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Navalón P, Merchan-Naranjo J, Ghosn F, Almansa B, Chafer-Pericas C, González-Peñas J, Rodríguez-Toscano E, Zeballos S, Arriaga M, Castro Castro P, Blanco Bravo D, Vento M, Pina-Camacho L, García-Blanco A. Study of the pathophysiological mechanisms associated with the onset and course of neurodevelopmental disorders in preterm infants (the PeriSTRESS-PremTEA study): Rationale, objectives, design and sample description. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2024; 17:19-27. [PMID: 33618030 DOI: 10.1016/j.rpsm.2021.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 12/03/2020] [Accepted: 02/13/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND There are few studies exploring the pathophysiological pathways that may condition differentially the emergence/course of neurodevelopmental disorders (ND) in very preterm and extremely preterm newborns (VPTN/EPTN). Furthermore, there are no established biological markers predictive of ND in this population. The aim of this study is four-fold: in two cohorts of VPTN/EPTN (i) to characterize the emergence/course of ND up to corrected-age 6 years, (ii) to identify those factors (from prenatal stages up to age 6 years) that explain the interindividual differences related to emergence/course of ND, (iii) to identify in the first hours/days of life a urinary metabolomic biomarker profile predictive of ND, and (iv) to determine longitudinally variations in DNA methylation patterns predictive of ND. METHODS Observational, longitudinal, prospective, six-year follow-up, multicentre collaborative study. Two cohorts are being recruited: the PeriSTRESS-Valencia-cohort (n=26 VPTN, 18 EPTN, and 122 born-at-term controls), and the PremTEA-Madrid-cohort (n=49 EPTN and n=29 controls). RESULTS We describe the rationale, objectives and design of the PeriSTRESS-PremTEA project and show a description at birth of the recruited samples. CONCLUSIONS The PeriSTRESS-PremTEA project could help improve early identification of clinical, environmental and biological variables involved in the physiopathology of ND in VPTN/EPTN. It could also help to improve the early identification of non-invasive ND biomarkers in this population. This may allow early ND detection as well as early and personalised intervention for these children.
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Affiliation(s)
- Pablo Navalón
- Neonatal Research Group, La Fe Health Research Institute, Valencia, España; Department of Psychiatry, La Fe University and Polytechnic Hospital, Valencia, España
| | - Jéssica Merchan-Naranjo
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañon, CIBERSAM, IiSGM, School of Medicine, Universidad Complutense, Madrid, España
| | - Farah Ghosn
- Neonatal Research Group, La Fe Health Research Institute, Valencia, España
| | - Belén Almansa
- Neonatal Research Group, La Fe Health Research Institute, Valencia, España
| | | | - Javier González-Peñas
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañon, CIBERSAM, IiSGM, School of Medicine, Universidad Complutense, Madrid, España
| | - Elisa Rodríguez-Toscano
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañon, CIBERSAM, IiSGM, School of Medicine, Universidad Complutense, Madrid, España
| | - Susana Zeballos
- Department of Neonatology, Hospital General Universitario Gregorio Marañon, School of Medicine, Universidad Complutense, Madrid, España
| | - María Arriaga
- Department of Neonatology, Hospital General Universitario Gregorio Marañon, School of Medicine, Universidad Complutense, Madrid, España
| | - Pedro Castro Castro
- Section of Neuropaediatrics, Department of Paediatrics, Hospital General Universitario Gregorio Marañon, School of Medicine, Universidad Complutense, Madrid, España
| | - Dorotea Blanco Bravo
- Department of Neonatology, Hospital General Universitario Gregorio Marañon, School of Medicine, Universidad Complutense, Madrid, España
| | - Máximo Vento
- Neonatal Research Group, La Fe Health Research Institute, Valencia, España
| | - Laura Pina-Camacho
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañon, CIBERSAM, IiSGM, School of Medicine, Universidad Complutense, Madrid, España.
| | - Ana García-Blanco
- Neonatal Research Group, La Fe Health Research Institute, Valencia, España; Department of Personality, Assessment and Psychological Treatments, University of Valencia, España
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Yadikar H, Johnson C, Pafundi N, Nguyen L, Kurup M, Torres I, Al-Enezy A, Yang Z, Yost R, Kobeissy FH, Wang KKW. Neurobiochemical, Peptidomic, and Bioinformatic Approaches to Characterize Tauopathy Peptidome Biomarker Candidates in Experimental Mouse Model of Traumatic Brain Injury. Mol Neurobiol 2023; 60:2295-2319. [PMID: 36635478 DOI: 10.1007/s12035-022-03165-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 12/10/2022] [Indexed: 01/14/2023]
Abstract
Traumatic brain injury (TBI) is a multidimensional damage, and currently, no FDA-approved medicine is available. Multiple pathways in the cell are triggered through a head injury (e.g., calpain and caspase activation), which truncate tau and generate variable fragment sizes (MW 400-45,000 K). In this study, we used an open-head TBI mouse model generated by controlled cortical impact (CCI) and collected ipsilateral (IC) and contralateral (CC) mice htau brain cortices at one (D1) three (D3), and seven (D7) days post-injury. We implemented immunological (antibody-based detection) and peptidomic approaches (nano-reversed-phase liquid chromatography/tandem mass spectrometry) to investigate proteolytic tau peptidome (low molecular weight (LMW) < 10 K)) and pathological phosphorylation sites (high-molecular-weight (HMW); > 10 K) derived from CCI-TBI animal models. Our immunoblotting analysis verified tau hyperphosphorylation, HMW, and HMW breakdown products (HMW-BDP) formation of tau (e.g., pSer202, pThr181, pThr231, pSer396, and pSer404), following CCI-TBI. Peptidomic data revealed unique sequences of injury-dependent proteolytic peptides generated from human tau protein. Among the N-terminal tau peptides, EIPEGTTAEEAGIGDTPSLEDEAAGHVTQA (a.a. 96-125) and AQPHTEIPEGTTAEEAGIGDTPSLEDEAAGHVTQARM (a.a. 91-127). Examples of tau C-terminal peptides identified include NVSSTGSIDMVDSPQLATLADEVSASLAKQGL (a.a. 410-441) and QLATLADEVSASLAKQGL (a.a. 424-441). Our peptidomic bioinformatic tools showed the association of proteases, such as CAPN1, CAPN2, and CTSL; CASP1, MMP7, and MMP9; and ELANE, GZMA, and MEP1A, in CCI-TBI tau peptidome. In clinical trials for novel TBI treatments, it might be useful to monitor a subset of tau peptidome as targets for biomarker utility and use them for a "theranostic" approach.
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Affiliation(s)
- Hamad Yadikar
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait.
| | - Connor Johnson
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Niko Pafundi
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Lynn Nguyen
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Milin Kurup
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Isabel Torres
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Albandery Al-Enezy
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Zhihui Yang
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Richard Yost
- Department of Chemistry, Chemistry Laboratory Building, University of Florida, Gainesville, FL, 32611, USA
| | - Firas H Kobeissy
- Program for Neurotrauma, Neuroproteomics & Biomarkers Research, Departments of Emergency Medicine, Psychiatry, Neuroscience and Chemistry, University of Florida, Gainesville, FL, USA. .,Department of Biochemistry and Molecular Genetics, American University of Beirut, Beirut, Lebanon. .,Morehouse School of Medicine, Department of Neurobiology, Center for Neurotrauma, Multiomics & Biomarkers (CNMB), 720 Westview Dr. SW, Atlanta, GA, 30310, USA.
| | - Kevin K W Wang
- Program for Neurotrauma, Neuroproteomics & Biomarkers Research, Departments of Emergency Medicine, Psychiatry, Neuroscience and Chemistry, University of Florida, Gainesville, FL, USA. .,Morehouse School of Medicine, Department of Neurobiology, Center for Neurotrauma, Multiomics & Biomarkers (CNMB), 720 Westview Dr. SW, Atlanta, GA, 30310, USA. .,Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, FL, 32608, USA.
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Creech M, Carvalho L, McCoy H, Jacobs J, Hinson HE. Mass Spectrometry-Based Approaches for Clinical Biomarker Discovery in Traumatic Brain Injury. Curr Treat Options Neurol 2022; 24:605-618. [PMID: 37025501 PMCID: PMC10072855 DOI: 10.1007/s11940-022-00742-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/06/2022] [Indexed: 11/28/2022]
Abstract
Purpose of Review Precision treatments to address the multifaceted pathophysiology of traumatic brain injury (TBI) are desperately needed, which has led to the intense study of fluid-based protein biomarkers in TBI. Mass Spectrometry (MS) is increasingly being applied to biomarker discovery and quantification in neurological disease to explore the proteome, allowing for more flexibility in biomarker discovery than commonly encountered antibody-based assays. In this narrative review, we will provide specific examples of how MS technology has advanced translational research in traumatic brain injury (TBI) focusing on clinical studies, and looking ahead to promising emerging applications of MS to the field of Neurocritical Care. Recent Findings Proteomic biomarker discovery using MS technology in human subjects has included the full range of injury severity in TBI, though critically ill patients can offer more options to biofluids given the need for invasive monitoring. Blood, urine, cerebrospinal fluid, brain specimens, and cerebral extracellular fluid have all been sources for analysis. Emerging evidence suggests there are distinct proteomic profiles in radiographic TBI subtypes, and that biomarkers may be used to distinguish patients sustaining TBI from healthy controls. Metabolomics may offer a window into the perturbations of ongoing cerebral insults in critically ill patients after severe TBI. Summary Emerging MS technologies may offer biomarker discovery and validation opportunities not afforded by conventional means due to its ability to handle the complexities associated with the proteome. While MS techniques are relatively early in development in the neurosciences space, the potential applications to TBI and neurocritical care are likely to accelerate in the coming decade.
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Affiliation(s)
- Matthew Creech
- Department of Neurology, Oregon Health and Science University, Portland OR
| | - Lindsey Carvalho
- Department of Neurology, Oregon Health and Science University, Portland OR
| | - Heather McCoy
- Biological Sciences Division, Pacific Northwest National Laboratories, Richland, WA
| | - Jon Jacobs
- Biological Sciences Division, Pacific Northwest National Laboratories, Richland, WA
| | - H E Hinson
- Department of Neurology, Oregon Health and Science University, Portland OR
- Department of Emergency Medicine, Oregon Health and Science University, Portland OR
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Supraja P, Tripathy S, Krishna Vanjari SR, Singh SG. Label-free, ultrasensitive and rapid detection of FDA-approved TBI specific UCHL1 biomarker in plasma using MWCNT-PPY nanocomposite as bio-electrical transducer: A step closer to point-of-care diagnosis of TBI. Biosens Bioelectron 2022; 216:114631. [PMID: 35973277 DOI: 10.1016/j.bios.2022.114631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 08/05/2022] [Accepted: 08/07/2022] [Indexed: 11/02/2022]
Abstract
Traumatic Brain Injury (TBI), a major cause of mortality and neurological disability affecting people of all ages worldwide, remains a diagnostic and therapeutic challenge to date. Rapid, ultra-sensitive, selective, and wide-range detection of TBI biomarkers in easily accessible body fluids is an unmet clinical need. Considering this, in this work, we report the design and development of a facile, label-free, highly stable and sensitive, chemi-impedance-based sensing platform for rapid and wide range detection of Ubiquitin-carboxy terminal hydrolase L1 (UCHL1: FDA-approved TBI specific plasma biomarker), using carboxylic functionalized MWCNTs embedded polypyrrole (PPY) nanocomposites (PPY/f-MWCNT). The said nanocomposites were synthesized using chemical oxidative polymerization method. Herein, the functionalized MWCNTs are used as conducting fillers so as to increase the polymer's dielectric constant according to the micro-capacitor model, thereby augmenting both DC electrical conductivity and AC dielectric property of the nanocomposite. The proposed immunosensing platform comprises of PPY/f-MWCNT modified interdigitated microelectrode (IDμEs) array, on which anti-UCHL1-antibodies are immobilized using suitable covalent chemistry. The AC electrical characterization of the nanocomposite modified IDμEs, with and without the antibodies, was performed through generic capacitance vs. frequency (C-F, 1 KHz - 1 MHz) and capacitance vs. applied bias (C-V, 0.1 V-1 V) measurements, using an Agilent B1500A parametric analyzer. The binding event of UCHL1 peptides to anti-UCHL1-antibodies was transduced in terms of normalised changes in parallel capacitance, via the C-F analysis. Further, we have tested the detection efficiency of the said immunoassay against UCHL1 spiked human plasma samples in the concentration range 10 fg/mL - 1 μg/mL. The proposed sensing platform detected UCHL1 in spiked-plasma samples linearly in the range of 10 fg/mL - 1 ng/mL with a sensitivity and LoD of 4.22 ((ΔC/C0)/ng.mL-1)/cm2 and 0.363 fg/mL, respectively. Further, it showed excellent stability (30 weeks), repeatability, reproducibility, selectivity and interference-resistance. The proposed approach is label-free, and if desired, can be used in conjunction with DC measurements, for biosensing applications.
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Affiliation(s)
- Patta Supraja
- Department of Electrical Engineering, Indian Institute of Technology Hyderabad, 502285, India.
| | - Suryasnata Tripathy
- Department of Electronics and Communication Engineering, Indian Institute of Information Technology Surat, 395007, India.
| | | | - Shiv Govind Singh
- Department of Electrical Engineering, Indian Institute of Technology Hyderabad, 502285, India.
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Hu X, Tian K. [A Review of Epigenetic Modifications Regulate MicroRNA Expression in Lung Cancer]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2021; 23:582-588. [PMID: 32702792 PMCID: PMC7406441 DOI: 10.3779/j.issn.1009-3419.2020.102.29] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
肺癌是全世界癌症引起死亡中较常见的一种。近年来,参与肺癌发病的分子机制被逐步揭开,但是其发生发展的确切机制并未完全阐明。其中微小RNAs(microRNAs, miRNAs)是一种短小并且广泛存在于植物、病毒及人类等各种生物中的内源性单链的非编码RNA。miRNAs在正常肺组织中发挥着多种功能,它参与细胞生长、代谢、增殖和分化等众多生物学过程。而miRNAs的异常表达与肺肿瘤的发生、发展、侵袭、转移相关。因此,miRNAs可被视为一种新的生物标志物。与编码蛋白质的基因类似,miRNA的表达和功能受多种因素以及表观遗传网络(包括DNA甲基化和组蛋白修饰机制)的调控。此外,miRNAs本身也能调控那些表观遗传修饰的关键酶来影响表观修饰。miRNA与表观基因学之间的相互联系将有助于我们研发以miRNA为导向的肺癌诊断、治疗和预后的方案。
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Affiliation(s)
- Xilin Hu
- Department of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266071, China
| | - Kaihua Tian
- Department of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266071, China
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Bohnert S, Reinert C, Trella S, Schmitz W, Ondruschka B, Bohnert M. Metabolomics in postmortem cerebrospinal fluid diagnostics: a state-of-the-art method to interpret central nervous system-related pathological processes. Int J Legal Med 2021; 135:183-191. [PMID: 33180198 PMCID: PMC7782422 DOI: 10.1007/s00414-020-02462-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 11/05/2020] [Indexed: 12/16/2022]
Abstract
In the last few years, quantitative analysis of metabolites in body fluids using LC/MS has become an established method in laboratory medicine and toxicology. By preparing metabolite profiles in biological specimens, we are able to understand pathophysiological mechanisms at the biochemical and thus the functional level. An innovative investigative method, which has not yet been used widely in the forensic context, is to use the clinical application of metabolomics. In a metabolomic analysis of 41 samples of postmortem cerebrospinal fluid (CSF) samples divided into cohorts of four different causes of death, namely, cardiovascular fatalities, isoIated torso trauma, traumatic brain injury, and multi-organ failure, we were able to identify relevant differences in the metabolite profile between these individual groups. According to this preliminary assessment, we assume that information on biochemical processes is not gained by differences in the concentration of individual metabolites in CSF, but by a combination of differently distributed metabolites forming the perspective of a new generation of biomarkers for diagnosing (fatal) TBI and associated neuropathological changes in the CNS using CSF samples.
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Affiliation(s)
- Simone Bohnert
- Institute of Forensic Medicine, University of Wuerzburg, Versbacher Str. 3, 97078, Wuerzburg, Germany.
| | - Christoph Reinert
- Institute of Forensic Medicine, University of Wuerzburg, Versbacher Str. 3, 97078, Wuerzburg, Germany
| | - Stefanie Trella
- Institute of Forensic Medicine, University of Wuerzburg, Versbacher Str. 3, 97078, Wuerzburg, Germany
| | - Werner Schmitz
- Institute of Biochemistry and Molecular Biology I, Biozentrum - Am Hubland, 97074, Wuerzburg, Germany
| | - Benjamin Ondruschka
- Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, Butenfeld 34, 22529, Hamburg, Germany
| | - Michael Bohnert
- Institute of Forensic Medicine, University of Wuerzburg, Versbacher Str. 3, 97078, Wuerzburg, Germany
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Patel PD, Stafflinger JE, Marwitz JH, Niemeier JP, Ottens AK. Secreted Peptides for Diagnostic Trajectory Assessments in Brain Injury Rehabilitation. Neurorehabil Neural Repair 2020; 35:169-184. [PMID: 33331223 DOI: 10.1177/1545968320975428] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Rehabilitation following traumatic brain injury (TBI) significantly improves outcomes; yet TBI heterogeneity raises the need for molecular evidence of brain recovery processes to better track patient progress, evaluate therapeutic efficacy, and provide prognostication. OBJECTIVE Here, we assessed whether the trajectory of TBI-responsive peptides secreted into urine can produce a predictive model of functional recovery during TBI rehabilitation. METHODS The multivariate urinary peptidome of 12 individuals with TBI was examined using quantitative peptidomics. Measures were assessed upon admission and discharge from inpatient rehabilitation. A combination of Pavlidis template matching and partial least-squares discriminant analysis was used to build models on Disability Rating Scale (DRS) and Functional Independence Measure (FIM) scores, with participants bifurcated into more or less functional improvement groups. RESULTS The produced models exhibited high sensitivity and specificity with the area under the receiver operator curve being 0.99 for DRS- and 0.95 for FIM-based models using the top 20 discriminant peptides. Predictive ability for each model was assessed using robust leave-one-out cross-validation with Q2 statistics of 0.64 (P = .00012) and 0.62 (P = .011) for DRS- and FIM-based models, respectively, both with a high predictive accuracy of 0.875. Identified peptides that discriminated improved functional recovery reflected heightened neuroplasticity and synaptic refinement and diminished cell death and neuroinflammation, consistent with postacute TBI pathobiology. CONCLUSIONS Produced models of urine-based peptide measures reflective of ongoing recovery pathobiology can inform on rehabilitation progress after TBI, warranting further study to assess refined stratification across a larger population and efficacy in assessing therapeutic interventions.
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Affiliation(s)
- Parantap D Patel
- Virginia Commonwealth University, School of Medicine, Richmond, VA, USA
| | | | | | - Janet P Niemeier
- Virginia Commonwealth University, School of Medicine, Richmond, VA, USA
| | - Andrew K Ottens
- Virginia Commonwealth University, School of Medicine, Richmond, VA, USA
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Banoei MM, Casault C, Metwaly SM, Winston BW. Metabolomics and Biomarker Discovery in Traumatic Brain Injury. J Neurotrauma 2019; 35:1831-1848. [PMID: 29587568 DOI: 10.1089/neu.2017.5326] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Traumatic brain injury (TBI) is one of the leading causes of disability and mortality worldwide. The TBI pathogenesis can induce broad pathophysiological consequences and clinical outcomes attributed to the complexity of the brain. Thus, the diagnosis and prognosis are important issues for the management of mild, moderate, and severe forms of TBI. Metabolomics of readily accessible biofluids is a promising tool for establishing more useful and reliable biomarkers of TBI than using clinical findings alone. Metabolites are an integral part of all biochemical and pathophysiological pathways. Metabolomic processes respond to the internal and external stimuli resulting in an alteration of metabolite concentrations. Current high-throughput and highly sensitive analytical tools are capable of detecting and quantifying small concentrations of metabolites, allowing one to measure metabolite alterations after a pathological event when compared to a normal state or a different pathological process. Further, these metabolic biomarkers could be used for the assessment of injury severity, discovery of mechanisms of injury, and defining structural damage in the brain in TBI. Metabolic biomarkers can also be used for the prediction of outcome, monitoring treatment response, in the assessment of or prognosis of post-injury recovery, and potentially in the use of neuroplasticity procedures. Metabolomics can also enhance our understanding of the pathophysiological mechanisms of TBI, both in primary and secondary injury. Thus, this review presents the promising application of metabolomics for the assessment of TBI as a stand-alone platform or in association with proteomics in the clinical setting.
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Affiliation(s)
| | - Colin Casault
- 1 Department of Critical Care Medicine, University of Calgary , Alberta, Canada
| | | | - Brent W Winston
- 2 Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology, University of Calgary , Calgary, Alberta, Canada
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Olczak M, Poniatowski ŁA, Niderla-Bielińska J, Kwiatkowska M, Chutorański D, Tarka S, Wierzba-Bobrowicz T. Concentration of microtubule associated protein tau (MAPT) in urine and saliva as a potential biomarker of traumatic brain injury in relationship with blood–brain barrier disruption in postmortem examination. Forensic Sci Int 2019; 301:28-36. [DOI: 10.1016/j.forsciint.2019.05.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 04/23/2019] [Accepted: 05/03/2019] [Indexed: 02/06/2023]
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Abstract
Although concussion has been a subject of interest for centuries, this condition remains poorly understood. The mechanistic underpinnings and accepted definition of concussion remain elusive. To make sense of these issues, this article presents a brief history of concussion studies, detailing the evolution of motivations and experimental conclusions over time. Interest in concussion as a subject of scientific inquiry has increased with growing concern about the long-term consequences of mild traumatic brain injury (TBI). Although concussion is often associated with mild TBI, these conditions-the former a neurological syndrome, the latter a neurological event-are distinct, both mechanistically and pathobiologically. Modern research primarily focuses on the study of the biomechanics, pathophysiology, potential biomarkers and neuroimaging to distinguish concussion from mild TBI. In addition, mild TBI and concussion outcomes are influenced by age, sex, and genetic differences in people. With converging experimental objectives and methodologies, future concussion research has the potential to improve clinical assessment, treatment, and preventative measures.
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Mostovenko E, Young T, Muldoon PP, Bishop L, Canal CG, Vucetic A, Zeidler-Erdely PC, Erdely A, Campen MJ, Ottens AK. Nanoparticle exposure driven circulating bioactive peptidome causes systemic inflammation and vascular dysfunction. Part Fibre Toxicol 2019; 16:20. [PMID: 31142334 PMCID: PMC6542040 DOI: 10.1186/s12989-019-0304-6] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 05/10/2019] [Indexed: 12/22/2022] Open
Abstract
Background The mechanisms driving systemic effects consequent pulmonary nanoparticle exposure remain unclear. Recent work has established the existence of an indirect process by which factors released from the lung into the circulation promote systemic inflammation and cellular dysfunction, particularly on the vasculature. However, the composition of circulating contributing factors and how they are produced remains unknown. Evidence suggests matrix protease involvement; thus, here we used a well-characterized multi-walled carbon nanotube (MWCNT) oropharyngeal aspiration model with known vascular effects to assess the distinct contribution of nanoparticle-induced peptide fragments in driving systemic pathobiology. Results Data-independent mass spectrometry enabled the unbiased quantitative characterization of 841 significant MWCNT-responses within an enriched peptide fraction, with 567 of these factors demonstrating significant correlation across animal-paired bronchoalveolar lavage and serum biofluids. A database search curated for known matrix protease substrates and predicted signaling motifs enabled identification of 73 MWCNT-responsive peptides, which were significantly associated with an abnormal cardiovascular phenotype, extracellular matrix organization, immune-inflammatory processes, cell receptor signaling, and a MWCNT-altered serum exosome population. Production of a diverse peptidomic response was supported by a wide number of upregulated matrix and lysosomal proteases in the lung after MWCNT exposure. The peptide fraction was then found bioactive, producing endothelial cell inflammation and vascular dysfunction ex vivo akin to that induced with whole serum. Results implicate receptor ligand functionality in driving systemic effects, exemplified by an identified 59-mer thrombospondin fragment, replete with CD36 modulatory motifs, that when synthesized produced an anti-angiogenic response in vitro matching that of the peptide fraction. Other identified peptides point to integrin ligand functionality and more broadly to a diversity of receptor-mediated bioactivity induced by the peptidomic response to nanoparticle exposure. Conclusion The present study demonstrates that pulmonary-sequestered nanoparticles, such as multi-walled carbon nanotubes, acutely upregulate a diverse profile of matrix proteases, and induce a complex peptidomic response across lung and blood compartments. The serum peptide fraction, having cell-surface receptor ligand properties, conveys peripheral bioactivity in promoting endothelial cell inflammation, vasodilatory dysfunction and inhibiting angiogenesis. Results here establish peptide fragments as indirect, non-cytokine mediators and putative biomarkers of systemic health outcomes from nanoparticle exposure.
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Affiliation(s)
- Ekaterina Mostovenko
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Box 980709, Richmond, VA, 23298-0709, USA
| | - Tamara Young
- Department of Pharmaceutical Sciences, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Pretal P Muldoon
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Box 980709, Richmond, VA, 23298-0709, USA
| | - Lindsey Bishop
- Pathology and Physiology Research Branch, National Institute for Occupational Safety and Health, Morgantown, WV, 26505, USA
| | - Christopher G Canal
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Box 980709, Richmond, VA, 23298-0709, USA
| | - Aleksandar Vucetic
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Box 980709, Richmond, VA, 23298-0709, USA
| | - Patti C Zeidler-Erdely
- Pathology and Physiology Research Branch, National Institute for Occupational Safety and Health, Morgantown, WV, 26505, USA
| | - Aaron Erdely
- Pathology and Physiology Research Branch, National Institute for Occupational Safety and Health, Morgantown, WV, 26505, USA
| | - Matthew J Campen
- Department of Pharmaceutical Sciences, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Andrew K Ottens
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Box 980709, Richmond, VA, 23298-0709, USA.
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Servià L, Jové M, Sol J, Pamplona R, Badia M, Montserrat N, Portero-Otin M, Trujillano J. A prospective pilot study using metabolomics discloses specific fatty acid, catecholamine and tryptophan metabolic pathways as possible predictors for a negative outcome after severe trauma. Scand J Trauma Resusc Emerg Med 2019; 27:56. [PMID: 31118076 PMCID: PMC6530007 DOI: 10.1186/s13049-019-0631-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 04/25/2019] [Indexed: 12/20/2022] Open
Abstract
Background We wanted to define metabolomic patterns in plasma to predict a negative outcome in severe trauma patients. Methods A prospective pilot study was designed to evaluate plasma metabolomic patterns, established by liquid chromatography coupled to mass spectrometry, in patients allocated to an intensive care unit (in the University Hospital Arnau de Vilanova, Lleida, Spain) in the first hours after a severe trauma (n = 48). Univariate and multivariate statistics were employed to establish potential predictors of mortality. Results Plasma of patients non surviving to trauma (n = 5) exhibited a discriminating metabolomic pattern, involving basically metabolites belonging to fatty acid and catecholamine synthesis as well as tryptophan degradation pathways. Thus, concentration of several metabolites exhibited an area under the receiver operating curve (ROC) higher than 0.84, including 3-indolelactic acid, hydroxyisovaleric acid, phenylethanolamine, cortisol, epinephrine and myristic acid. Multivariate binary regression logistic revealed that patients with higher myristic acid concentrations had a non-survival odds ratio of 2.1 (CI 95% 1.1–3.9). Conclusions Specific fatty acids, catecholamine synthesis and tryptophan degradation pathways could be implicated in a negative outcome after trauma. The metabolomic study of severe trauma patients could be helpful for biomarker proposal. Electronic supplementary material The online version of this article (10.1186/s13049-019-0631-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Luis Servià
- Critical Care Unit, University Hospital Arnau de Vilanova, 25198, Lleida, Spain
| | - Mariona Jové
- Department of Experimental Medicine, University of Lleida-Lleida Biomedical Research Institute (IRBLleida), 25198, Lleida, Spain
| | - Joaquim Sol
- Department of Experimental Medicine, University of Lleida-Lleida Biomedical Research Institute (IRBLleida), 25198, Lleida, Spain
| | - Reinald Pamplona
- Department of Experimental Medicine, University of Lleida-Lleida Biomedical Research Institute (IRBLleida), 25198, Lleida, Spain
| | - Mariona Badia
- Critical Care Unit, University Hospital Arnau de Vilanova, 25198, Lleida, Spain
| | - Neus Montserrat
- Critical Care Unit, University Hospital Arnau de Vilanova, 25198, Lleida, Spain
| | - Manuel Portero-Otin
- Department of Experimental Medicine, University of Lleida-Lleida Biomedical Research Institute (IRBLleida), 25198, Lleida, Spain.
| | - Javier Trujillano
- Critical Care Unit, University Hospital Arnau de Vilanova, 25198, Lleida, Spain.
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Predictive Role of Urinary Metabolic Profile for Abnormal MRI Score in Preterm Neonates. DISEASE MARKERS 2018; 2018:4938194. [PMID: 30402168 PMCID: PMC6191951 DOI: 10.1155/2018/4938194] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 08/26/2018] [Indexed: 12/23/2022]
Abstract
Background and Objective Early identification of neonates at risk for brain injury is important to start appropriate intervention. Urinary metabolomics is a source of potential, noninvasive biomarkers of brain disease. We studied the urinary metabolic profile at 2 and 10 days in preterm neonates with normal/mild and moderate/severe MRI abnormalities at term equivalent age. Methods Urine samples were collected at two and 10 days after birth in 30 extremely preterm infants and analyzed using proton magnetic resonance spectroscopy. A 3 T MRI was performed at term equivalent age, and images were scored for white matter (WM), cortical grey matter (cGM), deep GM, and cerebellar abnormalities. Infants were divided in two groups: normal/mild and moderately/severely abnormal MRI scores. Results No significant clustering was seen between normal/mild and moderate/severe MRI scores for all regions at both time points. The ROC curves distinguished neonates at 2 and 10 days who later developed a markedly less mature cGM score from the others (2 d: area under the curve (AUC) = 0.72, specificity (SP) = 65%, sensitivity (SE) = 75% and 10 d: AUC = 0.80, SP = 78%, SE = 80%) and a moderately to severely abnormal WM score (2 d: AUC = 0.71, specificity (SP) = 80%, sensitivity (SE) = 72% and 10 d: AUC = 0.69, SP = 64%, SE = 89%). Conclusions Early urinary spectra of preterm infants were able to discriminate metabolic profiles in patients with moderately/severely abnormal cGM and WM scores at term equivalent age. Urine spectra are promising for early identification of neonates at risk of brain damage and allow understanding of the pathogenesis of altered brain development.
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Jayaraman SP, Anand RJ, DeAntonio JH, Mangino M, Aboutanos MB, Kasirajan V, Ivatury RR, Valadka AB, Glushakova O, Hayes RL, Bachmann LM, Brophy GM, Contaifer D, Warncke UO, Brophy DF, Wijesinghe DS. Metabolomics and Precision Medicine in Trauma: The State of the Field. Shock 2018; 50:5-13. [PMID: 29280924 PMCID: PMC5995639 DOI: 10.1097/shk.0000000000001093] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Trauma is a major problem in the United States. Mortality from trauma is the number one cause of death under the age of 45 in the United States and is the third leading cause of death for all age groups. There are approximately 200,000 deaths per year due to trauma in the United States at a cost of over $671 billion in combined healthcare costs and lost productivity. Unsurprisingly, trauma accounts for approximately 30% of all life-years lost in the United States. Due to immense development of trauma systems, a large majority of trauma patients survive the injury, but then go on to die from complications arising from the injury. These complications are marked by early and significant metabolic changes accompanied by inflammatory responses that lead to progressive organ failure and, ultimately, death. Early resuscitative and surgical interventions followed by close monitoring to identify and rescue treatment failures are key to successful outcomes. Currently, the adequacy of resuscitation is measured using vital signs, noninvasive methods such as bedside echocardiography or stroke volume variation, and other laboratory endpoints of resuscitation, such as lactate and base deficit. However, these methods may be too crude to understand cellular and subcellular changes that may be occurring in trauma patients. Better diagnostic and therapeutic markers are needed to assess the adequacy of interventions and monitor responses at a cellular and subcellular level and inform clinical decision-making before complications are clinically apparent. The developing field of metabolomics holds great promise in the identification and application of biochemical markers toward the clinical decision-making process.
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Affiliation(s)
- Sudha P Jayaraman
- Department of Surgery, Division of Acute Care Surgical Services, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Rahul J Anand
- Department of Surgery, Division of Acute Care Surgical Services, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Jonathan H DeAntonio
- Department of Surgery, Division of Acute Care Surgical Services, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Martin Mangino
- Department of Surgery, Division of Acute Care Surgical Services, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Michel B Aboutanos
- Department of Surgery, Division of Acute Care Surgical Services, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Vigneshwar Kasirajan
- Department of Surgery, Division of Cardiothoracic Surgery, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Rao R Ivatury
- Department of Surgery, Division of Acute Care Surgical Services, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Alex B Valadka
- Department of Neurosurgery, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Olena Glushakova
- Department of Neurosurgery, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Ronald L Hayes
- Department of Neurosurgery, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
- Center of Innovative Research, Banyan Biomarkers, Inc., Alachua, Florida
| | - Lorin M Bachmann
- Department of Pathology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Gretchen M Brophy
- Department of Pharmacotherapy and Outcomes Science, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Daniel Contaifer
- Department of Pharmacotherapy and Outcomes Science, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Urszula O Warncke
- Department of Pharmacotherapy and Outcomes Science, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Donald F Brophy
- Department of Pharmacotherapy and Outcomes Science, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Dayanjan S Wijesinghe
- Department of Surgery, Division of Acute Care Surgical Services, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
- Department of Pharmacotherapy and Outcomes Science, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
- da Vinci Center, Virginia Commonwealth University, Richmond, Virginia
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Ramadan N, Ghazale H, El-Sayyad M, El-Haress M, Kobeissy FH. Neuroproteomics Studies: Challenges and Updates. Methods Mol Biol 2017; 1598:3-19. [PMID: 28508355 DOI: 10.1007/978-1-4939-6952-4_1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The Human Genome Project in 2003 has resulted in the complete sequence of ~99% of the human genome paving the road for the Human Proteome Project (HPP) assessing the full characterization of the translated protein map of the 20,300 protein-coding genes. Consequently, the emerging of the proteomics field has successfully been adopted as the method of choice for the proteome characterization. Proteomics is a term that is used to encompass multidisciplinary approaches combining different technologies that aim to study the entire spectrum of protein changes at a specific physiological condition. Proteomics research has shown excellent outcomes in different fields, among which is neuroscience; however, the complexity of the nervous systems necessitated the genesis of a new subdiscipline of proteomics termed as "neuroproteomics." Neuroproteomics studies involve assessing the quantitative and qualitative aspects of nervous system components encompassing global dynamic events underlying various brain-related disorders ranging from neuropsychiatric disorders, degenerative disorders, mental illness, and most importantly brain-specific neurotrauma-related injuries. In this introductory chapter, we will provide a brief historical perspective on the field of neuroproteomics. In doing so, we will highlight on the recent applications of neuroproteomics in the areas of neurotrauma, an area that has benefitted from neuroproteomics in terms of biomarker research, spatiotemporal injury mechanism, and its use to translate its findings from experimental settings to human translational applications. Importantly, this chapter will include some recommendation to the general studies in the area of neuroproteomics and the need to move from this field from being a descriptive, hypothesis-free approach to being an independent mature scientific discipline.
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Affiliation(s)
- Naify Ramadan
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Hussein Ghazale
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | | | - Mohamad El-Haress
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
- Faculty of Medicine, Beirut Arab University, Beirut, Lebanon
| | - Firas H Kobeissy
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
- Department of Psychiatry, Center for Neuroproteomics and Biomarkers Research, University of Florida, Gainesville, FL, USA.
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Biomarkers of Traumatic Brain Injury: Temporal Changes in Body Fluids. eNeuro 2016; 3:eN-REV-0294-16. [PMID: 28032118 PMCID: PMC5175263 DOI: 10.1523/eneuro.0294-16.2016] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Revised: 11/17/2016] [Accepted: 11/28/2016] [Indexed: 12/31/2022] Open
Abstract
Traumatic brain injuries (TBIs) are caused by a hit to the head or a sudden acceleration/deceleration movement of the head. Mild TBIs (mTBIs) and concussions are difficult to diagnose. Imaging techniques often fail to find alterations in the brain, and computed tomography exposes the patient to radiation. Brain-specific biomolecules that are released upon cellular damage serve as another means of diagnosing TBI and assessing the severity of injury. These biomarkers can be detected from samples of body fluids using laboratory tests. Dozens of TBI biomarkers have been studied, and research related to them is increasing. We reviewed the recent literature and selected 12 biomarkers relevant to rapid and accurate diagnostics of TBI for further evaluation. The objective was especially to get a view of the temporal profiles of the biomarkers’ rise and decline after a TBI event. Most biomarkers are rapidly elevated after injury, and they serve as diagnostics tools for some days. Some biomarkers are elevated for months after injury, although the literature on long-term biomarkers is scarce. Clinical utilization of TBI biomarkers is still at a very early phase despite years of active research.
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Aragon M, Erdely A, Bishop L, Salmen R, Weaver J, Liu J, Hall P, Eye T, Kodali V, Zeidler-Erdely P, Stafflinger JE, Ottens AK, Campen MJ. MMP-9-Dependent Serum-Borne Bioactivity Caused by Multiwalled Carbon Nanotube Exposure Induces Vascular Dysfunction via the CD36 Scavenger Receptor. Toxicol Sci 2016; 150:488-98. [PMID: 26801584 PMCID: PMC4966280 DOI: 10.1093/toxsci/kfw015] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Inhalation of multiwalled carbon nanotubes (MWCNT) causes systemic effects including vascular inflammation, endothelial dysfunction, and acute phase protein expression. MWCNTs translocate only minimally beyond the lungs, thus cardiovascular effects thereof may be caused by generation of secondary biomolecular factors from MWCNT-pulmonary interactions that spill over into the systemic circulation. Therefore, we hypothesized that induced matrix metalloproteinase-9 (MMP-9) is a generator of factors that, in turn, drive vascular effects through ligand-receptor interactions with the multiligand pattern recognition receptor, CD36. To test this, wildtype (WT; C57BL/6) and MMP-9(-/-)mice were exposed to varying doses (10 or 40 µg) of MWCNTs via oropharyngeal aspiration and serum was collected at 4 and 24 h postexposure. Endothelial cells treated with serum from MWCNT-exposed WT mice exhibited significantly reduced nitric oxide (NO) generation, as measured by electron paramagnetic resonance, an effect that was independent of NO scavenging. Serum from MWCNT-exposed WT mice inhibited acetylcholine (ACh)-mediated relaxation of aortic rings at both time points. Absence of CD36 on the aortic rings (obtained from CD36-deficient mice) abolished the serum-induced impairment of vasorelaxation. MWCNT exposure induced MMP-9 protein levels in both bronchoalveolar lavage and whole lung lysates. Serum from MMP-9(-/-)mice exposed to MWCNT did not diminish the magnitude of vasorelaxation in naïve WT aortic rings, although a modest right shift of the ACh dose-response curve was observed in both MWCNT dose groups relative to controls. In conclusion, pulmonary exposure to MWCNT leads to elevated MMP-9 levels and MMP-9-dependent generation of circulating bioactive factors that promote endothelial dysfunction and decreased NO bioavailability via interaction with vascular CD36.
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Affiliation(s)
- Mario Aragon
- *Department of Pharmaceutical Sciences, University of New Mexico College of Pharmacy, Albuquerque, New Mexico 87131
| | - Aaron Erdely
- National Institute for Occupational Safety and Health, Morgantown, West Virginia 26508
| | - Lindsey Bishop
- National Institute for Occupational Safety and Health, Morgantown, West Virginia 26508
| | - Rebecca Salmen
- National Institute for Occupational Safety and Health, Morgantown, West Virginia 26508
| | - John Weaver
- *Department of Pharmaceutical Sciences, University of New Mexico College of Pharmacy, Albuquerque, New Mexico 87131
| | - Jim Liu
- *Department of Pharmaceutical Sciences, University of New Mexico College of Pharmacy, Albuquerque, New Mexico 87131
| | - Pamela Hall
- *Department of Pharmaceutical Sciences, University of New Mexico College of Pharmacy, Albuquerque, New Mexico 87131
| | - Tracy Eye
- National Institute for Occupational Safety and Health, Morgantown, West Virginia 26508
| | - Vamsi Kodali
- National Institute for Occupational Safety and Health, Morgantown, West Virginia 26508
| | - Patti Zeidler-Erdely
- National Institute for Occupational Safety and Health, Morgantown, West Virginia 26508
| | - Jillian E Stafflinger
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia 23298
| | - Andrew K Ottens
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia 23298
| | - Matthew J Campen
- *Department of Pharmaceutical Sciences, University of New Mexico College of Pharmacy, Albuquerque, New Mexico 87131
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An M, Gao Y. Urinary Biomarkers of Brain Diseases. GENOMICS PROTEOMICS & BIOINFORMATICS 2016; 13:345-54. [PMID: 26751805 PMCID: PMC4747650 DOI: 10.1016/j.gpb.2015.08.005] [Citation(s) in RCA: 89] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 08/01/2015] [Accepted: 08/14/2015] [Indexed: 12/12/2022]
Abstract
Biomarkers are the measurable changes associated with a physiological or pathophysiological process. Unlike blood, urine is not subject to homeostatic mechanisms. Therefore, greater fluctuations could occur in urine than in blood, better reflecting the changes in human body. The roadmap of urine biomarker era was proposed. Although urine analysis has been attempted for clinical diagnosis, and urine has been monitored during the progression of many diseases, particularly urinary system diseases, whether urine can reflect brain disease status remains uncertain. As some biomarkers of brain diseases can be detected in the body fluids such as cerebrospinal fluid and blood, there is a possibility that urine also contain biomarkers of brain diseases. This review summarizes the clues of brain diseases reflected in the urine proteome and metabolome.
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Affiliation(s)
- Manxia An
- Department of Pathophysiology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing 100005, China; School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
| | - Youhe Gao
- Department of Pathophysiology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing 100005, China; Department of Biochemistry and Molecular Biology, Beijing Normal University, Beijing Key Laboratory of Gene Engineering and Biotechnology, Beijing 100875, China.
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Kulbe JR, Geddes JW. Current status of fluid biomarkers in mild traumatic brain injury. Exp Neurol 2016; 275 Pt 3:334-352. [PMID: 25981889 PMCID: PMC4699183 DOI: 10.1016/j.expneurol.2015.05.004] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Revised: 05/05/2015] [Accepted: 05/08/2015] [Indexed: 01/07/2023]
Abstract
Mild traumatic brain injury (mTBI) affects millions of people annually and is difficult to diagnose. Mild injury is insensitive to conventional imaging techniques and diagnoses are often made using subjective criteria such as self-reported symptoms. Many people who sustain a mTBI develop persistent post-concussive symptoms. Athletes and military personnel are at great risk for repeat injury which can result in second impact syndrome or chronic traumatic encephalopathy. An objective and quantifiable measure, such as a serum biomarker, is needed to aid in mTBI diagnosis, prognosis, return to play/duty assessments, and would further elucidate mTBI pathophysiology. The majority of TBI biomarker research focuses on severe TBI with few studies specific to mild injury. Most studies use a hypothesis-driven approach, screening biofluids for markers known to be associated with TBI pathophysiology. This approach has yielded limited success in identifying markers that can be used clinically, additional candidate biomarkers are needed. Innovative and unbiased methods such as proteomics, microRNA arrays, urinary screens, autoantibody identification and phage display would complement more traditional approaches to aid in the discovery of novel mTBI biomarkers.
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Affiliation(s)
- Jacqueline R Kulbe
- Spinal Cord and Brain Injury Research Center, College of Medicine, University of Kentucky, Lexington, KY, 40536-0509, USA,; Department of Anatomy and Neurobiology, College of Medicine, University of Kentucky, Lexington, KY, 40536-0509, USA
| | - James W Geddes
- Spinal Cord and Brain Injury Research Center, College of Medicine, University of Kentucky, Lexington, KY, 40536-0509, USA,; Department of Anatomy and Neurobiology, College of Medicine, University of Kentucky, Lexington, KY, 40536-0509, USA.
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20
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Expert consensus document: Mind the gaps—advancing research into short-term and long-term neuropsychological outcomes of youth sports-related concussions. Nat Rev Neurol 2015; 11:230-44. [PMID: 25776822 DOI: 10.1038/nrneurol.2015.30] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Sports-related concussions and repetitive subconcussive exposure are increasingly recognized as potential dangers to paediatric populations, but much remains unknown about the short-term and long-term consequences of these events, including potential cognitive impairment and risk of later-life dementia. This Expert Consensus Document is the result of a 1-day meeting convened by Safe Kids Worldwide, the Alzheimer's Drug Discovery Foundation, and the Andrews Institute for Orthopaedics and Sports Medicine. The goal is to highlight knowledge gaps and areas of critically needed research in the areas of concussion science, dementia, genetics, diagnostic and prognostic biomarkers, neuroimaging, sports injury surveillance, and information sharing. For each of these areas, we propose clear and achievable paths to improve the understanding, treatment and prevention of youth sports-related concussions.
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Abstract
Effective traumatic brain injury (TBI) therapeutics remains stubbornly elusive. Efforts in the field have been challenged by the heterogeneity of clinical TBI, with greater complexity among underlying molecular phenotypes than initially conceived. Future research must confront the multitude of factors comprising this heterogeneity, representing a big data challenge befitting the coming informatics age. Proteomics is poised to serve a central role in prescriptive therapeutic development because it offers an efficient endpoint within which to assess post-TBI biochemistry. We examine rationale for multifactor TBI proteomic studies and the particular importance of temporal profiling in defining biochemical sequences and guiding therapeutic development. Finally, we offer perspective on repurposing biofluid proteomics to develop theragnostic assays with which to prescribe, monitor and assess pharmaceutics for improved translation and outcome for patients with TBI.
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Affiliation(s)
- Pavel N. Lizhnyak
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, VA 23298, USA
| | - Andrew K. Ottens
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, VA 23298, USA
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Distler U, Kuharev J, Tenzer S. Biomedical applications of ion mobility-enhanced data-independent acquisition-based label-free quantitative proteomics. Expert Rev Proteomics 2014; 11:675-84. [DOI: 10.1586/14789450.2014.971114] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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