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Chang HI, Huang KL, Huang CG, Huang CW, Huang SH, Lin KJ, Chang CC. Clinical Significance of the Plasma Biomarker Panels in Amyloid-Negative and Tau PET-Positive Amnestic Patients: Comparisons with Alzheimer's Disease and Unimpaired Cognitive Controls. Int J Mol Sci 2024; 25:5607. [PMID: 38891795 PMCID: PMC11171590 DOI: 10.3390/ijms25115607] [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: 04/12/2024] [Revised: 05/14/2024] [Accepted: 05/15/2024] [Indexed: 06/21/2024] Open
Abstract
The purpose of this study was to investigate whether plasma biomarkers can help to diagnose, differentiate from Alzheimer disease (AD), and stage cognitive performance in patients with positron emission tomography (PET)-confirmed primary age-related tauopathy, termed tau-first cognitive proteinopathy (TCP) in this study. In this multi-center study, we enrolled 285 subjects with young-onset AD (YOAD; n = 55), late-onset AD (LOAD; n = 96), TCP (n = 44), and cognitively unimpaired controls (CTL; n = 90) and analyzed plasma Aβ42/Aβ40, pTau181, neurofilament light (NFL), and total-tau using single-molecule assays. Amyloid and tau centiloids reflected pathological burden, and hippocampal volume reflected structural integrity. Receiver operating characteristic curves and areas under the curves (AUCs) were used to determine the diagnostic accuracy of plasma biomarkers compared to hippocampal volume and amyloid and tau centiloids. The Mini-Mental State Examination score (MMSE) served as the major cognitive outcome. Logistic stepwise regression was used to assess the overall diagnostic accuracy, combining fluid and structural biomarkers and a stepwise linear regression model for the significant variables for MMSE. For TCP, tau centiloid reached the highest AUC for diagnosis (0.79), while pTau181 could differentiate TCP from YOAD (accuracy 0.775) and LOAD (accuracy 0.806). NFL reflected the clinical dementia rating in TCP, while pTau181 (rho = 0.3487, p = 0.03) and Aβ42/Aβ40 (rho = -0.36, p = 0.02) were significantly correlated with tau centiloid. Hippocampal volume (unstandardized β = 4.99, p = 0.01) outperformed all of the fluid biomarkers in predicting MMSE scores in the TCP group. Our results support the superiority of tau PET to diagnose TCP, pTau181 to differentiate TCP from YOAD or LOAD, and NFL for functional staging.
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Affiliation(s)
- Hsin-I Chang
- Department of Neurology, Cognition and Aging Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (H.-I.C.); (C.-W.H.)
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
| | - Kuo-Lun Huang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333423, Taiwan;
| | - Chung-Gue Huang
- Department of Medical Laboratory, Linkou Chang Gung Memorial Hospital, Department of Medical Bio-Technology and Laboratory Science, Chang Gung University, Taoyuan 333423, Taiwan;
| | - Chi-Wei Huang
- Department of Neurology, Cognition and Aging Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (H.-I.C.); (C.-W.H.)
| | - Shu-Hua Huang
- Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan;
| | - Kun-Ju Lin
- Department of Nuclear Medicine, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333423, Taiwan;
| | - Chiung-Chih Chang
- Department of Neurology, Cognition and Aging Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (H.-I.C.); (C.-W.H.)
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung 80404, Taiwan
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Clark AL, Thomas KR, Ortega N, Haley AP, Duarte A, O'Bryant S. Empirically derived psychosocial-behavioral phenotypes in Black/African American and Hispanic/Latino older adults enrolled in HABS-HD: Associations with AD biomarkers and cognitive outcomes. Alzheimers Dement 2024; 20:1360-1373. [PMID: 37990803 PMCID: PMC10917046 DOI: 10.1002/alz.13544] [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: 07/25/2023] [Revised: 09/21/2023] [Accepted: 10/14/2023] [Indexed: 11/23/2023]
Abstract
INTRODUCTION Identification of psychosocial-behavioral phenotypes to understand within-group heterogeneity in risk and resiliency to Alzheimer's disease (AD) within Black/African American and Hispanic/Latino older adults is essential for the implementation of precision health approaches. METHODS A cluster analysis was performed on baseline measures of socioeconomic resources (annual income, social support, occupational complexity) and psychiatric distress (chronic stress, depression, anxiety) for 1220 racially/ethnically minoritized adults enrolled in the Health and Aging Brain Study-Health Disparities (HABS-HD). Analyses of covariance adjusting for sociodemographic factors examined phenotype differences in cognition and plasma AD biomarkers. RESULTS The cluster analysis identified (1) Low Resource/High Distress (n = 256); (2) High Resource/Low Distress (n = 485); and (3) Low Resource/Low Distress (n = 479) phenotypes. The Low Resource/High Distress phenotype displayed poorer cognition and higher plasma neurofilament light chain; differences between the High Resource/Low Distress and Low Resource/Low Distress phenotypes were minimal. DISCUSSION The identification of psychosocial-behavioral phenotypes within racially/ethnically minoritized older adults is crucial to the development of targeted AD prevention and intervention efforts.
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Affiliation(s)
- Alexandra L. Clark
- Department of PsychologyThe University of Texas at AustinAustinTexasUSA
- Research ServiceVA San Diego Healthcare SystemSan DiegoCaliforniaUSA
| | - Kelsey R. Thomas
- Research ServiceVA San Diego Healthcare SystemSan DiegoCaliforniaUSA
- Department of PsychiatryUniversity of California San Diego Medical SchoolLa JollaCaliforniaUSA
| | - Nazareth Ortega
- Department of PsychologyThe University of Texas at AustinAustinTexasUSA
| | - Andreana P. Haley
- Department of PsychologyThe University of Texas at AustinAustinTexasUSA
| | - Audrey Duarte
- Department of PsychologyThe University of Texas at AustinAustinTexasUSA
| | - Sid O'Bryant
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Family MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
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Jin S, Li C, Miao J, Sun J, Yang Z, Cao X, Sun K, Liu X, Ma L, Xu X, Liu Z. Sociodemographic Factors Predict Incident Mild Cognitive Impairment: A Brief Review and Empirical Study. J Am Med Dir Assoc 2023; 24:1959-1966.e7. [PMID: 37716705 DOI: 10.1016/j.jamda.2023.08.016] [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: 03/25/2023] [Revised: 08/15/2023] [Accepted: 08/17/2023] [Indexed: 09/18/2023]
Abstract
OBJECTIVES Mild cognitive impairment (MCI) is a transitional stage between normal cognitive aging and dementia that increases the risk of progressive cognitive decline. Early prediction of MCI could be beneficial for identifying vulnerable individuals in the community and planning primary and secondary prevention to reduce the incidence of MCI. DESIGN A narrative review and cohort study. SETTING AND PARTICIPANTS We review the MCI prediction based on the assessment of sociodemographic factors. We included participants from 3 surveys: 8915 from wave 2011/2012 of the China Health and Retirement Longitudinal Study (CHARLS), 9765 from the 2011 Chinese Longitudinal Healthy Longevity Survey (CLHLS), and 1823 from the 2014 Rugao Longevity and Ageing Study (RuLAS). METHODS We searched in PubMed, Embase, and Web of Science Core Collection between January 1, 2019, and December 30, 2022. To construct the composite risk score, a multivariate Cox proportional hazards regression model was used. The performance of the score was assessed using receiver operating characteristic (ROC) curves. Furthermore, the composite risk score was validated in 2 longitudinal cohorts, CLHLS and RuLAS. RESULTS We concluded on 20 articles from 892 available. The results suggested that the previous models suffered from several defects, including overreliance on cross-sectional data, low predictive utility, inconvenient measurement, and inapplicability to developing countries. Our empirical work suggested that the area under the curve for a 5-year MCI prediction was 0.861 in CHARLS, 0.797 in CLHLS, and 0.823 in RuLAS. We designed a publicly available online tool for this composite risk score. CONCLUSIONS AND IMPLICATIONS Attention to these sociodemographic factors related to the incidence of MCI can be beneficially incorporated into the current work, which will set the stage for better early prediction of MCI before its incidence and for reducing the burden of the disease.
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Affiliation(s)
- Shuyi Jin
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Chenxi Li
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jiani Miao
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jingyi Sun
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zhenqing Yang
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xingqi Cao
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Kaili Sun
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaoting Liu
- School of Public Affairs, Zhejiang University, Hangzhou, Zhejiang, China
| | - Lina Ma
- Department of Geriatrics, Xuanwu Hospital Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Xin Xu
- Department of Big Data in Health Science School of Public Health, and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Medicine, Zhejiang University, China.
| | - Zuyun Liu
- Institute of Wenzhou, Second Affiliated Hospital, and School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
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Housini M, Zhou Z, Gutierrez J, Rao S, Jomaa R, Subasinghe K, Reid DM, Silzer T, Phillips N, O'Bryant S, Barber RC. Top Alzheimer's disease risk allele frequencies differ in HABS-HD Mexican- versus Non-Hispanic White Americans. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12518. [PMID: 38155914 PMCID: PMC10752755 DOI: 10.1002/dad2.12518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 11/13/2023] [Accepted: 11/25/2023] [Indexed: 12/30/2023]
Abstract
INTRODUCTION: Here we evaluate frequencies of the top 10 Alzheimer's disease (AD) risk alleles for late-onset AD in Mexican American (MA) and non-Hispanic White (NHW) American participants enrolled in the Health and Aging Brain Study-Health Disparities Study cohort. METHODS: Using DNA extracted from this community-based diverse population, we calculated the genotype frequencies in each population to determine whether a significant difference is detected between the different ethnicities. DNA genotyping was performed per manufacturers' protocols. RESULTS: Allele and genotype frequencies for 9 of the 11 single nucleotide polymorphisms (two apolipoprotein E variants, CR1, BIN1, DRB1, NYAP1, PTK2B, FERMT2, and ABCA7) differed significantly between MAs and NHWs. DISCUSSION: The significant differences in frequencies of top AD risk alleles observed here across MAs and NHWs suggest that ethnicity-specific genetic risks for AD exist. Given our results, we are advancing additional projects to further elucidate ethnicity-specific differences in AD.
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Affiliation(s)
- Mohammad Housini
- Department of Pharmacology and NeuroscienceSchool of Biomedical SciencesUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Family Medicine & Manipulative MedicineTexas College of Osteopathic MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Zhengyang Zhou
- Department of Biostatistics and EpidemiologySchool of Public HealthUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Institute for Translational ResearchUNT Health Science CenterFort WorthTexasUSA
| | - John Gutierrez
- Department of Internal MedicineTexas Institute for Graduate Medical Education and ResearchSan AntonioTexasUSA
| | - Sumedha Rao
- Department of Family Medicine & Manipulative MedicineTexas College of Osteopathic MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Rodwan Jomaa
- Department of Family Medicine & Manipulative MedicineTexas College of Osteopathic MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Kumudu Subasinghe
- Department of MicrobiologyImmunology and GeneticsSchool of Biomedical SciencesUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Danielle Marie Reid
- Department of MicrobiologyImmunology and GeneticsSchool of Biomedical SciencesUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Talisa Silzer
- Department of MicrobiologyImmunology and GeneticsSchool of Biomedical SciencesUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Nicole Phillips
- Institute for Translational ResearchUNT Health Science CenterFort WorthTexasUSA
- Department of MicrobiologyImmunology and GeneticsSchool of Biomedical SciencesUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Sid O'Bryant
- Department of Family Medicine & Manipulative MedicineTexas College of Osteopathic MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Institute for Translational ResearchUNT Health Science CenterFort WorthTexasUSA
| | - Robert Clinton Barber
- Department of Family Medicine & Manipulative MedicineTexas College of Osteopathic MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Institute for Translational ResearchUNT Health Science CenterFort WorthTexasUSA
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Grasso SM, Clark AL, Petersen M, O'Bryant S. Bilingual neurocognitive resiliency, vulnerability, and Alzheimer's disease biomarker correlates in Latino older adults enrolled in the Health and Aging Brain Study - Health Disparities (HABS-HD). ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12509. [PMID: 38089652 PMCID: PMC10711150 DOI: 10.1002/dad2.12509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/03/2023] [Accepted: 10/27/2023] [Indexed: 02/01/2024]
Abstract
INTRODUCTION The effects of bilingualism on neuropsychological test performance in bilinguals with and without cognitive impairment are not well-understood and are relatively limited by small sample sizes of Latinos. METHODS Using analysis of covariance (ANCOVA), we explored patterns of cognitive performance and impairment across a large sample of community-dwelling bilingual and monolingual Latino older adults with (n = 180) and without (n = 643) mild cognitive impairment (MCI) enrolled in HABS-HD. RESULTS Bilinguals demonstrated cognitive resiliency in the form of significantly better performance on the Trail Making Test and Digit Symbol Substitution Test, observed across the cognitively unimpaired and MCI groups. In contrast, bilinguals demonstrated cognitive vulnerability in the form of significantly poorer performance and higher impairment rates on phonemic fluency in the MCI phase, only. Follow-up analyses revealed less balanced bilinguals demonstrated poorer performance and higher impairment rates on this measure, supported by lower levels of plasma Aβ 42/40. DISCUSSION Patterns of cognitive performance and impairment differ as a function of bilingualism. Bilingualism must be considered when evaluating cognitive and biomarker outcomes in Latino older adults. Highlights Latino bilinguals perform better on measures of processing speed and coding.Latino bilinguals with MCI demonstrate cognitive vulnerability in verbal fluency.Less balanced bilinguals demonstrate greatest vulnerability anchored by Aβ 42/40.
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Affiliation(s)
- Stephanie M Grasso
- Department of Speech, Language, & Hearing Sciences Moody College of Communication The University of Texas (UT) at Austin Austin Texas USA
| | - Alexandra L Clark
- Department of Psychology College of Liberal Arts UT Austin Austin Texas USA
| | - Melissa Petersen
- Institute for Translational Research University of North Texas Health Science Center Fort Worth Texas USA
- Department of Family Medicine University of North Texas Health Science Center Fort Worth Texas USA
| | - Sid O'Bryant
- Institute for Translational Research University of North Texas Health Science Center Fort Worth Texas USA
- Department of Family Medicine University of North Texas Health Science Center Fort Worth Texas USA
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Zhang F, Petersen M, Johnson L, Hall J, O'Bryant SE. Comorbidities Incorporated to Improve Prediction for Prevalent Mild Cognitive Impairment and Alzheimer's Disease in the HABS-HD Study. J Alzheimers Dis 2023; 96:1529-1546. [PMID: 38007662 DOI: 10.3233/jad-230755] [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] [Indexed: 11/27/2023]
Abstract
BACKGROUND Blood biomarkers have the potential to transform Alzheimer's disease (AD) diagnosis and monitoring, yet their integration with common medical comorbidities remains insufficiently explored. OBJECTIVE This study aims to enhance blood biomarkers' sensitivity, specificity, and predictive performance by incorporating comorbidities. We assess this integration's efficacy in diagnostic classification using machine learning, hypothesizing that it can identify a confident set of predictive features. METHODS We analyzed data from 1,705 participants in the Health and Aging Brain Study-Health Disparities, including 116 AD patients, 261 with mild cognitive impairment, and 1,328 cognitively normal controls. Blood samples were assayed using electrochemiluminescence and single molecule array technology, alongside comorbidity data gathered through clinical interviews and medical records. We visually explored blood biomarker and comorbidity characteristics, developed a Feature Importance and SVM-based Leave-One-Out Recursive Feature Elimination (FI-SVM-RFE-LOO) method to optimize feature selection, and compared four models: Biomarker Only, Comorbidity Only, Biomarker and Comorbidity, and Feature-Selected Biomarker and Comorbidity. RESULTS The combination model incorporating 17 blood biomarkers and 12 comorbidity variables outperformed single-modal models, with NPV12 at 92.78%, AUC at 67.59%, and Sensitivity at 65.70%. Feature selection led to 22 chosen features, resulting in the highest performance, with NPV12 at 93.76%, AUC at 69.22%, and Sensitivity at 70.69%. Additionally, interpretative machine learning highlighted factors contributing to improved prediction performance. CONCLUSIONS In conclusion, combining feature-selected biomarkers and comorbidities enhances prediction performance, while feature selection optimizes their integration. These findings hold promise for understanding AD pathophysiology and advancing preventive treatments.
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Affiliation(s)
- Fan Zhang
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Melissa Petersen
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Leigh Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - James Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Sid E O'Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
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O'Bryant SE, Petersen M, Hall J, Johnson LA. Medical comorbidities and ethnicity impact plasma Alzheimer's disease biomarkers: Important considerations for clinical trials and practice. Alzheimers Dement 2023; 19:36-43. [PMID: 35235702 DOI: 10.1002/alz.12647] [Citation(s) in RCA: 36] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/31/2022] [Accepted: 02/05/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Despite the clinical implementation, there remain significant gaps in our knowledge regarding the impact of race/ethnicity or common medical comorbidity on plasma Alzheimer's disease (AD) biomarkers. METHODS Plasma biomarkers of amyloid beta (Aβ)40, Aβ42 , total tau, and neurofilament light chain (NfL) were measured across cognitively normal Mexican Americans (n = 445) and non-Hispanic Whites (n = 520). RESULTS Dyslipidemia was associated with elevated Aβ40 (P = .01) and Aβ42 (P = .001) while hypertension was associated with elevated Aβ40 (P = .003), Aβ42 (P < .001), and total tau (P = .002) levels. Diabetes was associated with higher Aβ40 (P < .001), Aβ42 (P < .001), total tau (P < .001), and NfL (P < .001) levels. Chronic kidney disease (CKD) was associated with elevations in Aβ40 (P < .001), Aβ42 (P < .001), total tau (P < .001), and NfL (P < .001) levels. Mexican Americans had significantly lower Aβ40 (P < .001) and higher total tau (P = .005) levels. DISCUSSION Plasma AD biomarkers vary significantly in association with common medical comorbidities as well as ethnicity. These findings are important for those using these biomarkers in clinical practice and clinical trials.
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Affiliation(s)
- Sid E O'Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Melissa Petersen
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA.,Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - James Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Leigh A Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA.,Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
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O'Bryant SE, Zhang F, Johnson LA, Hall J, Petersen M, Oh ES, Lyketsos CG, Rissman RA. Precision Medicine for Preventing Alzheimer's Disease: Analysis of the ADAPT Study. J Alzheimers Dis 2023; 95:1609-1622. [PMID: 37718801 DOI: 10.3233/jad-230317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
BACKGROUND The Alzheimer's Disease Anti-inflammatory Prevention Trial (ADAPT) was the first-ever large-scale anti-inflammatory prevention trial targeting Alzheimer's disease. OBJECTIVE The overall goal of this study was to evaluate predictive blood biomarker profiles that identified individuals most likely to be responders on NSAID treatment or placebo at 12 and 24 months. METHODS Baseline (n = 193) and 12-month (n = 562) plasma samples were assayed. The predictive biomarker profile was generated using SVM analyses with response on treatment (yes/no) as the outcome variable. RESULTS Baseline (AUC = 0.99) and 12-month (AUC = 0.99) predictive biomarker profiles were highly accurate in predicting response on Celecoxib arm at 12 and 24 months. The baseline (AUC = 0.95) and 12-month (AUC = 0.9) predictive biomarker profile predicting response on Naproxen were also highly accurate at 12 and 24 months. The baseline (AUC = 0.93) and 12-month (AUC = 0.99) predictive biomarker profile was also highly accurate in predicting response on placebo. As with our prior work, the profiles varied by treatment arm. CONCLUSIONS The current results provide additional support for a precision medicine model for treating and preventing Alzheimer's disease.
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Affiliation(s)
- Sid E O'Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Fan Zhang
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Leigh A Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Pharmacology & Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - James Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Melissa Petersen
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Esther S Oh
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Constantine G Lyketsos
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Robert A Rissman
- Department of Neurosciences, UCSD School of Medicine, La Jolla, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
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Quiroz YT, Solis M, Aranda MP, Arbaje AI, Arroyo‐Miranda M, Cabrera LY, Carrasquillo MM, Corrada MM, Crivelli L, Diminich ED, Dorsman KA, Gonzales M, González HM, Gonzalez‐Seda AL, Grinberg LT, Guerrero LR, Hill CV, Jimenez‐Velazquez IZ, Guerra JJL, Lopera F, Maestre G, Medina LD, O'Bryant S, Peñaloza C, Pinzon MM, Mavarez RVP, Pluim CF, Raman R, Rascovsky K, Rentz DM, Reyes Y, Rosselli M, Tansey MG, Vila‐Castelar C, Zuelsdorff M, Carrillo M, Sexton C. Addressing the disparities in dementia risk, early detection and care in Latino populations: Highlights from the second Latinos & Alzheimer's Symposium. Alzheimers Dement 2022; 18:1677-1686. [PMID: 35199931 PMCID: PMC9399296 DOI: 10.1002/alz.12589] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/20/2021] [Accepted: 12/21/2021] [Indexed: 02/05/2023]
Abstract
The Alzheimer's Association hosted the second Latinos & Alzheimer's Symposium in May 2021. Due to the COVID-19 pandemic, the meeting was held online over 2 days, with virtual presentations, discussions, mentoring sessions, and posters. The Latino population in the United States is projected to have the steepest increase in Alzheimer's disease (AD) in the next 40 years, compared to other ethnic groups. Latinos have increased risk for AD and other dementias, limited access to quality care, and are severely underrepresented in AD and dementia research and clinical trials. The symposium highlighted developments in AD research with Latino populations, including advances in AD biomarkers, and novel cognitive assessments for Spanish-speaking populations, as well as the need to effectively recruit and retain Latinos in clinical research, and how best to deliver health-care services and to aid caregivers of Latinos living with AD.
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Affiliation(s)
- Yakeel T. Quiroz
- Harvard Medical SchoolMassachusetts General HospitalBostonMassachusettsUSA
| | | | | | - Alicia I. Arbaje
- Division of Geriatric Medicine and GerontologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
- Department of Health Policy and ManagementJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | | | - Laura Y. Cabrera
- The Pennsylvania State UniversityDepartment of Engineering Science and MechanicsUniversity ParkPennsylvaniaUSA
| | | | | | - Lucia Crivelli
- FleniDepartment of Cognitive NeurologyBuenos AiresArgentina
| | | | | | - Mitzi Gonzales
- The University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Héctor M. González
- Department of NeurosciencesUniversity of California, San DiegoSan DiegoCaliforniaUSA
| | | | - Lea T. Grinberg
- University of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Lourdes R. Guerrero
- David Geffen School of Medicine at University of California, Los AngelesLos AngelesCaliforniaUSA
| | | | - Ivonne Z. Jimenez‐Velazquez
- Medicine DepartmentUniversity of Puerto Rico School of MedicineMedical Sciences CampusSan JuanPuerto RicoUSA
| | | | - Francisco Lopera
- Neuroscience Group of AntioquiaUniversity of AntioquiaMedellinColombia
| | | | | | - Sid O'Bryant
- University of North Texas Health Science CenterFort WorthTexasUSA
| | - Claudia Peñaloza
- Department of CognitionDevelopment and Educational PsychologyUniversity of BarcelonaBarcelonaSpain
| | - Maria Mora Pinzon
- Department of Family Medicine and Community HealthUniversity of Wisconsin–MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - Rosa V. Pirela Mavarez
- University of Texas Rio Grande ValleySchool of Medicine, Department of Human GeneticsEdinburgTexasUSA
- Rio Grande Valley Alzheimer's Disease Resources Center for Minority Aging ResearchUniversity of Texas Rio Grande ValleySchool of MedicineEdinburgTexasUSA
| | - Celina F. Pluim
- Harvard Medical SchoolMassachusetts General HospitalBostonMassachusettsUSA
| | - Rema Raman
- Alzheimer's Therapeutic Research InstituteUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Katya Rascovsky
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | | | - Monica Rosselli
- Department of PsychologyFlorida Atlantic UniversityBoca RatonFloridaUSA
| | | | | | - Megan Zuelsdorff
- University of Wisconsin–Madison School of NursingMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA
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10
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O’Bryant SE, Petersen M, Hall J, Johnson LA. Depression is differentially related to cognitive and biomarker outcomes among Mexican Americans. Front Psychiatry 2022; 13:901403. [PMID: 36081458 PMCID: PMC9445986 DOI: 10.3389/fpsyt.2022.901403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/18/2022] [Indexed: 11/26/2022] Open
Abstract
Introduction Despite tremendous advancements in the research of Alzheimer's disease (AD), Mexican Americans, who reflect 65% of the US Hispanic community, remain severely underrepresented in research. Our data demonstrate that risk factors for, and biomarkers of, AD are different among Mexican Americans as compared with non-Hispanic whites. Here, we examined the impact of depressive symptoms on cognitive and AD-relevant biomarker outcomes among the Mexican Americans. Methods Data were examined from 1,633 (852 Mexican Americans and 781 non-Hispanic whites) of the Health and Aging Brain Study-Health Disparities (HABS-HD). Depression was assessed using the Geriatric Depression Scale while cognition was measured using detailed neuropsychological testing. Plasma biomarkers of Aβ40, Aβ42, total tau, and NfL were examined in addition to MRI-based neurodegeneration. PET amyloid data were available in a subset of participants. Results Depressive symptoms were significantly associated with cognitive testing results among both Mexican Americans and non-Hispanic whites. However, depression was only significantly associated with cognitive outcomes and plasma biomarkers among the Mexican American APOEε4 non-carriers. Discussion Depressive symptoms are more commonly endorsed by Mexican Americans and these symptoms are more strongly associated with cognitive and AD-biomarker outcomes among this ethnic group. However, depression scores were only related to AD outcomes among APOEε4 non-carriers within the Mexican American group. These findings can aid in the development of a population-informed precision medicine for treating and preventing cognitive loss among the Mexican Americans.
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Affiliation(s)
- Sid E. O’Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Melissa Petersen
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - James Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Leigh A. Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, United States
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11
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Hall JR, Petersen M, Johnson L, O'Bryant SE. Characterizing Plasma Biomarkers of Alzheimer's in a Diverse Community-Based Cohort: A Cross-Sectional Study of the HAB-HD Cohort. Front Neurol 2022; 13:871947. [PMID: 36062019 PMCID: PMC9435735 DOI: 10.3389/fneur.2022.871947] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/25/2022] [Indexed: 11/17/2022] Open
Abstract
Background Due to their low cost, less invasive nature, and ready availability, plasma biomarkers of Alzheimer's disease have been proposed as one-time screening tools for clinical trials and research. The impact of ethnoracial factors on these biomarkers has received little attention. The current cross-sectional study investigated the levels of Aβ40, Aβ42, total tau (t tau), and neurofilament light (NfL) across diagnoses for each of the three major ethnoracial groups in the United States in a community-based cohort of older adults. Methods A total of 1,862 participants (852 Mexican Americans (MAs); 775 non-Hispanic Whites (NHWs), and 235 African Americans (AAs)) drawn from The Health & Aging Brain Study—Health Disparities (HABS-HD) study were included. Diagnoses were assigned using an algorithm (decision tree) verified by consensus review. Plasma samples were assayed using Simoa technology. Levels of each biomarker were compared for the three ethnoracial groups across cognitive diagnoses using ANOVA covarying sex and age. Results Significant differences were found across the groups at each level of cognitive impairment. Cognitively unimpaired (CU) AA had significantly lower levels of each of the biomarkers than cognitively unimpaired MA or NHW and NHW had higher levels of Aβ40, and NfL than the other two groups. MA had higher t tau than AA or NHW. Mild cognitive impairment (MCI) group NHW had the highest levels on all the biomarkers and AA had the lowest. NHW and MA have higher levels of Aβ40, Aβ42, and t tau there was no difference between the groups for Aβ42. NHW had significantly higher levels of Aβ40, t tau, and NfL than AA. AA had a higher Aβ42/Aβ40 ratio than either NHW or MA for CU MCI. Conclusions The use of plasma biomarkers of cognitive decline is promising given their advantages over other biomarkers such as CSF and imaging but as the current research shows, ethnoracial differences must be considered to enhance accuracy and utility. Developing ethnoracial-specific cut points and establishing normative ranges by assay platform for each of the biomarkers are needed. Longitudinal research to assess changes in biomarkers during a cognitive decline is ongoing.
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Affiliation(s)
- James R. Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
- *Correspondence: James R. Hall
| | - Melissa Petersen
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Leigh Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Sid E. O'Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
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12
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O'Bryant SE, Petersen M, Hall J, Johnson L. APOEε4 Genotype Is Related to Brain Amyloid Among Mexican Americans in the HABS-HD Study. Front Neurol 2022; 13:834685. [PMID: 35785339 PMCID: PMC9245505 DOI: 10.3389/fneur.2022.834685] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/22/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Despite the fact that Hispanics are expected to experience the greatest increase in Alzheimer's disease (AD) and related dementias (ADRDs) by 2060, very little data is available regarding the fundamental biomarkers of AD among Mexican Americans who reflect the majority of Hispanics in the U.S. Here we sought to examine the link between APOEε4 genotype and brain amyloid among Mexican Americans as compared to non-Hispanic white participants from the Health & Aging Brain Study - Health Disparities (HABS-HD) cohort. Methods PET amyloid (florbetaben) data were analyzed from 105 Mexican American and 150 non-Hispanic white participants. Results Among Mexican Americans, APOEε4 genotype presence was associated with Global SUVR (p = 0.003) as well as amyloid burden in the frontal (p < 0.001), lateral parietal (p = 0.003), lateral temporal (p = 0.008) and anterior-posterior cingulate (p = 0.005) regions of interest (ROIs). Among non-Hispanic white participants, APOEε4 genotype presence was associated with Global SUVR (p < 0.001) as well as amyloid burden in the frontal (p < 0.001), lateral parietal (p < 0.001), lateral temporal (p < 0.001) and anterior-posterior cingulate (p < 0.001) regions of interest (ROIs). The association between APOEε4 genotype and cerebral amyloid was strongest among non-Hispanic white participants. Discussion/Conclusion Despite the fact that the APOEε4 genotype is significantly less frequent among Mexican Americans, its presence remains to be a significant risk factor among this group for AD pathological burden across all regions. Additional work is needed to understand the presence, progression, and clinical impact of brain amyloid among Mexican Americans.
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Affiliation(s)
- Sid E. O'Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Melissa Petersen
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - James Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Leigh Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, United States
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13
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Gonzales MM, Wang C, Short MI, Parent DM, Kautz T, MacCarthy D, Satizabal CL, González DA, Royall DR, Zare H, O'Bryant S, Maestre GE, Tracy RP, Seshadri S. Blood biomarkers for cognitive decline and clinical progression in a Mexican American cohort. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12298. [PMID: 35356487 PMCID: PMC8943903 DOI: 10.1002/dad2.12298] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 12/14/2021] [Accepted: 01/31/2022] [Indexed: 01/04/2023]
Abstract
Introduction: The clinical translation of biofluid markers for dementia requires validation in diverse cohorts. The study goal was to evaluate if blood biomarkers reflecting diverse pathophysiological processes predict disease progression in Mexican American adults. Methods: Mexican American adults (n = 745), 50 years of age and older, completed annual assessments over a mean of 4 years. Serum collected at baseline was assayed for total tau, neurofilament light (NFL), ubiquitin carboxyl-terminal hydrolase LI, glial fibrillary acidic protein (GFAP), soluble cluster of differentiation 14 (sCD14), and chitinase-3-like protein 1 (YKL-40). Results: Higher GFAP and NFL were associated with global cognitive decline. Only GFAP was associated with increased incident dementia risk (hazard ratio: 1.611 (95% confidence interval: 1.204-2.155)) and inclusion of additional biomarkers did not improve model fit. Discussion: Among a panel of six blood biomarkers previously associated with neurodegenerative disease, only GFAP predicted incident dementia in our cohort. The findings suggest that blood GFAP levels may aid dementia-risk prediction among Mexican American adults.
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Affiliation(s)
- Mitzi M. Gonzales
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science CenterSan AntonioTexasUSA
- Department of NeurologyUniversity of Texas Health Science CenterSan AntonioTexasUSA
| | - Chen‐Pin Wang
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science CenterSan AntonioTexasUSA
- Department of Population Health SciencesUniversity of Texas Health Science CenterSan AntonioTexasUSA
- Education & Clinical CenterSouth Texas Veterans Health Care System, Geriatric ResearchSan AntonioTexasUSA
| | - Meghan I. Short
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science CenterSan AntonioTexasUSA
- Broad Institute, Massachusetts Institute of TechnologyMassachusettsCambridgeUSA
| | - Danielle M. Parent
- Departments of Pathology & Laboratory Medicine, and BiochemistryLarner College of Medicine, University of VermontVermontBurlingtonUSA
| | - Tiffany Kautz
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science CenterSan AntonioTexasUSA
| | - Daniel MacCarthy
- Department of Population Health SciencesUniversity of Texas Health Science CenterSan AntonioTexasUSA
- Education & Clinical CenterSouth Texas Veterans Health Care System, Geriatric ResearchSan AntonioTexasUSA
| | - Claudia L. Satizabal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science CenterSan AntonioTexasUSA
- Department of Population Health SciencesUniversity of Texas Health Science CenterSan AntonioTexasUSA
- Department of NeurologyBoston University School of MedicineMassachusettsBostonUSA
| | - David Andrés González
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science CenterSan AntonioTexasUSA
- Department of NeurologyUniversity of Texas Health Science CenterSan AntonioTexasUSA
| | - Donald R. Royall
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science CenterSan AntonioTexasUSA
| | - Habil Zare
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science CenterSan AntonioTexasUSA
- Department of Cell Systems and AnatomyUniversity of Texas Health Science CenterSan AntonioTexasUSA
| | - Sid O'Bryant
- Institute for Translational Research and Department of Pharmacology & NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Gladys E. Maestre
- Neurosciences Laboratory, Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of MedicineUniversidad del ZuliaMaracaiboVenezuela
- Department of Biomedical SciencesDivision of NeurosciencesUniversity of Texas Rio Grande Valley School of MedicineBrownsvilleTexasUSA
| | - Russell P. Tracy
- Departments of Pathology & Laboratory Medicine, and BiochemistryLarner College of Medicine, University of VermontVermontBurlingtonUSA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative DiseasesUniversity of Texas Health Science CenterSan AntonioTexasUSA
- Department of NeurologyUniversity of Texas Health Science CenterSan AntonioTexasUSA
- Department of NeurologyBoston University School of MedicineMassachusettsBostonUSA
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14
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O’Bryant SE, Petersen M, Hall J, Johnson L. Metabolic Factors Are Related to Brain Amyloid Among Mexican Americans: A HABS-HD Study. J Alzheimers Dis 2022; 86:1745-1750. [PMID: 35253763 PMCID: PMC9364418 DOI: 10.3233/jad-215620] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Despite the tremendous amount of research on Alzheimer's disease (AD) biomarkers, very little data is available regarding the fundamental biomarkers of AD among Mexican Americans. OBJECTIVE Here we sought to examine the link between metabolic markers and brain amyloid among Mexican Americans as compared to non-Hispanic whites from the Health & Aging Brain Study -Health Disparities (HABS-HD) cohort. METHODS PET amyloid (florbetaben) data was analyzed from 34 Mexican American and 22 non-Hispanic white participants. RESULTS Glucagon (t = 3.84, p < 0.001) and insulin (t = -2.56, p = 0.02) were both significantly related to global SUVR levels among Mexican Americans. Glucagon and insulin were both related to most ROIs. No metabolic markers were significantly related to brain amyloid levels among non-Hispanic whites. CONCLUSION Metabolic markers are related to brain amyloid burden among Mexican Americans. Given the increased risk for diabetes, additional research is needed to determine the impact of diabetes on core AD biomarkers among this underserved population.
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Affiliation(s)
- Sid E. O’Bryant
- University of North Texas Health Science Center, Institute for Translational Research, Fort Worth, Texas, U.S.A.,Address correspondence to: Sid O’Bryant, Ph.D., University of North Texas Health Science Center, Fort Worth, USA; ; 1+817-735-2962
| | - Melissa Petersen
- University of North Texas Health Science Center, Institute for Translational Research, Fort Worth, Texas, U.S.A.,University of North Texas Health Science Center, Department of Family Medicine, Fort Worth, Texas, U.S.A
| | - James Hall
- University of North Texas Health Science Center, Institute for Translational Research, Fort Worth, Texas, U.S.A
| | - Leigh Johnson
- University of North Texas Health Science Center, Institute for Translational Research, Fort Worth, Texas, U.S.A
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15
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O’Bryant SE, Zhang F, Petersen M, Hall JR, Johnson LA, Yaffe K, Braskie M, Vig R, Toga AW, Rissman RA. Proteomic Profiles of Neurodegeneration Among Mexican Americans and Non-Hispanic Whites in the HABS-HD Study. J Alzheimers Dis 2022; 86:1243-1254. [PMID: 35180110 PMCID: PMC9376967 DOI: 10.3233/jad-210543] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND Hispanics are expected to experience the largest increase in Alzheimer's disease (AD) and AD related dementias over the next several decades. However, few studies have examined biomarkers of AD among Mexican Americans, the largest segment of the U.S. Hispanic population. OBJECTIVE We sought to examine proteomic profiles of an MRI-based marker of neurodegeneration from the AT(N) framework among a multi-ethnic, community-dwelling cohort. METHODS Community-dwelling Mexican Americans and non-Hispanic white adults and elders were recruited. All participants underwent comprehensive assessments including an interview, functional exam, clinical labs, informant interview, neuropsychological testing, and 3T MRI of the brain. A neurodegeneration MRI meta-ROI biomarker for the AT(N) framework was calculated. RESULTS Data was examined from n = 1,291 participants. Proteomic profiles were highly accurate for detecting neurodegeneration (i.e., N+) among both Mexican Americans (AUC = 1.0) and non-Hispanic whites (AUC = 0.98). The proteomic profile of N + was different between ethnic groups. Further analyses revealed that the proteomic profiles of N + varied by diagnostic status (control, MCI, dementia) and ethnicity (Mexican American versus non-Hispanic whites) though diagnostic accuracy was high for all classifications. CONCLUSION A proteomic profile of neurodegeneration has tremendous value and point towards novel diagnostic and intervention opportunities. The current findings demonstrate that the underlying biological factors associated with neurodegeneration are different between Mexican Americans versus non-Hispanic whites as well as at different levels of disease progression.
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Affiliation(s)
- Sid E. O’Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA,Address correspondence to: Sid O’Bryant, Ph.D., University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, Texas, 76107 USA; ; 1+817-735-2962
| | - Fan Zhang
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA,Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Melissa Petersen
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA,Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - James R. Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA,Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Leigh A. Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA,Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Kristine Yaffe
- Department of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California, San Francisco, CA, USA,San Francisco VA Medical Center, San Francisco, CA, USA
| | - Meredith Braskie
- Imaging Genetics Center, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Rocky Vig
- Imaging, Midtown Medical Imaging, Fort Worth, Texas, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Arthur W. Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Robert A. Rissman
- Department of Neurosciences, University of California, San Diego, La Jolla, CA and Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
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16
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O’Bryant SE, Petersen M, Hall J, Johnson LA, Barber R, Phillips N, Braskie MN, Yaffe K, Rissman R, Toga A. Characterization of Mild Cognitive Impairment and Dementia among Community-Dwelling Mexican Americans and Non-Hispanic Whites. J Alzheimers Dis 2022; 90:905-915. [PMID: 36189588 PMCID: PMC10117692 DOI: 10.3233/jad-220300] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Despite tremendous advancements in the field, our understanding of mild cognitive impairment (MCI) and Alzheimer's disease (AD) among Mexican Americans remains limited. OBJECTIVE The aim of this study was to characterize MCI and dementia among Mexican Americans and non-Hispanic whites. METHODS Baseline data were analyzed from n = 1,705 (n = 890 Mexican American; n = 815 non-Hispanic white) participants enrolled in the Health and Aging Brain Study-Health Disparities (HABS-HD). RESULTS Among Mexican Americans, age (OR = 1.07), depression (OR = 1.09), and MRI-based neurodegeneration (OR = 0.01) were associated with dementia, but none of these factors were associated with MCI. Among non-Hispanic whites, male gender (OR = 0.33), neighborhood deprivation (OR = 1.34), depression (OR = 1.09), and MRI-based neurodegeneration (OR = 0.03) were associated with MCI, while depression (OR = 1.09) and APOEɛ4 genotype (OR = 4.38) were associated with dementia. CONCLUSION Findings from this study revealed that the demographic, clinical, sociocultural and biomarker characteristics of MCI and dementia are different among Mexican Americans as compared to non-Hispanic whites.
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Affiliation(s)
- Sid E. O’Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Melissa Petersen
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - James Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Leigh A Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Robert Barber
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Nicole Phillips
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Meredith N. Braskie
- Imaging Genetics Center, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Kristine Yaffe
- Department of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- San Francisco VA Medical Center, San Francisco, CA, USA
| | - Robert Rissman
- Department of Neurosciences, University of California, San Diego, La Jolla, CA
- Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Arthur Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
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17
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Clark AL, Haley AP, Duarte A, O’Bryant S. Fatty Acid-Binding Protein 3 Is a Marker of Neurodegeneration and White Matter Hyperintensity Burden in Mexican American Older Adults. J Alzheimers Dis 2022; 90:61-68. [PMID: 36093702 PMCID: PMC11234903 DOI: 10.3233/jad-220524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
We examined ethnoracial differences in fatty acid binding protein (FABP)-a family of intracellular lipid carriers-and clarified FABP3 associations with gray and white matter. Relative to Mexican Americans (MAs), FABP3 was higher in Non-Hispanic Whites (NHWS, p < 0.001). Regressions revealed, independent of traditional AD markers, FABP3 was associated with neurodegeneration (B = -0.08, p = 0.003) and WMH burden (B = 0.18, p = 0.03) in MAs, but not in NHWs (ps > 0.18). Findings suggest FABP3 is related to neural health within MAs and highlight its potential as a prognostic marker of brain health in ethnoracially diverse older adults.
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Affiliation(s)
- Alexandra L. Clark
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Andreanna P. Haley
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Audrey Duarte
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Sid O’Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
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18
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Hall JR, Johnson LA, Zhang F, Petersen M, Toga AW, Shi Y, Mason D, Rissman RA, Yaffe K, O'Bryant SE. Using Fractional Anisotropy Imaging to Detect Mild Cognitive Impairment and Alzheimer's Disease among Mexican Americans and Non-Hispanic Whites: A HABLE Study. Dement Geriatr Cogn Disord 2021; 50:266-273. [PMID: 34569492 PMCID: PMC8559764 DOI: 10.1159/000518102] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 06/24/2021] [Indexed: 01/11/2023] Open
Abstract
INTRODUCTION Alzheimer's disease (AD) is the most frequently occurring neurodegenerative disease; however, little work has been conducted examining biomarkers of AD among Mexican Americans. Here, we examined diffusion tensor MRI marker profiles for detecting mild cognitive impairment (MCI) and dementia in a multi-ethnic cohort. METHODS 3T MRI measures of fractional anisotropy (FA) were examined among 1,636 participants of the ongoing community-based Health & Aging Brain among Latino Elders (HABLE) community-based study (Mexican American n = 851; non-Hispanic white n = 785). RESULTS The FA profile was highly accurate in detecting both MCI (area under the receiver operating characteristic curve [AUC] = 0.99) and dementia (AUC = 0.98). However, the FA profile varied significantly not only between diagnostic groups but also between Mexican Americans and non-Hispanic whites. CONCLUSION Findings suggest that diffusion tensor imaging markers may have a role in the neurodiagnostic process for detecting MCI and dementia among diverse populations.
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Affiliation(s)
- James R. Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA,Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA,Corresponding Author: James R. Hall, Ph.D., University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, Texas, 76107 USA; 1+817-735-2326,
| | - Leigh A. Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA,Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Fan Zhang
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA,Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Melissa Petersen
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA,Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Arthur W. Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Yonggang Shi
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - David Mason
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Robert A Rissman
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA,Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Kristine Yaffe
- Department of Psychiatry, Neurology, and Epidemology and Biostatistics, University of California, San Francisco, CA, USA,San Francisco VA Medical Center, San Francisco, CA, USA
| | - Sid E. O'Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA,Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
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