Coccidioidomycosis, or Valley Fever (VF), is a potentially lethal fungal infection that results in more than 200 deaths/year in the United States. Differential diagnosis and timely treatment of VF is made difficult due to presentation of vague symptoms that often mimic other pulmonary conditions. Accurate diagnosis therefore relies on a combination of clinical presentation, serology, radiography, histology and culture. These diagnostic methods are either costly, time‐consuming, invasive, or indeterminate. Previous studies have used MS‐based methods for the accurate diagnosis of similar fungal diseases as well as characterization of host‐fungal interactions. Herein, we present the first targeted plasma and urine liquid chromatography tandem mass spectrometry (LC‐MS/MS) profiling approach for the relatively non‐invasive, rapid and accurate detection of VF. In this targeted approach, 207 plasma metabolites and 231 urine metabolites were reliably detected using LC‐MS/MS. These metabolites, which are representative of more than 35 metabolic pathways of potential biological relevance, were monitored in 59 plasma samples and 88 urine samples acquired from excess clinical specimens taken from two groups of patients (48 VF patients and 99 non‐VF controls) at Mayo Clinic Arizona. Univariate and multivariate statistical analyses were performed to develop predictive plasma and urine biomarker panels. Pathway and enrichment analyses were performed to elucidate potential pathogenic mechanisms and therapeutic targets. Results of our univariate significance testing and multivariate model estimation informed the construction of a 3‐metabolite panel of plasma biomarkers ( q < 0.05 and VIP > 2; Fig 1) and a 9‐metabolite panel of urinary biomarkers ( q < 0.05 and VIP > 1; Fig 2). Receiver operating characteristic (ROC) curves (Fig 3) generated based on enhanced orthogonal partial least squares‐discriminant analysis (OPLS‐DA) models (Fig 4) showed excellent overall classification performance (99.5%), with 94.4% sensitivity and 97.6% specificity for plasma metabolites. Although urine metabolites were less accurate (92.5%), demonstrating 89.7% sensitivity and 88.1% specificity, they represent a substantial increase in diagnostic accuracy over currently available urinary antigen tests, which only report sensitivity of around 70%. Pathway analysis (Fig 5) and enrichment analysis (Fig 6) ubiquitously showed alterations in metabolic pathways related to fungal virulence, DNA/RNA synthesis and energy utilization, and host immune escape mechanisms. These results potentially reveal pathways or markers that could be targeted therapeutically. This study is the first‐ever MS‐based metabolomics approach for rapid and highly accurate diagnosis of VF. Support or Funding Information Support from the College of Health Solutions at Arizona State University, Arizona Biomedical Research Council (ABRC) grant# 16–162513 and American Achievement Rewards for College Scientists (ARCS) Foundation Award is gratefully acknowledged. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
Laser Capture Microdissection-Assisted Protein Biomarker Discovery from Coccidioides-Infected Lung Tissue
Laser capture microdissection (LCM) coupled to label-free quantitative mass spectrometry is a viable strategy to identify biomarkers from infected tissues. In this study, LCM was employed to take a “snapshot” of proteins produced in vivo during Coccidiodies spp. infection in human lungs. Proteomic analysis of LCM lung sections revealed hundreds of hosts and Coccidioidal proteins. Twenty-seven highly abundant Coccidioides spp. proteins were identified which do not share significant sequence orthology with human proteins. Three of the 27 Coccidioidal proteins are also potential Coccidoides-specific biomarkers, as they also do not share sequence homology to any other pathogenic fungus or microbe. Gene ontology analysis of the 27 biomarker candidate proteins revealed enriched hydrolase activity and increased purine and carbohydrate metabolism functions. Finally, we provide proteomic evidence that all 27 biomarker candidates are produced by the fungus when grown in vitro in a media- and growth-phase dependent manner.
Abstract 5323: Chemical inhibitors of quiescin sulfhydryl oxidase (QSOX1) suppress tumor invasion and metastasis
Abstract Purpose: Quiescin Sulfhydryl Oxidase 1 (QSOX1) is an enzyme over-expressed by tumor cells. Our group and others have shown that QSOX1 is involved in invasion and metastasis. We previously reported that a small molecule, SBI-183, inhibited the enzymatic activity of QSOX1 and suppressed tumor cell invasion in vitro and metastasis of MDA-MB-231 breast tumor cells in vivo. In our current work we tested SPX-009, an analog of SBI-183 with increased potency, to suppress invasion and metastasis in vitro and in vivo. Methods: Commercially available analogs for SBI-183 were screened in a cell-free fluorescent screening assay for the ability to inhibit QSOX1. Analog compounds that inhibited QSOX1 in a concentration-dependent manner were then tested for the ability to inhibit growth and invasion of triple negative breast cancer (TNBC) cells (MDA-MB-231), sarcomatoid kidney cancer cells (RCJ-41T2) and pancreatic adenocarcinoma cells (MIAPaCa2). MTT assays were used to measure the effect of the compounds on tumor growth. 2D invasion assays and 3D tumor spheroid assays were employed to measure the effect of the analogs on invasion. One potent analog (SPX-009) was evaluated for the ability to suppress tumor growth and metastasis in mice bearing MDA-MB-231-luc breast cancer orthotopic xenografts. Results: Three of 53 analogs inhibited the enzymatic activity of QSOX1 at levels similar to the parent compound. However, one of those compounds, SPX-009, suppressed invasion of breast, kidney and pancreas tumor cells in 2D and 3D invasion assays at >10-fold lower concentrations than the parent compound (SBI-183). In a non-metastatic xenograft of kidney cancer SBI-183 suppressed primary kidney tumor growth by 51%, but in a metastatic xenograft breast cancer model (MDA-MB-231-luc TNBC), SBI-183 reduced lung metastasis by 76% compared to control. Human-mouse xenograft studies are ongoing with the more potent analog (SPX-009) and will also be presented. Conclusions: Chemical inhibitors of QSOX1 have a minor effect on tumor cell viability, but a major effect on tumor cell invasion in vitro and metastasis in vivo. This finding suggests that combining a QSOX1 inhibitor with a cytotoxic agent might provide a means to inhibit metastasis of cells that are resistant to cytotoxic agents. Citation Format: Amber Fifield, Thai H. Ho, Douglas O. Faigel, Sergei Svarovsky, Eduard Sergienko, Thomas C. Chung, Douglas F. Lake. Chemical inhibitors of quiescin sulfhydryl oxidase (QSOX1) suppress tumor invasion and metastasis [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5323.
Carbo-loading in Coccidioides spp.: a quantitative analysis of CAZyme abundance and resulting glycan populations
Abstract Coccidioides spp. are important pneumonia-causing pathogens of the American southwest, but little is known about their glycobiology and how their glycosylations differ from other pneumonia-causing fungi. There is mounting preliminary evidence to suggest genus or even species-specific glycosylations in the fungal kingdom due to the presence of unique Carbohydrate-Active Enzymes (CAZymes) in fungal genomes (Deshpande and others 2008; Karkowska-Kuleta and Kozik 2015). If Coccidioides spp.-specific glycans can be identified, it may be possible to exploit these differences to develop more specific diagnostic approaches and more effective therapeutics. Herein we i) mined Coccidioides spp. and other pathogenic fungal genomes to identify CAZymes specific for Coccidiodes spp., ii) proteomically determined the Coccidioides spp. “CAZome” produced in vivo and in vitro, and iii) utilized glycomics to differentiate Coccidioides genus-specific N-glycans from other pathogenic fungi. As far as we are aware, this is the first proteomic and glycomic comparison of the N-glycomes and CAZomes of different fungal genera during infection in human hosts.
Molecular Inhibitor of QSOX1 Suppresses Tumor Growth
In Vivo
Abstract Quiescin sulfhydryl oxidase 1 (QSOX1) is an enzyme overexpressed by many different tumor types. QSOX1 catalyzes the formation of disulfide bonds in proteins. Because short hairpin knockdowns (KD) of QSOX1 have been shown to suppress tumor growth and invasion in vitro and in vivo, we hypothesized that chemical compounds inhibiting QSOX1 enzymatic activity would also suppress tumor growth, invasion, and metastasis. High throughput screening using a QSOX1-based enzymatic assay revealed multiple potential QSOX1 inhibitors. One of the inhibitors, known as “SBI-183,” suppresses tumor cell growth in a Matrigel-based spheroid assay and inhibits invasion in a modified Boyden chamber, but does not affect viability of nonmalignant cells. Oral administration of SBI-183 inhibits tumor growth in 2 independent human xenograft mouse models of renal cell carcinoma. We conclude that SBI-183 warrants further exploration as a useful tool for understanding QSOX1 biology and as a potential novel anticancer agent in tumors that overexpress QSOX1.
Coccidioidomycosis Detection Using Targeted Plasma and Urine Metabolic Profiling
AbstractThe aims of this study are to provide protein‐based evidence upon which to reannotate the genome of Coccidiodes posadasii, one of two closely related species of Coccidioides, a dimorphic fungal pathogen that causes coccidioidomycosis, also called Valley fever. Proteins present in lysates and filtrates of in vitro grown mycelia and parasitic phase spherules from C. posadasii strain Silveira are analyzed using a GeLC‐MS/MS method. Acquired spectra are processed with a proteogenomics workflow comprising a Silveira proteome database, a six‐frame translation of the Silveira genome and an ab initio gene prediction tool prior to validation against published ESTs. This study provides evidence for 837 genes expressed at the protein level, of which 169 proteins (20.2%) are putative proteins and 103 (12.3%) are not annotated in the Silveira genome. Additionally, 275 novel peptides are derived from intragenic regions of the genome and 13 from intergenic regions, resulting in 172 gene refinements. Additionally, we are the first group to report translationally active retrotransposon elements in a Coccidioides spp. Our study reveals that the currently annotated genome of C. posadasii str. Silveira needs refinement, which is likely to be the case for many nonmodel organisms.
Total and Lectin-Binding Proteome of Spherulin from Coccidioides posadasii