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Zhang H, Cao D, Xu T, Chen E, Li G, Chen Y, Payne P, Province M, Li F. mosGraphFlow: a novel integrative graph AI model mining disease targets from multi-omic data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.01.606219. [PMID: 39282361 PMCID: PMC11398418 DOI: 10.1101/2024.08.01.606219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 09/22/2024]
Abstract
Multi-omic data can better characterize complex cellular signaling pathways from multiple views compared to individual omic data. However, integrative multi-omic data analysis to rank key disease biomarkers and infer core signaling pathways remains an open problem. In this study, our novel contributions are that we developed a novel graph AI model, mosGraphFlow, for analyzing multi-omic signaling graphs (mosGraphs), 2) analyzed multi-omic mosGraph datasets of AD, and 3) identified, visualized and evaluated a set of AD associated signaling biomarkers and network. The comparison results show that the proposed model not only achieves the best classification accuracy but also identifies important AD disease biomarkers and signaling interactions. Moreover, the signaling sources are highlighted at specific omic levels to facilitate the understanding of the pathogenesis of AD. The proposed model can also be applied and expanded for other studies using multi-omic data. Model code is accessible via GitHub: https://github.com/FuhaiLiAiLab/mosGraphFlow.
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Affiliation(s)
- Heming Zhang
- Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Dekang Cao
- Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
- Department of Computer Science and Engineering, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Tim Xu
- Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
- Department of Computer Science and Engineering, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Emily Chen
- Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
- School of Arts and Sciences, University of Rochester, Rochester, NY, 14627, USA
| | - Guangfu Li
- Department of Surgery, School of Medicine, University of Connecticut, CT, 06032, USA
| | - Yixin Chen
- Department of Computer Science and Engineering, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Philip Payne
- Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Michael Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Fuhai Li
- Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
- Department of Pediatrics, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
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Zhang L, Zhang N, Su M, Wang L, Liu S, Fu Q, Su Q. Concentration of IL-1β, IL-7, IL-12, IL-17, CX3CL1, ITAC and relation with the seizure severity and sudden unexpected death in epilepsy patient. Seizure 2024; 121:70-77. [PMID: 39096615 DOI: 10.1016/j.seizure.2024.07.014] [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: 02/07/2024] [Revised: 07/15/2024] [Accepted: 07/17/2024] [Indexed: 08/05/2024] Open
Abstract
OBJECTIVE Inflammation plays an important role in epilepsy. There is evidence for the relationship between proinflammatory cytokines and epilepsy. We aimed to detect the serum levels of multiple cytokines in epilepsy patients, looking for biological indicators, and providing a theoretical basis for the clinical diagnosis, treatment, and prognosis of epilepsy. MATERIALS AND METHODS In this study, 30 patients with drug-resistant epilepsy (DRE), 30 patients with well-controlled epilepsy (WCE), and 29 healthy controls (HC) were enrolled. Multi-proinflammatory cytokines were measured by LUMINX multi-factor detection. RESULTS The levels of IL-1β, IL-7, IL-12, and IL-17 were significantly elevated, and the levels of CX3CL1 and ITAC were significantly decreased in epilepsy patients compared with healthy controls. Furthermore, the level of IL-17 was significantly higher in the DRE group compared to WCE. We also found the ratio of IL-7/CX3CL discriminates accurately between patients and controls, with a ROC Area Under the Curve (AUC) of 0.963 (P<0.001). The levels of IL-1β, IL-7, IL-12, and IL-17 in the DRE group were positively correlated with the National Hospital Seizure Severity Scale (NHS3) scores (IL-1β, P = 0.029; IL-12, P = 0.039; IL-17, P = 0.004). IL-17 was positively correlated with seizure frequency (P = 0.050), while ITAC was negatively correlated with seizure frequency (P = 0.012) and Sudden Unexpected Death in Epilepsy-3 (SUDEP-3) scores (P = 0.023). CONCLUSIONS IL-1β, IL-12, and IL-17 may be used to predict seizure severity and the IL-7/CX3CL1 ratio may be a candidate biomarker for predicting epileptic seizures. While CX3CL1 and ITAC play anti-epileptic effects, ITAC may be used to assess the risk of SUDEP.
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Affiliation(s)
- Li Zhang
- Graduate School of Jinzhou Medical University, Jinzhou, Liaoning Province, PR China; Central Laboratory, Linyi People's Hospital, Linyi, Shandong Province, PR China
| | - Ning Zhang
- Department of Anesthesia, Linyi People's Hospital, Linyi, Shandong Province, PR China
| | - Mingzhao Su
- Central Laboratory, Linyi People's Hospital, Linyi, Shandong Province, PR China; Key Laboratory of Neurophysiology, Health Commission of Shandong Province, Linyi, Shandong Province, PR China; Linyi Key Laboratory of Tumor Biology, Linyi, Shandong Province, PR China; Key Laboratory for Translational Oncology, Xuzhou Medical University, Xuzhou, Jiangsu Province, PR China
| | - Lifen Wang
- Central Laboratory, Linyi People's Hospital, Linyi, Shandong Province, PR China
| | - Shu Liu
- Central Laboratory, Linyi People's Hospital, Linyi, Shandong Province, PR China
| | - Qingxi Fu
- Department of Epilepsy and Sleep, Linyi People's Hospital, Linyi, Shandong Province, PR China.
| | - Quanping Su
- Central Laboratory, Linyi People's Hospital, Linyi, Shandong Province, PR China; Key Laboratory of Neurophysiology, Health Commission of Shandong Province, Linyi, Shandong Province, PR China; Linyi Key Laboratory of Tumor Biology, Linyi, Shandong Province, PR China; Key Laboratory for Translational Oncology, Xuzhou Medical University, Xuzhou, Jiangsu Province, PR China.
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Bivona G, Sammataro S, Ghersi G. Nucleic Acids-Based Biomarkers for Alzheimer's Disease Diagnosis and Novel Molecules to Treat the Disease. Int J Mol Sci 2024; 25:7893. [PMID: 39063135 PMCID: PMC11277093 DOI: 10.3390/ijms25147893] [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: 07/02/2024] [Revised: 07/16/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024] Open
Abstract
Alzheimer's disease (AD) represents the most common form of dementia and affects million people worldwide, with a high social burden and considerable economic costs. AD diagnosis benefits from a well-established panel of laboratory tests that allow ruling-in patients, along with FDG and amyloid PET imaging tools. The main laboratory tests used to identify AD patients are Aβ40, Aβ42, the Aβ42/Aβ40 ratio, phosphorylated Tau 181 (pTau181) and total Tau (tTau). Although they are measured preferentially in the cerebrospinal fluid (CSF), some evidence about the possibility for blood-based determination to enter clinical practice is growing up. Unfortunately, CSF biomarkers for AD and, even more, the blood-based ones, present a few flaws, and twenty years of research in this field did not overcome these pitfalls. The tale even worsens when the issue of treating AD is addressed due to the lack of effective strategies despite the many decades of attempts by pharmaceutic industries and scientists. Amyloid-based drugs failed to stop the disease, and no neuroinflammation-based drugs have been demonstrated to work so far. Hence, only symptomatic therapy is available, with no disease-modifying treatment on hand. Such a desolate situation fully justifies the active search for novel biomarkers to be used as reliable tests for AD diagnosis and molecular targets for treating patients. Recently, a novel group of molecules has been identified to be used for AD diagnosis and follow-up, the nuclei acid-based biomarkers. Nucleic acid-based biomarkers are a composite group of extracellular molecules consisting of DNA and RNA alone or in combination with other molecules, including proteins. This review article reports the main findings from the studies carried out on these biomarkers during AD, and highlights their advantages and limitations.
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Affiliation(s)
- Giulia Bivona
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy
| | - Selene Sammataro
- Department of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, 90127 Palermo, Italy;
| | - Giulio Ghersi
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, 90128 Palermo, Italy;
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Szukiewicz D. CX3CL1 (Fractalkine)-CX3CR1 Axis in Inflammation-Induced Angiogenesis and Tumorigenesis. Int J Mol Sci 2024; 25:4679. [PMID: 38731899 PMCID: PMC11083509 DOI: 10.3390/ijms25094679] [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: 03/28/2024] [Revised: 04/19/2024] [Accepted: 04/24/2024] [Indexed: 05/13/2024] Open
Abstract
The chemotactic cytokine fractalkine (FKN, chemokine CX3CL1) has unique properties resulting from the combination of chemoattractants and adhesion molecules. The soluble form (sFKN) has chemotactic properties and strongly attracts T cells and monocytes. The membrane-bound form (mFKN) facilitates diapedesis and is responsible for cell-to-cell adhesion, especially by promoting the strong adhesion of leukocytes (monocytes) to activated endothelial cells with the subsequent formation of an extracellular matrix and angiogenesis. FKN signaling occurs via CX3CR1, which is the only known member of the CX3C chemokine receptor subfamily. Signaling within the FKN-CX3CR1 axis plays an important role in many processes related to inflammation and the immune response, which often occur simultaneously and overlap. FKN is strongly upregulated by hypoxia and/or inflammation-induced inflammatory cytokine release, and it may act locally as a key angiogenic factor in the highly hypoxic tumor microenvironment. The importance of the FKN/CX3CR1 signaling pathway in tumorigenesis and cancer metastasis results from its influence on cell adhesion, apoptosis, and cell migration. This review presents the role of the FKN signaling pathway in the context of angiogenesis in inflammation and cancer. The mechanisms determining the pro- or anti-tumor effects are presented, which are the cause of the seemingly contradictory results that create confusion regarding the therapeutic goals.
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Affiliation(s)
- Dariusz Szukiewicz
- Department of Biophysics, Physiology & Pathophysiology, Faculty of Health Sciences, Medical University of Warsaw, 02-004 Warsaw, Poland
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Pei J, Zou Y, Wan C, Liu S, Hu B, Li Z, Tang Z. CX3CR1 mediates motor dysfunction in mice through 5-HTR2a. Behav Brain Res 2024; 461:114837. [PMID: 38145872 DOI: 10.1016/j.bbr.2023.114837] [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: 07/31/2023] [Revised: 12/16/2023] [Accepted: 12/22/2023] [Indexed: 12/27/2023]
Abstract
CX3CR1 knockout could induce motor dysfunction in several neurological disease models mainly through regulating microglia's function. While CX3CR1 was expressed on neurons in a few reports, whether neuronal CX3CR1 could affect the function of neurons and mediate motor dysfunction under physiological conditions is unknown. To elucidate the roles of neuronal CX3CR1 on motor dysfunction, CX3CR1 knockout mice were created. Rotarod test and Open field test found that the CX3CR1-/- mice's motor capacity was reduced. Immunofluorescence staining detected the expression of CX3CR1 in neurons both in vivo and in vitro. Immunohistochemistry and West blot found that knockout of CX3CR1 did not affect the neurons' number in both spinal cord and brain of mice. While inhibiting the function of CX3CR1 by AZD8797 could decrease the expression of 5-Hydroxytryptamine receptor(5-HTR2a), which involved in the regulation of motor function. Further investigation revealed that CX3CR1 regulated the expression of HTR2a through the NF-κB pathway. For the first time, we reported that neuronal CXCR1 mediates motor dysfunction. Our results suggest that modulating CXCR1 activity offers a novel therapeutic strategy for motor dysfunction.
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Affiliation(s)
- Jingchun Pei
- Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yongwei Zou
- Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Cheng Wan
- Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China; Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Shuangshuang Liu
- Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Bin Hu
- Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zhigao Li
- Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zhiwei Tang
- Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
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Alarcón‐Sánchez MA, Becerra‐Ruiz JS, Guerrero‐Velázquez C, Mosaddad SA, Heboyan A. The role of the CX3CL1/CX3CR1 axis as potential inflammatory biomarkers in subjects with periodontitis and rheumatoid arthritis: A systematic review. Immun Inflamm Dis 2024; 12:e1181. [PMID: 38415821 PMCID: PMC10845211 DOI: 10.1002/iid3.1181] [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: 11/02/2023] [Revised: 01/11/2024] [Accepted: 01/23/2024] [Indexed: 02/29/2024] Open
Abstract
OBJECTIVE This systematic review aimed to investigate the role of the C-X3-C motif ligand 1/chemokine receptor 1 C-X3-C motif (CX3CL1/CX3CR1) axis in the pathogenesis of periodontitis. Furthermore, as a secondary objective, we determine whether the CX3CL1/CX3CR1 axis could be considered complementary to clinical parameters to distinguish between periodontitis and rheumatoid arthritis (RA) and/or systemically healthy subjects. METHODS The protocol used for this review was registered in OSF (10.17605/OSF.IO/KU8FJ). This study was designed following Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Records were identified using different search engines (PubMed/MEDLINE, Scopus, Science Direct, and Web of Science) from August 10, 2006, to September 15, 2023. The observational studies on human subjects diagnosed with periodontitis and RA and/or systemically healthy were selected to analyze CX3CL1 and CX3CR1 biomarkers. The methodological validity of the selected articles was assessed using NIH. RESULTS Six articles were included. Biological samples (gingival crevicular fluid [GCF], saliva, gingival tissue biopsies, serum) from 379 subjects (n = 275 exposure group and n = 104 control group) were analyzed. Higher CX3CL1 and CX3CR1 chemokine levels were found in subjects with periodontitis and RA compared with periodontal and systemically healthy subjects. CONCLUSION Very few studies highlight the role of the CX3CL1/CX3CR1 axis in the pathogenesis of periodontitis; however, increased levels of these chemokines are observed in different biological samples (GCF, gingival tissue, saliva, and serum) from subjects with periodontitis and RA compared with their healthy controls. Future studies should focus on long-term follow-up of subjects and monitoring changes in cytokine levels before and after periodontal therapy to deduce an appropriate interval in health and disease conditions.
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Affiliation(s)
- Mario A. Alarcón‐Sánchez
- Biomedical Science, Faculty of Chemical‐Biological SciencesAutonomous University of GuerreroGuerreroMexico
| | - Julieta S. Becerra‐Ruiz
- Institute of Research of Bioscience, University Center of Los AltosUniversity of GuadalajaraGuadalajaraMexico
| | - Celia Guerrero‐Velázquez
- Research Center in Molecular Biology of Chronic Diseases, Southern University CenterUniversity of GuadalajaraGuadalajaraMexico
| | - Seyed A. Mosaddad
- Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical SciencesSaveetha UniversityChennaiIndia
- Student Research Committee, School of DentistryShiraz University of Medical SciencesShirazIran
| | - Artak Heboyan
- Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical SciencesSaveetha UniversityChennaiIndia
- Department of Prosthodontics, Faculty of StomatologyYerevan State Medical University after Mkhitar HeratsiYerevanArmenia
- Department of ProsthodonticsTehran University of Medical SciencesTehranIran
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Nordengen K, Kirsebom BE, Richter G, Pålhaugen L, Gísladóttir B, Siafarikas N, Nakling A, Rongve A, Bråthen G, Grøntvedt GR, Gonzalez F, Waterloo K, Sharma K, Karikari T, Vromen EM, Tijms BM, Visser PJ, Selnes P, Kramberger MG, Winblad B, Blennow K, Fladby T. Longitudinal cerebrospinal fluid measurements show glial hypo- and hyperactivation in predementia Alzheimer's disease. J Neuroinflammation 2023; 20:298. [PMID: 38093257 PMCID: PMC10720118 DOI: 10.1186/s12974-023-02973-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 11/28/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Brain innate immune activation is associated with Alzheimer's disease (AD), but degrees of activation may vary between disease stages. Thus, brain innate immune activation must be assessed in longitudinal clinical studies that include biomarker negative healthy controls and cases with established AD pathology. Here, we employ longitudinally sampled cerebrospinal fluid (CSF) core AD, immune activation and glial biomarkers to investigate early (predementia stage) innate immune activation levels and biomarker profiles. METHODS We included non-demented cases from a longitudinal observational cohort study, with CSF samples available at baseline (n = 535) and follow-up (n = 213), between 1 and 6 years from baseline (mean 2.8 years). We measured Aβ42/40 ratio, p-tau181, and total-tau to determine Ab (A+), tau-tangle pathology (T+), and neurodegeneration (N+), respectively. We classified individuals into these groups: A-/T-/N-, A+/T-/N-, A+/T+ or N+, or A-/T+ or N+. Using linear and mixed linear regression, we compared levels of CSF sTREM2, YKL-40, clusterin, fractalkine, MCP-1, IL-6, IL-1, IL-18, and IFN-γ both cross-sectionally and longitudinally between groups. A post hoc analysis was also performed to assess biomarker differences between cognitively healthy and impaired individuals in the A+/T+ or N+ group. RESULTS Cross-sectionally, CSF sTREM2, YKL-40, clusterin and fractalkine were higher only in groups with tau pathology, independent of amyloidosis (p < 0.001, A+/T+ or N+ and A-/T+ or N+, compared to A-/T-/N-). No significant group differences were observed for the cytokines CSF MCP-1, IL-6, IL-10, IL18 or IFN-γ. Longitudinally, CSF YKL-40, fractalkine and IFN-γ were all significantly lower in stable A+/T-/N- cases (all p < 0.05). CSF sTREM2, YKL-40, clusterin, fractalkine (p < 0.001) and MCP-1 (p < 0.05) were all higher in T or N+, with or without amyloidosis at baseline, but remained stable over time. High CSF sTREM2 was associated with preserved cognitive function within the A+/T+ or N+ group, relative to the cognitively impaired with the same A/T/N biomarker profile (p < 0.01). CONCLUSIONS Immune hypoactivation and reduced neuron-microglia communication are observed in isolated amyloidosis while activation and increased fractalkine accompanies tau pathology in predementia AD. Glial hypo- and hyperactivation through the predementia AD continuum suggests altered glial interaction with Ab and tau pathology, and may necessitate differential treatments, depending on the stage and patient-specific activation patterns.
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Affiliation(s)
- Kaja Nordengen
- Department of Neurology, Akershus University Hospital, P.B. 1000, 1478, Lørenskog, Norway.
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Bjørn-Eivind Kirsebom
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
- Department of Psychology, Faculty Health Sciences, UiT, The Arctic University of Norway, Tromsø, Norway
| | - Grit Richter
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Lene Pålhaugen
- Department of Neurology, Akershus University Hospital, P.B. 1000, 1478, Lørenskog, Norway
| | - Berglind Gísladóttir
- Department of Neurology, Akershus University Hospital, P.B. 1000, 1478, Lørenskog, Norway
- Clinical Molecular Biology (EpiGen), Medical Division, Akershus University Hospital and University of Oslo, Oslo, Norway
| | - Nikias Siafarikas
- Department of Old Age Psychiatry, Akershus University Hospital, Lørenskog, Norway
| | - Arne Nakling
- Institute of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Arvid Rongve
- Department of Research and Innovation, Haugesund Hospital, Helse Fonna, Haugesund, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Geir Bråthen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
| | - Gøril Rolfseng Grøntvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
| | - Fernando Gonzalez
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Knut Waterloo
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
- Department of Psychology, Faculty Health Sciences, UiT, The Arctic University of Norway, Tromsø, Norway
| | - Kulbhushan Sharma
- Department of Neurology, Akershus University Hospital, P.B. 1000, 1478, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Thomas Karikari
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburg, PA, USA
| | - Eleonora M Vromen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location Vumc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location Vumc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Pieter J Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location Vumc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Psychiatry, Maastricht University, Maastricht, the Netherlands
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, P.B. 1000, 1478, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Milicia G Kramberger
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
- Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Bengt Winblad
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, P.B. 1000, 1478, Lørenskog, Norway.
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
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Bivona G, Iemmolo M, Ghersi G. Cerebrospinal and Blood Biomarkers in Alzheimer's Disease: Did Mild Cognitive Impairment Definition Affect Their Clinical Usefulness? Int J Mol Sci 2023; 24:16908. [PMID: 38069230 PMCID: PMC10706963 DOI: 10.3390/ijms242316908] [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: 11/06/2023] [Revised: 11/26/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
Despite Alzheimer's Disease (AD) being known from the times of Alois Alzheimer, who lived more than one century ago, many aspects of the disease are still obscure, including the pathogenesis, the clinical spectrum definition, and the therapeutic approach. Well-established biomarkers for AD come from the histopathological hallmarks of the disease, which are Aβ and phosphorylated Tau protein aggregates. Consistently, cerebrospinal fluid (CSF) Amyloid β (Aβ) and phosphorylated Tau level measurements are currently used to detect AD presence. However, two central biases affect these biomarkers. Firstly, incomplete knowledge of the pathogenesis of diseases legitimates the search for novel molecules that, reasonably, could be expressed by neurons and microglia and could be detected in blood simpler and earlier than the classical markers and in a higher amount. Further, studies have been performed to evaluate whether CSF biomarkers can predict AD onset in Mild Cognitive Impairment (MCI) patients. However, the MCI definition has changed over time. Hence, the studies on MCI patients seem to be biased at the beginning due to the imprecise enrollment and heterogeneous composition of the miscellaneous MCI subgroup. Plasma biomarkers and novel candidate molecules, such as microglia biomarkers, have been tentatively investigated and could represent valuable targets for diagnosing and monitoring AD. Also, novel AD markers are urgently needed to identify molecular targets for treatment strategies. This review article summarizes the main CSF and blood AD biomarkers, underpins their advantages and flaws, and mentions novel molecules that can be used as potential biomarkers for AD.
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Affiliation(s)
- Giulia Bivona
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy
| | - Matilda Iemmolo
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, 90128 Palermo, Italy
| | - Giulio Ghersi
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, 90128 Palermo, Italy
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