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Leventoux N, Morimoto S, Ishikawa M, Nakamura S, Ozawa F, Kobayashi R, Watanabe H, Supakul S, Okamoto S, Zhou Z, Kobayashi H, Kato C, Hirokawa Y, Aiba I, Takahashi S, Shibata S, Takao M, Yoshida M, Endo F, Yamanaka K, Kokubo Y, Okano H. Aberrant CHCHD2-associated mitochondriopathy in Kii ALS/PDC astrocytes. Acta Neuropathol 2024; 147:84. [PMID: 38750212 DOI: 10.1007/s00401-024-02734-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/28/2024] [Accepted: 04/15/2024] [Indexed: 05/25/2024]
Abstract
Amyotrophic Lateral Sclerosis/Parkinsonism-Dementia Complex (ALS/PDC), a rare and complex neurological disorder, is predominantly observed in the Western Pacific islands, including regions of Japan, Guam, and Papua. This enigmatic condition continues to capture medical attention due to affected patients displaying symptoms that parallel those seen in either classical amyotrophic lateral sclerosis (ALS) or Parkinson's disease (PD). Distinctly, postmortem examinations of the brains of affected individuals have shown the presence of α-synuclein aggregates and TDP-43, which are hallmarks of PD and classical ALS, respectively. These observations are further complicated by the detection of phosphorylated tau, accentuating the multifaceted proteinopathic nature of ALS/PDC. The etiological foundations of this disease remain undetermined, and genetic investigations have yet to provide conclusive answers. However, emerging evidence has implicated the contribution of astrocytes, pivotal cells for maintaining brain health, to neurodegenerative onset, and likely to play a significant role in the pathogenesis of ALS/PDC. Leveraging advanced induced pluripotent stem cell technology, our team cultivated multiple astrocyte lines to further investigate the Japanese variant of ALS/PDC (Kii ALS/PDC). CHCHD2 emerged as a significantly dysregulated gene when disease astrocytes were compared to healthy controls. Our analyses also revealed imbalances in the activation of specific pathways: those associated with astrocytic cilium dysfunction, known to be involved in neurodegeneration, and those related to major neurological disorders, including classical ALS and PD. Further in-depth examinations revealed abnormalities in the mitochondrial morphology and metabolic processes of the affected astrocytes. A particularly striking observation was the reduced expression of CHCHD2 in the spinal cord, motor cortex, and oculomotor nuclei of patients with Kii ALS/PDC. In summary, our findings suggest a potential reduction in the support Kii ALS/PDC astrocytes provide to neurons, emphasizing the need to explore the role of CHCHD2 in maintaining mitochondrial health and its implications for the disease.
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Affiliation(s)
- Nicolas Leventoux
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Satoru Morimoto
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Keio Regenerative Medicine Research Centre, Keio University, Kanagawa, Japan
- Division of Neurodegenerative Disease Research, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
- Department of Oncologic Pathology, Mie University Graduate School of Medicine, Mie, Japan
| | - Mitsuru Ishikawa
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Shiho Nakamura
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Keio Regenerative Medicine Research Centre, Keio University, Kanagawa, Japan
- Division of Neurodegenerative Disease Research, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Fumiko Ozawa
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Keio Regenerative Medicine Research Centre, Keio University, Kanagawa, Japan
- Division of Neurodegenerative Disease Research, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Reona Kobayashi
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Hirotaka Watanabe
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Keio Regenerative Medicine Research Centre, Keio University, Kanagawa, Japan
| | - Sopak Supakul
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Satoshi Okamoto
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Zhi Zhou
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Hiroya Kobayashi
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Keio Regenerative Medicine Research Centre, Keio University, Kanagawa, Japan
- Division of Neurodegenerative Disease Research, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Chris Kato
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Keio Regenerative Medicine Research Centre, Keio University, Kanagawa, Japan
- Division of Neurodegenerative Disease Research, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Yoshifumi Hirokawa
- Department of Oncologic Pathology, Mie University Graduate School of Medicine, Mie, Japan
| | - Ikuko Aiba
- Department of Neurology, NHO, Higashinagoya National Hospital, Aichi, Japan
| | - Shinichi Takahashi
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Keio Regenerative Medicine Research Centre, Keio University, Kanagawa, Japan
- Department of Neurology and Stroke, International Medical Centre, Saitama Medical University, Saitama, Japan
| | - Shinsuke Shibata
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Division of Microscopic Anatomy, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Masaki Takao
- Department of Clinical Laboratory, National Centre of Neurology and Psychiatry (NCNP), Tokyo, Japan
| | - Mari Yoshida
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Aichi, Japan
| | - Fumito Endo
- Department of Neuroscience and Pathobiology, Research Institute of Environmental Medicine, Nagoya University, Aichi, Japan
| | - Koji Yamanaka
- Department of Neuroscience and Pathobiology, Research Institute of Environmental Medicine, Nagoya University, Aichi, Japan
| | - Yasumasa Kokubo
- Kii ALS/PDC Research Centre, Mie University Graduate School of Regional Innovation Studies, Mie, Japan.
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan.
- Keio Regenerative Medicine Research Centre, Keio University, Kanagawa, Japan.
- Division of Neurodegenerative Disease Research, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.
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Gaur P, Bryois J, Calini D, Foo L, Hoozemans JJM, Malhotra D, Menon V. Single-nucleus and spatial transcriptomic profiling of human temporal cortex and white matter reveals novel associations with AD pathology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.23.590816. [PMID: 38712204 PMCID: PMC11071354 DOI: 10.1101/2024.04.23.590816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder with complex pathological manifestations and is the leading cause of cognitive decline and dementia in elderly individuals. A major goal in AD research is to identify new therapeutic pathways by studying the molecular and cellular changes in the disease, either downstream or upstream of the pathological hallmarks. In this study, we present a comprehensive investigation of cellular heterogeneity from the temporal cortex region of 40 individuals, comprising healthy donors and individuals with differing tau and amyloid burden. Using single-nucleus transcriptome analysis of 430,271 nuclei from both gray and white matter of these individuals, we identified cell type-specific subclusters in both neuronal and glial cell types with varying degrees of association with AD pathology. In particular, these associations are present in layer specific glutamatergic (excitatory) neuronal types, along with GABAergic (inhibitory) neurons and glial subtypes. These associations were observed in early as well as late pathological progression. We extended this analysis by performing multiplexed in situ hybridization using the CARTANA platform, capturing 155 genes in 13 individuals with varying levels of tau pathology. By modeling the spatial distribution of these genes and their associations with the pathology, we not only replicated key findings from our snRNA data analysis, but also identified a set of cell type-specific genes that show selective enrichment or depletion near pathological inclusions. Together, our findings allow us to prioritize specific cell types and pathways for targeted interventions at various stages of pathological progression in AD.
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Affiliation(s)
- Pallavi Gaur
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, NY, USA
| | - Julien Bryois
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center, CH-4070, Basel, Switzerland
| | - Daniela Calini
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center, CH-4070, Basel, Switzerland
| | - Lynette Foo
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center, CH-4070, Basel, Switzerland
| | - Jeroen J M Hoozemans
- Department of Pathology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands
| | - Dheeraj Malhotra
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center, CH-4070, Basel, Switzerland
- MS Research Unit, Biogen, Cambridge, MA, USA
| | - Vilas Menon
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, NY, USA
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Faizan M, Sachan N, Verma O, Sarkar A, Rawat N, Pratap Singh M. Cerebrospinal fluid protein biomarkers in Parkinson's disease. Clin Chim Acta 2024; 556:117848. [PMID: 38417781 DOI: 10.1016/j.cca.2024.117848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/24/2024] [Accepted: 02/25/2024] [Indexed: 03/01/2024]
Abstract
Proteomic profiling is an effective way to identify biomarkers for Parkinson's disease (PD). Cerebrospinal fluid (CSF) has direct connectivity with the brain and could be a source of finding biomarkers and their clinical implications. Comparative proteomic profiling has shown that a group of differentially displayed proteins exist. The studies performed using conventional and classical tools also supported the occurrence of these proteins. Many studies have highlighted the potential of CSF proteomic profiling for biomarker identification and their clinical applications. Some of these proteins are useful for disease diagnosis and prediction. Proteomic profiling of CSF also has immense potential to distinguish PD from similar neurodegenerative disorders. A few protein biomarkers help in fundamental knowledge generation and clinical interpretation. However, the specific biomarker of PD is not yet known. The use of proteomic approaches in clinical settings is also rare. A large-scale, multi-centric, multi-population and multi-continental study using multiple proteomic tools is warranted. Such a study can provide valuable, comprehensive and reliable information for a better understanding of PD and the development of specific biomarkers. The current article sheds light on the role of CSF proteomic profiling in identifying biomarkers of PD and their clinical implications. The article also explains the achievements, obstacles and hopes for future directions of this approach.
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Affiliation(s)
- Mohd Faizan
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Nidhi Sachan
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India
| | - Oyashvi Verma
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Alika Sarkar
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Neeraj Rawat
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Mahendra Pratap Singh
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India; Capacity Building and Knowledge Services, ASSIST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India.
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4
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Oh HSH, Rutledge J, Nachun D, Pálovics R, Abiose O, Moran-Losada P, Channappa D, Urey DY, Kim K, Sung YJ, Wang L, Timsina J, Western D, Liu M, Kohlfeld P, Budde J, Wilson EN, Guen Y, Maurer TM, Haney M, Yang AC, He Z, Greicius MD, Andreasson KI, Sathyan S, Weiss EF, Milman S, Barzilai N, Cruchaga C, Wagner AD, Mormino E, Lehallier B, Henderson VW, Longo FM, Montgomery SB, Wyss-Coray T. Organ aging signatures in the plasma proteome track health and disease. Nature 2023; 624:164-172. [PMID: 38057571 PMCID: PMC10700136 DOI: 10.1038/s41586-023-06802-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 10/31/2023] [Indexed: 12/08/2023]
Abstract
Animal studies show aging varies between individuals as well as between organs within an individual1-4, but whether this is true in humans and its effect on age-related diseases is unknown. We utilized levels of human blood plasma proteins originating from specific organs to measure organ-specific aging differences in living individuals. Using machine learning models, we analysed aging in 11 major organs and estimated organ age reproducibly in five independent cohorts encompassing 5,676 adults across the human lifespan. We discovered nearly 20% of the population show strongly accelerated age in one organ and 1.7% are multi-organ agers. Accelerated organ aging confers 20-50% higher mortality risk, and organ-specific diseases relate to faster aging of those organs. We find individuals with accelerated heart aging have a 250% increased heart failure risk and accelerated brain and vascular aging predict Alzheimer's disease (AD) progression independently from and as strongly as plasma pTau-181 (ref. 5), the current best blood-based biomarker for AD. Our models link vascular calcification, extracellular matrix alterations and synaptic protein shedding to early cognitive decline. We introduce a simple and interpretable method to study organ aging using plasma proteomics data, predicting diseases and aging effects.
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Affiliation(s)
- Hamilton Se-Hwee Oh
- Graduate Program in Stem Cell and Regenerative Medicine, Stanford University, Stanford, CA, USA
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Jarod Rutledge
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Graduate Program in Genetics, Stanford University, Stanford, CA, USA
| | - Daniel Nachun
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Róbert Pálovics
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Olamide Abiose
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Patricia Moran-Losada
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Divya Channappa
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Deniz Yagmur Urey
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Department of Bioengineering, Stanford University School of Engineering, Stanford, CA, USA
| | - Kate Kim
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Yun Ju Sung
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Lihua Wang
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Jigyasha Timsina
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Dan Western
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Menghan Liu
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Pat Kohlfeld
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John Budde
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Edward N Wilson
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Yann Guen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Taylor M Maurer
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael Haney
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Andrew C Yang
- Departments of Neurology and Anatomy, University of California San Francisco, San Francisco, CA, USA
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Bakar Aging Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Zihuai He
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Katrin I Andreasson
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Sanish Sathyan
- Departments of Medicine and Genetics, Institute for Aging Research, Albert Einstein College of Medicine, New York, NY, USA
| | - Erica F Weiss
- Department of Neurology, Montefiore Medical Center, New York, NY, USA
| | - Sofiya Milman
- Departments of Medicine and Genetics, Institute for Aging Research, Albert Einstein College of Medicine, New York, NY, USA
| | - Nir Barzilai
- Departments of Medicine and Genetics, Institute for Aging Research, Albert Einstein College of Medicine, New York, NY, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Anthony D Wagner
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Elizabeth Mormino
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Benoit Lehallier
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Victor W Henderson
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Frank M Longo
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Stephen B Montgomery
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Tony Wyss-Coray
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
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5
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Nuñez-delMoral A, Bianchi PC, Brocos-Mosquera I, Anesio A, Palombo P, Camarini R, Cruz FC, Callado LF, Vialou V, Erdozain AM. The Matricellular Protein Hevin Is Involved in Alcohol Use Disorder. Biomolecules 2023; 13:biom13020234. [PMID: 36830603 PMCID: PMC9953008 DOI: 10.3390/biom13020234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 01/16/2023] [Accepted: 01/21/2023] [Indexed: 01/27/2023] Open
Abstract
Astrocytic-secreted matricellular proteins have been shown to influence various aspects of synaptic function. More recently, they have been found altered in animal models of psychiatric disorders such as drug addiction. Hevin (also known as Sparc-like 1) is a matricellular protein highly expressed in the adult brain that has been implicated in resilience to stress, suggesting a role in motivated behaviors. To address the possible role of hevin in drug addiction, we quantified its expression in human postmortem brains and in animal models of alcohol abuse. Hevin mRNA and protein expression were analyzed in the postmortem human brain of subjects with an antemortem diagnosis of alcohol use disorder (AUD, n = 25) and controls (n = 25). All the studied brain regions (prefrontal cortex, hippocampus, caudate nucleus and cerebellum) in AUD subjects showed an increase in hevin levels either at mRNA or/and protein levels. To test if this alteration was the result of alcohol exposure or indicative of a susceptibility factor to alcohol consumption, mice were exposed to different regimens of intraperitoneal alcohol administration. Hevin protein expression was increased in the nucleus accumbens after withdrawal followed by a ethanol challenge. The role of hevin in AUD was determined using an RNA interference strategy to downregulate hevin expression in nucleus accumbens astrocytes, which led to increased ethanol consumption. Additionally, ethanol challenge after withdrawal increased hevin levels in blood plasma. Altogether, these results support a novel role for hevin in the neurobiology of AUD.
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Affiliation(s)
- Amaia Nuñez-delMoral
- Department of Pharmacology, University of the Basque Country, UPV/EHU, 48940 Leioa, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - Paula C. Bianchi
- Department of Pharmacology, Universidade Federal de São Paulo-UNIFESP, São Paulo 04023-062, Brazil
| | - Iria Brocos-Mosquera
- Department of Pharmacology, University of the Basque Country, UPV/EHU, 48940 Leioa, Spain
| | - Augusto Anesio
- Department of Pharmacology, Universidade Federal de São Paulo-UNIFESP, São Paulo 04023-062, Brazil
| | - Paola Palombo
- Department of Pharmacology, Universidade Federal de São Paulo-UNIFESP, São Paulo 04023-062, Brazil
| | - Rosana Camarini
- Department of Pharmacology, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo 05508-000, Brazil
| | - Fabio C. Cruz
- Department of Pharmacology, Universidade Federal de São Paulo-UNIFESP, São Paulo 04023-062, Brazil
| | - Luis F. Callado
- Department of Pharmacology, University of the Basque Country, UPV/EHU, 48940 Leioa, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
- Biocruces-Bizkaia Health Research Institute, 48903 Barakaldo, Spain
| | - Vincent Vialou
- Institute of Biology Paris Seine, Neuroscience Paris Seine, CNRS UMR8246, INSERM U1130, Sorbonne Université, 75005 Paris, France
- Correspondence: (V.V.); (A.M.E.); Tel.: +33-1-44-27-60-98 (V.V.); +34-601-28-48 (A.M.E.)
| | - Amaia M. Erdozain
- Department of Pharmacology, University of the Basque Country, UPV/EHU, 48940 Leioa, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
- Correspondence: (V.V.); (A.M.E.); Tel.: +33-1-44-27-60-98 (V.V.); +34-601-28-48 (A.M.E.)
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6
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Chang KH, Cheng ML, Lo CJ, Fan CM, Wu YR, Chen CM. Alternations of Lipoprotein Profiles in the Plasma as Biomarkers of Huntington's Disease. Cells 2023; 12:cells12030385. [PMID: 36766727 PMCID: PMC9913722 DOI: 10.3390/cells12030385] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 01/24/2023] Open
Abstract
Alterations in lipid composition and disturbed lipoprotein metabolism are involved in the pathomechanism of Huntington's disease (HD). Here, we measured 112 lipoprotein subfractions and components in the plasma of 20 normal controls, 24 symptomatic (sympHD) and 9 presymptomatic (preHD) HD patients. Significant changes were found in 30 lipoprotein subfractions and components in all HD patients. Plasma levels of total cholesterol (CH), apolipoprotein (Apo)B, ApoB-particle number (PN), and components of low-density lipoprotein (LDL) were lower in preHD and sympHD patients. Components of LDL4, LDL5, LDL6 and high-density lipoprotein (HDL)4 demonstrated lower levels in preHD and sympHD patients compared with controls. Components in LDL3 displayed lower levels in sympHD compared with the controls, whereas components in very low-density lipoprotein (VLDL)5 were higher in sympHD patients compared to the controls. The levels of components in HDL4 and VLDL5 demonstrated correlation with the scores of motor assessment, independence scale or functional capacity of Unified Huntington's Disease Rating Scale. These findings indicate the potential of components of VLDL5, LDL3, LDL4, LDL5 and HDL4 to serve as the biomarkers for HD diagnosis and disease progression, and demonstrate substantial evidence of the involvement of lipids and apolipoproteins in HD pathogenesis.
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Affiliation(s)
- Kuo-Hsuan Chang
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center, Taoyuan 333, Taiwan
- College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Mei-Ling Cheng
- Department of Biomedical Sciences, Chang Gung University, Taoyuan 333, Taiwan
- Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Chi-Jen Lo
- Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333, Taiwan
| | - Chun-Ming Fan
- Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333, Taiwan
| | - Yih-Ru Wu
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center, Taoyuan 333, Taiwan
- College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Chiung-Mei Chen
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center, Taoyuan 333, Taiwan
- College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
- Correspondence: ; Tel.: +886-3-3281200 (ext. 8729); Fax: +886-3-3288849
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Haque SS. Biomarkers in the diagnosis of neurodegenerative diseases. RUDN JOURNAL OF MEDICINE 2022. [DOI: 10.22363/2313-0245-2022-26-4-431-440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Biomarkers are molecules that behave as of biological states. Ideally, they should have high sensitivity, specificity, and accuracy in reflecting the total disease burden. The review discusses the current status of biomarkers used in neurological disorders. Neurodegenerative diseases are a heterogeneous group disorders characterized by progressive loss of structure and function of the central nervous system or peripheral nervous system. The review discusses the main biomarkers that have predictive value for describing clinical etiology, pathophysiology, and intervention strategies. Preciseness and reliability are one of important requirement for good biomarker. As a result of the analysis of literature data, it was revealed that beta-amyloid, total tau protein and its phosphorylated forms are the first biochemical biomarkers of neurodegenerative diseases measured in cerebrospinal fluid, but these markers are dependent upon invasive lumbar puncture and therefore it’s a cumbersome process for patients. Among the various biomarkers of neurodegenerative diseases, special attention is paid to miRNAs. MicroRNAs, important biomarkers in many disease states, including neurodegenerative disorders, make them promising candidates that may lead to identify new therapeutic targets. Conclusions. Biomarkers of neurological disease are present optimal amount in the cerebrospinal fluid but they are also present in blood at low levels. The data obtained reveal the predictive value of molecular diagnostics of neurodegenerative disorders and the need for its wider use.
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The Emerging Roles of Extracellular Chaperones in Complement Regulation. Cells 2022; 11:cells11233907. [PMID: 36497163 PMCID: PMC9738919 DOI: 10.3390/cells11233907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/01/2022] [Accepted: 12/01/2022] [Indexed: 12/09/2022] Open
Abstract
The immune system is essential to protect organisms from internal and external threats. The rapidly acting, non-specific innate immune system includes complement, which initiates an inflammatory cascade and can form pores in the membranes of target cells to induce cell lysis. Regulation of protein homeostasis (proteostasis) is essential for normal cellular and organismal function, and has been implicated in processes controlling immunity and infection. Chaperones are key players in maintaining proteostasis in both the intra- and extracellular environments. Whilst intracellular proteostasis is well-characterised, the role of constitutively secreted extracellular chaperones (ECs) is less well understood. ECs may interact with invading pathogens, and elements of the subsequent immune response, including the complement pathway. Both ECs and complement can influence the progression of neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Huntington's disease and amyotrophic lateral sclerosis, as well as other diseases including kidney diseases and diabetes. This review will examine known and recently discovered ECs, and their roles in immunity, with a specific focus on the complement pathway.
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Saunders TS, Gadd DA, Spires‐Jones TL, King D, Ritchie C, Muniz‐Terrera G. Associations between cerebrospinal fluid markers and cognition in ageing and dementia: A systematic review. Eur J Neurosci 2022; 56:5650-5713. [PMID: 35338546 PMCID: PMC9790745 DOI: 10.1111/ejn.15656] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/08/2022] [Accepted: 03/13/2022] [Indexed: 12/30/2022]
Abstract
A biomarker associated with cognition in neurodegenerative dementias would aid in the early detection of disease progression, complement clinical staging and act as a surrogate endpoint in clinical trials. The current systematic review evaluates the association between cerebrospinal fluid protein markers of synapse loss and neuronal injury and cognition. We performed a systematic search which revealed 67 studies reporting an association between cerebrospinal fluid markers of interest and neuropsychological performance. Despite the substantial heterogeneity between studies, we found some evidence for an association between neurofilament-light and worse cognition in Alzheimer's diseases, frontotemporal dementia and typical cognitive ageing. Moreover, there was an association between cerebrospinal fluid neurogranin and cognition in those with an Alzheimer's-like cerebrospinal fluid biomarker profile. Some evidence was found for cerebrospinal fluid neuronal pentraxin-2 as a correlate of cognition across dementia syndromes. Due to the substantial heterogeneity of the field, no firm conclusions can be drawn from this review. Future research should focus on improving standardization and reporting as well as establishing the importance of novel markers such as neuronal pentraxin-2 and whether such markers can predict longitudinal cognitive decline.
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Affiliation(s)
- Tyler S. Saunders
- UK Dementia Research InstituteThe University of EdinburghEdinburghUK,Center for Discovery Brain SciencesThe University of EdinburghEdinburghUK,Center for Clinical Brain SciencesThe University of EdinburghEdinburghUK,Center for Dementia PreventionThe University of EdinburghEdinburghUK
| | - Danni A. Gadd
- Center for Genomic and Experimental Medicine, Institute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
| | - Tara L. Spires‐Jones
- UK Dementia Research InstituteThe University of EdinburghEdinburghUK,Center for Discovery Brain SciencesThe University of EdinburghEdinburghUK
| | - Declan King
- UK Dementia Research InstituteThe University of EdinburghEdinburghUK,Center for Discovery Brain SciencesThe University of EdinburghEdinburghUK
| | - Craig Ritchie
- Center for Clinical Brain SciencesThe University of EdinburghEdinburghUK,Center for Dementia PreventionThe University of EdinburghEdinburghUK
| | - Graciela Muniz‐Terrera
- Center for Clinical Brain SciencesThe University of EdinburghEdinburghUK,Center for Dementia PreventionThe University of EdinburghEdinburghUK
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10
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Santana DA, Bedrat A, Puga RD, Turecki G, Mechawar N, Faria TC, Gigek CO, Payão SL, Smith MA, Lemos B, Chen ES. The role of H3K9 acetylation and gene expression in different brain regions of Alzheimer's disease patients. Epigenomics 2022; 14:651-670. [PMID: 35588246 DOI: 10.2217/epi-2022-0096] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aims: To evaluate H3K9 acetylation and gene expression profiles in three brain regions of Alzheimer's disease (AD) patients and elderly controls, and to identify AD region-specific abnormalities. Methods: Brain samples of auditory cortex, hippocampus and cerebellum from AD patients and controls underwent chromatin immunoprecipitation sequencing, RNA sequencing and network analyses. Results: We found a hyperacetylation of AD cerebellum and a slight hypoacetylation of AD hippocampus. The transcriptome revealed differentially expressed genes in the hippocampus and auditory cortex. Network analysis revealed Rho GTPase-mediated mechanisms. Conclusions: These findings suggest that some crucial mechanisms, such as Rho GTPase activity and cytoskeletal organization, are differentially dysregulated in brain regions of AD patients at the epigenetic and transcriptomic levels, and might contribute toward future research on AD pathogenesis.
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Affiliation(s)
- Daliléia A Santana
- Department of Morphology & Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo,SP, 04023-062, Brazil
| | - Amina Bedrat
- Department of Environmental Health & Molecular & Integrative Physiological Sciences Program, Harvard TH Chan School of Public Health, Boston, MA 02115-5810, USA
| | - Renato D Puga
- Hermes Pardini Institute, São Paulo, SP, 04038-030, Brazil
| | - Gustavo Turecki
- Department of Psychiatry, Douglas Hospital Research Center, McGill University, Montreal, QC, H4H1R3, Canada
| | - Naguib Mechawar
- Department of Psychiatry, Douglas Hospital Research Center, McGill University, Montreal, QC, H4H1R3, Canada
| | - Tathyane C Faria
- Department of Morphology & Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo,SP, 04023-062, Brazil
| | - Carolina O Gigek
- Department of Pathology, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, 04023-062, Brazil
| | - Spencer Lm Payão
- Department of Genetics, Blood Center, Faculdade de Medicina de Marília (FAMEMA), Marília, SP, 17519-050, Brazil
| | - Marília Ac Smith
- Department of Morphology & Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo,SP, 04023-062, Brazil
| | - Bernardo Lemos
- Department of Environmental Health & Molecular & Integrative Physiological Sciences Program, Harvard TH Chan School of Public Health, Boston, MA 02115-5810, USA
| | - Elizabeth S Chen
- Department of Morphology & Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo,SP, 04023-062, Brazil.,Department of Environmental Health & Molecular & Integrative Physiological Sciences Program, Harvard TH Chan School of Public Health, Boston, MA 02115-5810, USA
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11
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Naskar A, Stezin A, Dharmappa A, Hegde S, Philip M, Kamble N, Saini J, Sandhya K, Tatu U, Yadav R, Pal PK, Alladi PA. Fibrinogen and Complement Factor H Are Promising CSF Protein Biomarkers for Parkinson's Disease with Cognitive Impairment─A Proteomics-ELISA-Based Study. ACS Chem Neurosci 2022; 13:1030-1045. [PMID: 35200010 DOI: 10.1021/acschemneuro.2c00019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Parkinson's disease (PD) with cognitive impairment (PDCI) is essentially diagnosed through clinical and neuropsychological examinations. There is a need to identify biomarkers to foresee cognitive decline in them. We performed label-free unbiased nontargeted proteomics (Q-TOF LC/MS-MS) on the CSF of non-neurological control; PDCI; PD; and normal pressure hydrocephalus (NPH) patients, followed by targeted ELISA for validation. Of the 281 proteins identified, 42 were differentially altered in PD, PDCI, and NPH. With a certain overlap, 28 proteins were altered in PDCI and 25 proteins were altered in NPH. Five significantly upregulated proteins in PDCI were fibrinogen, gelsolin, complement factor-H, and apolipoproteins A-I and A-IV, whereas carnosine dipeptidase-1, carboxypeptidase-E, dickkopf-3, and secretogranin-3 precursor proteins were downregulated. Those uniquely altered in NPH were the insulin-like growth factor-binding protein, ceruloplasmin, α-1 antitrypsin, VGF nerve growth factor, and neural cell adhesion molecule L1-like protein. The ELISA-derived protein concentrations correlated with neuropsychological scores of certain cognitive domains. In PDCI, the Wisconsin card sorting percentile correlated negatively with fibrinogen. Intraperitoneal injection of native fibrinogen caused motor deficits in C57BL/6J mice as assessed by the pole test. Thus, a battery of proteins such as fibrinogen-α-chain, CFAH, and APOA-I/APOA-IV alongside neuropsychological assessment could be reliable biomarkers to distinguish PDCI and NPH.
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Affiliation(s)
- Aditi Naskar
- Department of Clinical Psychopharmacology & Neurotoxicology, National Institute of Mental Health and Neuro Sciences, Bengaluru 560029, India
| | - Albert Stezin
- Department of Clinical Neurosciences, National Institute of Mental Health and Neuro Sciences, Bengaluru 560029, India
| | - Arpitha Dharmappa
- Department of Clinical Psychology, National Institute of Mental Health and Neuro Sciences, Bengaluru 560029, India
| | - Shantala Hegde
- Department of Clinical Psychology, National Institute of Mental Health and Neuro Sciences, Bengaluru 560029, India
| | - Mariamma Philip
- Department of Biostatistics, National Institute of Mental Health and Neuro Sciences, Bengaluru 560029, India
| | - Nitish Kamble
- Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bengaluru 560029, India
| | - Jitender Saini
- Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health and Neuro Sciences, Bengaluru 560029, India
| | - K. Sandhya
- Department of Anaesthesiology, Bangalore Medical College and Research Institute, Bengaluru 560002, India
| | - Utpal Tatu
- Department of Biochemistry, Indian Institute of Science, Bengaluru 560012, India
| | - Ravi Yadav
- Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bengaluru 560029, India
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bengaluru 560029, India
| | - Phalguni Anand Alladi
- Department of Clinical Psychopharmacology & Neurotoxicology, National Institute of Mental Health and Neuro Sciences, Bengaluru 560029, India
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12
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Berdowska I, Matusiewicz M, Krzystek-Korpacka M. HDL Accessory Proteins in Parkinson’s Disease—Focusing on Clusterin (Apolipoprotein J) in Regard to Its Involvement in Pathology and Diagnostics—A Review. Antioxidants (Basel) 2022; 11:antiox11030524. [PMID: 35326174 PMCID: PMC8944556 DOI: 10.3390/antiox11030524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/01/2022] [Accepted: 03/03/2022] [Indexed: 02/04/2023] Open
Abstract
Parkinson’s disease (PD)—a neurodegenerative disorder (NDD) characterized by progressive destruction of dopaminergic neurons within the substantia nigra of the brain—is associated with the formation of Lewy bodies containing mainly α-synuclein. HDL-related proteins such as paraoxonase 1 and apolipoproteins A1, E, D, and J are implicated in NDDs, including PD. Apolipoprotein J (ApoJ, clusterin) is a ubiquitous, multifunctional protein; besides its engagement in lipid transport, it modulates a variety of other processes such as immune system functionality and cellular death signaling. Furthermore, being an extracellular chaperone, ApoJ interacts with proteins associated with NDD pathogenesis (amyloid β, tau, and α-synuclein), thus modulating their properties. In this review, the association of clusterin with PD is delineated, with respect to its putative involvement in the pathological mechanism and its application in PD prognosis/diagnosis.
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Affiliation(s)
- Izabela Berdowska
- Correspondence: (I.B.); (M.M.); Tel.: +48-71-784-13-92 (I.B.); +48-71-784-13-70 (M.M.)
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13
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Farré X, Espín R, Baiges A, Blommaert E, Kim W, Giannikou K, Herranz C, Román A, Sáez B, Casanova Á, Ancochea J, Valenzuela C, Ussetti P, Laporta R, Rodríguez-Portal JA, van Moorsel CH, van der Vis JJ, Quanjel MJ, Tena-Garitaonaindia M, Sánchez de Medina F, Mateo F, Molina-Molina M, Won S, Kwiatkowski DJ, de Cid R, Pujana MA. Evidence for shared genetic risk factors between lymphangioleiomyomatosis and pulmonary function. ERJ Open Res 2021; 8:00375-2021. [PMID: 35083324 PMCID: PMC8784893 DOI: 10.1183/23120541.00375-2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 09/17/2021] [Indexed: 11/05/2022] Open
Abstract
IntroductionLymphangioleiomyomatosis (LAM) is a rare low-grade metastasising disease characterised by cystic lung destruction. The genetic basis of LAM remains incompletely determined, and the disease cell-of-origin is uncertain. We analysed the possibility of a shared genetic basis between LAM and cancer, and LAM and pulmonary function.MethodsThe results of genome-wide association studies of LAM, 17 cancer types and spirometry measures (forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), FEV1/FVC ratio and peak expiratory flow (PEF)) were analysed for genetic correlations, shared genetic variants and causality. Genomic and transcriptomic data were examined, and immunodetection assays were performed to evaluate pleiotropic genes.ResultsThere were no significant overall genetic correlations between LAM and cancer, but LAM correlated negatively with FVC and PEF, and a trend in the same direction was observed for FEV1. 22 shared genetic variants were uncovered between LAM and pulmonary function, while seven shared variants were identified between LAM and cancer. The LAM-pulmonary function shared genetics identified four pleiotropic genes previously recognised in LAM single-cell transcriptomes: ADAM12, BNC2, NR2F2 and SP5. We had previously associated NR2F2 variants with LAM, and we identified its functional partner NR3C1 as another pleotropic factor. NR3C1 expression was confirmed in LAM lung lesions. Another candidate pleiotropic factor, CNTN2, was found more abundant in plasma of LAM patients than that of healthy women.ConclusionsThis study suggests the existence of a common genetic aetiology between LAM and pulmonary function.
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14
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Gómez de San José N, Massa F, Halbgebauer S, Oeckl P, Steinacker P, Otto M. Neuronal pentraxins as biomarkers of synaptic activity: from physiological functions to pathological changes in neurodegeneration. J Neural Transm (Vienna) 2021; 129:207-230. [PMID: 34460014 PMCID: PMC8866268 DOI: 10.1007/s00702-021-02411-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 08/17/2021] [Indexed: 12/22/2022]
Abstract
The diagnosis of neurodegenerative disorders is often challenging due to the lack of diagnostic tools, comorbidities and shared pathological manifestations. Synaptic dysfunction is an early pathological event in many neurodegenerative disorders, but the underpinning mechanisms are still poorly characterised. Reliable quantification of synaptic damage is crucial to understand the pathophysiology of neurodegeneration, to track disease status and to obtain prognostic information. Neuronal pentraxins (NPTXs) are extracellular scaffolding proteins emerging as potential biomarkers of synaptic dysfunction in neurodegeneration. They are a family of proteins involved in homeostatic synaptic plasticity by recruiting post-synaptic receptors into synapses. Recent research investigates the dynamic changes of NPTXs in the cerebrospinal fluid (CSF) as an expression of synaptic damage, possibly related to cognitive impairment. In this review, we summarise the available data on NPTXs structure and expression patterns as well as on their contribution in synaptic function and plasticity and other less well-characterised roles. Moreover, we propose a mechanism for their involvement in synaptic damage and neurodegeneration and assess their potential as CSF biomarkers for neurodegenerative diseases.
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Affiliation(s)
| | - Federico Massa
- Department of Neurology, University of Ulm, Ulm, Germany
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | | | - Patrick Oeckl
- Department of Neurology, University of Ulm, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE E.V.), Ulm, Germany
| | | | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany.
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Ernst-Grube-Str. 40, 06120, Halle (Saale), Germany.
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15
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Rahman MM, Lendel C. Extracellular protein components of amyloid plaques and their roles in Alzheimer's disease pathology. Mol Neurodegener 2021; 16:59. [PMID: 34454574 PMCID: PMC8400902 DOI: 10.1186/s13024-021-00465-0] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 06/11/2021] [Indexed: 12/20/2022] Open
Abstract
Alzheimer's disease (AD) is pathologically defined by the presence of fibrillar amyloid β (Aβ) peptide in extracellular senile plaques and tau filaments in intracellular neurofibrillary tangles. Extensive research has focused on understanding the assembly mechanisms and neurotoxic effects of Aβ during the last decades but still we only have a brief understanding of the disease associated biological processes. This review highlights the many other constituents that, beside Aβ, are accumulated in the plaques, with the focus on extracellular proteins. All living organisms rely on a delicate network of protein functionality. Deposition of significant amounts of certain proteins in insoluble inclusions will unquestionably lead to disturbances in the network, which may contribute to AD and copathology. This paper provide a comprehensive overview of extracellular proteins that have been shown to interact with Aβ and a discussion of their potential roles in AD pathology. Methods that can expand the knowledge about how the proteins are incorporated in plaques are described. Top-down methods to analyze post-mortem tissue and bottom-up approaches with the potential to provide molecular insights on the organization of plaque-like particles are compared. Finally, a network analysis of Aβ-interacting partners with enriched functional and structural key words is presented.
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Affiliation(s)
- M Mahafuzur Rahman
- Department of Chemistry, KTH Royal Institute of Technology, SE-100 44, Stockholm, Sweden.
| | - Christofer Lendel
- Department of Chemistry, KTH Royal Institute of Technology, SE-100 44, Stockholm, Sweden.
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16
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Characterization of Hevin (SPARCL1) Immunoreactivity in Postmortem Human Brain Homogenates. Neuroscience 2021; 467:91-109. [PMID: 34033869 DOI: 10.1016/j.neuroscience.2021.05.017] [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: 03/12/2021] [Revised: 05/12/2021] [Accepted: 05/13/2021] [Indexed: 11/22/2022]
Abstract
Hevin is a matricellular glycoprotein that plays important roles in neural developmental processes such as neuronal migration, synaptogenesis and synaptic plasticity. In contrast to other matricellular proteins whose expression decreases when development is complete, hevin remains highly expressed, suggesting its involvement in adult brain function. In vitro studies have shown that hevin can have different post-translational modifications. However, the glycosylation pattern of hevin in the human brain remains unknown, as well as its relative distribution and localization. The present study provides the first thorough characterization of hevin protein expression by Western blot in postmortem adult human brain. Our results demonstrated two major specific immunoreactive bands for hevin: an intense band migrating around 130 kDa, and a band migrating around 100 kDa. Biochemical assays revealed that both hevin bands have a different glycosylation pattern. Subcellular fractionation showed greater expression in membrane-enriched fraction than in cytosolic preparation, and a higher expression in prefrontal cortex (PFC) compared to hippocampus (HIP), caudate nucleus (CAU) and cerebellum (CB). We confirmed that a disintegrin and metalloproteinase with thrombospondin motifs 4 (ADAMTS4) and matrixmetalloproteinase 3 (MMP-3) proteases digestion led to an intense double band with similar molecular weight to that described as SPARC-like fragment (SLF). Finally, hevin immunoreactivity was also detected in human astrocytoma, meningioma, cerebrospinal fluid and serum samples, but was absent from any blood cell type.
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17
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Richens JL, Bramble JP, Spencer HL, Cantlay F, Butler M, O'Shea P. Towards defining the Mechanisms of Alzheimer's disease based on a contextual analysis of molecular pathways. AIMS GENETICS 2021. [DOI: 10.3934/genet.2016.1.25] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
AbstractAlzheimer's disease (AD) is posing an increasingly profound problem to society. Our genuine understanding of the pathogenesis of AD is inadequate and as a consequence, diagnostic and therapeutic strategies are currently insufficient. The understandable focus of many studies is the identification of molecules with high diagnostic utility however the opportunity to obtain a further understanding of the mechanistic origins of the disease from such putative biomarkers is often overlooked. This study examines the involvement of biomarkers in AD to shed light on potential mechanisms and pathways through which they are implicated in the pathology of this devastating neurodegenerative disorder. The computational tools required to analyse ever-growing datasets in the context of AD are also discussed.
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Affiliation(s)
- Joanna L. Richens
- Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Jonathan P. Bramble
- Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Hannah L. Spencer
- Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Fiona Cantlay
- Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Molly Butler
- Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Paul O'Shea
- Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
- Address as of 1st July 2016: Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada
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18
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Marizzoni M, Cattaneo A, Mirabelli P, Festari C, Lopizzo N, Nicolosi V, Mombelli E, Mazzelli M, Luongo D, Naviglio D, Coppola L, Salvatore M, Frisoni GB. Short-Chain Fatty Acids and Lipopolysaccharide as Mediators Between Gut Dysbiosis and Amyloid Pathology in Alzheimer's Disease. J Alzheimers Dis 2021; 78:683-697. [PMID: 33074224 DOI: 10.3233/jad-200306] [Citation(s) in RCA: 167] [Impact Index Per Article: 55.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Metagenomic data support an association between certain bacterial strains and Alzheimer's disease (AD), but their functional dynamics remain elusive. OBJECTIVE To investigate the association between amyloid pathology, bacterial products such as lipopolysaccharide (LPS) and short chain fatty acids (SCFAs: acetate, valerate, butyrate), inflammatory mediators, and markers of endothelial dysfunction in AD. METHODS Eighty-nine older persons with cognitive performance from normal to dementia underwent florbetapir amyloid PET and blood collection. Brain amyloidosis was measured with standardized uptake value ratio versus cerebellum. Blood levels of LPS were measured by ELISA, SCFAs by mass spectrometry, cytokines by using real-time PCR, and biomarkers of endothelial dysfunction by flow cytometry. We investigated the association between the variables listed above with Spearman's rank test. RESULTS Amyloid SUVR uptake was positively associated with blood LPS (rho≥0.32, p≤0.006), acetate and valerate (rho≥0.45, p < 0.001), pro-inflammatory cytokines (rho≥0.25, p≤0.012), and biomarkers of endothelial dysfunction (rho≥0.25, p≤0.042). In contrast, it was negatively correlated with butyrate (rho≤-0.42, p≤0.020) and the anti-inflammatory cytokine IL10 (rho≤-0.26, p≤0.009). Endothelial dysfunction was positively associated with pro-inflammatory cytokines, acetate and valerate (rho≥0.25, p≤0.045) and negatively with butyrate and IL10 levels (rho≤-0.25, p≤0.038). CONCLUSION We report a novel association between gut microbiota-related products and systemic inflammation with brain amyloidosis via endothelial dysfunction, suggesting that SCFAs and LPS represent candidate pathophysiologic links between the gut microbiota and AD pathology.
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Affiliation(s)
- Moira Marizzoni
- Laboratory of Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Laboratory of Biological Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Annamaria Cattaneo
- Laboratory of Biological Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Cristina Festari
- Laboratory of Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Nicola Lopizzo
- Laboratory of Biological Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Valentina Nicolosi
- Laboratory of Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Elisa Mombelli
- Laboratory of Biological Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Monica Mazzelli
- Laboratory of Biological Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Daniele Naviglio
- Department of Chemical Sciences, University of Naples Federico II, Via Cintia 4, Naples, Italy
| | | | | | - Giovanni B Frisoni
- Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
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Chen Z, Yu Q, Yu Q, Johnson J, Shipman R, Zhong X, Huang J, Asthana S, Carlsson C, Okonkwo O, Li L. In-depth Site-specific Analysis of N-glycoproteome in Human Cerebrospinal Fluid and Glycosylation Landscape Changes in Alzheimer's Disease. Mol Cell Proteomics 2021; 20:100081. [PMID: 33862227 PMCID: PMC8724636 DOI: 10.1016/j.mcpro.2021.100081] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/02/2021] [Accepted: 04/03/2021] [Indexed: 01/22/2023] Open
Abstract
As the body fluid that directly interchanges with the extracellular fluid of the central nervous system (CNS), cerebrospinal fluid (CSF) serves as a rich source for CNS-related disease biomarker discovery. Extensive proteome profiling has been conducted for CSF, but studies aimed at unraveling site-specific CSF N-glycoproteome are lacking. Initial efforts into site-specific N-glycoproteomics study in CSF yield limited coverage, hindering further experimental design of glycosylation-based disease biomarker discovery in CSF. In the present study, we have developed an N-glycoproteomic approach that combines enhanced N-glycopeptide sequential enrichment by hydrophilic interaction chromatography (HILIC) and boronic acid enrichment with electron transfer and higher-energy collision dissociation (EThcD) for large-scale intact N-glycopeptide analysis. The application of the developed approach to the analyses of human CSF samples enabled identifications of a total of 2893 intact N-glycopeptides from 511 N-glycosites and 285 N-glycoproteins. To our knowledge, this is the largest site-specific N-glycoproteome dataset reported for CSF to date. Such dataset provides molecular basis for a better understanding of the structure-function relationships of glycoproteins and their roles in CNS-related physiological and pathological processes. As accumulating evidence suggests that defects in glycosylation are involved in Alzheimer's disease (AD) pathogenesis, in the present study, a comparative in-depth N-glycoproteomic analysis was conducted for CSF samples from healthy control and AD patients, which yielded a comparable N-glycoproteome coverage but a distinct expression pattern for different categories of glycoforms, such as decreased fucosylation in AD CSF samples. Altered glycosylation patterns were detected for a number of N-glycoproteins including alpha-1-antichymotrypsin, ephrin-A3 and carnosinase CN1 etc., which serve as potentially interesting targets for further glycosylation-based AD study and may eventually lead to molecular elucidation of the role of glycosylation in AD progression.
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Affiliation(s)
- Zhengwei Chen
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, USA
| | - Qinying Yu
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA
| | - Qing Yu
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA
| | - Jillian Johnson
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA
| | - Richard Shipman
- Department of Applied Science, University of Wisconsin-Stout, Menomonie, Wisconsin, USA
| | - Xiaofang Zhong
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA
| | - Junfeng Huang
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA
| | - Sanjay Asthana
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Cynthia Carlsson
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Ozioma Okonkwo
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin, USA; School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA.
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20
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Interplay between hevin, SPARC, and MDGAs: Modulators of neurexin-neuroligin transsynaptic bridges. Structure 2021; 29:664-678.e6. [PMID: 33535026 DOI: 10.1016/j.str.2021.01.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/20/2020] [Accepted: 01/08/2021] [Indexed: 12/18/2022]
Abstract
Hevin is secreted by astrocytes and its synaptogenic effects are antagonized by the related protein, SPARC. Hevin stabilizes neurexin-neuroligin transsynaptic bridges in vivo. A third protein, membrane-tethered MDGA, blocks these bridges. Here, we reveal the molecular underpinnings of a regulatory network formed by this trio of proteins. The hevin FS-EC structure differs from SPARC, in that the EC domain appears rearranged around a conserved core. The FS domain is structurally conserved and it houses nanomolar affinity binding sites for neurexin and neuroligin. SPARC also binds neurexin and neuroligin, competing with hevin, so its antagonist action is rooted in its shortened N-terminal region. Strikingly, the hevin FS domain competes with MDGA for an overlapping binding site on neuroligin, while the hevin EC domain binds the extracellular matrix protein collagen (like SPARC), so that this trio of proteins can regulate neurexin-neuroligin transsynaptic bridges and also extracellular matrix interactions, impacting synapse formation and ultimately neural circuits.
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21
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Lim B, Tsolaki M, Soosaipillai A, Brown M, Zilakaki M, Tagaraki F, Fotiou D, Koutsouraki E, Grosi E, Prassas I, Diamandis EP. Liquid biopsy of cerebrospinal fluid identifies neuronal pentraxin receptor (NPTXR) as a biomarker of progression of Alzheimer's disease. Clin Chem Lab Med 2020; 57:1875-1881. [PMID: 31415236 DOI: 10.1515/cclm-2019-0428] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 07/23/2019] [Indexed: 12/26/2022]
Abstract
Background Alzheimer's disease (AD) is the most prevalent form of dementia. Currently, the most studied biomarkers of AD are cerebrospinal fluid (CSF) amyloid β 1-42, total tau and phosphorylated tau. However, misdiagnosis can exceed 20%. Recently, we found that CSF amyloid β precursor-like protein-1 (APLP1) and neuronal pentraxin receptor (NPTXR) are promising biomarkers of AD. The aim of the present study is to validate CSF APLP1 and NPTXR as biomarkers of AD severity. Methods APLP1 and NPTXR concentrations were measured in the CSF of patients with mild cognitive impairment (MCI) (n = 14), mild AD (n = 21), moderate AD (n = 43) and severe AD (n = 30) using enzyme-linked immunosorbent assays (ELISAs). Results CSF APLP1 and NPTXR were not associated with age or sex. CSF APLP1 was not different between any of the AD severity groups (p = 0.31). CSF NPTXR was significantly different between MCI and mild AD (p = 0.006), mild and moderate AD (p = 0.016), but not between moderate and severe AD (p = 0.36). NPTXR concentration progressively declined from MCI to mild, to moderate and to severe AD patients (p < 0.0001, Kruskal-Wallis test). CSF NPTXR positively correlated with the Mini-Mental Status Examination (MMSE) score (p < 0.001). Conclusions NPTXR concentration in CSF is a promising biomarker of AD severity and could inform treatment success and disease progression in clinical settings.
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Affiliation(s)
- Bryant Lim
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Magda Tsolaki
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Antoninus Soosaipillai
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, ON M5T 3L9, Canada
| | - Marshall Brown
- Department of Biostatistics, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Maria Zilakaki
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Fani Tagaraki
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Dimitrios Fotiou
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Effrosyni Koutsouraki
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Effrosyni Grosi
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ioannis Prassas
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, ON M5T 3L9, Canada
| | - Eleftherios P Diamandis
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.,Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, ON M5T 3L9, Canada.,Department of Clinical Biochemistry, University Health Network, Toronto, ON, Canada
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22
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Kanda M, Shimizu D, Sawaki K, Nakamura S, Umeda S, Miwa T, Tanaka H, Tanaka C, Hayashi M, Iguchi Y, Yamada S, Katsuno M, Kodera Y. Therapeutic monoclonal antibody targeting of neuronal pentraxin receptor to control metastasis in gastric cancer. Mol Cancer 2020; 19:131. [PMID: 32847597 PMCID: PMC7448342 DOI: 10.1186/s12943-020-01251-0] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 08/17/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Controlling metastasis is essential for improving the prognosis of patients with gastric cancer (GC). Here, we aimed to identify a molecule required for GC metastasis and to investigate its potential utility as a target for the development of therapeutic antibodies (Abs). METHODS Transcriptome and bioinformatics analyses of human GC cell lines identified the neuronal pentraxin receptor (NPTXR) as a candidate molecule. NPTXR function was probed by modulating its expression in GC cells and assessing the effects on intracellular signaling and malignant behaviors in vitro and in mouse xenograft models. We also generated anti-NPTXR Abs and Nptxr-/- mice, and assessed the clinical significance of NPTXR expression in GC specimens. RESULTS NPTXR mRNA expression in clinical specimens was associated with disease progression and was significantly higher in tissues from GC patients with distant metastasis compared with those without. NPTXR regulated expression of genes involved in metastatic behaviors as well as activation of the PI3K-AKT-mTOR, FAK-JNK, and YAP signaling pathways. NPTXR silencing promoted caspase-mediated apoptosis and attenuated GC cell proliferation, cell cycle progression, migration, invasion, adhesion, stem cell-like properties, and resistance to 5-fluorouracil in vitro, and also inhibited the tumorigenicity of GC cells in vivo. Anti-NPTXR Abs inhibited GC peritoneal metastasis in mice. Nptxr-/- mice showed no abnormalities in reproduction, development, metabolism, or motor function. CONCLUSIONS NPTXR plays an essential role in controlling the malignant behavior of GC cells in vitro and in vivo. NPTXR-targeting Abs may thus have utility as novel diagnostic tools and/or treatment modalities for GC.
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MESH Headings
- Animals
- Antibodies, Monoclonal/pharmacology
- Antineoplastic Agents, Immunological/pharmacology
- Biomarkers, Tumor
- CRISPR-Cas Systems
- Cell Line, Tumor
- Disease Models, Animal
- Gene Expression
- Gene Targeting
- Humans
- Mice
- Mice, Knockout
- Models, Biological
- Neoplasm Metastasis
- Neoplasm Staging
- Phenotype
- Prognosis
- Receptors, Cell Surface/antagonists & inhibitors
- Receptors, Cell Surface/genetics
- Receptors, Cell Surface/metabolism
- Signal Transduction/drug effects
- Stomach Neoplasms/drug therapy
- Stomach Neoplasms/genetics
- Stomach Neoplasms/metabolism
- Stomach Neoplasms/pathology
- Xenograft Model Antitumor Assays
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Affiliation(s)
- Mitsuro Kanda
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
| | - Dai Shimizu
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Koichi Sawaki
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Shunsuke Nakamura
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Shinichi Umeda
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Takashi Miwa
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Haruyoshi Tanaka
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Chie Tanaka
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Masamichi Hayashi
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Yohei Iguchi
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Suguru Yamada
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Masahisa Katsuno
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasuhiro Kodera
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
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23
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Marcus K, Lelong C, Rabilloud T. What Room for Two-Dimensional Gel-Based Proteomics in a Shotgun Proteomics World? Proteomes 2020; 8:proteomes8030017. [PMID: 32781532 PMCID: PMC7563651 DOI: 10.3390/proteomes8030017] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 08/02/2020] [Accepted: 08/04/2020] [Indexed: 02/07/2023] Open
Abstract
Two-dimensional gel electrophoresis was instrumental in the birth of proteomics in the late 1980s. However, it is now often considered as an outdated technique for proteomics—a thing of the past. Although this opinion may be true for some biological questions, e.g., when analysis depth is of critical importance, for many others, two-dimensional gel electrophoresis-based proteomics still has a lot to offer. This is because of its robustness, its ability to separate proteoforms, and its easy interface with many powerful biochemistry techniques (including western blotting). This paper reviews where and why two-dimensional gel electrophoresis-based proteomics can still be profitably used. It emerges that, rather than being a thing of the past, two-dimensional gel electrophoresis-based proteomics is still highly valuable for many studies. Thus, its use cannot be dismissed on simple fashion arguments and, as usual, in science, the tree is to be judged by the fruit.
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Affiliation(s)
- Katrin Marcus
- Medizinisches Proteom-Center, Medical Faculty & Medical Proteome Analysis, Center for Proteindiagnostics (PRODI) Ruhr-University Bochum Gesundheitscampus, 4 44801 Bochum, Germany;
| | - Cécile Lelong
- CBM UMR CNRS5249, Université Grenoble Alpes, CEA, CNRS, 17 rue des Martyrs, CEDEX 9, 38054 Grenoble, France;
| | - Thierry Rabilloud
- Laboratory of Chemistry and Biology of Metals, UMR 5249, Université Grenoble Alpes, CNRS, 38054 Grenoble, France
- Correspondence: ; Tel.: +33-438-783-212
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24
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Devanarayan P, Devanarayan V, Llano DA. Identification of a Simple and Novel Cut-Point Based Cerebrospinal Fluid and MRI Signature for Predicting Alzheimer's Disease Progression that Reinforces the 2018 NIA-AA Research Framework. J Alzheimers Dis 2020; 68:537-550. [PMID: 30775985 DOI: 10.3233/jad-180905] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The 2018 NIA-AA research framework proposes a classification system with Amyloid-β deposition, pathologic Tau, and Neurodegeneration (ATN) for diagnosis and staging of Alzheimer's disease (AD). Data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database can be utilized to identify diagnostic signatures for predicting AD progression, and to determine the utility of this NIA-AA research framework. Profiles of 320 peptides from baseline cerebrospinal fluid (CSF) samples of 287 normal, mild cognitive impairment (MCI), and AD subjects followed over a 3-10-year period were measured via multiple reaction monitoring mass spectrometry. CSF Aβ42, total-Tau (tTau), phosphorylated-Tau (pTau-181), and hippocampal volume were also measured. From these candidate markers, optimal signatures with decision thresholds to separate AD and normal subjects were first identified via unbiased regression and tree-based algorithms. The best performing signature determined via cross-validation was then tested in an independent group of MCI subjects to predict future progression. This multivariate analysis yielded a simple diagnostic signature comprising CSF pTau-181 to Aβ42 ratio, MRI hippocampal volume, and low CSF levels of a novel PTPRN peptide, with a decision threshold on each marker. When applied to a separate MCI group at baseline, subjects meeting these signature criteria experience 4.3-fold faster progression to AD compared to a 2.2-fold faster progression using only conventional markers. This novel 4-marker signature represents an advance over the current diagnostics based on widely used markers, and is easier to use in practice than recently published complex signatures. This signature also reinforces the ATN construct from the 2018 NIA-AA research framework.
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Affiliation(s)
| | - Viswanath Devanarayan
- Charles River Laboratories, Horsham, PA, USA.,Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, IL, USA
| | - Daniel A Llano
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.,Carle Neuroscience Institute, Urbana, IL, USA
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25
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Pedrero-Prieto CM, García-Carpintero S, Frontiñán-Rubio J, Llanos-González E, Aguilera García C, Alcaín FJ, Lindberg I, Durán-Prado M, Peinado JR, Rabanal-Ruiz Y. A comprehensive systematic review of CSF proteins and peptides that define Alzheimer's disease. Clin Proteomics 2020; 17:21. [PMID: 32518535 PMCID: PMC7273668 DOI: 10.1186/s12014-020-09276-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 04/09/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND During the last two decades, over 100 proteomics studies have identified a variety of potential biomarkers in CSF of Alzheimer's (AD) patients. Although several reviews have proposed specific biomarkers, to date, the statistical relevance of these proteins has not been investigated and no peptidomic analyses have been generated on the basis of specific up- or down- regulation. Herein, we perform an analysis of all unbiased explorative proteomics studies of CSF biomarkers in AD to critically evaluate whether proteins and peptides identified in each study are consistent in distribution; direction change; and significance, which would strengthen their potential use in studies of AD pathology and progression. METHODS We generated a database containing all CSF proteins whose levels are known to be significantly altered in human AD from 47 independent, validated, proteomics studies. Using this database, which contains 2022 AD and 2562 control human samples, we examined whether each protein is consistently present on the basis of reliable statistical studies; and if so, whether it is over- or under-represented in AD. Additionally, we performed a direct analysis of available mass spectrometric data of these proteins to generate an AD CSF peptide database with 3221 peptides for further analysis. RESULTS Of the 162 proteins that were identified in 2 or more studies, we investigated their enrichment or depletion in AD CSF. This allowed us to identify 23 proteins which were increased and 50 proteins which were decreased in AD, some of which have never been revealed as consistent AD biomarkers (i.e. SPRC or MUC18). Regarding the analysis of the tryptic peptide database, we identified 87 peptides corresponding to 13 proteins as the most highly consistently altered peptides in AD. Analysis of tryptic peptide fingerprinting revealed specific peptides encoded by CH3L1, VGF, SCG2, PCSK1N, FBLN3 and APOC2 with the highest probability of detection in AD. CONCLUSIONS Our study reveals a panel of 27 proteins and 21 peptides highly altered in AD with consistent statistical significance; this panel constitutes a potent tool for the classification and diagnosis of AD.
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Affiliation(s)
- Cristina M. Pedrero-Prieto
- Department of Medical Sciences, Ciudad Real Medical School, Oxidative Stress and Neurodegeneration Group, Regional Center for Biomedical Research, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Sonia García-Carpintero
- Department of Medical Sciences, Ciudad Real Medical School, Oxidative Stress and Neurodegeneration Group, Regional Center for Biomedical Research, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Javier Frontiñán-Rubio
- Department of Medical Sciences, Ciudad Real Medical School, Oxidative Stress and Neurodegeneration Group, Regional Center for Biomedical Research, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Emilio Llanos-González
- Department of Medical Sciences, Ciudad Real Medical School, Oxidative Stress and Neurodegeneration Group, Regional Center for Biomedical Research, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Cristina Aguilera García
- Department of Medical Sciences, Ciudad Real Medical School, Oxidative Stress and Neurodegeneration Group, Regional Center for Biomedical Research, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Francisco J. Alcaín
- Department of Medical Sciences, Ciudad Real Medical School, Oxidative Stress and Neurodegeneration Group, Regional Center for Biomedical Research, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Iris Lindberg
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, University of Maryland, Baltimore, MD 21201 USA
| | - Mario Durán-Prado
- Department of Medical Sciences, Ciudad Real Medical School, Oxidative Stress and Neurodegeneration Group, Regional Center for Biomedical Research, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Juan R. Peinado
- Department of Medical Sciences, Ciudad Real Medical School, Oxidative Stress and Neurodegeneration Group, Regional Center for Biomedical Research, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Yoana Rabanal-Ruiz
- Department of Medical Sciences, Ciudad Real Medical School, Oxidative Stress and Neurodegeneration Group, Regional Center for Biomedical Research, University of Castilla-La Mancha, Ciudad Real, Spain
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26
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van der Ende EL, Xiao M, Xu D, Poos JM, Panman JL, Jiskoot LC, Meeter LH, Dopper EG, Papma JM, Heller C, Convery R, Moore K, Bocchetta M, Neason M, Peakman G, Cash DM, Teunissen CE, Graff C, Synofzik M, Moreno F, Finger E, Sánchez-Valle R, Vandenberghe R, Laforce R, Masellis M, Tartaglia MC, Rowe JB, Butler CR, Ducharme S, Gerhard A, Danek A, Levin J, Pijnenburg YA, Otto M, Borroni B, Tagliavini F, de Mendonca A, Santana I, Galimberti D, Seelaar H, Rohrer JD, Worley PF, van Swieten JC. Neuronal pentraxin 2: a synapse-derived CSF biomarker in genetic frontotemporal dementia. J Neurol Neurosurg Psychiatry 2020; 91:612-621. [PMID: 32273328 PMCID: PMC7279197 DOI: 10.1136/jnnp-2019-322493] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 02/26/2020] [Accepted: 03/02/2020] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Synapse dysfunction is emerging as an early pathological event in frontotemporal dementia (FTD), however biomarkers are lacking. We aimed to investigate the value of cerebrospinal fluid (CSF) neuronal pentraxins (NPTXs), a family of proteins involved in homeostatic synapse plasticity, as novel biomarkers in genetic FTD. METHODS We included 106 presymptomatic and 54 symptomatic carriers of a pathogenic mutation in GRN, C9orf72 or MAPT, and 70 healthy non-carriers participating in the Genetic Frontotemporal dementia Initiative (GENFI), all of whom had at least one CSF sample. We measured CSF concentrations of NPTX2 using an in-house ELISA, and NPTX1 and NPTX receptor (NPTXR) by Western blot. We correlated NPTX2 with corresponding clinical and neuroimaging datasets as well as with CSF neurofilament light chain (NfL) using linear regression analyses. RESULTS Symptomatic mutation carriers had lower NPTX2 concentrations (median 643 pg/mL, IQR (301-872)) than presymptomatic carriers (1003 pg/mL (624-1358), p<0.001) and non-carriers (990 pg/mL (597-1373), p<0.001) (corrected for age). Similar results were found for NPTX1 and NPTXR. Among mutation carriers, NPTX2 concentration correlated with several clinical disease severity measures, NfL and grey matter volume of the frontal, temporal and parietal lobes, insula and whole brain. NPTX2 predicted subsequent decline in phonemic verbal fluency and Clinical Dementia Rating scale plus FTD modules. In longitudinal CSF samples, available in 13 subjects, NPTX2 decreased around symptom onset and in the symptomatic stage. DISCUSSION We conclude that NPTX2 is a promising synapse-derived disease progression biomarker in genetic FTD.
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Affiliation(s)
- Emma L van der Ende
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Meifang Xiao
- Solomon H Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Desheng Xu
- Solomon H Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Jackie M Poos
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Jessica L Panman
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Lize C Jiskoot
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, Rotterdam, Netherlands
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Lieke H Meeter
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Elise Gp Dopper
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Janne M Papma
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Carolin Heller
- Dementia Research Institute, Department of Neurodegenerative Disease, University College London, London, United Kingdom
| | - Rhian Convery
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Katrina Moore
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Martina Bocchetta
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Mollie Neason
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Georgia Peakman
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Caroline Graff
- Karolinska Institutet, Dept NVS, Division of Neurogeriatrics, Bioclinicum, Stockholm, Sweden
- Unit of Hereditary Dementia, Theme Aging, Karolinska University Hospital-Solna, Stockholm, Sweden
| | - Matthis Synofzik
- German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen, Germany
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, Tübingen, Germany
| | - Fermin Moreno
- Department of Neurology, Donostia University Hospital, San Sebastian, Gipuzkoa, Spain
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire du CHU de Québec, Département des Sciences Neurologiques, Université Laval, Québec, Quebec City, Canada
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
| | - James B Rowe
- Cambridge University Centre for Frontotemporal Dementia, University of Cambridge, Cambridge, United Kingdom
| | | | - Simon Ducharme
- Montreal Neurological Institute and McGill University Health Centre, McGill University, Montreal, Québec, Canada
| | - Alex Gerhard
- Department of Nuclear Medicine and Geriatric Medicine, University Hospital Essen, Essen, Germany
- Divison of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom
| | - Adrian Danek
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases, (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology, (SyNergy), Munich, Germany
| | - Yolande Al Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Markus Otto
- Department of Neurology, Universität Ulm, Ulm, Germany
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | | | | | - Isabel Santana
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Daniela Galimberti
- Department of Neurological Sciences, Dino Ferrari Center, University of Milan, Milan, Italy
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Harro Seelaar
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Jonathan D Rohrer
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Paul F Worley
- Solomon H Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - John C van Swieten
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, Rotterdam, Netherlands
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27
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Chapman G, Shanmugalingam U, Smith PD. The Role of Neuronal Pentraxin 2 (NP2) in Regulating Glutamatergic Signaling and Neuropathology. Front Cell Neurosci 2020; 13:575. [PMID: 31969807 PMCID: PMC6960182 DOI: 10.3389/fncel.2019.00575] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Accepted: 12/12/2019] [Indexed: 01/30/2023] Open
Abstract
Pentraxins are a superfamily of evolutionarily conserved proteins that are characterized by their multimeric architecture and their calcium-dependent binding. They can be broadly grouped into two subfamilies: short pentraxins and long pentraxins. Pentraxins regulate many processes in the brain as well as the periphery. Neuronal pentraxin 2 (NP2/NPTX2), also known as neuronal activity-regulated pentraxin (Narp), is an immediate-early gene that has been shown to play a critical role in guiding synaptic plasticity. NP2 has been previously linked to excitatory neurotransmission, based on its ability to aggregate excitatory receptors in the central nervous system. The mechanisms mediating the effects of NP2 on excitatory neurotransmission remain unclear and warrants further investigation. This review article focuses on the biological features of NP2 and discusses the literature supporting a role for NP2 and other pentraxins in glutamatergic signaling. An analysis of evidence around the role of pentraxins in neuropathology is also reviewed.
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Affiliation(s)
- Georgina Chapman
- Department of Neuroscience, Carleton University, Ottawa, ON, Canada
| | | | - Patrice D Smith
- Department of Neuroscience, Carleton University, Ottawa, ON, Canada
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28
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Zhang F, Li X, Ni Y, Shan G, Gao Y. Preliminary study of the urinary proteome in Li and Han ethnic individuals from Hainan. SCIENCE CHINA. LIFE SCIENCES 2020; 63:125-137. [PMID: 31102176 DOI: 10.1007/s11427-018-9485-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 01/23/2019] [Indexed: 01/05/2023]
Abstract
Biomarkers indicate changes associated with disease. Blood is relatively stable due to the homeostatic mechanisms of the body; however, urine accumulates metabolites from changes in the body, making it a better source for early biomarker discovery. The Li ethnic group is a unique minority ethnic group that has only lived on Hainan Island for approximately 5,000 years. Studies have shown that various specific genetic variations are different between the Li and Han ethnic groups. However, whether the urinary proteome between these two ethnic groups is significantly different remains unknown. In this study, differential urinary proteins were identified in the Li and Han ethnic groups using liquid chromatography tandem mass spectrometry (LC-MS/MS). In total, 1,555 urinary proteins were identified. Twenty-five of the urinary proteins were statistically significantly different, 16 of which have been previously reported to be biomarkers of many diseases, and that these significantly different proteins were caused by ethnic differences rather than random differences. Ethnic group differences may be an influencing factor in urine proteome studies and should be considered when human urine samples are used for biomarker discovery.
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Affiliation(s)
- Fanshuang Zhang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.,Department of Pathophysiology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Xundou Li
- Department of Pathophysiology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Yanying Ni
- Department of Pathophysiology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Youhe Gao
- Department of Biochemistry and Molecular Biology, Beijing Normal University, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing, 100875, China.
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29
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The Interaction Between Contactin and Amyloid Precursor Protein and Its Role in Alzheimer’s Disease. Neuroscience 2020; 424:184-202. [DOI: 10.1016/j.neuroscience.2019.10.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 10/01/2019] [Accepted: 10/03/2019] [Indexed: 01/06/2023]
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30
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Wesenhagen KEJ, Teunissen CE, Visser PJ, Tijms BM. Cerebrospinal fluid proteomics and biological heterogeneity in Alzheimer's disease: A literature review. Crit Rev Clin Lab Sci 2019; 57:86-98. [PMID: 31694431 DOI: 10.1080/10408363.2019.1670613] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia and is characterized by aggregation of amyloid and tau proteins in the brain. Results from genetic studies suggest that the pathophysiology underlying AD is complex, but studying this complexity in patients remains difficult. The cerebrospinal fluid (CSF) proteome contains a large number of proteins that can reflect ongoing biological processes. Proteomics techniques can be used to measure many proteins simultaneously in individual patients and may therefore provide an opportunity to study AD disease mechanisms. Here, we review the CSF proteomics literature to identify proteins consistently associated with AD, and perform pathway analyses on these proteins to study which biological processes may be involved in the disease.We performed a literature search of studies that investigated CSF proteomic alterations related to AD. We included original research articles when they measured at least 10 proteins in (antemortem) CSF in at least 10 individuals with AD, mild cognitive impairment (MCI) or controls. We examined if proteins were consistently related to AD, defined as consistent increase or decrease in AD vs. controls across studies. Next, we used the proteins identified as input to pathway analyses using Reactome to investigate which biological processes were enriched.In total, 29 studies were included that investigated AD-related changes to the CSF proteome, including a total of 1434 individuals with AD (of whom 47.1% had a CSF biomarker profile and 9.6% a postmortem examination consistent with AD) and 1380 controls. The studies reported 1 to 138 proteins associated with AD, of which 97 proteins were reported by two or more studies. Among proteins that were measured in more than one study, 27 (27.8%) showed consistent increases, 15 (15.5%) consistent decreases and 55 (56.7%) had contrasting results. Pathway analyses showed that AD-related proteins were enriched for hemostasis, lipoprotein and extracellular matrix pathways.These results indicate that proteomic alterations in CSF associated with AD reflect involvement of various biological pathways. The frequent occurrence of inconsistent protein level changes reported by different studies suggests that additional biological and/or (pre)analytical factors may influence the CSF proteome in AD, which should be further investigated in order to improve understanding of the biological complexity underlying AD.
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Affiliation(s)
- Kirsten E J Wesenhagen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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31
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Proteomics in Human Parkinson’s Disease: Present Scenario and Future Directions. Cell Mol Neurobiol 2019; 39:901-915. [DOI: 10.1007/s10571-019-00700-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 06/04/2019] [Indexed: 12/26/2022]
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32
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Sathe G, Na CH, Renuse S, Madugundu AK, Albert M, Moghekar A, Pandey A. Quantitative Proteomic Profiling of Cerebrospinal Fluid to Identify Candidate Biomarkers for Alzheimer's Disease. Proteomics Clin Appl 2019; 13:e1800105. [PMID: 30578620 DOI: 10.1002/prca.201800105] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 12/17/2018] [Indexed: 12/13/2022]
Abstract
PURPOSE The aim of this study is to identify the potential cerebrospinal fluid (CSF) biomarkers for Alzheimer's disease and to evaluate these markers on independent CSF samples using parallel reaction monitoring (PRM) assays. EXPERIMENTAL DESIGN High-Resolution mass spectrometry and tandem mass tag (TMT) multiplexing technology are employed to identify potential biomarkers for Alzheimer's disease. Some of the identified potential biomarkers are validated using PRM assays. RESULTS A total of 2327 proteins are identified in the CSF of which 139 are observed to be significantly altered in the CSF of AD patients. The proteins altered in AD includes a number of known AD marker such as MAPT, NPTX2, VGF, GFAP, and NCAM1 as well as novel biomarkers such as PKM and YWHAG. These findings are validated in a separate set of CSF specimens from AD dementia patients and controls. NPTX2, in combination with PKM or YWHAG, leads to the best results with AUCs of 0.935 and 0.933, respectively. CONCLUSIONS AND CLINICAL RELEVANCE The proteins that are found to be altered in the CSF of patients with AD could be used for monitoring disease progression and therapeutic response and perhaps also for early detection once they are validated in larger studies.
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Affiliation(s)
- Gajanan Sathe
- Center for Molecular Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, 560029, India.,Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.,Manipal Academy of Higher Education (MAHE), Manipal, 576104, Karnataka, India
| | - Chan Hyun Na
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.,Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Santosh Renuse
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Anil K Madugundu
- Center for Molecular Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, 560029, India.,Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.,Manipal Academy of Higher Education (MAHE), Manipal, 576104, Karnataka, India
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Akhilesh Pandey
- Center for Molecular Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, 560029, India.,Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.,Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.,Departments of Biological Chemistry, Pathology and Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
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33
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Cartography of hevin-expressing cells in the adult brain reveals prominent expression in astrocytes and parvalbumin neurons. Brain Struct Funct 2019; 224:1219-1244. [PMID: 30656447 DOI: 10.1007/s00429-019-01831-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 01/08/2019] [Indexed: 02/03/2023]
Abstract
Hevin, also known as SPARC-like 1, is a member of the secreted protein acidic and rich in cysteine family of matricellular proteins, which has been implicated in neuronal migration and synaptogenesis during development. Unlike previously characterized matricellular proteins, hevin remains strongly expressed in the adult brain in both astrocytes and neurons, but its precise pattern of expression is unknown. The present study provides the first systematic description of hevin mRNA distribution in the adult mouse brain. Using isotopic in situ hybridization, we showed that hevin is strongly expressed in the cortex, hippocampus, basal ganglia complex, diverse thalamic nuclei and brainstem motor nuclei. To identify the cellular phenotype of hevin-expressing cells, we used double fluorescent in situ hybridization in mouse and human adult brains. In the mouse, hevin mRNA was found in the majority of astrocytes but also in specific neuronal populations. Hevin was expressed in almost all parvalbumin-positive projection neurons and local interneurons. In addition, hevin mRNA was found in: (1) subsets of other inhibitory GABAergic neuronal subtypes, including calbindin, cholecystokinin, neuropeptide Y, and somatostatin-positive neurons; (2) subsets of glutamatergic neurons, identified by the expression of the vesicular glutamate transporters VGLUT1 and VGLUT2; and (3) the majority of cholinergic neurons from motor nuclei. Hevin mRNA was absent from all monoaminergic neurons and cholinergic neurons of the ascending pathway. A similar cellular profile of expression was observed in human, with expression of hevin in parvalbumin interneurons and astrocytes in the cortex and caudate nucleus as well as in cortical glutamatergic neurons. Furthermore, hevin transcript was enriched in ribosomes of astrocytes and parvalbumin neurons providing a direct evidence of hevin mRNAs translation in these cell types. This study reveals the unique and complex expression profile of the matricellular protein hevin in the adult brain. This distribution is compatible with a role of hevin in astrocytic-mediated adult synaptic plasticity and in the regulation of network activity mediated by parvalbumin-expressing neurons.
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34
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Hsu WH, Shen YC, Shiao YJ, Kuo CH, Lu CK, Lin TY, Ku WC, Lin YL. Combined proteomic and metabolomic analyses of cerebrospinal fluid from mice with ischemic stroke reveals the effects of a Buyang Huanwu decoction in neurodegenerative disease. PLoS One 2019; 14:e0209184. [PMID: 30645580 PMCID: PMC6333407 DOI: 10.1371/journal.pone.0209184] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 12/01/2018] [Indexed: 01/11/2023] Open
Abstract
Ischemic stroke is one of the most common causes of death worldwide and is a major cause of acquired disability in adults. However, there is still a need for an effective drug for its treatment. Buyang Huanwu decoction (BHD), a traditional Chinese medicine (TCM) prescription, has long been used clinically to aid neurological recovery after stroke. To establish potential clinical indicators of BHD efficacy in stroke treatment and prognosis, we conducted a combined proteomic and metabolomic analysis of cerebrospinal fluid (CSF) samples in a mouse stroke model. CSF samples were obtained from male mice with acute ischemic stroke induced by middle cerebral ischemic/reperfusion (CI/R) injury, some of which were then treated with BHD. Label-free quantitative proteomics was conducted using nano-LC-MS/MS on an LTQ Orbitrap mass and metabolomic analysis was performed using nanoprobe NMR and UHPLC-QTOF-MS. The results showed that several proteins and metabolites were present at significantly different concentrations in the CSF samples from mice with CI/R alone and those treated with BHD. These belonged to pathways related to energy demand, inflammatory signaling, cytoskeletal regulation, Wnt signaling, and neuroprotection against neurodegenerative diseases. In conclusion, our in silico data suggest that BHD treatment is not only protective but can also ameliorate defects in pathways affected by neurological disorders. These data shed light on the mechanism whereby BHD may be effective in the treatment and prevention of stroke-related neurodegenerative disease.
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Affiliation(s)
- Wei-Hsiang Hsu
- Department of Chinese Pharmaceutical Sciences and Chinese Medicine Resources, China Medical University, Taichung, Taiwan
| | - Yuh-Chiang Shen
- National Research Institute of Chinese Medicine, Ministry of Health and Welfare, Taipei, Taiwan
| | - Young-Ji Shiao
- National Research Institute of Chinese Medicine, Ministry of Health and Welfare, Taipei, Taiwan
| | - Ching-Hua Kuo
- Department of Pharmacy, National Taiwan University, Taipei, Taiwan
| | - Chung-Kuang Lu
- National Research Institute of Chinese Medicine, Ministry of Health and Welfare, Taipei, Taiwan
| | - Tai-Yuan Lin
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei, Taiwan
| | - Wei-Chi Ku
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei, Taiwan
- * E-mail: (YLL); (WCK)
| | - Yun-Lian Lin
- Department of Chinese Pharmaceutical Sciences and Chinese Medicine Resources, China Medical University, Taichung, Taiwan
- Department of Pharmacy, National Taiwan University, Taipei, Taiwan
- * E-mail: (YLL); (WCK)
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35
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Schilde LM, Kösters S, Steinbach S, Schork K, Eisenacher M, Galozzi S, Turewicz M, Barkovits K, Mollenhauer B, Marcus K, May C. Protein variability in cerebrospinal fluid and its possible implications for neurological protein biomarker research. PLoS One 2018; 13:e0206478. [PMID: 30496192 PMCID: PMC6264484 DOI: 10.1371/journal.pone.0206478] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 10/12/2018] [Indexed: 11/19/2022] Open
Abstract
Cerebrospinal fluid is investigated in biomarker studies for various neurological disorders of the central nervous system due to its proximity to the brain. Currently, only a limited number of biomarkers have been validated in independent studies. The high variability in the protein composition and protein abundance of cerebrospinal fluid between as well as within individuals might be an important reason for this phenomenon. To evaluate this possibility, we investigated the inter- and intraindividual variability in the cerebrospinal fluid proteome globally, with a specific focus on disease biomarkers described in the literature. Cerebrospinal fluid from a longitudinal study group including 12 healthy control subjects was analyzed by label-free quantification (LFQ) via LC-MS/MS. Data were quantified via MaxQuant. Then, the intra- and interindividual variability and the reference change value were calculated for every protein. We identified and quantified 791 proteins, and 216 of these proteins were abundant in all samples and were selected for further analysis. For these proteins, we found an interindividual coefficient of variation of up to 101.5% and an intraindividual coefficient of variation of up to 29.3%. Remarkably, these values were comparably high for both proteins that were published as disease biomarkers and other proteins. Our results support the hypothesis that natural variability greatly impacts cerebrospinal fluid protein biomarkers because high variability can lead to unreliable results. Thus, we suggest controlling the variability of each protein to distinguish between good and bad biomarker candidates, e.g., by utilizing reference change values to improve the process of evaluating potential biomarkers in future studies.
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Affiliation(s)
- Lukas M. Schilde
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Steffen Kösters
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Simone Steinbach
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Karin Schork
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Martin Eisenacher
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Sara Galozzi
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Michael Turewicz
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Katalin Barkovits
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Klinikstraße, Kassel, and University Medical Center Göttingen, Department of Neurology, Göttingen, Germany
| | - Katrin Marcus
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Caroline May
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
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36
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Song H, Zhou H, Qu Z, Hou J, Chen W, Cai W, Cheng Q, Chuang DY, Chen S, Li S, Li J, Cheng J, Greenlief CM, Lu Y, Simonyi A, Sun GY, Wu C, Cui J, Gu Z. From Analysis of Ischemic Mouse Brain Proteome to Identification of Human Serum Clusterin as a Potential Biomarker for Severity of Acute Ischemic Stroke. Transl Stroke Res 2018; 10:546-556. [PMID: 30465328 DOI: 10.1007/s12975-018-0675-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 11/01/2018] [Accepted: 11/11/2018] [Indexed: 12/22/2022]
Abstract
Ischemic stroke is a devastating neurological disease that can cause permanent brain damage, but to date, few biomarkers are available to reliably assess the severity of injury during acute onset. In this study, quantitative proteomic analysis of ischemic mouse brain detected the increase in expression levels of clusterin (CLU) and cystatin C (CST3). Since CLU is a secretary protein, serum samples (n = 70) were obtained from acute ischemic stroke (AIS) patients within 24 h of stroke onset and together with 70 matched health controls. Analysis of CLU levels indicated significantly higher levels in AIS patients than healthy controls (14.91 ± 4.03 vs. 12.79 ± 2.22 ng/L; P = 0.0004). Analysis of serum CST3 also showed significant increase in AIS patients as compared with healthy controls (0.90 ± 0.19 vs. 0.84 ± 0.12 ng/L; P = 0.0064). The serum values of CLU were also positively correlated with the NIH Stroke Scale (NIHSS) scores, the time interval after stroke onset, as well as major stroke risk factors associated with lipid profile. These data demonstrate that elevated levels of serum CLU and CST3 are independently associated with AIS and may serve as peripheral biomarkers to aid clinical assessment of AIS and its severity. This pilot study thus contributes to progress toward preclinical proteomic screening by using animal models and allows translation of results from bench to bedside.
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Affiliation(s)
- Hailong Song
- Department of Pathology & Anatomical Sciences, University of Missouri, Columbia, MO, 65211, USA.,Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA
| | - Hui Zhou
- Department of Pathology & Anatomical Sciences, University of Missouri, Columbia, MO, 65211, USA.,Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA
| | - Zhe Qu
- Department of Pathology & Anatomical Sciences, University of Missouri, Columbia, MO, 65211, USA.,Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA
| | - Jie Hou
- Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA.,Computer Science, University of Missouri, Columbia, MO, 65211, USA
| | - Weilong Chen
- Department of Neurology, the Second Affiliated Clinical College of Fujian University of Traditional Chinese Medicine, Fuzhou, 350001, China
| | - Weiwu Cai
- Department of Neurology, the Second Affiliated Clinical College of Fujian University of Traditional Chinese Medicine, Fuzhou, 350001, China
| | - Qiong Cheng
- Department of Neurology, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Dennis Y Chuang
- Department of Pathology & Anatomical Sciences, University of Missouri, Columbia, MO, 65211, USA.,Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA.,Biochemistry, University of Missouri, Columbia, MO, 65211, USA
| | - Shanyan Chen
- Department of Pathology & Anatomical Sciences, University of Missouri, Columbia, MO, 65211, USA.,Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA
| | - Shuwei Li
- Department of Chemistry and Biochemistry, University of Maryland, College Park, MD, 20742, USA
| | - Jilong Li
- Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA.,Computer Science, University of Missouri, Columbia, MO, 65211, USA
| | - Jianlin Cheng
- Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA.,Computer Science, University of Missouri, Columbia, MO, 65211, USA
| | | | - Yuan Lu
- Xiphophorus Genetic Stock Center, Texas State University, San Marcos, TX, 78666, USA
| | - Agnes Simonyi
- Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA.,Biochemistry, University of Missouri, Columbia, MO, 65211, USA
| | - Grace Y Sun
- Department of Pathology & Anatomical Sciences, University of Missouri, Columbia, MO, 65211, USA.,Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA.,Biochemistry, University of Missouri, Columbia, MO, 65211, USA
| | - Chenghan Wu
- Department of Neurology, the Second Affiliated Clinical College of Fujian University of Traditional Chinese Medicine, Fuzhou, 350001, China
| | - Jiankun Cui
- Department of Pathology & Anatomical Sciences, University of Missouri, Columbia, MO, 65211, USA.,Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA
| | - Zezong Gu
- Department of Pathology & Anatomical Sciences, University of Missouri, Columbia, MO, 65211, USA. .,Center for Botanical Interaction Studies, University of Missouri, Columbia, MO, 65211, USA.
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37
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Barkovits K, Linden A, Galozzi S, Schilde L, Pacharra S, Mollenhauer B, Stoepel N, Steinbach S, May C, Uszkoreit J, Eisenacher M, Marcus K. Characterization of Cerebrospinal Fluid via Data-Independent Acquisition Mass Spectrometry. J Proteome Res 2018; 17:3418-3430. [PMID: 30207155 DOI: 10.1021/acs.jproteome.8b00308] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Cerebrospinal fluid (CSF) is in direct contact with the brain and serves as a valuable specimen to examine diseases of the central nervous system through analyzing its components. These include the analysis of metabolites, cells as well as proteins. For identifying new suitable diagnostic protein biomarkers bottom-up data-dependent acquisition (DDA) mass spectrometry-based approaches are most popular. Drawbacks of this method are stochastic and irreproducible precursor ion selection. Recently, data-independent acquisition (DIA) emerged as an alternative method. It overcomes several limitations of DDA, since it combines the benefits of DDA and targeted methods like selected reaction monitoring (SRM). We established a DIA method for in-depth proteome analysis of CSF. For this, four spectral libraries were generated with samples from native CSF ( n = 5), CSF fractionation (15 in total) and substantia nigra fractionation (54 in total) and applied to three CSF DIA replicates. The DDA and DIA methods for CSF were conducted with the same nanoLC parameters using a 180 min gradient. Compared to a conventional DDA method, our DIA approach increased the number of identified protein groups from 648 identifications in DDA to 1574 in DIA using a comprehensive spectral library generated with DDA measurements from five native CSF and 54 substantia nigra fractions. We also could show that a sample specific spectral library generated from native CSF only increased the identification reproducibility from three DIA replicates to 90% (77% with a DDA method). Moreover, by utilizing a substantia nigra specific spectral library for CSF DIA, over 60 brain-originated proteins could be identified compared to only 11 with DDA. In conclusion, the here presented optimized DIA method substantially outperforms DDA and could develop into a powerful tool for biomarker discovery in CSF. Data are available via ProteomeXchange with the identifiers PXD010698, PXD010708, PXD010690, PXD010705, and PXD009624.
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Affiliation(s)
- Katalin Barkovits
- Ruhr University Bochum, Medical Faculty , Medizinisches Proteom-Center , Universitaetsstrasse 150 , D-44801 Bochum , Germany
| | - Andreas Linden
- Ruhr University Bochum, Medical Faculty , Medizinisches Proteom-Center , Universitaetsstrasse 150 , D-44801 Bochum , Germany
| | - Sara Galozzi
- Ruhr University Bochum, Medical Faculty , Medizinisches Proteom-Center , Universitaetsstrasse 150 , D-44801 Bochum , Germany
| | - Lukas Schilde
- Ruhr University Bochum, Medical Faculty , Medizinisches Proteom-Center , Universitaetsstrasse 150 , D-44801 Bochum , Germany
| | - Sandra Pacharra
- Ruhr University Bochum, Medical Faculty , Medizinisches Proteom-Center , Universitaetsstrasse 150 , D-44801 Bochum , Germany
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik , Klinikstraße 16 , D-34128 Kassel , Germany
| | - Nadine Stoepel
- Ruhr University Bochum, Medical Faculty , Medizinisches Proteom-Center , Universitaetsstrasse 150 , D-44801 Bochum , Germany
| | - Simone Steinbach
- Ruhr University Bochum, Medical Faculty , Medizinisches Proteom-Center , Universitaetsstrasse 150 , D-44801 Bochum , Germany
| | - Caroline May
- Ruhr University Bochum, Medical Faculty , Medizinisches Proteom-Center , Universitaetsstrasse 150 , D-44801 Bochum , Germany
| | - Julian Uszkoreit
- Ruhr University Bochum, Medical Faculty , Medizinisches Proteom-Center , Universitaetsstrasse 150 , D-44801 Bochum , Germany
| | - Martin Eisenacher
- Ruhr University Bochum, Medical Faculty , Medizinisches Proteom-Center , Universitaetsstrasse 150 , D-44801 Bochum , Germany
| | - Katrin Marcus
- Ruhr University Bochum, Medical Faculty , Medizinisches Proteom-Center , Universitaetsstrasse 150 , D-44801 Bochum , Germany
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Alzheimer's disease in the omics era. Clin Biochem 2018; 59:9-16. [DOI: 10.1016/j.clinbiochem.2018.06.011] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Revised: 05/30/2018] [Accepted: 06/15/2018] [Indexed: 12/31/2022]
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Swanson A, Wolf T, Sitzmann A, Willette AA. Neuroinflammation in Alzheimer's disease: Pleiotropic roles for cytokines and neuronal pentraxins. Behav Brain Res 2018; 347:49-56. [PMID: 29462653 PMCID: PMC5988985 DOI: 10.1016/j.bbr.2018.02.015] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 01/30/2018] [Accepted: 02/13/2018] [Indexed: 12/14/2022]
Abstract
Neuroinflammation is a potential factor speculated to underlie Alzheimer's disease (AD) etiopathogenesis and progression. The overwhelming focus in this area of research to date has been on the chronic upregulation of pro-inflammatory cytokines to understand how neuroinflammatory mechanisms contribute to neurodegeneration. Yet, it is important to understand the pleiotropic roles of these cytokines in modulating neuroinflammation in which they cannot be labeled as a strictly "good" or "bad" biomarker phenotype. As such, biomarkers with more precise functions are needed to better understand how neuroinflammation impacts the brain in AD. Neuronal pentraxins are a concentration- dependent group of pro- or anti- inflammatory cytokines. There is contradictory evidence of these pentraxins as being both neuroprotective and potentially detrimental in AD. Potential neuroprotective examples include their ability to predict AD-related outcomes such as cognition, memory function and synaptic refinement. This review will briefly outline the basis of AD and subsequently summarize findings for neuropathological mechanisms of neuroinflammation, roles for traditional pro-and anti-inflammatory cytokines, and data found thus far on the neuronal pentraxins.
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Affiliation(s)
- Ashley Swanson
- Department of Food Science and Human Nutrition, Iowa State University, 2312 Food Sciences Building, 536 Farm House Lane, Ames, IA 50011, United States.
| | - Tovah Wolf
- Department of Food Science and Human Nutrition, Iowa State University, 2312 Food Sciences Building, 536 Farm House Lane, Ames, IA 50011, United States.
| | - Alli Sitzmann
- Department of Psychology, Iowa State University, W112 Lagomarcino Hall, 901 Stange Road, Ames, IA 50011, United States.
| | - Auriel A Willette
- Department of Food Science and Human Nutrition, Iowa State University, 2312 Food Sciences Building, 536 Farm House Lane, Ames, IA 50011, United States; Department of Psychology, Iowa State University, W112 Lagomarcino Hall, 901 Stange Road, Ames, IA 50011, United States; Department of Biomedical Sciences, Iowa State University, 2008 Veterinary Medicine, Ames, IA 50011, United States; Department of Neurology, University of Iowa, 2007 Roy Carver Pavilion, 200 Hawkins Drive, Iowa City, IA 52242, United States.
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Peripheral Biomarkers for Early Detection of Alzheimer's and Parkinson's Diseases. Mol Neurobiol 2018; 56:2256-2277. [PMID: 30008073 DOI: 10.1007/s12035-018-1151-4] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 05/24/2018] [Indexed: 01/18/2023]
Abstract
Neurological disorders are found to be influencing the peripheral tissues outside CNS. Recent developments in biomarkers for CNS have emerged with various diagnostic and therapeutic shortcomings. The role of central biomarkers including CSF-based and molecular imaging-based probes are still unclear for early diagnosis of major neurological diseases. Current trends show that early detection of neurodegenerative diseases with non-invasive methods is a major focus of researchers, and the development of biomarkers aiming peripheral tissues is in demand. Alzheimer's and Parkinson's diseases are known for the progressive loss in neural structures or functions, including the neural death. Various dysfunctions of metabolic and biochemical pathways are associated with early occurrence of neuro-disorders in peripheral tissues including skin, blood cells, and eyes. This article reviews the peripheral biomarkers explored for early detection of Alzheimer's and Parkinson's diseases including blood cells, skin fibroblast, proteomics, saliva, olfactory, stomach and colon, heart and peripheral nervous system, and others. Graphical Abstract.
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Begcevic I, Tsolaki M, Brinc D, Brown M, Martinez-Morillo E, Lazarou I, Kozori M, Tagaraki F, Nenopoulou S, Gkioka M, Lazarou E, Lim B, Batruch I, Diamandis EP. Neuronal pentraxin receptor-1 is a new cerebrospinal fluid biomarker of Alzheimer's disease progression. F1000Res 2018; 7:1012. [PMID: 30191060 PMCID: PMC6081984 DOI: 10.12688/f1000research.15095.1] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/22/2018] [Indexed: 12/31/2022] Open
Abstract
Background: Alzheimer's disease (AD) is the most common type of dementia, with progressive onset of clinical symptoms. The main pathological hallmarks are brain deposits of extracellular amyloid beta plaques and intracellular neurofibrillary tangles (NFT). Cerebrospinal fluid reflects pathological changes in the brain; amyloid beta 1-42 is a marker of amyloid plaques, while total and phosphorylated tau are markers of NFT formation. Additional biomarkers associated with disease pathogenesis are needed, for better prognosis, more specific diagnosis, prediction of disease severity and progression and for improved patient classification in clinical trials. The aim of the present study was to evaluate brain-specific proteins as potential biomarkers of progression of AD. Methods: Overall, 30 candidate proteins were quantified in cerebrospinal fluid (CSF) samples from patients with mild cognitive impairment (MCI) and mild, moderate and severe AD dementia (n=101) using mass spectrometry-based selected reaction monitoring assays. ELISA was used for neuronal pentraxin receptor-1 (NPTXR) confirmation. Results: The best discrimination between MCI and more advanced AD stages (moderate and severe dementia) was observed for protein NPTXR (area under the curve, AUC=0.799). A statistically different abundance of this protein was observed between the two groups, with severe AD patients having progressively lower levels (p<0.05). ELISA confirmed lower levels in AD, in a separate cohort that included controls, MCI and AD patients. Conclusions: We conclude that NPTXR protein in CSF is a novel potential biomarker of AD progression and could have important utility in assessing treatment success in clinical trials.
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Affiliation(s)
- Ilijana Begcevic
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Department of Pathology & Laboratory Medicine, Mount Sinai Hospital, Toronto, Canada
| | - Magda Tsolaki
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Davor Brinc
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Department of Pathology & Laboratory Medicine, Mount Sinai Hospital, Toronto, Canada
- Department of Clinical Biochemistry, University Health Network, Toronto, Canada
| | - Marshall Brown
- Department of Biostatistics, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Eduardo Martinez-Morillo
- Laboratory of Medicine, Department of Clinical Biochemistry, Hospital Universitario Central, Oviedo, Spain
| | - Ioulietta Lazarou
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mahi Kozori
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Fani Tagaraki
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Stella Nenopoulou
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mara Gkioka
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Eutichia Lazarou
- 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Bryant Lim
- Department of Pathology & Laboratory Medicine, Mount Sinai Hospital, Toronto, Canada
| | - Ihor Batruch
- Department of Pathology & Laboratory Medicine, Mount Sinai Hospital, Toronto, Canada
| | - Eleftherios P. Diamandis
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Department of Pathology & Laboratory Medicine, Mount Sinai Hospital, Toronto, Canada
- Department of Clinical Biochemistry, University Health Network, Toronto, Canada
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Contactin-2, a synaptic and axonal protein, is reduced in cerebrospinal fluid and brain tissue in Alzheimer's disease. ALZHEIMERS RESEARCH & THERAPY 2018; 10:52. [PMID: 29859129 PMCID: PMC5984818 DOI: 10.1186/s13195-018-0383-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 05/09/2018] [Indexed: 11/23/2022]
Abstract
Background Synaptic and axonal loss are two major mechanisms underlying Alzheimer’s disease (AD) pathogenesis, and biomarkers reflecting changes in these cellular processes are needed for early diagnosis and monitoring the progression of AD. Contactin-2 is a synaptic and axonal membrane protein that interacts with proteins involved in the pathology of AD such as amyloid precursor protein (APP) and beta-secretase 1 (BACE1). We hypothesized that AD might be characterized by changes in contactin-2 levels in the cerebrospinal fluid (CSF) and brain tissue. Therefore, we aimed to investigate the levels of contactin-2 in the CSF and evaluate its relationship with disease pathology. Methods Contactin-2 was measured in CSF from two cohorts (selected from the Amsterdam Dementia Cohort), comprising samples from controls (cohort 1, n = 28; cohort 2, n = 20) and AD (cohort 1, n = 36; cohort 2, n = 70) using an analytically validated commercial enzyme-linked immunosorbent assay (ELISA). The relationship of contactin-2 with cognitive decline (Mini-Mental State Examination (MMSE)) and other CSF biomarkers reflecting AD pathology were analyzed. We further characterized the expression of contactin-2 in postmortem AD human brain (n = 14) versus nondemented controls (n = 9). Results CSF contactin-2 was approximately 1.3-fold reduced in AD patients compared with controls (p < 0.0001). Overall, contactin-2 levels correlated with MMSE scores (r = 0.35, p = 0.004). We observed that CSF contactin-2 correlated with the levels of phosphorylated tau within the control (r = 0.46, p < 0.05) and AD groups (r = 0.31, p < 0.05). Contactin-2 also correlated strongly with another synaptic biomarker, neurogranin (control: r = 0.62, p < 0.05; AD: r = 0.60, p < 0.01), and BACE1, a contactin-2 processing enzyme (control: r = 0.64, p < 0.01; AD: r = 0.46, p < 0.05). Results were further validated in a second cohort (p < 0.01). Immunohistochemical analysis revealed that contactin-2 is expressed in the extracellular matrix. Lower levels of contactin-2 were specifically found in and around amyloid plaques in AD hippocampus and temporal cortex. Conclusions Taken together, these data reveal that the contactin-2 changes observed in tissues are reflected in CSF, suggesting that decreased contactin-2 CSF levels might be a biomarker reflecting synaptic or axonal loss. Electronic supplementary material The online version of this article (10.1186/s13195-018-0383-x) contains supplementary material, which is available to authorized users.
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Anada RP, Wong KT, Jayapalan JJ, Hashim OH, Ganesan D. Panel of serum protein biomarkers to grade the severity of traumatic brain injury. Electrophoresis 2018; 39:2308-2315. [PMID: 29570807 DOI: 10.1002/elps.201700407] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 03/11/2018] [Accepted: 03/12/2018] [Indexed: 12/22/2022]
Abstract
The Glasgow Coma Scale (GCS), which classifies patients into mild, moderate or severe traumatic brain injury (TBI), is a system used to prioritize treatment and prognosticate the severity of head injury. In this study, sera of patients with various stages of TBI, as well as control subjects, were analyzed to screen for proteins that may be used to complement the GCS system. By subjecting pooled serum samples to iTRAQ analysis for quantitative comparison of protein abundance, and attesting their altered levels using ELISA, we have detected increased levels of serum amyloid A, C-reactive protein, leucine-rich alpha-2-glycoprotein, lipopolysaccharide-binding protein, fibronectin, vitronectin and alpha-1-antichymotrypsin in patients across all strata of TBI relative to the controls. However, kininogen was decreased only in moderate and severe TBI, whereas apolipoprotein E and zinc-alpha-2-glycoprotein were only increased in severe TBI. Hence, we propose a panel of serum biomarkers, which if analyzed within 24 h of the injury, can be used to diagnose patients with TBI into mild, moderate or severe stratification objectively, thus complementing the traditional GCS.
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Affiliation(s)
- Raj Poovindran Anada
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Kum Thong Wong
- Department of Pathology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Jaime Jacqueline Jayapalan
- University of Malaya Centre for Proteomics Research, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Onn Haji Hashim
- University of Malaya Centre for Proteomics Research, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.,Department of Molecular Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Dharmendra Ganesan
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
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Begcevic I, Brinc D, Brown M, Martinez-Morillo E, Goldhardt O, Grimmer T, Magdolen V, Batruch I, Diamandis EP. Brain-related proteins as potential CSF biomarkers of Alzheimer's disease: A targeted mass spectrometry approach. J Proteomics 2018; 182:12-20. [PMID: 29684683 DOI: 10.1016/j.jprot.2018.04.027] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 03/15/2018] [Accepted: 04/17/2018] [Indexed: 12/30/2022]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia, characterized by progressive cognitive decline. The main disease hallmarks include amyloid beta aggregates and neurofibrillary tangles. Brain pathology is reflected in cerebrospinal fluid (CSF); the core biomarkers amyloid beta 1-42, total and phosphorylated tau protein levels are changed, relative to cognitively normal elderly. Still, there is a need for additional biomarkers which could identify disease more accurately and at an earlier stage, predict severity and be used in research settings. Here we evaluated 30 brain-related proteins as candidate biomarkers of AD. Proteins were quantified in CSF samples from cognitively healthy individuals (n = 23) and patients with mild cognitive impairment (MCI) due to AD (n = 20) or dementia due to AD (n = 10) using selected reaction monitoring mass spectrometry assays. APLP1 protein was increased in MCI relative to control (p < 0.001). The best discrimination between MCI vs. controls was observed with a model combining APLP1 and SPP1 proteins (area under the curve, AUC = 0.84). The strongest associations between protein abundance and disease severity were found for APLP1, CNTN2 and SPP1 proteins, which had a significant correlation with MMSE and CDR tests (p < 0.05). This study identifies new proteins with biomarker potential at various stages of AD severity. SIGNIFICANCE The current study evaluated 30 brain-related, highly specific proteins as candidate biomarkers of AD diagnosis. Protein APLP1 showed promise as early AD biomarker; protein panel APLP1 and SPP1 had the best diagnostic potential in discriminating MCI from control group, while proteins APLP1, SPP1 and CNTN2 may be indicators of disease progression, demonstrating weak to moderate correlation with cognitive tests. This study therefore identifies new proteins with biomarker potential at early AD stage. If the performance of proposed biomarkers is further confirmed, these proteins may add value in the clinic or clinical trial settings as diagnostic biomarkers (alone or in combination with the existing biomarkers) of the prodromal AD stage, and in monitoring disease progression.
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Affiliation(s)
- Ilijana Begcevic
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Department of Pathology & Laboratory Medicine, Mount Sinai Hospital, Toronto, Canada
| | - Davor Brinc
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Department of Pathology & Laboratory Medicine, Mount Sinai Hospital, Toronto, Canada; Department of Clinical Biochemistry, University Health Network, Toronto, Canada
| | - Marshall Brown
- Department of Biostatistics, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Eduardo Martinez-Morillo
- Laboratory of Medicine, Department of Clinical Biochemistry, Hospital Universitario Central, Oviedo, Spain
| | - Oliver Goldhardt
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Viktor Magdolen
- Department of Obstetrics and Gynecology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Ihor Batruch
- Department of Pathology & Laboratory Medicine, Mount Sinai Hospital, Toronto, Canada
| | - Eleftherios P Diamandis
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Department of Pathology & Laboratory Medicine, Mount Sinai Hospital, Toronto, Canada; Department of Clinical Biochemistry, University Health Network, Toronto, Canada.
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Hillen AEJ, Burbach JPH, Hol EM. Cell adhesion and matricellular support by astrocytes of the tripartite synapse. Prog Neurobiol 2018; 165-167:66-86. [PMID: 29444459 DOI: 10.1016/j.pneurobio.2018.02.002] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 07/25/2017] [Accepted: 02/07/2018] [Indexed: 12/18/2022]
Abstract
Astrocytes contribute to the formation, function, and plasticity of synapses. Their processes enwrap the neuronal components of the tripartite synapse, and due to this close interaction they are perfectly positioned to modulate neuronal communication. The interaction between astrocytes and synapses is facilitated by cell adhesion molecules and matricellular proteins, which have been implicated in the formation and functioning of tripartite synapses. The importance of such neuron-astrocyte integration at the synapse is underscored by the emerging role of astrocyte dysfunction in synaptic pathologies such as autism and schizophrenia. Here we review astrocyte-expressed cell adhesion molecules and matricellular molecules that play a role in integration of neurons and astrocytes within the tripartite synapse.
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Affiliation(s)
- Anne E J Hillen
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CG Utrecht, The Netherlands; Department of Pediatrics/Child Neurology, VU University Medical Center, 1081 HV Amsterdam, The Netherlands
| | - J Peter H Burbach
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CG Utrecht, The Netherlands
| | - Elly M Hol
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CG Utrecht, The Netherlands; Swammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, 1098 XH Amsterdam, The Netherlands; Department of Neuroimmunology, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA Amsterdam, The Netherlands.
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Seddighi S, Varma VR, An Y, Varma S, Beason-Held LL, Tanaka T, Kitner-Triolo MH, Kraut MA, Davatzikos C, Thambisetty M. SPARCL1 Accelerates Symptom Onset in Alzheimer's Disease and Influences Brain Structure and Function During Aging. J Alzheimers Dis 2018; 61:401-414. [PMID: 29154276 PMCID: PMC5934753 DOI: 10.3233/jad-170557] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
We recently reported that alpha-2 macroglobulin (A2M) is a biomarker of neuronal injury in Alzheimer's disease (AD) and identified a network of nine genes co-expressed with A2M in the brain. This network includes the gene encoding SPARCL1, a protein implicated in synaptic maintenance. Here, we examine whether SPARCL1 is associated with longitudinal changes in brain structure and function in older individuals at risk for AD in the Baltimore Longitudinal Study of Aging. Using data from the Gene-Tissue Expression Project, we first identified two single nucleotide polymorphisms (SNPs), rs9998212 and rs7695558, associated with lower brain SPARCL1 gene expression. We then analyzed longitudinal trajectories of cognitive performance in 591 participants who remained cognitively normal (average follow-up interval: 11.8 years) and 129 subjects who eventually developed MCI or AD (average follow-up interval: 9.4 years). Cognitively normal minor allele carriers of rs7695558 who developed incident AD showed accelerated memory loss prior to disease onset. Next, we compared longitudinal changes in brain volumes (MRI; n = 120 participants; follow-up = 6.4 years; 826 scans) and resting-state cerebral blood flow (rCBF; 15O-water PET; n = 81 participants; follow-up = 7.7 years; 664 scans) in cognitively normal participants. Cognitively normal minor allele carriers of rs9998212 showed accelerated atrophy in several global, lobar, and regional brain volumes. Minor allele carriers of both SNPs showed longitudinal changes in rCBF in several brain regions, including those vulnerable to AD pathology. Our findings suggest that SPARCL1 accelerates AD pathogenesis and thus link neuroinflammation with widespread changes in brain structure and function during aging.
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Affiliation(s)
- Sahba Seddighi
- Clinical and Translational Neuroscience Unit, Laboratory of Behavioral Neuroscience, National Institute on Aging (NIA), National Institutes of Health (NIH), Baltimore, MD, USA
| | - Vijay R. Varma
- Clinical and Translational Neuroscience Unit, Laboratory of Behavioral Neuroscience, National Institute on Aging (NIA), National Institutes of Health (NIH), Baltimore, MD, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | | | - Lori L. Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | | | - Michael A. Kraut
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Christos Davatzikos
- Department of Radiology, Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - Madhav Thambisetty
- Clinical and Translational Neuroscience Unit, Laboratory of Behavioral Neuroscience, National Institute on Aging (NIA), National Institutes of Health (NIH), Baltimore, MD, USA
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Connor DE, Chaitanya GV, Chittiboina P, McCarthy P, Scott LK, Schrott L, Minagar A, Nanda A, Alexander JS. Variations in the cerebrospinal fluid proteome following traumatic brain injury and subarachnoid hemorrhage. PATHOPHYSIOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY FOR PATHOPHYSIOLOGY 2017; 24:169-183. [PMID: 28549769 PMCID: PMC7303909 DOI: 10.1016/j.pathophys.2017.04.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Revised: 04/06/2017] [Accepted: 04/28/2017] [Indexed: 12/19/2022]
Abstract
BACKGROUND Proteomic analysis of cerebrospinal fluid (CSF) has shown great promise in identifying potential markers of injury in neurodegenerative diseases [1-13]. Here we compared CSF proteomes in healthy individuals, with patients diagnosed with traumatic brain injury (TBI) and subarachnoid hemorrhage (SAH) in order to characterize molecular biomarkers which might identify these different clinical states and describe different molecular mechanisms active in each disease state. METHODS Patients presenting to the Neurosurgery service at the Louisiana State University Hospital-Shreveport with an admitting diagnosis of TBI or SAH were prospectively enrolled. Patients undergoing CSF sampling for diagnostic procedures were also enrolled as controls. CSF aliquots were subjected to 2-dimensional gel electrophoresis (2D GE) and spot percentage densities analyzed. Increased or decreased spot expression (compared to controls) was defined in terms of in spot percentages, with spots showing consistent expression change across TBI or SAH specimens being followed up by Matrix-Assisted Laser Desorption/Ionization mass spectrometry (MALDI-MS). Polypeptide masses generated were matched to known standards using a search of the NCBI and/or GenPept databases for protein matches. Eight hundred fifteen separately identifiable polypeptide migration spots were identified on 2D GE gels. MALDI-MS successfully identified 13 of 22 selected 2D GE spots as recognizable polypeptides. RESULTS Statistically significant changes were noted in the expression of fibrinogen, carbonic anhydrase-I (CA-I), peroxiredoxin-2 (Prx-2), both α and β chains of hemoglobin, serotransferrin (Tf) and N-terminal haptoglobin (Hp) in TBI and SAH specimens, as compared to controls. The greatest mean fold change among all specimens was seen in CA-I and Hp at 30.7 and -25.7, respectively. TBI specimens trended toward greater mean increases in CA-I and Prx-2 and greater mean decreases in Hp and Tf. CONCLUSIONS Consistent CSF elevation of CA-I and Prx-2 with concurrent depletion of Hp and Tf may represent a useful combination of biomarkers for the prediction of severity and prognosis following brain injury.
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Affiliation(s)
- David E Connor
- Baptist Health Neurosurgery Arkansas, Little Rock, AR, United States.
| | - Ganta V Chaitanya
- Cardiovascular Research Center, University of Virginia, Charlottesville, VA, United States.
| | - Prashant Chittiboina
- Surgical Neurology Branch, National Institute of Neurological Diseases and Stroke, Bethesda, MD, United States.
| | - Paul McCarthy
- Department of Medicine, Sect. of Nephrology, University of Maryland, Baltimore, MD, United States.
| | - L Keith Scott
- Department of Critical Care Medicine, Louisiana State University Health Sciences Center-Shreveport, LA, United States.
| | - Lisa Schrott
- Department of Pharmacology, Toxicology and Neuroscience, Louisiana State University Health Sciences Center-Shreveport, LA, United States.
| | - Alireza Minagar
- Department of Neurology, Louisiana State University Health Sciences Center-Shreveport, LA, United States.
| | - Anil Nanda
- Department of Neurosurgery, Louisiana State University Health Sciences Center-Shreveport, LA, United States.
| | - J Steven Alexander
- Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, LA, United States.
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48
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Impact of aging immune system on neurodegeneration and potential immunotherapies. Prog Neurobiol 2017; 157:2-28. [PMID: 28782588 DOI: 10.1016/j.pneurobio.2017.07.006] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Revised: 07/25/2017] [Accepted: 07/28/2017] [Indexed: 12/19/2022]
Abstract
The interaction between the nervous and immune systems during aging is an area of avid interest, but many aspects remain unclear. This is due, not only to the complexity of the aging process, but also to a mutual dependency and reciprocal causation of alterations and diseases between both the nervous and immune systems. Aging of the brain drives whole body systemic aging, including aging-related changes of the immune system. In turn, the immune system aging, particularly immunosenescence and T cell aging initiated by thymic involution that are sources of chronic inflammation in the elderly (termed inflammaging), potentially induces brain aging and memory loss in a reciprocal manner. Therefore, immunotherapeutics including modulation of inflammation, vaccination, cellular immune therapies and "protective autoimmunity" provide promising approaches to rejuvenate neuroinflammatory disorders and repair brain injury. In this review, we summarize recent discoveries linking the aging immune system with the development of neurodegeneration. Additionally, we discuss potential rejuvenation strategies, focusing aimed at targeting the aging immune system in an effort to prevent acute brain injury and chronic neurodegeneration during aging.
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Llano DA, Bundela S, Mudar RA, Devanarayan V. A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progression. PLoS One 2017; 12:e0182098. [PMID: 28771542 PMCID: PMC5542644 DOI: 10.1371/journal.pone.0182098] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 07/12/2017] [Indexed: 11/19/2022] Open
Abstract
To determine if a multi-analyte cerebrospinal fluid (CSF) peptide signature can be used to differentiate Alzheimer’s Disease (AD) and normal aged controls (NL), and to determine if this signature can also predict progression from mild cognitive impairment (MCI) to AD, analysis of CSF samples was done on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset. The profiles of 320 peptides from baseline CSF samples of 287 subjects over a 3–6 year period were analyzed. As expected, the peptide most able to differentiate between AD vs. NL was found to be Apolipoprotein E. Other peptides, some of which are not classically associated with AD, such as heart fatty acid binding protein, and the neuronal pentraxin receptor, also differentiated disease states. A sixteen-analyte signature was identified which differentiated AD vs. NL with an area under the receiver operating characteristic curve of 0.89, which was better than any combination of amyloid beta (1–42), tau, and phospho-181 tau. This same signature, when applied to a new and independent data set, also strongly predicted both probability and rate of future progression of MCI subjects to AD, better than traditional markers. These data suggest that multivariate peptide signatures from CSF predict MCI to AD progression, and point to potentially new roles for certain proteins not typically associated with AD.
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Affiliation(s)
- Daniel A. Llano
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, United States of America
- * E-mail:
| | - Saurabh Bundela
- Exploratory Statistics, AbbVie, Inc., North Chicago, IL, United States of America
| | - Raksha A. Mudar
- Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, United States of America
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50
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Al Shweiki MHDR, Oeckl P, Steinacker P, Hengerer B, Schönfeldt-Lecuona C, Otto M. Major depressive disorder: insight into candidate cerebrospinal fluid protein biomarkers from proteomics studies. Expert Rev Proteomics 2017; 14:499-514. [DOI: 10.1080/14789450.2017.1336435] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
| | - Patrick Oeckl
- Department of Neurology, Ulm University, Ulm, Germany
| | | | - Bastian Hengerer
- CNS Diseases Research, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
| | | | - Markus Otto
- Department of Neurology, Ulm University, Ulm, Germany
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