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Birhanu AG. Mass spectrometry-based proteomics as an emerging tool in clinical laboratories. Clin Proteomics 2023; 20:32. [PMID: 37633929 PMCID: PMC10464495 DOI: 10.1186/s12014-023-09424-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 08/03/2023] [Indexed: 08/28/2023] Open
Abstract
Mass spectrometry (MS)-based proteomics have been increasingly implemented in various disciplines of laboratory medicine to identify and quantify biomolecules in a variety of biological specimens. MS-based proteomics is continuously expanding and widely applied in biomarker discovery for early detection, prognosis and markers for treatment response prediction and monitoring. Furthermore, making these advanced tests more accessible and affordable will have the greatest healthcare benefit.This review article highlights the new paradigms MS-based clinical proteomics has created in microbiology laboratories, cancer research and diagnosis of metabolic disorders. The technique is preferred over conventional methods in disease detection and therapy monitoring for its combined advantages in multiplexing capacity, remarkable analytical specificity and sensitivity and low turnaround time.Despite the achievements in the development and adoption of a number of MS-based clinical proteomics practices, more are expected to undergo transition from bench to bedside in the near future. The review provides insights from early trials and recent progresses (mainly covering literature from the NCBI database) in the application of proteomics in clinical laboratories.
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Krieger AC, Macias LA, Goodman JC, Brodbelt JS, Eberlin LS. Mass Spectrometry Imaging Reveals Abnormalities in Cardiolipin Composition and Distribution in Astrocytoma Tumor Tissues. Cancers (Basel) 2023; 15:2842. [PMID: 37345179 PMCID: PMC10216144 DOI: 10.3390/cancers15102842] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/25/2023] [Accepted: 05/02/2023] [Indexed: 06/23/2023] Open
Abstract
Cardiolipin (CL) is a mitochondrial lipid with diverse roles in cellular respiration, signaling, and organelle membrane structure. CL content and composition are essential for proper mitochondrial function. Deranged mitochondrial energy production and signaling are key components of glial cell cancers and altered CL molecular species have been observed in mouse brain glial cell xenograft tumors. The objective of this study was to describe CL structural diversity trends in human astrocytoma tumors of varying grades and correlate these trends with histological regions within the heterogeneous astrocytoma microenvironment. To this aim, we applied desorption electrospray ionization coupled with high field asymmetric ion mobility mass spectrometry (DESI-FAIMS-MS) to map CL molecular species in human normal cortex (N = 29), lower-grade astrocytoma (N = 19), and glioblastoma (N = 28) tissues. With this platform, we detected 46 CL species and 12 monolysocardiolipin species from normal cortex samples. CL profiles detected from glioblastoma tissues lacked diversity and abundance of longer chain polyunsaturated fatty acid containing CL species when compared to CL detected from normal and lower-grade tumors. CL profiles correlated with trends in tumor viability and tumor infiltration. Structural characterization of the CL species by tandem MS experiments revealed differences in fatty acid and double bond isomer composition among astrocytoma tissues compared with normal cortex and glioblastoma tissues. The GlioVis platform was used to analyze astrocytoma gene expression data from the CGGA dataset. Decreased expression of several mitochondrial respiratory enzyme encoding-genes was observed for higher-grade versus lower-grade tumors, however no significant difference was observed for cardiolipin synthesis enzyme CRLS1.
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Affiliation(s)
- Anna C. Krieger
- Department of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA
| | - Luis A. Macias
- Department of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA
| | - J. Clay Goodman
- Departments of Pathology & Immunology and Neurology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jennifer S. Brodbelt
- Department of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA
| | - Livia S. Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA
- Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA
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Xia F, Wan JB. Chemical derivatization strategy for mass spectrometry-based lipidomics. MASS SPECTROMETRY REVIEWS 2023; 42:432-452. [PMID: 34486155 DOI: 10.1002/mas.21729] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 07/02/2021] [Accepted: 07/15/2021] [Indexed: 06/13/2023]
Abstract
Lipids, serving as the structural components of cellular membranes, energy storage, and signaling molecules, play the essential and multiple roles in biological functions of mammals. Mass spectrometry (MS) is widely accepted as the first choice for lipid analysis, offering good performance in sensitivity, accuracy, and structural characterization. However, the untargeted qualitative profiling and absolute quantitation of lipids are still challenged by great structural diversity and high structural similarity. In recent decade, chemical derivatization mainly targeting carboxyl group and carbon-carbon double bond of lipids have been developed for lipidomic analysis with diverse advantages: (i) offering more characteristic structural information; (ii) improving the analytical performance, including chromatographic separation and MS sensitivity; (iii) providing one-to-one chemical isotope labeling internal standards based on the isotope derivatization regent in quantitative analysis. Moreover, the chemical derivatization strategy has shown great potential in combination with ion mobility mass spectrometry and ambient mass spectrometry. Herein, we summarized the current states and advances in chemical derivatization-assisted MS techniques for lipidomic analysis, and their strengths and challenges are also given. In summary, the chemical derivatization-based lipidomic approach has become a promising and reliable technique for the analysis of lipidome in complex biological samples.
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Affiliation(s)
- Fangbo Xia
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa, China
| | - Jian-Bo Wan
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa, China
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Otsuka Y. Direct Liquid Extraction and Ionization Techniques for Understanding Multimolecular Environments in Biological Systems (Secondary Publication). Mass Spectrom (Tokyo) 2021; 10:A0095. [PMID: 34249586 PMCID: PMC8246329 DOI: 10.5702/massspectrometry.a0095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 04/21/2021] [Indexed: 11/23/2022] Open
Abstract
A combination of direct liquid extraction using a small volume of solvent and electrospray ionization allows the rapid measurement of complex chemical components in biological samples and visualization of their distribution in tissue sections. This review describes the development of such techniques and their application to biological research since the first reports in the early 2000s. An overview of electrospray ionization, ion suppression in samples, and the acceleration of specific chemical reactions in charged droplets is also presented. Potential future applications for visualizing multimolecular environments in biological systems are discussed.
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Affiliation(s)
- Yoichi Otsuka
- Graduate School of Science, Osaka University, 1–1 Machikaneyama-cho, Toyonaka, Osaka 560–0043, Japan
- JST, PRESTO, 4–1–8 Honcho, Kawaguchi, Saitama 332–0012, Japan
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Chelliah SS, Paul EAL, Kamarudin MNA, Parhar I. Challenges and Perspectives of Standard Therapy and Drug Development in High-Grade Gliomas. Molecules 2021; 26:1169. [PMID: 33671796 PMCID: PMC7927069 DOI: 10.3390/molecules26041169] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 02/05/2021] [Accepted: 02/06/2021] [Indexed: 12/18/2022] Open
Abstract
Despite their low incidence rate globally, high-grade gliomas (HGG) remain a fatal primary brain tumor. The recommended therapy often is incapable of resecting the tumor entirely and exclusively targeting the tumor leads to tumor recurrence and dismal prognosis. Additionally, many HGG patients are not well suited for standard therapy and instead, subjected to a palliative approach. HGG tumors are highly infiltrative and the complex tumor microenvironment as well as high tumor heterogeneity often poses the main challenges towards the standard treatment. Therefore, a one-fit-approach may not be suitable for HGG management. Thus, a multimodal approach of standard therapy with immunotherapy, nanomedicine, repurposing of older drugs, use of phytochemicals, and precision medicine may be more advantageous than a single treatment model. This multimodal approach considers the environmental and genetic factors which could affect the patient's response to therapy, thus improving their outcome. This review discusses the current views and advances in potential HGG therapeutic approaches and, aims to bridge the existing knowledge gap that will assist in overcoming challenges in HGG.
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Affiliation(s)
- Shalini Sundramurthi Chelliah
- Brain Research Institute Monash Sunway, Jeffrey Cheah School of Medicine and Health Science, Monash University Malaysia, Bandar Sunway 47500, Malaysia; (S.S.C.); (E.A.L.P.); (M.N.A.K.)
- School of Science, Monash University Malaysia, Bandar Sunway 47500, Malaysia
| | - Ervin Ashley Lourdes Paul
- Brain Research Institute Monash Sunway, Jeffrey Cheah School of Medicine and Health Science, Monash University Malaysia, Bandar Sunway 47500, Malaysia; (S.S.C.); (E.A.L.P.); (M.N.A.K.)
| | - Muhamad Noor Alfarizal Kamarudin
- Brain Research Institute Monash Sunway, Jeffrey Cheah School of Medicine and Health Science, Monash University Malaysia, Bandar Sunway 47500, Malaysia; (S.S.C.); (E.A.L.P.); (M.N.A.K.)
| | - Ishwar Parhar
- Brain Research Institute Monash Sunway, Jeffrey Cheah School of Medicine and Health Science, Monash University Malaysia, Bandar Sunway 47500, Malaysia; (S.S.C.); (E.A.L.P.); (M.N.A.K.)
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Neumann EK, Comi TJ, Rubakhin SS, Sweedler JV. Lipid Heterogeneity between Astrocytes and Neurons Revealed by Single‐Cell MALDI‐MS Combined with Immunocytochemical Classification. Angew Chem Int Ed Engl 2019. [DOI: 10.1002/ange.201812892] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Elizabeth K. Neumann
- Department of Chemistry and Beckman Institute for Advanced Science and technologyUniversity of Illinois at Urbana-Champaign 405 N. Matthews Ave. Urbana IL 61801 USA
| | - Troy J. Comi
- Department of Chemistry and Beckman Institute for Advanced Science and technologyUniversity of Illinois at Urbana-Champaign 405 N. Matthews Ave. Urbana IL 61801 USA
| | - Stanislav S. Rubakhin
- Department of Chemistry and Beckman Institute for Advanced Science and technologyUniversity of Illinois at Urbana-Champaign 405 N. Matthews Ave. Urbana IL 61801 USA
| | - Jonathan V. Sweedler
- Department of Chemistry and Beckman Institute for Advanced Science and technologyUniversity of Illinois at Urbana-Champaign 405 N. Matthews Ave. Urbana IL 61801 USA
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Neumann EK, Comi TJ, Rubakhin SS, Sweedler JV. Lipid Heterogeneity between Astrocytes and Neurons Revealed by Single-Cell MALDI-MS Combined with Immunocytochemical Classification. Angew Chem Int Ed Engl 2019; 58:5910-5914. [PMID: 30811763 DOI: 10.1002/anie.201812892] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 01/18/2019] [Indexed: 12/15/2022]
Abstract
Transcriptomics characterizes cells based on their potential molecular repertoire whereas direct mass spectrometry (MS) provides information on the actual compounds present within cells. Single-cell matrix-assisted laser desorption/ionization (MALDI) MS can measure the chemical contents of individual cells but spectra are difficult to correlate to conventional cell types, limiting the metabolic information obtained. We present a protocol that combines MALDI-MS with immunocytochemistry to assay over a thousand individual rat brain cells. The approach entwines the wealth of knowledge obtained by immunocytochemical profiling with mass spectral information on the predominant lipids within each cell. While many lipid species showed a high degree of similarity between neurons and astrocytes, seventeen significantly differed between the two cell types, including four phosphatidylethanolamines elevated in astrocytes and nine phosphatidylcholines in neurons.
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Affiliation(s)
- Elizabeth K Neumann
- Department of Chemistry and Beckman Institute for Advanced Science and technology, University of Illinois at Urbana-Champaign, 405 N. Matthews Ave., Urbana, IL, 61801, USA
| | - Troy J Comi
- Department of Chemistry and Beckman Institute for Advanced Science and technology, University of Illinois at Urbana-Champaign, 405 N. Matthews Ave., Urbana, IL, 61801, USA
| | - Stanislav S Rubakhin
- Department of Chemistry and Beckman Institute for Advanced Science and technology, University of Illinois at Urbana-Champaign, 405 N. Matthews Ave., Urbana, IL, 61801, USA
| | - Jonathan V Sweedler
- Department of Chemistry and Beckman Institute for Advanced Science and technology, University of Illinois at Urbana-Champaign, 405 N. Matthews Ave., Urbana, IL, 61801, USA
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Bodzon-Kulakowska A, Suder P. Imaging mass spectrometry: Instrumentation, applications, and combination with other visualization techniques. MASS SPECTROMETRY REVIEWS 2016; 35:147-69. [PMID: 25962625 DOI: 10.1002/mas.21468] [Citation(s) in RCA: 123] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2014] [Accepted: 01/23/2015] [Indexed: 05/18/2023]
Abstract
Imaging Mass Spectrometry (IMS) is strengthening its position as a valuable analytical tool. It has unique ability to identify structures and to unravel molecular changes that occur in the precisely defined part of the sample. These unique features open new possibilities in the field of various aspects of biological research. In this review we briefly discuss the main imaging mass spectrometry techniques, as well as the nature of biological samples and molecules, which might be analyzed by such methodology. Moreover, a novel approach, where different analytical techniques might be combined with the results of IMS study, is emphasized and discussed. With such a fast development of IMS and related methods, we can foresee the promising future of this technique.
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Affiliation(s)
- Anna Bodzon-Kulakowska
- Department of Biochemistry and Neurobiology, Faculty of Materials Sciences and Ceramics, AGH University of Science and Technology, 30-059 Krakow, Poland
| | - Piotr Suder
- Department of Biochemistry and Neurobiology, Faculty of Materials Sciences and Ceramics, AGH University of Science and Technology, 30-059 Krakow, Poland
- Academic Centre for Materials and Nanotechnology (ACMiN), AGH University of Science and Technology, 30-059 Krakow, Poland
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Stinson CA, Xia Y. A method of coupling the Paternò–Büchi reaction with direct infusion ESI-MS/MS for locating the CC bond in glycerophospholipids. Analyst 2016; 141:3696-704. [PMID: 26892746 DOI: 10.1039/c6an00015k] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Conducting the Paternò–Büchi reaction in a microflow photo-reactor enables its coupling with ESI-MS/MS and CC location determination for shotgun lipid analysis.
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Affiliation(s)
| | - Yu Xia
- Department of Chemistry
- Purdue University
- West Lafayette
- USA
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10
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Kerian KS, Jarmusch AK, Pirro V, Koch MO, Masterson TA, Cheng L, Cooks RG. Differentiation of prostate cancer from normal tissue in radical prostatectomy specimens by desorption electrospray ionization and touch spray ionization mass spectrometry. Analyst 2015; 140:1090-8. [PMID: 25521825 PMCID: PMC4314440 DOI: 10.1039/c4an02039a] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Radical prostatectomy is a common treatment option for prostate cancer before it has spread beyond the prostate. Examination for surgical margins is performed post-operatively with positive margins reported to occur in 6.5-32% of cases. Rapid identification of cancerous tissue during surgery could improve surgical resection. Desorption electrospray ionization (DESI) is an ambient ionization method which produces mass spectra dominated by lipid signals directly from prostate tissue. With the use of multivariate statistics, these mass spectra can be used to differentiate cancerous and normal tissue. The method was applied to 100 samples from 12 human patients to create a training set of MS data. The quality of the discrimination achieved was evaluated using principal component analysis - linear discriminant analysis (PCA-LDA) and confirmed by histopathology. Cross validation (PCA-LDA) showed >95% accuracy. An even faster and more convenient method, touch spray (TS) mass spectrometry, not previously tested to differentiate diseased tissue, was also evaluated by building a similar MS data base characteristic of tumor and normal tissue. An independent set of 70 non-targeted biopsies from six patients was then used to record lipid profile data resulting in 110 data points for an evaluation dataset for TS-MS. This method gave prediction success rates measured against histopathology of 93%. These results suggest that DESI and TS could be useful in differentiating tumor and normal prostate tissue at surgical margins and that these methods should be evaluated intra-operatively.
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Affiliation(s)
- K S Kerian
- Purdue University, Department of Chemistry and Center for Analytical Instrumentation Development, Purdue University, West Lafayette, IN 47907, USA.
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Ferreira CR, Jarmusch AK, Pirro V, Alfaro CM, González-Serrano AF, Niemann H, Wheeler MB, Rabel RAC, Hallett JE, Houser R, Kaufman A, Cooks RG. Ambient ionisation mass spectrometry for lipid profiling and structural analysis of mammalian oocytes, preimplantation embryos and stem cells. Reprod Fertil Dev 2015; 27:621-37. [DOI: 10.1071/rd14310] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Accepted: 01/13/2015] [Indexed: 12/14/2022] Open
Abstract
Lipids play fundamental roles in mammalian embryo preimplantation development and cell fate. Triacylglycerol accumulates in oocytes and blastomeres as lipid droplets, phospholipids influence membrane functional properties, and essential fatty acid metabolism is important for maintaining the stemness of cells cultured in vitro. The growing impact that lipids have in the field of developmental biology makes analytical approaches to analyse structural information of great interest. This paper describes the concept and presents the results of lipid profiling by mass spectrometry (MS) of oocytes and preimplantation embryos, with special focus on ambient ionisation. Based on our previous experience with oocytes and embryos, we aim to convey that ambient MS is also valuable for stem cell differentiation analysis. Ambient ionisation MS allows the detection of a wide range of lipid classes (e.g. free fatty acids, cholesterol esters, phospholipids) in single oocytes, embryos and cell pellets, which are informative of in vitro culture impact, developmental and differentiation stages. Background on MS principles, the importance of underused MS scan modes for structural analysis of lipids, and statistical approaches used for data analysis are covered. We envisage that MS alone or in combination with other techniques will have a profound impact on the understanding of lipid metabolism, particularly in early embryo development and cell differentiation research.
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Eberlin LS, Ferreira CR, Dill AL, Ifa DR, Cheng L, Cooks RG. Nondestructive, histologically compatible tissue imaging by desorption electrospray ionization mass spectrometry. Chembiochem 2011; 12:2129-32. [PMID: 21793152 PMCID: PMC3678526 DOI: 10.1002/cbic.201100411] [Citation(s) in RCA: 113] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2011] [Indexed: 01/01/2023]
Affiliation(s)
- Livia S. Eberlin
- Department of Chemistry and Center for Analytical Instrumentation and Development Purdue University West Lafayette, IN, 47905
| | - Christina R. Ferreira
- Department of Chemistry and Center for Analytical Instrumentation and Development Purdue University West Lafayette, IN, 47905
| | - Allison L. Dill
- Department of Chemistry and Center for Analytical Instrumentation and Development Purdue University West Lafayette, IN, 47905
| | - Demian R. Ifa
- Department of Chemistry and Center for Analytical Instrumentation and Development Purdue University West Lafayette, IN, 47905
| | - Liang Cheng
- Department of Pathology and Laboratory Medicine Indiana University School of Medicine, Indianapolis, IN, 46202
| | - R. Graham Cooks
- Department of Chemistry and Center for Analytical Instrumentation and Development Purdue University West Lafayette, IN, 47905
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Dill AL, Eberlin LS, Costa AB, Zheng C, Ifa DR, Cheng L, Masterson TA, Koch MO, Vitek O, Cooks RG. Multivariate statistical identification of human bladder carcinomas using ambient ionization imaging mass spectrometry. Chemistry 2011; 17:2897-902. [PMID: 21284043 PMCID: PMC3050580 DOI: 10.1002/chem.201001692] [Citation(s) in RCA: 92] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2010] [Revised: 10/03/2010] [Indexed: 11/06/2022]
Abstract
Diagnosis of human bladder cancer in untreated tissue sections is achieved by using imaging data from desorption electrospray ionization mass spectrometry (DESI-MS) combined with multivariate statistical analysis. We use the distinctive DESI-MS glycerophospholipid (GP) mass spectral profiles to visually characterize and formally classify twenty pairs (40 tissue samples) of human cancerous and adjacent normal bladder tissue samples. The individual ion images derived from the acquired profiles correlate with standard histological hematoxylin and eosin (H&E)-stained serial sections. The profiles allow us to classify the disease status of the tissue samples with high accuracy as judged by reference histological data. To achieve this, the data from the twenty pairs were divided into a training set and a validation set. Spectra from the tumor and normal regions of each of the tissue sections in the training set were used for orthogonal projection to latent structures (O-PLS) treated partial least-square discriminate analysis (PLS-DA). This predictive model was then validated by using the validation set and showed a 5% error rate for classification and a misclassification rate of 12%. It was also used to create synthetic images of the tissue sections showing pixel-by-pixel disease classification of the tissue and these data agreed well with the independent classification that uses histological data by a certified pathologist. This represents the first application of multivariate statistical methods for classification by ambient ionization although these methods have been applied previously to other MS imaging methods. The results are encouraging in terms of the development of a method that could be utilized in a clinical setting through visualization and diagnosis of intact tissue.
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Affiliation(s)
- Allison L. Dill
- Department of Chemistry, Purdue University, West Lafayette, IN 47907 (USA)
| | - Livia S. Eberlin
- Department of Chemistry, Purdue University, West Lafayette, IN 47907 (USA)
| | - Anthony B. Costa
- Department of Chemistry, Purdue University, West Lafayette, IN 47907 (USA)
| | - Cheng Zheng
- Department of Statistics, Purdue University West Lafayette, IN 47907 (USA)
| | - Demian R. Ifa
- Department of Chemistry, Purdue University, West Lafayette, IN 47907 (USA)
| | - Liang Cheng
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN 46202 (USA)
| | - Timothy A. Masterson
- Department of Urology, Indiana University School of Medicine Indianapolis, IN 46202 (USA)
| | - Michael O. Koch
- Department of Urology, Indiana University School of Medicine Indianapolis, IN 46202 (USA)
| | - Olga Vitek
- Department of Statistics, Purdue University West Lafayette, IN 47907 (USA)
| | - R. Graham Cooks
- Department of Chemistry, Purdue University, West Lafayette, IN 47907 (USA)
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