Abstract

Introduction

Results
Fungal structures in AD CNS
One of the most direct approaches to detect fungal infection in the CNS is the visualisation of fungi in tissue sections. It is well established that the hierarchical pattern of neurofibrillary degeneration and thus the early pathological lessions in AD patients generally starts by modifications in the entorhinal cortex, followed by the hippocampus, association cortex and finally the primary neocortex11. We first analysed fixed sections from different regions of the CNS from one AD patient (AD1) and a control individual (C1) (Supplementary Table I). The regions examined were external frontal cortex (EFC), cerebellar hemisphere (CEH), entorhinal cortex/hippocampus (ERH) and choroid plexus (CP). Notably, fungal cells were detected in the four regions examined from patient AD1 as demonstrated by immunohistochemistry and confocal microscopy using anti-C. glabrata antibodies (Fig. 1). In some instances, fungal cells were clearly visible inside neurons and exhibited an intranuclear location as indicated by counterstaining with the DNA stain, 4’6-diamidino-2-phenylindole (DAPI). The size of the fungal bodies was variable; in some instances, the size was 1–2 μm, whereas the diameter of other fungal bodies was greater (approximately 5–10 μm). In other instances, smaller fungal bodies of 0.4–1 μm were evident depending on the field analysed. The 0.4–1 and the 1–2 μm-sized bodies are similar to those previously reported for some intracellular yeast cells30,31,32. These intracellular forms are known as endomycosomes29,33. Endothelial cells in the CP may also contain fungal bodies. No fungal cells or fungal material were apparent in the different CNS regions from the control (C1) individual (Fig. 1). Curiously, immunostaining of tau protein with specific antibodies localised tau not only in the cytoplasm, but also in the nucleus in both AD1 and C1 sections. This finding is consistent with the observation that nuclear pores are damaged in elderly people, particularly with neurodegenerative diseases and cytoplasmic proteins can relocate to the nucleus34,35. Nuclear tau protein staining was very strong in neurons where intranuclear fungal bodies were detected.Detection of fungal cells and hyphae using different anti-fungal antibodies
It must be kept in mind that the immunoreactivity observed with anti-C. glabrata antibodies does not necessarily mean that this yeast is present. Because the antibodies employed are rabbit polyclonal, they can crossreact with a number of proteins from other fungi. The spectrum of proteins recognised by the different anti-fungal antibodies employed in this work vary and depend on the fungal species present in each case. However, these anti-fungal antibodies do not crossreact with cellular proteins from control individuals. To further assess whether fungal cells were present in patient AD1, we carried out immunohistochemistry analysis using rabbit polyclonal antibodies raised against other fungi. Four additional antibodies (raised against C. famata, C. albicans. P. betae and S. racemosum) detected fungal components (green) in the tissue sections analysed (Fig. 2), as demonstrated by double staining with an anti-neurofilament antibody (red). As indicated previously, the size of the fungal cells detected with the antibodies varied. The additional antibodies also detected long fibrilar structures clearly resembling fungal hyphae, with sizes ranging from 0.1 μm to 1–2 μm. The variety of sizes and morphologies observed in these sections using different anti-fungal antibodies is consistent with the notion that several fungal species were present in the three CNS regions examined. Analyses of tissue sections from C1 using these antibodies failed to reveal any fungal material (results not shown). The possibility that these antibodies recognise human proteins present only in CNS samples from patient AD1 and form structures that resemble different fungal morphologies is unlikely. To further test the presence of fungal proteins in patient AD1, we extracted proteins from different CNS regions of AD1 and C1 and performed western blotting with anti-C. albicans antibodies (Supplementary Figure 4). No specific protein bands were detected by this technique, most probably due to the fact that the amount of fungal proteins is extremely low. To unequivocally identify fungal proteins in brain tissue from AD patients, proteomic methodologies are required as we have previously reported28. Using this approach, we have detected several fungal proteins that are present in CNS samples from AD patients, but not in control individuals.Fungal infection of the neurovascular system
The majority of AD patients exhibit pathological lesions of the vascular system in the CNS16,36. Up to 90% of AD patients present various cerebrovascular pathologies, including cerebral amyloid angiopathy, microinfarcts, haemorrhages and microvascular degeneration. Accordingly, deposits of amyloid β in the walls of capillaries, small arterioles and medium-size arteries are evident in most AD patients studied. These amyloid deposits give rise to cerebral amyloid angiopathy. We reasoned that if fungal infection is present in blood vessels, it might induce the formation of amyloid deposits and angiopathy. To assess fungal infection in blood vessels from EFC, ERH and CP regions, we carried out confocal immunofluorescence analysis. Fungal cells of different sizes and hyphae were detected inside capillaries and other blood vessels (Fig. 5). Some staining was also evident in the vessel walls, demonstrating that fungal infection can be detected in the neurovascular system. Also, the CP region from patient AD1 (Fig. 5), but not from C1 (Supplementary Figure 6), contained fungal cells and hyphae that immunoreacted with the different anti-fungal antibodies. These results are in good agreement with the notion that several fungal species can infect blood vessels and cause pathological modifications37,38,39. These studies were extended to the analysis of the CP region from three additional AD patients (AD12, 13, 14) using several anti-fungal antibodies., Consistent with the previous result, fungal material was detected in all three cases examined, but not in the control (Supplementary Figure 6). In conclusion, fungal structures can be observed also in the vascular system of AD patients.Identification of fungal species in the different CNS regions
DNA amplification and sequencing is the most precise approach to determine specific fungal species present in CNS tissues. Because the vast majority of DNA from tissue samples is human, we previously developed a sensitive nested PCR assay to amplify fungal DNA present in very minor amounts28,33,40,41. We recently used this tecnhnique successfully to identify several fungal species in brain samples from AD patients40. To identify the fungal species present in the different brain regions of patient AD1, we extracted DNA from frozen tissue and performed PCR using primers that amplify two internal transcribed spacers (ITS-1 and ITS-2) located between ribosomal RNA genes (see scheme, Supplementary Figure 7). Several different PCR assays were carried out since in our experience the use of several primer pairs ensures the amplification of DNA from different fungal species. We first amplified ITS-1 with primers ITS-1 (external) and then three different PCR assays were subsequently performed with internal primer pairs (ITS-1, internal). In addition, ITS-2 was first amplified with primers ITS-2 (external) followed by a second PCR with an ITS-2 (internal) primer pair. DNA amplified by each PCR was separated on agarose gels and we sequenced the extracted fragments. A typical PCR result after amplification of the ITS-1 using DNA extracted from the different CNS regions of patient AD1 and C1 is shown in Supplementary Figure 7. No PCR products were amplified from DNA extracted from the different regions of C1, or from controls for DNA extraction and PCR. These findings reveal that no fungal contamination occurred in the PCR assay or during DNA extraction. Sequencing of each fragment from the four PCR assays using DNA from patient AD1 revealed a number of fungal species as listed in Table 1. Of note, several species could be detected from the same region, supporting the concept of mixed fungal infection. Conversely, no single fungal species was present in all four regions of the CNS examined. Of note, some of the species detected, such as Malasezzia spp., Phoma and S. cerevisiae, have been previously identified in AD brains40. Significantly, the majority of the species listed in Table 1 are described as human pathogens42,43. The possibility that different fungal species or a combination of species serves as a risk factor or represents the cause of AD might explain the diversity observed in the evolution and severity of clinical symptoms in each AD patient.Discussion
Materials and Methods
Description of patients and control individuals
In this study, we analysed both frozen and paraffin-fixed samples of tissue obtained from brain donors diagnosed with AD and control individuals. Details about the age and gender of each patient are listed in Supplementary Table I. All samples were supplied by Banco de Tejidos, Fundación CIEN (Centro de Investigación de Enfermedades Neurológicas, Madrid. Spain). The ethics committee of Universidad Autónoma de Madrid approved the study. The transfer of samples was performed according to national regulations concerning research on human biological samples. For all cases, written informed consent is available. All ethico-legal documents of the brain bank, including written informed consent, have been approved by an ethics committee external to the bank. The donors were anonymous to the investigators who participated in the study.Antifungal antibodies
Fungi were cultured as described29,33. After autoclaving and lyophilisation of fungal cells, rabbit antisera against Candida famata, C. albicans, C. glabrata, Phoma betae and Syncephalastrum racemosum were obtained by inoculation of 1 or 2 mg of dried fungi in 0.5 ml PBS, previously mixed with an equal volume of Freund’s adjuvant. Rabbits were inoculated up to three times every three weeks and the antibody titre and specificity of the sera were tested by immunohistochemistry and immunoblotting using fungal proteins. The protocols employed were approved by the ethics committee of Centro de Biologia Molecular “Severo Ochoa” (identification number: ES280790000180).Immunohistochemistry analysis
Tissue sections from the CNS (5 μm) were fixed in 10% buffered formalin for 24 h and then embedded in paraffin following standard protocols. For immunohistochemical analysis, paraffin was removed and tissues were rehydrated and boiled for 2 min in citrate buffer and then incubated for 10 min with 50 mM ammonium chloride. Subsequently, tissue sections were incubated for 10 min with PBS/Triton X-100 (0.1%) followed by 20 min with PBS/BSA (2%). Sections were incubated overnight at 4 °C with a mouse monoclonal antibody raised against human α-tubulin (Sigma), human phospho-PHF-tau, clone AT100 (Thermo Scientific), or human neurofilament protein, clone 2F11 (Dako), all at 1:50 dilution, or a rabbit polyclonal antibody raised against proteins obtained from C. glabrata, C. famata, C. albicans, P. betae and S. racemosum at 1:500 dilution. Thereafter, sections were washed with PBS and further incubated for 1 h at 37 °C with donkey anti-mouse IgG secondary antibody conjugated to Alexa 555 (Invitrogen) for α-tubulin, TT100 and neurofilament and donkey anti-rabbit IgG secondary antibody conjugated to Alexa 488 (Invitrogen) at 1:500 dilution for C. glabrata, C. famata, C. albicans, P. betae and S. racemosum. Subsequently, tissue sections were stained with DAPI (Merck) and samples were treated with autofluorescence eliminator reagent (Merck). All images were collected and analysed with a LSM710 confocal laser scanning microscope combined with the upright microscope stand AxioImager. M2 (Zeiss) running Zeiss ZEN 2010 software. The spectral system employed was Quasar + 2 PMTs. Images were deconvoluted using Huygens software (4.2.2 p0 Scientific Volume Imaging) and visualised with Fiji/Image J.Analysis of proteins by western blotting
Protein extracts of EFC, CEH and ERH of AD1 and C1 were collected in sample buffer, boiled for 5 min and resolved by SDS-PAGE. After electrophoresis, proteins were transferred to a nitrocellulose membrane. Specific rabbit polyclonal antibodies raised against C. albicans were used at 1:1000 dilution. Anti-rabbit immunoglobulin G antibody coupled to peroxidase (Amersham) was used at a 1:5000 dilution. Protein bands were visualised with the ECL detection system (Amersham).DNA Extraction from frozen CNS tissue
DNA was extracted from frozen samples of different CNS regions using the QIAmp (Qiagen) Genomic DNA Isolation Kit as follows: 20 μl proteinase K (>600 mAU/ml) and 180 μl of buffer ATL were added to 25 mg of brain tissue, followed by pulse-vortexing for 15 s. Digestion was carried out at 56 °C for 1–3 h with agitation. Subsequently, 200 μl of buffer AL was added to each sample followed by vortexing for 15 s and incubation at 70 °C for 10 min. A 200 μl volume of ethanol was then added to each sample followed by vortexing for 15 s. The mixture was applied to the QIAamp Mini spin column and centrifuged at 8000 rpm for 1 min. Then, 500 μl buffer AW was applied to the column followed by centrifugation at 8000 rpm for 1 min. After a final wash step with 500 μl of buffer AW2 (14000 rpm for 3 min), samples were collected in 40 μl distilled water and DNA was quantified in a NanoDrop® ND-1000 UV-Vis spectrophotometer. Negative controls included three samples of tri-distilled filtered water.Design of oligonucleotides
For ITS oligonucleotides, the gene sequences of 5.8S, 18S and 28S rRNA as well as internal transcribed spacer regions (ITS-1 and ITS-2) from several organisms (C. albicans, C. famata, C. parapsilosis, C. glabrata, Rhodotorula mucilaginosa, Pichia guilliermondii, Cryptococcus neoformans and Homo sapiens) were accessed via the GenBank database and were aligned using Clustal W sequence analysis package. Multiple potential primer-binding sites for primer pairs were chosen by comparing regions of Candida homologous with regions of the fungal group within the fungal kingdom with the most divergent DNA sequences and regions of Candida incongruous with the human DNA sequence. Primer selection was optimised for melting temperature equivalence, lack of duplex, hairpin, or primer-dimer formation and internal stability using OLIGO software (Amplify).Nested PCR
A number of measures were used to avoid PCR contamination including the use of separate rooms and glassware supplies for PCR set-up and products, aliquoted reagents, positive-displacement pipettes, aerosol-resistant tips and multiple negative controls. DNA samples obtained from frozen CNS tissue were analysed by nested PCR using several primer pairs. To amplify the ITS-1 region, the first PCR was carried out with 4 μl of DNA incubated at 95 °C for 10 min followed by 30 cycles of 45 s at 94 °C, 1 min at 57.3 °C and 45 s at 72 °C. Oligonucleotides used in the first PCR were forward ITS-1 (external 5′): 14485′GTTCTGGGCCGCACGGG 3′1465 and reverse ITS-1 (external 3′): 106R5′GGCAAAGATTCGATGATT3′88R. The second PCR was carried out using one of three primer sets. The second PCR was performed using 0.5 μl of the product obtained in the first PCR and ITS-1 (internal) primers for 30 cycles of 45 s at 94 °C, 1 min at 52 °C and 45 s at 72 °C. Oligonucleotides used were forward ITS-1 (internal 1-5′): 17815′CCTGCGGAAGGATCA3′1798 and reverse ITS-1 (internal 1-3′): 20R5′GATCCGTTGTTGAAA3′5R. As an alternate second PCR, ITS-1 (internal 2) primers were used. The second PCR was carried out with 0.5 μl of the product obtained in the first PCR and ITS-1 (internal 2) primers for 35 cycles of 45 s at 94 °C, 1 min at 55 °C and 45 s at 72 °C. Oligonucleotides used were forward ITS-1 (internal 2-5′): 17715´TCCGTAGGTGAACCTGCGG3′1790 and reverse ITS-1 (internal 2-3′): 50R5′GCTGCGTTCATCGATGC3′30R. The third PCR was carried out using the same conditions as the ITS-1 (internal 1) reaction with the primers forward ITS-1 (internal 3-5′): 16145′CTACTACCGATTGAATGGC3′1634 and reverse ITS-1 (internal 3-3′): 2145′CAATTCATATTACGTATCGCA3′193. Finally, the fourth PCR assay was designed to amplify the ITS-2 region. The first PCR assay was carried out with 4 μl of DNA incubated at 95 °C for 10 min followed by 20 cycles of 45 s at 94 °C, 1 min at 52 °C and 45 s at 72 °C. Oligonucleotides used in the first PCR were forward ITS-2 (external 5′): 1525′TTTCAACAACGGATCTC3′169 and reverse ITS-2 (external 3′): 8585′AGTACGGGATTCTCACCCTC3′838. The second PCR was carried out with 0.5 μl of the product obtained in the first PCR and ITS-2 (internal 1) primers for 25 cycles of 45 s at 94 °C, 1 min at 55 °C and 45 s at 72 °C. Oligonucleotides used were forward ITS-2 (internal 1-5′): 2745′GCATCGATGAAGAACGCAGC3′295 and reverse ITS-2 (internal 1-3′): 572R5´TCCTCCGCTTATTGATATGC3′552R. The human β-globin gene served as a control for DNA extraction. PCR was carried out with 4 μl of DNA incubated at 95 °C for 10 min and amplified with 42 cycles of 45 s at 94 °C, 1 min at 60 °C and 45 s at 72 °C. Oligonucleotides used were 5′GGTTGGCCAATCTACTCCCAGG 3′ and 3′ GCTCACTCAGTGTGGCAAAG 5′. Amplified DNA products were analysed by agarose gel electrophoresis and stained with ethidium bromide.Additional Information
References
-
Mackenzie, I. R., Neumann, M., Cairns, N. J., Munoz, D. G. & Isaacs, A. M. Novel types of frontotemporal lobar degeneration: beyond tau and TDP-43. J Mol Neurosci 45, 402–408 (2011).
-
Roussel, B. D. et al. Endoplasmic reticulum dysfunction in neurological disease. Lancet Neurol 12, 105–118 (2013).
-
Soto, C. Unfolding the role of protein misfolding in neurodegenerative diseases. Nat Rev Neurosci 4, 49–60 (2003).
-
Krstic, D. & Knuesel, I. Deciphering the mechanism underlying late-onset Alzheimer disease. Nat Rev Neurol 9, 25–34 (2013).
-
Revett, T. J., Baker, G. B., Jhamandas, J. & Kar, S. Glutamate system, amyloid ss peptides and tau protein: functional interrelationships and relevance to Alzheimer disease pathology. J Psychiatry Neurosci 38, 6–23 (2013).
-
Agostinho, P., Pliassova, A., Oliveira, C. R. & Cunha, R. A. Localization and Trafficking of Amyloid-beta Protein Precursor and Secretases: Impact on Alzheimer’s Disease. J Alzheimers Dis 45, 329–347 (2015).
-
O’Brien, R. J. & Wong, P. C. Amyloid precursor protein processing and Alzheimer’s disease. Annu Rev Neurosci 34, 185–204 (2011).
-
Claeysen, S. et al. Alzheimer culprits: cellular crossroads and interplay. Cell Signal 24, 1831–1840 (2012).
-
Kaur, U. et al. Reactive Oxygen Species, Redox Signaling and Neuroinflammation in Alzheimer’s Disease: The NF-kappaB Connection. Curr Top Med Chem 15, 446–457 (2015).
-
Tanzi, R. E. The synaptic Abeta hypothesis of Alzheimer disease. Nat Neurosci 8, 977–979 (2005).
-
Serrano-Pozo, A., Frosch, M. P., Masliah, E. & Hyman, B. T. Neuropathological alterations in Alzheimer disease. Cold Spring Harb Perspect Med 1, a006189 (2011).
-
Giacobini, E. & Gold, G. Alzheimer disease therapy–moving from amyloid-beta to tau. Nat Rev Neurol 9, 677–686 (2013).
-
Hampel, H. et al. Advances in the therapy of Alzheimer’s disease: targeting amyloid beta and tau and perspectives for the future. Expert Rev Neurother 15, 83–105 (2015).
-
Teich, A. F. & Arancio, O. Is the amyloid hypothesis of Alzheimer’s disease therapeutically relevant? Biochem J 446, 165–177 (2012).
-
Grammas, P. Neurovascular dysfunction, inflammation and endothelial activation: implications for the pathogenesis of Alzheimer’s disease. J Neuroinflammation 8, 26 (2011).
-
Murray, I. V., Proza, J. F., Sohrabji, F. & Lawler, J. M. Vascular and metabolic dysfunction in Alzheimer’s disease: a review. Exp Biol Med (Maywood) 236, 772–782 (2011).
-
Michaud, M. et al. Proinflammatory cytokines, aging and age-related diseases. J Am Med Dir Assoc 14, 877–882 (2013).
-
Morales, I., Farias, G. & Maccioni, R. B. Neuroimmunomodulation in the pathogenesis of Alzheimer’s disease. Neuroimmunomodulation 17, 202–204 (2010).
-
Rubio-Perez, J. M. & Morillas-Ruiz, J. M. A review: inflammatory process in Alzheimer’s disease, role of cytokines. ScientificWorldJournal 2012, 756357 (2012).
-
Sardi, F. et al. Alzheimer’s disease, autoimmunity and inflammation. The good, the bad and the ugly. Autoimmun Rev 11, 149–153 (2011).
-
De Chiara, G. et al. Infectious agents and neurodegeneration. Mol Neurobiol 46, 614–638 (2012).
-
Itzhaki, R. F., Wozniak, M. A., Appelt, D. M. & Balin, B. J. Infiltration of the brain by pathogens causes Alzheimer’s disease. Neurobiol Aging 25, 619–627 (2004).
-
Maheshwari, P. & Eslick, G. D. Bacterial infection and Alzheimer’s disease: a meta-analysis. J Alzheimers Dis 43, 957–966 (2015).
-
Bibi, F. et al. Link between chronic bacterial inflammation and Alzheimer disease. CNS Neurol Disord Drug Targets 13, 1140–1147 (2014).
-
Itzhaki, R. F. Herpes simplex virus type 1 and Alzheimer’s disease: increasing evidence for a major role of the virus. Front Aging Neurosci 6, 202 (2014).
-
Miklossy, J. Chronic inflammation and amyloidogenesis in Alzheimer’s disease – role of Spirochetes. J Alzheimers Dis 13, 381–391 (2008).
-
Soscia, S. J. et al. The Alzheimer’s disease-associated amyloid beta-protein is an antimicrobial peptide. PLoS One 5, e9505 (2010).
-
Alonso, R. et al. Fungal infection in patients with Alzheimer’s disease. J Alzheimers Dis 41, 301–311 (2014).
-
Pisa, D., Alonso, R., Juarranz, A., Rabano, A. & Carrasco, L. Direct visualization of fungal infection in brains from patients with Alzheimer’s disease. J Alzheimers Dis 43, 613–624 (2015).
-
Coelho, C., Bocca, A. L. & Casadevall, A. The intracellular life of Cryptococcus neoformans. Annu Rev Pathol 9, 219–238 (2014).
-
Pacheco, M., Pisa, D., Garcia-Gomez, P., Carrasco, L. & Juarranz, A. Attachment and entry of Candida famata in monocytes and epithelial cells. Microsc Res Tech 70, 975–986 (2007).
-
Rai, M. N. et al. Establishment of an in vitro system to study intracellular behavior of Candida glabrata in human THP-1 macrophages. J Vis Exp. 82, e50625 (2013).
-
Alonso, R. et al. Evidence for fungal infection in cerebrospinal fluid and brain tissue from patients with amyotrophic lateral sclerosis. Int J Biol Sci 11, 546–558 (2015).
-
D’Angelo, M. A., Raices, M., Panowski, S. H. & Hetzer, M. W. Age-dependent deterioration of nuclear pore complexes causes a loss of nuclear integrity in postmitotic cells. Cell 136, 284–295 (2009).
-
Woulfe, J. M. Abnormalities of the nucleus and nuclear inclusions in neurodegenerative disease: a work in progress. Neuropathol Appl Neurobiol 33, 2–42 (2007).
-
Kalaria, R. N., Akinyemi, R. & Ihara, M. Does vascular pathology contribute to Alzheimer changes? J Neurol Sci 322, 141–147 (2012).
-
Kim, K. S. Microbial translocation of the blood-brain barrier. Int J Parasitol 36, 607–614 (2006).
-
Somer, T. & Finegold, S. M. Vasculitides associated with infections, immunization and antimicrobial drugs. Clin Infect Dis 20, 1010–1036 (1995).
-
Younger, D. S. Vasculitis of the nervous system. Curr Opin Neurol 17, 317–336 (2004).
-
Alonso, R., Pisa, D., Rabano, A. & Carrasco, L. Alzheimer’s disease and disseminated mycoses. Eur J Clin Microbiol Infect Dis 33, 1125–1132 (2014).
-
Pisa, D., Alonso, R., Jimenez-Jimenez, F. J. & Carrasco, L. Fungal infection in cerebrospinal fluid from some patients with multiple sclerosis. Eur J Clin Microbiol Infect Dis 32, 795–801 (2013).
-
Guarro, J., Gene, J & Stchigel, A.M. Developments in fungal taxonomy. Clin Microbiol Rev 12, 454–500 (1999).
-
Kourbeti, I. S. & Mylonakis, E. Fungal central nervous system infections: prevalence and diagnosis. Expert Rev Anti Infect Ther 12, 265–273 (2014).
-
Castellani, R. J. et al. Chitin-like polysaccharides in Alzheimer’s disease brains. Curr Alzheimer Res 2, 419–423 (2005).
-
Sotgiu, S., Musumeci, S., Marconi, S., Gini, B. & Bonetti, B. Different content of chitin-like polysaccharides in multiple sclerosis and Alzheimer’s disease brains. J Neuroimmunol 197, 70–73 (2008).
-
Castellani, R. J., Perry, G. & Smith, M. A. The role of novel chitin-like polysaccharides in Alzheimer disease. Neurotox Res 12, 269–274 (2007).
-
Choi, J., Lee, H. W. & Suk, K. Plasma level of chitinase 3-like 1 protein increases in patients with early Alzheimer’s disease. J Neurol 258, 2181–2185 (2011).
-
Rosen, C. et al. Increased Levels of Chitotriosidase and YKL-40 in Cerebrospinal Fluid from Patients with Alzheimer’s Disease. Dement Geriatr Cogn Dis Extra 4, 297–304 (2014).
-
Watabe-Rudolph, M. et al. Chitinase enzyme activity in CSF is a powerful biomarker of Alzheimer disease. Neurology 78, 569–577 (2012).
-
Wildsmith, K. R. et al. Identification of longitudinally dynamic biomarkers in Alzheimer’s disease cerebrospinal fluid by targeted proteomics. Mol Neurodegener 9, 22 (2014).
-
Ala, T. A., Doss, R. C. & Sullivan, C. J. Reversible dementia: a case of cryptococcal meningitis masquerading as Alzheimer’s disease. J Alzheimers Dis 6, 503–508 (2004).
-
Hoffmann, M., Muniz, J., Carroll, E. & De Villasante, J. Cryptococcal meningitis misdiagnosed as Alzheimer’s disease: complete neurological and cognitive recovery with treatment. J Alzheimers Dis 16, 517–520 (2009).
-
Espinosa, V. & Rivera, A. Cytokines and the regulation of fungus-specific CD4 T cell differentiation. Cytokine 58, 100–106 (2012).
-
Gozalbo, D., Maneu, V. & Gil, M. L. Role of IFN-gamma in immune responses to Candida albicans infections. Front Biosci (Landmark Ed) 19, 1279–1290 (2014).
-
Romani, L. Immunity to fungal infections. Nat Rev Immunol 4, 1–23 (2004).
-
Lionakis, M. S., Netea, M. G. & Holland, S. M. Mendelian genetics of human susceptibility to fungal infection. Cold Spring Harb Perspect Med 4, a019638 (2014).
-
Smeekens, S. P., van de Veerdonk, F. L., Kullberg, B. J. & Netea, M. G. Genetic susceptibility to Candida infections. EMBO Mol Med 5, 805–813 (2013).
-
Andes, D. Optimizing antifungal choice and administration. Curr Med Res Opin 29 Suppl 4, 13–18 (2013).
-
Bellmann, R. Pharmacodynamics and pharmacokinetics of antifungals for treatment of invasive aspergillosis. Curr Pharm Des 19, 3629–3647 (2013).
-
Black, K. E. & Baden, L. R. Fungal infections of the CNS: treatment strategies for the immunocompromised patient. CNS Drugs 21, 293–318 (2007).
-
Traunmuller, F., Popovic, M., Konz, K. H., Smolle-Juttner, F. M. & Joukhadar, C. Efficacy and safety of current drug therapies for invasive aspergillosis. Pharmacology 88, 213–224 (2011).