1
|
Negro-Demontel L, Maleki AF, Reich DS, Kemper C. The complement system in neurodegenerative and inflammatory diseases of the central nervous system. Front Neurol 2024; 15:1396520. [PMID: 39022733 PMCID: PMC11252048 DOI: 10.3389/fneur.2024.1396520] [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: 03/05/2024] [Accepted: 06/17/2024] [Indexed: 07/20/2024] Open
Abstract
Neurodegenerative and neuroinflammatory diseases, including Alzheimer's disease, Parkinson's disease, and multiple sclerosis, affect millions of people globally. As aging is a major risk factor for neurodegenerative diseases, the continuous increase in the elderly population across Western societies is also associated with a rising prevalence of these debilitating conditions. The complement system, a crucial component of the innate immune response, has gained increasing attention for its multifaceted involvement in the normal development of the central nervous system (CNS) and the brain but also as a pathogenic driver in several neuroinflammatory disease states. Although complement is generally understood as a liver-derived and blood or interstitial fluid operative system protecting against bloodborne pathogens or threats, recent research, particularly on the role of complement in the healthy and diseased CNS, has demonstrated the importance of locally produced and activated complement components. Here, we provide a succinct overview over the known beneficial and pathological roles of complement in the CNS with focus on local sources of complement, including a discussion on the potential importance of the recently discovered intracellularly active complement system for CNS biology and on infection-triggered neurodegeneration.
Collapse
Affiliation(s)
- Luciana Negro-Demontel
- National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Complement and Inflammation Research Section (CIRS), Bethesda, MD, United States
- Department of Histology and Embryology, Faculty of Medicine, UDELAR, Montevideo, Uruguay
- Neuroinflammation and Gene Therapy Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay
| | - Adam F. Maleki
- National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Complement and Inflammation Research Section (CIRS), Bethesda, MD, United States
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke (NINDS), NIH, Bethesda, MD, United States
| | - Daniel S. Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke (NINDS), NIH, Bethesda, MD, United States
| | - Claudia Kemper
- National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Complement and Inflammation Research Section (CIRS), Bethesda, MD, United States
| |
Collapse
|
2
|
Vilardo B, De Marchi F, Raineri D, Manfredi M, De Giorgis V, Bebeti A, Scotti L, Kustrimovic N, Cappellano G, Mazzini L, Chiocchetti A. Shotgun Proteomics Links Proteoglycan-4 + Extracellular Vesicles to Cognitive Protection in Amyotrophic Lateral Sclerosis. Biomolecules 2024; 14:727. [PMID: 38927130 PMCID: PMC11202157 DOI: 10.3390/biom14060727] [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: 05/07/2024] [Revised: 06/12/2024] [Accepted: 06/18/2024] [Indexed: 06/28/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder lacking reliable biomarkers for early diagnosis and disease progression monitoring. This study aimed to identify the novel biomarkers in plasmatic extracellular vesicles (EVs) isolated from ALS patients and healthy controls (HCs). A total of 61 ALS patients and 30 age-matched HCs were enrolled in the study and the protein content of circulating EVs was analyzed by shotgun proteomics. The study was divided into a discovery phase (involving 12 ALS and 12 HC patients) and a validation one (involving 49 ALS and 20 HC patients). In the discovery phase, more than 300 proteins were identified, with 32 proteins showing differential regulation in ALS patients compared to HCs. In the validation phase, over 400 proteins were identified, with 20 demonstrating differential regulation in ALS patients compared to HCs. Notably, seven proteins were found to be common to both phases, all of which were significantly upregulated in EVs from ALS patients. Most of them have previously been linked to ALS since they have been detected in the serum or cerebrospinal fluid of ALS patients. Among them, proteoglycan (PRG)-4, also known as lubricin, was of particular interest since it was significantly increased in ALS patients with normal cognitive and motor functions. This study highlights the significance of EVs as a promising avenue for biomarker discovery in ALS. Moreover, it sheds light on the unexpected role of PRG-4 in relation to cognitive status in ALS patients.
Collapse
Affiliation(s)
- Beatrice Vilardo
- Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, 28100 Novara, Italy; (B.V.); (D.R.); (N.K.); (G.C.)
- Center for Translational Research on Autoimmune and Allergic Diseases, University of Eastern Piedmont, 28100 Novara, Italy; (M.M.); (V.D.G.)
| | - Fabiola De Marchi
- Department of Neurology and ALS Center, University Hospital “Maggiore della Carità”, 28100 Novara, Italy; (F.D.M.); (A.B.); (L.M.)
- Department of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy;
| | - Davide Raineri
- Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, 28100 Novara, Italy; (B.V.); (D.R.); (N.K.); (G.C.)
- Center for Translational Research on Autoimmune and Allergic Diseases, University of Eastern Piedmont, 28100 Novara, Italy; (M.M.); (V.D.G.)
| | - Marcello Manfredi
- Center for Translational Research on Autoimmune and Allergic Diseases, University of Eastern Piedmont, 28100 Novara, Italy; (M.M.); (V.D.G.)
- Department of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy;
| | - Veronica De Giorgis
- Center for Translational Research on Autoimmune and Allergic Diseases, University of Eastern Piedmont, 28100 Novara, Italy; (M.M.); (V.D.G.)
- Department of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy;
| | - Alen Bebeti
- Department of Neurology and ALS Center, University Hospital “Maggiore della Carità”, 28100 Novara, Italy; (F.D.M.); (A.B.); (L.M.)
| | - Lorenza Scotti
- Department of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy;
| | - Natasa Kustrimovic
- Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, 28100 Novara, Italy; (B.V.); (D.R.); (N.K.); (G.C.)
- Center for Translational Research on Autoimmune and Allergic Diseases, University of Eastern Piedmont, 28100 Novara, Italy; (M.M.); (V.D.G.)
| | - Giuseppe Cappellano
- Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, 28100 Novara, Italy; (B.V.); (D.R.); (N.K.); (G.C.)
- Center for Translational Research on Autoimmune and Allergic Diseases, University of Eastern Piedmont, 28100 Novara, Italy; (M.M.); (V.D.G.)
| | - Letizia Mazzini
- Department of Neurology and ALS Center, University Hospital “Maggiore della Carità”, 28100 Novara, Italy; (F.D.M.); (A.B.); (L.M.)
- Department of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy;
| | - Annalisa Chiocchetti
- Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, 28100 Novara, Italy; (B.V.); (D.R.); (N.K.); (G.C.)
- Center for Translational Research on Autoimmune and Allergic Diseases, University of Eastern Piedmont, 28100 Novara, Italy; (M.M.); (V.D.G.)
| |
Collapse
|
3
|
Stezin A, Sathe GJ, Gajbhiye A, Bharadwaj S, Ghose V, Bellad A, Malo PK, Holla V, Hegde S, Bharath RD, Saini J, Jain S, Yadav R, Pandey A, Pal PK. Dysregulated Cerebrospinal Fluid Proteome of Spinocerebellar Ataxia Type 2 and its Clinical Implications. Mov Disord 2024. [PMID: 38769639 DOI: 10.1002/mds.29834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/07/2024] [Accepted: 04/29/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Abnormalities in ataxin-2 associated with spinocerebellar ataxia type 2 (SCA2) may lead to widespread disruptions in the proteome. This study was performed to identify dysregulated proteome in SCA2 and to explore its clinical-radiological correlations. METHODS Cerebrospinal fluid (CSF) samples from 21 genetically confirmed SCA2 were subjected to shotgun proteome analysis using mass spectrometry (MS) and tandem mass tag (TMT)-based multiplexing. Proteins with at least 1.5-fold change in abundance were identified. Their relative abundance was measured using parallel reaction monitoring (PRM) and correlated against disease-related factors. RESULTS Eleven proteins were significantly upregulated in SCA2. They belonged to the family of cell adhesion molecules and granins. Their fold changes showed significant clinical, genetic, and radiological correlations. CONCLUSIONS Significant dysregulation of CSF proteome is seen in SCA2. The dysregulated protein may have potential use in clinical evaluation of patients with SCA2. © 2024 International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Albert Stezin
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
- Clinical Neurosciences, Centre for Brain Research (CBR), Indian Institute of Science (IISc), Bangalore, India
| | | | | | - Sujas Bharadwaj
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Vivek Ghose
- Institute of Bioinformatics (IOB), Bangalore, India
| | | | - Palash Kumar Malo
- Clinical Neurosciences, Centre for Brain Research (CBR), Indian Institute of Science (IISc), Bangalore, India
| | - Vikram Holla
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Shantala Hegde
- Department of Clinical Psychology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Rose Dawn Bharath
- Department of Neuroimaging and Interventional Neuroimaging, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Neuroimaging, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Sanjeev Jain
- Molecular Genetics Laboratory, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Ravi Yadav
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Akhilesh Pandey
- Institute of Bioinformatics (IOB), Bangalore, India
- Center for Individualized Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| |
Collapse
|
4
|
Frankhouser DE, Rockne RC, Uechi L, Zhao D, Branciamore S, O'Meally D, Irizarry J, Ghoda L, Ali H, Trent JM, Forman S, Fu YH, Kuo YH, Zhang B, Marcucci G. State-transition modeling of blood transcriptome predicts disease evolution and treatment response in chronic myeloid leukemia. Leukemia 2024; 38:769-780. [PMID: 38307941 PMCID: PMC10997512 DOI: 10.1038/s41375-024-02142-9] [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: 10/20/2023] [Revised: 12/22/2023] [Accepted: 01/05/2024] [Indexed: 02/04/2024]
Abstract
Chronic myeloid leukemia (CML) is initiated and maintained by BCR::ABL which is clinically targeted using tyrosine kinase inhibitors (TKIs). TKIs can induce long-term remission but are also not curative. Thus, CML is an ideal system to test our hypothesis that transcriptome-based state-transition models accurately predict cancer evolution and treatment response. We collected time-sequential blood samples from tetracycline-off (Tet-Off) BCR::ABL-inducible transgenic mice and wild-type controls. From the transcriptome, we constructed a CML state-space and a three-well leukemogenic potential landscape. The potential's stable critical points defined observable disease states. Early states were characterized by anti-CML genes opposing leukemia; late states were characterized by pro-CML genes. Genes with expression patterns shaped similarly to the potential landscape were identified as drivers of disease transition. Re-introduction of tetracycline to silence the BCR::ABL gene returned diseased mice transcriptomes to a near healthy state, without reaching it, suggesting parts of the transition are irreversible. TKI only reverted the transcriptome to an intermediate disease state, without approaching a state of health; disease relapse occurred soon after treatment. Using only the earliest time-point as initial conditions, our state-transition models accurately predicted both disease progression and treatment response, supporting this as a potentially valuable approach to time clinical intervention, before phenotypic changes become detectable.
Collapse
Affiliation(s)
- David E Frankhouser
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CAL, 91010, USA.
| | - Russell C Rockne
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CAL, 91010, USA.
| | - Lisa Uechi
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CAL, 91010, USA
| | - Dandan Zhao
- Department of Hematologic Malignancies Translational Science, Beckman Research Institute and Division of Leukemia, City of Hope National Medical Center, Duarte, CAL, 91010, USA
| | - Sergio Branciamore
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CAL, 91010, USA
| | - Denis O'Meally
- Department of Diabetes and & Cancer Discovery Science, Beckman Research Institute, City of Hope National Medical Center, Duarte, CAL, 91010, USA
| | - Jihyun Irizarry
- Department of Hematologic Malignancies Translational Science, Beckman Research Institute and Division of Leukemia, City of Hope National Medical Center, Duarte, CAL, 91010, USA
| | - Lucy Ghoda
- Department of Hematologic Malignancies Translational Science, Beckman Research Institute and Division of Leukemia, City of Hope National Medical Center, Duarte, CAL, 91010, USA
| | - Haris Ali
- Department of Hematologic Malignancies Translational Science, Beckman Research Institute and Division of Leukemia, City of Hope National Medical Center, Duarte, CAL, 91010, USA
| | | | - Stephen Forman
- Department of Hematologic Malignancies Translational Science, Beckman Research Institute and Division of Leukemia, City of Hope National Medical Center, Duarte, CAL, 91010, USA
| | - Yu-Hsuan Fu
- Department of Hematologic Malignancies Translational Science, Beckman Research Institute and Division of Leukemia, City of Hope National Medical Center, Duarte, CAL, 91010, USA
| | - Ya-Huei Kuo
- Department of Hematologic Malignancies Translational Science, Beckman Research Institute and Division of Leukemia, City of Hope National Medical Center, Duarte, CAL, 91010, USA
| | - Bin Zhang
- Department of Hematologic Malignancies Translational Science, Beckman Research Institute and Division of Leukemia, City of Hope National Medical Center, Duarte, CAL, 91010, USA.
| | - Guido Marcucci
- Department of Hematologic Malignancies Translational Science, Beckman Research Institute and Division of Leukemia, City of Hope National Medical Center, Duarte, CAL, 91010, USA.
| |
Collapse
|
5
|
Tzeplaeff L, Jürs AV, Wohnrade C, Demleitner AF. Unraveling the Heterogeneity of ALS-A Call to Redefine Patient Stratification for Better Outcomes in Clinical Trials. Cells 2024; 13:452. [PMID: 38474416 PMCID: PMC10930688 DOI: 10.3390/cells13050452] [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: 01/31/2024] [Revised: 02/26/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024] Open
Abstract
Despite tremendous efforts in basic research and a growing number of clinical trials aiming to find effective treatments, amyotrophic lateral sclerosis (ALS) remains an incurable disease. One possible reason for the lack of effective causative treatment options is that ALS may not be a single disease entity but rather may represent a clinical syndrome, with diverse genetic and molecular causes, histopathological alterations, and subsequent clinical presentations contributing to its complexity and variability among individuals. Defining a way to subcluster ALS patients is becoming a central endeavor in the field. Identifying specific clusters and applying them in clinical trials could enable the development of more effective treatments. This review aims to summarize the available data on heterogeneity in ALS with regard to various aspects, e.g., clinical, genetic, and molecular.
Collapse
Affiliation(s)
- Laura Tzeplaeff
- Department of Neurology, Rechts der Isar Hospital, Technical University of Munich, 81675 München, Germany
| | - Alexandra V. Jürs
- Translational Neurodegeneration Section “Albrecht Kossel”, Department of Neurology, University Medical Center Rostock, 18057 Rostock, Germany
| | - Camilla Wohnrade
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany;
| | - Antonia F. Demleitner
- Department of Neurology, Rechts der Isar Hospital, Technical University of Munich, 81675 München, Germany
| |
Collapse
|
6
|
Yang X, Hayes LR. Order from chaos: Using CSF proteomics to predict ALS progression. Ann Clin Transl Neurol 2023; 10:2176-2178. [PMID: 37753578 PMCID: PMC10723233 DOI: 10.1002/acn3.51910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 09/14/2023] [Indexed: 09/28/2023] Open
Affiliation(s)
- Xiuli Yang
- Department of NeurologyBrain Science Institute, Johns Hopkins UniversityBaltimoreMaryland21205USA
| | - Lindsey R. Hayes
- Department of NeurologyBrain Science Institute, Johns Hopkins UniversityBaltimoreMaryland21205USA
| |
Collapse
|