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Hanas JS, Hocker JRS, Vannarath CA, Lerner MR, Blair SG, Lightfoot SA, Hanas RJ, Couch JR, Hershey LA. Distinguishing Alzheimer's Disease Patients and Biochemical Phenotype Analysis Using a Novel Serum Profiling Platform: Potential Involvement of the VWF/ADAMTS13 Axis. Brain Sci 2021; 11:brainsci11050583. [PMID: 33946285 PMCID: PMC8145311 DOI: 10.3390/brainsci11050583] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 04/25/2021] [Accepted: 04/27/2021] [Indexed: 11/16/2022] Open
Abstract
It is important to develop minimally invasive biomarker platforms to help in the identification and monitoring of patients with Alzheimer's disease (AD). Assisting in the understanding of biochemical mechanisms as well as identifying potential novel biomarkers and therapeutic targets would be an added benefit of such platforms. This study utilizes a simplified and novel serum profiling platform, using mass spectrometry (MS), to help distinguish AD patient groups (mild and moderate) and controls, as well as to aid in understanding of biochemical phenotypes and possible disease development. A comparison of discriminating sera mass peaks between AD patients and control individuals was performed using leave one [serum sample] out cross validation (LOOCV) combined with a novel peak classification valuation (PCV) procedure. LOOCV/PCV was able to distinguish significant sera mass peak differences between a group of mild AD patients and control individuals with a p value of 10-13. This value became non-significant (p = 0.09) when the same sera samples were randomly allocated between the two groups and reanalyzed by LOOCV/PCV. This is indicative of physiological group differences in the original true-pathology binary group comparison. Similarities and differences between AD patients and traumatic brain injury (TBI) patients were also discernable using this novel LOOCV/PCV platform. MS/MS peptide analysis was performed on serum mass peaks comparing mild AD patients with control individuals. Bioinformatics analysis suggested that cell pathways/biochemical phenotypes affected in AD include those involving neuronal cell death, vasculature, neurogenesis, and AD/dementia/amyloidosis. Inflammation, autoimmunity, autophagy, and blood-brain barrier pathways also appear to be relevant to AD. An impaired VWF/ADAMTS13 vasculature axis with connections to F8 (factor VIII) and LRP1 and NOTCH1 was indicated and is proposed to be important in AD development.
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Affiliation(s)
- Jay S. Hanas
- Department of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (J.R.S.H.); (C.A.V.); (R.J.H.)
- Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (M.R.L.); (S.G.B.)
- Veterans Administration Hospital, Oklahoma City, OK 73104, USA;
- Correspondence:
| | - James R. S. Hocker
- Department of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (J.R.S.H.); (C.A.V.); (R.J.H.)
| | - Christian A. Vannarath
- Department of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (J.R.S.H.); (C.A.V.); (R.J.H.)
| | - Megan R. Lerner
- Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (M.R.L.); (S.G.B.)
| | - Scott G. Blair
- Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (M.R.L.); (S.G.B.)
| | | | - Rushie J. Hanas
- Department of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (J.R.S.H.); (C.A.V.); (R.J.H.)
| | - James R. Couch
- Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (J.R.C.); (L.A.H.)
| | - Linda A. Hershey
- Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (J.R.C.); (L.A.H.)
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Hanas JS, Hocker JRS, Evangeline B, Prabhakaran V, Oommen A, Rajshekhar V, Drevets DA, Carabin H. Distinguishing patients with idiopathic epilepsy from solitary cysticercus granuloma epilepsy and biochemical phenotype assessment using a serum biomolecule profiling platform. PLoS One 2020; 15:e0237064. [PMID: 32823271 PMCID: PMC7527271 DOI: 10.1371/journal.pone.0237064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 06/24/2020] [Indexed: 11/19/2022] Open
Abstract
A major source of epilepsy is Neurocysticercosis (NCC), caused by Taenia solium infection. Solitary cysticercus granuloma (SCG), a sub-group of NCC induced epilepsy, is the most common form of NCC in India. Current diagnostic criteria for SCG epilepsy require brain imaging which may not be available in communities where the disease is endemic. Identification of serum changes and potential biomolecules that could distinguish SCG epilepsy from idiopathic generalized epilepsy (IE), without the initial need for imaging, could assist in disease identification, understanding, and treatment. The objective here was to investigate, using mass spectrometry (MS), sera biomolecule differences between patients with SCG epilepsy or IE to help distinguish these disorders based on physiological differences, to understand underlying phenotypes and mechanisms, and to lay ground work for future therapeutic and biomarker analyses. Sera were obtained from patients with SCG or IE (N = 29 each group). Serum mass peak profiling was performed with electrospray ionization (ESI) MS, and mass peak area means in the two groups were compared using leave one [serum sample] out cross validation (LOOCV). Serum LOOCV analysis identified significant differences between SCG and IE patient groups (p = 10-20), which became non-significant (p = 0.074) when the samples were randomly allocated to the groups and reanalyzed. Tandem MS/MS peptide analysis of serum mass peaks from SCG or IE patients was performed to help identify potential peptide/protein biochemical and phenotypic changes involving these two forms of epilepsy. Bioinformatic analysis of these peptide/protein changes suggested neurological, inflammatory, seizure, blood brain barrier, cognition, ion channel, cell death, and behavior related biochemical systems were being altered in these disease states. This study provides groundwork for aiding in distinguishing SCG and IE patients in minimally invasive, lower-cost manners, for improving understanding of underlying epilepsy mechanisms, and for further identifying discriminatory biomarkers and potential therapeutic targets.
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Affiliation(s)
- Jay S. Hanas
- Department of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
| | - James Randolph Sanders Hocker
- Department of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
| | - Betcy Evangeline
- Department of Neurological Sciences, Christian Medical College, Vellore, India
| | | | - Anna Oommen
- Department of Neurological Sciences, Christian Medical College, Vellore, India
| | - Vedantam Rajshekhar
- Department of Neurological Sciences, Christian Medical College, Vellore, India
| | - Douglas A. Drevets
- Department of Internal Medicine, University of Oklahoma Health Sciences Center, and the Veterans Administration Medical Center, Oklahoma City, OK, United States of America
| | - Hélène Carabin
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
- Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, Canada
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Hocker JR, Lerner M, Lightfoot SA, Peyton MD, Thompson JL, Deb S, Reinersman M, Hanas RJ, Postier RG, Edil BH, Burkhart HM, Hanas JS. Serum discrimination and phenotype assessment of coronary artery disease patents with and without type 2 diabetes prior to coronary artery bypass graft surgery. PLoS One 2020; 15:e0234539. [PMID: 32756554 PMCID: PMC7527241 DOI: 10.1371/journal.pone.0234539] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 05/12/2020] [Indexed: 11/18/2022] Open
Abstract
Diabetes Mellitus (DM) accelerates coronary artery disease (CAD) and atherosclerosis, the causes of most heart attacks. The biomolecules involved in these inter-related disease processes are not well understood. This study analyzes biomolecules in the sera of patients with CAD, with and without type (T) 2DM, who are about to undergo coronary artery bypass graft (CABG) surgery. The goal is to develop methodology to help identify and monitor CAD patients with and without T2DM, in order to better understand these phenotypes and to glean relationships through analysis of serum biomolecules. Aorta, fat, muscle, and vein tissues from CAD T2DM patients display diabetic-related histologic changes (e.g., lipid accumulation, fibrosis, loss of cellularity) when compared to non-diabetic CAD patients. The patient discriminatory methodology utilized is serum biomolecule mass profiling. This mass spectrometry (MS) approach is able to distinguish the sera of a group of CAD patients from controls (p value 10−15), with the CAD group containing both T2DM and non-diabetic patients. This result indicates the T2DM phenotype does not interfere appreciably with the CAD determination versus control individuals. Sera from a group of T2DM CAD patients however are distinguishable from non-T2DM CAD patients (p value 10−8), indicating it may be possible to examine the T2DM phenotype within the CAD disease state with this MS methodology. The same serum samples used in the CAD T2DM versus non-T2DM binary group comparison were subjected to MS/MS peptide structure analysis to help identify potential biochemical and phenotypic changes associated with CAD and T2DM. Such peptide/protein identifications could lead to improved understanding of underlying mechanisms, additional biomarkers for discriminating and monitoring these disease conditions, and potential therapeutic targets. Bioinformatics/systems biology analysis of the peptide/protein changes associated with CAD and T2DM suggested cell pathways/systems affected include atherosclerosis, DM, fibrosis, lipogenesis, loss of cellularity (apoptosis), and inflammation.
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Affiliation(s)
- James R. Hocker
- Department of Biochemistry and Molecular Biology The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Megan Lerner
- Department of Surgery The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Stan A. Lightfoot
- Department of Medicine The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Marvin D. Peyton
- Department of Surgery The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Jess L. Thompson
- Department of Surgery The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Subrato Deb
- Department of Surgery The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Mathew Reinersman
- Department of Surgery The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - R. Jane Hanas
- Department of Biochemistry and Molecular Biology The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Russel G. Postier
- Department of Surgery The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Barish H. Edil
- Department of Surgery The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Harold M. Burkhart
- Department of Surgery The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Jay S. Hanas
- Department of Biochemistry and Molecular Biology The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
- * E-mail:
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Hanas JS, Hocker JRS, Vannarath C, Evangeline B, Prabhakaran V, Oommen A, Couch J, Anderson M, Rajshekhar V, Carabin H, Drevets D. Distinguishing and Biochemical Phenotype Analysis of Epilepsy Patients Using a Novel Serum Profiling Platform. Brain Sci 2020; 10:brainsci10080504. [PMID: 32751954 PMCID: PMC7464346 DOI: 10.3390/brainsci10080504] [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: 06/21/2020] [Revised: 07/19/2020] [Accepted: 07/29/2020] [Indexed: 11/19/2022] Open
Abstract
Diagnosis of non-symptomatic epilepsy includes a history of two or more seizures and brain imaging to rule out structural changes like trauma, tumor, infection. Such analysis can be problematic. It is important to develop capabilities to help identify non-symptomatic epilepsy in order to better monitor and understand the condition. This understanding could lead to improved diagnostics and therapeutics. Serum mass peak profiling was performed using electrospray ionization mass spectrometry (ESI-MS). A comparison of sera mass peaks between epilepsy and control groups was performed via leave one [serum sample] out cross-validation (LOOCV). MS/MS peptide analysis was performed on serum mass peaks to compare epilepsy patient and control groups. LOOCV identified significant differences between the epilepsy patient group and control group (p = 10−22). This value became non-significant (p = 0.10) when the samples were randomly allocated between the groups and reanalyzed by LOOCV. LOOCV was thus able to distinguish a non-symptomatic epilepsy patient group from a control group based on physiological differences and underlying phenotype. MS/MS was able to identify potential peptide/protein changes involved in this epilepsy versus control comparison, with 70% of the top 100 proteins indicating overall neurologic function. Specifically, peptide/protein sera changes suggested neuro-inflammatory, seizure, ion-channel, synapse, and autoimmune pathways changing between epilepsy patients and controls.
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Affiliation(s)
- Jay S. Hanas
- Department of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (J.R.S.H.); (C.V.)
- Correspondence:
| | - James R. S. Hocker
- Department of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (J.R.S.H.); (C.V.)
| | - Christian Vannarath
- Department of Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (J.R.S.H.); (C.V.)
| | - Betcy Evangeline
- Department of Neurological Sciences, Christian Medical College, Vellore 632004, India; (B.E.); (V.P.); (A.O.); (V.R.)
| | - Vasudevan Prabhakaran
- Department of Neurological Sciences, Christian Medical College, Vellore 632004, India; (B.E.); (V.P.); (A.O.); (V.R.)
| | - Anna Oommen
- Department of Neurological Sciences, Christian Medical College, Vellore 632004, India; (B.E.); (V.P.); (A.O.); (V.R.)
| | - James Couch
- Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA;
| | - Michael Anderson
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (M.A.); (H.C.)
| | - Vedantam Rajshekhar
- Department of Neurological Sciences, Christian Medical College, Vellore 632004, India; (B.E.); (V.P.); (A.O.); (V.R.)
| | - Hélène Carabin
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (M.A.); (H.C.)
- Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC H3T 1J4, Canada
| | - Douglas Drevets
- Department of Internal Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA;
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Garcia HH, Gonzalez AE, Gilman RH. Taenia solium Cysticercosis and Its Impact in Neurological Disease. Clin Microbiol Rev 2020; 33:e00085-19. [PMID: 32461308 PMCID: PMC7254859 DOI: 10.1128/cmr.00085-19] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Taenia solium neurocysticercosis (NCC) is endemic in most of the world and contributes significantly to the burden of epilepsy and other neurological morbidity. Also present in developed countries because of immigration and travel, NCC is one of few diseases targeted for eradication. This paper reviews all aspects of its life cycle (taeniasis, porcine cysticercosis, human cysticercosis), with a focus on recent advances in its diagnosis, management, and control. Diagnosis of taeniasis is limited by poor availability of immunological or molecular assays. Diagnosis of NCC rests on neuroimaging findings, supported by serological assays. The treatment of NCC should be approached in the context of the particular type of infection (intra- or extraparenchymal; number, location, and stage of lesions) and has evolved toward combined symptomatic and antiparasitic management, with particular attention to modulating inflammation. Research on NCC and particularly the use of recently available genome data and animal models of infection should help to elucidate mechanisms of brain inflammation, damage, and epileptogenesis.
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Affiliation(s)
- Hector H Garcia
- Center for Global Health, Universidad Peruana Cayetano Heredia, Lima, Peru
- Cysticercosis Unit, Instituto Nacional de Ciencias Neurológicas, Lima, Peru
| | - Armando E Gonzalez
- Center for Global Health, Universidad Peruana Cayetano Heredia, Lima, Peru
- School of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Robert H Gilman
- Department of International Health, Johns Hopkins School of Public Health, Baltimore, Maryland, USA
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