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Mohammadi H, Ariaei A, Ghobadi Z, Gorgich EAC, Rustamzadeh A. Which neuroimaging and fluid biomarkers method is better in theranostic of Alzheimer's disease? An umbrella review. IBRO Neurosci Rep 2024; 16:403-417. [PMID: 38497046 PMCID: PMC10940808 DOI: 10.1016/j.ibneur.2024.02.007] [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: 12/11/2023] [Accepted: 02/24/2024] [Indexed: 03/19/2024] Open
Abstract
Biomarkers are measured to evaluate physiological and pathological processes as well as responses to a therapeutic intervention. Biomarkers can be classified as diagnostic, prognostic, predictor, clinical, and therapeutic. In Alzheimer's disease (AD), multiple biomarkers have been reported so far. Nevertheless, finding a specific biomarker in AD remains a major challenge. Three databases, including PubMed, Web of Science, and Scopus were selected with the keywords of Alzheimer's disease, neuroimaging, biomarker, and blood. The results were finalized with 49 potential CSF/blood and 35 neuroimaging biomarkers. To distinguish normal from AD patients, amyloid-beta42 (Aβ42), plasma glial fibrillary acidic protein (GFAP), and neurofilament light (NFL) as potential biomarkers in cerebrospinal fluid (CSF) as well as the serum could be detected. Nevertheless, most of the biomarkers fairly change in the CSF during AD, listed as kallikrein 6, virus-like particles (VLP-1), galectin-3 (Gal-3), and synaptotagmin-1 (Syt-1). From the neuroimaging aspect, atrophy is an accepted biomarker for the neuropathologic progression of AD. In addition, Magnetic resonance spectroscopy (MRS), diffusion weighted imaging (DWI), diffusion tensor imaging (DTI), tractography (DTT), positron emission tomography (PET), and functional magnetic resonance imaging (fMRI), can be used to detect AD. Using neuroimaging and CSF/blood biomarkers, in combination with artificial intelligence, it is possible to obtain information on prognosis and follow-up on the different stages of AD. Hence physicians could select the suitable therapy to attenuate disease symptoms and follow up on the efficiency of the prescribed drug.
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Affiliation(s)
- Hossein Mohammadi
- Department of Bioimaging, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences (MUI), Isfahan, Islamic Republic of Iran
| | - Armin Ariaei
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Zahra Ghobadi
- Advanced Medical Imaging Ward, Pars Darman Medical Imaging Center, Karaj, Islamic Republic of Iran
| | - Enam Alhagh Charkhat Gorgich
- Department of Anatomy, School of Medicine, Iranshahr University of Medical Sciences, Iranshahr, Islamic Republic of Iran
| | - Auob Rustamzadeh
- Cellular and Molecular Research Center, Research Institute for Non-communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
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Ali NH, Al‐Kuraishy HM, Al‐Gareeb AI, Alnaaim SA, Alexiou A, Papadakis M, Khalifa AA, Saad HM, Batiha GE. Neprilysin inhibitors and risk of Alzheimer's disease: A future perspective. J Cell Mol Med 2024; 28:e17993. [PMID: 37847125 PMCID: PMC10826440 DOI: 10.1111/jcmm.17993] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 09/15/2023] [Accepted: 10/05/2023] [Indexed: 10/18/2023] Open
Abstract
Alzheimer's disease (AD) is a heterogeneous neurodegenerative disease with multifaceted neuropathological disorders. AD is characterized by intracellular accumulation of phosphorylated tau proteins and extracellular deposition of amyloid beta (Aβ). Various protease enzymes, including neprilysin (NEP), are concerned with the degradation and clearance of Aβ. Indeed, a defective neuronal clearance pathway due to the dysfunction of degradation enzymes might be a possible mechanism for the accumulation of Aβ and subsequent progression of AD neuropathology. NEP is one of the most imperative metalloproteinase enzymes involved in the clearance of Aβ. This review aimed to highlight the possible role of NEP inhibitors in AD. The combination of sacubitril and valsartan which is called angiotensin receptor blocker and NEP inhibitor (ARNI) may produce beneficial and deleterious effects on AD neuropathology. NEP inhibitors might increase the risk of AD by the inhibition of Aβ clearance, and increase brain bradykinin (BK) and natriuretic peptides (NPs), which augment the pathogenesis of AD. These verdicts come from animal model studies, though they may not be applied to humans. However, clinical studies revealed promising safety findings regarding the use of ARNI. Moreover, NEP inhibition increases various neuroprotective peptides involved in inflammation, glucose homeostasis and nerve conduction. Also, NEP inhibitors may inhibit dipeptidyl peptidase 4 (DPP4) expression, ameliorating insulin and glucagon-like peptide 1 (GLP-1) levels. These findings proposed that NEP inhibitors may have a protective effect against AD development by increasing GLP-1, neuropeptide Y (NPY) and substance P, and deleterious effects by increasing brain BK. Preclinical and clinical studies are recommended in this regard.
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Affiliation(s)
- Naif H. Ali
- Department of Internal Medicine, Medical CollegeNajran UniversityNajranSaudi Arabia
| | - Hayder M. Al‐Kuraishy
- Department of Clinical Pharmacology and Medicine, College of MedicineMustansiriyah UniversityBaghdadIraq
| | - Ali I. Al‐Gareeb
- Department of Clinical Pharmacology and Medicine, College of MedicineMustansiriyah UniversityBaghdadIraq
| | - Saud A. Alnaaim
- Clinical Neurosciences Department, College of MedicineKing Faisal UniversityHofufSaudi Arabia
| | - Athanasios Alexiou
- Department of Science and EngineeringNovel Global Community Educational FoundationHebershamNew South WalesAustralia
- AFNP MedWienAustria
| | - Marios Papadakis
- Department of Surgery IIUniversity Hospital Witten‐Herdecke, University of Witten‐HerdeckeWuppertalGermany
| | - Asmaa A. Khalifa
- Department of Pharmacology and Therapeutics, Faculty of PharmacyPharos University in AlexandriaAlexandriaEgypt
| | - Hebatallah M. Saad
- Department of Pathology, Faculty of Veterinary MedicineMatrouh UniversityMatrouhEgypt
| | - Gaber El‐Saber Batiha
- Department of Pharmacology and Therapeutics, Faculty of Veterinary MedicineDamanhour UniversityDamanhourAlBeheiraEgypt
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Panyard DJ, McKetney J, Deming YK, Morrow AR, Ennis GE, Jonaitis EM, Van Hulle CA, Yang C, Sung YJ, Ali M, Kollmorgen G, Suridjan I, Bayfield A, Bendlin BB, Zetterberg H, Blennow K, Cruchaga C, Carlsson CM, Johnson SC, Asthana S, Coon JJ, Engelman CD. Large-scale proteome and metabolome analysis of CSF implicates altered glucose and carbon metabolism and succinylcarnitine in Alzheimer's disease. Alzheimers Dement 2023; 19:5447-5470. [PMID: 37218097 PMCID: PMC10663389 DOI: 10.1002/alz.13130] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 02/23/2023] [Accepted: 04/04/2023] [Indexed: 05/24/2023]
Abstract
INTRODUCTION A hallmark of Alzheimer's disease (AD) is the aggregation of proteins (amyloid beta [A] and hyperphosphorylated tau [T]) in the brain, making cerebrospinal fluid (CSF) proteins of particular interest. METHODS We conducted a CSF proteome-wide analysis among participants of varying AT pathology (n = 137 participants; 915 proteins) with nine CSF biomarkers of neurodegeneration and neuroinflammation. RESULTS We identified 61 proteins significantly associated with the AT category (P < 5.46 × 10-5 ) and 636 significant protein-biomarker associations (P < 6.07 × 10-6 ). Proteins from glucose and carbon metabolism pathways were enriched among amyloid- and tau-associated proteins, including malate dehydrogenase and aldolase A, whose associations with tau were replicated in an independent cohort (n = 717). CSF metabolomics identified and replicated an association of succinylcarnitine with phosphorylated tau and other biomarkers. DISCUSSION These results implicate glucose and carbon metabolic dysregulation and increased CSF succinylcarnitine levels with amyloid and tau pathology in AD. HIGHLIGHTS Cerebrospinal fluid (CSF) proteome enriched for extracellular, neuronal, immune, and protein processing. Glucose/carbon metabolic pathways enriched among amyloid/tau-associated proteins. Key glucose/carbon metabolism protein associations independently replicated. CSF proteome outperformed other omics data in predicting amyloid/tau positivity. CSF metabolomics identified and replicated a succinylcarnitine-phosphorylated tau association.
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Affiliation(s)
- Daniel J. Panyard
- Department of Population Health Sciences, University of Wisconsin-Madison; 610 Walnut Street, 707 WARF Building, Madison, WI 53726, United States of America
| | - Justin McKetney
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison; Madison, WI 53706, United States of America
- Department of Biomolecular Chemistry, University of Wisconsin-Madison; Madison, WI 53506, United States of America
| | - Yuetiva K. Deming
- Department of Population Health Sciences, University of Wisconsin-Madison; 610 Walnut Street, 707 WARF Building, Madison, WI 53726, United States of America
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
| | - Autumn R. Morrow
- Department of Population Health Sciences, University of Wisconsin-Madison; 610 Walnut Street, 707 WARF Building, Madison, WI 53726, United States of America
| | - Gilda E. Ennis
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
| | - Erin M. Jonaitis
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison; 610 Walnut Street, 9 Floor, Madison, WI 53726, United States of America
| | - Carol A. Van Hulle
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
| | - Chengran Yang
- Department of Psychiatry, Washington University School of Medicine; St Louis, MO 63110, United States of America
- NeuroGenomics and Informatics Center, Washington University School of Medicine; St Louis, MO 63110, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine; St Louis, MO 63110, United States of America
| | - Yun Ju Sung
- Department of Psychiatry, Washington University School of Medicine; St Louis, MO 63110, United States of America
- NeuroGenomics and Informatics Center, Washington University School of Medicine; St Louis, MO 63110, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine; St Louis, MO 63110, United States of America
| | - Muhammad Ali
- Department of Psychiatry, Washington University School of Medicine; St Louis, MO 63110, United States of America
- NeuroGenomics and Informatics Center, Washington University School of Medicine; St Louis, MO 63110, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine; St Louis, MO 63110, United States of America
| | | | | | | | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison; 610 Walnut Street, 9 Floor, Madison, WI 53726, United States of America
- William S. Middleton Memorial Veterans Hospital; 2500 Overlook Terrace, Madison, WI 53705, United States of America
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg; Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital; Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology; London, UK
- UK Dementia Research Institute at UCL; London, UK
- Hong Kong Center for Neurodegenerative Diseases; Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg; Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital; Mölndal, Sweden
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine; St Louis, MO 63110, United States of America
- NeuroGenomics and Informatics Center, Washington University School of Medicine; St Louis, MO 63110, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine; St Louis, MO 63110, United States of America
| | - Cynthia M. Carlsson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison; 610 Walnut Street, 9 Floor, Madison, WI 53726, United States of America
- William S. Middleton Memorial Veterans Hospital; 2500 Overlook Terrace, Madison, WI 53705, United States of America
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison; 610 Walnut Street, 9 Floor, Madison, WI 53726, United States of America
- William S. Middleton Memorial Veterans Hospital; 2500 Overlook Terrace, Madison, WI 53705, United States of America
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
- William S. Middleton Memorial Veterans Hospital; 2500 Overlook Terrace, Madison, WI 53705, United States of America
| | - Joshua J. Coon
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison; Madison, WI 53706, United States of America
- Department of Biomolecular Chemistry, University of Wisconsin-Madison; Madison, WI 53506, United States of America
- Morgridge Institute for Research; Madison, WI 53706, United States of America
- Department of Chemistry, University of Wisconsin-Madison; Madison, WI 53506, United States of America
| | - Corinne D. Engelman
- Department of Population Health Sciences, University of Wisconsin-Madison; 610 Walnut Street, 707 WARF Building, Madison, WI 53726, United States of America
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Toader C, Dobrin N, Brehar FM, Popa C, Covache-Busuioc RA, Glavan LA, Costin HP, Bratu BG, Corlatescu AD, Popa AA, Ciurea AV. From Recognition to Remedy: The Significance of Biomarkers in Neurodegenerative Disease Pathology. Int J Mol Sci 2023; 24:16119. [PMID: 38003309 PMCID: PMC10671641 DOI: 10.3390/ijms242216119] [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: 10/10/2023] [Revised: 10/28/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
With the inexorable aging of the global populace, neurodegenerative diseases (NDs) like Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS) pose escalating challenges, which are underscored by their socioeconomic repercussions. A pivotal aspect in addressing these challenges lies in the elucidation and application of biomarkers for timely diagnosis, vigilant monitoring, and effective treatment modalities. This review delineates the quintessence of biomarkers in the realm of NDs, elucidating various classifications and their indispensable roles. Particularly, the quest for novel biomarkers in AD, transcending traditional markers in PD, and the frontier of biomarker research in ALS are scrutinized. Emergent susceptibility and trait markers herald a new era of personalized medicine, promising enhanced treatment initiation especially in cases of SOD1-ALS. The discourse extends to diagnostic and state markers, revolutionizing early detection and monitoring, alongside progression markers that unveil the trajectory of NDs, propelling forward the potential for tailored interventions. The synergy between burgeoning technologies and innovative techniques like -omics, histologic assessments, and imaging is spotlighted, underscoring their pivotal roles in biomarker discovery. Reflecting on the progress hitherto, the review underscores the exigent need for multidisciplinary collaborations to surmount the challenges ahead, accelerate biomarker discovery, and herald a new epoch of understanding and managing NDs. Through a panoramic lens, this article endeavors to provide a comprehensive insight into the burgeoning field of biomarkers in NDs, spotlighting the promise they hold in transforming the diagnostic landscape, enhancing disease management, and illuminating the pathway toward efficacious therapeutic interventions.
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Affiliation(s)
- Corneliu Toader
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (L.A.G.); (H.P.C.); (B.-G.B.); (A.D.C.); (A.V.C.)
- Department of Vascular Neurosurgery, National Institute of Neurology and Neurovascular Diseases, 077160 Bucharest, Romania
| | - Nicolaie Dobrin
- Department of Neurosurgery, Clinical Emergency Hospital “Prof. Dr. Nicolae Oblu”, 700309 Iasi, Romania
| | - Felix-Mircea Brehar
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (L.A.G.); (H.P.C.); (B.-G.B.); (A.D.C.); (A.V.C.)
- Department of Neurosurgery, Clinical Emergency Hospital “Bagdasar-Arseni”, 041915 Bucharest, Romania
| | - Constantin Popa
- Department of Neurology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Department of Neurology, National Institute of Neurology and Neurovascular Diseases, 077160 Bucharest, Romania
- Medical Science Section, Romanian Academy, 060021 Bucharest, Romania
| | - Razvan-Adrian Covache-Busuioc
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (L.A.G.); (H.P.C.); (B.-G.B.); (A.D.C.); (A.V.C.)
| | - Luca Andrei Glavan
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (L.A.G.); (H.P.C.); (B.-G.B.); (A.D.C.); (A.V.C.)
| | - Horia Petre Costin
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (L.A.G.); (H.P.C.); (B.-G.B.); (A.D.C.); (A.V.C.)
| | - Bogdan-Gabriel Bratu
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (L.A.G.); (H.P.C.); (B.-G.B.); (A.D.C.); (A.V.C.)
| | - Antonio Daniel Corlatescu
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (L.A.G.); (H.P.C.); (B.-G.B.); (A.D.C.); (A.V.C.)
| | - Andrei Adrian Popa
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (L.A.G.); (H.P.C.); (B.-G.B.); (A.D.C.); (A.V.C.)
| | - Alexandru Vlad Ciurea
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (L.A.G.); (H.P.C.); (B.-G.B.); (A.D.C.); (A.V.C.)
- Medical Science Section, Romanian Academy, 060021 Bucharest, Romania
- Neurosurgery Department, Sanador Clinical Hospital, 010991 Bucharest, Romania
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Tao Q, Zhang C, Mercier G, Lunetta K, Ang TFA, Akhter‐Khan S, Zhang Z, Taylor A, Killiany RJ, Alosco M, Mez J, Au R, Zhang X, Farrer LA, Qiu WWQ. Identification of an APOE ε4-specific blood-based molecular pathway for Alzheimer's disease risk. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12490. [PMID: 37854772 PMCID: PMC10579631 DOI: 10.1002/dad2.12490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 09/25/2023] [Indexed: 10/20/2023]
Abstract
INTRODUCTION The precise apolipoprotein E (APOE) ε4-specific molecular pathway(s) for Alzheimer's disease (AD) risk are unclear. METHODS Plasma protein modules/cascades were analyzed using weighted gene co-expression network analysis (WGCNA) in the Alzheimer's Disease Neuroimaging Initiative study. Multivariable regression analyses were used to examine the associations among protein modules, AD diagnoses, cerebrospinal fluid (CSF) phosphorylated tau (p-tau), and brain glucose metabolism, stratified by APOE genotype. RESULTS The Green Module was associated with AD diagnosis in APOE ε4 homozygotes. Three proteins from this module, C-reactive protein (CRP), complement C3, and complement factor H (CFH), had dose-dependent associations with CSF p-tau and cognitive impairment only in APOE ε4 homozygotes. The link among these three proteins and glucose hypometabolism was observed in brain regions of the default mode network (DMN) in APOE ε4 homozygotes. A Framingham Heart Study validation study supported the findings for AD. DISCUSSION The study identifies the APOE ε4-specific CRP-C3-CFH inflammation pathway for AD, suggesting potential drug targets for the disease.Highlights: Identification of an APOE ε4 specific molecular pathway involving blood CRP, C3, and CFH for the risk of AD.CRP, C3, and CFH had dose-dependent associations with CSF p-Tau and brain glucose hypometabolism as well as with cognitive impairment only in APOE ε4 homozygotes.Targeting CRP, C3, and CFH may be protective and therapeutic for AD onset in APOE ε4 carriers.
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Affiliation(s)
- Qiushan Tao
- Department of Pharmacology, Physiology & BiophysicsBoston University School of MedicineBostonMassachusettsUSA
- Slone Epidemiology CenterSchool of Public HealthBoston University Medical Campus (BUMC)BostonMassachusettsUSA
| | - Chao Zhang
- Section of Computational BiomedicineDepartment of MedicineBoston University School of MedicineBostonMassachusettsUSA
| | - Gustavo Mercier
- Section of Molecular Imaging and Nuclear MedicineDepartment of RadiologyBoston University School of MedicineBostonMassachusettsUSA
| | - Kathryn Lunetta
- Slone Epidemiology CenterSchool of Public HealthBoston University Medical Campus (BUMC)BostonMassachusettsUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
| | - Ting Fang Alvin Ang
- Slone Epidemiology CenterSchool of Public HealthBoston University Medical Campus (BUMC)BostonMassachusettsUSA
- Department of Anatomy & NeurobiologyBoston University School of MedicineBostonMassachusettsUSA
| | - Samia Akhter‐Khan
- Department of Health Service & Population ResearchKing's College London, LondonDavid Goldberg CentreLondonUK
| | - Zhengrong Zhang
- Department of Pharmacology, Physiology & BiophysicsBoston University School of MedicineBostonMassachusettsUSA
| | - Andrew Taylor
- Department of OphthalmologyBoston University School of MedicineBostonMassachusettsUSA
| | - Ronald J. Killiany
- Department of Anatomy & NeurobiologyBoston University School of MedicineBostonMassachusettsUSA
| | - Michael Alosco
- Department of NeurologyBoston University School of MedicineBostonMassachusettsUSA
| | - Jesse Mez
- Department of NeurologyBoston University School of MedicineBostonMassachusettsUSA
- Alzheimer's Disease and CTE CentersBoston University School of MedicineBostonMassachusettsUSA
| | - Rhoda Au
- Slone Epidemiology CenterSchool of Public HealthBoston University Medical Campus (BUMC)BostonMassachusettsUSA
- Department of Anatomy & NeurobiologyBoston University School of MedicineBostonMassachusettsUSA
| | - Xiaoling Zhang
- Department of MedicineBoston University School of MedicineBostonMassachusettsUSA
| | - Lindsay A. Farrer
- Alzheimer's Disease and CTE CentersBoston University School of MedicineBostonMassachusettsUSA
- Department of MedicineBoston University School of MedicineBostonMassachusettsUSA
| | - Wendy Wei Qiao Qiu
- Department of Pharmacology, Physiology & BiophysicsBoston University School of MedicineBostonMassachusettsUSA
- Alzheimer's Disease and CTE CentersBoston University School of MedicineBostonMassachusettsUSA
- Department of PsychiatryBoston University School of MedicineBostonMassachusettsUSA
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Mehta K, Mohebbi M, Pasco JA, Williams LJ, Sui SX, Walder K, Ng BL, Gupta VB. A plasma protein signature associated with cognitive function in men without severe cognitive impairment. Alzheimers Res Ther 2023; 15:148. [PMID: 37658429 PMCID: PMC10472730 DOI: 10.1186/s13195-023-01294-7] [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: 05/05/2023] [Accepted: 08/21/2023] [Indexed: 09/03/2023]
Abstract
BACKGROUND A minimally invasive blood-based assessment of cognitive function could be a promising screening strategy to identify high-risk groups for the incidence of Alzheimer's disease. METHODS The study included 448 cognitively unimpaired men (mean age 64.1 years) drawn from the Geelong Osteoporosis Study. A targeted mass spectrometry-based proteomic assay was performed to measure the abundance levels of 269 plasma proteins followed by linear regression analyses adjusted for age and APOE ε4 carrier status to identify the biomarkers related to overall cognitive function. Furthermore, two-way interactions were conducted to see whether Alzheimer's disease-linked genetic variants or health conditions modify the association between biomarkers and cognitive function. RESULTS Ten plasma proteins showed an association with overall cognitive function. This association was modified by allelic variants in genes ABCA7, CLU, BDNF and MS4A6A that have been previously linked to Alzheimer's disease. Modifiable health conditions such as mood disorders and poor bone health, which are postulated to be risk factors for Alzheimer's disease, also impacted the relationship observed between protein marker levels and cognition. In addition to the univariate analyses, an 11-feature multianalyte model was created using the least absolute shrinkage and selection operator regression that identified 10 protein features and age associated with cognitive function. CONCLUSIONS Overall, the present study revealed plasma protein candidates that may contribute to the development of a blood-based screening test for identifying early cognitive changes. This study also highlights the importance of considering other risk factors in elucidating the relationship between biomarkers and cognition, an area that remains largely unexplored.
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Affiliation(s)
- Kanika Mehta
- Deakin University, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC, 3216, Australia
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Mohammadreza Mohebbi
- Deakin University, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC, 3216, Australia
- Biostatistics Unit, Faculty of Health, Deakin University, Burwood, VIC, Australia
| | - Julie A Pasco
- Deakin University, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC, 3216, Australia
- Department of Medicine-Western Health, The University of Melbourne, St Albans, VIC, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Prahran, VIC, Australia
- Barwon Health, Geelong, VIC, Australia
| | - Lana J Williams
- Deakin University, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC, 3216, Australia
- Barwon Health, Geelong, VIC, Australia
| | - Sophia X Sui
- Deakin University, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC, 3216, Australia
| | - Ken Walder
- Deakin University, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC, 3216, Australia
| | - Boon Lung Ng
- Department of Geriatric Medicine, Barwon Health, Geelong, VIC, Australia
| | - Veer Bala Gupta
- Deakin University, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC, 3216, Australia.
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Hu WT, Nayyar A, Kaluzova M. Charting the Next Road Map for CSF Biomarkers in Alzheimer's Disease and Related Dementias. Neurotherapeutics 2023; 20:955-974. [PMID: 37378862 PMCID: PMC10457281 DOI: 10.1007/s13311-023-01370-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2023] [Indexed: 06/29/2023] Open
Abstract
Clinical prediction of underlying pathologic substrates in people with Alzheimer's disease (AD) dementia or related dementia syndromes (ADRD) has limited accuracy. Etiologic biomarkers - including cerebrospinal fluid (CSF) levels of AD proteins and cerebral amyloid PET imaging - have greatly modernized disease-modifying clinical trials in AD, but their integration into medical practice has been slow. Beyond core CSF AD biomarkers (including beta-amyloid 1-42, total tau, and tau phosphorylated at threonine 181), novel biomarkers have been interrogated in single- and multi-centered studies with uneven rigor. Here, we review early expectations for ideal AD/ADRD biomarkers, assess these goals' future applicability, and propose study designs and performance thresholds for meeting these ideals with a focus on CSF biomarkers. We further propose three new characteristics: equity (oversampling of diverse populations in the design and testing of biomarkers), access (reasonable availability to 80% of people at risk for disease, along with pre- and post-biomarker processes), and reliability (thorough evaluation of pre-analytical and analytical factors influencing measurements and performance). Finally, we urge biomarker scientists to balance the desire and evidence for a biomarker to reflect its namesake function, indulge data- as well as theory-driven associations, re-visit the subset of rigorously measured CSF biomarkers in large datasets (such as Alzheimer's disease neuroimaging initiative), and resist the temptation to favor ease over fail-safe in the development phase. This shift from discovery to application, and from suspended disbelief to cogent ingenuity, should allow the AD/ADRD biomarker field to live up to its billing during the next phase of neurodegenerative disease research.
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Affiliation(s)
- William T Hu
- Department of Neurology, Rutgers Biomedical and Health Sciences, Rutgers-Robert Wood Johnson Medical School, 125 Paterson Street, Suite 6200, New Brunswick, NJ, 08901, USA.
- Center for Innovation in Health and Aging Research, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, 08901, USA.
| | - Ashima Nayyar
- Department of Neurology, Rutgers Biomedical and Health Sciences, Rutgers-Robert Wood Johnson Medical School, 125 Paterson Street, Suite 6200, New Brunswick, NJ, 08901, USA
| | - Milota Kaluzova
- Department of Neurology, Rutgers Biomedical and Health Sciences, Rutgers-Robert Wood Johnson Medical School, 125 Paterson Street, Suite 6200, New Brunswick, NJ, 08901, USA
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8
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Mehta NH, Zhou L, Li Y, McIntire LB, Nordvig A, Butler T, de Leon M, Chiang GC. Peripheral immune cell imbalance is associated with cortical beta-amyloid deposition and longitudinal cognitive decline. Sci Rep 2023; 13:8847. [PMID: 37258519 PMCID: PMC10232445 DOI: 10.1038/s41598-023-34012-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 04/22/2023] [Indexed: 06/02/2023] Open
Abstract
Neuroinflammation is believed to be a key process in Alzheimer's disease (AD) pathogenesis. Recently, the neutrophil-to-lymphocyte (NLR) and lymphocyte-to-monocyte ratios (LMR) have been proposed to be useful peripheral markers of inflammation. However, it is unclear how these inflammatory ratios relate to AD pathology, such as β-amyloid (Aβ) plaques and tau tangles. Using 18F-florbetapir and 18F-flortaucipir positron emission tomography (PET), we sought to determine how the NLR and LMR are associated with AD pathology both cross-sectionally and longitudinally. We further evaluated associations between the NLR and LMR and longitudinal cognitive decline. Using data from the Alzheimer's Disease Neuroimaging Initiative, we analyzed blood, PET, and cognitive data from 1544 subjects-405 cognitively normal, 838 with mild cognitive impairment (MCI), and 301 with AD. Associations between the NLR and LMR and Aβ and tau on PET were assessed using ordinary least-squares and mixed-effects regression models, while adjusting for age, sex, years of education, and apolipoprotein E ε2 or ε4 carrier status. Associations between the NLR and LMR and cognitive function, as measured by the AD Assessment Scale-Cognitive Subscale, 13-item version, were also assessed. MCI and AD subjects had higher NLR (p = 0.017, p < 0.001, respectively) and lower LMR (p = 0.013, p = 0.023). The NLR, but not the LMR, was significantly associated with Aβ (p = 0.028), suggesting that higher NLR was associated with greater Aβ deposition in the brain. Neither the NLR nor the LMR was associated with tau deposition (p > 0.05). A higher NLR was associated with greater longitudinal cognitive decline (p < 0.001). A higher ratio of peripheral neutrophils to lymphocytes, possibly reflecting an imbalance in innate versus adaptive immunity, is related to greater Aβ deposition and longitudinal cognitive decline. As the field moves toward blood-based biomarkers of AD, the altered balance of innate versus adaptive immunity could be a useful biomarker of underlying pathology and may also serve as a potential therapeutic target.
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Affiliation(s)
- Neel H Mehta
- Department of Biology, Cornell University, Ithaca, NY, 14850, USA
| | - Liangdong Zhou
- Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 407 E 61st Street, New York, NY, 10065, USA
| | - Yi Li
- Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 407 E 61st Street, New York, NY, 10065, USA
| | - Laura Beth McIntire
- Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 407 E 61st Street, New York, NY, 10065, USA
- Department of Pathology and Cell Biology, Columbia University Medical Center, 630 West 168th Street, New York, NY, 10065, USA
| | - Anna Nordvig
- Department of Neurology, Alzheimer's Disease and Memory Disorders Program, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 428 East 72nd Street Suite 500, New York, NY, 10021, USA
| | - Tracy Butler
- Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 407 E 61st Street, New York, NY, 10065, USA
| | - Mony de Leon
- Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 407 E 61st Street, New York, NY, 10065, USA
| | - Gloria C Chiang
- Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 407 E 61st Street, New York, NY, 10065, USA.
- Department of Radiology, Division of Neuroradiology, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 525 East 68th Street, Starr Pavilion, Box 141, New York, NY, 10065, USA.
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9
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Choi BJ, Park MH, Park KH, Han WH, Yoon HJ, Jung HY, Hong JY, Chowdhury MR, Kim KY, Lee J, Song IS, Pang M, Choi MK, Gulbins E, Reichel M, Kornhuber J, Hong CW, Kim C, Kim SH, Schuchman EH, Jin HK, Bae JS. Immunotherapy targeting plasma ASM is protective in a mouse model of Alzheimer's disease. Nat Commun 2023; 14:1631. [PMID: 36959217 PMCID: PMC10036484 DOI: 10.1038/s41467-023-37316-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 03/10/2023] [Indexed: 03/25/2023] Open
Abstract
Acid sphingomyelinase (ASM) has been implicated in neurodegenerative disease pathology, including Alzheimer's disease (AD). However, the specific role of plasma ASM in promoting these pathologies is poorly understood. Herein, we explore plasma ASM as a circulating factor that accelerates neuropathological features in AD by exposing young APP/PS1 mice to the blood of mice overexpressing ASM, through parabiotic surgery. Elevated plasma ASM was found to enhance several neuropathological features in the young APP/PS1 mice by mediating the differentiation of blood-derived, pathogenic Th17 cells. Antibody-based immunotherapy targeting plasma ASM showed efficient inhibition of ASM activity in the blood of APP/PS1 mice and, interestingly, led to prophylactic effects on neuropathological features by suppressing pathogenic Th17 cells. Our data reveals insights into the potential pathogenic mechanisms underlying AD and highlights ASM-targeting immunotherapy as a potential strategy for further investigation.
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Affiliation(s)
- Byung Jo Choi
- KNU Alzheimer's disease Research Institute, Kyungpook National University, Daegu, South Korea
- Department of Laboratory Animal Medicine, College of Veterinary Medicine, Kyungpook National University, Daegu, South Korea
| | - Min Hee Park
- KNU Alzheimer's disease Research Institute, Kyungpook National University, Daegu, South Korea
- Department of Physiology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Kang Ho Park
- KNU Alzheimer's disease Research Institute, Kyungpook National University, Daegu, South Korea
- Department of Physiology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Wan Hui Han
- KNU Alzheimer's disease Research Institute, Kyungpook National University, Daegu, South Korea
- Department of Physiology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Hee Ji Yoon
- KNU Alzheimer's disease Research Institute, Kyungpook National University, Daegu, South Korea
- Department of Physiology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Hye Yoon Jung
- KNU Alzheimer's disease Research Institute, Kyungpook National University, Daegu, South Korea
- Department of Physiology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Ju Yeon Hong
- KNU Alzheimer's disease Research Institute, Kyungpook National University, Daegu, South Korea
- Department of Physiology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Md Riad Chowdhury
- KNU Alzheimer's disease Research Institute, Kyungpook National University, Daegu, South Korea
- Department of Physiology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Kyung Yeol Kim
- KNU Alzheimer's disease Research Institute, Kyungpook National University, Daegu, South Korea
- Department of Physiology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Jihoon Lee
- BK21 FOUR Community-Based Intelligent Novel Drug Discovery Education Unit, Vessel-Organ Interaction Research Center (VOICE), College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, South Korea
| | - Im-Sook Song
- BK21 FOUR Community-Based Intelligent Novel Drug Discovery Education Unit, Vessel-Organ Interaction Research Center (VOICE), College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, South Korea
| | - Minyeong Pang
- College of Pharmacy, Dankook University, Cheon-an, South Korea
| | - Min-Koo Choi
- College of Pharmacy, Dankook University, Cheon-an, South Korea
| | - Erich Gulbins
- Department of Molecular Biology, University of Duisburg-Essen, Essen, Germany
| | - Martin Reichel
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany
| | - Chang-Won Hong
- Department of Physiology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Changho Kim
- Department of Emergency Medicine, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Seung Hyun Kim
- Department of Neurology, Hanyang University College of Medicine, Seoul, South Korea
| | - Edward H Schuchman
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hee Kyung Jin
- KNU Alzheimer's disease Research Institute, Kyungpook National University, Daegu, South Korea.
- Department of Laboratory Animal Medicine, College of Veterinary Medicine, Kyungpook National University, Daegu, South Korea.
| | - Jae-Sung Bae
- KNU Alzheimer's disease Research Institute, Kyungpook National University, Daegu, South Korea.
- Department of Physiology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, South Korea.
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10
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Wang ZB, Ma YH, Sun Y, Tan L, Wang HF, Yu JT. Interleukin-3 is associated with sTREM2 and mediates the correlation between amyloid-β and tau pathology in Alzheimer's disease. J Neuroinflammation 2022; 19:316. [PMID: 36578067 PMCID: PMC9798566 DOI: 10.1186/s12974-022-02679-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 12/20/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Dysfunction of glial cell communication is involved in Alzheimer's disease (AD) pathogenesis, and the recent study reported that astrocytic secreted interleukin-3 (IL-3) participated in astrocyte-microglia crosstalk and restricted AD pathology in mice, but the effect of IL-3 on the pathological progression of AD in human is still unclear. METHODS A total of 311 participants with cerebrospinal fluid (CSF) IL-3, soluble triggering receptor expressed on myeloid cells 2 (sTREM2), and AD biomarkers were included from the Alzheimer's disease Neuroimaging Initiative (ADNI). We assessed the associations of IL-3 with sTREM2 and AD biomarkers at baseline, and with cognitive change in longitudinal study. The mediation models were used to explore the potential mechanism of how IL-3 affects AD pathology. RESULTS We found that CSF IL-3 was significantly associated with CSF sTREM2 and CSF AD core biomarkers (Aβ42, p-tau, and t-tau) at baseline, and was also markedly related to cognitive decline in longitudinal analysis. Moreover, mediation analysis revealed that CSF IL-3 modulated the level of CSF sTREM2 and contributed to tau pathology (as measured by CSF p-tau/t-tau) and subsequent cognitive decline. In addition, Aβ pathology (as measured by CSF Aβ42) affected the development of tau pathology partly by modifying the levels of CSF IL-3 and CSF sTREM2. Furthermore, the effect of Aβ pathology on cognitive decline was partially mediated by the pathway from CSF IL-3 and CSF sTREM2 to tau pathology. CONCLUSIONS Our findings provide evidence to suggest that IL-3 is linked to sTREM2 and mediates the correlation between Aβ pathology to tau pathology. It indicates that IL-3 may be a major factor in the spreading from Aβ pathology to tau pathology to cognitive impairment.
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Affiliation(s)
- Zhi-Bo Wang
- grid.410645.20000 0001 0455 0905Department of Neurology, Qingdao Municipal Hospital, Qingdao University, No. 5 Donghai Middle Road, Qingdao, China
| | - Ya-Hui Ma
- grid.410645.20000 0001 0455 0905Department of Neurology, Qingdao Municipal Hospital, Qingdao University, No. 5 Donghai Middle Road, Qingdao, China
| | - Yan Sun
- grid.410645.20000 0001 0455 0905Department of Neurology, Qingdao Municipal Hospital, Qingdao University, No. 5 Donghai Middle Road, Qingdao, China
| | - Lan Tan
- grid.410645.20000 0001 0455 0905Department of Neurology, Qingdao Municipal Hospital, Qingdao University, No. 5 Donghai Middle Road, Qingdao, China
| | - Hui-Fu Wang
- grid.410645.20000 0001 0455 0905Department of Neurology, Qingdao Municipal Hospital, Qingdao University, No. 5 Donghai Middle Road, Qingdao, China ,grid.8547.e0000 0001 0125 2443Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Jin-Tai Yu
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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11
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Markov NT, Lindbergh CA, Staffaroni AM, Perez K, Stevens M, Nguyen K, Murad NF, Fonseca C, Campisi J, Kramer J, Furman D. Age-related brain atrophy is not a homogenous process: Different functional brain networks associate differentially with aging and blood factors. Proc Natl Acad Sci U S A 2022; 119:e2207181119. [PMID: 36459652 PMCID: PMC9894212 DOI: 10.1073/pnas.2207181119] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 10/04/2022] [Indexed: 12/04/2022] Open
Abstract
Aging is characterized by a progressive loss of brain volume at an estimated rate of 5% per decade after age 40. While these morphometric changes, especially those affecting gray matter and atrophy of the temporal lobe, are predictors of cognitive performance, the strong association with aging obscures the potential parallel, but more specific role, of individual subject physiology. Here, we studied a cohort of 554 human subjects who were monitored using structural MRI scans and blood immune protein concentrations. Using machine learning, we derived a cytokine clock (CyClo), which predicted age with good accuracy (Mean Absolute Error = 6 y) based on the expression of a subset of immune proteins. These proteins included, among others, Placenta Growth Factor (PLGF) and Vascular Endothelial Growth Factor (VEGF), both involved in angiogenesis, the chemoattractant vascular cell adhesion molecule 1 (VCAM-1), the canonical inflammatory proteins interleukin-6 (IL-6) and tumor necrosis factor alpha (TNFα), the chemoattractant IP-10 (CXCL10), and eotaxin-1 (CCL11), previously involved in brain disorders. Age, sex, and the CyClo were independently associated with different functionally defined cortical networks in the brain. While age was mostly correlated with changes in the somatomotor system, sex was associated with variability in the frontoparietal, ventral attention, and visual networks. Significant canonical correlation was observed for the CyClo and the default mode, limbic, and dorsal attention networks, indicating that immune circulating proteins preferentially affect brain processes such as focused attention, emotion, memory, response to social stress, internal evaluation, and access to consciousness. Thus, we identified immune biomarkers of brain aging which could be potential therapeutic targets for the prevention of age-related cognitive decline.
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Affiliation(s)
- Nikola T. Markov
- Buck AI Platform, Buck Institute for Research on Aging, Novato, CA94945
| | - Cutter A. Lindbergh
- Department of Neurology, Memory and Aging Center, University of California San Francisco, Weill Institute for Neurosciences, San Francisco, CA94158
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT06030
| | - Adam M. Staffaroni
- Department of Neurology, Memory and Aging Center, University of California San Francisco, Weill Institute for Neurosciences, San Francisco, CA94158
| | - Kevin Perez
- Buck AI Platform, Buck Institute for Research on Aging, Novato, CA94945
- University of Lausanne, LausanneCH-1015, Switzerland
| | - Michael Stevens
- Buck AI Platform, Buck Institute for Research on Aging, Novato, CA94945
| | - Khiem Nguyen
- Buck AI Platform, Buck Institute for Research on Aging, Novato, CA94945
- Nguyen Tat Thanh Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City70000, Vietnam
| | - Natalia F. Murad
- Buck AI Platform, Buck Institute for Research on Aging, Novato, CA94945
| | - Corrina Fonseca
- Department of Neurology, Memory and Aging Center, University of California San Francisco, Weill Institute for Neurosciences, San Francisco, CA94158
| | - Judith Campisi
- Buck AI Platform, Buck Institute for Research on Aging, Novato, CA94945
| | - Joel Kramer
- Department of Neurology, Memory and Aging Center, University of California San Francisco, Weill Institute for Neurosciences, San Francisco, CA94158
| | - David Furman
- Buck AI Platform, Buck Institute for Research on Aging, Novato, CA94945
- Instituto de Investigaciones en Medicina Traslacional, Universidad Austral, Consejo Nacional de Investigaciones Científicas y Técnicas, Pilar1629, Argentina
- Stanford 1000 Immunomes Project, Stanford University School of Medicine, Stanford, CA94305
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12
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Advancements in the development of multi-target directed ligands for the treatment of Alzheimer's disease. Bioorg Med Chem 2022; 61:116742. [PMID: 35398739 DOI: 10.1016/j.bmc.2022.116742] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 04/01/2022] [Indexed: 12/20/2022]
Abstract
Alzheimer's disease (AD) is a multifactorial irreversible neurological disorder which results in cognitive impairment, loss of cholinergic neurons in synapses of the basal forebrain and neuronal death. Exact pathology of the disease is not yet known however, many hypotheses have been proposed for its treatment. The available treatments including monotherapies and combination therapies are not able to combat the disease effectively because of its complex pathological mechanism. A multipotent drug for AD has the potential to bind or inhibit multiple targets responsible for the progression of the disease like aggregated Aβ, hyperphosphorylated tau proteins, cholinergic and adrenergic receptors, MAO enzymes, overactivated N-methyl-d-aspartate (NMDA), α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor etc. The traditional approach of one disease-one target-one drug has been rationalized to one drug-multi targets for the chronic diseases like AD and cancer. Thus, over the last decade research focus has been shifted towards the development of multi target directed ligands (MTDLs) which can simultaneously inhibit multiple targets and stop or slow the progression of the disease. The MTDLs can be more effective against AD and eliminate any possibility of drug-drug interactions. Many important active pharmacophore units have been fused, merged or incorporated into different scaffolds to synthesize new potent drugs. In the current article, we have described various hypothesis for AD and effectiveness of the MTDLs treatment strategy is discussed in detail. Different chemical scaffolds and their synthetic strategies have been described and important functionalities are identified in the chemical scaffold that have the potential to bind to the multiple targets. The important leads identified in this study with MTDL characteristics have the potential to be developed as drug candidates for the effective treatment of AD.
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13
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Lin H, Himali JJ, Satizabal CL, Beiser AS, Levy D, Benjamin EJ, Gonzales MM, Ghosh S, Vasan RS, Seshadri S, McGrath ER. Identifying Blood Biomarkers for Dementia Using Machine Learning Methods in the Framingham Heart Study. Cells 2022; 11:1506. [PMID: 35563811 PMCID: PMC9100323 DOI: 10.3390/cells11091506] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 04/20/2022] [Accepted: 04/27/2022] [Indexed: 11/25/2022] Open
Abstract
Blood biomarkers for dementia have the potential to identify preclinical disease and improve participant selection for clinical trials. Machine learning is an efficient analytical strategy to simultaneously identify multiple candidate biomarkers for dementia. We aimed to identify important candidate blood biomarkers for dementia using three machine learning models. We included 1642 (mean 69 ± 6 yr, 53% women) dementia-free Framingham Offspring Cohort participants attending examination, 7 who had available blood biomarker data. We developed three machine learning models, support vector machine (SVM), eXtreme gradient boosting of decision trees (XGB), and artificial neural network (ANN), to identify candidate biomarkers for incident dementia. Over a mean 12 ± 5 yr follow-up, 243 (14.8%) participants developed dementia. In multivariable models including all 38 available biomarkers, the XGB model demonstrated the strongest predictive accuracy for incident dementia (AUC 0.74 ± 0.01), followed by ANN (AUC 0.72 ± 0.01), and SVM (AUC 0.69 ± 0.01). Stepwise feature elimination by random sampling identified a subset of the nine most highly informative biomarkers. Machine learning models confined to these nine biomarkers showed improved model predictive accuracy for dementia (XGB, AUC 0.76 ± 0.01; ANN, AUC 0.75 ± 0.004; SVM, AUC 0.73 ± 0.01). A parsimonious panel of nine candidate biomarkers were identified which showed moderately good predictive accuracy for incident dementia, although our results require external validation.
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Affiliation(s)
- Honghuang Lin
- The Framingham Heart Study, Framingham, MA 01701, USA; (H.L.); (J.J.H.); (C.L.S.); (A.S.B.); (D.L.); (E.J.B.); (M.M.G.); (S.G.); (R.S.V.); (S.S.)
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Jayandra J. Himali
- The Framingham Heart Study, Framingham, MA 01701, USA; (H.L.); (J.J.H.); (C.L.S.); (A.S.B.); (D.L.); (E.J.B.); (M.M.G.); (S.G.); (R.S.V.); (S.S.)
- School of Public Health, Boston University, Boston, MA 02118, USA
- School of Medicine, Boston University, Boston, MA 02118, USA
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX 77072, USA
| | - Claudia L. Satizabal
- The Framingham Heart Study, Framingham, MA 01701, USA; (H.L.); (J.J.H.); (C.L.S.); (A.S.B.); (D.L.); (E.J.B.); (M.M.G.); (S.G.); (R.S.V.); (S.S.)
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX 77072, USA
| | - Alexa S. Beiser
- The Framingham Heart Study, Framingham, MA 01701, USA; (H.L.); (J.J.H.); (C.L.S.); (A.S.B.); (D.L.); (E.J.B.); (M.M.G.); (S.G.); (R.S.V.); (S.S.)
- School of Public Health, Boston University, Boston, MA 02118, USA
- School of Medicine, Boston University, Boston, MA 02118, USA
| | - Daniel Levy
- The Framingham Heart Study, Framingham, MA 01701, USA; (H.L.); (J.J.H.); (C.L.S.); (A.S.B.); (D.L.); (E.J.B.); (M.M.G.); (S.G.); (R.S.V.); (S.S.)
- Population Sciences Branch, National Heart, Lung and Blood Institutes of Health, Bethesda, MD 20824, USA
| | - Emelia J. Benjamin
- The Framingham Heart Study, Framingham, MA 01701, USA; (H.L.); (J.J.H.); (C.L.S.); (A.S.B.); (D.L.); (E.J.B.); (M.M.G.); (S.G.); (R.S.V.); (S.S.)
- School of Public Health, Boston University, Boston, MA 02118, USA
- School of Medicine, Boston University, Boston, MA 02118, USA
| | - Mitzi M. Gonzales
- The Framingham Heart Study, Framingham, MA 01701, USA; (H.L.); (J.J.H.); (C.L.S.); (A.S.B.); (D.L.); (E.J.B.); (M.M.G.); (S.G.); (R.S.V.); (S.S.)
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX 77072, USA
| | - Saptaparni Ghosh
- The Framingham Heart Study, Framingham, MA 01701, USA; (H.L.); (J.J.H.); (C.L.S.); (A.S.B.); (D.L.); (E.J.B.); (M.M.G.); (S.G.); (R.S.V.); (S.S.)
- School of Medicine, Boston University, Boston, MA 02118, USA
| | - Ramachandran S. Vasan
- The Framingham Heart Study, Framingham, MA 01701, USA; (H.L.); (J.J.H.); (C.L.S.); (A.S.B.); (D.L.); (E.J.B.); (M.M.G.); (S.G.); (R.S.V.); (S.S.)
- School of Medicine, Boston University, Boston, MA 02118, USA
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA 01701, USA; (H.L.); (J.J.H.); (C.L.S.); (A.S.B.); (D.L.); (E.J.B.); (M.M.G.); (S.G.); (R.S.V.); (S.S.)
- School of Medicine, Boston University, Boston, MA 02118, USA
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX 77072, USA
| | - Emer R. McGrath
- The Framingham Heart Study, Framingham, MA 01701, USA; (H.L.); (J.J.H.); (C.L.S.); (A.S.B.); (D.L.); (E.J.B.); (M.M.G.); (S.G.); (R.S.V.); (S.S.)
- HRB Clinical Research Facility, National University of Ireland Galway, University Road, H91TK33 Galway, Ireland
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Klyucherev TO, Olszewski P, Shalimova AA, Chubarev VN, Tarasov VV, Attwood MM, Syvänen S, Schiöth HB. Advances in the development of new biomarkers for Alzheimer's disease. Transl Neurodegener 2022; 11:25. [PMID: 35449079 PMCID: PMC9027827 DOI: 10.1186/s40035-022-00296-z] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 03/28/2022] [Indexed: 12/16/2022] Open
Abstract
Alzheimer's disease (AD) is a complex, heterogeneous, progressive disease and is the most common type of neurodegenerative dementia. The prevalence of AD is expected to increase as the population ages, placing an additional burden on national healthcare systems. There is a large need for new diagnostic tests that can detect AD at an early stage with high specificity at relatively low cost. The development of modern analytical diagnostic tools has made it possible to determine several biomarkers of AD with high specificity, including pathogenic proteins, markers of synaptic dysfunction, and markers of inflammation in the blood. There is a considerable potential in using microRNA (miRNA) as markers of AD, and diagnostic studies based on miRNA panels suggest that AD could potentially be determined with high accuracy for individual patients. Studies of the retina with improved methods of visualization of the fundus are also showing promising results for the potential diagnosis of the disease. This review focuses on the recent developments of blood, plasma, and ocular biomarkers for the diagnosis of AD.
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Affiliation(s)
- Timofey O Klyucherev
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden.,Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Pawel Olszewski
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden
| | - Alena A Shalimova
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden.,Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Vladimir N Chubarev
- Institute of Translational Medicine and Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Vadim V Tarasov
- Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia.,Institute of Translational Medicine and Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Misty M Attwood
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden
| | - Stina Syvänen
- Department of Public Health and Caring Sciences, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Helgi B Schiöth
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden.
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15
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Lindbohm JV, Mars N, Walker KA, Singh‐Manoux A, Livingston G, Brunner EJ, Sipilä PN, Saksela K, Ferrie JE, Lovering RC, Williams SA, Hingorani AD, Gottesman RF, Zetterberg H, Kivimäki M. Plasma proteins, cognitive decline, and 20-year risk of dementia in the Whitehall II and Atherosclerosis Risk in Communities studies. Alzheimers Dement 2022; 18:612-624. [PMID: 34338426 PMCID: PMC9292245 DOI: 10.1002/alz.12419] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 05/21/2021] [Accepted: 06/09/2021] [Indexed: 11/20/2022]
Abstract
INTRODUCTION Plasma proteins affect biological processes and are common drug targets but their role in the development of Alzheimer's disease and related dementias remains unclear. We examined associations between 4953 plasma proteins and cognitive decline and risk of dementia in two cohort studies with 20-year follow-ups. METHODS In the Whitehall II prospective cohort study proteins were measured using SOMAscan technology. Cognitive performance was tested five times over 20 years. Linkage to electronic health records identified incident dementia. The results were replicated in the Atherosclerosis Risk in Communities (ARIC) study. RESULTS Fifteen non-amyloid/non-tau-related proteins were associated with cognitive decline and dementia, were consistently identified in both cohorts, and were not explained by known dementia risk factors. Levels of six of the proteins are modifiable by currently approved medications for other conditions. DISCUSSION This study identified several plasma proteins in dementia-free people that are associated with long-term risk of cognitive decline and dementia.
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Affiliation(s)
- Joni V. Lindbohm
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
- Department of Public Health ClinicumUniversity of HelsinkiHelsinkiFinland
| | - Nina Mars
- Institute for Molecular Medicine Finland (FIMM) HiLIFEUniversity of HelsinkiHelsinkiFinland
| | - Keenan A. Walker
- Laboratory of Behavioral NeuroscienceIntramural Research ProgramNational Institute on AgingBaltimoreMarylandUSA
| | - Archana Singh‐Manoux
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
- Epidemiology of Ageing and Neurodegenerative diseasesUniversité de ParisParisFrance
| | - Gill Livingston
- Division of PsychiatryUniversity College LondonLondonUK
- Camden and Islington Foundation TrustLondonUK
| | - Eric J. Brunner
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
| | - Pyry N. Sipilä
- Department of Public Health ClinicumUniversity of HelsinkiHelsinkiFinland
| | - Kalle Saksela
- Department of VirologyUniversity of Helsinki and HUSLAB, Helsinki University HospitalHelsinkiFinland
| | - Jane E. Ferrie
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
- Bristol Medical School (PHS)University of BristolBristolUK
| | - Ruth C. Lovering
- Functional Gene AnnotationInstitute of Cardiovascular ScienceUniversity College LondonLondonUK
| | | | - Aroon D. Hingorani
- Institute of Cardiovascular ScienceUniversity College LondonLondonUK
- British Heart Foundation Research AcceleratorUniversity College LondonLondonUK
- Health Data ResearchLondonUK
| | | | - Henrik Zetterberg
- Department of Neurodegenerative Disease and UK Dementia Research InstituteUniversity College LondonLondonUK
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Mika Kivimäki
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
- Department of Public Health ClinicumUniversity of HelsinkiHelsinkiFinland
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16
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Pathak N, Vimal SK, Tandon I, Agrawal L, Hongyi C, Bhattacharyya S. Neurodegenerative Disorders of Alzheimer, Parkinsonism, Amyotrophic Lateral Sclerosis and Multiple Sclerosis: An Early Diagnostic Approach for Precision Treatment. Metab Brain Dis 2022; 37:67-104. [PMID: 34719771 DOI: 10.1007/s11011-021-00800-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 07/11/2021] [Indexed: 12/21/2022]
Abstract
Neurodegenerative diseases (NDs) are characterised by progressive dysfunction of synapses, neurons, glial cells and their networks. Neurodegenerative diseases can be classified according to primary clinical features (e.g., dementia, parkinsonism, or motor neuron disease), anatomic distribution of neurodegeneration (e.g., frontotemporal degenerations, extrapyramidal disorders, or spinocerebellar degenerations), or principal molecular abnormalities. The most common neurodegenerative disorders are amyloidosis, tauopathies, a-synucleinopathy, and TAR DNA-binding protein 43 (TDP-43) proteopathy. The protein abnormalities in these disorders have abnormal conformational properties along with altered cellular mechanisms, and they exhibit motor deficit, mitochondrial malfunction, dysfunctions in autophagic-lysosomal pathways, synaptic toxicity, and more emerging mechanisms such as the roles of stress granule pathways and liquid-phase transitions. Finally, for each ND, microglial cells have been reported to be implicated in neurodegeneration, in particular, because the microglial responses can shift from neuroprotective to a deleterious role. Growing experimental evidence suggests that abnormal protein conformers act as seed material for oligomerization, spreading from cell to cell through anatomically connected neuronal pathways, which may in part explain the specific anatomical patterns observed in brain autopsy sample. In this review, we mention the human pathology of select neurodegenerative disorders, focusing on how neurodegenerative disorders (i.e., Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and multiple sclerosis) represent a great healthcare problem worldwide and are becoming prevalent because of the increasing aged population. Despite many studies have focused on their etiopathology, the exact cause of these diseases is still largely unknown and until now with the only available option of symptomatic treatments. In this review, we aim to report the systematic and clinically correlated potential biomarker candidates. Although future studies are necessary for their use in early detection and progression in humans affected by NDs, the promising results obtained by several groups leads us to this idea that biomarkers could be used to design a potential therapeutic approach and preclinical clinical trials for the treatments of NDs.
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Affiliation(s)
- Nishit Pathak
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China
| | - Sunil Kumar Vimal
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China
| | - Ishi Tandon
- Amity University Jaipur, Rajasthan, Jaipur, Rajasthan, India
| | - Lokesh Agrawal
- Graduate School of Comprehensive Human Sciences, Kansei Behavioural and Brain Sciences, University of Tsukuba, 1-1-1, Tennodai, Tsukuba, Ibaraki, 305-8577, Japan
| | - Cao Hongyi
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China
| | - Sanjib Bhattacharyya
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China.
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17
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Contreras JA, Aslanyan V, Albrecht DS, Mack WJ, Pa J. Higher baseline levels of CSF inflammation increase risk of incident mild cognitive impairment and Alzheimer's disease dementia. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2022; 14:e12346. [PMID: 36187197 PMCID: PMC9484791 DOI: 10.1002/dad2.12346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 06/06/2022] [Accepted: 06/28/2022] [Indexed: 11/22/2022]
Abstract
Introduction Few studies have investigated how neuroinflammation early in the disease course may affect Alzheimer's disease (AD) progression over time despite evidence that neuroinflammation is associated with AD. Methods Research participants with cerebrospinal fluid (CSF) biomarkers from the Alzheimer's Disease Neuroimaging Initiative (ADNI) were included in this study. Cox models were used to investigate whether baseline CSF neuroinflammation was associated with incident mild cognitive impairment (MCI) or AD. Moderating effects of sex and apolipoprotein E (APOE) ε4 were also examined. Results Elevated levels of tumor necrosis factor α (TNF‐α), interleukin (IL)‐9, and IL‐12p40 at baseline were associated with higher rates of conversion to MCI/AD. Interactions with sex and APOE ε4 were observed, such that women with elevated TNF‐α and all APOE ε4 carriers with elevated IL‐9 levels had shorter times to conversion. In addition, TNF‐α mediated the relationship between elevated IL‐12p40 and IL‐9. Discussion Elevated neuroinflammation markers are associated with incident MCI/AD, and the factors of sex and APOE ε4 status modify the time to conversion.
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Affiliation(s)
- Joey A. Contreras
- Alzheimer's Disease Cooperative Study (ADCS) Department of Neurosciences University of California San Diego California USA
- Mark and Mary Stevens Neuroimaging and Informatics Institute Department of Neurology University of Southern California Los Angeles California USA
| | - Vahan Aslanyan
- Mark and Mary Stevens Neuroimaging and Informatics Institute Department of Neurology University of Southern California Los Angeles California USA
- Department of Population and Public Health Sciences Keck School of Medicine University of Southern California Los Angeles California USA
| | - Daniel S. Albrecht
- Mark and Mary Stevens Neuroimaging and Informatics Institute Department of Neurology University of Southern California Los Angeles California USA
| | - Wendy J. Mack
- Department of Population and Public Health Sciences Keck School of Medicine University of Southern California Los Angeles California USA
| | - Judy Pa
- Alzheimer's Disease Cooperative Study (ADCS) Department of Neurosciences University of California San Diego California USA
- Mark and Mary Stevens Neuroimaging and Informatics Institute Department of Neurology University of Southern California Los Angeles California USA
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18
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Increased plasma brain-derived neurotrophic factor (BDNF) as a potential biomarker for and compensatory mechanism in mild cognitive impairment: a case-control study. Aging (Albany NY) 2021; 13:22666-22689. [PMID: 34607976 PMCID: PMC8544315 DOI: 10.18632/aging.203598] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 09/18/2021] [Indexed: 12/12/2022]
Abstract
Background: Previous meta-analyses examining the continuum of Alzheimer’s disease (AD) concluded significantly decreased peripheral brain-derived neurotrophic factor (BDNF) in AD. However, across different meta-analyses, there remain inconsistent findings on peripheral BDNF levels in individuals with mild cognitive impairment (MCI). This issue has been attributed to the highly heterogenous clinical and laboratory factors. Thus, BDNF’s level, discriminative accuracy for identifying all-cause MCI and its subtypes, and its associations with other biomarkers and neurocognitive domains, remain largely unknown. Methods: To address this heterogeneity, we compared a healthy control cohort (n=56, 45 female) to an MCI cohort (n=40, 28 female), to determine whether plasma BDNF, hs-CRP, and DHEA-S can differentiate healthy from MCI individuals, including two MCI subtypes (amnestic [aMCI] and non-amnestic [non-aMCI]). The associations between BDNF with other biomarkers and neurocognitive tests were examined. Adults with cerebral palsy were included as sensitivity analyses. Results: Compared to healthy controls, BDNF was significantly higher in all-cause MCI, aMCI, and non-aMCI. Furthermore, BDNF had good (AUC=0.84, 95% CI=0.74 to 0.95, p<0.001) and excellent discriminative accuracies (AUC=0.92, 95% CI=0.84 to 1.00, p<0.001) for all-cause MCI and non-amnestic MCI, respectively. BDNF was significantly and positively associated with plasma hs-CRP (β=0.26, 95% CI=0.02 to 0.50, p=0.038), despite attenuated association upon controlling for BMI (β=0.15, 95% CI=-0.08 to 0.38, p=0.186). Multiple inverse associations between BDNF and detailed neurocognitive tests were also detected. Conclusions: These findings suggest BDNF is increased as a compensatory mechanism in preclinical dementia, supporting the neurotrophic and partially the inflammatory hypotheses of cognitive impairment.
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19
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Uddin MS, Kabir MT, Jalouli M, Rahman MA, Jeandet P, Behl T, Alexiou A, Albadrani GM, Abdel-Daim MM, Perveen A, Ashraf GM. Neuroinflammatory Signaling in the Pathogenesis of Alzheimer's Disease. Curr Neuropharmacol 2021; 20:126-146. [PMID: 34525932 PMCID: PMC9199559 DOI: 10.2174/1570159x19666210826130210] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 04/16/2021] [Accepted: 05/10/2021] [Indexed: 11/22/2022] Open
Abstract
Alzheimer’s disease (AD) is a chronic neurodegenerative disease characterized by the formation of intracellular neurofibrillary tangles (NFTs) and extracellular amyloid plaques. Growing evidence has suggested that AD pathogenesis is not only limited to the neuronal compartment but also strongly interacts with immunological processes in the brain. On the other hand, aggregated and misfolded proteins can bind with pattern recognition receptors located on astroglia and microglia and can, in turn, induce an innate immune response, characterized by the release of inflammatory mediators, ultimately playing a role in both the severity and the progression of the disease. It has been reported by genome-wide analysis that several genes which elevate the risk for sporadic AD encode for factors controlling the inflammatory response and glial clearance of misfolded proteins. Obesity and systemic inflammation are examples of external factors which may interfere with the immunological mechanisms of the brain and can induce disease progression. In this review, we discussed the mechanisms and essential role of inflammatory signaling pathways in AD pathogenesis. Indeed, interfering with immune processes and modulation of risk factors may lead to future therapeutic or preventive AD approaches.
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Affiliation(s)
- Md Sahab Uddin
- Department of Pharmacy, Southeast University, Dhaka. Bangladesh
| | | | - Maroua Jalouli
- College of Science, King Saud University, P.O. Box 2455, Riyadh 11451. Saudi Arabia
| | - Md Ataur Rahman
- Center for Neuroscience, Brain Science Institute, Korea Institute of Science and Technology, Seoul. Korea
| | - Philippe Jeandet
- Research Unit "Induced Resistance and Plant Bioprotection", EA 4707, SFR Condorcet FR CNRS 3417, Faculty of Sciences, University of Reims Champagne-Ardenne, PO Box 1039, 51687 Reims Cedex 2. France
| | - Tapan Behl
- Chitkara College of Pharmacy, Chitkara University, Punjab. India
| | - Athanasios Alexiou
- Novel Global Community Educational Foundation, 2770 Hebersham. Australia
| | - Ghadeer M Albadrani
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11474. Saudi Arabia
| | - Mohamed M Abdel-Daim
- Pharmacology Department, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522. Egypt
| | - Asma Perveen
- Glocal School of Life Sciences, Glocal University, Saharanpur. India
| | - Ghulam Md Ashraf
- Pre-Clinical Research Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah. Saudi Arabia
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20
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Hampel H, Nisticò R, Seyfried NT, Levey AI, Modeste E, Lemercier P, Baldacci F, Toschi N, Garaci F, Perry G, Emanuele E, Valenzuela PL, Lucia A, Urbani A, Sancesario GM, Mapstone M, Corbo M, Vergallo A, Lista S. Omics sciences for systems biology in Alzheimer's disease: State-of-the-art of the evidence. Ageing Res Rev 2021; 69:101346. [PMID: 33915266 DOI: 10.1016/j.arr.2021.101346] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 04/06/2021] [Accepted: 04/22/2021] [Indexed: 12/12/2022]
Abstract
Alzheimer's disease (AD) is characterized by non-linear, genetic-driven pathophysiological dynamics with high heterogeneity in biological alterations and disease spatial-temporal progression. Human in-vivo and post-mortem studies point out a failure of multi-level biological networks underlying AD pathophysiology, including proteostasis (amyloid-β and tau), synaptic homeostasis, inflammatory and immune responses, lipid and energy metabolism, oxidative stress. Therefore, a holistic, systems-level approach is needed to fully capture AD multi-faceted pathophysiology. Omics sciences - genomics, epigenomics, transcriptomics, proteomics, metabolomics, lipidomics - embedded in the systems biology (SB) theoretical and computational framework can generate explainable readouts describing the entire biological continuum of a disease. Such path in Neurology is encouraged by the promising results of omics sciences and SB approaches in Oncology, where stage-driven pathway-based therapies have been developed in line with the precision medicine paradigm. Multi-omics data integrated in SB network approaches will help detect and chart AD upstream pathomechanistic alterations and downstream molecular effects occurring in preclinical stages. Finally, integrating omics and neuroimaging data - i.e., neuroimaging-omics - will identify multi-dimensional biological signatures essential to track the clinical-biological trajectories, at the subpopulation or even individual level.
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21
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Jiang Y, Zhou X, Ip FC, Chan P, Chen Y, Lai NCH, Cheung K, Lo RMN, Tong EPS, Wong BWY, Chan ALT, Mok VCT, Kwok TCY, Mok KY, Hardy J, Zetterberg H, Fu AKY, Ip NY. Large-scale plasma proteomic profiling identifies a high-performance biomarker panel for Alzheimer's disease screening and staging. Alzheimers Dement 2021; 18:88-102. [PMID: 34032364 PMCID: PMC9292367 DOI: 10.1002/alz.12369] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 03/29/2021] [Accepted: 04/05/2021] [Indexed: 12/18/2022]
Abstract
Introduction Blood proteins are emerging as candidate biomarkers for Alzheimer's disease (AD). We systematically profiled the plasma proteome to identify novel AD blood biomarkers and develop a high‐performance, blood‐based test for AD. Methods We quantified 1160 plasma proteins in a Hong Kong Chinese cohort by high‐throughput proximity extension assay and validated the results in an independent cohort. In subgroup analyses, plasma biomarkers for amyloid, tau, phosphorylated tau, and neurodegeneration were used as endophenotypes of AD. Results We identified 429 proteins that were dysregulated in AD plasma. We selected 19 “hub proteins” representative of the AD plasma protein profile, which formed the basis of a scoring system that accurately classified clinical AD (area under the curve = 0.9690–0.9816) and associated endophenotypes. Moreover, specific hub proteins exhibit disease stage‐dependent dysregulation, which can delineate AD stages. Discussion This study comprehensively profiled the AD plasma proteome and serves as a foundation for a high‐performance, blood‐based test for clinical AD screening and staging.
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Affiliation(s)
- Yuanbing Jiang
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Xiaopu Zhou
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China.,Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development; Shenzhen-Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, China
| | - Fanny C Ip
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China.,Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development; Shenzhen-Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, China
| | - Philip Chan
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Yu Chen
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China.,Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development; Shenzhen-Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, China.,The Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Nicole C H Lai
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Kit Cheung
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Ronnie M N Lo
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Estella P S Tong
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Bonnie W Y Wong
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Andrew L T Chan
- Divisions of Neurology and Geriatrics, Department of Medicine, Queen Elizabeth Hospital, Hong Kong, China
| | - Vincent C T Mok
- Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Timothy C Y Kwok
- Therese Pei Fong Chow Research Centre for Prevention of Dementia, Division of Geriatrics, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Kin Y Mok
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - John Hardy
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Henrik Zetterberg
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Amy K Y Fu
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China.,Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development; Shenzhen-Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, China
| | - Nancy Y Ip
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China.,Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development; Shenzhen-Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, China
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22
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Chen M, Xia W. Proteomic Profiling of Plasma and Brain Tissue from Alzheimer's Disease Patients Reveals Candidate Network of Plasma Biomarkers. J Alzheimers Dis 2021; 76:349-368. [PMID: 32474469 DOI: 10.3233/jad-200110] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is the most prevalent form of dementia with two pathological hallmarks of tau-containing neurofibrillary tangles and amyloid-β protein (Aβ)-containing neuritic plaques. Although Aβ and tau have been explored as potential biomarkers, levels of these pathological proteins in blood fail to distinguish AD from healthy control subjects. OBJECTIVE We aim to discover potential plasma proteins associated with AD pathology by performing tandem mass tag (TMT)-based quantitative proteomic analysis of proteins from peripheral and central nervous system compartments. METHODS We performed comparative proteomic analyses of plasma collected from AD patients and cognitively normal subjects. In addition, proteomic profiles from the inferior frontal cortex, superior frontal cortex, and cerebellum of postmortem brain tissue from five AD patients and five non-AD controls were compared with plasma proteomic profiles to search for common biomarkers. Liquid chromatography-mass spectrometry was used to analyze plasma and brain tissue labeled with isobaric TMT for relative protein quantification. RESULTS Our results showed that the proteins in complement coagulation cascade and interleukin-6 signaling were significantly altered in both plasma and brains of AD patients. CONCLUSION Our results demonstrate the relevance in immune responses between the peripheral and central nervous systems. Those differentially regulated plasma proteins are explored as candidate biomarker profiles that illustrate chronic neuroinflammation in brains of AD patients.
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Affiliation(s)
- Mei Chen
- Geriatric Research Education Clinical Center, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, USA
| | - Weiming Xia
- Geriatric Research Education Clinical Center, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, USA.,Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA
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23
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Neuroinflammation in Alzheimer's Disease. Biomedicines 2021; 9:biomedicines9050524. [PMID: 34067173 PMCID: PMC8150909 DOI: 10.3390/biomedicines9050524] [Citation(s) in RCA: 112] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/20/2021] [Accepted: 04/28/2021] [Indexed: 12/18/2022] Open
Abstract
Alzheimer’s disease (AD) is a neurodegenerative disease associated with human aging. Ten percent of individuals over 65 years have AD and its prevalence continues to rise with increasing age. There are currently no effective disease modifying treatments for AD, resulting in increasingly large socioeconomic and personal costs. Increasing age is associated with an increase in low-grade chronic inflammation (inflammaging) that may contribute to the neurodegenerative process in AD. Although the exact mechanisms remain unclear, aberrant elevation of reactive oxygen and nitrogen species (RONS) levels from several endogenous and exogenous processes in the brain may not only affect cell signaling, but also trigger cellular senescence, inflammation, and pyroptosis. Moreover, a compromised immune privilege of the brain that allows the infiltration of peripheral immune cells and infectious agents may play a role. Additionally, meta-inflammation as well as gut microbiota dysbiosis may drive the neuroinflammatory process. Considering that inflammatory/immune pathways are dysregulated in parallel with cognitive dysfunction in AD, elucidating the relationship between the central nervous system and the immune system may facilitate the development of a safe and effective therapy for AD. We discuss some current ideas on processes in inflammaging that appear to drive the neurodegenerative process in AD and summarize details on a few immunomodulatory strategies being developed to selectively target the detrimental aspects of neuroinflammation without affecting defense mechanisms against pathogens and tissue damage.
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Nitsch L, Schneider L, Zimmermann J, Müller M. Microglia-Derived Interleukin 23: A Crucial Cytokine in Alzheimer's Disease? Front Neurol 2021; 12:639353. [PMID: 33897596 PMCID: PMC8058463 DOI: 10.3389/fneur.2021.639353] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 03/15/2021] [Indexed: 01/26/2023] Open
Abstract
Neuronal cell death, amyloid β plaque formation and development of neurofibrillary tangles are among the characteristics of Alzheimer's disease (AD). In addition to neurodegeneration, inflammatory processes such as activation of microglia and astrocytes are crucial in the pathogenesis and progression of AD. Cytokines are essential immune mediators of the immune response in AD. Recent data suggest a role of interleukin 23 (IL-23) and its p40 subunit in the pathogenesis of AD and corresponding animal models, in particular concerning microglia activation and amyloid β plaque formation. Moreover, in animal models, the injection of anti-p40 antibodies resulted in reduced amyloid β plaque formation and improved cognitive performance. Here, we discuss the pathomechanism of IL-23 mediated inflammation and its role in AD.
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Affiliation(s)
- Louisa Nitsch
- Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Linda Schneider
- Department of Surgery, University Hospital Bonn, Bonn, Germany
| | | | - Marcus Müller
- Department of Neurology, University Hospital Bonn, Bonn, Germany
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25
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Gorny N, Kelly MP. Alterations in cyclic nucleotide signaling are implicated in healthy aging and age-related pathologies of the brain. VITAMINS AND HORMONES 2021; 115:265-316. [PMID: 33706951 DOI: 10.1016/bs.vh.2020.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
It is not only important to consider how hormones may change with age, but also how downstream signaling pathways that couple to hormone receptors may change. Among these hormone-coupled signaling pathways are the 3',5'-cyclic guanosine monophosphate (cGMP) and 3',5'-cyclic adenosine monophosphate (cAMP) intracellular second messenger cascades. Here, we test the hypothesis that dysfunction of cAMP and/or cGMP synthesis, execution, and/or degradation occurs in the brain during healthy and pathological diseases such as Alzheimer's disease, Parkinson's disease, and Huntington's disease. Although most studies report lower cyclic nucleotide signaling in the aged brain, with further reductions noted in the context of age-related diseases, there are select examples where cAMP signaling may be elevated in select tissues. Thus, therapeutics would need to target cAMP/cGMP in a tissue-specific manner if efficacy for select symptoms is to be achieved without worsening others.
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Affiliation(s)
- Nicole Gorny
- Department of Anatomy & Neurobiology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Michy P Kelly
- Department of Anatomy & Neurobiology, University of Maryland School of Medicine, Baltimore, MD, United States.
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Khan MJ, Desaire H, Lopez OL, Kamboh MI, Robinson RA. Why Inclusion Matters for Alzheimer’s Disease Biomarker Discovery in Plasma. J Alzheimers Dis 2021; 79:1327-1344. [DOI: 10.3233/jad-201318] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Background: African American/Black adults have a disproportionate incidence of Alzheimer’s disease (AD) and are underrepresented in biomarker discovery efforts. Objective: This study aimed to identify potential diagnostic biomarkers for AD using a combination of proteomics and machine learning approaches in a cohort that included African American/Black adults. Methods: We conducted a discovery-based plasma proteomics study on plasma samples (N = 113) obtained from clinically diagnosed AD and cognitively normal adults that were self-reported African American/Black or non-Hispanic White. Sets of differentially-expressed proteins were then classified using a support vector machine (SVM) to identify biomarker candidates. Results: In total, 740 proteins were identified of which, 25 differentially-expressed proteins in AD came from comparisons within a single racial and ethnic background group. Six proteins were differentially-expressed in AD regardless of racial and ethnic background. Supervised classification by SVM yielded an area under the curve (AUC) of 0.91 and accuracy of 86%for differentiating AD in samples from non-Hispanic White adults when trained with differentially-expressed proteins unique to that group. However, the same model yielded an AUC of 0.49 and accuracy of 47%for differentiating AD in samples from African American/Black adults. Other covariates such as age, APOE4 status, sex, and years of education were found to improve the model mostly in the samples from non-Hispanic White adults for classifying AD. Conclusion: These results demonstrate the importance of study designs in AD biomarker discovery, which must include diverse racial and ethnic groups such as African American/Black adults to develop effective biomarkers.
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Affiliation(s)
- Mostafa J. Khan
- Department of Chemistry, Vanderbilt University, Nashville, TN, USA
| | - Heather Desaire
- Department of Chemistry, University of Kansas, Lawrence, KS, USA
| | - Oscar L. Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - M. Ilyas Kamboh
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Renã A.S. Robinson
- Department of Chemistry, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
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27
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Amin M, Tang S, Shalamanova L, Taylor RL, Wylie S, Abdullah BM, Whitehead KA. Polyamine biomarkers as indicators of human disease. Biomarkers 2021; 26:77-94. [PMID: 33439737 DOI: 10.1080/1354750x.2021.1875506] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
The significant increase of periodontitis, chronic kidney disease (CKD), Alzheimer's disease and cancer can be attributed to an ageing population. Each disease produces a range of biomarkers that can be indicative of disease onset and progression. Biomarkers are defined as cellular (intra/extracellular components and whole cells), biochemical (metabolites, ions and toxins) or molecular (nucleic acids, proteins and lipids) alterations which are measurable in biological media such as human tissues, cells or fluids. An interesting group of biomarkers that merit further investigation are the polyamines. Polyamines are a group of molecules consisting of cadaverine, putrescine, spermine and spermidine and have been implicated in the development of a range of systemic diseases, in part due to their production in periodontitis. Cadaverine and putrescine within the periodontal environment have demonstrated cell signalling interfering abilities, by way of leukocyte migration disruption. The polyamines spermine and spermidine in tumour cells have been shown to inhibit cellular apoptosis, effectively prolonging tumorigenesis and continuation of cancer within the host. Polyamine degradation products such as acrolein have been shown to exacerbate renal damage in CKD patients. Thus, the use of such molecules has merit to be utilized in the early indication of such diseases in patients.
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Affiliation(s)
- Mohsin Amin
- Microbiology at Interfaces, Manchester Metropolitan University, Manchester, UK.,Department of Engineering and Technology, Built Environment, Liverpool John Moores University, Liverpool, UK
| | - Shiying Tang
- Microbiology at Interfaces, Manchester Metropolitan University, Manchester, UK.,Department of Life Sciences, Manchester Metropolitan University, Manchester, UK
| | - Liliana Shalamanova
- Department of Life Sciences, Manchester Metropolitan University, Manchester, UK
| | - Rebecca L Taylor
- Department of Life Sciences, Manchester Metropolitan University, Manchester, UK
| | - Stephen Wylie
- Department of Engineering and Technology, Civil Engineering, Liverpool John Moores University, Liverpool, UK
| | - Badr M Abdullah
- Department of Engineering and Technology, Built Environment, Liverpool John Moores University, Liverpool, UK
| | - Kathryn A Whitehead
- Microbiology at Interfaces, Manchester Metropolitan University, Manchester, UK.,Department of Life Sciences, Manchester Metropolitan University, Manchester, UK
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Akkus G, Seyithanoglu M, Akkus H, Ulu S, Ciftcioglu M, Erken E, Altunoren O, Gungor O. Serum NT-proBNP levels are associated with cognitive functions in hemodialysis patients. Semin Dial 2021; 34:170-175. [PMID: 33423325 DOI: 10.1111/sdi.12948] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 11/16/2020] [Accepted: 12/08/2020] [Indexed: 12/13/2022]
Abstract
It has been demonstrated that NT-proBNP and macrophage inhibitor cytokine-1 (MIC-1/GDF-15) are associated with cognitive functions in patients without renal disease. In the present study, we examined the association of these two molecules with cognitive functions in hemodialysis patients for the first time in the literature. A total of 94 patients were enrolled. The Mini-Mental Test and the Montreal Cognitive Assessment Test (MoCA) were applied for the purpose of measuring the cognitive functions. The NT-proBNP and MIC-1/GDF-15 levels were examined with the ELISA. The mean age of the patients was 48 ± 12; 58 (61.7%) of them were male and 21.3% were diabetic. We found that in 77% of patients have impaired cognitive functions (MoCA total score <24). The NT-proBNP level had a significant and negative correlation with the MoCA Test Delayed Recall and Total Score. When the patients were divided into two groups according to NT-proBNP levels (above 10.500 and below), it was observed that the Mini-Mental Test Record Memory, MoCA Test Delayed Recall, and MoCA test total scores were significantly different from each other. In the present study, we show, for the first time in the literature, that NT-proBNP levels are associated with cognitive functions in dialysis patients.
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Affiliation(s)
- Gulsum Akkus
- Nephrology Department, Faculty of Medicine, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey
| | - Muhammed Seyithanoglu
- Biochemistry Department, Faculty of Medicine, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey
| | - Hadi Akkus
- Oncology Department, Ankara Oncology Training and Research Hospital, Ankara, Turkey
| | - Sena Ulu
- Nephrology Department, Faculty of Medicine, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Muhammed Ciftcioglu
- Nephrology Department, Faculty of Medicine, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey
| | - Ertugrul Erken
- Nephrology Department, Faculty of Medicine, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey
| | - Orcun Altunoren
- Nephrology Department, Faculty of Medicine, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey
| | - Ozkan Gungor
- Nephrology Department, Faculty of Medicine, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey
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Nangare S, Patil P. Nanoarchitectured Bioconjugates and Bioreceptors Mediated Surface Plasmon Resonance Biosensor for In Vitro Diagnosis of Alzheimer’s Disease: Development and Future Prospects. Crit Rev Anal Chem 2021; 52:1139-1169. [DOI: 10.1080/10408347.2020.1864716] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Sopan Nangare
- Department of Pharmaceutical Chemistry, H. R. Patel Institute of Pharmaceutical Education and Research, Shirpur, India
| | - Pravin Patil
- Department of Pharmaceutical Chemistry, H. R. Patel Institute of Pharmaceutical Education and Research, Shirpur, India
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30
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Park JK, Lee KJ, Kim JY, Kim H. The Association of Blood-Based Inflammatory Factors IL-1β, TGF-β and CRP with Cognitive Function in Alzheimer's Disease and Mild Cognitive Impairment. Psychiatry Investig 2021; 18:11-18. [PMID: 33561929 PMCID: PMC7897864 DOI: 10.30773/pi.2020.0205] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/23/2020] [Accepted: 09/01/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE Many patients suffer from dementia in its most common form, Alzheimer's disease (AD). In this study, the levels of IL-1β, TGF-β and CRP, which are involved in the inflammatory response in Alzheimer's disease and its mild cognitive impairment (MCI), were measured and analyzed. METHODS Seventy nine subjects participated in this study (mean age: 75.56 years, female: 54.3%, AD: 26, MCI: 28, normal: 25). The overall cognitive function of the subjects and the severity of the disease stage were assessed using the Mini-Mental State Examination (MMSE-K), the Clinical Dementia Rating (CDR), the Global Deterioration Scale (GDS) and the Geriatric Depression Scale-Korean (GDS-K). RESULTS It was observed that patients with AD had significantly higher levels of IL-1β and TGF-β than the patients with MCI and normal controls. In addition, the MCI group showed a statistically significantly higher TGF-β concentration than the normal group. CONCLUSION These results suggest that IL-1β and TGF-β may be useful biological markers for patients with Alzheimer's disease.
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Affiliation(s)
- Jun Kyung Park
- Department of Psychiatry, College of Medicine, Inje University, Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Kang Joon Lee
- Department of Psychiatry, College of Medicine, Inje University, Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Ji Yeon Kim
- Department of Anesthesiology and Pain Medicine, College of Medicine, Inje University, Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Hyun Kim
- Department of Psychiatry, College of Medicine, Inje University, Ilsan Paik Hospital, Goyang, Republic of Korea
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31
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Diniz Pereira J, Gomes Fraga V, Morais Santos AL, Carvalho MDG, Caramelli P, Braga Gomes K. Alzheimer's disease and type 2 diabetes mellitus: A systematic review of proteomic studies. J Neurochem 2020; 156:753-776. [PMID: 32909269 DOI: 10.1111/jnc.15166] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 07/15/2020] [Accepted: 08/25/2020] [Indexed: 12/16/2022]
Abstract
Similar to dementia, the risk for developing type 2 diabetes mellitus (T2DM) increases with age, and T2DM also increases the risk for dementia, particularly Alzheimer's disease (AD). Although T2DM is primarily a peripheral disorder and AD is a central nervous system disease, both share some common features as they are chronic and complex diseases, and both show involvement of oxidative stress and inflammation in their progression. These characteristics suggest that T2DM may be associated with AD, which gave rise to a new term, type 3 diabetes (T3DM). In this study, we searched for matching peripheral proteomic biomarkers of AD and T2DM based in a systematic review of the available literature. We identified 17 common biomarkers that were differentially expressed in both patients with AD or T2DM when compared with healthy controls. These biomarkers could provide a useful workflow for screening T2DM patients at risk to develop AD.
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Affiliation(s)
- Jessica Diniz Pereira
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Vanessa Gomes Fraga
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Anna Luiza Morais Santos
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Maria das Graças Carvalho
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Paulo Caramelli
- Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Karina Braga Gomes
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
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32
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Duarte-Guterman P, Albert AY, Inkster AM, Barha CK, Galea LAM. Inflammation in Alzheimer's Disease: Do Sex and APOE Matter? J Alzheimers Dis 2020; 78:627-641. [PMID: 33016923 DOI: 10.3233/jad-200982] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) disproportionately affects females with steeper cognitive decline and more neuropathology compared to males, which is exacerbated in females carrying the APOEɛ4 allele. The risk of developing AD is also higher in female APOEɛ4 carriers in earlier age groups (aged 65-75), and the progression from cognitively normal to mild cognitive impairment (MCI) and to AD may be influenced by sex. Inflammation is observed in AD and is related to aging, stress, and neuroplasticity, and although studies are scarce, sex differences are noted in inflammation. OBJECTIVE The objective of this study was to investigate underlying physiological inflammatory mechanisms that may help explain why there are sex differences in AD and APOEɛ4 carriers. METHODS We investigated, using the ADNI database, the effect of sex and APOE genotype (non-carriers or carriers of 1 and 2 APOEɛ4 alleles) and sex and diagnosis (cognitively normal (CN), MCI, AD) on CSF (N = 279) and plasma (N = 527) markers of stress and inflammation. RESULTS We found CSF IL-16 and IL-8 levels differed by sex and APOE genotype, as IL-16 was higher in female APOEɛ4 carriers compared to non-carriers, while the opposite pattern was observed in males with IL-8. Furthermore, females had on average higher levels of plasma CRP and ICAM1 but lower levels of CSF ICAM1, IL-8, IL-16, and IgA than males. Carrying APOEɛ4 alleles and diagnosis (MCI and AD) decreased plasma CRP in both sexes. CONCLUSION Sex and APOE genotype differences in CSF and plasma inflammatory biomarkers support that the underlying physiological changes during aging differ by sex and tissue origin.
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Affiliation(s)
- Paula Duarte-Guterman
- Djavad Mowafaghian Centre for Brain Health and Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Arianne Y Albert
- Women's Health Research Institute of British Columbia, Vancouver, BC, Canada
| | - Amy M Inkster
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.,BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Cindy K Barha
- Djavad Mowafaghian Centre for Brain Health and Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
| | - Liisa A M Galea
- Djavad Mowafaghian Centre for Brain Health and Department of Psychology, University of British Columbia, Vancouver, BC, Canada
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Poon CH, Wang Y, Fung ML, Zhang C, Lim LW. Rodent Models of Amyloid-Beta Feature of Alzheimer's Disease: Development and Potential Treatment Implications. Aging Dis 2020; 11:1235-1259. [PMID: 33014535 PMCID: PMC7505263 DOI: 10.14336/ad.2019.1026] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 10/26/2019] [Indexed: 12/14/2022] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder worldwide and causes severe financial and social burdens. Despite much research on the pathogenesis of AD, the neuropathological mechanisms remain obscure and current treatments have proven ineffective. In the past decades, transgenic rodent models have been used to try to unravel this disease, which is crucial for early diagnosis and the assessment of disease-modifying compounds. In this review, we focus on transgenic rodent models used to study amyloid-beta pathology in AD. We also discuss their possible use as promising tools for AD research. There is still no effective treatment for AD and the development of potent therapeutics are urgently needed. Many molecular pathways are susceptible to AD, ranging from neuroinflammation, immune response, and neuroplasticity to neurotrophic factors. Studying these pathways may shed light on AD pathophysiology as well as provide potential targets for the development of more effective treatments. This review discusses the advantages and limitations of these models and their potential therapeutic implications for AD.
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Affiliation(s)
- Chi Him Poon
- 1School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yingyi Wang
- 1School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Man-Lung Fung
- 1School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chengfei Zhang
- 2Endodontology, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China
| | - Lee Wei Lim
- 1School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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Xu J, Bankov G, Kim M, Wretlind A, Lord J, Green R, Hodges A, Hye A, Aarsland D, Velayudhan L, Dobson RJB, Proitsi P, Legido-Quigley C. Integrated lipidomics and proteomics network analysis highlights lipid and immunity pathways associated with Alzheimer's disease. Transl Neurodegener 2020; 9:36. [PMID: 32951606 PMCID: PMC7504646 DOI: 10.1186/s40035-020-00215-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 08/18/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND There is an urgent need to understand the pathways and processes underlying Alzheimer's disease (AD) for early diagnosis and development of effective treatments. This study was aimed to investigate Alzheimer's dementia using an unsupervised lipid, protein and gene multi-omics integrative approach. METHODS A lipidomics dataset comprising 185 AD patients, 40 mild cognitive impairment (MCI) individuals and 185 controls, and two proteomics datasets (295 AD, 159 MCI and 197 controls) were used for weighted gene co-expression network analyses (WGCNA). Correlations of modules created within each modality with clinical AD diagnosis, brain atrophy measures and disease progression, as well as their correlations with each other, were analyzed. Gene ontology enrichment analysis was employed to examine the biological processes and molecular and cellular functions of protein modules associated with AD phenotypes. Lipid species were annotated in the lipid modules associated with AD phenotypes. The associations between established AD risk loci and the lipid/protein modules that showed high correlation with AD phenotypes were also explored. RESULTS Five of the 20 identified lipid modules and five of the 17 identified protein modules were correlated with clinical AD diagnosis, brain atrophy measures and disease progression. The lipid modules comprising phospholipids, triglycerides, sphingolipids and cholesterol esters were correlated with AD risk loci involved in immune response and lipid metabolism. The five protein modules involved in positive regulation of cytokine production, neutrophil-mediated immunity, and humoral immune responses were correlated with AD risk loci involved in immune and complement systems and in lipid metabolism (the APOE ε4 genotype). CONCLUSIONS Modules of tightly regulated lipids and proteins, drivers in lipid homeostasis and innate immunity, are strongly associated with AD phenotypes.
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Affiliation(s)
- Jin Xu
- Institute of Pharmaceutical Science, King's College London, London, UK
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Giulia Bankov
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Min Kim
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | | | - Jodie Lord
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Rebecca Green
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Angela Hodges
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Abdul Hye
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Dag Aarsland
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Center for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Latha Velayudhan
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Richard J B Dobson
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Petroula Proitsi
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Cristina Legido-Quigley
- Institute of Pharmaceutical Science, King's College London, London, UK.
- Steno Diabetes Center Copenhagen, Gentofte, Denmark.
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35
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Hendrickx JO, van Gastel J, Leysen H, Martin B, Maudsley S. High-dimensionality Data Analysis of Pharmacological Systems Associated with Complex Diseases. Pharmacol Rev 2020; 72:191-217. [PMID: 31843941 DOI: 10.1124/pr.119.017921] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
It is widely accepted that molecular reductionist views of highly complex human physiologic activity, e.g., the aging process, as well as therapeutic drug efficacy are largely oversimplifications. Currently some of the most effective appreciation of biologic disease and drug response complexity is achieved using high-dimensionality (H-D) data streams from transcriptomic, proteomic, metabolomics, or epigenomic pipelines. Multiple H-D data sets are now common and freely accessible for complex diseases such as metabolic syndrome, cardiovascular disease, and neurodegenerative conditions such as Alzheimer's disease. Over the last decade our ability to interrogate these high-dimensionality data streams has been profoundly enhanced through the development and implementation of highly effective bioinformatic platforms. Employing these computational approaches to understand the complexity of age-related diseases provides a facile mechanism to then synergize this pathologic appreciation with a similar level of understanding of therapeutic-mediated signaling. For informative pathology and drug-based analytics that are able to generate meaningful therapeutic insight across diverse data streams, novel informatics processes such as latent semantic indexing and topological data analyses will likely be important. Elucidation of H-D molecular disease signatures from diverse data streams will likely generate and refine new therapeutic strategies that will be designed with a cognizance of a realistic appreciation of the complexity of human age-related disease and drug effects. We contend that informatic platforms should be synergistic with more advanced chemical/drug and phenotypic cellular/tissue-based analytical predictive models to assist in either de novo drug prioritization or effective repurposing for the intervention of aging-related diseases. SIGNIFICANCE STATEMENT: All diseases, as well as pharmacological mechanisms, are far more complex than previously thought a decade ago. With the advent of commonplace access to technologies that produce large volumes of high-dimensionality data (e.g., transcriptomics, proteomics, metabolomics), it is now imperative that effective tools to appreciate this highly nuanced data are developed. Being able to appreciate the subtleties of high-dimensionality data will allow molecular pharmacologists to develop the most effective multidimensional therapeutics with effectively engineered efficacy profiles.
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Affiliation(s)
- Jhana O Hendrickx
- Receptor Biology Laboratory, Department of Biomedical Research (J.O.H., J.v.G., H.L., S.M.) and Faculty of Pharmacy, Biomedical and Veterinary Sciences (J.O.H., J.v.G., H.L., B.M., S.M.), University of Antwerp, Antwerp, Belgium
| | - Jaana van Gastel
- Receptor Biology Laboratory, Department of Biomedical Research (J.O.H., J.v.G., H.L., S.M.) and Faculty of Pharmacy, Biomedical and Veterinary Sciences (J.O.H., J.v.G., H.L., B.M., S.M.), University of Antwerp, Antwerp, Belgium
| | - Hanne Leysen
- Receptor Biology Laboratory, Department of Biomedical Research (J.O.H., J.v.G., H.L., S.M.) and Faculty of Pharmacy, Biomedical and Veterinary Sciences (J.O.H., J.v.G., H.L., B.M., S.M.), University of Antwerp, Antwerp, Belgium
| | - Bronwen Martin
- Receptor Biology Laboratory, Department of Biomedical Research (J.O.H., J.v.G., H.L., S.M.) and Faculty of Pharmacy, Biomedical and Veterinary Sciences (J.O.H., J.v.G., H.L., B.M., S.M.), University of Antwerp, Antwerp, Belgium
| | - Stuart Maudsley
- Receptor Biology Laboratory, Department of Biomedical Research (J.O.H., J.v.G., H.L., S.M.) and Faculty of Pharmacy, Biomedical and Veterinary Sciences (J.O.H., J.v.G., H.L., B.M., S.M.), University of Antwerp, Antwerp, Belgium
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Maximus PS, Al Achkar Z, Hamid PF, Hasnain SS, Peralta CA. Adipocytokines: Are they the Theory of Everything? Cytokine 2020; 133:155144. [PMID: 32559663 PMCID: PMC7297161 DOI: 10.1016/j.cyto.2020.155144] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 05/08/2020] [Accepted: 05/21/2020] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Adipose tissue secretes various bioactive peptides/proteins, immune molecules and inflammatory mediators which are known as adipokines or adipocytokines. Adipokines play important roles in the maintenance of energy homeostasis, appetite, glucose and lipid metabolism, insulin sensitivity, angiogenesis, immunity and inflammation. Enormous number of studies from all over the world proved that adipocytokines are involved in the pathogenesis of diseases affecting nearly all body systems, which raises the question whether we can always blame adipocytokines as the triggering factor of every disease that may hit the body. OBJECTIVE Our review targeted the role played by adipocytokines in the pathogenesis of different diseases affecting different body systems including diabetes mellitus, kidney diseases, gynecological diseases, rheumatologic disorders, cancers, Alzheimer's, depression, muscle disorders, liver diseases, cardiovascular and lung diseases. METHODOLOGY We cited more than 33 recent literature reviews that discussed the role played by adipocytokines in the pathogenesis of different diseases affecting different body systems. CONCLUSION More evidence is being discovered to date about the role played by adipocytokines in more diseases and extra research is needed to explore hidden roles played by adipokine imbalance on disease pathogenesis.
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Affiliation(s)
- Pierre S Maximus
- California Institute of Behavioral Neurosciences and Psychology, United States.
| | - Zeina Al Achkar
- California Institute of Behavioral Neurosciences and Psychology, United States
| | - Pousette F Hamid
- California Institute of Behavioral Neurosciences and Psychology, United States
| | - Syeda S Hasnain
- California Institute of Behavioral Neurosciences and Psychology, United States
| | - Cesar A Peralta
- California Institute of Behavioral Neurosciences and Psychology, United States
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Edison P. Neuroinflammation, microglial activation, and glucose metabolism in neurodegenerative diseases. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2020; 154:325-344. [PMID: 32739010 DOI: 10.1016/bs.irn.2020.03.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Alzheimer's disease is characterized by aggregated amyloid beta plaques and neurofibrillary tangles. Apart from the plaques and tangles, microglial activation plays a significant role in neurodegeneration and neuronal function. This review discusses the way in which microglial activation influences neurodegeneration and how systemic inflammation, type 2 diabetes mellitus, obesity and hypercholesterolemia influence neuroinflammation. Also reviewed is how systemic inflammation influences microglial activation along with the relationship between microglial activation and glucose metabolism.
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Affiliation(s)
- Paul Edison
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom; Cardiff University, Cardiff, United Kingdom.
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Gallo G, Bianchi F, Cotugno M, Volpe M, Rubattu S. Natriuretic Peptides, Cognitive Impairment and Dementia: An Intriguing Pathogenic Link with Implications in Hypertension. J Clin Med 2020; 9:jcm9072265. [PMID: 32708758 PMCID: PMC7408839 DOI: 10.3390/jcm9072265] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 06/30/2020] [Accepted: 07/15/2020] [Indexed: 12/11/2022] Open
Abstract
The natriuretic peptides (NPs) belong to a family of cardiac hormones that exert relevant protective functions within the cardiovascular system. An increase of both brain and atrial natriuretic peptide levels, particularly of the amino-terminal peptides (NT-proBNP and NT-proANP), represents a marker of cardiovascular damage. A link between increased NP levels and cognitive decline and dementia has been reported in several human studies performed both in general populations and in cohorts of patients affected by cardiovascular diseases (CVDs). In particular, it was reported that the elevation of NP levels in dementia can be both dependent and independent from CVD risk factors. In the first case, it may be expected that, by counteracting early on the cardiovascular risk factor load and the pathological processes leading to increased aminoterminal natriuretic peptide (NT-proNP) level, the risk of dementia could be significantly reduced. In case of a link independent from CVD risk factors, an increased NP level should be considered as a direct marker of neuronal damage. In the context of hypertension, elevated NT-proBNP and mid-regional (MR)-proANP levels behave as markers of brain microcirculatory damage and dysfunction. The available evidence suggests that they could help in identifying those subjects who would benefit most from a timely antihypertensive therapy.
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Affiliation(s)
- Giovanna Gallo
- Department of Clinical and Molecular Medicine, School of Medicine and Psychology, Sapienza University of Rome, 00189 Rome, Italy; (G.G.); (M.V.)
| | - Franca Bianchi
- IRCCS Neuromed, 86077 Pozzilli (Isernia), Italy; (F.B.); (M.C.)
| | - Maria Cotugno
- IRCCS Neuromed, 86077 Pozzilli (Isernia), Italy; (F.B.); (M.C.)
| | - Massimo Volpe
- Department of Clinical and Molecular Medicine, School of Medicine and Psychology, Sapienza University of Rome, 00189 Rome, Italy; (G.G.); (M.V.)
- IRCCS Neuromed, 86077 Pozzilli (Isernia), Italy; (F.B.); (M.C.)
| | - Speranza Rubattu
- Department of Clinical and Molecular Medicine, School of Medicine and Psychology, Sapienza University of Rome, 00189 Rome, Italy; (G.G.); (M.V.)
- IRCCS Neuromed, 86077 Pozzilli (Isernia), Italy; (F.B.); (M.C.)
- Correspondence:
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Yang H, Gu S, Wu Y, Jiang Y, Zhao J, Cheng Z. Plasma Protein Panels for Mild Cognitive Impairment Among Elderly Chinese Individuals with Different Educational Backgrounds. J Mol Neurosci 2020; 70:1629-1638. [PMID: 32662047 DOI: 10.1007/s12031-020-01659-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 07/03/2020] [Indexed: 12/14/2022]
Abstract
To explore plasma protein panels as potential biomarkers to screen for mild cognitive impairment (MCI) among elderly Chinese individuals with different educational backgrounds. Forty-four illiterate, 36 lower education (1-6 years), and 55 higher education (7 years or more) elderly individuals were included in the present study. Among all subjects, 67 were healthy individuals and 68 were diagnosed with MCI. Fifty plasma proteins in blood samples collected from these subjects were analyzed via the Luminex assay. Binary logistic regression was utilized to explore diagnostic models for MCI among the three educational subgroups. Then, receiver operating characteristic (ROC) curves were conducted for the clinical validity of the MCI models. Among the analyzed proteins, clusterin was used in the model of MCI among the total sample with a sensitivity (se) of 67.6%, a specificity (sp) of 59.7%, and a classification rate of 63.68%. The MCI model for the illiterate group included cystatin C, plasminogen activator inhibitor-1, and apolipoprotein A-I (se: 71.4%, sp.: 82.6%, accuracy: 77.25%). The sensitivity, specificity, and classification rate of the diagnostic model of MCI in elderly adults with lower education (human serum albumin) were each 75.0%. Additionally, the sensitivity, specificity, and accuracy rate of the diagnostic model for MCI elderly individuals with higher education (alpha-acid glycoprotein + soluble intercellular adhesion molecule-1 + pancreatic polypeptide) were 77.8%, 89.3%, and 83.60%, respectively. The performance of diagnostic models for MCI based on different educational levels is superior to that of diagnostic models for MCI without grouping by educational level.
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Affiliation(s)
- Hongyu Yang
- Wuxi Mental Health Center, Nanjing Medical University, No.156 Qianrong Road, Wuxi, Jiangsu Province, China
| | - Shouquan Gu
- Wuxi Mental Health Center, Nanjing Medical University, No.156 Qianrong Road, Wuxi, Jiangsu Province, China
| | - Yue Wu
- Wuxi Mental Health Center, Nanjing Medical University, No.156 Qianrong Road, Wuxi, Jiangsu Province, China
| | - Yan Jiang
- Wuxi Mental Health Center, Nanjing Medical University, No.156 Qianrong Road, Wuxi, Jiangsu Province, China
| | - Jinfa Zhao
- Graduate School, Wannan Medical College, No.22 Wenchang Road, Wuhu, Anhui Province, China
| | - Zaohuo Cheng
- Wuxi Mental Health Center, Nanjing Medical University, No.156 Qianrong Road, Wuxi, Jiangsu Province, China.
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Rehiman SH, Lim SM, Neoh CF, Majeed ABA, Chin AV, Tan MP, Kamaruzzaman SB, Ramasamy K. Proteomics as a reliable approach for discovery of blood-based Alzheimer's disease biomarkers: A systematic review and meta-analysis. Ageing Res Rev 2020; 60:101066. [PMID: 32294542 DOI: 10.1016/j.arr.2020.101066] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 04/03/2020] [Accepted: 04/03/2020] [Indexed: 02/08/2023]
Abstract
In order to gauge the impact of proteomics in discovery of Alzheimer's disease (AD) blood-based biomarkers, this study had systematically reviewed articles published between 1984-2019. Articles that fulfilled the inclusion criteria were assessed for risk of bias. A meta-analysis was performed for replicable candidate biomarkers (CB). Of the 1651 articles that were identified, 17 case-control and two cohort studies, as well as three combined case-control and longitudinal designs were shortlisted. A total of 207 AD and mild cognitive impairment (MCI) CB were discovered, with 48 reported in >2 studies. This review highlights six CB, namely alpha-2-macroglobulin (α2M)ps, pancreatic polypeptide (PP)ps, apolipoprotein A-1 (ApoA-1)ps, afaminp, insulin growth factor binding protein-2 (IGFBP-2)ps and fibrinogen-γ-chainp, all of which exhibited consistent pattern of regulation in >three independent cohorts. They are involved in AD pathogenesis via amyloid-beta (Aβ), neurofibrillary tangles, diabetes and cardiovascular diseases (CVD). Meta-analysis indicated that ApoA-1ps was significantly downregulated in AD (SMD = -1.52, 95% CI: -1.89, -1.16, p < 0.00001), with low inter-study heterogeneity (I2 = 0%, p = 0.59). α2Mps was significantly upregulated in AD (SMD = 0.83, 95% CI: 0.05, 1.62, p = 0.04), with moderate inter-study heterogeneity (I2 = 41%, p = 0.19). Both CB are involved in Aβ formation. These findings provide important insights into blood-based AD biomarkers discovery via proteomics.
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Sanders O, Rajagopal L. Phosphodiesterase Inhibitors for Alzheimer's Disease: A Systematic Review of Clinical Trials and Epidemiology with a Mechanistic Rationale. J Alzheimers Dis Rep 2020; 4:185-215. [PMID: 32715279 PMCID: PMC7369141 DOI: 10.3233/adr-200191] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/17/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Preclinical studies, clinical trials, and reviews suggest increasing 3',5'-cyclic adenosine monophosphate (cAMP) and 3',5'-cyclic guanosine monophosphate (cGMP) with phosphodiesterase inhibitors is disease-modifying in Alzheimer's disease (AD). cAMP/protein kinase A (PKA) and cGMP/protein kinase G (PKG) signaling are disrupted in AD. cAMP/PKA and cGMP/PKG activate cAMP response element binding protein (CREB). CREB binds mitochondrial and nuclear DNA, inducing synaptogenesis, memory, and neuronal survival gene (e.g., brain-derived neurotrophic factor) and peroxisome proliferator-activated receptor-γ coactivator-1α (PGC1α). cAMP/PKA and cGMP/PKG activate Sirtuin-1, which activates PGC1α. PGC1α induces mitochondrial biogenesis and antioxidant genes (e.g.,Nrf2) and represses BACE1. cAMP and cGMP inhibit BACE1-inducing NFκB and tau-phosphorylating GSK3β. OBJECTIVE AND METHODS We review efficacy-testing clinical trials, epidemiology, and meta-analyses to critically investigate whether phosphodiesteraseinhibitors prevent or treat AD. RESULTS Caffeine and cilostazol may lower AD risk. Denbufylline and sildenafil clinical trials are promising but preliminary and inconclusive. PF-04447943 and BI 409,306 are ineffective. Vinpocetine, cilostazol, and nicergoline trials are mixed. Deprenyl/selegiline trials show only short-term benefits. Broad-spectrum phosphodiesterase inhibitor propentofylline has been shown in five phase III trials to improve cognition, dementia severity, activities of daily living, and global assessment in mild-to-moderate AD patients on multiple scales, including the ADAS-Cogand the CIBIC-Plus in an 18-month phase III clinical trial. However, two books claimed based on a MedScape article an 18-month phase III trial failed, so propentofylline was discontinued. Now, propentofylline is used to treat canine cognitive dysfunction, which, like AD, involves age-associated wild-type Aβ deposition. CONCLUSION Phosphodiesterase inhibitors may prevent and treat AD.
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42
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Ahmad S, Milan MDC, Hansson O, Demirkan A, Agustin R, Sáez ME, Giagtzoglou N, Cabrera-Socorro A, Bakker MHM, Ramirez A, Hankemeier T, Stomrud E, Mattsson-Carlgren N, Scheltens P, van der Flier WM, Ikram MA, Malarstig A, Teunissen CE, Amin N, van Duijn CM. CDH6 and HAGH protein levels in plasma associate with Alzheimer's disease in APOE ε4 carriers. Sci Rep 2020; 10:8233. [PMID: 32427856 PMCID: PMC7237496 DOI: 10.1038/s41598-020-65038-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 04/24/2020] [Indexed: 02/06/2023] Open
Abstract
Many Alzheimer’s disease (AD) genes including Apolipoprotein E (APOE) are found to be expressed in blood-derived macrophages and thus may alter blood protein levels. We measured 91 neuro-proteins in plasma from 316 participants of the Rotterdam Study (incident AD = 161) using Proximity Extension Ligation assay. We studied the association of plasma proteins with AD in the overall sample and stratified by APOE. Findings from the Rotterdam study were replicated in 186 AD patients of the BioFINDER study. We further evaluated the correlation of these protein biomarkers with total tau (t-tau), phosphorylated tau (p-tau) and amyloid-beta (Aβ) 42 levels in cerebrospinal fluid (CSF) in the Amsterdam Dementia Cohort (N = 441). Finally, we conducted a genome-wide association study (GWAS) to identify the genetic variants determining the blood levels of AD-associated proteins. Plasma levels of the proteins, CDH6 (β = 0.638, P = 3.33 × 10−4) and HAGH (β = 0.481, P = 7.20 × 10−4), were significantly elevated in APOE ε4 carrier AD patients. The findings in the Rotterdam Study were replicated in the BioFINDER study for both CDH6 (β = 1.365, P = 3.97 × 10−3) and HAGH proteins (β = 0.506, P = 9.31 × 10−7) when comparing cases and controls in APOE ε4 carriers. In the CSF, CDH6 levels were positively correlated with t-tau and p-tau in the total sample as well as in APOE ε4 stratum (P < 1 × 10−3). The HAGH protein was not detected in CSF. GWAS of plasma CDH6 protein levels showed significant association with a cis-regulatory locus (rs111283466, P = 1.92 × 10−9). CDH6 protein is implicated in cell adhesion and synaptogenesis while HAGH protein is related to the oxidative stress pathway. Our findings suggest that these pathways may be altered during presymptomatic AD and that CDH6 and HAGH may be new blood-based biomarkers.
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Affiliation(s)
- Shahzad Ahmad
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
| | - Marta Del Campo Milan
- Neurochemistry laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Centers (AUMC), Vrije Universiteit, Amsterdam, The Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Ayse Demirkan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ruiz Agustin
- Research Center and Memory clinic Fundació ACE. Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Maria E Sáez
- Centro Andaluz de Estudios Bioinformáticos CAEBi, Sevilla, Spain
| | | | | | - Margot H M Bakker
- Discovery Research, AbbVie Deutschland GmbH & Co. KG, Knollstrasse, 67061, Ludwigshafen, Germany
| | - Alfredo Ramirez
- Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, 53127, Bonn, Germany.,Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, 50937, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), 53127, Bonn, Germany
| | - Thomas Hankemeier
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Erik Stomrud
- Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Philip Scheltens
- Alzheimer center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, UMC, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, UMC, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Anders Malarstig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Pfizer Worldwide R&D, Stockholm, Sweden
| | - Charlotte E Teunissen
- Neurochemistry laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Centers (AUMC), Vrije Universiteit, Amsterdam, The Netherlands
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. .,Nuffield Department of Population Health, Oxford University, Oxford, UK.
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Can dipeptidyl peptidase-4 inhibitors treat cognitive disorders? Pharmacol Ther 2020; 212:107559. [PMID: 32380197 DOI: 10.1016/j.pharmthera.2020.107559] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 04/24/2020] [Accepted: 04/29/2020] [Indexed: 12/13/2022]
Abstract
The linkage of neurodegenerative diseases with insulin resistance (IR) and type 2 diabetes mellitus (T2DM), including oxidative stress, mitochondrial dysfunction, excessive inflammatory responses and abnormal protein processing, and the correlation between cerebrovascular diseases and hyperglycemia has opened a new window for novel therapeutics for these cognitive disorders. Various antidiabetic agents have been studied for their potential treatment of cognitive disorders, among which the dipeptidyl peptidase-4 (DPP-4) inhibitors have been investigated more recently. So far, DPP-4 inhibitors have demonstrated neuroprotection and cognitive improvements in animal models, and cognitive benefits in diabetic patients with or without cognitive impairments. This review aims to summarize the potential mechanisms, advantages and limitations, and currently available evidence for developing DPP-4 inhibitors as a treatment of cognitive disorders.
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44
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Brazaca LC, Sampaio I, Zucolotto V, Janegitz BC. Applications of biosensors in Alzheimer's disease diagnosis. Talanta 2020; 210:120644. [DOI: 10.1016/j.talanta.2019.120644] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 12/10/2019] [Accepted: 12/11/2019] [Indexed: 01/01/2023]
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45
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Hu WT, Wharton W, Ozturk T, Howell JC. Caution on plasma cytokine findings in 2019 novel coronavirus cases. SSRN 2020:3555849. [PMID: 32714107 PMCID: PMC7366808 DOI: 10.2139/ssrn.3555849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 03/19/2020] [Indexed: 11/16/2022]
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46
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Eede P, Obst J, Benke E, Yvon-Durocher G, Richard BC, Gimber N, Schmoranzer J, Böddrich A, Wanker EE, Prokop S, Heppner FL. Interleukin-12/23 deficiency differentially affects pathology in male and female Alzheimer's disease-like mice. EMBO Rep 2020; 21:e48530. [PMID: 32003148 PMCID: PMC7054677 DOI: 10.15252/embr.201948530] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 12/19/2019] [Accepted: 01/08/2020] [Indexed: 12/30/2022] Open
Abstract
Pathological aggregation of amyloid‐β (Aβ) is a main hallmark of Alzheimer's disease (AD). Recent genetic association studies have linked innate immune system actions to AD development, and current evidence suggests profound gender differences in AD pathogenesis. Here, we characterise gender‐specific pathologies in the APP23 AD‐like mouse model and find that female mice show stronger amyloidosis and astrogliosis compared with male mice. We tested the gender‐specific effect of lack of IL12p40, the shared subunit of interleukin (IL)‐12 and IL‐23, that we previously reported to ameliorate pathology in APPPS1 mice. IL12p40 deficiency gender specifically reduces Aβ plaque burden in male APP23 mice, while in female mice, a significant reduction in soluble Aβ1–40 without changes in Aβ plaque burden is seen. Similarly, plasma and brain cytokine levels are altered differently in female versus male APP23 mice lacking IL12p40, while glial properties are unchanged. These data corroborate the therapeutic potential of targeting IL‐12/IL‐23 signalling in AD, but also highlight the importance of gender considerations when studying the role of the immune system and AD.
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Affiliation(s)
- Pascale Eede
- Department of Neuropathology, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Juliane Obst
- Department of Neuropathology, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Eileen Benke
- Department of Neuropathology, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Genevieve Yvon-Durocher
- Department of Neuropathology, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Bernhard C Richard
- Department of Neuropathology, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Niclas Gimber
- Advanced Medical Bioimaging Core Facility (AMBIO), corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jan Schmoranzer
- Advanced Medical Bioimaging Core Facility (AMBIO), corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Annett Böddrich
- Neuroproteomics, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Erich E Wanker
- Neuroproteomics, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Stefan Prokop
- Department of Neuropathology, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Frank L Heppner
- Department of Neuropathology, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Cluster of Excellence, NeuroCure, Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE) Berlin, Berlin, Germany
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47
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Systemic factors as mediators of brain homeostasis, ageing and neurodegeneration. Nat Rev Neurosci 2020; 21:93-102. [PMID: 31913356 DOI: 10.1038/s41583-019-0255-9] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/04/2019] [Indexed: 02/08/2023]
Abstract
A rapidly ageing population and a limited therapeutic toolbox urgently necessitate new approaches to treat neurodegenerative diseases. Brain ageing, the key risk factor for neurodegeneration, involves complex cellular and molecular processes that eventually result in cognitive decline. Although cell-intrinsic defects in neurons and glia may partially explain this decline, cell-extrinsic changes in the systemic environment, mediated by blood, have recently been shown to contribute to brain dysfunction with age. Here, we review the current understanding of how systemic factors mediate brain ageing, how these factors are regulated and how we can translate these findings into therapies for neurodegenerative diseases.
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48
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Faura J, Bustamante A, Penalba A, Giralt D, Simats A, Martínez-Sáez E, Alcolea D, Fortea J, Lleó A, Teunissen CE, van der Flier WM, Ibañez L, Harari O, Cruchaga C, Hernández-Guillamón M, Delgado P, Montaner J. CCL23: A Chemokine Associated with Progression from Mild Cognitive Impairment to Alzheimer's Disease. J Alzheimers Dis 2020; 73:1585-1595. [PMID: 31958084 PMCID: PMC8010612 DOI: 10.3233/jad-190753] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
CCL23 is a chemokine implicated in inflammation and host defense responses. It has been recently associated with acquired brain damage and stroke outcomes. In this study, we reported the role of CCL23 in Alzheimer's disease (AD). We evaluated the levels of CCL23 in 659 individuals: cognitively normal, mild cognitive impaired (MCI), and AD patients. Two cross-sectional (study 1, n = 53; study 2, n = 200) and two longitudinal (study 3, n = 74; study 4, n = 332) studies were analyzed separately. CCL23 levels in the blood and/or cerebrospinal fluid (CSF) of each study were measured by immunoassays. Globally, our results suggest a predictive role of CCL23 protein levels both in the plasma in study 3 (hazard ratio (HR) = 2.5 (confidence interval (CI) 95% : 1.2-5.3), p = 0.02) and in the CSF in study 4 (HR = 3.05 (CI 95% : 1.02-5), p = 0.04) in cases of MCI that progress to AD. Moreover, we observed that the APOEɛ4 allele was associated with higher levels of CCL23 in study 2 (470.33 pg/mL (interquartile range (IQR): 303.33-597.76) versus 377.94 pg/mL (IQR: 267.16-529.19), p = 0.01) (APOE genotypes were available in studies 2 and 4). Together, these findings support the role of CCL23 in neuroinflammation in the early stages of AD, suggesting that CCL23 might be a candidate blood biomarker for MCI to AD progression.
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Affiliation(s)
- Júlia Faura
- Neurovascular Research Laboratory. Vall d’Hebron Institut de Recerca (VHIR) – Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alejandro Bustamante
- Neurovascular Research Laboratory. Vall d’Hebron Institut de Recerca (VHIR) – Universitat Autònoma de Barcelona, Barcelona, Spain
- Neurology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Anna Penalba
- Neurovascular Research Laboratory. Vall d’Hebron Institut de Recerca (VHIR) – Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Dolors Giralt
- Neurovascular Research Laboratory. Vall d’Hebron Institut de Recerca (VHIR) – Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alba Simats
- Neurovascular Research Laboratory. Vall d’Hebron Institut de Recerca (VHIR) – Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Elena Martínez-Sáez
- Neuropathology Unit, Department of Pathology, Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Daniel Alcolea
- Sant Pau Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau - Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas. CIBERNED, Spain
| | - Juan Fortea
- Sant Pau Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau - Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas. CIBERNED, Spain
| | - Alberto Lleó
- Sant Pau Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau - Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas. CIBERNED, Spain
| | - Charlotte E. Teunissen
- Department of Clinical Chemistry, Neurochemistry Laboratory and Biobank, VU University Medical Center, Amsterdam, The Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, P.O. Box 7057, 1007MB, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Laura Ibañez
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders. Washington University School of Medicine, 660 S. Euclid Ave. B8111, St. Louis, MO 63110, USA
| | - Oscar Harari
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders. Washington University School of Medicine, 660 S. Euclid Ave. B8111, St. Louis, MO 63110, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders. Washington University School of Medicine, 660 S. Euclid Ave. B8111, St. Louis, MO 63110, USA
| | - Mar Hernández-Guillamón
- Neurovascular Research Laboratory. Vall d’Hebron Institut de Recerca (VHIR) – Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Pilar Delgado
- Neurovascular Research Laboratory. Vall d’Hebron Institut de Recerca (VHIR) – Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Joan Montaner
- Neurovascular Research Laboratory. Vall d’Hebron Institut de Recerca (VHIR) – Universitat Autònoma de Barcelona, Barcelona, Spain
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49
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Niedzwiecki MM, Walker DI, Howell JC, Watts KD, Jones DP, Miller GW, Hu WT. High-resolution metabolomic profiling of Alzheimer's disease in plasma. Ann Clin Transl Neurol 2019; 7:36-45. [PMID: 31828981 PMCID: PMC6952314 DOI: 10.1002/acn3.50956] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 11/08/2019] [Accepted: 11/09/2019] [Indexed: 12/13/2022] Open
Abstract
Background Alzheimer’s disease (AD) is a complex neurological disorder with contributions from genetic and environmental factors. High‐resolution metabolomics (HRM) has the potential to identify novel endogenous and environmental factors involved in AD. Previous metabolomics studies have identified circulating metabolites linked to AD, but lack of replication and inconsistent diagnostic algorithms have hindered the generalizability of these findings. Here we applied HRM to identify plasma metabolic and environmental factors associated with AD in two study samples, with cerebrospinal fluid (CSF) biomarkers of AD incorporated to achieve high diagnostic accuracy. Methods Liquid chromatography‐mass spectrometry (LC–MS)‐based HRM was used to identify plasma and CSF metabolites associated with AD diagnosis and CSF AD biomarkers in two studies of prevalent AD (Study 1: 43 AD cases, 45 mild cognitive impairment [MCI] cases, 41 controls; Study 2: 50 AD cases, 18 controls). AD‐associated metabolites were identified using a metabolome‐wide association study (MWAS) framework. Results An MWAS meta‐analysis identified three non‐medication AD‐associated metabolites in plasma, including elevated levels of glutamine and an unknown halogenated compound and lower levels of piperine, a dietary alkaloid. The non‐medication metabolites were correlated with CSF AD biomarkers, and glutamine and the unknown halogenated compound were also detected in CSF. Furthermore, in Study 1, the unknown compound and piperine were altered in MCI patients in the same direction as AD dementia. Conclusions In plasma, AD was reproducibly associated with elevated levels of glutamine and a halogen‐containing compound and reduced levels of piperine. These findings provide further evidence that exposures and behavior may modify AD risks.
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Affiliation(s)
- Megan M Niedzwiecki
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.,Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Douglas I Walker
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.,Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York.,Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, Georgia
| | | | - Kelly D Watts
- Department of Neurology, Emory University, Atlanta, Georgia
| | - Dean P Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, Georgia
| | - Gary W Miller
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.,Department of Neurology, Emory University, Atlanta, Georgia.,Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia.,Department of Pharmacology, Emory University, Atlanta, Georgia
| | - William T Hu
- Department of Neurology, Emory University, Atlanta, Georgia.,Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia.,Alzheimer's Disease Research Center, Emory University, Atlanta, Georgia
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50
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Brazaca LC, Moreto JR, Martín A, Tehrani F, Wang J, Zucolotto V. Colorimetric Paper-Based Immunosensor for Simultaneous Determination of Fetuin B and Clusterin toward Early Alzheimer's Diagnosis. ACS NANO 2019; 13:13325-13332. [PMID: 31661258 DOI: 10.1021/acsnano.9b06571] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Alzheimer's disease is a devastating condition characterized by a progressive and slow brain decay in elders. Here, we developed a paper-based lateral flow immunoassay for simultaneous and fast determination of Alzheimer's blood biomarkers, fetuin B and clusterin. Selective antibodies to targeted biomarkers were immobilized on gold nanoparticles (AuNPs) and deposited on paper pads. After adding the sample on the paper-based device, the biofluid laterally flows toward the selective antibody, permitting AuNP-Ab accumulation on the test zone, which causes a color change from white to pink. Image analysis was performed using a customized algorithm for the automatic recognition of the area of analysis and color clustering. Colorimetric detection was compared to electrochemical methods for the precise quantification of biomarkers. The best performance was found for the color parameter "L*". Good linearity (R2 = 0.988 and 0.998) and reproducibility (%RSD = 2.79% and 1.82%, N = 3) were demonstrated for the quantification of fetuin B and clusterin, respectively. Furthermore, the specificity of the immunosensor was tested on mixtures of proteins, showing negligible cross-reactivity and good performance in complex environments. We believe that our biosensor has a potential for early-stage diagnosis of Alzheimer's disease and toward a better understanding of Alzheimer's developing mechanisms.
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Affiliation(s)
- Laís C Brazaca
- Nanomedicine and Nanotoxicology Group, São Carlos Institute of Physics , University of São Paulo , 13560-970 São Carlos , SP , Brazil
- Department of NanoEngineering , University of California, San Diego , La Jolla , California 92093 , United States
| | - José R Moreto
- Department of Aerospace Engineering , San Diego State University , San Diego , California 92182-1308 , United States
| | - Aída Martín
- Department of NanoEngineering , University of California, San Diego , La Jolla , California 92093 , United States
| | - Farshad Tehrani
- Department of NanoEngineering , University of California, San Diego , La Jolla , California 92093 , United States
| | - Joseph Wang
- Department of NanoEngineering , University of California, San Diego , La Jolla , California 92093 , United States
| | - Valtencir Zucolotto
- Nanomedicine and Nanotoxicology Group, São Carlos Institute of Physics , University of São Paulo , 13560-970 São Carlos , SP , Brazil
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