital images as responses of a complete factorial 23. Furthermore, we compared two experimental approaches: the experimental design (3D) and the checkerboard assay (2D) to know the influence of pH, glucose, and fluconazole concentration on different strains of the genus Candida. The digital images obtained from the factorial 23 were used as input in the PCA-ANOVA to analyze the results of this experimental design. pH modification in the culture medium modifies the susceptibility in some species less adapted to this type of modification. For the first time, to the best of our knowledge, digital images were used as input to PCA-ANOVA to obtain information on Candida spp.. Therefore, a higher concentration of antifungals is needed to inhibit the same strain at a lower pH. In short, we present an alternative with less use of reagents and time. In addition, the use of digital images allows obtaining information about fungal susceptibility with three or more factors.
Similar content being viewed by others
References
Bensen ES, Martin SJ, Li M, Berman J, Davis DA (2004) Transcriptional profiling in Candida albicans reveals new adaptive responses to extracellular pH and functions for Rim101p. Mol Microbiol 54(5):1335–1351. https://doi.org/10.1111/j.1365-2958.2004.04350.x
Chaturvedi V, Ramani R, Andes D, Diekema DJ, Pfaller MA, Ghannoum MA, Knapp C, Lockhart SR, Ostrosky-Zeichner L, Walsh TJ, Marchillo K, Messer S, Welshenbaugh AR, Bastulli C, Iqbal N, Paetznick VL, Rodriguez J, Sein T (2011) Multilaboratory testing of two-drug combinations of antifungals against Candida albicans, Candida glabrata, and Candida parapsilosis. Antimicrob Agents Chemother 55(4):1543–1548. https://doi.org/10.1128/AAC.01510-09
CLSI (2008) Reference method for broth dilution antifungal susceptibility testing of yeasts, 3rd ed M27–A3. Clinical and Laboratory Standards Institute, Wayne, PA.
Cokol M, Kuru N, Bicak E, Larkins-Ford J, Aldridge BB (2017) Efficient measurement and factorization of high-order drug interactions in Mycobacterium tuberculosis. Sci Adv 3(10):e1701881. https://doi.org/10.1126/sciadv.1701881
Cuenca-Estrella M, Díaz-Guerra TM, Mellado E, Rodríguez-Tudela JL (2001) Influence of glucose supplementation and inoculum size on growth kinetics and antifungal susceptibility testing of Candida spp. J Clin Microbiol 39(2):525–532. https://doi.org/10.1128/JCM.39.2.525-532.2001
Cunha DV, Salazar SB, Lopes MM, Mira NP (2017) Mechanistic Insights Underlying Tolerance to Acetic Acid Stress in Vaginal Candida glabrata Clinical Isolates. Front Microbiol 8(259): https://doi.org/10.3389/fmicb.2017.00259
Davis DA (2009) How human pathogenic fungi sense and adapt to pH: the link to virulence. Curr Opin Microbiol 12(4):365–370. https://doi.org/10.1016/j.mib.2009.05.006
de Vasconcellos AA, Gonçalves LM, Del Bel Cury AA, da Silva WJ (2014) Environmental pH influences Candida albicans biofilms regarding its structure, virulence and susceptibility to fluconazole. Microb Pathog 69–70:39–44. https://doi.org/10.1016/j.micpath.2014.03.009
Fernandes TR, Segorbe D, Prusky D, Di Pietro A (2017) How alkalinization drives fungal pathogenicity. PLOS Pathog 13(11):e1006621. https://doi.org/10.1371/journal.ppat.1006621
Ferreira C, Gonçalves B, Vilas Boas D, Oliveira H, Henriques M, Azeredo J, Silva S (2016) Candida tropicalis biofilm and human epithelium invasion is highly influenced by environmental pH. Pathog Dis 74(8):ftw101. https://doi.org/10.1093/femspd/ftw101
Gadea I, Cuenca M, Gegúndez MI, Zapardiel J, Valero ML, Soriano F (1997) Effect of pH and buffer system on the in-vitro activity of five antifungals against yeasts. J Antimicrob Chemother 39(4):453–459. https://doi.org/10.1093/jac/39.4.453
Harrington P de B, Vieira NE, Espinoza J, Nien J K, Romero R, Yergey AL (2005) Analysis of variance–principal component analysis: A soft tool for proteomic discovery. Anal Chim Acta, 544(1-2):118–127. https://doi.org/10.1016/j.aca.2005.02.042
Laverdiere M (2002) Adding 2% glucose to culture media does not influence the activity of caspofungin against Candida species. J Antimicrob Chemother 51(1):183–184. https://doi.org/10.1093/jac/dkg021
Marr KA, Rustad TR, Rex JH, White TC (1999) The trailing end point phenotype in antifungal susceptibility testing is pH dependent. Antimicrob Agents Chemother 43(6):1383–1386. https://doi.org/10.1128/AAC.43.6.1383
Mirmonsef P, Hotton AL, Gilbert D, Burgad D, Landay A, Weber KM, Cohen M, Ravel J, Spear GT (2014) Free Glycogen in Vaginal Fluids Is Associated with Lactobacillus Colonization and Low Vaginal pH. PLoS ONE 9(7):e102467. https://doi.org/10.1371/journal.pone.0102467
Odds FC (2003) Synergy, antagonism, and what the chequerboard puts between them. J Antimicrob Chemother 52(1):1. https://doi.org/10.1093/jac/dkg301
Osmani RAM, Kulkarni PK, Shanmuganathan S, Hani U, Srivastava A, Prenana M, Shinde CG, Bhosale RR (2016) A 32 full factorial design for development and characterization of a nanosponge-based intravaginal in situ gelling system for vulvovaginal candidiasis. RSC Adv 6(23):18737–18750. https://doi.org/10.1039/c5ra26218f
Peñalva MA, Lucena-Agell D, Arst HN (2014) Liaison alcaline: Pals entice non-endosomal ESCRTs to the plasma membrane for pH signaling. Curr Opin Microbiol 22:49–59. https://doi.org/10.1016/j.mib.2014.09.005
Rambali B, Fernandez JA, Van Nuffel L, Woestenborghs F, Baert L, Massart DL, Odds FC (2001) Susceptibility testing of pathogenic fungi with itraconazole: a process analysis of test variables. J Antimicrob Chemother 48(2):163–77. https://doi.org/10.1093/jac/48.2.163
Rodriguez-Tudela JL, Martinez-Suarez JV (1994) Improved medium for fluconazole susceptibility testing of Candida albicans. Antimicrob Agents Chemother 38(1):45–48. https://doi.org/10.1128/aac.38.1.45
Ruhil S, Kumar V, Balhara M, Malik M, Dhankhar S, Kumar M, Kumar Chhillar A (2014) In vitro evaluation of combination of polyenes with EDTA against Aspergillus spp. by different methods (FICI and CI Model). J Appl Microbiol 117(3):643–653. https://doi.org/10.1111/jam.12576
Schaller M, Borelli C, Korting HC, Hube B (2005) Hydrolytic enzymes as virulence factors of Candida albicans. Mycoses 48(6):365–377. https://doi.org/10.1111/j.1439-0507.2005.01165.x
Sun L, Liao K, Hang C (2018) Caffeic acid phenethyl ester synergistically enhances the antifungal activity of fluconazole against resistant Candida albicans. Phytomedicine 40:55–58. https://doi.org/10.1016/j.phymed.2017.12.033
Suzuki GT, Fleuri L, Macedo GA (2009) Influence of nitrogen and carbon sources on riboflavin production by wild strain of Candida sp. Food Bioproc Tech 5(2):466–473. https://doi.org/10.1007/s11947-009-0262-3
Vylkova S (2017) Environmental pH modulation by pathogenic fungi as a strategy to conquer the host. PLOS Pathog 13(2):e1006149. https://doi.org/10.1371/journal.ppat.1006149
Funding
This work was supported by Brazilian agencies Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (Public Notice Universal MCTI/CNPq No. 14/2013) and Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS—EDITAL 04/2016—PRONUPEQ 2016). A. M. Fuentefria is grateful to CNPq for the PQ fellowships.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by ÂRC, LCGB and AAG. The first draft of the manuscript was written by ÂRC, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
All authors declare that they have no conflict of interest.
Ethical approval
Not applicable.
Additional information
Communicated by Erko Stackebrandt.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Carvalho, Â.R., Bazana, L.C.G., A. Gomes, A. et al. A computer vision chemometric-assisted approach to access pH and glucose influence on susceptibility of Candida pathogenic strains. Arch Microbiol 204, 530 (2022). https://doi.org/10.1007/s00203-022-03145-9
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00203-022-03145-9