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Mielke MM, Evans JK, Neiberg RH, Molina-Henry DP, Marcovina SM, Johnson KC, Carmichael OT, Rapp SR, Sachs BC, Ding J, Shappell HM, Luchsinger JA, Espeland MA, Hayden KM. Alzheimer Disease Blood Biomarkers and Cognition Among Individuals With Diabetes and Overweight or Obesity. JAMA Netw Open 2025; 8:e2458149. [PMID: 39913137 PMCID: PMC11803481 DOI: 10.1001/jamanetworkopen.2024.58149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Accepted: 11/27/2024] [Indexed: 02/07/2025] Open
Abstract
Importance Blood-based biomarkers (BBMs) are clinically available to aid in the diagnosis of Alzheimer disease (AD) and AD-related dementias (ADRD), but their association with cognition among older adults with specific chronic conditions has not been examined. Objective To longitudinally examine associations between baseline AD and ADRD BBMs and change in BBMs with cognition among participants with type 2 diabetes (T2D) and overweight or obesity. Design, Setting, and Participants The Look AHEAD (Action for Health in Diabetes) study was a clinical trial of older adults with T2D and overweight or obesity randomized to a 10-year intensive lifestyle intervention for weight loss or a diabetes support and education condition. Participants were recruited and followed up at 16 clinical sites across the US. Enrollment occurred from January 1, 2001, to December 31, 2004. The primary intervention spanned the first 4 years after participants' enrollment (January 1, 2008, to December 31, 2011). The clinical trial was stopped in September 2012 and was converted to an observational study. Blood samples were drawn at baseline and 8 to 12 years later. Cognitive assessments were performed from January 1, 2013, to December 31, 2014, and from January 1, 2018, to December 31, 2020. Data for the present cohort study were analyzed between January and August 2024. Exposures Baseline and 8- to 12-year change in plasma levels of amyloid-β (Aβ)40, Aβ42, Aβ42/40 ratio, phosphorylated tau 181 (pTau-181), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL). Main Outcomes and Measures Cognitive composite z score and adjudicated mild cognitive impairment or probable dementia. Results The mean (SD) baseline age of 758 participants was 61.5 (6.1) years, and 424 participants [55.9%] were female. Mean (SD) body mass index was 34.8 (5.3). Of the participants, 373 were randomized to diabetes support and education and 385 to intensive lifestyle intervention. Increasing baseline BBM levels were not associated with any cognitive composite z score. Increasing levels of NfL (β = -0.032 [SE, 0.013]; P = .01) and GFAP (β = -0.087 [SE, 0.025]; P < .001), but not the Aβ42/40 ratio (β = 0.006 [SE, 0.040]; P = .88) or pTau-181 (β = 0.026 [SE, 0.025]; P = .31), were associated with worsening cognitive function and incident mild cognitive impairment or probable dementia. The intervention had no association with 8- to 12-year change in BBM levels. Conclusions and Relevance In this study of participants with T2D and overweight or obesity, increasing plasma NfL and GFAP levels over time, but not Aβ42/40 or pTau-181 levels, were associated with cognitive decline and incident cognitive impairment. These results suggest that plasma NfL and GFAP may be important biomarkers of cognitive change among this patient population.
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Affiliation(s)
- Michelle M. Mielke
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Joni K. Evans
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Rebecca H. Neiberg
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Doris P. Molina-Henry
- Winston-Salem State University, Winston-Salem, North Carolina
- Alzheimer’s Therapeutic Research Institute, Keck School of Medicine, University of Southern California, Los Angeles
| | | | - Karen C. Johnson
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis
| | - Owen T. Carmichael
- Biomedical Imaging Center, Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Stephen R. Rapp
- Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina
- Department of Psychiatry and Behavioral Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Bonnie C. Sachs
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, North Carolina
- Department of Internal Medicine, Division of Gerontology and Geriatric Medicine Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Jingzhong Ding
- Department of Internal Medicine, Division of Gerontology and Geriatric Medicine Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Heather M. Shappell
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Jose A. Luchsinger
- Departments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, New York
| | - Mark A. Espeland
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina
- Department of Internal Medicine, Division of Gerontology and Geriatric Medicine Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Kathleen M. Hayden
- Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina
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Soldan A, Pettigrew C, Wang J, Albert MS, Blennow K, Bittner T, Moghekar A. Blood-Based Biomarkers and Risk of Onset of Mild Cognitive Impairment Over the Short and Long Term. Neurology 2025; 104:e210225. [PMID: 39724536 DOI: 10.1212/wnl.0000000000210225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 10/23/2024] [Indexed: 12/28/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Blood-based biomarkers of amyloid and tau have been shown to predict Alzheimer disease (AD) dementia. Much less is known about their ability to predict risk of mild cognitive impairment (MCI), an earlier disease stage. This study examined whether levels of blood biomarkers of amyloid (Aβ42/Aβ40 ratio), tau (p-tau181), neurodegeneration (NfL), and glial activation and neuroinflammation (glial fibrillary acidic protein [GFAP], YKL40, soluble triggering receptor expressed on myeloid cells 2 [sTREM2]) collected when participants were cognitively normal are associated with the time to onset of MCI. METHODS Cognitively unimpaired participants from the longitudinal observational BIOCARD study provided blood plasma at their baseline evaluation ("baseline 1"). A second "baseline" specimen (collected using slightly different procedures) was evaluated for participants who were still cognitively normal approximately 7 years later. The plasma assays were based on the NeuroToolKit (cobas Elecsys assays, Roche Diagnostics). Cox regression models tested the association of biomarker levels with time to MCI symptom onset, separately for both baselines. RESULTS Participants included 271 individuals at "baseline 1" (mean age = 57.5 years, 60.5% female, including 82 who progressed to MCI/dementia) and 202 individuals at "baseline 2" (mean age = 64.5 years, 62.4% female, including 31 progressors). The mean clinical follow-up was 15.5 years for "baseline 1" and 9.9 years for "baseline 2." For both baselines, lower plasma Aβ42/Aβ40 ratio (both hazard ratios, HRs ≤ 0.69, 95% CIs ≤ 0.55-0.87, p ≤ 0.034), higher GFAP (HRs ≥ 1.83, CIs ≥ 1.28-2.60, p < 0.002), and a higher ratio of p-tau181/(Aβ42/Aβ40) (HRs ≥ 1.64, CIs ≥ 1.25-2.13, p ≤ 0.001) were each associated with an earlier time to MCI symptom onset. For baseline 2, higher p-tau181 (HR = 2.07, CI = 1.12-3.83, p = 0.021) and higher NfL (HR = 1.75, CI = 0.99-3.10, p = 0.05) were also associated with earlier MCI symptom onset for progression within 7 years. When combining biomarkers, neither GFAP nor NFL was associated with MCI symptom onset after accounting for AD biomarker levels (e.g., p-tau181/(Aβ42/Aβ40)), which remained significant. YKL40 and sTREM2 were not associated with MCI onset. DISCUSSION Results indicate that during preclinical AD, more abnormal blood biomarker levels of amyloid (Aβ42/Aβ40), p-tau181, neurodegeneration (NfL), and neuroinflammation (GFAP) individually are associated with progression from normal cognition to MCI, but the AD-nonspecific neurodegeneration and inflammation markers were not associated with symptom onset after accounting for amyloid and p-tau levels.
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Affiliation(s)
- Anja Soldan
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Corinne Pettigrew
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jiangxia Wang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Marilyn S Albert
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kaj Blennow
- Institue of Neuroscience and Physiology, University of Gothenburg, Sweden
- Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Gothenburg, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, France
| | - Tobias Bittner
- F. Hoffmann-LaRoche AG, Basel, Switzerland; and
- Genentech Inc, South San Francisco, CA
| | - Abhay Moghekar
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD
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Li W, Li AA, Nie X, Voltin J, He L, Karakaya E, Edwards J, Jamil S, Abdelsaid K, Falangola MF, Ergul A. Combination treatment with cilostazol and isosorbide mononitrate attenuates microemboli-mediated vascular cognitive impairment and improves imaging and plasma biomarkers in diabetic rats. Exp Neurol 2025; 383:115030. [PMID: 39490626 PMCID: PMC11629300 DOI: 10.1016/j.expneurol.2024.115030] [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: 07/18/2024] [Revised: 10/08/2024] [Accepted: 10/23/2024] [Indexed: 11/05/2024]
Abstract
Diabetes is a major risk factor for all types of dementia. The underlying reasons are not fully understood, and preventive therapeutic strategies are lacking. Previously we have shown that diabetic but not control rats developed a progressive cognitive decline in a microemboli (ME) model of vascular contributions to cognitive impairment & dementia (VCID). Given the cerebrovascular dysfunction is a mutual pathological change between diabetes and VCID, we hypothesized that the cognitive impairment in this ME model can be prevented by improving the endothelial function in diabetes. Our treatment paradigm was based on the LACI-2 Trial which assessed the efficacy of isosorbide mononitrate (ISMN) and cilostazol (Cil) treatments in small vessel disease progression. Control and diabetic rats were treated with ISMN/Cil or vehicle for 4 weeks, then injected with cholesterol crystal ME and the behavioral outcomes were monitored. Brain microstructure integrity was assessed by diffusion MRI. Plasma biomarkers were assessed using angiogenesis, neurology and amyloid β 42/40 panels recommended by the MarkVCID consortium. Behavioral deficits and the loss of tissue integrity previously observed in untreated diabetic rats were not noted in the treated animals in this study. Treatment improved tissue perfusion but there were no differences in plasma biomarkers. These results suggest that restoration of endothelial function with ISMN/Cil before ME injection prevented the possible deleterious effects of ME in diabetic rats by improving the endothelial integrity and it is a practical preventive and therapeutic strategy for VCID.
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Affiliation(s)
- Weiguo Li
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States of America; Department of Pathology & Laboratory Medicine, Medical University of South Carolina, Charleston, SC, United States of America.
| | - Alice A Li
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States of America
| | - Xingju Nie
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States of America; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, United States of America
| | - Joshua Voltin
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States of America; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, United States of America
| | - Lianying He
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States of America; Department of Pathology & Laboratory Medicine, Medical University of South Carolina, Charleston, SC, United States of America
| | - Eda Karakaya
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States of America; Department of Pathology & Laboratory Medicine, Medical University of South Carolina, Charleston, SC, United States of America
| | - Jazlyn Edwards
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States of America; Department of Pathology & Laboratory Medicine, Medical University of South Carolina, Charleston, SC, United States of America
| | - Sarah Jamil
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States of America; Department of Pathology & Laboratory Medicine, Medical University of South Carolina, Charleston, SC, United States of America
| | - Kareem Abdelsaid
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States of America; Department of Pathology & Laboratory Medicine, Medical University of South Carolina, Charleston, SC, United States of America
| | - Maria Fatima Falangola
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States of America; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, United States of America
| | - Adviye Ergul
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States of America; Department of Pathology & Laboratory Medicine, Medical University of South Carolina, Charleston, SC, United States of America
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Zou Y, Wang Y, Ma X, Mu D, Zhong J, Ma C, Mao C, Yu S, Gao J, Qiu L. CSF and blood glial fibrillary acidic protein for the diagnosis of Alzheimer's disease: A systematic review and meta-analysis. Ageing Res Rev 2024; 101:102485. [PMID: 39236854 DOI: 10.1016/j.arr.2024.102485] [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: 06/27/2024] [Revised: 08/26/2024] [Accepted: 08/30/2024] [Indexed: 09/07/2024]
Abstract
Recently included in the 2024 new revised diagnostic criteria of Alzheimer's disease (AD), glial fibrillary acidic protein (GFAP) has garnered significant attention. A systematic review and meta-analysis were performed to comprehensively evaluate the diagnostic, differential diagnostic, and prospective diagnostic performance of GFAP in cerebrospinal fluid (CSF) and blood for AD continuum. A literature search using common electronic databases, important websites and historical search way was performed from inception to the beginning of March 2023. The inclusion criteria was studies evaluating the diagnostic accuracy of GFAP in CSF and/or blood for the AD continuum patients, utilizing PET scans, CSF biomarkers and/or clinical criteria. The systematic review and meta-analysis were conducted referring to the Cochrane Handbook. In total, 34 articles were eventually included in the meta-analysis, 29 of which were published within the past three years. Blood GFAP exhibited good diagnostic accuracy across various AD continuum patients, and the summary area under curve for distinguishing PET positive and negative individuals, CSF biomarkers defined positive and negative individuals, clinically diagnosed AD and cognitive unimpaired controls, AD and/or mild cognitive impairment and other neurological diseases, and prospective cases and controls was 0.85[0.81-0.88], 0.77[0.73-0.81], 0.92[0.90-0.94], 0.80[0.77-0.84], and 0.79[0.75-0.82], respectively. Only several studies were recognized to evaluate the diagnostic accuracy of CSF GFAP, which was not as good as that of blood GFAP (paired mixed data: AUC = 0.86 vs. AUC = 0.77), but its accuracy remarkably increased to AUC = 0.91 when combined with other factors like sex, age, and ApoE genotype. In summary, GFAP, particularly in blood, shown good diagnostic, differential diagnostic, and prospective diagnostic accuracy for AD continuum patients, with improved accuracy when used alongside other basic indexes.
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Affiliation(s)
- Yutong Zou
- Department of Laboratory Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China; Department of Pathology and Lab Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan 250117, Shandong, China
| | - Yifei Wang
- Department of Laboratory Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xiaoli Ma
- Department of Laboratory Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Danni Mu
- Department of Laboratory Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Jian Zhong
- Department of Laboratory Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Chaochao Ma
- Department of Laboratory Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Chenhui Mao
- Department of Neurology, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Songlin Yu
- Department of Laboratory Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China.
| | - Jing Gao
- Department of Neurology, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ling Qiu
- Department of Laboratory Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China.
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Bettcher BM, Lopez Paniagua D, Wang Y, McConnell BV, Coughlan C, Carlisle TC, Thaker AA, Lippitt W, Filley CM, Pelak VS, Shapiro AL, Heffernan KS, Potter H, Solano A, Boyd J, Carlson NE. Synergistic effects of GFAP and Aβ42: Implications for white matter integrity and verbal memory across the cognitive spectrum. Brain Behav Immun Health 2024; 40:100834. [PMID: 39206431 PMCID: PMC11357780 DOI: 10.1016/j.bbih.2024.100834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Accepted: 07/28/2024] [Indexed: 09/04/2024] Open
Abstract
Background Plasma glial fibrillary acidic protein (GFAP), an astrocytic biomarker, has previously been linked with Alzheimer's disease (AD) status, amyloid levels, and memory performance in older adults. The neuroanatomical pathways by which astrogliosis/astrocyte reactivity might impact cognitive outcomes remains unclear. We evaluated whether plasma GFAP and amyloid levels had a synergistic effect on fornix structure, which is critically involved in AD-associated cholinergic pathways. We also examined whether fornix structure mediates associations between GFAP and verbal memory. Methods In a cohort of both asymptomatic and symptomatic older adults (total n = 99), we assessed plasma GFAP, amyloid-β42 (Aβ42), other AD-related proteins, and vascular markers, and we conducted comprehensive memory testing. Tractography-based methods were used to assess fornix structure with whole brain diffusion metrics to control for diffuse alterations in brain white matter. Results In individuals in the low plasma amyloid-β42 (Aβ42) group, higher plasma GFAP was associated with lower fractional anisotropy (FA; p = 0.007), higher mean diffusivity (MD; p < 0.001), higher radial diffusivity (RD; p < 0.001), and higher axial diffusivity (DA; p = 0.001) in the left fornix. These associations were independent of APOE gene status, plasma levels of total tau and neurofilament light, plasma vascular biomarkers, and whole brain diffusion metrics. In a sub-analysis of participants in the low plasma Aβ42 group (n = 33), fornix structure mediated the association between higher plasma GFAP levels and lower verbal memory performance. Discussion Higher plasma GFAP was associated with altered fornix microstructure in the setting of greater amyloid deposition. We also expanded on our prior GFAP-verbal memory findings by demonstrating that in the low plasma Aβ42 group, left fornix integrity may be a primary white matter conduit for the negative associations between GFAP and verbal memory performance. Overall, these findings suggest that astrogliosis/astrocyte reactivity may play an early, pivotal role in AD pathogenesis, and further demonstrate that high GFAP and low Aβ42 in plasma may reflect a particularly detrimental synergistic role in forniceal-memory pathways.
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Affiliation(s)
- Brianne M. Bettcher
- Department of Neurology, Behavioral Neurology Section, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Dan Lopez Paniagua
- Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Yue Wang
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Brice V. McConnell
- Department of Neurology, Behavioral Neurology Section, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Christina Coughlan
- Department of Neurology, University of Colorado Alzheimer's & Cognition Center, Linda Crnic Institute for Down Syndrome, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tara C. Carlisle
- Department of Neurology, Behavioral Neurology Section, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ashesh A. Thaker
- Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Radiology, Denver Health, Denver, CO, USA
| | - William Lippitt
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Christopher M. Filley
- Behavioral Neurology Section, Departments of Neurology and Psychiatry, University of Colorado Alzheimer's & Cognition Center, Marcus Institute for Brain Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Victoria S. Pelak
- Department of Neurology, Behavioral Neurology Section, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Allison L.B. Shapiro
- Section of Endocrinology, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kate S. Heffernan
- Department of Neurology, Behavioral Neurology Section, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Huntington Potter
- Department of Neurology, University of Colorado Alzheimer's & Cognition Center, Linda Crnic Institute for Down Syndrome, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Adriana Solano
- Department of Neurology, University of Colorado Alzheimer's & Cognition Center, Linda Crnic Institute for Down Syndrome, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jada Boyd
- Department of Neurology, Behavioral Neurology Section, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Nichole E. Carlson
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Gonzales MM, O'Donnell A, Ghosh S, Thibault E, Tanner J, Satizabal CL, Decarli CS, Fakhri GE, Johnson KA, Beiser AS, Seshadri S, Pase M. Associations of cerebral amyloid beta and tau with cognition from midlife. Alzheimers Dement 2024; 20:5901-5911. [PMID: 39039896 PMCID: PMC11497641 DOI: 10.1002/alz.14060] [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: 12/11/2023] [Revised: 04/12/2024] [Accepted: 05/01/2024] [Indexed: 07/24/2024]
Abstract
INTRODUCTION Understanding early neuropathological changes and their associations with cognition may aid dementia prevention. This study investigated associations of cerebral amyloid and tau positron emission tomography (PET) retention with cognition in a predominately middle-aged community-based cohort and examined factors that may modify these relationships. METHODS 11C-Pittsburgh compound B amyloid and 18F-flortaucipir tau PET imaging were performed. Associations of amyloid and tau PET with cognition were evaluated using linear regression. Interactions with age, apolipoprotein E (APOE) ε4 status, and education were examined. RESULTS Amyloid and tau PET were not associated with cognition in the overall sample (N = 423; mean: 57 ± 10 years; 50% female). However, younger age (< 55 years) and APOE ε4 were significant effect modifiers, worsening cognition in the presence of higher amyloid and tau. DISCUSSION Higher levels of Aβ and tau may have a pernicious effect on cognition among APOE ε4 carriers and younger adults, suggesting a potential role for targeted early interventions. HIGHLIGHTS Risk and resilience factors influenced cognitive vulnerability due to Aβ and tau. Higher fusiform tau associated with poorer visuospatial skills in younger adults. APOE ε4 interacted with Aβ and tau to worsen cognition across multiple domains.
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Affiliation(s)
- Mitzi M. Gonzales
- Department of NeurologyCedars Sinai Medical CenterLos AngelesCaliforniaUSA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- Department of NeurologyUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Adrienne O'Donnell
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
| | - Saptaparni Ghosh
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Emma Thibault
- Department of RadiologyMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Jeremy Tanner
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- Department of NeurologyUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Claudia L. Satizabal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyUniversity of California DavisSacramentoCaliforniaUSA
| | - Charles S. Decarli
- Department of Population Health SciencesUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- Center for NeuroscienceUniversity of California DavisDavisCaliforniaUSA
| | - Georges El Fakhri
- Department of RadiologyMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
- Department of RadiologyYale School of MedicineNew HavenUnited States
| | - Keith A. Johnson
- Department of RadiologyMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
- Department of NeurologyMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
- Department of NeurologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Alexa S. Beiser
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- Department of NeurologyUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Matthew Pase
- The Framingham Heart StudyFraminghamMassachusettsUSA
- School of Psychological SciencesTurner Institute for Brain and Mental HealthMonash UniversityClaytonVICAustralia
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Gouilly D, Vrillon A, Bertrand E, Goubeaud M, Catala H, Germain J, Ainaoui N, Rafiq M, Nogueira L, Mouton-Liger F, Planton M, Salabert AS, Hitzel A, Méligne D, Jasse L, Sarton B, Silva S, Lemesle B, Péran P, Payoux P, Thalamas C, Paquet C, Pariente J. Translocator protein (TSPO) genotype does not change cerebrospinal fluid levels of glial activation, axonal and synaptic damage markers in early Alzheimer's disease. Neuroimage Clin 2024; 43:103626. [PMID: 38850834 PMCID: PMC11201347 DOI: 10.1016/j.nicl.2024.103626] [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: 02/29/2024] [Revised: 05/10/2024] [Accepted: 05/29/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND PET imaging of the translocator protein (TSPO) is used to assess in vivo brain inflammation. One of the main methodological issues with this method is the allelic dependence of the radiotracer affinity. In Alzheimer's disease (AD), previous studies have shown similar clinical and patho-biological profiles between TSPO genetic subgroups. However, there is no evidence regarding the effect of the TSPO genotype on cerebrospinal-fluid biomarkers of glial activation, and synaptic and axonal damage. METHOD We performed a trans-sectional study in early AD to compare cerebrospinal-fluid levels of GFAP, YKL-40, sTREM2, IL-6, IL-10, NfL and neurogranin between TSPO genetic subgroups. RESULTS We recruited 33 patients with early AD including 16 (48%) high affinity binders, 13 (39%) mixed affinity binders, and 4/33 (12%) low affinity binders. No difference was observed in terms of demographics, and cerebrospinal fluid levels of each biomarker for the different subgroups. CONCLUSION TSPO genotype is not associated with a change in glial activation, synaptic and axonal damage in early AD. Further studies with larger numbers of participants will be needed to confirm that the inclusion of specific TSPO genetic subgroups does not introduce selection bias in studies and trials of AD that combine TSPO imaging with cerebrospinal fluid biomarkers.
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Affiliation(s)
- Dominique Gouilly
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France.
| | - Agathe Vrillon
- Université de Paris, Cognitive Neurology Center, GHU Nord, APHP, Hospital Lariboisière Fernand Widal, Paris, France; Université de Paris, Inserm UMRS11-44 Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Elsa Bertrand
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Marie Goubeaud
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Hélène Catala
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Johanne Germain
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Nadéra Ainaoui
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Marie Rafiq
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France; Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France
| | - Leonor Nogueira
- Laboratory of Cell Biology and Cytology, CHU Toulouse Purpan, Toulouse, France
| | - François Mouton-Liger
- Université de Paris, Inserm UMRS11-44 Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Mélanie Planton
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France; Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France
| | - Anne-Sophie Salabert
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France; Department of Nuclear Medicine, CHU Toulouse Purpan, Toulouse, France
| | - Anne Hitzel
- Department of Nuclear Medicine, CHU Toulouse Purpan, Toulouse, France
| | - Déborah Méligne
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France
| | - Laurence Jasse
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France
| | - Benjamine Sarton
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France; Critical Care Unit, CHU Toulouse Purpan, Toulouse, France
| | - Stein Silva
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France; Critical Care Unit, CHU Toulouse Purpan, Toulouse, France
| | - Béatrice Lemesle
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France
| | - Patrice Péran
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France
| | - Pierre Payoux
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France; Department of Nuclear Medicine, CHU Toulouse Purpan, Toulouse, France
| | - Claire Thalamas
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Claire Paquet
- Université de Paris, Cognitive Neurology Center, GHU Nord, APHP, Hospital Lariboisière Fernand Widal, Paris, France; Université de Paris, Inserm UMRS11-44 Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Jérémie Pariente
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France; Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France; Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France
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8
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Dark HE, Duggan MR, Walker KA. Plasma biomarkers for Alzheimer's and related dementias: A review and outlook for clinical neuropsychology. Arch Clin Neuropsychol 2024; 39:313-324. [PMID: 38520383 PMCID: PMC11484593 DOI: 10.1093/arclin/acae019] [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: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 03/25/2024] Open
Abstract
Recent technological advances have improved the sensitivity and specificity of blood-based biomarkers for Alzheimer's disease and related dementias. Accurate quantification of amyloid-ß peptide, phosphorylated tau (pTau) isoforms, as well as markers of neurodegeneration (neurofilament light chain [NfL]) and neuro-immune activation (glial fibrillary acidic protein [GFAP] and chitinase-3-like protein 1 [YKL-40]) in blood has allowed researchers to characterize neurobiological processes at scale in a cost-effective and minimally invasive manner. Although currently used primarily for research purposes, these blood-based biomarkers have the potential to be highly impactful in the clinical setting - aiding in diagnosis, predicting disease risk, and monitoring disease progression. Whereas plasma NfL has shown promise as a non-specific marker of neuronal injury, plasma pTau181, pTau217, pTau231, and GFAP have demonstrated desirable levels of sensitivity and specificity for identification of individuals with Alzheimer's disease pathology and Alzheimer's dementia. In this forward looking review, we (i) provide an overview of the most commonly used blood-based biomarkers for Alzheimer's disease and related dementias, (ii) discuss how comorbid medical conditions, demographic, and genetic factors can inform the interpretation of these biomarkers, (iii) describe ongoing efforts to move blood-based biomarkers into the clinic, and (iv) highlight the central role that clinical neuropsychologists may play in contextualizing and communicating blood-based biomarker results for patients.
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Affiliation(s)
- Heather E Dark
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Michael R Duggan
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Keenan A Walker
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
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9
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De Meyer S, Blujdea ER, Schaeverbeke J, Reinartz M, Luckett ES, Adamczuk K, Van Laere K, Dupont P, Teunissen CE, Vandenberghe R, Poesen K. Longitudinal associations of serum biomarkers with early cognitive, amyloid and grey matter changes. Brain 2024; 147:936-948. [PMID: 37787146 DOI: 10.1093/brain/awad330] [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: 04/01/2023] [Revised: 09/08/2023] [Accepted: 09/12/2023] [Indexed: 10/04/2023] Open
Abstract
Blood-based biomarkers have been extensively evaluated for their diagnostic potential in Alzheimer's disease. However, their relative prognostic and monitoring capabilities for cognitive decline, amyloid-β (Aβ) accumulation and grey matter loss in cognitively unimpaired elderly require further investigation over extended time periods. This prospective cohort study in cognitively unimpaired elderly [n = 185, mean age (range) = 69 (53-84) years, 48% female] examined the prognostic and monitoring capabilities of glial fibrillary acidic protein (GFAP), neurofilament light (NfL), Aβ1-42/Aβ1-40 and phosphorylated tau (pTau)181 through their quantification in serum. All participants underwent baseline Aβ-PET, MRI and blood sampling as well as 2-yearly cognitive testing. A subset additionally underwent Aβ-PET (n = 109), MRI (n = 106) and blood sampling (n = 110) during follow-up [median time interval (range) = 6.1 (1.3-11.0) years]. Matching plasma measurements were available for Aβ1-42/Aβ1-40 and pTau181 (both n = 140). Linear mixed-effects models showed that high serum GFAP and NfL predicted future cognitive decline in memory (βGFAP×Time = -0.021, PFDR = 0.007 and βNfL×Time = -0.031, PFDR = 0.002) and language (βGFAP×Time = -0.021, PFDR = 0.002 and βNfL×Time = -0.018, PFDR = 0.03) domains. Low serum Aβ1-42/Aβ1-40 equally but independently predicted memory decline (βAβ1-42/Aβ1-40×Time = -0.024, PFDR = 0.02). Whole-brain voxelwise analyses revealed that low Aβ1-42/Aβ1-40 predicted Aβ accumulation within the precuneus and frontal regions, high GFAP and NfL predicted grey matter loss within hippocampal regions and low Aβ1-42/Aβ1-40 predicted grey matter loss in lateral temporal regions. Serum GFAP, NfL and pTau181 increased over time, while Aβ1-42/Aβ1-40 decreased only in Aβ-PET-negative elderly. NfL increases associated with declining memory (βNfLchange×Time = -0.030, PFDR = 0.006) and language (βNfLchange×Time = -0.021, PFDR = 0.02) function and serum Aβ1-42/Aβ1-40 decreases associated with declining language function (βAβ1-42/Aβ1-40×Time = -0.020, PFDR = 0.04). GFAP increases associated with Aβ accumulation within the precuneus and NfL increases associated with grey matter loss. Baseline and longitudinal serum pTau181 only associated with Aβ accumulation in restricted occipital regions. In head-to-head comparisons, serum outperformed plasma Aβ1-42/Aβ1-40 (ΔAUC = 0.10, PDeLong, FDR = 0.04), while both plasma and serum pTau181 demonstrated poor performance to detect asymptomatic Aβ-PET positivity (AUC = 0.55 and 0.63, respectively). However, when measured with a more phospho-specific assay, plasma pTau181 detected Aβ-positivity with high performance (AUC = 0.82, PDeLong, FDR < 0.007). In conclusion, serum GFAP, NfL and Aβ1-42/Aβ1-40 are valuable prognostic and/or monitoring tools in asymptomatic stages providing complementary information in a time- and pathology-dependent manner.
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Affiliation(s)
- Steffi De Meyer
- Laboratory for Molecular Neurobiomarker Research, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
| | - Elena R Blujdea
- Neurochemistry Laboratory, Amsterdam UMC, 1081 HZ Amsterdam, The Netherlands
| | - Jolien Schaeverbeke
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
| | - Mariska Reinartz
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
| | - Emma S Luckett
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
| | - Katarzyna Adamczuk
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
| | - Koen Van Laere
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, 3000 Leuven, Belgium
- Division of Nuclear Medicine, UZ Leuven, 3000 Leuven, Belgium
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
| | | | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
- Department of Neurology, UZ Leuven, 3000 Leuven, Belgium
| | - Koen Poesen
- Laboratory for Molecular Neurobiomarker Research, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
- Department of Laboratory Medicine, UZ Leuven, 3000 Leuven, Belgium
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10
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Alshammari A, Pillai B, Kamat P, Jones TW, Bosomtwi A, Khan MB, Hess DC, Li W, Somanath PR, Sayed MA, Ergul A, Fagan SC. Angiotensin II Type 2 Receptor Agonism Alleviates Progressive Post-stroke Cognitive Impairment in Aged Spontaneously Hypertensive Rats. Transl Stroke Res 2024:10.1007/s12975-024-01232-1. [PMID: 38302738 DOI: 10.1007/s12975-024-01232-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 12/27/2023] [Accepted: 01/17/2024] [Indexed: 02/03/2024]
Abstract
Hypertension and aging are leading risk factors for stroke and vascular contributions to cognitive impairment and dementia (VCID). Most animal models fail to capture the complex interplay between these pathophysiological processes. In the current study, we examined the development of cognitive impairment in 18-month-old spontaneously hypertensive rats (SHR) before and following ischemic stroke. Sixty SHRs were housed for 18 months with cognitive assessments every 6 months and post-surgery. MRI scans were performed at baseline and throughout the study. On day 3 post-stroke, rats were randomized to receive either angiotensin II type 2 receptor (AT2R) agonist Compound 21 (C21) or plain water for 8 weeks. SHRs demonstrated a progressive cognitive decline and significant MRI abnormalities before stroke. Perioperative mortality within 72 h of stroke was low. Stroke resulted in significant acute brain swelling, chronic brain atrophy, and sustained sensorimotor and behavioral deficits. There was no evidence of anhedonia at week 8. C21 enhanced sensorimotor recovery and ischemic lesion resolution at week 8. SHRs represent a clinically relevant animal model to study aging and stroke-associated VCID. This study underscores the importance of translational disease modeling and provides evidence that modulation of the AT2R signaling via C21 may be a useful therapeutic option to improve sensorimotor and cognitive outcomes even in aged animals.
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Affiliation(s)
- Abdulkarim Alshammari
- Program in Clinical and Experimental Therapeutics, Charlie Norwood Veterans Affairs Health Care System and College of Pharmacy, University of Georgia, Augusta, GA, USA
- Department of Clinical Pharmacy, Faculty of Pharmacy, Northern Border University, Rafha, Saudi Arabia
| | - Bindu Pillai
- Program in Clinical and Experimental Therapeutics, Charlie Norwood Veterans Affairs Health Care System and College of Pharmacy, University of Georgia, Augusta, GA, USA
| | - Pradip Kamat
- Department of Neurology, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Timothy W Jones
- Program in Clinical and Experimental Therapeutics, Charlie Norwood Veterans Affairs Health Care System and College of Pharmacy, University of Georgia, Augusta, GA, USA
| | - Asamoah Bosomtwi
- Georgia Cancer Center and Department of Biochemistry and Molecular Biology, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | | | - David C Hess
- Department of Neurology, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Weiguo Li
- Ralph H. Johnson Veterans Affairs Health Care System and Department of Pathology & Lab. Medicine, Medical University of South Carolina, 171 Ashley Ave. MSC 908, Charleston, SC, 29492, USA
| | - Payaningal R Somanath
- Program in Clinical and Experimental Therapeutics, Charlie Norwood Veterans Affairs Health Care System and College of Pharmacy, University of Georgia, Augusta, GA, USA
| | | | - Adviye Ergul
- Ralph H. Johnson Veterans Affairs Health Care System and Department of Pathology & Lab. Medicine, Medical University of South Carolina, 171 Ashley Ave. MSC 908, Charleston, SC, 29492, USA.
| | - Susan C Fagan
- Program in Clinical and Experimental Therapeutics, Charlie Norwood Veterans Affairs Health Care System and College of Pharmacy, University of Georgia, Augusta, GA, USA
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11
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Eleiwa NZH, Elsayed ASF, Said EN, Metwally MMM, Abd-Elhakim YM. Di (2-ethylhexyl) phthalate alters neurobehavioral responses and oxidative status, architecture, and GFAP and BDNF signaling in juvenile rat's brain: Protective role of Coenzyme10. Food Chem Toxicol 2024; 184:114372. [PMID: 38113957 DOI: 10.1016/j.fct.2023.114372] [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: 10/04/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 12/21/2023]
Abstract
Di-(2-ethylhexyl) phthalate (DEHP), a phthalate plasticizer, is widely spread in the environment, presenting hazards to human health and food safety. Hence, this study examined the probable preventive role of coenzyme10 (CQ10) (10 mg/kg.b.wt) against DEHP (500 mg/kg.wt) - induced neurotoxic and neurobehavioral impacts in juvenile (34 ± 1.01g and 3 weeks old) male Sprague Dawley rats in 35-days oral dosing trial. The results indicated that CQ10 significantly protected against DEHP-induced memory impairment, anxiety, depression, spatial learning disorders, and repetitive/stereotypic-like behavior. Besides, the DEHP-induced depletion in dopamine and gamma amino butyric acid levels was significantly restored by CQ10. Moreover, CQ10 significantly protected against the exhaustion of CAT, GPx, SOD, GSH, and GSH/GSSG ratio, as well as the increase in malondialdehyde, Caspas-3, interleukin-6, and tumor necrosis factor-alpha brain content accompanying with DEHP exposure. Furthermore, CQ10 significantly protected the brain from the DEHP-induced neurodegenerative alterations. Also, the increased immunoexpression of brain-derived neurotrophic factor, not glial fibrillary acidic protein, in the cerebral, hippocampal, and cerebellar brain tissues due to DEHP exposure was alleviated with CQ10. This study's findings provide conclusive evidence that CQ10 has the potential to be used as an efficient natural protective agent against the neurobehavioral and neurotoxic consequences of DEHP.
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Affiliation(s)
- Naglaa Z H Eleiwa
- Department of Pharmacology, Faculty of Veterinary Medicine, Zagazig University, Zagazig, 44519, Egypt
| | - Alaa S F Elsayed
- Department of Pharmacology, Faculty of Veterinary Medicine, Zagazig University, Zagazig, 44519, Egypt
| | - Enas N Said
- Department of Behaviour and Management of Animal, Poultry and Aquatic, Faculty of Veterinary Medicine, Zagazig University, Zagazig, 44519, Egypt
| | - Mohamed M M Metwally
- Department of Pathology and Clinical Pathology, Faculty of Veterinary Medicine, King Salman International University, Ras Sudr, Egypt; Department of Pathology, Faculty of Veterinary Medicine, Zagazig University, Zagazig, 44519, Egypt
| | - Yasmina M Abd-Elhakim
- Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, Zagazig University, Zagazig, 44519, Egypt.
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12
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van Gennip ACE, Satizabal CL, Tracy RP, Sigurdsson S, Gudnason V, Launer LJ, van Sloten TT. Associations of plasma NfL, GFAP, and t-tau with cerebral small vessel disease and incident dementia: longitudinal data of the AGES-Reykjavik Study. GeroScience 2024; 46:505-516. [PMID: 37530894 PMCID: PMC10828267 DOI: 10.1007/s11357-023-00888-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 07/24/2023] [Indexed: 08/03/2023] Open
Abstract
We investigated the associations of plasma neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and total tau (t-tau) with markers of cerebral small vessel disease (SVD) and with incident dementia. We also investigated whether associations of NfL, GFAP, and t-tau with incident dementia were explained by SVD. Data are from a random subsample (n = 1069) of the population-based AGES-Reykjavik Study who underwent brain MRI and in whom plasma NfL, GFAP, and t-tau were measured at baseline (76.1 ± 5.4 years/55.9% women/baseline 2002-2006/follow-up until 2015). A composite SVD burden score was calculated using white matter hyperintensity volume (WMHV), subcortical infarcts, cerebral microbleeds, and large perivascular spaces. Dementia was assessed in a 3-step process and adjudicated by specialists. Higher NfL was associated with a higher SVD burden score. Dementia occurred in 225 (21.0%) individuals. The SVD burden score significantly explained part of the association between NfL and incident dementia. WMHV mostly strongly contributed to the explained effect. GFAP was not associated with the SVD burden score, but was associated with WMHV, and WMHV significantly explained part of the association between GFAP and incident dementia. T-tau was associated with WMHV, but not with incident dementia. In conclusion, the marker most strongly related to SVD is plasma NfL, for which the association with WMHV appeared to explain part of its association with incident dementia. This study suggests that plasma NfL may reflect the contribution of co-morbid vascular disease to dementia. However, the magnitude of the explained effect was relatively small, and further research is required to investigate the clinical implications of this finding.
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Affiliation(s)
- April C E van Gennip
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- School for Cardiovascular Diseases (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA
| | - Russell P Tracy
- Laboratory for Clinical Biochemistry Research, The Robert Larner M.D. College of Medicine, University of Vermont, Burlington, VT, USA
| | | | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, National Institutes of Health, Baltimore, MD, USA
| | - Thomas T van Sloten
- Department of Vascular Medicine, Utrecht University Medical Center, Utrecht, The Netherlands.
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13
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Wolf EJ, Miller MW, Hawn SE, Zhao X, Wallander SE, McCormick B, Govan C, Rasmusson A, Stone A, Schichman SA, Logue MW. Longitudinal study of traumatic-stress related cellular and cognitive aging. Brain Behav Immun 2024; 115:494-504. [PMID: 37967663 PMCID: PMC10843744 DOI: 10.1016/j.bbi.2023.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 09/18/2023] [Accepted: 11/11/2023] [Indexed: 11/17/2023] Open
Abstract
Traumatic stress is associated with both accelerated epigenetic age and increased risk for dementia. Accelerated epigenetic age might link symptoms of traumatic stress to dementia-associated biomarkers, such as amyloid-beta (Aβ) proteins, neurofilament light (NFL), and inflammatory molecules. We tested this hypothesis using longitudinal data obtained from 214 trauma-exposed military veterans (85 % male, mean age at baseline: 53 years, 75 % White) who were assessed twice over the course of an average of 5.6 years. Cross-lagged panel mediation models evaluated measures of lifetime posttraumatic stress disorder and internalizing and externalizing comorbidity (assessed at Time 1; T1) in association with T1 epigenetic age (per the GrimAge algorithm) and T1 plasma markers of neuropathology along with bidirectional temporal paths between T1 and T2 epigenetic age and the plasma markers. Results revealed that a measure of externalizing comorbidity was associated with accelerated epigenetic age (β = 0.30, p <.01), which in turn, was associated with subsequent increases in Aβ-40 (β = 0.20, p <.001), Aβ-42 (β = 0.18, p <.001), and interleukin-6 (β = 0.18, p <.01). T1 advanced epigenetic age and the T1 neuropathology biomarkers NFL and glial fibrillary acidic protein predicted worse performance on T2 neurocognitive tasks assessing working memory, executive/attentional control, and/or verbal memory (ps = 0.03 to 0.009). Results suggest that advanced GrimAge is predictive of subsequent increases in neuropathology and inflammatory biomarkers as well as worse cognitive function, highlighting the clinical significance of this biomarker with respect to cognitive aging and brain health over time. The finding that advanced GrimAge mediated the association between psychiatric comorbidity and future neuropathology is important for understanding potential pathways to neurodegeneration and early identification of those at greatest risk.
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Affiliation(s)
- Erika J Wolf
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA.
| | - Mark W Miller
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Sage E Hawn
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Old Dominion University, Department of Psychology, Norfolk, VA, USA
| | - Xiang Zhao
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA
| | - Sara E Wallander
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Beth McCormick
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Christine Govan
- MAVERIC Central Biorepository, VA Boston Healthcare System, Boston, MA, USA
| | - Ann Rasmusson
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Annjanette Stone
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Steven A Schichman
- Pathology and Laboratory Medicine Service, Central Arkansas Veterans Healthcare System, USA; Department of Pathology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Mark W Logue
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA; Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA; Boston University School of Medicine, Department of Medicine, Biomedical Genetics, Boston, MA, USA
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14
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Gonzales MM, Vela G, Philip V, Trevino H, LaRoche A, Wang CP, Parent DM, Kautz T, Satizabal CL, Tanner J, O'Bryant S, Maestre G, Tracy RP, Seshadri S. Demographic and Clinical Characteristics Associated With Serum GFAP Levels in an Ethnically Diverse Cohort. Neurology 2023; 101:e1531-e1541. [PMID: 37813589 PMCID: PMC10585700 DOI: 10.1212/wnl.0000000000207706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 06/09/2023] [Indexed: 10/16/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Elevations in circulating glial fibrillary acidic protein (GFAP), a putative marker of reactive astrocytosis, have been found to associate with cognitive decline and dementia status. Further validation in diverse cohorts and evaluation of potential health disparities are necessary for broader generalization. The goal of this study was to examine the associations between demographics, cardiovascular risk factors, and APOE ε4 status with serum GFAP levels among Mexican American and non-Hispanic White older adults across the continuum from cognitively unimpaired to Alzheimer disease dementia. METHODS Serum GFAP levels were assayed using a Simoa HD-1 analyzer in older adults enrolled in the observational Texas Alzheimer Research and Care Consortium. Associations between demographic and clinical characteristics with serum GFAP levels were evaluated using linear regression. The diagnostic accuracy of serum GFAP was further examined using area under the receiver operating characteristic curves (AUROC) in univariate and adjusted models, and optimal cut points were derived using the maximum Kolmogorov-Smirnov metric. All models were also stratified by ethnicity and disease stage. RESULTS A total of 1,156 Mexican American and 587 non-Hispanic White participants were included (mean age = 68 years, standard deviation = 10; 65% female). Older age (β = 0.562 (95% CI 0.515-0.609), p < 0.001), apolipoprotein ε4 status (β = 0.139 (95% CI 0.092-0.186), p < 0.001), and cognitive impairment (β = 0.150 (95% CI 0.103-0.197), p < 0.001) were positively associated with serum GFAP. By contrast, higher body mass index (β = -0.181 (95% CI -0.228 to -0.134), p < 0.001), diabetes (β = -0.065 (95% CI -0.112 to -0.018), p < 0.001), and tobacco use (β = -0.059 (95% CI -0.106 to -0.012), p < 0.001) were inversely associated with serum GFAP. AUROC values were generally comparable across ethnicities and model fit improved with inclusion of additional covariates. However, optimal cut-off values were consistently lower in Mexican Americans relative to non-Hispanic White participants. DISCUSSION The study results highlight the importance of understanding the role of broader demographic and clinical factors on circulating GFAP levels within diverse cohorts to enhance precision across clinical, research, and community settings.
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Affiliation(s)
- Mitzi M Gonzales
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville.
| | - Gabriel Vela
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Vinu Philip
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Hector Trevino
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Ashley LaRoche
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Chen-Pin Wang
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Danielle M Parent
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Tiffany Kautz
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Claudia L Satizabal
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Jeremy Tanner
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Sid O'Bryant
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Gladys Maestre
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Russell P Tracy
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Sudha Seshadri
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
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15
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Ally M, Sugarman MA, Zetterberg H, Blennow K, Ashton NJ, Karikari TK, Aparicio HJ, Frank B, Tripodis Y, Martin B, Palmisano JN, Steinberg EG, Simkin I, Farrer LA, Jun GR, Turk KW, Budson AE, O'Connor MK, Au R, Goldstein LE, Kowall NW, Killiany R, Stern RA, Stein TD, McKee AC, Qiu WQ, Mez J, Alosco ML. Cross-sectional and longitudinal evaluation of plasma glial fibrillary acidic protein to detect and predict clinical syndromes of Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12492. [PMID: 37885919 PMCID: PMC10599277 DOI: 10.1002/dad2.12492] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 09/15/2023] [Accepted: 09/26/2023] [Indexed: 10/28/2023]
Abstract
Introduction This study examined plasma glial fibrillary acidic protein (GFAP) as a biomarker of cognitive impairment due to Alzheimer's disease (AD) with and against plasma neurofilament light chain (NfL), and phosphorylated tau (p-tau)181+231. Methods Plasma samples were analyzed using Simoa platform for 567 participants spanning the AD continuum. Cognitive diagnosis, neuropsychological testing, and dementia severity were examined for cross-sectional and longitudinal outcomes. Results Plasma GFAP discriminated AD dementia from normal cognition (adjusted mean difference = 0.90 standard deviation [SD]) and mild cognitive impairment (adjusted mean difference = 0.72 SD), and demonstrated superior discrimination compared to alternative plasma biomarkers. Higher GFAP was associated with worse dementia severity and worse performance on 11 of 12 neuropsychological tests. Longitudinally, GFAP predicted decline in memory, but did not predict conversion to mild cognitive impairment or dementia. Discussion Plasma GFAP was associated with clinical outcomes related to suspected AD and could be of assistance in a plasma biomarker panel to detect in vivo AD.
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Affiliation(s)
- Madeline Ally
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of PsychologyUniversity of ArizonaTucsonArizonaUSA
| | - Michael A. Sugarman
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyMedical University of South CarolinaCharlestonSouth CarolinaUSA
| | - Henrik Zetterberg
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCL, UCL Institute of NeurologyUniversity College LondonLondonUK
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
| | - Kaj Blennow
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
| | - Nicholas J. Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology, and NeuroscienceKing's College LondonLondonUK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and MaudsleyNHS FoundationLondonUK
- Centre for Age‐Related MedicineStavanger University HospitalStavangerNorway
| | - Thomas K. Karikari
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Department of PsychiatryUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Hugo J. Aparicio
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Brandon Frank
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- US Department of Veterans AffairsVA Boston Healthcare SystemJamaica PlainMassachusettsUSA
| | - Yorghos Tripodis
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
| | - Brett Martin
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Biostatistics and Epidemiology Data Analytics CenterBoston University School of Public HealthBostonMassachusettsUSA
| | - Joseph N. Palmisano
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Biostatistics and Epidemiology Data Analytics CenterBoston University School of Public HealthBostonMassachusettsUSA
| | - Eric G. Steinberg
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Irene Simkin
- Department of MedicineBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Lindsay A. Farrer
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
- Department of MedicineBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Department of EpidemiologyBoston University School of Public HealthBostonMassachusettsUSA
- Department of OphthalmologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Gyungah R. Jun
- Department of MedicineBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Katherine W. Turk
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- US Department of Veterans AffairsVA Boston Healthcare SystemJamaica PlainMassachusettsUSA
| | - Andrew E. Budson
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- US Department of Veterans AffairsVA Boston Healthcare SystemJamaica PlainMassachusettsUSA
| | - Maureen K. O'Connor
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeuropsychologyEdith Nourse Rogers Memorial Veterans HospitalBedfordMassachusettsUSA
| | - Rhoda Au
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Department of EpidemiologyBoston University School of Public HealthBostonMassachusettsUSA
- Department of Anatomy and NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Lee E. Goldstein
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Biostatistics and Epidemiology Data Analytics CenterBoston University School of Public HealthBostonMassachusettsUSA
- Department of OphthalmologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of Biomedical, Electrical, and Computer EngineeringBoston University College of EngineeringBostonMassachusettsUSA
| | - Neil W. Kowall
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- US Department of Veterans AffairsVA Boston Healthcare SystemJamaica PlainMassachusettsUSA
- Department of Pathology and Laboratory MedicineBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Ronald Killiany
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of Anatomy and NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Center for Biomedical ImagingBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Robert A. Stern
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of Anatomy and NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurosurgeryBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Thor D. Stein
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- US Department of Veterans AffairsVA Boston Healthcare SystemJamaica PlainMassachusettsUSA
- Department of Pathology and Laboratory MedicineBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- US Department of Veterans AffairsVA Bedford Healthcare SystemBedfordMassachusettsUSA
| | - Ann C. McKee
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- US Department of Veterans AffairsVA Boston Healthcare SystemJamaica PlainMassachusettsUSA
- Department of Pathology and Laboratory MedicineBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- US Department of Veterans AffairsVA Bedford Healthcare SystemBedfordMassachusettsUSA
| | - Wei Qiao Qiu
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of PsychiatryBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of Pharmacology and Experimental TherapeuticsBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Jesse Mez
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Michael L. Alosco
- Boston University Alzheimer's Disease Research Center and CTE CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
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16
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Ochneva AG, Soloveva KP, Savenkova VI, Ikonnikova AY, Gryadunov DA, Andryuschenko AV. Modern Approaches to the Diagnosis of Cognitive Impairment and Alzheimer's Disease: A Narrative Literature Review. CONSORTIUM PSYCHIATRICUM 2023; 4:53-62. [PMID: 38239570 PMCID: PMC10790729 DOI: 10.17816/cp716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/13/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND The aging of the worlds population leads to an increase in the prevalence of age-related diseases, including cognitive impairment. At the stage of dementia, therapeutic interventions become usually ineffective. Therefore, researchers and clinical practitioners today are looking for methods that allow for early diagnosis of cognitive impairment, including techniques that are based on the use of biological markers. AIM The aim of this literature review is to delve into scientific papers that are centered on modern laboratory tests for Alzheimers disease, including tests for biological markers at the early stages of cognitive impairment. METHODS The authors have carried out a descriptive review of scientific papers published from 2015 to 2023. Studies that are included in the PubMed and Web of Science electronic databases were analyzed. A descriptive analysis was used to summarized the gleaned information. RESULTS Blood and cerebrospinal fluid (CSF) biomarkers, as well as the advantages and disadvantages of their use, are reviewed. The most promising neurotrophic, neuroinflammatory, and genetic markers, including polygenic risk models, are also discussed. CONCLUSION The use of biomarkers in clinical practice will contribute to the early diagnosis of cognitive impairment associated with Alzheimers disease. Genetic screening tests can improve the detection threshold of preclinical abnormalities in the absence of obvious symptoms of cognitive decline. The active use of biomarkers in clinical practice, in combination with genetic screening for the early diagnosis of cognitive impairment in Alzheimers disease, can improve the timeliness and effectiveness of medical interventions.
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